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PulseRPO Zero-Lag BandsPulseRPO is a momentum and volatility timing suite built on a zero-lag Relative Price Oscillator. It pairs an RPO (fast vs slow MA spread, in %) with adaptive volatility envelopes that tighten or widen as conditions change, so you can spot true momentum bursts, exhaustion and “quiet-before-the-move” squeezes—without the usual MA lag. What it shows Zero-Lag RPO: Choose EMA, SMA, WMA, RMA, HMA or ZLEMA for the base, then apply ZLEMA/DEMA/TEMA/HMA zero-lag smoothing to cut delay. Adaptive Bands: StdDev, ATR, Range or Hybrid volatility; bands auto-tighten in high vol and widen in quiet regimes. Dynamic OB/OS: Levels scale with current regime so extremes mean something even as volatility shifts. Signal & Histogram: Classic signal cross plus histogram for quick read of acceleration vs deceleration. Squeeze Paint: Subtle background highlight when band width compresses below its average. Divergences & Triggers: Optional bullish/bearish divergence tags, plus band-cross and signal-cross alerts out of the box. How to use it (general guide) Momentum entries: Look for RPO crossing up its signal from below or snapping out of a squeeze; extra weight if it also re-enters from below the lower band. Trend continuation: RPO riding outside the upper (or lower) band with rising histogram = power move; trail risk on pullbacks to the signal line. Exhaustion / fades: Taps beyond dynamic OB/OS or band re-entries can mark mean-revert windows—confirm with price/volume. Risk filter: During squeeze, size down and prepare for expansion; after expansion, respect extremes. Tweak the MA type, band method and zero-lag strength to match your timeframe. PulseRPO is designed to be a self-contained read: regime → setup → trigger → alert.
Индикатор Pine Script®
от andrew.gibbs777
SALSA MultiStrategy DashboardSALSA MultiStrategy Dashboard - Comprehensive Technical Analysis Tool 🎯 ORIGINALITY & PURPOSE The SALSA MultiStrategy Dashboard addresses a critical challenge in technical analysis: indicator fragmentation. Unlike simple mashups that merely combine indicators, this tool provides a unified analytical framework that identifies trading confluence across multiple technical methodologies. Unique Value Proposition: Integrated Analysis System: Rather than analyzing isolated signals, SALSA identifies when multiple technical approaches align, providing higher-probability trade setups Cognitive Load Reduction: Consolidates 7+ technical indicators into a single, organized view while maintaining analytical depth Dynamic Market State Detection: Automatically classifies market conditions (ranging vs. trending) and adjusts strategy recommendations accordingly 🔍 TECHNICAL METHODOLOGY Core Component Integration: 1. Squeeze Momentum System Purpose: Identifies market consolidation periods and potential breakout directions Methodology: Combines Bollinger Bands® and Keltner Channels to detect volatility compression Momentum Calculation: Uses linear regression of price relative to dynamic support/resistance levels Original Enhancement: Integrated divergence detection within squeeze momentum signals 2. ADX Trend Strength Analysis Purpose: Quantifies trend strength with customizable threshold levels Methodology: Average Directional Index with configurable key level (default: 23) Original Enhancement: Dynamic color coding based on slope and key level positioning 3. RSI with Multi-Timeframe Divergence Purpose: Momentum analysis with built-in divergence detection Methodology: Traditional RSI with fast/slow period comparison for early momentum shifts Original Enhancement: Integrated bullish/bearish divergence detection with visual alerts 4. Confluence Confirmation Suite Money Flow Index (MFI): Volume-weighted momentum confirmation Stochastic Oscillator: Momentum and overbought/oversold conditions Awesome Oscillator: Market momentum and acceleration MACD: Trend direction and momentum shifts CCI: Cycle identification and extreme level detection ⚙️ HOW COMPONENTS WORK TOGETHER The dashboard creates a hierarchical analysis system: Market State Identification: Squeeze Momentum determines consolidation vs. expansion phases Trend Quality Assessment: ADX evaluates whether trends are trade-worthy Momentum Confirmation: RSI and additional oscillators validate directional bias Confluence Scoring: Multiple confirmations create weighted probability assessments Practical Workflow: Squeeze Release + ADX > 23 + RSI Bullish = High-Probability Long Squeeze Active + ADX < 23 = Range-Bound Strategy Multiple Divergence Alerts + Momentum Shift = Reversal Watch 🎨 USER CUSTOMIZATION FEATURES Comprehensive Color Customization: Squeeze Momentum: 5 customizable colors for different momentum states ADX System: Separate colors for rising/falling ADX and DI lines RSI: Customizable line colors with overbought/oversold highlighting Zero Lines: Configurable reference level colors Flexible Display Options: Toggle individual indicators on/off Adjustable scaling and sensitivity parameters Customizable lookback periods for all components 📊 PRACTICAL APPLICATION Trading Scenarios: Trend Following Setup: Squeeze Momentum shows directional bias ADX confirms trend strength above key level RSI maintains momentum without divergence Additional oscillators align with primary direction Reversal Identification: Squeeze Momentum shows exhaustion Multiple divergence signals across