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DAMMU AUTOMATICAL AI ENRTY AND TARGET AND EXITMain Components Supertrend System – Detects market trend direction (Buy/Sell zones). → Green = Uptrend (Buy) → Red = Downtrend (Sell) SMA Filter – Uses 50 & 200 moving averages to confirm overall trend. → Price above both → Bullish → Price below both → Bearish Buy/Sell Signals – Generated when Supertrend flips direction and SMA confirms. → Triangle up = Buy → Triangle down = Sell Take Profit / Stop Loss Levels – Automatically calculated after Buy/Sell entry. → TP1, TP2, SL shown on chart ADX (Sideways Zone Filter) – If ADX < 25 → Market sideways → Avoid trades Shows “No Trade Zone” area Smart Money Concepts (SMC) Tools – 🔹 Market structure (HH, HL, LH, LL) 🔹 Order blocks (OB) 🔹 Equal highs/lows 🔹 Fair Value Gaps (FVG) 🔹 Premium & Discount zones Helps find institutional entry points Visual Display – Color-coded background (trend zones) Labels for buy/sell/structure Optional FVG and order block boxes Risk Management – Input-based position sizing, SL & TP management (to calculate profit levels and minimize loss)
אינדיקטור Pine Script®
מאת ‎dammucool‎
SPX / Silver (XAGUSD) RatioThis script visualizes the S&P 500 Index to Silver ratio (SPX/Silver) — a powerful tool for monitoring the relative strength of equities vs. precious metals over time. 📊 Use Case: Helps traders assess macro sentiment shifts between risk-on (equities) and risk-off (commodities). A rising ratio indicates equity outperformance vs Silver, often in growth-driven bull markets. A falling ratio suggests Silver is outperforming — potentially due to inflation, geopolitical risk, or weakening equities. ⚙️ Data & Calculation: SPX: SP:SPX (S&P 500 Index) Silver: TVC:SILVER Formula: SPX / Silver (Both are spot/index prices, updated on daily timeframe) 📈 Interpretation: 📈 Ratio Rising → SPX outperforming Silver → Risk-on sentiment 📉 Ratio Falling → Silver outperforming SPX → Possible flight to safety or inflation hedge 🧠 Ideal For: Macro trend analysis Intermarket strategy development Asset rotation decision-making Spotting Silver bottoms during SPX/Silver peak zones
אינדיקטור Pine Script®
מאת ‎RKF-Trader‎
Fiyat - 55 EMA Uzaklık SinyaliThis indicator generates a signal when the price moves a certain percentage away from the 55-period Exponential Moving Average (EMA). It helps traders identify when the market is stretched too far from its mean level, which can indicate potential reversal or continuation zones. ⚙️ How It Works Calculates the 55 EMA on the selected chart. Measures the percentage distance between the current price and the 55 EMA. When the price distance exceeds the user-defined threshold (default: 0.50%), a visual signal (orange triangle) appears on the chart. The background also highlights the signal candle. 🧩 Inputs EMA Length: Default = 55 (can be changed). Distance Threshold (%): Default = 0.50 → Change to detect stronger or weaker price deviations.
אינדיקטור Pine Script®
מאת ‎TrigialSystem‎
Session Lines Clean (Asia/London/NY)Session Lines Clean (Asia/London/NY) — v6” automatically plots the high and low levels of the Asia and London forex sessions, and marks the opening times of Asia, London, and New York sessions with vertical dashed lines. The indicator helps traders quickly identify key session ranges, potential liquidity areas, and time-based structure levels. Optional labels and visibility toggles make it easy to customize the display without cluttering the chart.
