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EMA Cross CounterSure! Here's a professional English presentation for your EMA200 script, which you can use on TradingView, your website, or in a video description. Let me know if you want a more casual or more technical version. 📈 EMA200 Script Presentation (English) Title: 🔵 EMA200 Strategy – Powerful Trend Filter for Smart Traders Description: Welcome to the EMA200 Script, your essential tool for identifying trend direction and improving your trading decisions! The EMA200 (Exponential Moving Average over 200 periods) is one of the most reliable indicators used by professional traders to determine the overall market trend. This script is designed to help you: ✅ Identify Bullish or Bearish Conditions – Know whether the market is trending up or down based on price action relative to the EMA200. ✅ Filter Your Entries – Avoid counter-trend trades and focus only on high-probability setups aligned with the dominant trend. ✅ Enhance Any Strategy – Use the EMA200 as a standalone trend filter or combine it with your existing indicators for better precision.
Pine Script®指標
由Pangolin76提供
AD Pro//@version=5 indicator("AD Pro", overlay=true) // === Inputs atrLen = input.int(14, "ATR Length") factor = input.float(0.7, "Factor") slMultiplier = input.float(2.0, "SL Multiplier") // Volatility Filter Input atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1) // Min % Price Change Filter enableMinMove = input.bool(true, "Enable Min % Price Change Filter") lookbackBars = input.int(20, "Lookback Bars") minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0) // TP Buy colors tp1BuyColor = input.color(color.lime, "TP1 Buy Color") tp2BuyColor = input.color(color.green, "TP2 Buy Color") tp3BuyColor = input.color(color.teal, "TP3 Buy Color") // TP Sell colors tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color") tp2SellColor = input.color(color.red, "TP2 Sell Color") tp3SellColor = input.color(color.maroon, "TP3 Sell Color") // SL colors slBuyColor = input.color(color.blue, "SL Buy Color") slSellColor = input.color(color.blue, "SL Sell Color") // === Indicator Calculations atr = ta.atr(atrLen) avgATR = ta.sma(atr, 50) atrCondition = atr > avgATR * atrFilterStrength priceChange = math.abs(close - close ) / close priceMoveOK = priceChange > minMovePct priceChangeCondition = not enableMinMove or priceMoveOK volatilityOK = atrCondition and priceChangeCondition // === UT Bot Logic src = close var float trailPrice = na var bool dirLong = true longStop = src - factor * atr shortStop = src + factor * atr if na(trailPrice) trailPrice := longStop dirLong := true else if dirLong trailPrice := math.max(trailPrice, longStop) dirLong := src > trailPrice else trailPrice := math.min(trailPrice, shortStop) dirLong := src > trailPrice rawBuy = dirLong and not dirLong rawSell = not dirLong and dirLong // Apply Volatility Filter buySignal = rawBuy and volatilityOK sellSignal = rawSell and volatilityOK // === Entry & Label Storage var float entryPrice = na var bool lastSignalIsBuy = na var label tp1Lbl = na var label tp2Lbl = na var label tp3Lbl = na var label slLbl = na var line tp1Line = na var line tp2Line = na var line tp3Line = na var line slLine = na if buySignal or sellSignal if not na(tp1Lbl) label.delete(tp1Lbl) if not na(tp2Lbl) label.delete(tp2Lbl) if not na(tp3Lbl) label.delete(tp3Lbl) if not na(slLbl) label.delete(slLbl) if not na(tp1Line) line.delete(tp1Line) if not na(tp2Line) line.delete(tp2Line) if not na(tp3Line) line.delete(tp3Line) if not na(slLine) line.delete(slLine) entryPrice := close lastSignalIsBuy := buySignal tp1 = entryPrice + (buySignal ? 1 : -1) * atr tp2 = entryPrice + (buySignal ? 2 : -2) * atr tp3 = entryPrice + (buySignal ? 