Get started

Indicators and strategies

HoneG_実体比率表示最新のローソク足にリアルタイム実体比率を表示する補助ツールです。 陽線の場合なら、実体÷（実体＋上ヒゲ）の％をローソク足の上に表示させ、 陰線の場合なら、実体÷（実体＋下ヒゲ）の％をローソク足の下に表示します。 This is an auxiliary tool that displays the real-time body ratio on the latest candlestick. For bullish candles, it displays the percentage of body ÷ (body + upper shadow) above the candlestick. For bearish candles, it displays the percentage of body ÷ (body + lower shadow) below the candlestick.
Pine Script® indicator
by TVYAMA
Combined Triggers Dashboard//@version=6 indicator("Combined Triggers Dashboard", overlay=true) // ======================= INPUTS ======================= // Daily Trigger shortDEMA_D = input.int(10, "Daily 10 DEMA") longDEMA_D = input.int(20, "Daily 20 DEMA") volAvgLen_D = input.int(20, "Daily 20-day Avg Volume") volMultiplier_D = input.float(3, "Daily Volume Multiplier") weekDEMAlen_D = input.int(10, "10-Week DEMA Reference for Daily Trigger") // Weekly Trigger shortDEMA_W = input.int(10, "Weekly 10 W DEMA") longDEMA_W = input.int(20, "Weekly 20 W DEMA") volAvgLen_W = input.int(50, "50-day Avg Volume for Weekly Trigger") volMultiplier_W = input.float(3, "Weekly Volume Multiplier") // Original Trigger (example) shortDEMA_O = input.int(10, "Original 10 DEMA") longDEMA_O = input.int(20, "Original 20 DEMA") volAvgLen_O = input.int(20, "Original 20-day Avg Volume") volMultiplier_O = input.float(3, "Original Volume Multiplier") // ======================= FUNCTIONS ======================= f_dema(_src, _len) => ema1 = ta.ema(_src, _len) ema2 = ta.ema(ema1, _len) 2 * ema1 - ema2 // ======================= DAILY TRIGGER ======================= dema10D = f_dema(close, shortDEMA_D) dema20D = f_dema(close, longDEMA_D) dailyVol = volume avgVol20 = ta.sma(dailyVol, volAvgLen_D) volCondition_D = dailyVol > volMultiplier_D * avgVol20 priceCondition_D = close > dema10D demaCondition_D = dema10D > dema20D weeklyClose_D = request.security(syminfo.tickerid, "W", close) dema10W_D = ta.ema(weeklyClose_D, weekDEMAlen_D) * 2 - ta.ema(ta.ema(weeklyClose_D, weekDEMAlen_D), weekDEMAlen_D) trigger_D = priceCondition_D and demaCondition_D and volCondition_D plotshape(trigger_D, title="Daily Trigger", style=shape.triangleup, location=location.abovebar, text="DTRG", textcolor=color.white, color=color.new(#FF4500, 0), size=size.small) alertcondition(trigger_D, title="Daily DEMA Trigger Alert", message="Daily DEMA trigger detected") // ======================= WEEKLY TRIGGER ======================= weeklyClose_W = request.security(syminfo.tickerid, "W", close) dema10W = f_dema(weeklyClose_W, shortDEMA_W) dema20W = f_dema(weeklyClose_W, longDEMA_W) dailyVolW = volume avgVol50 = ta.sma(dailyVolW, volAvgLen_W) volCondition_W = dailyVolW > volMultiplier_W * avgVol50 priceCondition_W = close > dema20W demaCondition_W = dema10W > dema20W trigger_W = priceCondition_W and demaCondition_W and volCondition_W plotshape(trigger_W, title="Weekly Trigger", style=shape.triangledown, location=location.abovebar, text="WTRG", textcolor=color.white, color=color.new(#1E90FF, 0), size=size.small) alertcondition(trigger_W, title="Weekly DEMA Trigger Alert", message="Weekly DEMA trigger detected") // ======================= ORIGINAL TRIGGER ======================= dema10O = f_dema(close, shortDEMA_O) dema20O = f_dema(close, longDEMA_O) dailyVolO = volume avgVolO = ta.sma(dailyVolO, volAvgLen_O) volCondition_O = dailyVolO > volMultiplier_O * avgVolO priceCondition_O = close > dema10O demaCondition_O = dema10O > dema20O trigger_Orig = priceCondition_O and demaCondition_O and volCondition_O plotshape(trigger_Orig, title="Original Trigger", style=shape.labelup, location=location.belowbar, text="TRG", textcolor=color.white, color=color.new(#32CD32, 0), size=size.small) // ======================= COMBINED TABLE ======================= var table dash = table.new(position.top_right, 2, 20, border_width=1) if barstate.islast // --- DAILY TRIGGER (rows 0-4) --- table.cell(dash, 0, 0, "Daily Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 0, trigger_D ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_D ? color.new(#FF4500, 0) : color.new(#555555, 50)) table.cell(dash, 0, 1, "CMP > 10D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 1, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_D ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 2, "10D > 20D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 2, str.tostring(dema10D, format.price) + " > " + str.tostring(dema20D, format.price), text_color=color.white, bgcolor=demaCondition_D ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 3, "Daily Vol > 3x20D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 3, str.tostring(dailyVol, format.volume) + " / " + str.tostring(avgVol20, format.volume), text_color=color.white, bgcolor=volCondition_D ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 4, "10W DEMA Ref", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 4, str.tostring(dema10W_D, format.price), text_color=color.white, bgcolor=color.new(#00FFFF, 0)) // --- WEEKLY TRIGGER (rows 5-9) --- table.cell(dash, 0, 5, "Weekly Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 5, trigger_W ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_W ? color.new(#1E90FF, 0) : color.new(#555555, 50)) table.cell(dash, 0, 6, "CMP > 20W DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 6, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_W ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 7, "10W > 20W DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 7, str.tostring(dema10W, format.price) + " > " + str.tostring(dema20W, format.price), text_color=color.white, bgcolor=demaCondition_W ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 8, "Daily Vol > 3x50D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 8, str.tostring(dailyVolW, format.volume) + " / " + str.tostring(avgVol50, format.volume), text_color=color.white, bgcolor=volCondition_W ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50)) // --- ORIGINAL TRIGGER (rows 10-14) --- table.cell(dash, 0, 10, "Original Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 10, trigger_Orig ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_Orig ? color.new(#32CD32, 0) : color.new(#555555, 50)) table.cell(dash, 0, 11, "CMP > 10D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 11, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_O ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 12, "10D > 20D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 12, str.tostring(dema10O, format.price) + " > " + str.tostring(dema20O, format.price), text_color=color.white, bgcolor=demaCondition_O ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 13, "Daily Vol > 3x20D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 13, str.tostring(dailyVolO, format.volume) + " / " + str.tostring(avgVolO, format.volume), text_color=color.white, bgcolor=volCondition_O ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50))
Pine Script® indicator
by Nekhileshinvestor
High Volume Candle Detector by Ravi Shinde📊 High Volume Candle Detector 🎯 Overview Identify exceptional volume spikes that signal institutional activity, breakouts, and reversals. Detects candles with volume exceeding a customizable threshold (default: 3x average volume over 20 periods). ✨ Key Features 🔧 Customizable Settings Volume Multiplier (default: 3.0x) - Define your threshold Average Period (default: 20) - Adapt to any timeframe Bullish/Bearish Detection - Automatic color coding (green/red) 🎨 Visual Styles Background - Subtle colored highlighting Border - Yellow box outline Shape - Triangle markers with "HV" text All - Combined display 🔔 Smart Alerts Bullish High Volume 🟢 Bearish High Volume 🔴 Any High Volume ⚠️ 📈 Derivatives Trading Method High-volume candle highs and lows mark key breakout levels. Break above = Go Long. Break below = Go Short. Trail your stop-loss with a moving average of your choice for optimal risk management. Optimal performance on 15-minute or higher timeframes. Lower timeframes may generate excessive noise.
