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Universal Heatmap - QuantSyUniversal Heatmap - QuantSy A sophisticated market valuation tool that synthesizes multiple on-chain and technical metrics into a single, intuitive heat-mapped visualization. Provides probabilistic assessment of market extremes through dynamic gradient coloring. What it does: Analyzes various dimensions of market behavior including value metrics, profit/loss ratios, momentum signals, and risk-adjusted performance. Converts complex data into a simple visual spectrum where blue indicates undervalued conditions and red signals overvalued territory. Best for: Identifying potential reversal zones Gauging relative market positioning Risk management and allocation decisions Multi-timeframe valuation analysis The percentile-based color scaling adapts to each asset's unique history, making it applicable across different markets and timeframes. Get an at-a-glance read on where current conditions stand relative to historical norms. **⚠️ Disclaimer** Educational tool only - does not constitute investment advice. The developer assumes no liability for any trading profits or losses incurred through the use/misuse of this indicator. This indicator does not include any features related to interest, leverage, or gambling. Users are fully responsible for making sure their assets and trading practices align with Islamic guidelines.
مؤشر Pine Script®
من ‎QuantSy‎
PST Super Simple System v2.5+PinkSlips Trading was built to give traders real structure, real tools, and real support — without the confusion or false promises you find everywhere else. Everything we provide is focused on helping you trade with clarity and confidence. Professional-Grade Indicators We develop custom TradingView indicators designed to simplify your decision-making. Clean, reliable, and built to support consistent trading. Daily Live Trading Sessions Members can watch the market with us in real time. We walk through bias, key levels, trade execution, and risk management so you can learn the process step-by-step. Personal Guidance and Trade Planning Whether you need help building a strategy, fixing your discipline, or understanding your data, we offer direct support and tailored plans to help you improve faster. A Focused, Results-Driven Community PinkSlips Trading is built for traders who want to get better — not for hype. You’ll be surrounded by people who take trading seriously and are committed to long-term growth.
مؤشر Pine Script®
من ‎Shoebug‎
PinkSlips Sauce IndicatorChecklist v4PinkSlips’ personal checklist assistant for catching clean trend moves. It stacks EMAs (20/50/200), checks RSI strength, filters chop with ATR, then prints a simple YES/NO checklist so you know when the sauce is actually there. What it does EMA trend filter (bullish / bearish structure) RSI confirmation for high-probability longs & shorts ATR chop filter so you avoid dead zones On-chart checklist box: trend up/down, ATR OK, long/short ready, last signal Optional LONG/SHORT labels on the candles for execution Use this as your pre–entry checklist so you stop forcing trades and only take the clean PinkSlips setups.
مؤشر Pine Script®
من ‎Shoebug‎
Multi-TimeCycle SMT Live DetectorThis indicator is a multi-asset, multi-timeframe SMT Live detector designed to work on any symbol (indices, futures, FX, crypto, stocks). It compares your chart symbol against up to two custom comparison symbols and automatically detects bullish and bearish SMT divergences across: 90-minute session blocks (Asia, London, NY – with internal 90m sessions) 60-minute (hourly) cycles 30-minute cycles 10-minute cycles 3-minute cycles Each SMT is plotted as a line between the reference high/low and the current high/low, with a clear text label showing: Timecycle (90m / 60m / 30m / 10m / 3m) Which comparison asset(s) created the divergence (e.g., ES, YM, ES/YM or your custom labels) The 90-minute SMT module is session-aware using New York time: Asia: 18:00 – 02:29 NY time London A/M/D NY AM A/M/D NY PM A/M/D
مؤشر Pine Script®
من ‎The-Gutta‎
Multi-TimeCycles SMT Live DetectorThis indicator is a multi-asset, multi-timeframe SMT Live detector designed to work on any symbol (indices, futures, FX, crypto, stocks). It compares your chart symbol against up to two custom comparison symbols and automatically detects bullish and bearish SMT divergences across: 90-minute session blocks (Asia, London, NY – with internal 90m sessions) 60-minute (hourly) cycles 30-minute cycles 10-minute cycles 3-minute cycles Each SMT is plotted as a line between the reference high/low and the current high/low, with a clear text label showing: Timecycle (90m / 60m / 30m / 10m / 3m) Which comparison asset(s) created the divergence (e.g., ES, YM, ES/YM or your custom labels) The 90-minute SMT module is session-aware using New York time: Asia: 18:00 – 02:29 NY time London A/M/D NY AM A/M/D NY PM A/M/D
مؤشر Pine Script®
من ‎The-Gutta‎
Weekly Open + Monday High/Low (After Monday Close)b]Description This indicator marks key weekly reference levels based on Monday’s price behavior. It automatically detects each trading week and tracks: • Weekly Open – the first traded price of the new week • Monday High – the highest price reached on Monday • Monday Low – the lowest price reached on Monday Logic The Monday range is fully captured only after Monday has closed . No levels are plotted during Monday. Starting from Tuesday, the indicator displays thin dots showing the completed Monday High, Monday Low, and Weekly Open for the remainder of the week. When a new week begins, the indicator resets automatically and begins tracking the new week’s Monday. Customization The user can choose colors for: • Monday High/Low • Weekly Open Purpose This indicator helps traders visualize weekly structure, monitor weekly opening levels, and quickly identify Monday’s range for weekly bias analysis or strategy development. It can also be used to manually backtest Monday range strategies .