3 : -3) * atr sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick), style=label.style_label_right, color=buySignal ? tp1BuyColor : tp1SellColor, textcolor=color.black) tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick), style=label.style_label_right, color=buySignal ? tp2BuyColor : tp2SellColor, textcolor=color.white) tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick), style=label.style_label_right, color=buySignal ? tp3BuyColor : tp3SellColor, textcolor=color.white) slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, color=buySignal ? slBuyColor : slSellColor, textcolor=color.white) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed) tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3, color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed) slLine := line.new(bar_index, sl, bar_index + 1, sl, color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed) // === Plot Signals plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts alertcondition(buySignal, title="Buy Alert", message="Buy Signal!") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Pine Script®指標
由ysramylady提供
1
AD Pro//@version=5 indicator("AD Pro", overlay=true) // === Inputs atrLen = input.int(14, "ATR Length") factor = input.float(0.7, "Factor") slMultiplier = input.float(2.0, "SL Multiplier") // Volatility Filter Input atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1) // Min % Price Change Filter enableMinMove = input.bool(true, "Enable Min % Price Change Filter") lookbackBars = input.int(20, "Lookback Bars") minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0) // TP Buy colors tp1BuyColor = input.color(color.lime, "TP1 Buy Color") tp2BuyColor = input.color(color.green, "TP2 Buy Color") tp3BuyColor = input.color(color.teal, "TP3 Buy Color") // TP Sell colors tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color") tp2SellColor = input.color(color.red, "TP2 Sell Color") tp3SellColor = input.color(color.maroon, "TP3 Sell Color") // SL colors slBuyColor = input.color(color.blue, "SL Buy Color") slSellColor = input.color(color.blue, "SL Sell Color") // === Indicator Calculations atr = ta.atr(atrLen) avgATR = ta.sma(atr, 50) atrCondition = atr > avgATR * atrFilterStrength priceChange = math.abs(close - close ) / close priceMoveOK = priceChange > minMovePct priceChangeCondition = not enableMinMove or priceMoveOK volatilityOK = atrCondition and priceChangeCondition // === UT Bot Logic src = close var float trailPrice = na var bool dirLong = true longStop = src - factor * atr shortStop = src + factor * atr if na(trailPrice) trailPrice := longStop dirLong := true else if dirLong trailPrice := math.max(trailPrice, longStop) dirLong := src > trailPrice else trailPrice := math.min(trailPrice, shortStop) dirLong := src > trailPrice rawBuy = dirLong and not dirLong rawSell = not dirLong and dirLong // Apply Volatility Filter buySignal = rawBuy and volatilityOK sellSignal = rawSell and volatilityOK // === Entry & Label Storage var float entryPrice = na var bool lastSignalIsBuy = na var label tp1Lbl = na var label tp2Lbl = na var label tp3Lbl = na var label slLbl = na var line tp1Line = na var line tp2Line = na var line tp3Line = na var line slLine = na if buySignal or sellSignal if not na(tp1Lbl) label.delete(tp1Lbl) if not na(tp2Lbl) label.delete(tp2Lbl) if not na(tp3Lbl) label.delete(tp3Lbl) if not na(slLbl) label.delete(slLbl) if not na(tp1Line) line.delete(tp1Line) if not na(tp2Line) line.delete(tp2Line) if not na(tp3Line) line.delete(tp3Line) if not na(slLine) line.delete(slLine) entryPrice := close lastSignalIsBuy := buySignal tp1 = entryPrice + (buySignal ? 1 : -1) * atr tp2 = entryPrice + (buySignal ? 2 : -2) * atr tp3 = entryPrice + (buySignal ? 3 : -3) * atr sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick), style=label.style_label_right, color=buySignal ? tp1BuyColor : tp1SellColor, textcolor=color.black) tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick), style=label.style_label_right, color=buySignal ? tp2BuyColor : tp2SellColor, textcolor=color.white) tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick), style=label.style_label_right, color=buySignal ? tp3BuyColor : tp3SellColor, textcolor=color.white) slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, color=buySignal ? slBuyColor : slSellColor, textcolor=color.white) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed) tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3, color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed) slLine := line.new(bar_index, sl, bar_index + 1, sl, color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed) // === Plot Signals plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts alertcondition(buySignal, title="Buy Alert", message="Buy Signal!") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Pine Script®指標
