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Momentum PowerTrend & Momentum Power (Futures Traders) What it does This indicator gives NQ traders a fast read on trend and momentum strength — for NQ and ES side by side — without having to flip charts. It's built for spotting confluence: when NQ and ES are both showing strong trend/momentum in the same direction, that agreement is often more meaningful than either instrument alone. When they diverge, that relative strength/weakness between the two can be just as useful to watch. How it works Trend Power is derived from Wilder's DMI/ADX — it measures how strong a directional trend is, not just whether one exists. Momentum Power is an ATR-normalized rate-of-change — it measures how fast price is moving relative to recent volatility, so readings stay consistent across different volatility regimes. Each reading is scored 1–3 dots (weak/medium/strong) and colored bullish, bearish, or neutral/indecisive. The dashboard shows four rows: NQ Trend, NQ Momentum, ES Trend, ES Momentum — so you can see both instruments' internal state at a glance. ES data is pulled live via request.security, so no need to switch charts. New: Candle coloring on confluence When enough dots across all four rows agree on direction (default: 7 of 12), the candles on your chart change color — green for bullish consensus, red for bearish. This is a visual cue for when NQ and ES trend/momentum are aligned, not aligned individual instrument readings in isolation. Important — this is not a buy/sell signal This tool does not generate entries, exits, or trade recommendations. It's a read on relative trend and momentum strength between NQ and ES to help you gauge confluence and context. Candle coloring reflects dot agreement, not a system signal — it still requires your own judgment, risk management, and confirmation from your broader trade plan before acting on anything you see. Inputs ES symbol is configurable (defaults to CME_MINI:ES1!; swap for micros or a fixed contract month) All thresholds (trend/momentum weak/medium/strong, deadzones) are adjustable per your own calibration Dot consensus threshold and candle colors are configurable independently of the dashboard dot colors
Indicator
by CovertNinja
Polynomial & Logarithmic Regression Channels [OnlyFibonacci]Polynomial & Logarithmic Regression Channels is an overlay indicator that fits a 2nd-degree polynomial regression curve to recent price action and builds dynamic standard deviation channels around that curve. Unlike a straight linear regression line or a simple moving average, the polynomial model captures curved trends — acceleration, deceleration, and rounded turning phases — while deviation bands quantify how far price has stretched from the fitted trend. What Makes This Indicator Different Matrix-based polynomial regression — Coefficients are solved via least-squares using Pine Script v6 matrix operations (matrix.new, matrix.transpose, matrix.mult, matrix.inv), not a basic ta.linreg() call. Logarithmic price scale toggle — Switch between standard and log-price regression. Log mode is well suited for long-horizon assets where percentage growth matters more than absolute price moves. Residual volatility channels — Inner (±1σ) and outer (±2σ) bands are built from the standard deviation of price residuals relative to the fitted curve, not from raw price volatility alone. Live dashboard — Model type, channel position (%), residual volatility, and trend status (Overbought / Oversold / Neutral) are displayed in an upper-right table. Built-in alerts — Outer channel breaches and polynomial slope direction changes. How It Works On each bar, the script collects the last N closing prices (default: 200) and fits the equation y = a + bx + cx² using matrix least-squares: β = (X'X)⁻¹X'Y. The regression line value at the current bar becomes the central trend curve. Residuals (actual price minus fitted value) across the lookback window are used to compute a sample standard deviation. Upper and lower channels are then plotted at user-defined σ multipliers. When Use Logarithmic Price Scale is enabled, prices are transformed with math.log() before regression and mapped back to the chart with math.exp() for display. The central line color reflects the instantaneous slope of the polynomial at the current bar: bright green when sloping up, bright red when sloping down. Key Settings Lookback Period (default 200) — Number of bars used to fit the polynomial. Higher values produce a smoother, slower-reacting curve; lower values track price more closely. Use Logarithmic Price Scale — Enable for long-term trending markets (equities, crypto, indices). Keep off for short-term or range-bound analysis. Inner / Outer Multipliers (default ±1.0 / ±2.0) — Control channel width. Wider multipliers reduce false overbought/oversold signals; tighter multipliers increase sensitivity. Visual Style — Trend colors, band colors, fill transparency, and line widths. Dashboard — Toggle the info table and adjust text size. How to Read the Chart Polynomial Regression line — The dynamic trend curve. Color shows current slope direction. Inner bands (±1σ) — Normal fluctuation zone around the trend. Pullbacks into inner bands within a trending market may offer continuation setups. Outer bands (±2σ) — Statistical stretch zone. Price beyond outer bands signals extended deviation from the fitted trend. Channel fills — Soft shaded areas between bands help visualize channel structure without cluttering the chart. Dashboard Metrics Model Type — "Polynomial" (standard scale) or "Log-Poly" (logarithmic scale). Channel Position (%) — Where price sits within the outer channel (0% = outer lower, 100% = outer upper). Values above 80% or below 20% are highlighted. Residual Volatility — Dispersion of price around the fitted curve, shown as a percentage. Trend Status — Overbought (above outer upper), Oversold (below outer lower), or Neutral (inside outer bands). How to Use — Practical Interpretation Trend identification: Trade in the direction of the regression line color. A green (upward-sloping) curve supports bullish bias; red supports bearish bias. Pullback entries: In a strong trend, price pulling back toward the regression line or inner band while slope remains favorable can indicate a potential continuation zone — always confirm with your own structure or confluence. Mean reversion / exhaustion: When price pushes beyond the outer bands and dashboard shows Overbought or Oversold, the move may be statistically extended relative to the fitted curve. This does not guarantee reversal; it flags stretched conditions. Log vs. standard mode: Use log mode on higher timeframes and growth assets. Use standard mode on lower timeframes or when absolute price deviation is more relevant. Lookback tuning: Match lookback to your analysis horizon — e.g. 100–150 for swing trading, 200+ for position trend context. Built-in Alerts Overbought — price above outer upper channel Oversold — price below outer lower channel Trend slope turned bullish — polynomial derivative crossed above zero Trend slope turned bearish — polynomial derivative crossed below zero Recommended Setup Apply to a clean chart with no other overlapping indicators for clearest visualization. Start with default settings (200 lookback, ±1σ / ±2σ bands). Test on your preferred timeframe and symbol before relying on signals. Combine with support/resistance, volume, or higher-timeframe trend for confluence — this tool provides statistical context, not standalone trade signals. This indicator is a quantitative analysis tool for educational and informational purposes only. It does not constitute financial advice, investment recommendation, or a guarantee of future performance. Past behavior of regression channels does not predict future results. Always manage risk and conduct your own due diligence before making trading decisions. Credits Developed by OnlyFibonacci . Licensed under Mozilla Public License 2.0.
