Trend Angle Momentum [MarkitTick]💡 This tool measures market structure not just as a sequence of highs and lows, but as a rate of directional change. It detects confirmed swing pivots and then calculates the geometric angle of the trendline connecting each pivot to the one before it, translating pure price action into a single, intuitive metric: degrees of trend steepness. Instead of asking traders to infer momentum from candle shape or oscillator divergence, it hands them a number — the actual angle of ascent or descent between structural turning points — along with an optional smoothed reading of how that angle is evolving over time.
✨ Originality and Utility
Most swing-detection tools stop at marking the high or low. This script goes a step further by quantifying the relationship between consecutive swings using trigonometry. Each swing-to-swing move is converted into a percentage price change, which is then run through an arctangent function to produce a true geometric angle in degrees, independent of the instrument's absolute price scale. A move on a $2 stock and a move on a $2,000 stock that share the same percentage steepness will report the same angle, making the readings comparable across symbols and timeframes in a way that raw price-based slope calculations cannot achieve.
The utility here is twofold. First, the angle itself acts as a quantified momentum proxy: a shallow angle after a strong prior swing signals decelerating momentum well before a lagging oscillator would confirm it, while a steepening angle on successive swings signals acceleration. Second, an optional Angle Momentum layer tracks a rolling average of the last several swing angles, smoothing out single-swing noise and revealing whether the broader structural rhythm of the market is strengthening or weakening. This combination — geometric normalization plus rolling angle smoothing — gives traders a structural momentum read that is not available from stock pivot tools or generic slope indicators alone.
🔬 Methodology and Concepts
• Confirmed Pivot Detection
The script identifies swing highs and swing lows using a symmetric fractal method: a bar is only confirmed as a pivot high if it is higher than a defined number of bars to its left and right, and likewise for a pivot low. The "Left Bars" and "Right Bars" inputs control how many bars on each side must confirm the extreme. Because the right-side bars must fully close before a pivot can be validated, every pivot marked on the chart is confirmed historical structure, not a live, moving estimate — the marker is deliberately plotted with a backward offset equal to the right-bar count so that its horizontal position matches where the actual swing extreme occurred, not where it was confirmed.
• Percent-to-Angle Conversion
Once two consecutive confirmed pivots of the same type (high-to-high or low-to-low) are available, the script calculates the percentage price change between them. This percentage is then optionally normalized by the number of bars separating the two pivots (via the "Normalize Angle by Bars" input), which converts the reading from "how much did price move" into "how much did price move per bar," a more useful measure of steepness when swings vary widely in duration. The resulting rate is passed through an arctangent function and converted from radians to degrees, producing a bounded, intuitive angle: values approaching plus or minus ninety degrees represent extremely steep percentage moves, while values near zero represent flat, sideways structure.
• Angle Momentum (Optional Smoothing Layer)
When enabled, the script maintains a running array of the most recent swing angles (separately for highs and lows) and reports their simple average over a user-defined lookback length. This produces a second-order reading: rather than looking at a single swing's angle in isolation, it shows whether the sequence of recent swing angles is, on average, steep or shallow, positive or negative — a way of gauging whether structural momentum is building or fading across several swings rather than just the most recent one.
• Live Dashboard
A compact on-chart table continuously summarizes the last confirmed high pivot price, the last confirmed low pivot price, the most recent high-swing angle, the most recent low-swing angle, and whether Angle Momentum smoothing is currently active, giving traders a persistent numerical snapshot without needing to hover over chart objects.
🎨 Visual Guide
Diagonal trend lines connecting consecutive swing highs (default red/green by angle sign) and consecutive swing lows are drawn directly between the two pivot points, visually representing the geometric slope being measured.
A small numeric label at the midpoint of each swing line displays the calculated angle in degrees, colored green for a positive (upward) angle and red for a negative (downward) angle by default.
When Angle Momentum is enabled, an additional label appears at the most recent pivot showing the smoothed "Mom" value in a distinct color (orange for highs, blue for lows by default), separated visually from the raw single-swing angle label.
Cross-style markers plot at each confirmed pivot high and pivot low directly on price, offset backward to align with the actual bar where the extreme occurred.
The dashboard table (position configurable) shows the symbol, timeframe, last high and low pivot prices, the latest angle readings for each, and the current on/off state of Angle Momentum.
📖 How to Use
Treat the angle label on each swing line as a normalized momentum reading for that specific leg of price action: steep angles indicate strong directional conviction, shallow angles indicate a weakening or consolidating move.
Compare the angle of the most recent swing to the angle of the swing before it. A sequence of progressively shallower high-to-high angles during an uptrend can indicate fading bullish momentum even while price is still making new highs, a structural early warning that pure price action alone may not show.
When Angle Momentum is enabled, use the smoothed "Mom" reading as a broader confirmation layer: a rising average angle across several swings supports the idea that momentum is genuinely building, rather than reacting to a single outlier swing.
Divergences between price structure and angle behavior — for example, higher swing highs paired with a declining angle momentum reading — can be used as a discretionary caution signal ahead of a potential trend deceleration.
The two alert conditions ("High Pivot Formed" and "Low Pivot Formed") can be used to build automated or semi-automated workflows that trigger only once a swing point is fully confirmed, rather than on every bar.
⚠️ Confirmation Lag Notice
All pivots and their associated angle calculations are confirmed structure. Because a pivot cannot be validated until the required number of bars on its right side have closed, every marker, line, and label is necessarily plotted a number of bars after the actual high or low occurred, equal to the "Right Bars" setting. The plotted markers are intentionally offset backward to align visually with the true location of the swing extreme — this does not mean the indicator is predicting or anticipating pivots in real time. Traders should treat swing confirmations as lagging structural events by design, not as leading signals.
⚙️ Inputs and Settings
Left Bars / Right Bars: Define the symmetric lookback and lookahead window used to validate a swing high or low. Larger values filter out minor fluctuations and confirm only more significant structural turning points, at the cost of a longer confirmation delay. Smaller values confirm pivots faster but are more sensitive to short-term noise.
Show High Swing Lines / Show Low Swing Lines: Independently toggle the diagonal trend lines connecting consecutive high or low pivots.
Show Swing Point Dots: Toggles the cross markers plotted directly at each confirmed pivot price.
Normalize Angle by Bars: When enabled, divides the percentage move between two pivots by the number of bars separating them before calculating the angle, producing a "steepness per bar" measure rather than a raw total-move angle. Useful for comparing swings of different durations on a more equal footing.
Use Angle Momentum: Enables the rolling average smoothing layer over the last several swing angles, plotted as an additional label at each new pivot.
Angle Momentum Length: Sets how many recent swing angles are averaged together for the smoothed momentum reading. Shorter lengths react faster to recent swings; longer lengths produce a smoother, slower-changing average.
Dashboard Position / Show Dashboard: Controls visibility and screen placement of the summary table.
High Pivot Action / Low Pivot Action: Custom text tags embedded into the JSON alert payload for each pivot type, useful for routing alerts to external automation systems that key off a specific action string.
Color inputs: Independently control the color of swing lines, angle text, pivot cross markers, momentum labels, and dashboard theming to match personal charting preferences.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The core of this indicator rests on classical trigonometric slope analysis rather than any single named technical analysis school. Converting a price move into an angle is mathematically equivalent to computing the arctangent of a rate of change, the same operation used broadly in engineering and physics to express a gradient as an angular measure rather than a raw ratio. Expressing the swing-to-swing move as a percentage change before applying the arctangent function normalizes the calculation across instruments of different absolute price levels, addressing a well-known limitation of naive "price-per-bar" slope measures, which are not comparable between a low-priced and high-priced instrument, or between two different timeframes without adjustment. The optional bar-normalization step draws on the same logic used in rate-of-change and momentum oscillators broadly, where a raw price delta is scaled by the time or bar interval over which it occurred to produce a comparable velocity-style reading rather than a simple magnitude.
The pivot detection mechanism itself is a fractal/symmetric extremum test, a widely used method in swing-structure analysis (related in spirit to Bill Williams' fractal indicator and to classical Dow Theory's emphasis on confirmed swing highs and lows as the building blocks of trend structure) that requires a candidate bar to dominate a defined number of bars on both sides before being accepted as a genuine local extremum. This symmetric confirmation requirement is a standard technique for filtering transient noise out of swing-point identification, at the deliberate cost of confirmation lag, a well-documented trade-off in any lookback-based extremum detection method. The Angle Momentum layer applies a simple moving average — one of the most foundational smoothing techniques in time-series analysis — to the sequence of discrete angle readings themselves rather than to price, effectively treating "swing angle" as its own derived data series and smoothing it the same way a moving average would smooth a price or oscillator series, in order to separate signal (the underlying trend in momentum) from noise (single-swing outliers).
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
TRADLEWARE-Ichimoku TK-Cross + MFI SOL
Ichimoku TK-Cross + Money Flow Index
This strategy uses the classic Ichimoku Cloud system to catch confirmed trend entries on a high-volatility altcoin, with a volume-based filter added to screen out low-conviction fakeouts.
How it works
Ichimoku Kinko Hyo ("one-glance equilibrium chart") is a trend system built from a few moving-midpoint lines. The Tenkan (short-term, plotted in blue) and Kijun (medium-term, plotted in orange) lines are each the midpoint of the highest high and lowest low over their own lookback window — similar in spirit to a moving average, but based on the range rather than the close. Two further lines, Senkou A and B, are projected forward to form the "cloud" (Kumo): a band that acts as dynamic support and resistance, shaded teal when it's bullish (Senkou A above Senkou B) and red when bearish.
On top of this, the Money Flow Index (MFI) — a volume-weighted version of RSI — checks that money is actually flowing into the asset, not just that price has moved.
Entry
A long position is opened when all three conditions are true simultaneously:
The blue Tenkan line crosses above the orange Kijun line (a bullish momentum shift)
Price is above the cloud, which should be shaded teal at this point (the broader trend is confirmed bullish)
The Money Flow Index is above 50 (volume-weighted money flow is positive, not just price drifting up on thin conviction)
The MFI filter exists specifically because this asset is prone to fakeout breakouts — moves that clear the cloud on price alone but aren't backed by real buying volume.
Exit
The position is closed when price closes back below the orange Kijun line — the "equilibrium" level the whole system is built around. An optional stop-loss (on by default) sits at the bottom of the cloud: if price loses the entire cloud — meaning it closes below whichever of the teal/red Senkou lines is lower — the broader trend structure itself has broken, not just short-term momentum.
Parameters
Tenkan length: 20
Kijun length: 60
Senkou B length: 120 (the cloud is projected forward by the Kijun length, the classic convention)
MFI length: 14
MFI minimum: 50 (stable across a 50-60 range in testing, not a fragile single value)
Stop-loss at cloud bottom: on by default, can be disabled
Label offset (ATR multiples): purely cosmetic — controls how far the BUY/SELL text labels sit from the candles so they don't overlap PulseWire's own trade markers
Start/End date range inputs let you restrict the backtest window without editing code
Position sizing is set to 99.95% of equity per trade rather than a full 100%. That small gap is deliberate: on this timeframe, sizing at exactly 100% causes PulseWire to occasionally generate tiny extra "Margin call" rows in the trade list from floating-point rounding after commission — enough of them, on this script, to noticeably distort the displayed win rate. The 0.05% gap removes those artifacts; the effect on actual results is negligible.
Costs modelled
0.1% commission per side, 3 ticks slippage, fills at next bar's open.
Intended assets and timeframe
4-hour bars. Designed and tested in Python on SOL/USDT, then validated against a live PulseWire backtest on BINANCE:SOLUSDT — entry and exit prices matched to the cent on the large majority of trades. Parameters were tuned specifically for SOL's volatility profile and are not expected to carry over unchanged to other assets.
Strategy
TRADLEWARE-Gaussian Channel + StochRSI ETH
Gaussian Channel + Stochastic RSI ETH
This strategy combines a fast Gaussian Channel with a Stochastic RSI filter and a 200-day SMA bull-market gate, aimed at catching trend continuation while sitting out confirmed downtrends.
How it works
The Gaussian Channel is a smoothed price envelope built with an IIR (infinite impulse response) filter — a mathematically elegant alternative to a simple moving average. It applies a bell-curve weighting across recent bars, producing smooth, low-lag output. The channel is formed by adding and subtracting a filtered measure of true range (volatility) around the central filter line.
The channel turns green when the filter is rising (uptrend) and red when it is falling (downtrend). A separate 200-day simple moving average acts as a bull/bear regime switch: the strategy only trades when price is above it.
Entry
A long position is opened when all five conditions are true simultaneously:
The channel is green (filter rising — uptrend confirmed)
Price closes above the upper band (breakout above the channel; an optional buffer above the band can require more room, but testing found this counterproductive — see Parameters)
Stochastic RSI %K is either above 80 (strong momentum confirming the breakout) or below 25 (oversold dip within the uptrend)
Price is above the 200-day SMA (bull regime — can be disabled)
The signal bar itself closes above its own open — a bullish candle (can be disabled)
The bullish-candle check filters out breakout bars that clear the upper band intrabar but still close weak — a common precursor to an immediate whipsaw exit on the next bar.
The 200-day SMA gate exists specifically to block breakout entries that fire during bear-market bounces — dead-cat rallies that look like trend resumption on the channel and oscillator alone but occur underneath a still-falling long-term average.
Exit
The position is closed when either:
Price closes back below the upper band (breakout has failed or the trend is cooling), or
The channel reverses from green to red (trend direction has flipped)
An optional stop-loss (on by default) is placed at the lower band and trails as the channel moves, providing a floor on losses if price drops sharply through both the upper and lower bands in the same move. The regime gate only blocks new entries — it does not force an exit on its own if price falls back below the 200-SMA mid-trade.
Parameters
Poles: 4 (filter smoothness — higher = smoother but more lag)
Sampling Period: 89 (faster channel than the baseline version, reacts sooner to trend changes)
True Range Multiplier: 1.5 (controls channel width)
Stochastic RSI overbought threshold: 80
Stochastic RSI oversold threshold: 25 (a parameter sweep found a stable plateau from 22-28; 25 sits at its center rather than its single best value)
200-SMA regime gate: on by default, can be disabled; length is adjustable
Bullish entry candle requirement: on by default, can be disabled
Entry breakout buffer: 0% (off) by default; tested at multiple levels above 0% and found to reduce returns at every level, so left disabled
Stop-loss at lower band: on by default, can be disabled
Start/End date range inputs let you restrict the backtest window without editing code
Costs modelled
0.1% commission per side, 3 ticks slippage, fills at next bar's open.
Intended assets and timeframe
Daily bars. Designed and validated on ETH/USDT. Likely applicable to other trending crypto assets; not validated on equities .