indicators ADX indicates weakening trend strength Confluence of momentum shift signals Range Trading: Squeeze active (consolidation) ADX below key level (lack of trend) Oscillators bouncing between boundaries Focus on mean-reversion strategies 🔧 TECHNICAL IMPLEMENTATION Code Structure: Modular Design: Each component operates independently yet integrates seamlessly Performance Optimized: Efficient calculations suitable for multiple timeframes Real-time Processing: Instant signal updates without repainting Original Algorithms: Enhanced Squeeze Detection: Improved volatility measurement Multi-timeframe Divergence: Simultaneous analysis across different periods Dynamic Scaling System: Automatic adjustment to market conditions 📈 EDUCATIONAL VALUE This indicator serves as an educational framework for: Understanding technical analysis confluence Developing systematic trading approaches Learning how different indicators interact Building disciplined trading habits ⚠️ RISK MANAGEMENT NOTES Not Financial Advice: This tool provides analytical insights, not trading recommendations Multiple Timeframe Analysis: Always confirm signals across different timeframes Risk Management: Use proper position sizing and stop-loss strategies Market Context: Consider fundamental factors and market conditions 🔄 VERSION HISTORY & CONTINUOUS IMPROVEMENT This publication represents the culmination of extensive research and testing. Future updates will focus on: Additional confluence detection methods Enhanced visualization options Performance optimization User-requested features The SALSA MultiStrategy Dashboard represents a significant advancement in technical analysis tools by providing a structured, multi-faceted approach to market analysis that emphasizes confluence and probability assessment over isolated signals.
Индикатор Pine Script®
от CARLOSVIZCARRA17
RSI(14) Divergence — Regular + Hidden + HTF EMA Filter (pro)Title: RSI(14) Divergence — Regular + Hidden + HTF EMA Filter (Scalping Edition) 🔹 Description: This indicator automatically detects RSI(14) divergences — both Regular (Reversal) and Hidden (Continuation) — and plots them directly on the chart for precision scalping and intraday trading. It’s optimized for low timeframes (1-minute) such as Bank Nifty, Nifty 50, and Sensex, where spotting early divergence can help confirm short-term momentum shifts. ⚙️ Core Features: Regular Divergence Detection Bullish Divergence: Price makes a lower low while RSI makes a higher low → potential reversal upward. Bearish Divergence: Price makes a higher high while RSI makes a lower high → potential reversal downward. Hidden Divergence Detection Hidden Bullish Divergence: Price makes a higher low while RSI makes a lower low → continuation of bullish trend. Hidden Bearish Divergence: Price makes a lower high while RSI makes a higher high → continuation of bearish trend. HTF EMA Trend Alignment (Smart Filter) Optional feature that aligns signals with the higher timeframe (HTF) trend using a 200 EMA. Example: Only shows bullish divergences when the 5-minute price is above the 5-minute 200 EMA (uptrend alignment). Helps filter false signals and keeps divergence trading directional. Chart Visualization Regular divergences: Bold solid lines (Green for bullish, Red for bearish). Hidden divergences: Thin dashed lines (Teal for hidden bull, Maroon for hidden bear) — subtle enough to stay unnoticed by casual chart viewers. Optional labels (“Bull Div”, “Bear Div”, etc.) and minimalistic markers for scalping clarity. Option to extend divergence lines for future reference. Custom Alerts (for all divergence types) Get instant alerts when any regular or hidden divergence is detected. Works seamlessly for both long and short bias setups. 📈 Recommended Usage: Timeframe: 1-Minute (Scalping) or 3-Minute (Micro Intraday) Markets: Bank Nifty, Nifty 50, Sensex, or any high-volatility index/stocks Combine With: Higher timeframe structure (H1/H4 bias) Volume spikes or order block retests Key support/resistance zones
Индикатор Pine Script®
от innocentqaleel
Candle Breakdown with Solid Tops/Bottomspreference use 4hr chart for pivots/support resistance/targets to place trades on 1min This Pine Script v5 indicator for TradingView, named "Candle Breakdown with Solid Tops/Bottoms," visually dissects each candlestick into four sections: whole candle (low to high), top wick (body top to high), body (open to close), and bottom wick (low to body bottom). For each section, it plots:Solid horizontal lines (width=2) at the top and bottom (e.g., high/low for whole candle, body top/bottom for body). Dashed horizontal midlines (width=1) at the midpoint of each section (e.g., (high + low)/2 for whole candle). Key features include: Toggles: Enable/disable each section (whole, top wick, body, bottom wick) via checkboxes. Custom Colors: Separate color inputs for top/bottom lines and midlines (defaults: gray, red, blue, green for sections; orange, purple, yellow, teal for midlines). Lookback: User-defined input (default 10 candles) limits lines to the last N candles for clarity. Labels: Optional price labels on the last bar for debugging. The script uses line.new() for dynamic, per-candle lines, ensuring no errors (e.g., no invalid linestyle or linewidth<1). It’s efficient (up to 12 lines/candle, stays under max_lines_count=500) and works on any symbol/timeframe, enhancing swing trading analysis (e.g., for GC1! or NQ1!).