אינדיקטור Pine Script®
מאת ‎MJRTRADING99‎
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter. Scope and intent • Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto • Timeframes: 5 min to 1 day • Default demo: SPY on 60 min • Purpose: fade stretched moves only when multi-anchor context and breadth agree • Limits: strategy uses standard candles for signals and orders only Originality and usefulness • Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM • Failure mode addressed: chasing extended moves and fading during index-wide thrusts • Testability: each component is an input and visible in orders list via L and S tags • Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols • Open source: method and implementation are disclosed for community review Method overview in plain language Base measures • Range basis: ATR(length = atr_len) as the normalization unit • Return basis: not used directly; we use rank statistics for stability Components • Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len • Robust Z of Close: median and MAD based Z to avoid outliers • Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts • Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided • Gap Shock: skip signals after large session gaps Fusion rule • All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear Signal rule • Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok • Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok What you will see on the chart • Standard strategy arrows for entries and exits • Optional short-side brackets: ATR stop and ATR take profit if enabled Inputs with guidance Setup • Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts. • ATR length: normalization unit. Typical 10 to 20. Higher reduces noise. • VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0. • Robust Z window: 40 to 100. Larger for stability. • Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only. • Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches. • Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs. Regime and Breadth • Use breadth gate: on when trading indices or broad ETFs. • Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts. • Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade. Risk — Short only • Enable short SL TP: on to bracket shorts. • Short ATR stop mult: 1.0 to 3.0. • Short ATR take profit mult: 1.0 to 6.0. Properties visible in this publication • Initial capital: 25000USD • Default order size: Percent of total equity 3% • Pyramiding: 0 • Commission: 0.03 percent • Slippage: 5 ticks • Process orders on close: OFF • Bar magnifier: OFF • Recalculate after order is filled: OFF • Calc on every tick: OFF • request.security lookahead off where used Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Fills and slippage vary by venue • Shapes can move during bar formation and settle on close • Standard candles only for strategies Honest limitations and failure modes • Economic releases or very thin liquidity can overwhelm mean-reversion logic • Heavy gap regimes may require larger gap filter or TR-based tuning • Very quiet regimes reduce signal contrast; extend windows or raise thresholds Open source reuse and credits • None Strategy notice Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution. Entries and exits • Entry logic: as in Signal rule above • Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup • Risk model: ATR-based brackets on shorts when enabled • Tie handling: stop first when both could be touched inside one bar Dataset and sample size • Test across your visible history. For robust inference prefer 100 plus trades.
אסטרטגיית Pine Script®
מאת ‎exlux‎
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
אסטרטגיית Pine Script®
מאת ‎exlux‎
2
FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
אסטרטגיית Pine Script®
מאת ‎exlux‎
Trend Telescope v4 Basic Configuration pine // Enable only the components you need Order Flow: ON Delta Volume: ON Volume Profile: ON Cumulative Delta: ON Volatility Indicator: ON Momentum Direction: ON Volatility Compression: ON 📊 Component Breakdown 1. Order Flow Analysis Purpose: Identifies buying vs selling pressure Visual: Histogram (Green=Buying, Red=Selling) Calculation: Volume weighted by price position Usage: Spot institutional order blocks 2. Delta Volume Values Purpose: Shows volume imbalance Bull Volume (Green): Volume on up bars Bear Volume (Red): Volume on down bars Usage: Identify volume divergences 3. Anchored Volume Profile Purpose: Finds high-volume price levels POC (Point of Control): Price with highest volume Profile Length: Adjustable (default: 50 bars) Usage: Identify support/resistance zones 4. Cumulative Volume Delta Purpose: Tracks net buying/selling pressure over time Trend Analysis: Rising=Buying pressure, Falling=Selling pressure Divergence Detection: Price vs Delta divergences Usage: Confirm trend strength 5. Volatility Indicator Purpose: Measures market volatility with cycle detection Volatility Ratio: ATR as percentage of price Volatility Cycle: SMA of volatility (identifies periods) Histogram: Difference between current and average volatility Usage: Adjust position sizing, identify breakout setups 6. Real-time Momentum Direction Purpose: Multi-factor momentum assessment Components: Price momentum (50%), RSI momentum (30%), Volume momentum (20%) Visual: Line plot with color coding Labels: Clear BULLISH/BEARISH/NEUTRAL signals Usage: Trend confirmation, reversal detection 7. Volatility