Inizia

Supertrend

Conflux 4 | AnonycryptousConflux 4 | Anonycryptous Description & user manual Why this indicator is different Most signal indicators fire on one condition. Price crosses a moving average. RSI hits a level. A candle closes above a line. One condition. One trigger. And because one condition alone is never enough, the signals come constantly — in trends, against trends, in chop, in news spikes — with no filter for whether the setup actually makes sense. Conflux 4 works differently. It does not fire on one condition. It requires four independent filters to agree at the same moment, in the same direction, before anything appears on the chart. Trend, momentum, volatility structure, and trend strength. All four. If one filter disagrees, nothing is drawn. Not a reduced signal. Nothing. The result is an indicator that is quiet most of the time — and deliberate when it speaks. When a signal does appear, Conflux 4 does not just mark a dot and leave you to figure out the rest. It draws a complete trade block automatically: entry, stop, and up to four take profit levels. The stop trails dynamically after the first target is reached, moving to breakeven and continuing from there. The trade is managed visually until it resolves. The dashboard shows the live state of every filter at all times, so you always know why a signal appeared — or why it did not. Important notice Conflux 4 generates signals based on technical filter alignment. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Conflux 4 is a four-filter confluence signal indicator. A signal only fires when all four filters align simultaneously in the same direction. When that happens, a complete trade block is drawn including entry, stop, and take profit levels. What it includes: - Four-filter confluence engine: trend, momentum, volatility structure, and trend strength - Four presets: scalp, daytrader, swing, and manual - Three stop modes: Supertrend trailing, ATR cap, and fixed percentage - Automatic trade block with up to four take profit levels - Dynamic trailing stop that activates after TP1 and moves to breakeven - Live dashboard showing the state of every filter in real time - Configurable signal cooldown, bar coloring, and background shading - Alerts for bullish and bearish signal events 2. The four filters A signal is only valid when all four conditions align. 2.1 Trend filter — VWMA and EMA alignment Price must be above the volume weighted moving average and the fast EMA must be above the slow EMA for a bullish signal. Reverse for bearish. This confirms alignment with the prevailing macro trend before anything else is evaluated. 2.2 Momentum filter — RSI threshold RSI must be above the configured bullish threshold (default 55) for long signals, or below the bearish threshold (default 45) for short signals. This filters out setups forming in low-momentum environments where follow-through is less reliable. 2.3 Volatility filter — Supertrend The Supertrend indicator must confirm the same direction as the trend filter. Because Supertrend adapts to volatility using ATR, it naturally avoids triggering during minor fluctuations and choppy price action. 2.4 Trend strength filter — ADX ADX must be above the configured threshold (default 25) to confirm a directional environment. Below this level, price is typically ranging and confluence signals carry less weight. The ADX filter can be disabled if you prefer to evaluate trend strength manually. If any single filter is not in agreement, no signal is generated. 3. Presets Conflux 4 includes four preset configurations that adjust the stop mode and risk/reward levels to suit different trading styles. -Scalp Designed for short timeframes and futures scalping. Stop mode: ATR cap. Take profit levels: 0.5R / 1.0R / 1.5R / 2.0R. -Daytrader Designed for mid-timeframe trading on 15 minute to 1 hour charts. Stop mode: Supertrend trailing. Take profit levels: 0.5R / 1.0R / 2.0R / 3.0R. -Swing Designed for higher timeframe trading on 4 hour and daily charts. Stop mode: Fixed percentage. Take profit levels: 1.0R / 1.5R / 2.5R / 3.5R. -Manual Full control over all parameters. No preset overrides apply. 4. Stop modes 4.1 Supertrend The stop follows the Supertrend line dynamically for the duration of the trade. This allows the stop to trail price as long as momentum holds. 4.2 ATR cap The stop is based on the Supertrend level but capped at a maximum distance defined by an ATR multiplier. This prevents the stop from becoming too wide in volatile conditions. 4.3 Fixed percentage The stop is placed at a fixed percentage below the entry for long trades and above the entry for short trades. The distance does not change after entry. 5. Trade block logic When a signal fires, the trade block is drawn automatically: - Entry line at the signal bar close - Stop line at the calculated level based on the active stop mode - Up to four take profit lines at configurable risk/reward ratios - Visual zone shading between entry and stop, and between entry and each take profit Trailing behavior: Before TP1 is reached, the stop holds its initial position. After TP1 is reached, the stop moves to breakeven and begins trailing dynamically. The stop only moves in the direction of the trade — it never moves against it. The trade block remains active until the stop is hit or the Supertrend flips direction. After resolution, the block is cleared and the indicator is ready for the next setup. 6. Dashboard The dashboard displays the live state of every filter and the current trade situation. It updates on every bar close. Rows displayed: - Trend — overall direction from VWMA and EMA alignment - VWMA — whether price is above or below the VWMA - EMA — whether the fast EMA is above or below the slow EMA - RSI — current RSI value and whether the momentum threshold is met - Supertrend — current Supertrend direction - ADX — current ADX value and whether the trend strength threshold is met - Confluence — number of filters currently in agreement - Stop mode — active stop mode in use - Last signal — how many bars since the last signal fired - Cooldown — whether the cooldown period is still active - Trade — current trade state: none, long, or short - TP progress — which take profit levels have been reached The dashboard header color reflects the current trend direction. 7. Settings Trend filters - VWMA length: period of the volume weighted moving average used as the primary trend filter - Fast EMA / Slow EMA: periods of the two exponential moving averages used for secondary trend confirmation - Show EMA lines: toggle EMA visibility on the chart - EMA colors and line width: visual styling options Momentum - RSI length: period for the RSI calculation - Bullish threshold: RSI must be above this level for a long signal (default 55) - Bearish threshold: RSI must be below this level for a short signal (default 45) Volatility and Supertrend - ATR length: period for the ATR calculation used by the Supertrend - Supertrend multiplier: sensitivity of the Supertrend — higher values produce fewer flips - Show Supertrend line, fill, and color options ADX - Enable ADX filter: toggle the trend strength requirement on or off - ADX length: period for the ADX calculation - ADX threshold: minimum ADX value required for a signal (default 25) Signal settings - Signal cooldown: minimum number of bars between two signals - Show signals, signal text, background shading, and bar coloring Trade block - Show trade block: toggle the full trade block visualization - Stop mode: Supertrend, ATR cap, or fixed percentage - ATR cap multiplier and fixed percentage stop size - Take profit levels: four configurable RR ratios - Visual styling for stop, entry, and take profit lines Dashboard - Position: top left, top right, bottom left, or bottom right - Size: tiny, small, or normal - Visibility toggle 8. How to use Select a preset or switch to manual and configure the filters to match your trading style and timeframe. Choose a stop mode. Supertrend is best for trending markets where you want the stop to follow price. ATR cap limits the maximum stop size. Fixed percentage suits swing trades where a known maximum loss matters more than trailing. Set your risk/reward take profit levels. Monitor the dashboard. When all four filters align, the confluence count reaches four and a signal fires. The trade block is drawn automatically. A green marker indicates a bullish signal. A red marker indicates a bearish signal. The trade block shows the full setup from entry to each take profit level. Decision-making remains entirely with the user. 9. Notes Low signal frequency is intentional. Four filters aligning simultaneously is a selective condition. Signals will not appear on every bar or even every session. That is by design. Higher timeframes generally produce more stable signals. On lower timeframes the ADX threshold may need to be lowered or disabled to account for faster price structure. Signals are more meaningful when they form at key structural levels such as support, resistance, or liquidity zones. Conflux 4 does not evaluate those levels — that context comes from the trader. The ADX threshold can be adjusted for markets that tend to range. Lowering it increases signal frequency. Raising it makes the filter more selective. 10. Disclaimer This indicator is provided for educational and informational purposes only. All outputs are based on historical price action calculations and do not guarantee future results. Trading financial instruments involves significant risk of loss. Past performance does not indicate future results. Use at your own discretion.
Indicatore Pine Script®
di Anonycryptous
SupOsc + SSL + Willy SignalsWhat It Does This is a confluence signal indicator that combines three separate technical indicators and only fires a buy or sell signal when all three agree simultaneously. The idea is to reduce false signals by requiring multiple independent conditions to align before triggering an entry. It plots simple B (buy) and S (sell) labels directly on your chart. The Three Indicators 1. SuperTrend Oscillator (SupOsc) A normalized oscillator built from a SuperTrend calculation. Rather than plotting the SuperTrend line itself, it measures how far price is from the SuperTrend bands and converts that into an oscillator value between -1 and +1. A smoothed EMA histogram runs underneath it. For signals, it watches for the oscillator crossing the -0.50 level upward (buy) or crossing the +0.50 level downward (sell). Think of it as a momentum/trend confirmation filter. 2. SSL Channel A simple but effective trend direction tool that uses SMAs of the highs and lows to determine whether price is in a bullish or bearish regime. When the upper SSL line is above the lower line, it's bullish. When below, it's bearish. The signal requires SSL to be confirming the same direction as the SupOsc before anything fires. 3. Williams %R A momentum oscillator that measures where price closed relative to its recent high-low range, on a scale of 0 to -100. The indicator checks the previous candle's Williams %R reading — requiring it to have been in oversold territory (below -80) for buys, or overbought territory (above -20) for sells. This acts as a pullback/exhaustion filter, helping you buy dips and sell rips rather than chasing. Does It Repaint? Largely no, but with one caveat to be aware of. The SupOsc and Williams %R components are calculated purely on current timeframe bars using standard closed-bar data — no repainting there. The SSL component uses request.security() with lookahead=barmerge.lookahead_off, which is the correct, repaint-safe setting. However, if you set the SSL Timeframe to a higher timeframe than your chart, the SSL values will only update when that higher timeframe bar closes — meaning mid-bar the value reflects the previous completed HTF bar, which is standard and expected behavior, not true repainting. The Williams %R check also looks at wR (the previous bar's value), which is already a closed bar — safe. Bottom line: Signals that appear on a closed bar will not disappear or move. Signals on the current live bar could technically shift if conditions change before the bar closes, which is true of virtually any indicator. Personally I find it works best for confirmations when combined with the CCI as seen in the image below.
Indicatore Pine Script®
di parkerberlinger
Position Sizing CalculatorA simple automated calculator that shows how many shares can be bought or sold if a specific maximum amount is to be risked on the position. The risk per share is assumed to be the distance to the respective buy or sell line of the Supertrend indicator. This is based on a calculation of the ATR for the last ten days, which is multiplied by a fixed factor and plotted against the highest or lowest candle of the past ten days. The parameters can be changed manually. By default, a risk of $500 per trade is assumed. For each of the last bars, the calculator displays the distance to the calculated exit and, through a simple division, calculates the number of shares that could be bought or sold in a potential long or short position to achieve this hypothetical maximum risk. Of course, there is no guarantee that the respective price will actually be reached, but the calculator can help provide a reference point for sizing the position. The principle is clearly visible in the screenshots: FRT is a stock that moves slowly and is only a short distance from the stop-loss level. At the current price of $114.47 and a calculated stop at $108.99, 91 shares could be purchased to risk $500. In total, that would be an order of $10,416.77 for a long position. SOUN, on the other hand, has a very wide margin to the stop-loss; it is a stock with high volatility. Therefore, only 300 shares can be purchased here to achieve the same hypothetical risk. The position would thus be worth only $2,841. Designed by tuvot_1a, programmed by Claude.