Indicator
by only_fibonacci
ORB AI [PickMyTrade]ORB AI asks a question most opening-range tools skip: does this breakout resemble the chart's own past breakouts that worked, or the ones that didn't? Instead of firing on a single range-break condition, every qualified breakout is scored across seven independent structural factors, then cross-checked against an on-chart K-nearest-neighbour library built exclusively from this symbol's own resolved breakout outcomes. Both numbers are shown — the rule score and the KNN vote — without either one silently deciding the trade for you. ---------------------------------------------------------------------------------------------------------------- 🔷 WHAT IT MEASURES 🔸 Opening Range The range locks from a configurable session anchor — Exchange Session (the symbol's own listed timezone), New York 09:30, New York 08:30 (data), London 08:00, Tokyo 09:00, or a Custom session/timezone pair — over a configurable window (1–120 minutes). If the chart timeframe is coarser than the chosen window, the range automatically expands to one full bar and the dashboard notes the effective duration rather than silently misrepresenting it. 🔸 Rule Confidence (7-factor score) Every qualified breakout candidate is scored 0–100 across Trend, Momentum, Volume, Volatility, Structure, Breakout Quality and Liquidity. Trend itself is a blend (35% EMA alignment, 25% ADX, 25% higher-timeframe read, 15% slope) — the dashboard breaks out all seven components individually so the score is never a black box. 🔸 Flow Marks — BO / RT / FBO / Sweep BO tags the confirmed breakout bar. RT tags a retest of the broken range edge that holds (with a running count). FBO tags a breakout that closed back inside the range — a false breakout, not a win or loss judgement. Sweep tags a wick that pierced the range edge and closed back inside — liquidity taken without a directional close. ---------------------------------------------------------------------------------------------------------------- 🔷 THE KNN ENGINE (LORENTZIAN DISTANCE) 🔸 How the library is built Every rule-qualified breakout gets a 6-feature fingerprint (trend, momentum, volume, volatility, structure, breakout quality). Its outcome is then resolved forward, stop checked first: 1R target reached before the stop = win, stop first = loss, neither within the configurable outcome window (15–600 minutes) = discarded as undecided — drifts are never counted as losses, so the base rate reflects only decisive breakouts. Every qualified candidate is recorded regardless of outcome, so the library grows without selection bias. 🔸 How a new candidate is voted A new candidate is compared to the stored library (up to 300 records) by Lorentzian distance. The K nearest historical analogues (3–15, default 5) vote, and the vote share is shown on the signal label and dashboard. 🔸 Advisory vs. Gate Advisory mode (default) displays the vote as context; it never blocks a signal, so the set of signalling bars stays fully deterministic regardless of library state. Gate mode (opt-in) also requires the vote to clear a minimum share before a signal fires — this trades determinism for selectivity and is only meaningful once the library has grown past a configurable minimum size. 🔸 Read honestly With a 6-feature fingerprint, the nearest neighbours of a few-hundred-record library span roughly half of each feature's range — the vote is a coarse regional tendency, not a precise analogue match. Loading a different amount of chart history can change the displayed vote (Advisory) or which candidates pass (Gate); this is inherent to on-chart instance-based learning and is disclosed rather than hidden. The indicator requires a symbol with volume data — volume-less feeds (some cash indices / spot FX) cannot render the KNN engine. ---------------------------------------------------------------------------------------------------------------- 🔷 SIGNALS AND DISPLAY 🔸 Dashboard A compact table shows Session, Regime, ML Engine status (library size / warm-up state), locked Range, Bias, the 7-factor Rule Confidence bar, Risk-per-Unit, the active Trade Plan, and a Flow Marks legend. An optional Full mode expands all seven score components. 🔸 Trade Plan overlay On a qualified signal the indicator draws an entry, stop, and take-profit levels using one of three configurable methods: a fixed R ladder, an opening-range-width measured-move projection, or an ATR-scaled EMA-dynamic trail. This is a reference overlay describing one rules-based way to structure the trade *if* you choose to take it — it is not a recommendation, and the levels are not a performance claim. 🔸 Non-repainting Signals evaluate on confirmed closes only. Locked range levels never change once set. Higher-timeframe reads use ` ` plus `lookahead_off`. The KNN library is built strictly from already-resolved past outcomes — no future data is read at any point. 🔸 Alerts 19 `alertcondition()` calls cover long/short entries, false breakouts (combined and per-direction), confidence-threshold crosses, range completion, trend-context changes, take-profit and stop touches (combined and per-level), reversals, session-end exits, approaching-breakout warnings, retests, and sweeps above/below the range. Recommended alert setting: *Once Per Bar Close*. ---------------------------------------------------------------------------------------------------------------- 🔷 INPUTS 🔸 Opening Range — Session anchor, custom session/timezone, range length (minutes). 🔸 Signal Engine — Minimum Rule Confidence threshold, TP method (R Ladder / OR Width Projection / Dynamic EMA), R-ladder multiples, wide-range-OR filter. 🔸 KNN · ML Engine — Mode (Advisory / Gate / Off), K neighbours, history length, minimum ML vote (Gate only), outcome window (minutes), Gate minimum library size. 🔸 Filters — Signal Blackout window (session-anchor timezone), max signals per session, news filter. 🔸 Visual — Bull/bear colours, dashboard position and detail level, Zen mode (hides text labels, keeps shapes/zones only). ---------------------------------------------------------------------------------------------------------------- 🔷 REQUIREMENTS AND LIMITATIONS Requires a symbol with volume data — the KNN engine cannot render on volume-less feeds (some cash indices, spot FX). The KNN vote is a coarse regional tendency drawn from a finite on-chart library, not a precise analogue match or a probability estimate; it is advisory by default for that reason. Loading a different amount of chart history changes the displayed vote in Advisory mode, and can change which candidates pass in Gate mode — this is inherent to on-chart instance-based learning and is disclosed rather than hidden. This is a decision-support toolkit: it does not place trades, and no element of the dashboard, score, or trade-plan overlay is a claim about future performance. Always apply independent risk management. ---------------------------------------------------------------------------------------------------------------- Built natively in Pine Script® v6. Seven-factor rule-based confluence scoring with an on-chart, self-learning KNN engine using Lorentzian distance over resolved breakout outcomes — no external libraries, no repainting, no lookahead. Open source — Mozilla Public License 2.0.
Indicator
by PickMyTrade_Official
Moon Phases [TradingTruth]🌙 Moon Phases Visualize the lunar cycle directly on your chart and explore how market behavior aligns with the different phases of the Moon. Moon Phases marks every New Moon, Full Moon, and optionally the First Quarter and Last Quarter, allowing traders to study recurring market behavior, timing, volatility, and potential turning points through a clean, distraction-free interface. Whether you're researching market cycles or simply curious about the relationship between lunar phases and price action, this indicator provides an elegant way to incorporate astronomical timing into your chart analysis. ━━━━━━━━━━━━━━━━━━━━ ✨ FEATURES ━━━━━━━━━━━━━━━━━━━━ 🌑 New Moon Detection Automatically marks every New Moon. Optional background highlighting for quick visual identification. 🌕 Full Moon Detection Displays every Full Moon with clear chart labels. Subtle background shading helps distinguish Full Moon periods. 🌓 Quarter Moon Support Optionally display: First Quarter Last Quarter Ideal for traders researching intermediate lunar cycle behavior. 📅 One Signal Per Lunar Event Labels are plotted only on the first trading bar of each lunar phase. Prevents duplicate signals across multiple candles. 📊 Live Moon Information The information panel displays: Current Moon Phase Moon Phase Angle Current Date 🎨 Minimal Chart Clutter Designed to stay out of the way while remaining easy to read: Clean emoji labels Optional phase labels Light background highlights Works across all markets and timeframes ━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS ━━━━━━━━━━━━━━━━━━━━ Customize the indicator to suit your workflow: ✅ Enable or disable: New & Full Moon labels Quarter Moon labels Automatically highlights: 🌑 New Moon periods 🌕 Full Moon periods ━━━━━━━━━━━━━━━━━━━━ 📈 USE CASES ━━━━━━━━━━━━━━━━━━━━ Many traders enjoy studying lunar cycles alongside traditional technical analysis to investigate potential relationships with: • Market turning points • Volatility expansions • Trend continuation • Swing highs and lows • Time cycle analysis • Seasonal market behavior This indicator is designed as a research and visualization tool, allowing you to perform your own historical analysis without making assumptions about market direction. ━━━━━━━━━━━━━━━━━━━━ 💡 BEST USED WITH ━━━━━━━━━━━━━━━━━━━━ Combine Moon Phases with: Market Structure Support & Resistance Volume Analysis Wyckoff Methodology Gann Time Cycles Elliott Wave Analysis Session Analysis Trend Following Systems ━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━ This indicator does not generate buy or sell signals. Moon phases should be treated as one of many timing factors within a broader trading methodology. Always combine them with sound technical analysis, proper risk management, and market context before making trading decisions. I also think a stronger title for PulseWire would be: 🌙 Moon Phases 🌙 Moon Phases for Traders 🌙 Lunar Market Cycles 🌙 Moon Cycle Tracker 🌙 Moon Phases & Market Timing 🌙 Lunar Cycle Indicator 🌙 Trading Truth Moon Phases (if you're releasing it under your brand) For discoverability on PulseWire, "Moon Phases" or "Moon Phases for Traders" are the strongest choices because they're simple, searchable, and immediately communicate the indicator's purpose.
