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VMS Momentum Trend Matrix Indicator [09.15 to 15.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation 🎯 Overview & Core Philosophy This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:15 AM to 3:30 PM trading sessions (Indian Market) with dynamic support/resistance levels. Five Pillars of Analysis: 1. Trend Matrix – Multiple indicator voting system 2. Momentum Suite – Multiple Hybrid oscillator 3. Volume Analysis - Buy/sell pressure quantification 4. Key Level Identification - Dynamic support/resistance 5. EMA Trend: Indicates the overall long-term direction. 📊 DASHBOARD INTERPRETATION - ROW BY ROW ROW 1: Indicator Name and Cell background colour changes with Trend Matrix ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this) Purpose: Long-term trend identification using Exponential Moving Averages What to Watch: • Major Trend: Overall market direction (Bullish/Bearish/Neutral) • Bullish Condition: All EMAs aligned upward • Bearish Condition: All EMAs aligned downward • Neutral: Mixed alignment Trading Significance: • Trading Condition: Current bias based on EMA alignment • Bullish Market: Focus on LONG positions only • Bearish Market: Focus on SHORT positions only • Neutral Market: Wait for clearer direction ROW 3-4: KEY LEVELS Purpose: Dynamic support and resistance identification Levels to Monitor: • VMS Line-1 (Support): Dynamic Support for long positions • VMS Line-2 (Resistance): Dynamic Resistance for short positions • Up/Down: Daily base levels from opening price calculations • Up: Daily support level based on opening price • Down: Daily resistance level based on opening price How Levels Work: • Wait for Line-1 and 2 Crossing • In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line • In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line • Provide clear entry/exit points • If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition. • If the price is above the up level, it can be considered as bullish and below as bearish ROW 5-6: VOLUME ANALYSIS Purpose: Measure buying vs selling pressure Key Metrics: • Total Buy Volume: Cumulative buying pressure • Total Sell Volume: Cumulative selling pressure • Bullish Candles: Number of up-candles in session • Bearish Candles: Number of down-candles in session Interpretation: • Buy Volume > Sell Volume: Bullish sentiment • Sell Volume > Buy Volume: Bearish sentiment • Bullish Candles Dominating: Upward momentum • Bearish Candles Dominating: Downward momentum ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this) Purpose: Short-term momentum strength and direction Critical Components: • Direction: Current momentum (BULLISH/BEARISH) • Strength: 0-100% strength measurement • Bullish Height: Positive momentum magnitude • Bearish Height: Negative momentum magnitude Strength Classification: • 80-100%: Very Strong - High conviction trades • 60-80%: Strong - Good trading opportunities • 40-60%: Moderate - Caution advised • 20-40%: Weak - Avoid trading • 0-20%: Very Weak - No trade zone ROW 9-11: TREND MATRIX Purpose: Consensus from Multiple technical indicators Matrix Scoring: • Bullish Signals: Number voting UP • Bearish Signals: Number voting DOWN • Neutral Signals: Non-committed indicators • Net Score: Bullish - Bearish signals Trend Classification: • Strong Uptrend: Net Score ≥ +5 • Uptrend: Net Score +1 to +4 • Neutral: Net Score = 0 • Downtrend: Net Score -1 to -4 • Strong Downtrend: Net Score ≤ -5 ROW 12: COMBINED ANALYSIS Purpose: Final integrated signal from all systems Bias Levels: • STRONG BULLISH: All systems aligned upward • BULLISH: Majority systems upward • NEUTRAL: Mixed or weak signals • BEARISH: Majority systems downward • STRONG BEARISH: All systems aligned downward Confidence Score: 0-100% reliability measurement ROW 13: TRADING VIEW Purpose: Clear action recommendations Possible Actions: • STRONG LONG: High conviction buy signal • MODERATE LONG: Medium conviction buy signal • WAIT FOR CONFIRMATION: No clear signal • MODERATE SHORT: Medium conviction sell signal • STRONG SHORT: High conviction sell signal 🎯 COMPLETE TRADING RULES BUY ENTRY CONDITIONS (All Must Be True) Primary Conditions: 1. Combined Bias: BULLISH or STRONG BULLISH 2. Trading Action: MODERATE LONG or STRONG LONG 3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG) 4. Trend Matrix: Net Score ≥ +3 5. 6-EMA Trend: Bullish or Neutral Confirmation Conditions: 6. Price Position: Above VMS Line-1 AND Base Up 7. Volume Confirmation: Buy Volume > Sell Volume 8. Bullish Candles: More bullish than bearish candles Risk Management: 9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower) 10. Position Size: Based on confidence score (higher score = larger position) 11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20% 12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION" SELL/SHORT ENTRY CONDITIONS (All Must Be True) Primary Conditions: 1. Combined Bias: BEARISH or STRONG BEARISH 2. Trading Action: MODERATE SHORT or STRONG SHORT 3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT) 4. Bearish Signals: ≥ 12 in Trend Matrix 5. Trend Matrix: Net Score ≤ -3 6. EMA Trend: Bearish or Neutral Confirmation Conditions: 6. Price Position: Below VMS Line-2 AND Base Down 7. Volume Confirmation: Sell Volume > Buy Volume 8. Bearish Candles: More bearish than bullish candles Risk Management: 9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher) 10. Position Size: Based on confidence score 11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20% 12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION" ⏰ ENTRY/EXIT TIMING Best Entry Times: • 9:30-10:00 AM: Early session momentum established • 11:00-11:30 AM: Mid-session confirmation • 1:30-2:00 PM: Afternoon momentum shifts Avoid Trading: • First 15 minutes: Excessive volatility • 12:00-1:00 PM: Low liquidity period • After 3:00 PM: Session closing volatility Exit Triggers: Profit Taking: • Target 1: 1:1 Risk-Reward (exit 50% position) • Target 2: 1.5:1 Risk-Reward (exit remaining 50%) • Trailing Stop: Move stop to breakeven after Target 1 Stop Loss Triggers: • Price crosses opposite VMS line • Combined Bias changes to NEUTRAL • Momentum Strength drops below 20% • Volume confirmation reverses • Emergency Exit: • Trend Matrix Net Score reverses direction • 6-EMA trend changes direction • Key support/resistance breaks against position 📈 TRADING SCENARIOS Scenario 1: STRONG BULLISH SETUP - Combined Bias: STRONG BULLISH - Trading Action: STRONG LONG - Momentum Strength: 75% - Trend Matrix: Net Score +8 - Price: Above VMS Line-1 and Base Up - Volume: Strong buy volume dominance ACTION: Enter LONG with full position size STOP LOSS: Below VMS Line-1 TARGET: 1.5:1 Risk-Reward ratio Scenario 2: MODERATE BEARISH SETUP - Combined Bias: BEARISH - Trading Action: MODERATE SHORT - Momentum Strength: 55% - Trend Matrix: Net Score -4 - Price: Below VMS Line-2 but above Base Down - Volume: Moderate sell volume dominance ACTION: Enter SHORT with half position size STOP LOSS: Above VMS Line-2 TARGET: 1:1 Risk-Reward ratio Scenario 3: NEUTRAL/WAIT SETUP - Combined Bias: NEUTRAL - Trading Action: WAIT FOR CONFIRMATION - Momentum Strength: 35% - Trend Matrix: Net Score 0 - Mixed volume signals ACTION: NO TRADE - Wait for clearer signals ________________________________________ ⚠️ RISK MANAGEMENT RULES Position Sizing: • STRONG Signals (80-100% confidence): 100% normal position • MODERATE Signals (60-79% confidence): 50-75% position • WEAK Signals (40-59% confidence): 25% position or avoid • VERY WEAK (<40% confidence): NO TRADE Daily Loss Limits: • Maximum 2% capital loss per day • Maximum 3 consecutive losing trades • Stop trading after the daily limit is reached Trade Management: • Never move the stop loss against a position • Take partial profits at predetermined levels • Never average down losing positions • Respect all exit signals immediately ________________________________________ 🔄 SIGNAL CONFIRMATION PROCESS Step 1: Trend Direction Check EMA alignment and Combined Bias Step 2: Momentum Strength Verify Momentum Strength ≥ 40% and direction matches trend Step 3: Volume Confirmation Confirm volume supports the direction Step 4: Matrix Consensus Ensure Trend Matrix agrees (Net Score ≥ |3|) Step 5: Price Position Verify price is on the correct side of key levels Step 6: Entry Execution Enter on a pullback to support/resistance with a stop loss ________________________________________ This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
Indicador Pine Script®
por madhavbbs