Индикатор Pine Script®
от codywaxler
Candle Breakdown with Solid Tops/BottomsI incorporate this indicator on a 4hr chart and use the previous candle levels as support resistane/ targets/pivots for trades on the 1 min. This Pine Script v5 indicator for TradingView, named "Candle Breakdown with Solid Tops/Bottoms," visually dissects each candlestick into four sections: whole candle (low to high), top wick (body top to high), body (open to close), and bottom wick (low to body bottom). For each section, it plots:Solid horizontal lines (width=2) at the top and bottom (e.g., high/low for whole candle, body top/bottom for body). Dashed horizontal midlines (width=1) at the midpoint of each section (e.g., (high + low)/2 for whole candle). Key features include: Toggles: Enable/disable each section (whole, top wick, body, bottom wick) via checkboxes. Custom Colors: Separate color inputs for top/bottom lines and midlines (defaults: gray, red, blue, green for sections; orange, purple, yellow, teal for midlines). Lookback: User-defined input (default 10 candles) limits lines to the last N candles for clarity. Labels: Optional price labels on the last bar for debugging. The script uses line.new() for dynamic, per-candle lines, ensuring no errors (e.g., no invalid linestyle or linewidth<1). It’s efficient (up to 12 lines/candle, stays under max_lines_count=500) and works on any symbol/timeframe, enhancing swing trading analysis (e.g., for GC1! or NQ1!).
Индикатор Pine Script®
от codywaxler
Trend Strength Detector TSDTrend Strength Detector (TSD) *Objective Trend Quality Measurement for Educational Market Analysis* Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication. ## 🎯 Purpose & Design Philosophy The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"* This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems. ## 🔗 Complementary Research Framework ### Designed to Work With Pattern Detection Systems This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like: - **RMBS Smart Detector - Multi-Factor Momentum System** - Traditional chart pattern analyzers - Any momentum-based pattern identification tools 🔍 **To find RMBS Smart Detector:** - Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"` - Look for: *Multi-Factor Momentum System* - By author: ` ` ### Why This Complementary Approach? **Trend Quality Measurement** (TSD - this tool) provides: - ✅ Structural trend alignment (0-100 score) - ✅ Momentum intensity levels (0-100 score) - ✅ Environment classification (Strong/Moderate/Weak) - 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"* ### Educational Research Value When used together in a research context, these tools enable systematic study of questions like: - How do reversal patterns behave when Strength Score is above 70 vs below 30? - Do continuation patterns in weakening environments (declining scores) show different characteristics? - What is the correlation between high Alignment Scores and pattern "success rates"? - Can environment classification help identify genuine trend initiation vs false starts? ⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent. --- ###Mathematical Foundation ##TSA Formula: scoring method developed by Ario -Trend Model (0 – 100) TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30) EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure. Price Position evaluates if Close is above/below all EMAs. Consistency = 3 × max(bullish,bearish bars within 10 candles). -Strength Model (0 – 100) Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10) ADX measures trend energy; Slope shows EMA momentum %; RSI assesses zone positioning; MACD confirms directional agreement. Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________ 📊 Environment Classification Based on Total Strength Score: 🟢 Strong Environment: Score ≥ 60 → Well-defined momentum, clear directional bias 🟡 Moderate Environment: 40 ≤ Score < 60 → Mixed signals, transitional conditions 🔴 Weak Environment: Score < 40 → Ranging, choppy, low conviction movement Color Coding: • Green background: Strong (≥60) • Yellow background: Moderate (40-59) • Red background: Weak (<40) ________________________________________ 📈 Visual Components Main Chart Display Score Labels (Top-Right Corner): ┌─────────────────────────────────┐ │ 📊 Alignment: 75 | Strength: 82 │ │ Environment: Strong 🟢 │ └─────────────────────────────────┘ Color-Coded Background: • Environment strength visually indicated via background color • Helps quick identification of market regime • Customizable transparency (default: 90%) Reference Lines: • Dotted line at 60: Strong/Moderate threshold • Dotted line at 40: Moderate/Weak threshold • Mid-line at 50: Neutral reference ________________________________________ 🔧 Customization Settings Input Parameters The best setting is the default mode. 