由ysramylady提供
내 스크립트//@version=5 indicator("Support/Resistance Scalping Strategy", overlay=true) // === 사용자 설정 === support_level = input.float(101000, title="지지선", step=10) resistance_level = input.float(104000, title="저항선", step=10) rsi = ta.rsi(close, 14) bb_upper = ta.bb(close, 20, 2).upper bb_lower = ta.bb(close, 20, 2).lower // === 조건 === // 롱 조건: 지지선 근처 도달 + RSI < 40 + 볼린저 하단 근접 long_condition = (low <= support_level * 1.002) and (rsi < 40) and (close <= bb_lower) plotshape(long_condition, title="Long Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG") // 숏 조건: 저항선 근처 도달 + RSI > 60 + 볼린저 상단 근접 short_condition = (high >= resistance_level * 0.998) and (rsi > 60) and (close >= bb_upper) plotshape(short_condition, title="Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT") // 시각적 지지/저항선 표시 hline(support_level, "지지선", color=color.green, linestyle=hline.style_dashed) hline(resistance_level, "저항선", color=color.red, linestyle=hline.style_dashed)
Pine Script®指標
由Mido3310提供
10 EMA -3*ATRThis custom indicator plots the line calculated as 10-period Exponential Moving Average (EMA) minus 3 times the 14-period Average True Range (ATR). It helps traders identify dynamic support levels or pullback zones during strong trends by adjusting for market volatility. A falling line may signal increasing volatility or weakening momentum, while a rising line may indicate strengthening trend stability. Suitable for trend-following strategies and volatility-aware entries.
Pine Script®指標
由KPLTrader提供
Options Betting Range - FixedOptions Betting Range Options Betting Range is a powerful TradingView indicator designed to streamline options trading by visualizing high-probability price ranges for key symbols. With automated trendlines and clear labels, it empowers traders to make precise, data-driven decisions based on customizable prediction and execution dates. ## Key Features Broad S&P 500 Coverage: Supports most S&P 500 stock symbols, excluding those with insufficient options volume for reliable data, alongside major ETFs and indices like SPY, IWM, QQQ, DIA, TLT, ^GSPC, ^IXIC, ^RUT, ^NDX, and ^SOX. Automated Trendlines: Plots dashed and solid trendlines to mark high/low price boundaries, triggered only on specified prediction dates for clean, uncluttered charts. Customizable Inputs: Configure prediction and execution dates to align with your trading strategy. Clear Visuals: Color-coded labels (green for highs, purple for lows) display price ranges and percentage spreads for rapid decision-making. Single-Execution Logic: Draws trendlines once per prediction date, ensuring chart clarity and efficiency. ## How It Works Based on the latest daily open interest data, the indicator calculates swing ranges for different strike dates, drawing trendlines and labels to visualize potential price boundaries for options trading. ## Why Use It? Streamlined Analysis: Automates range visualization, saving time and reducing manual charting. Strategic Clarity: Objective price levels minimize emotional bias and enhance trade planning. Versatile Application: Ideal for day traders, swing traders, and options strategists across multiple markets. ## Tips for Best Use Regular Updates: To maintain the accuracy of options betting ranges, periodically update the indicator. On the view page, hover over the indicator name and click the blue whirlwind icon to complete the update. ## Get Started Add Options Betting Range to your TradingView chart, select a supported symbol, and customize your prediction/execution dates. Leverage the visualized price ranges to execute precise options trading strategies with confidence.
