OBV MACD Indicator + ADX Filter [v6]# OBV MACD + ADX Trend Indicator
The **OBV MACD + ADX Trend Indicator** combines volume-based momentum, MACD-style trend analysis, and ADX trend-strength filtering into one tool.
The indicator is designed to help identify potential bullish and bearish momentum shifts while filtering out weaker market conditions.
## How It Works
The indicator uses a modified **On-Balance Volume (OBV)** calculation to combine price movement and volume information.
This volume-adjusted data is then processed with a selectable moving average and compared against a slower EMA to create a MACD-style momentum value.
A slope calculation is applied to the MACD output, and the resulting trend channel changes direction when momentum shifts.
The indicator also includes an **ADX filter**. Signals are only considered valid when ADX is above the selected minimum level, helping reduce signals during weak or sideways market conditions.
## Signal Logic
**Blue / Bullish Signal**
A bullish signal appears when the internal trend channel changes from bearish to bullish while the ADX value is above the selected minimum threshold.
This can be used as a potential long-entry confirmation.
**Red / Bearish Signal**
A bearish signal appears when the internal trend channel changes from bullish to bearish while the ADX value is above the selected minimum threshold.
This can be used as a potential short-entry confirmation.
## Main Features
* Volume-based OBV momentum calculation
* MACD-style momentum analysis
* Multiple selectable moving-average types
* DEMA, TEMA, TDEMA, TTEMA, HMA-based and zero-lag options
* Adjustable OBV smoothing
* Adjustable MACD slow length
* Adjustable slope sensitivity
* ADX trend-strength filter
* Custom minimum ADX threshold
* Bullish and bearish trend-change signals
* Optional pivot detection
* Alert conditions for long and short signals
## Suggested Usage
This indicator works best when combined with an additional market-direction filter.
For example:
**Long Setup**
1. Price is above VWAP.
2. VWAP slope is bullish.
3. ADX is above the selected threshold.
4. The OBV MACD indicator generates a bullish signal.
5. Enter according to your own risk-management rules.
**Short Setup**
1. Price is below VWAP.
2. VWAP slope is bearish.
3. ADX is above the selected threshold.
4. The OBV MACD indicator generates a bearish signal.
5. Enter according to your own risk-management rules.
The indicator can also be combined with market structure, support/resistance, volume profile, or higher-timeframe trend analysis.
## Important
This indicator is intended as a **confirmation and momentum tool**, not as a complete standalone trading strategy.
Signals should always be combined with proper risk management, stop-loss placement, and independent backtesting.
Performance may vary depending on the market, timeframe, trading session, and selected settings.
Indicator
Keep It Simple**Keep It Simple — dominant market force in one glance**
The main goal of this indicator is to show which force is dominant on each candle, through a colored EMA cloud and an intuitive color code. The Bollinger Bands help you read whether volatility is expanding or contracting, and the thickness of the short moving-average line tells you whether a trend exists and whether it is gaining force or not.
A simplified read of structure and direction in a single overlay:
- **Bollinger Bands** (length 21 · deviation 1.3 · EMA basis) with a blue cloud between them — the price "territory". Band lines can stay hidden; the cloud alone keeps the read clean.
- **Short EMA (8)** — the direction line; its thickness increases as the trend gains force (thickness driven by ADX plus a short range index, and only while that force is rising).
- **Long EMA (21)** — hidden by default (toggle-able); it always feeds the state color.
- **Cloud between the EMAs**, painted in the color of the current market state.
**How to read the colors (market state · EMAs and cloud):**
- Green — full up (price above EMA 8 · EMA 8 above EMA 21)
- Blue — pullback in an uptrend (price below EMA 8 · EMA 8 above EMA 21)
- Gray — neutral / transition
- Purple — pullback in a downtrend (price above EMA 8 · EMA 8 below EMA 21)
- Red — full down (price below EMA 8 · EMA 8 below EMA 21)
**Why combine these three?** Bands alone tell you *where* price is working; a plain moving average tells you *which way*; neither tells you *how strong* or *what regime*. Here they are wired together: the bands/cloud give the territory and its volatility, the thick colored short EMA gives direction plus strength in one line, and the shared state color ties price, short EMA and long EMA into a single regime read — so one glance answers where price is, which way it leans, and how strong that lean is.
Open-source and fully commented, so you can see exactly how each part is computed and adapt it.
Success to all,
Fabio Maistro 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
Supertrend Twincore [MachineSuiteAI]Supertrend Twincore
🟦 OVERVIEW
A fast Supertrend flips too often; a slow one flips too late. This script runs both at once and only signals when they agree — and then shows you, with win rates and sample sizes, how that agreement has actually performed on the chart you have loaded.
A signal only appears where the fast core (timing) and the slow core (structure) first align, and only if it passes a gate: clustered whipsaw flips always suppress, and every other filter blocks signals only where measurement shows it helps on this chart. Passed signals are graded A/B/C and draw an Entry / SL / TP1-3 ladder whose outcomes are tracked per grade. Suppressed candidates stay as grey ghost chips with the reason, and a five-row multi-timeframe strip shows the consensus state across timeframes from completed bars.
The idea throughout: the chart never claims more than the data supports, and anything the script believes is checkable in the panel.
🟦 WHAT IS A SUPERTREND?
Supertrend is a public-domain trailing-stop indicator: it offsets price by a multiple of the Average True Range and trails that stop behind the trend. Price above the stop means uptrend, below means downtrend; a close across it flips the state. This script computes its cores with the built-in ta.supertrend() — fast 2.0 × ATR(10) and slow 4.0 × ATR(20) by default.
Its known weakness is structural: in ranging markets the stop is repeatedly crossed and the indicator whipsaws. Filters are the usual answer; this script measures whether each one actually helps on the loaded symbol and timeframe, and the marks and the gate act only on that evidence.
🟦 WHY THIS SCRIPT IS ORIGINAL
The base calculation is a built-in, and the ingredients — win-rate panels, ADX gates, higher-timeframe confirmation, multi-timeframe dashboards, take-profit ladders, signal grades — are established ideas. What's different is the standard everything must meet: beyond one fixed whipsaw rule, nothing gets drawn, nothing blocks a signal, and nothing drives the engine unless the measurements on the loaded chart back it up.
- Graded ladder odds with the cost attached. Grades are fixed and published — A means structural confirmation plus volume, B one of the two, C neither; no opaque score. Every passed signal's ladder is tracked to resolution; the panel shows per grade: TP1-before-SL and SL-first rates, the median furthest level, the median heat (largest adverse move, in ATR units) and the median bars to TP1, each with its own sample size.
- An adaptive engine that has to beat the fixed one first. Both fast cores — fixed and adaptive — are measured as separate signal streams on the loaded chart, and the adaptive core only drives signals while it beats the fixed core by a set margin with enough samples. The A/B row shows the running comparison; on defaults it reports the adaptive layer as inert.
- Gates held to the same standard. The ✓ volume mark and ⚠ counter-trend warning only print where their split beats the base win rate by a configurable margin here. The ADX gate only blocks candidates where high-ADX candidates have beaten low-ADX candidates by that margin on this chart.
- Per-condition win-rate splits. The base candidate win rate, then the same measurement split by signal class, higher-timeframe agreement, volume confirmation, multi-timeframe alignment and volatility regime — six statistics, each with its own sample size, greyed below a minimum sample.
- Two kinds of signals, measured separately. A candidate exists only on the first bar the cores align and is classified as a structural confirmation (the slow core just flipped in) or a pullback rejoin (the fast core returned to a standing slow trend); a double flip on one bar is labeled same-bar. They are different trades, measured separately.
- Suppression you can audit. A gated-out candidate still prints — a hollow grey ghost chip with the specific reason — and still counts in every statistic, so the base rate is never inflated by counting only the survivors.
- Visual discipline. The band claims a direction only while both cores agree; its saturation drains as price nears the structural stop, so the exit warning arrives before the flip; NEUTRAL keeps a directional tint, so the last trend stays readable while standing aside. The price scale is held to the same rule — it carries the structural stop and the ladder's Entry, SL and TP1-3, each in its own colour, and nothing else; the band and the fast core draw on the chart but claim no axis label. Every visual property maps to something measured.
🟦 HOW IT WORKS
- Cores: two standard Supertrends — the fast core times entries, the slow core defines structure and is the ladder's trailing stop. Presets: Scalp 1.5×ATR(7)/3.0×ATR(14), Intraday 2.0×ATR(10)/4.0×ATR(20), Swing 3.0×ATR(14)/5.0×ATR(28), or Custom.
- Gate and state model: flip-cluster suppression (2+ fast flips in 10 bars, on by default), the measured ADX gate (default "Where it helps (measured)"), and an optional strict higher-timeframe gate (off by default). The band turns grey NEUTRAL on low ADX (default ADX(14) < 20) or flip clustering.
- Higher-timeframe filter: a third Supertrend one regime up (auto-mapped ≤15m→4H, ≤1H→1D, ≤4H→3D, ≤1D→1W, else 1M; or manual), read from the last completed HTF bar.
- Statistics: on confirmed bars, every candidate — passed and suppressed — resolves N bars later (default 10); a win means the close moved in its direction. Splits grey below the minimum sample (default 20). Chip marks need their split to beat the base rate by ≥3 points (configurable); the ADX gate needs the high-ADX split to beat the low-ADX split by the same margin; volume confirmation is volume above 1.5× its 20-bar average.
- Ladder: at a passed signal's close, Entry is the close, SL is the slow-core stop (or the fast core, or a fixed k×ATR cap), TP1/2/3 default to 1/2/3 × ATR. It trails, marks TP touches ✓, freezes ✕ on an SL break, dims when resolved or consensus is lost, and feeds the per-grade LADDER ODDS rows. A live ladder tracks the right edge of the chart; once its stop is hit it stops there, so it stays a bounded record of that trade — targets it never reached are not credited later just because price eventually passed them, and the frozen right edge makes clear the trade was already over. The stop's ray spans only the stretch where that level was actually in force, because a trailing stop is a staircase rather than one line: on a long it starts below the entry and can ratchet above it, locking in profit, and the amber slow core shows the whole path. Each level prints its exact price on the price scale, so the figure for an order ticket reads straight off the axis while the chart labels stay short. The colours carry the geometry: entry green, the targets in the trade's own direction and the stop in the opposite hue, so the level that ends a trade never reads like the levels that pay it — and the slow core keeps its amber, so the stop stays distinguishable from the line it trails.
- Adaptive engine: a per-volatility-regime fast core A/B-measured against the fixed one, as described above; default factors are inert.
- MTF strip: five rows of full consensus state (UP / DOWN / SPLIT / NEUTRAL, with bars-in-state), each read from that timeframe's last completed bar. Auto mode starts at the chart's own timeframe and climbs — 4H gives 4H/D/W/M/3M. Lower timeframes are omitted by default: their consensus flips many times during a single trade taken here, so it says little about an outcome measured over days. Manual mode accepts any five, defaulting to the classic 15m/1H/4H/D/W.
🟦 HOW TO USE IT
- Read the panel first: consensus state, cores, regime, HTF agreement, then the measured rows. An ↑ means that condition has earned its margin on this chart; its absence means it hasn't.
- Chips carry their evidence: grade letter, live per-grade TP1 odds at sufficient sample, ✓ where volume has helped, ⚠ where fighting the higher timeframe has hurt. Ghost chips mean the script stood aside — the reason is on the chip.
- NEUTRAL and SPLIT mean stand aside. The coach line says this in plain language, and notes that a retouch of the entry after TP1 does not invalidate a live ladder — only the SL does.
- Reversal-only signal mode reserves the headline presentation for slow-core reversals; Discipline display mode strips the chart to the band alone (note: TP/SL alerts only fire while the ladder is drawn).
- Defaults are tuned on liquid crypto from 15-minute to weekly charts; the multipliers and ADX threshold are worth reviewing on other asset classes.
🟦 SETTINGS
Grouped as in the inputs dialog: consensus core (presets or custom multipliers) · higher-timeframe filter · state model & signal gate (ADX, flip-cluster, optional HTF gate, ghost chips) · trade ladder (SL geometry, TP multiples) · grade engine (certified or dynamic wiring) · adaptive engine · MTF strip · visuals and display modes · volume multiple (default 1.5×) · signal stats engine (horizon, minimum sample, gating margin) · JSON webhook alerts.
🟦 ALERTS
Consensus long / short · confirmed reversal long / short · Grade A long / short · TP1 / TP2 / TP3 touched · SL break · NEUTRAL started / ended · volatility regime changed · adaptive engagement changed. Create the classic alert conditions with "Once Per Bar Close" — they evaluate on live bars, and an intrabar state can revert before it counts. Optional JSON alert() events via a single "Any alert() function call" alert: signal events carry grade, entry and levels; TP/SL events identify the touched level; all carry symbol, timeframe, regime and state. The JSON events are close-gated and fire for every passed candidate, including rejoins the Reversal-only display mode demotes.
