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Day trade futures - ES VWAP Pullback v2.0 [Signals]ES VWAP Institutional Pullback v2.0 —— STRATEGY VERSION —— A futures day-trading system built specifically for /ES (S&P 500 E-mini) on the 5-minute timeframe. Designed around the premise that institutional algorithms benchmark entries against VWAP and that the highest-probability trades come from entering trend continuations after pullbacks — not from predicting reversals. This is not a typical MACD crossover strategy. Every component is filtered and confirmed before a signal fires. █ HOW IT WORKS The system requires four conditions to align before entering a trade: 1. Higher-Timeframe Trend Confirmation Uses a 50 EMA pulled from the 15-minute chart via request.security(). Price must be above this EMA for longs, below for shorts. This replaces the common approach of plotting a 200 EMA on the entry timeframe, which on a 5-minute chart represents ~17 hours of data and reacts too slowly to intraday regime changes. 2. VWAP Institutional Bias Price must be above the session VWAP for longs, below for shorts. VWAP is the benchmark institutional algorithms use to evaluate execution quality. Trading in the direction of VWAP bias aligns your entries with the dominant order flow. 3. MACD Histogram Reversal (Not Raw Crossover) Rather than entering on a standard MACD line crossover (which lags significantly on short timeframes), the system detects when the MACD histogram flips from negative to positive territory after being negative for at least two consecutive bars. This catches the exact moment selling pressure exhausts and buying momentum resumes — typically 1–3 bars earlier than a traditional crossover. 4. Volume Spike Confirmation The entry bar must have volume ≥ 1.2× its 20-bar simple moving average. A MACD histogram flip on thin volume is noise. Requiring a volume spike confirms that institutional participation is actually present at the reversal point. █ SESSION FILTER Futures trade nearly 24 hours, but VWAP-based strategies degrade outside Regular Trading Hours when volume thins and price action becomes erratic. The system enforces a hard session window of 9:30 AM – 3:30 PM Eastern by default. All positions are automatically closed at session end if the EOD close option is enabled. █ RISK MANAGEMENT Dynamic ATR-Based Stops Stop loss is calculated as 1.5× the 14-period ATR at the moment of entry. During volatile opens, your stop widens to give the trade room. During quiet midday action, it tightens to protect capital. This replaces fixed-point stops that get hunted during volatility expansion. Partial Profit at 1R When price reaches 1× your initial risk (the 1R level), 50% of the position is closed automatically. This locks in profit and reduces psychological pressure on the remaining runner. Trailing Stop After reaching the 1R trigger, a trailing stop activates at 0.75× ATR behind the current price. It only moves in your favor — never backward. This lets winners run in trending sessions while protecting gains. Full Take Profit at 2R The remaining position targets 2× the initial risk. Combined with the partial at 1R, the effective average exit on a full winner is approximately 1.5R. █ BACKTEST REALISM The strategy models: • $2.50 per contract commission (round-trip ~$5.00, typical for /ES) • 2-tick slippage ($25 per contract) • No fills on close — orders process on the next bar This matters. Many published strategies show inflated results because they assume zero friction. The performance you see in the Strategy Tester should be closer to what you would actually experience. █ DASHBOARD A real-time info table displays: • Current HTF trend direction • VWAP bias (above/below) • Current ATR value • Volume ratio vs. SMA (with color coding for spike detection) • Session status (active/closed) • Position status • MACD histogram value █ SETTINGS GUIDE Inputs are grouped logically. Key tuning parameters: Volume Multiple (default 1.2×) — Lower to 1.0× if you're getting too few signals in quieter sessions. Raise to 1.5× for stricter filtering. HTF Timeframe (default 15m) — The 15-minute 50 EMA represents ~12.5 hours of trend data. You can try 30m for a slower, more conservative filter. Trail Trigger (default 1.0R) — Set to 0.75R for more aggressive trailing. Set to 1.5R if you want the trail to activate later and give more room. Trail Offset (default 0.75 ATR) — Lower values trail tighter (more likely to get stopped but lock more profit). Higher values give more room but risk giving back gains. All filters (HTF, VWAP, Volume, Session) can be individually toggled off for testing which components add value in your specific market conditions. █ WHAT THIS IS NOT • This is not a scalping system. It targets 2R moves, not 2-tick scratches. • This is not a reversal catcher. It trades pullbacks within established trends. • This will not protect you from news events. Avoid FOMC, CPI, NFP, and other high-impact macro releases — no algorithm can predict those. • This is not financial advice. Futures are leveraged instruments. Backtest results do not guarantee future performance. █ RECOMMENDED USAGE • Chart: /ES 5-minute • Session: RTH only (9:30 AM – 3:30 PM ET) • Avoid: 15 minutes before/after high-impact economic data • Combine with: Level 2 / DOM for discretionary confirmation if available —— INDICATOR VERSION —— Same logic as the strategy but packaged as an indicator() for live discretionary trading: • No backtest engine overhead — lighter on your chart • Entry labels display exact SL, TP, and risk in points at signal time • 1R level plotted in cyan for visual partial-profit reference • Signal levels auto-expire after 50 bars or when SL/TP is hit • Alert conditions registered for both long and short signals — configure through TradingView's alert dialog
