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Bull Flag & Flat Top Breakout DetectorBull Flag & Flat Top Detector - Quick Reference Guide Pattern Overview 🚩 Bull Flag ╱╲ ╱ ╲ ← Pullback (2-5 red candles) ╱ ╲ ╱ ╲____ ╱ ╲ │ │ │ THE POLE │ ← Strong upward move (3+ green candles) │ │ └──────────────┘ What to look for: Strong initial move (the "pole") - 3+ green candles, 3%+ move Brief pullback - 2-5 candles, less than 50% retracement Pullback should "drift" lower, not crash Entry on first candle to make new high after pullback 📊 Flat Top Breakout ════════════════ ← Resistance (multiple touches) ↑ ↑ ↑ ╱╲ ╱╲ ╱╲ ╱ ╲╱ ╲╱ ╲ ← Consolidation ╱ ╲ ╱ ╲ What to look for: Multiple touches of same resistance level (2+) Tight consolidation range Each failed breakout builds pressure Entry on convincing break above resistance with volume Signal Types SignalShapeColorMeaningBull Flag Breakout▲ TriangleLimeEntry signal - go longFlat Top Breakout◆ DiamondAquaEntry signal - go longBear Flag Breakout▼ TriangleRedShort entry (if enabled)Pattern Forming🚩 FlagFaded GreenBull flag developingPattern Forming■ SquareFaded BlueFlat top developing Level Lines Explained LineColorStyleMeaningEntryLimeSolidBreakout trigger priceStop LossRedDashedExit if price falls hereTarget 1AquaDottedFirst profit target (2R)Target 2YellowDottedSecond profit target (3R) Info Table Reference FieldWhat It ShowsBull FlagScanning / Forming 🚩 / Breakout ✓Flat TopScanning / Forming 📊 / Breakout ✓PullbackCandle count + retracement %Rel VolumeCurrent bar vs averageEMA 20Above ✓ or Below ✗VWAPAbove ✓ or Below ✗Green StreakConsecutive green candles (pole)ResistanceTouch count for flat top Trading Checklist Before Entry ✅ Pattern status shows "FORMING" or "BREAKOUT" Price above EMA (table shows ✓) Price above VWAP (table shows ✓) Relative volume 1.5x+ (ideally 2x+) Stock is in play (up 5%+ on day, has catalyst) Market direction supportive (not fighting trend) Entry Execution Wait for breakout candle to form Confirm volume spike on breakout Enter as close to entry line as possible Set stop loss at red dashed line Know your target levels Trade Management If no immediate follow-through → consider exit ("breakout or bailout") Take 50% off at Target 1 Move stop to breakeven Let remainder run toward Target 2 Exit fully if price returns below entry Bull Flag Quality Checklist Pole Quality: FactorIdealAcceptableAvoidGreen candles5+3-4Less than 3Move size10%+3-10%Less than 3%VolumeIncreasingSteadyDecliningCandle bodiesLargeMediumSmall/doji Pullback Quality: FactorIdealAcceptableAvoidCandle count2-34-56+RetracementUnder 38%38-50%Over 50%VolumeDecliningSteadyIncreasingCharacterOrderly driftChoppySharp drop Flat Top Quality Checklist FactorGood SetupWeak SetupTouches3+ at same levelOnly 2, widely spacedToleranceVery tight (0.2%)Loose (1%+)Duration5-15 barsToo short or too longVolumeDrying upErraticPrior trendUpSideways/down Common Mistakes to Avoid ❌ Entering too early Wait for actual breakout, not anticipation "Forming" ≠ "Breakout" ❌ Ignoring volume No volume = likely false breakout Require 1.5x+ relative volume minimum ❌ Fighting the trend Check EMA and VWAP status Both should be ✓ for high probability ❌ Wide stops Stop should be below pullback low If stop is too wide, skip the trade ❌ Holding losers "Breakout or bailout" - if it doesn't work, exit Failed breakouts often reverse hard ❌ Chasing extended moves If you missed entry, wait for next pattern Don't chase 5+ candles after breakout Risk Management Rules Position Sizing Risk Amount = Account × Risk % (typically 1-2%) Position Size = Risk Amount ÷ (Entry - Stop) Example: Account: $25,000 Risk: 1% = $250 Entry: $5.00 Stop: $4.70 Risk per share: $0.30 Position Size: $250 ÷ $0.30 = 833 shares Risk-Reward Targets TargetR MultipleExample (risk $0.30)Target 12:1+$0.60 ($5.60)Target 23:1+$0.90 ($5.90) Timeframe Guide TimeframeProsConsBest For1-minMore patterns, precise entryNoisy, false signalsScalping5-minGood balance, cleaner patternsFewer signalsDay trading15-minHigh quality patternsMiss fast movesSwing entries Settings Quick Reference Default Settings (Balanced) Pole: 3 candles, 3% move Pullback: 2-5 candles, 50% max retrace Volume: 1.5x required Filters: EMA + VWAP ON Aggressive Settings Pole: 2 candles, 2% move Pullback: 2-6 candles, 60% max retrace Volume: 1.2x required Filters: VWAP OFF Conservative Settings Pole: 4 candles, 5% move Pullback: 2-4 candles, 40% max retrace Volume: 2.0x required Filters: Both ON Alert Setup Recommended Alerts "Bull Flag Forming" Get early warning as pattern develops Prepare your position size and levels "Bull Flag Breakout" Primary entry alert React quickly when triggered "Any Bullish Breakout" Catch both bull flags and flat tops Good for watchlist scanning Alert Setup Steps Right-click chart → Add Alert Condition: Select "Bull Flag & Flat Top Breakout Detector" Choose alert type from dropdown Set expiration and notification method Troubleshooting Q: Patterns not detecting? Lower the Min Pole Move % setting Reduce Min Pole Candles requirement Check that price is in acceptable range Q: Too many false signals? Increase volume multiplier to 2.0x Enable both EMA and VWAP filters Increase Min Pole Move % Q: Levels not showing? Enable "Show Entry Line", "Show Stop Loss", "Show Targets" Check "Max Patterns to Display" setting Q: Info table not visible? Enable "Show Info Table" in settings Try different table position Pattern Combinations Best Setups (A+ Quality) Bull flag on a gap day (Gap & Go → Bull Flag) Flat top at pre-market high resistance Pattern forming above VWAP with 5x+ volume Avoid These Bull flag below VWAP Flat top in downtrending stock Low volume patterns Patterns late in the day (after 2pm) Daily Routine Pre-Market (7-9am) Build watchlist of gappers (5%+, high volume) Apply indicator to top 3-5 candidates Note pre-market levels Market Open (9:30-10:30am) Watch for "FORMING" status on watchlist Prepare entries as patterns develop Execute on breakout signals Manage trades according to plan Midday (10:30am-2pm) Look for second-wave patterns Be more selective (less momentum) Consider tighter stops Close (2-4pm) Generally avoid new patterns Manage existing positions Review day's trades
Wskaźnik Pine Script®
od DayTradingMD1992
Global Liquidity Score Global Liquidity Score – Simple Risk-On / Risk-Off Gauge This indicator measures overall market liquidity conditions using a single, normalized score. It takes several macro and crypto variables, standardizes each one (z-score), and combines them into one clear Liquidity Score Line. You only follow one line (your pink/white line). The background color shows the current liquidity regime. ⸻ What the indicator measures The algorithm looks at four major liquidity sources: 1. USD Liquidity (tightening or easing) • DXY (strong dollar = tighter global liquidity) • US10Y yield (higher yields = liquidity drain) 2. Risk Sentiment (risk-on vs risk-off) • VIX index (volatility) • S&P 500 index (SPX) 3. Credit Market Strength • High-yield ETFs: HYG, JNK • Investment-grade corporate credit: LQD Stronger credit = easier liquidity. Weaker credit = tightening risk. 4. Internal Crypto Liquidity • USDT dominance (higher = risk-off in crypto) • Bitcoin price • TOTAL2 (crypto market cap excluding BTC) These are all converted into z-scores and combined into one metric: Total Liquidity Score = USD Block + Risk Block − Credit Block − 0.5 × Crypto Block ⸻ How to read the colors The indicator uses background colors to show the liquidity regime: Color Meaning Dark Red Severe liquidity tightening / strong risk-off Red Mild-to-moderate tightening Green Liquidity easing / soft risk-on Dark Green Strong easing, high liquidity / risk-on Your pink/white line = the final liquidity score. You only need to follow that single line. ⸻ How to interpret the score 📉 Positive score → Liquidity Tightening (Risk-Off) • USD stronger • Yields rising • Volatility rising • Credit markets weakening • Crypto rotating to stablecoins 📈 Negative score → Liquidity Easing (Risk-On) • USD weakening • Yields falling • Stocks rising • Volatility low • Credit markets strong • Crypto beta assets outperform ⸻ What this indicator is NOT This is not a price predictor. It does not follow BTC directly. It tells you liquidity conditions, not immediate price direction. It answers the macro question: “Is liquidity flowing INTO the market or OUT of the market?” If liquidity is tightening (red), crypto rallies are harder to sustain. If liquidity is easing (green), crypto rallies have more fuel.
