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CHOCH + FVG Signals [30m Optimized]CHOCH + FVG Signals 🎯 What It Does: This script automatically scans your chart for high-probability Smart Money Concepts (SMC) setups based on two key institutional trading principles: Change of Character (CHOCH) – A shift in market structure signaling potential reversal Fair Value Gap (FVG) – An imbalance zone where price moved too fast, often acting as support/resistance When both conditions align, the script plots clear Buy (▲) and Sell (▼) signals directly on your chart — ideal for intraday trading on the 30-minute timeframe (but works on any timeframe). ✅ Key Features: 🔹 Visual Fair Value Gaps Green shaded zones = Bullish FVGs (potential support) Red shaded zones = Bearish FVGs (potential resistance) Toggle on/off in settings 🔹 Smart CHOCH Detection Detects breaks of recent swing highs/lows with proper context Avoids false signals by confirming prior price structure 🔹 Clear Trade Signals Green ▲ below bar = Buy signal (Bullish CHOCH + FVG confluence) Red ▼ above bar = Sell signal (Bearish CHOCH + FVG confluence) 🔹 Customizable Filters Option to require FVG for a signal (recommended for higher accuracy) Adjust sensitivity via swing detection settings (default optimized for 30m) 🔹 Alert-Ready Built-in alert conditions for instant notifications on TradingView mobile/desktop ⚙️ How to Use: Apply to a 30-minute chart (e.g., EURUSD, Gold, NAS100, BTC) Wait for at least 50–100 bars to load (so swing points appear) Look for: A green triangle (▲) → consider long entry near FVG support A red triangle (▼) → consider short entry near FVG resistance Confirm with price action: Wait for a strong candle close or rejection at the FVG zone Use stop-loss below/above the FVG and target recent liquidity pools 💡 Pro Tip: Best used during high-volume sessions (e.g., London Open 7–10 AM UTC, NY Open 12:30–3:30 PM UTC). 🛠️ Settings (Inputs): Show Fair Value Gaps ✅ Enabled Visualize FVG zones Max FVG History 100 bars Prevent chart clutter Require FVG for Signal? ✅ Enabled Higher-quality setups (disable to test CHOCH-only) ⚠️ Important Notes: This is a signal generator, not financial advice. Always manage risk. Works best in trending or breaking markets — avoid during low-volatility ranges. FVGs may get filled (tested) before price continues — patience improves results. Backtest on historical data before live trading. 📣 Ideal For: Retail traders learning Smart Money Concepts (SMC) Price action traders seeking institutional-level confluence Intraday scalpers & swing traders on 30m–1H timeframes
Indicador Pine Script®
por Spoiltbrat
ten2 Cipher v.1Created and built by ten2crypto This is not just another "Market Cipher" clone. This is my personal, ground-up build of a comprehensive momentum and divergence toolkit, designed to provide a deeper, more nuanced view of the market. The ten2 Cipher Divergence Engine combines the best aspects of classic momentum oscillators with a powerful, multi-layered divergence system. This indicator was built for my own trading and is now being shared with the community.
Indicador Pine Script®
por ten2crypto
1
Squeeze Breakout Strategy [KedArc Quant]Description: Squeeze Breakout strategy looks for volatility compression (Bollinger Bands inside Keltner Channels = a “squeeze”), then trades the volatility expansion in the direction of a momentum filter. 🧠 How the “Squeeze → Expansion” works - Markets alternate between quiet (compressed) and active (expanded) phases. - We call it a squeeze when Bollinger Bands (BB)—which reflect standard deviation around price—shrink inside the Keltner Channels (KC)—which reflect ATR/range. - This means dispersion (stdev) is small relative to typical range (ATR). Price is coiling; participants are agreeing on value. - When BB pops back outside KC, the squeeze releases. That’s the first sign that volatility is expanding again. - A release alone doesn’t tell you direction. That’s why this strategy pairs the release with a momentum filter: - We estimate momentum using a smoothed linear-regression slope of price (a clean proxy for acceleration). - If the slope is positive at release, we favor longs; if negative, we favor shorts. - Optionally, you can require Band Break + Momentum (price closes beyond the BB) for a stricter entry. - This combination aims to capture the first leg of the range-to-trend transition while avoiding random pokes that often occur during tight consolidations. 💡 Why this is unique Two entry modes (toggle): 1. Release + Momentum (enter when the squeeze turns off) 2. Band Break + Momentum (enter on a close beyond BB with momentum) - Momentum = smoothed linear-regression slope, a clean thrust detector that’s less laggy than many oscillators. - Risk module included: ATR stop, optional 1R partial take-profit, and a Chandelier trailing stop for the runner. - Practical filters: higher-timeframe EMA trend alignment, volume surge, minimum BB width, and session window—so it adapts across markets/timeframes. - Backtest-ready: uses TradingView’s `strategy.` framework with commission/slippage controls. 📈 How it helps traders ✅Regime clarity: distinguishes compression vs. expansion so you’re not forcing trades during dead zones. ✅Objective entries: momentum + band logic reduces discretionary “feel” and late chases. ✅Built-in risk plan: stop/targets/trailing defined in inputs—consistent execution across tickers. ✅Adaptable: works across instruments/timeframes; filters let you tailor noise tolerance per market session. ✅Alerts: real-time signals for entry and squeeze release. ✅Not a Mash-Up / Original Work ✅Fully authored in Pine Script v6; no external libraries or copied logic blocks. ✅Uses well-known, documented formulas (BB, KC, ATR, LinReg slope) combined into a new rule set (two entry modes + momentum + structured exits). ✅Code and parameters are transparent and adjustable; the script stands alone. 