🟦 REPAINT & DATA NOTES
- All bookkeeping runs on confirmed bars; chips, ladders and statistics commit at bar close. Inside a forming bar the panel's consensus, cores, agreement, volume and coach line update live and are therefore PROVISIONAL — they can revert before the bar shuts. Price can also sit beyond a ladder's stop for the rest of a bar without resolving it: in the core SL modes the stop breaks when that core flips, which needs a confirmed close. The coach line says so when it happens.
- Higher-timeframe and strip values come from each timeframe's last completed bar — no repaint; intrabar changes up there show after that bar closes. The design assumes the HTF sits above the chart's timeframe — with Manual selection, keep it there.
- Ladder TP touches — and the Fixed mode's hard-stop touches — are detected from confirmed bars' highs/lows, starting the bar after entry; a bar touching several levels credits TPs before the stop. In the core SL modes the stop is not touch-based: it resolves only when its core flips, which needs a confirmed close — so a wick through the stop does not end a ladder, and the touch-credited TP rates are structurally friendlier than a hard-stop backtest of the same levels. The Fixed k×ATR mode is the geometry closest to a real hard stop.
- Statistics cover the loaded history and reset when the chart reloads with different history; lower timeframes load fewer bars. Greyed rows just mean the sample is too small to trust.
- Only the most recent 250 chips and ghost chips stay on the chart, so a live ladder's own labels can never be pushed off by PulseWire's drawing limit; deep history keeps its band and cores but not its markers. Ladder odds count each ladder when it resolves, and in the rare case that more than 30 are open at once the oldest is counted at its current state rather than discarded — the sample is never silently trimmed.
- On a live bar the volume ratio is partial; judge it near the close. Volume features require a feed that supplies volume.
🟦 CREDITS
The Supertrend concept is public domain (popularized by Olivier Seban); ATR, ADX and the DMI are J. Welles Wilder's. The fixed cores use PulseWire's built-in ta.supertrend(); the adaptive core re-implements the same algorithm to accept a per-bar factor. The consensus model, candidate classes, statistics engine, gates, grades, measured ladder, ghost chips, strip and band rendering were written from scratch for this script.
🟦 LIMITATIONS
- Supertrend lags by construction, and requiring two cores to agree makes entries later still — fewer, later, more heavily filtered signals is the intended trade-off.
- The NEUTRAL state derives from lagging measures (ADX, flip counts), so the first signals of a new trend can still arrive grey or be suppressed.
- All statistics are direction-only measurements over a fixed horizon; ladder odds are level measurements (TPs credit on a wick touch, core-mode stops resolve only on a confirmed core flip) — no fees, slippage, sizing or equity math. They are not a strategy backtest, they differ per symbol and timeframe, and they do not predict future outcomes.
- Without volume data the volume filter and its split stay inactive, and certified Grade A (confirmation + volume) is out of reach — signals cap at Grade B on volume-less feeds. Sample sizes on higher timeframes are structurally small; expect greyed rows there.
- The same asset on two different venues can show opposite states. A Supertrend flip is a threshold event: when price sits within a fraction of a percent of the band, a normal inter-exchange spread of a few basis points decides whether it crosses, and once one venue flips its stop jumps to the other side of price, so two nearly identical charts diverge sharply. This is inherent to the calculation, not a data error — treat a signal as belonging to the feed it was measured on, and check the panel's sample sizes on the venue you actually trade.
🟦 DISCLAIMER
This is an educational analysis tool, not investment advice. Historical measurements, however carefully computed, do not predict future results. Trading involves substantial risk.
Indicator
Chandelier Exit Trend Navigator [MarkitTick]💡 A trend-following overlay that tracks directional shifts using a volatility-adaptive channel (Chandelier Exit methodology) and converts each flip into a fully structured trade plan — entry, stop-loss, and three R-multiple take-profit levels — displayed directly on the chart alongside a live status dashboard.
✨ Originality and Utility
While the Chandelier Exit concept itself (anchoring a trailing stop to the highest high or lowest low over a lookback, offset by a multiple of ATR) is a well-documented volatility-stop technique, this script extends that foundation into a complete navigation system rather than a simple trailing line.
Three layers separate this tool from a stock Chandelier Exit plot:
An optional adaptive pre-filter (Kalman Filter or a slope-adjusted moving average referred to here as LLAMA) that can be applied to the source series before the channel extremes are calculated, allowing the trend anchor itself to react differently to noise depending on which filter is selected.
A full trade-management layer built on top of the directional flip: automatic stop-loss placement, three independently configurable take-profit levels defined in R-multiples, and live linefill zones that visually separate risk from reward.
A condition-stacking filter system (higher-timeframe EMA bias and ADX strength) that must all align before a directional flip is treated as an actionable signal, reducing signals generated during weak or conflicting conditions.
The combination is not an arbitrary mashup — the adaptive filter conditions the input to the channel calculation, the HTF/ADX filters condition which flips are considered valid, and the trade-management layer converts a validated flip into a concrete, risk-defined plan. Each component feeds the next in a single directional pipeline.
🔬 Methodology and Concepts
● Chandelier Exit Core
The core channel is built from Average True Range (ATR), calculated over a user-defined lookback. Two boundaries are computed each bar:
A long-side stop, set below the highest value of the source over the lookback period, offset by a multiple of ATR.
A short-side stop, set above the lowest value of the source over the same lookback, offset by the same ATR multiple.
Users can choose whether the highest/lowest calculation uses close-based extremes or true high/low wicks, which changes how sensitive the channel is to intrabar spikes.
A persistent trailing line then locks in the tighter of the two boundaries as price develops: while the current directional state is bullish, the line only ratchets upward (never loosening on a pullback); while bearish, it only ratchets downward. A directional flip occurs when price closes beyond the opposite boundary from the prior bar, at which point the trailing line resets to anchor the new trend.
● Adaptive Source Filtering
Before the channel extremes are calculated, the source price can optionally be passed through one of two smoothing methods:
Kalman Filter — a recursive estimator that updates its estimate of the "true" price each bar based on a prediction-error and gain calculation, converging faster in stable conditions and adapting more cautiously during volatile ones.
LLAMA — a linear-regression-style approach that takes a simple moving average of the source and adjusts it by the recent slope (rate of change) over the same lookback, projecting the average forward in the direction the price has been drifting.
When neither is selected, the raw close is used directly, preserving the traditional Chandelier Exit behavior.
● Confirmation Filters
Two independent filters can be layered on top of the raw directional flip before it is treated as a signal:
A higher-timeframe EMA bias filter, which only allows long signals when price is trading above an EMA calculated on a higher timeframe, and only allows short signals when price is trading below it.
An ADX-based strength filter, which requires the Average Directional Index to be at or above a user-defined threshold before any signal — long or short — is permitted, filtering out flips that occur during weak, non-trending conditions.
Both filters default to off and can be combined or used independently.
● Trade Level Construction
When a filtered directional flip is confirmed on a closed bar, the script anchors a trade plan to the prior bar's close:
Risk per trade is defined as the prior bar's ATR multiplied by a user-set stop-loss multiplier.
The stop-loss is placed one risk-unit away from the entry, in the direction opposite the trade.
Three take-profit levels are placed at independently configurable R-multiples of that same risk distance (default 1R, 2R, and 3R), each extending in the direction of the trade.
This means every signal comes with a symmetric, volatility-scaled risk framework rather than a fixed point value, so trade levels automatically widen or tighten with current market volatility.
🎨 Visual Guide
Heatmap Candles — the chart's candle bodies and wicks are recolored to match the current directional state: teal/green while the trailing system is bullish, red while bearish, and gray when direction is undetermined (e.g. on the very first bar).
Entry Line (blue, dashed) — marks the anchor price of the most recent confirmed trade signal.
Stop-Loss Line (red, solid, thicker) — marks the calculated stop price for the active signal, labeled "✕ SL" with its price value.
Take-Profit Lines (green, dashed, three separate levels) — TP1, TP2, and TP3, each drawn with progressively fuller opacity so TP3 is the most visually solid, labeled "◆ TP1", "✦ TP2", and "◆ TP3" respectively with their price values.
Risk Zone Fill — a light red shaded region between the stop-loss and entry lines, visually sizing the risk portion of the trade.
Reward Zone Fill — a light teal shaded region between the entry and TP3 lines, visually sizing the potential reward portion of the trade.
Dashboard Table — a repositionable panel (default top-right) summarizing, in real time: Lock status, current Trend direction, HTF Bias reading, the numeric CE trailing-stop level, current ATR value, and the active Entry/SL prices. When enabled, it also displays the current ADX reading and which adaptive filter (if any) is active. A visual bar-and-percentage gauge shows the reward-to-risk ratio of the current trade relative to TP3, colored red/yellow/green depending on how favorable it is.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
A directional flip in the heatmap candle color, together with a new Entry/SL/TP level set appearing on the chart, indicates a fresh signal in that direction.
The Stop-Loss line represents the level at which the trade thesis is considered invalidated under this system's logic.
TP1, TP2, and TP3 represent successive profit-taking references at increasing R-multiples; price reaching a level does not close or resize the plotted level automatically — it is a visual reference for scaling decisions.
The Risk and Reward zone fills give an immediate visual sense of the trade's risk framing without needing to read exact price values.
The Dashboard's R:R (TP3) gauge offers a quick read on how the reward potential compares to the initial risk for the most recent signal.
The Lock Signal input, when enabled, freezes the currently plotted levels in place and suppresses new signal generation — useful for reviewing a specific setup without the chart updating further trade plans in real time.
When the HTF or ADX filters are enabled but conditions aren't met, no new signal will fire even if the raw directional flip occurs — check the Dashboard's HTF Bias and ADX rows to understand why a flip may not have produced a signal.
⚙️ Inputs and Settings
ATR Len / ATR Mult — controls the lookback and volatility multiplier used to build the Chandelier channel; a longer length and/or larger multiplier produces a wider, slower-reacting trailing stop.
Use Close Extremes — toggles between close-based and high/low-based channel construction, changing sensitivity to intrabar wicks.
HTF Trend Filter / HTF TF / HTF EMA Len — enables and configures the higher-timeframe EMA bias filter that gates which direction of signal is permitted.
Use ADX Filter / ADX Threshold / ADX Length — enables and configures the trend-strength filter that must be satisfied for any signal to fire.
Adaptive Filter / Adaptive Filter Length — selects an optional smoothing method (Kalman Filter or LLAMA) applied to the source before channel calculation, and its lookback length.
Lock Signal — freezes the currently displayed trade levels and halts new signal generation.
SL ATR Mult — sets how many ATR units define one unit of risk for stop-loss placement.
TP1 R / TP2 R / TP3 R — sets the R-multiple distance for each take-profit level relative to the calculated risk.
Heatmap Candles / Show Trade Levels — toggle the directional candle coloring and the entry/SL/TP drawing layer independently.
Dash Pos — repositions the dashboard to any chart corner.
Color inputs — customize the bullish/bearish colors, stop-loss, entry, and take-profit line colors, and the dashboard's background, header, and text colors.
Alert action fields (Long/Short/Close Long/Close Short) — customize the text string sent in the "action" field of the JSON alert payload, useful for routing signals to automated systems expecting specific action keywords.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The trailing-stop core of this script belongs to a family of volatility-adjusted stop techniques that use Average True Range as a normalization factor for price movement, an approach popularized in trend-following and volatility-breakout literature as a way to size stops relative to an instrument's current, rather than fixed, volatility regime. Anchoring the stop to a rolling extreme (highest high or lowest low) rather than a fixed percentage or point distance reflects the broader class of "channel breakout" trend systems, in which a directional bias persists until price violates a level defined by recent extremes — a structure with roots in classical trend-following systems that predate modern indicator platforms.
The optional Kalman Filter smoothing draws on recursive Bayesian estimation theory, originally developed for tracking dynamic systems under measurement uncertainty. Applied to price, it treats each new close as a noisy observation of an underlying "true" value, blending the prior estimate with the new observation according to a gain term that adjusts based on estimated error — a formulation with parallels to adaptive filtering approaches used in signal processing and, more recently, in quantitative finance research on noise-reduction for price series.
The LLAMA-labeled alternative combines a simple moving average with a linear slope projection, conceptually related to local linear regression and momentum-adjusted smoothing techniques, where a lagging average is advanced along the estimated trend direction to partially compensate for the inherent lag of moving-average-based estimators.
The ADX-based strength filter draws on Welles Wilder's Directional Movement framework, which quantifies trend strength independently of trend direction; requiring a minimum ADX reading before accepting a signal reflects a common risk-management heuristic in trend-following systems — that directional signals generated during low ADX (ranging/choppy) conditions have historically shown less reliability than those generated during elevated trend strength, though this relationship is probabilistic rather than deterministic and varies across instruments and regimes.
The take-profit structure, expressed in R-multiples of the initial risk rather than fixed price or percentage targets, reflects standard position-sizing and risk-management theory in which trade outcomes are measured relative to the capital placed at risk, allowing performance to be evaluated on a risk-normalized basis rather than in absolute price terms.
