Markettrends — Indicatori e strategie

Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynx Gypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙 1. Executive Summary & Architecture Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm. Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script. The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction. Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events. 2. ⚠️ The Philosophy of "Curve Fitting" (Must Read) One must be careful when applying Gypsy Bot to new pairs or charts. To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure. To use this engine successfully: Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points. Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted. Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility. Timeframe Recommendations: Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets. 3. The Voting Mechanism: How Entries Are Generated The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings). The engine constantly monitors the output of all enabled Modules. Long Votes: GoLongCount Short Votes: GoShortCount If you have 10 Modules enabled, and you set ActivateOrders to 7: The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle. If only 6 modules agree, the signal is rejected. 4. Technical Deep Dive: The 12 Modules Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading. Module 1: Modified Slope Angle (MSA) Logic: Calculates the geometric angle of a moving average relative to the timeline. Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. Module 2: Correlation Trend Indicator (CTI) Logic: Measures how closely the current price action correlates to a straight line (a perfect trend). Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs. Module 3: Ehlers Roofing Filter Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal). Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages. Module 4: Forecast Oscillator Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is. Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes. Module 5: Chandelier ATR Stop Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes. Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish. Module 6: Crypto Market Breadth (CMB) Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts). Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade. Module 7: Directional Index Convergence (DIC) Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices. Function: Identifies when trend strength is expanding. Module 8: Market Thrust Indicator (MTI) Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data. Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother). Module 9: Simple Ichimoku Cloud Logic: Traditional Japanese trend analysis. Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry. Module 10: Simple Harmonic Oscillator Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms. Function: Serves as a counter-trend or early-reversal detector. Module 11: HSRS Compression / Super AO Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO). Function: Great for catching explosive moves resulting from consolidation. Module 12: Fisher Transform (MTF) Logic: Converts price data into a Gaussian normal distribution. Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend. 5. Global Inhibitors (The Veto Power) Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040). Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down. ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX). CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment. 6. Risk Management & The Dump Protection Team (DPT) Even in this Indicator version, the RM logic runs to generate Exit Signals. Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot). Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse"). Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts. 7. Recommended Setup Guide When applying Gypsy Bot to a new chart, follow this sequence: Set Timeframe: 4 Hours (4H). Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility. Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended). Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging). Voting Threshold: Adjust ActivateOrders to filter out noise. Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine. 8. Technical Specs Engine Version: Pine Script V6 Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes. Visuals: Blue Plot: Buy/Sell Signal. Yellow Plot: Risk Management (RM) / DPT Close Signal. Green/Lime/Olive Plots: Take Profit hits. Disclaimer: This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it. 9. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.

Gyspy Bot Trade Engine - V1.2B - Strategy 12-7-25 - SignalLynx Gypsy Bot Trade Engine (MK6 V1.2B) - Ultimate Strategy & Backtest Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙 1. Executive Summary & Architecture Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script environment. While most strategies rely on a single dominant indicator (like an RSI cross or a MACD flip) to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm. The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only executes a trade entry when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction before capital is committed. Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to force-exit positions, overriding standard stops to preserve capital during Black Swan events. 2. ⚠️ The Philosophy of "Curve Fitting" (Must Read) One must be careful when applying Gypsy Bot to new pairs or charts. To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the backtest shows a 100% win rate, only to have the strategy fail immediately in live markets because it was tuned to historical noise rather than market structure. To use this engine successfully, you must adopt a specific optimization mindset: Ignore Raw Net Profit: Do not tune for the highest dollar amount. A strategy that makes $1M in the backtest but has a 40% drawdown is useless. Prioritize Stability: Look for a high Profit Factor (1.5+), a high Percent Profitable, and a smooth equity curve. Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Parameters that worked perfectly in 2021 may fail in 2024. Gypsy Bot settings should be reviewed and adjusted at regular intervals (e.g., quarterly) to ensure the voting logic remains aligned with current market volatility. Timeframe Recommendations: Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets. 3. The Voting Mechanism: How Entries Are Generated The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings). The engine constantly monitors the output of all enabled Modules. Long Votes: GoLongCount Short Votes: GoShortCount If you have 10 Modules enabled, and you set ActivateOrders to 7: The engine will ONLY trigger a Buy Entry if 7 or more modules return a valid "Buy" signal on the same closed candle. If only 6 modules agree, the trade is rejected. This allows you to mix "Leading" indicators (Oscillators) with "Lagging" indicators (Moving Averages) to create a high-probability entry signal that requires momentum, volume, and trend to all be in alignment. 4. Technical Deep Dive: The 12 Modules Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading. Module 1: Modified Slope Angle (MSA) Logic: Calculates the geometric angle of a moving average relative to the timeline. Function: It filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. This helps avoid entering trades during weak drifts that often precede a reversal. Module 2: Correlation Trend Indicator (CTI) Logic: Based on John Ehlers' work, this measures how closely the current price action correlates to a straight line (a perfect trend). Function: It outputs a confidence score (-1 to 1). Gypsy Bot uses this to ensure that we are not just moving up, but moving up with high statistical correlation, reducing fake-outs. Module 3: Ehlers Roofing Filter Logic: A sophisticated spectral filter that combines a High-Pass filter (to remove long-term drift) with a Super Smoother (to remove high-frequency noise). Function: It attempts to isolate the "Roof" of the price action. It is excellent at catching cyclical turning points before standard moving averages react. Module 4: Forecast Oscillator Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is. Function: When the Forecast Oscillator crosses its zero line, it indicates that the regression trend has flipped. We offer both "Aggressive" and "Conservative" calculation modes for this module. Module 5: Chandelier ATR Stop Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from the highest high (for longs) or lowest low (for shorts). Function: Used here as an entry filter. If price is above the Chandelier line, the trend is Bullish. It also includes a "Bull/Bear Qualifier" check to ensure structural support. Module 6: Crypto Market Breadth (CMB) Logic: This is a macro-filter. It pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts) across different exchanges. Function: It calculates a "Market Health" percentage. If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade, ensuring you don't buy into a "fake" rally driven by a single asset. Module 7: Directional Index Convergence (DIC) Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices. Function: Identifies when trend strength is expanding. A buy signal is generated only when the positive directional movement overpowers the negative movement with expanding momentum. Module 8: Market Thrust Indicator (MTI) Logic: A volume-weighted breadth indicator. It uses Advance/Decline data and Up/Down Volume data. Function: This is one of the most powerful modules. It confirms that price movement is supported by actual volume flow. We recommend using the "SSMA" (Super Smoother) MA Type for the cleanest signals on the 4H chart. Module 9: Simple Ichimoku Cloud Logic: Traditional Japanese trend analysis using the Tenkan-sen and Kijun-sen. Function: Checks for a "Kumo Breakout." Price must be fully above the Cloud (for longs) or below it (for shorts). This is a classic "trend confirmation" module. Module 10: Simple Harmonic Oscillator Logic: Analyzes the harmonic wave properties of price action to detect cyclical tops and bottoms. Function: Serves as a counter-trend or early-reversal detector. It tries to identify when a cycle has bottomed out (for buys) or topped out (for sells) before the main trend indicators catch up. Module 11: HSRS Compression / Super AO Logic: Two options in one. HSRS: Hirashima Sugita Resistance Support. Detects volatility compression (squeezes) relative to dynamic support/resistance bands. Super AO: A combination of the Awesome Oscillator and SuperTrend logic. Function: Great for catching explosive moves that result from periods of low volatility (consolidation). Module 12: Fisher Transform (MTF) Logic: Converts price data into a Gaussian normal distribution. Function: Identifies extreme price deviations. This module uses Multi-Timeframe (MTF) logic to look at higher-timeframe trends (e.g., looking at the Daily Fisher while trading the 4H chart) to ensure you aren't trading against the major trend. 5. Global Inhibitors (The Veto Power) Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. If any of these are triggered, the trade is blocked. Bitcoin Halving Logic: Hardcoded dates for past and projected future Bitcoin halvings (up to 2040). Trading is inhibited or restricted during the chaotic weeks immediately surrounding a Halving event to avoid volatility crushes. Miner Capitulation: Uses Hash Rate Ribbons (Moving averages of Hash Rate). If miners are capitulating (Shutting down rigs due to unprofitability), the engine flags a "Bearish" regime and can flip logic to Short-only or flat. ADX Filter (Flat Market Protocol): If the Average Directional Index (ADX) is below a specific threshold (e.g., 20), the market is deemed "Flat/Choppy." The bot will refuse to open trend-following trades in a flat market. CryptoCap Trend: Checks the total Crypto Market Cap chart. If the broad market is in a downtrend, it can inhibit Long entries on individual altcoins. 