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BTCUSD Dual Thrust (1H)BTCUSD Dual Thrust (1H) — Indicator Overview The Dual Thrust is a classic breakout-type strategy designed to capture strong directional moves when markets show imbalance between buyers and sellers. This indicator adapts the method specifically for BTCUSD on the 1-Hour timeframe, showing dynamic Buy/Sell trigger levels and live signals. Origin The Dual Thrust system was originally introduced by Michael Vitucci and has been widely used in futures and high-volatility markets. It was designed as a day-trading breakout framework, where daily high/low and close data define the range for the next session’s trade triggers. How it Works Each new day, the indicator calculates a “breakout range” using daily price data. Two trigger levels are projected from the daily open: Buy Trigger: Open + Range × KUp Sell Trigger: Open - Range × KDn Range can be built from either: Classic Dual Thrust formula: max(High - Close , Close - Low) over a lookback period, or ATR-based range: for volatility-adaptive signals. A LONG signal fires when price crosses above the Buy Trigger. An EXIT signal fires when price crosses below the Sell Trigger. Buy/Sell lines step forward across each intraday bar until recalculated at the next daily open. Practical Use Optimized for BTCUSD 1-Hour charts (crypto’s volatility provides stronger follow-through). Use the Buy/Sell levels as dynamic breakout lines or as confluence with your own setups. Alerts are built in, so you can receive notifications when a LONG or EXIT condition triggers. Designed as an indicator only (not a backtest strategy). Key Features ✅ Daily Buy/Sell trigger lines auto-calculated and forward-filled ✅ LONG / EXIT labels on signals ✅ Optional ATR mode for volatility regimes ✅ Optional bar coloring for easy visual scanning ✅ Alerts ready for live monitoring ⚡️ Tip: While this indicator highlights breakout opportunities, effectiveness can improve when combined with trend filters (e.g., 200-SMA) or when aligned with higher timeframe supply/demand zones.
Indicador Pine Script®
por Loganscottfx
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
Indicador Pine Script®
por QuantAlgo
10
Linear Regression Trend Navigator [QuantAlgo]🟢 Overview The Linear Regression Trend Navigator is a trend-following indicator that combines statistical regression analysis with adaptive volatility bands to identify and track dominant market trends. It employs linear regression mathematics to establish the underlying trend direction, while dynamically adjusting trend boundaries based on standard deviation calculations to filter market noise and maintain trend continuity. The result is a straightforward visual system where green indicates bullish conditions favoring buy/long positions, and red signals bearish conditions supporting sell/short trades. 🟢 How It Works The indicator operates through a three-phase computational process that transforms raw price data into adaptive trend signals. In the first phase, it calculates a linear regression line over the specified period, establishing the mathematical best-fit line through recent price action to determine the underlying directional bias. This regression line serves as the foundation for trend analysis by smoothing out short-term price variations while preserving the essential directional characteristics. The second phase constructs dynamic volatility boundaries by calculating the standard deviation of price movements over the defined period and applying a user-adjustable multiplier. These upper and lower bounds create a volatility-adjusted channel around the regression line, with wider bands during volatile periods and tighter bands during stable conditions. This adaptive boundary system operates entirely behind the scenes, ensuring the trend signal remains relevant across different market volatility regimes without cluttering the visual display. In the final phase, the system generates a simple trend line that dynamically positions itself within the volatility boundaries. When price action pushes the regression line above the upper bound, the trend line adjusts to the upper boundary level. Conversely, when the regression line falls below the lower bound, the trend line moves to the lower boundary. The result is a single colored line that transitions between green (rising trend line = buy/long) and red (declining trend line = sell/short). 🟢 How to Use Green Trend Line: Upward momentum indicating favorable conditions for long positions, buy signals, and bullish strategies Red Trend Line: Downward momentum signaling optimal timing for short positions, sell signals, and bearish approaches Rising Green Line: Accelerating bullish momentum with steepening angles indicating strengthening upward pressure and potential for trend continuation Declining Red Line: Intensifying bearish momentum with increasing negative slopes suggesting persistent downward pressure and shorting opportunities Flattening Trend Lines: Gradual reduction in slope regardless of color may indicate approaching consolidation or momentum exhaustion requiring position review 🟢 Pro Tips for Trading and Investing → Entry/Exit Timing: Trade exclusively on band color transitions rather than price patterns, as each color change represents a statistically-confirmed shift that has passed through volatility filtering, providing higher probability setups than traditional technical analysis. → Parameter Optimization for Asset Classes: Customize the linear regression period based on your trading style. For example, use 5-10 bars for day trading to capture short-term statistical shifts, 14-20 for swing trading to balance responsiveness with stability, and 25-50 for position trading to filter out medium-term noise. → Volatility Calibration Strategy: Adjust the standard deviation multiplier according to market volatility. For instance, increase to 2.0+ during high-volatility periods like earnings or news events to reduce false signals, decrease to 1.0-1.5 during stable market conditions to maintain sensitivity to genuine trends. → Cross-Timeframe Statistical Validation: Apply the indicator across multiple timeframes simultaneously, using higher timeframes for directional bias and lower timeframes for entry timing. → Alert-Based Systematic Trading: Use built-in alerts to eliminate discretionary decision-making and ensure you capture every statistically-significant trend change, particularly effective for traders who cannot monitor charts continuously. → Risk Allocation Based on Signal Strength: Increase position sizes during periods of strong directional movement while reducing exposure during frequent band color changes that indicate statistical uncertainty or ranging conditions.
