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อินดิเคเตอร์และกลยุทธ์

Multi-Pattern Candlestick Entry IndicatorKey Features: Bullish Patterns Detected: Hammer Inverted Hammer Bullish Engulfing Morning Star Piercing Pattern Dragonfly Doji Bearish Patterns Detected: Hanging Man Shooting Star Bearish Engulfing Evening Star Dark Cloud Cover Gravestone Doji Alert System: Bullish Entry Alert: Triggers when any bullish pattern is detected Bearish Entry Alert: Triggers when any bearish pattern is detected Customizable alert messages with pattern name and price level Visual Features: Green triangles below bars for bullish signals Red triangles above bars for bearish signals Pattern name labels on chart Background highlighting for confirmed entries Status table showing which patterns are enabled Customization Options: Enable/disable individual patterns Toggle visual elements (labels, shapes) Control alert preferences Pattern-specific on/off switches
อินดิเคเตอร์ Pine Script®
โดย traekiw
5
MACD Josh MACD Study — Visual Crossover Tags Overview: This script displays MACD signals in a clear, visual way by showing: Histogram = EMA(Fast) − EMA(Slow) Signal = EMA(Histogram, Signal Length) It adds labels and arrows to help you see crossover events between the Histogram and the Signal line more easily. ⚠️ Disclaimer: This tool is for educational and research purposes only. It is not financial advice or an investment recommendation. Past performance does not guarantee future results. Users should make their own decisions and manage risk responsibly. Features Central Zero Line with Signal and Histogram plots Optional labels/arrows to highlight Histogram–Signal crossovers Alerts for crossover and crossunder events, integrated with TradingView’s alert system Standard adjustable inputs: Fast EMA, Slow EMA, Signal EMA How to Interpret (for study only) When the Histogram crosses above the Signal, a visual label/arrow marks a positive MACD event When the Histogram crosses below the Signal, a visual label/arrow marks a negative MACD event The “BUY/SELL” labels are visual study tags only — they do not represent trade instructions or recommendations Responsible Usage Tips Test across multiple timeframes and different assets Combine with higher-timeframe trend, support/resistance, or volume for confirmation Use alerts with caution, and always test in a demo environment first Technical Notes The script does not use future data and does not repaint signals once bars are closed Results depend on market conditions and may vary across assets and timeframes License & Credits Written in Pine Script® v5 for TradingView The indicator name shown on chart is for labeling purposes only and carries no implication of advice or solicitation
อินดิเคเตอร์ Pine Script®
โดย JOSHSniper4569
⚪ Liquidity Spike Marker Description: The Liquidity Spike Marker indicator helps to identify abnormal bursts of liquidity in the market. The logic is based on comparing the product of the volume by the minimum candle price (Volume × Low) with the threshold value set by the user. When the value exceeds the threshold, a white triangle appears under the candle, indicating a possible influx of liquidity. This can help traders pay attention to the key points where large participants may enter the market. Features: Displays a placemark (⚪ white triangle) when the threshold is exceeded. Configurable parameter Volume × Low Threshold. The ability to set an alert for automatic notification. A lightweight and minimalistic tool without unnecessary elements. Note: The indicator is not a trading recommendation. Use it in combination with your own trading system and other analysis methods.
อินดิเคเตอร์ Pine Script®
โดย Zdorman
Swing S/R Bounce ScreenerStep 1: Identify Swing Highs & Lows on 1 minute timeframe - price bars that stand out from the 5 bars on each side (left and right). A swing high is a bar whose high is higher than the 5 bars before and after it. A swing low is a bar whose low is lower than the 5 bars before and after it. Step 2: Draw Horizontal Lines When a swing high/low is identified, the scanner draws a horizontal line from that point extending to the right of the chart. Step 3: Monitor Price Returns The scanner continuously watches for price to return to these horizontal lines. When price approaches and touches the line: *  Resistance: Price touches from below and closes below the line * Support: Price touches from above and closes above the line
อินดิเคเตอร์ Pine Script®
โดย qwccvsgm
Enhanced Chande Momentum OscillatorEnhanced Chande Momentum Oscillator (Enh CMO) 📊 Description The Enhanced Chande Momentum Oscillator is an advanced version of the classic Chande Momentum Oscillator with dynamic envelope boundaries that automatically adapt to market volatility. This indicator provides clear visual signals for potential price reversals and momentum shifts. Key Features: Original Chande Momentum Oscillator calculation Dynamic upper and lower boundaries based on statistical analysis Adaptive envelope that adjusts to market volatility Visual fill area between boundaries for easy interpretation Real-time values table with current readings Built-in alert conditions for boundary touches Customizable moving average types (SMA, EMA, WMA) ⚙️ Settings CMO Settings: CMO Length (9): Period for calculating the base Chande Momentum Oscillator Source (close): Price source for calculations Envelope Settings: Envelope Length (20): Lookback period for calculating the moving average and standard deviation Envelope Multiplier (1.5): Multiplier for standard deviation to create upper/lower bounds Moving Average Type (EMA): Type