Indicatore Pine Script®
di tuvot_1a
1
XAUUSD Asymmetric Trend [MatsukazeAlgo]🇬🇧 ENGLISH Gold trends differently depending on when you trade. During Asia, stop runs reverse. During London and NY, breakouts keep running. A fixed-parameter trend indicator ignores this — it applies the same sensitivity 24 hours a day. This indicator adapts its asymmetric thresholds per session automatically. Based on Asymmetric Volatility Trend Line by QuantAlgo . Gold-optimized with 6 additions. How the Asymmetry Works The trend line uses different evidence requirements for continuation vs reversal. Continuing a trend requires less price movement. Reversing requires more. This makes the trend sticky — once it starts, it does not flip on small pullbacks. The Gold version changes these ratios per session: Asia (19:00–03:00 ET): 0.7x continuation / 1.0x reversal. Easier to reverse. Matches the stop-run reversal pattern that dominates Gold during Asian hours. London (03:00–09:00 ET): 0.3x continuation / 1.0x reversal. Much harder to reverse. Breakouts during London tend to run. The indicator lets them. NY (09:00–17:00 ET): 0.3x continuation / 1.0x reversal. Same as London. NY session momentum is real — the trend line follows it without flipping on noise. Daily and higher timeframes use the original 0.5x/1.0x ratio since session distinctions do not apply. The dashboard shows the active ratio (e.g. "LDN 0.3x/1.0x") so you always know which mode is running. DXY Bias Bull signals only fire when the US Dollar Index is weakening (DXY below its EMA). Bear signals only fire when DXY is strengthening. Gold and USD move inversely — this filter removes signals that fight the macro trend. Psych Level Awareness (off by default) When enabled, the volatility threshold tightens by 25% near $50 and $100 round numbers. Gold reacts at these levels. The tighter threshold makes the trend line more sensitive to reversals near round numbers, catching turns that a fixed threshold would miss. Reversal markers switch from ◆ to gold-colored ◆ when near a psych level. Visual Design The default view is minimal: a single trend line with a gradient fill. No labels, no signals, no background colors. Enable signals (▲▼), bar coloring, and session backgrounds individually from settings. Presets Default: Swing trading on 4H and Daily. Balanced sensitivity. Fast Response: Intraday on 5min to 1H. Lower threshold, faster reaction. Smooth Trend: Position trading on Daily and Weekly. Higher threshold, fewer flips. Credits Original asymmetric volatility concept by QuantAlgo . Session-adaptive asymmetry, DXY integration, psych level tightening, and Gold-specific tuning by MatsukazeAlgo. --- 🇯🇵 日本語 ゴールドのトレンドはセッションによって違う。アジアではストップ狩りが反転する。ロンドンとNYではブレイクアウトがそのまま走る。固定パラメータのトレンドインジケーターはこの違いを無視する。 このインジケーターはセッションごとに非対称の閾値を自動で調整する。 QuantAlgoのAsymmetric Volatility Trend Lineをベースに、ゴールド専用の6つの改良を追加。 非対称のしくみ トレンドラインは「継続」と「反転」で異なる証拠を要求する。継続には小さな動きで十分。反転には大きな動きが必要。一度始まったトレンドは小さなプルバックでは反転しない。 ゴールド版はこの比率をセッション別に変える： アジア（19:00–03:00 ET）：継続0.7x / 反転1.0x。反転しやすい設定。 ロンドン（03:00–09:00 ET）：継続0.3x / 反転1.0x。反転しにくい設定。ブレイクアウトが走る。 NY（09:00–17:00 ET）：継続0.3x / 反転1.0x。ロンドンと同じ。 日足以上はオリジナルの0.5x/1.0x。ダッシュボードに現在の比率が表示される。 DXYバイアス Bull = DXY弱い時のみ。Bear = DXY強い時のみ。ゴールドとドルは逆相関。マクロトレンドに逆らうシグナルを除外。 心理的価格帯（デフォルトOFF） ONにすると、$50/$100付近でボラティリティ閾値が25%縮小。トレンドラインが反転に敏感になる。 ビジュアル デフォルトはトレンドラインとグラデーションfillのみ。シグナル（▲▼）、バーの色、セッション背景は設定で個別にON可能。 プリセット Default：スイング（4H/日足）。Fast：デイトレ（5分〜1時間）。Smooth：ポジション（日足/週足）。
Indicatore Pine Script®
di MatsukazeAlgo
UCY-VWATR (live)═══════════════════════════════════════ UCY-VWATR — Volume Weighted ATR Bands with Supertrend ═══════════════════════════════════════ ▸ OVERVIEW A volatility-band indicator that combines a Volume Weighted Moving Average (VWMA) center line with ATR-based deviation bands and a Supertrend overlay for trend direction. The indicator visualizes how far price extends from its volume-weighted mean in units of Average True Range, while the Supertrend acts as a dynamic trend filter. ═══════════════════════════════════════ ▸ HOW IT WORKS - VWMA forms the central reference band (default: 20 period), giving more weight to bars with higher volume than a standard moving average. - ATR (default: 14 period) generates three pairs of upper and lower deviation bands at ±1, ±2, and ±3 multiples — mapping volatility expansion zones around the mean. - Supertrend (default: 10 period, factor 3.0) determines the prevailing trend direction. Green = uptrend, Red = downtrend. - Body-middle (the midpoint of each candle's open and close) is compared against each band. When the body crosses beyond a band in the direction of the active trend, a colored fill appears — darker fills indicate stronger displacement from the mean. ═══════════════════════════════════════ ▸ HOW TO READ THE FILLS In an UPTREND (green Supertrend): - Body above VWMA → light green fill (mild momentum) - Body above +1 ATR → medium green - Body above +2 ATR → strong green - Body above +3 ATR → extreme green (potential exhaustion) In a DOWNTREND (red Supertrend): - Body below VWMA → light red fill - Body below -1 ATR → medium red - Body below -2 ATR → strong red - Body below -3 ATR → extreme red (potential exhaustion) The intensity of the fill provides an at-a-glance read of how stretched price is relative to its volume-weighted mean. ═══════════════════════════════════════ ▸ POTENTIAL USE CASES - Trend-following: Enter in the direction of the Supertrend when price pulls back to VWMA or ±1 ATR band. - Mean reversion: Look for exhaustion signals when price reaches ±3 ATR bands against the prevailing trend. - Breakout confirmation: A break and hold above/below ±1 ATR in the direction of a fresh Supertrend flip can act as trend confirmation. - Volatility context: Wider band spacing signals high volatility regimes; narrow bands indicate compression. ═══════════════════════════════════════ ▸ SETTINGS - VWMA Length: 20 (medium-term balance) - ATR Length: 14 (classic Wilder period) - ATR Multipliers: 1.0 / 2.0 / 3.0 - Supertrend ATR Length: 10 - Supertrend Factor: 3.0 All parameters are user-adjustable to fit different timeframes and instruments. Lower multipliers suit ranging markets; higher multipliers suit trending or volatile assets. ═══════════════════════════════════════ ▸ NOTES - Works on all timeframes and instruments (stocks, futures, forex, crypto). - VWMA requires volume data — best results on instruments with reliable volume feeds (avoid forex spot pairs without aggregated volume). - Designed as a visual decision-support tool, not a standalone signal generator. ═══════════════════════════════════════ ⚠️ DISCLAIMER This indicator is published for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading decisions and their outcomes are the sole responsibility of the user. Past performance does not guarantee future results.
Indicatore Pine Script®
di ugurcagriyilmaz
2
Regression Deviation Channel [JOAT]Regression Deviation Channel Introduction The Regression Deviation Channel is an institutional-style statistical trend and execution framework built around segmented regression, deviation envelopes, premium/discount zoning, breakout qualification, and risk mapping. Instead of acting like a plain moving-average channel, it models price through a best-fit regression path, measures dispersion with RMSE, then classifies where price is trading inside that structure: discount, equilibrium, or premium. This version is designed to feel more like a desk-grade directional map than a simple overlay. It combines a frozen regression segment, internal band hierarchy, confidence scoring, Supertrend stack alignment, breakout detection, and ATR-based trade mapping into one visual structure. The goal is not just to show where price is, but whether the current move is balanced, compressed, expanding, or resolving. Why This Indicator Exists Most channels are too simple. They show boundaries but do not explain what price is doing inside those boundaries. This indicator was built to solve that by combining: Segmented Regression: Tracks the current directional price path with a proper best-fit slope Deviation Architecture: Uses RMSE to define statistically meaningful channel width Premium / Discount Zoning: Splits the channel into expensive, fair value, and cheap territory Breakout Qualification: Scores breakout quality using slope, participation, structure, and location Trend Stack Context: Adds Supertrend alignment to distinguish strong directional pressure from noise Trade Mapping: Builds clean ATR-based stop and multi-target projections after confirmed breaks The result is a regression channel that does more than draw lines. It gives context, bias, execution framing, and visual hierarchy. Core Components Explained 1. Segmented Regression Engine = f_ols(winLen) basisVal = intercept + slope * float(barsInSeg - 1) upperVal = basisVal + rmse * multiplier lowerVal = basisVal - rmse * multiplier The core engine uses manual ordinary least squares regression to calculate the channel basis. Once the segment matures, the regression values are frozen and projected forward until price resolves beyond the envelope. This “freeze and resolve” behavior keeps the channel visually stable instead of constantly shifting every bar. 2. RMSE Deviation Structure Root mean squared error defines channel width, making the envelope responsive to how tightly price is hugging the trend. Tight RMSE = cleaner trend structure Wide RMSE = unstable or volatile structure Internal bands split the envelope into inner, quarter, and outer zones These nested bands create a true structure ladder instead of a single upper/lower shell. 3. Premium / Discount Channel Arrays The channel is separated into three value areas: Premium: Upper edge territory where price is extended and expensive relative to the current regression path Equilibrium: The center band around fair value and neutral orderflow balance Discount: Lower edge territory where price is cheap relative to the active path This makes the indicator more useful for directional context: Bull channels pressing premium signal strong continuation pressure Bear channels pressing discount signal strong downside control Repeated failure to hold premium/discount can signal exhaustion or rebalancing 4. Breakout Confidence Model Breakouts are not treated equally. The indicator scores breakout quality using four ingredients: Participation: Distance from the regression basis normalized by ATR Slope Force: Strength of the normalized regression slope Location: Whether price is already pressing the outer structure Alignment: Whether price direction and Supertrend stack agree with the channel breakoutConfidence = participation + slopeForce + location + alignment This helps separate lazy drifts from high-quality channel resolution. 5. Supertrend Ribbon Stack The Supertrend layer is not there as a generic add-on. It acts as a second-order directional filter. Bull channel + bull Supertrend = higher-quality directional stack Bear channel + bear Supertrend = stronger downside stack When regression and Supertrend disagree, price is more likely in transition The fill between regression basis and Supertrend visually shows whether pressure is aligned or conflicted. 6. ATR Risk Map After a confirmed breakout, the indicator projects: 1 ATR-based stop level 3 reward targets using configurable risk-reward multiples Auto-expiring lines so stale trade maps are removed This gives the channel direct execution value instead of leaving the user to manually measure every move. Visual Elements Metallic Basis Line: Gold-toned centerline for the active regression basis Outer Deviation Shell: Main channel boundaries with glow Inner Structure Bands: Internal ladder for pressure staging Premium / Discount Fills: Separate upper and lower value zones inside the channel Equilibrium Fill: Neutral fair-value region Supertrend Ribbon: Context layer showing secondary directional alignment Iridescent Candles: Candle coloring that intensifies as control and confidence improve Breakout Markers: Compact signals for confirmed resolves Readiness Diamonds: Pre-break alignment markers when channel conditions are strong The visual hierarchy is designed so you can read the channel at a glance without relying on heavy objects or clutter. Dashboard The dashboard is intentionally compact and fixed to the right side. It shows only the highest-signal metrics: Bias Regime Flow Channel Position Confidence Compression Trend Stack Trade Map How to Use This Indicator Step 1: Identify Channel Bias Check whether the regression slope is bullish or bearish. That defines the primary directional path. Step 2: Read Value Location See whether price is trading in premium, equilibrium, or discount. This tells you whether price is extended or balanced inside the channel. Step 3: Watch Trend Stack Alignment When Supertrend and regression agree, directional pressure is cleaner. When they disagree, reduce conviction. Step 4: Monitor Confidence Use the breakout confidence score to judge whether price is merely drifting or building a meaningful resolution. Step 5: Trade the Resolve, Not the Noise Use breakout markers and ATR map levels when price exits the frozen envelope with qualified pressure. Best Practices Use higher timeframes for cleaner channel geometry Treat equilibrium as fair value, not a signal by itself Bull channels work best when premium holds and pullbacks respect the inner bands Bear channels work best when discount holds and rallies fail at internal structure High compression followed by rising confidence often precedes expansion Use the risk map for framing, not blind automation Indicator Limitations Regression is still a model of recent price, not a guarantee of future direction Sudden event-driven moves can invalidate the frozen segment quickly Premium and discount are relative to the current channel, not absolute market value High breakout confidence can still fail in thin or news-driven markets Short segments increase responsiveness but also increase noise Technical Implementation Built in Pine Script v6 using: Manual OLS regression RMSE deviation envelopes Segment freeze-and-resolve logic Internal quarter and inner bands Premium/discount channel zoning Supertrend stack integration Breakout confidence scoring ATR-based stop and target map Compact institutional dashboard Originality Statement This indicator is original in how it treats a regression channel as a full market-state framework instead of a static overlay. The value is not just in plotting upper and lower lines, but in combining: Segment freezing Internal value zoning Directional stack confirmation Breakout qualification Execution mapping Each layer contributes different information: regression defines path, RMSE defines structure, premium/discount defines value, Supertrend defines stack, and confidence defines quality. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Regression channels, premium/discount zones, and breakout scores are analytical tools, not guarantees of market outcome. All trading decisions remain the responsibility of the user. -Made with passion by officialjackofalltrades
Indicatore Pine Script®
di officialjackofalltrades
