Volatilityindicator — 指標和策略

BE-QuantFlow: Adaptive Momentum Trading █ Overview: QuantFlow: Adaptive Momentum Trading QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes. While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful. █ Why QuantFlow ? Quant (The Engine): This replaces subjective guessing with objective math. Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure. █ Core Logic & Philosophy To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things: Peace: Nothing is happening. No one is buying or selling. War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive. A single line hides this reality. QuantFlow splits the market into two separate scores: Bull Score (Green Line): How hard are the buyers pushing? Bear Score (Red Line): How hard are the sellers pushing? The Layman's Advantage: If both lines are low = Sleepy Market (Avoid). If Green is high and Red is low = Clean Uptrend (Buy). If Red is high and Green is low = Clean Downtrend (Sell). If both lines are high = Chaos/War Zone (Wait). █ How it Weight "Sustenance" (The Critical Quality Check) This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?" Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110. Verdict : Buyers pushed up and sustained the price. QuantFlow Weight : 100%. This is a high-quality move. Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102. Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick). QuantFlow Weight : 20%. This is treated as "Noise" or a trap. By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators. Comparisons: QuantFlow vs. The Rest Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting). Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle. Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction. Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility. █ Dynamic Volatility Filtering Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals. The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios. The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries: Scenario A: Inside the Noise (The Filter) If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise. Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets. Scenario B: Outside the Noise (The Breakout) If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event). Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone. █ The ⚠️ "Warning" System (Heads-up for Smart Reversals) While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making █ Special Utility: Ghost Mode For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat. Ghost Mode is a unique feature that runs silently in the background: At Square-off: The strategy closes your official position to satisfy the broker. In the Background: It keeps the trade "alive" virtually (Ghost). Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session. █ Advice on this indicator: Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these. Low Volatility Assets: Reduce Stop Multiplier to 2.0. High Volatility Assets: Increase Momentum Lookback to 50 to filter noise. Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.

Mutanabby_AI | ATR+ | Trend-Following Strategy This document presents the Mutanabby_AI | ATR+ Pine Script strategy, a systematic approach designed for trend identification and risk-managed position entry in financial markets. The strategy is engineered for long-only positions and integrates volatility-adjusted components to enhance signal robustness and trade management. Strategic Design and Methodological Basis The Mutanabby_AI | ATR+ strategy is constructed upon a foundation of established technical analysis principles, with a focus on objective signal generation and realistic trade execution. Heikin Ashi for Trend Filtering: The core price data is processed via Heikin Ashi (HA) methodology to mitigate transient market noise and accentuate underlying trend direction. The script offers three distinct HA calculation modes, allowing for comparative analysis and validation: Manual Calculation: Provides a transparent and deterministic computation of HA values. ticker.heikinashi(): Utilizes TradingView's built-in function, employing confirmed historical bars to prevent repainting artifacts. Regular Candles: Allows for direct comparison with standard OHLC price action. This multi-methodological approach to trend smoothing is critical for robust signal generation. Adaptive ATR Trailing Stop: A key component is the Average True Range (ATR)-based trailing stop. ATR serves as a dynamic measure of market volatility. The strategy incorporates user-defined parameters ( Key Value and ATR Period) to calibrate the sensitivity of this trailing stop, enabling adaptation to varying market volatility regimes. This mechanism is designed to provide a dynamic exit point, preserving capital and locking in gains as a trend progresses. EMA Crossover for Signal Generation: Entry and exit signals are derived from the interaction between the Heikin Ashi derived price source and an Exponential Moving Average (EMA). A crossover event between these two components is utilized to objectively identify shifts in momentum, signaling potential long entry or exit points. Rigorous Stop Loss Implementation: A critical feature for risk mitigation, the strategy includes an optional stop loss. This stop loss can be configured as a percentage or fixed point deviation from the entry price. Importantly, stop loss execution is based on real market prices, not the synthetic Heikin Ashi values. This design choice ensures that risk management is grounded in actual market liquidity and price levels, providing a more accurate representation of potential drawdowns during backtesting and live operation. Backtesting Protocol: The strategy is configured for realistic backtesting, employing fill_orders_on_standard_ohlc=true to simulate order execution at standard OHLC prices. A configurable Date Filter is included to define specific historical periods for performance evaluation. Data Visualization and Metrics: The script provides on-chart visual overlays for buy/sell signals, the ATR trailing stop, and the stop loss level. An integrated information table displays real-time strategy parameters, current position status, trend direction, and key price levels, facilitating immediate quantitative assessment. Applicability The Mutanabby_AI | ATR+ strategy is particularly suited for: Cryptocurrency Markets: The inherent volatility of assets such as #Bitcoin and #Ethereum makes the ATR-based trailing stop a relevant tool for dynamic risk management. Systematic Trend Following: Individuals employing systematic methodologies for trend capture will find the objective signal generation and rule-based execution aligned with their approach. Pine Script Developers and Quants: The transparent code structure and emphasis on realistic backtesting provide a valuable framework for further analysis, modification, and integration into broader quantitative models. Automated Trading Systems: The clear, deterministic entry and exit conditions facilitate integration into automated trading environments. Implementation and Evaluation To evaluate the Mutanabby_AI | ATR+ strategy, apply the script to your chosen chart on TradingView. Adjust the input parameters (Key Value, ATR Period, Heikin Ashi Method, Stop Loss Settings) to observe performance across various asset classes and timeframes. Comprehensive backtesting is recommended to assess the strategy's historical performance characteristics, including profitability, drawdown, and risk-adjusted returns. I'd love to hear your thoughts, feedback, and any optimizations you discover! Drop a comment below, give it a like if you find it useful, and share your results.

