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Mutanabby_AI | Ultimate Algo | Remastered+Overview The Mutanabby_AI Ultimate Algo Remastered+ represents a sophisticated trend-following system that combines Supertrend analysis with multiple moving average confirmations. This comprehensive indicator is designed specifically for identifying high-probability trend continuation and reversal opportunities across various market conditions. Core Algorithm Components **Supertrend Foundation**: The primary signal generation relies on a customizable Supertrend indicator with adjustable sensitivity (1-20 range). This adaptive trend-following tool uses Average True Range calculations to establish dynamic support and resistance levels that respond to market volatility. **SMA Confirmation Matrix**: Multiple Simple Moving Averages (SMA 4, 5, 9, 13) provide layered confirmation for signal strength. The algorithm distinguishes between regular signals and "Strong" signals based on SMA 4 vs SMA 5 relationship, offering traders different conviction levels for position sizing. **Trend Ribbon Visualization**: SMA 21 and SMA 34 create a visual trend ribbon that changes color based on their relationship. Green ribbon indicates bullish momentum while red signals bearish conditions, providing immediate visual trend context. **RSI-Based Candle Coloring**: Advanced 61-tier RSI system colors candles with gradient precision from deep red (RSI ≤20) through purple transitions to bright green (RSI ≥79). This visual enhancement helps traders instantly assess momentum strength and overbought/oversold conditions. Signal Generation Logic **Buy Signal Criteria**: - Price crosses above Supertrend line - Close price must be above SMA 9 (trend confirmation) - Signal strength determined by SMA 4 vs SMA 5 relationship - "Strong Buy" when SMA 4 ≥ SMA 5 - Regular "Buy" when SMA 4 < SMA 5 **Sell Signal Criteria**: - Price crosses below Supertrend line - Close price must be below SMA 9 (trend confirmation) - Signal strength based on SMA relationship - "Strong Sell" when SMA 4 ≤ SMA 5 - Regular "Sell" when SMA 4 > SMA 5 Advanced Risk Management System **Automated TP/SL Calculation**: The indicator automatically calculates stop loss and take profit levels using ATR-based measurements. Risk percentage and ATR length are fully customizable, allowing traders to adapt to different market conditions and personal risk tolerance. **Multiple Take Profit Targets**: - 1:1 Risk-Reward ratio for conservative profit taking - 2:1 Risk-Reward for balanced trade management - 3:1 Risk-Reward for maximum profit potential **Visual Risk Display**: All risk management levels appear as both labels and optional trend lines on the chart. Customizable line styles (solid, dashed, dotted) and positioning ensure clear visualization without chart clutter. **Dynamic Level Updates**: Risk levels automatically recalculate with each new signal, maintaining current market relevance throughout position lifecycles. Visual Enhancement Features **Customizable Display Options**: Toggle trend ribbon, TP/SL levels, and risk lines independently. Decimal precision adjustments (1-8 decimal places) accommodate different instrument price formats and personal preferences. **Professional Label System**: Clean, informative labels show entry points, stop losses, and take profit targets with precise price levels. Labels automatically position themselves for optimal chart readability. **Color-Coded Momentum**: The gradient RSI candle coloring system provides instant visual feedback on momentum strength, helping traders assess market energy and potential reversal zones. Implementation Strategy **Timeframe Optimization**: The algorithm performs effectively across multiple timeframes, with higher timeframes (4H, Daily) providing more reliable signals for swing trading. Lower timeframes work well for day trading with appropriate risk adjustments. **Sensitivity Adjustment**: Lower sensitivity values (1-5) generate fewer but higher-quality signals, ideal for conservative approaches. Higher sensitivity (15-20) increases signal frequency for active trading styles. **Risk Management Integration**: Use the automated risk calculations as baseline parameters, adjusting risk percentage based on account size and market conditions. The 1:1, 2:1, 3:1 targets enable systematic profit-taking strategies. Market Application **Trend Following Excellence**: Primary strength lies in capturing significant trend movements through the Supertrend foundation with SMA confirmation. The dual-layer approach reduces false signals common in single-indicator systems. **Momentum Assessment**: RSI-based candle coloring provides immediate momentum context, helping traders assess signal strength and potential continuation probability. **Range Detection**: The trend ribbon helps identify ranging conditions when SMA 21 and SMA 34 converge, alerting traders to potential breakout opportunities. Performance Optimization **Signal Quality**: The requirement for both Supertrend crossover AND SMA 9 confirmation significantly improves signal reliability compared to basic trend-following approaches. **Visual Clarity**: The comprehensive visual system enables rapid market assessment without complex calculations, ideal for traders managing multiple instruments. **Adaptability**: Extensive customization options allow fine-tuning for specific markets, trading styles, and risk preferences while maintaining the core algorithm integrity. ## Non-Repainting Design **Educational Note**: This indicator uses standard TradingView functions (Supertrend, SMA, RSI) with normal behavior patterns. Real-time updates on current candles are expected and standard across all technical indicators. Historical signals on closed candles remain fixed and unchanged, ensuring reliable backtesting and analysis. **Signal Confirmation**: Final signals are confirmed only when candles close, following standard technical analysis principles. The algorithm provides clear distinction between developing signals and confirmed entries. Technical Specifications **Supertrend Parameters**: Default sensitivity of 4 with ATR length of 11 provides balanced signal generation. Sensitivity range from 1-20 allows adaptation to different market volatilities and trading preferences. **Moving Average Configuration**: SMA periods of 8, 9, and 13 create multi-layered trend confirmation, while SMA 21 and 34 form the visual trend ribbon for broader market context. **Risk Management**: ATR-based calculations with customizable risk percentage ensure dynamic adaptation to market volatility while maintaining consistent risk exposure principles. Recommended Settings **Conservative Approach**: Sensitivity 4-5, RSI length 14, higher timeframes (4H, Daily) for swing trading with maximum signal reliability. **Active Trading**: Sensitivity 6-8, RSI length 8-10, intermediate timeframes (1H) for balanced signal frequency and quality. **Scalping Setup**: Sensitivity 10-15, RSI length 5-8, lower timeframes (15-30min) with enhanced risk management protocols. ## Conclusion The Mutanabby_AI Ultimate Algo Remastered+ combines proven trend-following principles with modern visual enhancements and comprehensive risk management. The algorithm's strength lies in its multi-layered confirmation approach and automated risk calculations, providing both novice and experienced traders with clear signals and systematic trade management. Success with this system requires understanding the relationship between signal strength indicators and adapting sensitivity settings to match current market conditions. The comprehensive visual feedback system enables rapid decision-making while the automated risk management ensures consistent trade parameters. Practice with different sensitivity settings and timeframes to optimize performance for your specific trading style and risk tolerance. The algorithm's systematic approach provides an excellent framework for disciplined trend-following strategies across various market environments.
Indicador Pine Script®
por Mutanabby_AI
4
EMA Pullback Entry SignalsEMA Pullback Entry Signals is a tool designed to help traders identify trend continuation opportunities by detecting price pullbacks toward a slow EMA (Exponential Moving Average) during trending conditions. This indicator combines moving average crossovers, price interaction with EMAs, and optional filtering to improve the timing and quality of trend entries. Core Features: Golden Cross / Death Cross Detection Golden Cross: Fast EMA crossing above Slow EMA Death Cross: Fast EMA crossing below Slow EMA Optional X-shaped markers for crossover visualization Pullback Signal on Slow EMA Green triangle: Price crosses up through the slow EMA during a bullish trend Red triangle: Price crosses down through the slow EMA during a bearish trend Designed to capture continuation entries after a trend pullback Optional Fast EMA Signals Green arrow: Price crosses above fast EMA in a bull trend Red arrow: Price crosses below fast EMA in a bear trend Helps confirm minor retracements or short-term momentum shifts Sideways Market Filter Suppresses signals when the fast and slow EMAs are too close Prevents entries during low-trend or choppy price action Cooldown Timer Enforces a minimum bar interval between signals to reduce overtrading Helps avoid multiple entries from clustered signals Custom Alerts Alerts available for all signal types Include ticker and timeframe in each alert message Configurable Settings: Fast and slow EMA lengths1 Toggle individual signal types (pullbacks, fast EMA crosses, crossovers) Enable/disable cooldown logic and set bar duration Sideways market detection sensitivity (EMA proximity threshold) Primary Use Case This script is most useful for trend-following traders seeking to enter pullbacks after a trend is established. When the price retraces to the slow EMA and then resumes in the trend direction, it can offer high-quality continuation setups. Works well across timeframes and markets.
Indicador Pine Script®
por wooanaz01
1
IMACD SniperIMACD Sniper Description: This strategy is designed for scalping with precision using the Impulse MACD and dynamic price ranges. It is especially optimized for traders with low capital and a fixed contract size, offering clear visual representation of Take Profit (TP) and Stop Loss (SL) targets for each trade. Key Features: Capital-efficient: Initial capital set at $1000, operating with a contract size of 0.1 (fully adjustable). Clear Entry Logic: Based on Impulse MACD crossovers with distance filters, strong candles, and volume confirmation. Dynamic TP/SL: Targets are calculated based on average candle range over the last N bars, with customizable multipliers. Visual Clarity: Each trade displays a clean box showing both TP and SL prices as floating text without labels, reducing chart clutter. Exit Conditions: TP or SL is hit (whichever comes first). MACD crosses in the opposite direction, triggering an early exit. Inputs: MACD Fast / Slow / Signal Length MACD Minimum Distance Zero Line Proximity Filter EMA Length (default 20) Dynamic Range Settings (TP/SL multipliers and lookback) Volume Filter How to Use: Apply this strategy to assets with good volume and clear trends (e.g., XAUUSD, BTCUSD, NASDAQ). Best suited for timeframes between 5 and 15 minutes. Ensure spread and slippage are considered if trading manually. Important Notes: This script does not repaint. All visual and capital parameters are configurable via input fields. Backtest results may vary depending on the asset and timeframe. Always validate before going live.
