PowerHouse SwiftEdge AI v2.10 with Custom Filters & AI AnalysisPowerHouse SwiftEdge AI v2.10 with Custom Filters & AI Analysis
Overview
PowerHouse SwiftEdge AI v2.10 is an advanced TradingView Pine Script indicator designed to identify high-probability trading setups by combining pivot-based structure analysis, multi-timeframe trend detection, and adaptive AI-driven signal filtering. The script integrates Change of Character (CHoCH) and Break of Structure (BOS) signals with customizable momentum, volume, breakout, and trend filters to enhance trade precision. Additionally, it offers an optional AI Market Analysis module that predicts future price trends across multiple timeframes, providing traders with a comprehensive market outlook.
The script is highly customizable, allowing users to tailor inputs to their trading style, whether for scalping, swing trading, or long-term strategies. It is suitable for all asset classes, including stocks, forex, crypto, and commodities, and performs optimally on timeframes ranging from 1-minute to daily charts.
Key Features
Pivot-Based Signal Generation:
Identifies pivot highs and lows to detect CHoCH (reversal patterns) and BOS (continuation patterns).
Signals are plotted as "Buy" or "Sell" labels with optional "Get Ready" pre-signals to prepare traders for potential setups.
Take-profit (TP) levels are automatically calculated based on user-defined points, with optional TP box visualization.
Multi-Timeframe Trend Analysis:
Analyzes trends across seven timeframes (1M, 5M, 15M, 30M, 1H, 4H, D) using EMA and VWAP to determine bullish, bearish, or neutral conditions.
Displays a futuristic AI-Trend Matrix dashboard showing trend direction, strength, and confidence levels for quick decision-making.
Customizable Signal Filters:
Momentum Filter: Ensures signals align with significant price changes, adjusted dynamically using ATR-based volatility.
Higher Timeframe Trend Filter: Requires signals to align with the trend of a user-selected higher timeframe (e.g., 1H).
Lower Timeframe Trend Filter: Prevents signals that conflict with the trend of a user-selected lower timeframe (e.g., 5M).
Volume Filter: Optionally requires above-average volume to confirm signals.
Breakout Filter: Optionally requires price to break previous highs/lows for signal validation.
Repeated Signal Restriction: Prevents consecutive signals in the same trend direction until the trend changes on a user-defined timeframe.
AI-Driven Adaptivity:
Incorporates Cumulative Volume Delta (CVD) to assess buying/selling pressure and classify market volatility (Low, Medium, High).
Uses ATR to dynamically adjust momentum thresholds, ensuring signals adapt to current market conditions.
Optional AI Market Analysis module predicts trends across multiple timeframes by combining trend, momentum, and volatility scores.
Visual Elements:
Plots CHoCH and BOS levels as horizontal lines with distinct colors (aqua for CHoCH sell, lime for CHoCH buy, fuchsia for BOS sell, teal for BOS buy).
Draws dynamic support and resistance trendlines based on short and long-term price action, colored by trend strength.
Displays TP levels and pivot highs/lows for easy reference.
How It Works
The script combines several technical analysis concepts to create a robust trading system:
Market Structure Analysis:
Pivot highs and lows are identified using a user-defined lookback period (Pivot Length).
CHoCH occurs when price crosses below a pivot high (bearish reversal) or above a pivot low (bullish reversal).
BOS occurs when price breaks a previous pivot low (bearish continuation) or pivot high (bullish continuation).
Trend and Momentum Integration:
Trends are determined by comparing price to EMA and VWAP on multiple timeframes.
Momentum is calculated as the percentage price change, with thresholds adjusted by ATR to account for volatility.
"Get Ready" signals appear when momentum approaches the threshold, preparing traders for potential CHoCH or BOS signals.
Signal Filtering:
Filters ensure signals align with user-defined criteria (e.g., trend direction, volume, breakouts).
The Restrict Repeated Signals option prevents over-signaling by requiring a trend change on a specified timeframe before generating a new signal in the same direction.
AI Market Analysis:
The optional AI module calculates a score for each timeframe based on trend direction, momentum, and volatility (ATR compared to its SMA).
Scores are translated into predictions (▲ for bullish, ▼ for bearish, — for neutral), displayed in a dedicated table.
CVD and Volatility Context:
CVD tracks buying vs. selling pressure by accumulating volume based on price direction.
Volatility is classified using CVD magnitude, influencing the script’s visual cues and signal sensitivity.
Why This Combination?
The integration of pivot-based structure analysis, multi-timeframe trend filtering, and AI-driven adaptivity addresses common trading challenges:
Precision: CHoCH and BOS signals focus on key market turning points, reducing noise from minor price fluctuations.