Baseline Cross Qualifier Volatility Strategy with HMA Trend Bias For trading ES on 30min Chart Trading Rules Post Baseline Cross Qualifier (PBCQ): If price crosses the baseline but the trade is invalid due to additional qualifiers, then the strategy doesn't enter a trade on that candle. This setting allows you override this disqualification in the following manner: If price crosses XX bars ago and is now qualified by other qualifiers, then the strategy enters a trade. Volatility: If price crosses the baseline, we check to see how far it has moved in terms of multiples of volatility denoted in price (ATR x multiple). If price has moved by at least "Qualifier multiplier" and less than "Range Multiplier", then the strategy enters a trade. This range is shown on the chart with yellow area that tracks price above/blow the baseline. Also, see the dots at the top of the chart. If the dots are green, then price passes the volatility test for a long. If the dots are red, then price passes the volatility test for a short. Take Profit/Stoploss Quantity Removed 1 Take Profit: 100% of the trade is closed when the profit target or stoploss is reached. 2 Take Profits: Quantity is split 50/50 between Take Profit 1 and Take Profit 2 3 Take Profits: Quantify is split 50/25/25. Stratgey Inputs Baseline Length 37 Post Baseline Cross Qualifier Enabled On Post Baseline Cross Qualifier Bars Ago 9 ATR Length 9 Volatility Multiplier 0 Volatility Range Multiplier 10 Volatility Qualifier Multiplier 2 Take Profit Type 1 Take Profit HMA Length 11

Bollinger Bands Fibonacci Ratios Strategy Hello, everyone! We have just released an innovative strategy for TradingView. It allows you to identify price pivot points and volatility. This strategy is: User-friendly Configurable Equipped with Bollinger Bands and smoothed ATR to measure volatility Features Thanks to the BB Fibo strategy, you can: Trade stocks and commodities. Identify price pivot points. Choose any band for trading Long or Short positions. Swap upper and lower bands applying Use Reverse Buy/Sell parameters. Note! The upper bands are for the Long position. The lower bands are for the Short positions. Parameters We have equipped our strategy with more than 14 additional parameters. So, you can configure the EA according to your needs! Inputs: Length Source: Open, High, Low, Close, HL2, HLC3, OHLC4 Offset Fibonacci Ratio 1 — a Fibonacci factor for the 1st upper and lower indicator lines calculating. Fibonacci Ratio 2 — a Fibonacci factor for the 2nd upper and lower indicator lines calculating. Fibonacci Ratio 3 — a Fibonacci factor for the 3d upper and lower indicator lines calculating. Use Reverse Buy — the strategy will use lower Bollinger bands instead of upper ones. Fibonacci Buy — band selection for opening Long positions conditions. Use Reverse Sell — the strategy will use upper Bollinger bands instead of lower ones. Fibonacci Sell — band selection for opening Short positions conditions. Style: Basis — baseline color and style settings. Upper 3 — the 3d upper line color and style. Upper 2 — the 2nd upper line color and style. Upper 1 — the 1st upper line color and style. Lower 1 — the 1st lower line color and style. Lower 2 — the 2nd lower line color and style. Lower 3 — the 3d upper line color and style. Background — the background color within the 3d upper and 3d lower indicator band. Precision — the number of decimals for BB Fibo values. Note! Try BB Fibo on your demo account first before going live.