Indicador Pine Script®
por QuantAlgo
Global Index EMA QuadrantsThis indicator displays global market indices on a 2D quadrant matrix based on their percentage distance from a selected EMA length across two different timeframes. Features • X-axis: % distance from EMA on a higher timeframe (default Weekly) • Y-axis: % distance from EMA on a lower timeframe (default Daily) • Bubble colors represent quadrants • Count labels show how many indices are in each quadrant How to Use Select your preferred X timeframe, Y timeframe, and EMA length from the settings panel. Analyze which quadrant each index is currently in to assess market momentum and breadth. The zero axes represent the EMA level on each timeframe. Notes • This indicator uses only built-in request.security() data from TradingView • No external APIs, personal data, or third-party content are used • Designed purely for educational and market breadth analysis purposes
Indicador Pine Script®
por Nungz
Spiderlines BTCUSD - daily/weekly📘 Documentation – Daily and Weekly Spider Lines for Bitcoin 🔹 Purpose of the Script This script draws dynamic “Spider Lines” in the Bitcoin chart. The lines connect certain historical candles with a reference candle and extend to the right. These act as guideline levels that can serve as potential support or resistance zones. 🔹 How It Works The script operates in two modes, depending on the active chart timeframe: Weekly Mode (timeframe.isweekly) The reference date is July 1, 2019. The number of weeks since that date is calculated. This defines the connection candle (connection_candle). Several predefined offsets (e.g., +32, +34, +36 …) are added to the reference to determine starting candles. Lines are drawn from these candles toward the connection candle. → Line color: green Daily Mode (timeframe.isdaily) Same reference date: July 1, 2019. The number of days since that date is calculated. Again, a connection candle is set. A different set of offsets (e.g., +224, +238, +252 …) defines the starting candles. Lines are drawn accordingly. → Line color: red 🔹 Line Logic Each line connects: Start → bar_index at high End → bar_index at close Lines are extended indefinitely to the right (extend.right). Appearance: dashed style, width 2. 🔹 Error Handling If a calculated candle index does not exist in the chart history (e.g., chart data does not go back far enough), a label is plotted in the chart showing the message: "Daily idx out of range: 252" This way, missing lines can be diagnosed easily. 🔹 Color Convention Weekly Spider Lines → Green Daily Spider Lines → Red 🔹 Use Cases Visualization of historical cyclic line patterns. Helps in technical chart analysis: spotting potential reaction zones in price movement. Designed mainly for long-term traders and analysts observing Bitcoin in Daily or Weekly timeframes. 🔹 Limitations Works only on Daily and Weekly charts. Requires chart data going back to July 1, 2019. Based purely on fixed offsets → not a classical indicator like Moving Averages or RSI.
Indicador Pine Script®
por osterhansi_
Long-Term Trend & Valuation Model [Backquant]Long-Term Trend & Valuation Model Invite-only. A universal long-term valuation strategy and trend model built to work across markets, with an emphasis on crypto where cycles and volatility are large. Intended primarily for the 1D timeframe. Inputs should be adjusted per asset to reflect its structure and volatility. If you would like to checkout the simplified and open source valuation, check out: What this is A two-layer framework that answers two different questions. • The Valuation Engine asks “how extended is price relative to its own long-term regime” and outputs a centered oscillator that moves positive in supportive conditions and negative in deteriorating conditions. • The Trend Model asks “is the market actually trending in a sustained direction” and converts several independent subsystems into a single composite score. The combination lets you separate “where we are in the cycle” from “what to do about it” so allocation and timing can be handled with fewer conflicts. Design philosophy Crypto and many risk assets move in multi-month expansions and contractions. Short tools flip often and can be misleading near regime boundaries. This model favors slower, high-confidence information, then summarizes it in simple visuals and alerts. It is not trying to catch every swing. It is built to help you participate in the meat of long uptrends, de-risk during deteriorations, and identify stretched conditions that deserve caution or patience. Valuation Engine, high level The Valuation Engine blends several slow signals into one measure. Exact transforms, windows, and weights are private, but the categories below describe the intent. Each input is standardized so unlike units can be combined without one dominating. Momentum quality — favors persistent, orderly advances over erratic spikes. Helps distinguish trend continuation from noise. Mean-reversion pressure — detects when price is far from a long anchor or when oscillators are pulling back toward equilibrium. Risk-adjusted return — long-window reward to variability. Encourages time in market when advances are efficient rather than merely fast. Volume imbalance — summarizes whether activity is expanding with advances or with declines, using a slow envelope to avoid day-to-day churn. Trend distance — expresses how stretched price is from a structural baseline rather than from a short moving average. Price normalization — a long z-score of price to keep extremes comparable across cycles and symbols. How the Valuation Engine is shaped Standardization — components are put on comparable scales over long windows. Composite blend — standardized parts are combined into one reading with protective weighting. No single family can override the rest on its own. Smoothing — optional moving average smoothing to reduce whipsaw around zero or around the bands. Bounded scaling — the composite is compressed into a stable, interpretable range so the mid zone and extremes are visually consistent. This reduces the effect of outliers without hiding genuine stress. Volatility-aware re-expansion — after compression, the series is allowed to swing wider in high-volatility regimes so “overbought” and “oversold” remain meaningful when conditions change. Thresholds — fixed OB/OS levels or dynamic bands that float with recent dispersion. Dynamic bands use k times a rolling standard deviation. Fixed bands are simple and comparable across charts. How to read the Valuation Oscillator Above zero suggests a supportive backdrop. Rising and positive often aligns with uptrends that are gaining participation. Below zero suggests deterioration or risk aversion. Falling and negative often aligns with distribution or with trend exhaustion. Touches of the upper band show stretch on the optimistic side. Repeated tags without breakdown often occur late in cycles, especially in crypto. Touches of the lower band show stretch on the pessimistic side. They are common in washouts and early bases. Visual elements Valuation Oscillator — colored by sign for instant context. OB/OS guides — fixed or dynamic bands. Background and bar colors — optional, tied to the sign of valuation for quick scans. Summary table — optional, shows the standardized contribution of the major categories and the final composite score with a simple status icon. Trend Model, composite scoring The trend side aggregates several independent subsystems. Each subsystem issues a vote: long, short, or neutral. Votes are averaged into a composite score. The exact logic of each subsystem is intentionally abstracted. The families below describe roles, not formulas. Long-horizon price state — checks where price sits relative to multiple structural baselines and whether those baselines are aligned. Macro regime checks — favors sustained risk-on behavior and penalizes persistent deterioration in breadth or volatility structure. Ultimate confirmation — a conservative filter that only votes when directional evidence is persistent. Minimalist sanity checks — keep the model responsive to obvious extremes and prevent “stuck neutral” states. Higher timeframe or overlay inputs — optional votes that consider slower contexts or relative strength to stabilize borderline periods. You define two cutoffs for the composite: above the long threshold the state is Long , below the short threshold the state is Short , in between is Cash/Neutral . The script paints a signal line on price for an at-a-glance view and provides alerts when the composite crosses your thresholds. How it can be used Cycle framing in crypto — use deep negative valuation as accumulation context, then look for the composite trend to move through your long threshold. Late in cycles, extended positive valuation with weakening composite votes is a caution cue for de-risking or tighter management. Regime-based allocation — increase risk or loosen take-profits when the composite is firmly Long and valuation is rising. Decrease risk or rotate to stable holdings when the composite is Short and valuation is falling. Signal gating — run shorter-term entry systems only in the direction of the composite. This reduces counter-trend trades and improves holding discipline during strong uptrends. Sizing overlay — scale position sizes by the magnitude of the valuation reading. Smaller sizes near the upper band during aging advances, larger sizes near zero after strong resets. DCA context — for long-only accumulation, schedule heavier adds when valuation is negative and stabilizing, then lighten or pause adds when valuation is very positive and flattening. Cross-asset rotation — compare symbols on 1D with the same fixed bands. Favor assets with positive valuation that are also in a Long composite state. Interpreting common patterns Early build-out — valuation rises from below zero, but the composite is still neutral. This is often the base-building phase. Patience and staged entries can make sense. Healthy advance — valuation positive and trending up, composite firmly Long. Pullbacks that keep valuation above zero are usually opportunities rather than trend breaks. Late-cycle stretch — valuation pinned near the upper band while the composite starts to weaken toward neutral. Consider trimming, tightening risk, or shifting to a “let the market prove it” stance. Distribution and unwind — valuation negative and falling, composite Short. Rallies are treated as counter-trend until both turn. Settings that matter Timeframe This model is intended for 1D as the primary view. It can be inspected on higher or lower frames, but the design choices assume daily bars for crypto and other risk assets. Asset-specific tuning Inputs should be adjusted per asset. Coins with high variability benefit from longer lookbacks and slightly wider dynamic bands. Lower-volatility instruments can use shorter windows and tighter bands. Valuation side Lookback lengths — longer values make the oscillator steadier and more cycle-aware. Shorter values increase sensitivity but create more mid-zone noise. Smoothing — enable to reduce flicker around zero and around the bands. Disable if you want faster warnings of regime change. Dynamic vs fixed thresholds — dynamic bands float with recent dispersion and keep OB/OS comparable across regimes. Fixed bands are simple and make inter-asset comparison easy. Scaling and re-expansion — keep this enabled if you want extremes to remain interpretable when volatility rises. Trend side Composite thresholds — widen the neutral zone if you want fewer flips. Tighten thresholds if you want earlier signals at the cost of more transitions. Visibility — use the price-pane signal line and bar coloring to keep the regime in view while you focus on structure. Alerts Valuation OB/OS enter and exit — the oscillator entering or leaving stretched zones. Zero-line crosses — valuation turning positive or negative. Trend flips — composite crossing your long or short threshold. Strengths Separates “valuation context” from “trend state,” which improves decisions about when to add, reduce, or stand aside. Composite voting reduces reliance on any single indicator family and improves robustness across regimes. Volatility-aware scaling keeps signals interpretable during quiet and wild markets. Clear, configurable visuals and alerts that support long-horizon discipline rather than frequent toggling. Final thoughts This is a universal long-term valuation strategy and trend model that aims to keep you aligned with the dominant regime while giving transparent context for stretch and risk. For crypto on 1D, it helps map accumulation, expansion, distribution, and unwind phases with a single, consistent language. Tune lookbacks, smoothing, and thresholds to the asset you trade, let the valuation side tell you where you are in the cycle, and let the composite trend side tell you what stance to hold until the market meaningfully changes.
Indicador Pine Script®
por BackQuant
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
Indicador Pine Script®
por QuantAlgo
2
Mean Reversion Channel [QuantAlgo]🟢 Overview The Mean Reversion Channel indicator is a range-bound trading system that combines dynamic price channels with momentum-weighted analysis to identify optimal mean reversion opportunities. It creates adaptive upper and lower reversion zones based on recent price action and volatility, while incorporating a momentum-biased equilibrium line that shifts based on volume-weighted price momentum. This creates a three-tier system where traders and investors can identify overbought and oversold conditions within established ranges, detect momentum exhaustion points, and anticipate channel breakouts or breakdowns. This indicator is particularly valuable for strategic dollar cost averaging (DCA) strategies, as it helps identify optimal accumulation zones during oversold conditions and provides tactical risk management levels for systematic investment approaches across different market conditions and asset classes. 🟢 How It Works The indicator employs a four-stage calculation process that transforms raw price and volume data into actionable mean reversion signals. First, it establishes the base channel by calculating the highest high and lowest low over a user-defined lookback period, creating the foundational price range for mean reversion analysis. This channel adapts continuously as new price data becomes available, ensuring the system remains relevant to current market conditions. In the second stage, the system calculates volume-weighted momentum by combining price momentum with volume activity. The momentum calculation takes the price change over a specified period and multiplies it by the volume ratio (current volume versus 20-period average volume, for instance) and a volume factor multiplier. This creates momentum readings that are more significant during high-volume periods and less influential during low-volume conditions. The third stage creates the dynamic reversion zones using Average True Range (ATR) calculations. The upper reversion zone is positioned below the channel high by an ATR-based distance, while the lower reversion zone is positioned above the channel low. These zones contract when momentum is negative (upper zone) or positive (lower zone), creating asymmetric reversion bands that adapt to momentum conditions. The final stage establishes the momentum-biased equilibrium line by calculating the midpoint between the reversion zones and adjusting it based on momentum bias. When momentum is positive, the equilibrium shifts upward; when negative, it shifts downward. This creates a dynamic reference level that helps identify when price action is moving against the prevailing momentum trend, signaling potential mean reversion opportunities. 