⚠️ 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
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
EVA Ai+ Radar v25.2 Screener - Crypto & Stock LONG SHORT Si🧬 EVA Ai+ Radar — профессиональный рыночный скринер и индикатор для PulseWire, созданный для быстрого поиска перспективных торговых инструментов среди российских акций и популярных криптовалют.
Система одновременно анализирует до 20 активов, рассчитывает приоритет каждого инструмента и автоматически сортирует рынок по силе текущего движения. Вместо ручного переключения между графиками трейдер получает компактную премиальную панель с готовым рейтингом активов.
🔎 Что анализирует EVA Ai+ Radar
Для каждого инструмента рассчитываются:
направление краткосрочного и среднесрочного тренда;
положение цены относительно EMA;
сила тренда через ADX и DMI;
состояние RSI;
относительный торговый объём;
направленный рыночный поток Flow;
изменение цены;
итоговая сила и приоритет сигнала.
📊 Сигналы скринера
🟢 LONG — подтверждённое преимущество покупателей и восходящее направление.
🔴 SHORT — подтверждённое преимущество продавцов и нисходящее направление.
🟡 РАНО ↑ / РАНО ↓ — раннее формирование движения до достижения строгого порога основного сигнала.
⚪ НАБЛ. — инструмент пока не имеет достаточного преимущества для подтверждённого входа.
⚡ Два режима работы
RADAR — строгий режим для поиска подтверждённых сигналов LONG и SHORT.
РАНО — расширенный режим, дополнительно показывающий инструменты, в которых движение только начинает формироваться.
🛡️ Защита от перерисовки
По умолчанию скринер использует данные только закрытых свечей выбранного таймфрейма:
без lookahead_on;
без смещения сигналов в прошлое;
без перерисовки подтверждённых значений;
с безопасной обработкой недоступных торговых инструментов
🌍 Поддерживаемые рынки
🇷🇺 Российские акции Московской биржи:
Сбербанк;
Газпром;
Лукойл;
Роснефть;
Новатэк;
Норникель;
Полюс;
Татнефть;
ВТБ;
Яндекс.
₿ Криптовалюты:
Bitcoin;
Ethereum;
Solana;
BNB;
XRP;
Dogecoin;
Cardano;
Avalanche;
Chainlink;
Toncoin.
Все тикеры можно изменить в настройках индикатора.
⚙️ Основные возможности
✅ Скринер акций и криптовалют
✅ Одновременный анализ 20 инструментов
✅ Торговые сигналы LONG и SHORT
✅ Раннее обнаружение движения
✅ Автоматический рейтинг активов
✅ Анализ тренда, объёма, RSI, ADX и DMI
✅ Относительный объём и Flow
✅ Индикатор без перерисовки
✅ Настраиваемый таймфрейм
✅ Алерты PulseWire
✅ Премиальный интерфейс EVA
✅ Безопасная обработка недоступных тикеров
⚠️ Важная информация
EVA Ai+ Radar является аналитическим инструментом и не представляет собой инвестиционную рекомендацию. Сигналы индикатора необходимо оценивать совместно с рыночным контекстом, управлением капиталом и контролем риска.
🧬 EVA Ai+ Radar is a professional PulseWire market scanner designed to help traders quickly identify strong opportunities across major cryptocurrencies and Russian stocks.
The screener analyzes up to 20 markets simultaneously, calculates a priority score for every symbol, and automatically ranks instruments according to current trend strength and market momentum. Instead of manually switching between multiple charts, traders receive a compact premium dashboard with a structured market overview.
🔎 What EVA Ai+ Radar analyzes
For every selected symbol, the system evaluates:
short-term and medium-term trend direction;
price position relative to exponential moving averages;
trend strength using ADX and DMI;
RSI momentum;
relative trading volume;
directional market Flow;
price change;
final signal strength and priority score.
📊 Screener signals
🟢 LONG — confirmed bullish advantage and positive market direction.
🔴 SHORT — confirmed bearish advantage and negative market direction.
🟡 EARLY ↑ / EARLY ↓ — an emerging directional setup detected before the strict signal threshold is reached.
⚪ WATCH — the asset does not currently have enough directional advantage for a confirmed signal.
⚡ Two scanning modes
RADAR — strict mode designed to identify confirmed LONG and SHORT signals.
EARLY — expanded mode that also identifies assets where a new directional move may be starting.
🛡️ Non-repainting calculation
By default, the screener uses confirmed data from closed candles on the selected timeframe:
no lookahead_on;
no historical signal backfilling;
no repainting of confirmed values;
safe processing of unavailable or unsupported symbols.
If one selected ticker is temporarily unavailable, the remaining markets continue to be calculated normally.
💎 Premium EVA dashboard
The dashboard displays:
market ranking;
symbol;
LONG, SHORT, or EARLY signal;
signal strength;
percentage price change;
RSI and relative volume;
directional Flow;
number of active LONG, SHORT, and EARLY signals;
selected timeframe and calculation mode.
The visible list can be adjusted from 5 to 20 rows, while all enabled markets continue to be analyzed.
🔔 PulseWire alerts
The screener includes three alert conditions:
confirmed LONG signal detected;
confirmed SHORT signal detected;
EARLY directional setup detected.
Alerts can be configured using the standard PulseWire alert system.
🌍 Supported markets
🇷🇺 Russian stocks:
Sberbank;
Gazprom;
Lukoil;
Rosneft;
Novatek;
Norilsk Nickel;
Polyus;
Tatneft;
VTB;
Yandex.
₿ Cryptocurrencies:
Bitcoin;
Ethereum;
Solana;
BNB;
XRP;
Dogecoin;
Cardano;
Avalanche;
Chainlink;
Toncoin.
Every symbol can be changed through the indicator settings.
⚙️ Main features
✅ PulseWire stock and crypto screener
✅ Simultaneous analysis of 20 symbols
✅ LONG and SHORT trading signals
✅ Early trend detection
✅ Automatic market ranking
✅ Trend, volume, RSI, ADX, and DMI analysis
✅ Relative volume and directional Flow
✅ Non-repainting indicator
✅ Custom scanning timeframe
✅ PulseWire alerts
✅ Premium EVA interface
✅ Safe invalid-symbol handling
⚠️ Disclaimer
EVA Ai+ Radar is an analytical and educational tool. It does not provide financial or investment advice. Every signal should be evaluated together with market context, position sizing, risk management, and independent analysis. 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
NeuPortal Market Compass - Empirical Bands, Regime & IndicesNeuPortal Market Compass is a single overlay that instruments any symbol on any timeframe with three layers of context plus a readout dashboard, so you get the useful curves, the envelope, a forward band and the key indices from one indicator instead of stacking five.
WHAT IT DRAWS
1) Trend curves. EMA fast / mid / slow (20 / 50 / 200 by default) and an optional VWAP. The classic structure read at a glance.
2) Volatility envelope. A standard Bollinger band (20, 2 by default) for immediate context on how stretched price is right now.
3) Empirical forecast band. This is the part that is different. Instead of a sigma*sqrt(t) projection, it reads the distribution of the chart's OWN realised H-bar moves over the history window and takes quantiles from it: a core 50% zone (25th to 75th percentile), a wide 80% zone (10th to 90th) and the median, all projected forward H bars into empty space to the right of the last candle.
Why empirical rather than parametric: real markets have fat tails and volatility clustering, so a normal, independent-returns assumption misprices the interval - and it does so in different directions at different horizons. Reading the quantiles straight from history avoids that assumption entirely. The band is only as trustworthy as the sample behind it, so the dashboard prints the number of INDEPENDENT windows (history window / horizon), not the inflated overlapping count.
DASHBOARD (top-right, movable)
- Regime: trend direction from the EMAs, with strength gated by ADX
- RSI, ADX, ATR% - momentum, trend strength and volatility at a glance
- Median, Core 50% and Wide 80% band edges for the chosen horizon
- Band width as a percent of price - how much the market itself says it can move
- Independent windows behind the band - the honest sample size
HOW TO USE
Set the Horizon to how many bars ahead you care about and the History window to how much past data feeds the distribution. Watch coverage over time: across many bars, price should sit inside the 50% core about half the time and inside the 80% band about eighty percent of the time. A band that contains price far more often than that is padded; far less often is overconfident. Both are information.
SETTINGS
Toggle each layer independently (EMAs, VWAP, Bollinger, band, dashboard), set all lengths, recolour the zones, move the dashboard, and optionally tint the background Indicator
Poor trend[ALT_analyst]Poor trend
ATTENTION: This script is STRICTLY for market environment recognition (Regime Filter). It does NOT provide entry signals or trading recommendations.
■Overview
This indicator, "Poor trend ", is an administrative filter designed not to search for entry signals, but to logically validate and enforce the decision to "take no position."
In directional trading, significant drawdowns occur during low-quality, trendless environments. This script continuously quantifies market stagnation across five independent modules. By mathematically demonstrating the degradation of a directional edge, it provides an objective baseline to suppress unnecessary entries and avoid whipsaw losses.
■Mathematical Proof of Edge Degradation in "Poor Trends"
The mathematical edge of a directional strategy is governed by the Expected Value equation:
Expected Value = (Win Probability * Average Win) - (Loss Probability * Average Loss)
For directional trading (trend-following or breakout), a "Poor Trend" mathematically degrades this equation. When market action exhibits low volatility, restricted ranges, and low liquidity, the probability of a directional breakout (Win Probability) decreases. Simultaneously, the shrinking ATR compresses the potential profit margin (Average Win). As the Average Win approaches transaction costs (spread/commission) and the Win Probability drops, the Expected Value strictly converges toward a negative figure. This script objectively flags the exact parameters where this mathematical degradation occurs.
5 Danger Detection Modules (Calculation Logic & Output Examples)
The script evaluates five independent conditions to calculate a total "Danger Score" (0 to 5).
1. Lack of Trend (ADX)
Calculation Logic:
is_low_adx = adx < adx_threshold (Default: 20)
Why this calculation: The Average Directional Index (ADX) measures absolute trend strength. A value below 20 statistically demonstrates that price action is dominated by noise rather than a directional vector, lowering the Win Probability.
Actual Output Example: If the current ADX value is 15.5, the logic evaluates 15.5 < 20. This returns true (Boolean), adding 1 to the Danger Score.
2. Low Volume (SMA)
Calculation Logic:
is_low_vol = sma(volume, 20) < sma(volume, 50)
Why this calculation: Compares short-term versus long-term volume averages. A drop in short-term volume detects liquidity withdrawal from the market, mathematically increasing slippage risks and transaction costs.
Actual Output Example: If the 20-period SMA volume is 1,200 and the 50-period SMA is 1,500, the logic evaluates 1200 < 1500. This returns true, adding 1 to the Danger Score.
3. Volatility Shrinking (Z-Score)
Calculation Logic:
width_z = (st_width - width_mean) / width_std < 0.0
Why this calculation: Standardizes the current ATR band width against its 50-period history using a Z-score. A negative Z-score proves statistical volatility compression, severely limiting the Average Win potential.
Actual Output Example: If the current band width is 10, the 50-period mean is 15, and the standard deviation is 5. The Z-score is (10 - 15) / 5 = -1.0. Since -1.0 < 0.0, it returns true, adding 1 to the Danger Score.
4. Unstable Direction (Whipsaw)
Calculation Logic: flip_count >= whip_threshold (Default: 3)
Why this calculation: Counts how many times the Supertrend direction has flipped over the last 20 periods. Frequent flips empirically prove directional instability and high whipsaw risk.
Actual Output Example: If the Supertrend has changed direction 4 times within the last 20 bars, the logic evaluates 4 >= 3. This returns true, adding 1 to the Danger Score.
5. Price Stuck (Trapped Inside Bands)
Calculation Logic:
is_trapped = (high < upperBand) and (low > lowerBand)
Why this calculation: Confirms both the high and low of the current candle are completely confined within the ATR boundaries. This proves zero momentum exists to break statistical limits.
Actual Output Example: If the Upper Band is 110, Lower Band is 90, Candle High is 105, and Candle Low is 95. The logic evaluates (105 < 110) and (95 > 90). Both are true, returning true, adding 1 to the Danger Score.
■Visual & UI Specifications
Danger Ribbon: The space between the Normal and Inverse lines fills with color based on the Danger Score (1: Yellow to 5: Dark Red). A score of 0 ("PEACE") renders the ribbon fully transparent.
Sparse Labels: To eliminate chart clutter, status labels ("WAIT", "STOP", "MAX DANGER") are strictly plotted only on the exact bar where the Danger Score increases or resets to 0.
Dashboard Table: A real-time matrix at the bottom right displays the precise binary status ("DETECTED" or "CLEAR") of all 5 modules, providing instantaneous administrative clarity on market conditions.
■Operating Policy
When the Danger Score is active (Ribbon is colored, modules are DETECTED), the statistical Expected Value for directional trading is compromised. Utilize this indicator strictly as an objective administrative filter to halt new entries and justify capital preservation.