مؤشر Pine Script®
من ‎Random_TraderDude‎
[GYTS-Pro] Market Regime Detector🧊 Market Regime Detector (Professional Edition) 🌸 Part of GoemonYae Trading System (GYTS) 🌸 🌸 --------- INTRODUCTION --------- 🌸 💮 What is the Market Regime Detector? The Market Regime Detector (Pro) is an elite, consensus-based market state analyzer designed to filter noise and identify the true underlying market structure. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions with high precision, this detector acts as the "brain" of your trading system. Instead of forcing a single strategy across incompatible market conditions, the detector empowers you to deploy the right tactic at exactly the right time. 💮 The Importance of Market Regimes Markets constantly shift between different behavioural states or "regimes": • Bullish trending markets - characterised by sustained upward price movement • Bearish trending markets - characterised by sustained downward price movement • Cyclic markets - characterised by range-bound, oscillating behaviour Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. However, detecting these regimes is easier said than done, and we have gone through hundreds of hours of testing to create the Market Regime Detector, using multiple very sophisticated methods in an easy-to-use indicator. 💮 Professional vs Community Edition The Market Regime Detector comes in two versions: a comprehensive Professional Edition and a streamlined Community Edition. Key advantages of the Professional Edition: • Enhanced detection accuracy - Utilises 5 advanced detection methods (compared to only 2 in the CE version) • Proprietary cycle measurement - Automatically detects the market's dominant cycle instead of requiring manual input • Superior consensus mechanism - Includes a unique "strength-weighted decision" mode that gives more influence to stronger signals • Reduced false signals - Multiple complementary methods working together provide more reliable regime identification • Advanced DSP algorithms - Implements sophisticated digital signal processing techniques for superior market analysis The Professional Edition delivers significant improvements in detection accuracy, signal stability, and overall trading performance. 🌸 --------- KEY FEATURES --------- 🌸 💮 Consensus-Based Detection Rather than relying on a single method, our detector employs multiple complementary detection methodologies that analyse different aspects of market behaviour: • Advanced digital signal processing techniques • Volatility and momentum analysis • Adaptive filters and mathematical transformations • Cycle identification • Channel breakout detection These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes. 💮 Proprietary Dominant Cycle Measurement ( Pro Edition only ) At the heart of our Professional Edition detector is a proprietary dominant cycle measurement system that automatically and adaptively identifies the market's natural rhythm. This system provides a stable reference framework that continuously adapts to changing market conditions while avoiding the erratic behaviour of typical cycle-finding algorithms like Hilbert Transforms, Discrete Fourier Transforms, or autocorrelation measurements. Unlike the Community Edition which requires manual input of a single, constant dominant cycle period, the Professional Edition automatically detects and continuously adapts this critical parameter. This automated and adaptive approach ensures optimal detection accuracy across different markets and timeframes without requiring user expertise in cycle analysis, and provides significantly better responsiveness to evolving market conditions. 💮 Intuitive Parameter System We've distilled complex technical parameters into intuitive controls that traders can easily understand: • Adaptability - how quickly the detector responds to changing market conditions • Sensitivity - how readily the detector identifies transitions between regimes • Consensus requirement - how much agreement is needed among detection methods This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms. 💮 Visual Market Feedback The detector provides clear visual feedback about the current market regime through: • Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic) • Colour-coded price bars • Strength indicators showing the degree of consensus • Customisable color schemes to match your preferences or trading system 💮 Integration in the GYTS suite What is of paramount importance, is that the Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the Order Orchestrator where you can set how to trade the trending and cyclic regime. The intention is to integrate it with more indicators. 🌸 --------- CONFIGURATION SETTINGS --------- 🌸 💮 Adaptability Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter: • Very Low: Very slow adaptation, most stable but may miss regime changes • Low: Slower adaptation, more stability but less responsiveness • Normal: Balanced between stability and responsiveness • High: Faster adaptation, more responsive but less stable • Very High: Very fast adaptation, highly responsive but may generate false signals This setting affects lookback periods and filter parameters across all detection methods. 💮 Sensitivity Controls the conviction threshold required to trigger a regime change. This acts as a high-frequency, short-term filter for market noise: • Very Low: Requires overwhelming evidence to identify a regime change. • Low: Prioritizes stability; reduces false signals but may delay transition detection. • Normal: Balanced sensitivity suitable for most liquid markets. • High: Highly responsive; detects subtle regime changes early but may react to market noise. • Very High: Extremely sensitive; detects minor fluctuations immediately. Pro Feature Note: In the Strength-Weighted Decision mode, this setting acts as a dynamic calibrator. It not only adjusts individual method thresholds but also scales the global consensus threshold . A 'High' sensitivity lowers the barrier for the weighted consensus, allowing the system to react to early-stage breakouts even if not all methods fully agree yet. 