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DayTradingMD1992 tarafından
Relative Strength Sector RankingRelative Strength Sector Ranking This indicator provides a real-time relative strength analysis of your stock against the top 10 constituents of its sector. By automatically detecting the sector (Technology, Financials, etc.) and comparing performance over your chosen timeframe (1D, 1W, 1M, etc.), it assigns a clear Percentile Rank (e.g., 9/10) to help you identify sector leaders and laggards. Key Features: Auto-Sector Detection: Automatically selects the top peers based on the stock's GICS sector. Dynamic Ranking: Sorts and ranks the stock against industry giants like NVDA, JPM, or XOM. Visual Dashboard: A clean, transparent table displays the full leaderboard and your stock's specific standing. Customizable: Choose your timeframe and adjust the visual style to match your chart's aesthetic. How to Use: Add the indicator to your chart. The script will auto-detect the sector and display the top 10 peers in the top-right corner. Check your stock's Rank and Score to gauge its relative strength. Use the settings to change the timeframe (e.g., verify if a stock is a leader on the 1M chart but lagging on the 1W).
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danny_dahan tarafından
Premium Discount Range Daily with VWAPPremium Discount Range (Daily + VWAP): This indicator provides a visual reference for price positioning relative to: • The current day’s developing high/low range midpoint • Session VWAP It classifies price into three zones: Premium → Price trading above midpoint threshold Discount → Price trading below midpoint threshold Fair Value → Price within the defined midpoint band How It Works: 1. Tracks the current day's evolving high and low. 2. Calculates the intraday midpoint. 3. Compares current price to: Midpoint (with adjustable percentage threshold) VWAP 4. Displays status via: Background shading Optional live label Use Cases: • Intraday bias identification • Context for pullback entries • Range positioning analysis • VWAP confluence assessment Notes: Designed for intraday charts. Works across stocks, forex, crypto, and indices. Does not generate trading signals or guarantee outcomes. Use alongside proper risk management and confirmation tools.
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uzair2join tarafından
Automatic Trendline [Metrify]Metrify Automatic Trendlines is an auto-drawing support/resistance channel built around pivot clustering + scoring, not “connect two perfect points”. The script continuously collects swing pivots (high/low) over a configurable lookback window, then searches for the best single support line and the best single resistance line that behave like a human-drawn trendline: multiple interactions, controlled slope, limited break-throughs, and (most importantly) still relevant to the current price. (configurable in "Max Relevance Distance" input) The fundamental problem with algorithmic trendlines is subjectivity. To solve this mathematically, we treat trendlines as a statistical regression problem with specific constraints. We do not use linear regression on all candles, instead, we use a brute-force iterative approach on specific "Pivot Points." The logic operates on a simple premise: Generate every possible line between past swing points, validate them against price history, score them based on fit, and render only the winner. The Calculation Engine (f_find_best_line) This function contains the primary computational load. It performs a nested loop operation: Outer Loop (newer): Iterates through recent pivots. Inner Loop (older): Iterates through older pivots to form a candidate line segment. For every pair of pivots (P1​,P2​), we calculate the slope (m) and the y-intercept concept. This gives us a tentative trendline equation: y=mx+c The Scoring Matrix We assign a score to each candidate line based on weighted heuristics: Touch Count (touches * 2.8): The primary driver. More touches = higher statistical significance. Recency (recency * 1.2): Lines originating closer to the current price action are weighted higher. Tightness (avgErr): We calculate the average distance of all touches from the line. A "tighter" fit (lower error) increases the score. Penalties: violations * 2.2: False breaks heavily penalize the score. barBreakRatio * 2.0: If the line cuts through candle bodies (even if pivots are fine). The line with the highest localBest score is returned as the dominant trendline. What you can use it for? This is a structure visualizer that tries to keep a clean, current S/R channel on screen with volatility-aware rules. It’s not a signal generator, it doesn’t predict breakouts, and it won’t always draw something, if the market is messy and no line survives the filters, it will show none instead of hallucinating geometry. If you need more lines (multiple concurrent channels), that’s a different design tradeoff (and usually becomes clutter + false confidence fast).