Dark Pool Estimate Signal TrackerDark Pool Estimate Signal — Detect Potential Institutional Activity Overview The Dark Pool Signal v1.6 indicator is designed to detect unusual trading activity near VWAP zones, which can be associated with institutional dark pool transactions. By combining volume spikes, VWAP proximity, and optional trend filters, it provides clear visual cues of potential hidden accumulation or distribution zones. Disclaimer: This script is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk. Past performance is not indicative of future results. 🔍 Core Logic This indicator identifies potential off-exchange activity by analyzing three key factors: Unusual Volume Spikes: Highlights bars where the current volume significantly exceeds its moving average by a user-defined multiplier. VWAP Proximity: Triggers when the price stays within a volatility-adjusted range (ATR-based) of the VWAP, a common characteristic of algorithmic execution. Trend Confirmation: An optional EMA filter helps align signals with the broader market direction. Accumulation Detection: Counts repeated signals within a lookback period to identify persistent institutional buying or selling pressure. The result is a set of visual and alert signals indicating possible institutional footprints. 🧩 Features Dynamic VWAP Range (ATR-based): Automatically adjusts VWAP proximity sensitivity based on current market volatility. Multi-tiered Signal Strength: Differentiates between Normal, Strong, and Accumulated signals to visualize the intensity of activity. Non-Repainting Confirmation: Signals are confirmed only on bar close to ensure they do not repaint. Language Support: Dual-language display (English / Korean). Customizable Visualization: Easily adjust label size, color transparency, offset, and the duration of highlighted zones. Smart Alert System (v1.6): Provides comprehensive alert() and alertcondition() calls for real-time push notifications. Recommended Timeframe Notice (v1.6): Displays a small on-chart note suggesting optimal timeframes for analysis. 🕒 Recommended Timeframes Type Recommended Use Description 1-Hour (default) Primary Analysis Offers a good balance between signal clarity and noise reduction. Ideal for most equities and ETFs. 30-Minute Short-term Confirmation Useful for intraday analysis and refining entry/exit points. Daily Macro View Helps identify long-term institutional positioning and potential trend reversal zones. < 15-Minute Experimental May generate excessive noise due to market micro-volatility. Not recommended for primary analysis. 💡 Tip: Combine 1H detection with Daily chart confirmation for a more robust, dual-layer view of institutional flow. 📊 Visualization Purple Diamonds: Strong or Normal Buy signals Red Diamonds: Strong or Normal Sell signals Translucent Boxes: Highlight the estimated duration of dark pool activity. Optional Labels: Display volume, VWAP delta, and signal strength for detailed analysis. All visual components can be toggled on or off in the settings. ⚙️ Alert System Create alerts for each specific signal type directly from the chart's alert menu or your script settings. ⚡ Strong Buy/Sell 📡 Accumulated Buy/Sell ⬆️ Normal Buy/Sell ➖ Neutral Activity (Volume spike near VWAP without clear direction) Set alert frequency to Once Per Bar Close for confirmed, non-repainting signals. 🧭 How to Use Add the indicator to your chart. Select your preferred language and timeframe. Customize visualization and alert settings to your preference. Observe how the combination of volume + VWAP + trend reveals potential accumulation or distribution zones. Use alerts to monitor for significant institutional activity in real-time. 🧠 Important Notes This indicator is non-repainting. Signals are confirmed at the close of each bar. It is intended for analytical and educational use, not as a direct trading system. It works across equities, ETFs, and crypto, but volume data reliability can vary by exchange. Always confirm signals with your own strategy and risk management.
Indicador Pine Script®
por lazydogsindicator
Delta Volume Signals by Claudio [hapharmonic]Modifications: Percentages without decimals. I replaced the 'Current Volume' row with two boxes: "Δ Vol" and its value, which changes color depending on the direction of the bearish/bullish candle. Signals can change color in the settings. Box spacing so the table doesn't constantly change size. To be modified: The Net Volume sign shouldn't change to negative when the candle is red. If anyone does this, let me know... claudio.ventola@hotmail.com Best regards!
Indicador Pine Script®
por claudiogabrielventola
Volume Delta Volume Signals by Claudio [hapharmonic]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © hapharmonic //@version=6 FV = format.volume FP = format.percent indicator('Volume Delta Volume Signals by Claudio ', format = FV, max_bars_back = 4999, max_labels_count = 500) //------------------------------------------ // Settings | //------------------------------------------ bool usecandle = input.bool(true, title = 'Volume on Candles',display=display.none) color C_Up = input.color(#12cef8, title = 'Volume Buy', inline = ' ', group = 'Style') color C_Down = input.color(#fe3f00, title = 'Volume Sell', inline = ' ', group = 'Style') // ✅ Nueva entrada para colores de señales color buySignalColor = input.color(color.new(color.green, 0), "Buy Signal Color", group = "Signals") color sellSignalColor = input.color(color.new(color.red, 0), "Sell Signal Color", group = "Signals") string P_ = input.string(position.top_right,"Position",options = , group = "Style",display=display.none) string sL = input.string(size.small , 'Size Label', options = , group = 'Style',display=display.none) string sT = input.string(size.normal, 'Size Table', options = , group = 'Style',display=display.none) bool Label = input.bool(false, inline = 'l') History = input.bool(true, inline = 'l') // Inputs for EMA lengths and volume confirmation bool MAV = input.bool(true, title = 'EMA', group = 'EMA') string volumeOption = input.string('Use Volume Confirmation', title = 'Volume Option', options = , group = 'EMA',display=display.none) bool useVolumeConfirmation = volumeOption == 'none' ? false : true int emaFastLength = input(12, title = 'Fast EMA Length', group = 'EMA',display=display.none) int emaSlowLength = input(26, title = 'Slow EMA Length', group = 'EMA',display=display.none) int volumeConfirmationLength = input(6, title = 'Volume Confirmation Length', group = 'EMA',display=display.none) string alert_freq = input.string(alert.freq_once_per_bar_close, title="Alert Frequency", options= ,group = "EMA", tooltip="If you choose once_per_bar, you will receive immediate notifications (but this may cause interference or indicator repainting). However, if you choose once_per_bar_close, it will wait for the candle to confirm the signal before notifying.",display=display.none) //------------------------------------------ // UDT_identifier | //------------------------------------------ type OHLCV float O = open float H = high float L = low float C = close float V = volume type VolumeData float buyVol float sellVol float pcBuy float pcSell bool isBuyGreater float higherVol float lowerVol color higherCol color lowerCol //------------------------------------------ // Calculate volumes and percentages | //------------------------------------------ calcVolumes(OHLCV ohlcv) => var VolumeData data = VolumeData.new() data.buyVol := ohlcv.V * (ohlcv.C - ohlcv.L) / (ohlcv.H - ohlcv.L) data.sellVol := ohlcv.V - data.buyVol data.pcBuy := data.buyVol / ohlcv.V * 100 data.pcSell := 100 - data.pcBuy data.isBuyGreater := data.buyVol > data.sellVol data.higherVol := data.isBuyGreater ? data.buyVol : data.sellVol data.lowerVol := data.isBuyGreater ? data.sellVol : data.buyVol data.higherCol := data.isBuyGreater ? C_Up : C_Down data.lowerCol := data.isBuyGreater ? C_Down : C_Up data //------------------------------------------ // Get volume data | //------------------------------------------ ohlcv = OHLCV.new() volData = calcVolumes(ohlcv) // Plot volumes and create labels plot(ohlcv.V, color=color.new(volData.higherCol, 90), style=plot.style_columns, title='Total',display = display.all - display.status_line) plot(ohlcv.V, color=volData.higherCol, style=plot.style_stepline_diamond, title='Total2', linewidth = 2,display = display.pane) plot(volData.higherVol, color=volData.higherCol, style=plot.style_columns, title='Higher Volume', display = display.all - display.status_line) plot(volData.lowerVol , color=volData.lowerCol , style=plot.style_columns, title='Lower Volume',display = display.all - display.status_line) S(D,F)=>str.tostring(D,F) volStr = S(math.sign(ta.change(ohlcv.C)) * ohlcv.V, FV) buyVolStr = S(volData.buyVol , FV ) sellVolStr = S(volData.sellVol , FV ) // ✅ MODIFICACIÓN: Porcentaje sin decimales buyPercentStr = str.tostring(math.round(volData.pcBuy)) + " %" sellPercentStr = str.tostring(math.round(volData.pcSell)) + " %" totalbuyPercentC_ = volData.buyVol / (volData.buyVol + volData.sellVol) * 100 sup = not na(ohlcv.V) if sup TC = text.align_center CW = color.white var table tb = table.new(P_, 6, 6, bgcolor = na, frame_width = 2, frame_color = chart.fg_color, border_width = 