💮 Consensus Mode Determines how the signals from all detection methods are combined to produce the final market regime: • Any Method (OR) : Signals bullish/bearish if any method detects that regime. If methods conflict, the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals. • All Methods (AND) : Signals only when all methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes. • Weighted Decision : Balances all methods with equal voting rights. Signals bullish/bearish when the weighted consensus reaches a fixed majority (0.5). Provides a middle ground between sensitivity and stability. • Strength-Weighted Decision ( Pro Edition only ): A "meritocratic" approach where methods reporting extreme confidence (high signal strength) are given proportionally more weight than those reporting weak signals. Unlike standard voting, a single clear signal from a highly reliable method can override indecision from others. Note: The threshold for this decision is dynamically calibrated by your 'Sensitivity' setting, ensuring the logic adapts to your desired risk profile. Each mode also calculates a continuous regime strength value that drives the color intensity in the 'unconstrained' display mode, giving you a visual heatmap of trend conviction. 💮 Display Mode Choose how to display the market regime colours: • Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the color indicates the strength of the trend. • Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type. The background and bar colours will change to indicate the current market regime: • Purple shades : Bullish trending market. In 'unconstrained' mode, darker purple indicates a stronger bullish trend. • Pink shades : Bearish trending market. In 'unconstrained' mode, darker pink indicates a stronger bearish trend. • Yellow : Cyclic (range-bound) market. 💮 Custom Color Options The Market Regime Detector allows you to customize the color scheme to match your personal preferences or to coordinate with other indicators: • Use custom colours: Toggle to enable your own color choices instead of the default scheme • Transparency: Adjust the transparency level of all regime colours • Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends • Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends • Cyclic color: Define a custom color for cyclic (range-bound) market conditions 🌸 --------- DETECTION METHODS --------- 🌸 💮 Five-Method Consensus Architecture The Professional Edition employs a sophisticated multi-stage architecture to determine market regimes with high precision. The detection process flows through four logical stages: 1. Market Data & Cycle Detection Price data flows into the system where the Dominant Cycle Detector automatically identifies the market's natural rhythm. This adaptive cycle length calibrates all subsequent calculations, ensuring the detector remains in sync with changing market conditions without manual adjustments. 2. Five Detection Methods Using the detected cycle, five complementary algorithms independently evaluate the market state: • Cyclic Centroid Analysis : Calculates the market's 'centre point' over its dominant cycle and measures price displacement to determine trend or equilibrium. • Spectral Momentum : Measures momentum across the market's frequency spectrum to identify trend concentration. • Energy Distribution Gauge : Gauges how price movement energy is distributed to flag cyclic or trending states. • Volatility Channel : Models the market's volatility state, using band breakouts to indicate a trend. • Phase Coherence Detector : Analyses phase relationships between adaptive low-pass filters to detect trend stability and identify early regime shifts. 3. Consensus Engine The signals from all five methods are fed into the Consensus Engine. Depending on your configuration, it aggregates these votes using one of four logic modes (Any, All, Weighted, or Strength-Weighted) to filter out noise and confirm the true market regime. 4. Regime Output The final result is broadcast as a clear market state: • Bullish (1) : Trending upwards • Bearish (-1) : Trending downwards • Cyclic (0) : Range-bound or oscillating This output drives the visual feedback on your chart and can be streamed directly to the Order Orchestrator for automated strategy switching. 💮 Synergy & Complementarity What makes these methods powerful is not just their individual sophistication, but how they complement one another: • Some excel at early detection while others provide confirmation • Some analyse time-domain behaviour while others work in the frequency domain • Some focus on momentum characteristics while others assess volatility patterns • Some respond quickly to changes while others filter out market noise This creates a comprehensive analytical framework that can detect regime changes more accurately than any single method. All methods utilize the automatically detected and continuously adaptive dominant cycle period, ensuring they remain precisely calibrated to current market conditions without manual intervention. 🌸 --------- USAGE GUIDE --------- 🌸 💮 Starting with Default Settings The default settings (Normal for Adaptability, Sensitivity, and Consensus) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments. 💮 Adjusting Parameters • If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement • If regime changes seem delayed → Increase Adaptability • If a trending regime is not detected, the market is automatically assigned to be in a cyclic state. The majority of methods actually measure this explicitly. • If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators) 💮 Trading Applications Regime-Specific Strategies: • Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasise buying dips • Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes • Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes Strategy Switching: Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions. The Pro Edition's multiple detection methods and advanced consensus mechanisms provide more reliable regime transitions, leading to better strategy switching decisions. GYTS Suite Integration: • In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source • Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream • Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this. • The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime. 🌸 --------- FINAL NOTES --------- 🌸 💮 Development Philosophy The Market Regime Detector has been developed with several key principles in mind: 1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance. 2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention. 3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method. 4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls. 💮 Ongoing Refinement The Market Regime Detector is under continuous development. We regularly: • Fine-tune parameters based on expanded market data using state-of-the-art Machine Learning techniques • Research and integrate new detection methodologies • Optimise computational efficiency for real-time analysis Your feedback and suggestions are very important in this ongoing refinement process!