Pine Script®指標
由dragonjia提供
Zero Lag Trend Strategy (MTF) [AlgoAlpha]# Zero Lag Trend Strategy (MTF) - Complete Guide ## Overview The Zero Lag Trend Strategy is a sophisticated trading system that combines zero-lag exponential moving averages with volatility bands and EMA-based entry/exit filtering. This strategy is designed to capture trending movements while minimizing false signals through multiple confirmation layers. ## Core Components ### 1. Zero Lag EMA (ZLEMA) - **Purpose**: Primary trend identification with reduced lag - **Calculation**: Uses a modified EMA that compensates for inherent lag by incorporating price momentum - **Formula**: `EMA(price + (price - price ), length)` where lag = (length-1)/2 - **Default Length**: 70 periods (adjustable) ### 2. Volatility Bands - **Purpose**: Define trend strength and entry/exit zones - **Calculation**: Based on ATR (Average True Range) multiplied by a user-defined multiplier - **Upper Band**: ZLEMA + (ATR * multiplier) - **Lower Band**: ZLEMA - (ATR * multiplier) - **Default Multiplier**: 1.2 (adjustable) ### 3. EMA Filter/Exit System - **Purpose**: Entry filtering and exit signal generation - **Default Length**: 9 periods (fully customizable) - **Color**: Blue line on chart - **Function**: Prevents counter-trend entries and provides clean exit signals ## Entry Logic ### Long Entry Conditions 1. **Primary Signal**: Price crosses above the upper volatility band (strong bullish momentum) 2. **Additional Entries**: Price crosses above ZLEMA while already in an uptrend (if enabled) 3. **EMA Filter**: Price must be above the EMA filter line 4. **Confirmation**: All conditions must align simultaneously ### Short Entry Conditions 1. **Primary Signal**: Price crosses below the lower volatility band (strong bearish momentum) 2. **Additional Entries**: Price crosses below ZLEMA while already in a downtrend (if enabled) 3. **EMA Filter**: Price must be below the EMA filter line 4. **Confirmation**: All conditions must align simultaneously ## Exit Logic **Simple and Clean**: Positions are closed when price crosses the EMA filter line in the opposite direction: - **Long Exit**: Price crosses below the EMA filter - **Short Exit**: Price crosses above the EMA filter ## Multi-Timeframe Analysis The strategy includes a real-time table showing trend direction across 5 different timeframes: - Default timeframes: 5m, 15m, 1h, 4h, 1D (all customizable) - Color-coded signals: Green for bullish, Red for bearish - Helps confirm overall market direction before taking trades ## Key Parameters ### Main Calculations - **Length (70)**: Zero-lag EMA calculation period - **Band Multiplier (1.2)**: Controls volatility band width ### Strategy Settings - **Enable Additional Trend Entries**: Allow multiple entries during strong trends - **EMA Exit Length (9)**: Period for the entry filter and exit EMA ### Timeframes - **5 customizable timeframes** for multi-timeframe trend analysis ### Appearance - **Bullish Color**: Default green (#00ffbb) - **Bearish Color**: Default red (#ff1100) ## Visual Elements ### Chart Display - **ZLEMA Line**: Color-coded trend line (green/red based on trend direction) - **Volatility Bands**: Dynamic upper/lower bands that appear based on trend - **EMA Filter**: Blue line for entry filtering and exits - **Entry Signals**: - Large arrows (▲▼) for primary trend signals - Small arrows for additional trend entries - Tiny letters (L/S) for actual strategy entries ### Information Table - **Position**: Top-right corner - **Content**: Real-time trend status across all configured timeframes - **Updates**: Continuously updated with current market conditions ## Strategy Advantages ### Trend Following Excellence - Captures strong trending moves with reduced whipsaws - Multiple confirmation layers prevent false entries - Dynamic bands adapt to market volatility ### Risk Management - Clear, objective exit rules - EMA filter prevents counter-trend trades - Multi-timeframe confirmation reduces bad trades ### Flexibility - Fully customizable parameters - Works across different timeframes and instruments - Optional additional trend entries for maximum profit potential ### Visual Clarity - Clean, professional chart display - Easy-to-read signals and trends - Comprehensive multi-timeframe overview ## Best Practices ### Parameter Optimization - **Length**: Higher values (50-100) for longer-term trends, lower values (20-50) for shorter-term - **Band Multiplier**: Higher values (1.5-2.0) reduce signals but increase quality - **EMA Length**: Shorter periods (5-13) for quick exits, longer periods (20-50) for trend riding ### Market Conditions - **Trending Markets**: Enable additional trend entries for maximum profit - **Choppy Markets**: Use higher band multiplier and longer EMA for fewer, higher-quality signals - **Different Timeframes**: Adjust all parameters proportionally when changing chart timeframes ### Multi-Timeframe Usage - Align trades with higher timeframe trends - Use lower timeframes for precise entry timing - Avoid trades when timeframes show conflicting signals ## Risk Considerations - Like all trend-following strategies, may struggle in ranging/choppy markets - EMA exit system prioritizes trend continuation over quick profit-taking - Multiple timeframe analysis requires careful interpretation - Backtesting recommended before live trading with any parameter changes ## Conclusion The Zero Lag Trend Strategy provides a comprehensive approach to trend trading with built-in risk management and multi-timeframe analysis. Its combination of advanced technical indicators, clear entry/exit rules, and customizable parameters makes it suitable for both novice and experienced traders seeking to capture trending market movements.