🚫 Important Disclaimers & Limitations What This Indicator IS: ✅ Educational measurement tool for trend quality research ✅ Quantitative assessment of current market environment ✅ Complementary analysis tool for pattern-based systems ✅ Historical data analyzer for systematic study ✅ Multi-factor scoring system based on technical calculations What This Indicator IS NOT: ❌ NOT a trading system or signal generator ❌ NOT financial advice or trade recommendations ❌ NOT predictive of future price movements ❌ NOT a guarantee of pattern success/failure ❌ NOT a substitute for comprehensive risk management ________________________________________ Known Limitations 1. Lagging Nature: ⚠️ All components (EMA, ADX, RSI, MACD) are calculated from historical price data → Scores reflect CURRENT and RECENT conditions → Cannot predict sudden reversals or black swan events → Trend measurements lag actual price turning points 2. Whipsaw Risk: ⚠️ In choppy/ranging markets, scores may fluctuate rapidly → Moderate zone (40-60) can see frequent transitions → Low timeframes more susceptible to noise → Consider higher timeframes for stable measurements 3. Component Conflicts: ⚠️ Individual components may disagree → Example: Strong ADX but weak RSI alignment → Scores average these conflicts (may hide nuance) → Check individual components for deeper insight 4. Not Predictive: ⚠️ High scores do NOT guarantee continuation ⚠️ Low scores do NOT guarantee reversal → Measurement ≠ Prediction → Use for CONTEXT, not SIGNALS → Combine with comprehensive analysis ________________________________________ Risk Acknowledgments Market Risk: • All trading involves substantial risk of loss • Past performance (even systematic studies) does not guarantee future results • No indicator, system, or methodology can eliminate market risk Measurement Limitations: • Scores are mathematical calculations, not market predictions • Environmental classification is descriptive, not prescriptive • Strong measurements can deteriorate rapidly without warning Educational Purpose: • This tool is designed for LEARNING about market structure • Not designed, tested, or validated as a standalone trading system • Any trading decisions are user’s sole responsibility No Warranty: • Indicator provided “as-is” for educational purposes • No guarantee of accuracy, reliability, or profitability • Users must verify calculations and apply critical thinking Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.” --- **Attribution & Fair Use Notice** The Trend Strength Detector (TSD) scoring framework (Multi-Factor Momentum System) was originally designed and formulated by *Ahmadrezarahmati( Ario or Ario_ Pine Lab)*. If you build upon, modify, or republish this logic—please include proper attribution to the original author. This request is made under a spirit of open collaboration and educational fairness.
Индикатор Pine Script®
от Ario_pinelab
2
MA Oscillator Map [ChartPrime]⯁ OVERVIEW The MA Oscillator Map transforms moving average deviations into an oscillator framework that highlights overextended price conditions. By normalizing the difference between price and a chosen moving average, the tool maps oscillations between -100 and +100 , with gradient coloring to emphasize bullish and bearish momentum. When the oscillator cools from extreme levels (-100/100), the indicator marks potential reversal points and extends short-term levels from those extremes. A compact side table and dynamic bar coloring make momentum context visible at a glance. ⯁ KEY FEATURES Oscillator Mapping (±100 Scale): Price deviation from the selected MA is normalized into a percentage scale, allowing consistent overbought/oversold readings across assets and timeframes. // MA MA = ma(close, maLengthInput, maTypeInput) diff = src - MA maxVal = ta.highest(math.abs(diff), 50) osc = diff / maxVal * 100 Customizable MA Types: Choose SMA, EMA, SMMA, WMA, or VWMA to fine-tune the smoothing method that powers the oscillator. Extreme Signal Diamonds: When the oscillator retreats from +100 or -100, the script plots diamonds to flag potential exhaustion and reversal zones. Dynamic Levels from Extremes: Upper and lower dotted lines extend from recent overextension points, projecting temporary barriers until broken by price. Gradient Bar Coloring: Candles and oscillator values adopt a bullish-to-bearish gradient, making shifts in momentum instantly visible on the chart. Compact Momentum Map: A table at the chart’s edge plots the oscillator position with a gradient scale and live percentage label for precise momentum tracking. ⯁ USAGE Watch for diamonds after the oscillator exits ±100 — these mark potential exhaustion zones. Use extended dotted levels as short-term reference lines; if broken, trend continuation is favored. Combine gradient bar coloring with oscillator shifts for confirmation of momentum reversals. Experiment with different MA types to adapt sensitivity for trending vs. ranging markets. Use the side momentum table as a quick-read gauge of trend strength in percent terms. ⯁ CONCLUSION The MA Oscillator Map reframes moving average deviations into a visual momentum tracker with extremes, reversal signals, and dynamic levels. By blending oscillator math with intuitive visuals like gradient candles, diamonds, and a live gauge, it helps traders spot overextension, exhaustion, and momentum shifts across any market.