Compression Analysis Purpose: Identifies low-volatility consolidation periods Compression Detection: True Range below threshold Strength Meter: How compressed the market is Histogram: Red when compressed, Gray when normal Usage: Predict explosive moves, prepare for breakouts ⚙️ Advanced Configuration Optimal Settings for Different Timeframes pine // Scalping (1-15 min) Profile Length: 20 ATR Period: 10 Momentum Length: 8 Compression Threshold: 0.3 // Day Trading (1H-4H) Profile Length: 50 ATR Period: 14 Momentum Length: 14 Compression Threshold: 0.5 // Swing Trading (Daily) Profile Length: 100 ATR Period: 20 Momentum Length: 21 Compression Threshold: 0.7 Alert Setup Guide Enable "Enable Alerts" in settings Choose alert types: Momentum Alerts: When momentum changes direction Compression Alerts: When volatility compression begins Set alert frequency to "Once Per Bar" Configure notification preferences 🎯 Trading Strategies Strategy 1: Compression Breakout pine Entry Conditions: 1. Volatility Compression shows RED histogram 2. Cumulative Delta trending upward 3. Momentum turns BULLISH 4. Price breaks above POC level Exit: When Momentum turns BEARISH or Compression ends Strategy 2: Momentum Reversal pine Entry Conditions: 1. Strong Order Flow in opposite direction 2. Momentum divergence (price makes new high/low but momentum doesn't) 3. Volume confirms the reversal Exit: When Order Flow returns to trend direction Strategy 3: Institutional Accumulation pine Identification: 1. High Cumulative Delta but flat/sideways price 2. Consistent Order Flow in one direction 3. Volume Profile shows accumulation at specific levels Trade: Enter in direction of Order Flow when price breaks level 📈 Interpretation Guide Bullish Signals ✅ Order Flow consistently green ✅ Cumulative Delta making higher highs ✅ Momentum above zero and rising ✅ Bull Volume > Bear Volume ✅ Price above POC level Bearish Signals ✅ Order Flow consistently red ✅ Cumulative Delta making lower lows ✅ Momentum below zero and falling ✅ Bear Volume > Bull Volume ✅ Price below POC level Caution Signals ⚠️ Momentum divergence (price vs indicator) ⚠️ Volatility compression (potential big move coming) ⚠️ Mixed signals across components 🔧 Troubleshooting Common Issues & Solutions Problem: Indicators not showing Solution: Check "Show on Chart" is enabled Problem: Alerts not triggering Solution: Verify alert is enabled in both script and TradingView alert panel Problem: Performance issues Solution: Reduce number of enabled components or increase timeframe Problem: Volume Profile not updating Solution: Adjust Profile Length setting, ensure sufficient historical data Performance Optimization Disable unused components Increase chart timeframe Reduce historical bar count Use on lower timeframes with fewer indicators enabled 💡 Pro Tips Risk Management Use Volatility Indicator for position sizing Monitor Cumulative Delta for trend confirmation Use POC levels for stop-loss placement Multi-Timeframe Analysis Use higher timeframe for trend direction Use current timeframe for entry timing Correlate signals across timeframes Market Condition Adaptation Trending Markets: Focus on Momentum + Order Flow Ranging Markets: Focus on Volume Profile + Compression High Volatility: Use smaller position sizes Low Volatility: Prepare for compression breakouts 📚 Educational Resources Key Concepts to Master Volume-price relationships Market microstructure Institutional order flow Volatility regimes Momentum vs mean reversion Recommended Learning Path Start with Order Flow + Momentum only Add Volume Profile once comfortable Incorporate Volatility analysis Master multi-component correlation 🆘 Support Getting Help Check component toggles are enabled Verify sufficient historical data is loaded Test on major pairs/indices first Adjust settings for your trading style Continuous Improvement Backtest strategies thoroughly Keep a trading journal Adjust parameters based on market conditions Combine with price action analysis Remember: No indicator is perfect. Use this tool as part of a comprehensive trading plan with proper risk management. Always test strategies in demo accounts before live trading. Happy Trading! 📈
אינדיקטור Pine Script®
מאת ‎lohanineeraj‎
Smooth Theil-SenI wanted to build a Theil-Sen estimator that could run on more than one bar and produce smoother output than the standard implementation. Theil-Sen regression is a non-parametric method that calculates the median slope between all pairs of points in your dataset, which makes it extremely robust to outliers. The problem is that median operations produce discrete jumps, especially when you're working with limited sample sizes. Every time the median shifts from one value to another, you get a step change in your regression line, which creates visual choppiness that can be distracting even though the underlying calculations are sound. The solution I ended up going with was convolving a Gaussian kernel around the center of the sorted lists to get a more continuous median estimate. Instead of just picking the middle value or averaging the two middle values when you have an even sample size, the Gaussian kernel weights the values near the center more heavily and smoothly tapers off as you move away from the median position. This creates a weighted average that behaves like a median in terms of robustness but produces much smoother transitions as new data points arrive and the sorted list shifts. There are variance tradeoffs