🟢 How to Use 1. Mean Reversion Signal Identification Lower Reversion Zone Signals: When price reaches or falls below the lower reversion zone with bearish momentum, the system generates potential long/buy entry signals indicating oversold conditions within the established range. Upper Reversion Zone Signals: When price reaches or exceeds the upper reversion zone with bullish momentum, the system generates potential short/sell entry signals indicating overbought conditions. 2. Equilibrium Line Analysis and Momentum Exhaustion Equilibrium Breaks: The dynamic equilibrium line serves as a momentum bias indicator within the channel. Price crossing above equilibrium suggests shifting to bullish bias, while breaks below indicate bearish bias development within the mean reversion framework. Momentum Exhaustion Signals: The system identifies momentum exhaustion when price breaks through the equilibrium line opposite to the prevailing momentum direction. Bullish exhaustion occurs when price falls below equilibrium despite positive momentum, while bearish exhaustion happens when price rises above equilibrium during negative momentum periods. 3. Channel Expansion and Breakout Detection Channel Boundary Breaks: When price breaks above the upper reversion zone or below the lower reversion zone, it signals potential channel expansion or false breakout conditions. These events often precede significant trend changes or range expansion phases. Range Expansion Alerts: Breaks above the channel high or below the channel low indicate potential breakout from the mean reversion range, suggesting trend continuation or new directional movement beyond the established boundaries. 🟢 Pro Tips for Trading and Investing → Strategic DCA Optimization: Use the lower reversion zone as primary accumulation levels for dollar cost averaging strategies. When price reaches oversold conditions with bearish momentum exhaustion signals, it often represents optimal entry points for systematic investment programs, allowing investors to accumulate positions at statistically favorable price levels within the established range. → DCA Pause and Acceleration Signals : Monitor equilibrium line breaks to adjust DCA frequency and amounts. When price consistently trades below equilibrium with momentum exhaustion signals, consider accelerating DCA intervals or increasing investment amounts. Conversely, when price reaches upper reversion zones, consider pausing or reducing DCA activity until more favorable conditions return. → Momentum Divergence Detection: Watch for divergences between price action and momentum readings within the channel. When price makes new lows but momentum shows improvement, or price makes new highs with deteriorating momentum, these signal high-probability mean reversion setups ideal for contrarian investment approaches. → Alert-Based Systematic Investing/Trading: Utilize the comprehensive alert system for automated DCA triggers. Set up alerts for lower reversion zone touches combined with momentum exhaustion signals to create systematic entry points that remove emotional decision-making from long-term investment strategies, particularly effective for volatile assets where timing improvements can significantly impact overall returns.
Indicador Pine Script®
por QuantAlgo
Advanced Crypto Trading Dashboard📊 Advanced Crypto Trading Dashboard 🎯 FULL DESCRIPTION FOR TRADINGVIEW POST: 🚀 WHAT IS THIS DASHBOARD? This is an advanced multi-timeframe technical analysis dashboard designed specifically for cryptocurrency trading. Unlike basic indicators, this script combines 8 essential metrics into a single visual table, providing a 360º market overview across 4 simultaneous timeframes. 📈 ANALYZED TIMEFRAMES: - 15M: For scalping and precise entries - 1H: For short-term swing trades - 4H: For intermediate analysis and confirmations - 1D: For macro view and main trend 🎯 ADVANCED METRICS EXPLAINED: 1. 📊 MOMENTUM - Calculation: Combines RSI (40%) + MACD (30%) + Volume (30%) - Ratings: Bullish | Neutral ↗ | Neutral ↘ | Bearish - Use: Identifies the strength of the current movement 2. 📈 TREND - Calculation: Alignment of EMAs (8, 21, 55) + ADX for strength - Signals: Strong ↗ | Strong ↘ | Trending | Ranging - Use: Confirms trend direction and intensity 3. 💰 MONEY FLOW - Calculation: Money Flow Index (MFI) - advanced RSI with volume - States: Bullish | Bearish | Overbought | Oversold - Use: Detects real buying/selling pressure (not just candle color) 4. 🎯 RSI - Calculation: Traditional 14-period RSI - Zones: > 70 (Overbought) | < 30 (Oversold) | Neutral - Use: Identifies price extremes and opportunities 5. ⚡ VOLATILITY - Calculation: ATR in percentage + state classification - States: High | Medium | Low + exact % - Use: Assesses risk and movement potential 6. 🔔 BB SIGNAL - Calculation: Price position in Bollinger Bands - Signals: Overbought | Oversold | Neutral - Use: Confirms extremes and reversal points 7. 🎲 SCORE - Calculation: Composite score from 0-100 based on all indicators - Colors: Green (>75) | Yellow (40-75) | Red (<40) - Use: Quick overall assessment of asset strength 🎨 VISUAL FEATURES: 🌈 SMART COLOR SYSTEM: - Green: Bullish signals/buy opportunities - Red: Bearish signals/sell opportunities - Yellow: Neutral zones/wait for confirmation - Blue: Neutral technical information 📍 FULL CUSTOMIZATION: - Position: Left | Center | Right - Size: Small | Normal | Large - Emojis: On/Off for professional settings - Parameters: All periods adjustable 📋 HOW TO INTERPRET: ✅ STRONG BUY SIGNAL: - Momentum: Bullish - Trend: Strong ↗ - Money Flow: Bullish - RSI: 30-70 (healthy zone) - Score: >60 ❌ STRONG SELL SIGNAL: - Momentum: Bearish - Trend: Strong ↘ - Money Flow: Bearish - RSI: >70 or <30 (extremes) - Score: <40 ⚠️ CAUTION ZONE: - Conflicting signals across timeframes - Money Flow vs. Trend divergence - RSI at extremes with average Score 💡 USAGE STRATEGIES: 🎯 SCALPING (15M-1H): - Check alignment between 15M and 1H - Enter when both show the same signal - Use Stop Loss based on volatility 📈 SWING TRADING (1H-4H): - Confirm trend on 4H - Enter on pullbacks in 1H - Target based on overall Score 🏦 POSITION TRADING (4H-1D): - Focus on 1D analysis - Use 4H for entry timing - Hold position until Score reverses 🔧 RECOMMENDED SETTINGS: 👨‍💼 FOR PROFESSIONAL TRADERS: - Position: Center - Size: Normal - Emojis: Off - Chart Timeframe: 1H 🎮 FOR BEGINNERS: - Position: Right - Size: Large - Emojis: On - Chart Timeframe: 4H ⚡ ADVANTAGES OVER OTHER DASHBOARDS: ✅ Precise Calculations: Real MFI vs. "fake buyer volume" ✅ Multi-Timeframe: 4 simultaneous analyses ✅ Composite Score: Overall view in one number ✅ Intuitive Visuals: Clear colors and symbols ✅ Fully Customizable: Adapts to any setup ✅ Zero Repaint: Reliable and stable data ✅ Optimized Performance: Doesn’t lag the chart 🎓 PRACTICAL EXAMPLE: Asset: BTCUSDT | Timeframe: 1H | TF | Momentum | Trend | Money Flow | RSI | Score | |------|----------|------------|------------|-----|-------| | 15M | Bullish | Strong ↗ | Bullish | 65 | 78 | | 1H | Neutral↗ | Strong ↗ | Bullish | 58 | 68 | | 4H | Neutral↘ | Trending | Bearish | 45 | 52 | | 1D | Bearish | Strong ↘ | Bearish | 35 | 32 | 📊 Interpretation: - Short-term: Bullish (15M-1H aligned) - Mid-term: Conflict (4H neutral) - Long-term: Bearish (1D negative) - Strategy: Short-term bullish trade with tight stop 🚨 IMPORTANT NOTES: - This indicator is a support tool, not an automated system - Always combine with traditional chart analysis - Test in paper trading before using real money - Always manage risk with appropriate stop loss - Not a holy grail - no indicator is 100% accurate 📞 SUPPORT AND FEEDBACK: Leave your rating and comments! Your feedback helps continuously improve this tool.