of moving average for envelope calculation 📈 How to Use Visual Elements Lines: White Line: Main Chande Momentum Oscillator Red Line: Upper boundary (resistance level) Green Line: Lower boundary (support level) Yellow Line: Moving average of CMO (trend direction) Purple Fill: Visual envelope between boundaries Reference Lines: Zero Line: Neutral momentum level +50/-50 Lines: Traditional overbought/oversold levels Trading Signals 🔴 Sell/Short Signals CMO touches or crosses above upper boundary → Potential bearish reversal CMO is above +50 and declining → Weakening bullish momentum CMO crosses below yellow MA line while above zero → Momentum shift 🟢 Buy/Long Signals CMO touches or crosses below lower boundary → Potential bullish reversal CMO is below -50 and rising → Weakening bearish momentum CMO crosses above yellow MA line while below zero → Momentum shift ⚡ Advanced Signals Boundary contraction → Decreasing volatility, potential breakout coming Boundary expansion → High volatility period, use wider stops CMO hugging upper boundary → Strong uptrend continuation CMO hugging lower boundary → Strong downtrend continuation 🎯 Trading Strategies Strategy 1: Reversal Trading Wait for CMO to touch extreme boundaries (red or green lines) Look for divergence with price action Enter counter-trend position when CMO starts moving back toward center Set stop beyond the boundary breach point Take profit near zero line or opposite boundary Strategy 2: Momentum Confirmation Use CMO direction to confirm trend Enter positions when CMO crosses above/below yellow MA line Hold positions while CMO remains on the correct side of MA Exit when CMO crosses back through MA line Strategy 3: Volatility Breakout Monitor boundary width (envelope expansion/contraction) When boundaries contract significantly, prepare for breakout Enter in direction of CMO breakout from narrow range Use boundary expansion as confirmation signal ⚠️ Important Notes Best Timeframes Scalping: 1m, 5m charts Day Trading: 15m, 30m, 1H charts Swing Trading: 4H, Daily charts Market Conditions Trending Markets: Focus on momentum confirmation signals Ranging Markets: Focus on boundary reversal signals High Volatility: Increase envelope multiplier (1.8-2.5) Low Volatility: Decrease envelope multiplier (1.0-1.3) Risk Management Always use stop losses beyond boundary levels Reduce position size during boundary expansion periods Combine with price action and support/resistance levels Monitor the real-time table for precise entry/exit levels 🔔 Alerts The indicator includes built-in alert conditions: "CMO Above Upper Bound": Potential reversal down signal "CMO Below Lower Bound": Potential reversal up signal Set these alerts to catch opportunities without constantly monitoring charts. 💡 Tips for Success Combine with other indicators: Use with RSI, MACD, or volume indicators for confirmation Watch for divergences: CMO making new highs/lows while price doesn't follow Use multiple timeframes: Check higher timeframe CMO for overall trend context Adjust settings for different assets: Crypto may need different settings than forex Paper trade first: Test the indicator with your trading style before using real money 🎨 Customization Tips Change colors in the Pine Script to match your chart theme Adjust envelope length for faster (shorter) or slower (longer) signals Modify envelope multiplier based on asset volatility Hide the table if it obstructs your view by commenting out the table section Complete trading solution: Pair with the Optimus Indicator (paid indicator) for multi-timeframe trend analysis and trend signals. Together they create a powerful confluence system for professional trading setups.
อินดิเคเตอร์ Pine Script®
โดย Jazzman34
MACD COM PONTOS//@version=5 indicator(title="MACD COM PONTOS", shorttitle="MACD COM PONTOS") //Plot Inputs res = input.timeframe("", "Indicator TimeFrame") fast_length = input.int(title="Fast Length", defval=12) slow_length = input.int(title="Slow Length", defval=26) src = input.source(title="Source", defval=close) signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 999, defval = 9) sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= ) sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= ) // Show Plots T/F show_macd = input.bool(true, title="Show MACD Lines", group="Show Plots?", inline="SP10") show_macd_LW = input.int(3, minval=0, maxval=5, title = "MACD Width", group="Show Plots?", inline="SP11") show_signal_LW= input.int(2, minval=0, maxval=5, title = "Signal Width", group="Show Plots?", inline="SP11") show_Hist = input.bool(true, title="Show Histogram", group="Show Plots?", inline="SP20") show_hist_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP20") show_trend = input.bool(true, title = "Show MACD Lines w/ Trend Color", group="Show Plots?", inline="SP30") show_HB = input.bool(false, title="Show Highlight Price Bars", group="Show Plots?", inline="SP40") show_cross = input.bool(false, title = "Show BackGround on Cross", group="Show Plots?", inline="SP50") show_dots = input.bool(true, title = "Show Circle on Cross", group="Show Plots?", inline="SP60") show_dots_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP60") //show_trend = input(true, title = "Colors MACD Lines w/ Trend Color", group="Show Plots?", inline="SP5") // MACD Lines colors col_macd = input.color(#FF6D00, "MACD Line ", group="Color Settings", inline="CS1") col_signal = input.color(#2962FF, "Signal Line ", group="Color Settings", inline="CS1") col_trnd_Up = input.color(#4BAF4F, "Trend Up ", group="Color Settings", inline="CS2") col_trnd_Dn = input.color(#B71D1C, "Trend Down ", group="Color