with this approach since you're no longer using the pure median, but they're minimal in practice. The kernel weighting stays concentrated enough around the center that you retain most of the outlier resistance that makes Theil-Sen useful in the first place. What you gain is a regression line that updates smoothly instead of jumping discretely, which makes it easier to spot genuine trend changes versus just the statistical noise of median recalculation. The smoothness is particularly noticeable when you're running the estimator over longer lookback periods where the sorted list is large enough that small kernel adjustments have less impact on the overall center of mass. The Gaussian kernel itself is a bell curve centered on the median position, with a standard deviation you can tune to control how much smoothing you want. Tighter kernels stay closer to the pure median behavior and give you more discrete steps. Wider kernels spread the weighting further from the center and produce smoother output at the cost of slightly reduced outlier resistance. The default settings strike a balance that keeps the estimator robust while removing most of the visual jitter. Running Theil-Sen on multiple bars means calculating slopes between all pairs of points across your lookback window, sorting those slopes, and then applying the Gaussian kernel to find the weighted center of that sorted distribution. This is computationally more expensive than simple moving averages or even standard linear regression, but Pine Script handles it well enough for reasonable lookback lengths. The benefit is that you get a trend estimate that doesn't get thrown off by individual spikes or anomalies in your price data, which is valuable when working with noisy instruments or during volatile periods where traditional regression lines can swing wildly. The implementation maintains sorted arrays for both the slope calculations and the final kernel weighting, which keeps everything organized and makes the Gaussian convolution straightforward. The kernel weights are precalculated based on the distance from the center position, then applied as multipliers to the sorted slope values before summing to get the final smoothed median slope. That slope gets combined with an intercept calculation to produce the regression line values you see plotted on the chart. What this really demonstrates is that you can take classical statistical methods like Theil-Sen and adapt them with signal processing techniques like kernel convolution to get behavior that's more suited to real-time visualization. The pure mathematical definition of a median is discrete by nature, but financial charts benefit from smooth, continuous lines that make it easier to track changes over time. By introducing the Gaussian kernel weighting, you preserve the core robustness of the median-based approach while gaining the visual smoothness of methods that use weighted averages. Whether that smoothness is worth the minor variance tradeoff depends on your use case, but for most charting applications, the improved readability makes it a good compromise.
אינדיקטור Pine Script®
מאת ‎The_Peaceful_Lizard‎
BB_1-44 ББ в одном (4 in 1) BB_1-4 is a multi-timeframe Bollinger Bands indicator that displays four different sets of Bollinger Bands on the price chart with customizable periods, line styles, and transparency levels. Features: - Four Bollinger Bands sets: bb_1 (20), bb_2 (80), bb_3 (160), bb_4 (320) - Customizable period and multiplier for each set - Unique line styles: standard, stepline, and stepline_diamond - Adjustable line transparency for better visibility - No fill between bands for cleaner chart layout Ideal for multi-timeframe analysis, volatility assessment, and support/resistance level identification.
אינדיקטור Pine Script®
מאת ‎disafi2014‎
1
Constant Auto Trendlines (Extended Right)📈 Constant Auto Trendlines (Extended Right) This indicator automatically detects market structure by connecting swing highs and lows with permanent, forward-projecting trendlines. Unlike standard trendline tools that stop at the last pivot, this version extends each trendline infinitely into the future — helping traders visualize where price may react next. 🔍 How It Works The script identifies pivot highs and lows using user-defined left/right bar counts. When a new lower high or higher low appears, the indicator draws a line between the two pivots and extends it forward using extend.right. Each new confirmed trendline stays fixed, creating a historical map of structure that evolves naturally with market action. Optional filters: Min Slope – ignore nearly flat trendlines Show Latest Only – focus on the most relevant trendline Alerts – get notified when price crosses the most recent uptrend or downtrend line 🧩 Why It’s Useful This tool helps traders: Spot emerging trends early Identify dynamic support/resistance diagonals Avoid redrawing trendlines manually Backtest structure breaks historically ⚙️ Inputs Pivot Left / Right bars Min slope threshold Line color, width, and style Show only latest line toggle Alert options
אינדיקטור Pine Script®
מאת ‎rrtaker86‎
1