1, border_color = CW) tb.cell(0, 0, text = 'Volume Candles', text_color = #FFBF00, bgcolor = #0E2841, text_halign = TC, text_valign = TC, text_size = sT) tb.merge_cells(0, 0, 5, 0) tb.cell(0, 1, text = 'Current Volume', text_color = CW, bgcolor = #0B3040, text_halign = TC, text_valign = TC, text_size = sT) tb.merge_cells(0, 1, 1, 1) tb.cell(0, 2, text = 'Buy', text_color = #000000, bgcolor = #92D050, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(1, 2, text = 'Sell', text_color = #000000, bgcolor = #FF0000, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(0, 3, text = buyVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(1, 3, text = sellVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(0, 5, text = 'Net: ' + volStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.merge_cells(0, 5, 1, 5) tb.cell(0, 4, text = buyPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(1, 4, text = sellPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) cellCount = 20 filledCells = 0 for r = 5 to 1 by 1 for c = 2 to 5 by 1 if filledCells < cellCount * (totalbuyPercentC_ / 100) tb.cell(c, r, text = '', bgcolor = C_Up) else tb.cell(c, r, text = '', bgcolor = C_Down) filledCells := filledCells + 1 filledCells if Label sp = ' ' l = label.new(bar_index, ohlcv.V, text=str.format('Net: {0} Buy: {1} ({2}) Sell: {3} ({4}) {5}/\ {5}l {5}l', volStr, buyVolStr, buyPercentStr, sellVolStr, sellPercentStr, sp), style=label.style_none, textcolor=volData.higherCol, size=sL, textalign=text.align_left) if not History (l ).delete() //------------------------------------------ // Draw volume levels on the candlesticks | //------------------------------------------ float base = na,float value = na bool uc = usecandle and sup if volData.isBuyGreater base := math.min(ohlcv.O, ohlcv.C) value := base + math.abs(ohlcv.O - ohlcv.C) * (volData.pcBuy / 100) else base := math.max(ohlcv.O, ohlcv.C) value := base - math.abs(ohlcv.O - ohlcv.C) * (volData.pcSell / 100) barcolor(sup ? color.new(na, na) : ohlcv.C < ohlcv.O ? color.red : color.green,display = usecandle? display.all:display.none) UseC = uc ? volData.higherCol:color.new(na, na) plotcandle(uc?base:na, uc?base:na, uc?value:na, uc?value:na, title='Body', color=UseC, bordercolor=na, wickcolor=UseC, display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false) plotcandle(uc?ohlcv.O:na, uc?ohlcv.H:na, uc?ohlcv.L:na, uc?ohlcv.C:na, title='Fill', color=color.new(UseC,80), bordercolor=UseC, wickcolor=UseC, display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false) //------------------------------------------------------------ // Plot the EMA and filter out the noise with volume control. | //------------------------------------------------------------ float emaFast = ta.ema(ohlcv.C, emaFastLength) float emaSlow = ta.ema(ohlcv.C, emaSlowLength) bool signal = emaFast > emaSlow color c_signal = signal ? C_Up : C_Down float volumeMA = ta.sma(ohlcv.V, volumeConfirmationLength) bool crossover = ta.crossover(emaFast, emaSlow) bool crossunder = ta.crossunder(emaFast, emaSlow) isVolumeConfirmed(source, length, ma) => math.sum(source > ma ? source : 0, length) >= math.sum(source < ma ? source : 0, length) bool ISV = isVolumeConfirmed(ohlcv.V, volumeConfirmationLength, volumeMA) bool crossoverConfirmed = crossover and (not useVolumeConfirmation or ISV) bool crossunderConfirmed = crossunder and (not useVolumeConfirmation or ISV) PF = MAV ? emaFast : na PS = MAV ? emaSlow : na p1 = plot(PF, color = c_signal, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane) p2 = plot(PS, color = c_signal, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane) fill(p1, p2, top_value=crossover ? emaFast : emaSlow, bottom_value =crossover ? emaSlow : emaFast, top_color =color.new(c_signal, 80), bottom_color =color.new(c_signal, 95) ) // ✅ Usar colores configurables para señales plotshape(crossoverConfirmed and MAV, style=shape.triangleup , location=location.belowbar, color=buySignalColor , size=size.small, force_overlay=true,display =display.pane) plotshape(crossunderConfirmed and MAV, style=shape.triangledown, location=location.abovebar, color=sellSignalColor, size=size.small, force_overlay=true,display =display.pane) string msg = '--------- '+"Buy volume ="+buyVolStr+" Buy Percent = "+buyPercentStr+" Sell volume = "+sellVolStr+" Sell Percent = "+sellPercentStr+" Net = "+volStr+' ---------' if crossoverConfirmed alert("Price (" + str.tostring(close) + ") Crossed over MA " + msg, alert_freq) if crossunderConfirmed alert("Price (" + str.tostring(close) + ") Crossed under MA " + msg, alert_freq)
Indicador Pine Script®
por claudiogabrielventola
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System ## WHAT THIS INDICATOR DOES: This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center. ## INDICATOR VS STRATEGY - KEY DISTINCTION: **This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it: - Displays visual signals on your chart when entry conditions are met - Sends customizable alerts to your device/email when opportunities arise - Shows TP/SL levels for reference but does not place orders - Requires you to manually enter and exit positions based on signals - Works with all TradingView subscription levels (alerts included on all plans) **For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version. ## ALERT CAPABILITIES: This indicator includes four distinct alert conditions that can be configured independently: **1. New Channel Formation Alert** - Triggers when a fresh BOCS channel is identified - Message: "New BOCS channel formed - potential scalp setup ready" - Use this to prepare for upcoming trading opportunities **2. Long Scalp Entry Alert** - Fires when price touches the long entry zone - Message includes current price, calculated TP, and SL levels - Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5" **3. Short Scalp Entry Alert** - Fires when price touches the short entry zone - Message includes current price, calculated TP, and SL levels - Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75" **4. Any Entry Signal Alert** - Combined alert for both long and short entries - Use this if you want a single alert stream for all opportunities - Message: "BOCS Scalp Entry: at " **Setting Up Alerts:** 1. Add indicator to chart and configure settings 2. Click the Alert (⏰) button in TradingView toolbar 3. Select "BOCS Channel Scalper" from condition dropdown 4. Choose desired alert type (Long, Short, Any, or Channel Formation) 5. Set "Once Per Bar Close" to avoid false signals during bar formation 6. Configure delivery method (popup, email, webhook for automation platforms) 7. Save alert - it will fire automatically when conditions are met **Alert Message Placeholders:** Alerts use TradingView's dynamic placeholder system: - {{ticker}} = Symbol name (e.g., NQ1!) - {{close}} = Current price at signal - {{plot_1}} = Calculated take profit level - {{plot_2}} = Calculated stop loss level These placeholders populate automatically, creating detailed notification messages without manual configuration. ## KEY DIFFERENCE FROM ORIGINAL BOCS: **This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities: - **Original BOCS**: 1-3 signals per channel (only on breakout) - **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones) - **Trade Style**: Mean reversion vs trend following - **Hold Time**: Seconds to minutes vs minutes to hours - **Best Markets**: Ranging/choppy conditions vs trending breakouts This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts. ## TECHNICAL METHODOLOGY: ### Price Normalization Process: The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis. ### Volatility Detection: A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars). ### Channel Formation Logic: When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas. ### Entry Signal Generation: The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%): - **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2) - **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2) Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately. ### Cooldown Filter: An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period. ### ATR Volatility Filter: The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold: - If ATR ≥ threshold: Alerts enabled - If ATR < threshold: No alerts fire This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗). ### Take Profit Calculation: Two TP methods are available: **Fixed Points Mode**: - Long TP = Entry + (TP_Ticks × syminfo.mintick) - Short TP = Entry - (TP_Ticks × syminfo.mintick) **Channel Percentage Mode**: - Long TP = Entry + (ChannelRange × TP_Percent) - Short TP = Entry - (ChannelRange × TP_Percent) Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders. ### Stop Loss Placement: Stop losses are calculated just outside the channel boundary by a user-defined tick offset: - Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick) - Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick) This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement. ### Channel Breakout Management: Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations. ## INPUT PARAMETERS: ### Channel Settings: - **Nested Channels**: Allow multiple overlapping channels vs single channel - **Normalization Length**: Lookback for high/low calculation (1-500, default 100) - **Box Detection Length**: Period for volatility detection (1-100, default 14) ### Scalping Settings: - **Enable Long Scalps**: Toggle long alert generation on/off - **Enable Short Scalps**: Toggle short alert generation on/off - **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%) - **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5) - **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown) ### ATR Filter: - **Enable ATR Filter**: Toggle volatility filter on/off - **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.) - **ATR Length**: Smoothing period (1-100, default 14) - **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0) ### Take Profit Settings: - **TP Method**: Choose Fixed Points or % of Channel - **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30) - **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%) ### Appearance: - **Show Entry Zones**: Toggle zone labels on channels - **Show Info Table**: Display real-time indicator status - **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right) - **Long Color**: Customize long signal color (default: darker green for readability) - **Short Color**: Customize short signal color (default: red) - **TP/SL Colors**: Customize take profit and stop loss line colors - **Line Length**: Visual length of TP/SL reference lines (5-200 bars) ## VISUAL INDICATORS: - **Channel boxes** with semi-transparent fill showing consolidation zones - **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼" - **Entry signal arrows** below/above bars marking long/short alerts - **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL) - **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status - **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications ## HOW TO USE: ### For 1-3 Minute Scalping with Alerts (NQ/ES): - ATR Timeframe: "1" (1-minute) - ATR Min Value: 10.0 (for NQ), adjust per instrument - Entry Zone %: 20-25% - TP Method: Fixed Points, 20-40 ticks - SL Offset: 5-10 ticks - Cooldown: 2-3 bars to reduce alert spam - **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications - **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels ### For 5-15 Minute Day Trading with Alerts: - ATR Timeframe: "5" or match chart - ATR Min Value: Adjust to instrument (test 8-15 for NQ) - Entry Zone %: 20-30% - TP Method: % of Channel, 40-60% - SL Offset: 5-10 ticks - Cooldown: 3-5 bars - **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias - **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually ### For 30-60 Minute Swing Scalping with Alerts: - ATR Timeframe: "15" or "30" - ATR Min Value: Lower threshold for broader market - Entry Zone %: 25-35% - TP Method: % of Channel, 50-70% - SL Offset: 10-15 ticks - Cooldown: 5+ bars or disable - **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts - **Execution**: Larger timeframes allow more analysis time between alert and entry ### Webhook Integration for Semi-Automation: - Configure alert webhook URL to connect with platforms like TradersPost, TradingView Paper Trading, or custom automation - Alert message includes all necessary order parameters (direction, entry, TP, SL) - Webhook receives structured data when signal fires - External platform can auto-execute based on alert payload - Still maintains manual oversight vs full strategy automation ## USAGE CONSIDERATIONS: - **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality - **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation - **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation - **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume - **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts - **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts ## COMPATIBLE MARKETS: Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier TradingView subscription for request.security() functionality on timeframes below chart timeframe. ## KNOWN LIMITATIONS: - **Indicator does not execute trades** - alerts are informational only; you must manually place all orders - **Alert delivery depends on TradingView infrastructure** - delays or failures possible during platform issues - **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently - **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders - **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown - **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size - **ATR filter from lower timeframes** requires TradingView Premium/Pro+ for request.security() - **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops - **No partial closing capability** - full position management is manual; you determine scaling out - **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale ## RISK DISCLOSURE: Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually. ## ACKNOWLEDGMENT & CREDITS: This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community. Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution.
Indicador Pine Script®
por TradeManager_PRO
StratNinjaTable - VerticalA Pine Script v6 indicator that displays a vertical table with key The Strat data and supporting metrics. ✦ Table Structure: Overview: Ticker – the stock symbol. TF – the chart’s main timeframe. MFI – Money Flow Index with selectable timeframe. ATR – Average True Range with color coding: Green – below 3%. Yellow – between 3% and 6%. Red – above 6%. Timeframes: Displayed vertically (5m, 15m, 1H, D, W, M, etc.). Each shows the current bar type according to The Strat (1, 2U, 2D, 3). Text color reflects candle direction (green = close above open, red = close below open). Includes a countdown timer to bar close. Fundamentals: Market Cap – in billions. Sector – stock sector. SMA20 Δ – distance from the 20-period SMA (in %). Avg Volume (30d) – average 30-day volume (in millions). ✦ Adjustments Made: Removed the Strat Pattern section completely. Removed the DIR column – direction is now represented by Strat cell text color. Reordered Overview section: Ticker → TF → MFI → ATR. ATR now has three levels of coloring (Green/Yellow/Red) for >3% and >6%
Indicador Pine Script®
por koriatmanagement
Data Panel## 📊 Enhanced Data Panel This indicator provides an all-in-one data panel directly on your chart, giving you a quick, at-a-glance summary of a stock's real-time behavior. It's designed to help traders instantly assess volatility, volume, and momentum without needing multiple separate indicators. Key Features & Metrics Explained Fully Customizable: Nearly every metric can be toggled on or off in the settings, allowing you to build a panel that shows only what's important to you. You can also customize colors, text size, and table position. ADR (Average Daily Range): Shows the stock's average price movement per day. A high ADR % suggests higher volatility. ATR (Average True Range): A popular metric to measure market volatility, taking into account price gaps. Volume Analysis: Displays today's cumulative volume and compares it to the 20, 50, and 100-day average volumes, letting you know instantly if trading is heavier or lighter than usual. Volume Value (Turnover): Calculates the total monetary value of the shares traded for the day, showing the conviction behind the volume. Gap %: Shows the percentage gap between the previous day's close and the current day's open, highlighting morning catalysts. Icon Guide 💡 The panel uses icons to provide a quick visual summary. You can change their position or hide them in the settings. Volume & Value Icons 🔥 Extreme Volume: Volume is far above its average. 📊 High Volume: Volume is significantly higher than average. ✅ Above Average: Volume is higher than its 20-day average. 💤 Low Volume: Volume is below average. Volatility Icons (for ADR & ATR) ⚠️ Extreme Volatility: The stock is moving much more than usual. ⚡ High Volatility: Volatility is elevated. 📈 Normal Volatility: The stock is moving within its typical range. 😴 Low Volatility: The stock is unusually quiet. Trend & Momentum Icons 🚀 Strong Bullish: Price is up significantly for the day. 📈 Bullish: Price is up moderately. ➡️ Neutral: Price is flat or sideways. 📉 Bearish: Price is down moderately. 💥 Strong Bearish: Price is down significantly for the day. Alert Badges (in Header) Special icons appear in the header to flag unique market conditions: 🔥⚠️ Explosive Condition: Extreme volume is occurring alongside high volatility. 🔒 Squeeze Condition: Volatility and volume are both very low, suggesting a potential for a large move.