Disclaimer
The information and scripts provided in this publication are for educational and informational purposes only. They do not constitute financial, investment, or trading advice. Trading in financial markets involves a high degree of risk, and you may lose some or all of your capital. Past performance is not necessarily indicative of future results. The author assumes no responsibility or liability for any trading losses incurred as a result of using this script. Please conduct your own due diligence and make trading decisions at your own risk.
Indicator
OBV Signal Confluence [MarkitTick]💡 This advanced technical utility provides a comprehensive evaluation of market momentum by synthesizing cumulative volume flow with structural trend dynamics and dynamic support levels. Designed for rigorous market analysis, it evaluates directional shifts by demanding strict confluence across multiple dimensions, including momentum divergence, historical trend validation, and volatility expansion. Rather than relying on isolated price action, this tool builds a holistic profile of market participation, delivering a complete framework for structured trade management and robust signal verification.
● ✨ Originality and Utility
Most traditional momentum oscillators evaluate price velocity in a vacuum, completely ignoring the underlying participation required to sustain a trend. This utility stands apart by merging volume-weighted momentum with strict filtering mechanisms to evaluate the true strength of a market move. By integrating a multi-tiered filtration system, it effectively isolates high-probability directional shifts while filtering out low-participation market noise.
The utility is entirely self-contained, projecting dynamic trade management levels directly onto the chart when momentum alignment is confirmed. It seamlessly bridges the gap between raw data analysis and actionable trade management. By establishing precise entry, invalidation, and multiple target zones based on current market volatility, it transforms raw volume data into a structured operational blueprint.
Furthermore, the inclusion of a comprehensive heads-up display ensures that all underlying metrics—from momentum strength to historical trend states—are continuously aggregated and visually accessible, allowing for rapid contextual assessment without cluttering the primary analytical workspace.
● 🔬 Methodology and Concepts
This tool operates on a sophisticated, multi-layered evaluative engine. To protect the integrity of the underlying architecture, the methodology is described conceptually:
Cumulative Volume Flow: The primary engine evaluates the continuous flow of market volume, categorizing buying and selling pressure based on specific price action thresholds. This cumulative data is then smoothed against a dynamic, user-selectable baseline to establish the core momentum trajectory.
Higher Timeframe Confluence: To prevent acting on insignificant intraday fluctuations, the engine references the structural momentum of a higher timeframe. Signals are strictly gated unless the localized momentum aligns with this broader, macro-level directional bias.
Momentum Divergence Detection: The utility continuously scans for structural discrepancies between price pivot extremes and the corresponding extremes in the volume flow. When price establishes new structural boundaries without validating volume participation, the system flags these areas as potential exhaustion or reversal zones.
Volatility and Participation Filters: Trend strength and volume ratios are continuously measured against established historical averages. The engine requires both a minimum threshold of directional strength and a surge in relative volume participation to validate any momentum shift, ensuring that structural breaks are supported by actual market activity.
Dynamic Risk Profiling: Upon signal confirmation, the tool automatically calculates an invalidation level utilizing a multiplier of the underlying asset's average true volatility. Profit targets are then extrapolated from this established risk parameter, ensuring that every projected setup adheres to strict, predefined risk-to-reward ratios.
● 🎨 Visual Guide
The visual interface is designed to provide immediate contextual awareness while maintaining a clean charting environment:
Momentum Histogram: Plotted as columns, this visualizes the delta between the cumulative volume flow and its dynamic baseline. Color intensity shifts dynamically to reflect both the direction and the immediate acceleration or deceleration of the momentum.
Heat Candles: When enabled, this feature overrides the native chart candles, painting the price action to match the underlying volume momentum state, allowing for rapid visual confirmation of the current trend environment.
Divergence Markers: Distinct upward and downward triangular shapes are plotted directly on the chart to indicate areas where structural price action has diverged from the supporting volume flow.
Trade Management Levels: Upon a confirmed momentum shift, dashed horizontal lines appear to project the Entry, Stop Loss (SL), and three tiered Take Profit (TP) zones.
Risk/Reward Shading: Shaded background zones visually map the risk parameters, contrasting the invalidation zone against the projected reward territory to provide an immediate assessment of the trade's structural viability.
Heads-Up Dashboard: A customizable table anchored to the chart corner. It provides a real-time aggregate readout of all critical internal metrics, including current trend state, raw momentum values, divergence status, participation ratios, and active trade progression percentages.
● 📖 How to Use
Establish Context: Monitor the Heads-Up Dashboard to evaluate the current macro trend state and participation ratios. Wait for the dashboard to indicate alignment between directional momentum, volume participation, and trend strength.
Identify Confluence: Look for structural momentum shifts indicated by the histogram crossing its zero-line, strictly validated by the alignment of the Heat Candles. Divergence markers appearing prior to these shifts serve as early warning signs of an impending structural rotation.
Signal Confirmation: Wait for the current bar to close. The utility is engineered to execute calculations on confirmed data to ensure structural stability. A confirmed signal will instantly plot the dynamic trade management levels.
Execute and Manage: Utilize the projected Entry, Stop Loss, and Take Profit levels to structure your position. The Risk/Reward shading and the progress tracker on the dashboard will provide continuous feedback as the price action develops toward the established targets.
Alert Integration: For automated tracking, configure the built-in alert conditions which generate structured data payloads for long entries, short entries, position closures, and individual target strikes.
● ⚙️ Inputs and Settings
Core: Define the source data for momentum calculations and select the preferred baseline calculation method and lookback length. This also includes the pivot length for divergence detection.
Filters: Activate and calibrate the higher timeframe alignment constraints. Set the specific lengths and minimum thresholds for directional strength and volume participation multipliers to strictly define what constitutes a valid breakout.
Trade: Toggle the visibility of the dynamic management levels. Adjust the volatility lookback, the invalidation multiplier, and customize the exact risk-to-reward ratios for all three projected profit targets.
Vis: Control the visual clutter by toggling the histogram, zero line, divergence signals, and heat candles on or off according to personal preference.
Dash: Enable or disable the Heads-Up Dashboard and anchor it to any of the four chart corners for optimal workspace organization.
Alerts: Define custom action strings and dynamic payload identifiers to integrate seamlessly with external execution engines or tracking software.
Colors: Fully customize the aesthetic profile of the indicator. Modify the specific hex values and opacities for the histogram states, trade levels, risk shading, divergence markers, and the internal dashboard elements to match your charting theme.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The foundation of this utility is deeply rooted in the principles of Auction Market Theory and the Law of Effort versus Result. In any financial market, price discovery is driven by the continuous auction process between buyers and sellers. However, price alone is a one-dimensional metric. Volume represents the actual energy or "effort" expended to move that price. By systematically analyzing the relationship between price displacement and volume flow, this tool effectively maps the true liquidity absorption within the market.
When a market establishes a new structural price extreme, fundamental market mechanics dictate that this move must be supported by an equivalent expansion in volume participation. If the aggregate volume flow begins to decelerate while price continues to advance, a structural divergence is formed. This indicates a severe lack of liquidity supporting the current auction, highlighting an area where the prevailing trend is highly vulnerable to mean reversion or a complete structural failure.
Furthermore, the integration of volatility-based risk profiling adheres to established quantitative risk management principles. Market volatility is not static; it constantly expands and contracts in cyclical phases. By anchoring invalidation levels to a dynamic multiplier of average true volatility, the utility ensures that risk parameters adapt to the current market environment. This prevents premature invalidation during periods of high liquidity expansion while maintaining tight structural constraints during periods of market consolidation.
⚠️ 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
Confluence Suite: Pivot Points SuperTrend Confluence Suite: PP SuperTrend + VWAP + MACD + RSI + ADX + Volume
A multi-factor confluence dashboard built around Pivot Point SuperTrend, designed for futures trading on any timeframe.
Overview
This indicator combines six widely-used tools into a single confluence system with a live on-chart dashboard:
Pivot Point SuperTrend — the core trend/entry engine, using pivot highs/lows instead of a simple moving midpoint to anchor its ATR bands
VWAP — session-anchored, used to gauge whether price is trading with or against the volume-weighted average
MACD — momentum confirmation and early continuation signals
RSI — momentum/overbought-oversold context
ADX / DMI — trend-strength filter, so signals can be weighted by whether the market is actually trending or chopping
Volume — flags above-average participation and volume spikes
Higher-timeframe (HTF) bias filter — checks trend direction on a higher timeframe (EMA-based or ATR SuperTrend-based) before treating a signal as confirmed
All of this feeds a compact on-chart dashboard table that shows the live bias of every component at a glance, plus a running bullish/bearish confluence score.
How signals work
Raw flip signals — small triangles mark every Pivot Point SuperTrend direction flip
Confirmed signals — larger LONG/SHORT labels fire when a flip is also aligned with the HTF bias filter (and optionally ADX strength), meant to filter out lower-quality flips
Continuation signals — smaller circular markers that fire while an existing trend is still active, triggered by a pullback-and-reclaim of a short EMA, an RSI reset through 50, or a MACD cross (configurable), so the tool isn't limited to a single signal per swing
Dashboard
A table (position and size configurable) shows the current bias of PP SuperTrend, VWAP, MACD, RSI, ADX, Volume, HTF Bias, and Continuation mode, along with an aggregate bull/bear confluence count — useful for judging signal quality at a glance rather than reading each indicator separately.
Inputs
Every component is independently configurable: Pivot Point period, ATR factor/period, VWAP source, MACD lengths, RSI length/levels, ADX/DMI length and strength threshold, volume MA length and spike multiplier, HTF timeframe and bias method, continuation trigger type and cooldown, and dashboard placement/size. Built-in alert conditions are included for raw flips, confirmed signals, and continuation signals.
How to use it
This is a discretionary confluence tool, not a standalone automated strategy. It's best used to:
Gauge whether a Pivot Point SuperTrend flip has broader support from momentum, volume, and higher-timeframe trend before acting on it
Track ongoing trend health via the continuation signals and dashboard, rather than only reacting at the initial flip
Filter out lower-quality setups using the ADX and HTF alignment options
As with any indicator, backtest and forward-test on your specific instrument and timeframe before trading it live, since default settings won't be optimal for every market or volatility regime.
Credits and originality
The core trend engine is an original implementation of the Pivot Point SuperTrend technique, a widely used community approach that anchors SuperTrend-style ATR bands to pivot highs/lows rather than a simple moving midpoint — a method popularized on PulseWire by LonesomeTheBlue. This script's contribution is combining that engine with VWAP, MACD, RSI, ADX, volume, an HTF bias filter, a continuation-signal engine, and a unified live dashboard into one integrated confluence tool, rather than requiring multiple separate indicators on the chart.
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading futures involves substantial risk of loss and is not suitable for all investors. Past performance of any strategy or setup does not guarantee future results. Always do your own research and risk management before trading. Indicator
Regime Ribbon + CompassTraditional ADX asks you to read three tangled lines at once — +DI, −DI, and the ADX line — and combine them in your head in real time. This tool collapses all three into a single, intuitive read: direction by color, trend strength by height. No sub-pane needed — the entire regime picture lives right on your price chart.
◈ WHAT IT DOES
The Regime Ribbon recolors a smoothed baseline directly on your candles: green when the directional index confirms an uptrend with strength, red for a downtrend with strength, and muted gray during low-ADX chop. An optional faint background tint reinforces the current regime at a glance.
The Regime Compass — a floating right-edge gauge — turns the same read into a live instrument you can check at a glance:
Fill direction shows who's in control: the meter fills upward from its midline when bulls lead (+DI over −DI) and downward when bears lead (−DI over +DI).
Fill color matches the regime: green for an up-regime, red for a down-regime, dim gray during chop.
Fill height encodes conviction: the stronger the trend (higher ADX), the further the meter fills toward its pole. A weak or ranging market barely lifts off the midline; a powerful trend pushes the fill close to the edge.
Bull / Bear poles mark the top and bottom of the gauge so you always know which way is which.
A live readout on the meter prints the current state and ADX value — for example "▲ TREND 34", "▼ TREND 28", or "◈ CHOP 12" — and a light-blue dashed midline marks the neutral point.
One glance answers both questions traders normally have to compute from three separate lines: which way, and how much to trust it. The gauge floats to the right of the last candle so it never sits on top of your price action, and it can be slid further out to taste.
An on-chart dashboard ties everything together in one row along the bottom of the chart — no separate pane. Each cell is a live readout:
REGIME — the current state in plain terms: BULL ▲, BEAR ▼, or CHOP ◈, colored to match.
ADX — the raw ADX value plus a word for context: WEAK (below the trend threshold), TREND (trend confirmed), or STRONG (a powerful move).
STRENGTH — a compact bar that fills with ADX, so you can gauge trend power without reading the number.
+DI — the positive directional value (up-pressure).
−DI — the negative directional value (down-pressure).
BALANCE — the two directional values distilled into a single signed percentage. Positive means bulls lead, negative means bears lead, and the size shows how lopsided it is. This is the "collapsed" read at the heart of the tool.
TP/SL — the take-profit and stop-loss distances currently configured, with their unit (percent or ATR).
COOLDOWN — how many bars remain before a new signal is allowed, or "clear" when it's ready.