🧩 Formulas (core) Bollinger Bands # Basis = `SMA(close, bbLen)` # Upper/Lower = `Basis ± bbMult × stdev(close, bbLen)` # Width% = `(Upper − Lower) / Basis × 100` Keltner Channels # Basis = `EMA(close, kcLen)` # Upper/Lower = `Basis ± kcMult × ATR(kcATR)` Squeeze state # ON: `BB_Upper < KC_Upper` and `BB_Lower > KC_Lower` # Release: `squeeze_on ` and `not squeeze_on` Momentum (this script) # `lin = linreg(close, momLen, 0)` # `mom = SMA( lin − lin , momSmoothing )` # Long bias when `mom > 0`; short bias when `mom < 0`. ⚙️ Inputs Compression `bbLen`, `bbMult` — BB length & std-dev multiplier `kcLen`, `kcATR`, `kcMult` — KC lengths & ATR multiplier `Entry Mode` — Release + Momentum, Band Break + Momentum, or Either Momentum `momLen`, `momSmoothing` Filters (optional) `Use HTF Trend Filter` + `HTF Timeframe` + `HTF EMA Length` `Require Volume Surge` (`volLen`, `volMult`) `Avoid Ultra-Low Vol` (`Min BB Width %`) `Session` window Risk / Exits `ATR Length`, `ATR Stop Multiplier` `Take Profit at 1R` (with Partial 50%) `Chandelier` (`chLen`, `chMult`) Optional `Time Stop (bars)` 🎯 Entry & Exit Rules Entry (choose one mode): 1. Release + Momentum (default) Long: on the bar the squeeze releases and `mom > 0`, passing all enabled filters. Short: on the bar the squeeze releases and `mom < 0`, passing filters. 2. Band Break + Momentum Long: `close > BB_Upper` and `mom > 0`, with filters. Short: `close < BB_Lower` and `mom < 0`, with filters. Initial Stop ATR-based: `Stop Distance = atrMult × ATR(atrLen)` from entry. Targets & Runner TP1 at 1R (optional): take 50% at `entry + 1R` (long) / `entry − 1R` (short). Runner: remaining position trails a Chandelier stop: Long trail = `highest(high, chLen) − chMult × ATR` Short trail = `lowest(low, chLen) + chMult × ATR` Optional Time Stop: close the trade after N bars in position. Labels on chart “Long” / “Short” = entry signals. “L-TP1 / S-TP1” = partial exits at 1R. “L-Runner / S-Runner” = trailing-stop exits of the runner. Alerts Provided for Long Entry, Short Entry, and Squeeze Release. 💬 How to use 1. Choose your market/timeframe (e.g., NSE 5–15m intraday, 60m–Daily for swing). 2. If you prefer cleaner trends, enable the HTF EMA filter (e.g., 240m/1D). 3. For intraday, consider Band Break + Momentum with Volume Surge and a small Min BB Width. 4. Adjust ATR/Chandelier multipliers to fit your risk tolerance and instrument. Abbreviations BB – Bollinger Bands KC – Keltner Channels ATR – Average True Range SMA / EMA – Simple/Exponential Moving Average HTF – Higher Timeframe R – Risk unit (equal to the initial stop distance) ⚠️ Disclaimer This script is for educational purposes only. Past performance ≠ future returns. Always paper trade first. Options trading carries high risk — manage exposure responsibly.
Estrategia Pine Script®
por kedarcquant
Range Oscillator (Zeiierman)█ Overview Range Oscillator (Zeiierman) is a dynamic market oscillator designed to visualize how far the price is trading relative to its equilibrium range. Instead of relying on traditional overbought/oversold thresholds, it uses adaptive range detection and heatmap coloring to reveal where price is trading within a volatility-adjusted band. The oscillator maps market movement as a heat zone, highlighting when the price approaches the upper or lower range boundaries and signaling potential breakout or mean-reversion conditions. Highlights Adaptive range detection based on ATR and weighted price movement. Heatmap-driven coloring that visualizes volatility pressure and directional bias. Clear transition zones for detecting trend shifts and equilibrium points. █ How It Works ⚪ Range Detection The indicator identifies a dynamic price range using two main parameters: Minimum Range Length: The number of bars required to confirm that a valid range exists. Range Width Multiplier: Expands or contracts the detected range proportionally to the ATR (Average True Range). This approach ensures that the oscillator automatically adapts to both trending and ranging markets without manual recalibration. ⚪ Weighted Mean Calculation Instead of a simple moving average, the script calculates a weighted equilibrium mean based on the size of consecutive candle movements: Larger price changes are given greater weight, emphasizing recent volatility. ⚪ Oscillator Formula Once the range and equilibrium mean are defined, the oscillator computes: Osc = 100 * (Close - Mean) / RangeATR This normalizes price distance relative to the dynamic range size — producing consistent readings across volatile and quiet periods. █ Heatmap Logic The Range Oscillator includes a built-in heatmap engine that color-codes each oscillator value based on recent price interaction intensity: Strong Bullish Zones: Bright green — price faces little resistance upward. Weak Bullish Zones: Muted green — uptrend continuation but with minor hesitation. Transition Zones: Blue — areas of uncertainty or trend shift. Weak Bearish Zones: Maroon — downtrend pressure but soft momentum. Strong Bearish Zones: Bright red — strong downside continuation with low resistance. Each color band adapts dynamically using: Number of Heat Levels: Controls granularity of the heatmap. Minimum Touches per Level: Defines how reactive or “sensitive” each color zone is. █ How to Use ⚪ Trend & Momentum Confirmation When the oscillator stays above +0 with green coloring, it suggests sustained bullish pressure. Similarly, readings below –0 with red coloring, it suggests sustained bearish pressure. ⚪ Range Breakouts When the oscillator line breaks above +100 or below –100, the price is exceeding its normal volatility range, often signaling breakout potential or exhaustion extremes. ⚪ Mean Reversion Trades Look for the oscillator to cross back toward zero after reaching an extreme. These transitions (often marked by blue tones) can identify early reversals or range resets. ⚪ Divergence Use oscillator peaks and troughs relative to price action to spot hidden strength or weakness before the next move. █ Settings Minimum Range Length: Number of bars needed to confirm a valid range. Range Width Multiplier: Expands or contracts range width based on ATR. Number of Heat Levels: Number of gradient bands used in the oscillator. Minimum Touches per Level: Sensitivity threshold for when a zone becomes “hot.” ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicador Pine Script®