Trend Pivot Retracements [TradeEasy]▶ OVERVIEW Trend Pivot Retracements identifies market trend direction using a Donchian-style channel and dynamically highlights retracement zones during trending conditions. It calculates the percentage pullbacks from recent highs and lows, plots labeled zones with varying intensity, and visually connects key retracement pivots. The indicator also emphasizes price proximity to trend boundaries by dynamically adjusting the thickness of plotted trend bands. ▶ TREND DETECTION & BAND STRUCTURE The indicator determines the current trend by checking for new 50-bar extremes: Uptrend: If a new highest high is made, the trend is considered bullish. Downtrend: If a new lowest low is made, the trend is considered bearish. Uptrend Band: Plots the 50-bar lowest low as a trailing support level. Downtrend Band: Plots the 50-bar highest high as a trailing resistance level. Thickness Variation: The thickness of the band increases the further price moves from it, indicating overextension. ▶ RETRACEMENT LABELING SYSTEM During a trend, the indicator monitors pivot points in the opposite direction to measure retracements: Bullish Retracement: Triggered when a pivot low forms during an uptrend. Measures % pullback from the most recent swing high (searched up to 20 bars back). Plots a bold horizontal line at the low and a dashed diagonal from the previous swing high. Adds a “-%” label above the low; intensity is based on recent 50 pullbacks. Bearish Retracement: Triggered when a pivot high forms during a downtrend. Measures % pullback from the previous swing low (up to 20 bars back). Plots a bold horizontal line at the high and a dashed diagonal from the prior swing low. Adds a “%” label below the high with gradient color based on the past 50 extremes. ▶ PIVOT CONNECTION LINES Each retracement includes a visual connector: A diagonal dashed line linking the swing extreme (20 bars back) to the retracement point. This line visually traces the path of price retreat within the trend. Helps traders understand where the retracement originated and how steep it was. ▶ TREND SWITCH SIGNALS When trend direction changes: A diamond marker is plotted on the new pivot confirming the trend shift. Green diamonds signal new bullish trends at fresh lows. Magenta diamonds signal new bearish trends at fresh highs. ▶ COLOR INTENSITY & CONTEXTUAL AWARENESS To help interpret the magnitude of retracements: The % labels are color-coded using a gradient scale that references the max of the last 50 pullbacks. Stronger pullbacks result in deeper color intensity, signaling more significant corrections. Trend bands also use standard deviation normalization to adjust line thickness based on how far price has moved from the band. This creates a visual cue for potential exhaustion or volatility extremes. ▶ USAGE Trend Pivot Retracements is a powerful tool for traders who want to: Identify trend direction and contextual pullbacks within those trends. Spot key retracement points that may serve as entry opportunities or reversal signals. Use visual retracement angles to understand market pressure and trend maturity. Read dynamic band thickness as an alert for price stretch, potential mean reversion, or breakout setups. ▶ CONCLUSION Trend Pivot Retracements gives traders a clean, visually expressive way to monitor trending markets, while capturing and labeling meaningful retracements. With adaptive color intensity, diagonal connectors, and smart trend switching, it enhances situational awareness and provides immediate clarity on trend health and pullback strength.
אינדיקטור Pine Script®
מאת ‎OfficialTradeEasyIO‎
NWOG/NDOG + EHPDA🌐 ENGLISH DESCRIPTION Hybrid NWOG/NDOG + EHPDA – Advanced Gaps & Event Horizon Indicator (Enhanced with Real-Time Alerts and Info Table) 📊 Overview This advanced indicator combines automatic detection of weekly gaps (NWOG) and daily gaps (NDOG) with the Event Horizon (EHPDA) concept, now featuring customizable alerts and a real-time info table for a more efficient trading experience. Designed for traders who operate based on institutional price structures, liquidity zones, and SMC/ICT confluences. ✨ Key Features 1. Gap Detection & Visualization NWOG (New Week Opening Gap): Identifies and visualizes the gap between Friday’s close and Monday’s open. NDOG (New Day Opening Gap): Detects daily gaps on intraday timeframes. Enhanced visualization: Semi-transparent boxes, price levels (top, middle, bottom), and lines extended to the current bar. Customizable labels: Display gap formation date and price levels (optional). 2. Event Horizon (EHPDA) Automatically calculates the Event Horizon level between two non-overlapping gaps. Dashed line marking the equilibrium zone between bullish and bearish gaps. 3. Advanced 5pm-6pm Mode Special option to detect the Sunday-Monday gap using 4H bars. 4. Real-Time Alerts New gaps (NWOG/NDOG): Immediate notification when a new gap forms. Gap fill: Alert when price completely fills a gap. Event Horizon active: Notification when the Event Horizon level is triggered. 5. Info Table Real-time display: number of active gaps, Event Horizon status, time remaining until weekly/daily close. Customizable: position, size, and style. 🎨 Customization Configurable colors for bullish gaps, bearish gaps, and Event Horizon line. Customizable price labels and date format. 📈 Use Cases Reversal trading, price targets, liquidity zones, SMC/ICT confluences. ⚙️ Recommended Settings Timeframes: Daily and intraday (15m, 1H, 4H, etc.). NWOG: Enable on all timeframes. NDOG: Enable only on intraday. Max Gaps: 3-5 for clean charts, 10-15 for historical analysis. 📝 Important Notes Works best on 24/5 markets (Forex, Crypto). Gaps automatically close when filled. Event Horizon only appears with at least 2 non-overlapping gaps.