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Metrify tarafından
2
Stock Expansion Pullback SignalStock Expansion Pullback Signal This indicator highlights pullback opportunities that occur after strong expansion candles confirmed by volatility and momentum. Concept: 1. Expansion Detection: Candle range exceeds ATR × multiplier Strong body structure (momentum candle) RSI confirms directional momentum 2. Pullback Phase: Price retraces into: EMA fast/slow zone OR a defined VWAP proximity band 3. Signal: A signal prints when pullback conditions occur within a configurable number of bars after the expansion. Features: • ATR-based expansion filter • RSI momentum confirmation • EMA structure context • VWAP proximity detection • Adjustable expansion validity window • Alert-ready conditions Notes: Designed for intraday and swing environments. Works across stocks, indices, crypto, and forex. Signals are informational and do not guarantee outcomes. Always forward test before live application.
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uzair2join tarafından
Linear Regression Channel (Std Error) & TrendThis indicator plots a Linear Regression Channel that dynamically adapts to price action using a rolling lookback period. It is designed to assist traders in identifying the dominant trend direction and statistical volatility extremes. Methodology & Calculations Center Line (Basis): Calculated using the ta.linreg function. It represents the "best-fit" straight line through the price data over the specified length, serving as a mean-reversion anchor. Outer Bands: Constructed using Standard Deviation (ta.stdev) multiples added to and subtracted from the center line. These bands expand and contract based on market volatility. Trend Logic: The color of the channel is determined by the slope of the Linear Regression line. A positive slope turns the channel Green (Uptrend), while a negative slope turns it Red (Downtrend). Key Features Trend Visualization: The background color provides an instant visual cue of the market regime. Visual Signals (UP/DN): Small triangular labels appear when the slope polarity flips (e.g., from negative to positive), marking a potential trend change. Dynamic Support/Resistance: The Upper and Lower bands act as dynamic levels where price is statistically overextended, often leading to mean reversion or consolidation. Alerts Included Trend Change (UP): Triggered when the LinReg slope turns positive. Trend Change (DOWN): Triggered when the LinReg slope turns negative. Price > Lower Band: Potential mean reversion (bounce) signal. Price < Upper Band: Potential mean reversion (pullback) signal. Settings Length: Adjusts the lookback period for the regression calculation (Default: 100). Multiplier: Adjusts the width of the bands based on Standard Deviation (Default: 2.0). Disclaimer: This tool is for educational purposes and technical analysis only. Past performance does not guarantee future results. Always manage your risk.
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GodeyeThelasthope tarafından
2
Unified Master Stack Unified Master Stack Overview The Unified Master Stack is an all-in-one market analysis and execution system designed for professional intraday traders. It integrates four distinct logic modules—Bias, Safety, Execution, and Context—into a single synchronized HUD. The system features an optional Consensus Engine that prevents execution signals if the broader market context does not align with the local price action. The Four Core Modules 1. Bias Scanner (Accumulation/Distribution) This module analyzes volume flow and wick pressure over a user-defined lookback period. Logic: It aggregates volume on up-candles vs. down-candles and compares the ratio of upper vs. lower wicks to determine if the "Lean" is bullish (accumulation) or bearish (distribution), filtering out noise from basic indicators. 2. Scalper Guard (The Safety Filter) Designed to prevent "FOMO" entries at the tops or bottoms of moves. Logic: It monitors the distance from a core EMA and calculates candle "health" based on wick-to-body ratios. If the price is over-extended or rejecting a level with a long wick, the Guard shifts to a "WAIT" state, overriding execution signals. 3. Apex Predator (Execution Engine) The primary signal generator based on high-probability engulfing patterns. Logic: It looks for specific "touch-and-go" price action. It requires a price interaction with a fast EMA (The Magnet), followed by a bullish or bearish engulfing candle that occurs in the direction of the primary trend. 4. Logic Engine (Institutional Context) Tuned for the Los Angeles (Pacific) Timezone, this module tracks institutional session boundaries. Macro Timers: Tracks specific algorithmic windows (6:50 AM and 7:50 AM PT) where liquidity typically surges. ADR Fuel Gauge: Calculates the Average Daily Range to identify if the market is "Overheated" (volatility exhaustion). State Machine: Classifies the market into 6 states: Stop Runs, Reversals, Bullish/Bearish Trends, Traps, or Quiet Ranges. Key Feature: System Consensus The unique value of this script lies in its Consensus Logic. When enabled, the "Apex Predator" signals are automatically filtered by the "Bias Scanner" and "Logic Engine." If the execution engine wants to buy, but the Logic Engine detects a "Bull Trap" or the Bias Scanner shows "Distribution," the signal is blocked to protect the trader. How to Use Monitor the HUD: The table provides a real-time checklist of all four modules. Identify the State: Check the Logic Engine to see if the market is in a "Trap" or "Trend." The Snipe: Execute when the HUD displays "BUY SIGNAL" or "SELL SIGNAL," which only occurs when all enabled filters are satisfied.