Indicator
by AstroTrade_
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
by MarkitTick
Confluence Context - Regime Filter + Market Structure🎯 CONFLUENCE CONTEXT — REGIME FILTER + MARKET STRUCTURE Your signal tool tells you WHEN. This tells you WHETHER. Confluence Context — Regime Filter + Market Structure is the companion layer that sits on top of whatever you already trade and answers the one question that wrecks most setups: does the context actually agree? It draws no zones and fires no entries — it reads the environment, scores it, and hands you a single glance-readable verdict. 📊 🔥 WHY IT EXISTS Most signal tools fire identically in every environment — trending, ranging, dead, or violent. The killer is the clean-looking signal taken in the wrong context: a breakout in a dead session, a continuation against structure, a trend entry while volatility is flatlined. Confluence Context — Regime Filter + Market Structure gates your entry with the four things signal tools love to ignore. 🧩 THE FOUR LAYERS 📐 Market Structure — Swing pivots labeled BOS (Break of Structure, with the trend) and CHoCH (Change of Character, against it), with a running bias: Bullish, Bearish, or Neutral. Confirmed-bar only, capped label history so the chart doesn't clutter. 🌊 Volatility Regime — ATR vs its own moving average, sorting the tape into Low, Normal, or Extreme. This is the regime filter — it tells you whether you're in the environment your strategy was actually built for. Flip on H1 mode to inherit a higher-timeframe regime read from the prior closed 60-min bar, no repaint. 🕐 Session Filter — London / New York / Asia with pair presets (JPY, USD majors, AUD/NZD) or fully custom windows + timezone. Reads the live wall clock, so it flips to "Closed" the moment the market closes instead of freezing on the last in-session bar. 📈 Trend — Price vs a configurable EMA. Simple, and it earns its weight. These four checks are fused into two weighted tallies instead of shipped as four separate indicators because context only breaks down as a whole — a bullish structure read means nothing if the session is dead and volatility is flat. Splitting them apart would just recreate the blind spot this indicator exists to close. ⚡ HOW THEY STACK (the scoring engine) Every layer casts a weighted vote into TWO independent tallies — a bull score and a bear score, scored separately so you can actually see when context is fighting itself instead of just being quiet. A fifth slot — External Zone Hit — is a manual toggle (bull and bear separately) you flip the moment YOUR zone or level tool confirms a touch. That's what makes this a companion, not a standalone: it lets your existing setup feed the one input it can't infer. 🎯 THE HIGHLIGHTER Clear your threshold on the dominant side and the Highlighter collapses both scores into one verdict — Stacked Long, Leaning Long, Balanced, Leaning Short, or Stacked Short. Paint it on the candles, the background, or both. Two candle modes: Verdict Tint paints every bar by net confluence, or BOS/CHoCH Candle paints only the single bar where a structure break confirms, in that event's own label color — a quieter option if you just want structure flips to pop. It confirms context, it doesn't call trades, so it speaks BULLISH / BEARISH, never BUY / SELL. 📋 THE LIVE TABLE A full breakdown, not just a verdict — all six weighted conditions get their own row with a pass/fail check for both bull and bear, plus ATR, active session, and bias/regime context underneath. An optional oversized headline row sits on top: CONTEXT: BULLISH · Stacked Long · 9 / 2. Six position options, so it never collides with your other panels. 🔔 ALERTS Structure breaks, all four regime transitions, session opens and full-close, and confluence threshold crosses — all confirmed-bar only. The threshold alerts carry a full payload (symbol, timeframe, direction, score, bias, ATR, session, regime, timestamp) so your webhook or notification has enough context to act on without opening the chart. An optional toggle also alerts when a score drops back below threshold. 🛠️ HOW TO USE IT Slap it on top of whatever you trade. Tune the EMA, regime multipliers, and session windows to your instrument. Read the verdict off the table or the candle tint — filter your primary signal so you only pull the trigger when context agrees, or let the confluence alert ping you when the dominant side clears threshold. ⏱️ BEST TIMEFRAMES Built to shine on M15 through H4 — enough structure to mean something, fast enough to act on. ♾️ The whole idea: it stays useful after it's been on your chart for a while. Repaint policy: structure, regime, and score history evaluate on confirmed bars; the HTF regime read uses a closed-bar offset and doesn't repaint; the session display is live by design and doesn't touch history. Settings are starting points, not advice — tune them to your market and validate before risking capital.