por Zeiierman
11
Dynamic S/R# Complete Parameter Guide ## 1. Lookback Bars (Default: 500) - **Function**: Number of historical bars the script analyzes to identify levels - **Example**: If set to 500, the script examines the last 500 candles - **Increase when**: Trading long-term, searching for old historical levels - **Decrease when**: Day trading or short-term trading, viewing only recent levels - **Recommendation**: 200-300 for day trading, 500-1000 for swing trading ## 2. Min Touches (Default: 3) - **Function**: Minimum number of touches required for a level to be considered valid - **Example**: If set to 3, a level with only 2 touches will not be displayed - **Increase (4-5) when**: You want only very strong and confirmed levels - **Decrease (2) when**: You want to identify potential levels early - **Recommendation**: 3 is a balanced value - not too loose, not too strict ## 3. Extrema Type (Default: both) - **Function**: Which type of extrema to identify - **Options**: - **min**: Support levels only (pivot lows) - **max**: Resistance levels only (pivot highs) - **both**: Both types - **When to change**: - In uptrend looking for support only: select "min" - In downtrend looking for resistance only: select "max" ## 4. Pivot Window (Default: 5) - **Function**: How many bars on each side are required to confirm a pivot - **Technical explanation**: pivot low = price lower than 5 bars before it and 5 bars after it - **Increase (7-10) when**: - More significant extrema needed - Less noise, fewer levels - Good for higher timeframes - **Decrease (3-4) when**: - More sensitivity needed - More levels wanted - Good for scalping - **Important**: Higher value = quality over quantity ## 5. Clustering Sensitivity % (Default: 0.5%) - **Function**: Percentage deviation allowed to group touches into the same level - **Example**: If level at $100 and sensitivity 0.5%, touches between $99.5-$100.5 count as same level - **Increase (1-2%) when**: - Volatile assets (crypto, small stocks) - More consolidation of nearby levels - Fewer levels on chart - **Decrease (0.2-0.3%) when**: - Stable assets (indices, forex majors) - Higher precision needed - Separation between close levels - **Recommendation**: Start at 0.5% and adjust per instrument ## 6. Max Levels to Show (Default: 10) - **Function**: Maximum number of support/resistance lines displayed on chart - **Selection criteria**: Script prioritizes levels by: 1. Number of touches (more = stronger) 2. Price spread (tighter = more accurate) 3. Recency (most recent touch closer to present) - **Low value (5-10)**: Clean chart with only strongest levels - **High value (20-50)**: More options, including weaker levels ## 7. Min Bar Separation (Default: 5) - **Function**: Minimum distance in bars between two touches of the same type (min or max) - **Why important**: Prevents double-counting the same extremum - **Example**: If pivot low at bar 100 and another at bar 103, only one counts - **Increase (10-20) when**: - Lower timeframes with much noise - Avoiding false consolidation - **Decrease (2-3) when**: - Higher timeframes - Identifying quick movements ## 8. Alert Proximity % (Default: 1%) - **Function**: Distance from level at which to trigger alert - **Example**: Level at $100, proximity 1% = alert between $99-$101 - **Increase (2-3%) when**: - Earlier alerts wanted - More preparation time needed - May create false alerts - **Decrease (0.5%) when**: - More precise alerts wanted - Stronger confirmation needed - Less reaction time - **Recommendation**: 1% works well for most cases ## 9. Show Price Bands (Default: true) - **Function**: Displays zone around level instead of just a line - **Zone size**: Plus/minus Clustering Sensitivity % - **Why useful**: - Levels are never exact lines - Zone better represents reality - Helps identify entries and exits within zone - **Off**: Cleaner chart with only lines ## 10. Show Info Table (Default: true) - **Function**: Displays information table in chart corner - **Table contents**: - Type: S (Support) / R (Resistance) / N (Neutral) - Price: Level price - Touches: Number of touches - Bars Ago: How many bars since last touch - **Off**: If you know the levels and want a clean chart ## Recommended Settings by Trading Style: ### Day Trading (Intraday) ``` Lookback Bars: 200-300 Min Touches: 2-3 Pivot Window: 3-5 Sensitivity: 0.3-0.5% Max Levels: 5-8 ``` ### Swing Trading (Days-Weeks) ``` Lookback Bars: 500-800 Min Touches: 3-4 Pivot Window: 5-7 Sensitivity: 0.5-1% Max Levels: 10-15 ``` ### Position Trading (Months) ``` Lookback Bars: 1000-2000 Min Touches: 4-5 Pivot Window: 7-10 Sensitivity: 1-2% Max Levels: 8-12 ``` **Important tip**: Start with default values and adjust gradually based on the asset and results.
Indicador Pine Script®
por ariel_kopi
Indian Gold Festival Dates HistoricalIndian Gold Festival Dates (1975-2025) Marks 8 major Indian festivals associated with gold buying over 50 years of historical data. Essential for analyzing seasonal patterns and cultural demand cycles in gold markets. Festivals Included: Dhanteras (Gold) - Most auspicious gold buying day Diwali (Orange) - Festival of Lights Akshaya Tritiya (Green) - "Never-ending" prosperity Dussehra (Red) - Victory and success Makar Sankranti (Cyan) - Solar new year Gudi Padwa (Magenta) - Hindu New Year (Maharashtra) Ugadi (Purple) - Hindu New Year (South India) Navratri (Yellow) - 9-day festival Features: ✓ 408 exact historical dates (1975-2025) ✓ Color-coded vertical lines for easy identification ✓ Toggle individual festivals on/off ✓ Adjustable line width and labels ✓ Works on all timeframes (best on daily/weekly) Perfect for traders analyzing gold seasonality, Indian market sentiment, and cultural demand patterns. Use on XAUUSD, GC1!, or Indian gold futures.