6. Risk Management & The Dump Protection Team (DPT) Gypsy Bot separates "Entry Logic" from "Risk Management Logic." Dump Protection Team (DPT) This is a specialized logic branch designed to save the account during Black Swan events. Nuke Protection: If the DPT detects a volatility signature consistent with a flash crash, it overrides all other logic and forces an immediate exit. Moon Protection: If a parabolic pump is detected that violates statistical probability (Bollinger deviations), DPT can force a profit take before the inevitable correction. Advanced Adaptive Trailing Stop (AATS) Unlike a static trailing stop (e.g., "trail by 5%"), AATS is dynamic. Penthouse Level: If price is at the top of the HSRS channel (High Volatility), the stop loosens to allow for wicks. Dungeon Level: If price is compressed at the bottom, the stop tightens to protect capital. Staged Take Profits TP1: Scalp a portion (e.g., 10%) to cover fees and secure a win. TP2: Take the bulk of profit. TP3: Leave a "Runner" position with a loose trailing stop to catch "Moon" moves. 7. Recommended Setup Guide When applying Gypsy Bot to a new chart, follow this sequence: Set Timeframe: 4 Hours (4H). Reset: Turn OFF Trailing Stop, Stop Loss, and Take Profits. (We want to see raw entry performance first). Tune DPT: Adjust "Dump/Moon Protection" inputs first. These have the highest impact on net performance. Tune Module 8 (MTI): This module is a heavy filter. Experiment with the MA Type (SSMA is recommended). Select Modules: Enable/Disable modules 1-12 based on the asset's personality (Trending vs. Ranging). Voting Threshold: Adjust ActivateOrders. A lower number = More Trades (Aggressive). A higher number = Fewer, higher conviction trades (Conservative). Final Polish: Re-enable Stop Losses, Trailing Stops, and Staged Take Profits to smooth the equity curve and define your max risk per trade. 8. Technical Specs Engine Version: Pine Script V6 Repainting: This strategy uses Closed Candle data for all Risk Management and Entry decisions. This ensures that Backtest results align closely with real-time behavior (no repainting of historical signals). Alerts: This script generates Strategy alerts. If you require visual-only alerts, see the source code header for instructions on switching to "Study" (Indicator) mode. Disclaimer: This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Use this tool to assist your own decision-making, not to replace it. 9. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.

Fisher Transform on RSI Overview The Fisher Transform on RSI indicator combines the Relative Strength Index (RSI) with the Fisher Transform to offer a refined tool for identifying market turning points and trends. By applying the Fisher Transform to the RSI, this indicator converts RSI values into a Gaussian normal distribution, enhancing the precision of detecting overbought and oversold conditions. This method provides a clearer and more accurate identification of potential market reversals than the standard RSI. Key/Unique Features Fisher Transform Applied to RSI : Transforms RSI values into a Gaussian normal distribution, improving the detection of overbought and oversold conditions. Smoothing : Applies additional smoothing to the Fisher Transform, reducing noise and providing clearer signals. Signal Line : Includes a signal line to identify crossover points, indicating potential buy or sell signals. Custom Alerts : Built-in alert conditions for bullish and bearish crossovers, keeping traders informed of significant market movements. Visual Enhancements : Background color changes based on crossover conditions, offering immediate visual cues for potential trading opportunities. How It Works RSI Calculation : The indicator calculates the Relative Strength Index (RSI) based on the selected source and period length. Normalization : The RSI values are normalized to fit within a range of -1 to 1, which is essential for the Fisher Transform. Fisher Transform : The normalized RSI values undergo the Fisher Transform, converting them into a Gaussian normal distribution. Smoothing : The transformed values are smoothed using a simple moving average to reduce noise and provide more reliable signals. Signal Line : A signal line, which is a simple moving average of the smoothed Fisher Transform, is plotted to identify crossover points. Alerts and Visuals : Custom alert conditions are set for bullish and bearish crossovers, and the background color changes to indicate these conditions. Usage Instructions Trend Identification : Use the Fisher Transform on RSI to identify overbought and oversold conditions with enhanced precision, aiding in spotting potential trend reversals. Trade Signals : Monitor the crossovers between the smoothed Fisher Transform and the signal line. A bullish crossover suggests a potential buying opportunity, while a bearish crossover indicates a potential selling opportunity. Alerts : Set custom alerts based on the built-in conditions to receive notifications when important crossover events occur, ensuring you never miss a trading opportunity. Visual Cues : Utilize the background color changes to quickly identify bullish (green) and bearish (red) conditions, providing immediate visual feedback on market sentiment. Complementary Analysis : Combine this indicator with other technical analysis tools and indicators to enhance your overall trading strategy and make more informed decisions.