Indicador Pine Script®
por ocmodak
Smart Money Support/Resistance — LiteSmart Money Support/Resistance — Lite Overview & Methodology This indicator identifies support and resistance as zones derived from concentrated buying and selling pressure, rather than relying solely on traditional swing highs/lows. Its design focuses on transparency: how data is sourced, how zones are computed, and how the on‑chart display should be interpreted. Lower‑Timeframe (LTF) Data The script requests Up Volume, Down Volume, and Volume Delta from a lower timeframe to expose intrabar order‑flow structure that the chart’s native timeframe cannot show. In practical terms, this lets you see where buyers or sellers briefly dominated inside the body of a higher‑timeframe bar. bool use_custom_tf_input = input.bool(true, title="Use custom lower timeframe", tooltip="Override the automatically chosen lower timeframe for volume calculations.", group=grpVolume) string custom_tf_input = input. Timeframe("1", title="Lower timeframe", tooltip="Lower timeframe used for up/down volume calculations (default 5 seconds).", group=grpVolume) import TradingView/ta/10 as tvta resolve_lower_tf(useCustom, customTF) => useCustom ? customTF : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" get_up_down_volume(lowerTf) => = tvta.requestUpAndDownVolume(lowerTf) var float upVolume = na var float downVolume = na var float deltaVolume = na string lower_tf = resolve_lower_tf(use_custom_tf_input, custom_tf_input) = get_up_down_volume(lower_tf) upVolume := u_tmp downVolume := d_tmp deltaVolume := dl_tmp • Data source: TradingView’s ta.requestUpAndDownVolume(lowerTf) via the official TA library. • Plan capabilities: higher‑tier subscriptions unlock seconds‑based charts and allow more historical bars per chart. This expands both the temporal depth of LTF data and the precision of short‑horizon analysis, while base tiers provide minute‑level data suitable for day/short‑swing studies. • Coverage clarity: a small on‑chart Coverage Panel reports the active lower timeframe, the number of bars covered, and the latest computed support/resistance ranges so you always know the bounds of valid LTF input. Core Method 1) Data acquisition (LTF) The script retrieves three series from the chosen lower timeframe: – Up Volume (buyers) – Down Volume (sellers) – Delta (Up – Down) 2) Rolling window & extrema Over a user‑defined lookback (Global Volume Period), the algorithm builds rolling arrays of completed bars and scans for extrema: – Buyers_max / Buyers_min from Up Volume – Sellers_max / Sellers_min from Down Volume Only completed bars are considered; the current bar is excluded for stability. 3) Price mapping The extrema are mapped back to their source candles to obtain price bounds: – For “maximum” roles the algorithm uses the relevant candle highs. – For “minimum” roles it uses the relevant candle lows. These pairs define candidate resistance (max‑based) and support (min‑based) zones or vice versa. 4) Zone construction & minimum width To ensure practicality on all symbols, zones enforce a minimum vertical thickness of two ticks. This prevents visually invisible or overly thin ranges on instruments with tight ticks. 5) Vertical role resolution When both max‑ and min‑based zones exist, the script compares their midpoints. If, due to local price structure, the min‑based zone sits above the max‑based zone, display roles are swapped so the higher zone is labeled Resistance and the lower zone Support. Colors/widths are updated accordingly to keep the visual legend consistent. 6) Rendering & panel Two horizontal lines and a filled box represent each active zone. The Coverage Panel (bottom‑right by default) prints: – Lower‑timeframe in use – Number of bars covered by LTF data – Current Support and Resistance ranges If the two zones overlap, an additional “Range Market” note is shown. Key Inputs • Global Volume Period: shared lookback window for the extrema search. • Lower timeframe: user‑selectable override of the automatically resolved lower timeframe. • Visualization toggles: independent show/hide controls and colors for maximum (resistance) and minimum (support) zones. • Coverage Panel: enable/disable the single‑cell table and its readout. Operational Notes • The algorithm aligns all lookups to completed bars (no peeking). Price references are shifted appropriately to avoid using the still‑forming bar in calculations. • Second‑based lower timeframes improve granularity for scalping and very short‑term entries. Minute‑based lower timeframes provide broader coverage for intraday and short‑swing contexts. • Use the Coverage Panel to confirm the true extent of available LTF history on your symbol/plan before drawing conclusions from very deep lookbacks. Visual Walkthrough A step‑by‑step image sequence accompanies this description. Each figure demonstrates how the indicator reads LTF volume, locates extrema, builds price‑mapped zones, and updates labels/colors when vertical order requires it. Chart Interpretation This chart illustrates two distinct perspectives of the Smart Money Support/Resistance — Lite indicator, each derived from different lookback horizons and lower-timeframe (LTF) resolutions. 1- Short-term view (43 bars, 10-second LTF) Using the most recent 43 completed bars with 10-second intrabar data, the algorithm detects that both maximum and minimum volume extrema fall within a narrow range. The result is a clearly identified range market: resistance between 178.15–184.55 and support between 175.02–179.38. The Coverage Panel (bottom-right) confirms the scope of valid input: the lower timeframe used, number of bars covered, and the resulting zones. This short-term scan highlights how the indicator adapts to limited data depth, flagging sideways structure where neither side dominates. 2 - Long-term view (120 bars, 30-second LTF) Over a wider 120-bar lookback with higher-granularity 30-second data, broader supply and demand zones emerge. – The long-term resistance zone captures the concentration of buyers and sellers at the upper boundary of recent price history. – The long-term support zone anchors to the opposite side of the distribution, derived from maxima and minima of both buying and selling pressure. These zones reflect deeper structural levels where market participants previously committed significant volume. Combined Perspective By aligning the short-term and long-term outputs, the chart shows how the indicator distinguishes immediate consolidation (range market) from more durable support and resistance levels derived from extended history. This dual resolution approach makes clear that support and resistance are not static lines but dynamic zones, dependent on both timeframe depth and the resolution of intrabar volume data.