Settings", inline="CS2") // Histogram Colors col_grow_above = input.color(#26A69A, "Above Grow", group="Histogram Colors", inline="Hist10") col_fall_above = input.color(#B2DFDB, "Fall", group="Histogram Colors", inline="Hist10") col_grow_below = input.color(#FF5252, "Below Grow", group="Histogram Colors",inline="Hist20") col_fall_below = input.color(#FFCDD2, "Fall", group="Histogram Colors", inline="Hist20") // Alerts T/F Inputs alert_Long = input.bool(true, title = "MACD Cross Up", group = "Alerts", inline="Alert10") alert_Short = input.bool(true, title = "MACD Cross Dn", group = "Alerts", inline="Alert10") alert_Long_A = input.bool(false, title = "MACD Cross Up & > 0", group = "Alerts", inline="Alert20") alert_Short_B = input.bool(false, title = "MACD Cross Dn & < 0", group = "Alerts", inline="Alert20") // Calculating fast_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)) slow_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)) macd = fast_ma - slow_ma signal = request.security(syminfo.tickerid, res, sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)) hist = macd - signal // MACD Trend and Cross Up/Down conditions trend_up = macd > signal trend_dn = macd < signal cross_UP = signal >= macd and signal < macd cross_DN = signal <= macd and signal > macd cross_UP_A = (signal >= macd and signal < macd) and macd > 0 cross_DN_B = (signal <= macd and signal > macd) and macd < 0 // Condition that changes Color of MACD Line if Show Trend is turned on.. trend_col = show_trend and trend_up ? col_trnd_Up : trend_up ? col_macd : show_trend and trend_dn ? col_trnd_Dn: trend_dn ? col_macd : na //Var Statements for Histogram Color Change var bool histA_IsUp = false var bool histA_IsDown = false var bool histB_IsDown = false var bool histB_IsUp = false histA_IsUp := hist == hist ? histA_IsUp : hist > hist and hist > 0 histA_IsDown := hist == hist ? histA_IsDown : hist < hist and hist > 0 histB_IsDown := hist == hist ? histB_IsDown : hist < hist and hist <= 0 histB_IsUp := hist == hist ? histB_IsUp : hist > hist and hist <= 0 hist_col = histA_IsUp ? col_grow_above : histA_IsDown ? col_fall_above : histB_IsDown ? col_grow_below : histB_IsUp ? col_fall_below :color.silver // Plot Statements //Background Color bgcolor(show_cross and cross_UP ? col_trnd_Up : na, editable=false) bgcolor(show_cross and cross_DN ? col_trnd_Dn : na, editable=false) //Highlight Price Bars barcolor(show_HB and trend_up ? col_trnd_Up : na, title="Trend Up", offset = 0, editable=false) barcolor(show_HB and trend_dn ? col_trnd_Dn : na, title="Trend Dn", offset = 0, editable=false) //Regular Plots plot(show_Hist and hist ? hist : na, title="Histogram", style=plot.style_columns, color=color.new(hist_col ,0),linewidth=show_hist_LW) plot(show_macd and signal ? signal : na, title="Signal", color=color.new(col_signal, 0), style=plot.style_line ,linewidth=show_signal_LW) plot(show_macd and macd ? macd : na, title="MACD", color=color.new(trend_col, 0), style=plot.style_line ,linewidth=show_macd_LW) hline(0, title="0 Line", color=color.new(color.gray, 0), linestyle=hline.style_dashed, linewidth=1, editable=false) plot(show_dots and cross_UP ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false) plot(show_dots and cross_DN ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false) //Alerts if alert_Long and cross_UP alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Up.", alert.freq_once_per_bar_close) if alert_Short and cross_DN alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Down.", alert.freq_once_per_bar_close) //Alerts - Stricter Condition - Only Alerts When MACD Crosses UP & MACD > 0 -- Crosses Down & MACD < 0 if alert_Long_A and cross_UP_A alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD > 0 And Crosses Up.", alert.freq_once_per_bar_close) if alert_Short_B and cross_DN_B alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD < 0 And Crosses Down.", alert.freq_once_per_bar_close) //End Code
อินดิเคเตอร์ Pine Script®
โดย felipenesio
Market Pressure Oscillator█ OVERVIEW The Market Pressure Oscillator is an advanced technical indicator for TradingView, enabling traders to identify potential trend reversals and momentum shifts through candle-based pressure analysis and divergence detection. It combines a smoothed oscillator with moving average signals, overbought/oversold levels, and divergence visualization, enhanced by customizable gradients, dynamic band colors, and alerts for quick decision-making. █ CONCEPT The indicator measures buying or selling pressure based on candle body size (open-to-close difference) and direction, with optional smoothing for clarity and divergence detection between price action and the oscillator. It relies solely on candle data, offering insights into trend strength, overbought/oversold conditions, and potential reversals with a customizable visual presentation. █ WHY USE IT? - Divergence Detection: Identifies bullish and bearish divergences to reinforce signals, especially near overbought/oversold zones. - Candle Pressure Analysis: Measures pressure based on candle body size, normalized to a ±100 scale. - Signal Generation: Provides buy/sell signals via overbought/oversold crossovers, zero-line crossovers, moving average zero-line crossovers, and dynamic band color changes. - Visual Clarity: Uses dynamic colors, gradients, and fill layers for intuitive chart analysis. Flexibility: Extensive settings allow customization to individual trading preferences. █ HOW IT WORKS? - Candle Pressure Calculation: Computes candle body size as math.abs(close - open), normalized against the average body size over a lookback period (avgBody = ta.sma(body, len)). - Candle direction (bullish: +1, bearish: -1, neutral: 0) is multiplied by body weight to derive pressure. - Cumulative Pressure: Sums pressure values over the lookback period (Lookback Length) and normalizes to ±100 relative to the maximum possible value. - Smoothing: Optionally applies EMA (Smoothing Length) to normalized pressure. - Moving Average: Calculates SMA (Moving Average Length) for trend confirmation (Moving Average (SMA)). - Divergence Detection: Identifies bullish/bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length). Divergence signals appear with a delay equal to the Pivot Length. - Signals: Generates signals for: Crossing oversold upward (buy) or overbought downward (sell). Crossing the zero line by the oscillator or moving average (buy/sell). Bullish/bearish divergences, marked with labels, enhancing signals, especially near overbought/oversold zones. Dynamic band color changes when the moving average crosses MA overbought/oversold thresholds (green for oversold, red for overbought). - Visualization: Plots the oscillator and moving average with dynamic colors, gradient fills, transparent bands, and labels, with customizable overbought/oversold levels. Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero-line crossovers (oscillator and moving average). █ SETTINGS AND CUSTOMIZATION - Lookback Length: Period for aggregating candle pressure (default: 14). - Smoothing Length (EMA): EMA length for smoothing the oscillator (default: 1). Higher values smooth the signal but may reduce signal frequency; adjust overbought/oversold levels accordingly. - Moving Average Length (SMA): SMA length for the moving average (default: 14, minval=1). Higher values make SMA a trend indicator, requiring adjusted MA overbought/oversold levels. - Pivot Length (Left/Right): Candles for detecting pivot highs/lows in divergence calculations (default: 2, minval=1). Higher values reduce noise but add delay equal to the set value. - Enable Divergence Detection: Enables divergence detection (default: true). - Overbought/Oversold Levels: Thresholds for the oscillator (default: 30/-30) and moving average (default: 10/-10). For the moving average, no arrows appear; bands change color from gray to green (oversold) or red (overbought), reinforcing entry signals. - Signal Type: Select signals to display: "None", "Overbought/Oversold", "Zero Line", "MA Zero Line", "All" (default: "Overbought/Oversold"). - Colors and Gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels. - Transparency: Adjust gradient fill transparency (default: 70, minval=0, maxval=100) and band/label transparency (default: 40, minval=0, maxval=100) for consistent visuals. - Visualizations: Enable/disable moving average, gradients for zero/overbought/oversold levels, and gradient fills. █ USAGE EXAMPLES - Momentum Analysis: Observe the MPO Oscillator above 0 for bullish momentum or below 0 for bearish momentum. The SMA, being smoother, reacts slower and can confirm trend direction as a noise filter. - Reversal Signals: Look for buy triangles when the oscillator crosses oversold upward, especially when the SMA is below the MA oversold threshold and the band turns green. Similarly, seek sell triangles when crossing overbought downward, with the SMA above the MA overbought threshold and the band turning red. - Using Divergences: Treat bullish (green labels) and bearish (red labels) divergences as reinforcement for other signals, especially near overbought/oversold zones, indicating stronger potential trend reversals. - Customization: Adjust lookback length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals. █ USER NOTES Combine the indicator with tools like Fibonacci levels or pivot points to enhance accuracy. Test different settings for lookback length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
อินดิเคเตอร์ Pine Script®
โดย Uncle_the_shooter
Initial Balance SMC-V3 Initial Balance SMC-V3 – An Advanced Mean Reversion Indicator for Index Markets The Initial Balance SMC-V3 indicator is the result of continuous refinement in mean reversion trading, with a specific focus on index markets (such as DAX, NASDAQ, S&P 500, etc.). Designed for high-liquidity environments with controlled volatility, it excels at precisely identifying value zones and statistical reversal points within market structure. 🔁 Mean Reversion at Its Core At the heart of this indicator lies a robust mean reversion logic: rather than chasing extreme breakouts, it seeks returns toward equilibrium levels after impulsive moves. This makes it especially effective in ranging markets or corrective phases within broader trends—situations where many traders get caught in false breakouts. 🎯 Signals Require Breakout + Confirmation Signals are never generated impulsively. Instead, they require a clear sequence of confirmations: Break of a key level (e.g., Initial Balance high/low or an SMC zone); Price re-entry into the range accompanied by a crossover of customizable moving averages (SMA, EMA, HULL, TEMA, etc.); RSI filter to avoid entries in overbought/oversold extremes; Volatility filter (ATR) to skip low-volatility, choppy conditions. This multi-layered approach drastically reduces false signals and significantly improves trade quality. 