مؤشر Pine Script®
من ‎GoemonYae‎
NQ × ES SMT Panel — Ace v3.5NQ × ES SMT Panel — Ace v3.5 (6-Year Model) This panel reads the 10:45 → 11:00 ET window on NQ and checks for sweeps of the 10:45 candle with SMT confirmation from ES. It then shows you direction, quality of the signal, and 6-year follow-through stats. 🕒 Recommended Use Chart: NQ / MNQ Timeframe: 15-minute Session: New York (focus on 10:45 and 11:00 ET) ES symbol input: default ES1! (can be changed in settings) The script only “makes decisions” on the 11:00 candle close. 🔍 What the Model Looks For 1. NQ Sweep of 10:45 Candle Bull Sweep (Long bias) 11:00 low < 10:45 low 11:00 close > 10:45 low Bear Sweep (Short bias) 11:00 high > 10:45 high 11:00 close < 10:45 high This means: price took liquidity beyond 10:45, then closed back inside. 2. ES SMT Filter (Confirmation) Bullish SMT NQ does a bull sweep (takes the low) ES does NOT make a lower low vs its own 10:45 low Bearish SMT NQ does a bear sweep (takes the high) ES does NOT make a higher high vs its own 10:45 high If NQ sweeps but ES doesn’t follow, you have SMT and a stronger signal. 📋 Panel Fields (What You See) The panel is 4 rows, 1 column: Header NQ × ES SMT — Ace v3.5 | | Score: Status can be: BULLISH SMT BEARISH SMT Bull Sweep Bear Sweep No Signal Sweep Direction Sweep Direction: LONG ↑ Sweep Direction: SHORT ↓ - when no signal Follow-Through Text For SMT: Bullish → High Odds 60-100 Handle Move Bearish → High Odds 40-80 Handle Move For pure sweeps: Normal Follow-through For no signal: blank 6-Year Stats Line Shows how often the move reached 40/60/80 handles in the modeled direction: Example (Bullish SMT): SMT Stats (6y): 40h=64%, 60h=51%, 80h=41% Example (Bearish SMT): SMT Stats (6y): 40h=58%, 60h=42%, 80h=29% Sweeps without SMT show Sweep Stats (6y): … No signal: Stats: n/a ⭐ Score Meaning 5★ → SMT present (A+ setup) 3★ → Clean sweep, no SMT (B setup) 0★ → No valid sweep (NO-GO) Use the score + stats line to decide if the idea deserves risk today. 📈 How to Trade It (Conceptual) Wait for 11:00 candle to close. Check panel: If BULLISH SMT, 5★ → bias long. If BEARISH SMT, 5★ → bias short. If Bull/Bear Sweep, 3★ → optional, lower priority. If No Signal, 0★ → stand aside. Use your own execution model for entries: Look for FVG/OB setups in the direction the panel confirms. Targets can be based on your handle objectives (e.g., 40–80 handles) and intraday structure. ⚠️ Important Notes Panel is a bias and stats tool, not an auto-entry system. Works best on regular trading days (avoid major news spikes if you choose). All stats are based on a 6-year historical lookback on NQ vs ES in this exact 10:45→11:00 structure.
مؤشر Pine Script®
من ‎TIMEANDPRICEPR‎
BAY_PIVOT S/R(4 Full Lines + ALL Labels)//@version=5 indicator("BAY_PIVOT S/R(4 Full Lines + ALL Labels)", overlay=true, max_labels_count=500, max_lines_count=500) // ────────────────────── TOGGLES ────────────────────── showPivot = input.bool(true, "Show Pivot (Full Line + Label)") showTarget = input.bool(true, "Show Target (Full Line + Label)") showLast = input.bool(true, "Show Last Close (Full Line + Label)") showPrevClose = input.bool(true, "Show Previous Close (Full Line + Label)") useBarchartLast = input.bool(true, "Use Barchart 'Last' (Settlement Price)") showR1R2R3 = input.bool(true, "Show R1 • R2 • R3") showS1S2S3 = input.bool(true, "Show S1 • S2 • S3") showStdDev = input.bool(true, "Show ±1σ ±2σ ±3σ") showFib4W = input.bool(true, "Show 4-Week Fibs") showFib13W = input.bool(true, "Show 13-Week Fibs") showMonthHL = input.bool(true, "Show 1M High / Low") showEntry1 = input.bool(false, "Show Manual Entry 1") showEntry2 = input.bool(false, "Show Manual Entry 2") entry1 = input.float(0.0, "Manual Entry 1", step=0.25) entry2 = input.float(0.0, "Manual Entry 2", step=0.25) stdLen = input.int(20, "StdDev Length", minval=1) fib4wBars = input.int(20, "4W Fib Lookback") fib13wBars = input.int(65, "13W Fib Lookback") // ────────────────────── DAILY CALCULATIONS ────────────────────── high_y = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on) low_y = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on) close_y = request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_on) pivot = (high_y + low_y + close_y) / 3 r1 = pivot + 0.382 * (high_y - low_y) r2 = pivot + 0.618 * (high_y - low_y) r3 = pivot + (high_y - low_y) s1 = pivot - 0.382 * (high_y - low_y) s2 = pivot - 0.618 * (high_y - low_y) s3 = pivot - (high_y - low_y) prevClose = close_y last = useBarchartLast ? request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_off) : close target = pivot + (pivot - prevClose) // StdDev + Fibs + Monthly (unchanged) basis = ta.sma(close, stdLen) dev = ta.stdev(close, stdLen) stdRes1 = basis + dev stdRes2 = basis + dev*2 stdRes3 = basis + dev*3 stdSup1 = basis - dev stdSup2 = basis - dev*2 stdSup3 = basis - dev*3 high4w = ta.highest(high, fib4wBars) low4w = ta.lowest(low, fib4wBars) fib382_4w = high4w - (high4w - low4w) * 0.382 fib50_4w = high4w - (high4w - low4w) * 0.500 high13w = ta.highest(high, fib13wBars) low13w = ta.lowest(low, fib13wBars) fib382_13w_high = high13w - (high13w - low13w) * 0.382 fib50_13w = high13w - (high13w - low13w) * 0.500 fib382_13w_low = low13w + (high13w - low13w) * 0.382 monthHigh = ta.highest(high, 30) monthLow = ta.lowest(low, 30) // ────────────────────── COLORS ────────────────────── colRed = color.rgb(255,0,0) colLime = color.rgb(0,255,0) colYellow = color.rgb(255,255,0) colOrange = color.rgb(255,165,0) colWhite = color.rgb(255,255,255) colGray = color.rgb(128,128,128) colMagenta = color.rgb(255,0,255) colPink = color.rgb(233,30,99) colCyan = color.rgb(0,188,212) colBlue = color.rgb(0,122,255) colPurple = color.rgb(128,0,128) colRed50 = color.new(colRed,50) colGreen50 = color.new(colLime,50) // ────────────────────── 4 KEY FULL LINES ────────────────────── plot(showPivot ? pivot : na, title="PIVOT", color=colYellow, linewidth=3, style=plot.style_linebr) plot(showTarget ? target : na, title="TARGET", color=colOrange, linewidth=2, style=plot.style_linebr) plot(showLast ? last : na, title="LAST", color=colWhite, linewidth=2, style=plot.style_linebr) plot(showPrevClose ? prevClose : na, title="PREV CLOSE",color=colGray, linewidth=1, style=plot.style_linebr) // ────────────────────── LABELS FOR ALL 4 KEY LEVELS (SAME STYLE AS OTHERS) ────────────────────── f_label(price, txt, bgColor, txtColor) => if barstate.islast and not na(price) label.new(bar_index, price, txt, style=label.style_label_left, color=bgColor, textcolor=txtColor, size=size.small) if barstate.islast showPivot ? f_label(pivot, "PIVOT " + str.tostring(pivot, "#.