Markov Chain Trend Indicator Overview The Markov Chain Trend Indicator utilizes the principles of Markov Chain processes to analyze stock price movements and predict future trends. By calculating the probabilities of transitioning between different market states (Uptrend, Downtrend, and Sideways), this indicator provides traders with valuable insights into market dynamics. Key Features State Identification: Differentiates between Uptrend, Downtrend, and Sideways states based on price movements. Transition Probability Calculation: Calculates the probability of transitioning from one state to another using historical data. Real-time Dashboard: Displays the probabilities of each state on the chart, helping traders make informed decisions. Background Color Coding: Visually represents the current market state with background colors for easy interpretation. Concepts Underlying the Calculations Markov Chains: A stochastic process where the probability of moving to the next state depends only on the current state, not on the sequence of events that preceded it. Logarithmic Returns: Used to normalize price changes and identify states based on significant movements. Transition Matrices: Utilized to store and calculate the probabilities of moving from one state to another. How It Works The indicator first calculates the logarithmic returns of the stock price to identify significant movements. Based on these returns, it determines the current state (Uptrend, Downtrend, or Sideways). It then updates the transition matrices to keep track of how often the price moves from one state to another. Using these matrices, the indicator calculates the probabilities of transitioning to each state and displays this information on the chart. How Traders Can Use It Traders can use the Markov Chain Trend Indicator to: Identify Market Trends: Quickly determine if the market is in an uptrend, downtrend, or sideways state. Predict Future Movements: Use the transition probabilities to forecast potential market movements and make informed trading decisions. Enhance Trading Strategies: Combine with other technical indicators to refine entry and exit points based on predicted trends. Example Usage Instructions Add the Markov Chain Trend Indicator to your TradingView chart. Observe the background color to quickly identify the current market state: Green for Uptrend, Red for Downtrend, Gray for Sideways Check the dashboard label to see the probabilities of transitioning to each state. Use these probabilities to anticipate market movements and adjust your trading strategy accordingly. Combine the indicator with other technical analysis tools for more robust decision-making.