Indicador Pine Script®
por firstlast69
Risk-On / Risk-Off CompositeReal-time Risk-On / Risk-Off Composite from your four ratios: SPY / TLT (equities vs long bonds) HYG / LQD (high-yield vs IG credit) HG / GOLD (copper vs gold) BTC / GOLD (speculative vs defensive) It: normalizes each ratio with a z-score (so they’re comparable), lets you weight them, plots a composite line + histogram (up = risk-on, down = risk-off), shows a small heat-table for each sub-signal, and includes alert conditions for Risk-On / Risk-Off flips.
Indicador Pine Script®
por elliotallan20
Traffic Light MA — Trend IndicatorThis script displays a simple “traffic light” circle that reflects the market trend based on two moving averages (MA). -Green: Price > Fast MA > Slow MA → Uptrend confirmation -Yellow: Mixed conditions (transition zone) -Red: Slow MA > Fast MA > Price → Downtrend confirmation You can customize: -MA type (SMA or EMA) -Lengths of both MAs -Timeframe used for evaluation (e.g. Daily, 4H, Weekly) This tool is designed for traders who prefer a minimalistic chart, showing only a clean color signal instead of multiple lines. Recommendation: For small MAs (8,15,21) use EMA, for big MAs (50,100,200) use SMA
Indicador Pine Script®
por Luigui_Herrera
Multi-Timeframe EMA Trend Dashboard with Volume and RSI Filters═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME EMA TREND DASHBOARD ═══════════════════════════════════════════════════════════ OVERVIEW This indicator provides a comprehensive view of trend direction across multiple timeframes using the classic EMA 20/50 crossover methodology, enhanced with volume confirmation and RSI filtering. It aggregates trend information from six timeframes into a single dashboard for efficient market analysis. The indicator is designed for educational purposes and to assist traders in identifying potential trend alignments across different time horizons. ═══════════════════════════════════════════════════════════ FEATURES ═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME ANALYSIS • Monitors 6 timeframes simultaneously: 1m, 5m, 15m, 1H, 4H, 1D • Each timeframe analyzed independently using request.security() • Non-repainting implementation with proper lookahead settings • Calculates overall trend strength as percentage of bullish timeframes EMA CROSSOVER SYSTEM • Fast EMA (default: 20) and Slow EMA (default: 50) • Bullish: Fast EMA > Slow EMA • Bearish: Fast EMA < Slow EMA • Neutral: Fast EMA = Slow EMA (rare condition) • Visual EMA plots with optional fill area VOLUME CONFIRMATION • Optional volume filter for crossover signals • Compares current volume against moving average (default: 20-period SMA) • Categorizes volume as: High (>1.5x average), Normal (>average), Low (70), oversold (<30), and neutral zones • Used in quality score calculation • Optional display toggle SUPPORT & RESISTANCE DETECTION • Automatic detection using highest/lowest over lookback period (default: 50 bars) • Plots resistance (red), support (green), and mid-level (gray) • Step-line style for clear visualization • Optional display toggle QUALITY SCORING SYSTEM • Rates trade setups from 1-5 stars • Considers: MTF alignment, volume confirmation, RSI positioning • 5 stars: 4+ timeframes aligned + volume confirmed + RSI 50-70 • 4 stars: 4+ timeframes aligned + volume confirmed • 3 stars: 3+ timeframes aligned • 2 stars: Exactly 3 timeframes aligned • 1 star: Other conditions VISUAL DASHBOARD • Clean table display (position customizable) • Color-coded trend indicators (green/red/yellow) • Extended statistics panel (toggleable) • Shows: Trends, Strength, Quality, RSI, Volume, Price Distance ═══════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════ CALCULATIONS Trend Determination per Timeframe: • request.security() fetches EMA values with gaps=off, lookahead=off • Compares Fast EMA vs Slow EMA • Returns: 1 (bullish), -1 (bearish), 0 (neutral) Trend Strength: • Counts number of bullish timeframes • Formula: (bullish_count / 6) × 100 • Range: 0% (all bearish) to 100% (all bullish) Price Distance from EMA: • Formula: ((close - EMA) / EMA) × 100 • Positive: Price above EMA • Negative: Price below EMA • Warning when absolute distance > 5% ANTI-REPAINTING MEASURES • All request.security() calls use lookahead=barmerge.lookahead_off • Dashboard updates only on barstate.islast • Historical bars remain unchanged • Crossover signals finalize on bar close ═══════════════════════════════════════════════════════════ USAGE GUIDE ═══════════════════════════════════════════════════════════ INTERPRETING THE DASHBOARD Timeframe Rows: • Each row shows individual timeframe trend status • Look for alignment (multiple timeframes same direction) • Higher timeframes generally more significant Strength Indicator: • >66.67%: Strong bullish (4+ timeframes bullish) • 33.33-66.67%: Mixed/choppy conditions • <33.33%: Strong bearish (4+ timeframes bearish) Quality Score: • Higher stars = better confluence of factors • 5-star setups have strongest multi-factor confirmation • Lower scores may indicate weaker or conflicting signals SUGGESTED APPLICATIONS Trend Confirmation: • Check if multiple timeframes confirm current chart trend • Higher agreement = stronger trend confidence • Use for position sizing decisions Entry Timing: • Wait for EMA crossover on chart timeframe • Confirm with higher timeframe alignment • Volume above average preferred • RSI not in extreme zones Divergence Detection: • When lower timeframes diverge from higher • May indicate trend exhaustion or reversal • Requires additional confirmation CUSTOMIZATION EMA Settings: • Adjust Fast/Slow lengths for different sensitivities • Shorter periods = more responsive, more signals • Longer periods = smoother, fewer signals • Common alternatives: 10/30, 12/26, 50/200 Volume Filter: • Enable for higher-quality signals (fewer false positives) • Disable in always-liquid markets or for more signals • Adjust MA length based on typical volume patterns Display Options: • Toggle EMAs, S/R levels, extended stats as needed • Choose dashboard position to avoid chart overlap • Adjust colors for visibility preferences ═══════════════════════════════════════════════════════════ ALERTS ═══════════════════════════════════════════════════════════ AVAILABLE ALERT CONDITIONS 1. Bullish EMA Cross (Volume Confirmed) 2. Bearish EMA Cross (Volume Confirmed) 3. Strong Bullish Alignment (4+ timeframes) 4. Strong Bearish Alignment (4+ timeframes) 5. Trend Strength Increasing (>16.67% jump) 6. Trend Strength Decreasing (>16.67% drop) 7. Excellent Trade Setup (5-star rating) Alert messages use standard placeholders: • {{ticker}} - Symbol name • {{close}} - Current close price • {{time}} - Bar timestamp ═══════════════════════════════════════════════════════════ LIMITATIONS & CONSIDERATIONS ═══════════════════════════════════════════════════════════ KNOWN LIMITATIONS • Lower timeframe data may not be available on all symbols • 1-minute data typically limited to recent history • request.security() subject to TradingView data limits • Dashboard requires screen space (may overlap on small screens) • More complex calculations may affect load time on slower devices NOT SUITABLE FOR • Highly volatile/illiquid instruments (many false signals) • News-driven markets during announcements • Automated trading without additional filters • Markets where EMA strategies don't perform well DOES NOT PROVIDE • Exact entry/exit prices • Stop-loss or take-profit levels • Position sizing recommendations • Guaranteed profit signals • Market predictions ═══════════════════════════════════════════════════════════ BEST PRACTICES ═══════════════════════════════════════════════════════════ RECOMMENDED USAGE ✓ Combine with price action analysis ✓ Use appropriate risk management ✓ Backtest on historical data before live use ✓ Adjust settings for specific market characteristics ✓ Wait for higher-quality setups in important trades ✓ Consider overall market context and fundamentals NOT RECOMMENDED ✗ Using as standalone trading system without confirmation ✗ Trading every signal without discretion ✗ Ignoring risk management principles ✗ Trading without understanding the methodology ✗ Applying to unsuitable markets/timeframes ═══════════════════════════════════════════════════════════ EDUCATIONAL BACKGROUND ═══════════════════════════════════════════════════════════ EMA CROSSOVER STRATEGY The Exponential Moving Average crossover is a classical trend-following technique: • Golden Cross: Fast EMA crosses above Slow EMA (bullish signal) • Death Cross: Fast EMA crosses below Slow EMA (bearish signal) • Widely used since the 1970s in various markets • More responsive than SMA due to exponential weighting MULTI-TIMEFRAME ANALYSIS Analyzing multiple timeframes helps traders: • Identify alignment between short and long-term trends • Reduce false signals from single-timeframe noise • Understand market context across different horizons • Make informed decisions about trade duration VOLUME ANALYSIS Volume confirmation adds reliability: • High volume suggests institutional participation • Low volume signals may indicate false breakouts • Volume precedes price in many market theories • Helps distinguish genuine moves from noise ═══════════════════════════════════════════════════════════ TECHNICAL IMPLEMENTATION ═══════════════════════════════════════════════════════════ CODE STRUCTURE • Organized in clear sections with proper commenting • Uses explicit type declarations (int, float, bool, color, string) • Constants defined at top (BULLISH=1, BEARISH=-1, etc.) • Functions documented with @function, @param, @returns • Follows PineCoders naming conventions (camelCase variables) PERFORMANCE OPTIMIZATION • var keyword for table (created once, not every bar) • Calculations cached where possible • Dashboard updates only on last bar • Minimal redundant security() calls SECURITY IMPLEMENTATION • Proper gaps and lookahead parameters • No future data leakage • Signals finalize on bar close • Historical bars remain static ═══════════════════════════════════════════════════════════ VERSION INFORMATION ═══════════════════════════════════════════════════════════ Current Version: 2.0 Pine Script Version: 5 Last Updated: 2024 Developed by: Zakaria Safri ═══════════════════════════════════════════════════════════ SETTINGS REFERENCE ═══════════════════════════════════════════════════════════ EMA SETTINGS • Fast EMA Length: 1-500 (default: 20) • Slow EMA Length: 1-500 (default: 50) VOLUME & MOMENTUM • Use Volume Confirmation: true/false (default: true) • Volume MA Length: 1-500 (default: 20) • Show RSI Levels: true/false (default: true) • RSI Length: 1-500 (default: 14) PRICE ACTION FEATURES • Show Price Distance: true/false (default: true) • Show Key Levels: true/false (default: true) • S/R Lookback Period: 10-500 (default: 50) DISPLAY SETTINGS • Show EMAs on Chart: true/false (default: true) • Fast EMA Color: customizable (default: cyan) • Slow EMA Color: customizable (default: orange) • EMA Line Width: 1-5 (default: 2) • Show Fill Between EMAs: true/false (default: true) • Show Crossover Signals: true/false (default: true) DASHBOARD SETTINGS • Position: Top Left/Right, Bottom Left/Right • Show Extended Statistics: true/false (default: true) ALERT SETTINGS • Alert on Multi-TF Alignment: true/false (default: true) • Alert on Trend Strength Change: true/false (default: true) ═══════════════════════════════════════════════════════════ RISK DISCLAIMER ═══════════════════════════════════════════════════════════ This indicator is provided for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell any security. IMPORTANT NOTICES: • Past performance does not indicate future results • All trading involves risk of capital loss • No indicator guarantees profitable trades • Always conduct independent research and analysis • Use proper risk management and position sizing • Consult a qualified financial advisor before trading • The developer assumes no liability for trading losses By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions. ═══════════════════════════════════════════════════════════ SUPPORT & CONTRIBUTIONS ═══════════════════════════════════════════════════════════ FEEDBACK WELCOME • Constructive comments appreciated • Bug reports help improve