Wskaźnik Pine Script®
od FTH33
AP Capital – Volatility + High/Low Projection v1.1📌 AP Capital – Volatility + High/Low Projection v1.1 Predictive Daily Volatility • Session Logic • High/Low Projection Indicator This indicator is designed to help traders visually understand daily volatility conditions, identify session-based turning points, and anticipate potential highs and lows of the day using statistical behavior observed across thousands of bars of intraday data. It combines intraday session structure, volatility regime classification, and context from the previous day’s expansion to highlight high-probability areas where the market may set its daily high or daily low. 🔍 What This Indicator Does 1. Volatility Regime Detection Each day is classified into: 🔴 High Volatility (trend continuation & expansion likely) 🟡 Normal Volatility 🔵 Low Volatility (chop, false breaks, mean-reversion common) The background color automatically adapts so you always know what environment you're trading in. 2. Session-Based High/Low Identification Different global sessions tend to create different market behaviors: Asia session frequently sets the LOW of day New York & Late US sessions frequently set the HIGH of day This indicator uses those probabilities to highlight potential turning points. 3. Potential High / Low of Day Projections The script plots: 🟢 Potential LOW of Day 🔴 Potential HIGH of Day These appear only when: Price hits the session-statistical turning zone Volatility conditions match Yesterday’s expansion or compression context agrees This keeps signals clean and prevents over-marking. 4. Clean Visuals Instead of cluttering the chart, highs and lows are marked only when conditions align, making this tool ideal for: Session scalpers Day traders Gold / NAS100 / FX intraday traders High-probability reversal traders 🧠 How It Works The engine combines: Daily range vs 20-day average Real-time intraday high/low formation Session-specific probability weighting Previous day expansion and volatility filters This results in highly reliable signals for: Fade trades Reversal setups Timing entries more accurately ✔️ Best Uses Identifying where the day’s range is likely to complete Avoiding trades during low-volatility compression days Detecting where the market is likely to turn during major sessions Using potential HIGH/LOW levels as take-profit zones Enhancing breakout or reversal strategies ⚠️ Disclaimer This indicator does not repaint, but it is not a standalone entry tool. It is designed to provide context, session awareness, and volatility-driven turning points to assist your existing strategy. Always combine with sound risk management.
Wskaźnik Pine Script®
od APCapitalTrading
Trend Mastery:The Calzolaio Way🌕 Find the God Candle. Capture the gains. Create passive income. Fellow F.I.R.E. Decibels, disciples of the Calzolaio Way—welcome to the sacred toolkit. This indicator, "SulLaLuna 💵 Trend Mastery:The Calzolaio Way🚀," is forged from the elite SulLaLuna stack, drawing wisdom from Market Wizards like Michael Marcus (who turned $30k into $80M through disciplined trend riding) and Oliver Velez's pristine strategies for profiting on every trade. It's not just lines on a chart—it's your architectural blueprint for financial sovereignty, where data meets divine timing to build the cathedral of Project Calzolaio. We trade math, not emotion. We honor timeframes. Confluence is King. This indicator deploys the Zero-Lag SMA (ZLSMA), Hull-based M2 (global money supply as a macro trend oracle), ATR-smart stops, and multi-TF alignments to ritualize God Candle setups. Backtested across asset classes, it's modular for your playbooks—small risks, compounding gains, passive income streams. Why This Indicator is Awesome: The Divine Confluence Engine In the spirit of "Use Only the Best," this tool synthesizes proven SulLaLuna indicators like ZLSMA, Adaptive Trend Finder, and Momentum HUD with Velez's lessons on trend reversals, support/resistance, and psychology of fear. Here's why it reigns supreme: 1. Global M2 Hull: Macro Trend Oracle Scaled M2 (summed from major economies like US, EU, JP) via Hull MA captures the "big picture" (Velez Ch. 2). It flips colors as S/R—green for support (bullish bounce zones), red for resistance (bearish ceilings), orange neutral. Like Marcus spotting commodity booms, it signals when liquidity sweeps ignite God Candles. Extend it for future price projections, honoring "How a Trend Ends" (Velez Ch. 5). 2. ZLSMA + ATR Smart Stops: Surgical Precision Zero-Lag SMA (faster than standard MAs) crosses M2 for entries, with ATR bands for initial stops (2x mult) and trails (1x mult). This embodies "Trade Small. Lose Smaller."—risk ≤1-2% per trade, pre-planned exits. Flip markers (↑/↓) alert divine timing, filtering noise like Velez's "First Pullback" setups. 3. HTF & Multi-TF Dashboard: Timeframe Alignments are Sacred Show HTF M2 (e.g., Daily) with custom styles/colors. Multi-TF lines (4H, D, W, M) dash across your chart, labeled right-edge with 🚀 (bull) or 🛸 (bear). A confluence table (top-right) scores alignments: Strong Bull (≥3 green), Strong Bear, or Mixed. This is "Confluence is King"—no single signal rules; seek 4+ star scores like Rogers buying value in hysteria. 4. Background & Ribbon: Visual Divine Guidance Slope-based bgcolor (green bull, red bear) for at-a-glance bias. M2 Ribbon (EMA cloud) flips triangles for macro shifts, ritualizing climactic reversals (Velez Ch. 7). 5. Composite Probability: High-Prob God Candle Hunter Scores (0-100%) blend 8 factors: price/ZLSMA vs M2, TF slopes, ribbon. Threshold (70%) + pivot zone (near M2/ATR) + optional cross filters for HP signals. Labels show "%" dynamically—alerts fire when confluence ≥4, echoing Schwartz's champion edge: "Everybody Gets What They Want" (Seykota wisdom). 6. Alerts & Rituals Built-In M2 flips, entries/exits, HP longs/shorts—log them in your journal. Weekly reviews dissect anomalies, as per our Operational Framework. This isn't hype—it's audited excellence. Backtest it: High confluence crushes drawdowns, compounding like Bielfeldt's T-bond mastery from Peoria. We build together; share wins in the F.I.R.E. Decibel forum. Suggested Strategy: The SulLaLuna M2 Confluence Playbook Honor the Risk Triad: Position ↓ if leverage/timeframe ↑; scale ↑ only on ≥4 confluence. Align with "God Candle" hunts—rare explosives reverse-engineered for passive streams. 1. Pre-Trade Checklist (Before Every Entry) - Trend Alignment: D/4H/1H M2 slopes agree? Table shows Strong Bull/Bear? - Signal on 15m: ZLSMA crosses M2 in confluence zone (near pivot/ATR bands). - Volume + Divergence**: Supported by volume (use HUD if added); score ≥70%. - SL/TP Setup: ATR-based stop; TP at structure/2-3R reward (Velez Reward:Risk). - HTF Agrees: Monthly bull for longs; avoid counter-trend unless climactic (Ch. 7). Confluence Score: Rate 1-5 stars. <3? Stand aside. Log emotional state—no adrenaline. 2. Execution Protocol - Entry: On HP Long/Short triangle (e.g., ZLSMA > M2, score 80%+, monthly bull). Use limits; favor longs above M2 support. - Position Size: ≤1-2% risk. Example: $10k account, 1% risk = $100 SL distance → size accordingly. - Trail Stops: Move to trail band after 1R profit; let winners run like Kovner's world trades. - Asset Classes**: Forex/stocks/crypto—test M2's macro edge on EURUSD or NASDAQ (Velez Ch. 6 reviews). Ritualize: "When we find the God Candele, we don’t just ride it—we ritualize it." Screenshot + reason. 3. Post-Trade Ritual - Document: Result, confluence score, lessons. Update journal. - Exits: Hit stop/exit cross? Or trail locks gains. - Weekly Audit: Wins/losses, anomalies. Adjust params (e.g., M2 length 55 default). 4. Risk Triad in Action - Low TF (15m)? Smaller size. - High Leverage? Tiny positions. - Confluence ≥4 + HTF support? Scale hold for passive compounding. Example Setup: God Candle Long - Chart: 15m EURUSD. - M2 Hull green (support), ZLSMA crossover, 4H/D/W bull (table: Strong Bull). - HP Long (85% score) near pivot. - Entry: Limit at cross; SL below ATR lower; TP at next resistance. - Outcome: Capture 2R gain; trail for more if trend day (Velez Ch. 5). Community > Ego: Test, share signals in Discord. Backtest in Pine Script for algo evolution. We are architects of redemption. Each trade bricks the cathedral. Trade the micro, flow with the macro. When alignments converge, we act—with discipline, data, and divine purpose.