אינדיקטור Pine Script®
מאת ‎CDC_Trading_LABN‎
VBE Pro - Advanced Volatility Bands with Zero Lag & PredictionVBE Pro: Zero-Lag Predictive Bands A next-gen volatility envelope that blends zero-lag smoothing with forward-looking volatility models (EWMA/GARCH/HAR/ML) to keep bands tight in calm markets, responsive in shocks, and adaptive across regimes. What it does Builds volatility from multiple methods (ATR, StDev, Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang). Projects near-term vol with your choice of predictor, then blends it via a weight slider. Applies zero-lag smoothing (ZLEMA/ZLMA/DEMA/TEMA/HMA/JMA/Ehlers/Kalman/T3) to cut delay without over-shoot. Auto-adapts band width by regime (high/low/normal) and can expand dynamically with price acceleration. Optional displacement to align with your execution style. On-chart Upper/Lower zero-lag bands with optional fill. Middle line (ZL-smoothed source). Regime-tinted background (High/Low). Displacement marker (if used). Compact top-right info table: current vs predicted vol, regime, squeeze, multiplier, methods, ZL gain, est. lag reduction. Signals & Alerts Break↑ / Break↓ when price crosses the bands. Vol↑ / Vol↓ expansion/contraction sequences. “Squeeze” when band width compresses vs its ZL average. “ZL” marker when significant zero-lag is active. Prediction divergence ⚠ when projected vol deviates > threshold. Built-in alertconditions for all of the above. Quick start Method: ATR or Hybrid for robustness. Smoothing: ZLEMA, length 5–8, ZL gain 2–3 (push higher only if you accept more projection). Bands: Multiplier 2.0, Adaptive on, Dynamic off to start. Prediction: EWMA, weight 0.25–0.35. Move to GARCH in mean-reverty tapes; HAR-RV for mixed regimes. Regime lookback: 50.
אינדיקטור Pine Script®
מאת ‎andrew.gibbs777‎
PulseRPO Zero-Lag BandsPulseRPO is a momentum and volatility timing suite built on a zero-lag Relative Price Oscillator. It pairs an RPO (fast vs slow MA spread, in %) with adaptive volatility envelopes that tighten or widen as conditions change, so you can spot true momentum bursts, exhaustion and “quiet-before-the-move” squeezes—without the usual MA lag. What it shows Zero-Lag RPO: Choose EMA, SMA, WMA, RMA, HMA or ZLEMA for the base, then apply ZLEMA/DEMA/TEMA/HMA zero-lag smoothing to cut delay. Adaptive Bands: StdDev, ATR, Range or Hybrid volatility; bands auto-tighten in high vol and widen in quiet regimes. Dynamic OB/OS: Levels scale with current regime so extremes mean something even as volatility shifts. Signal & Histogram: Classic signal cross plus histogram for quick read of acceleration vs deceleration. Squeeze Paint: Subtle background highlight when band width compresses below its average. Divergences & Triggers: Optional bullish/bearish divergence tags, plus band-cross and signal-cross alerts out of the box. How to use it (general guide) Momentum entries: Look for RPO crossing up its signal from below or snapping out of a squeeze; extra weight if it also re-enters from below the lower band. Trend continuation: RPO riding outside the upper (or lower) band with rising histogram = power move; trail risk on pullbacks to the signal line. Exhaustion / fades: Taps beyond dynamic OB/OS or band re-entries can mark mean-revert windows—confirm with price/volume. Risk filter: During squeeze, size down and prepare for expansion; after expansion, respect extremes. Tweak the MA type, band method and zero-lag strength to match your timeframe. PulseRPO is designed to be a self-contained read: regime → setup → trigger → alert.
