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
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
swing alpha proTitle: swing alpha pro
Description:
swing alpha pro is a comprehensive trend-following and dynamic volatility analysis tool designed primarily for swing traders, position traders, and scalp traders across all financial markets (Forex, Crypto, Indices, and Commodities).
The indicator combines adaptive volatility envelope bands with trailing stop signal generation to identify high-probability trend entries, exit levels, and structural volatility boundaries.
Key Features & How It Works
1. Dynamic Support & Resistance Ribbons (Upper & Lower Bands)
Instead of cluttering the middle of the chart, the indicator plots two distinct, color-coded volatility channels:
Upper Resistance Ribbon (Red): Represents dynamic overbought conditions and structural volatility expansion to the upside.
Lower Support Ribbon (Green): Represents dynamic oversold conditions and volatility expansion to the downside.
The core channel area remains clean to allow clear candlestick pattern inspection.
2. UT Bot Signal Engine (BUY / SELL Signals)
Signals are generated using an adaptive ATR Trailing Stop calculation combined with key price action sensitivity settings:
BUY Signals (Green Labels): Plotted when the close price crosses above the trailing stop loss line, signaling a potential bullish momentum shift.
SELL Signals (Red Labels): Plotted when the close price breaks below the trailing stop loss line, signaling a potential bearish breakdown.
3. Automated Take Profit (TP) Levels & Visual Markers
When a valid signal triggers, the script calculates dynamic profit targets based on average true range (ATR) multiples (TP1 and TP2).
When price touches target levels, the script draws a subtle vertical line with an "x TP" marker directly on the candle to confirm objective target realization without clogging price action.
How to Use & Trading Strategy
Trend Identification:
Look for price respecting the Lower Green Ribbon as potential buying interest or the Upper Red Ribbon as resistance.
Entry Rules:
Long Entry: Wait for a confirmed green BUY label when price bounces off or recovers near the lower support ribbon.
Short Entry: Wait for a confirmed red SELL label when price rejects near the upper resistance ribbon.
Exit Rules & Risk Management:
Use the dynamic "x TP" vertical lines as partial or full profit-taking zones.
Place structural stop-losses beyond the opposing ribbon or the initial ATR trailing line.
User Inputs & Customization
Signal Sensitivity (aSens): Controls the responsiveness of the BUY/SELL signals (higher values reduce noise for longer swing timeframes; lower values increase frequency for lower timeframes).
ATR Period (aPeriod): Adjusts the volatility calculation length.
Channel Length (ribbonLen): Sets the baseline length for the upper and lower ribbons.
Upper/Lower Band Multipliers (multTop / multBot): Fine-tunes how far the resistance and support ribbons stretch from the mean price.
TP Multipliers (tpRatio1 / tpRatio2): Sets custom risk-to-reward ratios for Take Profit targets.
Disclaimer
This indicator is strictly intended for informational and educational purposes. Past performance is not indicative of future results. Always manage your risk carefully and backtest strategies before executing real trades.
Indicator
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
Alpha Forge Adaptive VWAP Wave v1.0.19Alpha Forge Adaptive VWAP Wave is a selective, long-side market-structure overlay designed specifically for standard 1-hour charts.
It combines an adaptive VWAP-based wave with confirmed multi-timeframe qualification to help distinguish between balanced conditions, directional expansion, and established trends. Rather than producing signals on every crossover, the indicator waits for its internal market profile and routing requirements to align.
HOW THE ROUTING WORKS
The indicator evaluates two possible routes:
• 1H PRIMARY — The setup qualifies directly from the 1-hour market structure.
• 4H QUALIFICATION / 1H EXECUTION — A completed 4-hour candle establishes the broader thesis while the actual entry remains timed and confirmed on the 1-hour chart.
The 1-hour route always receives priority. The 4-hour route is only considered when the primary route does not qualify.
If neither route meets the internal requirements, the dashboard displays NO QUALIFIED ROUTE. This is intentional and means the indicator is choosing to stand aside rather than force a setup.
SIGNAL MARKERS
• Cyan BUY — Confirmed 1-hour tactical entry.
• Purple 4H QUAL BUY — Confirmed 4-hour thesis with a 1-hour tactical entry.
• Pink EXIT — Confirmed tactical exit or protective trade-management event.
Signals are deliberately selective and will not appear on every symbol.
ADAPTIVE WAVE
The cyan and magenta wave provides a visual representation of the active VWAP structure and surrounding deviation zones.