Wskaźnik Pine Script®
od Calzolaio
Impulse Trend Suite (LITE) — v1.1.1🚀 Impulse Trend Suite (LITE) — v1.1.1 Smart trend visualization with precise flip arrows. A lightweight, momentum-filtered trend tool designed to stay clean, avoid repeated signals, and keep you focused only on real market direction. ✨ What’s New in v1.1.1 Higher-contrast trend zones (green/red/neutral) Larger BUY/SELL arrows + clearer labels Clean, thin ATR channel lines (improved readability) Minor UI polishing to reduce chart noise 📌 Core Features Trend flip arrows (no spam, 1 signal per turn) Continuous background zones (gap-free trend shading) Adaptive Baseline + ATR structure channel RSI + MACD momentum filter (suppresses weak signals) Trend Status Panel (UP, DOWN, NEUTRAL) 🔍 Quick Guide BUY setup = green arrow + green background SELL setup = red arrow + red background Stay in the move while color doesn’t change ATR channel helps avoid chasing overextended candles 🆚 LITE vs PRO Feature‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ LITE‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ PRO ---------------------‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ --------‎ ‎ ‎ ‎ ‎ ------------------------------ Trend shading + arrows‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ + confirmations Neutral trend state‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ enhanced Alerts‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ full suite Reversal Zones‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ predictive boxes HTF Filter‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ smarter trend bias Included strategies‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎✔ + PDF training ======================================================== 🔓 Upgrade to PRO Reversal Zones • Alerts • HTF Filter • Trend Continuation Strategy 👉 fxsharerobots.com/impulse-trend-pro/ 📈 Works on Forex, Stocks, Crypto, Indices, Metals ⌚ Scalping • Intraday • Swing • Long-term ========================================================== ⚠️ LITE - Educational tool. Backtest before trading live. Visit us for Full Trading Tools Collection here: www.fxsharerobots.com Happy trading! — FxShareRobots Team
Wskaźnik Pine Script®
od FxShareRobots
[CT] Kurutoga MTF HistogramWhat is Kurutoga MTF Histogram? The Kurutoga MTF Histogram is a multi-time-frame momentum and mean-deviation tool. It measures how far the current close is trading away from a rolling midpoint of price and then displays that deviation as a color-coded histogram. Instead of looking only at one lookback, this version plots three Kurutoga “leads” at the same time: Kurutoga Lead (x1) – base length Kurutoga Lead 2x – slower, 2 × base length Kurutoga Lead 4x – slowest, 4 × base length Each lead is calculated both on the chart’s timeframe (LTF) and on a Higher Time Frame (HTF) of your choice, so you can see short-term deviation inside a higher-time-frame structure. 4-color Kurutoga scheme Each Kurutoga lead uses a 4-color MACD-style scheme: For a given lead: Up Light – divergence ≥ 0 and rising compared to the previous bar Up Dark – divergence ≥ 0 and falling (positive but losing momentum) Down Light – divergence < 0 and falling (bearish momentum increasing) Down Dark – divergence < 0 and rising (negative but contracting) By default the same four teal / red hues are shared across x1, x2, and x4. The only difference between the leads is transparency: x1 = strongest (least transparent) x2 = medium opacity x4 = faintest This lets you see all three layers at once without the chart becoming a solid block of color. The HTF areas use the same palette but with an extra transparency offset applied, so they appear as soft background bands rather than competing with the histograms. Inputs and how to use them 1. Base Length Defines the lookback for the main Kurutoga Lead. The script automatically creates: len1 = baseLength len2 = baseLength × 2 len3 = baseLength × 4 Smaller base lengths → faster, more reactive histograms. Larger base lengths → smoother, trend-focused behavior. 2. Higher Time Frame This is the HTF used for the area plots and HTF midpoints. Examples: 5-minute chart with HTF = 30 or 60 minutes 15-minute chart with HTF = 4H or 1D The idea is to trade on the lower timeframe while seeing how far price is stretched relative to a higher-time-frame range midpoint. 3. Show / Hide toggles Under “Show / Hide” you can independently turn on/off: Kurutoga Lead (x1) Kurutoga Lead 2x Kurutoga Lead 4x HTF Lead, HTF Lead 2x, HTF Lead 4x This lets you: Run only a single Kurutoga if you want a clean panel, or Stack multiple leads for a “multi-speed” view of extension and mean reversion. 4. Color Scheme (4-color Kurutoga) Up Light / Up Dark / Down Light / Down Dark – base hues used for every lead. Lead opacity (x1, 2x, 4x) – sets how strong or faint each lead appears. x1 is usually your primary “trading speed.” x2 and x4 can be faded so they act as context. Extra transparency for HTF areas – additional opacity applied on top of each lead’s opacity when drawing HTF areas. This keeps the HTF layer subtle. You can fine-tune the exact teal/red values here to match your personal palette. Practical reading & trade ideas Trend alignment When all three Kurutoga leads (x1, 2x, 4x) are above zero, price is trading above its rolling mid-range on multiple speeds → bullish environment. When all three are below zero, you have a multi-speed bearish environment. Mixed readings (e.g., x1 above zero, x4 below zero) can signal transition or mean-reversion areas. Momentum vs exhaustion Up Light / Down Light (light colors) show momentum expanding in that direction. Up Dark / Down Dark (dark colors) show momentum contracting – price still on that side of zero, but the push is weakening. After a run of Up Light bars, a shift to Up Dark may hint at a stall or pullback. After a run of Down Light bars, a shift to Down Dark may hint at short covering / bounce potential. Multi-time-frame confluence Use the HTF areas as a backdrop: If LTF Kurutoga leads are above zero while the HTF area is also positive (and ideally expanding), that’s strong bullish alignment. If LTF leads are trying to flip up while HTF divergence is still deeply negative, you may be looking at a counter-trend bounce rather than a true trend change. Example setups Trend-following entries: Look for x2 & x4 leads on the same side of zero as the HTF area, then use x1 color shifts (from Down Dark → Up Light or vice versa) to fine-tune entries in the direction of that higher-time-frame bias. Mean-reversion fades: Watch for extreme Kurutoga values where x1/x2 are strongly extended beyond zero while color flips from Light to Dark (momentum stalling) against an opposing HTF backdrop . Notes The indicator is non-directional by itself – it measures distance from a rolling midpoint rather than trend structure or order flow. It works best when combined with your existing price action/trend tools (moving averages, HLBO, structure zones, etc.). Because HTF values are brought down via request.security, choose HTF settings that make sense for your product and session (for example, don’t use very high HTFs on thin intraday markets). Use the Kurutoga MTF Histogram as a visual scanner for extension, momentum regime, and multi-speed alignment, then layer your own entry/exit rules on top.