Trend Quality Band [EXCAVO]Volatility-Ranked SuperTrend That Tightens in Calm Markets and Widens in Volatile Ones The Trend Quality Band is an adaptive trend-following indicator built on a SuperTrend core whose band width is controlled entirely by ATR percentile rank. Instead of a fixed multiplier, the band compresses when current volatility is historically low and expands when it is historically high - giving the trend line room when it needs it and keeping it tight when conditions allow. This is not a standard SuperTrend with a different parameter. The driving mechanism is a statistical rank: each bar, the current ATR is compared against its full lookback history to produce a 0-100% rank, which then scales the band multiplier non-linearly between configurable compress and expand factors. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator. The adaptive trend band appears immediately. Blue band below price = bullish trend. Red band above price = bearish. Step 2 → Watch for flip signals. Triangles mark the bar where the trend changed direction. Bullish flip = triangle below bar. Bearish = above. Step 3 → Read the ATR Rank in the dashboard. Below 35% = low volatility (compressed band, trend holds tight). Above 65% = high volatility (expanded band, wider room before a flip fires). Step 4 → Use the Regime label. "Low Vol" means the band is near its narrowest - trends confirmed here are high quality. "High Vol" means the band is expanded to filter noise in choppy conditions. Step 5 → Set alerts for Bullish or Bearish Trend Flip to be notified on confirmed direction changes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ ATR Percentile Rank On every bar, the indicator computes the ATR using the configured length, then ranks it against its own history over the Rank Lookback period: atr_rank = percentrank(ATR, lookback) / 100 This produces a value from 0 to 1. A rank of 0.1 means current ATR is lower than 90% of recent history (unusually quiet). A rank of 0.9 means current ATR exceeds 90% of recent history (unusually volatile). ◆ Non-Linear Multiplier Scaling The rank is mapped to a scaling factor using three zones defined by the Compress Below and Expand Above thresholds (default 0.35 / 0.65): t = clamp((atr_rank - compress_thresh) / (expand_thresh - compress_thresh), 0, 1) rank_scale = compress_factor + t x (expand_factor - compress_factor) eff_mult = base_multiplier x rank_scale When rank is below the compress threshold, rank_scale approaches the Compress Factor (default 0.65). When rank exceeds the expand threshold, rank_scale approaches the Expand Factor (default 1.55). Between the thresholds, the scale interpolates linearly. The result: a multiplier that ranges from approximately 1.6x (base 2.5 x 0.65) to 3.9x (base 2.5 x 1.55) depending on regime. ◆ SuperTrend Ratchet Logic The adaptive multiplier feeds a standard SuperTrend ratchet: upper_raw = src + eff_mult x ATR lower_raw = src - eff_mult x ATR lower_band = close > lower_band ? max(lower_raw, lower_band ) : lower_raw upper_band = close < upper_band ? min(upper_raw, upper_band ) : upper_raw The ratchet means the active band can only move in the direction of the trend - it never widens to catch a missed flip. A flip fires when price closes beyond the active band. The direction variable tracks the current trend state. ◆ Regime Classification The rank is compared against the two thresholds to produce a named regime: Low Vol (rank < 0.35), Normal (0.35-0.65), or High Vol (rank > 0.65). This regime label and the live multiplier value are shown in the dashboard so the trader can see exactly why the band is positioned where it is. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ ATR Percentile Rank as the Sole Driver Most adaptive SuperTrend variants modulate bands using the Efficiency Ratio (a directional momentum measure) or volatility ratios against a moving average. This indicator uses a statistical rank: the current ATR is compared against its entire recent history rather than a smoothed baseline. A rank of 80% means the current bar is more volatile than 80% of recent bars - a precise, context-aware signal that a fixed multiplier or a ratio cannot capture. ◆ Compress-and-Expand Band Behavior The two-threshold system creates three distinct regimes. In the Low Vol regime the band compresses toward the Compress Factor - trend flips require less movement, keeping the indicator responsive during quiet trends. In the High Vol regime the band expands toward the Expand Factor - preventing false flips during breakouts and spike-heavy conditions. The Normal regime interpolates between the two, creating a smooth transition rather than a step function. ◆ Live Multiplier Transparency The dashboard shows the actual effective multiplier value on every bar. This tells the trader exactly how wide the band currently is and why. When the multiplier reads 1.6x the band is near its tightest. When it reads 3.8x the band is near its widest. No guesswork about how the indicator is behaving. ◆ Non-Repainting by Default Flip signals are gated by barstate.isconfirmed - they only fire on the closed bar. The Allow Repainting input is available for users who prefer real-time updates, but the default ensures historical flips on the chart are accurate. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel (top right by default) shows the current state: Trend - BULLISH or BEARISH, colored by direction ATR Rank - current ATR percentile rank as a percentage (0-100%) Regime - Low Vol / Normal / High Vol based on rank thresholds Multiplier - effective band multiplier currently in use Band - current price level of the active trend band Legend table (bottom left) identifies all visual elements on the chart: ━ (blue) - Bullish trend band ━ (red) - Bearish trend band ┅ (orange) - Midline EMA, color reflects volatility regime ▲ (blue) - Bullish trend flip ▼ (red) - Bearish trend flip ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Core Settings ATR Length - 14 (lookback for ATR calculation) Base Multiplier - 2.5 (center-point multiplier at rank = 0.5) Source - 0 = HL2, 1 = Close, 2 = HLC3 ATR Rank Settings Rank Lookback - 200 bars (history used for percentile rank) Compress Below - 0.35 (rank threshold for low volatility regime) Expand Above - 0.65 (rank threshold for high volatility regime) Compress Factor - 0.65 (multiplier scale at minimum rank) Expand Factor - 1.55 (multiplier scale at maximum rank) Visualization Bullish Color - blue (customizable) Bearish Color - red (customizable) Signal Color - orange (customizable) Show Band Fill - ON (semi-transparent fill between band and price) Show Flip Signals - ON (arrow shapes at trend flip bars) Show Background - OFF (chart background colored by trend) Show Smooth Band - ON (EMA-smoothed band line, removes staircase appearance) Smooth Length - 5 (EMA period for band smoothing) Show Midline - ON (EMA of price colored by volatility regime) Midline Length - 20 (EMA period for the midline) Dashboard Show Dashboard - ON Show Legend - ON Dashboard Position - Top Right Alert Settings Allow Repainting - OFF JSON Alerts - OFF ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Bullish Trend Flip - trend changed from bearish to bullish on bar close Bearish Trend Flip - trend changed from bullish to bearish on bar close Trend Flip - any direction change JSON payloads include action, direction, ticker, price, timeframe, and indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Indicatore Pine Script®
di EXCAVO
SuperTrend Flip Zones [AGPro Series]# SuperTrend Flip Zones 🔷 OVERVIEW SuperTrend Flip Zones is a trend-following overlay designed for traders who appreciate the clarity of SuperTrend, but want a more selective and more structured version of it on the chart. Traditional SuperTrend tools are popular because they are simple: the line flips, the color changes, and the chart immediately prints a directional signal. That simplicity is useful, but it also creates a familiar weakness. In many market conditions, raw SuperTrend flips can appear too early, too close to noise, or without enough expansion to show that a genuine directional transition is taking hold. This script was built to solve that exact problem. Instead of treating every SuperTrend direction change as equally meaningful, SuperTrend Flip Zones evaluates the quality of the flip itself. Only qualified flips are promoted into visible BUY / SELL events, and each accepted signal creates a forward-projecting support or resistance zone built around the new SuperTrend structure. The result is not just another SuperTrend clone with different colors. It is a more selective, more chart-aware framework that helps traders judge whether a flip is worth paying attention to, and where the new trend should continue to defend itself after that flip occurs. 🔷 WHAT MAKES THIS DIFFERENT The biggest difference is that this script does not stop at the flip. Most SuperTrend indicators on the platform focus on one task only: detect the directional switch and mark it immediately. SuperTrend Flip Zones takes a broader view. It asks two additional questions: 1. Was the flip strong enough to deserve attention? 2. After the flip, where is the live structural zone that the new trend is expected to protect? That design choice creates a very different chart experience. Instead of receiving every mechanical transition equally, the user sees a filtered signal environment. Weak flips can be ignored, while stronger flips remain visible and are reinforced by an ATR-based zone that extends forward. This makes the tool useful not only at the exact moment of the flip, but also in the bars that follow, when traders are deciding whether the move is still being respected. It also creates clear separation from other AGProLabs tools in the same family. This is not a pullback-quality script. It is not focused on grading retracements inside an already established trend. It is focused on the transition point itself, and on the acceptance zone created by that transition. 🔷 CORE LOGIC The script is built around a custom SuperTrend engine using the selected ATR model, source, and multiplier. When the direction flips, the script does not blindly trust the event. The flip is scored through a multi-factor quality model that examines: - candle body efficiency, - range expansion relative to ATR, - price separation from the active SuperTrend line, - alignment with a trend EMA, - maturity of the prior trend leg before the reversal occurred. Only flips that meet the minimum quality threshold are accepted. Once a bullish or bearish flip qualifies: - a BUY or SELL signal is printed, - the signal can be promoted to BUY+ or SELL+ when the score is stronger, - a rectangular support or resistance zone is created around the new SuperTrend level, - that zone is extended forward to provide ongoing structure. This makes the indicator useful both as a signal filter and as a post-signal map. 🔷 WHY THE ZONES MATTER A standard SuperTrend line tells you where the trailing stop or directional boundary currently sits. This script adds another layer by converting qualified flips into live zones. Those zones are important because they help visualize where the market should continue to accept price if the new directional phase is healthy. In bullish conditions, the zone behaves like a dynamic support belt around the fresh SuperTrend structure. In bearish conditions, the zone behaves like a dynamic resistance belt. If price continues to respect that zone, the flip remains structurally valid. If price loses the zone, the chart communicates that the new directional state is weakening or failing. This produces a more practical read than a line alone, especially for traders who do not always enter on the exact signal bar and instead evaluate continuation quality after the move begins. 🔷 VISUAL DESIGN The script is designed to look polished and organized without overloading the chart. Visual elements include: - bullish and bearish SuperTrend line states, - restrained BUY / SELL labels, - right-extending flip zones, - soft trend cloud for directional context, - compact AGPro panel with merged header row, - configurable panel placement, - dark and light theme support, - adjustable label and panel text sizing. The goal is to keep the chart premium and readable rather than dense and noisy. 🔷 HOW TO USE IT SuperTrend Flip Zones is most useful for traders who want a higher-quality directional read rather than every raw SuperTrend crossover. A typical workflow is: - use the line and cloud to identify the active directional state, - wait for a qualified BUY or SELL rather than reacting to every raw flip, - monitor the projected zone as a live support or resistance area, - observe whether price continues to defend that zone or loses it. This makes the script suitable for discretionary trend-following, continuation analysis, and cleaner overlay-based chart reading. 🔷 BEST FIT This tool is especially useful for: - traders who already use SuperTrend but want cleaner signal selection, - traders who prefer support / resistance style context after the flip, - users who want a premium visual overlay without excessive label density, - trend traders who want a more selective buy sell workflow. 🔷 TRANSPARENCY This is an analytical indicator, not a trading strategy. Like all trend-following tools, it can become less effective in highly compressed or directionless market conditions. The filtering logic is designed to reduce weak transitions, but it does not replace chart context, timeframe awareness, or risk management. All logic is based on confirmed bar data inside the script framework. The purpose is to organize price action more clearly, not to guarantee future market behavior.
Indicatore Pine Script®
di AGProLabs
Conflux Engine | AnonycryptousConflux Engine | Anonycryptous Description & user manual Why this indicator is different? Most signal indicators work the same way. One condition triggers. One signal fires. The trader either takes it or does not. The problem is that a single condition — a crossover, a level break, a momentum read — is almost never enough to define a genuinely high-quality trade. Markets are too complex and too noisy for that. Conflux Engine works differently. It does not fire on one condition. It requires multiple independent market forces to align simultaneously before a signal appears. Structure has to agree. Volume has to confirm. Momentum has to support. Volatility has to be in the right zone. Session positioning has to be favorable. And optionally, the higher timeframe trend and the ribbon have to be aligned too. Only when enough of these forces agree — and agree clearly — does the indicator produce a signal. This is what confluence means in practice. Not one thing being right. Multiple independent things being right at the same time. The result is fewer signals. But the signals that do appear carry more weight than anything a single-condition system can produce. Important notice Conflux Engine generates trading signals based on a multi-factor scoring engine. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. They are a systematic read of current market conditions across multiple dimensions. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Conflux Engine is a scoring-based signal indicator for traders who want structured, high-conviction entries rather than frequent, noisy ones. Six independent pillars evaluate the market continuously. Each pillar scores independently. The scores combine into a total out of 100. When the total exceeds the signal threshold — and the dominant direction leads the opposite direction by a minimum gap — a signal fires. Additional hard gates can be enabled: an ADX noise filter to block signals during choppy markets, a VWMA filter to ensure macro trend alignment, a Supertrend filter for dynamic trend confirmation, and an Ultra Ribbon filter using 15 Hull Moving Averages for the fastest momentum read. The result is an indicator that is selective by design. It is not built to fire constantly. It is built to fire well. 2. The six pillars 2.1 Structure Evaluates market structure using swing pivot highs and lows. A higher high combined with a higher low defines a bullish structure. A lower high combined with a lower low defines a bearish structure. This pillar answers the most fundamental question in trading: is the market making progress in a direction, or is it deteriorating? Weight: up to 16 points. 2.2 Volume Uses OBV slope via linear regression to determine whether volume is accumulating in the direction of price or diverging from it. Rising OBV slope on a bullish signal means participation supports the move. Falling OBV slope on a bullish signal is a warning. This pillar separates moves with institutional backing from moves without it. Weight: up to 16 points. 2.3 Momentum Evaluates three independent momentum reads: KAMA position (a Kaufman adaptive moving average that adjusts its speed to market conditions), RSI relative to the 50 midline with slope direction, and Williams %R for price positioning within the recent range. Two of three aligned scores partial points. All three aligned scores full points. Weight: up to 16 points. 2.4 Liquidity Detects sweep events — moments where price wicks beyond a recent swing high or low and closes back inside. These events mark liquidity grabs and often precede directional moves. A confirmed bull sweep sets up a long bias context. A confirmed bear sweep sets up a short bias context. The context remains active for a configurable number of bars, decaying over time. Weight: up to 16 points. 2.5 Volatility Measures ATR relative to its own moving average to identify the volatility sweet spot. Signals during dead, flat markets carry less meaning. Signals during chaotically explosive moves are harder to execute cleanly. This pillar rewards the in-between: active, directional, manageable volatility. Weight: up to 16 points. 2.6 Session Evaluates price positioning within the current day's developing range. Price in the lower portion of the range (discount) favors long bias. Price in the upper portion (premium) favors short bias. This pillar can be toggled independently from the session time filter — you can use session scoring without restricting signals to specific hours, or vice versa. Weight: up to 20 points. 3. Hard gates Beyond the six scoring pillars, Conflux Engine includes four optional hard gates. These do not add points. They block signals entirely when their condition is not met. 3.1 ADX noise filter Blocks signals when ADX is below a configurable threshold. ADX measures trend strength. A low ADX means the market is ranging and directionless — exactly the environment where momentum signals fail most often. Default threshold: 35. Adjustable up to 100 for maximum selectivity. 