Indicador Pine Script®
por ata_sabanci
FSVZO | Lyro RSFSVZO | Lyro RS This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format. Understanding the Indicator's Components The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart. The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation. Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend. Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions. Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations. Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane. White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend. Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average. Suggested Use and Interpretation Traders might use this indicator in several ways: Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend. Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal. Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios. Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal. Customization Options The indicator includes settings groups that allow you to adjust its behavior and appearance: FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements. Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off. Colors: Choose from several pre-set color palettes to suit your visual preferences. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Indicador Pine Script®
por LyroRS
2
Momentum Volume Analyzer [CHE] Momentum Volume Analyzer — Adaptive momentum with volume-gated signals and expressive visual cues Summary This indicator combines a normalized momentum oscillator with a volume Z-score gate and adaptive gradient visuals. The oscillator centers around a midline and scales between a lower and an upper bound. Intensity is derived from the distance to the midline and is normalized inside a rolling window, which helps keep contrast consistent across regimes. Volume pressure is compressed to a discrete level between one and ten and is used to qualify momentum flips and extremes. Layered “burst” markers and optional background gradients provide immediate visual emphasis without adding new data sources. Pine version is v6. The script runs in a separate pane. Motivation: Why this design? Common oscillators flip rapidly during noisy conditions or flatten during calm periods, which obscures actionable shifts. A rolling normalization keeps the visual intensity stable across different regimes, and a volume gate reduces reactions when participation is weak. The goal is clearer momentum shifts that are supported by measurable activity rather than cosmetic smoothing alone. What’s different vs. standard approaches? Baseline reference: Classical RSI-style oscillators or simple filtered momentum without volume gating. Architecture differences: Local window normalization with gamma control for contrast. Volume converted to a Z-score and compressed into a discrete level between one and ten with a configurable cap. Directional color gradients that intensify with distance from the midline. Layered glow markers with optional trail and an internal label budget to avoid UI overload. Practical effect: Signals are visually stronger only when both momentum and volume align; background and line colors convey regime strength at a glance. How it works (technical) Momentum core: A high-pass path with automatic gain control produces a bounded oscillator centered around a midline. A simple moving average smooths the result over a short window. Normalization and contrast: The absolute distance from the midline is scaled inside a rolling window and limited between zero and one. Two gamma parameters separately shape contrast for the line and for labels. Coloring: When the oscillator is above the midline, a green gradient is used; below the midline, a red gradient is used. Intensity increases with normalized distance. Optional area fill to the midline and a background gradient reinforce strength. Volume levels: Volume is standardized over a lookback window, clipped by a user cap, and mapped to a level between one and ten. Only positive excursions are considered; non-positive values map to zero. Event markers: When the oscillator reaches extreme zones and the volume level is positive, the script spawns layered circular labels at fixed y-positions. A small trail can extend behind the event. An internal queue discards the oldest labels when a user-defined maximum is exceeded. Alerts: Alerts fire on overbought and oversold spikes, midline shifts with minimum intensity and volume, and continuation patterns inside strong zones. Parameter Guide TFRSI length (default six): Core momentum lookback. Shorter values react faster but are less stable. Signal SMA (default two): Light smoothing of the oscillator. Larger values reduce jitter. Gradient window (default one hundred): Normalization window for intensity. Longer values produce steadier contrast but slower adaptation. Line/marker transparency (default zero): Visual prominence of drawings. Higher values reduce dominance. Background on and BG transparency (defaults true and eighty-five): Enables and tunes the pane background gradient. Area fill to fifty and Fill transparency (defaults true and eighty): Fills between the oscillator and the midline. Gamma bars/labels and Gamma plot (defaults zero point seven and zero point eight): Contrast shapers for markers and line. Higher values compress low intensities. Bottom marker and Show last N (defaults true and three hundred thirty-three): Optional compact heat markers with a display cap. Up/Down colors: Dark and neon pairs for positive and negative regimes. Lookback (default two hundred) and Z cap (default five): Volume standardization window and clipping level before scaling to one through ten. Enable bursts, Layers, Trail, Trail transparency, Max live labels, Size scale: Control the layered glow effect, trail length, opacity, label budget, and size multiplier. Reducing the size scale lowers visual dominance. Spike min level, Shift min level, Min intensity, Rise/Fall length: Gates for alerts; adjust to balance sensitivity and false positives. Reading & Interpretation Line color and intensity: Green shades above the midline indicate bullish pressure; red shades below indicate bearish pressure. Stronger color corresponds to stronger normalized distance. Background and fill: Reinforce regime strength; consider reducing transparency when the pane feels too busy. Bursts and trails: Emphasize volume-backed extremes. Larger bursts reflect stronger volume levels or scaling choices. Volume level: Internal level between one and ten. Levels near the upper bound signal exceptional activity. Practical Workflows & Combinations Trend following: Use midline cross upward with minimum shift level and intensity as a trigger. Confirm with structure such as higher highs and higher lows. For shorts, reverse the conditions. Exits and risk: Fade exposure when intensity weakens toward the midline or when volume level drops below the shift threshold. Consider disabling bursts when monitoring many symbols. Multi-asset and multi-timeframe: Defaults are designed to travel across liquid futures, large-cap equities, and major crypto pairs. For higher timeframes, increase the lookback window and consider reducing the Z cap. Behavior, Constraints & Performance Repaint and confirmation: Signals are evaluated on the live bar. They can appear and withdraw before bar close. For confirmed signals, require closed-bar alerts or manual confirmation. Higher-timeframe sources: Not used. No `security` calls. Resources: `max_bars_back` is two thousand. The script uses arrays and label objects, including loops for trails. The label budget mitigates clutter. Known limits: Very illiquid symbols with unstable volume can reduce the usefulness of the Z-score. Sharp regime changes can still produce brief flips. Sensible Defaults & Quick Tuning Starting point: TFRSI length six, Signal two, Gradient window one hundred, Z cap five, Spike level six, Shift level four, Min intensity zero point four, Rise length three, Size scale zero point five. Too many flips: Increase Signal, increase Gradient window, or raise Shift level. Too sluggish: Decrease TFRSI length or reduce Gradient window. Bursts too dominant: Lower Size scale or reduce Layers; increase Trail transparency or set Trail length to zero. What this indicator is—and isn’t This is a visualization and signal layer that couples momentum with a volume gate and adaptive visuals. It is not a complete trading system, optimizer, or predictor. Use it together with market structure, risk controls, and position management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino
Indicador Pine Script®
por chervolino
3
VWAP Momentum Oscillator How It Works Core Calculation Method The oscillator combines four key market measurements into a single, normalized reading: 1. Price-VWAP Deviation: `(Close - VWAP) / VWAP × 100` 2. VWAP-MA Momentum: `(VWAP - MovingAverage) / MovingAverage × 100` 3. Anchored VWAP Strength: Average of high/low anchor deviations from rolling VWAP 4. Range Position: `(Close - PeriodLow) / (PeriodHigh - PeriodLow) × 100 - 50` Dynamic Signal Line The signal line uses an EMA that automatically adjusts its length based on your chart timeframe: - Futures: Always covers 23 hours of trading (1,380 minutes) - Stocks: Always covers 6.5 hours of trading (390 minutes) - Examples: 276 periods on 5-min futures chart, 1,380 periods on 1-min futures chart Trading Signals 🟢 Buy Signals - Condition: Main oscillator crosses above signal line while below zero - Logic: Momentum turning bullish from oversold conditions - Visual: Green "BUY" label below price action 🔴 Sell Signals - Condition: Main oscillator crosses below signal line while above zero - Logic: Momentum turning bearish from overbought conditions - Visual: Red "SELL" label above price action ⚠️ Extreme Warnings - Extreme Overbought: Red triangle when oscillator crosses above +4.0 - Extreme Oversold: Green triangle when oscillator crosses below -4.0 - Purpose: Risk management alerts, not entry/exit signals Oscillator Zones Interpretation Guide - Above +2.0: Strong bullish momentum zone (green background) - 0 to +2.0: Mild bullish territory - 0 to -2.0: Mild bearish territory - Below -2.0: Strong bearish momentum zone (red background) - Above +4.0: Extreme overbought (caution advised) - Below -4.0: Extreme oversold (potential reversal zone) Customization Options Moving Average Settings - EMA/SMA Toggle: Choose between exponential or simple moving average - Color Customization: Adjust MA line color and width Visual Controls - Bullish/Bearish Colors: Customize momentum zone colors - Signal Line: Toggle visibility and adjust color - Line Widths: Control thickness of all plot lines Anchor Modes - NY Session Only: Anchors reset at NY market open (9:30 AM ET) - 24H NY Day: Anchors reset at NY calendar day change (midnight ET) Best Practices Timeframe Selection - Scalping: 1-5 minute charts for quick momentum changes - Day Trading: 5-15 minute charts for clearer trend signals - Swing Trading: 1-4 hour charts for major momentum shifts Signal Confirmation - Wait for crossovers: Don't trade on oscillator position alone - Respect extreme levels: Exercise caution above +4 or below -4 - Use with price action: Combine with support/resistance levels Risk Management - Extreme zones: Reduce position size when oscillator is extended - Failed signals: Exit quickly if momentum doesn't follow through - Market context: Consider overall trend direction and market volatility Technical Specifications Calculation Components - Base Length: 1,380 periods (futures) / 390 periods (stocks) - Signal Line: Dynamic EMA covering one full trading day - Smoothing: 3-period SMA on raw oscillator (adjustable) - Update Frequency: Real-time on every price tick Performance Notes - Resource Efficient: Optimized calculations minimize CPU usage - Memory Friendly: Uses incremental VWAP calculations - Fast Loading: Minimal historical data requirements Version History & Development This oscillator evolved from advanced VWAP overlay strategies, transforming complex multi-line analysis into a single, actionable momentum gauge. The indicator maintains the sophistication of institutional VWAP analysis while providing the clarity needed for retail trading decisions. Core Philosophy Traditional VWAP indicators show where price is relative to volume-weighted averages, but they don't quantify momentum or provide clear entry/exit signals. This oscillator solves that problem by normalizing all VWAP relationships into a single, bounded indicator that works consistently across all timeframes and asset classes. --- Open Source License: This indicator is provided free for the TradingView community. Feel free to modify and enhance according to your trading needs.