Wskaźnik Pine Script®
od ChaosTrader63
DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically. It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline. When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets. This system adapts to volatility, filters noise, and seeks sustained directional moves. ⯁ KEY FEATURES DEMA-Volatility Hybrid Filter Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline. Directional Shift Entries Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value). Noise Reduction Mechanism ATR range caps extreme moves and prevents false flips during choppy volatility spikes. Multi-Level Take Profits Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction. Volatility-Adaptive Targets ATR multiplier ensures profit targets expand/contract based on market conditions. Single-Direction Exposure No pyramiding; the strategy flips position only when trend shifts. Automated Trade Finalization When all profit targets trigger, the position is fully closed. ⯁ STRATEGY LOGIC Trend Direction: DEMA baseline is modified using ATR upper/lower envelopes. • If the adjusted DEMA rises above previous value → Bullish • If it falls below previous value → Bearish Entry Rules: • Enter Long when bullish shift occurs and no long position exists • Enter Short when bearish shift occurs and no short position exists Take Profit Logic: 3 partial exits for each trade based on ATR: • TP1 = ±1× ATR • TP2 = ±2× ATR • TP3 = ±3× ATR Profit distribution: 30% / 30% / 40% Exit Conditions: • Exit when all TPs hit (full scale-out if sum of all TPs 100%) • Opposite trend signal closes current trade and opens new one ⯁ WHEN TO USE Trending environments Medium–high volatility phases Swing trading and intraday trend plays Markets that respect momentum continuation (crypto, indices, FX majors) ⯁ CONCLUSION This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
Strategia Pine Script®
od ChartPrime
2
Dimagi72 Trend Suite (EMA/SMA + 52W + Cross Signals)Dimagi72 Trend Suite is an advanced trend analysis tool designed to give traders a clear picture of market direction, momentum, and major structural turning points. It combines the most reliable long-term and short-term signals into one clean, easy-to-read indicator. Features • EMA9 & EMA21 for short-term momentum • SMA50, SMA100, SMA200 for medium & long-term trend structure • 52-Week High & Low levels for institutional support/resistance • Golden Cross / Death Cross signals (SMA50 vs SMA200) • Trend Strength Meter, shown directly on the chart • Clean labels without clutter • Designed for crypto, stocks, and forex on all timeframes (best on Daily) How it works The indicator measures alignment between EMAs and SMAs, tracks long-term institutional levels, and highlights major trend reversals through cross signals. The Trend Strength Meter calculates a score from -4 to +4, making trend direction instantly visible. Why use this indicator This suite brings together the most widely used trend-following tools into one unified system. It helps traders quickly determine when the market is bullish, bearish, or neutral — and when major reversals may be forming. Best for: Swing traders, long-term trend followers, crypto traders, and anyone who wants a clean visual overview of the trend without using multiple separate indicators. Tags (use these to show up in search) trend ema sma trend-following golden cross death cross momentum trend strength 52 week high crypto stocks market structure
Wskaźnik Pine Script®
od Dimagi72
MAHI Indicator v9.5 - Smart Momentum HUD + IntradayMAHI Indicator v9.5 — Smart Momentum HUD (Multi-Framework + Intraday Engine) A Complete Momentum, Trend, and Setup Framework for Swing, Position & Intraday Traders MAHI v9.5 is the most advanced version yet — a highly optimized, visual, multi-framework trading system that blends momentum, trend alignment, adaptive setup detection, and now Auto-Intraday Mode for short-term traders. This indicator acts like a Heads-Up Display (HUD) on your chart: it shows trend strength, squeeze zones, dynamic support/resistance, EMAs, setup validation, and early reversal signals in one clean interface — without clutter. ✔ Core Features 📌 1. Smart Momentum Ribbon A dynamic EMA-based momentum band that visually shifts as trend strength changes. Helps identify strong vs. weak momentum zones Adapts to volatility & trend slope Works on all timeframes (1m to 1M) 📌 2. EMA 9 → 21 Flip System A precision trend-switching signal: EMA 9 → 21 BULL = early bullish momentum EMA 9 → 21 BEAR = early bearish momentum More reliable than stand-alone MA crossovers 📌 3. Bullish Setup Engine (Standard + Weak) Automatically identifies when price is entering a reversal-ready state based on: Position relative to the ribbon Candle structure Momentum compression Slope + exhaustion conditions Includes: Bull Setup (Standard) — Higher probability setup Bull Setup (Weak) — Early or less developed setup Setup Invalidated — Confirms that the pattern failed This prevents false confidence & keeps traders disciplined. 📌 4. Strong Buy / Strong Sell Signals Only appear when multiple confirmations align: Ribbon bias EMA slope Momentum compression Trend alignment Filtered to remove noise — especially in lower timeframes. 📌 5. Multi-Timeframe Trend HUD Top-right panel summarizing: Overall Trend (Bullish, Bearish, Neutral) RSI Condition Daily vs Weekly Alignment Trading Mode Suggestions (Buy / Sell / LEAPS / Neutral) This gives instant context. 📌 6. Auto Intraday Engine (NEW in v9.5) Automatically switches internal logic when you move into intraday timeframes (1m–30m): Intraday Enhancements: Adaptive setup detection Faster momentum sensitivity EMAs tuned for scalp/swing precision Tighter invalidation logic Reduced false positives Optional strict filtering Perfect for scalping, day trading & micro-trends Works instantly — no settings needed. Just change the chart timeframe and MAHI adjusts. 📌 7. Dynamic High-Timeframe Support (W & M) Auto-layers weekly & monthly levels: Helps identify strong bounce zones Extremely useful for swing & LEAPS traders 📌 8. Weekly Volume Shelf Projection Lightweight VWAP-style level based on weekly volume aggregation. Shows probable bottoming areas during pullbacks. ✔ Who This Indicator Is For Perfect for: Day traders Swing traders Momentum riders LEAPS & long-term investors Beginner traders needing a structured system MAHI adapts to your timeframe and trading style. ✔ Why MAHI Works MAHI isn’t a single-signal indicator — it’s a framework. It combines: Trend Momentum Volatility Setup pattern detection Validation & invalidation Multi-timeframe alignment Dynamic zones Intraday optimization This eliminates guesswork and helps traders avoid the emotional traps that cause most losses. You don’t just get a signal — you get context. ✔ How to Use It Follow the ribbon bias Use EMA 9→21 flips as trend confirmation Look for Bull Setup tags during pullbacks Avoid trades when you see Setup Invalidated Respect weekly/monthly HTF support levels On intraday charts — rely on auto-optimized mode For swing entries, combine setups with HTF trend HUD MAHI gives the map. You choose the path. ✔ Final Notes This version is heavily optimized for performance, clarity, and high-probability signals. MAHI does not repaint, and works on all assets including: Stocks Crypto ETFs Forex Futures