Persistent Homology Based Trend Strength Oscillator Persistent Homology Based Trend Strength Oscillator The Persistent Homology Based Trend Strength Oscillator is a unique and powerful tool designed to measure the persistence of market trends over a specified rolling window. By applying the principles of persistent homology, this indicator provides traders with valuable insights into the strength and stability of uptrends and downtrends, helping to inform better trading decisions. What Makes This Indicator Original? This indicator's originality lies in its application of persistent homology , a method from topological data analysis, to financial markets. Persistent homology examines the shape and features of data across multiple scales, identifying patterns that persist as the scale changes. By adapting this concept, the oscillator tracks the persistence of uptrends and downtrends in price data, offering a novel approach to trend analysis. Concepts Underlying the Calculations: Persistent Homology: This method identifies features such as clusters, holes, and voids that persist as the scale changes. In the context of this indicator, it tracks the duration and stability of price trends. Rolling Window Analysis: The oscillator uses a specified window size to calculate the average length of uptrends and downtrends, providing a dynamic view of trend persistence over time. Threshold-Based Trend Identification: It differentiates between uptrends and downtrends based on specified thresholds for price changes, ensuring precision in trend detection. How It Works: The oscillator monitors consecutive changes in closing prices to identify uptrends and downtrends. An uptrend is detected when the closing price increase exceeds a specified positive threshold. A downtrend is detected when the closing price decrease exceeds a specified negative threshold. The lengths of these trends are recorded and averaged over the chosen window size. The Trend Persistence Index is calculated as the difference between the average uptrend length and the average downtrend length, providing a measure of trend persistence. How Traders Can Use It: Identify Trend Strength: The Trend Persistence Index offers a clear measure of the strength and stability of uptrends and downtrends. A higher value indicates stronger and more persistent uptrends, while a lower value suggests stronger and more persistent downtrends. Spot Trend Reversals: Significant shifts in the Trend Persistence Index can signal potential trend reversals. For instance, a transition from positive to negative values might indicate a shift from an uptrend to a downtrend. Confirm Trends: Use the Trend Persistence Index alongside other technical indicators to confirm the strength and duration of trends, enhancing the accuracy of your trading signals. Manage Risk: Understanding trend persistence can help traders manage risk by identifying periods of high trend stability versus periods of potential volatility. This can be crucial for timing entries and exits. Example Usage: Default Settings: Start with the default settings to get a feel for the oscillator’s behavior. Observe how the Trend Persistence Index reacts to different market conditions. Adjust Thresholds: Fine-tune the positive and negative thresholds based on the asset's volatility to improve trend detection accuracy. Combine with Other Indicators: Use the Persistent Homology Based Trend Strength Oscillator in conjunction with other technical indicators such as moving averages, RSI, or MACD for a comprehensive analysis. Backtesting: Conduct backtesting to see how the oscillator would have performed in past market conditions, helping you to refine your trading strategy.

BBTrend w SuperTrend decision - Strategy [presentTrading]This strategy aims to improve upon the performance of Traidngview's newly published "BB Trend" indicator by incorporating the SuperTrend for better trade execution and risk management. Enjoy :) █Introduction and How it is Different The "BBTrend w SuperTrend decision - Strategy " is a trading strategy designed to identify market trends using Bollinger Bands and SuperTrend indicators. What sets this strategy apart is its use of two Bollinger Bands with different lengths to capture both short-term and long-term market trends, providing a more comprehensive view of market dynamics. Additionally, the strategy includes customizable take profit (TP) and stop loss (SL) settings, allowing traders to tailor their risk management according to their preferences. BTCUSD 4h Long Performance █ Strategy, How It Works: Detailed Explanation The BBTrend strategy employs two key indicators: Bollinger Bands and SuperTrend. 🔶 Bollinger Bands Calculation: - Short Bollinger Bands**: Calculated using a shorter period (default 20). - Long Bollinger Bands**: Calculated using a longer period (default 50). - Bollinger Bands use the standard deviation of price data to create upper and lower bands around a moving average. Upper Band = Middle Band + (k * Standard Deviation) Lower Band = Middle Band - (k * Standard Deviation) 🔶 BBTrend Indicator: - The BBTrend indicator is derived from the absolute differences between the short and long Bollinger Bands' lower and upper values. BBTrend = (|Short Lower - Long Lower| - |Short Upper - Long Upper|) / Short Middle * 100 🔶 SuperTrend Indicator: - The SuperTrend indicator is calculated using the average true range (ATR) and a multiplier. It helps identify the market trend direction by plotting levels above and below the price, which act as dynamic support and resistance levels. * @EliCobra makes the SuperTrend Toolkit. He is GOAT. SuperTrend Upper = HL2 + (Factor * ATR) SuperTrend Lower = HL2 - (Factor * ATR) The strategy determines market trends by checking if the close price is above or below the SuperTrend values: - Uptrend: Close price is above the SuperTrend lower band. - Downtrend: Close price is below the SuperTrend upper band. Short: 10 Long: 20 std 2 Short: 20 Long: 40 std 2 Short: 20 Long: 40 std 4 █ Trade Direction The strategy allows traders to choose their trading direction: - Long: Enter long positions only. - Short: Enter short positions only. - Both: Enter both long and short positions based on market conditions. █ Usage To use the "BBTrend - Strategy " effectively: 1. Configure Inputs: Adjust the Bollinger Bands lengths, standard deviation multiplier, and SuperTrend settings. 