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Global Bond Yields Monitor [MarktQuant]Global Bond Yields Monitor The Global Bond Yields Monitor is designed to help users track and compare government bond yields across major economies. It provides an at-a-glance view of short- and long-term interest rates for multiple countries, enabling users to observe shifts in global fixed-income markets. Key Features: Multi-Country Coverage: Includes major advanced and emerging economies such as the United States, China, Japan, Germany, United Kingdom, Canada, Australia, and more. Multiple Maturities: Displays yields for the 2-year, 5-year, 10-year, and 30-year maturities (20-year for Russia). Dynamic Yield Data: Plots real-time yields for the selected country directly from TradingView’s data sources. Weekly Change Tracking: Calculates and displays the yield change from one week ago ( ) for each maturity. Table Visualization: Option to display a compact data table showing current yields and weekly changes, color-coded for easier interpretation. Visual Yield Curve Comparison: Plots yield lines for short- and long-term maturities, with shaded areas between curves for visual clarity. Customizable Display: Choose table placement and whether to show or hide the weekly change table. Use Cases This script is intended for analysts, traders, and investors who want to monitor shifts in sovereign bond markets. Changes in yields can reflect adjustments in monetary policy expectations, inflation outlook, or broader macroeconomic trends. ❗Important Note❗ This indicator is for market monitoring and educational purposes only. It does not generate trading signals, and it should not be interpreted as financial advice. All data is sourced from TradingView’s available market feeds, and accuracy may depend on the source data.
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MarktQuant tarafından
Quant Signals: Market Sentiment Monitor HUDWavelets & Scale Spectrum This indicator is ideal for traders who adapt their strategy to market conditions — such as swing traders, intraday traders, and system developers. Trend-followers can use it to confirm trending conditions before entering. Mean-reversion traders can spot choppy markets where reversals are more likely. Risk managers can monitor volatility shifts and regime changes to adjust position size or pause trading. It works best as a market context filter — telling you the “weather” before you decide on the trade. Wavelets are like tiny “measuring rulers” for price changes. Instead of looking at the whole chart at once, a wavelet looks at differences in price over a specific time scale — for example, 2 bars, 4 bars, 8 bars, and so on. The scale spectrum is what you get when you measure volatility at several of these scales and then plot them against scale size. If the spectrum forms a straight line on a log–log chart, it means price changes follow a consistent pattern across time scales (a power-law relationship). The slope of that line gives the Hurst exponent (H) — telling you whether moves tend to persist (trend) or reverse (mean-revert). The height of the line gives you the volatility (σ) — the average size of moves. This approach works like a microscope, revealing whether the market’s behaviour is consistent across short-term and long-term horizons, and when that behaviour changes. This tool applies a wavelet-based scale-spectrum analysis to price data to estimate three key market state measures inside a rolling window: Hurst exponent (H) — measures persistence in price moves: H > ~0.55 → market is trending (moves tend to continue). H < ~0.45 → market is choppy/mean-reverting (moves tend to reverse). Values near 0.5 indicate a neutral, random-walk-like regime. Volatility (σ) — the average size of price swings at your chart’s timeframe, optionally annualized. Rising volatility means larger price moves, falling volatility means smaller moves. Fit residual — how well the observed multi-scale volatility fits a clean power-law line. Low residual = stable behaviour; high residual = structural change (possible regime shift).
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Faduzzle tarafından
Defense Mode Dashboard ProWhat it is A one‑look market regime dashboard for ES, NQ, YM, RTY, and SPY that tells you when to play defense, when you might have an offense cue, and when to chill. It blends VIX, VIX term structure, ATR 5 over 60, and session gap signals with clean alerts and a compact table you can park anywhere. Why traders like it Because it filters out the noise. Regime first, tactics second. You avoid trading size into landmines and lean in when volatility cooperates. What it measures Volatility stress with VIX level and VIX vs 20‑SMA Term structure using VX1 vs VX2 with two modes Diff mode: VX1 minus VX2 Ratio mode: VX1 divided by VX2 Realized volatility using ATR5 over ATR60 with optional smoothing Session risk from RTH opening gaps and overnight range, normalized by ATR How to use in 30 seconds Pick a preset in the inputs. ES, NQ, YM, RTY, SPY are ready. Leave thresholds at defaults to start. Add one TradingView alert using “Any alert() function call”. Trade smaller or stand aside when the header reads DEFENSE ON. Consider leaning in only when you see OFFENSE CUE and your playbook agrees. Defaults we recommend VIX triggers: 22 and 1.25× the 20‑SMA Term mode: Diff with tolerance 0.00. Use Ratio at 1.00+ for choppier markets ATR 5/60 defense: 1.25. Offense cue: 0.85 or lower ATR smoothing: 1. Try 2 to 3 if you want fewer flips Gap mode: RTH. Turn Both on if you want ON range to count too RTH wild gap: 0.60× ATR5. ON wild range: 0.80× ATR5 Alert cadence: Once per RTH session Snooze: Quick snooze first 30 minutes on. Fire on snooze exit off, unless you really want the catch‑up ping New since the last description Multi‑asset presets set symbols and RTH windows for ES, NQ, YM, RTY, SPY Term ratio mode with near‑flat warning when ratio is between 1.00 and your trigger ATR smoothing for the 5 over 60 ratio RTH keying for cadence, so “Once per RTH session” behaves like a trader expects Snooze upgrades with quick snooze tied to the first N minutes of RTH and an optional fire‑on‑snooze‑exit Compact title merge and user color controls for labels, values, borders, and background Exposed series for integrations: DefenseOn(1=yes) and OffenseCue(1=yes) Debug toggle to visualize gap points, ON range, and term readings Stronger NA handling with a clear “No core data” row when feeds are missing Notes Dynamic alerts require “Any alert() function call”. Works on any chart timeframe. Daily reads and 1‑minute anchors handle the regime logic.