3.2 VWMA filter Price must be above the Volume Weighted Moving Average for long signals, and below it for short signals. The VWMA is slower than a standard EMA and reflects the average price weighted by volume — a more meaningful macro reference than a simple average. Default length: 200. 3.3 Supertrend filter The Supertrend must confirm the signal direction. This is a dynamic trend line based on ATR bands that flips cleanly between bull and bear states. It acts as an additional structural confirmation that the trend environment supports the entry. 3.4 Ultra Ribbon filter The fastest gate. Built from 15 Hull Moving Averages spanning a range of lengths. When the fastest HMA is above the slowest HMA, the ribbon is bullish. When below, bearish. Because Hull MAs minimize lag, this gate reacts to trend changes earlier than most moving average systems. The ribbon also serves as a trailing stop option in the backtest — the slowest HMA tracks trend without being too reactive. 4. Signal scoring Every bar, both a bullish and bearish score are computed from the six pillars. The scores are added together. A signal fires when: - The dominant score meets or exceeds the signal threshold (default 70) - The dominant score exceeds the opposite score by at least the directional lead (default 20) - All enabled hard gates are cleared This two-condition check — threshold plus gap — prevents marginal signals from appearing when the market is ambiguous. Both bull and bear can score reasonably high during mixed conditions. The gap requirement ensures the dominant direction is meaningfully ahead. Pillar weights are individually adjustable. The system allows traders to prioritize the factors most relevant to their trading style and instrument. The Extreme Threshold (default 90) flags signals where the confluence score is exceptionally high. These are the highest-conviction setups in the system. 5. The Ultra Ribbon The Ultra Ribbon is a 15-layer Hull Moving Average ribbon that sits on the chart as both a visual trend tool and a momentum gate. Three themes are available: Classic — green and red. Clear, functional, no ambiguity. Phantom — cyan and pink with purple exhaustion. A darker, stylized read of the same data. (the default) Custom — full color control for bull, bear, and exhaustion states. The ribbon color adapts dynamically. When the spread between the fastest and slowest HMA is wide relative to its historical average, the ribbon fades toward the exhaustion color — a visual signal that the trend may be overextended. When the spread is moderate, the ribbon shows its full trend color. Candle coloring follows the ribbon's bull/bear state continuously, giving an immediate read of trend direction on every bar. The dashboard accent color and signal indicators follow the active theme, giving the entire indicator a unified visual identity across chart and panel. 6. Multi-timeframe filter When enabled, the MTF filter evaluates the trend on a higher timeframe using a 50-period EMA. If the higher timeframe trend agrees with the signal direction, a weight bonus is added to the total score. If it disagrees, no bonus is added — but the signal is not blocked unless the score falls below threshold as a result. This behavior is intentional. The HTF filter adds weight to aligned signals without making every counter-trend setup impossible. It rewards confluence with the bigger picture without enforcing hard alignment. Default timeframe: 240 (4-hour). Default weight bonus: 20 points. 7. Backtest and performance tracking Confluence Engine includes a built-in performance tracker that logs every signal, applies configurable stop and target multipliers based on the current regime, and tracks wins, losses, and win rate across the visible history. Stop loss modes: - ATR — a fixed multiple of ATR from the entry price. Simple and consistent. - Pivot — stop placed at the most recent swing low (for longs) or swing high (for shorts). Respects structure. - Supertrend — stop placed at the dynamic Supertrend level at the time of entry. Tighter and adaptive. - Trailing (h15) — stop follows the slowest HMA of the Ultra Ribbon. Trends with the market and gives winners more room. Target multipliers are adjustable for each regime: Scalp, Intraday, and Swing. The regime is determined by the current ADX value. Recent log shows the last three trade results in R multiples. This gives a quick read on recent system performance without requiring a separate journaling tool. Note: the backtest uses bar close logic and approximated fill prices. It is a directional performance reference, not a precise simulation. Session filtering does not retroactively apply to historical trades — enabling session filtering after a test period will affect forward signals but not past performance data. 8. Dashboard reference The dashboard updates on every bar and shows: - Header: indicator name and current timeframe - Pillar rows 1–6: score per pillar, colored by direction - HTF Trend: higher timeframe alignment and weight (when MTF enabled) - Signal: LONG / SHORT / WAIT with direction color - Win Rate: percentage of tracked signals that hit target - Recent Log: last three results in R multiples - Score: total confluence score out of 100 - Session: OPEN or FILTERED The dashboard header and accent colors follow the active ribbon theme. Tiny, Small, and Normal size options are available. 9. Settings reference General Settings - Signal Threshold: minimum score to trigger a signal (50–95, default 70) - Extreme Threshold: score above which extreme confluence is flagged (80–100, default 90) - Directional Lead: minimum gap between bull and bear score (default 20) Multi-Timeframe Trend - Enable MTF Filter - HTF Timeframe (default 240) - HTF Weight (default 20) Quality Filters (Noise Reduction) - Enable ADX Noise Filter - Min ADX Value (0–100, default 35) Trend Confirmation - Enable VWMA Filter + length - Enable Supertrend Filter + ATR length + multiplier - Show/hide Supertrend and VWMA lines Pillar Weights - Individual weight for each of the six pillars Session Filtering - Filter Entries by Session (time gate) - Enable Session Pillar Scoring (premium/discount scoring) - Trading Session input Trade Suggestions (ATR Multipliers) - SL and TP multipliers for Scalp, Intraday, and Swing regimes Ultra Ribbon - Enable Ribbon Filter - Show Ribbon on Chart - Base Length and Length Step - Theme: Classic / Phantom / Custom - Custom color inputs (bull, bear, elite) Backtest & UI - Enable Performance Tracking - Start Year - Show Active Trade Lines - Show Recent Trade Log - Stop Loss Mode: ATR / Pivot / Supertrend / Trailing (h15) UI Settings - Show Dashboard - Dashboard Position - Dashboard Size: Tiny / Small / Normal 10. How to use 10.1 Initial setup 1. Load the indicator on your preferred chart and timeframe. 2. Select a ribbon theme that matches your visual preference. 3. Set the signal threshold based on your desired selectivity. Start at 70. 4. Set the directional lead. 15–20 is a balanced starting point. 5. Enable the hard gates relevant to your style. For intraday trading, ADX + Supertrend is a strong combination. For swing trading, VWMA + MTF adds macro context. 6. Configure the session scoring if you trade specific sessions. NY traders: set session to 1330–2000 UTC (or your local equivalent). 7. Set your backtest start year and stop mode preference. 10.2 Reading a signal When a signal appears: - Check the dashboard. Which pillars are active? A signal with Structure + Volume + Momentum all scoring is stronger than one carried primarily by Session and Volatility. - Check the score. A signal at 72 with a 20-point gap is valid but tight. A signal at 88 with a 30-point gap is a high-conviction setup. - Check the ribbon. Is it cleanly bullish or bearish? Is it near exhaustion color? Signals during ribbon exhaustion carry more risk. - Check the hard gates. They cleared — but were they close? A signal that barely cleared ADX 35 is different from one with ADX at 55. 10.3 Managing entries Confluence Engine does not tell you the exact entry price. It tells you when conditions align. Your entry technique — pullback, breakout, limit at structure — remains your decision. Use the stop mode that fits your trade: ATR for consistency, Pivot for structure-respect, Supertrend for dynamic adaptation, Trailing h15 for trend trades you want to hold. 10.4 Interpreting win rate The built-in win rate is a useful reference, not a guarantee of future performance. A 65% win rate over 50 signals on a specific asset and timeframe tells you the system has been profitable in that environment. It does not guarantee the next signal wins. Win rate should always be evaluated alongside average RR. A 60% win rate at 2R average beats a 70% win rate at 0.8R average. Use the recent log and the trade lines together to assess both dimensions. 10.5 Optimizing settings If you see too many signals: raise the threshold, raise the directional lead, raise the ADX minimum, or enable additional hard gates. If you see too few signals: lower the threshold slightly, reduce the directional lead, or disable one or two hard gates. Do not optimize purely for win rate without considering signal frequency. A system that fires once per week at 80% win rate is different in practice from one that fires daily at 65%. Both can be profitable. Choose what fits your trading style. 11. Timeframe guide 1m–5m — Ultra Ribbon filter on, ADX threshold 30–40, Supertrend on, session scoring on. Focus on fast momentum signals during active sessions. 15m–30m — Full filter stack recommended. Threshold 70–75. Strong balance of frequency and quality. 1H–4H — VWMA and MTF filter add significant value. Threshold 75–80. Fewer signals, higher conviction. Daily — Disable session scoring. Enable VWMA and MTF only. Use as swing context, not scalp tool. 12. What this indicator does not do - Does not predict price direction with certainty - Does not guarantee profitability - Does not replace your own risk management - Does not account for news events, gaps, or liquidity voids - Does not track open positions in real time - Does not connect to any broker or execution system - Does not replace the Risk Management Engine for position sizing and account compliance For position sizing, drawdown compliance, and trade logging, pair with Risk Management Engine | Anonycryptous. For complete session analysis and market context, pair with Environment | Anonycryptous. Together, the three tools cover strategy context, signal generation, and risk execution — a complete framework for structured trading. 13. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation. All trading decisions are made entirely by the user. The indicator provides signal analysis based on configurable parameters — the relevance of any output depends on how those parameters are set and the market conditions in which the indicator is used. Trading financial instruments involves substantial risk of loss. Past performance of the backtest function is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator or any content in this manual.
Indicatore Pine Script®
di Anonycryptous
In1 + In2 Dual Confirmation SignalsIn1 + In2 Dual Confirmation Signal Indicator What It Tracks This indicator is essentially a two-filter confirmation system designed to keep you out of low-quality trades. It combines two completely different approaches to reading the market — one tracks momentum and trend direction, the other tracks buying/selling pressure — and only fires a signal when both agree at the same time. Think of it like needing two different analysts to sign off on a trade before you take it. The Two Engines In1 — Stochastic SuperTrend The first engine is a hybrid of two classic tools: the RSI and the Stochastic oscillator, fed into a SuperTrend framework. Here's what it's doing under the hood: It calculates the RSI of price, then runs a Stochastic calculation on that RSI (not on price directly). This smooths out a lot of noise. That Stochastic RSI value is then used as the "price" input for a SuperTrend algorithm, which dynamically plots upper and lower bands and flips direction when the value breaks through them. When the SuperTrend flips bullish and the Stochastic RSI is below 50 (not overbought), you get an In1 Buy arrow. When it flips bearish and the Stochastic RSI is above 50 (not oversold), you get an In1 Sell arrow. The below/above 50 filter is important — it prevents the indicator from calling a bullish flip when momentum is already stretched high, and vice versa. In2 — EVEREX (Engineered Volume & Price Flow) The second engine is more sophisticated. It's measuring the quality and direction of buying vs. selling pressure on each candle by looking at multiple factors simultaneously: How the candle closed relative to its range The spread between open and close How much price actually shifted Volume weighting on all of the above It normalizes all of these inputs and produces a single oscillator line. When that line flips from falling to rising, the background goes green (bulls taking over). When it flips from rising to falling, it goes red (bears taking over). The signal fires on those flip moments specifically — not while it's already trending in one direction. How the Dual Confirmation Logic Works This is where it gets smart. The indicator doesn't require both signals on the exact same candle — that would be too restrictive and you'd miss a lot of valid setups. Instead, it uses a lookback window: For a BUY signal to fire: In1 must have printed a bullish arrow on this candle OR within the last 1–2 candles AND if In1 fired 1–2 bars ago (not this candle), the Stochastic RSI line must still be rising — confirming the momentum hasn't already reversed AND In2 must flip green on this candle (that's the confirmation trigger) For a SELL signal to fire: Same logic in reverse — In1 bearish arrow within 1–2 candles, Stoch RSI still falling, In2 flips red The B/S label prints on the candle where In2 flips — that's your entry candle. Adjusting Signal Frequency To get MORE signals (more sensitive, more trades, more false positives): Lower the ST Multiplier (default 10) — a smaller multiplier makes the SuperTrend flip more often Lower the RSI Length (default 10) or K (default 7) — shorter lookbacks react faster Lower the EVEREX Length (default 10) or Signal Length (default 5) — the EVEREX oscillator will flip more frequently To get FEWER signals (more selective, higher quality, fewer trades): Raise the ST Multiplier — SuperTrend becomes harder to flip, only strong moves qualify Raise the RSI Length and K — smoother, slower momentum readings Raise the EVEREX Lookback (default 20) — the volume normalization uses a longer baseline, making it harder for a single candle to register as significant Raise the EVEREX Length and Smooth — the oscillator becomes less twitchy The Timeframe input is also huge — running In1 on a higher timeframe than your chart while watching In2 on the current chart creates a natural multi-timeframe filter that dramatically reduces noise. How Alerts Work There's a single alert condition called "In1+In2 Signal" that fires on either a Buy or Sell signal. When you set up the alert in TradingView, set it to "Once Per Bar Close" for confirmed signals, or "Once Per Bar" if you want real-time notification (more on that below). The message simply tells you a dual confirmation signal fired and to check the chart for the B/S label. Real-Time vs. After Close — The Repainting Question This is the most important thing for any trader to understand about this indicator. In2 (EVEREX) is fully real-time and does NOT repaint. It's calculated purely from current bar data — price action, spread, volume — so what you see on the forming candle is what you get. If it flips green mid-candle, that flip is real. In1 has a setting called "Wait for Timeframe Close." This is critical: When turned ON — In1 only updates when the selected timeframe candle fully closes. The SuperTrend flip is confirmed and will not repaint. This is the safer setting for signal reliability. When turned OFF — In1 updates in real time using lookahead. You'll see signals earlier, but if the higher timeframe candle closes differently than it looked mid-bar, the signal can vanish. This is the classic repainting scenario. The 1–2 bar lookback window for In1 is also non-repainting because it uses dir , bars_since_up, and direction tracking that are all based on closed bar values — once a bar closes, those values are locked. So a signal that printed on a closed candle will stay there. Bottom line for your workflow: Run "Wait for Timeframe Close" set to ON and set your alert to "Once Per Bar Close" — every signal you see on a closed candle is confirmed and won't disappear on you.