STATUS — the current position state: FLAT, LONG ●, or SHORT ●.
Together the ribbon, compass, and dashboard give you the full regime picture — direction, strength, the underlying directional balance, your trade parameters, and current state — all on the price chart, readable in a single glance.
◈ HOW TO USE
Read it in two steps — direction, then conviction:
Ribbon and compass green with the meter filling high → an uptrend with conviction. Continuation-style approaches tend to suit these conditions, and the taller the compass fill, the more decisive the move.
Red with the meter filling low → a downtrend with conviction.
Ribbon dim gray and the compass short (hugging the midline) → ADX is low; a chop/range regime where trend-following is prone to whipsaw and range tactics tend to fit better. Many traders simply stand aside here.
Watch the BALANCE cell and the compass together: when balance swings from negative to positive (or vice-versa) and the compass starts filling with height, that's the regime waking up — the shift from chop into a directional move.
Optional markers and funnel labels highlight the exact moment the regime flips into a confirmed strong trend, drawing example take-profit and stop-loss reference levels on the chart so you can see the setup framed end to end.
A practical workflow: use the ribbon for your at-a-glance bias, the compass for how much weight to give it, the BALANCE cell to spot early shifts, and the STATUS/COOLDOWN cells to keep your own entries disciplined.
◈ SETTINGS
Regime Engine — DI Length, ADX Smoothing, Trend Threshold (the ADX level separating trend from chop), Strong-Trend level.
Regime Ribbon — baseline length, background tint toggle.
Regime Compass — right-edge offset, width, height (in ATR).
Trade Levels — TP/SL in Percent or ATR, ATR length, TP/SL box toggle.
Risk Management — cooldown between signals, max bars in trade, optional EOD flatten window.
Webhook — optional alert payload with a configurable strategy ID.
Dashboard — on/off.
◈ NON-REPAINTING
All signals evaluate only on confirmed (closed) bars, and every directional value is read from closed bars — so a signal that prints will not disappear or shift intrabar. Entry logic arms on the signal bar's close and references the next bar's open, matching realistic order timing. No future data is used anywhere in the logic.
◈ DISCLAIMER
This script is a technical-analysis tool provided for educational and informational purposes only. It is not financial advice, does not predict future price movement, and does not guarantee any outcome. Trading carries a substantial risk of loss. Always do your own research and manage your own risk. The past behavior of any indicator or market condition does not indicate future results. Indicator
XG Boost Lite: Reversals | GainzAlgoWe are excited to release this indicator, which uses our brand-new Arbor library for gradient boosting! This engine brings true, high-performance machine learning natively into Pine Script v6, bypassing the need for external webhooks or API layers. By utilizing iterative, tree-based models on your chart, XGBoost Lite: Reversals adapts directly to the historical structure of the asset you are trading, identifying precise pivot exhaustion points with high statistical conviction.
🧠 Understanding Gradient Boosting & XGBoost
To trade successfully with machine learning, it helps to understand exactly what is happening beneath the hood of the asset's data.The Core TheoryGradient Boosting is a powerful machine learning technique used for regression and classification tasks. Unlike deep learning networks that process data through abstract node layers, gradient boosting relies on an ensemble of simple decision trees, often called "weak learners" or "stumps".
The training process works sequentially:
The Initial Guess: The model makes a basic baseline prediction.Calculating the Error (Residuals): It checks where its prediction missed the actual historical market outcome.
Correcting the Mistakes: A new decision tree is built specifically to predict those errors (the gradient of the loss function).
Iterative Learning: The model repeats this process for several rounds. Each new tree focuses entirely on correcting the flaws of the previous ones, scaling its adjustments by a Learning Rate to maintain stability.
What Makes XGBoost Special?
XGBoost (Extreme Gradient Boosting) optimizes this framework for speed, scalability, and performance. It applies strict regularization techniques to minimize overfitting, ensuring the model doesn't just "memorize" past market noise but instead learns genuine structural behaviors.By evaluating multiple market features simultaneously, it estimates the probability of a specific event occurring.
🛠️ About the Indicator
XGBoost Lite: Reversals is a machine learning-driven technical indicator designed to catch exhaustion and reversal setups.
The Machine Learning Pipeline
Dual Engines: The script fits four separate models simultaneously—a classifier and a regressor for Longs, and a classifier and a regressor for Shorts.
Dynamic Retraining: Rather than remaining static, the model automatically flushes its memory and retrains its internal mathematical weights every n bars to adapt to evolving market regimes.
Strict Non-Repainting Execution: A critical upgrade in this framework forces features and calculations to compute and lock strictly on bar close. Signals, dynamic entry points, and risk metrics are only printed once the triggering candle is finalized, ensuring what you see on the historical chart matches real-time execution perfectly.
The Core Features Evaluated
The model processes a combination of multi-dimensional market inputs to generate a unified prediction:
RSI (14): Evaluates traditional momentum expansion and contraction.
Relative Volume (20): Evaluates institutional engagement by dividing current volume against its 20-period SMA.
Z-Score (20): Measures how far the current price has deviated from its statistical mean.
ADX (14): Gauges the overall strength of the macro trend to prevent trading directly into a runaway freight train.
📊 How to Use the Indicator
The Real-Time Dashboard: When applied to your chart, the indicator renders an advanced Feature Importance Scatter Plot in the right-hand margin.
Distribution Scatter: The horizontal bars plot the historical density of successful signals. Darker, tightly packed nodes represent highly concentrated, high-probability clusters discovered by the algorithm.
Visualizing Signals
When a market pivot is detected (e.g., a structural swing low or high) and the classifier hits your target confirmation probability, a signal arrow prints on the chart displaying the mathematical certainty ($e.g., 74.2\%$) of the reversal.
⚙️ The Settings Inputs
The indicator’s interface is neatly categorized into three primary functional groups:
⚙️ XGBoost Model Settings:
Training Lookback (Bars): (Default: 250) The historical window used to feed the training arrays. Max capped at 300 to remain computational within Pine Script limits.
Retrain Frequency: (Default: 50) Determines how often (in bars) the model recalibrates its trees. Boosting Rounds: (Default: 20) The number of sequential trees (stumps) trained per model. Higher numbers capture deeper complexities but risk overfitting.
Learning Rate: (Default: 0.3) The step size applied to each boosting round to prevent the model from learning too quickly. Min Probability for Signal: (Default: 0.65) The minimum confidence threshold ($65\%$) required from the classification model to trigger an active trade.
ADX Length / Minimum Filter: (Default: 14 / 20.0) Prevents counter-trend signals if the prevailing macro trend is too strong.
🛡️ Target & Risk Management
SL Wick Buffer ×ATR: (Default: 0.25) Sets how much breathing room is given below a swing low wick or above a swing high wick, scaled by ATR.
TP1 ×Risk (R-multiple): (Default: 1.0) Targets a clean 1:1 Risk-to-Reward ratio for the initial profit take.
TP3 Min ×Risk (Floor): (Default: 2.0) The minimum target floor for the machine learning regression objective.
Break-Even After TP1: (Default: True) Automatically moves the Stop Loss to the exact entry price the moment TP1 is captured, eliminating risk on the remainder of the trade.
📈 How to Trade the Indicator
Trading with the machine learning model requires blending quantitative probabilities with standard structural execution:
The Entry: Wait for a Bullish (Neon Purple) or Bearish (Neon Pink) arrow to finalize on a closed candle. The percentage printed indicates the model's confidence.
Placing Risk: The system automatically draws a solid line anchoring your Stop Loss tightly to the local structural wick pivot, applying an ATR buffer to account for minor noise.
Scaling Targets:
Target 1 (TP1): Landed at a symmetrical 1:1 distance. When hit, the indicator dynamically updates your Stop Loss to your entry line, locking in a "scratch-or-better" runner.
Target 2 (TP2): Represents the mathematical midpoint between your baseline risk and the macro ML objective.
Target 3 (TP3): Driven directly by the XGBoost Regression Model. The regressor estimates the potential mathematical expansion based on current market features—if volatility is expanding, TP3 will automatically stretch further to ride major trend changes.
📊 Deep Dive: The Feature Importance & Scatter Plot Dashboard
The dashboard rendered on the right side of the chart acts as the "brain" of the indicator. It provides real-time transparency into exactly how the machine learning model is weighing data and evaluating current market conditions.
Feature Importance Bars (The Relative Weights): The horizontal progress bars display the mathematical percentage weight allocated to each of the four indicators processed during the model's most recent training cycle. These values change dynamically every time the model triggers a retraining block (default: every 50 bars) as it adapts to shifting market conditions. For example, if the market moves into a heavy trending phase, you will notice metrics like the ADX or Z-Score capture a higher percentage of the model's attention, whereas the RSI will frequently become the dominant driver if the asset is range-bound.
The Holographic Scatter Plot (Historical Feature Density): Layered over the progress bars is an advanced distribution scatter plot consisting of individual circular glyphs (○, ◉, ●) that plot a rolling record of the last 30 historical signal points. The horizontal position of each dot shows exactly where the feature value landed relative to its historical extremes (0 on the far left, 1 on the far right). The script introduces a subtle vertical "jitter" to separate these dots so you can visually identify high-density clusters where successful reversal setups frequently occur, while the shifting style of the glyphs flags tightly packed clusters of solid nodes (●) to indicate highly concentrated mathematical sweet spots discovered by the XGBoost classifier.
Indicator
Supertrend - EMA Cloud - Divergence - ADX [StrixEDGE]Overview
Apex Trend Engine is a 5-layer confluence system that combines trend-following, momentum, and reversal detection into a single overlay indicator. Each layer operates independently and feeds into a unified scoring engine that generates high-conviction BUY and SELL signals only when multiple confirmations align.
Layer 1 — Supertrend (Trend Direction)
An ATR-based adaptive trend filter that hugs price during trends and flips cleanly on reversals. The Supertrend line is plotted directly on the chart with a subtle fill between price and the stop level, making the current trend direction visible at a glance.
Bull & Bear SuperTrend :
Layer 2 — EMA Cloud (Momentum & Entries)
A fast/slow EMA pair (default 9/21) with a filled cloud between them. The cloud color shows momentum direction: green when fast EMA is above slow, red when below. Crossovers serve as entry triggers when confirmed by other layers.
Bull & Bear EMA :
Layer 3 — RSI Divergence Scanner (Reversals)
Automatic detection of regular bullish and bearish divergences between price and RSI using pivot-confirmed swing points. When price makes a lower low but RSI makes a higher low, a bullish divergence line is drawn on the chart. The reverse for bearish.
Bull Div.
Bear Div.
Layer 4 — ADX Trend Strength (Filter)
The Average Directional Index measures whether the market is trending or ranging. ADX above the threshold (default 25) confirms a trending market. The directional indicators (DI+ vs DI-) determine if the trend is bullish or bearish.
Bull & Bear ADX :
Layer 5 — Combined Signal Engine
Each layer contributes one point to a bull score and one to a bear score (5 points maximum each):
Point 1 — Supertrend direction
Point 2 — EMA fast/slow alignment
Point 3 — Price position relative to 200 EMA
Point 4 — Recent RSI divergence (within 20 bars)
Point 5 — ADX trending with directional confirmation
Signal generation requires both a score threshold AND a trigger event:
STRONG BUY — 4 or more bullish points with an EMA crossover or Supertrend flip
BUY — 3 or more bullish points with a trigger
STRONG SELL — 4 or more bearish points with a trigger
SELL — 3 or more bearish points with a trigger
This dual requirement (score plus trigger) prevents signals from firing on every bar during a trend and limits them to actionable moments.
Chart visuals
Supertrend: colored line with transparent fill to price showing the trend zone
EMA Cloud: fast and slow EMA lines with filled cloud between them
EMA 200: gold line for macro trend reference
Divergence lines: green lines connecting bullish divergence pivots, red for bearish
Signal arrows: double arrows for strong signals, single triangles for regular
Background highlight: subtle bar coloring on strong signal bars
Dashboard table
The on-chart dashboard shows each layer's current reading:
Supertrend — stop level and direction
EMA Cross — values and cross status
EMA 200 — value and price position
RSI — value with overbought/oversold warnings
Divergence — type and how many bars ago
ADX — value with trending/ranging status
Score — X/5 BULL and X/5 BEAR
Signal — combined verdict
Settings
Every component is independently configurable with sensible defaults:
Supertrend: ATR length 10, multiplier 3.0
EMA Cloud: fast 9, slow 21, trend 200
RSI Divergence: length 14, pivot lookback 5
ADX: length 14, smoothing 14, trending threshold 25
Signals: buy/sell arrows and background highlights toggleable
Dashboard: position and text size adjustable
Alerts : 10 alert conditions covering every signal type:
Strong Buy, Buy, Strong Sell, Sell
Supertrend flip bullish/bearish
EMA cross up/down
Bullish/Bearish divergence detected
Disclaimer
This indicator is a technical analysis tool for educational and informational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and never risk capital you cannot afford to lose. Indicator
Strength - Filtro RupturaEste indicador colorea las velas en función de la confluencia entre el momentum del precio (Williams %R) y la fuerza de la tendencia (ADX), actuando como filtro de confirmación para rupturas del rango de apertura.