Context: Multi-timeframe analysis ensures trades align with broader market trends, improving win rates.
Adaptivity: ATR and CVD adjustments make the script responsive to changing market conditions, avoiding static thresholds that fail in volatile or quiet markets.
Customization: Extensive input options allow traders to adapt the script to their preferred markets, timeframes, and risk profiles.
Predictive Insight: The AI Market Analysis module provides forward-looking trend predictions, helping traders anticipate market moves.
This combination creates a self-contained system that balances responsiveness with reliability, making it suitable for both novice and experienced traders.
How to Use
Add to Chart:
Apply the indicator to your TradingView chart for any asset and timeframe.
Recommended timeframes: 5M to 1H for scalping/day trading, 4H to D for swing trading.
Configure Inputs:
Pivot Length: Adjust (default 5) to control sensitivity to pivot highs/lows. Lower values for faster signals, higher for stronger confirmations.
Momentum Threshold: Set the minimum price change (default 0.01%) for signals. Increase for stricter conditions.
Take Profit Points: Define TP distance (default 10 points). Adjust based on asset volatility.
Signal Filters: Enable/disable filters (momentum, trend, volume, breakout) to match your strategy.
Higher/Lower Timeframe: Select timeframes for trend alignment (e.g., 1H for higher, 5M for lower).
AI Market Analysis: Enable for predictive trend insights across timeframes.
Get Ready Signals: Enable to see pre-signals for potential setups.
Interpret Signals:
Buy/Sell Labels: Act on green "Buy" or red "Sell" labels, confirming with TP levels and trend direction.
Get Ready Labels: Yellow "Get Ready BUY" or orange "Get Ready SELL" indicate potential setups; prepare but wait for confirmation.
CHoCH/BOS Lines: Use aqua/lime (CHoCH) and fuchsia/teal (BOS) lines as key support/resistance levels.
AI-Trend Matrix: Check the top-right dashboard for trend strength (%), confidence (%), and timeframe-specific trends.
AI Market Analysis Table: If enabled, view predictions (▲/▼/—) for each timeframe to anticipate market direction.
Trading Tips:
Combine signals with other indicators (e.g., RSI, MACD) for additional confirmation.
Use higher timeframe trend alignment for higher-probability trades.
Adjust TP and signal distance based on asset volatility and trading style.
Monitor the AI-Trend Matrix for trend strength; values above 50% or below -50% indicate strong directional bias.
Originality
PowerHouse SwiftEdge AI v2.10 stands out due to its unique blend of:
Adaptive Signal Generation: ATR-based momentum thresholds and CVD-driven volatility context ensure signals remain relevant across market conditions.
Multi-Timeframe Synergy: The script’s ability to filter signals based on both higher and lower timeframe trends provides a rare balance of precision and context.
AI-Powered Insights: The AI Market Analysis module offers predictive capabilities not commonly found in traditional indicators, simulating institutional-grade analysis.
Visual Clarity: The futuristic dashboard and color-coded trendlines make complex data accessible, enhancing usability for all trader levels.
Unlike standalone pivot or trend indicators, this script integrates multiple layers of analysis into a cohesive system, reducing false signals and providing actionable insights without requiring external tools or research.
Limitations
False Signals: No indicator is foolproof; signals may fail in choppy or low-volume markets. Use filters to mitigate.
Timeframe Sensitivity: Performance varies by timeframe and asset. Test settings thoroughly.
AI Predictions: The AI Market Analysis is based on historical data and simplified scoring; it’s not a guaranteed forecast.
Resource Usage: Enabling all filters and AI analysis may slow performance on lower-end devices.
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Kioseff Trading - AI-Powered Strategy Optimizer Introducing the Kioseff Trading AI-Powered Strategy Optimizer
Optimize and build your trading strategy with ease, no matter your experience level. The Kioseff Trading AI-Powered Strategy Optimizer allows traders to efficiently test and refine strategies with thousands of different profit targets and stop loss settings. Integrated with TradingView's backtester, this tool simplifies strategy optimization, strategy testing, and alert setting, enabling you to enhance your strategy with AI-driven insights.
Key Features:
Comprehensive Testing : Simultaneously test thousands of profit targets and stop losses to fine-tune your strategy.
Dual Strategy Optimization : Adjust and optimize both long and short strategies for balanced performance.
AI Integration : Elevate your strategy with heuristic-based adaptive learning, turning it into a smart, AI-assisted system.
Detailed Analysis : View critical metrics like profit factor, win rate, max drawdown, and equity curve, presented in a strategy script format.
Customizable Alerts : Set alerts for the best version of your strategy.
Flexible Risk Management : Optimize various stop loss types, including profit targets, limit orders, OCO orders, trailing stops, and fixed stops.