Indicator
by SlatinaTrades
MSnR CC Level [6 Types]MSnR CC Level This script detects and maps Confirmation Candle (CC) levels, a 3-candle confirmation structure that checks whether a previously created level gets touched and rejected by the latest closed candle while keeping directional continuation. Rather than looking at single swing points, CC detection requires a specific three-part pattern to validate a level. The result is a complete structural map of confirmed rejections inside the scan window, with each of the six CC types drawn so it can be told apart at a glance. WHAT MAKES THIS DIFFERENT 1. Complete structural confirmation, not just arbitrary levels. Most level tools draw lines where price has simply turned around. This tool requires a strict 3-candle structural proof. A level must be established, tested, and actively rejected with continuation to be drawn on the chart. 2. Identifies six distinct CC structures. The script distinguishes between A CC, V CC, Bullish Gap CC, Bearish Gap CC, SBR CC, and RBS CC. The type is visually indicated, so you know exactly what structure formed the level without having to check the candles manually. 3. SBR and RBS are one-shot dynamic flips. When an established level is broken, the script immediately starts looking for the very next candle to act as the signal candle, confirming a Support Become Resistance (SBR) or Resistance Become Support (RBS) setup. THE SIX CC TYPES A candle is Green when close is greater than or equal to open (a Doji counts as Green) and Red when close is less than open. The running candle is never used. For the first four types, a 3-candle sequence is evaluated: - Candle 1 establishes the reference level (the close of the first candle). - Candle 2 provides the middle structure. - Candle 3 is the signal candle that must reject the level and maintain directional strength. V CC (Bullish) Red, Green, Green. The signal candle low touches the V level, the body remains above it, and its close is greater than or equal to the middle candle's close. Bullish Gap CC Green, Green, Green. Follows the same touch, body, and continuation rules as the V CC. A CC (Bearish) Green, Red, Red. The signal candle high touches the A level, the body remains below it, and its close is less than or equal to the middle candle's close. Bearish Gap CC Red, Red, Red. Follows the same touch, body, and continuation rules as the A CC. For the broken levels: SBR CC When a support level breaks down, the very next candle must act as the signal candle. It must reject the freshly flipped level from below, satisfying the same touch, body, and continuation rules as a bearish CC. RBS CC When a resistance level breaks up, the very next candle must act as the signal candle. It must reject the freshly flipped level from above, satisfying the same touch, body, and continuation rules as a bullish CC. READING THE CHART Colour tells you the side: - Red labels: bearish rejections. A CC, Bearish Gap CC, SBR CC. - Green labels: bullish rejections. V CC, Bullish Gap CC, RBS CC. Each CC level starts at the candle that created its structure and extends to the right. The labels sit cleanly at the right edge of the chart to keep the price action visible. If multiple CC levels form at the same price, their labels are merged into a single entry to keep the chart clean. Nearby labels are automatically staggered horizontally to avoid overlap. SETTINGS Scan - Scan Length (closed candles): how many closed candles are scanned backwards from the latest bar. Every CC Level found inside this window is drawn. The running candle is always excluded. Display - An individual switch for each of the six CC types, plus a toggle for the text labels. Style - Level Line Color, Label Size, and spacing options. You can adjust the distance used to merge same-price labels, the gap before staggering, and the horizontal stagger step. ALERTS Six alert conditions are available: A CC, V CC, Bullish Gap CC, Bearish Gap CC, SBR CC and RBS CC. Each message carries the level type, the symbol, the timeframe and the closing price. The same messages are also sent through the alert function, so the "Any alert() function call" alert type can deliver everything through a single alert. All alerts are evaluated only after a candle has fully closed. REPAINTING This script does not repaint. - Detection reads confirmed candles only. The scan starts one bar behind the latest bar, so the candle that is still forming is never part of any calculation. - Alert signals can only become true once a candle has finished. Price moving inside an open candle cannot make a signal appear and then disappear. - Levels are rebuilt on the last bar from confirmed history. A level's price never moves. Once drawn, nothing shifts backwards. When you create an alert, PulseWire may show a caution banner saying the indicator can repaint. That banner appears automatically for any script that uses the built in bar state variables, no matter how they are used, because the platform cannot check the intent behind them. This script uses them for the opposite purpose: one of them is what restricts every signal to bar close, and the other is what redraws the levels efficiently on the final bar. Choosing "Once Per Bar Close" when creating the alert is still recommended. NOTES AND LIMITATIONS - PulseWire caps drawings at 500 lines and 500 labels. A very long Scan Length will hit that ceiling and the oldest drawings will be dropped. - The label offset and merge gap are measured in ticks. Expect to adjust these settings when moving between symbols with different tick values. - Detection is purely structural. It reports where valid CC patterns have formed. It does not measure what happened afterwards, or produce entries, targets or stops. HOW TO USE IT Use these CC levels to map where the market has shown confirmed structural rejection. Areas where multiple CC structures stack together often represent stronger zones of interest. These are reference areas, not automated entry signals. Use them alongside higher timeframe structure, and apply your own confirmation and risk management. DISCLAIMER This indicator is a level detection tool. It is not financial advice and it makes no claim about profitability. Trading involves risk. Always apply your own analysis and risk management.
Indicator
by RWBTradeLab
2
(CGP) Crypto Diversification Lens## CGP Crypto Diversification Lens Owning more cryptocurrencies does not automatically mean you have reduced your risk. The CGP Crypto Diversification Lens lets you build a hypothetical crypto portfolio and compare its historical risk and upside directly against Bitcoin. It answers two simple questions: 1. Did adding these coins actually reduce risk? 2. Did the additional risk produce more upside? ### How to use it 1. Open any cryptocurrency on the 1D chart. 2. Add the coins you want to test. 3. Enter the percentage allocated to each coin. 4. Select your historical lookback. 5. Read the Downside Test, Upside Potential and Two-Sided Readout. The weights are automatically normalized, so they do not need to add up to exactly 100%. ### ① Downside Test **Volatility vs BTC** Shows how volatile the portfolio was compared with Bitcoin. - Below 1.00×: Less volatile than BTC - Around 1.00×: Similar to BTC - Above 1.00×: More volatile than BTC **Maximum Drawdown** Compares the portfolio’s largest historical decline with Bitcoin’s largest decline over the same period. A portfolio containing more coins can still experience a larger drawdown than Bitcoin. **Downside Capture** Measures how the portfolio performed specifically on days when Bitcoin was falling. - Below 100%: The portfolio lost less than BTC - Around 100%: The portfolio behaved similarly to BTC - Above 100%: The portfolio lost more than BTC **Down-Day Correlation** Shows how closely the portfolio moved with Bitcoin during Bitcoin’s negative days. A high correlation means the assets continued moving together when diversification was supposed to provide protection. ### ② Upside Potential **Upside Capture** Measures how the portfolio performed on days when Bitcoin was rising. - Above 100%: The portfolio captured more upside than BTC - Around 100%: BTC-like upside - Below 100%: The portfolio captured less upside than BTC **BTC Beta** Shows how sensitive the portfolio was to Bitcoin’s movements. A beta above 1.00 means the portfolio historically moved more aggressively than Bitcoin. This can create additional upside, but also additional downside. **Capture Asymmetry** Compares upside capture with downside capture. - Above 1.00×: More upside captured relative to downside - Around 1.00×: Similar upside and downside participation - Below 1.00×: Downside capture dominated ### ③ Two-Sided Readout The indicator combines the results into a simple portfolio profile, such as: - Risk Diversifier - Lower-Risk Mix - Better Asymmetry - Higher-Beta Mix - Upside Amplifier - Risk Amplifier - BTC-Like Mix The chart underneath the table visualizes both sides: - The gold line shows the portfolio’s upside edge versus Bitcoin. - The second line shows downside protection. - Above zero means the portfolio lost less than BTC. - Below zero means the portfolio amplified Bitcoin’s downside. When the portfolio captures more upside while also amplifying downside, the indicator highlights a Higher-Beta state. ### What this indicator helps you understand Diversification inside crypto can reduce the risk of one individual project failing. However, it does not automatically reduce the market risk shared by cryptocurrencies. If Bitcoin falls and every asset in the portfolio falls even harder, owning more coins did not necessarily make the portfolio safer. Use this indicator to test the actual historical effect of each coin before calling a portfolio diversified. ### Methodology and limitations The indicator creates a hypothetical fixed-weight portfolio using aligned daily returns. It assumes daily rebalancing and uses completed daily price data. It does not include: - Trading fees - Slippage - Taxes - Liquidity constraints - Rebalancing costs - Token-specific fundamental risks Results are historical and descriptive, not predictive. A favorable result does not guarantee similar future performance. For educational and research purposes only. Not financial advice.