Pine Script® indicator
by sincereZebra4732
MNQ Morning Indicator | Clean SignalsMNQ Morning Trading Indicator Summary What It Does This is a TradingView indicator designed for day trading MNQ (Micro Nasdaq-100 futures) during morning sessions. It generates BUY and SELL signals only when multiple technical conditions align, helping traders identify high-probability trade setups. Core Strategy BUY Signal Requirements (All must be true): ✅ Price above VWAP (volume-weighted average price) ✅ Fast EMA (9) above Slow EMA (21) - uptrend confirmation ✅ Price above 15-minute 50 EMA - higher timeframe confirmation ✅ MACD histogram positive - momentum confirmation ✅ RSI above 55 - strength confirmation ✅ ADX above 25 - trending market (not choppy) ✅ Volume 1.5x above average - strong participation SELL Signal (opposite conditions) Key Features 🎯 Risk Management Stop Loss: 2× ATR (Average True Range) Take Profit 1: 2× ATR (1:2 risk-reward) Take Profit 2: 3× ATR (1:3 risk-reward) Dollar values: Calculates P&L based on MNQ's $2/point value ⏰ Session Filter Default: 9:30 AM - 11:30 AM ET (customizable) Safety feature: Avoids first 15 minutes (high volatility period) Won't generate signals outside trading hours 🛡️ Signal Quality Rates each signal: 🔥 STRONG, ⚡ MEDIUM, or ⚠️ WEAK Requires minimum 15 bars between signals (prevents overtrading) 📊 Visual Dashboard Shows real-time metrics: ATR values ADX (trend strength) RSI (momentum) Market condition (TREND/CHOP) Session status Volume status Signal cooldown timer Visual Elements 📈 VWAP with standard deviation bands (1σ, 2σ, 3σ) 📉 Multiple EMAs with trend-based coloring 🟢/🔴 Buy/Sell arrows on chart 📋 Detailed trade labels showing entry, SL, TPs, and risk-reward ratios 🎨 Background highlighting for market conditions Safety Features Cooldown period between signals Session restrictions (no trading outside set hours) First 15-minute avoidance (post-open volatility) Multi-confirmation requirement (all 7 conditions must align) Trend filter (ADX minimum to avoid choppy markets) Best For Day traders focused on morning sessions MNQ futures traders Traders who prefer systematic, rule-based entries Those wanting pre-calculated risk management levels Customization All parameters are adjustable: EMA periods MACD settings RSI thresholds ADX minimum ATR multipliers Session times Visual preferences This indicator is designed to be conservative — it waits for strong confirmation before signaling, which means fewer but potentially higher-quality trades.
Pine Script® indicator
by elivgorelick
T3 [DCAUT]█ T3 📊 INDICATOR OVERVIEW The T3 Moving Average is a smoothing indicator developed by Tim Tillson and published in Technical Analysis of Stocks & Commodities magazine (January 1998). The algorithm applies Generalized DEMA (Double Exponential Moving Average) recursively three times, creating a six-pole filtering effect that aims to balance noise reduction with responsiveness while minimizing lag relative to price changes. 📐 MATHEMATICAL FOUNDATION Generalized DEMA (GD) Function: The core building block is the Generalized DEMA function, which combines two exponential moving averages with weights controlled by the volume factor: GD(input, v) = EMA(input) × (1 + v) - EMA(EMA(input)) × v Where v is the volume factor parameter (default 0.7). This weighted combination reduces lag while maintaining smoothness by extrapolating beyond the first EMA using the double-smoothed EMA as a reference. T3 Calculation Process: T3 applies the GD function three times recursively: T3 = GD(GD(GD(Price, v), v), v) This triple nesting creates a six-pole smoothing effect (each GD applies two EMA operations, resulting in 2 × 3 = 6 total EMA calculations). The cascading refinement progressively filters noise while preserving trend information. Step-by-Step Breakdown: First GD application: GD1 = EMA(Price) × (1 + v) - EMA(EMA(Price)) × v - Creates initial smoothed series with lag reduction Second GD application: GD2 = EMA(GD1) × (1 + v) - EMA(EMA(GD1)) × v - Further refines the smoothing while maintaining responsiveness Third GD application: T3 = EMA(GD2) × (1 + v) - EMA(EMA(GD2)) × v - Final refinement produces the T3 output Volume Factor Impact: The volume factor (v) is the key parameter controlling the balance between smoothness and responsiveness. Tim Tillson recommended v = 0.7 as the optimal default value. Lower volume factors (v closer to 0.0): Increase the extrapolation effect, making T3 more responsive to price changes but potentially more sensitive to noise. Higher volume factors (v closer to 1.0): Reduce the extrapolation effect, producing smoother output with less sensitivity to short-term fluctuations but slightly more lag. The recursive application of the volume factor through three GD stages creates a nonlinear filtering effect that achieves superior lag reduction compared to traditional moving averages of equivalent smoothness. 📊 SIGNAL INTERPRETATION Trend Direction Signals: Green Line (T3 Rising): Smoothed trend line is rising, may indicate uptrend, consider bullish opportunities when confirmed by other factors Red Line (T3 Falling): Smoothed trend line is falling, may indicate downtrend, consider bearish opportunities when confirmed by other factors Gray Line (T3 Flat): Smoothed trend line is flat, indicates unclear trend or consolidation phase Price Crossover Signals: Price Crosses Above T3: Price breaks above smoothed trend line, may be bullish signal, requires confirmation from other indicators Price Crosses Below T3: Price breaks below smoothed trend line, may be bearish signal, requires confirmation from other indicators Price Position Relative to T3: Price sustained above T3 may indicate uptrend, sustained below may indicate downtrend Supporting Analysis Signals: T3 Slope Angle: Steeper slopes indicate stronger trend momentum, flatter slopes suggest weakening trends Price Deviation: Significant price separation from T3 may indicate overextension, watch for pullback or reversal Dynamic Support/Resistance: T3 line can serve as dynamic support (in uptrends) or resistance (in downtrends) reference 🎯 STRATEGIC APPLICATIONS Common Usage Patterns: The T3 Moving Average can be incorporated into trading analysis in various ways. These represent common approaches used by market participants, though effectiveness varies by market conditions and requires individual testing: Trend Filtering: T3 can be used as a trend filter by observing the relationship between price and the T3 line. The color-coded slope (green for rising, red for falling, gray for sideways) provides visual feedback about the current trend direction of the smoothed series. Price