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DarwinIsidro tarafından
Z-Score Distortion LabName: Z-Score Distortion Lab 🔬 Description: The Anatomy of Market Volatility Most indicators focus on price direction, but Z-Score Distortion Lab dives deeper into the "Statistical Health" of the market. This tool analyzes the 3rd and 4th statistical moments—Skewness and Excess Kurtosis—to identify when price action is deviating from a normal distribution. Key Clinical Features: Skewness (Neon Line): Measures the asymmetry of price distribution. A high positive/negative skew indicates a strong directional bias or "Distortion" that often precedes trend exhaustion or sharp reversals. Excess Kurtosis (Aqua Line): Monitors "Fat-Tail Risk." When Kurtosis spikes, it signals extreme market conditions and high volatility where outliers (black swan events) are more likely to occur. Visual Diagnostics: Equipped with "Risk Triangles" and "Bias Arrows" to highlight statistical anomalies in real-time. How to use in your "Lab": Risk Monitoring: Use the Kurtosis threshold to identify high-risk environments where standard strategies might fail. Bias Detection: Use Skewness arrows to confirm the underlying strength of a move. Customizable Thresholds: Fully adjustable inputs to fit your specific timeframe and asset class. Disclaimer: This tool is for statistical analysis and educational purposes only. It does not provide financial advice or guaranteed trade signals. Always use proper risk management.
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GodeyeThelasthope tarafından
News StraddleNews Straddle Plot straddle boxes around scheduled news releases (CPI, NFP, FOMC, etc.) with configurable offset, take-profit, and dead-zone levels. Features Paste any list of event dates — works for any recurring news release Live mode: boxes appear and track price in real-time before the release, updating with each candle Historical mode: boxes anchor to the release candle so you can backtest visually Built-in alerts fire before the release so you never miss an event All levels (offset, TP, SL/dead zone) and timing are fully configurable Setup Paste your event dates (e.g. "Feb 13, 2026") one per line Set the release hour/minute in New York time Adjust offset, TP, and SL to match your strategy Add an alert to get notified before each release Best used on 1–5 min charts for NQ, ES, or any instrument sensitive to macro news.