Indicatore Pine Script®
di parkerberlinger
SuperTrend Take-Profit Dimensions [AlgoAlpha]🟠 OVERVIEW A multi-dimensional take-profit aid that scores how typical the current bar looks compared to past SuperTrend pivots, so you can tell when a trend has reached favorable exit conditions. The indicator runs a standard SuperTrend and records every confirmed zigzag pivot that occurs during a matching-direction run. Tops go into a bull pool , bottoms into a bear pool . Each pivot is stored as a set of readings across several independent axes, such as relative volume , time of day , and price position inside the recent range . On every bar, the current reading on each axis is compared to that historical pool. A blended score from 0 to 100 tells you how closely the current conditions resemble where past pivots in the same direction have clustered. The idea is to give trend followers a data-backed sense of when to start tightening up, rather than guessing an exit or using a fixed R-multiple. The three built-in axes were chosen deliberately to be as uncorrelated as possible , each describing a different dimension of market context: volume (relative volume percentile), time (time of day), and price (position in recent range). Correlated inputs would double-count the same information and distort the blended score; picking axes that describe genuinely different aspects of the market means each one contributes independent evidence, and the score reflects how many distinct dimensions are currently in agreement. 🟠 CONCEPTS SuperTrend — An ATR-based trailing stop that flips between bullish and bearish states. Controls which pool of historical pivots the script reads from. Pivot pool — A rolling store of confirmed zigzag pivots, split by direction. Bull pool holds pivot highs that printed during bullish SuperTrend runs; bear pool holds pivot lows from bearish runs. Capped at 2000 entries per side . Context axis — A 0–100 value measured at the pivot bar. The script ships with three built-ins ( relative volume percentile , time of day , position in recent range ) and one optional user-plugged signal. Axis independence — The three built-in axes cover volume , time , and price respectively, chosen so each describes a structurally different part of the market. Low correlation between axes keeps the blended score from being dominated by any single factor. Conditional histogram — For each active axis, the script walks its pool and keeps only pivots whose bins on every other active axis match the current bar. The survivors are binned to form a histogram. Axis score — For one axis, the count of pivots in the current bar's bin divided by the count in the histogram's tallest bin, scaled to 0–100 . 100 means the current context sits in the densest part of past pivots. Blended favourability score — Arithmetic mean of the active per-axis scores. This is what the gauge and table display. Density-match scoring — The score measures how common the current context is among past pivots. It is not a forward probability and makes no claim about what happens next. 🟠 FEATURES Right-side context profiles — Stacked mini histograms render to the right of price, one per active axis. • Bar heights show how pivots in each axis's conditional pool distribute across bins. • A dashed vertical line marks the current bar's bin on that axis, so you can see at a glance where today sits against history. • Bar hue tracks the active SuperTrend direction. Favourability gauge — A vertical gradient table in the bottom-right showing the blended score, with a chevron marking the current level. Green at the top, red at the bottom. Favourability breakdown table — A two-column readout of each active axis's individual score out of 100, plus a final row that classifies the blended score as Good , Neutral , or Bad . Position and text size are configurable. Bar coloring — Bars fade from neutral grey toward the opposing trend colour as the blended score rises toward 100, so the chart itself signals when the context is stretched. Take-profit markers — Small orange markers print above or below the bar when the blended score hits 100 for the active SuperTrend direction. Timeframe guard — The time-of-day axis disables automatically on daily and higher timeframes, where the reading has no meaning, and a banner explains this so the blended score stays honest. Multi-dimensional scoring engine — Four independent axes feed into a single score, each conditioned on all the others. • Three built-in axes can be toggled on or off individually. • A fourth axis accepts any plot via source input , provided the series stays within 0–100 on all loaded bars. • An on-chart warning prints if the custom signal leaves that range, and the axis is ignored until it is corrected. Deliberately uncorrelated built-in axes — Volume ( relative volume percentile ), time ( time of day ), and price ( position in recent range ) cover three structurally different facets of market context. Keeping the axes independent means each one adds new information to the blend rather than reinforcing the others. Alert conditions — Six alerts are included: SuperTrend bullish flip, SuperTrend bearish flip, score peak match, and crossovers into the Good , Neutral , and Bad bands. 🟠 HOW TO USE Add the script to an intraday chart on a liquid instrument and let it run long enough to populate the pools. More history means more stable conditional histograms. Let SuperTrend define the active regime. The script only scores in the direction of the current trend; bar coloring and take-profit markers respect that regime. Read the gauge and breakdown table together. The gauge shows the blended level; the table shows which individual axes are pulling it up or down. Use the right-side profiles as a sanity check. If the dashed current-bin marker is sitting on or near the tallest bar across most axes, the current context closely resembles past pivot contexts in that direction. Treat high scores as a cue to tighten management, not as reversal signals. A reading of 100 means conditions match where pivots have historically clustered, not that the trend is guaranteed to end. Adjust the zigzag pivot length to control how strict the pool is. Lower values admit more pivots ( bigger, noisier sample ); higher values keep only firmer pivots ( smaller, cleaner sample ). Plug your own signal into the custom axis to test whether an existing 0–100 oscillator adds useful conditioning, such as an RSI or a normalised momentum reading. For best results, pick a signal that is not strongly correlated with the three built-ins, so the custom axis adds a new dimension rather than re-stating an existing one. Enable only the alerts that fit your workflow. The band-crossover alerts fire once per transition , not on every bar inside a band. 🟠 LIMITATIONS The pool holds every confirmed pivot during a matching-direction run, not only pivots that ended the trend. Intermediate pullbacks sit alongside genuine terminal pivots. Raising the zigzag pivot length filters the pool further if you want a cleaner sample. On strongly trending symbols the pool is dominated by pullback pivots rather than true terminal exits, because strong trends have many small pullbacks and only one final top or bottom. On choppy symbols the ratio is more balanced. Read the score with this in mind. The blended score is a density-match measure, not a forward probability . A high reading means today's context is common among past pivots of this direction. It does not predict that the trend is about to end. The time-of-day axis has no meaning on daily and higher timeframes and is disabled automatically on those timeframes. A warning banner confirms when this is active. The custom axis requires a source already scaled to 0–100 on every loaded bar. Values outside that range disable the axis and surface a warning. Toggling the custom axis on a live chart starts the range check from the current bar; reload the chart to validate against full loaded history . Pools are capped at 2000 entries per direction , with the oldest entries dropped first. On very long intraday histories the effective lookback is symbol- and timeframe-dependent. All scoring uses data up to and including the confirmation bar of each pivot; pivots themselves are detected with the standard zigzag confirmation lag, meaning the scoring population on any given bar reflects pivots confirmed at least zzLen bars earlier. 🟠 CONCLUSION SuperTrend Take-Profit Dimensions combines a standard SuperTrend with a rolling pool of historical pivot contexts and scores the current bar against that pool across up to four independent axes spanning volume, time, and price. The output is a blended 0–100 favourability reading , a per-axis breakdown, and a set of context profiles that show where past pivots have clustered. It gives trend followers a structured, data-backed way to judge when the current context matches where trends have historically given back profit, without pretending to predict the next bar.
Indicatore Pine Script®
di AlgoAlpha
10
M15_Scalp_V1This is how I personally set up M15 scalping on EURUSD. Specifically during the London/NY overlap, I built it to search for one high-conviction trend reversal every day. How it operates Selective Entry: Identifies reversals early without purchasing the peak by using a tight SuperTrend and RSI filter. Institutional Filter: To ensure that it only activates when actual money is affecting the market, I included a volume check. Risk First: Based on a 2% risk of my entire balance, it automatically determines lot sizes. One Shot: To prevent overtrading and high-spread hours, trading is restricted to one setup per day between 11:00 AM and 10:00 PM IST. Configuration: Ideal for the M15 period
Strategia Pine Script®
di neediness999
M15_Scalp_V1This is how I set up my M15 scalping for EURUSD. I made it so that it looks for one strong trend reversal every day, especially during the London/NY overlap. How it works: Selective Entry: Uses a tight SuperTrend and RSI filter to find reversals early without having to buy at the top. Institutional Filter: I added a volume check so that it only goes off when there is real money moving the market. Risk First: It figures out the lot sizes for me based on a 2% risk of my total balance. One Shot: Only one setup can be traded per day between 11:00 AM and 10:00 PM IST to keep people from overtrading and trading during high-spread hours. Preparation: The M15 timeframe is best for this.
Strategia Pine Script®
di neediness999
Dynamic FibTrend Signals [MarkitTick]💡 This indicator represents an advanced multi-layered analytical framework designed to synchronize trend identification with structural market geometry. By integrating adaptive trend-following logic with automated price action mapping, the tool serves as a comprehensive dashboard for traders seeking to identify high-probability entry zones. It solves the common problem of "indicator clutter" by condensing volatility-adjusted trend direction, swing structure recognition, and Fibonacci retracement depth into a single, cohesive visual interface that provides real-time trade execution levels based on current market volatility. ● ✨ Originality and Utility The primary utility of this script lies in its ability to bridge the gap between momentum-based trend following and static price levels. While many scripts focus on a single aspect of technical analysis, this indicator utilizes a synergistic approach: It combines the volatility-sensitive nature of SuperTrend with the objective structural points of Pivot Highs and Lows. It automates the projection of Fibonacci retracement levels based on a dynamic lookback period, ensuring that support and defense zones are always relevant to recent price action. Unlike standard tools that leave the user to determine their own risk, this system automatically calculates a suggested entry, stop loss, and multiple target levels using Average True Range (ATR) to adjust for current market volatility. ● 🔬 Methodology and Concepts The core engine operates on a tripartite logic system: Trend Quantification: The system employs an Average True Range (ATR) calculation multiplied by a specific factor to create a dynamic band around the price. This determines the prevailing bias (Bullish or Bearish) and filters out market noise. Structural Mapping: Through a pivot-point algorithm, the script identifies "Swing" levels. These are points where the market has shown significant rejection, helping to define the current trading range. Risk Geometry: Upon a trend shift (signal), the script calculates trade levels. The Entry is based on the previous bar's close, while the Stop Loss and Profit Targets are mathematically derived from the ATR. This ensures that the risk-to-reward ratio remains consistent regardless of whether the market is in a high or low-volatility state. ● 🎨 Visual Guide The chart interface is designed for high legibility, using distinct color coding and shapes to signify different market states: SuperTrend Line: A continuous line that turns Green during bullish momentum and Red during bearish momentum. The area between this line and the price is filled with a subtle transparency to highlight the "trend cloud." Signal Arrows: Bright green "BUY" arrows appear below the bars for bullish transitions, and red "SELL" arrows appear above the bars for bearish transitions. Swing Markers: Small orange downward triangles mark Swing Highs, while blue upward triangles mark Swing Lows. These are accompanied by dashed horizontal lines projecting the price level forward. Fibonacci Grid: A series of purple dotted horizontal lines representing key retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%). These levels provide context for potential pullbacks within the main trend. Trade Execution Box: When a signal is generated, a yellow entry box appears along with three distinct lines: Yellow Line: The specific Entry price. Green Dashed Line: The Target (Take Profit) level. Red Dashed Line: The Stop Loss level. Info Table: A professional-grade data table in the top-right corner summarizes the current trend status, the most recent swing levels, and the active trade coordinates for quick reference. ● 📖 How to Use Trend Identification: Observe the color of the SuperTrend line. If the line is green and the price is above it, focus on long opportunities. If red, focus on shorts. Confirmation: Look for signals where the SuperTrend flip aligns with a bounce off a Fibonacci level (specifically the 50% or 61.8% "Golden Pocket"). Execution: When a "BUY" or "SELL" arrow appears, refer to the yellow entry zone. The script projects these levels 40 bars into the future to allow for trade planning. Exit Strategy: Use the target line for profit-taking and the red stop-loss line for capital protection. The 2:1 risk-to-reward ratio is the default, but this can be adjusted in the settings. ● ⚙️ Inputs and Settings ⚡ SuperTrend: Adjust the ATR Length and Factor. A higher factor makes the trend slower and more resilient to whipsaws, while a lower factor makes it more sensitive. 🔄 Swing High / Low: Define the lookback period for pivot detection. Increasing this value will only identify major market turns. 📐 Fibonacci Retracement: Change the lookback bars for the Fibonacci grid. This determines the "height" of the range being measured. 🎯 Trade Levels: Set your desired Risk-to-Reward ratio (default is 2.0). You can also toggle the visibility of the entry, target, and stop lines. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator is built upon the "Volatility Clustering" theory, which suggests that market volatility is not constant but occurs in bursts. By using ATR-based thresholds, the indicator applies a statistical filter that expands and contracts based on realized variance. The swing detection logic utilizes a "Windowed Extrema" approach, which is a fundamental concept in time-series analysis for identifying local maxima and minima within a defined temporal window. Furthermore, the integration of Fibonacci ratios (specifically the 0.618 Golden Mean) incorporates elements of fractal geometry and Elliott Wave theory, positing that market corrections often move in proportions derived from the Fibonacci sequence. The final trade execution component utilizes a fixed-fractional risk management model, ensuring that trade parameters are mathematically optimized for the current market environment rather than being based on arbitrary price distances. ⚠️ 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. I 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.
Indicatore Pine Script®
di MarkitTick
3
Swing + Value Setup [Marcos]Swing + Value Setup — Descripción para TradingView Título sugerido Swing + Value Setup — Multi-Filter Entry Signal Descripción (inglés — recomendado para mayor alcance) 🎯 What is this indicator? Swing + Value Setup is a multi-condition entry filter designed for swing traders looking for high-quality setups in stocks with strong technical and structural foundations. Instead of relying on a single signal, this indicator requires 6 simultaneous conditions to be met before printing an entry label — dramatically reducing false signals and noise. It also features a real-time status panel that shows exactly which conditions are passing or failing on any given bar, so you always know how close a setup is to triggering. ⚙️ How it works The indicator combines trend, momentum, volume, and structure analysis into a single unified signal: ✅ 6 Required Conditions (all must be true simultaneously): Price above EMA 200 — confirms the stock is in a long-term uptrend Supertrend bullish — active trend filter, eliminates choppy/sideways markets RSI between 40–55 — entry during healthy pullback, not extreme oversold MACD signal — bullish crossover OR histogram rising below zero (momentum recovering) OBV above its EMA — confirms institutional accumulation behind the move Pullback to EMA 21 or EMA 50 (±1.5%) — optimal entry zone, not chasing price ⭐ High Conviction Bonus: When a bullish RSI divergence is also detected (price making lower lows while RSI makes higher lows), the label upgrades to a High Conviction signal — historically the strongest setups. 📊 Visual elements EMA 21 / 50 / 200 plotted directly on price Supertrend line changes color with trend direction Green background shading when a valid setup is active Brighter shading for high conviction entries Labels printed at signal candles (standard ✅ or high conviction 🎯) Status table (top-right corner) showing live ✅/❌ for each condition 🔔 Built-in Alerts (3 total) AlertTriggerSetup Swing/ValueAll 6 conditions met for the first timeSetup ALTA CONVICCIÓN ⭐Full setup + RSI divergence confirmedDivergencia RSI BullishBullish divergence in uptrend (early warning) Set alerts from the indicator menu → Add Alert → select the condition. 🕐 Recommended Timeframes TimeframePurposeWeeklyOverall bias and macro structureDailyPrimary signal timeframe (recommended)4H / 1HEntry timing and fine-tuning Best results on Daily charts for swing positions of 5–30 days. 📐 Trade Management (suggested) Stop Loss: Below the signal candle low or EMA 50 Target 1: Prior resistance / VPVR high-volume node Target 2: Fibonacci 1.272 or 1.618 extension Minimum R:R: 1:2.5 ⚠️ Disclaimer This indicator is a technical analysis tool only. It does not constitute financial advice. Always manage your risk, use stop losses, and do your own research before entering any trade. Past performance of any indicator does not guarantee future results. Descripción (español — versión alternativa) 🎯 ¿Qué es este indicador? Swing + Value Setup es un filtro de entrada multi-condición diseñado para swing traders que buscan setups de alta calidad en acciones con estructura técnica sólida. En lugar de depender de una sola señal, el indicador exige que 6 condiciones se cumplan simultáneamente antes de generar una señal — reduciendo drásticamente las falsas entradas y el ruido del mercado. Incluye un panel de estado en tiempo real que muestra exactamente qué condiciones están activas o fallando en cualquier vela, para que siempre sepas qué tan cerca está un setup de activarse. ⚙️ Cómo funciona ✅ 6 Condiciones obligatorias (todas deben cumplirse a la vez): Precio sobre EMA 200 — confirma tendencia alcista de largo plazo Supertrend alcista — filtra mercados laterales y tendencias bajistas RSI entre 40 y 55 — entrada en pullback sano, sin sobreventa extrema Señal MACD — cruce alcista O histograma subiendo bajo cero OBV sobre su media — confirma acumulación institucional detrás del movimiento Pullback a EMA 21 o EMA 50 (±1.5%) — zona de entrada óptima sin perseguir precio ⭐ Bonus Alta Convicción: Cuando además se detecta una divergencia bullish en RSI (precio haciendo mínimos más bajos mientras el RSI hace mínimos más altos), la señal se convierte en Alta Convicción — históricamente los setups más fuertes. 🔔 Alertas incluidas Setup Swing/Value — cuando se cumplen las 6 condiciones Setup Alta Convicción ⭐ — setup completo + divergencia RSI Divergencia RSI Bullish — aviso temprano de posible giro ⚠️ Aviso legal Este indicador es únicamente una herramienta de análisis técnico. No constituye asesoramiento financiero. Gestiona siempre tu riesgo y realiza tu propio análisis antes de operar. swing trading value ema supertrend rsi macd obv multi-condition stocks entry signal divergence trend following pullback screener alerts
Indicatore Pine Script®
di hardcoresporto
Aegis Dual Strike [wjdtks255]■ 1. Overview Aegis Dual Strike is a dual-layered trend execution system designed to capture explosive movements while minimizing whip-saw losses. By synchronizing volatility-based trailing stops with long-term trend direction and volume verification, it provides high-probability entry signals for trend-following traders. ■ 2. Technical Breakdown (The Execution Engine) SuperTrend Volatility Engine: Uses a sensitive ATR-based algorithm (10-period) to track immediate price shifts and set dynamic defense lines. EMA 50 Structural Filter: Filters signals through a 50-period Exponential Moving Average; buy signals are only permitted in bullish structures, and sell signals in bearish ones. Volume Confirmation Logic: Every "Strike" (Signal) is verified against a 20-period volume SMA, ensuring that the trend has sufficient institutional backing to continue. ■ 3. Key Visual Signals BUY Label (Mint): Appears when a bullish volatility breakout occurs above the EMA 50 with rising volume. SELL Label (Hot Pink): Appears when a bearish volatility breakdown occurs below the EMA 50 with rising volume. Adaptive Bar Coloring: Candles change to Mint (Bullish), Hot Pink (Bearish), or Gray (Neutral) to immediately reflect the current market state. ■ 4. How to Use (Strategy Guide) Trend Strike: When the BUY or SELL label appears, enter in the direction of the signal. Use the Trend Guide Line as your dynamic stop-loss level. The Golden Zone: Focus on signals where the price has just crossed the EMA 50 (Gray line), as these often mark the birth of a major new trend. ■ 5. Originality & Disclaimer The originality of Aegis Dual Strike lies in its "Tri-Factor Validation" (Volatility + Structure + Volume), which significantly reduces false breakouts compared to standard trend indicators. This tool is for educational purposes only; all financial risks are the responsibility of the user.