Crossover Analysis: Some traders monitor crossovers between price and the T3 line as potential indication points. When price crosses the T3 line, it may suggest a change in the relationship between current price action and the smoothed trend. Multi-Timeframe Observation: T3 can be applied to multiple timeframes simultaneously. Observing alignment or divergence between different timeframe T3 indicators may provide context about trend consistency across time scales. Dynamic Reference Level: The T3 line can serve as a dynamic reference level for price action analysis. Price distance from T3, price reactions when approaching T3, and the behavior of price relative to the T3 line can all be incorporated into market analysis frameworks. Application Considerations: Any trading application should be thoroughly tested on historical data before implementation T3 performance characteristics vary across different market conditions and asset types The indicator provides smoothed trend information but does not predict future price movements Combining T3 with other analytical tools and market context improves analysis quality Risk management practices remain essential regardless of the analytical approach used 📋 DETAILED PARAMETER CONFIGURATION Source Selection: Close Price (Default): Standard choice for end-of-period trend analysis, reduces intrabar noise HL2 (High+Low)/2: Provides balanced view of price action, considers full bar range HLC3 or OHLC4: Incorporates more price information, may provide smoother results Selection Impact: Different sources affect signal timing and smoothness characteristics Length Configuration: Shorter periods: More responsive, faster reaction, frequent signals, but higher false signal risk in choppy markets Longer periods: Smoother output, fewer signals, better for long-term trends, but slower response Default 14 periods is a common baseline, but optimal length varies by asset, timeframe, and market conditions Parameter selection should be determined through backtesting rather than general recommendations Volume Factor Configuration: Lower values (closer to 0.0): Increase responsiveness but also noise sensitivity Higher values (closer to 1.0): Increase smoothness but slightly more lag Default 0.7 (Tim Tillson's recommendation) provides good balance for most applications Optimal value depends on signal frequency versus reliability preference, test for specific use case Parameter Optimization Approach: There are no universal "best" parameter values - optimal settings depend on the specific asset, timeframe, market regime, and trading strategy Start with default values (Length: 14, Volume Factor: 0.7) and adjust based on observed performance in your target market Conduct systematic backtesting across different market conditions to evaluate parameter sensitivity Consider that parameters optimized for historical data may not perform identically in future market conditions Monitor performance and be prepared to adjust parameters as market characteristics evolve 📈 DESIGN FEATURES & MARKET ADAPTATION Algorithm Design Features: Simple Moving Average (SMA): Equal weighting across lookback period Exponential Moving Average (EMA): Exponentially decreasing weights on historical prices T3 Moving Average: Recursive Generalized DEMA with adjustable volume factor Market Condition Adaptation: Trending markets: Smoothed indicators generally align more closely with sustained directional movement Ranging markets: All moving averages may generate more crossover signals during non-trending periods Volatile conditions: Higher smoothing parameters reduce short-term sensitivity but increase lag Indicator behavior relative to market conditions should be evaluated for specific applications USAGE NOTES This indicator is designed for technical analysis and educational purposes. The T3 Moving Average has limitations and should not be used as the sole basis for trading decisions. Like all trend-following indicators, its performance varies with market conditions, and past signal characteristics do not guarantee future results. Key Points: T3 is a lagging indicator that responds to price changes rather than predicting future movements Signals should be confirmed with other technical tools and market context Parameters should be optimized for specific market and timeframe Risk management and position sizing are essential Market regime changes can affect indicator effectiveness Test strategies thoroughly on historical data before live implementation Consider broader market context and fundamental factors
Pine Script® indicator
by DCAUT
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary📊 OverviewA professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.🎯 Key FeaturesCore Signal System 7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume Signal Grading: Each signal is rated A+ through D based on 7 quality factors Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D) Advanced Safety Filters (Customizable) Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands ATR Spike Filter - Avoids trading during extreme volatility events EMA Spacing Filter - Ensures proper trend separation (optional) Momentum Filter - Requires consecutive directional bars (optional) Multi-Timeframe Confirmation - Aligns with 15-min trend (optional) TopStep Risk Management Real-time drawdown tracking Position sizing calculator based on remaining cushion Daily loss limit monitoring Consecutive loss protection Max trades per day limiter Visual Components VWAP with 1σ, 2σ, 3σ bands EMA 9/21 with cloud fill 15-min EMA 50 for HTF trend Comprehensive metrics dashboard Risk management panel Filter status panel Detailed trade labels with entry, stops, and targets ⚙️ Default Settings (Balanced for Regular Signals)Technical Indicators Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min) MACD: 10/22/9 RSI: 14 period | Thresholds: 52 (buy) / 48 (sell) ADX: 14 period | Minimum: 20 ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x Volume: 1.2x average required Session Settings Default: 9:30 AM - 11:30 AM ET (adjustable) Avoids first 15 minutes after market open Customizable trading hours Safety Filters (Default Configuration) ✅ Mean Reversion: Enabled (2.5σ max from VWAP) ✅ ATR Spike: Enabled (2.0x threshold) ❌ EMA Spacing: Disabled (can enable for quality) ❌ Momentum: Disabled (can enable for quality) ❌ MTF Confirmation: Disabled (can enable for quality) Risk Controls Minimum Signal Quality: C (adjustable to A+ for fewer/better signals) Min Bars Between Signals: 10 Max Trades Per Day: 5 Stop After Consecutive Losses: 2 📈 Expected PerformanceWith Default Settings: Signals per week: 