Targeted Goals : Choose optimization goals like highest win rate, maximum net profit, or most efficient profit.
Indicator Compatibility : Integrate any strategy/indicator, whether it’s your creation, a favorite author’s, or any public TradingView indicator.
Accessible Design : Navigate a user-friendly interface suitable for traders of all skill levels. No code required.
Precision Lock-In : “Lock” your optimal profit target or stop loss to drill down into precision testing of other variables.
How it works
It's important to remember that merely having the AI-Powered Strategy Optimizer on your chart doesn't automatically provide you with the best strategy. You need to follow the AI's guidance through an iterative process to discover the optimal settings for your strategy.
The Trading Strategy Optimizer is a versatile tool tailored for both non-coding traders and seasoned algorithmic trading professionals. Let's start with no-code-required instructions on how to use the optimizer.
Instructions: How To Optimize Your Strategy Without Code
1. Build your strategy in the settings
The image above shows explanations for each key setting.
Note: This example uses the RSI indicator to initiate a long trade whenever it dips below the 30 mark.
Ensure that the indicator you wish to optimize is already applied to your chart . This enables the Trading Strategy Optimizer to interact with the indicator and finetune profit targets and stop losses effectively.
Because the indicator is plotted on the chart I can access the indicator with the Trading Strategy Optimizer and optimize profit targets and stop losses for it.
2. Leverage AI Recommendations
Optimization Prompt: After you load your strategy, the tool advises you on new TP and SL levels that could be more profitable.
When your strategy is set, the tool gives you tips for where to set your profit goal (TP) and your stop loss to help you optimize your strategy. It'll tell you if there's a better range for these settings based on past results.
Follow Suggestions: Keep updating your TP and SL according to the tool's suggestions until it says "Best Found".
Final Result: The last image shows the best settings found by the indicator.
(Optional Step 3)
3. Lock the profit target or stop loss to further fine tune your strategy
Continue following the AI’s suggestion until “Best Found” is displayed.
Note: you can select lock either your stop loss or profit target for fine tuning. For this demonstration we will lock our profit target.
Code-Required Instructions (Optional)
You can backtest more code-intensive strategies, such as harmonic patterns, traditional chart patterns, candlestick patterns, Elliot wave, etc., by coding the entry condition in your own script and loading it into the Trading Strategy Optimizer. Let's dial in on how to achieve this!
1. You must create an integer variable in your script with an initial value of "0".
2. Define your entry condition in the code. Once complete, assign the value "1" to the variable you created if the entry condition is fulfilled.
3. Plot your variable.
4. Select the plotted variable in the settings for the Trading Strategy Optimizer
The image above shows a coded entry condition for the linear regression channel (which can be any indicator). When price crosses under and closes below the lower line our variable "strategyEntryVariable" is assigned the value "1".
The Trading Strategy Optimizer will treat this change in value from "0" to "1" as an entry signal and enter long/short up to 1000 times at the price where the entry condition was fulfilled.
5. Test Your Strategy
The image above shows the completion of the process! Keep applying the steps we described. Stick with the AI's recommendations until you see “Best Found” show up.
By following these instructions, you can build, test, and optimize almost any trading indicator or strategy!
So, just note that the Trading Strategy Optimizer considers a change in value of a plotted variable from "0" to "1" as an entry signal! So long as you follow this rule you should be able to test and optimize any conceivable, Pine Script compatible strategy!
AI Mode
AI Mode incorporates Heuristic-Based Adaptive Learning to fine-tune trading strategies in a continuous manner. This feature consists of two main components:
Heuristic-Based Decision Making: The algorithm evaluates multiple versions of your strategy using specific metrics such as Profit and Loss (PNL), Win Rate, and Most Efficient Profit. These metrics act as heuristics to assist the algorithm in identifying suitable profit targets and stop losses for trade execution.
Online Learning: The algorithm updates the performance evaluations of each strategy based on incoming market data. This enables the system to adapt to current market conditions.
Incorporating both heuristic-based decision-making and online learning, this feature aims to provide a framework for trading strategy optimization.
Settings
AI Mode Aggressiveness:
Description: The "AI Mode Aggressiveness" setting allows you to fine-tune the AI's trading behavior. This setting ranges from "Low" To "High, with higher aggressiveness indicating a more assertive trading approach.
Functionality: This feature filters trading strategies based on a proprietary evaluation method. A higher setting narrows down the strategies that the AI will consider, leaning towards more aggressive trading. Conversely, a lower setting allows for a more conservative approach by broadening the pool of potential strategies.
Adaptive Learning Aggressiveness:
Description: When Adaptive Learning is enabled, the "Adaptive Learning Aggressiveness" setting controls how dynamically the AI adapts to market conditions using selected performance metrics.