אינדיקטור Pine Script®
מאת ‎andrew.gibbs777‎
SALSA MultiStrategy DashboardSALSA MultiStrategy Dashboard - Comprehensive Technical Analysis Tool 🎯 ORIGINALITY & PURPOSE The SALSA MultiStrategy Dashboard addresses a critical challenge in technical analysis: indicator fragmentation. Unlike simple mashups that merely combine indicators, this tool provides a unified analytical framework that identifies trading confluence across multiple technical methodologies. Unique Value Proposition: Integrated Analysis System: Rather than analyzing isolated signals, SALSA identifies when multiple technical approaches align, providing higher-probability trade setups Cognitive Load Reduction: Consolidates 7+ technical indicators into a single, organized view while maintaining analytical depth Dynamic Market State Detection: Automatically classifies market conditions (ranging vs. trending) and adjusts strategy recommendations accordingly 🔍 TECHNICAL METHODOLOGY Core Component Integration: 1. Squeeze Momentum System Purpose: Identifies market consolidation periods and potential breakout directions Methodology: Combines Bollinger Bands® and Keltner Channels to detect volatility compression Momentum Calculation: Uses linear regression of price relative to dynamic support/resistance levels Original Enhancement: Integrated divergence detection within squeeze momentum signals 2. ADX Trend Strength Analysis Purpose: Quantifies trend strength with customizable threshold levels Methodology: Average Directional Index with configurable key level (default: 23) Original Enhancement: Dynamic color coding based on slope and key level positioning 3. RSI with Multi-Timeframe Divergence Purpose: Momentum analysis with built-in divergence detection Methodology: Traditional RSI with fast/slow period comparison for early momentum shifts Original Enhancement: Integrated bullish/bearish divergence detection with visual alerts 4. Confluence Confirmation Suite Money Flow Index (MFI): Volume-weighted momentum confirmation Stochastic Oscillator: Momentum and overbought/oversold conditions Awesome Oscillator: Market momentum and acceleration MACD: Trend direction and momentum shifts CCI: Cycle identification and extreme level detection ⚙️ HOW COMPONENTS WORK TOGETHER The dashboard creates a hierarchical analysis system: Market State Identification: Squeeze Momentum determines consolidation vs. expansion phases Trend Quality Assessment: ADX evaluates whether trends are trade-worthy Momentum Confirmation: RSI and additional oscillators validate directional bias Confluence Scoring: Multiple confirmations create weighted probability assessments Practical Workflow: Squeeze Release + ADX > 23 + RSI Bullish = High-Probability Long Squeeze Active + ADX < 23 = Range-Bound Strategy Multiple Divergence Alerts + Momentum Shift = Reversal Watch 🎨 USER CUSTOMIZATION FEATURES Comprehensive Color Customization: Squeeze Momentum: 5 customizable colors for different momentum states ADX System: Separate colors for rising/falling ADX and DI lines RSI: Customizable line colors with overbought/oversold highlighting Zero Lines: Configurable reference level colors Flexible Display Options: Toggle individual indicators on/off Adjustable scaling and sensitivity parameters Customizable lookback periods for all components 📊 PRACTICAL APPLICATION Trading Scenarios: Trend Following Setup: Squeeze Momentum shows directional bias ADX confirms trend strength above key level RSI maintains momentum without divergence Additional oscillators align with primary direction Reversal Identification: Squeeze Momentum shows exhaustion Multiple divergence signals across indicators ADX indicates weakening trend strength Confluence of momentum shift signals Range Trading: Squeeze active (consolidation) ADX below key level (lack of trend) Oscillators bouncing between boundaries Focus on mean-reversion strategies 🔧 TECHNICAL IMPLEMENTATION Code Structure: Modular Design: Each component operates independently yet integrates seamlessly Performance Optimized: Efficient calculations suitable for multiple timeframes Real-time Processing: Instant signal updates without repainting Original Algorithms: Enhanced Squeeze Detection: Improved volatility measurement Multi-timeframe Divergence: Simultaneous analysis across different periods Dynamic Scaling System: Automatic adjustment to market conditions 📈 EDUCATIONAL VALUE This indicator serves as an educational framework for: Understanding technical analysis confluence Developing systematic trading approaches Learning how different indicators interact Building disciplined trading habits ⚠️ RISK MANAGEMENT NOTES Not Financial Advice: This tool provides analytical insights, not trading recommendations Multiple Timeframe Analysis: Always confirm signals across different timeframes Risk Management: Use proper position sizing and stop-loss strategies Market Context: Consider fundamental factors and market conditions 🔄 VERSION HISTORY & CONTINUOUS IMPROVEMENT This publication represents the culmination of extensive research and testing. Future updates will focus on: Additional confluence detection methods Enhanced visualization options Performance optimization User-requested features The SALSA MultiStrategy Dashboard represents a significant advancement in technical analysis tools by providing a structured, multi-faceted approach to market analysis that emphasizes confluence and probability assessment over isolated signals.