Indicator
by CryptoGameplan
MQE - Market Quality Engine v1.6# MQE — Market Quality Engine v1.6 **MQE is not a buy/sell signal generator.** It is a Decision Support System that measures the quality of the current market environment on a standardized 0-100 scale. Its purpose is not to dictate "Buy" or "Sell," but to present, transparently and explainably, how favorable current market conditions are for opening a directional position. ## Methodology MQE combines evidence from five independent analytical engines: - **Trend Engine** — Evaluates market structure direction using EMA structure, AlphaTrend, and Comparative Relative Strength (CRS) against a benchmark (default BIST:XU100). - **Flow Engine** — Measures directional capital commitment using a Cumulative Delta Volume (CDV) approximation; unlike raw volume, it prioritizes directional information over mere activity. The engine's highest-weighted criterion (40%) is whether CDV's fast average (EMA5) remains above its slow average (SMA68) — a strong, sustained CDV reading is interpreted as confirmation that the underlying scenario has not broken down. - **Opportunity Conditions Engine** — Built around Relative ATR, this engine evaluates "tradability" rather than raw volatility; neither extreme compression nor extreme expansion is treated as inherently favorable. - **Participation Engine** — Uses Relative Volume to assess whether sufficient market participation supports the current move; it is non-directional and primarily feeds into the Confidence output. - **Momentum Engine** — MFI-based; deliberately avoids classic overbought/oversold interpretation and instead evaluates the persistence of directional energy as a supporting, confirmatory layer. The output of these five engines is combined using regime-adaptive weighting — based on the current market **Regime** (Bull Trend / Bear Trend / Range / Transition) — into independent **Long Score** and **Short Score** values (0-100). Contradictions between engines are captured separately by a **Penalty** mechanism that only ever reduces the score, while the internal consistency of the evidence is reported through a fully independent **Confidence** value (0-100) that never alters the score itself. A high score paired with low confidence signals an environment that looks attractive but is backed by inconsistent evidence; high score with high confidence signals strong agreement across all evidence families. For quick manual screening, MQE also provides a composite **Grade** (A+ through D), calculated separately for both directions. ## Dashboard Two independent panels are provided: a **Primary Dashboard** (Long/Short Score, Confidence, Regime, and per-engine summaries — shown side-by-side for both the last closed bar and the live bar), and a **Diagnostics Panel** (per-engine breakdowns, penalty sources, raw indicator values, and active confirmation timeframes). ## Timeframe Adaptivity Higher-timeframe confirmation and the AlphaTrend calculation automatically scale to the chart's timeframe (from 5-minute up to weekly), so no manual configuration is required by default; manual overrides remain available for advanced customization. ## Credit The AlphaTrend calculation logic is adapted from the publicly known AlphaTrend concept originally developed by Kıvanç Özbilgiç. ## Disclaimer MQE is not financial advice; it provides a statistical assessment of market conditions only. Past performance or evidence consistency does not guarantee future price behavior. All trading decisions and risk management remain the sole responsibility of the user.
Indicator
by canyoldas00
CM - Bollinger Bands Mean Reversion [CriptoMatiko]This indicator tracks **Bollinger Bands mean reversion signals**, replicating the entry and exit logic of a Python backtester that evaluated 81 long + 81 short parameter combinations on ETH/USDT 4H (Bybit Futures Linear, Mar 2025 – Aug 2026). **The central finding:** the stop loss matters more than the band parameters. | Setup | Direction | SL | Trades | Win Rate | Return | |---|---|---|---|---|---| | Standard (what tutorials teach) | Long | 2% | 110 | 38% | **-22.8%** | | Optimized (indicator default) | Long | 1% | 110 | 38.2% | **+16.0%** | | Buy & Hold ETH (same period) | — | — | — | — | -1.2% | Same indicator. Same band parameters (20, 2.0). Different stop loss. **Short side (optional):** BB(20,2) shorts returned -17.4% — avoid with these settings. The optimizer found that shorts require different parameters: BB(10, 2.5) SL=1% TP=3R → +8.9% (Sharpe 7.81, 23 trades). Enable via the "Allow Short" input and adjust the parameters accordingly. --- **Signal logic:** - Long signal: bar closes **below** the lower Bollinger Band (no open position) - Short signal: bar closes **above** the upper Bollinger Band (no open position) - Entry: executed at the **next bar's open** (no lookahead) **Exit logic — three mechanisms:** 1. **SL**: price hits SL% below (long) or above (short) the entry price 2. **TP**: price hits TP_ratio × risk from entry 3. **BB_UP / BB_DN**: bar closes beyond the opposite band (mean reversion complete) **Default parameters (best Sharpe from 81-config long optimization):** - BB Period: 20 | Std Deviation: 2.0 | Stop Loss: 1.0% | TP Ratio: 2.0R **What makes this different from other BB indicators:** - Parameters derived from a grid search (3 periods × 3 std devs × 3 SL% × 3 TP ratios × long/short/both) - Simulated position tracking: entry marks appear on the next bar's open, matching backtester logic - Three exit mechanisms with distinct markers (SL ✕ / TP ✓ / BB reversion ▽) - SL and TP levels displayed as live lines during open position - Short side included but with honest disclosure: BB(20,2) shorts underperform - Uses ddof=1 standard deviation (biased=false) to match Python pandas behavior exactly **Note:** This is an indicator with simulated position tracking, not a strategy. It shows signals and approximate trade timing for visual reference. For exact backtesting and the full optimizer: see GitHub link below. **Tested on:** ETH/USDT 4H, Bybit Futures Linear. Validate on your own pair before using with real capital. Past performance does not guarantee future results.
Indicator
by Vernon_CriptoMatiko
Ang MTF Clouds + BarCount v2Merges Ripster's EMA Clouds and MTF Clouds into one workspace and adds the execution layer around them: five higher-timeframe clouds (daily + hourly), five clouds on the chart timeframe, opening-range breakout, premarket high/low, a 10:00 ET marker, bar counting from the open, auto-spaced cloud labels, and a Chop/Trend verdict panel. The panel is the reason this exists. Cloud systems are trend-day tools that get chopped up in ranges, so the first question is whether the day is tradeable at all — price trapped inside the premarket range with no 10:00 breakout is a "size down" day regardless of what color the clouds are. Entries at cloud rejections/reclaims, stops at the cloud edge, targets at the next cloud (MTF magnet). Designed for SPY on a 10-minute chart. Note: higher-timeframe clouds repaint intraday (standard request.security behavior), so replay-based backtests will overstate performance. Cloud concept © @ripster47, MPL 2.0.
