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MACD Josh MACD Study — Visual Crossover Tags Overview: This script displays MACD signals in a clear, visual way by showing: Histogram = EMA(Fast) − EMA(Slow) Signal = EMA(Histogram, Signal Length) It adds labels and arrows to help you see crossover events between the Histogram and the Signal line more easily. ⚠️ Disclaimer: This tool is for educational and research purposes only. It is not financial advice or an investment recommendation. Past performance does not guarantee future results. Users should make their own decisions and manage risk responsibly. Features Central Zero Line with Signal and Histogram plots Optional labels/arrows to highlight Histogram–Signal crossovers Alerts for crossover and crossunder events, integrated with TradingView’s alert system Standard adjustable inputs: Fast EMA, Slow EMA, Signal EMA How to Interpret (for study only) When the Histogram crosses above the Signal, a visual label/arrow marks a positive MACD event When the Histogram crosses below the Signal, a visual label/arrow marks a negative MACD event The “BUY/SELL” labels are visual study tags only — they do not represent trade instructions or recommendations Responsible Usage Tips Test across multiple timeframes and different assets Combine with higher-timeframe trend, support/resistance, or volume for confirmation Use alerts with caution, and always test in a demo environment first Technical Notes The script does not use future data and does not repaint signals once bars are closed Results depend on market conditions and may vary across assets and timeframes License & Credits Written in Pine Script® v5 for TradingView The indicator name shown on chart is for labeling purposes only and carries no implication of advice or solicitation
Pine Script® Indikator
von JOSHSniper4569
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone . This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? " This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader. The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value. The Value Zone: The range between the high and low of the selected higher timeframe. Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium. Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount. Key Features 1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum. The line changes color smoothly from light blue to neon teal as bullish momentum increases. It shifts from hot pink to bright purple as bearish momentum increases. Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance. 2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility. 3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding. How to Use the AVO: Trading Strategies 1. Reversion Trading This is the most direct way to use the indicator. Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning. Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing. 2. Best Practices & Settings Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day." Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
Pine Script® Indikator
von CRYPTIK1
3
Trend Pro V2 [CRYPTIK1]Introduction: What is Trend Pro V2? Welcome to Trend Pro V2! This analysis tool give you at-a-glance understanding of the market's direction. In a noisy market, the single most important factor is the dominant trend. Trend Pro V2 filters out this noise by focusing on one core principle: trading with the primary momentum. Instead of cluttering your chart with confusing signals, this indicator provides a clean, visual representation of the trend, helping you make more confident and informed trading decisions. The dashboard provides a simple, color-coded view of the trend across multiple timeframes. The Core Concept: The Power of Confluence The strength of any trading decision comes from confluence—when multiple factors align. Trend Pro V2 is built on this idea. It uses a long-term moving average (200-period EMA by default) to define the primary trend on your current chart and then pulls in data from three higher timeframes to confirm whether the broader market agrees. When your current timeframe and the higher timeframes are all aligned, you have a state of "confluence," which represents a higher-probability environment for trend-following trades. Key Features 1. The Dynamic Trend MA: The main moving average on your chart acts as your primary guide. Its color dynamically changes to give you an instant read on the market. Teal MA: The price is in a confirmed uptrend (trading above the MA). Pink MA: The price is in a confirmed downtrend (trading below the MA). The moving average changes color to instantly show you if the trend is bullish (teal) or bearish (pink). 2. The Multi-Timeframe (MTF) Trend Dashboard: Located discreetly in the bottom-right corner, this dashboard is your window into the broader market sentiment. It shows you the trend status on three customizable higher timeframes. Teal Box: The trend is UP on that timeframe. Pink Box: The trend is DOWN on that timeframe. Gray Box: The price is neutral or at the MA on that timeframe. How to Use Trend Pro V2: A Simple Framework Step 1: Identify the Primary Trend Look at the color of the MA on your chart. This is your starting point. If it's teal, you should generally be looking for long opportunities. If it's pink, you should be looking for short opportunities. Step 2: Check for Confluence Glance at the MTF Trend Dashboard. Strong Confluence (High-Probability): If your main chart shows an uptrend (Teal MA) and the dashboard shows all teal boxes, the market is in a strong, unified uptrend. This is a high-probability environment to be a buyer on dips. Weak or No Confluence (Caution Zone): If your main chart shows an uptrend, but the dashboard shows pink or gray boxes, it signals disagreement among the timeframes. This is a sign of market indecision and a lower-probability environment. It's often best to wait for alignment. Here, the daily trend is down, but the MTF dashboard shows the weekly trend is still up—a classic sign of weak confluence and a reason for caution. Best Practices & Settings Timeframe Synergy: For best results, use Trend Pro on a lower timeframe and set your dashboard to higher timeframes. For example, if you trade on the 1-hour chart, set your MTF dashboard to the 4-hour, 1-day, and 1-week. Use as a Confirmation Tool: Trend Pro V2 is designed as a foundational layer for your analysis. First, confirm the trend, then use your preferred entry method (e.g., support/resistance, chart patterns) to time your trade. This is a tool for the community, so feel free to explore the open-source code, adapt it, and build upon it. Happy trading! For your consideration @TradingView
Pine Script® Indikator
von CRYPTIK1