10-15 trades Estimated win rate: 55-60% Risk-Reward: 1:2 (TP1) and 1:3 (TP2) With Aggressive Settings (Min Quality = D, All Filters Off): Signals per week: 20-25 trades Estimated win rate: 50-55% With Conservative Settings (Min Quality = A, All Filters On): Signals per week: 3-5 trades Estimated win rate: 65-70% 🚀 How to UseBasic Setup: Add indicator to MNQ 5-minute chart Adjust TopStep account settings in inputs Set your risk per trade percentage (default: 0.5%) Configure trading session hours Set minimum signal quality (Start with C for balanced results) Signal Interpretation: Green Triangle (BUY): Long signal - all confirmations aligned Red Triangle (SELL): Short signal - all confirmations aligned Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3) Dashboard Monitoring: Top Right: Technical metrics and market conditions Top Left: Filter status (which filters are passing/blocking) Bottom Right: TopStep risk metrics and position sizing ⚡ Customization TipsFor More Signals: Lower "Minimum Signal Quality" to D Decrease ADX threshold to 18-20 Lower RSI thresholds to 50/50 Reduce Volume multiplier to 1.1x Disable additional filters For Higher Quality (Fewer Signals): Raise "Minimum Signal Quality" to A or A+ Increase ADX threshold to 25-30 Enable all 5 advanced filters Tighten VWAP distance to 2.0σ Increase momentum requirement to 3-4 bars For TopStep Compliance: Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account Update "Already Used Drawdown" daily Monitor the Risk Panel for cushion remaining Use recommended contract sizing 🛡️ Risk DisclaimerIMPORTANT: This indicator is for educational and informational purposes only. Past performance does not guarantee future results All trading involves substantial risk of loss Use proper risk management and position sizing Test thoroughly in paper trading before live use The indicator does not guarantee profitable trades Adjust settings based on your risk tolerance and trading style Always comply with your broker's and TopStep's rules
Pine Script® indicator
by elivgorelick
HTF Candle Overlay - PO3HTF Candle Overlay Script Description This Pine Script indicator creates a visual overlay of higher timeframe (HTF) candles on your chart. It's a useful tool for multi-timeframe analysis that allows you to see higher timeframe price action context directly on your current chart without having to switch between timeframes. Main Purpose The primary purpose of this indicator is to display candles from a higher timeframe (like daily or weekly) directly on your lower timeframe chart (like 5-minute or hourly). This provides crucial context about the larger market structure while you're analyzing shorter-term price movements. Key Features Higher Timeframe Selection: You can choose any higher timeframe from the available options (1-minute to monthly), allowing you to view price action from any timeframe higher than your current chart. Customizable Appearance: Control the number of HTF candles displayed (1-10) Adjust the spacing between the candles and current price Modify candle width for better visibility Customize colors for bullish and bearish candles, wicks, and borders Real-time Updates: The current (ongoing) HTF candle updates in real-time as new price data comes in, showing you how the higher timeframe candle is developing. Time Remaining Display: An optional label shows the current HTF period and how much time remains until the candle closes, helping you time your entries and exits. Visual Warnings: The script warns you if you select a timeframe that matches your current chart timeframe. How It Works Data Retrieval: The script fetches both the current developing candle and historical candles from the selected higher timeframe using request.security() calls. Candle Processing: It stores candle data (open, high, low, close, and time) in arrays Handles both the current developing candle and past completed candles Updates the current candle in real-time as new price data comes in Visual Rendering: Draws candle bodies as boxes with appropriate bullish/bearish colors Creates wicks as lines extending from the candle bodies Places candles horizontally on your chart with proper spacing Timing Information: Calculates and displays the remaining time until the current higher timeframe candle closes Formats the time remaining in a user-friendly way (days, hours, minutes) Practical Applications Context for Trading Decisions: See where price is in relation to higher timeframe support/resistance levels. Entry and Exit Timing: Time your entries and exits based on higher timeframe candle closings. Trend Alignment: Ensure your trades align with the higher timeframe trend direction. Support/Resistance Identification: Easily identify key price levels from higher timeframes. Candle Pattern Recognition: Spot important higher timeframe candlestick patterns without switching timeframes. This indicator essentially brings the higher timeframe context directly to your current chart, allowing for more informed trading decisions that consider both short-term and long-term market structures simultaneously.
Pine Script® indicator
by DrodzCip
Larry Williams Bonus Track PatternThis strategy trades the day immediately following an Inside Day, under specific directional and timing conditions. It is designed for daily-based setups but executed on intraday charts to ensure orders are placed exactly at the open of the following day, rather than at the daily bar close. Entry Conditions Only trades on Monday, Thursday, or Friday. The previous day must be an Inside Day (its high is lower than the prior high and its low is higher than the prior low). The bar before the Inside Day must be bullish (close > open). On the following day (t): The daily open must be below both the Inside Day’s high and the highest high of the two days before that. A buy stop is placed at the highest high of the three previous days (Inside Day and the two days before it). If the new day’s open is already above that level (gap up), the strategy enters long immediately at the open. Exit Rules Stop Loss: Fixed, defined in points or percentage (user input). FPO (First Profitable Open): the position is closed at the first daily open after the entry day where the open price is above the average entry price (the first profitable open). Notes The script must be applied on an intraday timeframe (e.g., 15-minute or 1-hour) so that the strategy can: Detect the Inside Day pattern using daily data (request.security). Execute orders in real time at the next day’s open. Running it directly on the daily timeframe will delay executions by one bar due to Pine Script’s evaluation model.