The wave is designed to make changes in balance, direction, and structural support easier to identify without covering the underlying price action. Its width and position adapt to the market rather than remaining fixed to a single static distance.
DASHBOARD
The Alpha Forge dashboard provides a compact summary of the current operating state:
• STATUS — Whether the system is in a trade or standing aside.
• ROUTE — The timeframe path currently controlling the setup.
• PROFILE — The trade-management profile selected by the internal qualification process.
• REGIME — The detected market environment.
• SAMPLE — The amount of historical evidence available for the selected profile.
• POSITION — Current position state and active profile.
FORGE GUIDE
The Forge Guide translates the active system state into three practical sections:
• WAITING — What the system is currently waiting for.
• WATCH — The structure or protection currently being monitored.
• ACTION — The appropriate response for the present state.
The Guide is informational. It does not replace personal risk management or independent analysis.
RECOMMENDED USE
• Use standard candlesticks or bars.
• Use the 1-hour chart timeframe.
• Leave the source at its default HLC3 setting unless you are deliberately testing an alternative.
• The 4-hour analysis is handled internally; there is no need to change the chart to 4H.
• Wait for the candle to close before treating a marker as confirmed.
The indicator is primarily intended for liquid stocks and metals. It may also qualify selected forex markets, but it is deliberately selective and should not be expected to produce a route on every currency pair.
SIGNAL CONFIRMATION
BUY and EXIT events are confirmed only after the 1-hour chart candle closes.
The higher-timeframe route uses information from previously completed 4-hour candles. This prevents an unfinished 4-hour candle from being treated as confirmed evidence.
The live wave and dashboard may move while the current candle is forming. Final markers and alerts are only confirmed at candle close.
ALERTS
The script supports confirmed BUY and EXIT alerts.
For standard PulseWire notifications, create alerts from the available BUY and EXIT conditions.
For dynamic webhook messages, select “Any alert() function call.” Create webhook alerts while the dashboard is FLAT whenever possible.
PulseWire stores a snapshot of the script, chart, and settings when an alert is created. Alerts should therefore be recreated after changing the script, symbol, timeframe, or important inputs.
IMPORTANT QUALIFICATION NOTES
This is an indicator, not a PulseWire strategy.
Its internal qualification process evaluates the historical information available on the loaded chart. Qualification can therefore vary with the symbol, market-data provider, and amount of chart history available.
The internal cost filter assumes 0.05% per side. It does not separately model spread, slippage, funding, swaps, or broker-specific commissions.
Historical qualification does not guarantee future performance. A qualified route identifies alignment with the model’s requirements; it is not a prediction or promise that a trade will be profitable.
Alpha Forge Adaptive VWAP Wave is intended as a market-structure and decision-support tool. It should be used alongside appropriate position sizing, risk controls, and independent analysis.
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.
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Entry Checklist Panel## The 13 checklist points, explained
**1. Trend breaks swing / bias** — Is the market actually trending right now? The script looks at recent swing highs and lows and checks if price has been making higher highs and higher lows (uptrend) or lower highs and lower lows (downtrend) two times in a row. If yes, there's a real trend to trade with.
**2. Pullback small + low volume** — When price pulls back against the trend, is that pullback small and quiet, not a big aggressive move? A weak, low-volume pullback suggests the trend is just resting, not reversing.
**3. Volume match move** — Was the volume during the actual trending move bigger than the volume during the pullback? If the trend candles had more participation (volume) than the pullback candles, that's a sign the trend is the "real" move and the pullback is just noise.
**4. 9EMA/VWAP close** — Are the 9-period moving average and VWAP sitting near each other (within 1%)? If they're far apart, price is stretched too far in one direction and may need to cool off before continuing.
**5. Entry near 9EMA/VWAP** — Is your actual entry price close to one of those two reference lines? Entering too far away from either means you're chasing price rather than getting a fair, supported entry.
**6. Breaking ORB high/low** — Has price broken above or below the opening range (the high/low set in the first several minutes of the session)? This is often the sign that a real directional move for the day is starting.
**7. Key level out of way (manual)** — Is there a support/resistance line you've drawn nearby that price hasn't cleared yet? You check this yourself — if a key level is sitting right in the way, it's not a clean entry.
**8. 200/400 SMA not in the way** — Are the longer-term moving averages either trending clearly, or is price already clear of both? If they're flat and price is tangled up in them, that's resistance/support you'd be fighting.