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godzcopilot tarafından
Trend Road Map█ OVERVIEW Trend Road Map is a volatility-based trend indicator built around a dynamic ATR channel that defines the current market regime and visualizes it as a structured “trend road.” Instead of relying on classic moving average crossovers, the indicator filters price movement relative to a base moving average and a minimum ATR-based deviation threshold. This removes minor fluctuations and focuses only on meaningful market shifts. █ CONCEPTS Markets spend most of their time fluctuating around equilibrium near a moving average. A strong trend begins when price moves a meaningful distance away from that average relative to current volatility. The indicator operates in three steps: - Calculates a base moving average (SMA / EMA / WMA / HMA). - Verifies whether price deviation exceeds an ATR-based minimum threshold. - Smooths the filtered average and builds a volatility channel (“Road”) around it. If price closes above the upper boundary → bullish regime activates. If price closes below the lower boundary → bearish regime activates. Additionally, the indicator includes an ATR-based distance heatmap. Market observation shows that even in strong trends, price rarely moves extremely far away from its moving average. When distance becomes relatively large compared to volatility, price often retests the MA. The heatmap visualizes this distance dynamically, helping traders assess whether the move is balanced or overstretched. █ FEATURES Minimum Deviation Filter: MA updates only when |Price – MA| > ATR × Multiplier reduces noise and false regime shifts Smoothed Trend Axis: - additional smoothing (EMA / RMA / WMA / SMA) - stabilizes the central structure of the channel Volatility Channel (“Road”): - width = ATR × Road Width Multiplier - dynamically adapts to current volatility - channel fill:   • light gray – bullish regime   • dark gray – bearish regime Optional Candle Coloring: - candles can reflect the active regime direction - fully toggleable in settings Regime Change Signals: - green circle below the bar → start of BULL regime - red circle above the bar → start of BEAR regime Re-entry (🚦): - appears when price re-enters the channel after a breakout - signals a return to equilibrium conditions Distance Heatmap: - vertical gradient bar displayed on the right side - smooth color transitions from neutral to warning levels - based on ATR-relative distance from the smoothed MA Heatmap settings: - Max ATR Distance for Heatmap – defines the maximum ATR distance used for scaling - Heatmap Cells – controls gradient resolution (number of segments) Dynamic Status Label: - displays current market zone (Clear Road / Normal Range / Warning Zone / Danger Zone) - automatic text color adjustment based on background brightness Alerts: - Bull Entry - Bear Entry - Re-Entry █ HOW TO USE Add the indicator to your chart → Indicators → search for “Trend Road Map” Basic interpretation: - Price above upper boundary + light gray channel fill = active bullish regime - Price below lower boundary + dark gray channel fill = active bearish regime - Price inside the channel = equilibrium / transitional phase Parameters should be adjusted depending on whether the indicator is used as a strict trend filter or as a wider price channel tool. █ APPLICATIONS Trend Road Map is primarily a trend indicator. Its main purpose is to define the active market regime and filter trading conditions. It can be used as a directional filter for momentum tools such as RSI or MACD. For example: - consider LONG signals only when a bullish regime is active - ignore signals that go against the dominant direction Channel Breakout Trading Breakouts outside the “Road” can be traded directly. However, confirmation from other tools is recommended, such as: - RSI above 50 during bullish breakout (but not extremely overbought), - increasing momentum, - no major resistance directly ahead. Price Channel / Mean Reversion (with wider bands) By increasing the Road Width multiplier, the indicator can function as a structured price channel. In this configuration, traders may apply band-to-band mean reversion strategies. As with any mean reversion approach, probability improves when combined with additional tools, such as: - pivot levels, - Fibonacci retracements, - key support and resistance zones. █ NOTES This indicator was not designed as a standalone trading strategy, but primarily as a market filtering and context tool. Parameters should be adjusted according to the instrument and, most importantly, according to the strategy and function the indicator is intended to serve (trend filter, breakout tool, or structured channel). Volatility varies significantly across markets and timeframes — optimization is essential for consistent performance.
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Uncle_the_shooter tarafından
2
GMT Quarterly Boxes ET @RukinRomanThe indicator divides the trading year into 4 quarters, after which it performs a sequential breakdown based on the Fibonacci number structure. Cycle distribution structure: 13 5 + 8 5 + (3 + 5)... etc. As a result, the year is divided into cycle sequences. x13-x13... x8-x5-x8... x5-x3-x5... x3-x2-x3... x2-x1-x2... Each cycle level can be enabled or disabled separately. Functionality Display cycles from x13 to x1. Ability to enable and disable individual cycles. Color settings for each cycle type. SMT (Smart Money Technique) support with any selected instrument. Ability to enable and disable SMT display. Flexible visual settings (on/off cycles and SMT, color changes). Working timeframe — 1D. Developed based on the Enigma Theory, authorship belongs to the GMT team (GrandMasters of Trading)
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The_child_of_Futures tarafından
ASO Money Maker by Bruno MoscanHere’s a natural, human-style explanation you can use: --- The **ASO Pro (Average Sentiment Oscillator)** is a momentum-based indicator designed to measure the balance between buying and selling pressure in the market. It works by analyzing both intrabar price behavior and grouped price movement over a defined period, then smoothing the results to create two lines: a blue line representing bullish strength and a red line representing bearish strength. When the blue line rises, it indicates increasing buying pressure. When the red line rises, it reflects growing selling pressure. By observing how these two lines behave relative to each other and to predefined overbought (OB) and oversold (OS) zones, traders can better understand shifts in market sentiment and potential turning points. In addition to showing momentum, this version of the indicator tracks significant extremes. Whenever the bullish line reaches a strong top (overbought condition), the indicator records the closing price of that candle. The same happens when the bearish line reaches its extreme, marking a potential bottom. It then calculates the average of the most recent selected number of these top and bottom prices (for example, the last 5 or 10 occurrences, depending on user preference). These calculated averages are displayed directly on the indicator panel: * The average price of recent tops appears in the upper-right corner. * The average price of recent bottoms appears in the lower-right corner. This gives traders a dynamic reference of where the market has historically peaked or bottomed according to momentum conditions — helping identify potential support and resistance zones based on real sentiment extremes rather than arbitrary price levels. In short, the ASO Pro combines momentum analysis with practical price-level tracking, offering both directional insight and actionable reference levels in one tool.