Bollinger Adaptive Trend Navigator [QuantAlgo]🟢 Overview The Bollinger Adaptive Trend Navigator synthesizes volatility channel analysis with variable smoothing mechanics to generate trend identification signals. It uses price positioning within Bollinger Band structures to modify moving average responsiveness, while incorporating ATR calculations to establish trend line boundaries that constrain movement during volatile periods. The adaptive nature makes this indicator particularly valuable for traders and investors working across various asset classes including stocks, forex, commodities, and cryptocurrencies, with effectiveness spanning multiple timeframes from intraday scalping to longer-term position analysis. 🟢 How It Works The core mechanism calculates price position within Bollinger Bands and uses this positioning to create an adaptive smoothing factor: bbPosition = bbUpper != bbLower ? (source - bbLower) / (bbUpper - bbLower) : 0.5 adaptiveFactor = (bbPosition - 0.5) * 2 * adaptiveMultiplier * bandWidthRatio alpha = math.max(0.01, math.min(0.5, 2.0 / (bbPeriod + 1) * (1 + math.abs(adaptiveFactor)))) This adaptive coefficient drives an exponential moving average that responds more aggressively when price approaches Bollinger Band extremes: var float adaptiveTrend = source adaptiveTrend := alpha * source + (1 - alpha) * nz(adaptiveTrend , source) finalTrend = 0.7 * adaptiveTrend + 0.3 * smoothedCenter ATR-based volatility boundaries constrain the final trend line to prevent excessive movement during volatile periods: volatility = ta.atr(volatilityPeriod) upperBound = bollingerTrendValue + (volatility * volatilityMultiplier) lowerBound = bollingerTrendValue - (volatility * volatilityMultiplier) The trend line direction determines bullish or bearish states through simple slope comparison, with the final output displaying color-coded signals based on the synthesis of Bollinger positioning, adaptive smoothing, and volatility constraints (green = long/buy, red = short/sell). 🟢 Signal Interpretation Rising Trend Line (Green): Indicates upward direction based on Bollinger positioning and adaptive smoothing = Potential long/buy opportunity Falling Trend Line (Red): Indicates downward direction based on Bollinger positioning and adaptive smoothing = Potential short/sell opportunity Built-in Alert System: Automated notifications trigger when bullish or bearish states change, allowing you to act on significant development without constantly monitoring the charts Candle Coloring: Optional feature applies trend colors to price bars for visual consistency Configuration Presets: Three parameter sets available - Default (standard settings), Scalping (faster response), and Swing Trading (slower response)
Pine Script® Indikator
von QuantAlgo
4
RSI Trend Navigator [QuantAlgo]🟢 Overview The RSI Trend Navigator integrates RSI momentum calculations with adaptive exponential moving averages and ATR-based volatility bands to generate trend-following signals. The indicator applies variable smoothing coefficients based on RSI readings and incorporates normalized momentum adjustments to position a trend line that responds to both price action and underlying momentum conditions. 🟢 How It Works The indicator begins by calculating and smoothing the RSI to reduce short-term fluctuations while preserving momentum information: rsiValue = ta.rsi(source, rsiPeriod) smoothedRSI = ta.ema(rsiValue, rsiSmoothing) normalizedRSI = (smoothedRSI - 50) / 50 It then creates an adaptive smoothing coefficient that varies based on RSI positioning relative to the midpoint: adaptiveAlpha = smoothedRSI > 50 ? 2.0 / (trendPeriod * 0.5 + 1) : 2.0 / (trendPeriod * 1.5 + 1) This coefficient drives an adaptive trend calculation that responds more quickly when RSI indicates bullish momentum and more slowly during bearish conditions: var float adaptiveTrend = source adaptiveTrend := adaptiveAlpha * source + (1 - adaptiveAlpha) * nz(adaptiveTrend , source) The normalized RSI values are converted into price-based adjustments using ATR for volatility scaling: rsiAdjustment = normalizedRSI * ta.atr(14) * sensitivity rsiTrendValue = adaptiveTrend + rsiAdjustment ATR-based bands are constructed around this RSI-adjusted trend value to create dynamic boundaries that constrain trend line positioning: atr = ta.atr(atrPeriod) deviation = atr * atrMultiplier upperBound = rsiTrendValue + deviation lowerBound = rsiTrendValue - deviation The trend line positioning uses these band constraints to determine its final value: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Signal generation occurs through directional comparison of the trend line against its previous value to establish bullish and bearish states: trendUp = trendLine > trendLine trendDown = trendLine < trendLine if trendUp isBullish := true isBearish := false else if trendDown isBullish := false isBearish := true The final output colors the trend line green during bullish states and red during bearish states, creating visual buy/long and sell/short opportunity signals based on the combined RSI momentum and volatility-adjusted trend positioning. 🟢 Signal Interpretation Rising Trend Line (Green): Indicates upward momentum where RSI influence and adaptive smoothing favor continued price advancement = Potential buy/long positions Declining Trend Line (Red): Indicates downward momentum where RSI influence and adaptive smoothing favor continued price decline = Potential sell/short positions Flattening Trend Lines: Occur when momentum weakens and the trend line slope approaches neutral, suggesting potential consolidation before the next move Built-in Alert System: Automated notifications trigger when bullish or bearish states change, sending "RSI Trend Bullish Signal" or "RSI Trend Bearish Signal" messages for timely entry/exit Color Bar Candles Option: Optional candle coloring feature that applies the same green/red trend colors to price bars, providing additional visual confirmation of the current trend direction
Pine Script® Indikator
von QuantAlgo
10
Sequential Pattern Strength [QuantAlgo]🟢 Overview The Sequential Pattern Strength indicator measures the power and sustainability of consecutive price movements by tracking unbroken sequences of up or down closes. It incorporates sequence quality assessment, price extension analysis, and automatic exhaustion detection to help traders identify when strong trends are losing momentum and approaching potential reversal or continuation points. 🟢 How It Works The indicator's key insight lies in its sequential pattern tracking system, where pattern strength is measured by analyzing consecutive price movements and their sustainability: if close > close upSequence := upSequence + 1 downSequence := 0 else if close < close downSequence := downSequence + 1 upSequence := 0 The system calculates sequence quality by measuring how "perfect" the consecutive moves are: perfectMoves = math.max(upSequence, downSequence) totalMoves = math.abs(bar_index - ta.valuewhen(upSequence == 1 or downSequence == 1, bar_index, 0)) sequenceQuality = totalMoves > 0 ? perfectMoves / totalMoves : 1.0 First, it tracks price extension from the sequence starting point: priceExtension = (close - sequenceStartPrice) / sequenceStartPrice * 100 Then, pattern exhaustion is identified when sequences become overextended: isExhausted = math.abs(currentSequence) >= maxSequence or math.abs(priceExtension) > resetThreshold * math.abs(currentSequence) Finally, the pattern strength combines sequence length, quality, and price movement with momentum enhancement: patternStrength = currentSequence * sequenceQuality * (1 + math.abs(priceExtension) / 10) enhancedSignal = patternStrength + momentum * 10 signal = ta.ema(enhancedSignal, smooth) This creates a sequence-based momentum indicator that combines consecutive movement analysis with pattern sustainability assessment, providing traders with both directional signals and exhaustion insights for entry/exit timing. 🟢 Signal Interpretation Positive Values (Above Zero): Sequential pattern strength indicating bullish momentum with consecutive upward price movements and sustained buying pressure = Long/Buy opportunities Negative Values (Below Zero): Sequential pattern strength indicating bearish momentum with consecutive downward price movements and sustained selling pressure = Short/Sell opportunities Zero Line Crosses: Pattern transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts when sequences break Upper Threshold Zone: Area above maximum sequence threshold (2x maxSequence) indicating extremely strong bullish patterns approaching exhaustion levels Lower Threshold Zone: Area below negative threshold (-2x maxSequence) indicating extremely strong bearish patterns approaching exhaustion levels