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Uplift32 tarafından
Return Volatility (σ) — auto-annualized [v6]Overview This indicator calculates and visualizes the return-based volatility (standard deviation) of any asset, automatically adjusting for your chart's timeframe to provide both absolute and annualized volatility values. It’s designed for traders who want to filter trades, adjust position sizing, and detect volatility events based on statistically significant changes in market activity. Key Features Absolute Volatility (abs σ%) – Standard deviation of returns for the current timeframe (e.g., 1H, 4H, 1D). Annualized Volatility (ann σ%) – Converts abs σ% into an annualized figure for easier cross-timeframe and cross-asset comparison. Relative Volatility (rel σ) – Ratio of current volatility to the long-term average (default: 120 periods). Z-Score – Number of standard deviations the current volatility is above or below its historical average. Auto-Timeframe Adjustment – Detects your chart’s bar size (seconds per bar) and calculates bars/year automatically for crypto’s 24/7 market. Highlight Mode – Optional yellow background when volatility exceeds set thresholds (rel σ ≥ threshold OR z-score ≥ threshold). Alert Conditions – Alerts trigger when relative volatility or z-score exceed defined limits. How It Works Return Calculation Log returns: ln(Pt / Pt-1) (default) or Simple returns: (Pt / Pt-1) – 1 Volatility Measurement Standard deviation of returns over the lookback period N (default: 20 bars). Absolute volatility = σ × 100 (% per bar). Annualization Uses: σₐₙₙ = σ × √(bars/year) × 100 (%) Bars/year auto-calculated based on timeframe: 1H = 8,760 bars/year 4H ≈ 2,190 bars/year 1D = 365 bars/year Relative and Statistical Context Relative σ = Current σ / Historical average σ (baseLen, default: 120) Z-score = (Current σ – Historical average σ) / Std. dev. of σ over baseLen Trading Applications Volatility Filter – Only allow trade entries when volatility exceeds historical norms (trend traders often benefit from this). Risk Management – Reduce position size during high volatility spikes to manage risk; increase size in low-volatility trending environments. Market Scanning – Identify assets with the highest relative volatility for momentum or breakout strategies. Event Detection – Highlight significant volatility surges that may precede large moves. Suggested Settings Lookback (N): 20 bars for short/medium-term trading. Base Length (M): 120 bars to establish long-term volatility baseline. Relative Threshold: 1.5× baseline σ. Z-score Threshold: ≥ 2.0 for statistically significant volatility shifts. Use Log Returns: Recommended for more consistent scaling across prices. Notes & Limitations Volatility measures movement magnitude, not direction. Combine with trend or momentum filters for directional bias. Very low volatility may still produce false breakouts; combine with volume and market structure analysis. Crypto markets trade 24/7 — annualization assumes no market closures; adjust for other asset classes if needed. 💡 Best Practice: Use this indicator as a pre-trade filter for breakout or trend-following strategies, or as a risk control overlay in mean-reversion systems.
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owwmyG0d tarafından
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context. 🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision. // Gate Keeper: ADX determines market type is_trending = adx_value > adx_trend_threshold is_ranging = adx_value <= adx_trend_threshold is_maximum_chop = adx_value <= adx_chop_threshold // BULL CONDITIONS with Structure Veto if price_above_ema and di_bullish if use_structure_filter and isBullStructure raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure else if use_structure_filter and not isBullStructure raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure 🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups. 🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework. // Define Market Structure (Bull = HH/HL, Bear = LL/LH) isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and not na(last_significant_low) and not na(prev_significant_low) and last_significant_high > prev_significant_high and last_significant_low > prev_significant_low isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and not na(last_significant_low) and not na(prev_significant_low) and last_significant_low < prev_significant_low and last_significant_high < prev_significant_high 🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations. 🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events. // === CRASH OVERRIDE (Active Penalties) === is_crash = roc_value < crash_threshold if is_crash // Calculate crash severity crash_severity = math.abs(roc_value / crash_threshold) crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0 // ACTIVE PENALTIES: Force bear dominance raw_bearScore := math.max(raw_bearScore, crash_bonus) raw_bullScore := -5.0 // ACTIVE PENALTY raw_chopScore := -5.0 // ACTIVE PENALTY ❓How It Works 🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods. 🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification. 🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency. 🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information. 🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth. Why Choose Market Regime Matrix ? The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
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AlphaExtract tarafından
Dynamic Swing Anchored VWAP (Zeiierman)█ Overview Dynamic Swing Anchored VWAP (Zeiierman) is a price–volume tool that anchors VWAP at fresh swing highs/lows and then adapts its responsiveness as conditions change. Instead of one static VWAP that drifts away over time, this indicator re-anchors at meaningful structure points (swings). It computes a decayed, volume-weighted average that can speed up in volatile markets and slow down during quiet periods. Blending swing structure with an adaptive VWAP engine creates a fair-value path that stays aligned with current price behavior, making retests, pullbacks, and mean reversion opportunities easier to spot and trade. █ How It Works ⚪ Swing Anchor Engine The script scans for swing highs/lows using your Swing Period. When market direction flips (new pivot confirmed), the indicator anchors a new VWAP at that pivot and starts tracking from there. ⚪ Adaptive VWAP Core From each anchor , VWAP is computed using a decay model (recent price×volume matters more; older data matters less). Adaptive Price Tracking lets you set the base responsiveness in “bars.” Lower = more reactive, higher = smoother. Volatility Adjustment (ATR vs Avg ATR) can automatically speed up the VWAP during spikes and slow it during compression, so the line stays relevant to live conditions. █ Why This Adaptive Approach Beats a Simple VWAP Standard VWAP is cumulative from the anchor point. As time passes and volume accumulates, it often drifts far from current price, especially in prolonged trends or multi-session moves. That drift makes retests rare and unreliable. Dynamic Swing Anchored VWAP solves this in two ways: ⚪ Event-Driven Anchoring (Swings): By restarting at fresh swing highs/lows, the VWAP reference reflects today’s structure. You get frequent, meaningful retests because the anchor stays near the action. ⚪ Adaptive Responsiveness (Volatility-Aware): Markets don’t move at one speed. When volatility expands, a fixed VWAP lags; when volatility contracts, it can overreact to noise. Here, the “tracking speed” can auto-adjust using ATR vs its average. High Volatility → faster tracking: VWAP hugs price more tightly, preserving retest relevance. Low Volatility → smoother tracking: VWAP filters chop and stays stable. Result: A VWAP that follows price more accurately, creating plenty of credible retest opportunities and more trustworthy mean-reversion/continuation reads than a simple, ever-growing VWAP. █ How to Use ⚪ S wing-Aware Fair Value Use the VWAP as a dynamic fair-value guide that restarts at key structural pivots. Pullbacks to the VWAP after impulsive moves often provide retest entries. ⚪ Trend Trading In trends, the adaptive VWAP will ride closer to price, offering continuation pullbacks. █ Settings Swing Period: Number of bars to confirm swing highs/lows. Larger = bigger, cleaner pivots (slower); smaller = more frequent pivots (noisier). Adaptive Price Tracking: Sets the base reaction speed (in bars). Lower = faster, tighter to price; higher = smoother, slower. Adapt APT by ATR ratio: When ON, the tracking speed auto-adjusts with market volatility (ATR vs its own average). High vol → faster; low vol → calmer. Volatility Bias: Controls how strongly volatility affects the speed. >1 = stronger effect; <1 = lighter touch. ----------------- 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.