**9. FTFC aligned (manual)** — Does your "timeframe continuity" indicator agree with the direction you want to trade? You check this yourself since it depends on a separate tool.
**10. SL makes sense (manual)** — Is your stop-loss placed sensibly — not too wide, with room to reach your target, and beyond the levels that would prove you wrong? A judgment call only you can make.
**11. Not consolidating at entry** — Is the current candle showing real movement, or is price just chopping sideways in a tight range? Trading during dead chop is a losing habit; this row checks for actual expansion.
**12. Bid/ask held 5s (manual)** — For quick order-book-based (BW) entries: did the price actually hold at your entry level for a few seconds instead of just flickering through it? You confirm this yourself in the moment.
**13. Pullback engulfed (manual)** — Did the move back in your favor "engulf" (fully cover) the pullback candle before you? Not required, but it's a stronger signal when it happens — you judge this by eye. Indicator
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Price Action Squeeze Pro📊 Script Overview: PrAc Squeeze Pro (//@version=6)
⚙️ Core Inputs & MACD
🔢 Length Settings: 🎛️ 12 fast, 26 slow, 9 signal inputs
📈 Moving Averages: 🔄 Configurable between EMA and SMA types for both oscillator and signal lines
📉 Squeeze Pro & Volatility Channels
📊 Bollinger Bands: 📐 Length 20 with a standard deviation multiplier of 2.0
📉 Keltner Channels: 📏 Multiple levels (1.0, 1.5, 2.0 multipliers) providing high, mid, and low compression zones
🔴 Compression States:
🟢 No Squeeze: Volatility bands outside channels
⚫ Low Compression: First trigger tier
🔴 Mid Compression: Original squeeze tier
🟠 High Compression: Toughest compression tier
🌊 Momentum & Volume Delta MACD
📉 Price Action Oscillator: 📊 Linear regression momentum calculation plotted as columns (green/red)
🔊 Volume Delta MACD: 🔀 Multi-timeframe calculation utilizing buying vs. selling volume differentials
📐 Dynamic OB/OS: 📊 Automatically adjusts overbought/oversold boundaries via standard deviation lookbacks (100 length, 2.0 multiplier)
🚨 Alerts & Visual Plots
🔔 Triggers: Automated alerts for when a squeeze starts or fires, plus histogram directional shifts
📈 Visual Elements: 🎨 Columns for price action, circle markers for squeeze status, custom lines for MACD/Signal, and dynamic threshold lines Indicator
Indicator
Strategy
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.
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Target Trend ProEnhanced trend-following tool with automated entry signals, stop loss, three profit targets, filters, and live dashboard.
🎯 Target Trend Pro
An enhanced and expanded version of the original Target Trend concept by BigBeluga.
This indicator helps traders identify trend direction and manage trades visually with clear entry signals, stop loss, and three customizable take-profit levels — all displayed directly on the chart.
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🔵 KEY FEATURES
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• Adaptive SMA ± ATR bands for trend detection
• Automatic Long / Short entry triangles
• Three fixed Take Profit levels (ATR-based)
• Dynamic or fixed Stop Loss (with optional trailing)
• Live Dashboard showing:
- Entry, SL, TP1/TP2/TP3 with distance %
- Risk:Reward ratio
- ADX status
- Bars in trade
- Current trade status
• Filters:
- ADX Filter
- Higher Timeframe confirmation
- Volume Filter
• Clean visual management (lines, labels, fills)
• Full alert support (Entry + TP hits + SL hit)
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🔵 HOW IT WORKS
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1. Trend is detected when price crosses the adaptive SMA bands.
2. On a confirmed trend change, the indicator plots:
- Entry level
- Stop Loss
- Three Take Profit targets
3. Targets are calculated using ATR at the moment of the signal (fixed).
4. The dashboard updates in real time with trade progress.
5. Optional filters help reduce low-quality signals.
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🔵 SETTINGS OVERVIEW
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• Trend Length & ATR settings → Control sensitivity
• TP1 / TP2 / TP3 Multipliers → Customize target distances
• Trailing Stop → Optional dynamic stop loss
• ADX / HTF / Volume filters → Improve signal quality
• Display options → Dashboard position, line extension, etc.
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🔵 CREDITS
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Original concept: Target Trend by BigBeluga
This version is a heavily enhanced and expanded modification released for free under the same Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license.
Please keep credits if you share or modify this script.
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⚠️ DISCLAIMER
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This indicator is for educational and informational purposes only.
It does not constitute financial advice. Always do your own research and manage risk properly. Indicator
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