Pine Script® Indikator
von QuantAlgo
2
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI What this is A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts: • A sensitivity window that scans several recent bars to capture the strongest up and down impulses. • A selectable moving average that smooths those impulses before computing RSI. The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection. How it works Impulse extraction • For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price. • It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise. MA-based averaging • The up and down impulse series are averaged with your chosen MA over rsi_len bars. • Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA. Zero-centered RSI transform • RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) . • Above 0 implies positive momentum bias. Below 0 implies negative momentum bias. Optional extra smoothing • A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”. Visual encoding • The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes. • Static bands mark 80 to 100 and −80 to −100 for extreme conditions. Key inputs and what they change • Price Source : input series for momentum. • Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower. • Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts. • Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower. • Smoothing Type and Length : optional second pass to calm noise on the final output. • UI toggles : show or hide the oscillator, candle painting, and extreme bands. Reading the oscillator • Midline cross up (0) : momentum bias turning positive. • Midline cross down (0) : momentum bias turning negative. • Positive territory : – 0 to 40: constructive but not stretched. – 40 to 80: strong momentum, continuation more likely. – Above 80: extreme risk of mean reversion grows. • Negative territory : mirror the same levels for the downside. Divergence detection The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR . • Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion. • Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up. • Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion. • Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down. Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish. Candle coloring • Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only. Strengths • Adaptive sensitivity via a rolling impulse window that responds to genuine bursts. • Configurable MA core so you can match responsiveness to the instrument. • Zero-centered scale for simple regime reads with 0 as a clear bias line. • Built-in regular and hidden divergence mapping. • Flexible across symbols and timeframes once tuned. Limitations and cautions • Trends can remain extended. Treat extremes as context rather than automatic reversal signals. • Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag. • Double smoothing can delay zero-line transitions. Balance smoothness and timeliness. Practical usage ideas • Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0. • Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends. • Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence. • Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts. Alerts • MA-A RSI Long : oscillator crosses above 0. • MA-A RSI Short : oscillator crosses below 0. Use these as bias or timing aids, not standalone trade commands. Settings quick reference • Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity. • Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing. • UI : Show Oscillator, Paint Candles, Show Static High and Low Levels. • Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences. Final thoughts This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
Pine Script® Indikator
von BackQuant
Machine Learning BBPct [BackQuant]Machine Learning BBPct What this is (in one line) A Bollinger Band %B oscillator enhanced with a simplified K-Nearest Neighbors (KNN) pattern matcher. The model compares today’s context (volatility, momentum, volume, and position inside the bands) to similar situations in recent history and blends that historical consensus back into the raw %B to reduce noise and improve context awareness. It is informational and diagnostic—designed to describe market state, not to sell a trading system. Background: %B in plain terms Bollinger %B measures where price sits inside its dynamic envelope: 0 at the lower band, 1 at the upper band, ~ 0.5 near the basis (the moving average). Readings toward 1 indicate pressure near the envelope’s upper edge (often strength or stretch), while readings toward 0 indicate pressure near the lower edge (often weakness or stretch). Because bands adapt to volatility, %B is naturally comparable across regimes. Why add (simplified) KNN? Classic %B is reactive and can be whippy in fast regimes. The simplified KNN layer builds a “nearest-neighbor memory” of recent market states and asks: “When the market looked like this before, where did %B tend to be next bar?” It then blends that estimate with the current %B. Key ideas: • Feature vector . Each bar is summarized by up to five normalized features:   – %B itself (normalized)   – Band width (volatility proxy)   – Price momentum (ROC)   – Volume momentum (ROC of volume)   – Price position within the bands • Distance metric . Euclidean distance ranks the most similar recent bars. • Prediction . Average the neighbors’ prior %B (lagged to avoid lookahead), inverse-weighted by distance. • Blend . Linearly combine raw %B and KNN-predicted %B with a configurable weight; optional filtering then adapts to confidence. This remains “simplified” KNN: no training/validation split, no KD-trees, no scaling beyond windowed min-max, and no probabilistic calibration. How the script is organized (by input groups) 1) BBPct Settings • Price Source – Which price to evaluate (%B is computed from this). • Calculation Period – Lookback for SMA basis and standard deviation. • Multiplier – Standard deviation width (e.g., 2.0). • Apply Smoothing / Type / Length – Optional smoothing of the %B stream before ML (EMA, RMA, DEMA, TEMA, LINREG, HMA, etc.). Turning this off gives you the raw %B. 2) Thresholds • Overbought/Oversold – Default 0.8 / 0.2 (inside ). • Extreme OB/OS – Stricter zones (e.g., 0.95 / 0.05) to flag stretch conditions. 3) KNN Machine Learning • Enable KNN – Switch between pure %B and hybrid. • K (neighbors) – How many historical analogs to blend (default 8). • Historical Period – Size of the search window for neighbors. • ML Weight – Blend between raw %B and KNN estimate. • Number of Features – Use 2–5 features; higher counts add context but raise the risk of overfitting in short windows. 4) Filtering • Method – None, Adaptive, Kalman-style (first-order), or Hull smoothing. • Strength – How aggressively to smooth. “Adaptive” uses model confidence to modulate its alpha: higher confidence → stronger reliance on the ML estimate. 5) Performance Tracking • Win-rate Period – Simple running score of past signal outcomes based on target/stop/time-out logic (informational, not a robust backtest). • Early Entry Lookback – Horizon for forecasting a potential threshold cross. • Profit Target / Stop Loss – Used only by the internal win-rate heuristic. 