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Zeiierman tarafından
57
ATR+CCI Monetary Risk Tool - TP/SL⚙️ ATR+CCI Monetary Risk Tool — Volatility-aware TP/SL & Position Sizing Exact prices (no rounding), ATR-percentile dynamic stops, and risk-budget sizing for consistent execution. 🧠 What this indicator is A risk-first planning tool. It doesn’t generate orders; it gives you clean, objective levels (Entry, SL, TP) and position size derived from your risk budget. It shows only the latest setup to keep charts readable, and a compact on-chart table summarizing the numbers you actually act on. ✨ What makes it different Dynamic SL by regime (ATR percentile): Instead of a fixed multiple, the SL multiplier adapts to the current volatility percentile (low / medium / high). That helps avoid tight stops in noisy markets and over-wide stops in quiet markets. Risk budgeting, not guesswork: Size is computed from Account Balance × Max Risk % divided by SL distance × point value. You risk the same dollars across assets/timeframes. Precision that matches your instrument: Entry, TP, SL, and SL Distance are displayed as exact prices (no rounding), truncated to syminfo.mintick so they align with broker/exchange precision. Symbol-aware point value: Uses syminfo.pointvalue so you don’t maintain tick tables. Non-repaint option: Work from closed bars to keep the plan stable. 🔧 How to use (quick start) Add to chart and pick your timeframe and symbol. In settings: Set Account Balance (USD) and Max Risk per Trade (%). Choose R:R (1:1 … 1:5). Pick ATR Period and CCI Period (defaults are sensible). Keep Dynamic ATR ON to adapt SL by regime. Keep Use closed-bar values ON to avoid repaint when planning. Read the labels (Entry/TP/SL) and the table (SL Distance, Position Size, Max USD Risk, ATR Percentile, effective SL Mult). Combine with your entry trigger (price action, levels, momentum, etc.). This indicator handles risk & targets. 📐 How levels are computed Bias: CCI ≥ 0 ⇒ long, otherwise short. ATR Percentile: Percent rank of ATR(atrPeriod) over a lookback window. Effective SL Mult: If percentile < Low threshold ⇒ use Low SL Mult (tighter). If between thresholds ⇒ use Base SL Mult. If percentile > High threshold ⇒ use High SL Mult (wider). Stop-Loss: SL = Entry ± ATR × SL_Mult (minus for long, plus for short). Take-Profit: TP = Entry ± (Entry − SL) × R (R from the R:R dropdown). Position Size: USD Risk = Balance × Risk% Contracts = USD Risk ÷ (|Entry − SL| × PointValue) For futures, quantity is floored to whole contracts. Exact prices: Entry/TP/SL and SL Distance are not rounded; they’re truncated to mintick so what you see matches valid price increments. 📊 What you’ll see on chart Latest Entry (blue), TP (green), SL (red) with labels (optional emojis: ➡️ 🎯 🛑). Info Table with: Bias, Entry, TP, SL (exact, truncated to mintick) SL Distance (exact, truncated) Position Size (contracts/units) Max USD Risk Point Value ATR Percentile and effective SL Mult 🧪 Practical examples High-volatility session (e.g., XAUUSD, 1H): ATR percentile is high ⇒ wider SL, smaller size. Reduces churn from normal noise during macro events. Range-bound market (e.g., EURUSD, 4H): ATR percentile low ⇒ tighter SL, better R:R. Helps you avoid carrying unnecessary risk. Index swing planning (e.g., ES1!, Daily): Non-repaint levels + risk budgeting = consistent sizing across days/weeks, easier to review and journal. 🧭 Why traders should use it Consistency: Same dollar risk regardless of instrument or volatility regime. Clarity: One-trade view forces focus; you see the numbers that matter. Adaptivity: Stops calibrated to the market’s current behavior, not last month’s. Discipline: A visible checklist (SL distance, size, USD risk) before you hit buy/sell. 🔧 Input guide (practical defaults) CCI Period: 100 by default; use as a bias filter, not an entry signal. ATR Period: 14 by default; raise for smoother, lower for more reactive. ATR Percentile Lookback: 200 by default (stable regime detection). Percentile thresholds: 33/66 by default; widen the gap to change how often regimes switch. SL Mults: Start ~1.5 / 2.0 / 2.5 (low/base/high). Tune by asset. Risk % per trade: Common pro ranges are 0.25–1.0%; adjust to your risk tolerance. R:R: Start with 1:2 or 1:3 for balanced skew; adapt to strategy edge. Closed-bar values: Keep ON for planning/live; turn OFF only for exploration. 💡 Best practices Combine with your entry logic (structure, momentum, liquidity levels). Review ATR percentile and effective SL Mult across sessions so you understand regime shifts. For futures, remember size is floored to whole contracts—safer by design. Journal trades with the table snapshot to improve risk discipline over time. ⚠️ Notes & limitations This is not a strategy; it does not place orders or alerts. No slippage/commissions modeled here; build a strategy() version for backtests that mirror your broker/exchange. Displayed non-price metrics use two decimals; prices and SL Distance are exact (truncated to mintick). 📎 Disclaimer For educational purposes only. Not financial advice. Markets involve risk. Test thoroughly before trading live.