Indicador Pine Script®
por PrestigeWorldwideTradingCo
Smart Money — Volume Panel + OBV Smart Money — Volume Panel + Scaled OBV This indicator combines classic volume analysis with a scaled On-Balance Volume (OBV) line, helping spot smart money activity: Volume bars – color changes dynamically: 🟢 green = high volume & OBV rising 🔴 red = high volume & OBV falling 🟠 orange = high volume but OBV neutral ⚪ gray = low volume Yellow line – volume moving average (MA) Purple line – high-volume threshold (MA × multiplier) OBV line (green/red) – scaled OBV plotted in the same range as volume for easier comparison.
Indicador Pine Script®
por ceber84
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis. 🟠 CONCEPTS The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation. 🟠 FEATURES Automatic detection of bullish and bearish FVGs with ATR-based thresholding. Inversion logic: mitigated gaps flip into opposite-colored IFVG zones. Volume text overlay inside each zone showing up vs down volume. Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation. 🟠 USAGE Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
Indicador Pine Script®
por AlgoAlpha
15
Lakshmi - Vajra Energy Signal (VES)Vajra Energy Signal (VES) is an advanced volume analysis indicator that detects energy accumulated inside the market. When assessing the strength of trading activity, conventional practice looks at the magnitude of volume; VES is designed with the understanding that the same volume can have different meanings depending on the price range. VES analyzes the complex relationship between price movement and volume with a proprietary algorithm and can detect internal market activities that are invisible from surface‑level price action, visualizing the characteristic whereby the value rises before a breakout. In other words, VES views the market as an “energy system.” In the energy accumulation phase, relatively high volume occurs relative to the price range, and in the energy release phase, the stored energy is emitted as high volatility in price, that is, a breakout—this is the core concept on which VES is established. ⚡️ Basic Demonstration i.imgur.com As you can see in the image above, VES simply displays the highs and lows of energy stored in the market as a thin line in a separate panel. It is easy for traders to understand its intuitive patterns: it rises when hidden buying accumulation or selling activity continue and sink when a price breakout occurs. It can be applied across symbols and markets (stocks, commodities, cryptocurrencies, spot, and futures). While reducing clutter in price scale labels, it also supports dynamic autoscaling. ⚡️ Practical Usage VES is expected to be used for the following purposes. - Entry signal When the VES value continues to rise—i.e., during energy accumulation—it can be considered on standby for a breakout. After a breakout, a trader can confirm the trend direction and enter. - Exit signal If the VES value rises during a trend, consider the possibility of a reversal and consider taking profits. - Risk management If the VES value remains elevated for a long period, regard it as increased market uncertainty and an approaching breakout; adopt a cautious trading strategy to prepare for higher volatility and adjust position size. For example, in the BINANCE:SOLUSDT daily chart below, VES clearly shows how it functions in short‑term trading. i.imgur.com In September 2023, when the price was moving around 20 USDT, VES formed frequent small spikes. These early spikes suggest that market participants were still in a wait‑and‑see mode and that small‑scale accumulation was being conducted intermittently. A decisive change came in early October 2023. While the price still stagnated in the 20–25 USDT range, VES suddenly formed a huge spike. The scale of this spike was far larger than those in September 2023, clearly suggesting that hidden substantial trading activities by large investors had begun. In mid‑October 2023, the price began to rise. It climbed stepwise from 25 USDT to 40 USDT, then to 60 USDT and 75 USDT, and then surged to above 120 USDT within just a few weeks. This suggests that the energy built in the buy accumulation phase in early October 2023 was converted into price appreciation. Therefore, after such a large VES signal is observed and the price breaks upward, entering a long position could have been profitable. A large VES reaction is not only a quiet “buy signal” as in the example above; it can also be a “sell signal.” Such a case is explained below using an example on the BTC chart. i.imgur.com This BITSTAMP:BTCUSD 4‑hour chart is a valuable example showing how VES detects top formation on a short timeframe. In the first half of February 2024, the price moved in a relatively narrow 96,000–99,000 USD range. During this period, VES remained stable at low levels, and the market continued a calm uptrend. The first sign appeared on February 16, 2024. While the price still held around 97,000 USD, VES formed a clearly identifiable small spike. This implied that some large investors had begun to take profits, or that new sellers had started to build short positions. However, at that point, the impact on price was limited, and many traders may have overlooked the signal. The decisive turning point came on February 23, 2024. With the price moving around 98,000 USD, VES suddenly formed a huge spike. The scale of this spike was far larger than previous moves, clearly indicating that significant energy was accumulating. Importantly, even at this moment the price still remained at the highs. On the surface, price barely moved and the bull trend appeared intact, but VES detected a major internal change underway. On February 24, 2024, the price collapsed and began to fall. It dropped about 15% from 97,000 USD to 82,000 USD in a few days. The speed and magnitude of this decline corroborated the quiet “sell signal” indicated by the VES spikes. The key lesson from this chart is that a VES spike does not necessarily mean buy accumulation. A large VES spike formed at high prices may instead indicate a distribution phase—that is, large investors exiting or building short positions. When the price is at elevated levels, a VES spike should be considered not only as a precursor to further upside but also as a warning of potential downside. From a trading‑strategy perspective, the huge VES spike on February 23, 2024 was a clear signal to exit or to consider entering short positions. At that point, traders should have either closed long positions or to consider building a short position. The moment when price started to decline from its peak was exactly the entry timing for a short. On the 4‑hour timeframe, changes in VES appear faster and more dramatically. While this allows more agile responses, the risk of false signals is also higher; therefore, confirmation on other timeframes and comprehensive judgment with price action are essential. VES is a powerful tool for reading internal market activities, and this chart clearly shows that its interpretation requires flexibility that takes into account market conditions and price location. ⚡️ Parameter Settings Strength 1: The lower the number, the more it emphasizes responses closer to the present timeframe; the higher the number, the more it emphasizes responses farther from the present timeframe. 5 is recommended. Strength 2: The lower the number, the greater the volatility of the value; the higher the number, the smaller the volatility. 5 is recommended. Scale: Adjusts the display scale. −30 is recommended. ⚡️ Conclusion Vajra Energy Signal (VES) visualizes the cycle of energy accumulation in the market from the relative relationship between price range and volume, detecting hidden activities by market participants that conventional volume analysis cannot capture. VES serves as a powerful auxiliary tool for early detection of turning points, enabling deeper market understanding and more accurate timing decisions. As the examples show, there is a possibility of sensing major price movements in advance. When using VES, flexible interpretation according to market environment and price location is required, and it demonstrates its true value when combined with price action and other analysis methods such as support/resistance. ⚡️ Important Notes - VES is a tool that infers internal market energy; it does not guarantee trades or suggest future results. - We strongly recommend using it together with price action analysis and support/resistance. - Confirmation across different timeframes improves reliability. - Effectiveness may vary depending on market conditions and liquidity. - Very illiquid instruments or newly listed assets may produce more noise. ⚡️ How to Get Access This indicator is Public Invite‑Only. If you would like access, please apply by following the Author’s Instructions.