Pine Script® strategy
by xtradernet
Multiple Smoothed Moving AveragesMultiple Smoothed Moving Averages (SMMAs) This indicator displays up to 5 Smoothed Moving Averages (SMMAs) on your chart, providing a comprehensive view of multiple trend timeframes simultaneously. ═══════════════════════════════════════ WHAT IS A SMOOTHED MOVING AVERAGE? ═══════════════════════════════════════ The Smoothed Moving Average (SMMA), also known as the Running Moving Average (RMA), is a type of moving average that provides more smoothing than a Simple Moving Average (SMA). Unlike SMA which gives equal weight to all values in the period, SMMA uses a recursive formula that gives more weight to previous SMMA values, resulting in: - Smoother price action with less noise - Slower response to recent price changes - Better identification of longer-term trends - Reduced false signals in choppy markets CALCULATION METHOD: - First value: Simple Moving Average of the initial period - Subsequent values: (Previous SMMA × (Length - 1) + Current Price) / Length This recursive nature makes SMMA particularly effective for identifying sustained trends while filtering out short-term volatility. ═══════════════════════════════════════ FEATURES ═══════════════════════════════════════ ✓ 5 Independent SMMAs: Each with its own configurable period length ✓ Individual Toggles: Show/hide each SMMA independently ✓ Distinct Colors: Easy visual identification of each moving average ✓ Customizable Lengths: Adjust each period to match your trading strategy ✓ Shared Source: All SMMAs calculate from the same price source (default: close) ✓ Overlay Display: Plots directly on the price chart ═══════════════════════════════════════ DEFAULT SETTINGS ═══════════════════════════════════════ - SMMA 1: 30 periods (Blue) - SMMA 2: 50 periods (Orange) - SMMA 3: 100 periods (Green) - SMMA 4: 200 periods (Purple) - SMMA 5: 300 periods (Red) All SMMAs are enabled by default. ═══════════════════════════════════════ HOW TO USE ═══════════════════════════════════════ TREND IDENTIFICATION: - Price above all SMMAs = Strong uptrend - Price below all SMMAs = Strong downtrend - Price between SMMAs = Transitional phase or consolidation SUPPORT & RESISTANCE: - SMMAs often act as dynamic support in uptrends - SMMAs often act as dynamic resistance in downtrends - Longer-period SMMAs (200, 300) provide stronger S/R levels CROSSOVER SIGNALS: - Faster SMMA crossing above slower SMMA = Bullish signal - Faster SMMA crossing below slower SMMA = Bearish signal MULTIPLE TIMEFRAME ANALYSIS: - Short-term trends: 30, 50 periods - Medium-term trends: 100 periods - Long-term trends: 200, 300 periods ═══════════════════════════════════════ CUSTOMIZATION ═══════════════════════════════════════ INPUTS TAB: - Adjust each SMMA length to suit your trading timeframe - Toggle individual SMMAs on/off using checkboxes - Change the source (close, open, high, low, hl2, hlc3, ohlc4) STYLE TAB: - Modify line colors for each SMMA - Adjust line thickness and style - Change transparency levels ═══════════════════════════════════════ NOTES ═══════════════════════════════════════ - This indicator uses the mathematically correct SMMA calculation with the recursive formula - All calculations are performed on every bar to ensure data consistency - SMMAs respond more slowly than EMAs but faster than WMAs to price changes - Best used in combination with other technical analysis tools - Use on any timeframe ═══════════════════════════════════════ Perfect for traders who want a clear, multi-timeframe view of market trends using the smooth, reliable SMMA calculation method.
Pine Script® indicator
by rdjxyz
Dynamic 21 SMA Zone S/R (Weekly and 2-Day)This custom indicator creates a dynamic support and resistance zone based on the 21-period Simple Moving Average (SMA) from the weekly timeframe and the 21-period SMA from the 2-day timeframe. The zone is visible and functional across all chart timeframes, adapting seamlessly to provide multi-timeframe insights. Color Logic: Green: When the current price is fully above the upper boundary of the zone, indicating potential bullish strength or a support level. Gray: When the price is fully below the lower boundary, signaling potential bearish pressure or a resistance level. Light Blue: When the price is within the zone (between the two SMAs), representing a neutral "no man's land" where the market is indecisive. As the two SMAs converge or diverge, the zone naturally thins or widens, visually reflecting changes in market momentum—such as a thinning green zone during a potential reversal. Ideal for higher-timeframe swing trading to identify key levels, this indicator is also useful on lower timeframes for gauging the relative position of these SMAs, helping traders align short-term moves with broader trends.
Pine Script® indicator
by ThomasPg
Adaptive Trend CatcherAdaptive Trend Catcher is an original indicator that combines Hull Moving Average smoothing, ATR-based volatility bands, and a CCI filter within an adaptive logic framework. It’s built to react intelligently to changing market conditions rather than applying fixed parameters. The system uses hysteresis to confirm trend flips only after several consistent signals, minimizing noise and false reversals. During strong momentum bursts, it automatically tightens its internal deadzone and step size to stay responsive while maintaining stability in quieter periods. The result is a dynamic trend engine that plots a color-shifting adaptive line — green for bullish, red for bearish — that adjusts smoothly with volatility. Optional upper/lower ATR bands can be displayed for added context. How to use: Watch for confirmed trend color flips with supporting momentum. Bullish flips occur when price regains the lower band and CCI turns positive; bearish flips when price falls below the upper band and CCI turns negative. Includes alert conditions for both reversals. For educational purposes only. Not financial advice.