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NathanTradeus tarafından
Mutanabby_AI | Fresh Algo V24Mutanabby_AI | Fresh Algo V24: Advanced Multi-Mode Trading System Overview The Mutanabby_AI Fresh Algo V24 represents a sophisticated evolution of multi-component trading systems that adapts to various market conditions through advanced operational configurations and enhanced analytical capabilities. This comprehensive indicator provides traders with multiple signal generation approaches, specialized assistant functions, and dynamic risk management tools designed for professional market analysis across diverse trading environments. Primary Signal Generation Framework The Fresh Algo V24 operates through two fundamental signal generation approaches that accommodate different market perspectives and trading philosophies. The Trending Signals Mode serves as the primary trend-following mechanism, combining Wave Trend Oscillator analysis with Supertrend directional signals and Squeeze Momentum breakout detection. This mode incorporates ADX filtering that requires values exceeding 20 to ensure sufficient trend strength exists before signal activation, making it particularly effective during sustained directional market movements where momentum persistence creates profitable trading opportunities. The Contrarian Signals Mode provides an alternative approach targeting reversal opportunities through extreme market condition identification. This mode activates when the Wave Trend Oscillator reaches critical threshold levels, specifically when readings surpass 65 indicating potential bearish reversal conditions or drop below 35 suggesting bullish reversal opportunities. This methodology proves valuable during overextended market phases where mean reversion becomes statistically probable. Advanced Filtering Mechanisms The system incorporates multiple sophisticated filtering mechanisms designed to enhance signal quality and reduce false positive occurrences. The High Volume Filter requires volume expansion confirmation before signal activation, utilizing exponential moving average calculations to ensure institutional participation accompanies price movements. This filter substantially improves signal reliability by eliminating low-conviction breakouts that lack adequate volume support from professional market participants. The Strong Filter provides additional trend confirmation through 200-period exponential moving average analysis. Long position signals require price action above this benchmark level, while short position signals necessitate price action below it. This ensures strategic alignment with longer-term trend direction and reduces the probability of trading against major market movements that could invalidate shorter-term signals. Cloud Filter Configuration System The Fresh Algo V24 offers four distinct cloud filter configurations, each optimized for specific trading timeframes and market approaches. The Smooth Cloud Filter utilizes the mathematical relationship between 150-period and 250-period exponential moving averages, providing stable trend identification suitable for position trading strategies. This configuration generates signals exclusively when price action aligns with cloud direction, creating a more deliberate but highly reliable signal generation process. The Swing Cloud Filter employs modified Supertrend calculations with parameters specifically optimized for swing trading timeframes. This filter achieves optimal balance between responsiveness and stability, adapting effectively to medium-term price movements while filtering excessive market noise that typically affects shorter-term analytical systems. For active intraday traders, the Scalping Cloud Filter utilizes accelerated Supertrend calculations designed to capture rapid trend changes effectively. This configuration provides enhanced signal generation frequency suitable for compressed timeframe strategies. The advanced Scalping+ Cloud Filter incorporates Hull Moving Average confirmation, delivering maximum responsiveness for ultra-short-term trading while maintaining signal quality through additional momentum validation processes. Specialized Assistant Functionality The system includes two distinct assistant modes that provide supplementary market analysis capabilities. The Trend Assistant Mode activates advanced cloud analysis overlays that display dynamic support and resistance zones calculated through adaptive volatility algorithms. These levels automatically adjust to current market conditions, providing visual guidance for identifying trend continuation patterns and potential reversal areas with mathematical precision. The Trend Tracker Mode concentrates on long-term trend identification by displaying major exponential moving averages with color-coded fill areas that clarify directional bias. This mode maintains visual simplicity while providing comprehensive trend context evaluation, enabling traders to quickly assess broader market direction and align shorter-term strategies accordingly. Dynamic Risk Management System The integrated risk management system automatically adapts across all operational modes, calculating stop loss and take profit targets using Average True Range multiples that adjust to current market volatility. This approach ensures consistent risk parameters regardless of selected operational mode while maintaining relevance to prevailing market conditions. Stop loss placement occurs at dynamically calculated distances from entry points, while three progressive take profit targets establish at customizable ATR multiples respectively. The system automatically updates these levels upon trend direction changes, ensuring current market volatility influences all risk calculations and maintains appropriate risk-reward ratios throughout trade management. Comprehensive Market Analysis Dashboard The sophisticated dashboard provides real-time market analysis including volatility measurements, institutional activity assessment, and multi-timeframe trend evaluation across five-minute through four-hour periods. This comprehensive market context assists traders in selecting appropriate operational modes based on current market characteristics rather than relying exclusively on historical performance data. The multi-timeframe analysis ensures mode selection considers broader market context beyond the primary trading timeframe, improving overall strategic alignment and reducing conflicts between different temporal market perspectives. The dashboard displays market state classification, volatility percentages, institutional activity levels, current trading session information, and trend pressure indicators with professional formatting and clear visual hierarchy. Enhanced Trading Assistants The Fresh Algo V24 includes specialized trading assistant features that complement the primary signal generation system. The Reversal Dot functionality identifies potential reversal points through Wave Trend Oscillator analysis, displaying visual indicators when crossover conditions occur at extreme levels. These reversal indicators provide early warning signals for potential trend changes before they appear in the primary signal system. The Dynamic Take Profit Labels feature automatically identifies optimal profit-taking opportunities through RSI threshold analysis, marking potential exit points at multiple levels for long positions and corresponding levels for short positions. This automated profit management system helps traders optimize exit timing without requiring constant manual monitoring of technical indicators. Advanced Alert System The comprehensive alert system accommodates all operational modes while providing granular notification control for various signal types and risk management events. Traders can configure separate alerts for normal buy signals, strong buy signals, normal sell signals, strong sell signals, stop loss triggers, and individual take profit target achievements. Cloud crossover alerts notify traders when trend direction changes occur, providing early indication of potential strategy adjustments. The alert system includes detailed trade setup information, timeframe data, and relevant entry and exit levels, ensuring traders receive complete context for informed decision-making without requiring constant chart monitoring. Technical Foundation Architecture The Fresh Algo V24 combines multiple proven technical analysis components including Wave Trend Oscillator for momentum assessment, Supertrend for directional bias determination, Squeeze Momentum for volatility analysis, and various exponential moving averages for trend confirmation. Each component contributes specific market insights while the unified system provides comprehensive market evaluation through their mathematical integration. The multi-component approach reduces dependency on individual indicator limitations while leveraging the analytical strengths of each technical tool. This creates a robust analytical framework capable of adapting to diverse market conditions through appropriate mode selection and parameter optimization, ensuring consistent performance across varying market environments. Market State Classification The indicator incorporates advanced market state classification through ADX analysis, distinguishing between trending, ranging, and transitional market conditions. This classification system automatically adjusts signal sensitivity and filtering parameters based on current market characteristics, optimizing performance for prevailing conditions rather than applying static analytical approaches. The volatility measurement system calculates current market activity levels as percentages, providing quantitative assessment of market energy and helping traders select appropriate operational modes. Institutional activity detection through volume analysis ensures signal generation aligns with professional market participation patterns. Implementation Strategy Considerations Successful implementation requires careful matching of operational modes to prevailing market conditions and individual trading objectives. Trending modes demonstrate optimal performance during directional markets with sustained momentum characteristics, while contrarian modes excel during range-bound or overextended market conditions where reversal probability increases. The cloud filter configurations provide varying degrees of confirmation strength, with smoother settings reducing false signal occurrence at the expense of some responsiveness to price changes. Traders must balance signal quality against signal frequency based on their risk tolerance and available trading time, utilizing the comprehensive customization options to optimize performance for their specific requirements. Multi-Timeframe Integration The system provides seamless multi-timeframe analysis through the integrated dashboard, displaying trend alignment across multiple time horizons from five-minute through four-hour periods. This analysis helps traders understand broader market context and avoid conflicts between different temporal perspectives that could compromise trade outcomes. Session analysis identifies current trading session characteristics, providing context for expected market behavior patterns and helping traders adjust their approach based on typical session volatility and participation levels. This geographic market awareness enhances strategic decision-making and improves timing for trade execution. Advanced Visualization Features The indicator includes sophisticated visualization capabilities through gradient candle coloring based on MACD analysis, providing immediate visual feedback on momentum strength and direction. This enhancement allows rapid market assessment without requiring detailed indicator analysis, improving efficiency for traders managing multiple instruments simultaneously. The cloud visualization system uses color-coded fill areas to clearly indicate trend direction and strength, with automatic adaptation to selected operational modes. This visual clarity reduces analytical complexity while maintaining comprehensive market information display through professional chart presentation. Performance Optimization Framework The Fresh Algo V24 incorporates performance optimization features including signal strength classification, automatic parameter adjustment based on market conditions, and dynamic filtering that adapts to current volatility levels. These optimizations ensure consistent performance across varying market environments while maintaining signal quality standards. The system automatically adjusts sensitivity levels based on selected operational modes, ensuring appropriate responsiveness for different trading approaches. This adaptive framework reduces the need for manual parameter adjustments while maintaining optimal performance characteristics for each operational configuration. Conclusion The Mutanabby_AI Fresh Algo V24 represents a comprehensive solution for professional trading analysis, combining multiple analytical approaches with advanced visualization and risk management capabilities. The system's strength lies in its adaptive multi-mode design and sophisticated filtering mechanisms, providing traders with versatile tools for various market conditions and trading styles. Success with this system requires understanding the relationship between different operational modes and their optimal application scenarios. The comprehensive dashboard and alert system provide essential market context and trade management support, enabling systematic approach to market analysis while maintaining flexibility for individual trading preferences. The indicator's sophisticated architecture and extensive customization options make it suitable for traders at all experience levels, from those seeking systematic signal generation to advanced practitioners requiring comprehensive market analysis tools. The multi-timeframe integration and adaptive filtering ensure consistent performance across diverse market conditions while providing clear guidelines for strategic implementation.