Indicatore Pine Script®
di wjdtks255
AlphaEngine █ ALPHAENGINE v1.0 The Adaptive Consensus Trading Algorithm Self-optimizing signal engine that runs 6 independent "Expert" sub-systems simultaneously, tracks their real-time accuracy, and dynamically adjusts their influence using an Adaptive Consensus algorithm inspired by the Multiplicative Weight Update method. The result: an indicator that learns which strategies work best in the current market — and automatically amplifies them while suppressing underperformers. All in real-time, on every single bar. Free and Open Source. █ THE 6 EXPERTS 1. Trend Expert Triple EMA alignment (Fast/Mid/Slow) combined with ADX trend strength. Detects directional bias and amplifies signals when the trend is strong. 2. Momentum Expert Blends RSI zone analysis (40%), Stochastic crossover (30%), and Rate-of-Change velocity (30%) into a single momentum score. Catches acceleration and deceleration in price moves. 3. Volume Expert On-Balance Volume trend direction combined with real-time volume spike detection. Confirms signals with institutional participation. Volume must agree with price direction for full score. 4. Volatility Expert Bollinger Band position mapping combined with ATR expansion/contraction analysis. Includes Squeeze Detection that alerts before major breakout moves. 5. Supertrend Expert ATR-based dynamic support/resistance with distance scaling. Stronger signals when price is firmly above/below the supertrend line. 6. Structure Expert Higher-timeframe EMA bias using auto-selected HTF (e.g., 1H chart checks 4H, 5m chart checks 1H). Ensures signals align with the macro trend. █ THE ADAPTIVE WEIGHTING ENGINE Unlike traditional indicators that treat all components equally, AlphaEngine tracks which experts are actually performing well in the current market conditions: Each expert's predictions are validated against real price movement A rolling accuracy score (exponential decay) measures recent performance Weights are computed as accuracy squared — creating clear differentiation Experts with high accuracy get amplified, poor performers get dampened The engine adapts to any market environment automatically In a strong trending market, the Trend and Supertrend experts naturally gain weight. In a ranging/choppy market, Momentum and Volume experts take over. The engine adapts automatically. █ SIGNAL GRADING: A/B/C A-Grade (75%+ consensus) — High quality. Strong agreement among key experts. B-Grade (60%+ consensus) — Standard. Moderate agreement. Use with additional confirmation. C-Grade (50%+ consensus) — Weak. Minimal consensus. For analysis only. Filterable via settings. Signal labels are visual: A-grade signals are larger and prominent. B/C are smaller and subtle. A minimum grade filter lets you hide weaker signals. █ RISK MANAGEMENT Take Profit + Stop Loss: TP1 — ATR-based take profit target with visual line and hit detection SL — Dynamic ATR-based stop loss, adapts to current volatility Visual checkmark when TP1 is reached, X marker when SL triggers. Both levels are always proportional to market conditions — never fixed distances. █ VISUAL FEATURES Smart Candle Coloring — 6-level gradient from deep green to deep red based on consensus strength Trend Background — Subtle gradient overlay showing macro direction Volatility Bands — Dynamic Bollinger-based bands with squeeze highlight Squeeze Detection — Diamond dots below price when volatility contracts Supertrend Line — Color-coded dynamic support/resistance EMA Lines — Optional Fast/Mid/Slow EMA visualization █ DASHBOARD Compact 10-row real-time analytics panel: Current signal + grade + consensus %, visual consensus bar, each expert's direction + rolling accuracy %, and volatility state (Squeeze/Expand/Contract/Normal). █ ALERTS (7 CONDITIONS) Signal: Buy/Sell, A-Grade Buy/Sell Risk: TP1 Hit, SL Hit Volatility: Squeeze Start █ PRO VERSION The PRO version adds: VWAP Expert — 7th expert for institutional fair-value bias with timeframe auto-scaling Trading Style Presets — Auto/Scalping/Intraday/Swing/Position/Custom with automatic parameter tuning Asset Auto-Optimization — Crypto/Forex/Stocks/Futures multipliers for volatility and volume sensitivity RSI Divergence Detection — Regular + Hidden divergences with visual labels and connecting lines S-Grade Signals — Elite setup grade (90%+ consensus) for highest probability entries Multi-Target TP — TP1/TP2/TP3 system with sequential hit detection and R:R ratio display Premium Dashboard — 17-row analytics panel with all expert weights, divergence status, and TP tracking 17 Alert Conditions — Including divergence alerts, squeeze breakout, trend flip, and grade-specific triggers █ NON-REPAINTING All calculations use standard non-repainting indicators (EMA, RSI, ADX, ATR, OBV, Stochastic, Bollinger Bands). Multi-timeframe data uses confirmed prior-bar values. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices, Commodities and Bonds — any timeframe from 1 second to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. No indicator can predict market movements with certainty. Always implement proper risk management. Use this tool as one component of a comprehensive trading strategy, not as a standalone decision-making system.
Indicatore Pine Script®
di alphachart_tv
Syndicate Confluence [JOAT]Syndicate Confluence Introduction Syndicate Confluence is an open-source overlay indicator that unifies three independent analytical engines into a single spatially organized visual system. Engine 1 is an adaptive Kalman filter with a Supertrend ratchet trail — it classifies the macro directional regime and generates a triple-glow neon trail on the chart. Engine 2 is an institutional order block zone mapper — it identifies swing-pivot order blocks, classifies them by trading session, and renders them as persistent box-based zones with session-colored borders and labeled displacement ratios. Engine 3 is an HMA pressure trail paired with a custom volume-weighted MFI — it classifies each bar into bull pressure, bear pressure, or neutral states. The three-layer visual architecture ties all three engines together: an outer ATR cloud communicates the macro volatility context of the Kalman filter; a corridor fill between the Kalman Supertrend line and the HMA trail communicates whether both engines are aligned in the same direction; and a core gradient fill between the HMA trail and the candle mid-body communicates the intensity of the current pressure state. When all three layers are saturated in the same color, the confluence is at its strongest. When they are fragmented, the market is transitioning. The highest-confidence signal — the starred HC Long or HC Short label — fires only when a trail flip, Kalman direction, and order block proximity all coincide simultaneously. This triple-engine intersection is the indicator's primary setup, and the remaining visual layers exist to help traders evaluate whether conditions are building toward or away from that state. Core Concepts 1. Adaptive Kalman Regime Engine The Kalman filter maintains a running estimate and error variance. Each bar, the gain is computed as err / (err + noise), where noise = alpha * period. The estimate is updated toward close proportional to the gain, and the error variance self-adjusts — expanding when prediction is poor (high responsiveness), contracting when the filter tracks well (high smoothness). A Supertrend ratchet is applied to the Kalman value: ATR-scaled upper and lower bands drift with a direction-persistence rule — the upper band can only fall, the lower band can only rise. Direction flips when the Kalman value closes through the active band. Applying the ratchet to a Kalman-smoothed price removes the micro-fluctuations that cause excessive flips in price-based systems. 2. Session-Colored Order Block Zones When a swing pivot low is confirmed, the indicator searches back for the last bearish candle before the pivot. If the subsequent displacement exceeds ATR * dispMult, that candle becomes a bull order block. The zone is drawn at the candle's midpoint with ATR-scaled height. Zone border color is determined by the birth session: London = blue (#60a5fa), NY = pink (#f472b6), Asia = green (#34d399). The label shows type, session, displacement ratio (e.g., "▲ BULL LON 1.8x 5030.41"), and updates its x-position every bar to track the right edge of the chart. Border thickness scales with displacement ratio — zones from 2x+ displacement moves get thicker borders. 3. HMA Pressure Trail and Volume-Weighted MFI An HMA ratchet trail determines directional commitment. The custom volume-weighted MFI sums volume * hlc3 on rising bars (positive flow) and volume * hlc3 on falling bars (negative flow), normalizes with the RSI formula, and smooths with an HMA. Bull pressure is active when the trail is bullish AND the smoothed MFI exceeds the bull threshold. Bear pressure when trail is bearish AND MFI below the bear threshold. The pressure strength percentage tracks the rolling 50-bar proportion of bars spent in an active pressure state. 4. Three-Layer Visual Architecture Outer ATR Cloud: k_val ± cloudMult * ATR filled with directional color at near-full transparency — communicates macro volatility context and Kalman regime at a glance Corridor Fill: The zone between the Kalman Supertrend line and the HMA trail — fills cyan when both agree bullish, rose when both agree bearish, neutral gray when diverging. When the corridor narrows and both trails converge in the same direction, confluence is building Core Pressure Gradient: Between the HMA trail and the candle mid-body — transparent at the HMA, saturated at the body, colored by pressure state. Deep color indicates active, volume-backed directional pressure 5. Signal Hierarchy ★ HC Long / ★ HC Short: Trail flip + Kalman direction + OB proximity — the highest-confidence setup. Starred label with colored background Trail flip arrows: Triangle up/down when trail flips in Kalman direction with MFI above/below 50 — standard entry signal MFI cross-50 triangles: Small triangles on the Kalman trail when MFI crosses the 50 level in the trail direction — momentum regime shift marker TP labels: Fire when MFI reaches overbought or oversold extremes in the trail direction K▲ / K▼ labels: Mark the exact bar where the Kalman Supertrend direction flips Squeeze diamond / circle: Diamond on squeeze start, circle on squeeze release Volume impulse labels: "1.8x vol" label on high-volume directional bars above the configured multiple Proximity diamonds: Fire on the first bar where price enters the OB proximity buffer Features Adaptive Kalman Filter: Self-calibrating gain updates noise estimate each bar — faster during impulses, smoother during consolidation Supertrend Ratchet on Kalman: Direction-persistent bands applied to the filtered price — stable, low-whipsaw regime signal Triple-Layer Kalman Glow: Widths 9/5/2 with decreasing transparency create a neon halo effect on the Supertrend trail Outer ATR Volatility Cloud: Wide envelope around the Kalman value, gradient-filled by regime direction Corridor Fill (Kalman ST ↔ HMA Trail): The alignment region between both trails — fills directionally when confluent, neutral when diverging Core Pressure Gradient Fill: HMA-to-mid-body gradient colored by active pressure state Session-Colored OB Zone Borders: London blue / NY pink / Asia green borders encode session context directly in the zone visual OB Zone Labels: Type, session, displacement ratio, and price level — updated live at right chart edge ★ HC Long / HC Short Labels: Triple-confluence signal fired when trail flip, Kalman direction, and OB proximity align Trail Flip Arrows: Triangle up/down entry signals when trail flips in Kalman direction with MFI midline confirmation MFI Cross-50 Markers: Small triangles on the trail at momentum regime shifts TP Overbought/Oversold Labels: Fire at MFI extremes in trail direction K▲/K▼ Kalman Flip Labels: Pinpoint the exact bar of each Kalman regime change Squeeze Detection: Diamond on Kalman band compression start, circle on release K-Velocity Dots: Brightness-scaled dots on the trail communicating momentum acceleration Volume Impulse Labels: Ratio labels on high-volume directional bars Proximity Diamonds: Alert when price first enters the OB proximity buffer Regime Transition Circles: Fire at every Kalman regime change on the trail line Gradient Bar Coloring: Saturates with MFI intensity when Kalman and trail agree, fades to neutral otherwise 13-Row Dashboard: K-Regime, Trail, Pressure state, Zone proximity, Confluence, MFI, P-Strength %, Squeeze state, Band Width, Trend Bars, K-Velocity %, ATR 9 Alertconditions: Long/short signals, HC signals, TP signals, squeeze release, Kalman flips Input Parameters Regime Engine: Kalman Alpha: Base noise smoothing — lower = smoother, more lag (default 0.02) Kalman Beta: Error variance recovery rate (default 0.10) Kalman Period: Gain magnitude scaler (default 50) ST Factor: ATR multiplier for Supertrend bands on Kalman (default 1.5) ST ATR Length: ATR lookback for band calculation (default 10) Cloud ATR Width: Outer cloud multiplier (default 2.5) Squeeze Threshold %: Band width below this % of SMA triggers squeeze (default 80%) Zone Engine: Swing Length: Pivot confirmation lookback (default 5) OB Lookback: Bars searched for qualifying order block candle (default 20) Displacement ATR Mult: Minimum move to validate an OB (default 0.8) Zone ATR Width: Zone height as ATR fraction (default 0.75) Max Active OBs / Side: Oldest zones trimmed beyond this limit (default 8) Proximity Buffer (ATR): Approach detection radius (default 1.5) Momentum Engine: MFI Length: Volume-weighted money flow lookback (default 14) MFI Smooth: HMA smoothing on raw MFI (default 5) Trail HMA Length: HMA period for pressure trail (default 14) Trail ATR Mult: Trail band width (default 1.5) MFI Bull/Bear Thresholds: Pressure activation levels (default 58/42) Signals: TP Overbought / Oversold: MFI extremes for TP labels (default 78/22) Impulse Vol Multiplier: Volume multiple for impulse labels (default 1.5) How to Use This Indicator HC Signal Setup: The ★ HC Long / HC Short label is the primary setup. It fires when the trail flips in the Kalman direction while price is within proximity of an active order block. Enter on the labeled bar. Trail your stop at the HMA trail line. Look for the TP label or pressure state deactivation as an exit reference. Corridor Fill as Trend Quality Gauge: When the corridor between the Kalman trail and HMA trail is narrow and saturated with color, both trend systems are locked in the same direction — this is the highest-confidence trending condition. When the corridor is wide or neutral gray, the two systems are diverging — reduce size or wait for re-alignment. Reading the Signal Hierarchy: Start with the Kalman regime (K▲/K▼ label and trail color) for macro direction. Add the trail flip arrow for timing. Confirm with MFI cross-50 triangle. Check if an OB zone is nearby for HC bonus. Exit on TP label or when the