2. Set TPSL Conditions: Choose the take profit and stop loss percentages to manage risk. 3. Choose Trade Direction: Decide whether to trade long, short, or both directions. 4. Apply Strategy: Apply the strategy to your chart and monitor the signals for potential trades. █ Default Settings The default settings are designed to provide a balance between sensitivity and stability: - Short BB Length (20): Captures short-term market trends. - Long BB Length (50): Captures long-term market trends. - StdDev (2.0): Determines the width of the Bollinger Bands. - SuperTrend Length (10): Period for calculating the ATR. - SuperTrend Factor (12): Multiplier for the ATR to adjust the SuperTrend sensitivity. - Take Profit (30%): Sets the level at which profits are taken. - Stop Loss (20%): Sets the level at which losses are cut to manage risk. Effect on Performance - Short BB Length: A shorter length makes the strategy more responsive to recent price changes but can generate more false signals. - Long BB Length: A longer length provides smoother trend signals but may be slower to react to price changes. - StdDev: Higher values create wider bands, reducing the frequency of signals but increasing their reliability. - SuperTrend Length and Factor: Shorter lengths and higher factors make the SuperTrend more sensitive, providing quicker signals but potentially more noise. - Take Profit and Stop Loss: Adjusting these levels affects the risk-reward ratio. Higher take profit percentages can increase gains but may result in fewer closed trades, while higher stop loss percentages can decrease the likelihood of being stopped out but increase potential losses.

Advanced Fractal and Hurst Indicator Advanced Fractal and Hurst Indicator (AFHI) Description: The Advanced Fractal and Hurst Indicator (AFHI) is a custom technical analysis tool designed to identify market trends and potential reversals by leveraging the concepts of Fractal Dimension and the Hurst Exponent . These advanced mathematical concepts provide insights into the complexity and persistence of price movements, making this indicator a powerful addition to any trader's toolkit. How It Works: Fractal Dimension (FD) : The Fractal Dimension measures the complexity of price movements. A higher Fractal Dimension indicates a more complex, choppy market, while a lower value suggests smoother trends. The FD is calculated using the log difference of price movements over a specified length. Hurst Exponent (HE) : The Hurst Exponent indicates the tendency of a time series to either regress to the mean or cluster in a direction. Values below 0.5 indicate a tendency to revert to the mean (mean-reverting), while values above 0.5 suggest a trending market. The HE is calculated using the rescaled range method, comparing the range of price movements to the standard deviation. Composite Indicator : The Composite Indicator combines the smoothed Fractal Dimension and Hurst Exponent to provide a single value indicating market conditions. This is done by normalizing the FD and HE values and combining them into one metric. A positive Composite Indicator suggests an uptrend, while a negative value indicates a downtrend. Smoothing : Both FD and HE values are smoothed using a simple moving average to reduce noise and provide clearer signals. Trend Confirmation : A 50-period moving average (MA) is used to confirm the trend direction. The price being above the MA indicates an uptrend, while below the MA indicates a downtrend. Background Shading : The indicator pane is shaded green during uptrend conditions (positive Composite Indicator and price above MA) and red during downtrend conditions (negative Composite Indicator and price below MA). How Traders Can Use It: Identifying Trends : Traders can use the AFHI to identify current market trends. The background shading in the indicator pane provides a visual cue for trend direction, with green indicating an uptrend and red indicating a downtrend. Trend Confirmation : The Composite Indicator line, plotted in purple, helps confirm the trend. Positive values suggest a strong uptrend, while negative values indicate a strong downtrend. Entry and Exit Signals : Traders can use the transitions of the Composite Indicator and the background shading to time their entry and exit points. For instance, a shift from red to green shading suggests a potential buy opportunity, while a shift from green to red suggests a potential sell opportunity. Alerts : The script includes alert conditions that can notify traders when the Composite Indicator signals a new trend direction. Alerts can be set up for both uptrends and downtrends, helping traders stay informed of key market changes. Strategy Development : By integrating AFHI into their trading strategies, traders can develop more robust systems that account for market complexity and persistence. The indicator can be used alongside other technical tools to enhance decision-making and improve trade accuracy.