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Mutanabby_AI tarafından
4
Average VolatilityThis script offers a unique and practical approach to visualizing average volatility by calculating a simple moving average of the daily high-low ranges, directly reflecting price fluctuations over a user-defined period. Unlike standard volatility indicators, it provides customizable options such as adjustable period length, display of absolute and percentage volatility values, and flexible text formatting for clear and tailored insights. This makes it a valuable tool for traders seeking to better understand market volatility trends and manage risk more effectively. Its straightforward visualization supports informed decision-making across various instruments and timeframes. The indicator displays the average volatility over a configurable period as a bar chart (originally designed for daily intervals). It visualizes the price range (difference between high and low) across a selectable number of periods, as well as its ratio to the closing price, offering various customization options. For many traders, assets with daily moves of 1% or more may offer greater profit opportunities, especially for short-term trading strategies. Instruments with lower volatility are generally less favored and often not recommended in such approaches due to reduced trading potential. Please note that higher volatility also implies increased risk, and potential losses can be significant. Always use proper risk management. Detailed description: The script calculates average volatility as a simple moving average of the high-low ranges (default: 5 periods, intended for daily timeframes). Volatility can be shown as either a bar or line chart. Users can choose to display the absolute volatility values and/or the volatility expressed as a percentage of the closing price. Text size and spacing between labels are adjustable to ensure readability across different instruments. Additionally, the last (unconfirmed) bar can be shown or hidden, since its value depends on the current price. Overall, the script provides a flexible and clear visualization of an instrument’s volatility. --- Russian: Индикатор отображает среднюю волатильность как простое скользящее среднее диапазонов «максимум-минимум» (по умолчанию 5 периодов, предназначено для дневных таймфреймов). Волатильность может отображаться в виде столбчатой или линейной диаграммы. Пользователи могут выбрать отображение абсолютных значений волатильности и/или волатильности, выраженной в процентах от цены закрытия. Размер текста и расстояния между надписями регулируются для удобочитаемости на разных инструментах. Кроме того, последний (неподтверждённый) столбец можно показать или скрыть, так как его значение зависит от текущей цены. В общем, скрипт обеспечивает гибкое и наглядное отображение волатильности инструмента. Активы с волатильностью от 1% и выше дают больше возможностей для краткосрочной торговли, но риск также выше. Инструменты с низкой волатильностью не рекомендуются для таких подходов из-за ограниченного торгового потенциала и сложности в реализации прибыльных сделок. Всегда применяйте риск-менеджмент. --- Spanish: El script calcula la volatilidad promedio como un promedio móvil simple de las diferencias entre máximos y mínimos (por defecto 5 periodos, pensado para intervalos diarios). La volatilidad puede mostrarse como gráfico de barras o de líneas. El usuario puede elegir mostrar los valores absolutos de la volatilidad y/o los valores expresados en porcentaje respecto al precio de cierre. El tamaño del texto y el espacio entre las etiquetas son ajustables para garantizar la legibilidad en diferentes instrumentos. Además, se puede mostrar u ocultar la última barra (no confirmada), ya que su valor depende del precio actual. En conjunto, el script proporciona una visualización flexible y clara de la volatilidad del instrumento. Los activos con una volatilidad del 1% o más ofrecen mayores oportunidades para el trading a corto plazo, pero también conllevan un mayor riesgo. Los instrumentos con baja volatilidad no se recomiendan para este tipo de estrategias debido a su limitado potencial de trading y la dificultad para obtener ganancias. Siempre utilice una gestión de riesgos adecuada.