corridor fill turns neutral. Squeeze Breakout Setup: When the golden diamond squeeze marker fires, the Kalman bands are compressing. Wait for the circle squeeze release marker. If the trail is aligned with the Kalman regime at release, the first trail flip after the release is a high-quality breakout entry. Indicator Limitations Order block detection requires a confirmed swing pivot, which in Pine Script v6 is offset by swingLen bars — zones are created after the fact relative to the actual pivot candle The corridor fill between the Kalman trail and HMA trail can produce wide fills on instruments with large spread between the two systems — this is informational, not a defect, but may visually dominate the chart on some timeframes HC signals require all three conditions simultaneously. On instruments with sparse order block formation, HC signals may be infrequent compared to standard trail flip arrows The volume-weighted MFI requires volume data. On instruments with unreliable volume reporting, the pressure engine may be less meaningful than on equities or futures Squeeze detection uses 80% of the 20-bar SMA as the threshold. On instruments that are persistently low-volatility, this threshold may trigger continuously — adjust the squeeze percentage parameter upward for such instruments Originality Statement This indicator is original in its three-engine confluence architecture, the corridor fill system between the Kalman Supertrend and HMA trail, and the session-colored OB zone integration with the starred HC signal. The publication is justified because: The corridor fill between the Kalman Supertrend trail and the HMA pressure trail creates a novel visual quality gauge — the width and saturation of the corridor communicates alignment strength between macro regime and near-term pressure in a single spatial layer Session-colored OB zone borders encode institutional session context directly into the zone visual without requiring a separate session indicator, making the chart self-contained for context-aware zone evaluation The HC signal requires three independent engine conditions to coincide: Kalman regime direction, trail flip timing, and OB proximity. This triple-gate structure is a more restrictive and higher-quality filter than any two-condition confluence approach The three-layer visual architecture (outer cloud, corridor fill, core pressure gradient) creates a spatially organized picture where the distance between layers communicates regime context, trail alignment, and pressure intensity at different spatial scales simultaneously The K-velocity dot brightness system embeds momentum acceleration directly into the trail visualization without requiring a separate panel — the trail itself communicates direction, state, and rate of change simultaneously Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument. Past performance of any pattern or signal does not guarantee future results. All trading involves substantial risk. Always use proper risk management and conduct your own independent analysis. — Made with passion by officialjackofalltrades
Indicatore Pine Script®
di officialjackofalltrades
Trend Sniper v2.5 - Haar Wavelet Edition [Jamallo]Author's Note: The previous Trend Sniper v2.5 was built around a 2-Pole Butterworth Super Smoother with Parkinson historical volatility driving the trailing stops. This edition replaces that entire core with a Maximal Overlap Discrete Wavelet Transform (MODWT) using Haar basis functions and a Vervoort ATR trailing stop . Where the Butterworth produced smooth, continuous curves, the Haar wavelet produces structural steps — only updating when true market movement exceeds the calculated noise energy floor. Same Trend Sniper framework, completely different engine under the hood. Intro Trend Sniper v2.5 - Haar Wavelet Edition the Maximal Overlap Discrete Wavelet Transform (MODWT) using Haar basis functions. The result is a structural, step-based signal line that ignores minor price fluctuations entirely and only updates when true market movement exceeds a dynamically calculated noise threshold. Combined with a Vervoort ATR trailing stop, dual SuperTrend envelopes, and KAMA midpoint, this indicator provides a complete trend-following framework built on signal processing principles rather than traditional moving average logic. Breakdown Haar Wavelet Signal Line (MODWT + Adaptive Deadband) The core of this indicator is a 5-level cascaded MODWT Haar wavelet decomposition applied to smoothed Heikin-Ashi price. At each level, price is split into a smooth coefficient (trend) and a detail coefficient (noise). The user selects a decomposition level (1–5), controlling the structural scale — from 2-bar micro-structure up to 32-bar macro-structure. An adaptive deadband then wraps the smooth coefficient: the average absolute detail energy is measured over a lookback window and scaled by a multiplier. The signal line only steps to a new value when the smooth coefficient moves beyond this noise-energy threshold. This creates the characteristic "staircase" behavior — flat holds during noise, clean steps on real moves. The signal line colors by its own step direction: bull when it steps up, bear when it steps down. Vervoort ATR Trailing Stop A Sylvain Vervoort-style trailing stop is anchored directly to the Haar wavelet signal line rather than raw price. The stop distance is calculated as ATR × multiplier. In an uptrend, the stop ratchets upward and never retreats; in a downtrend, it ratchets downward. The stop flips when price closes through it. Because it's anchored to the structural wavelet line instead of noisy price, it produces cleaner, more decisive flip points. The trailing stop uses independent CMO (Chande Momentum Oscillator) + deadband hysteresis for its coloring — it only changes color when confirmed momentum cleanly breaches the CMO threshold, preventing color flicker during consolidation. Dual SuperTrend Envelopes Two SuperTrend calculations using smoothed Heikin-Ashi ATR create the outer structure: Slow SuperTrend (default mult 9.0) — the wide envelope defining macro trend boundaries Fast SuperTrend (default mult 6.0) — combined with the signal line to create the Fast Trigger dots The Fast Trigger is the midpoint of the fast SuperTrend and the Haar signal, plotted as orange circles for quick visual reference of momentum alignment. KAMA Midpoint & 4-State Fill A Kaufman Adaptive Moving Average smooths the midpoint between the slow SuperTrend and the Haar signal. The fill between the KAMA midpoint and the signal line uses four distinct color states based on whether price is above/below the slow SuperTrend and whether the signal is above/below the fast trigger — providing an immediate visual read on trend alignment and momentum phase. End The wavelet decomposition reveals the true step-by-step nature of price movement by mathematically separating signal from noise — use it alongside your own risk management and confluence analysis. Trade the structure, not the noise.
Indicatore Pine Script®
di Jamallo22
1
AG Pro HTF Bias Dashboard [AGPro Series]AG Pro HTF Bias Dashboard Overview / What it does AG Pro HTF Bias Dashboard is a higher-timeframe context tool built for traders who want a fast, structured view of directional conditions across multiple larger timeframes without crowding the chart with extra signals, zones, or decision noise. The script summarizes higher-timeframe bias in a compact dashboard and presents each selected row as Bull, Bear, or Neutral, together with a mode-specific status readout. The goal is not to predict the next candle or replace a full trade plan. The goal is to make larger-timeframe context easier to read at a glance. This indicator is designed to answer a simple but important workflow question: "What is the broader directional environment across the higher timeframes I care about right now?" Instead of forcing the user to manually flip through multiple charts and compare structure or trend conditions one by one, the dashboard keeps that information visible in a single panel. The script supports multiple bias engines so the same dashboard can be adapted to different styles of chart reading. Users can evaluate higher-timeframe context through EMA Stack alignment, confirmed Swing Structure, SuperTrend direction, or MACD Momentum agreement. This makes the tool flexible enough for trend-following traders, structure-based traders, and users who prefer momentum-style confirmation. Unlike many overlays that try to combine entries, exits, alerts, pattern detection, and signal generation inside one study, this script stays focused on one task: higher-timeframe directional context. That single-purpose design is intentional. It keeps the output clean, readable, and easier to integrate into an existing process. Unique Edge The main strength of this script is not signal generation. Its edge is structured context compression. Instead of plotting a large number of higher-timeframe elements directly on the chart, AG Pro HTF Bias Dashboard converts higher-timeframe conditions into a compact visual matrix. This makes it possible to assess multi-timeframe agreement quickly while keeping the chart itself relatively clean. A second differentiator is the ability to switch the bias engine. The dashboard is not locked to one interpretation framework. Users can work with: - EMA Stack, for ribbon-style alignment - Swing Structure, for confirmed HH/HL and LH/LL progression - SuperTrend, for ATR-based directional trend state - MACD Momentum, for momentum agreement between line, signal, and histogram Another important detail is the higher-timeframe validity filter. Rows that are not actually higher than the current chart timeframe are marked as Lower/EQ instead of being treated as valid higher-timeframe context. This helps keep the dashboard aligned with its intended purpose. The script also includes confluence logic, so the user can see not only the state of each row, but also the dominant higher-timeframe bias and how many valid rows support that direction. In practice, this helps users distinguish between broad directional agreement and mixed conditions. Methodology The dashboard can display three to five higher-timeframe rows, depending on user settings. Each row evaluates one selected timeframe and classifies it into Bull, Bear, or Neutral. Bias Mode options: 1) EMA Stack This mode evaluates directional alignment using a three-EMA structure. A bullish state requires price and the EMA ribbon to be aligned in bullish order. A bearish state requires the opposite alignment. When the full sequence is not aligned, the row can remain neutral and display a partial status such as 2/3 or 1/3 rather than forcing a directional label. 2) Swing Structure This mode uses confirmed pivot logic to read higher-timeframe structure. It looks for confirmed higher highs / higher lows or lower highs / lower lows, and then evaluates position relative to the active swing range. Because this logic depends on confirmed pivots, structure changes are naturally more selective and may appear later than faster trend models. 3) SuperTrend This mode reads directional state using an ATR-based trend framework. It is intended for users who prefer a cleaner directional state model rather than ribbon alignment. 4) MACD Momentum This mode classifies bias through agreement between the MACD line, signal line, and histogram. It is useful for traders who prefer momentum confirmation over structure or moving-average ordering. The dashboard then calculates: - the number of valid bullish rows - the number of valid bearish rows - the dominant higher-timeframe state - the confluence count across valid rows Optional chart context features are also included. Depending on settings, the script can color candles according to the active chart bias, plot the active EMA ribbon or SuperTrend on the chart, apply a subtle background tint when confluence is strong enough, and show a compact mini context tag on the chart. States / Context Output This indicator is a context dashboard, not an alert engine. It does not generate buy or sell alerts, does not mark trade entries, and does not claim to identify optimal execution points. Its outputs are state-based and contextual: - Bull - Bear - Neutral - Confluence summary - Mode-specific status text The mini chart tag, when enabled, is only a compact summary of dominant higher-timeframe direction and current confluence. It should be read as context, not as a trade instruction. Key Inputs Higher Timeframes Users can select three to five rows and define the exact higher timeframes to monitor. Bias Mode Choose between EMA Stack, Swing Structure, SuperTrend, and MACD Momentum. Engine Parameters The script exposes relevant inputs for each engine, including EMA lengths, Swing Strength, SuperTrend ATR settings, and MACD settings. HUD Controls The panel position and panel scale can be customized so the dashboard can fit different layouts and chart styles. Style Controls Users can adjust theme and directional colors for bullish, bearish, and neutral states. Chart Context Controls Optional features include candle coloring, active indicator plotting for EMA / SuperTrend, strong-confluence background tinting, mini context tag visibility, tag anchor, tag offset, and tag font size. Limitations & Transparency This script is not a prediction model. It summarizes directional context from user-selected higher-timeframe logic. Higher-timeframe tools can update only when data from those larger intervals updates. Because of that, the dashboard should be understood as a context layer rather than a real-time trigger engine. Swing Structure mode uses confirmed pivots. That means structure changes may appear later than faster directional methods, because confirmation requires completed pivot information. Neutral states do not necessarily mean the market is untradeable. They simply indicate that the selected bias engine does not currently show clear directional alignment under the chosen rules. The confluence count is a summary statistic, not a quality score. A larger number of aligned rows does not automatically mean a better trade. It only means more selected higher-timeframe rows currently point in the same direction. Rows marked Lower/EQ are excluded from valid higher-timeframe confluence because they are not above the active chart timeframe. This script is intended to support discretionary analysis and chart organization. It should be combined with the user’s own execution framework, risk model, and market understanding. Risk Disclosure This indicator is provided for analysis and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes. Market conditions can change quickly, and no single indicator or dashboard can remove uncertainty from trading or investing. Users should evaluate higher-timeframe context together with price action, liquidity, volatility, risk management, and their own decision process. Past behavior, historical alignment, or current confluence does not guarantee future performance.