📊 Built-in Multi-Timeframe Analysis The indicator features native multi-timeframe logic: H1 / 15-minute charts: for structural analysis and identification of Supply & Demand zones (SMC); M1 / M5 charts: for precise trade execution, with targeted entries and dynamic risk management. SMC zones are calculated on higher timeframes (e.g., 4H) to ensure structural reliability, while actual trade signals trigger on lower timeframes for maximum precision. ⚙️ Advanced Customization Full choice of moving average type (SMA, EMA, WMA, RMA, VWMA, HULL, TEMA, ZLEMA, etc.); Revenge Trading logic: after a stop loss is hit without reaching the 1:1 breakeven level, the indicator automatically prepares for a counter-trade; Dynamic ATR-based stop loss with customizable multiplier; Session filters to trade only during optimal liquidity windows (e.g., European session). 🧠 Who Is It For? This indicator is ideal for traders who: Primarily trade indices; Prefer mean reversion strategies over pure trend-following; Seek a disciplined, rule-based system with multiple confluence filters; Use a multi-timeframe approach to separate analysis from execution. In short: Initial Balance SMC-V3 is more than just an indicator—it’s a complete trading framework for mean reversion on index markets, where every signal emerges from a confluence of statistical, structural, and temporal factors. Happy trading! 📈
อินดิเคเตอร์ Pine Script®
โดย alessia1973f
Hosoda’s CloudsMany investors aim to develop trading systems with a high win rate, mistakenly associating it with substantial profits. In reality, high returns are typically achieved through greater exposure to market trends, which inevitably lowers the win rate due to increased risk and more volatile conditions. The system I present, called “Hosoda’s Clouds” in honor of Goichi Hosoda , the creator of the Ichimoku Kinko Hyo indicator, is likely one of the first profitable systems many traders will encounter. Designed to capture trends, it performs best in markets with clear directional movements and is less suitable for range-bound markets like Forex, which often exhibit lateral price action. This system is not recommended for low timeframes, such as minute charts, due to the random and emotionally driven nature of price movements in those periods. For a deeper exploration of this topic, I recommend reading my article “Timeframe is Everything”, which discusses the critical importance of selecting the appropriate timeframe. I suggest testing and applying the “Hosoda’s Clouds” strategy on assets with a strong trending nature and a proven track record of performance. Ideal markets include Tesla (1-hour, 4-hour, and daily), BTC/USDT (daily), SPY (daily), and XAU/USD (daily), as these have consistently shown clear directional trends over time. Commissions and Configuration Commissions can be adjusted in the system’s settings to suit individual needs. For evaluating the effectiveness of “Hosoda’s Clouds,” I’ve used a standard commission of $1 per order as a baseline, though this can be modified in the code to accommodate different brokers or preferences. The margin per trade is set to $1,000 by default, but users are encouraged to experiment with different margin settings in the configuration to match their trading style. Rules of the “Hosoda’s Clouds” System (Bullish Strategy) This strategy is designed to capture trending movements in bullish markets using the Ichimoku Kinko Hyo indicator. The rules are as follows: Long Entry: A long position is triggered when the Tenkan-sen crosses above the Kijun-sen below the Ichimoku cloud, identifying potential reversals or bounces in a bearish context. Stop Loss (SL): Placed at the low of the candle 12 bars prior to the entry candle. This setting has proven optimal in my tests, but it can be adjusted in the code based on risk tolerance. Take Profit (TP): The position is closed when the Tenkan-sen crosses below the bottom of the Ichimoku cloud (the minimum of Senkou Span A and Senkou Span B). Notes on the Code margin_long=0: Ideal for strategies requiring a fixed position size, particularly useful for manual entries or testing with a constant capital allocation. margin_long=100: Recommended for high-frequency systems where positions are closed quickly, simulating gradual growth based on realized profits and reflecting real-world broker constraints. System Performance The following performance metrics account for $1 per order commissions and were tested on the specified assets and timeframes: Tesla (H1) Trades: 148 Win Rate: 29.05% Period: Jan 2, 2014 – Jan 6, 2020 (+172%) Simple Annual Growth Rate: +34.3% Trades: 130 Win Rate: 30.77% Period: Jan 2, 2020 – Sep 24, 2025 (+858.90%) Simple Annual Growth Rate: +150.7% Tesla (H4) Trades: 102 Win Rate: 32.35% Period: Jun 29, 2010 – Sep 24, 2025 (+11,356.36%) Simple Annual Growth Rate: +758.5% Tesla (Daily) Trades: 56 Win Rate: 35.71% Period: Jun 29, 2010 – Sep 24, 2025 (+3,166.64%) Simple Annual Growth Rate: +211.5% BTC/USDT (Daily) Trades: 44 Win Rate: 31.82% Period: Sep 30, 2017 – Sep 24, 2025 (+2,592.23%) Simple Annual Growth Rate: +324.8% SPY (Daily) Trades: 81 Win Rate: 37.04% Period: Jan 23, 1993 – Sep 24, 2025 (+476.90%) Simple Annual Growth Rate: +14.3% XAU/USD (Daily) Trades: 216 Win Rate: 32.87% Period: Jan 6, 1833 – Sep 24, 2025 (+5,241.73%) Simple Annual Growth Rate: +27.1% SPX (Daily) Trades: 217 Win Rate: 38.25% Period: Feb 1, 1871 – Sep 24, 2025 (+16,791.02%) Simple Annual Growth Rate: +108.1% Conclusion With the “ Hosoda’s Clouds ” strategy, I aim to showcase the potential of technical analysis to generate consistent profits in trending markets, challenging recent doubts about its effectiveness. My goal is for this system to serve as both a practical tool for traders and a source of inspiration for the trading community I deeply respect. I hope it encourages the creation of new strategies, fosters creativity in technical analysis, and empowers traders to approach the markets with confidence and discipline.