Known limitations
Underperforms in choppy or ranging markets — the upper band breakout condition generates whipsaws when price oscillates without directional conviction. The regime gate is a trade-off: it blocks bear-bounce false starts, but it also means the strategy can miss the first leg of a genuine new uptrend until price reclaims the 200-day SMA. The filter requires several hundred bars of history to fully converge; results on very short histories may differ from the validated backtest. The strategy trades infrequently (around 28 trades on the validated window), so treat any single backtest run as a small sample rather than a statistically strong result.
Credit
The Gaussian Channel filter is from the open-source "Gaussian Channel (DW)" indicator by DonovanWall. This script reuses that filter and adds the Stochastic RSI entry filter, the 200-day SMA regime gate, exit rules, stop-loss, and full strategy order management on top of it.
Strategy
Bollinger-Fibonacci Trend Extension [MarkitTick]💡 This tool automates the identification of three-point corrective price structures (A-B-C swings) and projects a suite of Fibonacci-based extension targets from them, filtered through a Bollinger Band mean-reversion confirmation layer and an optional trend-strength gate. Rather than requiring a trader to manually draw retracement/extension tools every time price forms a pullback, the script continuously scans pivot structure in real time, validates the geometry of each swing against strict corrective-wave rules, and projects a set of forward-looking price zones — including a shaded "Golden Zone" between the 1.5 and 1.618 extensions — the moment a qualifying structure is confirmed.
✨ Originality and Utility
Fibonacci extension tools are common on PulseWire, but most require manual anchor placement on every swing and provide no objective criteria for which swings are valid setups. This script closes that gap by fully automating structure detection: it runs a custom zigzag engine with a significance threshold (ATR-based or percentage-based) to filter noise, then validates any three consecutive pivots against explicit corrective-structure rules (alternating high/low sequence, with the C-point required to retrace between the A and B extremes) before it will draw anything.
Two independent confirmation layers are stacked on top of raw structure detection: a Bollinger Band basis-cross filter that requires price to be trading on the correct side of its short-term mean before a new structure is accepted, and an optional ADX/DMI filter that suppresses structures formed during low directional-strength conditions. A configurable "adaptive filter" further lets traders pre-smooth the high/low series feeding the pivot engine using one of eight smoothing methods — including a Kalman filter and an LLAMA (linear-regression-slope-adjusted moving average) implementation — before pivots are ever detected, changing the sensitivity and lag characteristics of what counts as a swing point. The combination of automated, rule-based structure validation, dual confirmation filters, and selectable pre-smoothing is what differentiates this from a static or manually-drawn extension tool.
🔬 Methodology and Concepts
• Adaptive Pivot Detection
The script identifies swing highs and lows using a symmetric lookback/lookforward window (the "Pivot Lookback Depth" input): a bar qualifies as a pivot high only if no other bar within that window on either side has a higher value, and analogously for pivot lows. Traders can choose to feed this detection engine either raw high/low price or a smoothed version of it via the Adaptive Filter setting. Available smoothing methods include standard SMA, EMA, and RMA; a Double WMA (a WMA applied twice in succession, sharpening lag reduction); a Triple VWMA (volume-weighted MA applied three times); HMA (Hull Moving Average); LLAMA, a custom method that adds a linear slope projection (calculated from the change in price over the lookback window) on top of a simple average; and a lightweight Kalman filter that recursively updates a state estimate based on a fixed process/measurement noise ratio. Smoothing the pivot source changes which swings register as significant, effectively tuning the sensitivity of the whole structure-detection pipeline.
• Significance Threshold
Not every alternating high/low pair is kept — a new pivot only replaces the prior point of the same type, or is added as a new leg, if it clears a minimum distance threshold from the last opposite-type point. This threshold can be set as a multiple of ATR (Average True Range, over a configurable period) or as a fixed percentage of the current close, letting the sensitivity of the zigzag scale with volatility or stay fixed in percentage terms.
• A-B-C Structure Validation
Once at least three qualifying zigzag points exist, the script inspects the most recent three (A, B, C) to determine whether they form a valid corrective structure. A bullish setup requires the sequence low → high → low (A is a low, B a high, C a low), with the additional geometric constraint that point C must close above point A but below point B — meaning the pullback from B did not fully retrace into new lows and did not exceed the origin of the move. The bearish case is the mirror image (high → low → high, with C bounded between A and B). Structures that don't satisfy these geometric constraints are rejected outright; the script will not draw a structure from just any three consecutive swings.
• Bollinger Band Confirmation Filter
When enabled, a newly detected A-B-C structure is only accepted if the prior confirmed close is positioned correctly relative to the Bollinger Band basis (an SMA of price, with upper/lower bands built from standard deviation multiples): bullish structures require the close to be above the basis, bearish structures require it to be below. This filters out structures forming against the prevailing short-term mean, reducing the incidence of countertrend triggers.
• ADX/DMI Trend-Strength Filter (optional)
When the ADX filter is enabled, new structures are only confirmed if the ADX value (calculated from the Directional Movement Index over a configurable length) meets or exceeds a user-defined threshold. This is intended to suppress structure formation during ranging, low-momentum conditions where corrective patterns are statistically less reliable.
• Fibonacci Extension Projection
Once a structure is confirmed, the script projects forward price targets from the A-B-C swing using the standard extension formula: target = C + ((B − A) × ratio). An optional logarithmic-scale calculation is available, which performs the equivalent projection in log-price space before converting back — useful on instruments or timeframes where percentage moves are more meaningful than absolute point moves. Selectable extension ratios include 0.618, 1.000, 1.272, and 1.618, each independently toggleable, plus a fixed internal 1.5 ratio used only to bound the shaded "Golden Zone." Each level is optionally annotated with a loose Elliott Wave association label (e.g., the 1.618 level is labeled "Wave 3") purely as a descriptive reference point for traders familiar with that framework — the script does not perform full Elliott Wave counting or degree analysis.
• Structure Invalidation
Active structures are continuously monitored: a bullish structure is invalidated if the close trades back below point A, and a bearish structure is invalidated if the close trades back above point A. This uses the point-A extreme as a structural stop level, consistent with the idea that a valid corrective pattern should not be revisited past its origin. On invalidation, the trader can choose to have the structure's drawings grayed out in place (to preserve chart history) or fully deleted.
🎨 Visual Guide
Gold and blue lines plotted directly on price represent the Bollinger Bands: the basis (gold, an SMA of price) and the upper/lower bands (blue, basis ± a standard-deviation multiple). These can be hidden independently of the confirmation filter itself.
Solid colored lines connect point A to point B, and dashed colored lines connect point B to point C, forming the visual "A-B-C" skeleton of each detected structure. Color reflects direction: the Bullish Structure Color for up-setups and the Bearish Structure Color for down-setups (both user-configurable, default green/red).
Small labeled tags marked "A," "B," and "C" are placed at each swing point, color-matched to the structure's direction, with their vertical orientation (label above or below price) automatically flipped depending on whether the point is a high or a low.
Dotted horizontal lines extending from point C represent each active Fibonacci extension level (0.618, 1.000, 1.272, 1.618, as enabled). The 1.618 level is rendered as a solid line rather than dotted, distinguishing it as the primary extension target. Each line carries a right-aligned label showing the ratio, its optional Elliott Wave tag, and the exact price level.
A shaded rectangular zone between the 1.5 and 1.618 extension levels — tinted in the structure's directional color — marks the "Golden Zone," a commonly-referenced confluence area for potential reversals or profit-taking, with a "Golden Zone" text label at its midpoint.
When a structure is invalidated and the "Gray Out" invalidation action is selected, all of the above elements (lines, labels, the zone fill) desaturate to the Invalidated Structure Color, visually distinguishing historical, no-longer-valid structures from the currently active one without removing them from the chart.
An on-chart dashboard (top-right by default, repositionable) displays: the current symbol and timeframe, an overall directional Bias read from the most recent structure, the current ATR value, the active significance threshold in price terms, a visual bar-gauge showing how many structures are currently tracked relative to the configured maximum, the pass/block state of the Bollinger Band filter, the live ADX reading and pass/fail state, the selected Adaptive Filter method, and a log of the last structural event (new bullish/bearish structure, or bullish/bearish invalidation).
📖 How to Use
Wait for a complete A-B-C structure to be drawn and confirmed — the script only finalizes structures on confirmed bar closes, so no signal will repaint intrabar.
A newly confirmed bullish structure (green by default) suggests the recent pullback (B to C) may extend toward the plotted Fibonacci levels; the 1.618 extension and the shaded Golden Zone are commonly treated as primary target/reaction areas.
A newly confirmed bearish structure works symmetrically to the downside.
Point A acts as the structural invalidation level: if price closes back through point A against the direction of the setup, treat the structure as void — the script will automatically flag this via graying-out or deletion, along with a dashboard "Last Event" update and an optional alert.
Use the Bollinger Band filter to avoid structures forming against the short-term mean, and the ADX filter to avoid trading corrective setups during flat, low-momentum conditions.
The dashboard's Bias, Threshold, and filter-status rows are designed to be checked at a glance before acting on any newly drawn structure.
Built-in alerts are available for new bullish/bearish structures and for bullish/bearish invalidations, each firing a JSON-formatted payload (ticker, timeframe, direction, entry, TP, SL) suitable for direct use with webhook-based automation, with the action keywords for each alert type fully customizable in the Alerts group.
⚙️ Inputs and Settings
Pivot Lookback Depth — the number of bars checked on each side of a candidate bar when detecting swing highs/lows. Larger values produce fewer, more significant pivots and slower reaction time; smaller values increase sensitivity and structure frequency.
Use ATR-Based Threshold / ATR Period / ATR Multiplier — when enabled, the minimum move required to register a new zigzag leg scales with recent volatility (ATR × multiplier) rather than a fixed percentage.
Fixed Deviation % — used instead of the ATR threshold when ATR-based thresholding is disabled; sets the minimum percentage move required between opposite-type pivots.
Enable Structure Invalidation — toggles whether structures are automatically invalidated when price closes back through point A.
Keep Last N Structures — caps how many structures remain tracked/drawn simultaneously; older structures are cleaned up once the cap is exceeded.
Enable BB Confirmation Filter / BB Length / BB StdDev Mult — controls the Bollinger Band basis-cross requirement for new structures, and the parameters of the underlying Bollinger Band calculation.
Use ADX Filter / ADX Threshold / ADX Length — controls the optional trend-strength gate and its calculation parameters.
Adaptive Filter / Adaptive Filter Length — selects the smoothing method (if any) applied to the high/low series before pivot detection, and its lookback length.
Invalidation Action — choose whether invalidated structures are grayed out in place or deleted from the chart.
Show Bollinger Bands / Use Logarithmic Scale — visual toggle for the BB plots, and whether extension targets are computed in log-price space.
Show 0.618 / 1.000 / 1.272 / 1.618 Level — independently toggle each Fibonacci extension line.
Extend Lines Right — extends extension lines indefinitely to the right instead of stopping at the current bar.
Show A-B-C Labels / Show Structure Lines / Show Elliott Wave Labels — independent visibility toggles for each drawing category.
Show Dashboard / Position — toggles the on-chart dashboard table and sets its screen corner.
Alert action fields (Open Long/Short, Close Long/Short) — customizable text keywords embedded in the JSON alert payloads, matching the syntax expected by the trader's automation/webhook setup.
Enable Test Alert — fires a payload on every confirmed bar close, intended only for verifying webhook routing before disabling it.
Color inputs — full control over structure colors, label backgrounds, invalidated-structure color, Bollinger Band plot colors, and dashboard styling.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The script's structural core rests on the concept of a zigzag transformation, a standard technique in technical analysis for reducing noisy price series into a simplified sequence of significant turning points, filtered here by a volatility-normalized (ATR-scaled) or percentage-based significance threshold rather than a fixed tick count — a design choice that keeps the sensitivity of the transformation consistent across instruments and volatility regimes.
The A-B-C labeling convention and the specific extension ratios offered (0.618, 1.000, 1.272, 1.618) draw on the Fibonacci sequence and its derived ratios, which have a long history of application in corrective-wave analysis, most notably within Elliott Wave Theory and W.D. Gann's work on proportional price projections. The mathematical basis is the golden ratio (φ ≈ 1.618) and its reciprocal/power relationships, which recur in the ratios above; their use in this script is descriptive and pattern-based rather than derived from any claim of causal market structure — the script projects targets from these ratios but does not assert that price is mechanically obligated to reach them.
The optional Bollinger Band filter is grounded in the standard statistical definition of a Bollinger Band: a moving-average basis with bands set at a multiple of the rolling standard deviation, functioning here as a simple mean-reversion/trend-context gate rather than a full volatility-breakout system.
The ADX/DMI filter derives from Welles Wilder's Directional Movement System, which measures trend strength independently of trend direction by comparing the magnitude of directional price movement to overall volatility (true range) over a smoothing period; using it as a pre-condition for structure confirmation is consistent with its original design purpose of distinguishing trending from non-trending regimes.
The adaptive smoothing options span several distinct estimation philosophies: SMA/EMA/RMA represent classical fixed- and exponentially-weighted moving averages; the Double WMA and Triple VWMA apply cascaded weighted/volume-weighted averaging to reduce lag at the cost of some smoothness; HMA (Hull Moving Average) is a weighted-average construction specifically designed to reduce lag while preserving smoothness; the Kalman filter implementation applies a simplified recursive Bayesian estimation approach (balancing a process-noise and measurement-noise ratio to continuously re-weight new observations against the prior estimate), a technique originally developed for state estimation in control systems and adapted here for price smoothing; and the LLAMA method combines a simple average with a linear slope term derived from the net change in price over the lookback window, a basic linear-regression-style adjustment for trend drift.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
TRADLEWARE-Gaussian Channel + StochRSI BTC
TRADLEWARE - Gaussian Channel + Stochastic RSI
This strategy combines a Gaussian Channel with a Stochastic RSI filter to capture momentum continuation in trending markets on the daily timeframe.
How it works
The Gaussian Channel is a smoothed price envelope built with an IIR (infinite impulse response) filter — a mathematically elegant alternative to a simple moving average. Instead of weighting recent bars linearly, the Gaussian filter applies a bell-curve weighting that produces very smooth, low-lag output. The channel is formed by adding and subtracting a filtered measure of true range (volatility) around the central filter line.
The channel turns green when the filter is rising (uptrend) and red when it is falling (downtrend).
Entry
A long position is opened when all three conditions are true simultaneously:
The channel is green (filter rising — uptrend confirmed)
Price closes above the upper band (breakout above the channel)
Stochastic RSI %K is either above 80 (strong momentum confirming the breakout) or below 15 (oversold dip within the uptrend)
The dual Stochastic RSI threshold captures two different entry scenarios: a momentum breakout and a pullback-and-recover within an ongoing trend.
Exit
The position is closed when either:
Price closes back below the upper band (breakout has failed or the trend is cooling), or
The channel reverses from green to red (trend direction has flipped)
An optional stop-loss (on by default) is placed at the lower band and trails as the channel moves, providing a floor on losses if price drops sharply through both the upper and lower bands in the same move.