Indicador Pine Script®
por MestreDoFOMO
Crypto Strength MatrixOverview The "Crypto Strength Matrix" is a custom Pine Script v5 indicator designed for cryptocurrency traders to assess the relative strength of major crypto market segments against traditional markets (e.g., the U.S. Dollar Index) and Bitcoin dominance. This indicator plots the strength of Altcoins (excluding ETH and SOL), Ethereum (ETH), Solana (SOL), the Dollar Index (DXY) versus Altcoins, and Bitcoin Dominance (DOM) on a 0-100 scale, using the Relative Strength Index (RSI) methodology. It provides a visual and intuitive way to identify overbought (>70) or oversold (<30) conditions across these assets, helping traders spot potential entry or exit points in the crypto market. How It Works The indicator fetches real-time data from various crypto and forex symbols available on TradingView, including: CRYPTOCAP:TOTAL2 (total altcoin market cap), CRYPTOCAP:ETH and CRYPTOCAP:SOL (market caps of ETH and SOL), CRYPTO:ETHUSD and CRYPTO:SOLUSD (ETH and SOL prices), CRYPTOCAP:BTC.D (Bitcoin dominance), TVC:DXY (U.S. Dollar Index). Calculations: Altcoin Strength (OTH): Measures the RSI of the normalized market cap of all altcoins excluding ETH and SOL (calculated as TOTAL2 - ETH - SOL), relative to the total altcoin market cap. This reflects the strength of smaller altcoins. ETH Strength: Computes the RSI of ETH/USD price adjusted by the DXY, isolating ETH's performance against the dollar. SOL Strength: Similar to ETH, calculates the RSI of SOL/USD price adjusted by the DXY, focusing on Solana's strength. DXY vs Altcoins: Uses the RSI of the DXY divided by the normalized total altcoin market cap, indicating the dollar's strength relative to altcoins. Bitcoin Dominance (DOM): Directly applies RSI to Bitcoin dominance data, showing BTC's market control. Each metric is plotted as a line with a unique color (OTH in aqua, ETH in teal, SOL in purple, DXY in green, DOM in orange) and labeled at the end of the chart for easy identification. Horizontal lines at 70 (overbought), 50 (neutral), and 30 (oversold) provide reference levels. How to Use Add the Indicator: Apply the "Crypto Strength Matrix" to a cryptocurrency chart (e.g., BTC/USD or ETH/USD) on a daily or 4-hour timeframe for optimal results. Interpret the Lines: OTH (Altcoins excluding ETH and SOL): A value above 70 suggests strong momentum in smaller altcoins, while below 30 indicates weakness. Monitor for divergence with ETH and SOL. ETH and SOL: High values (>70) signal potential overbought conditions for these assets, while low values (<30) may indicate oversold opportunities. DXY: Rising above 70 may suggest a stronger dollar, potentially pressuring crypto prices, while below 30 could indicate a weakening dollar, favoring crypto. DOM: A value above 70 reflects strong Bitcoin dominance, often leading to altcoin underperformance, while below 30 may signal altcoin season. Combine with Price Action: Use the indicator alongside candlestick patterns or volume analysis to confirm trade signals. Adjust RSI Length: The default RSI length is 14, but you can tweak this input in the indicator settings to suit your trading style (e.g., 7 for shorter-term, 21 for longer-term trends). Monitor Trends: Look for crossovers between lines (e.g., OTH rising above DXY) or alignment with the 50 neutral line to gauge market shifts. Tips Timeframe Selection: Daily charts provide a broad market view, while 4-hour charts offer more frequent signals. Avoid very short timeframes (e.g., 5m) due to noise. Contextual Awareness: Combine with macroeconomic news (e.g., U.S. dollar strength) and Bitcoin price movements for better decision-making. Risk Management: Use the indicator as a supplementary tool, not a standalone signal, and always set stop-losses based on your risk tolerance. This indicator is ideal for crypto traders seeking a comprehensive view of market dynamics without the complexity of multiple charts. Enjoy trading with the "Crypto Strength Matrix"!