##"), colYellow, color.black) : na showTarget ? f_label(target, "TARGET " + str.tostring(target, "#.##"), colOrange, color.white) : na showLast ? f_label(last, "LAST " + str.tostring(last, "#.##"), colWhite, color.black) : na showPrevClose ? f_label(prevClose, "PREV CLOSE "+ str.tostring(prevClose, "#.##"), colGray, color.white) : na // ────────────────────── OTHER LEVELS – line stops at label ────────────────────── f_level(p, txt, tc, lc, w=1) => if barstate.islast and not na(p) lbl = label.new(bar_index, p, txt, style=label.style_label_left, color=lc, textcolor=tc, size=size.small) line.new(bar_index-400, p, label.get_x(lbl), p, extend=extend.none, color=lc, width=w) if barstate.islast if showR1R2R3 f_level(r1, "R1 " + str.tostring(r1, "#.##"), color.white, colRed) f_level(r2, "R2 " + str.tostring(r2, "#.##"), color.white, colRed) f_level(r3, "R3 " + str.tostring(r3, "#.##"), color.white, colRed, 2) if showS1S2S3 f_level(s1, "S1 " + str.tostring(s1, "#.##"), color.black, colLime) f_level(s2, "S2 " + str.tostring(s2, "#.##"), color.black, colLime) f_level(s3, "S3 " + str.tostring(s3, "#.##"), color.black, colLime, 2) if showStdDev f_level(stdRes1, "+1σ " + str.tostring(stdRes1, "#.##"), color.white, colPink) f_level(stdRes2, "+2σ " + str.tostring(stdRes2, "#.##"), color.white, colPink) f_level(stdRes3, "+3σ " + str.tostring(stdRes3, "#.##"), color.white, colPink, 2) f_level(stdSup1, "-1σ " + str.tostring(stdSup1, "#.##"), color.white, colCyan) f_level(stdSup2, "-2σ " + str.tostring(stdSup2, "#.##"), color.white, colCyan) f_level(stdSup3, "-3σ " + str.tostring(stdSup3, "#.##"), color.white, colCyan, 2) if showFib4W f_level(fib382_4w, "38.2% 4W " + str.tostring(fib382_4w, "#.##"), color.white, colMagenta) f_level(fib50_4w, "50% 4W " + str.tostring(fib50_4w, "#.##"), color.white, colMagenta) if showFib13W f_level(fib382_13w_high, "38.2% 13W High " + str.tostring(fib382_13w_high, "#.##"), color.white, colMagenta) f_level(fib50_13w, "50% 13W " + str.tostring(fib50_13w, "#.##"), color.white, colMagenta) f_level(fib382_13w_low, "38.2% 13W Low " + str.tostring(fib382_13w_low, "#.##"), color.white, colMagenta) if showMonthHL f_level(monthHigh, "1M HIGH " + str.tostring(monthHigh, "#.##"), color.white, colRed50, 2) f_level(monthLow, "1M LOW " + str.tostring(monthLow, "#.##"), color.white, colGreen50, 2) // Manual entries plot(showEntry1 and entry1 > 0 ? entry1 : na, "Entry 1", color=colBlue, linewidth=2, style=plot.style_linebr) plot(showEntry2 and entry2 > 0 ? entry2 : na, "Entry 2", color=colPurple, linewidth=2, style=plot.style_linebr) // Background bgcolor(close > pivot ? color.new(color.blue, 95) : color.new(color.red, 95))
مؤشر Pine Script®
من ‎baymont08980‎
VB Sigma Smart Momentum IndicatorVB Sigma Smart Momentum Indicator (VBSSMI) The VBSSMI provides a consolidated decision-support framework that surfaces market participation, trend integrity, and liquidity conditions in a single visual environment. The tool integrates four analytical modules: MCDX Flow Mapping, Donchian Regime Layers, Banker Flow Modeling, and Chop Zone Trend Classification. Together, these components convert raw price movement into an actionable interpretation of who is in control, whether momentum is durable, and what phase the instrument is currently cycling through. How to Use the Indicator (Practical Workflow) 1. Start with Institutional / Banker Flow (Pink/Red/Yellow/Green Candles) This is the primary signal layer. It tells you when high-capacity participants are increasing, reducing, or reversing risk. Yellow Candle — Entry Bias Indicates a potential institutional initiation when their trend metric crosses above their accumulation threshold. Operational signal: instrument enters “monitor for entry” state. Green Candle — Accumulation State Fund-trend > bullbearline. Operational signal: trend integrity improving; pullbacks are generally buyable. White Candle — Distribution / Cooling Fund-trend weakening but not broken. Operational signal: tighten stops; momentum deteriorating. Red Candle — Exit / Trend Failure Fund-trend < bullbearline. Operational signal: momentum regime invalidated; avoid long risk. Blue Candle — Weak Rebound A temporary uptick within broader weakness. Operational signal: do not mistake this for a durable reversal. 2. Validate alignment with Flow Chips (Retail / Trader / Institutional) These three flow columns (MCDX layers) answer: who is actually participating? Retailer Flow (Locked Chips – Green) High values imply retail conviction, often late-cycle. Good for confirming trend strength, not timing entries. Trader Zone Flow (Float Chips – Yellow) When this spikes, volatility and tactical positioning increase. Signal: strong short-term engagement, supports breakout/trend continuation. Institutional Flow (Profitable Chips – Red/Pink) This is the “true north” of momentum. Rising values = institutions controlling price discovery. Signal: long setups have statistical tailwind. The operational guidance is straightforward: Institutional Flow > Trader Flow > Retail Flow is the healthiest configuration for sustainable upside momentum. 