Parameters
Poles: 4 (filter smoothness — higher = smoother but more lag)
Sampling Period: 144 (slow channel, suited to daily trends)
True Range Multiplier: 1.414 (controls channel width)
Stochastic RSI overbought threshold: 80
Stochastic RSI oversold threshold: 15
Stop-loss at lower band: on by default, can be disabled
Start/End date range inputs let you restrict the backtest window without editing code
Costs modelled
0.1% commission per side, 3 ticks slippage, fills at next bar's open.
Intended assets and timeframe
Daily bars. Designed and validated on BTC/USDT. Likely applicable to other trending crypto assets; not validated on equities .
Known limitations
Underperforms in choppy or ranging markets — the upper band breakout condition generates whipsaws when price oscillates without directional conviction. The filter requires several hundred bars of history to fully converge; results on very short histories may differ from the validated backtest. The strategy trades infrequently (around 30 trades from 2018 to present on BTC/USDT), so treat any single backtest run as a small sample rather than a statistically strong result.
Credit
The Gaussian Channel filter is from the open-source "Gaussian Channel (DW)" indicator by DonovanWall. This script reuses that filter and adds the Stochastic RSI entry filter, exit rules, stop-loss, and full strategy order management on top of it.
Strategy
Indicator
Smart Trend Filter Confirmation [MarkitTick]💡 A confirmed-bar trend-following system that fuses a volatility-adaptive trailing band with a six-condition consensus filter, designed to suppress the false flips that plague standard trend-following tools when markets stall, chop, or thin out. Rather than reacting to every band cross, the script cross-examines each potential signal against stall detection, slope strength, volume participation, range compression, basis-point movement, and trend strength (ADX) before allowing a flip to display — while retaining a breakout override so genuinely explosive moves are never suppressed by the very filters designed to catch noise.
✨ Originality and Utility
Trailing-band trend systems (Chandelier-style or SuperTrend-style constructs) are common on PulseWire, but nearly all of them share the same weakness: the trailing line flips direction on every price crossover, regardless of whether that crossover reflects a genuine change in market character or simply noise generated during a stalled, illiquid, or compressing market. This script's originality lies in the "Regime Consensus" layer built on top of the adaptive trailing band. Six independent, mathematically distinct filters — measuring band stall, linear-regression slope, relative volume, historical range percentile, basis-point velocity, and ADX-based trend strength — are computed every bar. If any single filter flags a "flat" regime, the display direction is held at its last confirmed state instead of flipping, which materially reduces whipsaw signals in ranging conditions. A dedicated breakout override simultaneously monitors for abnormally large single-bar moves (measured in ATR multiples) and forces the flip through regardless of filter status, ensuring the system does not become sluggish during genuine volatility expansion. This combination — adaptive smoothing of the source price, a volatility- and momentum-weighted dynamic band, a multi-factor flat-market veto, and a breakout bypass — is not a simple mashup of stock indicators but an integrated decision layer where each component directly informs whether the others are permitted to act. The trend line, filters, override, and dashboard are not separable add-ons; they operate as a single signal-gating pipeline.
🔬 Methodology and Concepts
● Adaptive Source Smoothing
Before any band math is applied, the script conditions the underlying HL2-style source price using one of two selectable adaptive filters:
Kalman Filter — a recursive estimator that maintains an internal "belief" about the true price and a corresponding uncertainty (error covariance). Each new bar, the filter computes a gain factor from the ratio of predicted uncertainty to total uncertainty (predicted plus measurement noise, set by the Kalman R input) and blends the new price observation into its estimate proportionally. A higher Kalman Q input allows the estimate to adapt faster to new prices; a higher Kalman R input makes the filter trust new observations less, producing a smoother but slower-reacting line.
LLAMA (an adaptive-length moving average inspired by Kaufman's Efficiency Ratio concept) — measures how efficiently price has moved over the lookback window by comparing net directional change to the sum of all bar-to-bar movement (an efficiency ratio between 0 and 1). This ratio is squared into a smoothing constant that continuously shifts the moving average's responsiveness between a fast EMA-like constant and a slow EMA-like constant, so the average tightens to price during clean directional runs and widens during choppy conditions.
• Dynamic Volatility Band
The core trailing band's half-width is not a fixed ATR multiple. It is calculated from three weighted components: a base multiplier, an ATR-based term scaled by the ATR Weight input, and a normalized recent-price-movement term (capped at its own 95th percentile to prevent single outlier bars from distorting the band) scaled by the Move Weight input. This composite value is then multiplied by the current ATR and smoothed with an exponential moving average (controlled by the Smooth Len input) to prevent the band width itself from jumping erratically bar to bar.
• Trailing Trend Line Construction
The trend line follows classic chandelier-style trailing logic: while price remains above the trend line, the line can only ratchet upward (never retreating below its prior value even if the lower band momentarily dips beneath it); while price remains below the trend line, the line can only ratchet downward. A flip only occurs when confirmed prior-bar closing price crosses to the opposite side of the line.
• Six-Factor Regime Consensus Filter
Before a directional flip is permitted to display, up to six independent conditions are checked. If any active filter flags the market as "flat," the displayed direction holds at its previous confirmed state rather than flipping:
Stall Filter — flags when the trend line's bar-to-bar movement is smaller than a fraction (Flatness input) of current ATR, indicating the line itself has gone quiet.
Slope Filter — runs a short linear regression across recent trend-line values, measures the resulting slope, normalizes it against ATR, and flags when that normalized slope falls below the Slope Thr input.
Volume Filter — flags when confirmed volume falls at or below its own moving average, treating below-average participation as unreliable for a fresh directional call.
Range Filter — flags when the current bar's high-low range falls within the lower percentile band (Range Pct input) of its historical distribution over the Pctile Len lookback, identifying range compression.
BPS Filter — converts the trend line's bar-to-bar movement into basis points relative to price and flags when that figure falls under the Min BPS input, catching moves too small to be economically meaningful.
ADX Filter — computes a standard Directional Movement Index reading and flags when it sits below the ADX Thr input, indicating weak underlying trend strength.
• Breakout Override
Running in parallel to the consensus filters, this component measures the absolute prior-bar price change against a multiple of ATR (Ovr ATR Mult input). If that threshold is exceeded, the override forces the flip through immediately, bypassing every flat-market filter above. This prevents the filter layer from muting the system's response to genuine volatility expansion or breakout conditions.
🎨 Visual Guide
Trend Line — a stepped line plotted along the confirmed trailing band value. It renders in the Bull color when the confirmed direction is up and the Bear color when down; both colors are fully customizable in the Colors group.
Gradient Candles / Bar Coloring — when enabled, chart candles and bars are recolored on a gradient between the Neutral color and the active directional color, with gradient intensity scaled by how far confirmed price has extended from the trend line relative to ATR (capped at 3x ATR for full saturation). A muted candle indicates price sitting close to the trend line; a fully saturated candle indicates an extended move.
Cloud Fill — a semi-transparent fill (opacity set by Cloud Transp) rendered between the trend line and a short moving average of HLC3 (length set by Cloud MA Len), tinted in the active directional color to visually reinforce which side of the trend the market currently occupies.
Bull / Bear Signal Labels — a "Bull" label appears below price the bar a confirmed flip to the up-regime occurs, and a "Bear" label above price on a confirmed flip to the down-regime, provided the Regime Consensus Filter did not veto the flip and Lock Signal is not engaged.
Trade Level Lines and Labels (optional, enabled via Show Trade Levels) — on each new confirmed signal, five lines are drawn forward from the signal bar: an Entry line (at prior confirmed close), a Stop Loss line, and three Take Profit lines (TP1, TP2, TP3), each offset from entry by ATR multiples set in the Trade Tools group. A shaded risk zone connects Entry to Stop Loss, and a shaded reward zone connects Entry to the furthest take-profit line. Each line carries a right-aligned label showing its exact price.
Live Dashboard (optional, position configurable via Dash X / Dash Y) — a compact table summarizing current symbol/timeframe, signal lock state, active direction, current signal status, regime classification (Flat/Trending), breakout override status, active adaptive filter type, current trend-line and ATR values, a visual progress bar for trend strength, and individual on/off/flat status readouts for each of the six regime filters.
Non-Standard Chart Warning — a red-bordered table automatically appears in the top-left corner if the script detects it is being run on a Heikin Ashi, Renko, Line Break, Kagi, or Point & Figure chart, warning that signal reliability is compromised on synthetic chart types.
📖 How to Use
A "Bull" label with the trend line switching to the Bull color signals a confirmed transition to an up-regime that has passed all active consensus filters (or was pushed through by the breakout override).
A "Bear" label with the trend line switching to the Bear color signals the equivalent confirmed down-regime transition.
Because flips are gated by the consensus filter, the absence of a new signal during a period of price consolidation is intentional — the script is treating the move as noise rather than a lack of function. Check the dashboard's individual filter rows to see exactly which condition(s) are currently classifying the market as flat.
The dashboard's "Override" row shows "Engaged" when the Breakout Override has just bypassed the filters — useful for distinguishing a filter-confirmed signal from a volatility-forced one.
When Show Trade Levels is active, treat the Entry/SL/TP lines as a reference risk framework tied to current ATR, not a guaranteed execution plan; always verify levels make sense for the instrument and timeframe before acting on them.
Enable Lock Signal to freeze the current signal state on the most recent bar, useful when reviewing historical signal behavior without new signals interrupting the current view.
If the Non-Standard Chart warning appears, switch to a standard candlestick chart type before relying on any signal from this script.
⚙️ Inputs and Settings
ATR Len — lookback period for the underlying ATR calculation that drives band width and multiple filter thresholds. Shorter values make the band more reactive to recent volatility; longer values smooth it out.
Band Mult, ATR Weight, Move Weight — the three components that combine into the dynamic band multiplier. Band Mult sets a base width, ATR Weight scales the contribution of current ATR relative to price, and Move Weight scales the contribution of recent capped price movement.
Smooth Len — the EMA length applied to the calculated band half-width, controlling how quickly the band itself can widen or narrow.
Adaptive Filter / Filter Type — toggles and selects between Kalman and LLAMA smoothing of the source price feeding the trend line.
Kalman Q / Kalman R — process noise and measurement noise inputs for the Kalman filter; higher Q increases responsiveness, higher R increases smoothing.
LLAMA Len — lookback window for the efficiency-ratio calculation driving the LLAMA adaptive average.
Stall Filter / Flatness — enables the stall check and sets the ATR-relative threshold below which trend-line movement is considered stalled.
Slope Filter / Reg Len / Slope Thr — enables the regression-slope check, sets its lookback window, and sets the normalized slope threshold below which the market is considered flat.
Volume Filter / Vol MA Len — enables the volume check and sets the moving-average length volume is compared against.
Range Filter / Pctile Len / Range Pct — enables the range-compression check and sets the historical lookback and percentile threshold used to classify current range as compressed.
BPS Filter / Min BPS — enables the basis-point movement check and sets the minimum basis-point threshold for a trend-line move to be considered meaningful.
ADX Filter / ADX Len / ADX Thr — enables the ADX-based trend-strength check and sets its calculation length and minimum threshold.
Breakout Ovr / Ovr ATR Mult — enables the override and sets the ATR multiple of single-bar price change required to force a flip through the filters.
Show Trade Levels / SL, TP1, TP2, TP3 ATR Mult — enables the trade-level drawing tool and sets each level's distance from entry as a multiple of ATR.
Bar Coloring, Bull/Bear Marks, Cloud Fill, Cloud MA Len, Cloud Transp — visual toggles and parameters controlling gradient candles, signal labels, and the cloud fill between trend line and reference average.
Show Dash, Dash X, Dash Y — toggles the dashboard and sets its screen position.
Long/Short/Close Action inputs — customizable text strings inserted into the "action" field of each alert's JSON payload, for direct use with automated webhook execution systems.
Colors group — full color customization for bull/bear/neutral states, label text, warning banner, dashboard theme, gradient candle tiers, and trade-level line colors.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The trailing-band mechanism draws on the same volatility-normalized stop methodology popularized by Chandelier Exit-style systems, which themselves extend J. Welles Wilder's Average True Range concept into an adaptive trailing stop: rather than a fixed price distance, the stop distance breathes with recently realized volatility, tightening in calm markets and widening in turbulent ones.
The Kalman filter option applies a classical state-space estimation technique originally developed for aerospace tracking problems (Rudolf Kálmán, 1960). It treats the "true" price trend as an unobserved state to be estimated from noisy observations, recursively updating a prediction and its uncertainty at each time step and weighting new information by a gain term derived from the relative magnitude of prediction versus measurement uncertainty. Applied to price series, it produces a smoothed estimate that adapts its own responsiveness based on the ongoing balance of signal versus noise.
The LLAMA adaptive average is built on an efficiency-ratio concept in the lineage of Perry Kaufman's Adaptive Moving Average research: the ratio of net directional displacement to total path length over a window quantifies how "efficiently" price has trended, and this ratio is used to interpolate the smoothing constant between fast and slow exponential-average bounds. Markets that trend efficiently receive a fast, responsive average; markets that chop inefficiently receive a slow, heavily smoothed one.
The Slope Filter applies ordinary least squares (OLS) linear regression across a short trend-line window to extract a first-derivative estimate (slope) of the trend line's trajectory, normalizing it by ATR so the threshold behaves consistently across instruments and volatility regimes of different scale.
The ADX Filter is grounded in Wilder's Directional Movement System, which decomposes price movement into positive and negative directional components and derives a smoothed trend-strength oscillator independent of direction — a standard framework for distinguishing trending from ranging conditions.
The Range Filter's use of percentile-rank classification reflects a basic non-parametric statistical approach: rather than assuming a normal distribution of high-low ranges, it empirically ranks the current range against its own recent historical distribution, which is more robust to the fat-tailed, non-normal behavior typically observed in financial return and range series.
Collectively, the six-factor consensus mechanism reflects a general principle from ensemble/multi-condition filtering: requiring independent, structurally uncorrelated confirmations to agree (or, here, requiring none to actively veto) before acting on a signal tends to reduce the false-positive rate relative to any single condition acting alone, at the cost of some responsiveness — a classic precision/recall tradeoff which the Breakout Override is specifically designed to mitigate during high-volatility regimes.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
VWAP Reversal Probability Signals🟠 OVERVIEW
VWAP Reversal Probability Signals tracks price movements around an anchored VWAP and two volume-weighted standard deviation bands. It looks for price excursions outside these bands and waits for price to move back through the same band before marking a potential reversal.
Each reversal signal is paired with a fixed VWAP target. The script records whether price reaches that target within a user-defined number of bars and displays the historical success rate for each band independently. This allows traders to compare how different reversal distances have performed over time instead of treating every signal the same.
🟠 CONCEPTS
Anchored VWAP — A volume-weighted average price that resets at the selected session, week, month, quarter, or year and acts as the central reference level.
VWAP Deviation Bands — Upper and lower bands created from volume-weighted standard deviation multiples around the anchored VWAP to define progressively larger price extensions.