Estratégia Pine Script®
por Los7capitales
2
Multi-Indicator Trading System v2Multi-Indicator Trading System (MITS) Purpose: Using WVMA (Volume Weighted Moving Average) + EMA 50 + Bollinger Bands to capture trend reversal points and generate buy/sell signals. What It Does: WVMA line shows volume-based price momentum EMA 50 determines main trend direction Bollinger Bands display volatility range BUY signal when price crosses above WVMA and is above EMA SELL signal when price crosses below WVMA and is below EMA In Short: Combines Volume + Trend + Volatility to find strong entry points.
Indicador Pine Script®
por gotnw
VHX EMA 135/315📈 EMA 135/315 Cross Strategy – Your Trend Compass with Smart Confirmations 🔍 Core Idea The EMA 135/315 Cross strategy is a trend-following system. It tracks two moving averages: EMA 135 → the “fast” line that reacts to short-term price moves EMA 315 → the “slow” line that reacts to the bigger trend When the fast EMA crosses above the slow EMA → market momentum is turning up → BUY signal 🟢 When the fast EMA crosses below the slow EMA → momentum is turning down → SELL signal 🔴 This gives you a clear entry trigger — no guessing, no overcomplication. ✨ On Your Chart BUY/SELL Arrows 🟢 Green arrow = bullish cross → trend turning up 🔴 Red arrow = bearish cross → trend turning down Trend Info Panel (Top Left) Current Trend: BUY / SELL / Neutral Last Cross: how many bars ago it happened EMA Gap in %: measures the strength of the trend Status: “Approaching” if EMAs are getting close → possible cross soon Automatic TP/SL Levels 📈 TP line (+2% from entry) 📉 SL line (–0.5% from entry) Saves time — you instantly see your target and protection EMA Distance Meter Big % gap = strong trend momentum 🚀 Small % gap = weak or sideways market ⚠️ Real-Time Alerts You get notified when a cross happens, even if you’re away from the screen 🧠 The Logic Behind It The EMA 135 reacts faster → it reflects short-term momentum The EMA 315 moves slower → it reflects the main trend When the fast EMA overtakes the slow EMA: short-term strength now aligns with the long-term trend → higher probability of a sustained move The gap % tells you how strong the alignment is — large gap = cleaner moves, small gap = market in transition “Approaching” status warns that the EMAs are converging, which often happens before a reversal 📊 Boosting the Strategy with Volume Analysis The EMA cross is a strong trigger, but volume confirms the quality of the move: High Volume + Cross → more reliable signal, as strong market participation is pushing the trend Low Volume + Cross → caution, the move might be weak or a false breakout 💡 Tip: Check the volume histogram or a volume-based indicator (e.g., Volume Profile, OBV). On a BUY signal: volume should spike above the recent average. On a SELL signal: watch for strong selling volume bars. 📍 Adding Support & Resistance for Precision Support and resistance levels help filter out bad trades and optimize entries: Best BUY setups: EMA 135 crosses above EMA 315 near a known support zone Bonus if volume confirms the move Avoid buying directly into a strong resistance Best SELL setups: EMA 135 crosses below EMA 315 near a known resistance zone Bonus if selling volume is strong Avoid selling directly into a major support 💡 Use tools like horizontal lines, previous highs/lows, and Volume Profile nodes to spot these zones. 📈 Best Usage Practices Timeframes Lower timeframes (1m–5m) → more signals, but more noise → best for scalping with extra filters Always Combine With Confirmation EMA Cross = Trigger Volume spike = Confirmation S/R zone in your favor = High-probability setup Manage Risk Start with the built-in TP/SL Adjust SL if volatility is higher than usual Consider trailing stop once price moves in your favor Avoid Sideways Markets If EMA gap % is very small and crosses happen often → stand aside until a clear direction forms Use Alerts Set alerts for BUY & SELL crosses so you never miss a setup In short: This isn’t just an EMA cross indicator — it’s a trend system with built-in risk management, strength measurement, and pre-trade preparation. Combine it with volume confirmation and smart use of support/resistance, and you turn a simple signal into a high-probability trading edge.
Indicador Pine Script®
por vncentq
Reversal Strategy (RSI & Volume & Automantic support resistance)// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © RoseZero //@version=6 indicator('Chien luoc dao chieu manh(RSI + Volume + Ho tro auto)', overlay = true) //===Tham so nguoi dung=== rsiOversold = input.int(30, 'Nguong RSI qua ban') rsiOverbought = input.int(70, 'Nguong RSI qua mua') rsiLow = input.int(35, 'Nguong qua ban') rsiHigh = input.int(55, 'Nguong qua mua') volMultiplier = input.float(1.5, 'nguong khoi luong tang (so voi TB)') mult = input.float(1.5, 'Nguong nhan do lon nen', step = 0.1) supportLength = input.int(20, 'Do dai vung ho tro') resistLength = input.int(20, 'Do dai vung khang cu') length = input.int(20, 'So nen trung binh') volume_threshold = input.float(1.2, title = 'Nguong volume dao chieu') fastEMA = input.int(21, title = 'EMA nhanh') slowEMA = input.int(55, title = 'EMA cham') depth = input.int(3, title = 'Pivot Depth') rsiLen = input.int(14, title = 'RSI Length') //============================================================================== // === Dấu hiệu Cạn Cung === lowVolMultiplier = input.float(0.5, title = 'Ngưỡng khối lượng thấp (Cạn cung)') lowRangeMultiplier = input.float(0.7, title = 'Ngưỡng biên độ giá thấp (Cạn cung)') avgVolCC = ta.sma(volume, 20) avgRangeCC = ta.sma(high - low, 20) isLowVolume = volume < avgVolCC * lowVolMultiplier isNarrowRange = (high - low) < avgRangeCC * lowRangeMultiplier isSideways = math.abs(close - close ) < avgRangeCC * 0.3 supplyDryUp = isLowVolume and isNarrowRange and isSideways // === Dấu hiệu Cạn Cầu === lowVolMultiplier2 = input.float(0.5, title = 'Ngưỡng khối lượng thấp (Cạn cầu)') lowRangeMultiplier2 = input.float(0.7, title = 'Ngưỡng biên độ giá thấp (Cạn cầu)') avgVolCD = ta.sma(volume, 20) avgRangeCD = ta.sma(high - low, 20) isLowVolumeCD = volume < avgVolCD * lowVolMultiplier2 isNarrowRangeCD = (high - low) < avgRangeCD * lowRangeMultiplier2 isWeakDemand = close <= close or close - close < avgRangeCD * 0.2 demandDryUp = isLowVolumeCD and isNarrowRangeCD and isWeakDemand //===================================================================================== ema34 = ta.ema(close, 34) ema89 = ta.ema(close, 89) volAvg = ta.sma(volume, 20) plot(ema34, color = color.green, title = 'EMA 34') plot(ema89, color = color.orange, title = 'EMA 89') emaUp = ta.crossover(ema34, ema89) emaDow = ta.crossunder(ema34, ema89) alertcondition(emaUp, title = 'EMA34 cat len tren EMA89', message = 'EMA34 cat len tren EMA89 xu huong gia di len') alertcondition(emaDow, title = 'EMA34 cat xuong duoi EMA89', message = 'EMA34 cat xuong duoi EMA*9 xu huong gia di xuong') // dieu kien pha len ema va nguoc lai============================================================================================================ breakoutEma = close < ema34 and close < ema89 and close > ema34 and close > ema89 breakdownEma = close > ema34 and close > ema89 and close < ema34 and close < ema89 //dieu kien test lai EMA sau break retestUpEma = breakoutEma and close < ema34 * 1.02 and close > ema89 * 0.98 retestDownEma = breakdownEma and close > ema34 * 0.98 and close < ema89 * 1.02 //canh bao gia test lai cum ema alertcondition(retestUpEma, title = 'Canh bao test lai EMA gia tang', message = 'Gia dang test lai cum EMA khi gia tang') alertcondition(retestDownEma, title = 'Canh bao test lai EMA gia giam', message = 'Gia dang test lai cum EMA khi gia giam') //Tinh toan co bao Pivot pivotHigh = ta.pivothigh(high, depth, depth) pivotLow = ta.pivotlow(low, depth, depth) ema = ta.ema(close, fastEMA) ma = ta.sma(close, slowEMA) rsii = ta.rsi(close, rsiLen) //Volume Breakout check volStrong = volume > ta.sma(volume, 20) * volume_threshold //Mo hinh nen : Pinbar, Engulfing, Doji isPinBar = math.abs(close - open) / math.abs(high - low) < 0.2 isBullEngulfing = close > open and open < close and close > open isBearishEngulfing = close < open and open > close and close < open isDoji = math.abs(close - open) / math.abs(high - low) < 0.1 //Dao chieu tang manh va giam manh candlePattern = isPinBar or isBullEngulfing or isDoji candlePattern2 = isPinBar or isBearishEngulfing or isDoji priceCondition = close > ema and close > ma and rsii < 30 and volStrong priceCondition2 = close < ema and close < ma and rsii > 70 and volStrong bullishSignal = not na(pivotLow) and candlePattern and priceCondition and volStrong if bullishSignal alert('Dao chieu tang manh: Xuat hien nen dao chieu Tang(PInBar, BullishEngulf, Doji)', alert.freq_once_per_bar_close) bearishSignal = not na(pivotHigh) and candlePattern2 and priceCondition2 and volStrong if bearishSignal alert('Dao chieu giam manh: Xuat hien nen dao chieu Giam(PinBar, BearishEngul, Doji)', alert.freq_once_per_bar_close) //EMA & Trend emaFast = ta.ema(close, fastEMA) emaSlow = ta.ema(close, slowEMA) plot(emaFast, title = 'EMA nhanh', color = color.blue) plot(emaSlow, 'EMA cham', color = color.purple) //===Ho tro tu dong=== supportZone = ta.lowest(low, supportLength) resistZone = ta.highest(high, resistLength) nearSupport = math.abs(low - supportZone) < syminfo.mintick * 100 nearResistance = math.abs(high - resistZone) < syminfo.mintick * 100 plot(supportZone, 'Ho tro', color = color.gray) plot(resistZone, 'Khang cu', color = color.orange) //===Mo hinh nen dao chieu tang & giam=== //Bullish: Hammer, Engulfing, piercing body = math.abs(close - open) avgbody = ta.sma(body, length) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low isHammerUp = lowerWick > 2 * body and upperWick < body and close > open //engulfingUp = close < open and close > open and close > open and open < close piercingUp = close > open and open < close and close > (open + close ) / 2 bullishCandle = isHammerUp or isBullEngulfing or piercingUp //Bearish: Inverted Hammer, Bearish Engulfing, Dark cloud Cover isHammerDow = upperWick > 2 * body and lowerWick < body and close < open //engulfingDow = close > open and close < open and close < open and open > close darkCloud = close < open and open > close and close < (open + close ) / 2 bearishCandle = isHammerDow or isBearishEngulfing or darkCloud //======================================================================== //===Chi bao RSI & Volume=== rsi = ta.rsi(close, 14) oversold = rsi < rsiOversold overbought = rsi > rsiOverbought avgVol = ta.sma(volume, 20) volumeSpike = volume > avgVol * volMultiplier rsiLL = rsi < rsiLow rsiHH = rsi > rsiHigh // nen rut chan 50% fibo50=high/2+low/2 Pinbarbullish=close>fibo50 and open>fibo50 and volumeSpike and rsiLL // and close ta.ema(close,89) plotshape(Pinbarbullish, style = shape.labelup, location = location.belowbar, color = color.green, text = 'L', textcolor = color.white, size = size.tiny) plotshape(Pinbarbearish, style = shape.labeldown, location = location.abovebar, color = color.red, text = 'S', textcolor = color.white, size = size.tiny) if Pinbarbullish alert('Pin Bar dao chieu tang', alert.freq_once_per_bar_close) if Pinbarbearish alert('Pin Bar dao chieu giam', alert.freq_once_per_bar_close) //===dieu kien tin hieu=== buySignal = bullishCandle and oversold and volumeSpike and nearSupport sellSignal = bearishCandle and overbought and volumeSpike and nearResistance //Canh bao nag cao if buySignal alert('Tin hieu MUA manh:Nen dao chieu tai vung ho tro kem RSI thap & Volume lon(LONG)', alert.freq_once_per_bar_close) if sellSignal alert('Tin hieu BAN manh:Nen dao chieu tai vung khang cu kem RSI cao & Volume lon(SHORT)', alert.freq_once_per_bar_close) //===Hien canh bao=== alertcondition(buySignal, title = 'Tin hieu MUA', message = 'Nen dao chieu TANG tai vung ho tro(RSI thap + Volume lon)') alertcondition(sellSignal, title = 'Tin hieu BAN', message = 'Nen dao chieu GIAM tai vung ho(RSI cao + Volume lon)') plotshape(buySignal, style = shape.triangleup, location = location.belowbar, color = color.green, text = 'Long', textcolor = color.white) plotshape(sellSignal, style = shape.triangledown, location = location.abovebar, color = color.red, text = 'Short', textcolor = color.white) //Pin Bar ket hop volume lon & RSI qua mua / qua ban isStrongBullPin = close > open and high - close > 2 * (close - open) and volume > volAvg * volMultiplier and rsi < rsiOversold isStrongBearPin = open > close and close - low > 2 * (open - close) and volume > volAvg * volMultiplier and rsi > rsiOverbought plotshape(isStrongBullPin, title = 'Canh bao Pinbar MUA manh', location = location.belowbar, color = color.green, style = shape.labelup, text = "Pb Mua", textcolor = color.white) plotshape(isStrongBearPin, title = 'Canh bao Pinbar BAN manh', location = location.abovebar, color = color.red, style = shape.labeldown, text = 'Pb Ban', textcolor = color.white) alertcondition(isStrongBullPin, title = 'Canh bao PinBar MUA manh', message = 'Phat hien PinBar MUA manh(vol cao + RSI qua ban)') alertcondition(isStrongBearPin, title = 'Canh bao PInBar BAN manh', message = 'Phat hien PinBar BAN manh(vol cao+ RSI qua mua)') if isStrongBullPin alert('Pin Bar tin hieu mua:Phat hien PinBar MUA manh(vol cao + RSI qua ban)', alert.freq_once_per_bar_close) if isStrongBearPin alert('Pin Bar tin hieu ban:Phat hien PinBar BAN manh(vol cao+ RSI qua mua)', alert.freq_once_per_bar_close) //================================================================ bool pv2_sv = input.bool (true, title='Plot 2nd order pivots') bool msb_sv = input.bool (true, title='Plot MSB lines') bool box_sv = input.bool (true, title='Plot Orderblocks') bool m_sv = input.bool (true, title='Plot Breakerblocks') bool range_sv = input.bool (true, title='Plot Range') bool range_eq_sv = input.bool (true, title='Plot Range 0.5 Line') bool range_q_sv = input.bool (true, title='Plot Range 0.25 and 0.75 Lines') bool log_sv = input.bool (true, title='Use Log Scale') bool msb_a_sv = input.bool (true, title='Alert MSB') bool ob_a_sv = input.bool (true, title='Alert Orderblock test') bool bb_a_sv = input.bool (true, title='Alert Breakerblock test') bool r_a_sv = input.bool (true, title='Alert New Range') bool rt_a_sv = input.bool (true, title='Alert Range test') color u_s = input.color (color.new(color.red,90), title='Untested Supply Color') color t_s = input.color (color.new(color.red,70), title='Tested Supply Color') color u_d = input.color (color.new(color.green,90), title='Untested Demand Color') color t_d = input.color (color.new(color.green,70), title='Tested Demand Color') color u_b = input.color ( color.new(color.blue,90), title='Untested Breaker Color') color t_b = input.color (color.new(color.blue, 70), title='Tested Breaker Color') var float pvh1_price = array.new_float (30, na) // high var int pvh1_time = array.new_int (30, na) var float pvl1_price = array.new_float (30, na) // low var int pvl1_time = array.new_int (30, na) var float pvh2_price = array.new_float (10, na) // higher high var int pvh2_time = array.new_int (10, na) var float pvl2_price = array.new_float (10, na) // lower low var int pvl2_time = array.new_int (10, na) var float htcmrll_price = na // high that created most recent ll var int htcmrll_time = na var float ltcmrhh_price = na // low that created most recent hh var int ltcmrhh_time = na var box long_boxes = array.new_box() // orderblocks var box short_boxes = array.new_box() var box m_long_boxes = array.new_box() // breakerblocks var box m_short_boxes = array.new_box() var line bull_bos_lines = array.new_line() // MSB lines var line bear_bos_lines = array.new_line() var line range_h_lines = array.new_line() // Range lines var line range_25_lines = array.new_line() var line range_m_lines = array.new_line() var line range_75_lines = array.new_line() var line range_l_lines = array.new_line() var label la_ph2 = array.new_label() // 2nd order pivots var label la_pl2 = array.new_label() var float temp_pv_0 = na var float temp_pv_1 = na var float temp_pv_2 = na var int temp_time = na var float last_range_h = na var float last_range_l = na var line range_m = na var line range_25 = na var line range_75 = na var float box_top = na var float box_bottom = na var int h_a_time = 0 var int l_a_time = 0 var int mh_a_time = 0 var int ml_a_time = 0 var int rh_a_time = 0 var int rl_a_time = 0 bool pvh = high < high and high > high bool pvl = low > low and low < low int pv1_time = bar_index float pv1_high = high float pv1_low = low bool new_ph_2nd = false bool new_pl_2nd = false string alert = na if barstate.isconfirmed if pvh array.pop(pvh1_price) array.pop(pvh1_time) array.unshift(pvh1_price, pv1_high) array.unshift(pvh1_time, pv1_time) if array.size(pvh1_price) > 2 temp_pv_0 := array.get(pvh1_price, 0) temp_pv_1 := array.get(pvh1_price, 1) temp_pv_2 := array.get(pvh1_price, 2) if temp_pv_0 < temp_pv_1 and temp_pv_1 > temp_pv_2 array.pop(pvh2_price) array.pop(pvh2_time) array.unshift(pvh2_price, temp_pv_1) array.unshift(pvh2_time, array.get(pvh1_time, 1)) new_ph_2nd := true if temp_pv_1 > array.get(pvh2_price, 1) for i = 0 to array.size(pvl2_time) - 1 by 1 temp_ltcmrhh_time = array.get(pvl2_time, i) if temp_ltcmrhh_time < array.get(pvh2_time, 0) ltcmrhh_price := array.get(pvl2_price, i) ltcmrhh_time := temp_ltcmrhh_time break if temp_pv_0 < ltcmrhh_price if msb_sv array.push(bear_bos_lines, line.new(x1=ltcmrhh_time, y1=ltcmrhh_price, x2=bar_index, y2=ltcmrhh_price, color=color.rgb(11, 238, 18), width=3)) box_top := array.get(pvh2_price, 0) box_bottom := math.max(low , low ) array.push(short_boxes, box.new(left=array.get(pvh2_time, 0), top=box_top, right=bar_index, bottom=box_bottom, bgcolor= box_sv ? u_s : na ,border_color=na, extend=extend.right)) if msb_a_sv alert := alert + 'Bearish MSB @ ' + str.tostring(ltcmrhh_price) + ' ' + 'New Supply Zone : '+ str.tostring(box_top) + ' - ' + str.tostring(box_bottom) + ' ' ltcmrhh_price := na if pvl array.pop(pvl1_price) array.pop(pvl1_time) array.unshift(pvl1_price, pv1_low) array.unshift(pvl1_time, pv1_time) if array.size(pvl1_price) > 2 temp_pv_0 := array.get(pvl1_price, 0) temp_pv_1 := array.get(pvl1_price, 1) temp_pv_2 := array.get(pvl1_price, 2) if temp_pv_0 > temp_pv_1 and temp_pv_1 < temp_pv_2 array.pop(pvl2_price) array.pop(pvl2_time) array.unshift(pvl2_price, temp_pv_1) array.unshift(pvl2_time, array.get(pvl1_time, 1)) new_pl_2nd := true if temp_pv_1 < array.get(pvl2_price, 1) for i = 0 to array.size(pvh2_time) - 1 by 1 temp_htcmrll_time = array.get(pvh2_time, i) if temp_htcmrll_time < array.get(pvl2_time, 0) htcmrll_price := array.get(pvh2_price, i) htcmrll_time := temp_htcmrll_time break if temp_pv_0 > htcmrll_price if msb_sv array.push(bull_bos_lines, line.new(x1=htcmrll_time, y1=htcmrll_price, x2=bar_index, y2=htcmrll_price, color=color.rgb(236, 5, 5), width=3)) box_top := math.min(high , high ) box_bottom := array.get(pvl2_price, 0) array.push(long_boxes, box.new(left=array.get(pvl2_time, 0), top=box_top, right=bar_index, bottom=box_bottom, bgcolor= box_sv ? u_d : na, border_color=na, extend=extend.right)) if msb_a_sv alert := alert + 'Bullish MSB @ ' + str.tostring(htcmrll_price) + ' ' + 'New Demand Zone : '+ str.tostring(box_bottom) + ' - ' + str.tostring(box_top) + ' ' htcmrll_price := na if array.size(short_boxes) > 0 for i = array.size(short_boxes) - 1 to 0 by 1 tbox = array.get(short_boxes, i) top = box.get_top(tbox) bottom = box.get_bottom(tbox) ago = box.get_left(tbox) if array.get(pvh1_price, 0) > bottom if box_sv box.set_bgcolor(tbox, t_s) if ob_a_sv and close < bottom if array.get(pvh1_time, 0) != h_a_time h_a_time := array.get(pvh1_time, 0) alert := alert + 'Supply Zone Test @ ' + str.tostring(array.get(pvh1_price, 0)) + ' (age = ' + str.tostring(bar_index-ago) + ' bars) ' if array.get(pvl1_price, 0) > top if m_sv box.set_bgcolor(tbox, u_b) array.push(m_long_boxes, tbox) else box.delete(tbox) array.remove(short_boxes, i) if msb_sv line.delete(array.get(bear_bos_lines, i)) array.remove(bear_bos_lines, i) if array.size(long_boxes) > 0 for i = array.size(long_boxes) - 1 to 0 by 1 lbox = array.get(long_boxes, i) top = box.get_top(lbox) bottom = box.get_bottom(lbox) ago = box.get_left(lbox) if array.get(pvl1_price, 0) < top if box_sv box.set_bgcolor(lbox, t_d) if ob_a_sv and close > top if array.get(pvl1_time, 0) != l_a_time l_a_time := array.get(pvl1_time, 0) alert := alert + 'Demand Zone Test @ ' + str.tostring(array.get(pvl1_price, 0)) + ' (age = ' + str.tostring(bar_index-ago) + ' bars) ' if array.get(pvh1_price, 0) < bottom if m_sv box.set_bgcolor(lbox, u_b) array.push(m_short_boxes, lbox) else box.delete(lbox) array.remove(long_boxes, i) if msb_sv line.delete(array.get(bull_bos_lines, i)) array.remove(bull_bos_lines, i) if array.size(m_short_boxes) > 0 for i = array.size(m_short_boxes) - 1 to 0 by 1 tbox = array.get(m_short_boxes, i) top = box.get_top(tbox) bottom = box.get_bottom(tbox) ago = box.get_left(tbox) if array.get(pvh1_price, 0) > bottom box.set_bgcolor(tbox, t_b) if bb_a_sv and close < bottom if array.get(pvh1_time, 0) != mh_a_time mh_a_time := array.get(pvh1_time, 0) alert := alert + 'Breakerblock Test Up @ ' + str.tostring(array.get(pvh1_price, 0)) + ' (age = ' + str.tostring(bar_index-ago) + ' bars) ' if array.get(pvl1_price, 0) > top box.delete(tbox) array.remove(m_short_boxes, i) if array.size(m_long_boxes) > 0 for i = array.size(m_long_boxes) - 1 to 0 by 1 lbox = array.get(m_long_boxes, i) top = box.get_top(lbox) bottom = box.get_bottom(lbox) ago = box.get_left(lbox) if array.get(pvl1_price, 0) < top box.set_bgcolor(lbox, t_b) if bb_a_sv and close > top if array.get(pvl1_time, 0) != ml_a_time ml_a_time := array.get(pvl1_time, 0) alert := alert + 'Breakerblock Test Down @ ' + str.tostring(array.get(pvl1_price, 0)) + ' (age = ' + str.tostring(bar_index-ago) + ' bars) ' if array.get(pvh1_price, 0) < bottom box.delete(lbox) array.remove(m_long_boxes, i) if range_sv and (new_ph_2nd or new_pl_2nd) and (array.get(pvh2_price, 0) < array.get(pvh2_price, 1) and array.get(pvl2_price, 0) > array.get(pvl2_price, 1) and array.get(pvh2_price, 0) > array.get(pvl2_price, 1) and array.get(pvl2_price, 0) < array.get(pvh2_price, 1)) and (array.get(pvl2_price, 1) > nz(last_range_h) or na(last_range_l)? true : (array.get(pvh2_price, 1) < last_range_l)) temp_time := math.min(array.get(pvh2_time, 1), array.get(pvl2_time, 1)) last_range_h := array.get(pvh2_price, 1) last_range_l := array.get(pvl2_price, 1) temp_pv_0 := log_sv ? math.exp((math.log(last_range_h) + math.log(last_range_l))/2) : (last_range_h + last_range_l)/2 temp_pv_1 := log_sv ? math.exp((math.log(last_range_h) + math.log(temp_pv_0))/2) : (last_range_h + temp_pv_0)/2 temp_pv_2 := log_sv ? math.exp((math.log(last_range_l) + math.log(temp_pv_0))/2) : (last_range_l + temp_pv_0)/2 array.push(range_h_lines, line.new(x1=temp_time, y1=last_range_h, x2=bar_index, y2=last_range_h, color= color.white, width=2, extend=extend.right)) array.push(range_l_lines, line.new(x1=temp_time, y1=last_range_l, x2=bar_index, y2=last_range_l, color= color.white, width=2, extend=extend.right)) if range_eq_sv array.push(range_m_lines, line.new(x1=temp_time, y1=temp_pv_0, x2=bar_index, y2=temp_pv_0, color= color.rgb(246, 6, 6), width=2, extend=extend.right)) if range_q_sv array.push(range_25_lines, line.new(x1=temp_time, y1=temp_pv_1, x2=bar_index, y2=temp_pv_1, style=line.style_dashed, color=color.rgb(1, 54, 249), width=2, extend=extend.right)) array.push(range_75_lines, line.new(x1=temp_time, y1=temp_pv_2, x2=bar_index, y2=temp_pv_2, style=line.style_dashed, color=color.rgb(1, 54, 249), width=2, extend=extend.right)) if r_a_sv alert := alert + 'New Range : ' + str.tostring(last_range_h) + ' - ' + str.tostring(last_range_l) + '. Mean = ' + str.tostring(temp_pv_0) + ' ' if array.size(range_h_lines) > 0 for i = array.size(range_h_lines) - 1 to 0 by 1 range_h = array.get(range_h_lines, i) top = line.get_y1(range_h) range_l = array.get(range_l_lines, i) bottom = line.get_y1(range_l) temp_time := line.get_x1(range_h) if array.get(pvh1_price, 0) > top if rt_a_sv and close < top if array.get(pvh1_time, 0) != rh_a_time rh_a_time := array.get(pvh1_time, 0) alert := alert + 'Range High Test @ ' + str.tostring(array.get(pvh1_price, 0)) + ' ' if array.get(pvl1_price, 0) < bottom if rt_a_sv and close > bottom if array.get(pvl1_time, 0) != rl_a_time rl_a_time := array.get(pvl1_time, 0) alert := alert + 'Range Low Test @ ' + str.tostring(array.get(pvl1_price, 0)) + ' ' if range_eq_sv range_m := array.get(range_m_lines, i) if range_q_sv range_25 := array.get(range_25_lines, i) range_75 := array.get(range_75_lines, i) if array.get(pvh1_price, 0) < bottom or array.get(pvl1_price, 0) > top line.delete(range_h) array.remove(range_h_lines, i) line.delete(range_l) array.remove(range_l_lines, i) if range_eq_sv line.delete(range_m) array.remove(range_m_lines, i) if range_q_sv line.delete(range_25) array.remove(range_25_lines, i) line.delete(range_75) array.remove(range_75_lines, i) last_range_h := na last_range_l := na if pv2_sv if new_ph_2nd array.push(la_ph2, label.new(x = array.get(pvh2_time, 0), y = array.get(pvh2_price, 0), xloc = xloc.bar_index, style = label.style_label_down, color = #770000FF, size = size.tiny)) if new_pl_2nd array.push(la_pl2, label.new(x = array.get(pvl2_time, 0), y = array.get(pvl2_price, 0), xloc = xloc.bar_index, style = label.style_label_up, color = #007700FF, size = size.tiny)) alert := not na(alert) ? (alert + 'Current price = ' + str.tostring(close) + ' ') : na exec = not na(alert) ? true : false //if exec==true //alert(alert, alert.freq_once_per_bar_close) //xac dinh dieu kien khoi luong lon // mau cay nen mua buyCandle = close > open and volumeSpike ? color.rgb(4, 128, 8) : na // mau cay nen ban sellCandle = close < open and volumeSpike ? color.rgb(147, 23, 230) : na // ve nen tuy chinh plotcandle(open, high, low, close, color = buyCandle, title = "Buy Candle") plotcandle(open, high, low, close, color = sellCandle, title = "Sell Candle") //plot(close) //=== Lọc pin bar intraday === isIntraday = timeframe.multiplier >= 15 and timeframe.multiplier <= 60 // M15 đến H1 //isPinBar = math.abs(close - open) / math.abs(high - low) < 0.2 volSpike = volume > ta.sma(volume, 20) * 1.5 //rsi = ta.rsi(close, 14) rsiExtreme = rsi < 30 or rsi > 70 //nearSupport = math.abs(low - ta.lowest(low, 20)) < syminfo.mintick * 100 //nearResistance = math.abs(high - ta.highest(high, 20)) < syminfo.mintick * 100 validBullPin = isPinBar and close > open and high - close > 2 * (close - open) and volSpike and rsi < 30 and nearSupport and isIntraday validBearPin = isPinBar and open > close and close - low > 2 * (open - close) and volSpike and rsi > 70 and nearResistance and isIntraday plotshape(validBullPin, location = location.belowbar, style = shape.labelup, color = color.green, text = "PB M15-H1") plotshape(validBearPin, location = location.abovebar, style = shape.labeldown, color = color.red, text = "PB M15-H1") alertcondition(validBullPin, title = "Pin Bar MUA intraday", message = "Phát hiện Pin Bar MUA mạnh (M15-H1)") if validBullPin alert("Pin bar MUA intraday : Phát hiện Pin Bar MUA mạnh (M15-H1)", alert.freq_once_per_bar_close) alertcondition(validBearPin, title = "Pin Bar BÁN intraday", message = "Phát hiện Pin Bar BÁN mạnh (M15-H1)") if validBearPin alert("Pin bar BAN Intrday : Phát hiện Pin Bar BÁN mạnh (M15-H1)", alert.freq_once_per_bar_close) //=======- Dùng H1 để xác định xu hướng, M15 để vào lệnh. //Nếu pin bar xuất hiện ở H1, bạn có thể chờ xác nhận phá đỉnh/đáy ở M15 để vào lệnh. //Kết hợp thêm EMA hoặc vùng cung cầu để tăng độ tin cậy //==================================== trendUp = ema34 > ema89 trendDow = ema34 < ema89 //tin hieu vao lenh enterLong = validBullPin and close > high and trendUp enterShort = validBearPin and close < low and trendDow plotshape(enterLong, location = location.belowbar, style = shape.triangleup, color = color.lime, text = "Long", textcolor = color.white) plotshape(enterShort, location = location.abovebar, style = shape.triangledown, color = color.fuchsia, text = "Short", textcolor = color.white) if enterLong alert("Vao lenh Long: Pin Bar + Pha dinh + EMA xac nhan", alert.freq_once_per_bar_close) if enterShort alert("Vao lenh Short: Pin Bar + Pha day + EMA xac nhan", alert.freq_once_per_bar_close) //================================================================================== // === Hiển thị tín hiệu Cạn cung === //plotshape(supplyDryUp, title = 'Cạn cung', location = location.belowbar, color = color.yellow, style = shape.circle, size = size.small) alertcondition(supplyDryUp, title = 'Cảnh báo cạn cung', message = 'Phát hiện dấu hiệu cạn cung: khối lượng thấp + giá đi ngang + biên độ hẹp') // === Kết hợp với tín hiệu mua/bán để tăng độ tin cậy === buySignalCC = buySignal and supplyDryUp sellSignalCC = sellSignal and supplyDryUp plotshape(buySignalCC, title = 'Mua + Cạn cung', location = location.belowbar, color = color.lime, style = shape.triangleup, text = 'Long CC', textcolor = color.white) plotshape(sellSignalCC, title = 'Bán + Cạn cung', location = location.abovebar, color = color.fuchsia, style = shape.triangledown, text = 'Short CC', textcolor = color.white) alertcondition(buySignalCC, title = 'Mua mạnh + Cạn cung', message = 'Tín hiệu MUA mạnh kết hợp dấu hiệu cạn cung') alertcondition(sellSignalCC, title = 'Bán mạnh + Cạn cung', message = 'Tín hiệu BÁN mạnh kết hợp dấu hiệu cạn cung') if buySignalCC alert('Mua mạnh + Cạn cung : Tín hiệu MUA mạnh kết hợp dấu hiệu cạn cung', alert.freq_once_per_bar_close) if sellSignalCC alert('Bán mạnh + Cạn cung : Tín hiệu BÁN mạnh kết hợp dấu hiệu cạn cung', alert.freq_once_per_bar_close) // === Hiển thị tín hiệu Cạn cầu === //plotshape(demandDryUp, title = 'Cạn cầu', location = location.abovebar, color = color.orange, style = shape.circle, size = size.small) alertcondition(demandDryUp, title = 'Cảnh báo cạn cầu', message = 'Phát hiện dấu hiệu cạn cầu: khối lượng thấp + giá không tăng + biên độ hẹp') // === Kết hợp với tín hiệu bán để tăng độ tin cậy === sellSignalCD = sellSignal and demandDryUp plotshape(sellSignalCD, title = 'Bán + Cạn cầu', location = location.abovebar, color = color.red, style = shape.triangledown, text = 'Short CCầu', textcolor = color.white) alertcondition(sellSignalCD, title = 'Bán mạnh + Cạn cầu', message = 'Tín hiệu BÁN mạnh kết hợp dấu hiệu cạn cầu') if sellSignalCD alert('Bán mạnh + Cạn cầu : Tín hiệu BÁN mạnh kết hợp dấu hiệu cạn cầu', alert.freq_once_per_bar_close) //====================================================
Indicador Pine Script®
por RoseZero
The Phantom Indicator for beginnersThe Phantom Indicator is an original software script written in Pine Script for use on the TradingView charting platform. It is designed as a real-time algorithmic trading and technical analysis toolkit that integrates multiple market signals into a unified framework. The work is a compilation of open-source trading concepts, modified and combined in a novel and proprietary manner, resulting in a unique educational tool. Key features include: Dynamic background shading based on price relation to the 200-period Exponential Moving Average (EMA) Multi-timeframe Hull Moving Averages rendered as ribbons to show directional bias A custom Fair Value Gap (FVG) detection algorithm ATR-based trailing stop logic, inspired by UT Bot Visual markers for candlestick rejection patterns, labeled “J. Wick” (bullish) and “Black Widow” (bearish) Real-time structural pivot recognition, identifying Higher Highs, Lower Lows, and Break of Structure (BOS) Interactive label alerts, trend-based visuals, and adaptive ribbon overlays This indicator is intended to train beginner traders to: Recognize candlestick reversal patterns Understand trend creation and breakage Learn to identify market direction using real-time, rule-based logic
Indicador Pine Script®
por ThePhantomhr
D1 Momentum Trigger (with filter D1 + Slope Filter)Multi‐timeframe indicator that identifies trend and entry points with daily confirmation and volatility filters: Daily Trend Filter Verifies that 4-, 6-, and 8-period momentum are all above (long) or below (short) their EMA(3) on the D1 chart, ensuring signals align with the higher-timeframe trend. Entry Signals (Current Timeframe) Momentum 4/6/8 > (or <) EMA(3) of the 8-period momentum Price in the lower (long) or upper (short) 20% of the Bollinger Bands (20,2) Positive (long) or negative (short) 50-EMA slope above a customizable threshold Visual Overlays Triangles for long/short entries Dots to show active daily confirmation Adjustable Settings DifferenceThreshold: EMA50 slope sensitivity BB% thresholds to define acceptable volatility Ideal for traders seeking a systematic multi-timeframe approach with trend confirmation and volatility control. GOOD TRADING!