Pine Script®策略
由M4ndoo提供
DB - Range Filter heikenashi Strategy DB - Range Filter Heikenashi Strategy Smart Filtering Meets Heiken-Ashi Precision for Adaptive Trend Breakouts This is not your average range filter strategy. Built from the ground up with adaptive signal logic and hybrid candle interpretation, this script merges range-based volatility filtering with Heiken-Ashi smoothing to isolate meaningful breakouts—while filtering out noise with surgical precision. 🔍 Key Innovations: • Dynamic Range Filtering Engine: Combines smoothed average range with directional bias to create high-confidence entries. • Candle Type Toggle: Choose between standard candles or Heiken-Ashi to shape your signals to your trading style. • Dual-Layer Trend Confirmation: Upward and downward movement counters ensure trend commitment before triggering entries. • Time-Filtered Backtesting: Easily isolate strategy performance within precise historical windows. • Optional Smart Stops: Add stop loss & take profit rules without changing the core logic—perfect for risk-managed deployment. 📈 Visual & Practical Features: • Multi-color bar analysis to identify strength, weakness, and transition zones. • Upper and lower dynamic bands for visualizing profit targets and range boundaries. • Buy/Sell signal labels with direction-aware logic to avoid choppy conditions. • Ideal for high-volatility assets (e.g., BTC) on short timeframes, but fully tunable for any market. Built for traders who value clarity over chaos, this strategy aims to reduce false signals and offer a cleaner execution framework for trend followers and breakout scalpers alike. > Make volatility your ally, not your enemy.
Pine Script®策略
由DefiBanked提供
1
Curved Trend Channels (Zeiierman)█ Overview Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic. This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development. █ How It Works ⚪ Adaptive Range Filter Foundation The core of the system is a volatility-based range filter that determines the underlying structure of the bands: Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range. Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price. Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity. ⚪ Curved Channel Logic In Curved Mode, the trend channel grows over time when the trend direction remains unchanged: Base Step Size (× ATR) – Sets the minimum unit of slope change. Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time. Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations. This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence. ⚪ Trend Slope As an alternative to curved logic, traders can activate a regular Trend slope using: Slope Length – Determines how quickly the trend line adapts to price shifts. Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes. ⚪ Candle Trend Confirmation A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action: Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement. █ How to Use ⚪ Trend Identification When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently. ⚪ Retest During ongoing trends, the price will often pull back into the dynamic channel. Look for: Support/resistance interactions at the upper or lower bands. █ Settings Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands. Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style. Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive. High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots. Band Multiplier – Widens or tightens the band range based on personal preference. Enable Curved Channel – Toggle between curved or regular trend slope behavior. Base Step (× ATR) – The starting point for curved slope progression. Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend. Slope – Reactivity of the standard trend line to price movements. Multiplicative Factor – Sensitivity adjustment for HyperTrend slope. Candle Trend Length – Lookback period for trend determination from candle structure. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script®指標