3. Confirm Breakout / Breakdown Conditions with Donchian Regime Columns The vertical Donchian stack illustrates trend regime in a time-compressed format. Bright Blue/Cyan Structure expanding upward (breakout cluster). Dark Purple/Red Structure breaking downward (breakdown cluster). Mixed Columns Transitional or indecisive conditions. Interpret it as a “momentum backdrop”: If Donchian columns and Banker Flow candles disagree, avoid entries. 4. Consult the Chop Zone Strip Before Committing Capital The Chop Zone uses EMA angle to determine whether the market is trending or congested. Greens/Blues → Trend phase (favorable environment for continuation trades). Yellows/Oranges/Reds → High noise probability; expect false signals. Operationally: Never enter breakout setups during yellow/orange/red chop. 5. Final Decision Framework (Checklist) A long setup typically requires: Green or Yellow Banker Flow Candle Institutional Flow rising Donchian columns in bullish regime colors Chop Zone in a trend color (not red/yellow/orange) A short setup is the exact inverse. Recommended Use Cases Momentum trading Swing position building Institutional-flow confirmation Trend-filtering before deploying breakout systems Screening for strong/weak symbols in multi-asset rotation strategies
مؤشر Pine Script®
من ‎TheSigmaMentor‎
5
Kịch bản của tôi//@version=6 indicator(title="Relative Strength Index", shorttitle="Gấu Trọc RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true) rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings") rsiSourceInput = input.source(close, "Source", group="RSI Settings") calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.") change = ta.change(rsiSourceInput) up = ta.rma(math.max(change, 0), rsiLengthInput) down = ta.rma(-math.min(change, 0), rsiLengthInput) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsiPlot = plot(rsi, "RSI", color=#7E57C2) rsiUpperBand1 = hline(98, "RSI Upper Band1", color=#787B86) rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86) midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50)) rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86) rsiLowerBand2 = hline(14, "RSI Lower Band2", color=#787B86) fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill") midLinePlot = plot(50, color = na, editable = false, display = display.none) fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill") fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill") // Smoothing MA inputs GRP = "Smoothing" TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands." maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window) var isBB = maTypeInput == "SMA + Bollinger Bands" maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None") bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB) var enableMA = maTypeInput != "None" // Smoothing MA Calculation ma(source, length, MAtype) => switch MAtype "SMA" => ta.sma(source, length) "SMA + Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) // Smoothing MA plots smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na plot(smoothingMA, "RSI-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA) bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB) bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB) fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB) // Divergence lookbackRight = 5 lookbackLeft = 5 rangeUpper = 60 rangeLower = 5 bearColor = color.red bullColor = color.green textColor = color.white noneColor = color.new(color.white, 100) _inRange(bool cond) => bars = ta.barssince(cond) rangeLower <= bars and bars <= rangeUpper plFound = false phFound = false bullCond = false bearCond = false rsiLBR = rsi if calculateDivergence //------------------------------------------------------------------------------ // Regular Bullish // rsi: Higher Low plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight)) rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound ) // Price: Lower Low lowLBR = low priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1) bullCond := priceLL and rsiHL and plFound //------------------------------------------------------------------------------ // Regular Bearish // rsi: Lower High phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight)) rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound ) // Price: Higher High highLBR = high priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1) bearCond := priceHH and rsiLH and phFound plot( plFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish", linewidth = 2, color = (bullCond ? bullColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bullCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish Label", text = " Bull ", style = shape.labelup, location = location.absolute, color = bullColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) plot( phFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish", linewidth = 2, color = (bearCond ? bearColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bearCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish Label", text = " Bear ", style = shape.labeldown, location = location.absolute, color = bearColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.") alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
مؤشر Pine Script®
من ‎puttugmud‎