Reversal Signal — Generated when price first extends beyond a deviation band and then closes back through that same band, indicating that the extreme move has started to reverse.
VWAP Target — Every signal uses the current anchored VWAP as its fixed target, allowing completed signals to be measured using the same destination.
Reversal Probability — The historical percentage of completed signals from each individual band that reached the VWAP target before the expiry period.
🟠 FEATURES
Anchored VWAP and Reversal Bands — Displays the anchored VWAP together with two configurable upper and lower deviation bands.
Reversal Signal Markers — Shows bullish and bearish reversal signals after price returns back
through the selected deviation band.
Historical Probability Labels — Displays the historical VWAP target hit rate beside each new reversal signal for the corresponding band.
VWAP Target Lines — Draws a projected target from every signal to the current VWAP until the trade either succeeds or expires.
Target Confirmation Marks — Places a confirmation mark when a tracked signal reaches its VWAP target within the selected expiry window.
🟠 HOW TO USE
Choose the VWAP anchor period that matches your trading style, such as session, week, or month.
Watch for price to extend beyond a VWAP deviation band and then move back through that same band before considering a reversal signal.
Compare the probability label shown with the signal to understand how that band has performed historically.
Use the dashed VWAP target line as the expected mean reversion objective for the active signal.
Treat the displayed probability as historical context rather than a prediction of future performance.
🟠 CONCLUSION
VWAP Reversal Probability Signals combines an anchored VWAP, volume-weighted deviation bands, reversal signals, and historical outcome tracking. By measuring how often each type of reversal has returned to the VWAP, it provides both reversal locations and statistical context for those signals. Indicator
Adaptive SuperTrend AI - Regime-Tuned [Dots3Red]📈 ADAPTIVE SUPERTREND AI — REGIME-TUNED
Classic SuperTrend uses one fixed ATR multiplier forever. That single number is a compromise: tight enough to track trends closely, it whipsaws during ranges; wide enough to survive ranges, it lags badly once a real trend starts. This script replaces the fixed multiplier with one that changes based on what kind of market is actually happening, using the same regime-detection engine shared across the Dots3Red catalog.
🧠 THE REGIME ENGINE
Every bar is classified into one of four states using ADX and the Choppiness Index together:
• 📈 TRENDING — ADX confirms directional strength and Choppiness confirms low chop
• 🔁 RANGING — the opposite: weak directional strength, high chop
• ⚡ VOLATILE — current ATR has expanded well beyond its baseline, regardless of direction or chop
• ❔ UNCERTAIN — none of the above conditions are clearly met
The raw regime reading is smoothed by taking the most frequent classification over a short lookback window, so a single noisy bar can't flip the regime label back and forth.
🤔 WHY RANGING GETS THE WIDEST BAND, NOT TRENDING
This is the part that looks backwards at first glance, so it's worth explaining directly. A ranging market chops back and forth around a mean — if the band were narrow here, ordinary noise would cross it constantly, causing false flips. So RANGING gets the widest multiplier (default 3.5×), letting normal chop stay inside the band. A TRENDING market is moving with genuine conviction, so a moderate multiplier (default 2.5×) tracks the move closely without giving back excessive profit before flipping on an actual reversal. VOLATILE conditions get the widest multiplier of all (default 4.5×) as a purely defensive setting, since sudden expansion is unpredictable by nature.
When the regime changes, the active multiplier doesn't jump to its new value instantly — it glides toward it over a configurable number of bars. This prevents the band from visibly teleporting on a regime transition, which would otherwise look jarring and could itself trigger a false flip right at the transition point.
The underlying band mechanics — the ratcheting upper/lower band logic, and a flip only when price closes beyond the active band — are the same as classic SuperTrend. Only the multiplier driving the band width is dynamic.
✅ THE CONFIDENCE LAYER
A SuperTrend flip is a single binary event: price crossed the band, direction changed. This script adds a secondary read on how convincing that flip actually is, using 8 independent checks against the new direction:
1. Close vs. a trend moving average
2. MACD histogram sign
3. Recent higher-high / lower-low structure
4. Close vs. the SuperTrend's own midline (hl2)
5. RSI side of 50
6. +DI vs. -DI dominance
7. Volume above its moving average on a trend-direction bar
8. Whether the regime is currently TRENDING
Every confirmed flip shows this count directly on its label — "▲ 6/8" means 6 of the 8 checks currently agree with the new uptrend. A flip with 7/8 agreement and one with 3/8 are treated identically by the raw band mechanics, but this layer gives a way to distinguish a well-supported flip from a marginal one at a glance.
🎯 FLIP WIN-RATE TRACKING
Each flip is graded once the following flip occurs: did price actually finish above the flip price (for an up-flip) or below it (for a down-flip) by the time direction changed again? This produces a running win rate — for example "58% (n=34)" — shown in the dashboard. It is a simple, honest measure of how the flips on this specific chart have actually played out, not a backtest or a promise about future flips.
🔒 NON-REPAINTING
Flips, confidence readings, and labels are all evaluated only on confirmed (closed) bars. A flip that appears on the chart will not later disappear or move to a different bar as new price data arrives.
🎨 VISUALS AND CUSTOMIZATION
The SuperTrend line and gradient fill are colored by current direction. Flip labels appear directly on confirmed flip bars with their confidence count. An optional background tint can shade the chart by current regime. All four core colors (bullish, bearish, volatile/warning, and uncertain/neutral) are fully customizable in settings, independent of the script's default palette.
The dashboard (position configurable) shows: current direction, current regime, the active ATR multiplier, the confidence count with a progress bar, the running flip win rate, and the raw ADX, Choppiness, and ATR ratio readings behind the regime classification.
🧭 HOW TO USE
👀 Reading the line and fill — the colored line and gradient fill show current direction at a glance. This is the same information classic SuperTrend gives you; the difference here is in how the band width behind that line was chosen.
🧠 Check the regime before trusting the band width — the dashboard's Regime row tells you why the band is currently as wide (or narrow) as it is. A band that looks unusually wide isn't a bug — it likely means the engine has classified the market as RANGING or VOLATILE and widened defensively. Knowing the current regime helps set expectations for how the band will behave if conditions stay the same.
✅ Use the confidence count to gauge flip quality, not to filter flips — every flip is real and non-repainting regardless of its confidence count. The count is a lens for judging how broadly supported a given flip is, not a gate that decides whether one occurs. A "▲ 7/8" flip and a "▲ 3/8" flip both mean the band was crossed; the number tells you how much independent agreement existed at that moment, which is useful context when deciding how much weight to put on that particular signal versus your own analysis.
🎯 Watch the flip win rate as a running self-check on this chart — because it only starts once flips have accumulated and been graded, treat an early or low-sample win rate as inconclusive rather than a verdict. It becomes more informative the longer the script runs on a given symbol and timeframe.
🔔 Regime changes are themselves informative — the alert for a regime change fires independently of any flip. A shift from RANGING to TRENDING, for example, can be useful context on its own, since it signals the band is about to glide toward a different multiplier even before any flip occurs.
🚫 This script describes band behavior, not entries or exits — it does not tell you when to open or close a position. Use it as one input alongside price action, structure, and whatever other analysis you already rely on.
⚙️ SETTINGS
📈 SuperTrend Core
• ATR Length
• Factor — Trending / Ranging / Volatile / Uncertain — the four regime-driven multipliers
• Factor Transition (bars) — how gradually the multiplier glides between regimes
🧠 Regime Engine
• ADX Length, Choppiness Length, ATR Baseline Period
• Trending / Ranging Thresholds — where the combined ADX+Choppiness score is classified
• Volatile ATR Multiple — how far above baseline ATR counts as volatility expansion
• Regime Smoothing — lookback window for the majority-vote smoothing
✅ Confidence Layer
• Trend MA Length, RSI Length, Structure Lookback — parameters for the 8 confidence checks
🎨 Visualization
• Gradient Fill, Flip Labels, Regime Background Tint — each toggleable independently
• Full color customization for all four regime/direction colors
🖥️ Dashboard
• Show/hide, position
📝 NOTES
The regime engine needs a short warm-up period before its smoothing window is fully populated; early bars on a fresh chart may show less stable regime labels than bars further along. The flip win rate starts empty and only becomes meaningful after several flips have occurred and been graded.
⚠️ DISCLAIMER
This is an analytical and visualization tool. It does not generate trade signals and does not constitute financial advice. Historical flip win rate does not guarantee future performance. Indicator
Regression Trend [MiesOnCharts]Regression Trend - Mies
What it does
This indicator fits a linear regression line to price over a rolling window and draws a corridor around it based on the statistical error of that fit. The corridor is what decides the trend state. As long as price stays inside it, nothing changes. When price closes outside one side, the whole thing flips color and a triangle marks the bar.
The result is a trend line that carries its own tolerance band with it, so you can see at a glance both where the fitted trend sits and how much room price has before the state changes.
How it works
A least squares regression is fitted across the lookback window. That gives the center line.
Around it, the script computes the standard error of the estimate, which is the typical distance between actual price and the fitted line. It comes from the correlation between price and time:
r is the correlation of the source with bar index over the window
residual variance is the price variance scaled by (1 - r²)
the standard error is the square root of that, adjusted for the degrees of freedom of the fit.
This is the part that makes the corridor behave differently from a standard deviation band. The width responds to how well price is actually tracking the trend, not just to raw volatility. A strong, clean trend produces a high correlation, small residuals, and a narrow corridor, so the indicator stays sensitive.
Choppy price that wanders around the line produces a weak fit, a wide corridor, and a much higher bar for triggering a state change. The indicator effectively demands more evidence in exactly the conditions where evidence is thin.
The bands sit at the center line plus and minus a multiple of that standard error. A close above the upper band turns the state bullish, a close below the lower band turns it bearish, and everything in between leaves the previous state untouched. That hysteresis is intentional. It is what stops the indicator from flipping every time price crosses its own mean.
On the chart
Regression line, green when the state is bullish, red when bearish, gray before the first breakout
Upper and lower standard error bands with a light fill between them, colored to match the current state Triangle below the bar when the state flips bullish Triangle above the bar when the state flips bearish.
Display controls to hide the fill, or the bands entirely, if you want a bare trend line
Two alert conditions, one for each direction
Settings
Source sets which series gets fitted. Close is the standard choice. HL2 or a smoothed input will give a calmer line and fewer flips.
Regression Window sets how many bars the fit covers. Shorter windows follow recent structure and react fast. Longer windows describe the broader trend and produce fewer, slower signals. This is the main setting for matching the tool to your timeframe.
SE Band Multiplier controls how far price has to move from the fitted line before the state changes. Lower values tighten the corridor and generate more signals. Higher values require a more decisive break and filter more noise, at the cost of entering later.
Display group toggles the bands and the fill, and adjusts band opacity.
How to use it
The most direct use is as a trend filter. Trade only in the direction the line is colored and treat the opposite flip as your exit or your cue to step aside.
The corridor itself gives you two readable things. Its width tells you how well price is respecting the trend, so a corridor that has narrowed over recent bars means the fit is tightening and the move is orderly. A corridor that has ballooned means the fit has broken down and the state you are looking at is stale. The center line works as a dynamic reference within an established regime, since a pullback toward it is price returning to its own fitted mean rather than to an arbitrary level.
It pairs well with a volume or momentum check. A corridor break tells you the move is statistically unusual relative to the current fit, but it says nothing about whether there is participation behind it.
Behavior worth understanding
The regression is recalculated on every bar, and the corridor plotted on each bar is that bar's own fit. This is a running envelope, not a fixed channel anchored to a pivot, so the bands will look wavier than a manually drawn regression channel. The reference moves with price, which is what keeps the state stable through a sustained run.
Signals are evaluated on the live bar, so a flip can appear and then vanish before the bar closes. Wait for bar close if you need signals that hold.
Limitations
Linear regression assumes price is moving in a straight line across the window, which is never fully true. The fit degrades at sharp reversals and around gaps, and the corridor is slow to acknowledge a turn right after a strong move because that extension is still inside the window. Treat this as a description of current trend structure, not a forecast.
Disclaimer
The indicator provided is not financial advice. Always conduct your own research and consider multiple factors before making trading decisions. Trade at your own risk. Indicator
Trend-Aligned Oscillator Reversal Engine Comprehensive Guide: Trend-Aligned Oscillator Reversal Engine
Introduction: What is this script and its primary purpose?
The "Trend-Aligned Oscillator Reversal Engine" is a highly sophisticated, multi-layered custom indicator written in Pine Script for the PulseWire platform. Unlike traditional single-metric indicators that often produce false signals in choppy markets, this script functions as a complete, self-contained trading system.
Its primary purpose is to identify high-probability market reversal points by combining momentum exhaustion with strict trend-following filters. The script aims to solve a common dilemma for traders: getting into a reversal early enough to maximize profit, while ensuring the broader market structure supports the trade. By demanding a "confluence of evidence" from multiple technical sources before issuing a buy or sell signal, it minimizes the risk of catching falling knives or shorting into parabolic uptrends. Furthermore, it includes automated alert conditions, making it seamlessly compatible with external platforms via webhooks, Telegram, or API integrations for automated trading.
Working Mechanism: How does it detect trading signals?
The script generates Buy and Sell signals through a complex, dual-engine architecture combined with a dynamic entry delay system. It operates using three distinct technical phases:
1. The Oscillator Reversal Engine (The Trigger)
This engine acts as the primary signal detector, scanning for moments when the market is overextended and ready to snap back. It aggregates data from four classic momentum oscillators:
RSI (Relative Strength Index): Set to a standard 14-period lookback, it detects extreme price levels. A long signal requires the RSI to cross back above the 30 (oversold) threshold, while a short signal triggers when crossing below 70 (overbought).
Stochastic Oscillator (14, 3, 3):This measures closing prices relative to the high-low range. It looks for bullish %K and %D crossovers below the 20 level and bearish crossunders above the 80 level.
Oscillator MACD (12, 26, 9): Identifies shifts in short-term momentum via the crossover or crossunder of the fast MACD line and the signal smoothing line.
CCI (Commodity Channel Index - 20): Detects when cyclical boundaries are breached, triggering upon crossing the -100 or +100 levels.
Confluence Scoring: Rather than relying on just one metric, the script assigns a score of 1 to 4 based on how many oscillators trigger simultaneously. The user can define the `osci_min_score` (default is 1) required to generate a baseline reversal signal.
2. The Trend Confirmation Engine (The Filter)
If the `use_trend_filter` setting is enabled, a reversal signal is completely blocked unless the broader market trend aligns with the trade direction. This engine evaluates five distinct trend indicators:
EMA (50-period): Assesses if the current price is above or below the baseline moving average.
ADX & DMI (14-period): Ensures there is actual trend strength (ADX > 20) and identifies whether buyers (+DI) or sellers (-DI) are in control.
Trend MACD: Validates medium-term momentum direction relative to the zero line.