Indicator
by AngAng007
XauLabs Trend & Range**ENGLISH** **What it does** This indicator answers one question, and only one: is the market currently trending up, trending down, or ranging? It reads pure price structure — confirmed swing highs and swing lows — and states a verdict on the chart. **How it works (full method)** 1. **Swing detection.** A swing high is confirmed only when the highs of the N bars before AND the N bars after are all lower (mirrored for swing lows). N is user-defined, default 7, range 5–21. Confirmation therefore arrives N bars after the actual extreme; the marker is then plotted at its true historical position and never moves again. 2. **Memory.** The script keeps the last two confirmed highs and the last two confirmed lows. 3. **Classification.** - Uptrend: last high > previous high AND last low > previous low. - Downtrend: last high < previous high AND last low < previous low. - Range: anything else, including any state with fewer than two confirmed highs and two confirmed lows. 4. **Close-based invalidation** (optional, on by default). Any bar closing below the last confirmed swing low arms an invalidation flag. While that flag is armed, no uptrend is displayed: the state is forced to Range, even if the swing sequence otherwise qualifies as higher highs and higher lows. The flag is cleared only when a new swing low is confirmed. The logic is mirrored for downtrends, using a close above the last confirmed swing high. Wicks piercing the level do not count — only the close does. This mechanism can only suppress a trend reading, never create one: a trend must always earn its own structure. **Why the delay is deliberate** Signals never appear and later vanish. What the history shows is what would have been visible live. The cost is the N-bar confirmation delay, and it is stated openly rather than hidden behind a repainting display. **On-chart output** - Background tint: green uptrend, red downtrend, grey range. - Triangles marking each confirmed swing high and low. - A two-line state badge in the top-right corner, with selectable size and language (EN/FR). - One alert condition: state change. **Suggested use** Start on H4. When the state reads Range, trend-following setups are structurally out of place — the indicator is meant to be used as a context filter before any entry logic, not as an entry trigger itself. The lower the sensitivity value, the faster and noisier the reading; the higher, the slower and more stable. **Originality** Most trend tools average price (moving averages, oscillators) and therefore lag by construction. This one reads structure only, applies a strict non-repainting confirmation rule, and adds a close-based invalidation layer so that a broken structure is downgraded to Range immediately rather than after the next swing forms. Open source: every rule above is verifiable line by line in the code. This is an educational structure-reading tool. It gives no buy or sell signals and makes no performance claim. Trading involves substantial risk of loss. --- **FRANÇAIS** **Ce que fait l'indicateur** Il répond à une seule question : le marché est-il en tendance haussière, baissière, ou en range ? Il lit la structure pure du prix — sommets et creux confirmés — et affiche son verdict. **Comment il fonctionne (méthode complète)** 1. **Détection des pivots.** Un sommet n'est confirmé que si les N bougies avant ET les N bougies après ont toutes un plus haut inférieur (symétrique pour les creux). N est réglable, 7 par défaut, plage 5–21. La confirmation arrive donc N bougies après l'extrême réel ; le marqueur est ensuite tracé à sa vraie place historique et ne bouge plus jamais. 2. **Mémoire.** Le script conserve les deux derniers sommets et les deux derniers creux confirmés. 3. **Classification.** - Hausse : dernier sommet > précédent ET dernier creux > précédent. - Baisse : dernier sommet < précédent ET dernier creux < précédent. - Range : tout le reste, y compris tant que moins de deux sommets et deux creux sont confirmés. 4. **Invalidation en clôture** (optionnelle, active par défaut). Toute bougie qui clôture sous le dernier creux confirmé arme une invalidation. Tant qu'elle est armée, aucune tendance haussière n'est affichée : l'état reste Range, même si la séquence de pivots remplit par ailleurs la condition sommets et creux ascendants. L'invalidation ne se désarme qu'à la confirmation d'un nouveau creux. Le mécanisme est symétrique en tendance baissière, avec une clôture au-dessus du dernier sommet confirmé. Une mèche qui perce le niveau ne suffit pas — seule la clôture compte. Ce mécanisme peut uniquement supprimer une lecture de tendance, jamais en créer une : une tendance doit toujours prouver sa propre structure. **Pourquoi le délai est assumé** Aucun signal n'apparaît puis ne disparaît. Ce que montre l'historique est ce qui aurait été visible en direct. La contrepartie est le délai de confirmation de N bougies, affiché ouvertement plutôt que masqué derrière un affichage qui se repeint. **Affichage** - Fond teinté : vert en hausse, rouge en baisse, gris en range. - Triangles marquant chaque sommet et creux confirmé. - Un badge d'état à deux lignes dans le coin supérieur droit, avec taille et langue (EN/FR) réglables. - Une condition d'alerte : changement d'état. **Utilisation suggérée** Commencer en H4. Quand l'état affiche Range, les setups de suivi de tendance sont structurellement hors sujet — l'indicateur est conçu comme un filtre de contexte en amont d'une logique d'entrée, pas comme un déclencheur d'entrée. Plus la sensibilité est basse, plus la lecture est rapide et bruitée ; plus elle est haute, plus elle est lente et stable. **Originalité** La plupart des outils de tendance moyennent le prix (moyennes mobiles, oscillateurs) et retardent par construction. Celui-ci lit uniquement la structure, applique une règle de confirmation stricte sans repeinture, et ajoute une couche d'invalidation en clôture pour qu'une structure cassée redevienne Range immédiatement plutôt qu'au pivot suivant. Code ouvert : chaque règle ci-dessus est vérifiable ligne par ligne. Outil éducatif de lecture de structure. Il ne donne aucun signal d'achat ou de vente et ne formule aucune promesse de performance. Le trading comporte un risque de perte important.
Indicator
by XauLabs
Session Levels Pro **Session Levels Pro: PDH/PDL, Asia H/L, Premarket H/L, OR, FVG, POC** A multi-session context tool that plots the key reference levels intraday traders use to read price action, all in one indicator. **What it plots:** - **Previous Day High / Low** — prior session's high and low, drawn as dotted lines - **Asia Session High / Low** — high/low of the Asia trading window (default 18:00–03:00 exchange time), useful for spotting liquidity sweeps into the London/NY session - **Premarket High / Low** — high/low of the pre-market session (default 04:00–09:30), plus **0.5 and 0.618 Fibonacci retracements** of that range — common reaction/reversal zones - **Opening Range (OR)** — a box marking the high/low of the first few minutes after the regular session opens (default 09:30–09:45) - **Fair Value Gaps (FVG)** — 3-candle imbalance zones, auto-drawn as boxes and automatically removed once price trades back through (mitigates) them - **Session POC** — an approximate volume Point of Control for the current day, calculated from a volume-by-price histogram, plotted as a dotted line at the highest-volume price **Why it's useful:** These are the levels many day traders watch for liquidity grabs, mean-reversion, and breakout confirmation — previous day/Asia/premarket extremes often act as support/resistance, the OR defines the day's initial balance, FVGs mark imbalance the market may return to "fill," and POC shows where the heaviest trading activity occurred. **Customization:** Every element (sessions, colors, fib levels, FVG mitigation, POC bin count) is togglable and adjustable in the indicator settings, grouped by feature. **Notes:** - Best on intraday timeframes (1m–15m). - Default session times assume US market hours in exchange timezone — adjust Asia/Premarket/OR session strings in settings if your instrument or broker uses different hours. - POC is an approximation (histogram built from `hlc3` and bar volume), not a true tick-level volume profile.
Indicator
by swansofsydney
Pipstorm & SessionsThis indicator is designed to help traders identify the behavior of price during the major forex trading sessions: Asian, London, New York AM, and New York PM. It automatically highlights each trading session on the chart, making it easy to analyze session ranges, volatility, and market structure. Key Features Automatically marks Asian, London, NY AM, and NY PM sessions. Displays each session's trading range with colored boxes. Helps identify session highs and lows. Useful for spotting liquidity grabs, breakouts, and reversals. Supports Smart Money Concepts (SMC), ICT, and price action trading strategies. Clean and simple visual layout for better chart analysis. How It Can Be Used Trade London breakouts after the Asian session. Identify New York reversals and continuation setups. Monitor liquidity above session highs and below session lows. Improve entry and exit timing using session-based market behavior. Suitable for Gold (XAU/USD), Forex pairs, and major indices. Best Timeframes Works effectively on M5, M15, M30, and H1 charts. Disclaimer This indicator is an analytical tool and should be used alongside proper risk management and market confirmation. It does not guarantee profitable trades.