FPT - DCA ModelFPT - DCA Model is a simple but powerful tool to backtest a weekly “buy the dip” DCA plan with dynamic position sizing and partial profit-taking. 🔹 Core Idea - Invest a fixed amount every week (on Friday closes) - Buy more aggressively when price trades at a discount from its 52-week high - Take partial profits when price stretches too far above the daily EMA50 - Track the performance of your DCA plan vs a simple buy-and-hold from the same start date ⚙ How it works 1. Weekly DCA (on Daily timeframe) - On each Friday after the Start Date: - Add the “Weekly contribution” to the cash pool. - If the close is below the “Discount from 52W high” level: → FULL DCA: use the full weekly contribution + an extra booster from your stash (up to “Max extra stash used on dip”). → Marked on the chart with a small green triangle under the bar. - Otherwise: → HALF DCA: invest only 50% of the weekly contribution and keep the other 50% as stash (uninvested cash). → Marked with a small blue triangle under the bar. 2. 52-Week High Discount Logic - The script computes the 52-week high as the highest daily high of the last 252 trading days. - The “discount level” is: 52W high × (1 – Discount%). - When price is at or below this level, dips are treated as buying opportunities and the model allocates more. 3. Selling Logic (Partial Take Profit) - When the close is above the daily EMA50 by the selected percentage: → Sell the given “Sell portion of qty (%)” of your current holdings. → Marked with a small red triangle above the bar. - This behaves like a gradual profit-taking system: if price stays extended above EMA50, multiple partial sells can occur over time. 📊 Panel (top-right) The panel summarizes the state of your DCA plan: - Weeks: number of DCA weeks since Start Date - Total deposit: total money contributed (sum of all weekly contributions) - Shares qty: total number of shares accumulated - Avg price: volume-weighted average entry price - Shares value: current market value of all shares (qty × close) - Cash: uninvested cash (including saved stash) - Total equity: Shares value + Cash - DCA % PnL: performance of the DCA plan vs total deposits - Stock % since start: performance of the underlying asset since the Start Date ✅ Recommended Use - Timeframe: Daily (the DCA engine is designed to run on daily bars and Friday closes). - Works best on stocks, ETFs or indices where a 52-week high is a meaningful reference. - You can tune: - Weekly contribution - Discount from 52W high - Booster amount - EMA50 extension threshold and sell portion ⚠ Notes & Disclaimer - This script is a backtesting and educational tool. It does not place real orders. - Past performance does not guarantee future results. - Always combine DCA and risk management with your own research and judgment. Built by FPT (Funded Pips Trading) for long-term, rules-based DCA planning.
مؤشر Pine Script®
من ‎erendev‎
PyTai Top/Bottom Finder v0.1When the average StochRSI line rises high (near or above 80), it often signals the asset's price is approaching the peak or end of an uptrend, as momentum becomes overextended across multiple timeframes—aligning with your view on run endings. Conversely, a low average (near or below 20) suggests exhaustion in a downtrend, hinting at potential bottoms. The cluster columns amplify this: wide green bars (high positive netScore) show broad oversold agreement for bullish reversals, while red bars indicate overbought consensus for bearish turns. However, StochRSI can remain extreme in strong trends, so combine with price action or volume to avoid false signals; backtest on your assets to refine thresholds, as shorter smoothing (e.g., 1-3) increases sensitivity but noise.
مؤشر Pine Script®
من ‎Pkolby‎
Trend Follow Line Point📌 Trend Follow Line Point The Trend Follow Line Point indicator removes the confusing, repainting-based swing connections commonly found in traditional swing tools. It maintains consistent swing-point calculation, keeps structural swing lines intact even when trend lines are broken, and integrates market structure + trend + volatility + volume into one intuitive, visual indicator. This tool is designed for: Trend Following Swing Structure Analysis Volatility-Based Entry & Exit Market Strength Evaluation 📊 Component Explanation 🔹 1. Swing High / Swing Low Detection Based on the user-defined sensitivity (swgLen): A Swing High forms when the current high exceeds the previous swgLen highs. A Swing Low forms when the current low falls below the previous swgLen lows. 🔹 2. Swing-Based Structure Lines Connect Swing Highs → Structural visualization Connect Swing Lows → Structural visualization These lines reveal the underlying market structure without repainting or disappearing unexpectedly. 🔹 3. Dynamic ATR + Volume Weighting ATR values combined with the volume ratio (vol / volMA) create a dynamic volatility channel that reflects real-time market pressure. 🔹 4. Enhanced SuperTrend Calculation Uses ATR-based stability to produce more realistic and smoother trend lines, reducing noise and improving signal clarity. 🔹 5. Trend Color Mapping Up Trend → User-selected color Down Trend → User-selected color Visual trend direction and strength can be identified immediately. 🧭 How to Use When Swing Highs/Lows are detected, structure lines are automatically drawn between previous swings. Use these lines to evaluate support/resistance breaks and overall structural direction. Manage risk with volatility guidance: Higher ATR (volume-weighted) → wider trend spacing → increased risk Lower ATR → tighter spacing → reduced risk This helps with position sizing, entry timing, and exit decisions. +
مؤشر Pine Script®
من ‎c9indicator‎
Santo Graal RápidoSanto Graal Lento — Indicator Description (English) Santo Graal Lento is a trend-following indicator designed to identify high-probability market movements by combining price structure, volatility behavior, and dynamic support/resistance zones. Instead of reacting quickly to short-term noise, this tool focuses on slower, more reliable signals, helping traders stay aligned with the dominant trend while avoiding premature entries. The indicator highlights optimal “Holy Grail–style” setups by detecting pullbacks within strong trends, offering visual cues for potential continuation points. It also adapts to market conditions by smoothing signals and reducing false alerts, making it suitable for swing traders and position traders looking for cleaner, more consistent market reads. Use Santo Graal Lento to: Identify trend direction with improved stability Spot high-probability pullback entries Filter out short-term noise Support decision-making in trending markets Whether you’re trading Forex, crypto, indices, or stocks, Santo Graal Lento helps you focus on quality setups and maintain discipline through clearer trend visualization.