Индикатор Pine Script®
от ChartPrime
9
🚀 DocBrown V73++ EstrategiaStrategy Overview The "DocBrown V73+ Unified Strategy" is a complex and multifaceted algorithmic trading system designed to operate in trending markets. Its core strategy is following the main trend, but its main strength lies in the numerous risk management modules and market filters it uses to protect capital and optimize trade exits. The strategy combines classic trend indicators (EMAs, MACD, ADX) with volatility analysis (Bollinger Band Width) and volume to identify high-probability entry points. However, its most distinctive feature is its sophisticated exit system, which includes multiple Stop Loss (SL) and Take Profit (TP) types that adapt to various market conditions. Entry Logic To open a position (long or short), the strategy evaluates a set of conditions. The main entry is based on: Market Regime Filter: This is a master filter that ensures trading is only carried out in favorable trend conditions. To do this, it simultaneously requires: A minimum ADX to confirm the strength of the trend. A minimum Bollinger Band Width (BBW) to ensure sufficient volatility. A minimum slope in the slow EMA to confirm the market's direction. EMA Alignment: Uses three Exponential Moving Averages (fast, medium, and slow). A long entry requires the fast EMA to be above the average, and the average above the slow EMA. For a short entry, the condition is the reverse. Momentum Confirmation: The MACD must be crossed in the direction of the trade (the MACD line must be above the signal line for longs, and vice versa for shorts). Volume Filter: The volume of the current candle must exceed a minimum ratio compared to its moving average to avoid signals of low market interest. Trend Exhaustion Filter: Prevents new entries if the ADX, after reaching a very high peak, begins to decline, suggesting that the trend may be losing strength. It also includes an alternative entry condition based on a "3-Candle Momentum," which looks for three consecutive candles in the same direction with progressively increasing volume, signaling a possible explosive move. Risk Management and Exit Strategies This is the most complex and robust part of the strategy, with multiple defense and profit-taking mechanisms: Take Profit (TP) Dynamic TP (Enabled by default): Instead of a fixed target, the strategy calculates the TP based on the nearest support and resistance levels. For a long position, it will look for the next resistance, and for a short position, the next support. Trailing After a Breakout: If the price breaks an S&R level and the trade continues in favor, the strategy can move the SL to that broken level and recalculate a new TP target. Stop Loss (SL) and Defensive Closes The strategy features an arsenal of different types of Stop Losses for different situations: Breakeven SL: Once the trade reaches a predefined profit percentage, the SL automatically moves to the entry price plus a small buffer to cover commissions. This ensures that a winning trade doesn't turn into a losing one. Safety Bracket (Anti-Liquidation): This is an "emergency stop" that can be activated to prevent catastrophic losses. It is calculated based on the ATR or a fixed percentage of the price. Adverse Volume Spike SL: Closes the position if a candle appears against the trade with abnormally high volume, which may indicate a violent reversal. Consecutive Candle SL: If a certain number of candles (for example, 3.5) form in a row against the position, the strategy closes the trade to cut the loss. Stagnant Stop: Closes the trade if it enters a loss and the price then remains sideways (without movement) for a defined number of bars, avoiding being trapped in a directionless position. Derivative Stop (Anti-Trend and Counter-Trend): An advanced system that monitors price momentum and acceleration. If it detects that the price begins to move sharply against the trend after accumulating a certain amount of profit, it closes the position to protect profits. Drawdown Stop (Loss): A special trailing stop that is only activated while the trade is in a loss. If the price attempts to recover but then falls again, this Stop is adjusted to minimize the loss from the peak of that small recovery. Counter-Trend SL (BB-CT): Closes the position if, despite being in profit, the market shows clear signs of a trend reversal, such as the price returning within the Bollinger Bands and the MACD crossing against it. Additional Features Multi-Timeframe (MTF) Analysis: The strategy can run on a single chart (e.g., 1-minute) but makes all its decisions based on data from a longer timeframe (e.g., 5 or 15 minutes), allowing it to filter out market noise. Frequency Control: Includes options to limit trades to one per candle and to set a cooldown period after closing a trade, preventing overtrading. Date Filter: Allows backtesting over a specific timeframe. Information Panel: Displays key data such as the strategy status, current TP/SL levels, unrealized profits (MFE), and the status of internal signals in real time on the chart. Full Display: Draws S&R levels, EMAs, Bollinger Bands, and active entry, TP, and SL levels on the chart. IMPORTANT: Use in Isolated Leverage x5 (limit), start small and test tokens before jumping in. DONATIONS: Token: USDT - Network: BSC Binance Smart Chain Wallet: 0xe87b4589a53443d8ffed2e9b5a7ef58f261f087c
Стратегия Pine Script®
от neurodoc
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients. The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves. Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price. The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation. The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it. Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa. The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail. One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries. From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions. What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
Индикатор Pine Script®
от The_Peaceful_Lizard
5
Bitgak [Osprey]🟠 INTRODUCTION Bitgak , translated as "Oblique Angle" in Korean, is a strategy used by multi-hundred-million traders in Korea, sometimes more heavily than Fibonacci retracement. It is a concept that by connecting two or more pivot points on the chart and creating equidistant parallel lines, we can spot other pivot points. As seen in the example, a line at a different height but with the same angle spots many pivot points. This indicator spots pivot points on the chart and tests all different possible Bitgak lines with a brute-force method. Then it shows the parallel line configuration with the most pivots hitting it. You may use the lines drawn on the chart as possible reversal points. It is best to use on Day and Week candles . In the very short range of time, the noise makes it hard to capture meaningful data. 🟠 HOW TO USE The orange dots are the major pivot points (you can set the period of the long-term pivot) upon which the lines are built. Change the "Manual Lookback Bars" from 300 to a meaningful period upon your inspection. "Hit Tolerance %" means how close a pivot needs to be to the line to be considered as having touched the line. If the line is too narrow, which is not very useful, you may consider increasing the "Long-term Pivot Bars" and experimenting with different settings for Channel Lines and Heuristics. The result: "Top Anchors to Test (L)" is how many L highest peaks and L lowest troughs should be weighed heavily when testing the lines. That is, with L = 1, the algorithm will reward the Bitgak lines that touch 1 highest peak and 1 lowest trough. It doesn't make much intuitive sense, so I suggest just testing it out. 🟠 HOW IT WORKS Step 1: Pivot Detection The indicator runs two parallel detection systems: Short-term pivots (default: 7 bars on each side) - Captures minor swing highs/lows for detailed analysis Long-term pivots (default: 17 bars on each side) - Identifies major structural turning points These pivots form the foundation for all channel calculations. Step 2: Anchor Point Selection From the detected long-term pivots, the algorithm identifies: The L highest peaks (default L=1, meaning the single highest peak) The L lowest troughs (default L=1, meaning the single lowest trough) These become potential "anchor points" for channel construction. Higher L values test more combinations but increase computation time. Step 3: Channel Candidate Generation For support channels: Every pair of troughs becomes a potential base line (A-B) For resistance channels: Every pair of peaks becomes a potential base line (A-B) The algorithm then tests each peak (for support) or trough (for resistance) as pivot C. Step 4: Optimal Spacing Calculation For each A-B-C combination, the algorithm calculates: Unit Spacing = (Distance from C to A-B line) / Multiplier It tests multipliers from 0.5 to 4.0 (or your custom range), asking: "If pivot C sits on the 1.0 line, what spacing makes the most pivots hit other lines?" Step 5: Scoring & Selection Each configuration is scored by counting how many pivots fall within tolerance (default 1% of price) of any parallel line in the range . The highest-scoring channel is drawn on your chart.