¿Cómo funciona?
Combina dos indicadores clásicos con una lógica específica:
Williams %R identifica la zona en la que se encuentra el precio (sobrevendido, neutro, sobrecomprado) y la dirección del momentum en ese momento
ADX confirma que la tendencia tiene fuerza real detrás — si el ADX no está creciendo, la vela queda gris sin importar el momentum
La regla base es simple: sin fuerza no hay señal. El color gris significa "no operar".
Paleta de colores — Confirmación ALCISTA (usar con ruptura del ORB High)
🟢 Verde brillante — Williams %R por debajo de -50 y girando al alza con ADX creciente. Reversión desde zona de sobreventa con fuerza confirmada. La señal más potente al alza.
🟢 Verde medio — Williams %R entre -50 y -27, subiendo con ADX creciente. Continuación alcista en zona neutral con momentum sostenido.
🟢 Verde oscuro — Williams %R por encima de -27, subiendo con ADX creciente. Precio en zona alta con momentum extremo sostenido. Señal de continuación, operar con precaución.
Paleta de colores — Confirmación BAJISTA (usar con ruptura del ORB Low)
🔴 Rojo brillante — Williams %R por encima de -50 y girando a la baja con ADX creciente. Giro bajista desde zona neutral o alta con fuerza confirmada. La señal más potente a la baja.
🩷 Rosa/Fucsia — Williams %R entre -50 y -72, bajando con ADX creciente. Continuación bajista con presión sostenida.
🟤 Marrón oscuro — Williams %R por debajo de -72, bajando con ADX creciente. Sobreventa extrema con caída sostenida. Señal de continuación, mercado en presión vendedora fuerte.
⬜ Gris — No operar
Cuando el ADX no está creciendo, la vela se colorea en gris. Sin fuerza direccional confirmada, cualquier ruptura puede ser falsa. Este filtro es el núcleo del indicador.
Uso recomendado con ORB V2
Este indicador está diseñado para trabajar en conjunto con ORB V2 (también disponible en mi perfil). El flujo es el siguiente:
ORB V2 define el rango de apertura y marca el High y Low del período inicial
Cuando el precio rompe ese rango, Strength - Filtro Ruptura confirma o descarta la ruptura según el color de la vela en ese momento
Solo las rupturas acompañadas de velas verdes (al alza) o rojas (a la baja) tienen confirmación de fuerza real
Las rupturas sobre velas grises se ignoran — son el tipo de fakeout que este filtro busca eliminar
Juntos forman un sistema simple y visual: el ORB marca el nivel, Strength confirma si vale la pena operarlo. Indicator
Helix Lucky MTF Bias and Breakout DashboardHelix Lucky MTF Trend and Breakout Dashboard
📊 Overview
Helix Lucky MTF Trend and Breakout Dashboard is an overlay indicator designed to organize trend, momentum, breakout context, key levels, and multi-timeframe alignment into one chart-based dashboard.
The purpose of the script is not to combine unrelated indicators into a single display. The script separates market analysis into distinct layers so each component has a specific role:
1. Trend structure
2. Momentum confirmation
3. Breakout context
4. Multi-timeframe alignment
5. Key level awareness
6. Setup scoring
7. Optional visual confirmation tools
The result is a confluence-based workflow that helps traders review whether multiple independent conditions are aligned before making a trading decision.
🧩 How the Main Components Work Together
The script uses moving averages, VWAP, MACD, ZLSMA, UT Bot logic, Supertrend, ADX, RSI, and Opening Range Breakout logic as separate inputs within the same framework.
The moving average group provides basic trend structure by comparing shorter-term and longer-term averages. The default structure uses a fast EMA, medium EMA, and long SMA, but users can configure the moving average types and lengths.
VWAP provides session or higher-period price-location context. It can be anchored to the session, day, week, month, quarter, or year and may be displayed with standard deviation or percentage-based bands.
MACD is used as a momentum confirmation layer. The script includes a minimum separation filter so very small MACD differences can be filtered out instead of being treated the same as stronger momentum shifts.
ZLSMA is optional and can be used as an additional trend-direction filter.
The UT Bot component is used as the primary chart label engine. It uses an ATR-based adaptive trailing stop. The script adjusts the trailing distance using volatility, momentum, and volume conditions, then produces Buy or Sell labels when price crosses the trailing stop and the configured filters allow the signal.
Supertrend provides a separate trend-regime layer. This gives the user a second way to compare the UT Bot label against a broader trend condition.
ADX is used to evaluate whether trend strength is above the user-selected threshold. RSI can be used either in a classic 30/70 bias mode or with custom pullback zones.
The Opening Range Breakout component tracks whether price is above, below, or inside the selected opening range window. This helps separate trend-following conditions from range-bound conditions.
🧠 Why This Is More Than a Simple Mashup
Each component is assigned a different purpose. The script is designed so the same tools are not all treated as equal standalone signals.
Trend tools identify direction.
Momentum tools evaluate confirmation.
Volume and relative volume help evaluate participation.
Opening Range Breakout logic identifies range expansion.
The Bias Table compares selected conditions across multiple timeframes.
The Price Point Dashboard displays important reference levels and live context.
The scoring layer organizes these conditions into a rule-based summary.
This structure allows the script to reduce chart clutter while still showing how the underlying conditions agree or disagree.
🕒 Multi-Timeframe Bias Table
The Multi-Timeframe Bias Table displays up to eight selectable timeframes, including 1 minute, 5 minutes, 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, and Daily.
Each row evaluates one condition, such as moving average structure, price relative to VWAP, MACD alignment, Supertrend direction, ZLSMA slope, RSI condition, ADX threshold, Opening Range Breakout status, and longer-period bias.
The table also includes an average agreement reading. This reading is not a prediction and does not represent a win rate. It simply shows how many selected conditions are aligned across the active timeframes.
By default, the script can hide timeframes below the current chart timeframe. This is intended to reduce lower-timeframe noise when viewing higher-timeframe charts.
📍 Price Point Dashboard
The Price Point Dashboard displays reference levels and market context in one location. These can include prior day high, prior day low, prior day close, pivot levels, moving averages, 52-week high, Fibonacci reference levels, VWAP information, Opening Range Breakout status, ATR, gap percentage, relative volume, and other selected dashboard fields.
The dashboard is intended to help users see where price is trading relative to important reference levels without manually adding each level to the chart.
📈 Trend Strength Score
The Trend Strength Score is a rule-based 0 to 100 score that measures how strongly the current bar aligns with selected bullish trend conditions.
The score uses five weighted components:
- EMA alignment
- VWAP location
- MACD alignment
- Supertrend direction
- ADX strength
The score is a summary of internal conditions only. It does not predict future price movement.
🎯 Trade Probability Score
The Trade Probability Score is a rule-based 0 to 100 setup-quality score. It is calculated from twelve weighted factors:
- Multi-timeframe alignment
- EMA stack
- VWAP location
- Price relative to the 200-period moving average
- MACD alignment
- Supertrend direction
- ADX strength
- Relative volume
- Opening Range Breakout status
- Relative strength versus a selected benchmark
- Volatility state
- Position relative to key levels
The score is intended to summarize confluence. A higher score means more of the script’s internal conditions are aligned. It does not mean that a trade will be profitable, and it should not be interpreted as a guaranteed probability of success.
💧 Liquidity Sweep Detection
The script can detect liquidity sweep conditions by checking whether price moves beyond a recent swing high or swing low and then closes back inside that level.
A Sweep High label indicates that price moved above a recent high and then closed back below that level.
A Sweep Low label indicates that price moved below a recent low and then closed back above that level.
These labels are intended to identify possible rejection behavior around recent swing points. They should be used as context, not as standalone trade signals.
⚖️ Relative Strength
The script includes relative strength comparison against configurable benchmark symbols. The default benchmarks are QQQ and SPY.
Relative strength is calculated by comparing the current symbol’s intraday return against the benchmark’s intraday return. A positive value means the current symbol is outperforming the benchmark over that comparison period. A negative value means it is underperforming.
🌡️ Volatility State
The Volatility State feature classifies the current volatility environment as Squeeze, Normal, or Expansion.
This is based on Bollinger Band width compared with Keltner Channel width and recent volatility behavior.
Squeeze indicates compressed volatility.
Normal indicates a standard volatility environment.
Expansion indicates that volatility has increased relative to recent conditions.
This feature is included to help users understand whether price is consolidating, behaving normally, or expanding in volatility.
🕯️ Candlestick Pattern Labels
The script includes optional candlestick pattern labels. These patterns are detected on the same timeframe as the chart. They are not calculated from a separate hidden timeframe.
Optional labels include:
- Bullish Engulfing
- Bearish Engulfing
- Hammer
- Shooting Star
- Morning Star
- Evening Star
- Inside Bar
- Tweezer Top
- Tweezer Bottom
- Doji
- Dragonfly Doji
- Gravestone Doji
- Sweep High
- Sweep Low
These labels are intended as additional context. They should not be treated as standalone entries without reviewing trend, momentum, volatility, and key-level context.
🛑 Suggested Stop Loss and Take Profit Reference Lines
The script can plot suggested stop loss and take profit reference lines after a UT Bot label appears.
The stop line is calculated from internal structure such as the UT Bot stop, Supertrend, VWAP, moving average, Donchian floor, and a minimum ATR-based risk floor depending on settings and context.
Take profit reference lines are based on R-multiple distances from the suggested stop. These are visual planning tools only. They do not place trades, manage positions, or execute orders.
🧭 How to Use the Script
A typical workflow is:
1. Select the chart timeframe and market being reviewed.
2. Review the Multi-Timeframe Bias Table to understand directional alignment.
3. Check whether the chart is trending, ranging, breaking out, or consolidating.
4. Review the Price Point Dashboard for key levels and market context.
5. Watch for a UT Bot Buy or Sell label if labels are enabled.
6. Compare the label direction with Supertrend, MACD, VWAP, ADX, and the Bias Table.
7. Review the Trend Strength Score and Trade Probability Score as confluence summaries.
8. Use the suggested stop and take profit reference lines only as visual planning tools.
9. Apply independent risk management and confirm the setup with your own analysis.
🌍 Timeframes and Markets
The script can be applied to different chart timeframes and PulseWire-supported markets. Lower timeframes may produce more signals and more noise. Higher timeframes may produce fewer signals but can provide broader context.
The Multi-Timeframe Bias Table is intended to help users avoid looking at a single timeframe in isolation.
⚠️ Important Limitations
This script is an indicator, not a strategy. It does not place trades, backtest trades, manage orders, or connect to a brokerage account.
The scoring systems are rule-based summaries of current chart conditions. They are not win-rate models, machine-learning predictions, or guarantees of future results.
Signals, labels, and dashboard values can vary by symbol, timeframe, liquidity, volatility, and user settings.
The Bias Table is a live context dashboard and may update while the current bar is forming. This is expected behavior because some values are based on developing bar data.
The “Draw visuals only on bar close” setting gates the UT Bot entry visuals and suggested stop/take-profit drawings to confirmed bars. It does not freeze every live dashboard value while a bar is developing.
Liquidity Sweep labels can be gated to bar close using the Bar Close Only setting.
The script is designed for standard chart analysis. Signals on non-standard chart types may behave differently because those chart types can use synthetic price construction.
No signal, score, table reading, or label should be used as a guarantee of future price movement. Users should apply their own analysis and risk management.
🧾 Credits and Inspiration
This script was inspired by the concept of combining a multi-timeframe bias table, trend labels, and a price-level dashboard into one overlay.
The current script is a ground-up Pine Script v6 implementation with additional architecture, including the rule-based Trade Probability Score, Trend Strength Score, liquidity sweep detection, relative strength comparison, volatility state classification, configurable dashboards, candlestick pattern labels, and suggested risk-reference lines.
The script also uses common technical analysis concepts such as moving averages, VWAP, MACD, RSI, ADX, ATR, Supertrend-style trend logic, and Opening Range Breakout logic. These common concepts are organized into a single decision-support framework rather than presented as separate standalone indicators. Indicator
Market Condition Oscillator [HexaTrades]Market Condition Oscillator classifies price action into three simple states: Bullish Trend, Bearish Trend, and Consolidation, and paints them as a color-coded histogram below your chart. It is built to answer one question at a glance: should I be trend-trading right now, or is the market just chopping sideways?
What it shows
🟢 Green histogram above zero → confirmed bullish trend. Taller bars = stronger trend.
🔴 Red histogram below zero → confirmed bearish trend. Deeper bars = stronger trend.
⚪ Gray histogram near zero → consolidation/range (no clear trend).
How it works
The indicator combines four classic, well-understood concepts so that no single signal can produce a false trend on its own:
1. ADX (trend strength): measures how strongly the market is trending. Below the threshold, the market is treated as consolidation regardless of direction.