Indicador Pine Script®
por IndicatorLab_TV
The Barking Rat ReversionsMean Reversion with Multi-Layered Precision The Barking Rat Reversions is a short-term mean reversion strategy tailored for high-volatility markets. It combines several well-established technical tools in a configuration to identify overextended price movements likely to revert toward equilibrium. The goal is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. At its core, our strategy triggers off Fair Value Gaps (FVGs) that occur a considerable distance away from a dynamically defined equilibrium band. It then validates these gaps by checking proximity to recent support and resistance drawn from swing extremes. Additional confirmation comes from momentum filters and wick-rejection patterns, ensuring each entry aligns with both price structure and stretched momentum. Exits use volatility-adjusted profit targets. Keeping the approach disciplined and adaptive. 🧠Core Logic: Selectivity & Structure This strategy is intentionally very selective. We have designed it to filter out roughly 95% of all market noise, highlighting only setups that pass multiple validation layers outlined below. Fair Value Gaps (FVGs) as the Primary Trigger FVGs identify imbalance zones where price historically retraces. These inefficient zones often become magnets for reversion as the market seeks to rebalance. Dynamic Equilibrium Band + S/R Defines a fair value zone with a long-term moving average and combines it with shorter-term swing pivots to establish support/resistance. Only FVGs that occur outside the band and near recent pivots are considered, ensuring reversals are sufficiently distanced and not taken too close to the mean. Proximity to Support/Resistance Setup validity depends on location. The strategy filters for FVGs near well-defined structural levels — areas where price has previously turned (i.e., recent swing highs or lows). This increases the likelihood that reversals are occurring at legitimate zones of confluence. Wick-Rejection Confirmation Confirms potential exhaustion through characteristic candle wick patterns beyond the equilibrium region. This acts as another filter to improve signal accuracy. Sequential Filtered Signals Custom logic ensures that a new signal in any direction must improve upon the previous one, preventing repetitive or suboptimal entries. Multi-Step Confirmation All validation layers must coincide on the same bar before a signal triggers, dramatically reducing false positives. 📈Chart Visuals: Designed for Clarity To ensure transparency and easy interpretation, the script overlays intuitive visuals: Green “▲” below a candle: Indicates a potential long entry Red “▼” above a candle: Indicates a potential short entry Green “✔️”: Marks exit from a trade when ATR target is met Background shading (green/red): Indicates trade direction while active Support/Resistance lines: Auto-plotted from recent swing levels 🔔Alerts: Stay Notified Without Watching The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed. You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring. ⚙️Strategy report properties Position size: 25% equity per trade Initial capital: 10,000.00 USDT Pyramiding: 10 entries per direction Slippage: 2 ticks Commission: 0.055% per side Backtest timeframe: 1-minute Backtest instrument: HYPEUSDT Backtesting range: Jul 21, 2025 — Aug 7, 2025 Note on Sample Size: You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Reversions strategy is ultra-selective, filtering out over 95% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering. We conducted a broader backtest covering the period from December 5, 2024 to July 31, 2025, during which the strategy identified 968 high-probability setups on the same instrument and timeframe as the strategy report. For a larger dataset: Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample. 💡Why 25% Equity Per Trade? While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why: Backtests using this sizing show manageable drawdowns even under volatile periods The strategy generates a sizeable number of trades, reducing reliance on a single outcome Combined with conservative filters, the 25% setting offers a balance between aggression and control Users are strongly encouraged to customize this to suit their risk profile. 🔍What Makes This Strategy Unique? Multi-factor confirmation using FVGs, EMA deviation, RSI, wick rejection, and S/R Clean, Intuitive Chart Experience Real-time alerts triggered only on confirmation Variables monitor prior reversal points, guaranteeing each new signal offers an improved entry Tracks active positions and resets filters upon exit.
Estratégia Pine Script®
por TheBarkingRat
VSTrade 3EMA📊 EMA Triple Power – spot the trend before the crowd does This indicator combines three powerful exponential moving averages — EMA 100, 150, and 200 — to help you identify the true direction and strength of the market trend. 🔹 High-precision trend filter: The triple EMA structure cuts through noise and highlights only high-probability setups. 🔹 Perfect for all timeframes: Whether you're scalping or swing trading, this tool adjusts to your strategy. 🔹 Clear market visualization: Instantly spot bullish or bearish phases at a glance. 🔹 Trusted by professionals: Already used by experienced traders to enhance their edge in volatile markets. 👉 Add EMA Triple Power to your chart and start trading with the trend – not against it. ––––––––––––––– 📊 EMA Triple Power – найдите тренд, пока другие сомневаются Этот индикатор использует три ключевые скользящие средние — EMA 100, 150 и 200, — чтобы точно определить силу и направление тренда. 🔹 Мощная фильтрация тренда: Тройная структура EMA устраняет рыночный шум и помогает вам входить только в высоковероятные сделки. 🔹 Идеален для всех таймфреймов: От скальпинга до свинг-трейдинга – индикатор адаптируется под ваш стиль торговли. 🔹 Простота визуализации: Четкое разделение бычьих и медвежьих фаз рынка, понятное с первого взгляда. 🔹 Используется профессионалами: Этот инструмент уже стал частью стратегии опытных трейдеров по всему миру. 👉 Добавьте EMA Triple Power на свой график и торгуйте в сторону настоящего тренда.
Indicador Pine Script®
por Vector_Trading_PE
TrendGradient [By TraderMan]TrendGradient Indicator: What It Does, How It Works, and How to Use It 📊✨ The **TrendGradient ** indicator is a Pine Script tool designed for the TradingView platform, assisting traders in trend analysis, generating buy/sell signals, and determining target price (TP) and stop-loss (SL) levels. In this guide, I’ll explain in detail what the indicator does, how it operates, how to use it, and strategies for opening positions. Get ready to dive into this colorful and powerful tool! 🚀 🌟 **What Is TrendGradient and What Does It Do?** TrendGradient is an indicator that analyzes price movements to identify trend direction and strength while generating actionable buy and sell signals. Here are its core functions: 1. **Trend Tracking**: Uses 38-period and 62-period Exponential Moving Averages (EMAs) to determine the trend direction (bullish or bearish). 2. **Buy/Sell Signals**: Generates signals based on EMA crossovers and crossunders. 3. **Target and Stop Levels**: Calculates entry, take-profit (TP1, TP2, TP3), and stop-loss (SL) levels using the Average True Range (ATR). 4. **Volatility and Trend Analysis**: Visualizes volatility levels (low, medium, high) and trend strength (strong/weak) via ATR and EMA. 5. **Visual Clarity**: Provides a user-friendly interface with colored lines, labels, tables, and shapes. This indicator is ideal for trend-following traders and can be used for both short-term (scalping/day trading) and long-term strategies. 📈 --- ### 🛠️ **How Does TrendGradient Work?** Let’s break down the indicator’s mechanics step by step: #### 1. **EMA-Based Trend Analysis** 📉 - **EMA 38 and EMA 62**: The indicator uses 38-period and 62-period Exponential Moving Averages to smooth price data and identify trend direction. - **EMA 38 > EMA 62**: Bullish trend (uptrend) 📈 - **EMA 38 < EMA 62**: Bearish trend (downtrend) 📉 - EMA crossovers trigger buy/sell signals: - **Crossover (EMA 38 crosses above EMA 62)**: Buy signal (BUY). - **Crossunder (EMA 38 crosses below EMA 62)**: Sell signal (SELL). - The EMAs focus on the last 20 days of data to display recent trends only. #### 2. **ATR-Based Levels** ⚖️ - **ATR (Average True Range)**: Measures price volatility and is used to calculate entry, TP, and SL levels. - **Entry Price**: For buys, the closing price plus an ATR multiplier; for sells, the closing price minus an ATR multiplier. - **Take-Profit Levels (TP1, TP2, TP3)**: Calculated by adding/subtracting ATR multiples (default: 2.0, 4.0, 6.0) to/from the entry price. - **Stop-Loss (SL)**: Set at a distance from the entry price using an ATR multiplier (default: 2.0 + additional SL). - These levels are visualized on the chart with colored lines (yellow: entry, green: TP1, teal: TP2, blue: TP3, red: SL) and labels. #### 3. **Signal and Status Visualization** 🖼️ - **Lines and Labels**: Buy/sell signals are marked with green "BUY" and red "SELL" labels on the chart. - **Table**: A table in the top-right corner summarizes signal status, entry/TP/SL levels, trend strength, volatility, and trend direction. - **Color Coding**: - Green: Bullish trend, buy signal, or TP achievements. - Red: Bearish trend, sell signal, or SL triggered. - Yellow, teal, blue: Entry and TP levels. - **Bar Coloring**: Bars are colored green (bullish) or red (bearish) based on EMA alignment. #### 4. **TP/SL Monitoring** ✅❌ - The indicator checks if the price hits TP or SL levels and displays labels like "✔️ TP Achieved" or "❌ SL Stopped Out." - When a TP or SL is hit, the position status updates (e.g., "In Progress ⏳", "Successful ✅", or "Failed ❌"). #### 5. **Volatility and Trend Strength** 📊 - **Volatility (ATR)**: Classified as "Low" (red), "Medium" (orange), or "High" (green) based on the ATR’s position within its 50-bar range. - **Trend Strength**: If EMA 38 > EMA 62, the trend is "Strong" (green); otherwise, it’s "Weak" (red). --- ### 📋 **How to Use TrendGradient?