Indicator
by vibivibin248
MSnR Fresh & Unfresh LevelMSnR Fresh & Unfresh Level This script tracks the real-time strength of support and resistance levels by assigning them one of two states: Fresh or Unfresh. Every new level—whether it is an A Level, V Level, Bullish Gap, or Bearish Gap—starts its life in the strongest possible state: Fresh. As price action continues and interacts with these levels, their state changes based on exactly how price reacts to them. This provides an ongoing read of a level's current structural importance. WHAT MAKES THIS DIFFERENT 1. Dynamic state tracking. Most tools draw a line and leave it there forever. This indicator constantly monitors price interaction with every level. If a level is touched and rejected, its state updates. If it is broken, its state updates again. The chart always shows what the level means right now, not what it meant when it was created. 2. Breakouts revive old levels. A level that has been tested multiple times doesn't just die. If price finally closes through it, breaking out to the other side, that level flips its role (support becomes resistance, or vice versa) and becomes Fresh all over again. 3. Clear visual distinction. The two states are instantly recognizable through color coding. Fresh levels are displayed in deep green, while Unfresh levels are displayed in deep red. You don't need to guess whether a zone has been tested; the color tells you at a glance. 4. Built on market structure. Levels are not arbitrary lines. They are built precisely from A Levels, V Levels, Bullish Gaps, and Bearish Gaps, using the closes as the level prices. This anchors everything in actual market agreement rather than just wicks. THE TWO STATES Fresh The strongest state a level can be in. A level is Fresh under two conditions: - When it is newly created. It has not yet been touched or tested on its current side. - When it undergoes a breakout. If price closes through an existing level, the level flips to the opposite side and becomes Fresh again, because it is entirely untested in its new role. Unfresh A level that has been tested but still holds. A level becomes Unfresh when price comes back to it, touches it with a wick (High or Low), and gets rejected without closing through it. This means the market has reacted to the level at least once. While still a valid reference point, it is structurally weaker than a Fresh level. HOW A LEVEL CHANGES STATE Every level is continuously re-evaluated against new price action. The state transitions work like this: Rejection -> Unfresh For a resistance level (A Level, Bearish Gap), if the High touches the level but the Close stays below it, the level has been rejected and becomes Unfresh. For a support level (V Level, Bullish Gap), if the Low touches the level but the Close stays above it, the level has been rejected and becomes Unfresh. Breakout -> Fresh (and Flip) For a resistance level, if price Closes above it, this is a breakout. The level flips to become support and becomes Fresh again. For a support level, if price Closes below it, this is a breakout. The level flips to become resistance and becomes Fresh again. Breakouts always take priority. If a single candle touches a level and then closes through it, that is a breakout, not a rejection. A single level can toggle back and forth between Fresh and Unfresh many times as it gets rejected, broken, rejected again, and broken again. READING THE CHART The visual language is straightforward: - Green line and green label: The level is currently Fresh. - Red line and red label: The level is currently Unfresh. Both the line and the label update their color automatically when a level changes state. Lines extend forward from the point the level was created, and the label sits at the origin. You can easily spot clusters of Fresh levels or areas where multiple Unfresh levels indicate heavy previous testing. SETTINGS Scan - Scan Length (closed candles): how many closed candles are scanned backwards. Every level inside that window is monitored and drawn. Display - Show Fresh Levels: Toggle visibility of levels currently in the Fresh state. - Show Unfresh Levels: Toggle visibility of levels currently in the Unfresh state. - Show Text Labels: Toggle the text labels on the levels. Style - Fresh Level Line Color: The color of the line for levels currently in the Fresh state. - Unfresh Level Line Color: The color of the line for levels currently in the Unfresh state. - Label Offset (ticks): How far the label sits above or below the level. This is measured in ticks, so adjust it depending on the asset you are trading. - Label Size: The size of the text labels drawn at each level. ALERTS Three alert conditions are available: Fresh Created, Fresh -> Unfresh, and Unfresh -> Fresh. Each message carries the event type, the symbol, the timeframe and the closing price. The same messages are also sent through the alert function, so the "Any alert() function call" alert type can deliver everything through a single alert. All alerts are evaluated only after a candle has fully closed. REPAINTING This script does not repaint. - Detection reads confirmed candles only. The scan starts one bar behind the latest bar, so the candle that is still forming is never part of any calculation. - Alert signals can only become true once a candle has finished. Price moving inside an open candle cannot make a signal appear and then disappear. - Levels are rebuilt on the last bar from confirmed history. A level's price never moves. Its state can change, but only forward and only when a candle CLOSES through it or rejects from it. Once drawn, nothing shifts backwards. When you create an alert, PulseWire may show a caution banner saying the indicator can repaint. That banner appears automatically for any script that uses the built in bar state variables, no matter how they are used, because the platform cannot check the intent behind them. This script uses them for the opposite purpose: one of them is what restricts every signal to bar close, and the other is what redraws the levels efficiently on the final bar. Choosing "Once Per Bar Close" when creating the alert is still recommended. NOTES AND LIMITATIONS - This chart can become dense. Since every candle pair forms a level, a wide scan window will produce many levels. If you want fewer lines, lower the Scan Length. - PulseWire caps drawings at 500 lines and 500 labels. A very long Scan Length will hit that ceiling and the oldest drawings will be dropped. The default is chosen to stay well inside it. - The label offset is measured in ticks, and a tick is worth a very different amount on a crypto pair than on a forex pair. Expect to adjust it when you move between symbols. - Level prices come from closes, so a level can sit in the middle of a long wick. That is deliberate, not a bug. - The same level can toggle between Fresh and Unfresh multiple times. This is the intended behavior reflecting the ongoing story of market structure. HOW TO USE IT Use the states to gauge the strength of support and resistance zones. Fresh levels represent untouched, maximum-strength zones, making them ideal areas to watch for initial reactions. Unfresh levels indicate areas where price has already struggled, showing proven but potentially weakening support or resistance. When multiple Fresh levels cluster together, it signals a highly confluent, untested zone. Breakouts that convert a cluster of old levels into Fresh levels in the opposite direction can signal significant structural shifts. These are structural references, not automatic entry signals. Use them alongside higher timeframe context, and apply your own confirmation and risk management. DISCLAIMER This indicator is a level detection tool. It is not financial advice and it makes no claim about profitability. Trading involves risk. Always apply your own analysis and risk management.
Indicator
by RWBTradeLab
Momentum Map Lite [PrimeFold]Four stochastic oscillators, read as one alignment score from 0/4 to 4/4. Free, no signals, no alerts. Momentum Map Lite runs four stochastic oscillators at different lookbacks (fast, mid, slow, anchor) and plots their D-lines in one pane.) You read one alignment score instead of watching all four: - 4/4 BULL: all four turning up from oversold - 4/4 BEAR: all four turning down from overbought - Anything between: partial alignment, no full rotation The background shades only at 4/4, and only on a closed bar, so it doesn't repaint. The dashboard shows the current rotation count plus the strongest and weakest of the four. It doesn't generate alerts, give entry signals, or detect divergence. This is the alignment read. Check whether momentum agrees across the four before you act on any one of them.