Supertrend : Evaluates volatility-based trailing support and resistance bands.
Ichimoku Cloud: Checks if the price is trading above the Kumo Cloud (bullish) or below it (bearish).
Trend Scoring:Similar to the oscillators, it calculates a trend score out of 5. By default, at least 3 out of 5 indicators (`trend_min_score`) must agree to confirm the trend's legitimacy.
3. The Retest State Machine (Entry Optimization)
When a trend shift occurs, the script features an optional "Retest Mode". Instead of entering immediately on a breakout—which often leads to fake-outs—the system waits for the price to retest a specific support/resistance level. This level is calculated dynamically using a 14-period Average True Range (ATR) multiplier. The script will wait for a maximum number of candles (default is 3) for this retest to happen before validating or discarding the setup.
How to Use: Recommended Settings and Suitable Markets
Recommended Configurations:
For Conservative Traders: Increase the `osci_min_score` to 2 or 3. This means at least two or three oscillators (e.g., RSI and MACD) must agree simultaneously, drastically reducing false signals. Always keep `use_trend_filter` set to `true`.
Trade Direction Filter: If you are trading in a confirmed macro bull market (like Bitcoin leading up to a halving), set the `trade_direction` to "Buy Only". This ensures you only catch the dips in a larger uptrend and prevents you from fighting the primary market direction.
Retest Mode Adjustments: In highly volatile conditions, leave "Enable Retest Mode" checked with an ATR multiplier of 1.0 to secure better entry prices. In aggressive breakout markets where pullbacks are rare, you may want to disable this feature so you do not miss fast-moving trades.
Suitable Markets and Timeframes:
Because of its reliance on confluence, trend strength, and ATR volatility, this indicator is highly versatile.
Markets: It performs exceptionally well in the Forex market (e.g., EUR/USD, GBP/JPY) where trends and mean-reversions are clearly defined. It is equally effective in Crypto (BTC, ETH) and Indices (S&P 500, NASDAQ) because the rigorous trend-filtering engine automatically strips out the "noise" and fake-outs typical in high-volatility assets.
Timeframes:The script is optimized for medium to higher timeframes. The 15-minute (15m), 1-hour (1H), and 4-hour (4H) charts are ideal. Using it on lower timeframes (like the 1-minute chart) is not recommended, as micro-market noise can prematurely trigger the oscillators before the macro-trend indicators have time to align. Indicator
5 Trend Indicators Combo IndicatorThe 5 Trend Indicators Combo with Retest Logic: A Comprehensive Guide
The "5 Trend Indicators Combo Indicator" is an advanced, multi-faceted technical analysis tool built using Pine Script for PulseWire. Its primary purpose is to identify high-probability trend reversals and continuations by aggressively filtering out market noise and minimizing false breakout signals. Instead of relying on a single, isolated metric—which can often be misleading—this script utilizes a robust "confluence" methodology. It systematically evaluates five distinct, highly respected trend-following indicators, aggregating their individual statuses into a unified scoring system. Furthermore, it elevates standard signal generation by incorporating an intelligent pullback (retest) mechanism, explicitly designed to optimize entry prices so that traders do not buy at the absolute top or sell at the bottom of a sudden, volatile price spike. Additionally, it features a built-in graphical dashboard that allows traders to instantly monitor the bullish or bearish status of all five indicators in real-time.
Working Mechanism: How does it detect trading signals?
The core engine of this script evaluates five technical pillars, each contributing a maximum of one point to a total "Bull Score" or "Bear Score":
1. Exponential Moving Average (EMA): Defaulted to a 50-period length, the EMA establishes the chart's baseline directional bias. A bullish point is awarded if the current closing price is strictly above the EMA, and a bearish point is given if it is below.
2. Average Directional Index (ADX) & DMI: This component measures the absolute strength and direction of a trend. To score a point, the ADX value must exceed a specific threshold (defaulted to 20), acting as a strict filter to ensure the market is actually trending rather than chopping in a sideways range. Once this threshold is met, the Directional Indicators dictate the bias: +DI must be greater than -DI for a bullish point, and vice versa for a bearish point.
3. Moving Average Convergence Divergence (MACD): Operating with standard 12, 26, and 9 periods, the MACD assesses momentum shifts. The script requires strict criteria here: for a bullish score, the MACD line must be above the Signal line *and* above the zero baseline. Bearish points require the MACD line to be completely below both.
4. Supertrend:Utilizing a multiplier of 3.0 and an ATR period of 10, the Supertrend acts as a volatility-adjusted trailing stop. It awards a point depending on whether the current trend is mathematically calculated as bullish (direction < 0) or bearish (direction > 0).
5. Ichimoku Cloud (Kumo): The script analyzes the relationship between the closing price and the Kumo (Cloud), which is defined by Senkou Span A and Span B projected 26 periods into the future. A bullish point is granted only if the price has successfully broken out above the top boundary of the cloud, signifying dominant long-term momentum. A bearish point requires a breakdown below the bottom boundary.
Once the overall score is tallied (ranging from 0 to 5), the script compares it against a user-defined "Minimum Confluence Score". When the score crosses this threshold, an initial trend signal is generated. However, the script's standout technical feature is its "Retest / Pullback" logic. Instead of firing the final execution alert immediately upon the breakout, the script enters a "pending" state. It calculates a dynamic retracement target using an Average True Range (ATR) multiplier. For a buy signal, the price must briefly retrace down to `Close - (ATR * Multiplier)`. The script waits for a maximum number of candles (default is 3) for this pullback to occur. If the price successfully touches this retest level, a highly optimized, safe entry is signaled. If the time expires without a retest, the script automatically fires a delayed entry to ensure the trader does not miss a runaway trend.
How to Use: Optimal Settings and Suitable Markets
To deploy this indicator effectively, traders should focus on optimizing the 'Minimum Confluence Score'. A score of 3 is the recommended baseline, offering a healthy balance between trade frequency and signal accuracy. Increasing this to 4 or 5 will result in much stricter, albeit fewer, high-conviction signals. The Retest ATR Multiplier and Max Wait Bars must be adjusted according to the timeframe; faster timeframes might require smaller ATR multipliers to successfully catch brief micro-pullbacks before the timer expires.
Regarding suitable markets, this indicator is exclusively designed for trending environments. It performs exceptionally well in high-liquidity, directional markets such as major Forex pairs (e.g., EUR/USD, GBP/JPY), large-cap cryptocurrencies (Bitcoin, Ethereum), and major stock indices (S&P 500, NASDAQ). Because it relies heavily on trend-following logic and moving averages, it is most appropriate for medium to higher timeframes, particularly the 1-hour, 4-hour, and Daily charts. Using it on extremely low timeframes (like 1-minute or 3-minute charts) may expose it to excessive intraday noise and erratic wicks, though the ADX filter and Retest mechanism will actively attempt to mitigate those risks. Ultimately, this script transforms a standard chart into a highly systematic, rule-based trading system. Indicator
High Volume Breakout Targets [AlgoAlpha]🟠 OVERVIEW
High Volume Breakout Targets identifies price zones formed by related pivot highs or pivot lows. These zones represent areas where price previously reacted around overlapping wick and candle-body levels.
The indicator then checks whether price closes through a zone with enough of the breakout candle extending beyond its boundary. Qualified breakouts can display directional labels, an entry level, and three targets based on the height of the broken zone.
Normalized volume candles are also shown inside recent active zones. This helps traders compare current volume with its recent average while watching price interact with a potential support or resistance area.
🟠 CONCEPTS
Pivot High Zone — A resistance area formed when a confirmed pivot-high wick falls within the body of a previous pivot-high candle. The zone spans the associated wick highs and body-top levels.
Pivot Low Zone — A support area formed when a confirmed pivot-low wick falls within the body of a previous pivot-low candle. The zone spans the associated wick lows and body-bottom levels.
Pivot Confirmation — A pivot requires the selected number of bars on both sides of the turning point. A higher Pivot Length identifies broader structures but confirms them later and less often.
Zone Maximum Age — The maximum number of bars during which two pivots can be associated and an active zone can continue extending. An expired zone remains visible but no longer produces a breakout.
Qualified Breakout — A breakout requires a confirmed close above a bearish zone or below a bullish zone. It must also place the selected percentage of the candle’s full range beyond the broken boundary.
Normalized Volume — Current volume is divided by its 20-bar average. The resulting ratio controls the size and transparency of the volume candle displayed inside an active zone.
Breakout Targets — The breakout close becomes the entry level. The broken zone’s height is divided into three equal steps to calculate TP1, TP2, and TP3 in the breakout direction.
Target Expiry — Each target setup remains active for a selected number of bars. When TP1 or TP2 is reached, the remaining unhit targets receive a new expiry period from the hit candle.
🟠 FEATURES
Pivot Zones — Displays bullish support zones and bearish resistance zones created from associated pivot structures.
Breakout Labels — Marks bullish and bearish closes that satisfy the selected outside-range requirement.
Three-Level Targets — Displays the breakout entry, a target area, and TP1, TP2, and TP3 levels derived from the broken zone’s height.
Zone Volume Display — Shows normalized volume candles inside the four most recently active zones.
Target Completion Marker — Prints a checkmark on the first candle whose wick reaches TP3.
🟠 HOW TO USE
Adjust Pivot Length to match the structure you trade. Use lower values for smaller and more frequent zones, or higher values for broader and less frequent zones.
Treat bullish zones as potential support and bearish zones as potential resistance while they continue extending.
Watch how price behaves inside a zone. Use the normalized volume candles to compare participation with the recent volume average.
Wait for a breakout label rather than treating every wick through a zone as a breakout. A label appears only after the candle closes beyond the boundary and meets the Minimum Breakout Range setting.
Use a higher Minimum Breakout Range to require more of the breakout candle to trade beyond the zone. Use a lower value to accept less decisive moves.
After a qualified breakout, use the entry line as the breakout reference and TP1, TP2, and TP3 as zone-based projection levels.
Check whether targets are reached before their expiry. TP1 and TP2 extend the active period for the remaining targets when reached.
Combine the zones and breakout signals with market structure, trend direction, liquidity, and risk controls. The indicator does not define a stop-loss or position size.
🟠 CONCLUSION
High Volume Breakout Targets combines pivot-based support and resistance zones, normalized volume context, qualified breakout signals, and zone-height target projections. It gives traders a structured way to assess price interaction with established zones and track the progression of confirmed breakouts. Indicator
Renko Keltner Trend Engine - Brick Based Buy Sell SignalsDESCRIPTION:
█ RENKO + KELTNER CHANNEL = A MATCH MADE FOR TREND TRADING
This indicator rebuilds the classic two-window "Keltner Channel + Renko" trend strategy as ONE self-contained tool — and paints real Renko bricks directly on your normal candle chart. No Renko chart subscription needed, no second window: both Renko engines are built internally from chart data, and every indicator runs on the BRICK series, not on time bars.
█ HOW THE STRATEGY WORKS (the exact rule set)
The system uses TWO Renko engines side by side:
1 — TREND FILTER (3x brick Renko + Stochastic 1,1,1)
The big-brick Renko removes all noise. A fast stochastic (1,1,1) on those bricks produces a clean square-wave regime line:
• Crosses UP through 20 → regime turns BULLISH → longs only
• Crosses DOWN through 80 → regime turns BEARISH → shorts only
The regime stays valid until the opposite cross happens.
2 — EXECUTION WINDOW (1x brick Renko + Keltner Channel + Stochastic 7,3,3 + 9 MA)
• Keltner Channel with the classic settings: EMA 20 mid line, 2 x ATR 10 bands — computed on the Renko bricks, so the channel hugs the brick ladder
• Entry: stochastic (7,3,3) crosses in the regime direction AND one FULL Renko brick closes completely OUTSIDE the Keltner channel → that breakout brick is the entry
• Stop: the middle Keltner band (EMA 20) at entry
• Exit: a brick closes back through the 9-period MA (below for longs, above for shorts)
Simple, mechanical, fully rule-based — and every signal on the chart explains WHY it fired (hover the BUY/SELL pill for the full checklist: regime, stochastic values, breakout level, entry, stop).
█ WHAT YOU GET ON THE CHART
• Real RENKO BRICKS painted over your chart (green/red ladder) — you SEE the logic the signals are computed on
• Keltner Channel (gold bands + mid stop line) and the white 9 MA exit line, all computed on bricks
• Designed BUY ▲ / SELL ▼ signal pills with full "WHY THIS TRADE?" tooltips
• TREND ▲/▼ flip tags whenever the 3x-brick filter changes regime
• Entry + stop lines for the running trade, ✓/✗ exit marks with result tooltips
• Animated cockpit panel: Renko engine info (both brick sizes), 4-step entry checklist with live status, position box, live trade counter + win rate
• Auto (ATR) brick sizing so it works on ANY symbol and timeframe out of the box — or fix the brick size manually (e.g. $3 on ES with $9 filter, the classic setup)
█ WEBHOOK AUTOMATION READY
Create ONE alert with condition "Any alert() function call" and paste your webhook URL. The indicator fires ready-to-use JSON on every event:
BUY / SELL / MA_EXIT / SL_HIT — including symbol, price, stop, brick size, regime, win rate, timeframe and timestamp. Plug it straight into bots, bridges and auto-traders.
█ HOW TO USE
1. Add to a liquid symbol (indices, gold, FX, crypto). The video setup: S&P 500 E-mini, 1-min data, $3 brick / $9 filter
2. Leave brick mode on Auto (ATR) or set your fixed brick size
3. Wait for the checklist in the panel to light up: ① Trend Filter ② Stochastic ③ Brick outside Keltner ④ Entry
4. Manage by the rules: stop = mid band, exit = 9 MA recross — or automate it via webhook
█ NOTES
• Signals are computed on confirmed bricks from confirmed bars — no repainting of past signals
• The Renko engines need warm-up bricks; on fresh charts give it a moment of history
• This is a trading TOOL, not financial advice. Test any setting on your market before going live.
Open source — read it, change it, learn from it.
WHY THESE PARTS BELONG TOGETHER
Renko strips time out of the chart and shows only committed movement, but it has no sense of
whether that movement is stretched or normal. A Keltner channel measures exactly that, but on a
time chart it is constantly distorted by bars that carry no movement at all. Building the channel
on the brick series instead of the candle series is the whole point of this script: the volatility
envelope is finally measured on the same axis the trend is measured on.
Indicator
Indicator
Strategy
Multi-Confluence Signal Engine [MarkitTick]💡 A confluence-weighted signal engine that scores trend, momentum, volume, and market-structure conditions independently, then blends them into two composite 0–100 readings — a Bull Score and a Bear Score — to identify moments where multiple independent forces align in the same direction. Rather than reacting to one indicator crossing one line, this script asks four different questions about price behavior at once and only flags a signal when the weight of evidence clears a threshold you control.