2. DI+ / DI− (direction) : the Directional Movement pair decides whether strength is to the upside or downside.
3. EMA position + slope (confirmation) : price must be on the correct side of the EMA and the EMA must be sloping the right way. This filters out counter-trend spikes.
4. ATR & EMA-distance (range detection) : consolidation is flagged when volatility compresses or price hugs the EMA, even if ADX hasn't fully dropped yet.
A phase only changes after the condition holds for a configurable number of candles (Confirmation Bars). This is the key to removing the constant flip-flopping that plagues most trend indicators.
Trend rules
✏️ Bullish = ADX above threshold and DI+ > DI− and price above EMA and EMA rising — held for N bars.
✏️Bearish = ADX above threshold and DI− > DI+ and price below EMA and EMA falling — held for N bars.
✏️Consolidation = weak ADX, or compressed ATR, or price hugging the EMA — anything that is not a confirmed trend.
Features
- Bullish, bearish, and consolidation market phase detection.
- Separate oscillator panel for clean chart reading.
- Color-coded histogram.
- Optional histogram smoothing.
- Confirmation bars to reduce false flips.
- Phase label on the latest candle.
- Legend table for easy interpretation.
- Alert conditions for bullish, bearish, consolidation, and trend-flip events.
- Uses confirmed candle data only and does not use future references.
How to use it
- Trend traders: only take longs while the histogram is green, shorts while it is red. Stand aside on gray.
- Mean-reversion traders: the gray phase highlights range conditions where fade/scalp setups work best.
- Filter: combine with your existing entry system and ignore signals that fight the MCO color.
- Works on any market and any timeframe. For higher timeframes, consider raising the ADX threshold and Confirmation Bars.
Alerts
Five ready-to-use alert conditions:
Bullish Trend Started
Bearish Trend Started
Consolidation Started
Bullish → Bearish Shift
Bearish → Bullish Shift
This indicator is designed to help identify market conditions. It should be combined with price action, support and resistance, volume, and proper risk management. No indicator can guarantee profitable trades.
We would love to hear your suggestions. If you have ideas for new features, indicators, analytics, or improvements, please share your feedback. Your input helps guide future updates and improve the indicator for all traders.
This indicator is for educational and analytical purposes only. It should not be considered financial advice. Always use proper risk management and make trading decisions based on your own analysis
Indicator
Flow Pressure OscillatorFlow Pressure Oscillator visualizes directional market pressure, trend alignment, regime quality, pullback pressure, and extended pressure conditions in a separate oscillator pane.
The tool is built to help traders read whether market pressure is leaning bullish, bearish, or neutral. It combines trend structure, EMA alignment, ATR-normalized movement, ADX, directional efficiency, volatility behavior, and volume participation into a bounded flow reading between -100 and +100.
The main Flow Trail shows the current pressure direction and strength. Positive readings indicate bullish pressure, negative readings indicate bearish pressure, and values near the zero line suggest a more neutral or mixed environment.
Regime Dots show the internal market regime state. Upper dots represent bullish regime pressure, lower dots represent bearish regime pressure, and neutral readings show that no strong directional regime is active.
The Pullback Reload Line is designed to highlight pullback pressure inside an existing bullish or bearish regime. It is not an entry signal by itself. It is meant to be used as context together with the Flow Trail, regime state, and the user’s own chart analysis.
The oscillator also highlights expansion and exhaustion-style pressure conditions. These areas can help identify when pressure is becoming stretched, accelerating, or losing momentum. They should be treated as market-context readings, not as guaranteed reversal or continuation points.
Core components
Flow Trail:
The main pressure line. It reacts to trend pressure, momentum slope, acceleration, structure alignment, volatility, and volume participation.
Zero Line:
A neutral reference level. Readings above zero show bullish pressure dominance. Readings below zero show bearish pressure dominance.
Regime Dots:
A visual regime filter for bullish, bearish, or neutral pressure conditions.
Pullback Reload Line:
A secondary pressure line designed to show pullback or reload behavior inside an active regime.
Pressure Fill:
A visual fill between the Flow Trail and the zero line to make pressure direction easier to read.
Extreme Pressure Coloring:
Highlights expanded, stretched, or exhaustion-style pressure states.
A simple way to use the oscillator is:
- Flow Trail above zero = bullish pressure is dominant;
- Flow Trail below zero = bearish pressure is dominant;
- Rising Flow Trail = pressure is strengthening;
- Falling Flow Trail = pressure is weakening;
- Regime Dots help confirm whether the broader pressure environment supports the current flow direction;
- Reload Line can help identify pullback pressure during an existing bullish or bearish regime;
- Extreme pressure areas should be used for awareness, not as automatic trade signals.
Important notes
Flow Pressure Oscillator is a market-pressure visualization tool only. It does not provide financial advice, trade recommendations, profit targets, stop losses, win-rate calculations, or performance guarantees.
The script should be used together with the trader’s own market structure, support and resistance, risk management, and confirmation process. No single oscillator should be used as a complete trading system. Indicator
3D: Real Smartphone Monitor Pro3D Real Smartphone Monitor Pro: Master Discipline and The Art of "No Position"
IMPORTANT: First-Time Setup and Size Adjustment
Because PulseWire automatically scales the Y-axis (price) and X-axis (time) differently depending on the asset and your screen resolution, this 3D monitor may appear stretched, squashed, or incorrectly sized upon initial application. This is a standard limitation of projecting 3D elements onto 2D charts.
How to resolve this immediately:
Open the Indicator Settings.
Navigate to the "3D Manual Scaling & Camera Settings" group.
Adjust the "Y-Axis Scale (Height)" and "X-Axis Scale (Width)" sliders.
Tweak the "Master Scale Multiplier" until the smartphone perfectly fits your screen layout.
Note: Because the optimal scale varies entirely depending on the specific asset, we have provided comprehensive manual scale adjustment settings. If you find any parameters lacking or require further adjustments, please notify us in the comments, and we will respond promptly.
Concept: The Purpose of a Chart Smartphone
Trading is not solely about identifying entries; it is about mastering psychology. Overtrading is a trader's greatest adversary. This monitor serves as a visual anchor to ground you in reality and reinforce the power of discipline.
When compelled to force a trade, look at this monitor and read the scrolling proverbs. Remember that maintaining "no position" is a highly strategic position. Stepping away from the chart is frequently the most profitable decision you can make.
Features and Technical Synchronization:
Time Awareness: A built-in clock keeps you grounded in reality, preventing time distortion while analyzing charts.
Battery Level (RSI Sync): The battery percentage reflects the 14-period RSI, instantly indicating market exhaustion (oversold/overbought conditions).
Antenna Signal (ADX Sync): The signal bars represent the 14-period ADX. A full signal indicates a massive trend, while a weak signal suggests a flat market—ideal for determining whether to engage or step away.
Dynamic Interface: Designed with meticulous attention to realism, featuring titanium-style edges, glass glare, a dynamic top notch, and native emoji app icons.
Stay disciplined, protect your capital, and sometimes, just put the monitor down.
Pine Script Calculation Details
Calculation: int msg_idx = int(bar_index / 20) % 10
Mathematical Rationale: The bar_index (current candle number) is divided by 20 to create a trigger that changes the output every 20 bars. The modulo operator (% 10) ensures the resulting index loops sequentially from 0 to 9, which maps perfectly to the 10 proverb elements stored in the array.
Actual Output Values:
At bar_index 100: int(100 / 20) % 10 outputs 5 (Displays array element index 5).
At bar_index 110: int(110 / 20) % 10 outputs 5 (Message remains the same).
At bar_index 120: int(120 / 20) % 10 outputs 6 (Message switches to the next index). Indicator
Multi Cycle KST OscillatorMulti-Cycle KST Oscillator — Publication Description
What it does
The Multi-Cycle KST Oscillator is a momentum oscillator built on the Know Sure Thing (KST) — a summed, weighted blend of four smoothed Rate-of-Change series. The standard KST plots one line. This script computes three KSTs at short, intermediate and long cycle lengths, reads their alignment, and wraps the plotted short-term KST in five decision-support modules so the momentum reading is filtered, contextualized and scored rather than read at face value. A single 0–100 Confidence value summarizes everything, and the oscillator line is colored by it.
Why these components are combined (the reason for the mashup)
KST on its own is a momentum (rate-of-change) factor, and it lags by construction. Adding more momentum tools such as RSI, MACD or Stochastic would only restate the same information. So every module added here is deliberately orthogonal to momentum — each answers a question the KST cannot answer by itself:
Long-term KST direction — the regime gate. A slower KST decides which side to trade. Short-term buy crosses are only trusted when the long-term cycle is rising, short crosses only when it is falling. This is the core of the multi-cycle idea: trade the shorter cycle in the direction of the longer one.
ADX/DMI regime filter — trade only in a real trend. Momentum crosses whipsaw in sideways markets, so signals are suppressed and the background is shaded while ADX is below threshold.
Higher-timeframe filter — alignment with the bigger picture. The same momentum direction is read from a higher, confirmed (non-repainting) timeframe to drop counter-trend crosses.
Price/KST divergence — early warning. Because the oscillator measures momentum, a price high against a lower oscillator high (or the inverse) flags fading momentum before the signal-line cross. Regular and hidden divergences are detected from confirmed pivots.
Efficiency-Ratio conviction scaler — how much to trust it now. A Kaufman Efficiency Ratio scales the Confidence up in clean trends and down in chop. It is a magnitude scaler, never a direction vote, so it cannot double-count momentum.
How the parts work together
Each module feeds one combined output. The plotted oscillator is the short-term KST (optionally standardized). A Buy or Sell is raised only when the short-term KST crosses its signal line AND the long-term cycle agrees AND the regime and higher-timeframe filters agree AND Confidence clears its threshold. Confidence itself is a weighted vote across the four orthogonal inputs (KST-vs-signal, long-term direction, price location, divergence), scaled by the Efficiency Ratio and clamped to 0–100. Divergence labels and the ATR stop/target are context around that one decision.
What makes it original
It is not a KST with other indicators drawn beside it. It turns a single KST line into a three-cycle alignment model with a long-term regime gate, then standardizes the result so its bands carry a consistent statistical meaning across instruments, and fuses five orthogonal checks into one bounded Confidence reading with explicit buy/sell gating. The combined output — "is momentum turning, in a real trend, in line with the larger cycle, and how much should I trust it" — does not exist in the source indicator.
How to use it
Pick an Oscillator mode: Raw (native KST), Z-Score, or Robust Z (median/MAD, least sensitive to spikes).
Green = up-cycle momentum, red = down-cycle; further from zero and brighter = stronger and higher conviction. Warn / Extreme bands mark stretched readings.
Buy / Sell triangles fire only when the cross, the long-term gate, the regime and higher-timeframe filters, and the Confidence threshold all agree. Treat them as points to investigate, not automatic entries.
Use divergences as early warning of fading momentum, and the two dashboards for the full read: right panel = Bias, Confidence, Signal, Cycle alignment, Oscillator; left panel = Long-term KST, Regime, Divergence, ATR Stop and Target.
The dashboards adapt to your chart's background brightness so both stay legible on dark or light themes.
Settings and defaults
Inputs are grouped and numbered: Data Source, the three KST cycles, Normalization & Display, Threshold Bands, Confirmation Filters, Divergence, Confidence Engine, Risk Targets, Signals & Alerts, and Visuals & Dashboard. Defaults follow the classic KST values and are tuned for NSE NIFTY on intraday charts. Because the Price / High / Low sources are user-selectable, the engine works on any instrument or even another indicator's output — for other assets, adjust the ROC/SMA lengths, the higher timeframe and the ATR period to suit.
Concept credit
The Know Sure Thing (KST) oscillator was created by Martin J. Pring. This script is an original multi-cycle implementation built around that public concept and is not affiliated with, nor endorsed by, its originator.
Honest limitations
KST is lagging by construction; this confirms moves, it does not predict them. Confidence (0–100) is an ordinal heuristic for how aligned the components are — it is not a probability or a win rate. Divergence is computed on confirmed pivots and therefore prints a few bars after the pivot forms; that latency is inherent to honest pivot detection. Signals confirm on bar close (non-repainting) by default, and the higher-timeframe filter uses the previous confirmed higher-timeframe bar. Backtest any settings on your own market before relying on them.
Disclaimer
For research and educational purposes only. This is not financial advice, not an investment recommendation, and not a solicitation to trade. Indicators describe past price behavior; they do not predict the future. Trading involves substantial risk of loss. Test on out-of-sample data and make your own decisions. The author accepts no liability for any use of this script. Indicator
NORN WEAVE | THURISAZ# NORN WEAVE ᚦ THURISAZ
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### Overview
NORN WEAVE ᚦ THURISAZ is the third version of the NORN WEAVE series, built on URUZ as its foundation.
The core logic is unchanged — EMA slope, Dow Theory swing structure, ADX trend confirmation. What changed is the entry filter. THURISAZ adds one question before every trade: *where are we standing on the daily chart?*
URUZ was built to survive. THURISAZ is built to choose. Bad entries don't just lose money — they consume time, margin, and mental bandwidth. The goal of this version is to stop entering trades that look right on the current timeframe but are wrong on the bigger picture.