Pine Script® göstergesi
Waldemar-K tarafından
Regime KaleidoscopeWhat is Regime Kaleidoscope? Regime Kaleidoscope is an advanced market regime visualizer and adaptive signal generator. It helps traders instantly understand whether current market conditions are best for mean-reversion (fading price back to the mean) or breakout/trend-following (riding strong moves), using a data-driven, non-repainting approach. How It Works 1. Regime Detection & Background Colors The indicator analyzes both volatility (ATR) and the shape of each candle (body size vs. range) over a rolling window. Each bar is classified into one of three regimes, and the chart’s background color changes accordingly: Regime Background Color What It Means How to Use Low Vol Balanced Green background Market is calm, compressed. More likely to revert back to mean. Look for mean-reversion signals only (fade moves). High Vol Directional Red background Market is in a high-volatility, trending, or “breakout” state. Red does NOT mean bearish. It simply means conditions are ripe for strong directional moves—either up or down. Look for breakout signals only (ride strong moves after structure break). Chop Gray background Market is indecisive or transitioning between states. Signals are minimized or blocked. Best to wait or trade with extra caution. → Red background means high volatility/trending regime, not a signal direction! Green means “mean-revert environment,” not always bullish! Gray means “chop/transition”—usually best avoided. 2. Signals — How to Read and Trade Them Mean-Reversion Signals (Green Regime Only): Appear when price is stretched away from a rolling mean (SMA) by a configurable ATR-based threshold. Optional: Only allowed in the direction of the higher-timeframe trend, if enabled. Long signals: Fade extreme dips (look for triangle-up shapes & green labels). Short signals: Fade extreme spikes (triangle-down shapes & red labels). Labels show signal strength (distance from mean in ATR units). Breakout Signals (Red Regime Only): Only triggered when price breaks above or below a confirmed swing high or low (pivot), with a strong candle and optional trend confirmation. Long signals: Breakout above last swing high (regardless of background color). Short signals: Breakout below last swing low. Labels show signal strength (distance from pivot in ATR units). Red background does NOT mean sell— it means “trend environment”—so both long and short signals are possible, depending on which direction price is breaking out. Signal Controls & Filtering: Signals only fire at bar close (non-repainting), never intrabar or on future data. ATR “floor” blocks signals when volatility is too low for meaningful moves. Cooldown: Signals are limited to one per regime per direction for a minimum number of bars (user input). Optional confirmation candles: Only strong reversals or breakouts count, reducing noise and whipsaws. All signals are visible as triangle shapes below/above bars, and labeled with strength. 3. Visual Guide Background color: Maps the regime, not buy/sell direction. Transition label: Appears only when the regime changes, so you can see state shifts at a glance. Triangle shapes & labels: Mark entry points; label gives strength. Info table (optional): Shows regime and ATR at transitions. Why is Regime Kaleidoscope Unique? Uses rolling statistical percentiles of ATR and candle body shape for dynamic market state detection—not just a moving average or volatility band. Separates regime from signal direction, so you always know “what mode the market is in” and when signals actually have a higher probability. No repainting. All logic is strictly bar-close, confirmed pivots, and non-future-leaking. Highly customizable—all thresholds, filters, trend confirmation, and cooldown are user inputs. How To Use Add to any chart. Use the background color to identify if you’re in a mean-revert, breakout, or chop regime. Take only the signals that match the regime: Green = fade extremes, Red = ride breakouts, Gray = wait. Tune settings for your asset and timeframe. All signals are educational—always test before live use! Past performance is not necessarily indicative of future results. Test the indicator on your assets and timeframes. All signals are for educational use only.
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Finntech1 tarafından
ATR%指標概要 / Overview ATR Percentage (MTF)：把 ATR 轉為百分比（ATR%）或保留為絕對值，並在該「波動序列」上套用布林帶。支援多週期（MTF）計算：例如在 5 分圖顯示 4H / D1 的 ATR%。內建白色點狀水平線作為固定門檻（預設 1%）。 ATR Percentage (MTF): Converts ATR to a percentage of price (ATR%) or keeps it as absolute ATR, then applies Bollinger Bands on this volatility series. Supports multi-timeframe (MTF) calculation (e.g., show 4H/D1 ATR% on a 5-min chart). Includes a configurable white dotted horizontal threshold line (default 1%). ⸻ 設計目的 / Purpose • 以 ATR% 衡量相對波動，利於跨品種比較。 Use ATR% for relative volatility to compare across markets. • 以 布林帶 標示「高/低波動區」，觀察擴張與壓縮。 Use Bollinger Bands on volatility to highlight expansion/squeeze. • 提供 固定閾值（1%） 作為策略濾網或告警門檻。 Provide a fixed threshold (1%) for filters/alerts. • 以 MTF 方式，讓低週期策略用高週期波動做濾網。 MTF lets lower-TF strategies filter by higher-TF volatility. ⸻ 參數說明 / Inputs • Use ATR as % of Close：切換 ATR（絕對值）/ ATR%（建議）。 Toggle between absolute ATR and ATR% (recommended). • ATR Periods：ATR 計算長度（預設 22）。 ATR lookback (default 22). • Show Bollinger Bands / BB Periods / StdDev：布林帶開關、長度與倍數（預設 20 / 2）。 Bollinger Bands on/off, length, and deviation (default 20 / 2). • Source Timeframe：計算用週期（如 60、240、D、W；留空/Chart ＝ 跟隨圖表）。 Timeframe used for calculations (e.g., 60, 240, D, W; empty/“Chart” = current). • Threshold Line (%)：白色點線門檻，預設 1.0（即 1%）。 White dotted threshold line, default 1.0 (1%). 提醒：當 非 ATR% 模式時，Threshold 值代表「價格單位」而非百分比。 Note: In non-ATR% mode, the threshold is in price units, not percent. ⸻ 訊號解讀 / How to Read • ATR% > 上軌：波動顯著擴張（趨勢啟動或加速常見）。 ATR% above upper band: significant expansion; often trend ignition/acceleration. • ATR% < 下軌：波動明顯壓縮（常見於突破前）。 ATR% below lower band: volatility squeeze; often precedes breakouts. • ATR% 穿越 Threshold（1%）：達到固定波動標準，可作策略開關或風控分水嶺。 ATR% crossing the 1% threshold: fixed volatility bar for filters/risk gates. ⸻ 內建告警 / Built-in Alerts • Volatility Breakout (MTF)：ATR/ATR% 向上穿越上軌。 Triggers when ATR/ATR% crosses above the upper band. • Volatility Squeeze (MTF)：ATR/ATR% 向下穿越下軌。 Triggers when ATR/ATR% crosses below the lower band. ⸻ 使用建議 / Suggested Uses • 當沖濾網：於 1–5 分圖選擇 4H / D1 作為 Source Timeframe；僅在 ATR% > 1% 且位於中線以上時允許趨勢進場。 Intraday filter: on 1–5m charts, set 4H/D1 as source TF; allow trend entries only when ATR% > 1% and above the midline. • 突破前偵測：ATR% 長時間貼近下軌 → 留意可能的波動擴張。 Pre-breakout scan: prolonged ATR% near lower band can foreshadow expansion. • 跨品種比較：用 ATR% 統一指數、外匯、商品的波動刻度。 Cross-asset comparison: ATR% normalizes volatility across indices/FX/commodities. ⸻ 已知限制 / Notes • MTF 對齊：使用 request.security() 對映高週期資料到當前圖表；在歷史回補與即時邊界棒可能略有差異。 MTF alignment: request.security() maps higher-TF data; boundary bars may differ slightly between historical and realtime. • 百分比分母：ATR% 的分母為同一週期的 close；若需更平滑可改 ATR / SMA(close, N) × 100。 Denominator: ATR% uses same-TF close; for smoother values consider ATR / SMA(close, N) × 100. • 風險聲明：僅供研究/教育用途，非投資建議，請自行控管風險。 Disclaimer: For research/education only. Not investment advice. ⸻ 版本與更新 / Version & Updates • v1.0：ATR/ATR% + BB（MTF）、1% 白色點線、兩組告警。 v1.0: ATR/ATR% + BB (MTF), 1% white dotted line, two alert conditions.