6) Self-Optimization • Enable Self-Optimization – Lightweight, rolling comparison of a few canned settings (K = 8/14/21 via simple rules on %B extremes). • Optimization Window & Stability Threshold – Governs how quickly preferred K changes and how sensitive the overfitting alarm is. • Adaptive Thresholds – Adjust the OB/OS lines with volatility regime (ATR ratio), widening in calm markets and tightening in turbulent ones (bounded 0.7–0.9 and 0.1–0.3). 7) UI Settings • Show Table / Zones / ML Prediction / Early Signals – Toggle informational overlays. • Signal Line Width, Candle Painting, Colors – Visual preferences. Step-by-step logic A) Compute %B Basis = SMA(source, len); dev = stdev(source, len) × multiplier; Upper/Lower = Basis ± dev. %B = (price − Lower) / (Upper − Lower). Optional smoothing yields standardBB . B) Build the feature vector All features are min-max normalized over the KNN window so distances are in comparable units. Features include normalized %B, normalized band width, normalized price ROC, normalized volume ROC, and normalized position within bands. You can limit to the first N features (2–5). C) Find nearest neighbors For each bar inside the lookback window, compute the Euclidean distance between current features and that bar’s features. Sort by distance, keep the top K . D) Predict and blend Use inverse-distance weights (with a strong cap for near-zero distances) to average neighbors’ prior %B (lagged by one bar). This becomes the KNN estimate. Blend it with raw %B via the ML weight. A variance of neighbor %B around the prediction becomes an uncertainty proxy ; combined with a stability score (how long parameters remain unchanged), it forms mlConfidence ∈ . The Adaptive filter optionally transforms that confidence into a smoothing coefficient. E) Adaptive thresholds Volatility regime (ATR(14) divided by its 50-bar SMA) nudges OB/OS thresholds wider or narrower within fixed bounds. The aim: comparable extremeness across regimes. F) Early entry heuristic A tiny two-step slope/acceleration probe extrapolates finalBB forward a few bars. If it is on track to cross OB/OS soon (and slope/acceleration agree), it flags an EARLY_BUY/SELL candidate with an internal confidence score. This is explicitly a heuristic—use as an attention cue, not a signal by itself. G) Informational win-rate The script keeps a rolling array of trade outcomes derived from signal transitions + rudimentary exits (target/stop/time). The percentage shown is a rough diagnostic , not a validated backtest. Outputs and visual language • ML Bollinger %B (finalBB) – The main line after KNN blending and optional filtering. • Gradient fill – Greenish tones above 0.5, reddish below, with intensity following distance from the midline. • Adaptive zones – Overbought/oversold and extreme bands; shaded backgrounds appear at extremes. • ML Prediction (dots) – The KNN estimate plotted as faint circles; becomes bright white when confidence > 0.7. • Early arrows – Optional small triangles for approaching OB/OS. • Candle painting – Light green above the midline, light red below (optional). • Info panel – Current value, signal classification, ML confidence, optimized K, stability, volatility regime, adaptive thresholds, overfitting flag, early-entry status, and total signals processed. Signal classification (informational) The indicator does not fire trade commands; it labels state: • STRONG_BUY / STRONG_SELL – finalBB beyond extreme OS/OB thresholds. • BUY / SELL – finalBB beyond adaptive OS/OB. • EARLY_BUY / EARLY_SELL – forecast suggests a near-term cross with decent internal confidence. • NEUTRAL – between adaptive bands. Alerts (what you can automate) • Entering adaptive OB/OS and extreme OB/OS. • Midline cross (0.5). • Overfitting detected (frequent parameter flipping). • Early signals when early confidence > 0.7. These are purely descriptive triggers around the indicator’s state. Practical interpretation • Mean-reversion context – In range markets, adaptive OS/OB with ML smoothing can reduce whipsaws relative to raw %B. • Trend context – In persistent trends, the KNN blend can keep finalBB nearer the mid/upper region during healthy pullbacks if history supports similar contexts. • Regime awareness – Watch the volatility regime and adaptive thresholds. If thresholds compress (high vol), “OB/OS” comes sooner; if thresholds widen (calm), it takes more stretch to flag. • Confidence as a weight – High mlConfidence implies neighbors agree; you may rely more on the ML curve. Low confidence argues for de-emphasizing ML and leaning on raw %B or other tools. • Stability score – Rising stability indicates consistent parameter selection and fewer flips; dropping stability hints at a shifting backdrop. Methodological notes • Normalization uses rolling min-max over the KNN window. This is simple and scale-agnostic but sensitive to outliers; the distance metric will reflect that. • Distance is unweighted Euclidean. If you raise featureCount, you increase dimensionality; consider keeping K larger and lookback ample to avoid sparse-neighbor artifacts. • Lag handling intentionally uses neighbors’ previous %B for prediction to avoid lookahead bias. • Self-optimization is deliberately modest: it only compares a few canned K/threshold choices using simple “did an extreme anticipate movement?” scoring, then enforces a stability regime and an overfitting guard. It is not a grid search or GA. • Kalman option is a first-order recursive filter (fixed gain), not a full state-space estimator. • Hull option derives a dynamic length from 1/strength; it is a convenience smoothing alternative. Limitations and cautions • Non-stationarity – Nearest neighbors from the recent window may not represent the future under structural breaks (policy shifts, liquidity shocks). • Curse of dimensionality – Adding features without sufficient lookback can make genuine neighbors rare. • Overfitting risk – The script includes a crude overfitting detector (frequent parameter flips) and will fall back to defaults when triggered, but this is only a guardrail. • Win-rate display – The internal score is illustrative; it does not constitute a tradable backtest. • Latency vs. smoothness – Smoothing and ML blending reduce noise but add lag; tune to your timeframe and objectives. Tuning guide • Short-term scalping – Lower len (10–14), slightly lower multiplier (1.8–2.0), small K (5–8), featureCount 3–4, Adaptive filter ON, moderate strength. • Swing trading – len (20–30), multiplier ~2.0, K (8–14), featureCount 4–5, Adaptive thresholds ON, filter modest. • Strong trends – Consider higher adaptive_upper/lower bounds (or let volatility regime do it), keep ML weight moderate so raw %B still reflects surges. • Chop – Higher ML weight and stronger Adaptive filtering; accept lag in exchange for fewer false extremes. How to use it responsibly Treat this as a state descriptor and context filter. Pair it with your execution signals (structure breaks, volume footprints, higher-timeframe bias) and risk management. If mlConfidence is low or stability is falling, lean less on the ML line and more on raw %B or external confirmation. Summary Machine Learning BBPct augments a familiar oscillator with a transparent, simplified KNN memory of recent conditions. By blending neighbors’ behavior into %B and adapting thresholds to volatility regime—while exposing confidence, stability, and a plain early-entry heuristic—it provides an informational, probability-minded view of stretch and reversion that you can interpret alongside your own process.