the indicator • Feature suggestions considered for future versions • Share your experience to help other users OPEN SOURCE This code is published as open source for the TradingView community to: • Learn from the implementation • Modify for personal use • Understand multi-timeframe analysis techniques If you find this indicator useful, please consider: • Leaving a thoughtful review • Sharing with other traders who might benefit • Following for future updates and releases ═══════════════════════════════════════════════════════════ ADDITIONAL RESOURCES ═══════════════════════════════════════════════════════════ RECOMMENDED READING • TradingView Pine Script documentation • PineCoders community resources • Technical analysis textbooks on moving averages • Multi-timeframe trading strategy guides • Risk management principles RELATED CONCEPTS • Trend following strategies • Moving average convergence/divergence • Multiple timeframe analysis • Volume-price relationships • Momentum indicators ═══════════════════════════════════════════════════════════ Thank you for using this indicator. Trade responsibly and continue learning! ═══════════════════════════════════════════════════════════
Indicador Pine Script®
por zakariasafri47
RSI Breakout Zones█ OVERVIEW “RSI Breakout Zones” is a technical analysis tool that identifies significant zones on the chart based on the Relative Strength Index (RSI). The indicator maps overbought (OB) and oversold (OS) zones using boxes, then extends them until the next zone of the same type is detected, highlighting breakout points to aid in trade entry decisions. These zones often serve as areas of consolidation, support, or resistance. █ CONCEPTS The indicator identifies overbought (above 70) and oversold (below 30) zones, drawing boxes that extend until the next zone of the same type (OB for OB, OS for OS) is detected. Breakout signals are generated when the price crosses the zone boundaries, indicating potential shifts in market momentum. Why are RSI zones important? These zones represent areas of extreme market sentiment, often leading to corrections or reversals. Overbought zones suggest potential selling pressure, while oversold zones indicate buying opportunities. After a breakout, a zone may switch roles, e.g., from support to resistance or vice versa, making it a key element in price action analysis. Larger zones, formed during high volatility, may attract price for retests due to stronger imbalances in buyer/seller dynamics. Consolidation often occurs within these zones as the market seeks equilibrium before further moves. However, in strong trends, zones may be decisively broken without immediate pullbacks, and their significance depends on their position relative to key support and resistance levels. █ FEATURES - RSI Zone Detection: Calculates RSI with a customizable length (default 14) and identifies overbought/oversold zones based on user-defined levels (default 70/30), drawing boxes that dynamically adjust to price action within the zone. - Customizable Boxes: Zones extend until the next zone of the same type is detected. The indicator draws zones with adjustable colors for overbought (red) and oversold (green) areas, with options for box and zone transparency. - Breakout Signals: Generates upward (green triangle) and downward (red triangle) breakout signals when the price crosses the top or bottom of a zone. Signals appear below or above the bar, indicating potential trade entry points. - Midline: Automatically draws a dashed line at the midpoint of each zone, helping traders assess price behavior within the zone and potential halfway retests. - Box Management: Option to remove outdated boxes. - Alerts: Built-in support for alerts on breakout signals, enabling traders to receive notifications for key zone crossings. █ HOW TO USE Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configure Settings: - RSI Settings: Adjust RSI Length (default 14), Overbought Level (default 70), and Oversold Level (default 30) to tailor zone detection sensitivity—higher lengths smooth signals for longer-term analysis. - Box Settings: Configure colors and transparency for overbought (red) and oversold (green) zones, including box transparency (default 90) and zone transparency (default 90). - Signal Settings: Customize breakout signal colors (green for upward, red for downward) and enable/disable keeping boxes after RSI normalization. Interpreting Signals: - Upward Breakout Signal: A green triangle below the bar indicates a breakout, suggesting potential bullish momentum and trend continuation or reversal. - Downward Breakout Signal: A red triangle above the bar indicates a breakout, suggesting potential bearish momentum. - RSI Zones: If the price re-enters a zone after a breakout, it may signal a false breakout or consolidation; persistent zones can act as future support/resistance levels. Consolidation often occurs within these zones as the market seeks equilibrium. - Use signals alongside other technical analysis tools for confirmation, such as moving averages (to confirm trend direction), Fibonacci levels (to identify key price zones), or volume indicators (to validate breakout strength). Analyze RSI zones on higher timeframes for stronger signals due to broader market context. █ APPLICATIONS - Momentum Trading: Use RSI zones as overbought/oversold filters. In an uptrend, look for buying opportunities on upward breakouts, and in a downtrend, on downward breakouts. Combining with MACD crossovers, Fibonacci levels, or pivot points enhances zone significance. - Inter-Zone Trading: Utilize breakouts from one RSI zone and hold the position until reaching the next zone, which may act as a target level or reversal point. █ NOTES - Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize RSI length and levels for your trading style. - For best results, use in trending markets where RSI extremes are more predictive; in ranging markets, additional filters are recommended to reduce false signals. - Always combine with risk management; RSI zones alone do not guarantee reversals, and false breakouts may occur in low-liquidity environments.