กลยุทธ์ Pine Script®
โดย Especulador96
2
Consensio with colouringConsensio MA - Short MA with Colouring This is a trend-following indicator based on the stacking order of three Simple Moving Averages (SMAs) to determine market consensus and visualize strength using a monochrome scale. Key Features: Three Customizable SMAs: Fast MA (Default: 2) Standard MA (Default: 7) Slow MA (Default: 30) Consensus Index: The indicator assigns a score from +3 (Strongest Buy) to -3 (Strongest Sell) based on the MAs' vertical order (e.g., Fast > Standard > Slow is +3). Monochrome Bar Colouring: Bullish Consensus (+1 to +3): Bars are coloured in shades of White to Light Gray. Bearish Consensus (-1 to -3): Bars are coloured in shades of Black to Dark Gray. The intensity of the colour directly reflects the strength of the consensus. Dynamic MA Line Colouring: Fast MA: Changes colour upon crossing the Standard or Slow MA to signal short-term momentum shifts. Standard MA: Changes to Green/Red when crossing the Slow MA. Slow MA: Changes to Green/Red only when the strongest consensus (+3 or -3) is achieved. How to Interpret: Strong Bullish Trend (+3): MAs are perfectly aligned (Fast > Standard > Slow) and the bar is pure White. Strong Bearish Trend (-3): MAs are perfectly reversed (Slow > Standard > Fast) and the bar is pure Black. Contradictory Signals: Use the Fast MA's colour changes (Dark Green/Red) to spot immediate momentum changes even if the bar colour indicates a weaker trend.
อินดิเคเตอร์ Pine Script®
โดย waczo89
Volume DMAO [DCAUT]█ Volume DMAO Indicator 📊 OVERVIEW The Volume DMAO (Dual Moving Average Oscillator) applies PPO-style calculation to volume data rather than price. It measures the percentage difference between fast and slow moving averages of volume, providing insights into volume momentum and market participation trends. 🎯 CONCEPTS Signal Interpretation Positive Values : Current volume above historical average (expansion phase) Negative Values : Current volume below historical average (contraction phase) Rising Trend : Volume momentum accelerating (increasing participation) Falling Trend : Volume momentum decelerating (decreasing participation) Primary Applications Volume Confirmation : Validate price movements with volume momentum analysis Divergence Detection : Spot potential reversals when volume diverges from price Trend Strength : Assess volume participation in price trends Entry/Exit Signals : Time trades based on volume momentum shifts 📋 PARAMETER SETUP Input Parameters Fast Length : Period for fast moving average (default: 12) Slow Length : Period for slow moving average (default: 50) MA Type : Moving average algorithm (default: EMA) 📊 COLOR CODING Histogram Colors Dark Green : Positive and rising (strong volume expansion) Light Green : Positive and falling (weakening volume expansion) Light Red : Negative and rising (recovering from volume contraction) Dark Red : Negative and falling (strong volume contraction) 💡 CORE VALUE Unlike traditional volume indicators, Volume DMAO provides normalized percentage readings that: - Enable comparison across different timeframes and instruments - Reveal volume momentum changes before price movements - Identify market phases through volume participation analysis
อินดิเคเตอร์ Pine Script®
โดย DCAUT
Volume-Price Divergence Indicator (OBV + VWAP, Multi-Timeframe)Description: This indicator helps you identify volume-price divergences and potential trend weakness across any specified timeframe. Features: Volume bars with moving average – green for bullish, red for bearish, with orange SMA to detect low-volume situations. Custom OBV calculation with divergence detection – highlights when price makes new highs/lows but OBV does not. VWAP deviation alerts – signals when price moves far from VWAP while volume remains low, indicating potential fake breakouts. Fully configurable – select any reference timeframe, adjust volume MA, OBV period, and VWAP deviation threshold. Visual markers – easily spot bullish/bearish divergences and volume-price mismatches directly on your chart. Use case: Spot early trend exhaustion points. Identify fake breakouts or weak rallies/drops. Combine with your existing trading strategy for more informed entries and exits.
อินดิเคเตอร์ Pine Script®
โดย web3moon
Volume-Weighted RSI & Multi-Normalized MACD### Description for Publishing: Volume-Weighted RSI & Multi-Normalized MACD **Overview** The "Volume-Weighted RSI & Multi-Normalized MACD" indicator is a powerful and versatile tool designed for traders seeking enhanced momentum and trend analysis. Combining a volume-weighted Relative Strength Index (VW-RSI) with a customizable Moving Average Convergence Divergence (MACD) featuring multiple normalization methods, this indicator provides deep insights into market dynamics. It supports multi-timeframe (MTF) analysis and includes an optional stepped plotting mode for discrete signal visualization, making it ideal for both trend-following and mean-reversion strategies across various markets (stocks, forex, crypto, etc.). **Key Features** 1. **Volume-Weighted RSI (VW-RSI)**: - A modified RSI that incorporates trading volume for greater sensitivity to market activity. - Normalized to a user-defined range (default: -50 to +50) for consistent analysis. - Optional smoothing with multiple moving average types (SMA, EMA, WMA, VWMA, SMMA, or SMA with Bollinger Bands) to reduce noise and highlight trends. - Overbought (+20) and oversold (-20) levels for quick reference. 