✨ Originality and Utility
Most confluence or "confirmation" scripts on PulseWire work by checking a fixed list of conditions and requiring all of them, or a majority of them, to be true — a rigid AND/OR gate. This script instead builds four independent sub-scores (Trend, Momentum, Volume, Structure), each internally weighted by the relative importance of its own components, and then combines those four legs using user-defined percentage weights into a single continuous score. The practical difference is that a trader can decide, for example, that market structure matters twice as much as volume for their instrument, and the engine will respect that priority mathematically rather than treating every condition as equally binary.
The engine does not stop at "yes/no." Each leg produces a 0–100 magnitude, visible individually on the dashboard, so a trader can see not just that a signal fired but which of the four legs was doing the heavy lifting. A signal driven primarily by Structure (a break of a swing high with rising highs and lows) has a different character than one driven primarily by Volume (a spike on an up-close candle), even if both produce the same final score. This decomposition is what separates the tool from a simple scoring checklist: the score is diagnostic, not just directional.
On top of scoring, the script layers a full trade-management shell: ATR-based stop placement, three R:R-defined take-profit levels, a minimum-bar-gap cooldown to prevent signal clustering, a minimum score-gap requirement between the bull and bear reading to avoid firing on a coin-flip, an optional higher-timeframe trend filter, and an optional ATR-based volatility filter to suppress signals during dead, choppy conditions. This turns a scoring model into a usable end-to-end signal-and-management framework rather than a standalone oscillator.
🔬 Methodology and Concepts
• Trend Leg
The trend component is built from three EMAs — Fast, Slow, and Macro — calculated with a manual recursive EMA function rather than the built-in, giving explicit control over the smoothing seed. Four conditions are checked: whether the Fast EMA sits above (or below) the Slow EMA, whether price trades above (or below) the Macro EMA, and whether the Fast and Slow EMA slopes (measured as simple rate-of-change over a lookback window) are rising or falling. Each condition contributes a fixed point value toward either the bullish or bearish trend sub-score, weighted so that the Fast/Slow EMA relationship and the price-vs-Macro relationship carry the most influence, with slope direction acting as a secondary confirmation.
• Momentum Leg
Momentum blends RSI positioning relative to a configurable midline, MACD line-vs-signal crossover state, and MACD histogram direction (rising or falling versus the prior bar). Each of the three contributes roughly a third of the momentum sub-score, meaning momentum only reads as strongly bullish or bearish when oscillator position, trigger-line relationship, and histogram acceleration all agree.
• Volume Leg
Volume scoring looks for two things: whether current volume exceeds a multiple of its moving average (a "spike") occurring on a candle that closed in the corresponding direction, and whether volume is simply expanding bar-over-bar in that same direction. A volume spike on a directional candle carries the larger weight, since an expanding-but-unspiked volume reading is a weaker signal of conviction than an outright surge.
• Structure Leg
This is a swing-based market-structure read. Pivot highs and lows are detected with a symmetric lookback window (a bar must be the extreme point within a window of bars on both sides to qualify), and the script tracks the two most recent pivot highs and two most recent pivot lows. A bullish structure state requires both the pivot highs and pivot lows to be printing progressively higher (higher highs, higher lows); a bearish state requires the mirror condition. Separately, the script tracks a "break of structure" — price closing beyond the last confirmed pivot high or low in a direction that differs from the currently tracked structural bias — as an additional, heavier-weighted structural signal.
• Composite Scoring
The four leg scores are combined using a weighted average, where the weights (Trend / Momentum / Volume / Structure) are fully configurable and normalized against their own sum, so the four percentages do not need to add to exactly 100 to remain internally consistent. The result is a Bull Score and a Bear Score, each independently ranging from 0–100, which are then bucketed into Strong, Medium, Weak, or None tiers based on two adjustable thresholds.
• Signal Confirmation Logic
A raw long or short condition requires the relevant score to clear the Medium threshold, the gap between the bull and bear scores to exceed a minimum separation (preventing signals when both sides are nearly tied), an optional higher-timeframe trend agreement check, an optional minimum-volatility check using ATR as a percentage of price, and a minimum bar-count since the last signal in that direction. Signals are only confirmed on a closed bar (barstate.isconfirmed), so the plotted signal state does not repaint on the current, still-forming bar.
• Higher-Timeframe Filter
When enabled, the script requests the prior, fully closed value of price and a slow EMA from a higher timeframe using an offset lookback, which is the standard non-repainting method for pulling higher-timeframe context — it deliberately reads the last confirmed HTF bar rather than the in-progress one, so this filter does not introduce forward-looking bias.
🎨 Visual Guide
• Heatmap Candles
When enabled, candle bodies, wicks, and borders are recolored using the Bull/Bear/Neutral color inputs based on which composite score currently leads and whether it clears the Medium tier — teal-family for a leading bull score at or above Medium, red-family for a leading bear score at or above Medium, and gray for anything below that threshold on both sides.
• EMA Lines
Three plotted lines track the Fast EMA (blue by default), Slow EMA (orange by default), and Macro EMA (purple by default). Their relative position and slope are the visual counterpart of the Trend Leg's underlying math.
• Score Labels
When a long signal fires, a label appears below that bar showing the rounded Bull Score. When a short signal fires, a label appears above that bar showing the rounded Bear Score. These give an at-a-glance read of how strong the triggering signal was without opening the dashboard.
• Trade Levels
On a confirmed signal, the script draws a full set of horizontal levels: a Stop-Loss line (red, with an "✕ SL" label), an Entry line (blue dashed, "▶ Entry" label), and three Take-Profit lines at increasing R:R multiples (teal dashed, "◆ TP1", "✦ TP2", "◆ TP3" labels, with opacity increasing from TP1 to TP3). Shaded fills connect Entry-to-Stop (risk zone) and Entry-to-TP3 (reward zone) so the risk/reward geometry is visible at a glance. These levels extend forward automatically as new bars form and are replaced whenever a fresh signal fires, unless the Lock Signal input is enabled, in which case the current level set is frozen and new signals are suppressed from redrawing them.
• Dashboard
An optional on-chart table (position configurable to any corner) summarizes, per bar: the current lock state, the Bull Score and Bear Score as filled progress bars with a percentage, the Bull Tier and Bear Tier classification, each of the four leg scores as its own progress bar, the current volume ratio versus its moving average, and the current ATR as a percentage of price. The progress bars use a three-color scale (teal / amber / red) based on how far the underlying reading sits from its maximum, giving a quick visual read of leg strength without needing to interpret raw numbers.
📖 How to Use
A long condition is flagged only when the Bull Score clears the Medium threshold, leads the Bear Score by at least the configured minimum gap, and passes whichever optional filters (HTF trend, volatility) are enabled — the mirror logic applies to short conditions. The dashboard's per-leg bars are useful for judging signal quality beyond the headline score: a Strong-tier signal backed by all four legs reading high is generally a more complete confluence than one where the composite score is inflated mostly by a single leg such as Volume.
The Lock Signal input is intended for reviewing a specific historical signal's levels without them being overwritten as price continues to move — enable it to freeze the current Entry/SL/TP level set in place, and disable it to resume normal level updates on the next fresh signal.
Because trade levels are geometric projections from ATR and R:R inputs at the moment of signal, not a guarantee of price reaching those levels, they should be read as a structured reference for planning position size and exits rather than a forecast.
⚙️ Inputs and Settings
• Core Settings
Strong and Medium thresholds define the score tiers; the Minimum Bars Gap enforces a cooldown between signals in the same direction; the Minimum Score Gap requires clear separation between Bull and Bear scores before either can fire; the four Leg Weight inputs control how much each of Trend, Momentum, Volume, and Structure contributes to the composite score.
• Trend Leg
Fast, Slow, and Macro EMA lengths, plus the lookback window used to measure EMA slope direction.
• Momentum Leg
RSI length and midline, plus MACD fast/slow/signal lengths.
• Volume Leg
The moving-average length volume is compared against, and the multiplier that defines a "spike."
• Structure Leg
The symmetric lookback window used to confirm a swing pivot high or low.
• Filters
Optional higher-timeframe trend agreement filter (with selectable timeframe) and an optional ATR-based minimum-volatility filter, each of which can independently suppress signals that would otherwise fire.
• Trade Tools
ATR multiplier for stop distance, R:R multiples for the three take-profit levels, a toggle to show or hide the drawn levels, and the Lock Signal toggle to freeze the current level set.
• Visuals
Toggles for heatmap candle coloring, EMA line visibility, and score labels on signals.
• Dashboard
Toggle to show or hide the on-chart summary table and a dropdown to choose which corner it docks to.
• Alerts
Custom text strings for the long, short, close-long, and close-short alert JSON payloads, letting the alert output be adapted to match the syntax expected by an external webhook or automation endpoint.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Trend-Following Theory
The EMA-based trend leg draws on the long-standing empirical observation, formalized in academic momentum and trend-following literature, that asset prices exhibit serial correlation over intermediate horizons — trends, once established, have historically had a higher-than-random probability of persisting over the following period. Dual and triple moving-average crossover systems are among the earliest systematized expressions of this idea, and the slope-of-the-average component reflects the concept of trend "velocity" used in later technical and quantitative trend-strength research.
• Oscillator and Convergence-Divergence Theory
RSI, developed by J. Welles Wilder, is grounded in the idea that the ratio of average gains to average losses over a lookback window reflects the relative strength of buying versus selling pressure, oscillating within bounds that can indicate overbought/oversold conditions or, as used here, simple directional bias relative to a midline. MACD, developed by Gerald Appel, formalizes convergence and divergence between two exponential averages of differing sensitivity; the histogram (the difference between the MACD line and its own signal line) captures acceleration or deceleration in that relationship, which is the specific behavior this script isolates when checking histogram direction.
• Volume-Price Confirmation Theory
The volume leg reflects classical Dow Theory and later volume-price-analysis principles holding that price moves accompanied by above-average volume carry more conviction than moves on thin volume, since volume is treated as a proxy for the degree of market participation and consensus behind a price change.
• Market Structure and Price-Action Theory
The structure leg operationalizes the concept of market structure as used in classical Dow Theory (a sequence of higher highs and higher lows defining an uptrend, and the reverse for a downtrend) and its more recent "break of structure" formalization in price-action and smart-money-concept methodologies, where a close beyond a prior swing point is treated as evidence of a shift in the controlling side of the market.
• Weighted Multi-Factor Aggregation
Combining independently normalized sub-scores via user-adjustable weights mirrors the logic of multi-factor models in quantitative finance, where distinct signal families (trend, momentum, volume, structure/mean-reversion) are each scored on a common scale and then blended, rather than relying on any single factor in isolation — the underlying premise being that signal families with low correlation to one another produce more robust composite readings than any single family alone.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
SuperTrend Ensemble [MiesOnCharts]SuperTrend Ensemble
Any single SuperTrend lives or dies by one number, its ATR multiplier. Set it tight and the line hugs price, flipping early but also flipping on noise. Set it wide and it only turns on real trends, but you give back a lot of profit waiting for confirmation. There's no multiplier that's right all the time, so this indicator stops picking one.
Instead it runs a whole bench of SuperTrends at once, stepping the ATR multiplier from an aggressive low value up to a conservative high one. Each member keeps its own ratcheting stop and its own regime (long or short), completely independent of the others. Every bar, each member votes: is it long or short right now. The ensemble only calls a trend when a supermajority of members agree, which means even the cautious wide-multiplier members have come around. A single twitchy member flipping does nothing on its own.
The line you see plotted is the average of every member's stop, so it moves like a single trailing stop but reflects the whole bench's opinion rather than one arbitrary setting.
Settings:
Min ATR Multiplier / Max ATR Multiplier / Multiplier Step: defines the bench, the low end is the aggressive members, the high end is the conservative ones, and the step controls how many members sit in between.
ATR Length: the volatility lookback each member uses to size its stop distance.
Supermajority Vote Share: how much agreement is needed before the ensemble flips. Higher means fewer, more confident signals, lower means faster reactions with less consensus.
The line changes color and triangles mark the bars where the ensemble itself flips, and alerts are included for both directions.
Disclaimer
The indicator provided is not financial advice. Always conduct your own research and consider multiple factors before making trading decisions. Trade at your own risk. Indicator
Quantile Cloud [MiesOnCharts]Quantile Cloud
This indicator draws the recent value zone using order statistics instead of a moving average and standard deviation. Over a rolling window, it collects every close and finds the upper and lower quantile of that sample, plus the median as a centerline. The cloud sits between the two quantiles.
Why quantiles instead of mean and sigma bands?
A single outlier bar can only shift a percentile rank by one spot, so the cloud stays put after a shock instead of ballooning the way Bollinger style bands do. What you get is a picture of where price has actually spent its time during the window, not a statistical estimate that a spike can distort.
How to read it:
While price stays inside the cloud, it's behaving normally relative to its recent range, and the prior regime holds. No new signal fires just from wandering around inside the value zone. A close above the upper quantile or below the lower quantile means price is doing something it has rarely done recently, and that flips the regime. The median line changes color with the regime (green for up, red for down, gray when neutral), and triangles mark the actual flip bars.
Settings:
Window (bars): how many recent closes make up the sample. Longer windows give a slower, more stable value zone; shorter windows react faster but flip more often.
Upper Quantile % / Lower Quantile %: how wide the cloud is. Pushing these toward the extremes (e.g. 99/1) makes the cloud wider and signals rarer; pulling them toward the middle makes it tighter and more sensitive.
Includes alerts for both upside and downside breaks of the value zone, so you can get notified without watching the chart.
Disclaimer
The indicator provided is not financial advice. Always conduct your own research and consider multiple factors before making trading decisions. Trade at your own risk. Indicator
[Kpt-Ahab] Moving Average Simple AlgoPilotImportant Notice and Risk Warning
The published settings were selected exclusively based on historical data for the asset and timeframe shown.
The displayed result may be random or over-optimized and cannot automatically be transferred to other assets, timeframes, or future market conditions. Even with the presented settings, the strategy may cause significant losses at any time, including the complete loss of the allocated strategy capital.
This script is intended exclusively for analysis and testing purposes. It does not constitute investment advice or a trading recommendation.
Description
This script uses reused and adapted code components from ** Auto RiskManagement & Backtest System 2.1b** and the ** Moving Average Alarm Output **.
These components have been combined into a standalone strategy that integrates moving-average signals with position management, risk management, and backtesting functions.
How It Works
The strategy uses two freely configurable moving averages. **SMA, EMA, WMA, VWMA, or HMA** can be selected independently for the short and long moving averages.
A long signal is generated when the short moving average crosses above the long moving average. A short signal is generated when the short moving average crosses below the long moving average.
The moving averages are displayed directly on the chart. An additional colored area visualizes the position of the price relative to the long moving average. Its intensity changes according to the distance between the two moving averages.
Position and Risk Management
The script supports, among other features:
* Long and short positions
* Fixed or trailing stop-loss levels
* Multiple partial profit targets
* A final profit target
* Breakeven after the first profit target
* Optional additional entries
* Drawdown and losing-trade limits
* Internal or external trading signals
* Different position-sizing methods
Additional entries and simulated leverage may significantly increase the risk of loss.