Wskaźnik Pine Script®
od mahipalc
Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear) Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style) This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays: ✅ Williams %R (10-period) – Yellow Line This oscillator measures the market's position relative to recent highs and lows. It plots on a 0% to 100% scale, where: 80–100% → Overbought region 20–0% → Oversold region 50% → Momentum equilibrium Williams %R helps identify exhaustion, trend strength, and potential reversal zones. ✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars %B shows where price is trading relative to the Bollinger Bands: Above 50% → Price is in the upper half of the band (bullish pressure) Below 50% → Price is in the lower half (bearish pressure) Near 100% → Price pushing upper band (possible breakout) Near 0% → Price testing lower band (possible breakdown) The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength. 🎯 Why This Combination Works Together, Williams %R and Bollinger %B reveal: Momentum direction Overbought/oversold conditions Volatility compression & expansion Trend continuation vs reversal zones High-probability inflection points Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands. The combination helps identify whether momentum supports the current trend or is weakening. 🔍 Use Cases Detect early trend reversals Validate breakouts and breakdowns Spot momentum failure in price extremes Confirm pullbacks and continuation setups Time entries and exits with higher precision 💡 Best For Swing traders Momentum traders Trend-followers Options traders (for timing premium decay or volatility expansion)
Wskaźnik Pine Script®
od gadielvasquez1988
Triple 9 Bias filter Triple 9 Bias – Precision Multi-Timeframe Directional Filter Technical Overview The Triple 9 Bias is a precision multi-timeframe directional filter built exclusively for 5-minute (and lower) trading. It stacks three EMA-9 trend directions (4H + 1H + 15m) as Primary confluence and uses only the 4H RSI-14 as Secondary confirmation. Integrity Check: Zero repaint · Zero lookahead · Works identically on any chart timeframe. The Trading Rule (Simple) Long Trades: Only trade longs when all three EMA-9s are UP + 4H RSI > 50 Short Trades: Only trade shorts when all three EMA-9s are DOWN + 4H RSI < 50 Otherwise — stand aside. Display Components A. Plotted Higher-Timeframe EMAs (No Repainting) All values are pulled from closed higher-timeframe bars. 4H EMA 9 (Red step-line) 1H EMA 9 (Purple step-line) 15m EMA 9 (Orange step-line) B. Locked Dashboard (Bottom-Right) Clean table split into Primary and Secondary sections for instant bias reading. Colour Logic: 🟢 Lime = UP / BUY 🔴 Red = DOWN / SELL Background Logic: Full Green: Only when all three EMA-9s are UP Full Red: Only when all three EMA-9s are DOWN Gray: Otherwise = no trade Indicator Breakdown 3.1. Primary Confluence – EMA 9 Slope 4H EMA 9 direction (compared 10 bars back) 1H EMA 9 direction (compared 6 bars back) 15m EMA 9 direction (compared 6 bars back) 3.2. Secondary Confluence 4H RSI-14 vs 50 level (BUY if >50, SELL if <50) High-Probability Signal: When Primary = all three “UP” and Secondary = “BUY” → highest-probability bullish bias (and vice-versa for bearish).
Wskaźnik Pine Script®
od djdickenson82
XAUUSD Multi-Timeframe Bias Scanner🎯 Purpose & Overview This is a sophisticated trading indicator that analyzes XAUUSD (Gold) across 5 different timeframes simultaneously to determine market bias and trend direction. ⚙️ Core Components 2. Bias Calculation Engine The heart of the indicator uses 5 technical factors to score each timeframe: Technical Factors (Weighted): Moving Average Alignment (30 points) Bullish: EMA(9) > EMA(21) > EMA(50) Bearish: EMA(9) < EMA(21) < EMA(50) Price vs MA Position (20 points) Score increases when price above MAs Score decreases when price below MAs RSI Momentum (20 points) Bullish: RSI > 60 or > 50 Bearish: RSI < 40 or < 50 MACD Signals (15 points) Bullish: MACD line > Signal line AND > 0 Bearish: MACD line < Signal line AND < 0 Volume Confirmation (15 points) Volume spikes with price movement add confirmation 📊 Timeframe Analysis Five Timeframes Monitored: 5-minute - Short-term noise (10% weight) 15-minute - Intraday direction (15% weight) 1-hour - Key intraday bias (25% weight) 4-hour - Primary directional bias (30% weight) 1-day - Overall trend context (20% weight) Bias Scoring System: 0-100 Scale (50 = Neutral) STRONG BULLISH: ≥70 (Green) BULLISH: 55-69 (Lime) NEUTRAL: 46-54 (Gray) BEARISH: 31-45 (Orange) STRONG BEARISH: ≤30 (Red) 🎨 Visual Features 1. Comprehensive Table Display pinescript var table biasTable = table.new(position.top_right, 3, 7, ...) Shows a color-coded table with: Timeframe name Numerical bias score (0-100) Strength description with color coding 2. Chart Visual Indicators Background coloring based on overall bias Label markers for strong bullish/bearish conditions Real-time label showing all timeframe scores 3. Alert System Triggers when overall bias crosses 70 (bullish) or 30 (bearish) Configurable with sound options 🔄 How It Processes Data Data Flow: Requests security data for each timeframe using request.security() Calculates technical indicators for each TF separately Scores each TF based on 5 technical factors Computes weighted overall bias Updates visual displays and checks alert conditions 💡 Trading Applications Bullish Scenarios: Multiple timeframes show bullish alignment Higher timeframe bias supports lower timeframe direction Overall score > 70 indicates strong bullish conviction Bearish Scenarios: Multiple timeframes show bearish alignment Higher timeframe bias confirms lower timeframe moves Overall score < 30 indicates strong bearish conviction Conflict Detection: When timeframes show conflicting biases Caution required - market may be consolidating Wait for alignment before taking trades 🎚️ Customization Options Users can modify: Timeframe weights Technical indicator parameters Alert thresholds Visual display preferences Scoring sensitivity 📈 XAUUSD Specific Optimizations The indicator considers Gold's unique characteristics: High volatility periods ATR-based volatility adjustments Volume confirmation for breakouts Multiple timeframe confirmation for trend reliability This creates a powerful tool for identifying high-probability trade setups in XAUUSD by ensuring traders have a complete multi-timeframe perspective before entering positions.