Pine Script® indicator
by Kerbox
Stochastic Enhanced [DCAUT]█ Stochastic Enhanced 📊 ORIGINALITY & INNOVATION The Stochastic Enhanced indicator builds upon George Lane's classic momentum oscillator (developed in the late 1950s) by providing comprehensive smoothing algorithm flexibility. While traditional implementations limit users to Simple Moving Average (SMA) smoothing, this enhanced version offers 21 advanced smoothing algorithms, allowing traders to optimize the indicator's characteristics for different market conditions and trading styles. Key Improvements: Extended from single SMA smoothing to 21 professional-grade algorithms including adaptive filters (KAMA, FRAMA), zero-lag methods (ZLEMA, T3), and advanced digital filters (Kalman, Laguerre) Maintains backward compatibility with traditional Stochastic calculations through SMA default setting Unified smoothing algorithm applies to both %K and %D lines for consistent signal processing characteristics Enhanced visual feedback with clear color distinction and background fill highlighting for intuitive signal recognition Comprehensive alert system covering crossovers and zone entries for systematic trade management Differentiation from Traditional Stochastic: Traditional Stochastic indicators use fixed SMA smoothing, which introduces consistent lag regardless of market volatility. This enhanced version addresses the limitation by offering adaptive algorithms that adjust to market conditions (KAMA, FRAMA), reduce lag without sacrificing smoothness (ZLEMA, T3, HMA), or provide superior noise filtering (Kalman Filter, Laguerre filters). The flexibility helps traders balance responsiveness and stability according to their specific needs. 📐 MATHEMATICAL FOUNDATION Core Stochastic Calculation: The Stochastic Oscillator measures the position of the current close relative to the high-low range over a specified period: Step 1: Raw %K Calculation %K_raw = 100 × (Close - Lowest Low) / (Highest High - Lowest Low) Where: Close = Current closing price Lowest Low = Lowest low over the %K Length period Highest High = Highest high over the %K Length period Result ranges from 0 (close at period low) to 100 (close at period high) Step 2: Smoothed %K Calculation %K = MA(%K_raw, K Smoothing Period, MA Type) Where: MA = Selected moving average algorithm (SMA, EMA, etc.) K Smoothing = 1 for Fast Stochastic, 3+ for Slow Stochastic Traditional Fast Stochastic uses %K_raw directly without smoothing Step 3: Signal Line %D Calculation %D = MA(%K, D Smoothing Period, MA Type) Where: %D acts as a signal line and moving average of %K D Smoothing typically set to 3 periods in traditional implementations Both %K and %D use the same MA algorithm for consistent behavior Available Smoothing Algorithms (21 Options): Standard Moving Averages: SMA (Simple): Equal-weighted average, traditional default, consistent lag characteristics EMA (Exponential): Recent price emphasis, faster response to changes, exponential decay weighting RMA (Rolling/Wilder's): Smoothed average used in RSI, less reactive than EMA WMA (Weighted): Linear weighting favoring recent data, moderate responsiveness VWMA (Volume-Weighted): Incorporates volume data, reflects market participation intensity Advanced Moving Averages: HMA (Hull): Reduced lag with smoothness, uses weighted moving averages and square root period ALMA (Arnaud Legoux): Gaussian distribution weighting, minimal lag with good noise reduction LSMA (Least Squares): Linear regression based, fits trend line to data points DEMA (Double Exponential): Reduced lag compared to EMA, uses double smoothing technique TEMA (Triple Exponential): Further lag reduction, triple smoothing with lag compensation ZLEMA (Zero-Lag Exponential): Lag elimination attempt using error correction, very responsive TMA (Triangular): Double-smoothed SMA, very smooth but slower response Adaptive & Intelligent Filters: T3 (Tilson T3): Six-pass exponential smoothing with volume factor adjustment, excellent smoothness FRAMA (Fractal Adaptive): Adapts to market fractal dimension, faster in trends, slower in ranges KAMA (Kaufman Adaptive): Efficiency ratio based adaptation, responds to volatility changes McGinley Dynamic: Self-adjusting mechanism following price more accurately, reduced whipsaws Kalman Filter: Optimal estimation algorithm from aerospace engineering, dynamic noise filtering Advanced Digital Filters: Ultimate Smoother: Advanced digital filter design, superior noise rejection with minimal lag Laguerre Filter: Time-domain filter with N-order implementation, adjustable lag characteristics Laguerre Binomial Filter: 6-pole Laguerre filter, extremely smooth output for long-term analysis Super Smoother: Butterworth filter implementation, removes high-frequency noise effectively 📊 COMPREHENSIVE SIGNAL ANALYSIS Absolute Level Interpretation (%K Line): %K Above 80: Overbought condition, price near period high, potential reversal or pullback zone, caution for new long entries %K in 70-80 Range: Strong upward momentum, bullish trend confirmation, uptrend likely continuing %K in 50-70 Range: Moderate bullish momentum, neutral to positive outlook, consolidation or mild uptrend %K in 30-50 Range: Moderate bearish momentum, neutral to negative outlook, consolidation or mild downtrend %K in 20-30 Range: Strong downward momentum, bearish trend confirmation, downtrend likely continuing %K Below 20: Oversold condition, price near period low, potential bounce or reversal zone, caution for new short entries Crossover Signal Analysis: %K Crosses Above %D (Bullish Cross): Momentum shifting bullish, faster line overtakes slower signal, consider long entry especially in oversold zone, strongest when occurring below 20 level %K Crosses Below %D (Bearish Cross): Momentum shifting bearish, faster line falls below slower signal, consider short entry especially in overbought zone, strongest when occurring above 80 level Crossover in Midrange (40-60): Less reliable signals, often in choppy sideways markets, require additional confirmation from trend or volume analysis Multiple Failed Crosses: Indicates ranging market or choppy conditions, reduce position sizes or avoid trading until clear directional move Advanced Divergence Patterns (%K Line vs Price): Bullish Divergence: Price makes lower low while %K makes higher low, indicates weakening bearish momentum, potential trend reversal upward, more reliable when %K in oversold zone Bearish Divergence: Price makes higher high while %K makes lower high, indicates weakening bullish momentum, potential trend reversal downward, more reliable when %K in overbought zone Hidden Bullish Divergence: Price makes higher low while %K makes lower low, indicates trend continuation in uptrend, bullish trend strength confirmation Hidden Bearish Divergence: Price makes lower high while %K makes higher high, indicates trend continuation in downtrend, bearish trend strength confirmation Momentum Strength Analysis (%K Line Slope): Steep %K Slope: Rapid momentum change, strong directional conviction, potential for extended moves but also increased reversal risk Gradual %K Slope: Steady momentum development, sustainable trends more likely, lower probability of sharp reversals Flat or Horizontal %K: Momentum stalling, potential reversal or consolidation ahead, wait for directional break before committing %K Oscillation Within Range: Indicates ranging market, sideways price action, better suited for range-trading strategies than trend following 🎯 STRATEGIC APPLICATIONS Mean Reversion Strategy (Range-Bound Markets): Identify ranging market conditions using price action or Bollinger Bands Wait for Stochastic to reach extreme zones (above 80 for overbought, below 20 for oversold) Enter counter-trend position when %K crosses %D in extreme zone (sell on bearish cross above 80, buy on bullish cross below 20) Set profit targets near opposite extreme or midline (50 level) Use tight stop-loss above recent swing high/low to protect against breakout scenarios Exit when Stochastic reaches opposite extreme or %K crosses %D in opposite direction Trend Following with Momentum Confirmation: Identify primary trend direction using higher timeframe analysis or moving averages Wait for Stochastic pullback to oversold zone (<20) in uptrend or overbought zone (>80) in downtrend Enter in trend direction when %K crosses %D confirming momentum shift (bullish cross in uptrend, bearish cross in downtrend) Use wider stops to accommodate normal trend volatility Add to position on subsequent pullbacks showing similar Stochastic pattern Exit when Stochastic shows opposite extreme with failed cross or bearish/bullish divergence Divergence-Based Reversal Strategy: Scan for divergence between price and Stochastic at swing highs/lows Confirm divergence with at least two price pivots showing divergent Stochastic readings Wait for %K to cross %D in direction of anticipated reversal as entry trigger Enter position in divergence direction with stop beyond recent swing extreme Target profit at key support/resistance levels or Fibonacci retracements Scale out as Stochastic reaches opposite extreme zone Multi-Timeframe Momentum Alignment: Analyze Stochastic on higher timeframe (4H or Daily) for primary trend bias Switch to lower timeframe (1H or 15M) for precise entry timing Only take trades where lower timeframe Stochastic signal aligns with higher timeframe momentum direction Higher timeframe Stochastic