مؤشر Pine Script®
من ‎masterbillion2025‎
Santo Graal LentoSanto Graal Lento — Indicator Description (English) Santo Graal Lento is a trend-following indicator designed to identify high-probability market movements by combining price structure, volatility behavior, and dynamic support/resistance zones. Instead of reacting quickly to short-term noise, this tool focuses on slower, more reliable signals, helping traders stay aligned with the dominant trend while avoiding premature entries. The indicator highlights optimal “Holy Grail–style” setups by detecting pullbacks within strong trends, offering visual cues for potential continuation points. It also adapts to market conditions by smoothing signals and reducing false alerts, making it suitable for swing traders and position traders looking for cleaner, more consistent market reads. Use Santo Graal Lento to: Identify trend direction with improved stability Spot high-probability pullback entries Filter out short-term noise Support decision-making in trending markets Whether you’re trading Forex, crypto, indices, or stocks, Santo Graal Lento helps you focus on quality setups and maintain discipline through clearer trend visualization.
مؤشر Pine Script®
من ‎masterbillion2025‎
Santo Graal Tendência🌟 Holy Grail Trend – Clarity in the Flow of the Market Introducing Holy Grail Trend, a smart trend-following indicator designed for traders who want to ride strong moves while avoiding noise and false breakouts. By blending adaptive cycle analysis, smoothed momentum, and dynamic support/resistance logic, this tool highlights the true underlying trend—not just price noise. Whether you're a swing trader, position trader, or intraday momentum seeker, Holy Grail Trend helps you stay aligned with the market’s dominant direction while filtering out choppy, sideways phases. 🔍 Key Features: ✅ Clean, color-coded trend visualization (bullish / bearish) ✅ Adaptive sensitivity based on current market cycle length ✅ Dynamic trend bands that adjust to volatility and price structure ✅ Minimal lag and no repainting — reliable in real-time ✅ Works across all assets and timeframes (forex, stocks, crypto, indices) ✅ Lightweight and chart-friendly 💡 How to Use: Go long when the trend turns green and price is above the dynamic band Go short when the trend turns red and price is below the band Stay flat or reduce exposure during neutral (gray) or conflicting phases The “Holy Grail” isn’t about chasing every move—it’s about trading with the tide, not against it. Combine this indicator with your risk management rules, and you’ll have a powerful ally in your trading journey.
مؤشر Pine Script®
من ‎masterbillion2025‎
Volume detection trigger📌 Indicator Overview ** Capture a Moment of Market Attention ** This indicator combines abnormal volume (volume explosion) and price reversal patterns to capture a “signal-flare moment.” In other words, it is designed to detect moments when strong activity enters the market and a trend reversal or the start of a major uptrend/downtrend becomes likely. ✅ Strengths (Short Summary) Detects meaningful volume spikes rather than random volume increases Includes bottoming patterns such as long lower wicks & liquidity sweep lows Filters with EMA alignment / RSI / Stochastic to avoid overheated signals → catches early entries rather than tops 4H/Daily timing filter to detect signals only during high-liquidity market windows Designed as a rare-signal model for high reliability, not a noisy alert tool ➡ Summary: “The indicator fires only when volume, price structure, momentum, and timing align perfectly at the same moment.” 🎯 How to Use A signal does not mean you should instantly buy or sell. Treat it as a sign that “the market’s attention is now concentrated here.” After a signal appears, check: Whether price stays above EMA21 Whether there is room to the previous high (upside space) Whether a minor pullback or retest finds support 🔍 Practical Applications Use Case Description Swing Trading Detecting early-stage trend reversals Day Trading Spotting volume-driven shift points 🧠 Core Summary 📌 “A signal-flare indicator that automatically detects the exact moment when real volume hits the market.” → Not a tool to predict direction → A tool to recognize timing and concentration zones where major movement is likely to form ⚠ Important Note A surge in volume or a positive delta does NOT necessarily mean institutions are buying. The “institution/whale inflow” in the indicator is a model-based estimation, and it cannot identify buyers and sellers with 100% certainty. Volume, delta, cumulative flow, and VWAP breakout may all imply “strong participation,” but in some cases, the dominant side may still be sellers, such as: High volume at a peak (distribution) Heavy selling into strength Long upper wick after high delta Price failing to advance despite massive orders
مؤشر Pine Script®
من ‎c9indicator‎