Индикатор Pine Script®
от osprey0
4
Scalper Pro Pattern Recognition & Price ActionOVERVIEW Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies. ORIGINALITY & PURPOSE What Makes This Script Original This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets. The unique value proposition: Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation Why Combine These Specific Components Each component addresses a specific weakness in scalping: SuperTrend provides the primary directional bias but can generate false signals in ranging markets Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives ADX Analysis prevents trading during low-volatility consolidation when most indicators fail SMC Elements identify institutional activity zones where price is likely to react strongly ATR-Based Risk Management adapts position sizing to current volatility conditions The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches. HOW IT WORKS Core Calculation Methodology 1. SuperTrend Signal Generation The script uses a modified SuperTrend algorithm with the following calculation: ATR = Average True Range (default: 10 periods) Factor = 7 (default sensitivity multiplier) Upper Band = Source + (Factor × ATR) Lower Band = Source - (Factor × ATR) Directional Logic: When price crosses above SuperTrend → Bullish signal When price crosses below SuperTrend → Bearish signal SuperTrend value is plotted as dynamic support/resistance Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation. 2. Range Filter System (Cirrus Cloud) The Range Filter uses a smoothed range calculation to filter out market noise: Smooth Range Calculation: WPER = (Period × 2) - 1 AVRNG = EMA(|Price - Price |, Period) Smooth Range = EMA(AVRNG, WPER) × Multiplier Two-Layer System: Layer 1: 22-period with 6x multiplier (broader trend) Layer 2: 15-period with 5x multiplier (tighter price action) Visual Output: The space between these two filters is colored: Green fill = Bullish trend (Layer 1 > Layer 2) Red fill = Bearish trend (Layer 1 < Layer 2) This creates a "cloud" that expands during strong trends and contracts during consolidation. 3. ADX Market Regime Detection Calculation: +DM = Positive Directional Movement -DM = Negative Directional Movement True Range = RMA of True Range (15 periods) +DI = 100 × RMA(+DM, 15) / True Range -DI = 100 × RMA(-DM, 15) / True Range ADX = 100 × RMA(|+DI - -DI| / (+DI + -DI), 15) Threshold System: ADX < Threshold (default 15) = Ranging market → Bar color changes to purple ADX > Threshold = Trending market → Normal bar coloring applies Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws. 4. Smart Money Concepts (SMC) Integration Order Blocks (OB): Identified using swing high/low detection with customizable pivot length Bullish OB: Last down-close candle before bullish Break of Structure (BOS) Bearish OB: Last up-close candle before bearish BOS Extended forward until price breaks through them Fair Value Gaps (FVG): Detected when a three-candle gap exists: Bullish FVG: Low > High Bearish FVG: High < Low Filtered by price delta percentage to ensure significant gaps Displayed as boxes that delete when price fills the gap Break of Structure (BOS) vs. Change of Character (CHoCH): BOS = Price breaks the previous structural high/low in the current trend direction CHoCH = Price breaks structure in the opposite direction (potential trend reversal) Both internal (minor) and swing (major) structures are tracked Equal Highs/Lows (EQH/EQL): Detected when consecutive swing highs/lows are within ATR threshold Often indicates liquidity pools that price may sweep before reversing 5. ATR-Based Risk Management Calculation: ATR Band = ATR(14) × Risk Multiplier (default 3%) Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts) Take Profit Levels: TP1 = Entry + (Entry - Stop Loss) × 1 TP2 = Entry + (Entry - Stop Loss) × 2 TP3 = Entry + (Entry - Stop Loss) × 3 Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger. 6. Hull Moving Average Trend Cloud HMA = WMA(2 × WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period)) Period = 600 bars (long-term trend) The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise. HOW TO USE THE INDICATOR Entry Signals Primary Buy Signal: SuperTrend changes to green (price crosses above) ADX shows market is NOT ranging (bars are NOT purple) Price is within or near a bullish Order Block OR bullish FVG Cirrus Cloud shows green fill (Layer 1 > Layer 2) Primary Sell Signal: SuperTrend changes to red (price crosses below) ADX shows market is NOT ranging Price is within or near a bearish Order Block OR bearish FVG Cirrus Cloud shows red fill (Layer 1 < Layer 2) Confirmation Layers Higher Probability Trades Include: Bullish/Bearish BOS in the same direction as signal Equal highs/lows being swept before entry Price respecting premium/discount zones (above/below equilibrium) Multiple timeframe alignment (use MTF settings) Exit Strategy The indicator provides three take-profit levels: TP1: Conservative target (1:1 risk-reward) TP2: Moderate target (2:1 risk-reward) TP3: Aggressive target (3:1 risk-reward) Suggested Exit Approach: Close 1/3 position at TP1 Move stop to breakeven Close 1/3 position at TP2 Trail remaining position or exit at TP3 Risk Management