Pine Script® Indikator
von BackQuant
2
TCP | Market Session | Session Analyzer📌 TCP | Market Session Indicator | Crypto Version A powerful, real-time market session visualization tool tailored for crypto traders. Track the heartbeat of Asia, Europe, and US trading hours directly on your chart with live session boxes, behavioral analysis, liquidity grab detection, and countdown timers. Know when the action starts, how the market behaves, and where the traps lie. 🔰 Introduction: Trade the Right Hours with the Right Tools Time matters in trading. Most significant moves happen during key sessions—and knowing when and how each session unfolds can give you a sharp edge. The TCP Market Session Indicator, developed by Trade City Pro (TCP), puts professional session tracking and behavioral insights at your fingertips. Whether you're a scalper or swing trader, this indicator gives you the timing context to enter and exit trades with greater confidence and clarity. 🕒 Core Features • Live Session Boxes : Highlight active ranges during Asia, Europe, and US sessions with dynamic high/low updates. • Session Start/End Labels : Know exactly when each session begins and ends plotted clearly on your chart with context. • Session Behavior Analysis : At the end of each session, the indicator classifies the price action as: - Trend Up - Trend Down - Consolidation - Manipulation • Liquidity Grab Detection: Automatically detects possible stop hunts (fake breakouts) and marks them on the chart with precision filters (volume, ATR, reversal). • Session Countdown Table: A live dashboard showing: - Current active session - Time left in session - Upcoming session and how many minutes until it starts - Utility time converter (e.g. 90 min = 01:30) • Vertical Session Lines: Visualize past and upcoming session boundaries with customizable history and future range. • Multi-Day Support: Draw session ranges for previous, current, and future days for better backtesting and forecasting. ⚙️ Settings Panel Customize everything to fit your trading style and schedule: • Session Time Settings: Set the opening and closing time for each session manually using UTC-based minute inputs. → For example, enter Asia Start: 0, Asia End: 480 for 00:00–08:00 UTC. This gives full flexibility to adjust session hours to match your preferred market behavior. • Enable or Disable Elements: Toggle the visibility of each session (Asia, Europe, US), as well as: - Session Boxes - Countdown Table - Session Lines - Liquidity Grab Labels • Timezone Selection: Choose between using UTC or your chart’s local timezone for session calculations. • Customization Options: Select number of past and future days to draw session data Adjust vertical line transparency Fine-tune label offset and spacing for clean layout 📊 Smart Session Boxes Each session box tracks high, low, open, and close in real time, providing visual clarity on market structure. Once a session ends, the box closes, and the behavior type is saved and labeled ideal for spotting patterns across sessions. • Asia: Green Box • Europe: Orange Box • US: Blue Box 💡 Why Use This Tool? • Perfect Timing: Don’t get chopped in low-liquidity hours. Focus on sessions where volume and volatility align. • Pattern Recognition: Study how price behaves session-to-session to build better strategies. • Trap Detection: Spot manipulation moves (liquidity grabs) early and avoid common retail pitfalls. • Macro Session Mapping: Use as a foundational layer to align trades with market structure and news cycles. 🔍 Example Use Case You're watching BTC at 12:45 UTC. The indicator tells you: The Asia session just ended (label shows “Asia Session End: Trend Up”) Europe session starts in 15 minutes A liquidity grab just triggered at the previous high—label confirmed Now you know who’s active, what the market just did, and what’s about to start—all in one glance. ✅ Why Traders Trust It • Visual & Intuitive: Fully chart-based, no clutter, no guessing • Crypto-Focused: Designed specifically for 24/7 crypto markets (not outdated forex models) • Non-Repainting: All labels and boxes stay as printed—no tricks • Reliable: Tested across multiple exchanges, pairs, and timeframes 🧩 Built by Trade City Pro (TCP) The TCP Market Session Indicator is part of a suite of professional tools used by over 150,000 traders. It’s coded in Pine Script v6 for full compatibility with TradingView’s latest capabilities. 🔗 Resources • Tutorial: Learn how to analyze sessions like a pro in our TradingView guide: "TradeCityPro Academy: Session Mapping & Liquidity Traps" • More Tools: Explore our full library of indicators on
Pine Script® Indikator
von tradecitypro
45
Cumulative Volume Delta (SB-1) 2.0 📈 Cumulative Volume Delta (CVD) — Stair-Step + Threshold Alerts 🔍 Overview This Cumulative Volume Delta (CVD) tool visualizes aggressive buying and selling pressure in the market by plotting candlestick-style bars based on volume delta. It helps traders understand which side — buyers or sellers — is exerting more control on lower timeframes and highlights momentum shifts through stair-step patterns and delta threshold breaks. Resets to zero at EOD Ideal for futures traders, scalpers, and intraday strategists looking for orderflow-based confirmation. 🧠 What Is CVD? CVD (Cumulative Volume Delta) measures the difference between market buys and sells over a specific timeframe. When the delta is rising, it suggests buyers are being more aggressive. Falling delta suggests seller dominance. This script aggregates volume delta from a lower timeframe and plots it in a higher timeframe context, allowing you to track microstructure shifts within larger candles. 📊 Features ✅ CVD Candlesticks Each bar represents volume delta as an OHLC-style candle using: Open: Delta at the start of the bar High/Low: Peak delta range Close: Final delta value at bar close Teal candles = Net buying pressure Red candles = Net selling pressure ✅ Threshold Levels (Key Visual Zones) The script includes horizontal dashed lines at: +5,000 and +10,000 → Signify strong buying pressure -5,000 and -10,000 → Signify strong selling pressure 0 line → Neutrality line (no net pressure) These levels act as volume-based support/resistance zones and breakout confirmation tools. For example: A CVD cross above +5,000 shows buyers taking control A CVD cross above +10,000 implies strong bullish momentum A CVD cross below -5,000 or -10,000 signals intense selling pressure 📈 Stair-Step Pattern Detection Detects two specific volume-based continuation setups: Bullish Stair-Step: Both the high and low of the CVD candle are higher than the previous candle Bearish Stair-Step: Both the high and low of the CVD candle are lower than the previous candle These patterns often appear during trending moves and serve as confirmation of strength or continuation. Visual markers: 🟢 Green triangles below bars = Bullish stair-step 🔴 Red triangles above bars = Bearish stair-step 🔔 Alert Conditions