Indicador Pine Script®
por MestreDoFOMO
Justin's Bitcoin Power Law PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. Using the formula Price = A * (daysSinceGenesis)^B, it calculates fair, upper, and floor prices with constants A_fair = 1.16e-17, A_floor = 0.42e-17, and B = 5.82, starting from Bitcoin’s genesis (January 3, 2009). The script plots these prices, displays values in a table. Source: www.ccn.com
Indicador Pine Script®
por hodljb
Signalgo Strategy ISignalgo Strategy I: Technical Overview Signalgo Strategy I is a systematically engineered TradingView strategy script designed to automate, test, and manage trend-following trades using multi-timeframe price/volume logic, volatility-based targets, and multi-layered exit management. This summary covers its operational structure, user inputs, entry and exit methodology, unique technical features, and practical application. Core Logic and Workflow Multi-Timeframe Data Synthesis User-Defined Timeframe: The user chooses a timeframe (e.g., 1H, 4H, 1D, etc.), on which all strategy signals are based. Cross-Timeframe Inputs: The strategy imports closing price, volume, and Average True Range (ATR) for the selected interval, independently from the chart’s native timeframe, enabling robust multi-timeframe analysis. Price Change & Volume Ratio: It calculates the percent change of price per bar and computes a volume ratio by comparing current volume to its 20-bar moving average—enabling detection of true “event” moves vs. normal market noise. Hype Filtering Anti-Hype Mechanism: An entry is automatically filtered out if abnormal high volume occurs without corresponding price movement, commonly observed during manipulation or announcement periods. This helps isolate genuine market-driven momentum. User Inputs Select Timeframe: Choose which interval drives signal generation. Backtest Start Date: Specify from which date historical signals are included in the strategy (for precise backtests). Take-Profit/Stop-Loss Configuration: Internally, risk levels are set as multiples of ATR and allow for three discrete profit targets. Entry Logic Trade Signal Criteria: Price change magnitude in the current bar must exceed a fixed sensitivity threshold. Volume for the bar must be significantly elevated compared to average, indicating meaningful participation. Anti-hype check must not be triggered. Bullish/Bearish Determination: If all conditions are met and price change direction is positive, a long signal triggers. If negative, a short signal triggers. Signal Debouncing: Ensures a signal triggers only when a new condition emerges, avoiding duplicate entries on flat or choppy bars. State Management: The script tracks whether an active long or short is open to avoid overlapping entries and to facilitate clean reversals. Exit Strategy Take-Profits: Three distinct profit targets (TP1, TP2, TP3) are calculated as fixed multiples of the ATR-based stop loss, adapting dynamically to volatility. Reversals: If a buy signal appears while a short is open (or vice versa), the existing trade is closed and reversed in a single step. Time-Based Exit: If, 49 bars after entry, the trade is in-profit but hasn’t reached TP1, it exits to avoid stagnation risk. Adverse Move Exit: The position is force-closed if it suffers a 10% reversal from entry, acting as a catastrophic stop. Visual Feedback: Each TP/SL/exit is plotted as a clear, color-coded line on the chart; no hidden logic is used. Alerts: Built-in TradingView alert conditions allow automated notification for both entries and strategic exits. Distinguishing Features vs. Traditional MA Strategies Event-Based, Not Just Slope-Based: While classic moving average strategies enter trades on MA crossovers or slope changes, Signalgo Strategy I demands high-magnitude price and volume confirmation on the chosen timeframe. Volume Filtering: Very few MA strategies independently filter for meaningful volume spikes. Real Market Event Focus: The anti-hype filter differentiates organic market trends from manipulated “high-volume, no-move” sessions. Three-Layer Exit Logic: Instead of a single trailing stop or fixed RR, this script manages three profit targets, time-based closures, and hard adverse thresholds. Multi-Timeframe, Not Chart-Dependent: The “main” analytical interval can be set independently from the current chart, allowing for in-depth cross-timeframe backtests and system runs. Reversal Handling: Automatic handling of signal reversals closes and flips positions precisely, reducing slippage and manual error. Persistent State Tracking: Maintains variables tracking entry price, trade status, and target/stop levels independently of chart context. Trading Application Strategy Sandbox: Designed for robust backtesting, allowing users to simulate performance across historical data for any major asset or interval. Active Risk Management: Trades are consistently managed for both fixed interval “stall” and significant loss, not just via trailing stops or fixed-day closes. Alert Driven: Can power algorithmic trading bots or notify discretionary traders the moment a qualifying market event occurs.
Estratégia Pine Script®
por signalgo
Price Acceleration Matrix [QuantAlgo]🟢 Overview The Price Acceleration Matrix indicator is an advanced momentum analysis tool that measures the rate of change in price velocity across multiple timeframes simultaneously. It transforms raw price data into velocity measurements for each timeframe, then calculates the acceleration of these velocities to identify when momentum is building or deteriorating. By analyzing acceleration alignment across all three timeframes, the system can distinguish between strong directional moves (all timeframes accelerating in the same direction) and weak, choppy movements (mixed acceleration signals). This multi-timeframe acceleration matrix provides traders with early warning signals for momentum shifts, trend continuation and reversal opportunities across different timeframes and asset classes. 🟢 How It Works The indicator employs a three-stage calculation process that transforms price data into actionable acceleration signals. First, it calculates velocity (rate of price change) for each of the three user-defined timeframes by measuring the percentage change in price over the specified lookback periods. These velocity calculations are normalized by their respective timeframe lengths to ensure fair comparison across different periods. In the second stage, the system calculates acceleration by measuring the change in velocity from one bar to the next for each timeframe, effectively capturing the second derivative of price movement. This acceleration data reveals whether momentum is building (positive acceleration) or deteriorating (negative acceleration) at each timeframe level. The final stage creates the acceleration matrix score by evaluating alignment across all three timeframes. When all timeframes show positive acceleration, the system averages them for maximum bullish signal strength. When all show negative acceleration, it averages them for maximum bearish signal strength. However, when acceleration signals are mixed across timeframes, the system applies a penalty by dividing the average by two, indicating consolidation or conflicting momentum forces. The resulting signal is then smoothed using an Exponential Moving Average and scaled to the -3 to +3 range using a user-defined threshold parameter. 🟢 How to Use 1. Signal Interpretation and Momentum Analysis Positive Territory (Above Zero): Indicates accelerating upward momentum with bullish bias and favorable conditions for long positions Negative Territory (Below Zero): Signals accelerating downward momentum with bearish bias and favorable conditions for short positions Extreme Levels (±2 to ±3): Represent maximum acceleration alignment across all timeframes, indicating high-probability momentum continuation Moderate Levels (±1 to ±2): Suggest building momentum with good timeframe alignment but less conviction than extreme readings Near Zero (-0.5 to +0.5): Indicates mixed signals, consolidation, or momentum exhaustion requiring caution 2. Overbought/Oversold Zone Analysis Above +2 (Overbought Zone): Markets showing extreme bullish acceleration may be due for profit-taking or short-term pullbacks Below -2 (Oversold Zone): Markets showing extreme bearish acceleration may present reversal opportunities or bounce potential Zone Exits: When acceleration retreats from extreme zones, it often signals momentum exhaustion and potential trend changes 🟢 Pro Tips for Trading → Early Momentum Detection: Watch for acceleration crossing above zero after periods of negative readings, as this often precedes major price movements by several bars, providing early entry opportunities before traditional indicators signal. → Momentum Exhaustion Signals: Exit or take profits when acceleration reaches extreme levels (±2.5 or higher) and begins to decline, even if price continues in the same direction, as momentum deterioration typically precedes price reversals. → Acceleration Divergence Strategy: Look for divergences between price highs/lows and acceleration peaks/troughs, as these often signal weakening momentum and potential reversal opportunities before they become apparent on price charts. → Threshold Optimization: Adjust the acceleration threshold based on asset volatility - higher thresholds (0.7-1.0) for volatile assets to reduce false signals, lower thresholds (0.3-0.5) for stable assets to maintain sensitivity. → Alert-Based Trading: Utilize the built-in alert system for bullish/bearish reversals (±2 level crosses) and trend changes (zero line crosses) to capture momentum shifts without constant chart monitoring, especially effective for swing trading approaches. → Risk Management Integration: Reduce position sizes when acceleration readings are weak (below ±1.0) and increase allocation when strong acceleration alignment occurs (above ±2.0), as signal strength correlates directly with probability of successful trades.