Indicator
by CollinNerdahl
1
RSI MACD + Bollinger Bands & VWAP Toolkit [OT]This indicator combines RSI, MACD, Bollinger Bands, VWAP, and a simple momentum status table into one clean toolkit. It is designed to help traders check momentum, volatility, and intraday price position without adding multiple separate indicators to the chart. Main features: - RSI with 70 / 50 / 30 reference levels - Normalized MACD histogram in the RSI panel - Optional MACD signal lines - Bollinger Bands displayed on the main chart - Session VWAP displayed on the main chart - Momentum background based on RSI, MACD, and VWAP conditions - Status table showing Bias, Score, RSI, MACD, and Volatility Default settings: - RSI: 14 period - MACD: 12 / 26 / 9 - Bollinger Bands: 20 period, 2 standard deviations - VWAP: Session VWAP, hidden on daily or higher timeframes by default - Momentum Score: 0 to 3 based on RSI position, MACD signal, and MACD histogram This indicator does not generate automatic buy or sell signals. It is intended as a visual reference tool for trend, momentum, volatility, and market condition analysis. Please use it together with your own strategy, risk management, and other forms of analysis. 이 지표는 RSI, MACD, 볼린저 밴드, VWAP, 모멘텀 상태표를 하나로 합친 깔끔한 트레이딩 툴킷입니다. 여러 개의 지표를 따로 추가하지 않아도 모멘텀, 변동성, 장중 가격 위치를 한 화면에서 확인할 수 있도록 제작했습니다. 주요 기능: - RSI 70 / 50 / 30 기준선 - RSI 패널 안에 정규화된 MACD 히스토그램 표시 - 선택 가능한 MACD 시그널 라인 - 메인 차트 위 볼린저 밴드 표시 - 메인 차트 위 세션 VWAP 표시 - RSI, MACD, VWAP 조건을 기반으로 한 모멘텀 배경색 - Bias, Score, RSI, MACD, Volatility 상태표 제공 기본 설정: - RSI: 14 기간 - MACD: 12 / 26 / 9 - Bollinger Bands: 20 기간, 표준편차 2 - VWAP: 세션 VWAP, 기본적으로 일봉 이상에서는 숨김 - Momentum Score: RSI 위치, MACD 시그널, MACD 히스토그램 기준으로 0~3점 표시 이 지표는 자동 매수/매도 신호를 제공하지 않습니다. 추세, 모멘텀, 변동성, 시장 상태를 시각적으로 참고하기 위한 도구이며, 본인의 전략과 리스크 관리, 다른 분석과 함께 사용하는 것을 권장합니다.
Indicator
by OO_CH
Strong Gold NN Forecast | ProjectSyndicateStrong Gold NN Forecast turns the last five days of Gold into a single question, answered by a genuine neural network: where are today's HIGH and LOW most likely to land? Instead of a restyled oscillator, it runs a real multi-layer perceptron — trained offline on XAUUSD daily history, its weights baked into the script — and performs the forward pass live on your chart. Every new daily candle, it reads only completed bars, locks a forecast for that day's High, Low and Close at the open, and never moves it again. The whole network is drawn on the chart as an inspectable diagram — input, three hidden layers, output — with every node lit by its live activation and every connection weighted by the signal flowing through it. And every forecast that resolves is scored on a live accuracy panel against a naïve baseline — hits and misses alike — so you judge it on the instrument you trade, not on a number typed into a description. 🧠 Neural Core — the model is a 6·6·6·6·3 multi-layer perceptron: six inputs, three hidden layers of six tanh neurons, and three linear outputs, for 147 trained weights and biases. Its lifecycle each bar is FEATURE ▸ NORMALISE ▸ FORWARD ▸ RECONSTRUCT. The network was trained by backpropagation offline on XAUUSD daily data; the learned weight matrices are embedded directly in the script and the on-chart forward pass — weighted sums, biases, and tanh activations, layer by layer — reproduces the trained model exactly. Nothing is trained on your chart, so the mapping is fixed and deterministic. 🔢 Feature Anatomy — the fingerprint is six percentage-based ingredients, all derived from the last five completed days of OHLC plus RSI: 5-day momentum (mean daily return), range position (where the last close sits inside the 5-day high-low range), RSI(14) centred at 50, the 5-day average daily range %, the 5-day average candle body %, and a short-vs-medium momentum acceleration. Working in percentage space rather than raw price is what lets a model learn from a market that ran from the 2,600s into the 4,000s without the price level itself dominating the signal. 🧊 Frozen at the Open — this indicator does not repaint. Every input is read from candles that have already closed, and the forecast is anchored to the last completed close. That means the projected High, Low and Close for the current day are computed once when the candle opens and stay fixed until it closes — no sliding lines, no intrabar drift, no numbers that quietly improve as the session plays out. 🧭 No-Lookahead Normalisation — the part most on-chart ML gets wrong. Each feature is standardised against a causal rolling window of past bars only, computed live and identically to training. No future statistic ever touches a historical prediction: the forecast printed on any past bar is identical whether or not the bars after it exist. This is verified, not assumed. 📐 Volatility-Normalised Targets — the network does not predict raw High% and Low%; it predicts each excursion in units of the recent daily range, which the script measures live. The output is then rebuilt into a four-digit Gold price. Because the size of the move is expressed relative to current volatility, the same learned shape adapts automatically as the market shifts between calm and violent regimes instead of freezing the behaviour of the period it was trained on. 🕸️ Live Network Map — the model is not a black box. The full network is drawn to the right of price: an input column labelled with each feature, three hidden columns, and an output column carrying the four-digit High, Low and Close. Every node is shaded by its live activation and every connection is coloured by weight sign and brightened by the signal passing through it, so you can watch which inputs and pathways are actually driving today's forecast. 📊 Live Accuracy Panel — a compact dashboard reports, in real time: the setup and anchor close, the frozen High/Low/Close forecast with its implied % move and range, each input as a live z-score, and a running mean absolute error of the High and Low forecasts measured against the actual bars — shown next to the error of a naïve recent-range baseline. Every resolved forecast is counted, winners and misses in full, so the number is built live on your symbol and timeframe rather than advertised in advance. 🎚️ Controls — the map's size, horizontal position, column spacing, connection glow, node values and connection drawing are all adjustable, as are the forecast projection length, the shaded High-Low range, the historical prediction track, line width, two themes, and the dashboard's position and size. None of these change the model — they change how you read it. 🎯 Why this is different — most "AI" indicators restyle an oscillator and call the top; most that claim a neural network never show one. This runs an actual trained MLP, draws it live, normalises its inputs causally so there is no lookahead, freezes each forecast at the open so it cannot repaint, and reports an honest error tracked against a baseline instead of a marketing figure. You can see the network, see the inputs, and see how it has actually done on your chart. 🚀 Where to use it — the model was trained specifically on XAUUSD on the Daily timeframe, and that is where it is designed to run; the dashboard flags the setup when the symbol or timeframe differs. The first bars of any chart are a warm-up while the causal normalisation window fills, after which the forecast and the live accuracy panel come alive. 🎯 How to trade it 1 Apply it to XAUUSD on the Daily chart and let the causal window warm up until the dashboard reads a live forecast and the accuracy panel starts counting. 2 At each new daily candle, read the frozen High / Low / Close forecast and the shaded projected range — it is locked at the open and will not move. 3 Check the Live Accuracy panel: the High and Low mean-absolute-error against the naïve baseline tells you, on your own data, whether the model is adding anything right now. 4 Use the projected High and Low as context for where the session may stretch to — a reference for targets, fades, and stop placement — not as an automatic entry. 5 Combine the forecast with your own structure, levels, and risk management. It describes a likely daily envelope; it is not an entry-and-exit system on its own. ⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. It is a fixed, pre-trained model: the weights were learned once on XAUUSD daily history and do not adapt on your chart, so bars inside that training period are in-sample by nature — genuine out-of-sample behaviour is what you see going forward on the live panel. In leakage-free walk-forward testing the network's High/Low error modestly beat a naïve recent-range baseline (strongest on the Low), at roughly 0.7–0.9% of price; that is a small, real edge, not a crystal ball, and on some periods it will sit close to the baseline. Forecasting a single day's exact high and low is inherently hard, and a sharp regime shift or a shock can run straight through any daily envelope. It is deliberately a small network — larger nets overfit this much daily data and test worse. Always wait for the candle to open so the forecast is frozen, and test it on your own data before trading it live.
Indicator
by ProjectSyndicate
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