Get real-time alerts when: Bullish Stair-Step is detected Bearish Stair-Step is detected CVD crosses above +5,000 CVD crosses below -5,000 📢 Alerts only trigger on crossover, not every time CVD remains above or below. This avoids repetitive notifications. ⚙️ Inputs & Customization Anchor Timeframe: The higher timeframe to which CVD data is applied (default: 1D) Lower Timeframe: The timeframe used to calculate the CVD delta (default: 5 minutes) Optional Override: Use custom timeframe toggle to force your own micro timeframe 📌 How to Use This CVD Indicator (Step-by-Step Guide) ✅ 1. Confirm Bias Using the Zero Line The zero line (0 CVD) represents neutral pressure — neither buyers nor sellers are dominating. Use it as your first filter: 🔼 If CVD is above 0 and rising → Buyer control 🔽 If CVD is below 0 and falling → Seller control 🧠 Tip: CVD rising while price is consolidating may signal hidden buyer interest. ✅ 2. Watch for Crosses of Key Levels: +5,000 and +10,000 These levels act as momentum thresholds: Level Signal Type What It Means +5,000 Buyer breakout Buyers are starting to dominate +10,000 Strong bull bias Strong institutional or algorithmic buying flow -5,000 Seller breakout Sellers are taking control -10,000 Strong bear bias Heavy selling pressure is entering the market Wait for CVD to cross above +5K or below -5K to confirm the active side. Use these crossovers as entry triggers, breakout confirmations, or trade filters. 🔔 Alerts fire only when the level is first crossed, not every bar above/below. ✅ 3. Use Stair-Step Patterns for Continuation Confirmation The indicator shows stair-step patterns using triangle signals: 🟢 Green triangle below bar = Bullish stair-step Suggests a higher high and higher low in delta → buyers stepping up 🔴 Red triangle above bar = Bearish stair-step Suggests lower highs and lower lows in delta → selling pressure building Use stair-step signals: To confirm a continuation of trend As an entry or add-on signal Especially after a threshold breakout 🧠 Example: If CVD breaks above +5K and forms bullish stairs → confirms strong trend, ideal for momentum entries. ✅ 4. Combine with Price Action or Structure CVD works best when used with price, not in isolation. For example: 📉 Price makes a new low but CVD doesn’t → potential bullish divergence 📈 CVD surges while price lags → buyers are absorbing, breakout likely Use it with: VWAP Orderblocks Liquidity sweeps Break of market structure/MSS/BOS ✅ 5. Set Anchor Timeframe = Daily Set Lower Timeframe = 5 minutes (default) This lets you: See intraday flow inside daily bars Confirm whether a daily candle is being built on net buying or selling 🧠 You’re essentially seeing intra-bar aggression within a bigger time structure. 🧭 Example Trading Setup Bullish Scenario: CVD is rising and above 0 CVD crosses above +5,000 → alert fires Green stair-step appears Price breaks local resistance or liquidity sweep completes ✅ Consider long entry with structure and CVD alignment 🎯 Place stops below last stair-step or structural low 📌 Final Notes This tool does not repaint and is designed to work in real-time across all futures, crypto, and equity instruments that support volume data. If your symbol does not provide volume, the script will notify you. Use it in confluence with VWAP, liquidity zones, or structure breaks for high-confidence trades.
Pine Script® Indikator
von samb817
Time-Price Velocity [QuantAlgo]🟢 Overview The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions. This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula: velocity = priceChange / timeWeight The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings: normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0 where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period. The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time: acceleration = normalizedVelocity - normalizedVelocity Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness: signal = ta.ema(normalizedVelocity, smooth) This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point 2. Acceleration Analysis and Visual Features Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators 3. Additional Features: Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities Alert System: Built-in alerts for threshold crossovers and direction changes 🟢 Examples with Preconfigured Settings Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis. Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities. Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
Pine Script® Indikator
von QuantAlgo
5
ATR Dynamic Stop (Table + Plot + ATR %)📊 This script displays dynamic stop levels based on ATR, designed for active traders. Features: - Shows long and short stop levels (price ± ATR × multiplier). - Displays values as a floating table on the top-right corner. - Optional plot lines directly on the chart. - Option to calculate based on realtime price or last close. - Displays the ATR value both in price units and as a percentage of the selected price. - Fully customizable table: text size, text color, background color. Inputs: - ATR Multiplier and Length. - Show/hide stop lines on the chart. - Select price source (realtime or last close). - Table appearance options. Ideal for: - Traders who want a clear visual stop guide. - Combining volatility with risk management.
Pine Script® Indikator
von avitawill
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions. The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability. The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period. The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation 2. Momentum Confirmation and Visual Analysis Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions 3. Examples: Preconfigured Settings Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes. Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts. Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts. Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes. Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Pine Script® Indikator
von QuantAlgo
16