2. **Multi-Normalized MACD**: - Offers six normalization methods for MACD, allowing traders to tailor the output to their strategy: - Normalized Volume Weighted MACD (unbounded). - Min-Max Normalization (bounded). - Volatility Normalization (unbounded, volatility-adjusted). - Volatility Normalization with Min-Max (bounded). - Hyperbolic Tangent Normalization (bounded). - Arctangent Normalization (bounded). - Min-Max with Smoothing (bounded). - All bounded methods scale to the user-defined range (default: -50 to +50), ensuring comparability with VW-RSI. - Dynamic color changes for MACD line (lime/red) and histogram (aqua/blue/red/maroon) based on momentum and signal line crosses. 3. **Stepped Plotting Mode**: - Optional mode to plot RSI and MACD as discrete, stepped lines, reducing noise by only updating when values change significantly (configurable thresholds). - Ideal for traders focusing on clear, actionable signal changes. 4. **Multi-Timeframe Support**: - Configurable timeframe input (default: chart timeframe) for analyzing RSI and MACD on higher or lower timeframes, enhancing cross-timeframe strategies. 5. **Customizable Display**: - Toggle options to show/hide MACD line, signal line, histogram, and cross dots. - Bollinger Bands for RSI smoothing (optional) with adjustable standard deviation multiplier. - Clear visual cues with horizontal lines for overbought/oversold levels, midline, and MACD bounds. **Usage Instructions** 1. **Add to Chart**: Apply the indicator to any symbol (e.g., BTCUSD, SPY) on any timeframe (1H, 1D, etc.). 2. **Configure Settings**: - **General**: Adjust `Lower Bound` (-50 default) and `Upper Bound` (+50 default) for the output range. Set `Timeframe` for MTF analysis. Enable `Stepped?` for discrete plotting. - **RSI**: Choose `Price Source` (default: ohlc4), `RSI Length` (default: 9), and smoothing options (e.g., EMA, Bollinger Bands). Adjust `RSI Diff Threshold` for stepped mode. - **MACD**: Select `Price Source`, `Fast Length` (9), `Slow Length` (21), `Signal Length` (9), and a normalization method (default: Volatility Min-Max). Adjust `MACD Diff Threshold` for stepped mode. - **Display Options**: Toggle MACD components and histogram colors for clarity. 3. **Interpretation**: - **VW-RSI**: Watch for crosses above +20 (overbought) or below -20 (oversold) for potential reversals. Use smoothed RSI or Bollinger Bands for trend confirmation. - **MACD**: Look for MACD/Signal line crosses (dots indicate crossings) and histogram changes for momentum shifts. Bounded normalizations align with RSI for unified analysis. - **Stepped Mode**: Focus on significant changes in RSI/MACD for clearer signals. 4. **Companion Overlay**: For visualization on the main price chart, use the companion script "VW-RSI & MACD Price Overlay" (available separately, requires this script to be published). It plots RSI and MACD as price-scaled echo lines, with toggles to show/hide and customizable scaling (high/low or ATR). **Who Is This For?** - **Trend Traders**: Use MACD normalizations and MTF to identify momentum shifts across timeframes. - **Mean-Reversion Traders**: Leverage VW-RSI’s overbought/oversold signals for entry/exit points. - **Technical Analysts**: Customize normalization and smoothing to match specific market conditions. - **All Markets**: Works on stocks, forex, cryptocurrencies, and more, with any timeframe. **Notes** - Unbounded MACD normalizations (`enable_nvw`, `enable_vol`) may produce values outside -50/+50, suitable for volatility-focused strategies. - For price chart overlay, publish this script and use its ID in the companion script’s `request.security` call. - Adjust scaling inputs in the companion script for optimal visualization on volatile or stable assets. **Author’s Note** Developed by NEPOLIX, this indicator combines volume-weighted precision with flexible normalization for robust technical analysis. Feedback and suggestions are welcome to enhance future versions!
อินดิเคเตอร์ Pine Script®
โดย nepolix
8
MC WITH ALERTS DINESH SETHIYAManipulation Candle (MC): A candlestick that initially suggests price movement in one direction but then reverses, manipulating liquidity and closing in the opposite direction. Types of MCs: Bullish MC: Takes out the previous candle's low, reverses, takes out the previous candle's high, and closes above it. Bearish MC: Takes out the previous candle's high, reverses, takes out the previous candle's low, and closes below it. Ideal MC Characteristic: The rejection wick (bottom wick for bullish MC, top wick for bearish MC) should be larger than the directional wick.