Indicador Pine Script®
por lakshmivibha
MACD (The Moving Average Convergence Divergence)The Moving Average Convergence Divergence (MACD) is a momentum indicator used in technical analysis to identify trends, measure their strength, and signal potential reversals. It is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA, creating the MACD line. A 9-period EMA of the MACD line, known as the signal line, is then plotted to generate buy or sell signals. Positive MACD values suggest upward momentum, while negative values indicate downward momentum. Traders often watch for crossovers, divergences, and movements relative to the zero line to make informed decisions.
Indicador Pine Script®
por BFAS76
Volume Aggregated (Lite)Volume Aggregated (Lite) is a lightweight yet powerful tool designed to provide traders with a consolidated view of trading volume across major perpetual futures markets. Instead of relying solely on the volume of a single exchange, this indicator aggregates and normalizes data from multiple venues, giving a broader and more representative measure of market activity. Supported Exchanges: Binance (USDT.P & USDC.P) Bybit (USDT.P & USD.P) OKX (USDT.P & USD.P) Bitget (USDT.P & USD.P) Coinbase (USDC.P) Users can toggle each exchange individually, allowing flexible customization depending on which markets they consider most relevant. Denomination Options: COINS: Volume expressed in the base currency (e.g., BTC, ETH). USD: Volume normalized to USD values by multiplying with price. Why it’s useful: Volume is a critical component of technical analysis, reflecting market participation and conviction behind price moves. However, relying on a single exchange can create blind spots, especially in crypto where liquidity is fragmented. By combining data from multiple large exchanges, this indicator offers: A more comprehensive measure of market interest. A normalized comparison between exchanges with different quote currencies (e.g., USDT, USD, USDC). A volume stream that can be used as a custom source for other indicators, strategies, or overlays within TradingView. Practical Applications: Trend Confirmation: Check if aggregated volume supports price direction. Breakout Validation: Identify whether breakouts are backed by broad participation across venues. Divergence Detection: Spot situations where price moves without sufficient cross-exchange volume. Custom Indicator Input: Since it outputs a clean series, it can be plugged into moving averages, oscillators, or custom-built scripts. Technical Details: The script uses request.security() to pull volume data across exchanges and normalizes values when required (e.g., USD-quoted pairs divided by the instrument’s price). It then aggregates all valid inputs into a single stream. The result is displayed as color-coded columns (green for bullish candles, red for bearish), making it easy to interpret at a glance. This “Lite” version keeps the focus on core functionality: aggregation, normalization, and straightforward visualization—avoiding unnecessary complexity while remaining highly adaptable for custom analysis.
Indicador Pine Script®
por mxdvt07
BOCS AdaptiveBOCS Adaptive Strategy - Automated Volatility Breakout System WHAT THIS STRATEGY DOES: This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss. TECHNICAL METHODOLOGY: Price Normalization Process: The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels. Volatility Detection: A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars). Channel Formation Logic: When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries. Breakout Signal Generation: Two detection modes are available: Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks. Any Touch Mode: Breakout occurs when the close price exceeds the boundary. When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart. ATR-Based Risk Management: The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14). Exit levels are calculated at the moment of breakout: Long Entry Price = Upper channel boundary Long TP1 = Entry + (ATR × TP1 Multiplier) Long TP2 = Entry + (ATR × TP2 Multiplier) Long SL = Entry - (ATR × SL Multiplier) For short trades, the calculation inverts: Short Entry Price = Lower channel boundary Short TP1 = Entry - (ATR × TP1 Multiplier) Short TP2 = Entry - (ATR × TP2 Multiplier) Short SL = Entry + (ATR × SL Multiplier) Trade Execution Logic: When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average. If all conditions are met: strategy.entry() opens a position using the user-defined number of contracts strategy.exit() immediately places a stop loss order The code monitors price against TP1 and TP2 levels on each bar When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order. Volume Analysis System: The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available: Volume Mode: Shows total volume as bars scaled relative to the 20-period average Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades. INPUT PARAMETERS: Strategy Settings: Number of Contracts: Fixed quantity to trade per signal (1-1000) Require Volume Confirmation: Toggle to only trade signals with volume >120% of average TP1 Close Contracts: Exact number of contracts to close at first target (1-1000) Use Trading Hours Filter: Toggle to restrict trading to specified session Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600") Main Settings: Normalization Length: Lookback bars for high/low calculation (1-500, default 100) Box Detection Length: Period for volatility peak/trough detection (1-100, default 14) Strong Closes Only: Toggle between body midpoint vs close price for breakout detection Nested Channels: Allow multiple overlapping channels vs single channel at a time ATR TP/SL Settings: ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.) ATR Length: Smoothing period for ATR (1-100, default 14) Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0) Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0) Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0) Enable Take Profit 2: Toggle second profit target on/off VISUAL INDICATORS: Channel boxes with semi-transparent fill showing consolidation zones Green/red colored zones at channel boundaries indicating breakout areas Volume bars displayed within channels using selected mode TP/SL lines with labels showing both price level and distance in points Entry signals marked with up/down triangles at breakout price Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status HOW TO USE: For 2-Minute Scalping: Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods. For 5-15 Minute Day Trading: Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional. For Hourly+ Swing Trading: Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups. BACKTEST CONSIDERATIONS: Strategy performs best during trending or volatility expansion phases Consolidation-heavy or choppy markets produce more false signals Shorter timeframes require wider stop loss multipliers due to noise Commission and slippage significantly impact performance on sub-5-minute charts Volume confirmation generally improves win rate but reduces trade frequency ATR multipliers should be optimized for specific instrument characteristics COMPATIBLE MARKETS: Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires TradingView data feed that includes volume for volume confirmation features to function. KNOWN LIMITATIONS: Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility request.security() on lower timeframes requires higher-tier TradingView subscription False breakouts inherent to breakout strategies cannot be completely eliminated Performance varies significantly based on market regime (trending vs ranging) Partial closing logic requires sufficient position size relative to TP1 close contracts setting RISK DISCLOSURE: Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. ACKNOWLEDGMENT & CREDITS: This strategy is built upon the channel detection methodology created by AlgoAlpha in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns and sharing this innovative technique with the TradingView community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring.
Indicador Pine Script®
por TradeManager_PRO
13
Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection. 🔶 Volume-Weighted Money Flow Analysis Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise. // Volume-weighted flows up_volume = price_up ? volume : 0 down_volume = price_down ? volume : 0 // Money Flow calculation up_vol_sum = ta.sma(up_volume, mf_length) down_vol_sum = ta.sma(down_volume, mf_length) total_volume = up_vol_sum + down_vol_sum money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0 🔶 Enhanced Hyper Wave Oscillator Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes. // Enhanced MACD-based oscillator fast_ma = ta.ema(src, hw_fast) slow_ma = ta.ema(src, hw_slow) macd_line = fast_ma - slow_ma signal_line = ta.ema(macd_line, hw_signal) // Proper normalization using percentage of price price_base = ta.sma(close, 50) macd_normalized = macd_line / price_base hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0 🔶 Multi-Factor Confluence System Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals. 🔶 Fixed Threshold Levels Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions. 🔶 Overflow Detection Technology Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points. 🔶 Dual Oscillator Integration The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns. // Multi-factor confluence scoring confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) + (mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0) confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) + (mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0) confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4 🔶 Intelligent Signal Generation The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength. 🔶 Visual Confluence Zones Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless. 🔶 Threshold Visualization Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity. 🔶 Candle Color Integration Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making. 🔶 Overflow Alert System Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation. 🔶 Customizable Display Options Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences. 1 Week 1 Day 15 Min This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
Indicador Pine Script®
por AlphaExtract
1