Stop Loss: Use the ATR-based stop loss level displayed on chart Alternatively, use percentage-based stop (adjustable in settings) Never risk more than 1-2% of account per trade Position Sizing: Position Size = (Account Risk $) / (Entry Price - Stop Loss Price) CUSTOMIZABLE SETTINGS Core Parameters Buy/Sell Signals: Toggle signals on/off Adjust SuperTrend sensitivity (0.5 - 2.0) Risk Management: Show/hide TP/SL levels ATR period (default: 14) Risk percentage (default: 3%) Number of decimal places for price labels Trend Features: Cirrus Cloud display toggle Range filter periods (x1, x2, x3, x4) Hull MA length for trend cloud Smart Money Concepts: Order Block settings (swing length, display count) Fair Value Gap parameters (auto-threshold, extend length) Structure detection (internal vs swing) EQH/EQL threshold ADX Settings: ADX length (default: 15) Sideways threshold (10-30, default: 15) Bar color toggle Display Options: Previous day/week/month high/low levels Premium/Discount/Equilibrium zones Trend candle coloring (colored or monochrome) BEST PRACTICES & TRADING TIPS Optimal Use Cases Scalping on lower timeframes (1m, 5m, 15m) Rapid entry/exit with clear TP levels ADX filter prevents choppy market entries Day trading on medium timeframes (30m, 1H) Stronger trend confirmation Better risk-reward ratios Swing trading entries on higher timeframes (4H, Daily) Higher-probability structural setups Larger ATR-based stops accommodate volatility Market Conditions Best Performance: Trending markets with clear directional bias Post-news volatility with defined structure Markets respecting support/resistance levels Avoid Trading When: ADX indicator shows purple bars (ranging market) Multiple conflicting signals across timeframes Major news events without clear price structure Low volume periods (market open/close) Common Mistakes to Avoid Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws Not waiting for confirmation - Enter only when multiple layers align Overtrading - Fewer high-quality setups outperform many mediocre ones Ignoring risk management - Always use the calculated stop losses Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction TECHNICAL SPECIFICATIONS Indicator Type: Overlay (plots on price chart) Calculation Resources: Max labels: 500 Max lines: 500 Max boxes: 500 Max bars back: 500 Pine Script Version: 5 Compatible Timeframes: All timeframes (optimized for 1m to 1D) Compatible Instruments: Forex pairs Crypto assets Stock indices Individual stocks Commodities THEORETICAL FOUNDATION Trend-Following Concepts This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks. Smart Money Theory The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of: Order Blocks: Areas where large orders were placed Fair Value Gaps: Inefficient price movements that may be revisited Liquidity Sweeps: Stop hunts before continuation (EQH/EQL) Volatility-Based Position Sizing Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions: Tight stops in low volatility (avoids excessive risk) Wider stops in high volatility (avoids premature stop-outs) PERFORMANCE EXPECTATIONS Realistic Expectations Win Rate: Expected: 45-55% (trend-following systems rarely exceed 60%) Higher win rates on trending days Lower win rates during consolidation (even with ADX filter) Risk-Reward Ratio: Target: 1.5:1 minimum (TP2) Achievable: 2:1 to 3:1 on strong trends Drawdowns: Normal: 10-15% of account during choppy periods Maximum: Should not exceed 20% with proper risk management Optimization Tips Backtesting Recommendations: Test on at least 1 year of historical data Include different market conditions (trending, ranging, volatile) Adjust SuperTrend sensitivity per instrument Optimize ADX threshold for your specific market Record trades to identify personal execution errors FREQUENTLY ASKED QUESTIONS Q: Can I use this for automated trading? A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots. Q: Why do I see conflicting signals? A: This is normal during transition periods. Wait for all confirmation layers to align before entering. Q: How often should I expect signals? A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session. Q: Can I use only some features? A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active. Q: What's the difference between internal and swing structures? A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation. DISCLAIMER This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always: Use proper risk management Test on demo accounts first Never risk more than you can afford to lose Combine with fundamental analysis when applicable Understand that no indicator is 100% accurate License: Mozilla Public License 2.0 Author: DrFXGOD VERSION HISTORY & UPDATES Initial Release - Version 1.0 Integrated SuperTrend, Range Filters, ADX, SMC concepts ATR-based risk management Multi-timeframe support Customizable visual elements SUPPORT & DOCUMENTATION For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView. Additional Resources: Smart Money Concepts: Research ICT (Inner Circle Trader) materials ATR and Volatility: Refer to Wilder's original ATR documentation SuperTrend Indicator: Study original SuperTrend strategy papers
Индикатор Pine Script®
от Heuchache
6