Strategy Builder With IndicatorsThis strategy script is designed for traders who enjoy building systems using multiple indicators. Please note: This script does not include any built-in indicators. Instead, it works by referencing the plot outputs of the indicators you’ve already added to your chart. For example, if you add a MACD and an ATR indicator to your chart, you can assign their plot values as inputs in the settings panel of this strategy. • MACD as a trigger • ATR as a filter How Filters Work Filters check whether certain conditions are met before a trade can be opened. For instance, if you set a filter like ATR > 30, then no trade will be executed unless that condition is true — even if the trigger fires. All filters are linked, meaning every active filter must be satisfied for a trade to occur. How Triggers Work Triggers are what actually fire a trade signal — such as a moving average crossover or RSI breaking above a specific level. Unlike filters, triggers are independent. Only one active trigger needs to be true for the trade to execute. Thanks to its modular structure, this strategy can be used with any indicator of your choice. ⸻ Risk Management Features In the settings, you’ll find flexible options for: • Stop Loss (SL) • Trailing Stop Loss (TSL) • Multi Take-Profit (TP) These features enhance trade safety and let you tailor your risk management. SL types available: • Tick-based SL • Percent-based SL • ATR-based SL Once you select your preferred SL type, you can fine-tune its distance using the offset field. Trailing SL allows your stop to follow price as it moves in your favor — helping to lock in profits. Multi-TP lets you take profits at two different levels, helping you secure gains while leaving room for extended moves. Breakeven option is also available to automatically move your SL to entry after reaching a profit threshold. ⸻ How to Build a Solid Strategy Let’s break down a good setup into three key components: 1. Trend Filter Avoid trading against the trend — that’s like swimming against the current. Use a filter like: • Supertrend • Momentum indicators • Candlestick bias, etc. Example: In this case, I used Supertrend and filtered for trades only if the price is above the uptrend line. 2. Trigger Condition Once we confirm the trend is on our side, we need a trigger to execute at the right moment. This can be: • RSI cross • Candlestick patterns • Trendline breaks • Moving average crossovers, etc. Example: I used RSI crossing above 50 as the entry trigger. 3. Risk Management Even in the right trend at the right time — anything can happen. That’s why you should always define Stop Loss and Take Profit levels. ⸻ And there you have it! Your strategy is ready to backtest, refine, and deploy with alerts for live trading. Questions or suggestions? Feel free to reach out
Pine Script® Strategie
von Milvetti
1
TCP | Money Management indicator | Crypto Version📌 TCP | Money Management Indicator | Crypto Version A robust, multi-target risk and capital management indicator tailored for crypto traders. Whether you're trading spot, perpetual futures, or leverage tokens, this tool empowers you with precise control over risk, reward, and position sizing—directly on your chart. Eliminate guesswork and trade with confidence. 🔰 Introduction: Master Your Capital, Master Your Trades Poor money management is the number one reason traders lose their accounts, even with solid strategies. The TCP Money Management Indicator, built by Trade City Pro (TCP), solves this problem by providing a structured, rule-based approach to capital allocation. Want to dive deeper into the concept of money management? Check out our comprehensive tutorial on TradingView, " TradeCityPro Academy: Money Management ", to understand the principles that power this indicator and transform your trading mindset. This indicator equips you to: • Calculate optimal position sizes based on your capital, risk percentage, and leverage • Set up to 5 customizable take-profit targets with partial close percentages • Access real-time metrics like Risk-to-Reward (R/R), USD profit, and margin usage • Trade with discipline, avoiding emotional or inconsistent decisions 💸 Money Management Formula The indicator uses a professional capital allocation model: Position Size = (Capital × Risk %) ÷ (Stop Loss % × Leverage) From this, it calculates: • Total risk amount in USD • Optimal position size for your trade • Margin required for each take-profit target • Adjusted R/R for each target, accounting for partial position closures 🛠 How to Use Enter Trade Parameters: Input your capital, risk %, leverage, entry price, and stop-loss price. Set Take-Profit Targets: Enable 1 to 5 take-profit levels and specify the percentage of the position to close at each. Real-Time Calculations: The indicator automatically computes: • R/R ratio for each target • Profit in USD for each partial close • Margin used per target (in % and USD) Visualize Your Trade: • Price levels for entry, stop-loss, and take-profits are plotted on the chart. • A dynamic info panel on the left side displays all key metrics. 🔄 Dynamic Adjustments: As each take-profit target is hit and a portion of the position is closed, the indicator recalculates the remaining position size, expected profit, R/R, and margin for subsequent targets. This ensures accuracy and reflects real-world trade behavior. 📊 Table Overview The left-side panel provides a clear snapshot: • Trade Setup: Capital, entry price, stop-loss, risk amount, and position size • Per Target: Percentage closed, R/R, profit in USD, and margin used • Summary: Total expected profit across all targets ⚙️ Settings Panel • Total Capital ($): Your account size for the trade • Risk per Trade (%): The percentage of capital you’re willing to risk • Leverage: The leverage applied to the trade • Entry/Stop-Loss Prices: Define your trade’s risk zone • Take-Profit Targets (1–5): Set price levels and percentage to close at each 🔍 Use Case Example Imagine you have $1,000 capital, risking 1%, using 10x leverage: • Entry: $100 | Stop-Loss: $95 • TP1: $110 (close 50%) | TP2: $115 (close 50%) The indicator calculates the exact position size, profit at each target, and margin allocation in real time, with all metrics displayed on the chart. ✅ Why Traders Love It • Precision: No more manual calculations or guesswork • Versatility: Works on all crypto pairs (BTC, ETH, altcoins, etc.) • Flexibility: Perfect for scalping, swing trading, or futures strategies • Universal: Compatible with all timeframes • Transparency: Fully manual, with clear and reliable outputs 🧩 Built by Trade City Pro (TCP) Developed by TCP, a trusted name in trading tools, used by over 150,000 traders worldwide. This indicator is coded in Pine Script v5, ensuring compatibility with TradingView’s platform. 🧾 Final Notes • No Auto-Trading: This is a manual tool for disciplined traders • No Repainting: All calculations are accurate and non-repainting • Tested: Rigorously validated across major crypto pairs • Publish-Ready: Built for seamless use on TradingView 🔗 Resources • Money Management Tutorial: Learn the fundamentals of capital management with our detailed guide: TradeCityPro Academy: Money Management • TradingView Profile: Explore more tools by TCP on TradingView
Pine Script® Indikator
von tradecitypro
27