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BrunoMoscan tarafından
Z-Score (Normal Distribution ) with AlertsStatistical Edge: Z-Score (Normal Distribution) Indicator Concept & Logic The Z-Score Indicator is a statistical tool used to measure how many standard deviations a price is from its mean (Simple Moving Average). By applying the principles of Normal Distribution (The Gaussian Curve) to market data, this indicator identifies whether a price move is "normal" or "extreme" relative to its recent history. In a theoretical Normal Distribution: 68.2% of data points fall within ±1 Standard Deviation (SD). 95.4% of data points fall within ±2 SD. 99.7% of data points fall within ±3 SD. When the Z-Score crosses these thresholds, it indicates that the current price action is statistically rare, often signaling potential exhaustion or a high-momentum breakout. Key Features Z-Score Line (Blue): Tracks the real-time deviation of price from the mean. ±2.0 Threshold (Dashed Lines): Represents the 95% confidence interval. Prices reaching this zone are considered "Overextended" and often see a return to the mean (Mean Reversion). ±3.0 Threshold (Solid Lines): Represents the 99.7% extreme zone. Movements here are rare and suggest either an imminent sharp reversal or the start of a "Black Swan" parabolic trend. Statistical Zones: Color-coded fills (Red for high extreme, Green for low extreme) for quick visual scanning. How to Trade with Z-Score Mean Reversion: Look for the Z-Score to penetrate the +2 or +3 levels and then cross back toward the zero line (Mean). This often signals that the "stretch" is over and price is returning to balance. Trend Strength: A Z-Score that stays consistently above +2 (or below −2) without returning to zero indicates a very strong momentum trend. Do not fight the trend in these "fat tail" events. Divergence: Watch for price making a higher high while the Z-Score makes a lower high at the +2 level; this suggests the momentum is weakening despite the price increase. Technical Settings Period (Length): The lookback period for calculating the Mean and Standard Deviation (Default: 20). Source: Usually set to Close, but can be adjusted for different strategies. Disclaimer Financial markets do not always follow a perfect Normal Distribution (they often exhibit "Leptokurtosis" or fat tails). Statistical indicators should be used as a confluence tool alongside Price Action, Volume, and other technical analysis methods. Past performance does not guarantee future results.