Indicatore Pine Script®
di AGProLabs
3
Self-Aware Trend System [WillyAlgoTrader]🧠 Self-Aware Trend System (SATS) is an adaptive SuperTrend-based trend-following system that continuously measures its own operating environment through a 4-factor Trend Quality Index (TQI) and modulates band width, asymmetry, and flip logic in real time. Unlike a fixed SuperTrend — which uses the same ATR multiplier forever — SATS knows when the market is trending vs. chopping, compresses bands in clean trends to lock profit tighter, widens them in noisy conditions to avoid whipsaws, and can detect regime collapse through a "character-flip" even when price hasn't broken the band yet. Each confirmed signal comes with a full trade plan (Entry, SL, TP1/TP2/TP3 at user-defined R multiples), and the system tracks its own realized R, win rate, drawdown, and per-regime edge — building an honest, instrument-specific performance log directly on your chart. The name "Self-Aware" refers to one specific property: the indicator measures the quality of its own environment every bar and feeds that measurement back into its band width and flip conditions. It doesn't predict the future — it reacts to present conditions with mathematically defined adaptation rules. 🧩 WHY THESE COMPONENTS WORK TOGETHER A classic SuperTrend has one problem: its ATR multiplier is fixed. In a clean trending market the bands are too wide, giving back profit on every pullback. In a choppy market the bands are too tight, generating whipsaw after whipsaw. Traders try to fix this by manually switching multipliers per timeframe or per instrument — but that's guesswork. SATS chains a different approach: Market state measurement (TQI) → Non-linear band modulation → Asymmetric band widths → Character-flip detection → R-multiple trade plan → Outcome tracking → Regime-aware statistics The TQI engine measures market quality from four independent angles each bar (efficiency, volatility regime, structure, momentum persistence). The non-linear modulation translates that quality into band width — high quality compresses bands, low quality expands them, using a power curve that avoids both over-reacting to mild fluctuations and under-reacting to severe regime changes. Asymmetric bands tighten the active side (in the direction of the trend) while loosening the passive side — creating a "ratchet with leverage" that locks in profit faster than it invalidates the trend. Character-flip detection catches regime collapses (high quality → low quality) even when price hasn't broken the band — critical for exiting stale trends before they fully reverse. And performance tracking records every signal's realized R, building a real statistical picture of how the system performs on your specific instrument and timeframe. Without TQI, the bands are blind. Without asymmetry, profit-taking lags. Without character-flip, exits happen too late. Without performance tracking, you have no idea if the system has a real edge on your instrument. All four work together — each layer addresses a specific weakness of classic SuperTrend. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Trend Quality Index (TQI) — 4-factor continuous quality measurement. TQI is computed every bar as a weighted combination of four independent 0..1 factors: — 🧭 Efficiency (default weight 0.35) : Kaufman Efficiency Ratio = |close − close | / sum(|close − close |). Measures directional movement vs. total path. 1.0 = perfect straight line, 0.0 = pure noise. Default window 20 bars. — 📊 Volatility Regime (weight 0.20) : uses Volume Z-score when volume data is available (z = (volume − sma) / stdev, mapped from to ), or falls back to ATR ratio (current ATR vs. long-baseline ATR) on volume-less instruments. — 🏗️ Structure (weight 0.25) : price position within its recent range. pricePos = (close − lowest) / (highest − lowest). Then tqiStruct = |pricePos − 0.5| × 2. Trends pin price to one edge (1.0), chop oscillates around the midpoint (0.0). No ATR dependency. — ⏩ Momentum Persistence (weight 0.20) : of the last N bars, what fraction moved in the same direction as the overall window change? alignedBars / N. Default 10 bars. Final TQI = (factor1 × w1 + factor2 × w2 + factor3 × w3 + factor4 × w4) / sum(weights), clamped to 0..1. Each weight is user-configurable. 2️⃣ Non-linear band modulation with power curve. Instead of a linear "multiplier × (1 − tqi)", SATS uses a power curve: qualityDeviation = (1 − tqi)^curvePower tqiMult = 1 − qStrength + qStrength × (0.6 + 0.8 × qualityDeviation) With curvePower = 1.5 (default), mild quality drops (from 0.9 to 0.7) cause small band expansion, but severe drops (0.5 to 0.2) cause rapid expansion. This matches how traders actually think: ignore small wobbles, react strongly to clear regime changes. 3️⃣ Asymmetric band widths — ratchet with leverage. In a strong uptrend, the lower band (active, trailing price up) tightens while the upper band (passive, not used as stop) widens: activeMult = symMult × (1 − asymStrength × tqi × 0.3) passiveMult = symMult × (1 + asymStrength × tqi × 0.4) Effect: as trend quality rises, the trailing stop moves closer to price (locking profit faster) while the opposite band moves away (so an accidental pullback doesn't trigger a flip). This is the "leverage" — asymmetric response to confirmed trend strength. 4️⃣ EMA-smoothed multipliers before ratchet application. Raw TQI can spike bar-to-bar. If those spikes fed directly into the SuperTrend ratchet logic, bands would compress at a high-TQI bar and stay stuck there (SuperTrend math never loosens active bands against the trend). SATS EMA-smooths the multipliers (alpha 0.15) before ratchet application — preventing stickiness. This is the critical fix that makes adaptive SuperTrend actually work in practice. 5️⃣ Efficiency-weighted ATR. Used for band construction and SL/TP sizing (not for TQI itself, to avoid circular feedback): effATR = rawATR × (0.5 + 0.5 × ER) Clean trending volatility counts full (ER = 1.0 → effATR = rawATR). Noisy chop volatility is halved (ER = 0.0 → effATR = 0.5 × rawATR). This makes SL/TP distances proportional to "useful" volatility, not total volatility. 6️⃣ Character-flip detection with age guard. Classic SuperTrend only flips on price breaks. But a trend can die internally — quality collapses, momentum fades — before price actually breaches the band. Character-flip catches this: charFlipDown = prevTQI > 0.55 (high) AND currentTQI < 0.25 (low) AND trendAge ≥ minAge AND close < source The age guard (default 5 bars) prevents whipsaw on fresh trends — a newborn trend hasn't had time to establish quality, so early TQI noise can't kill it. After the age threshold, a quality collapse triggers an immediate flip even without price break. 7️⃣ Auto-fixed TP order. If a user accidentally sets TP1 > TP2 (or TP3 < TP2), the indicator automatically sorts them. Math: fixedMin = min(all), fixedMax = max(all), middle = sum − min − max. The three TP lines always end up in correct order on the chart regardless of user input order. 8️⃣ R-multiple trade planning with pivot-anchored SL. On each signal: — Entry = close at bar of confirmed flip — SL = min(pivot − slMult×ATR, entry − slMult×ATR) for longs (mirror for shorts) — TP1/2/3 = entry ± risk × R-multiple The SL uses whichever is further from entry — the recent pivot (if available) or a pure ATR distance. This ensures the stop always has a minimum ATR buffer regardless of how close the nearest pivot is. 9️⃣ Performance tracking with realized R accounting. Every signal is tracked bar-by-bar for TP hits, SL hits, and timeout (default 100 bars). On close-out, realized R is calculated assuming 1/3 position per TP: — TP3 hit: realized = (tp1R + tp2R + tp3R) / 3 (all three filled) — SL hit after TP1: realized = (1/3) × tp1R + (2/3) × (−1R) — SL hit after TP1+TP2: realized = (1/3) × tp1R + (1/3) × tp2R + (1/3) × (−1R) — Pure SL: realized = −1R — Timeout: realized = sum of already-hit TP portions (no penalty) Results feed a rolling buffer (up to 100 signals), which drives: — Rolling Win Rate — Rolling Avg R — Rolling drawdown (window DD) — All-time drawdown — Current and max win/loss streaks 🔟 9-cell regime edge tracking. Every completed signal is bucketed by the market regime at entry time: Efficiency bin (low/mid/high) × Volatility bin (low/normal/high) = 3×3 = 9 cells. Each cell accumulates its own EWMA of realized R. The dashboard shows the current regime's historical edge — e.g., "Trending + High Vol: +0.85R (23 trades)". This lets you see which market conditions the system actually profits in. 1️⃣1️⃣ Experimental self-calibration (off by default). When enabled, the system monitors its rolling avg R and drifts the Quality Influence parameter toward the user default if recent edge is poor (below threshold). This is explicitly marked experimental — no claim of improved results — and recommended off until validated on your instrument. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — TQI computation : Compute four factors (Efficiency, Volatility Regime, Structure, Momentum Persistence). Weight and combine into a single 0..1 value. Step 2 — ATR and effective ATR : rawATR = ta.atr(len). effATR = rawATR × (0.5 + 0.5 × ER). Step 3 — Adaptive multiplier : Apply legacy ER adaptation (optional) and non-linear TQI curve. If asymmetric bands enabled, split into active/passive multipliers. Step 4 — EMA smoothing : Smooth both multipliers with alpha 0.15 to prevent ratchet stickiness. Step 5 — SuperTrend bands : upperBand = source + upperMult × effATR. lowerBand = source − lowerMult × effATR. Ratchet logic: lower only rises, upper only falls, until a flip. Step 6 — Flip detection : Price flip (close crosses opposite band) OR character-flip (TQI collapse + age guard). On flip: reset trend age, start new segment. Step 7 — Trade plan : On confirmed flip, compute Entry/SL/TP1/TP2/TP3. Draw lines and labels. Cache the market regime (ER bin × Vol bin) for later edge attribution. Step 8 — Outcome tracking : Each bar, check active trade for TP1/TP2/TP3/SL hits and timeout. On close-out, calculate realized R, push to history buffer, update rolling stats, drawdown, streaks, and regime cell. Step 9 — Dashboard render : On last bar, render live state (Trend, TQI, regime, performance stats, TQI breakdown, regime edge). 📖 HOW TO USE 🎯 Quick start: 1. Add indicator — preset is "Auto" (adapts to your current timeframe) 2. Green line = bullish trend, red = bearish trend 3. Line transparency reflects TQI: bright = high quality, faded = low quality 4. ▲ BUY / ▼ SELL labels appear on confirmed flips 5. Entry, SL, TP1, TP2, TP3 lines drawn automatically at the signal 6. Copy levels to your exchange, let the dashboard track outcomes 👁️ Reading the chart: — 🟢 Bright green line = bullish trend with high TQI — aggressive participation — 🟢 Faded green line = bullish trend with low TQI — cautious, possible regime shift — 🔴 Bright red line = bearish trend with high TQI — 🔴 Faded red line = bearish trend with low TQI — Line flip + label = new trade signal — Dashed TP lines turning solid + "✓" = TP was hit — Score on label (e.g., "85/102") = multi-factor confluence strength 📊 Dashboard fields: — Preset: Auto-resolved (Scalping / Default / Swing / Crypto) — Trend: Bullish ▲ / Bearish ▼ — TQI: current quality index (0..1) — Q.Strength: effective Quality Influence (may drift if auto-calibration enabled) — Signal: current bar signal (BUY / SELL / —) — Regime: Trending / Mixed / Choppy + Low/Norm/High Vol — ER / RSI / Vol Z: raw filter values — TQI Components breakdown: Efficiency / Volatility / Structure / Momentum (each 0..1) — Performance section: Win Rate, Avg R, Window DD, All-Time DD, Streak W/L, Regime Edge 🔧 Tuning guide: — Too many whipsaws : increase Quality Influence (0.5–0.7), increase Structure weight, increase Base Band Width — Missing moves / signals too late : decrease Quality Influence (0.2–0.3), decrease Base Band Width, increase asymmetry — Choppy instrument : use Swing preset, enable Character-Flip, raise minAge to 10+ — Strong trending instrument : use Scalping preset, enable Asymmetric Bands with strength 0.6+ — No volume data : automatically falls back to ATR ratio for volatility regime — no action needed ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Preset : Auto / Custom / Scalping / Default / Swing / Crypto 24/7 (auto-adapts ATR, band width, ER window, RSI, SL multiplier) — ATR Length (13), Base Band Width (2.0 × ATR) 📐 Trend Quality Engine: — Enable TQI (default On) — Quality Influence (0.4): how strongly TQI compresses/expands bands — Quality Curve Power (1.5): non-linearity — Smooth Adaptive Multipliers (On): critical fix for ratchet stickiness — Asymmetric Bands (On) + Asymmetry Strength (0.5) — Efficiency-Weighted ATR (On) — Character-Flip (On) + Min Age (5) + High/Low TQI thresholds (0.55 / 0.25) — TQI factor weights : ER 0.35, Volatility 0.20, Structure 0.25, Momentum 0.20 🎯 Risk: — SL Buffer (1.5 × ATR), TP1/2/3 R-multiples (1.0 / 2.0 / 3.0), Trade Timeout (100 bars) 🤖 Self-Learning (experimental): — Auto-calibration (default Off), calibration window, bad/good R thresholds, quality step, cooldown, floor/ceiling — Reset Learning Memory button 📊 Dashboard: position, TQI breakdown toggle, performance stats toggle, score breakdown toggle 🔔 Alerts — 🟢 BUY — ticker, TF, price, TQI, score, SL, TP1, TP2, TP3 — 🔴 SELL — same payload Plain text and JSON webhook formats supported. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. SuperTrend ratchet logic is monotonic — once the trailing band moves, it cannot move back against the trend until a flip. Character-flip uses only previous-bar TQI and current-bar close, both available at bar close. — 📊 TQI is descriptive, not predictive. It measures current market quality from 4 factors — it does not forecast future price. A high TQI reading means "the market is currently behaving like a trend" — it can still fail on the next bar. — 📏 Performance stats are walk-forward, not backtested. The rolling buffer records signals as they happen, bar by bar. Drawdown, win rate, and regime edge are honest forward-looking statistics on your specific instrument and timeframe — not curve-fitted optimization results. — ⚖️ The realized R accounting assumes 1/3 position per TP . This mirrors a standard "scale out at each target" approach. Traders who hold full position to a single target should interpret the R values accordingly. — 🔄 Auto-calibration is experimental. It's off by default and should stay off until you've validated it on your specific instrument. The drift is mean-reverting (toward your user default), not profit-maximizing — no claim of improvement is made. — 🔒 The Reset Learning Memory button clears the rolling buffer, regime cells, drawdown, and streak stats. Use when changing instruments or after significant market regime shifts. — 🛠️ SATS is a decision-support and trade-planning tool , not an automated bot. It identifies trend conditions, measures environmental quality, provides structured trade plans with R-based targets, and tracks outcomes — trade decisions and execution remain yours. — 🌐 Works on all markets and timeframes. Volume-dependent features (Volume Z in TQI) auto-fall-back to ATR-based measurement when volume data is unavailable.
Indicatore Pine Script®
di WillyAlgoTrader
112
BTC Ultimate Entry System BTC Ultimate Entry System A multi-criteria scoring indicator designed for high-conviction entries on 15-minute BTCUSDT charts. Combines 7 technical factors into a single coherent signal, eliminating guesswork. How It Works The indicator scores each candle against 7 criteria: 2HR EMA bias, local EMA slope, Supertrend direction, Bollinger Band touches, VWAP alignment, volume spike confirmation, and RSI/Stochastic RSI momentum. When your threshold is met (default: 5/7), a signal fires with automatic ATR-based risk levels. The 7 Criteria 2HR EMA Bias — Higher-timeframe directional confirmation EMA 9/21 Slope — Local momentum on your chart Supertrend — Trend-following filter BB Band Touch — Reversal or bounce setup VWAP Side — Volume-weighted price alignment Vol Spike + OBV — Conviction confirmation RSI / Stoch RSI — Momentum without overbought/oversold extremes Visual Signals Full arrows (▲/▼) = Signal fired, ready to enter Dimmer dots = Watch mode, one criterion away Green/red volume backgrounds = Directional volume spike Orange backgrounds = RSI in extreme zone, use caution Auto-drawn SL/TP lines = ATR-based risk/reward Real-Time Dashboard Live text display shows current score, bias direction, all 7 criteria status, MTF context (1H/4H EMA), and entry/SL/TP levels. Customizable Adjust min score threshold, EMA lengths, Supertrend factor, Bollinger Band sensitivity, volume spike multiplier, and RSI parameters. Three trading style presets included. Best For Day traders and swing traders on BTCUSDT 15m charts seeking entries with 2–3x risk:reward and 55%+ win rate. Paper Trade First Run in paper trading mode for 10–15 signal cycles before live trading. Always confirm signals visually on the chart. Character count: ~1,100 (fits TradingView's description limit) Feel free to trim or adjust tone based on your publishing style.
Indicatore Pine Script®
di Todrock
1