由Zeiierman提供
7
RSI-Adaptive T3 [ChartPrime]The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson , designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations. To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market. HOIW IT WORKS At its core, this indicator fuses two ideas: The T3 Moving Average — a 6-stage recursively smoothed exponential average created by Tim Tillson , designed to reduce lag without sacrificing smoothness. It uses a volume factor to control curvature. A Dynamic Length Engine — powered by the RSI. When RSI is low (market oversold), the T3 becomes shorter and more reactive. When RSI is high (overbought), the T3 becomes longer and smoother. This creates a feedback loop between price momentum and trend sensitivity. // Step 1: Adaptive length via RSI rsi = ta.rsi(src, rsiLen) rsi_scale = 1 - rsi / 100 len = math.round(minLen + (maxLen - minLen) * rsi_scale) pine_ema(src, length) => alpha = 2 / (length + 1) sum = 0.0 sum := na(sum ) ? src : alpha * src + (1 - alpha) * nz(sum ) sum // Step 2: T3 with adaptive length e1 = pine_ema(src, len) e2 = pine_ema(e1, len) e3 = pine_ema(e2, len) e4 = pine_ema(e3, len) e5 = pine_ema(e4, len) e6 = pine_ema(e5, len) c1 = -v * v * v c2 = 3 * v * v + 3 * v * v * v c3 = -6 * v * v - 3 * v - 3 * v * v * v c4 = 1 + 3 * v + v * v * v + 3 * v * v t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 The result: an evolving trend line that adapts to market tempo in real-time. KEY FEATURES ⯁ RSI-Based Adaptive Smoothing The length of the T3 calculation dynamically adjusts between a Min Length and Max Length , based on the current RSI. When RSI is low → the T3 shortens, tracking reversals faster. When RSI is high → the T3 stretches, filtering out noise during euphoria phases. Displayed length is shown in a floating table, colored on a gradient between min/max values. ⯁ T3 Calculation (Tim Tillson Method) The script uses a 6-stage EMA cascade with a customizable Volume Factor (v) , as designed by Tillson (1998) . Formula: T3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 This technique gives smoother yet faster curves than EMAs or DEMA/Triple EMA. ⯁ Visual Trend Direction & Transitions The T3 line changes color dynamically: Color Up (default: blue) → bullish curvature Color Down (default: orange) → bearish curvature Plot fill between T3 and delayed T3 creates a gradient ribbon to show momentum expansion/contraction. Directional shift markers (“🞛”) are plotted when T3 crosses its own delayed value — helping traders spot trend flips or pullback entries. ⯁ Adaptive Volatility Bands Optional upper/lower bands are plotted around the T3 line using a user-defined volatility window (default: 100). Bands widen when volatility rises, and contract during compression — similar to Bollinger logic but centered on the adaptive T3. Shaded band zones help frame breakout setups or mean-reversion zones. ⯁ Dynamic Info Table A live stats panel shows: Current adaptive length Maximum smoothing (▲ MaxLen) Minimum smoothing (▼ MinLen) All values update in real time and are color-coded to match trend direction. HOW TO USE Use T3 crossovers to detect trend transitions, especially during periods of volatility compression. Watch for volatility contraction in the bands — breakouts from narrow band periods often precede trend bursts. The adaptive smoothing length can also be used to assess current market tempo — tighter = faster; wider = slower. CONCLUSION RSI-Adaptive T3 modernizes one of the most elegant smoothing algorithms in technical analysis with intelligent RSI responsiveness and built-in volatility bands. It gives traders a cleaner read on trend health, directional shifts, and expansion dynamics — all in a visually efficient package. Perfect for scalpers, swing traders, and algorithmic modelers alike, it delivers advanced logic in a plug-and-play format.