אינדיקטור Pine Script®
מאת ‎CARLOSVIZCARRA17‎
Trend Strength Detector TSDTrend Strength Detector (TSD) *Objective Trend Quality Measurement for Educational Market Analysis* Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication. ## 🎯 Purpose & Design Philosophy The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"* This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems. ## 🔗 Complementary Research Framework ### Designed to Work With Pattern Detection Systems This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like: - **RMBS Smart Detector - Multi-Factor Momentum System** - Traditional chart pattern analyzers - Any momentum-based pattern identification tools 🔍 **To find RMBS Smart Detector:** - Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"` - Look for: *Multi-Factor Momentum System* - By author: ` ` ### Why This Complementary Approach? **Trend Quality Measurement** (TSD - this tool) provides: - ✅ Structural trend alignment (0-100 score) - ✅ Momentum intensity levels (0-100 score) - ✅ Environment classification (Strong/Moderate/Weak) - 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"* ### Educational Research Value When used together in a research context, these tools enable systematic study of questions like: - How do reversal patterns behave when Strength Score is above 70 vs below 30? - Do continuation patterns in weakening environments (declining scores) show different characteristics? - What is the correlation between high Alignment Scores and pattern "success rates"? - Can environment classification help identify genuine trend initiation vs false starts? ⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent. --- ###Mathematical Foundation ##TSA Formula: scoring method developed by Ario -Trend Model (0 – 100) TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30) EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure. Price Position evaluates if Close is above/below all EMAs. Consistency = 3 × max(bullish,bearish bars within 10 candles). -Strength Model (0 – 100) Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10) ADX measures trend energy; Slope shows EMA momentum %; RSI assesses zone positioning; MACD confirms directional agreement. Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________ 📊 Environment Classification Based on Total Strength Score: 🟢 Strong Environment: Score ≥ 60 → Well-defined momentum, clear directional bias 🟡 Moderate Environment: 40 ≤ Score < 60 → Mixed signals, transitional conditions 🔴 Weak Environment: Score < 40 → Ranging, choppy, low conviction movement Color Coding: • Green background: Strong (≥60) • Yellow background: Moderate (40-59) • Red background: Weak (<40) ________________________________________ 📈 Visual Components Main Chart Display Score Labels (Top-Right Corner): ┌─────────────────────────────────┐ │ 📊 Alignment: 75 | Strength: 82 │ │ Environment: Strong 🟢 │ └─────────────────────────────────┘ Color-Coded Background: • Environment strength visually indicated via background color • Helps quick identification of market regime • Customizable transparency (default: 90%) Reference Lines: • Dotted line at 60: Strong/Moderate threshold • Dotted line at 40: Moderate/Weak threshold • Mid-line at 50: Neutral reference ________________________________________ 🔧 Customization Settings Input Parameters The best setting is the default mode. 🚫 Important Disclaimers & Limitations What This Indicator IS: ✅ Educational measurement tool for trend quality research ✅ Quantitative assessment of current market environment ✅ Complementary analysis tool for pattern-based systems ✅ Historical data analyzer for systematic study ✅ Multi-factor scoring system based on technical calculations What This Indicator IS NOT: ❌ NOT a trading system or signal generator ❌ NOT financial advice or trade recommendations ❌ NOT predictive of future price movements ❌ NOT a guarantee of pattern success/failure ❌ NOT a substitute for comprehensive risk management ________________________________________ Known Limitations 1. Lagging Nature: ⚠️ All components (EMA, ADX, RSI, MACD) are calculated from historical price data → Scores reflect CURRENT and RECENT conditions → Cannot predict sudden reversals or black swan events → Trend measurements lag actual price turning points 2. Whipsaw Risk: ⚠️ In choppy/ranging markets, scores may fluctuate rapidly → Moderate zone (40-60) can see frequent transitions → Low timeframes more susceptible to noise → Consider higher timeframes for stable measurements 3. Component Conflicts: ⚠️ Individual components may disagree → Example: Strong ADX but weak RSI alignment → Scores average these conflicts (may hide nuance) → Check individual components for deeper insight 4. Not Predictive: ⚠️ High scores do NOT guarantee continuation ⚠️ Low scores do NOT guarantee reversal → Measurement ≠ Prediction → Use for CONTEXT, not SIGNALS → Combine with comprehensive analysis ________________________________________ Risk Acknowledgments Market Risk: • All trading involves substantial risk of loss • Past performance (even systematic studies) does not guarantee future results • No indicator, system, or methodology can eliminate market risk Measurement Limitations: • Scores are mathematical calculations, not market predictions • Environmental classification is descriptive, not prescriptive • Strong measurements can deteriorate rapidly without warning Educational Purpose: • This tool is designed for LEARNING about market structure • Not designed, tested, or validated as a standalone trading system • Any trading decisions are user’s sole responsibility No Warranty: • Indicator provided “as-is” for educational purposes • No guarantee of accuracy, reliability, or profitability • Users must verify calculations and apply critical thinking Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.” --- **Attribution & Fair Use Notice** The Trend Strength Detector (TSD) scoring framework (Multi-Factor Momentum System) was originally designed and formulated by *Ahmadrezarahmati( Ario or Ario_ Pine Lab)*. If you build upon, modify, or republish this logic—please include proper attribution to the original author. This request is made under a spirit of open collaboration and educational fairness.
אינדיקטור Pine Script®
מאת ‎Ario_pinelab‎
2