Indicador Pine Script®
por Uncle_the_shooter
4
Adaptive Trend 1m ### Overview The "Adaptive Trend Impulse Parallel SL/TP 1m Realistic" strategy is a sophisticated trading system designed specifically for high-volatility markets like cryptocurrencies on 1-minute timeframes. It combines trend-following with momentum filters and adaptive parameters to dynamically adjust to market conditions, ensuring more reliable entries and risk management. This strategy uses SuperTrend for primary trend detection, enhanced by MACD, RSI, Bollinger Bands, and optional volume spikes. It incorporates parallel stop-loss (SL) and multiple take-profit (TP) levels based on ATR, with options for breakeven and trailing stops after the first TP. Optimized for realistic backtesting on short timeframes, it avoids over-optimization by adapting indicators to market speed and efficiency. ### Principles of Operation The strategy operates on the principle of adaptive impulse trading, where entry signals are generated only when multiple conditions align to confirm a strong trend reversal or continuation: 1. **Trend Detection (SuperTrend)**: The core signal comes from an adaptive SuperTrend indicator. It calculates upper and lower bands using ATR (Average True Range) with dynamic periods and multipliers. A buy signal occurs when the price crosses above the lower band (from a downtrend), and a sell signal when it crosses below the upper band (from an uptrend). Adaptation is based on Rate of Change (ROC) to measure market speed, shortening periods in fast markets for quicker responses. 2. **Momentum and Trend Filters**: - **MACD**: Uses adaptive fast and slow lengths. In "Trend Filter" mode (default when "Use MACD Cross" is false), it checks if the MACD line is above/below the signal for long/short. In cross mode, it requires a crossover/crossunder. - **RSI**: Adaptive period RSI must be above 50 for longs and below 50 for shorts, confirming overbought/oversold conditions dynamically. - **Bollinger Bands (BB)**: Depending on the mode ("Midline" by default), it requires the price to be above/below the BB midline for longs/shorts, or a breakout in "Breakout" mode. Deviation adapts to market efficiency. - **Volume Spike Filter** (optional): Entries require volume to exceed an adaptive multiple of its SMA, signaling strong impulse. 3. **Volatility Filter**: Entries are only allowed if current ATR percentage exceeds a historical minimum (adaptive), preventing trades in low-volatility ranges. 4. **Risk Management (Parallel SL/TP)**: - **Stop-Loss**: Set at an adaptive ATR multiple below/above entry for long/short. - **Take-Profits**: Three levels at adaptive ATR multiples, with partial position closures (e.g., 51% at TP1, 25% at TP2, remainder at TP3). - **Post-TP1 Features**: Optional breakeven moves SL to entry after TP1. Trailing SL uses BB midline as a dynamic trail. - All levels are calculated per trade using the ATR at entry, making them "realistic" for 1m charts by widening SL and tightening initial TPs. The strategy enters long on buy signals with all filters met, and short on sell signals. It uses pyramid margin (100% long/short) for full position sizing. Adaptation is driven by: - **Market Speed (normSpeed)**: Based on ROC, tightens multipliers in volatile periods. - **Efficiency Ratio (ER)**: Measures trend strength, adjusting periods for trending vs. ranging markets. This ensures the strategy "adapts" without manual tweaks, reducing false signals in varying conditions. ### Main Advantages - **Adaptability**: Unlike static strategies, parameters dynamically adjust to market volatility and trend strength, improving performance across ranging and trending phases without over-optimization. - **Realistic Risk Management for 1m**: Wider SL and tiered TPs prevent premature stops in noisy short-term charts, while partial profits lock in gains early. Breakeven/trailing options protect profits in extended moves. - **Multi-Filter Confirmation**: Combines trend, momentum, and volume for high-probability entries, reducing whipsaws. The volatility filter avoids flat markets. - **Debug Visualization**: Built-in plots for signals, levels, and component checks (when "Show Debug" is enabled) help users verify logic on charts. - **Efficiency**: Low computational load, suitable for real-time trading on TradingView with alerts. Backtesting shows robust results on volatile assets, with a focus on sustainable risk (e.g., SL at 3x ATR avoids excessive drawdowns). ### Uniqueness What sets this strategy apart is its **fully adaptive framework** integrating multiple indicators with real-time market metrics (ROC for speed, ER for efficiency). Most trend strategies use fixed parameters, leading to poor adaptation; here, every key input (periods, multipliers, deviations) scales dynamically within bounds, creating a "self-tuning" system. The "parallel SL/TP with 1m realism" adds custom handling for micro-timeframes: tightened initial TPs for quick wins and adaptive min-ATR filter to skip low-vol bars. Unlike generic mashups, it justifies the combination—SuperTrend for trend, MACD/RSI/BB for impulse confirmation, volume for conviction—working synergistically to capture "trend impulses" while filtering noise. The post-TP1 breakeven/trailing tied to BB adds a unique profit-locking mechanism not common in open-source scripts. ### Recommended Settings These settings are optimized and recommended for trading ASTER/USDT on Bybit, with 1-minute chart, x10 leverage, and cross margin mode. They provide a balanced risk-reward for this volatile pair: - **Base Inputs**: - Base ATR Period: 10 - Base SuperTrend ATR Multiplier: 2.5 - Base MACD Fast: 8 - Base MACD Slow: 17 - Base MACD Signal: 6 - Base RSI Period: 9 - Base Bollinger Period: 12 - Bollinger Deviation: 1.8 - Base Volume SMA Period: 19 - Base Volume Spike Multiplier: 1.8 - Adaptation Window: 54 - ROC Length: 10 - **TP/SL Settings**: - Use Stop Loss: True - Base SL Multiplier (ATR): 3 - Use Take Profits: True - Base TP1 Multiplier (ATR): 5.5 - Base TP2 Multiplier (ATR): 10.5 - Base TP3 Multiplier (ATR): 19 - TP1 % Position: 51 - TP2 % Position: 25 - Breakeven after TP1: False - Trailing SL after TP1: False - Base Min ATR Filter: 0.001 - Use Volume Spike Filter: True - BB Condition: Midline - Use MACD Cross (false=Trend Filter): True - Show Debug: True For backtesting, use initial capital of 30 USD, base currency USDT, order size 100 USDT, pyramiding 1, commission 0.1%, slippage 0 ticks, long/short margin 0%. Always backtest on your platform and use risk management—risk no more than 1-2% per trade. This is not financial advice; trade at your own risk.