Pine Script® göstergesi
ShawE tarafından
Multi-Length Quad Bollinger BandsHere is a Pine Script code for TradingView that plots four separate Bollinger Bands on your chart. The lengths are preset to 14, 50, 100, and 200, but every aspect—including lengths, standard deviations, colors, and the source price—is fully customizable through the script's settings menu. The 14 and 50-period bands are enabled by default, while the 100 and 200-period bands are disabled to keep the chart clean initially. You can easily toggle any of them on or off.
Pine Script® göstergesi
imnadim tarafından
Energy Advanced Policy StrategyThis trading strategy emphasizes both technical trading as well as sentiment trading. Using news and government policy decisions, it can determine either positive or negative sentiment in the energy sector. How the Strategy Works This strategy has two main parts that work together to find good trades: 1. The "Policy & Sentiment Engine " Policy Event Detection : The script spots potential big news or policy changes by looking for big, sudden price moves and huge trading volume. You can play with the Policy Event Volume Threshold and Policy Event Price Threshold (%) settings to make it more or less sensitive. Sentiment Score : When the script finds a positive or negative event, it adds to a sentiment score. This score isn't forever, though; it fades over time, so the newest events matter the most. Manual Override : The Manual News Sentiment setting lets you tell the script exactly what the market's mood is for a set time, which is perfect for when you already know about a big upcoming announcement. The strategy only looks for a trade if the overall feeling is bullish enough. This makes sure you're trading with the big, fundamental forces of the market, not against them. 2. Technical Confirmation & Precision After the policy and sentiment part gives a green light, the strategy uses a variety of technical indicators to confirm the trend and ideal entry positions. Long-Term Trend : The script makes sure the market is in a strong uptrend by checking if the fast and medium-speed moving averages are going up, and if the price is above a long-term moving average. Momentum : The MACD is used to make sure the price's upward momentum is getting stronger, not weaker. Oscillator : It also uses the RSI to check if the market has gone up too much, too fast, which could mean it's about to turn around. How to Use the Script You can customize this strategy to fit your trading style and how much risk you're comfortable with. The inputs are grouped into logical sections for easy adjustment. News & Policy Analysis : You can play with the Policy Event thresholds to make the script more or less sensitive to market shocks. And you can always use the Manual News Sentiment to take over when you're watching a specific news event. Technical Analysis : Feel free to change the settings for things like the moving averages, RSI, and MACD to match what you like to trade and on what timeframe.
Pine Script® stratejisi
Hbcole tarafından
Mutanabby_AI | Ultimate Algo | Remastered+Overview The Mutanabby_AI Ultimate Algo Remastered+ represents a sophisticated trend-following system that combines Supertrend analysis with multiple moving average confirmations. This comprehensive indicator is designed specifically for identifying high-probability trend continuation and reversal opportunities across various market conditions. Core Algorithm Components **Supertrend Foundation**: The primary signal generation relies on a customizable Supertrend indicator with adjustable sensitivity (1-20 range). This adaptive trend-following tool uses Average True Range calculations to establish dynamic support and resistance levels that respond to market volatility. **SMA Confirmation Matrix**: Multiple Simple Moving Averages (SMA 4, 5, 9, 13) provide layered confirmation for signal strength. The algorithm distinguishes between regular signals and "Strong" signals based on SMA 4 vs SMA 5 relationship, offering traders different conviction levels for position sizing. **Trend Ribbon Visualization**: SMA 21 and SMA 34 create a visual trend ribbon that changes color based on their relationship. Green ribbon indicates bullish momentum while red signals bearish conditions, providing immediate visual trend context. **RSI-Based Candle Coloring**: Advanced 61-tier RSI system colors candles with gradient precision from deep red (RSI ≤20) through purple transitions to bright green (RSI ≥79). This visual enhancement helps traders instantly assess momentum strength and overbought/oversold conditions. Signal Generation Logic **Buy Signal Criteria**: - Price crosses above Supertrend line - Close price must be above SMA 9 (trend confirmation) - Signal strength determined by SMA 4 vs SMA 5 relationship - "Strong Buy" when SMA 4 ≥ SMA 5 - Regular "Buy" when SMA 4 < SMA 5 **Sell Signal Criteria**: - Price crosses below Supertrend line - Close price must be below SMA 9 (trend confirmation) - Signal strength based on SMA relationship - "Strong Sell" when SMA 4 ≤ SMA 5 - Regular "Sell" when SMA 4 > SMA 5 Advanced Risk Management System **Automated TP/SL Calculation**: The indicator automatically calculates stop loss and take profit levels using ATR-based measurements. Risk percentage and ATR length are fully customizable, allowing traders to adapt to different market conditions and personal risk tolerance. **Multiple Take Profit Targets**: - 1:1 Risk-Reward ratio for conservative profit taking - 2:1 Risk-Reward for balanced trade management - 3:1 Risk-Reward for maximum profit potential **Visual Risk Display**: All risk management levels appear as both labels and optional trend lines on the chart. Customizable line styles (solid, dashed, dotted) and positioning ensure clear visualization without chart clutter. **Dynamic Level Updates**: Risk levels automatically recalculate with each new signal, maintaining current market relevance throughout position lifecycles. Visual Enhancement Features **Customizable Display Options**: Toggle trend ribbon, TP/SL levels, and risk lines independently. Decimal precision adjustments (1-8 decimal places) accommodate different instrument price formats and personal preferences. **Professional Label System**: Clean, informative labels show entry points, stop losses, and take profit targets with precise price levels. Labels automatically position themselves for optimal chart readability. **Color-Coded Momentum**: The gradient RSI candle coloring system provides instant visual feedback on momentum strength, helping traders assess market energy and potential reversal zones. Implementation Strategy **Timeframe Optimization**: The algorithm performs effectively across multiple timeframes, with higher timeframes (4H, Daily) providing more reliable signals for swing trading. Lower timeframes work well for day trading with appropriate risk adjustments. **Sensitivity Adjustment**: Lower sensitivity values (1-5) generate fewer but higher-quality signals, ideal for conservative approaches. Higher sensitivity (15-20) increases signal frequency for active trading styles. **Risk Management Integration**: Use the automated risk calculations as baseline parameters, adjusting risk percentage based on account size and market conditions. The 1:1, 2:1, 3:1 targets enable systematic profit-taking strategies. Market Application **Trend Following Excellence**: Primary strength lies in capturing significant trend movements through the Supertrend foundation with SMA confirmation. The dual-layer approach reduces false signals common in single-indicator systems. **Momentum Assessment**: RSI-based candle coloring provides immediate momentum context, helping traders assess signal strength and potential continuation probability. **Range Detection**: The trend ribbon helps identify ranging conditions when SMA 21 and SMA 34 converge, alerting traders to potential breakout opportunities. Performance Optimization **Signal Quality**: The requirement for both Supertrend crossover AND SMA 9 confirmation significantly improves signal reliability compared to basic trend-following approaches. **Visual Clarity**: The comprehensive visual