SBC ProtfoSBC Portfo PNL Indicator Description The SBC Portfo PNL Indicator is a user-friendly tool designed for Hebrew-speaking traders to track the Profit and Loss (PNL) of their stock portfolios on TradingView charts. It supports up to 5 distinct portfolios, each capable of holding an unlimited number of stocks with unlimited buy commands, allowing real-time monitoring of portfolio performance. Key Features - Multi-Portfolio Support: Track up to 5 separate portfolios for different trading strategies or accounts. - Unlimited Stock Entries: Add unlimited stocks and buy commands per portfolio. - Detailed Buy Commands: Input for each stock: - Stock Ticker (e.g., AAPL, TSLA). - Buy Price (e.g., 150.25). - Buy Amount (e.g., 10). - Hebrew-Friendly Interface: Intuitive settings dialog with clear instructions in Hebrew. - Customizable PNL Tracking: Visualize PNL on charts with real-time updates based on market data. How to Use 1. Add the Indicator: - Go to the Indicators menu in TradingView and add the "SBC Portfo" PNL Indicator. 2. Configure Portfolios: - Open the indicator’s settings dialog. - For each portfolio (up to 5), enter data in the provided input fields using this format: PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount Example: Portfolio1:AAPL:150.25x10;TSLA:266.72x5 - This represents a portfolio named "Portfolio1" with: - 10 shares of AAPL bought at $150.25. - 5 shares of TSLA bought at $266.72. - Repeat for additional portfolios (e.g., Portfolio2, Portfolio3). - Add multiple buy commands for the same stock if needed (e.g., AAPL:160.50x20). 3. Apply Settings: - Save settings to display PNL based on current market prices. 4. Monitor PNL: - View PNL for each portfolio on the chart via tables, labels, or graphical overlays (based on settings). Input Format Enter portfolio data manually in the settings dialog, one input field per portfolio: PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount - PortfolioName: Unique name (e.g., Portfolio1, Growth). - StockTicker: Stock symbol (e.g., AAPL). - BuyPrice: Purchase price per share (e.g., 150.25). - BuyAmount: Number of shares (e.g., 10). - Use : to separate portfolio name, ticker, and buy data x to separate price and amount ; for multiple stocks in the portfolio Example: - Portfolio 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5 - Portfolio 2: DividendPortfolio:KO:55.20x50;PG:145.30x30 Notes - Hebrew Support: Settings and labels are optimized for Hebrew users. - Manual Input: Enter portfolio data manually in the settings dialog using the correct format. - Compatibility: Works with any stock ticker supported by TradingView. תיאור אינדיקטור SBC Portfo PNL הוא כלי ידידותי למשתמש שתוכנן במיוחד עבור סוחרים דוברי עברית למעקב אחר רווח והפסד (PNL) של תיקי המניות שלהם ישירות בגרפים של TradingView. הוא תומך בעד 5 תיקים נפרדים, כאשר כל תיק יכול להכיל מספר בלתי מוגבל של מניות עם פקודות קנייה בלתי מוגבלות, ומאפשר מעקב בזמן אמת אחר ביצועי התיק. תכונות עיקריות - תמיכה בריבוי תיקים: מעקב אחר עד 5 תיקים נפרדים עבור אסטרטגיות מסחר או חשבונות שונים. - רישום מניות ללא הגבלה: הוספת מספר בלתי מוגבל של מניות ופקודות קנייה לכל תיק. - פקודות קנייה מפורטות: הזנת נתונים עבור כל מניה: - סימול המניה (למשל, AAPL, TSLA). - מחיר קנייה (למשל, 150.25). - כמות קנייה (למשל, 10). - ממשק ידידותי לעברית: חלונית הגדרות אינטואיטיבית עם הוראות ברורות בעברית. - מעקב PNL הניתן להתאמה: הצגת רווח והפסד בגרפים עם עדכונים בזמן אמת בהתבסס על נתוני השוק. כיצד להשתמש 1. הוספת האינדיקטור: - נווט לתפריט האינדיקטורים ב-TradingView והוסף את "SBC Portfo PNL Indicator". 2. הגדרת תיקים: - פתח את חלונית ההגדרות של האינדיקטור. - עבור כל תיק (עד 5), הזן נתונים בשדות המסופקים בפורמט הבא: PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount לדוגמה: Portfolio1:AAPL:150.25x10;TSLA:266.72x5 שורה זו מייצגת תיק בשם "Portfolio1" עם: - 10 מניות של AAPL שנקנו ב-$150.25. - 5 מניות של TSLA שנקנו ב-$266.72. - חזור על התהליך עבור תיקים נוספים (למשל, Portfolio2, Portfolio3). - ניתן להוסיף פקודות קנייה מרובות לאותה מניה לפי הצורך (למשל, AAPL:160.50x20). 3. החלת ההגדרות: - שמור את ההגדרות להצגת ה-PNL בהתבסס על מחירי השוק הנוכחיים. 4. מעקב אחר PNL: - צפה ב-PNL עבור כל תיק בגרף באמצעות טבלאות, תוויות או שכבות גרפיות (בהתאם להגדרות). פורמט קלט הזן נתוני תיק ידנית בחלונית ההגדרות, שדה קלט אחד לכל תיק: PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount PortfolioName: שם ייחודי (למשל, Portfolio1, Growth). StockTicker: סימול המניה (למשל, AAPL). BuyPrice: מחיר רכישה למניה (למשל, 150.25). BuyAmount: מספר המניות (למשל, 10). השתמש ב- : להפרדה בין שם התיק, סימול ונתוני קנייה x להפרדה בין מחיר וכמות ; להפרדה בין מניות מרובות דוגמה: - תיק 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5 - תיק 2: DividendPortfolio:KO:55.20x50;PG:145.30x30 Release Notes Version 1.1 includes: - Calculations for extended hours (Pre-Market & After-Hours). - Option to display portfolio summary data for stocks not in the portfolio (enable via settings checkbox). - Table background for better visibility; click to bring table to the front. - Updated text strings (names, titles, tooltips). הערות תמיכה בעברית: ההגדרות והתוויות מותאמות למשתמשים דוברי עברית. הזנה ידנית: הזן נתוני תיק ידנית בחלונית ההגדרות תוך שימוש בפורמט הנכון. תאימות: עובד עם כל סימול מניה הנתמך על ידי TradingView. גרסה 1.1 מכילה: 1. חישובים כוללים שעות מסחר מורחבות (Pre-Market ו-After-Hours). 2. אפשרות להציג נתוני תיק כוללים עבור מניות שאינן בתיק (הפעל באמצעות תיבת סימון בהגדרות). 3. צבע רקע לטבלה לשיפור הנראות; לחיצה על הטבלה מביאה אותה לחזית. 4. תיקון נוסחים (שמות, כותרות, וטולטיפים).
Pine Script® Indikator
von shay_private
Major Session Highs/LowsThis indicator creates horizontal lines at major session high/lows (US, London, and Asian). The script updates the lines automatically, on session close. For instance, when viewing during the US session, after the London overlap, horizontal lines will be displayed at the following levels. The high/low of the most recent London session. The high/low of the most recent Asian session. The high/low of the last full US session, i.e. the session of the day prior. When the current US session closes, the US levels automatically update.
Pine Script® Indikator
von chicanodatascientist
1
Zweig Market Breadth Thrust Indicator+Trigger [LazyBear x rwak]The Breadth Thrust (BT) indicator is a market momentum indicator developed by Dr. Martin Zweig. According to Dr. Zweig, a Breadth Thrust occurs when, during a 10-day period, the Breadth Thrust indicator rises from below 40 percent to above 61.5 percent. A "Thrust" indicates that the stock market has rapidly changed from an oversold condition to one of strength, but has not yet become overbought. This is very rare and has happened only a few times. Dr. Zweig also points out that most bull markets begin with a Breadth Thrust. This version of the Breadth Thrust indicator includes a trigger visualized with red circles, making it easier to spot when the indicator crosses the critical 61.5% level, signaling potential bullish momentum. All parameters are configurable. You can draw BT for NYSE, NASDAQ, AMEX, or based on combined data (i.e., AMEX+NYSE+NASD). There is also a "CUSTOM" mode supported, so you can enter your own ADV/DEC symbols. Credit: The original Breadth Thrust logic was created by LazyBear, whose public indicators can be found here , and app-store indicators here . More info: Definition of Breadth Thrust A Breadth Thrust Signal A Rare "Zweig" Buy Signal Zweig Breadth Thrust: Redux
Pine Script® Indikator
von rwak