** Follow these steps to effectively use TrendGradient: #### 1. **Add the Indicator to TradingView** 🖥️ - In TradingView, search for "TrendGradient " in the **Indicators** menu and add it to your chart. - Use default settings or customize parameters like ATR period, multipliers, and display duration (default: 20 days) in the **Settings** menu. #### 2. **Identify Signals** 🔍 - **Buy Signal (BUY)**: Appears when a green "BUY" label is displayed and EMA 38 crosses above EMA 62. - **Sell Signal (SELL)**: Appears when a red "SELL" label is displayed and EMA 38 crosses below EMA 62. - Check the top-right table for signal status ("BUY", "SELL", or "-") and position levels (Entry, TP1, TP2, TP3, SL). #### 3. **Opening a Position** 🚪 - **Long Position (Buy)**: 1. When a "BUY" signal appears, check the entry price (yellow line). 2. Open a position at or near the entry price. 3. Set TP1, TP2, TP3 (green, teal, blue lines) and SL (red line) as targets/stops. - **Short Position (Sell)**: 1. When a "SELL" signal appears, check the entry price. 2. Open a position at or near the entry price. 3. Use TP and SL levels as targets/stops. - **Note**: ATR-based levels adjust dynamically to market volatility, ensuring adaptability. #### 4. **Position Management** 🛡️ - **Take-Profit (TP)**: Realize profits when the price hits TP1, TP2, or TP3. For example, close part of the position at TP1 and hold the rest for TP2/TP3. - **Stop-Loss (SL)**: Close the position if the price hits the SL level ("❌ SL Stopped Out" appears). - **Partial Closes**: Use multiple TP levels to scale out of positions incrementally. #### 5. **Trend and Volatility Analysis** 📊 - **Trend Direction and Strength**: The table shows whether the trend is "Up" or "Down" and its strength ("Strong" or "Weak"). Strong trends may warrant more aggressive positions. - **Volatility**: ATR-based volatility indicators help gauge market conditions. High volatility (green) suggests larger price moves, while low volatility (red) indicates calmer markets. #### 6. **Risk Management** ⚠️ - Always use the SL level and assess the risk/reward ratio (e.g., 2:1 for TP1, 4:1 for TP2). - In low volatility (red), consider smaller positions; in high volatility (green), expect larger moves. --- ### 🛠️ **Example Position Opening Scenario** **Scenario: Long Position** - **Situation**: EMA 38 crosses above EMA 62, and a green "BUY" label appears. - **Entry Price**: 100 (yellow line). - **TP Levels**: TP1: 104, TP2: 108, TP3: 112. - **SL Level**: 96. - **Strategy**: 1. Open a long position at 100. 2. Close 50% of the position at TP1 (104), hold the rest for TP2 (108) or TP3 (112). 3. Exit fully if the price hits SL (96). - **Table Status**: "Signal: BUY", "Position Status: In Progress ⏳", "Trend Strength: Strong", "Volatility: High". **Scenario: Short Position** - **Situation**: EMA 38 crosses below EMA 62, and a red "SELL" label appears. - **Entry Price**: 100. - **TP Levels**: TP1: 96, TP2: 92, TP3: 88. - **SL Level**: 104. - **Strategy**: Manage the position similarly, scaling out at TP levels. --- ### 💡 **Tips and Suggestions** 1. **Timeframe**: The indicator works across timeframes (1H, 4H, daily). Short-term traders can use 1H-4H, while long-term traders may prefer daily charts. 2. **Combine with Other Indicators**: Use RSI, MACD, or support/resistance levels to confirm signals. 3. **Backtesting**: Test the strategy on historical data to evaluate performance. 4. **Customization**: Adjust ATR multipliers or EMA periods to suit your market or strategy. 5. **Discipline**: Stick to signals and avoid emotional decisions. --- ### 🎨 **Visual Features** - **Colored Lines and Labels**: Entry, TP, and SL levels are displayed with colored lines (yellow, green, teal, blue, red) for clarity. - **Table**: The top-right table summarizes all key information (signal, levels, trend, volatility). - **Bar Coloring**: Green bars for bullish trends and red bars for bearish trends make trend direction easy to spot. - **Emojis**: Position status is enhanced with emojis like ⏳ (in progress), ✅ (successful), and ❌ (failed) for visual appeal. --- ### ⚠️ **Warnings and Limitations** - **Market Conditions**: The indicator performs best in trending markets; it may produce false signals in ranging markets. - **Risk Management**: Always use proper risk/reward ratios and risk only a small portion of your capital. - **Lag**: EMAs are lagging indicators, so signals may be delayed in fast-moving markets. - **Customization Needs**: Default settings may not suit all markets; test and optimize as needed. --- ### 🌟 **Conclusion** TrendGradient is a user-friendly, visually appealing indicator for trend tracking and automated level calculation. It generates signals via EMA crossovers, calculates dynamic TP/SL levels with ATR, and presents all information clearly through tables, lines, and labels. By using this tool with discipline, you can make more informed and successful trading decisions! 🚀 If you have further questions or need help customizing the indicator, feel free to ask! 💬 Good luck and happy trading! 🍀
Indicador Pine Script®
por Traderman_1993
EMA ZONE MASTER [By TraderMan]🟢 EMA Zone Master Indicator Explanation 🚀 🌟 What is the EMA Zone Master? The EMA Zone Master is a powerful TradingView Pine Script indicator designed to help traders identify trends, entry points, and manage trades with precision. It leverages a 200-period EMA (Exponential Moving Average) to create a dynamic zone for spotting bullish 📈 and bearish 📉 trends. The indicator provides clear buy/sell signals, take-profit (TP) levels, and stop-loss (SL) levels, making it ideal for both novice and experienced traders! 💪 🔍 How Does It Work? The indicator uses the 200-period EMA as its core, surrounded by a zone defined by a percentage offset (default 0.3%). Here's how it operates: Trend Detection 🧠: The price's position relative to the EMA zone determines the trend: Above the zone (with tolerance and minimum distance) signals a bullish trend (BUY 📈). Below the zone signals a bearish trend (SELL 📉). A neutral trend occurs when the price is within the zone or lacks momentum. A trend is confirmed after a set number of bars (default 3) to filter out noise. 🔎 Trade Signals 🚦: Buy Signal: Triggered when the price breaks above the EMA zone with confirmation. Sell Signal: Triggered when the price breaks below the EMA zone with confirmation. Signals are visualized with labels ("BUY" or "SELL") on the chart for clarity. ✅ Position Management 🎯: Entry Price: Set at the closing price when a signal is triggered. Take-Profit Levels: Three TP levels (TP1, TP2, TP3) are calculated based on a Risk/Reward Ratio (default 0.7). Stop-Loss: Calculated using the ATR (Average True Range) with a multiplier (default 6.0) for volatility-based protection. 🛡️ Lines and labels for entry, TP, and SL are drawn on the chart for easy tracking. Trend Strength 💪: The indicator calculates trend strength (0-100%) and categorizes it as Very Strong, Strong, Moderate, Weak, or Very Weak. This helps gauge the reliability of the trend. 🌡 Analysis Comment 📝: A dynamic comment provides professional insights based on trend strength, guiding traders on whether to act or wait. 🧑‍💼 Visuals & Alerts 🔔: The EMA, zone boundaries, and candlestick colors change based on the trend (green for bullish, red for bearish, gray for neutral). A table in the top-right corner summarizes key data: trend direction, strength, entry price, TP/SL levels, and success rate. Alerts are generated with detailed trade information when a new signal appears. 🛠 How to Use It? Setup on TradingView ⚙️: Add the EMA Zone Master to your chart via the TradingView Pine Script editor. Customize settings like EMA Length (default 200), Zone Width (0.3%), ATR Period (50), and Risk/Reward Ratio (0.7) to suit your trading style. 🛠 Interpreting Signals 📊: Buy Signal (AL): Look for a "BUY" label and green candlesticks when the price breaks above the EMA zone. 📈 Sell Signal (SAT): Look for a "SELL" label and red candlesticks when the price breaks below the EMA zone. 📉 Check the table for trend strength and analysis comments to confirm the signal's reliability. Opening a Position 💸: Long Position: Enter a buy trade when a "BUY" signal appears. Set your take-profit at TP1, TP2, or TP3 and stop-loss at the SL level shown on the chart. Short Position: Enter a sell trade when a "SELL" signal appears. Use the TP and SL levels provided. The indicator automatically plots these levels as lines and labels for easy reference. 🎯 Managing Trades 🕒: Monitor the trade's progress via the table and labels. The indicator tracks if TP1, TP2, or TP3 is hit or if the trade stops out, updating the Last Result in the table (e.g., "✅ TP1 SUCCESS" or "❌ STOPPED OUT"). Use the Success Rate (displayed in the table) to gauge historical performance (75% for BUY, 65% for SELL, 50% for NEUTRAL). Using Alerts 🔔: Set up alerts in TradingView to receive notifications when a buy or sell signal is triggered. The alert message includes the trend, strength, entry price, TP/SL levels, success rate, and analysis comment for quick decision-making. 📈 How to Open a Position? Wait for a Signal: Ensure a "BUY" or "SELL" label appears, and the trend strength is at least Moderate (40%+) for higher confidence. ✅ Check the Table: Review the trend direction, strength, and analysis comment to confirm the trade setup. 📊 Enter the Trade: For a Buy: Enter at the entry price shown, set TP1/TP2/TP3 and SL as indicated by the lines/labels. For a Sell: Same process, but for a short position. Monitor: Watch for TP or SL hits. The indicator will update the table with the result (e.g., "✅ TP3 SUCCESS"). 🕒 Risk Management: Always adhere to the stop-loss level to limit losses, and consider partial profit-taking at TP1 or TP2 for safer trading. 🛡️ 🎉 Why Use EMA Zone Master? Clear Signals: Easy-to-read buy/sell signals with visual cues. 🚦 Automated Levels: Pre-calculated TP and SL levels save time and reduce errors. 🧮 Trend Strength Insight: Helps avoid weak trends and focus on high-probability setups. 💪 Professional Analysis: Dynamic comments guide your trading decisions. 🧑‍💼 Customizable: Adjust settings to match your trading style or market conditions. ⚙️ Alert System: Stay informed with detailed alerts for timely action. 🔔 ⚠️ Tips for Success Confirm with Other Tools: Use additional indicators (e.g., RSI, MACD) to validate signals. 🔍 Test First: Backtest the indicator on your preferred market/timeframe to understand its performance. 📉 Risk Management: Always use proper position sizing and respect stop-loss levels. 🛑 Higher Timeframes: The indicator works best on higher timeframes (e.g.,15MİN, 1H, 4H, Daily) for stronger signals. ⏰ Happy trading with EMA Zone Master! 🚀 Let it guide you to smarter, more confident trades. 💰 Feel free to tweak settings and share your results! 😊