Indicador Pine Script®
por QuantAlgo
6
BTC Power Law [Financial 6-Pack | @itsToghrul]A clean, research-grade roadmap for Bitcoin’s long-term trajectory. The script fits a power-law curve to INDEX:BTCUSD price vs. days since genesis, adds asymmetric deviation bands to reflect diminishing upside, and can project the path forward while keeping chart clutter under control. A compact stats table shows model fit quality, live deviation, and model prices for a custom future date. What it does - Plots a base power-law model of BTC price over time. - Adds an upper band that decays over time to capture diminishing returns, with multiple decay options. - Adds a lower band as a fixed multiple to frame downside risk. - Optionally boosts cycle peaks with Gaussian “bumps” to reflect halving-cycle dynamics. - Draws dashed forward projections for the base line and bands over a user-defined horizon. Displays a stats table with: - Rolling R² of model vs. price (in log space) over a user-defined lookback. - Current % deviation from the base model. - Model, upper, and lower prices for a custom date you set. Key features - Five upper-band modes: Fixed, Exponential, Power-law, Stretched Exponential (Weibull), and Logistic/Hill. Each mode has intuitive controls for steepness, midpoint, floor, and reference scales. - Cycle peak enhancer: Optional Gaussian sum with per-cycle decay, width, and period controls, plus an optional cosine modulation. - Future projection controls: Choose the forward horizon in days and a sampling step to balance precision vs. performance. Projections render as transparent dashed lines to avoid clutter. - Lightweight rendering: Internal caps on line segments keep drawings responsive without losing structure. - Custom-date pricing: Build a date/time from parts and read off model, upper, and lower prices in the table. - Transparent fit metric: Rolling R² in log space offers a quick quality check for the current regime. Inputs overview - Future projection: On/off, horizon (days), and sampling step. - Colors: Base line and band colors with separate transparency for projections. - Upper deviation: Mode selector plus parameters for decay shape, floor, reference scale, or midpoint/steepness, depending on mode. - Lower deviation: Single fixed multiple with color. - Gaussian peaks (optional): Amplitude base, cycle width, period, first-peak center, per-cycle decay, number of cycles, and optional cosine modulation. - Stats: Rolling R² lookback length. - Custom date: Year, month, day, hour, minute for quick scenario checks. How to read it - Base line: Long-term fair-value trend under a power-law regime. - Upper band: Probable cycle top envelope that compresses over time. Switching modes changes how quickly headroom fades. - Lower band: Defensive envelope for stress scenarios. - Deviation %: Positive values signal overvaluation vs. model; negative values signal undervaluation vs. model. - Custom date row: Quick “what-if” prices for your chosen timestamp. Practical tips - Use log scale on the price chart for visual clarity. - For conservative tops, select Logistic/Hill or Stretched Exp with a non-trivial floor. - For aggressive tops, use Power-law upper mode with a moderate exponent, then temper with the Gaussian enhancer. - Keep the projection step coarse on lower-power machines to maintain snappy charts. - Treat R² as a diagnostic, not a signal. Markets drift around regime shifts. Intended use Research and risk framing for BTC on higher timeframes. Works best on weekly or higher with reliable BTC spot pairs. Disclaimer Educational content only. No financial advice. Markets carry risk. Manage exposure and test ideas before acting.
Indicador Pine Script®
por toghrulaliyev
RCI 2 Dashboards ✅ Strategy: RCI 2 Dashboards BY Sonu JAIN This advanced strategy is built around the Rank Correlation Index (RCI), a unique momentum oscillator, and combines it with a comprehensive suite of powerful indicators to identify high-probability trading opportunities. The strategy’s core strength lies in its ability to filter signals using up to 12 different conditions for both long and short trades. To make the decision-making process clear and intuitive, the strategy features two dynamic, customizable dashboards right on your chart. The first dashboard gives you a live, detailed breakdown of which conditions are met, while the second provides a real-time overview of the strategy’s performance. How It Works The strategy generates entry signals based on RCI crossovers and crossunders. These signals are then filtered by a customizable combination of other indicators to confirm the trade. Long Entry: The RCI crosses over its moving average. All enabled long-side filters are met. Short Entry: The RCI crosses under its moving average. All enabled short-side filters are met. Key Features RCI Crossover Logic: The core of the strategy is an RCI crossover/crossunder with a customizable moving average (MA). You can choose from SMA, EMA, SMMA (RMA), WMA, or VWMA. 12 Optional Filters: This strategy goes far beyond a simple RCI signal. You can enable or disable a wide range of filters to refine your entries. These include: Trend: Supertrend, Parabolic SAR (SAR), and Vortex Indicator. Volatility: Keltner Channels (KC) and Bollinger Bands (BB). Momentum: Woodies CCI, Money Flow Index (MFI), and Relative Strength Index (RSI). Volume: On-Balance Volume (OBV) and simple Volume analysis. Directional Strength: Average Directional Index (ADX). Timing: A time-of-day filter to trade only during specific market hours. Dual Dashboards: Detailed Condition Dashboard: This dashboard shows you exactly which of the 12 filters are currently met with a simple ✓ or ✗. This provides instant clarity on why a trade is or isn't being considered. Performance Dashboard: This dashboard displays key performance metrics in real-time, including net profit, win rate, profit factor, max drawdown, and current/max winning and losing streaks. It also provides details on the most recent trade, such as entry, stop-loss, and exit prices. Customizable Stop Loss: The strategy includes a fixed percentage-based stop loss for both long and short positions, which you can easily configure in the settings. Trade Direction Control: You can choose to trade "Long Only," "Short Only," or "Long & Short," giving you complete control over your trading bias. This strategy is a powerful tool for traders who want to build a robust, multi-filtered system. The included dashboards make it an excellent educational tool for understanding how different indicators work together to form a complete trading plan. You can use it to backtest and optimize your own unique combination of indicators to find the perfect setup for your market and timeframe.