in bullish zone (>50) = only take long entries on lower timeframe Higher timeframe Stochastic in bearish zone (<50) = only take short entries on lower timeframe Exit when lower timeframe shows counter-signal or higher timeframe momentum reverses Zone Transition Strategy: Monitor Stochastic for transitions between zones (oversold to neutral, neutral to overbought, etc.) Enter long when Stochastic crosses above 20 (exiting oversold), signaling momentum shift from bearish to neutral/bullish Enter short when Stochastic crosses below 80 (exiting overbought), signaling momentum shift from bullish to neutral/bearish Use zone midpoint (50) as dynamic support/resistance for position management Trail stops as Stochastic advances through favorable zones Exit when Stochastic fails to maintain momentum and reverses back into prior zone 📋 DETAILED PARAMETER CONFIGURATION %K Length (Default: 14): Lower Values (5-9): Highly sensitive to price changes, generates more frequent signals, increased false signals in choppy markets, suitable for very short-term trading and scalping Standard Values (10-14): Balanced sensitivity and reliability, traditional default (14) widely used,适合 swing trading and intraday strategies Higher Values (15-21): Reduced sensitivity, smoother oscillations, fewer but potentially more reliable signals, better for position trading and lower timeframe noise reduction Very High Values (21+): Slow response, long-term momentum measurement, fewer trading signals, suitable for weekly or monthly analysis %K Smoothing (Default: 3): Value 1: Fast Stochastic, uses raw %K calculation without additional smoothing, most responsive to price changes, generates earliest signals with higher noise Value 3: Slow Stochastic (default), traditional smoothing level, reduces false signals while maintaining good responsiveness, widely accepted standard Values 5-7: Very slow response, extremely smooth oscillations, significantly reduced whipsaws but delayed entry/exit timing Recommendation: Default value 3 suits most trading scenarios, active short-term traders may use 1, conservative long-term positions use 5+ %D Smoothing (Default: 3): Lower Values (1-2): Signal line closely follows %K, frequent crossover signals, useful for active trading but requires strict filtering Standard Value (3): Traditional setting providing balanced signal line behavior, optimal for most trading applications Higher Values (4-7): Smoother signal line, fewer crossover signals, reduced whipsaws but slower confirmation, better for trend trading Very High Values (8+): Signal line becomes slow-moving reference, crossovers rare and highly significant, suitable for long-term position changes only Smoothing Type Algorithm Selection: For Trending Markets: ZLEMA, DEMA, TEMA: Reduced lag for faster trend entry, quick response to momentum shifts, suitable for strong directional moves HMA, ALMA: Good balance of smoothness and responsiveness, effective for clean trend following without excessive noise EMA: Classic choice for trending markets, faster than SMA while maintaining reasonable stability For Ranging/Choppy Markets: Kalman Filter, Super Smoother: Superior noise filtering, reduces false signals in sideways action, helps identify genuine reversal points Laguerre Filters: Smooth oscillations with adjustable lag, excellent for mean reversion strategies in ranges T3, TMA: Very smooth output, filters out market noise effectively, clearer extreme zone identification For Adaptive Market Conditions: KAMA: Automatically adjusts to market efficiency, fast in trends and slow in congestion, reduces whipsaws during transitions FRAMA: Adapts to fractal market structure, responsive during directional moves, conservative during uncertainty McGinley Dynamic: Self-adjusting smoothing, follows price naturally, minimizes lag in trending markets while filtering noise in ranges For Conservative Long-Term Analysis: SMA: Traditional choice, predictable behavior, widely understood characteristics RMA (Wilder's): Smooth oscillations, reduced sensitivity to outliers, consistent behavior across market conditions Laguerre Binomial Filter: Extremely smooth output, ideal for weekly/monthly timeframe analysis, eliminates short-term noise completely Source Selection: Close (Default): Standard choice using closing prices, most common and widely tested HLC3 or OHLC4: Incorporates more price information, reduces impact of sudden spikes or gaps, smoother oscillator behavior HL2: Midpoint of high-low range, emphasizes intrabar volatility, useful for markets with wide intraday ranges Custom Source: Can use other indicators as input (e.g., Heikin Ashi close, smoothed price), creates derivative momentum indicators 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: Traditional SMA-Based Stochastic: Fixed lag regardless of market conditions, consistent delay of approximately (K Smoothing + D Smoothing) / 2 periods Equal treatment of trending and ranging markets, no adaptation to volatility changes Predictable behavior but suboptimal in varying market regimes Enhanced Version with Adaptive Algorithms: KAMA and FRAMA reduce lag by up to 40-60% in strong trends compared to SMA while maintaining similar smoothness in ranges ZLEMA and T3 provide near-zero lag characteristics for early entry signals with acceptable noise levels Kalman Filter and Super Smoother offer superior noise rejection, reducing false signals in choppy conditions by estimations of 30-50% compared to SMA Performance improvements vary by algorithm selection and market conditions Signal Quality Improvements: Adaptive algorithms help reduce whipsaw trades in ranging markets by adjusting sensitivity dynamically Advanced filters (Kalman, Laguerre, Super Smoother) provide clearer extreme zone readings for mean reversion strategies Zero-lag methods (ZLEMA, DEMA, TEMA) generate earlier crossover signals in trending markets for improved entry timing Smoother algorithms (T3, Laguerre Binomial) reduce false extreme zone touches for more reliable overbought/oversold signals Comparison with Standard Implementations: Versus Basic Stochastic: Enhanced version offers 21 smoothing options versus single SMA, allowing optimization for specific market characteristics and trading styles Versus RSI: Stochastic provides range-bound measurement (0-100) with clear extreme zones, RSI measures momentum speed, Stochastic offers clearer visual overbought/oversold identification Versus MACD: Stochastic bounded oscillator suitable for mean reversion, MACD unbounded indicator better for trend strength, Stochastic excels in range-bound and oscillating markets Versus CCI: Stochastic has fixed bounds (0-100) for consistent interpretation, CCI unbounded with variable extremes, Stochastic provides more standardized extreme readings across different instruments Flexibility Advantages: Single indicator adaptable to multiple strategies through algorithm selection rather than requiring different indicator variants Ability to optimize smoothing characteristics for specific instruments (e.g., smoother for crypto volatility, faster for forex trends) Multi-timeframe analysis with consistent algorithm across timeframes for coherent momentum picture Backtesting capability with algorithm as optimization parameter for strategy development Limitations and Considerations: Increased complexity from multiple algorithm choices may lead to over-optimization if parameters are curve-fitted to historical data Adaptive algorithms (KAMA, FRAMA) have adjustment periods during market regime changes where signals may be less reliable Zero-lag algorithms sacrifice some smoothness for responsiveness, potentially increasing noise sensitivity in very choppy conditions Performance characteristics vary significantly across algorithms, requiring understanding and testing before live implementation Like all oscillators, Stochastic can remain in extreme zones for extended periods during strong trends, generating premature reversal signals USAGE NOTES This indicator is designed for technical analysis and educational purposes to provide traders with enhanced flexibility in momentum analysis. The Stochastic Oscillator has limitations and should not be used as the sole basis for trading decisions. Important Considerations: Algorithm performance varies with market conditions - no single smoothing method is optimal for all scenarios Extreme zone signals (overbought/oversold) indicate potential reversal areas but not guaranteed turning points, especially in strong trends Crossover signals may generate false entries during sideways choppy markets regardless of smoothing algorithm Divergence patterns require confirmation from price action or additional indicators before trading Past indicator characteristics and backtested results do not guarantee future performance Always combine Stochastic analysis with proper risk management, position sizing, and multi-indicator confirmation Test selected algorithm on historical data of specific instrument and timeframe before live trading Market regime changes may require algorithm adjustment for optimal performance The enhanced smoothing options are intended to provide tools for optimizing the indicator's behavior to match individual trading styles and market characteristics, not to create a perfect predictive tool. Responsible usage includes understanding the mathematical properties of selected algorithms and their appropriate application contexts.