The philosophy remains: survival first, profit second. THURISAZ adds a third principle — *don't enter where you shouldn't be standing.*
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### What's New: Daily Fibonacci Filter
THURISAZ introduces a daily timeframe Fibonacci filter as a structural context layer.
When the current timeframe trend and the daily trend align, the strategy behaves exactly like URUZ — no additional friction.
When they diverge, THURISAZ evaluates *where* price sits within the daily swing range using Fibonacci retracement levels (0.382 and 0.618):
- **Mid zone (0.382–0.618)** — Price is in the middle of the daily range. This is the "landing zone": the most likely area for a pullback to stall and reverse, not complete. Entries are blocked.
- **Shallow zone (below 0.382)** — The pullback is still early. Entry is allowed, but TP1 is adjusted to the 0.382 level rather than the standard ATR-based target. Partial profit is taken before the natural resistance zone.
- **Deep zone (above 0.618)** — Price has retraced significantly. Potential reversal territory. Entry is allowed with standard targets.
The daily swing detection period is independently configurable from the current timeframe's Focus Level, giving finer control over what constitutes a "daily swing."
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### Entry Conditions
**Long:** EMA rising AND Dow Theory trend up AND ADX above threshold AND Daily Fibo zone allows AND Footprint Delta bullish (if filter enabled)
**Short:** EMA falling AND Dow Theory trend down AND ADX above threshold AND Daily Fibo zone allows AND Footprint Delta bearish (if filter enabled)
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### Exit Conditions
- TP1 — ATR × Factor × 1 → closes 30% (or Fibo 0.382 if shallow counter-trend entry)
- TP2 — ATR × Factor × 2 → closes another 30%
- TP3 — ATR × Factor × 3 → closes a further 30%
- Stop Loss — fixed % from entry → closes full position
- Break Even Stop — once floating profit reaches the BE trigger %, stop moves to entry price and closes on pullback
- Trend Reversal — when Dow Theory swing flips → closes full position
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### Focus Level & Auto Calibration
Unchanged from URUZ. Focus Level is the primary knob — adjust it first when applying to a new symbol or timeframe.
Auto Calibration computes ADX threshold, ATR factor, and Stop Loss from the chart's own volatility data. When enabled, no manual tuning is required.
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### Break Even Stop
Unchanged from URUZ. One parameter: how far price must move from entry before the stop activates. Stop is always placed at entry price.
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### Footprint Delta Filter *(Premium plan required)*
Unchanged from URUZ. Uses BTC or ETH footprint delta as a directional confirmation filter. Blocks entries when order flow contradicts the trade direction.
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### Parameters
- **Focus Level** (default 13) — Main knob. Controls swing detection and EMA scaling.
- **EMA Scale Ratio** (default 5) — EMA length = Focus Level × this value.
- **Daily Swing Length** (default 10) — Swing detection period for the daily timeframe. Independent from Focus Level.
- **Show Daily Fibo Zone** (default ON) — Displays the 0.382 and 0.618 levels on the chart for visual reference.
- **Auto Calibration** (default ON) — Computes ADX threshold, ATR factor, and SL automatically.
- **BE Trigger %** (default 5.5%) — How far price must move before the BE stop activates.
- **ATR Factor** — Manual mode only. Default 3.8.
- **Stop Loss %** — Manual mode only. Default -10.0%.
- **ADX Threshold** — Manual mode only. Default 20.5.
- **Footprint SMA Period** (default 21) — Smoothing period for delta signal.
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### On Overfitting
One of the design principles of the NORN WEAVE series has been to minimize the number of configurable parameters. More parameters means more room to fit historical data — and less reason to trust that the results will hold going forward.
THURISAZ adds one new parameter: Daily Swing Length. That's it.
The Fibonacci levels themselves (0.382 and 0.618) are not parameters — they are fixed, widely recognized structural levels used by traders across markets and timeframes. They were not chosen by optimizing against backtest data.
The Daily Fibonacci Filter was validated across six symbols (SOL, DOGE, ETH, SUI, NEAR, PEPE). Five of the six showed improvement in profit factor and drawdown. The one exception — PEPE — deteriorated, which is the expected behavior: PEPE's explosive, non-structural price action doesn't respect daily swing context the way trend-following instruments do. A filter that improves everything uniformly would be suspicious. This result is not.
The filter works because the idea behind it is sound, not because it was tuned to work.
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### Visual Guide
- **EMA line** — 3-layer glow. Teal when rising, red when falling.
- **Dow Theory zones** — gradient fill from current swing level to current price.
- **Daily Fibo lines** — gold lines at 0.382 and 0.618 of the daily swing. Shaded zone between them marks where entries are blocked.
- **TP lines** — semi-transparent. TP1 faintest, TP3 most visible.
- **BE Stop line** — gold, appears only when active.
- **Gray background** — ADX below threshold. No entries.
- **Orange background** — Footprint Delta Filter blocking entry, or Daily Fibo mid zone active.
- **Status table** — real-time display of all conditions. Japanese/English toggle included. Daily Fibo status shown as: Same Dir / Mid Zone (blocked) / Shallow (TP adjusted) / Deep (reversal watch).
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### 概要
NORN WEAVE ᚦ THURISAZ は、URUZを土台とした NORN WEAVE シリーズ第3バージョンです。
コアロジックは変わっていません——EMAの傾き・ダウ理論のスイング構造・ADXトレンド確認。変わったのはエントリーフィルターです。THURISAZは、すべてのトレードの前に一つの問いを加えます。*日足でみたとき、今どこに立っているのか？*
URUZは「生き残る」ために設計されました。THURISAZは「選ぶ」ために設計されています。悪いエントリーは資金を失うだけでなく、時間・証拠金・集中力を消費します。このバージョンの目標は、現在足ではシグナルが正しく見えても、大きな地形では立ってはいけない場所へのエントリーを止めることです。
哲学は変わっていません。まず生き残る、利益はその次。THURISAZは三つ目の原則を加えます——*立つべきでない場所には立たない。*
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### 追加機能：日足フィボフィルター
THURISAZは、相場の地形を把握するための「日足フィボナッチフィルター」を新たに導入しました。
現在足のトレンドと日足のトレンドが同じ方向の場合、ストラテジーはURUZとまったく同じ挙動をします——追加の制約はありません。
方向が逆の場合、THURISAZはフィボナッチリトレースメント水準（0.382・0.618）を使い、日足スイングのどの位置に価格があるかを評価します。
- **中間ゾーン（0.382〜0.618）** — 価格が日足レンジの真ん中にある状態。「踊り場」と呼ぶべき位置で、押し目・戻しが途中で止まって反転する可能性が最も高い。エントリーをブロックします。
- **浅いゾーン（0.382以下）** — 押し目・戻しがまだ浅い段階。エントリーは許可しますが、TP1を通常のATRベースから日足フィボ0.382水準に調整します。自然な抵抗ゾーンの手前で部分利確します。
- **深いゾーン（0.618以上）** — 大きく押し込まれた位置。反転の可能性がある水準として通常通りエントリーします。
日足のスイング検出期間は現在足のフォーカスレベルとは独立して設定できます。
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### エントリー条件
**ロング：** EMA上向き AND ダウ理論上昇 AND ADXしきい値以上 AND 日足フィボゾーン許可 AND フットプリントデルタ買い優勢（フィルター有効時）
**ショート：** EMA下向き AND ダウ理論下降 AND ADXしきい値以上 AND 日足フィボゾーン許可 AND フットプリントデルタ売り優勢（フィルター有効時）
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### イグジット条件
- TP1 — ATR×倍率×1 → 30%決済（逆張り・浅いゾーン時はフィボ0.382水準）
- TP2 — ATR×倍率×2 → さらに30%決済
- TP3 — ATR×倍率×3 → さらに30%決済
- ストップロス — エントリーから設定%に達したら全決済
- ブレークイーブンストップ — 含み益がBE発動しきい値%に達したらストップが建値に移動。価格が戻ったら全決済
- トレンド反転 — ダウ理論スイングが逆転した時点で全決済
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### フォーカスレベルとオートキャリブレーション
URUZから変更なし。フォーカスレベルが主軸ノブです。新しい銘柄・時間足に適用するときはここを最初に調整してください。
オートキャリブレーションをONにすると、ADXしきい値・ATR倍率・SLがチャートのボラティリティデータから自動算出されます。
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### ブレークイーブンストップ
URUZから変更なし。設定項目は一つ——「何%動いたら発動するか」だけ。ストップ位置は常に建値です。
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### フットプリント・デルタフィルター *（Premiumプラン以上が必要）*
URUZから変更なし。BTCまたはETHのフットプリントデルタを方向性確認フィルターとして使用します。
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### パラメーター
- **フォーカスレベル**（デフォルト13）— 主軸ノブ。スイング検出・EMAスケールを制御。
- **EMAスケール倍率**（デフォルト5）— EMA期間 = フォーカスレベル × この値。
- **日足スイング検出期間**（デフォルト10）— 日足フィボ計算に使うスイング検出期間。フォーカスレベルとは独立。
- **日足フィボゾーン表示**（デフォルトON）— 0.382・0.618ラインをチャートに表示。
- **オートキャリブレーション**（デフォルトON）— ADXしきい値・ATR倍率・SLを自動算出。
- **BE発動しきい値%**（デフォルト5.5%）— エントリーからこの%動いたらBEストップが発動。
- **ATR倍率**（手動）— オートキャリブレーションOFF時に有効。デフォルト3.8。
- **損切り%**（手動）— オートキャリブレーションOFF時に有効。デフォルト-10.0%。
- **ADXしきい値**（手動）— オートキャリブレーションOFF時に有効。デフォルト20.5。
- **フットプリントSMA期間**（デフォルト21）— デルタシグナルの平滑化期間。
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### 過剰最適化について
NORN WEAVE シリーズの設計方針の一つは、パラメーター数をできる限り減らすことでした。パラメーターが増えるほど過去データへの過剰適合が起きやすくなり、将来の結果を信頼する根拠が薄れるからです。
THURISAZで追加したパラメーターは「日足スイング検出期間」の一つだけです。
フィボナッチ水準（0.382・0.618）自体はパラメーターではありません——バックテストデータを最適化して選んだ値ではなく、多くのトレーダーが長年にわたって参照してきた普遍的な構造水準です。
日足フィボフィルターは6銘柄（SOL・DOGE・ETH・SUI・NEAR・PEPE）で検証しました。そのうち5銘柄でPFとDDが改善しました。唯一悪化したのはPEPEですが、これは想定内の結果です——PEPEの急騰急落型の値動きは日足スイング構造を参照するロジックとそもそも相性が悪い。すべての銘柄で一様に改善するフィルターの方が、むしろ過剰最適化を疑うべきです。
このフィルターが機能するのは、チューニングの結果ではなく、背後にある考え方が正しいからだと考えています。
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### チャートの見方
- **EMAライン** — 3層グロー効果。上向きはティール、下向きはレッド。
- **ダウ理論ゾーン** — 現在のスイングレベルから現在価格へのグラデーション。
- **日足フィボライン** — 日足スイングの0.382・0.618をゴールドラインで表示。その間のシェードが「踊り場ゾーン（エントリーブロック）」。
- **TPライン** — 半透明。TP1が最も薄く、TP3が最も濃い。
- **BEストップライン** — ゴールド。発動中のみ表示。
- **グレー背景** — ADXがしきい値以下。エントリーなし。
- **オレンジ背景** — フットプリントデルタフィルターがブロック中、または日足フィボ踊り場ゾーンが有効。
- **ステータステーブル** — 全条件・パラメーター値をリアルタイム表示。日英切り替え対応。日足フィボの状態は「同方向 / 踊り場（ブロック）/ 浅い（TP調整）/ 深い（反転狙い）」で表示。 Strategy
ADX Directional Index DI FREE , Trend Strength MTF //BPSTrend-strength indicator with classic ADX, Directional Index (DI+ /
DI-), color-coded strength zones, crossover signals and a
10-timeframe dashboard.
📊 WHAT IT SHOWS
• ADX line (0–100) — measures trend strength regardless of direction
• DI+ and DI- lines — show directional pressure (bull vs bear)
• Bullish / bearish crossover signals when DI lines cross
• Multi-timeframe dashboard: D, 4H, 2H, 1H, 30m, 15m, 10m, 5m, 3m, 1m
• Color-coded background highlighting strong trends
🎯 HOW TO USE
• ADX > 20 = trending market → use trend-following strategies
• ADX < 20 = ranging market → mean-reversion / range setups
• DI+ crosses above DI- = bullish bias · DI- above DI+ = bearish
• Use the 10-TF dashboard for instant multi-timeframe context
• Pair with Smart Money for order-block + trend confluence
🔑 KEYWORDS
ADX, Directional Index, DI+, DI-, Trend Strength, Multi-Timeframe,
MTF Dashboard, Wilder, Average Directional Index, Trend Following,
Crossover Signals Indicator