Indicador Pine Script®
por Traderman_1993
TrendSync TP Engine [By TraderMan]📘 TrendSync TP Engine – Overview & User Guide TrendSync TP Engine is a trend-following indicator that automatically detects trend direction based on how long the price stays above or below a defined EMA (Exponential Moving Average). Once a trend is confirmed, it plots entry, take-profit (TP), and stop-loss (SL) levels directly on the chart. Its purpose is to offer a clear roadmap for manual traders and act as a “TP engine” in trend-based trading. 🔧 How It Works Trend Detection: If the price closes consistently above or below the EMA for a minimum number of bars, a LONG or SHORT trend is triggered. EMA-Based Trade Plan: When a new trend is detected, the script automatically plots: Entry level TP1, TP2, TP3 SL level based on dynamic ATR offsets. TP / SL Labels: As the price hits TP or SL targets, real-time labels appear on the chart showing trade progress. Built-in Alert System: Alerts are triggered when: A new position opens TP1, TP2, TP3 levels are reached Stop loss is hit 🚀 How to Use Add to Chart: Apply the indicator to your chart on any timeframe (1H, 4H, 1D, etc.). Configure Settings: Adjust parameters like: EMA length Minimum trend duration TP/SL distances (in ATR multiples) to fit your strategy. Follow the Plan: Once a trend begins, you'll see: Blue line for entry Green dashed lines for TP1/TP2/TP3 Red dashed line for SL Let the engine guide your trades. 🎯 Who Is It For? Trend-following traders Manual traders who want structured trade plans Users who prefer automated visual signals & alerts Developers looking to build strategy logic on top ✅ Key Features Automatic levels: Entry, TP1-3, SL lines Alert-ready: Real-time push/email/webhook notifications Clear visuals: All levels labeled with real-time status Flexible & modular: Can be extended into a full strategy Disclaimer: This tool is for educational and informational purposes only. It does not constitute financial advice. Use at your own discretion with proper risk management.
Indicador Pine Script®
por Traderman_1993
EMA Plot with Colorshis indicator displays six Exponential Moving Averages (EMAs) with distinct colors to help traders analyze short-, medium-, and long-term market trends at a glance. 📈 Included EMAs: EMA 20 – Blue (Short-term trend) EMA 40 – Green (Short/Medium-term trend) EMA 55 – Orange (Medium-term trend) EMA 81 – Red (Medium/Long-term trend) EMA 100 – Purple (Long-term trend) EMA 200 – Gray (Major trend indicator) These EMAs can be used to: Identify dynamic support and resistance Spot trend direction and strength Observe crossover signals for potential entries/exits Simple and effective for all trading styles — intraday, swing, or long-term.
Indicador Pine Script®
por oxaam479
IB with Range PercentageThis Pine Script indicator for TradingView combines several powerful technical analysis tools to give traders a comprehensive view of market action: Inside Bar Detection: Identifies the classic inside bar candlestick pattern. Moving Averages: Provides multiple moving averages to help determine trend and potential support/resistance levels. Information Table: Displays key market data in a concise table format. 1. Inside Bar Detection and Range The indicator marks inside bars on the chart. An inside bar is a candlestick where its entire range (high and low) falls within the range of the preceding candlestick (often called the "mother bar"). This pattern often signifies market consolidation or indecision. Customizable Marking: Users can choose the shape and color used to mark the inside bars, such as triangles, squares, or circles. Range Percentage: A label shows the range of the inside bar as a percentage of the previous bar's low, providing a quantitative measure of its size. Time Restriction: A setting allows displaying inside bars only for a specified number of past days, focusing analysis on recent price action. Customizable Label Size: Users can choose the size of the range percentage label for optimal visibility. 2. Moving Averages for Trend Analysis The indicator can plot up to four moving averages (MAs) on the chart. Moving averages smooth out price data to help identify trends and potential support and resistance levels. User-Selectable MA Type: For each MA, traders can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA). Customizable Length: Users can specify the length (number of periods) for each MA, such as 20, 50, 100, or 200. Customizable Color: Each MA's line color can be chosen to suit personal preferences. Trend Identification: When the price is above an MA, it suggests an uptrend, while prices below suggest a downtrend. The slope of the MA also indicates trend momentum. 3. Information Table for Key Data A customizable information table is displayed on the chart, providing a quick overview of important market data. Average Daily Range (ADR) Percentage: Shows the average daily range of the asset as a percentage, reflecting its historical volatility. Distance from EMAs: Displays how far the current price is from the 10, 20, and 50 period Exponential Moving Averages. A positive percentage indicates the price is above the MA, while a negative percentage means it's below. Customizable Table Elements: Users can choose the table's background color, text color, and text size for optimal readability. How to Use This Indicator: This indicator can be a valuable tool for traders using technical analysis: Inside Bar Breakouts: Inside bars often precede breakouts. Traders can use the inside bar markings and range percentage to identify potential breakout opportunities. Confirmation of Trends: Moving averages help confirm the direction of the trend, enabling traders to align their inside bar strategies with the prevailing market direction. Support and Resistance: Moving averages can act as dynamic support and resistance levels. Traders can look for inside bars forming near these levels as potential entry or exit points. Volatility and Range Analysis: The ADR percentage helps assess the normal daily range of an asset, which can be useful for setting realistic price targets and managing risk. Risk Management: The distance from EMAs can alert traders to potential overextended moves, providing information for setting stop-loss or take-profit levels. By combining these elements, this indicator provides a layered approach to market analysis, allowing traders to identify potential trading opportunities and manage risk effectively based on both candlestick patterns and trend-following indicators. Remember that no indicator guarantees success, and it's essential to use this tool in conjunction with other analysis techniques and proper risk management practices.
Indicador Pine Script®
por vinaykumar2403
HHT Signal Analyzer (Refined)HHT Signal Analyzer The HHT Signal Analyzer provides a real-time, smoothed approximation of the Hilbert-Huang Transform (HHT), designed to reveal adaptive cycles and phase changes in price action. It emulates Intrinsic Mode Functions (IMFs) using a double exponential moving average (EMA) filter to extract short-term oscillatory signals from price. This indicator is helpful for identifying subtle shifts in market behavior, such as when a trend is transitioning or weakening, and is especially effective when paired with trend-based tools like GRJMOM. How it works: Applies a double EMA to the price (EMA of EMA) Calculates the difference between the fast and slow EMA to emulate IMF behavior Amplifies the signal for clear visual feedback Highlights cycle slope changes with background coloring (green = rising, red = falling) Use Cases: Use slope direction to detect early phase shifts in the market Combine with trend indicators to confirm or fade moves Helps visualize when the market is entering a cycle crest or trough Best for: Traders looking to capture short-term reversals, cycle timing, or divergence with smooth and adaptive signals Can be used on any timeframe
Indicador Pine Script®
por bearbearbull23
HiddenRidder - Scalping - WVAP based on RSISTATEMENT : I’m NOT fan of intraday (or scalping) approach, but done some tradings with real money to verify my strategies. Works well on very small timeframe (15 mins and lower) This indicator is a very tight to scalping or intraday (not big fan), it equipped with: - VWAP (you may change the anchor "session" based or weekly, monthly ,,, etc). - Moving Average (with dynamic coloring base on direction). - You may "Enable " the high volume (including ultra-high) and low volume too. - You may "Enable" Show session , which create vertical dotted lines that indicates hourly, daily) for last few days back. - RSI is "not active" for testing purposes only. How to use it: ( on your own risk ) As showing below, add RSI andrew cardwell that used Andrew approach for direction. Above Weekly/Session VWAP along with RSI above 60 and MA (green), that's an enter point. And vise versa. Disclaimer These indicators are provided for educational purposes only and do not constitute financial advice or guarantees. Use is at your own risk, and all decisions remain your sole responsibility.
Indicador Pine Script®
por HiddenRidder