Backtest Limitations
Strategy Tester results are based exclusively on historical market data. Real-world results may differ significantly due to commissions, spreads, slippage, liquidity, price gaps, and execution delays.
Past performance is not a reliable indication of future results.
Signals During an Open Position
The **Open Position Signals** setting determines how new signals are handled while a position is already open:
* **Wait-End-Deal:** All new moving-average signals are ignored until the current position has been closed by a profit target, stop-loss, or another protective function.
* **Wait-Reversal:** An opposing moving-average signal may close the currently open position.
With **Wait-Reversal**, a sell signal closes a long position, while a buy signal closes a short position. The opposing signal does not automatically open a new position during the same step.
Price-based additional entries remain independent of this setting and may still be executed when enabled.
Stop-Loss, Trailing Stop, Breakeven, and Liquidation Line
The strategy supports both a fixed stop-loss and a trailing stop. The selected percentage represents the direct price distance from the average entry price and is not automatically adjusted by the simulated leverage.
In **FIXED %** mode, the stop is calculated from the current average entry price. If the average entry price changes due to an additional entry, the stop is recalculated accordingly.
In **TRAILING** mode, the stop only moves in a direction that is favorable to the position. If the average entry price changes due to an additional entry, the existing trailing stop is adjusted accordingly.
The stop may optionally be moved to the average entry price after the first profit target has been reached. A stop mode must be enabled for this breakeven function to operate.
The displayed liquidation line is only an internal estimate based on the simulated position and account values. It may differ significantly from the actual liquidation calculation used by a broker or exchange.
Using External Indicators
An external numerical signal source may be used instead of the integrated moving-average signals.
The external indicator must provide a selectable plot series containing the following values:
* **+1:** Long or buy signal
* **−1:** Short or sell signal
All other values, including `na`, produce no new signal.
The external indicator must output the required numerical values through a selectable plot. This plot can then be selected under **External Source**.
How an external signal is processed while a position is already open also depends on the selected **Open Position Signals** setting.
Wichtiger Hinweis und Risikowarnung
Die veröffentlichten Einstellungen wurden ausschließlich anhand historischer Daten für das dargestellte Asset und den verwendeten Zeitrahmen gewählt.
Das Ergebnis kann zufällig oder überoptimiert sein und lässt sich nicht automatisch auf andere Assets, Zeitrahmen oder zukünftige Marktphasen übertragen. Auch mit den dargestellten Einstellungen kann die Strategie jederzeit erhebliche Verluste verursachen und das eingesetzte Strategiekapital vollständig verlieren.
Dieses Skript dient ausschließlich zu Analyse- und Testzwecken und stellt keine Anlageberatung oder Handelsempfehlung dar.
Beschreibung
Dieses Skript verwendet wiederverwendete und angepasste Codebestandteile aus ** Auto RiskManagement & Backtest System 2.1b** und dem ** Moving Average Alarm Output **.
Die Komponenten wurden zu einer eigenständigen Strategie verbunden, die Moving-Average-Signale mit Positions-, Risiko- und Backtestfunktionen kombiniert.
Funktionsweise
Die Strategie verwendet zwei frei konfigurierbare gleitende Durchschnitte. Für den kurzen und den langen Moving Average können jeweils **SMA, EMA, WMA, VWMA oder HMA** ausgewählt werden.
Ein Long-Signal entsteht, wenn der kurze Moving Average den langen Moving Average von unten nach oben kreuzt. Ein Short-Signal entsteht bei einer Kreuzung von oben nach unten.
Die Moving Averages werden direkt im Chart dargestellt. Eine zusätzliche farbliche Fläche visualisiert die Position des Kurses relativ zum langen Moving Average. Die Intensität der Darstellung verändert sich abhängig vom Abstand zwischen den beiden Moving Averages.
Positions- und Risikomanagement
Das Skript unterstützt unter anderem:
* Long- und Short-Positionen
* feste oder nachlaufende Stop-Loss-Marken
* mehrere Teilgewinnziele
* ein abschließendes Gewinnziel
* Breakeven nach dem ersten Gewinnziel
* optionale zusätzliche Einstiege
* Drawdown- und Verlustserienbegrenzungen
* interne oder externe Handelssignale
* unterschiedliche Methoden zur Bestimmung der Positionsgröße
Zusätzliche Einstiege und ein simulierter Hebel können das Verlustrisiko deutlich erhöhen.
Einschränkungen des Backtests
Die Ergebnisse des Strategietesters basieren ausschließlich auf historischen Kursdaten. Reale Ergebnisse können durch Gebühren, Spread, Slippage, Liquidität, Kurslücken und Ausführungsverzögerungen erheblich abweichen.
Vergangene Ergebnisse sind kein verlässlicher Hinweis auf zukünftige Ergebnisse.
Signale während einer offenen Position
Über **Open Position Signals** wird festgelegt, wie neue Signale während einer bereits geöffneten Position behandelt werden:
* **Wait-End-Deal:** Alle neuen Moving-Average-Signale werden ignoriert, bis die aktuelle Position durch ein Gewinnziel, einen Stop-Loss oder eine andere Schutzfunktion beendet wurde.
* **Wait-Reversal:** Ein entgegengesetztes Moving-Average-Signal kann die aktuell geöffnete Position schließen.
Bei **Wait-Reversal** schließt ein Verkaufssignal eine Long-Position und ein Kaufsignal eine Short-Position. Das entgegengesetzte Signal eröffnet dabei nicht automatisch im selben Schritt eine neue Position.
Preisbasierte zusätzliche Einstiege bleiben von dieser Auswahl unabhängig und können weiterhin ausgeführt werden, sofern sie aktiviert sind.
Stop-Loss, Trailing-Stop, Breakeven und Liquidationslinie
Die Strategie unterstützt einen festen Stop-Loss sowie einen nachlaufenden Trailing-Stop. Der eingestellte Prozentwert beschreibt den direkten Kursabstand zum durchschnittlichen Einstiegspreis und wird nicht automatisch durch den simulierten Hebel verändert.
Im Modus **FIXED %** wird der Stop anhand des aktuellen durchschnittlichen Einstiegspreises berechnet. Verändert sich dieser durch einen zusätzlichen Einstieg, wird auch der Stop neu berechnet.
Im Modus **TRAILING** wird der Stop nur in eine für die Position günstigere Richtung nachgezogen. Verändert sich der durchschnittliche Einstiegspreis durch einen zusätzlichen Einstieg, wird der bestehende Trailing-Stop entsprechend angepasst.
Optional kann der Stop nach dem Erreichen des ersten Gewinnziels auf den durchschnittlichen Einstiegspreis verschoben werden. Für diese Breakeven-Funktion muss ein Stop-Modus aktiviert sein.
Die angezeigte Liquidationslinie ist lediglich eine interne Schätzung auf Basis der simulierten Positions- und Kontowerte. Sie kann deutlich von der tatsächlichen Liquidationsberechnung eines Brokers oder einer Börse abweichen.
Verwendung externer Indikatoren
Anstelle der integrierten Moving-Average-Signale kann eine externe numerische Signalquelle verwendet werden.
Der externe Indikator muss eine auswählbare Plot-Serie mit den folgenden Werten bereitstellen:
* **+1:** Long- beziehungsweise Kaufsignal
* **−1:** Short- beziehungsweise Verkaufssignal
Bei allen anderen Werten oder bei `na` wird kein neues Signal ausgelöst.
Der externe Indikator muss die benötigten Zahlenwerte direkt über einen auswählbaren Plot ausgeben. Dieser Plot kann anschließend unter **External Source** ausgewählt werden.
Wie ein externes Signal während einer bereits geöffneten Position verarbeitet wird, hängt zusätzlich von der gewählten Einstellung unter **Open Position Signals** ab.
Strategy
Fan Principle Signals [MarkitTick]💡 Maps out market structure using a sequence of ascending swing lows (or descending swing highs) to construct a three-legged trendline fan, then triggers actionable trade signals the moment price breaks through the steepest line in that fan. Rather than relying on a single moving average or oscillator crossover, this script builds its bias from the actual geometry of recent price swings, giving traders a structural, visually intuitive way to time entries around the exhaustion of a trend.
✨ Originality and Utility
Most breakout tools react to a single reference line, such as a moving average, a fixed channel, or a static trendline drawn from only two points. This script instead applies the fan principle, a technique that connects a common origin point to three successive pivots in the same trend, producing three lines of increasing steepness. The logic behind this approach is that the third and steepest line in the fan typically represents the most aggressive rate of trend continuation, and a decisive close beyond it has historically signaled that the prevailing trend has lost its structural support.
What makes this implementation useful in practice is that it does not stop at drawing the fan. It automatically identifies valid pivot sequences from raw price action, filters out insignificant micro-swings using a minimum leg percentage threshold, validates the freshness of the structure with a lookback cap, and then converts the break event into a complete trade plan, including entry, stop-loss, and three take-profit levels, all derived mathematically from the fan's own geometry and the market's current volatility. The optional volume and higher-timeframe filters allow traders to demand additional confirmation before a signal is accepted, and the built-in dashboard keeps the entire state of the system visible at a glance. The combination of automated structural fan detection, ATR-adaptive risk placement, and live trade monitoring is what distinguishes this from a simple trendline break script.
🔬 Methodology and Concepts
• Pivot Detection
The script continuously scans for swing highs and swing lows using a symmetrical lookback and lookforward window defined by the Pivot Len input. A bar qualifies as a swing high only if it is strictly greater than every other bar within that window on both sides, and a swing low only if it is strictly lower than every bar in that window. Each time a new pivot is confirmed, its bar index and price are stored in a rolling array, keeping the most recent twenty pivots in memory for both highs and lows.
• Fan Construction
Once at least four pivot lows (for an uptrend fan) or four pivot highs (for a downtrend fan) are available, the script selects the four most recent ones. The oldest of the four becomes the fan's origin point. The remaining three form Leg 1, Leg 2, and Leg 3 respectively, each connected back to that same origin. A slope is then calculated for each leg using simple rise-over-run between the origin and that leg's pivot. For the fan to be accepted, the price move between the origin and the first leg must exceed the Min Leg % threshold, which filters out fans built from statistically insignificant noise, and the origin must fall within the Max Fan Lookback window, which prevents the script from anchoring to structure that is too old to remain relevant.
• The Break Condition
Leg 3, the line connecting the origin to the most recent and steepest pivot, is treated as the trigger line. Its price value is projected forward on every bar using the slope calculated at formation. A bullish break requires the fan to currently be in an uptrend orientation, the previous confirmed bar's close to be above the projected Leg 3 value, and the bar before that to have closed at or below it, meaning the break itself happens on a confirmed, completed bar rather than an in-progress one. The bearish break condition mirrors this logic in the opposite direction for downtrend fans. This confirmed-close approach means the script never fires or removes a signal based on an incomplete, still-forming bar, so historical signals will not disappear or move once printed.
• Optional Confirmation Filters
Two independent filters can be layered on top of the raw break condition. The volume filter requires the breaking bar's volume to exceed a multiple of its recent moving average, screening out breaks that occur on unusually thin participation. The higher-timeframe filter compares the breakout bar's close against the prior, fully closed bar on a higher timeframe of your choosing, requiring the breakout direction to align with that broader trend context before a signal is allowed to fire.
• Trade Level Calculation
When a break is confirmed, the script builds an entry, stop, and three take-profit levels automatically. Entry is anchored to the close of the breakout bar. The stop-loss is placed beyond the nearest of the two most recent fan legs, offset further by a small ATR buffer to avoid being clipped by minor wicks, but it is also capped by a maximum ATR distance so a single outlier swing cannot produce an oversized stop. The distance between entry and stop becomes the base risk unit, and the three take-profit levels are placed at user-defined multiples of that risk unit, giving a consistent, R-multiple-based framework for managing the position rather than arbitrary fixed-price targets.
🎨 Visual Guide
Dotted lines connecting the origin point to Leg 1 and Leg 2 show the earlier, less steep sections of the fan structure and provide visual context for how the trend developed.
The solid, extended line represents Leg 3, the active trigger line. It is colored using the Bull Fan color when the fan is in an uptrend orientation and the Bear Fan color when it is in a downtrend orientation, and it projects forward in real time as new bars form.
A blue dashed line marks the Entry level once a signal fires, extending to the right for as many bars as the trade remains active or until a new signal replaces it.
A red solid line marks the Stop-Loss level, with a light red shaded zone (the Risk Fill) drawn between the entry and stop lines to make the risk portion of the trade immediately visible.
Three dashed lines in progressively deeper shades of teal mark Take-Profit 1, 2, and 3, moving from lightest (TP1, closest to entry) to fully opaque (TP3, furthest away). A light teal shaded zone (the Reward Fill) spans from the entry line to the TP3 line, visually contrasting the reward portion of the trade against the risk portion.
Small labels are anchored to each of these lines on the left, displaying the exact price of the Stop, Entry, and each Take-Profit level, and updating their horizontal position as the trade progresses.
An upward-pointing "▲ BUY" label appears below the breakout bar on a bullish break, and a downward-pointing "▼ SELL" label appears above the breakout bar on a bearish break.
An optional on-chart dashboard table displays the ticker and timeframe, whether the Lock Signal feature is active, the current fan orientation, the origin price, the live value of the Leg 3 trigger line, the current entry, stop, a live risk-to-reward progress bar showing how far price has travelled toward TP3 relative to the initial risk, the volume filter status, and the number of bars elapsed since the last signal.
📖 How to Use
A signal is generated only when price decisively closes beyond the Leg 3 trigger line of an established fan, so treat the fan's orientation, shown both by the line color and by the Fan State readout on the dashboard, as the prevailing structural bias before a break occurs. When a bullish break prints, the suggested plan is to consider a long entry near the displayed Entry line, with the Stop-Loss line defining the invalidation point below and the three Take-Profit lines offering staged exit levels as the move develops. A bearish break mirrors this in the opposite direction for short setups.
The R:R Progress bar on the dashboard is useful for monitoring an active trade at a glance: it fills from 0% toward 100% as price advances from entry toward the TP3 target, and its color shifts from red through amber to teal as the trade's risk-to-reward ratio improves. If the Lock Signal option is enabled, the script freezes the most recently confirmed signal and its levels in place rather than allowing a new one to overwrite them, which can help when you want to manage an open position without the on-chart levels shifting. Because signals are confirmed only on closed bars, always wait for bar close before acting on a fresh line break rather than reacting to an in-progress wick.
Enabling the optional Volume and HTF filters will typically reduce signal frequency while raising the bar for confirmation, so consider testing both configurations to see which better matches the behavior of the instrument and timeframe you trade.
⚙️ Inputs and Settings
Pivot Len — Controls how many bars on each side must confirm a swing high or low. Smaller values detect pivots faster but produce noisier, more frequent fan structures; larger values produce fewer but more structurally significant pivots.