Estrategia Pine Script®
por gopog777
2
saodisengxiaoyu-lianghua-2.1- This indicator is a modular, signal-building framework designed to generate long and short signals by combining a chosen leading indicator with selectable confirmation filters. It runs on Pine Script version 5, overlays directly on price, and is built to be highly configurable so traders can tailor the signal logic to their market, timeframe, and trading style. It includes a dashboard to visualize which conditions are active and whether they validate a signal, and it outputs clear buy/sell labels and alert conditions so you can automate or monitor trades with confidence. Core Design - Leading Indicator: You choose one primary signal generator from a broad list (for example, Range Filter, Supertrend, MACD, RSI, Ichimoku, and many others). This serves as the anchor of the system and determines when a preliminary long or short setup exists. - Confirmation Filters: You can enable additional filters that validate the leading signal before it becomes actionable. Each “respect…” input toggles a filter on or off. These filters include popular tools like EMA, 2/3 EMA crosses, RQK (Nadaraya Watson), ADX/DMI, Bollinger-based oscillators, MACD variations, QQE, Hull, VWAP, Choppiness Index, Damiani Volatility, and more. - Signal Expiry: To avoid waiting indefinitely for confirmations, the indicator counts how many consecutive bars the leading condition holds. If confirmations do not align within a defined number of bars, the setup expires. This controls latency and helps reduce late or stale entries. - Alternating Signals: An optional mode enforces alternation (long must follow short and vice versa), helping avoid repeated entries in the same direction without a meaningful reset. - Aggregation Logic: The final long/short conditions are formed by combining the leading condition with all selected confirmation filters through logical conjunction. Only if all enabled filters validate the signal (within expiry constraints) does the indicator consider it a confirmed long or short. - Visualization and Alerts: The script plots buy/sell labels at signal points, provides alert conditions for automation, and displays a compact dashboard summarizing the leading indicator’s status and each confirmation’s pass/fail result using checkmarks. Leading Indicator Options - The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include: - Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode. - Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction. - Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels. - Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span. - TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts. - Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength. - ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds. - RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends. - Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles. - Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges. Confirmation Filters - Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples: - EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels. - 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment. - RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern. - RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories. - Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade. - VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts. - ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades. - Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup. - By combining several filters you can create strict, conservative entries or looser setups depending on your goals. Range Filter Engine - A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types: - Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges. - Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments. - The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation. Signal Construction - The script computes: - leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator. - longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition. - Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger. - Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset. - Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions. Visualization - Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”). - Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning. - Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals. - Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates. Inputs and Parameters - You control the indicator from a comprehensive input panel: - Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size). - Leading Indicator: Choose the primary signal generator from the large list. - Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior. - Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales. - Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes. Alerts and Automation - The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration. Typical Workflow - Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian. - Add a few key Confirmation Filters that complement the leading signal. For example: - Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum. - Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions. - Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough. - Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly. - Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed. - For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot. Strengths and Practical Notes - Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately. - Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code. - Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset. - Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean. - Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes. Limitations and Recommendations - No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically. - Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime. - Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy. - Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results. Example Configurations - Trend-Following Setup: - Leading: Supertrend uptrend for longs and downtrend for shorts. - Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA. - Expiry: 3–4 bars to keep entries timely. - Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity. - Mean-Reversion to Momentum Crossover: - Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short). - Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation. - Expiry: 2–3 bars for responsive re-entry. - Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes. - Range Breakout Focus: - Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts. - Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold. - Expiry: 1–3 bars to act on breakout windows. - Result: Better alignment to breakout dynamics, gating trades by volatility and regime. Conclusion - This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Estrategia Pine Script®
por saodisengSeven
Market Opens + Killzones — Tokyo, London & New York (Pro)Market Opens + Institutional Killzones — Tokyo, London & New York (Pro) This indicator automatically plots the opening times and Institutional Killzones for the three most important financial centers in the world: Tokyo, London, and New York. Designed for SMC / ICT traders, it provides a precise visual map of when liquidity, volatility, and institutional order flow are most active. 🕓 Sessions Included: Tokyo → Opening Line (09:00 JST) | Killzone 09:00–11:00 JST London → Opening Line (08:00 London) | Killzone 07:00–10:00 London New York → Opening Line (09:30 NY) | Killzone 08:30–10:30 NY London–New York Overlap → 13:30–16:00 London / 08:30–11:00 NY ⚙️ Features: Opening lines for each major market Configurable colors, line styles, and transparencies Optional Killzones (session blocks) for each region Auto-adjusts for Daylight Saving Time (DST) Works on any timeframe and any symbol 💡 Usage: Use it to align your analysis with the times when institutional traders are active — the most likely moments for liquidity grabs, reversals, or true directional moves. Combine with other concepts like Liquidity Pools, Fair Value Gaps, Order Blocks, and Session Bias for maximum precision. © javierpueblamolina — Built for Smart Money Traders.
Indicador Pine Script®
por PueblaATH
Alerts v6The strategy includes: ✅ EMA-based trend direction (fast vs slow) ✅ RSI filtering for overbought/oversold control ✅ ADX confirmation for strong trend validation ✅ Pullback & BOS detection for precision entries ✅ Per-bar change logic for adaptive entry timing ✅ Session/day gating to control trading hours ✅ JSON alert integration for AI trading bots or webhooks This script is Pine Script v6 compatible and optimized for automated alert-based trading setups such as AI trading bots, webhook systems, and VPS-linked executions. Recommended Timeframes: 5m, 15m, 30m Markets: XAUUSD, FX pairs, indices, and metals
Indicador Pine Script®
por mengichronny
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Indicador Pine Script®
por NooJaloon