Pine Script®指標
由ChartPrime提供
7
Buying/Selling ProxyTiltFolio Buying/Selling Proxy This simple but effective indicator visualizes short-term buying or selling pressure using log returns over a rolling window. How It Works: Calculates the average of logarithmic returns over the past N bars (default: 20). Positive values suggest sustained buying pressure; negative values indicate selling pressure. Plotted as a color-coded histogram: ✅ Green = net buying ❌ Red = net selling Why Use It: This proxy helps traders gauge directional bias and momentum beneath the surface of price action — especially useful for confirming breakout strength, timing entries, or filtering signals. - Inspired by academic return normalization, but optimized for practical use. - Use alongside TiltFolio's Breakout Trend indicator for added context.
Pine Script®指標
由TiltFolio提供
Breakout TrendTiltFolio Breakout Trend Indicator The Breakout Trend Indicator by TiltFolio helps traders identify powerful price movements by combining Donchian Channel breakouts with short- and long-term trend filters. Key Features: Donchian Channel Breakouts: Highlights bullish and bearish momentum as price breaks above recent highs or below recent lows. Trend Context: Includes customizable short- and long-term moving averages (SMA or EMA) to help filter trades in the direction of the broader trend. Breakout Memory: Remembers breakout states to avoid noise and maintain trend consistency. Bar Counter Display: Shows how many bars have passed since the most recent breakout, helping users assess trend strength and maturity. ATR Display: Built-in ATR (Average True Range) value offers a quick gauge of market volatility. Clean Visuals: Color-coded candles and optional channel lines keep the chart intuitive and uncluttered. This indicator is ideal for trend-following traders looking to stay on the right side of momentum while avoiding common whipsaws. Works best on higher timeframes (e.g. 4H, Daily, Weekly). Free and open — feel free to customize for your strategy. Follow TiltFolio for model portfolios and signals built on systematic methods.
Pine Script®指標
由TiltFolio提供
Regression Channel (Interactive)Weighted Interactive Regression Channel (WIRC) Overview The Weighted Interactive Regression Channel improves on traditional regression channels by emphasizing key price points through intelligent weighting. Instead of treating all candles equally, WIRC adapts to market dynamics for better trend detection and channel accuracy. Key Differences from Standard Channels Weighted vs. Equal: Prioritizes significant events over uniform weighting Dynamic vs. Static: Adapts in real time to market changes Accurate vs. Basic: Reduces noise, enhances signal clarity Customizable vs. Fixed: Full control over weights and visuals Weighting Methods Direction Change – Highlights reversal points via local peaks/troughs Volume-Based – Emphasizes high-volume candles, ideal for breakouts Price Range – Weights wide-range candles to capture volatility Time Decay – Prioritizes recent data for current market relevance Interactive Features Data Range: Set channel start/end over 1–500 bars Visuals: Line styles, color coding, fill options, reference lines Stats: Slope, R², standard deviation, point count, weight method Technical Implementation Weighted Regression Formula: Uses weights for slope, intercept, and deviation Channel Lines: Center = weighted regression; bounds = ± deviation × multiplier Usage Scenarios Trend Analysis: Use Direction Change + longer range Breakouts: Use Volume weighting + fill + boundary watching Volatility: Apply Price Range weighting + monitor standard deviation Current Market: Use Time Decay + shorter ranges + stat display Parameter Tips Channel Width: Narrow (1.0–1.5): Responsive Standard (1.5–2.0): Balanced Wide (2.0–3.0+): Conservative Weighting Intensity: Conservative (1.5–2.0) Moderate (2.0–3.0) Aggressive (3.0+) Advanced Use Multi-Timeframe: Use different weightings per timeframe Market Structure: Detect swings, institutional zones Risk Management: Dynamic S/R levels, volatility-driven sizing Best Practices Start with Direction Change Test different ranges Monitor stats Combine with other indicators Adjust to market context Recalibrate regularly Conclusion WIRC delivers a smarter, more adaptive view of price action than standard regression tools. With real-time customization and multiple weighting options, it’s ideal for traders seeking precision across strategies—trend tracking, breakout confirmation, or volatility insight.
Pine Script®指標
由ikendler提供
1