system enables rapid market assessment without complex calculations, ideal for traders managing multiple instruments. **Adaptability**: Extensive customization options allow fine-tuning for specific markets, trading styles, and risk preferences while maintaining the core algorithm integrity. ## Non-Repainting Design **Educational Note**: This indicator uses standard TradingView functions (Supertrend, SMA, RSI) with normal behavior patterns. Real-time updates on current candles are expected and standard across all technical indicators. Historical signals on closed candles remain fixed and unchanged, ensuring reliable backtesting and analysis. **Signal Confirmation**: Final signals are confirmed only when candles close, following standard technical analysis principles. The algorithm provides clear distinction between developing signals and confirmed entries. Technical Specifications **Supertrend Parameters**: Default sensitivity of 4 with ATR length of 11 provides balanced signal generation. Sensitivity range from 1-20 allows adaptation to different market volatilities and trading preferences. **Moving Average Configuration**: SMA periods of 8, 9, and 13 create multi-layered trend confirmation, while SMA 21 and 34 form the visual trend ribbon for broader market context. **Risk Management**: ATR-based calculations with customizable risk percentage ensure dynamic adaptation to market volatility while maintaining consistent risk exposure principles. Recommended Settings **Conservative Approach**: Sensitivity 4-5, RSI length 14, higher timeframes (4H, Daily) for swing trading with maximum signal reliability. **Active Trading**: Sensitivity 6-8, RSI length 8-10, intermediate timeframes (1H) for balanced signal frequency and quality. **Scalping Setup**: Sensitivity 10-15, RSI length 5-8, lower timeframes (15-30min) with enhanced risk management protocols. ## Conclusion The Mutanabby_AI Ultimate Algo Remastered+ combines proven trend-following principles with modern visual enhancements and comprehensive risk management. The algorithm's strength lies in its multi-layered confirmation approach and automated risk calculations, providing both novice and experienced traders with clear signals and systematic trade management. Success with this system requires understanding the relationship between signal strength indicators and adapting sensitivity settings to match current market conditions. The comprehensive visual feedback system enables rapid decision-making while the automated risk management ensures consistent trade parameters. Practice with different sensitivity settings and timeframes to optimize performance for your specific trading style and risk tolerance. The algorithm's systematic approach provides an excellent framework for disciplined trend-following strategies across various market environments.
Pine Script® göstergesi
Mutanabby_AI tarafından
6
Mutanabby_AI __ OSC+ST+SQZMOMMutanabby_AI OSC+ST+SQZMOM: Multi-Component Trading Analysis Tool Overview The Mutanabby_AI OSC+ST+SQZMOM indicator combines three proven technical analysis components into a unified trading system, providing comprehensive market analysis through integrated oscillator signals, trend identification, and volatility assessment. Core Components Wave Trend Oscillator (OSC): Identifies overbought and oversold market conditions using exponential moving average calculations. Key threshold levels include overbought zones at 60 and 53, with oversold areas marked at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart for easy identification. Supertrend Indicator (ST): Determines overall market direction using Average True Range calculations with a 2.5 factor and 10-period ATR configuration. Green lines indicate confirmed uptrends while red lines signal downtrend conditions. The indicator automatically adapts to market volatility changes, providing reliable trend identification across different market environments. Squeeze Momentum (SQZMOM): Compares Bollinger Bands with Keltner Channels to identify consolidation periods and potential breakout scenarios. Black squares indicate squeeze conditions representing low volatility periods, green triangles signal confirmed upward breakouts, and red triangles mark downward breakout confirmations. Signal Generation Logic Long Entry Conditions: Green triangles from Squeeze Momentum component Supertrend line transitioning to green Bullish crossovers in Wave Trend Oscillator from oversold territory Short Entry Conditions: Red triangles from Squeeze Momentum component Supertrend line transitioning to red Bearish crossovers in Wave Trend Oscillator from overbought territory Automated Risk Management The indicator incorporates comprehensive risk management through ATR-based calculations. Stop losses are automatically positioned at 3x ATR distance from entry points, while three progressive take profit targets are established at 1x, 2x, and 3x ATR multiples respectively. All risk management levels are clearly displayed on the chart using colored lines and informative labels. When trend direction changes, the system automatically clears previous risk levels and generates new calculations, ensuring all risk parameters remain current and relevant to existing market conditions. Alert and Notification System Comprehensive alert framework includes trend change notifications with complete trade setup details, squeeze release alerts for breakout opportunity identification, and trend weakness warnings for active position management. Alert messages contain specific trading pair information, timeframe specifications, and all relevant entry and exit level data. Implementation Guidelines Timeframe Selection: Higher timeframes including 4-hour and daily charts provide the most reliable signals for position trading strategies. One-hour charts demonstrate good performance for day trading applications, while 15-30 minute timeframes enable scalping approaches with enhanced risk management requirements. Risk Management Integration: Limit individual trade risk to 1-2% of total capital using the automatically calculated stop loss levels for precise position sizing. Implement systematic profit-taking at each target level while adjusting stop loss positions to protect accumulated gains. Market Volatility Adaptation: The indicator's ATR-based calculations automatically adjust to changing market volatility conditions. During high volatility periods, risk management levels appropriately widen, while low volatility conditions result in tighter risk parameters. Optimization Techniques Combine indicator signals with fundamental support and resistance level analysis for enhanced signal validation. Monitor volume patterns to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of scheduled economic events that may influence market behavior independent of technical indicator signals. The multi-component design provides internal signal confirmation through multiple alignment requirements, significantly reducing false signal occurrence while maintaining reasonable trade frequency for active trading strategies. Technical Specifications The Wave Trend Oscillator utilizes customizable channel length (default 10) and average length (default 21) parameters for optimal market sensitivity. Supertrend calculations employ ATR period of 10 with factor multiplier of 2.5 for balanced signal quality. Squeeze Momentum analysis uses Bollinger Band length of 20 periods with 2.0 multiplication factor, combined with Keltner Channel length of 20 periods and 1.5 multiplication factor. Conclusion The Mutanabby_AI OSC+ST+SQZMOM indicator provides a systematic approach to technical market analysis through the integration of proven oscillator, trend, and momentum components. Success requires thorough understanding of each element's functionality and disciplined implementation of proper risk management principles. Practice with demo trading accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach effectively reduces emotional decision-making while providing clear, objective guidelines for trade entry, management, and exit strategies across various market conditions.
Pine Script® göstergesi
Mutanabby_AI tarafından