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GodeyeThelasthope tarafından
Scalping Strategy with Targets1. Indicator Overview Property Value Name Scalping Strategy with Targets Version Pine Script v6 Type Technical Indicator with Trading Signals Overlay Yes (displayed on price chart) 2. Core Functionality This indicator generates buy and sell signals based on a combination of: Exponential Moving Averages (EMA) crossover RSI (Relative Strength Index) Stochastic Oscillator MACD (optional confirmation) ATR (for dynamic TP/SL levels) 3. Technical Indicators Used Indicator Parameters Purpose Fast EMA Period: 9 Short-term trend detection Slow EMA Period: 21 Long-term trend detection RSI Period: 14, Overbought: 70, Oversold: 30 Momentum measurement Stochastic K: 14, D: 3, Overbought: 80, Oversold: 20 Overbought/Oversold zones MACD Fast: 12, Slow: 26, Signal: 9 Trend confirmation (optional) ATR Period: 14 Dynamic TP/SL calculation 4. Signal Modes Mode 1: Strong (EMA + Trend) BUY = EMA Crossover + Fast EMA Rising + (RSI < 50 OR Uptrend) SELL = EMA Crossunder + Fast EMA Falling + (RSI > 50 OR Downtrend) Mode 2: Very Strong (EMA + RSI + Trend) BUY = EMA Crossover + RSI < 40 + Fast EMA Rising + Price > Fast EMA SELL = EMA Crossunder + RSI > 60 + Fast EMA Falling + Price < Fast EMA Mode 3: Confirmations Mode Requires a user-defined number of confirmations (1-3) Each condition counts as one confirmation: EMA Crossover/Crossunder Fast MA Rising/Falling RSI below/above 50 Price above/below Fast MA Uptrend/Downtrend MACD Bullish/Bearish (if enabled) 5. Filters (Optional) Filter Condition Purpose Volume Filter Volume > Volume SMA Ensure sufficient liquidity ATR Filter ATR > Minimum ATR Avoid low volatility periods 6. TP/SL Calculation All levels are calculated dynamically using ATR multiplier: For BUY Signals: ├── TP1 = Entry Price + (ATR × 1.5) ├── TP2 = Entry Price + (ATR × 2.5) └── SL = Entry Price - (ATR × 0.5) For SELL Signals: ├── TP1 = Entry Price - (ATR × 1.5) ├── TP2 = Entry Price - (ATR × 2.5) └── SL = Entry Price + (ATR × 0.5) 7. Signal Tracking Logic ┌─────────────────────────────────────────────────────────────┐ │ 1. Signal Triggered │ │ → Record entry price │ │ → Calculate TP1, TP2, SL │ │ → Set signalActive = true │ ├─────────────────────────────────────────────────────────────┤ │ 2. Active Trade Monitoring │ │ → Check if price hits TP1 (mark as hit) │ │ → Check if price hits TP2 (mark as hit) │ │ → Check if price hits SL (mark as hit) │ ├─────────────────────────────────────────────────────────────┤ │ 3. Trade Closure │ │ → When TP1 AND TP2 hit → Close trade │ │ → When SL hit → Close trade │ │ → Reset all values │ └─────────────────────────────────────────────────────────────┘ 8. Dashboard Display The indicator displays an interactive dashboard showing: Row Content 1 Signal Type (BUY/SELL) + PnL % 2 Entry Price + Current Price + Trend Direction 3 Target Price (TP2) + Percentage + Status 4 Stop Loss + Percentage + Status 5 Separator 6 ATR Value + RSI Value 7 Stochastic + MACD Status 8 Volume + Confirmations Count 9. Visual Elements On Chart: Fast EMA (Orange line) Slow EMA (Blue line) BUY Signal (Green triangle below bar) SELL Signal (Red triangle above bar) TP1 Line (Lime/Red dashed line - visible on last bar only) TP2 Line (Semi-transparent Lime/Red - visible on last bar only) SL Line (Red line - visible on last bar only) Dashboard Colors: Element Color BUY Signal Green (#00FF00) SELL Signal Red (#FF0000) Uptrend Green Downtrend Red Target Hit ✓✓ (Green) SL Hit ✓ (Red) Pending ○ (Gray) 10. Alerts The indicator provides alert conditions for: Buy Signal triggered Sell Signal triggered 11. Key Features ✅ 3 Signal Modes - Choose between Strong, Very Strong, or Confirmations ✅ Optional Filters - Volume and ATR filters ✅ Dynamic TP/SL - Based on ATR volatility ✅ Interactive Dashboard - Real-time trade monitoring ✅ Visual Targets - TP/SL lines on chart ✅ Alert System - TradingView notifications ✅ Multi-timeframe Compatible - Works on any timeframe
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iqraa888 tarafından
ICT Outer Band Projection It is expressed as a band that follows premium and discount values centered around a line that defines the trend. Additionally, it provides signals for overbought and oversold conditions, which can help in identifying trading entry and exit points. As an indicator designed to help beginners establish a clear trading framework, it has completed testing. However, any additional feedback or suggestions would be greatly appreciated and will be carefully considered for future updates. It also includes signals for both the upper and lower medium-term trends, as well as short-term trend signals.