Wskaźnik Pine Script®
od iconmanin
Scaling_mastery:Free TrendlinesScaling_mastery Trendlines is a clean, trading-ready smart trendline tool built for the Scaling_mastery community. It automatically finds swing highs/lows and draws dynamic trendlines or channels that stay locked to price, on any symbol and any timeframe. 🔧 Modes Trendline type Wicks – classic trendlines anchored on candle wicks (high/low). Bodies – trendlines anchored on candle bodies (open/close), great for closing structure. Channel – 3-line channel: outer lines form a band around price middle line runs through the centre of the channel thickness is adjustable (Small / Medium / Large). Trend strength Controls how strong the pivots must be to form a line. Weak → more lines, reacts faster. Medium → balanced, good for most pairs. Strong → only the cleanest swings, higher-probability trendlines. 🎨 Visual controls Max support / resistance lines – cap how many lines are kept on chart. Show broken lines – hide broken trendlines or keep them for structure history. Extend lines – None / Right / Both. Support / Resistance colors – separate colors for active vs broken. Channel thickness – Small / Medium / Large (0.5% / 1% / 2% of price). Channel outer lines – color for channel edges. Channel middle line – color + style (dotted / dashed / solid). Broken lines are automatically faded + dotted, so you can instantly see what’s still respected and what’s already been taken out. 🧠 How to use Add the indicator to any chart. Start with: Trendline type: Wicks Trend strength: Strong Max lines: 1–2 for both support & resistance Once you like the behavior, experiment with: Switching between Wicks / Bodies / Channel Adjusting Channel thickness and Trend strength Use the lines as a visual confluence tool with your own strategy: HTF trend direction LTF entries / retests Liquidity grabs around broken lines This script doesn’t generate entries or risk management – it’s designed to give you clean, reliable structure so you can execute your own edge. ⚠️ Disclaimer This tool is for educational and visual purposes only and is not financial advice. Always do your own research and manage risk.
Wskaźnik Pine Script®
od Scaling_mastery
BTC GOD — DEFINITIVE BTC MULTI INDICATORBTC GOD — The Ultimate Bitcoin Cycle Indicator (2025 Edition) The one indicator every serious BTC holder and trader has been waiting for. A single script that perfectly combines the 5 most powerful and accurate Bitcoin indicators ever created — all 100 % official versions: - Official Pi Cycle Top (LookIntoBitcoin) → in 2013, 2017 & 2021 (3/3 hits) - Official MVRV Z-Score (Glassnode / LookIntoBitcoin) → every major bottom (2015, 2018–19, 2022) - Dynamic Bull/Bear background (red bear-market when price drops X % from cycle ATH + monthly RSI filter) - Monthly Golden/Death Cross (50-month EMA vs 200-week EMA) → huge, unmistakable signals - SuperTrend + 200-week EMA + 50-month EMA - Cycle ATH/ATL tracking with flashing alert in the table when new highs/lows are made - Exact days to/from the next halving + optimal accumulation zone (200–750 days post-halving) - Fully customizable inputs for experienced traders Zero repainting. Zero errors. Works on every timeframe. This is the indicator used by people who truly understand Bitcoin’s 4-year cycles. If you could only keep ONE Bitcoin indicator for the rest of your life… this would be it. Save it, test it, and you’ll instantly see why it’s called BTC GOD. Built with love and obsession for Bitcoin cycles. Last update: November 2025
Wskaźnik Pine Script®
od nahumperez86
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price. Main Features 1. ATR% Chart The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example: ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value Higher values = greater volatility (higher profit potential, but also greater risk) Lower values = lower volatility (calmer market) 2. Volatility Trend Analysis The indicator automatically detects whether volatility is rising, falling, or stable: Up arrow (↑) - volatility is rising (price becomes more "nervous") Down arrow (↓) - volatility is falling (market is calming down) Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average) 3. Information Table In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding: - Green = rising volatility - Red = falling volatility - Gray = stable volatility Parameters to Configure Indicator Length (default: 14) - How many candles back to include in calculations: Lower values (5-10): more sensitive to sudden changes, reacts faster Higher values (20-30): more smoothed, shows long-term volatility picture Trend Length (default: 10) - Period to analyze whether volatility is rising/falling: Lower values: faster trend change signals Higher values: more reliable, but slower signals Sample Interpretations ATR% Volatility Asset Type/Situation < 1% Very low Stable blue-chip stocks, calm market 1-3% Low-medium Typical stocks, normal conditions 3-5% Medium-high Volatile stocks, cryptocurrencies at rest 5-10% High Cryptocurrencies, penny stocks > 10% Extremely high Market panic, crash, pump & dump
Wskaźnik Pine Script®
od Jawortrader
Đại Ka 3 ATR BandsĐại Ka 3 ATR Bands – The ultimate single-slot indicator that replaces three separate ATR plots. Designed specifically for ICT/SMC traders in 2025: • Light red band (±0.5 ATR) → fake moves, Judas Swing, Turtle Soup zone • Gray band (±1.0 ATR) → normal price action • Light green band (±2.0 ATR) → real displacement zone → Silver Bullet, SFT, high-probability entries How to use: – Price stuck inside red band → expect reversal/fakeout – Price breaks and closes outside green band + volume spike → enter aggressively in that direction (85%+ win-rate inside Killzones) Default ATR(14), subtle fills for instant visual filtering of real vs fake moves. Perfect companion for Order Blocks, FVG, Breaker Blocks and NY/London Killzones. Free forever – coded with love by Đại Ka & Vietnamese ICT crew.