Pine Script® indicator
by DCAUT
Marin Andrei - EMA 20-30 Price Alerts • Regime + Session Filter A clean and reliable trend-following alert system based on the 20 EMA and 30 EMA crossover zone, enhanced with multiple smart filters to eliminate noise and false signals. - configurable. Core features: ✅ Trend confirmation: Buy only when price is above both EMAs; sell only when below. 📈 Slope & momentum filters: Optional slope and ATR-based spread validation. 🕒 Regime filter: Trade only in the direction of the higher-timeframe EMA trend (e.g., 200 EMA). ⏰ Session control: Limit signals to your preferred trading hours. 🔔 Built-in alerts: Instant notifications for clean buy/sell conditions. Perfect for traders who want EMA-based precision entries with smarter filters for volatility, session timing, and overall market regime.
Pine Script® indicator
by RG1200
NYSE FOMO Indicator (Up/Down Volume Ratio)This script plots the NYSE Sentiment Gauge, based on the daily Up/Down Volume Ratio (UVOL ÷ DVOL). It measures crowd emotion in the overall market: • ≥ 3 = Red: FOMO, extreme buying. • 2–3 = Yellow: Cautious optimism. • 0.5–2 = Grey: Neutral zone. • 0.33–0.5 = Green: Emerging fear. • ≤ 0.33 = Bright Green: Panic selling, potential bottom. The line color and chart background change according to these zones, visually showing shifts in market sentiment.
Pine Script® indicator
by senglee_tan
FOREXSOM Session Boxes (Local Time) — Asian, London & New YorkFOREXSOM Session Boxes (Local Time) highlights the three major Forex sessions — Asian, London, and New York — using your chart’s local timezone automatically. This indicator helps traders visualize market structure, liquidity zones, and timing across global trading hours with accuracy and clarity. Key Features Automatically adjusts to your chart’s local timezone Highlights Asian, London, and New York sessions with clean color zones Works on all timeframes and asset classes Ideal for Smart Money Concepts (SMC), ICT, and price action strategies Helps identify range breakouts, session highs/lows, and liquidity grabs How It Works Each session box updates in real time to show the current range as the market develops. The boxes reset at the end of each session, making it easy to compare volatility and liquidity shifts between regions. Sessions (default times): Asian: 17:00 – 03:00 London: 02:00 – 11:00 New York: 07:00 – 16:00 How to Use Add the indicator to your chart. Ensure your chart timezone matches your local time in chart settings. Watch session ranges form and look for liquidity sweeps or breakouts between overlaps (London/New York). Created by FOREXSOM Empowering traders worldwide with precision-built tools for Smart Money and institutional trading education.
Pine Script® indicator
by FOREXSOM
- Standardized Money Flow Index with Multi-MA and BB OverlayThis custom Money Flow Index (MFI) script enhances the standard MFI by introducing multiple layers of configurability, statistical normalization, and visual clarity. It begins with the traditional MFI calculation using the average price, hlc3, and a user-defined length, then offers the option to standardize the output. Standardization transforms the MFI into a z-score by subtracting a rolling mean and dividing by a rolling standard deviation, making the indicator statistically interpretable across different assets, timeframes, and volatility regimes. When standardization is active, the overbought and oversold thresholds shift from the conventional 80 and 20 to +2 and –2, aligning them with standard deviation boundaries and improving signal clarity in volatile environments. Beyond standardization, the script introduces a robust smoothing engine. Users can choose from several moving average types, including SMA, EMA, SMMA (RMA), WMA, and VWMA, to reduce noise and highlight trend shifts. A particularly advanced option is the “SMA + Bollinger Bands” mode, which overlays volatility envelopes around the smoothed MFI using a user-defined standard deviation multiplier. This feature helps traders identify when the MFI is unusually high or low relative to its recent behaviour, adding a volatility-adjusted layer of insight, especially useful in momentum or mean-reversion setups. Visually, the script is designed for clarity, modularity, and flexibility. It plots the raw or standardized MFI in purple, overlays the smoothed version in yellow if enabled, and adds green Bollinger Bands when selected. It also includes horizontal reference lines for overbought, oversold, and midpoint levels, which dynamically adjust based on whether standardization is active. A shaded background between the overbought and oversold lines further enhances readability, helping traders quickly assess momentum extremes and potential inflection zones. Compared to the standard MFI, which offers a fixed calculation, limited visual feedback, and no statistical context, this enhanced version is modular, customizable, and statistically grounded. It allows traders to tailor the indicator to their strategy, whether they prefer raw signals, smoothed trends, or volatility-adjusted extremes. These enhancements make it a powerful building block for more sophisticated signal engines, especially when combined with filter gating, persistent state logic, or multi-indicator overlays.
Pine Script® indicator
by chriskokal1