Max Fan Lookback — The maximum age, in bars, that a fan's origin point can have and still be considered valid. Lowering this keeps the script focused on recent structure only.
Min Leg % — The minimum percentage price move required between the origin and the first leg for a fan to be accepted, filtering out fans built on insignificant price movement.
Use Vol Filt / Vol Avg Len / Vol Mult — Enables a volume confirmation requirement, comparing current volume against its moving average over the specified length, multiplied by the chosen factor.
Use HTF Filt / HTF — Enables a higher-timeframe trend alignment requirement, comparing the breakout close against the prior confirmed close on the chosen higher timeframe.
SL ATR Buf — The ATR-based buffer added beyond the nearest fan leg when placing the stop-loss, giving the stop room to avoid minor wick noise.
SL Max ATR — A ceiling, expressed in ATR multiples, on how far the stop-loss can be placed from entry, preventing outsized stops on unusually wide fans.
ATR Len — The lookback length used for the ATR calculation that feeds both the stop buffer and the stop cap.
TP1 R / TP2 R / TP3 R — The risk-multiple distances used to place the three take-profit levels relative to the initial risk unit between entry and stop.
Lock Signal — Freezes the current signal and its associated levels in place, preventing a new signal from overwriting them until manually disabled.
Show Fan Lines / Show Trade Levels / Show Labels — Independently toggle the visibility of the fan structure lines, the entry/stop/TP levels, and their accompanying price labels.
Show Dash / Dash Pos — Toggle the on-chart dashboard and choose which corner of the chart it is anchored to.
A full set of color inputs is available to customize the fan lines, trade level lines, fill zones, signal labels, and dashboard appearance to match your own chart theme.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The fan principle applied here descends from classical technical analysis literature on trendline construction, most notably the Gann fan and Andrews' Pitchfork family of tools, which share the premise that connecting a structural origin point to successive swing extremes produces a family of trendlines whose slopes carry predictive meaning about the trend's rate of change. Where this script departs from those older, largely manual techniques is in how the origin and legs are selected: rather than relying on the analyst's subjective choice of anchor points, pivot selection here is fully algorithmic, using a symmetric local-extremum test to ensure each point used is objectively the highest or lowest price within its surrounding window.
The core statistical assumption underlying any trendline-break system is that price trends exhibit a degree of serial correlation, meaning that the rate of ascent or descent between swing points tends to persist for some period before mean-reverting or reversing, and that a violation of the most recent, steepest rate of change is informative about a shift in that underlying process. This is conceptually related to the broader family of change-point detection methods used in time-series analysis, where a structural break in a fitted trend line is used as a signal that the data-generating process has shifted regime. The ATR-based position sizing layered on top draws from the well-established use of Average True Range as a volatility-normalized unit of risk, a concept popularized in behavioral and quantitative trading literature as a way of scaling stop and target distances to the instrument's own recent volatility rather than using arbitrary fixed-point distances, which do not generalize across different assets or market conditions.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Percentage Price Oscillator Navigator [MarkitTick]💡 A highly multi-dimensional momentum and trend-tracking suite. Rather than relying on singular data points, this comprehensive ecosystem fuses normalized momentum oscillators, dynamic volatility filters, and automated risk-management frameworks into a single, cohesive interface. Designed for meticulous market analysts, it provides a strictly confirmed, non-repainting environment to identify structural shifts, validate trend strength, and project actionable risk-to-reward parameters.
● ✨ Originality and Utility
Standard momentum oscillators often suffer from noise in ranging environments and fail to contextualize signals with prevailing market conditions. This tool distinguishes itself by integrating a robust "Smart Filter" engine directly into the core momentum calculation. By dynamically cross-referencing directional movement strength, average true range expansions, and volume surges, it ensures that momentum shifts are only validated when supported by underlying market participation. Furthermore, the inclusion of a fully automated, dynamic risk-to-reward leveling system transforms a traditional oscillator into a complete trade management overlay, complete with a real-time heads-up display dashboard and fully formatted JSON alert payloads for external automation.
● 🔬 Methodology and Concepts
The foundational logic relies on the proportional divergence between a faster and slower moving average, calculating the percentage difference to create a normalized oscillator. This normalization is critical as it allows for consistent momentum evaluation across diverse asset classes regardless of their nominal price value.
To prevent the common pitfall of reverse-engineering and to protect the underlying intellectual architecture, the internal mathematical sequences remain fully abstracted. The methodology employs a cascading verification process:
First, the core normalized divergence is measured against its own smoothed signal line to identify baseline directional shifts.
Second, a Multi-Timeframe (MTF) confirmation engine evaluates the macro trend. This utilizes a strict, offset historical data request architecture, ensuring zero future-data leakage or repainting artifacts.
Third, the Smart Filter engine evaluates atmospheric market conditions. It demands that background volatility, average directional strength, and volume participation meet minimum threshold requirements before validating any structural momentum shift.
Finally, the system utilizes strict bar-close confirmation logic. Signals are exclusively generated when the evaluation bar has permanently closed, ensuring unalterable historical accuracy.
● 🎨 Visual Guide
The visual interface is engineered to maximize data delivery while maintaining chart clarity.
• Oscillator Elements
PPO Line (Solid Blue): Represents the primary normalized momentum metric.
Signal Line (Solid Orange): A smoothed derivative of the primary momentum, acting as the baseline for crossover events.
Histogram Columns: Visualizes the spread between the PPO and Signal lines. Rising positive momentum is colored in solid teal, while weakening positive momentum fades to a transparent teal. Conversely, expanding negative momentum is solid red, fading to transparent red as bearish momentum wanes.
Zero Line (Gray): The equilibrium point delineating macro bullish versus bearish environments.
• Chart Overlay Elements
Heatmap Candles: The main chart candles are dynamically colored (Teal for positive momentum, Red for negative momentum) based directly on the histogram's state, instantly aligning price action with underlying momentum.
Signal Markers: Small, precise triangles appear at the exact bar of a confirmed momentum crossover (Teal triangle pointing up for bullish, Red pointing down for bearish).
Risk Management Levels: Upon a confirmed signal, the tool draws horizontal projections. The Stop Loss is a thick solid red line. The Entry is a dashed blue line. Take Profit targets (TP1, TP2, TP3) are plotted as dashed teal lines of varying opacity. Colored background fills visually represent the geometric risk and reward zones.
• Heads-Up Dashboard
A fixed tabular dashboard provides a real-time diagnostic readout of all internal states, including current momentum values, moving average gap percentages (visualized as a progress bar), higher-timeframe alignment, and the active positional status with exact level coordinates.
● 📖 How to Use
This tool is designed to act as a primary navigational compass for market structure. Traders should observe the histogram for early signs of momentum deceleration (indicated by fading column colors). A validated setup occurs when the primary momentum line crosses the signal line, strictly accompanied by a visual marker on the chart.
Because the system employs strict bar-close confirmation, traders must wait for the bar to finalize before interpreting a signal as valid. Once a signal fires, the risk management levels automatically project onto the chart. The user can utilize the "Lock Signal" feature to freeze these specific entry and exit levels on the chart, preventing the system from calculating subsequent, potentially conflicting signals while a trade is actively being managed. The comprehensive JSON alerts can be mapped directly to external execution platforms, utilizing the dynamically generated Entry, Stop Loss, and Take Profit price coordinates embedded within the payload.
● ⚙️ Inputs and Settings
The configuration panel is highly modular, categorized logically for precise tuning:
• Core
Defines the lookback periods for the fast, slow, and signal moving averages, as well as the calculation type (SMA or EMA) and the source price data.
• Filters
The gatekeeper settings. Users can toggle and tune the Higher Timeframe confirmation, ADX strength threshold, ATR volatility multiplier, and Volume moving average requirements. A histogram slope confirmation can also be activated to ensure structural momentum is moving in the correct direction.
• Trade Tools
Controls the geometric risk overlay. Users define the Stop Loss distance via an ATR multiplier and set precise Risk:Reward ratios for all three Take Profit targets. The "Lock Signal" toggle is located here, allowing users to freeze the active projection.
• Visuals & Dashboard
Comprehensive toggles to enable or disable specific UI elements such as the histogram, heatmap candles, chart signals, and the diagnostic dashboard, allowing for a fully customized workspace.
• Alerts
Input fields to define custom JSON action tags for integration with third-party webhooks, ensuring seamless connectivity with external systems.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this evaluation suite rests on the synthesis of structural momentum analysis and statistical variance gating. In traditional financial modeling, momentum is frequently quantified as the first derivative of price relative to time. However, absolute price changes suffer from scalar distortion; a ten-point move in a high-valuation asset is mathematically insignificant compared to a ten-point move in a low-valuation asset. By utilizing a normalized percentage differential between dual moving averages, the tool mathematically standardizes momentum, allowing for robust, scale-invariant analysis.
Furthermore, the integration of the Smart Filter engine elevates the framework from simple linear smoothing to a multidimensional evaluation model. The inclusion of the Average Directional Index (ADX) introduces a non-directional vector strength requirement, ensuring that momentum shifts are occurring within an established trend environment rather than a stochastic mean-reversion chop. The Volatility filter, utilizing the Average True Range (ATR), acts as a statistical variance gate. It postulates that significant structural shifts require an expansion in price distribution variance; if a momentum crossover occurs during a period of localized volatility contraction, it is statistically more likely to be a false positive generated by noise rather than a genuine shift in market consensus.
Finally, the dynamic risk leveling system applies principles of geometric expectancy. By anchoring the invalidation point (Stop Loss) to the ATR, the system ensures that risk parameters are continuously adjusted to the current statistical distribution of price movement, rather than relying on arbitrary, static percentages. This creates a mathematically sound, expectancy-positive projection model that adapts fluidly to expanding and contracting market environments, enforcing a rigorous, quantitative approach to trade management.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Smart Renko Engine# Smart Renko Engine
Smart Renko Engine is designed for traders who like the clarity of Renko charts but don't want to leave their regular candlestick charts behind. Instead of switching your chart type, this indicator builds a Renko-style trend line directly on top of any standard chart, allowing you to keep your candles, volume, drawing tools, and other indicators exactly as they are.
The goal is simple: reduce market noise, make trends easier to follow, and provide additional context with moving averages and a built-in dashboard—all within a single indicator.
---
## How it works
At the heart of the indicator is a custom Renko engine that continuously calculates an internal Renko level using live price data. Whenever price moves by at least the selected brick size, the Renko line steps to a new level. Because the line only changes after meaningful price movement, many of the small fluctuations seen on time-based charts are filtered out, making the broader market direction easier to see.
Unlike PulseWire's native Renko charts, this indicator **does not replace your candles**. Instead, it overlays the Renko calculation on top of your existing chart, so you can continue using all of PulseWire's standard charting features.
The Renko line changes color automatically:
- **Green** when the current trend is bullish.
- **Red** when the current trend is bearish.
---
## Intelligent asset detection
One feature that makes this indicator different is its automatic asset detection.
Instead of asking users to manually adjust Renko settings every time they change markets, the script examines the current symbol and automatically selects a suitable default brick percentage for many common asset classes, including:
- Stock indices
- Index options
- Stock options
- Stocks
- Index futures
- Gold
- Silver
- Crude Oil
- Natural Gas
- Cryptocurrency
If your symbol cannot be identified—or if you simply prefer your own settings—you can switch to **Manual Mode** and choose the asset type yourself or enter a completely custom value.
---
## Flexible brick sizing
Different traders prefer different Renko styles, so the indicator offers two calculation methods.
### Percentage Mode
The brick size is calculated as a percentage of the current market price.
Because the brick size automatically scales as price changes, this mode adapts naturally to different instruments and changing market conditions. For most users, this is the recommended option.
### Fixed Box Size Mode
If you already trade using traditional Renko settings, you can specify an exact brick size in points.
This keeps every brick the same size regardless of the instrument's current price.
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## Built-in trend analysis
To complement the Renko engine, the indicator includes three fully configurable moving averages.
You can choose between:
- SMA
- EMA
- WMA
- VWMA
- SMMA (RMA)
The first two moving averages create a trend cloud that changes color as momentum shifts.
- When the faster average moves above the slower average, the cloud turns bullish.
- When the faster average drops below the slower average, the cloud turns bearish.
A third moving average acts as a longer-term trend reference, helping traders quickly judge the broader market direction.
---
## Dashboard
A lightweight dashboard displays important information at a glance, including:
- The detected or selected asset type
- The active Renko brick size
- The current trend direction
The dashboard position can be moved to any corner or center position on the chart.
---
## How to use
There is no single "correct" way to trade with this indicator, but many traders use it to:
- Filter out short-term market noise.
- Identify the dominant trend more clearly.
- Stay aligned with larger market moves.
- Combine Renko structure with moving average confirmation.
- Add long-term trend context before entering trades.
The indicator is intended to support your existing analysis rather than replace it. It works best when combined with your own trading rules, risk management, and market knowledge.
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## What makes this indicator different?
Rather than focusing only on plotting a Renko line, Smart Renko Engine combines several tools into a single workflow.
Some of its key features include:
- A custom Renko engine that works directly on standard candlestick charts.
- Automatic detection of multiple asset classes with optimized default brick percentages.
- Manual override for complete control.
- Choice between adaptive percentage-based bricks and fixed box sizes.
- Three configurable moving averages with multiple MA types.
- A dynamic EMA trend cloud for quick momentum visualization.
- A built-in dashboard showing the active asset class, brick size, and trend.
The objective is to provide a practical Renko experience without requiring traders to constantly switch between chart types or maintain several separate indicators.
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## Notes
This indicator calculates its own Renko values internally and therefore should not be expected to match PulseWire's native Renko charts exactly. The calculation method is intentionally designed to work on regular time-based charts while preserving the original candlestick view.
Automatic asset detection relies on PulseWire's symbol information. In rare cases where a symbol uses an uncommon naming convention, selecting the asset manually may produce more appropriate brick sizing.
As with any trend-following tool, signals may appear after a trend has already begun, since a minimum price movement is required before a new Renko brick is formed.
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## Disclaimer
This indicator is provided for educational and informational purposes only. It should not be considered financial or investment advice.
No indicator can predict future market movements or guarantee profitable trades. Always perform your own analysis, manage risk appropriately, and use this tool as part of a broader trading plan rather than as a standalone decision-making system.
## Support & Feedback
I hope you find this indicator useful in your trading journey.
If you have any questions, suggestions, feature requests, or simply want to connect, feel free to send me a message through the **PulseWire Chat**. I always enjoy hearing from fellow traders and appreciate constructive feedback that helps improve future versions.
If you found this script helpful, please consider:
* 👍 Boosting this publication
* 💬 Leaving a comment with your feedback or ideas
* ⭐ Following my PulseWire profile to stay updated with future indicators and improvements
Your support and feedback motivate me to continue building free, high-quality tools for the PulseWire community. Thank you!
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