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sym10000 tarafından
1
Current 15m Candle CPI TRADE📌 Indicator Description Current 15m Candle +50 / +86 Levels This indicator is specifically designed for trading high-impact news events such as CPI releases. It dynamically calculates expansion levels from the currently forming 15-minute candle, projecting potential volatility targets during news spikes. 🔎 How It Works During events like the Consumer Price Index (CPI): The market often makes aggressive breakout moves. This indicator tracks the live 15-minute candle. It projects: 🔵 High + 50 points 🔵 High + 86 points 🔴 Low − 50 points 🔴 Low − 86 points These levels act as volatility expansion targets during the news reaction. ⚡ Key Features Works only on the 15-minute timeframe Shows levels from the live candle only Automatically removes previous levels Keeps the chart clean (no historical clutter) Adjustable point settings Custom horizontal extension 🎯 Purpose Built for: CPI breakout trading News volatility scalping Fast momentum trades Target projection during macro releases This tool helps traders react quickly to inflation-driven market moves by providing clear expansion targets in real time.
Pine Script® göstergesi
alharmi2001 tarafından
Easy Buy/Sell- VetriFX Hub1. CORE TREND & SAFETY ARCHITECTURE Smart Chart Detection Protocol: A background safety check that instantly detects the chart type. If the user is not on Heikin Ashi, it triggers a "Visual Lockout" (Red Screen) to prevent false signals. Trend Direction Filter: A manual "Master Switch" (trendSelection) that forces the algorithm to look only for specific setups (UPTREND, DOWNTREND, or SIDEWAYS). Data Integrity Engine: Uses request.security to pull Heikin Ashi data from the backend, ensuring the mathematical calculation of trends remains stable regardless of visual volatility. 2. INTELLIGENT TRADE MANAGEMENT SYSTEM Auto-Entry Calculation: Captures the exact close price of the signal candle as the Entry Price. Dynamic Risk Management: Automatically calculates Take Profit (TP) and Stop Loss (SL) levels based on user-defined percentage inputs (tpPercent, slPercent). Exit Logic Monitor: Tracks price action bar-by-bar after entry. Win Condition: Checks if High >= TP (for Buys) or Low <= TP (for Sells). Loss Condition: Checks if Low <= SL (for Buys) or High >= SL (for Sells). 3. DYNAMIC VISUALIZATION SUITE Smart Graphics Cleanup: A utility function (deleteOldGraphics) that automatically removes old TP/SL lines and labels when a new signal appears, keeping the chart clean. Contextual Candle Coloring: Dynamically changes candle colors to provide instant visual feedback: Aqua: Buy Signal Yellow: Sell Signal Green: Winning Trade Red: Losing Trade Weekly Range Mapper: Plots dashed lines representing the 7-Day High and 7-Day Low, providing visible support and resistance zones. 4. PROFESSIONAL PERFORMANCE ANALYTICS Dual-Mode Backtester: A switch that allows users to toggle between Visible Range Analysis (current screen) and Monthly Backtest Mode (specific historical month). Growth Calculator: An algorithm that computes the Net Estimated Growth based on the formula: (Total Wins * TP%) - (Total Losses * SL%). Live Dashboard: A table in the bottom-right corner that displays Real-Time Stats (Win Rate, Total Trades, Trade Mix) and active Signal Parameters. 5. REAL-TIME ALERT SYSTEM Dynamic Alert Messages: Generates a custom text string for every signal containing the exact Entry Price, TP Level, and SL Level. Server-Side Hooks: Includes alertcondition() functions for "VetriFX BUY" and "VetriFX SELL," allowing the script to be connected to external trading bots or mobile push notifications.
Pine Script® göstergesi
Vetrifxhub_ArunKumar tarafından
Nifty ATR Manager (NKS)🎯 WHAT IS THIS INDICATOR? The Nifty ATR Manager is a comprehensive volatility and risk management tool that helps you: ✓ Measure current market volatility ✓ Set dynamic stop-loss levels ✓ Calculate take-profit targets ✓ Manage position sizing ✓ Identify volatility regimes ⚖️ DISCLAIMER This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always: • Paper trade before going live • Risk only what you can afford to lose • Consult a financial advisor for investment decisions • Understand that all trading involves risk ✅ CHECKLIST BEFORE TRADING □ ATR period set correctly (14 for most cases) □ SL multiplier appropriate for timeframe □ Position size calculated (max 2% risk) □ Stop loss level noted and accepted □ Take profit targets identified □ Chart is on correct symbol (Nifty/Bank Nifty) □ Current ATR value is normal (not spiked) □ No major news scheduled for next 2 hours, "Happy Trading"
Pine Script® göstergesi
nkscharts tarafından