Estratégia Pine Script®
por tvp2005tvp
1
RSI Halving Heatmap by GUELFO 📈 **RSI Halving Heatmap Indicator** This custom RSI indicator colors the RSI line based on the number of months remaining until the next Bitcoin halving. The closer we get to the halving, the warmer the color—ranging from deep blue (far from halving) to bright red (near halving). ✅ Includes: - Customizable RSI length and source - 12-color gradient scale for halving proximity - Optional SMA overlay on RSI for trend smoothing Ideal for visualizing market momentum in the context of Bitcoin’s halving cycle.
Indicador Pine Script®
por GUELFOBIANCO
Auto Intelligence Selective Moving Average(AI/MA)# 🤖 Auto Intelligence Moving Average Strategy (AI/MA) **AI/MA** is a state-adaptive moving average crossover strategy designed to **maximize returns from golden cross / death cross logic** by intelligently switching between different MA types and parameters based on market conditions. --- ## 🎯 Objective To build a moving average crossover strategy that: - **Adapts dynamically** to market regimes (trend vs range, rising vs falling) - **Switches intelligently** between SMA, EMA, RMA, and HMA - **Maximizes cumulative return** under realistic backtesting --- ## 🧪 materials amd methods - **MA Types Considered**: SMA, EMA, RMA, HMA - **Parameter Ranges**: Periods from 5 to 40 - **Market Conditions Classification**: - Based on the slope of a central SMA(20) line - And the relative position of price to the central line - Resulting in 4 regimes: A (Bull), B (Pullback), C (Rebound), D (Bear) - **Optimization Dataset**: - **Bybit BTCUSDT.P** - **1-hour candles** - **2024 full-year** - **Search Process**: - **Random search**: 200 parameter combinations - Evaluated by: - `Cumulative PnL` - `Sharpe Ratio` - `Max Drawdown` - `R² of linear regression on cumulative PnL` - **Implementation**: - Optimization performed in **Python (Pandas + Matplotlib + Optuna-like logic)** - Final parameters ported to **Pine Script (v5)** for TradingView backtesting --- ## 📈 Performance Highlights (on optimization set) | Timeframe | Return (%) | Notes | |-----------|------------|----------------------------| | 6H | +1731% | Strongest performance | | 1D | +1691% | Excellent trend capture | | 12H | +1438% | Balance of trend/range | | 5min | +27.3% | Even survives scalping | | 1min | +9.34% | Robust against noise | - Leverage: 100x - Position size: 100% - Fees: 0.055% - Margin calls: **none** 🎯 --- ## 🛠 Technology Stack - `Python` for data handling and optimization - `Pine Script v5` for implementation and visualization - Fully state-aware strategy, modular and extendable --- ## ✨ Final Words This strategy is **not curve-fitted**, **not over-parameterized**, and has been validated across multiple timeframes. If you're a fan of dynamic, intelligent technical systems, feel free to use and expand it. 💡 The future of simple-yet-smart trading begins here.
Estratégia Pine Script®
por chikaharu
6
Reversal IndicatorWhat does this indicator do? This indicator is designed to help traders spot potential reversal points in the market by combining multiple conditions: ✅ Multi-Timeframe RSI – Checks RSI on a lower timeframe (like 5m) to see if the market is oversold or overbought. ✅ Higher Timeframe SMA Filter – Uses a higher timeframe SMA (like 1h) as a trend filter, so signals only trigger in the direction of the bigger trend. ✅ Candle Pattern Confirmation – Looks for bullish or bearish engulfing candles to confirm price exhaustion before signaling a reversal. When all these conditions align, the indicator plots a triangle under/above the candle to highlight a possible reversal. Why is this useful? Many traders struggle with false RSI signals or candle patterns that fail because they don’t respect the larger trend. This indicator filters out weak setups by requiring alignment between: A lower timeframe RSI oversold/overbought condition, A higher timeframe trend filter (SMA), And a strong candle reversal pattern. This multi-layer approach helps avoid chasing every RSI dip and focuses only on high-probability reversal zones. How does it work? Bullish reversal signal → appears when RSI on the lower TF is oversold, price is still above the higher TF SMA (trend still intact), AND a bullish engulfing candle forms. Bearish reversal signal → appears when RSI on the lower TF is overbought, price is below the higher TF SMA, AND a bearish engulfing candle forms. When all conditions match, the indicator plots a triangle under the candle for bullish signals and above the candle for bearish signals. How to use it? Choose your timeframes: A timeframe for trend filtering (e.g. 1h). A timeframe for RSI (e.g. 4h). NOTICE: THE RSI TIMEFRAME SHOULD BE GREATER THEN THE TIMEFRAME FOR THE SMA Otherwise it will not generate that much signals. Watch for signals ONLY in the direction of the higher trend. Use the signals as potential reversal points, not as guaranteed entries. Combine with your own confluence. Optionally set alerts for bullish or bearish reversal conditions so you never miss a setup. Customization ✅ Choose your RSI length & overbought/oversold levels. ✅ Select which timeframes you want for SMA & RSI. ✅ Toggle the higher TF SMA display on/off. ✅ Adjust signal appearance (triangles). Important Notes ⚠️ This is not a standalone trading system. It’s a tool to help spot possible reversal areas. Always confirm with price action, support/resistance, or your own strategy
Indicador Pine Script®
por FunStriker
10
Bull Momentum GaugeBull Momentum Gauge The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade. What it Does At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by: Calculating the price's deviation from its 365-day moving average. Normalizing this deviation into a Z-score to measure its statistical significance. Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself. The result is a single, smooth line that oscillates around a zero value. How to Use It The signals are simple and based on the indicator's relationship to the zero line: Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run. Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle. This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
Indicador Pine Script®
por Venture1987
1