Wskaźnik Pine Script®
od bra9ont
Static K-means Clustering | InvestorUnknownStatic K-Means Clustering is a machine-learning-driven market regime classifier designed for traders who want a data-driven structure instead of subjective indicators or manually drawn zones. This script performs offline (static) K-means training on your chosen historical window. Using four engineered features: RSI (Momentum) CCI (Price deviation / Mean reversion) CMF (Money flow / Strength) MACD Histogram (Trend acceleration) It groups past market conditions into K distinct clusters (regimes). After training, every new bar is assigned to the nearest cluster via Euclidean distance in 4-dimensional standardized feature space. This allows you to create models like: Regime-based long/short filters Volatility phase detectors Trend vs. chop separation Mean-reversion vs. breakout classification Volume-enhanced money-flow regime shifts Full machine-learning trading systems based solely on regimes Note: This script is not a universal ML strategy out of the box. The user must engineer the feature set to match their trading style and target market. K-means is a tool, not a ready made system, this script provides the framework. Core Idea K-means clustering takes raw, unlabeled market observations and attempts to discover structure by grouping similar bars together. // STEP 1 — DATA POINTS ON A COORDINATE PLANE // We start with raw, unlabeled data scattered in 2D space (x/y). // At this point, nothing is grouped—these are just observations. // K-means will try to discover structure by grouping nearby points. // // y ↑ // | // 12 | • // | • // 10 | • // | • // 8 | • • // | // 6 | • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 2 — RANDOMLY PLACE INITIAL CENTROIDS // The algorithm begins by placing K centroids at random positions. // These centroids act as the temporary “representatives” of clusters. // Their starting positions heavily influence the first assignment step. // // y ↑ // | // 12 | • // | • // 10 | • C2 × // | • // 8 | • • // | // 6 | C1 × • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 3 — ASSIGN POINTS TO NEAREST CENTROID // Each point is compared to all centroids. // Using simple Euclidean distance, each point joins the cluster // of the centroid it is closest to. // This creates a temporary grouping of the data. // // (Coloring concept shown using labels) // // - Points closer to C1 → Cluster 1 // - Points closer to C2 → Cluster 2 // // y ↑ // | // 12 | 2 // | 1 // 10 | 1 C2 × // | 2 // 8 | 1 2 // | // 6 | C1 × 2 // | // 4 | 1 // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // (1 = assigned to Cluster 1, 2 = assigned to Cluster 2) // At this stage, clusters are formed purely by distance. Your chosen historical window becomes the static training dataset , and after fitting, the centroids never change again. This makes the model: Predictable Repeatable Consistent across backtests Fast for live use (no recalculation of centroids every bar) Static Training Window You select a period with: Training Start Training End Only bars inside this range are used to fit the K-means model. This window defines: the market regime examples the statistical distributions (means/std) for each feature how the centroids will be positioned post-trainin Bars before training = fully transparent Training bars = gray Post-training bars = full colored regimes Feature Engineering (4D Input Vector) Every bar during training becomes a 4-dimensional point: This combination balances: momentum, volatility, mean-reversion, trend acceleration giving the algorithm a richer "market fingerprint" per bar. Standardization To prevent any feature from dominating due to scale differences (e.g., CMF near zero vs CCI ±200), all features are standardized: standardize(value, mean, std) => (value - mean) / std Centroid Initialization Centroids start at diverse coordinates using various curves: linear sinusoidal sign-preserving quadratic tanh compression init_centroids() => // Spread centroids across using different shapes per feature for c = 0 to k_clusters - 1 frac = k_clusters == 1 ? 0.0 : c / (k_clusters - 1.0) // 0 → 1 v = frac * 2 - 1 // -1 → +1 array.set(cent_rsi, c, v) // linear array.set(cent_cci, c, math.sin(v)) // sinusoidal array.set(cent_cmf, c, v * v * (v < 0 ? -1 : 1)) // quadratic sign-preserving array.set(cent_mac, c, tanh(v)) // compressed This makes initial cluster spread “random” even though true randomness is hardly achieved in pinescript. K-Means Iterative Refinement The algorithm repeats these steps: (A) Assignment Step, Each bar is assigned to the nearest centroid via Euclidean distance in 4D: distance = sqrt(dx² + dy² + dz² + dw²) (B) Update Step, Centroids update to the mean of points assigned to them. This repeats iterations times (configurable). LIVE REGIME CLASSIFICATION After training, each new bar is: Standardized using the training mean/std Compared to all centroids Assigned to the nearest cluster Bar color updates based on cluster No re-training occurs. This ensures: No lookahead bias Clean historical testing Stable regimes over time CLUSTER BEHAVIOR & TRADING LOGIC Clusters (0, 1, 2, 3…) hold no inherent meaning. The user defines what each cluster does. Example of custom actions: Cluster 0 → Cash Cluster 1 → Long Cluster 2 → Short Cluster 3+ → Cash (noise regime) This flexibility means: One trader might have cluster 0 as consolidation. Another might repurpose it as a breakout-loading zone. A third might ignore 3 clusters entirely. Example on ETHUSD Important Note: Any change of parameters or chart timeframe or ticker can cause the “order” of clusters to change The script does NOT assume any cluster equals any actionable bias, user decides. PERFORMANCE METRICS & ROC TABLE The indicator computes average 1-bar ROC for each cluster in: Training set Test (live) set This helps measure: Cluster profitability consistency Regime forward predictability Whether a regime is noise, trend, or reversion-biased EQUITY SIMULATION & FEES Designed for close-to-close realistic backtesting. Position = cluster of previous bar Fees applied only on regime switches. Meaning: Staying long → no fee Switching long→short → fee applied Switching any→cash → fee applied Fee input is percentage, but script already converts internally. Disclaimers ⚠️ This indicator uses machine-learning but does not predict the future. It classifies similarity to past regimes, nothing more. ⚠️ Backtest results are not indicative of future performance. ⚠️ Clusters have no inherent “bullish” or “bearish” meaning. You must interpret them based on your testing and your own feature engineering.
Wskaźnik Pine Script®
od InvestorUnknown
Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2)What this indicator does Name: Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2) This is not an entry signal indicator. It’s a market condition filter: It checks how compressed or expanded price is on 1H, 30M, and 15M. It labels each TF as CHOP or NORMAL. If 2 or more of those are in CHOP, it prints NO TRADE. If 0 or 1 are in CHOP, it prints TRADE. You use it to answer one question: “Is this a session I should be pushing the button, or is this a day to sit on my hands?” How it works (simple version) For each timeframe (1H, 30M, 15M), the script: Looks back N bars (ATR length). Measures: ATR over N bars Price range over N bars (highest high − lowest low) Computes a compression value: compression = ATR / range. Then it compares that to the Threshold: If compression > threshold → CHOP (market boxed / compressed) If compression ≤ threshold → NORMAL (market expanded / trending) Finally: It counts how many TFs are CHOP. If 2 or 3 TFs are CHOP → NO TRADE. If 0 or 1 TFs are CHOP → TRADE. Inputs / Profiles At the top you see: Profile Overnight 4/0.40 – for Asia / London / overnight sessions NYO 5/0.45 – for New York Open profile (default) Custom – lets you type your own values When Custom is selected, you can set: ATR Length (Custom) – how many bars to use in the compression calc Chop Threshold (ATR ÷ Range) (Custom) – where you cut between CHOP vs NORMAL Higher threshold → more bars counted as NORMAL, less CHOP Lower threshold → more bars counted as CHOP, fewer TRADE environments For NYO, you normally keep: Profile = NYO 5/0.45 (ATR over 5 bars, threshold 0.45) What you see on the chart A single line panel at the bottom-right, like: 1H: NORMAL | 30M: CHOP | 15M: NORMAL | TRADE | NYO 5/0.45 Meaning: 1H: NORMAL → the last 1H window is expanded enough (not boxed). 30M: CHOP → 30M is compressed (inside a tighter range). 15M: NORMAL → 15M has opened up. TRADE → Only 1 TF is CHOP, so the majority says OK to trade. NYO 5/0.45 → just a tag to remind which profile you’re using. If instead you see: 1H: CHOP | 30M: CHOP | 15M: NORMAL | NO TRADE | NYO 5/0.45 That means: 1H and 30M are boxed 15M opened a bit, but 2 TFs are CHOP Final verdict: NO TRADE environment How to use it in your trading 1. As a gatekeeper before any entry model No matter what entry you use (MSS + FVG, OB, purge setups, etc.): If the panel says NO TRADE → You do not open new positions. You’re in “observe only” mode. You can still study price, mark levels, and journal, but you’re not pressing the button. If the panel says TRADE → The environment is acceptable. Now you can look for your entry model (e.g. MSS + FVG retest, SMT, OB, etc.). Think of it as your first filter every session: “Panel says NO TRADE? I don’t care how good the candle looks – I’m waiting.” 2. Reading each timeframe 1H: CHOP → Day is still boxed on the higher frame; big expansion hasn’t kicked in. 30M: CHOP → Classic 30M dealing range; many fake breaks and wicks likely. 15M: CHOP → Intraday still coiling; scalping environment at best. When 2 or 3 say CHOP, expect: Whipsaw MSS both ways Failed FVGs News spikes that die in the box Perfect time to protect your psychology and capital. When 2 or 3 say NORMAL, expect: Cleaner swings Better follow-through after MSS / FVG Easier to hold for targets 3. How it pairs with your MSS/FVG indicator With your Chop + MSS/FVG Retest indicator: Chop meter = environment filter MSS/FVG indicator = entry trigger Your process becomes: Check chop meter: If NO TRADE → hands off. If TRADE → go to step 2. On your chart, wait for: Purge / SMT at the edges MSS in the right direction FVG + retest Only take L/S when both: Chop meter = TRADE, and Entry model = L/S signal in the right area (premium/discount). That way, you’re not just trading every L/S the MSS script spits out—you’re trading L/S only when the higher-timeframe environment is worth it.