อินดิเคเตอร์ Pine Script®
โดย astatrader24
UpDownBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear Zone
อินดิเคเตอร์ Pine Script®
โดย iuzxzbfhm
ATH Projection (2013, 2017, 2021 -> 2025)//@version=6 indicator(title="ATH Projection (2013, 2017, 2021 -> 2025)", overlay=true, max_labels_count=20, max_lines_count=20) // ----------- Inputs (ATH manuels) ----------- t1 = input.time(defval=timestamp("2013-12-01T00:00:00"), title="Date ATH #1 (2013)") p1 = input.float(defval=1100.0, title="Prix ATH #1 (2013)") t2 = input.time(defval=timestamp("2017-12-01T00:00:00"), title="Date ATH #2 (2017)") p2 = input.float(defval=20000.0, title="Prix ATH #2 (2017)") t3 = input.time(defval=timestamp("2021-11-01T00:00:00"), title="Date ATH #3 (2021)") p3 = input.float(defval=69000.0, title="Prix ATH #3 (2021)") // Projection future (ex: fin 2025) t_proj = input.time(defval=timestamp("2025-12-01T00:00:00"), title="Date cible (fin 2025)") // ----------- Utilitaire ----------- f_days(t) => ((t - t1) / 86400000.0) + 1.0 // nb jours depuis t1 (+1 pour éviter log(0)) // ----------- Coordonnées X (jours) ----------- x1 = f_days(t1) x2 = f_days(t2) x3 = f_days(t3) xP = f_days(t_proj) // ----------- Régression power-law (3 points) ----------- X1 = math.log(x1), Y1 = math.log(p1) X2 = math.log(x2), Y2 = math.log(p2) X3 = math.log(x3), Y3 = math.log(p3) n = 3.0 sumX = X1 + X2 + X3 sumY = Y1 + Y2 + Y3 sumX2 = X1*X1 + X2*X2 + X3*X3 sumXY = X1*Y1 + X2*Y2 + X3*Y3 denom = n*sumX2 - sumX*sumX var float a = na var float b = na b := denom != 0 ? (n*sumXY - sumX*sumY) / denom : na a := na(b) ? na : math.exp((sumY - b*sumX) / n) // ----------- Courbe au fil des barres ----------- x_now = f_days(time) curve = (not na(a) and not na(b) and x_now > 0) ? a * math.pow(x_now, b) : na plot(series=curve, title="Courbe prévision (power-law)", color=color.fuchsia, linewidth=2) // ----------- Projection fin 2025 ----------- proj2025 = (not na(a) and not na(b) and xP > 0) ? a * math.pow(xP, b) : na bi_proj = ta.valuewhen(time >= t_proj, bar_index, 0) x_for_label = na(bi_proj) ? bar_index : bi_proj // Label affichant la projection var label lbl = na if barstate.islast and not na(proj2025) txt = "Projection 2025 ≈ " + str.tostring(proj2025, format.price) if na(lbl) lbl := label.new(x=x_for_label, y=proj2025, text=txt, xloc=xloc.bar_index, style=label.style_label_up, color=color.green, textcolor=color.white, size=size.normal) else label.set_x(id=lbl, x=x_for_label) label.set_y(id=lbl, y=proj2025) label.set_text(id=lbl, text=txt)
อินดิเคเตอร์ Pine Script®
โดย Musayisme
Volume (Custom Timeframe & Color)This indicator displays volume data from a custom timeframe, regardless of the current chart resolution. The bar color is determined by the price movement of the selected timeframe (green for bullish, red for bearish). Features: - Select any custom timeframe for volume (e.g., 5m, 15m, 1h, 1D). - Volume bars are painted according to the candle direction of that timeframe. - Useful for multi-timeframe analysis and detecting higher timeframe volume trends. Inspired by TradingView’s built-in Volume indicator, but enhanced with custom timeframe and consistent coloring.
อินดิเคเตอร์ Pine Script®
โดย web3moon
mohamed rebouh zigzag// // mohamed rebouh //@version=5 // // THIS CODE IS BASED FROM THE MT4 ZIGZAG INDICATOR // THE ZIGZAG SETTINGS FOR THE MAIN ONE ON TRADINGVIEW DO NOT WORK THE SAME AS MT4 // I HOPE U LOVE IT // indicator(' mohamed rebouh ', overlay=true) // inputs Depth = input(12, title='Depth') // Depth Deviation = input(5, title='Deviation') // Deviation // ZigZag var lastlow = 0.0 var lasthigh = 0.0 data(x) => d = request.security(syminfo.tickerid, timeframe.period, x) d getLow(x, y, z, a) => lastlow1 = y v = data(x) m = v == lastlow1 or data(z) - v > a * syminfo.mintick if v != lastlow1 lastlow1 := v if m v := 0.0 v getHigh(x, y, z, a) => lasthigh1 = y v = data(x) m = v == lasthigh1 or v - data(z) > a * syminfo.mintick if v != lasthigh1 lasthigh1 := v if m v := 0.0 v = getLow(ta.lowest(Depth), lastlow, low, Deviation) lastlow := e zBB = v != 0.0 = getHigh(ta.highest(Depth), lasthigh, high, Deviation) lasthigh := e1 zSS = v1 != 0.0 zigzagDirection = -1 zigzagHigh = 0 zigzagLow = 0 zigzagDirection := zBB ? 0 : zSS ? 1 : nz(zigzagDirection , -1) virtualLow = zigzagLow + 1 if not zBB or zBB and zigzagDirection == zigzagDirection and low > low zigzagLow := nz(zigzagLow ) + 1 zigzagLow virtualHigh = zigzagHigh + 1 if not zSS or zSS and zigzagDirection == zigzagDirection and high < high zigzagHigh := nz(zigzagHigh ) + 1 zigzagHigh line zigzag = line.new(bar_index - zigzagLow, low , bar_index - zigzagHigh, high , color=color.red, style=line.style_solid, width=2) if zigzagDirection == zigzagDirection line.delete(zigzag )
อินดิเคเตอร์ Pine Script®
โดย mohamed_rebouh00
1
Tristan's Star: 15m Shooting Star DetectorThis script is designed to be used on the 1-minute chart , but it analyzes the market as if you were watching the 15-minute candles. Every cluster of 15 one-minute candles is grouped together and treated as a single 15-minute candle. When that 15-minute “synthetic” candle looks like a shooting star pattern (small body near the low, long upper wick, short lower wick, bearish bias), the script triggers a signal. At the close of that 15-minute cluster, the script will: Plot a single “Sell” label on the last 1-minute bar of the group. Draw a horizontal line across the 15 bars at the high, showing the level that created the shooting star. Optionally display a table cell in the corner with the word “SELL.” This lets you stay on the 1-minute timeframe for precision entries and exits, while still being alerted when the higher-timeframe (15-minute) shows a bearish reversal pattern.
อินดิเคเตอร์ Pine Script®
โดย OhRayOhRay
1