Wskaźnik Pine Script®
od TIMEANDPRICEPR
Multi Time Frame EMA & MA IndicatorThis indicator automatically applies prime-number EMAs and MAs based on the current chart timeframe, using faster cool-tone EMAs and slower warm-tone MAs to clearly distinguish momentum vs trend. It adapts dynamically for 1m, 5m, 15m, 1H, 4H, and 1D charts, and uses a visual hierarchy where thinner lines represent faster averages and thicker lines represent slower ones, ensuring clarity in both light and dark themes. An on-chart label displays which EMA and MA lengths are active for the selected timeframe.
Wskaźnik Pine Script®
od ajaychobey7
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price. What this is This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious. Instead of static rectangles that live forever, you get a living liquidity map where: Zones are born from objective criteria: volatility, wick size, and optional volume spikes. Zones “age” using a configurable decay factor and maximum lifetime. Zone color and opacity reflect current relative strength on a unified clear → green → red gradient. Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”. Conceptual idea Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas. Time-Decay Liquidity Zones turns that idea into a rule-based system: Find bars that likely reflect strong aggressive flows into liquidity. Mark a zone around the wick using ATR-based thickness. Assign a strength score of 1.0 at birth. Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long. Color all surviving zones from weak to strong using a single gradient scale and a visual legend. How events are detected Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules. Volatility filter ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline. Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones. Wick filters For each bar, the script splits the candle into body and wicks: Upper wick = High minus the max(Open, Close). Lower wick = min(Open, Close) minus Low. Then it tests: Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR. Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR. Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”. Volume filter Optionally, the script requires a volume spike: Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier. Volume SMA length — period for the volume average. Volume spike multiplier — how many times above the SMA current volume needs to be. This lets you focus only on “heavy” tests of liquidity and ignore quiet bars. Event types Putting it together: Upper event (potential supply / long liquidation, etc.) Occurs when: Upper wick is large in ATR terms. Full bar range is large in ATR terms. Volume is above the spike threshold (if enabled). Lower event (potential demand / short liquidation, etc.) Symmetric conditions using the lower wick. How zones are constructed Zone geometry lives in Zone Geometry . When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness. For upper (supply-type) zones Bottom of the zone = event bar high. Top of the zone = event bar high + Zone thickness in ATRs × ATR. The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active. For lower (demand-type) zones Top of the zone = event bar low. Bottom of the zone = event bar low − Zone thickness in ATRs × ATR. Same extension logic: box starts on the event bar and grows rightward while alive. The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise. Zone lifecycle, decay, and removal All lifecycle logic is controlled by the Decay & Lifetime group. Each zone carries: Score — a floating-point “importance” measure, starting at 1.0 when created. Direction — +1 for upper zones, −1 for lower zones. Birth index — bar index at creation time. Active flag — whether the zone is still considered unbroken and extendable. 1) Active vs broken Each confirmed bar, the script checks: For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone. For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone. When a zone breaks: Its right edge is frozen at the previous bar (no further extension). The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal. This lets you see where a major level was overrun, while naturally fading its influence over time. 2) Time decay At each confirmed bar: Score := Score × Score decay per bar . A decay value close to 1.0 means very slow decay and long-lived zones. Lower values (closer to 0.9) mean faster forgetting and more current-focused zones. You are controlling how quickly the market “forgets” past events. 3) Age and score-based removal Zones are removed when either: Age in bars exceeds Max bars a zone can live . This is a hard lifetime cap. Score falls below Minimum score before removal . This trims zones that have decayed into irrelevance even if their age is still within bounds. When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean. Unified gradient and color logic Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what. Base colors You set: Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient. High strength color (red) — used for the strongest zones. Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent. The script then defines three internal points: Clear end — same as mid color, but with a high alpha (close to transparent). Mid end — mid color at the strongest allowed opacity. High end — high color at the strongest allowed opacity. Strength normalization Within each update: The script finds the maximum score among all existing zones. Each zone’s strength is computed as its score divided by this maximum. Strength is clamped into . This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that. Piecewise gradient Color is assigned in two stages: For strength between 0.0 and 0.5: interpolate from “clear” green to solid green. Weak zones are barely visible, mid-strength zones appear as solid green. For strength between 0.5 and 1.0: interpolate from solid green to solid red. The strongest zones shift toward the red anchor, clearly separating them from everything else. Strength scale legend To make the gradient readable, the indicator draws a vertical legend on the right side of the chart: About 15 cells from top (Strong) to bottom (Weak). Each cell uses the same gradient function as the zones themselves. Top cell is labeled “Strong”; bottom cell is labeled “Weak”. This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank. What it plots At a glance, the indicator produces: Upper liquidity zones above price, built from large upper wick events. Lower liquidity zones below price, built from large lower wick events. All zones colored by relative strength using the same gradient. Zones that freeze when price breaks them, then fade out via decay and removal. A strength scale legend on the right to interpret the gradient. There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength. How to read the zones Bright red / bright green zones These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them. Faded zones Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise. Broken but still visible zones Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts. Absence of zones A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced. Use cases 1) Intraday liquidity hunting Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay. Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas. Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone. 2) Swing trading context Increase ATR length and range/wick multipliers to focus only on major spikes. Set slower decay and higher max lifetime so zones persist across multiple sessions. Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts. 3) Stop placement and invalidation For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise. For shorts, place invalidation beyond strong upper zones. If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong. 4) Identifying trapped flows Upper zones formed after violent spikes up that quickly fail can mark trapped longs. Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts. Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed. Settings overview Event Detection Use volume filter — enable or disable the volume spike requirement. Volume SMA length — rolling window for average volume. Volume spike multiplier — how aggressive the volume spike filter is. ATR length — period for ATR, used in all size comparisons. Min wick size in ATRs — minimum wick size threshold. Min range in ATRs — minimum bar range threshold. Zone Geometry Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR. Decay & Lifetime Score decay per bar — multiplicative decay factor for each zone score per bar. Max bars a zone can live — hard cap on lifetime. Minimum score before removal — score cut-off at which zones are deleted. Gradient & Color Mid strength color (green) — base color for mid-level zones and the lower half of the gradient. High strength color (red) — target color for the strongest zones. Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible). Tuning guidance Fast, session-only liquidity Shorter ATR length (e.g., 20–50). Higher wick and range multipliers to focus only on extreme events. Decay per bar closer to 0.95–0.98 and moderate max lifetime. Volume filter enabled with a decent multiplier (e.g., 1.5–2.0). Slow, structural zones Longer ATR length (e.g., 100+). Moderate wick and range thresholds. Decay per bar very close to 1.0 for slow fading. Higher max lifetime and slightly higher min score threshold so only very weak zones disappear. Noisy, high-volatility instruments Increase wick and range ATR multipliers to avoid over-triggering. Consider enabling the volume filter with stronger settings. Keep decay moderate to avoid the chart getting overloaded with old zones. Notes This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to: Highlight where liquidity has recently been tested hard. Rank these areas by decaying strength. Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context. Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
Wskaźnik Pine Script®
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