Functionality: This setting impacts the AI's responsiveness to shifts in strategy performance. By adjusting this setting, you can control how quickly the AI moves away from strategies that may have been historically successful but are currently underperforming, towards strategies that are showing current promise.
Additional Settings
Optimization
Trading system optimization is immensely advantageous when executed with prudence.
Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail.
Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
Wall Street Ai**Wall Street Ai – Advanced Technical Indicator for Market Analysis**
**Overview**
Wall Street Ai is an advanced, AI-powered technical indicator meticulously engineered to provide traders with in-depth market analysis and insight. By leveraging state-of-the-art artificial intelligence algorithms and comprehensive historical price data, Wall Street Ai is designed to identify significant market turning points and key price levels. Its sophisticated analytical framework enables traders to uncover potential shifts in market momentum, assisting in the formulation of strategic trading decisions while maintaining the highest standards of objectivity and reliability.
**Key Features**
- **Intelligent Pattern Recognition:**
Wall Street Ai employs advanced machine learning techniques to analyze historical price movements and detect recurring patterns. This capability allows it to differentiate between typical market noise and meaningful signals indicative of potential trend reversals.
- **Robust Noise Reduction:**
The indicator incorporates a refined volatility filtering system that minimizes the impact of minor price fluctuations. By isolating significant price movements, it ensures that the analytical output focuses on substantial market shifts rather than ephemeral variations.
- **Customizable Analytical Parameters:**
With a wide range of adjustable settings, Wall Street Ai can be fine-tuned to align with diverse trading strategies and risk appetites. Traders can modify sensitivity, threshold levels, and other critical parameters to optimize the indicator’s performance under various market conditions.
- **Comprehensive Data Analysis:**
By harnessing the power of artificial intelligence, Wall Street Ai performs a deep analysis of historical data, identifying statistically significant highs and lows. This analysis not only reflects past market behavior but also provides valuable insights into potential future turning points, thereby enhancing the predictive aspect of your trading strategy.
- **Adaptive Market Insights:**
The indicator’s dynamic algorithm continuously adjusts to current market conditions, adapting its analysis based on real-time data inputs. This adaptive quality ensures that the indicator remains relevant and effective across different market environments, whether the market is trending strongly, consolidating, or experiencing volatility.
- **Objective and Reliable Analysis:**
Wall Street Ai is built on a foundation of robust statistical methods and rigorous data validation. Its outputs are designed to be objective and free from any exaggerated claims, ensuring that traders receive a clear, unbiased view of market conditions.
**How It Works**
Wall Street Ai integrates advanced AI and deep learning methodologies to analyze a vast array of historical price data. Its core algorithm identifies and evaluates critical market levels by detecting patterns that have historically preceded significant market movements. By filtering out non-essential fluctuations, the indicator emphasizes key price extremes and trend changes that are likely to impact market behavior. The system’s adaptive nature allows it to recalibrate its analytical parameters in response to evolving market dynamics, providing a consistently reliable framework for market analysis.
**Usage Recommendations**
- **Optimal Timeframes:**
For the most effective application, it is recommended to utilize Wall Street Ai on higher timeframe charts, such as hourly (H1) or higher. This approach enhances the clarity of the detected patterns and provides a more comprehensive view of long-term market trends.
- **Market Versatility:**
Wall Street Ai is versatile and can be applied across a broad range of financial markets, including Forex, indices, commodities, cryptocurrencies, and equities. Its adaptable design ensures consistent performance regardless of the asset class being analyzed.
- **Complementary Analytical Tools:**
While Wall Street Ai provides profound insights into market behavior, it is best utilized in combination with other analytical tools and techniques. Integrating its analysis with additional indicators—such as trend lines, support/resistance levels, or momentum oscillators—can further refine your trading strategy and enhance decision-making.
- **Strategy Testing and Optimization:**
Traders are encouraged to test Wall Street Ai extensively in a simulated trading environment before deploying it in live markets. This allows for thorough calibration of its settings according to individual trading styles and risk management strategies, ensuring optimal performance across diverse market conditions.
**Risk Management and Best Practices**
Wall Street Ai is intended to serve as an analytical tool that supports informed trading decisions. However, as with any technical indicator, its outputs should be interpreted as part of a comprehensive trading strategy that includes robust risk management practices. Traders should continuously validate the indicator’s findings with additional analysis and maintain a disciplined approach to position sizing and risk control. Regular review and adjustment of trading strategies in response to market changes are essential to mitigate potential losses.
**Conclusion**
Wall Street Ai offers a cutting-edge, AI-driven approach to technical analysis, empowering traders with detailed market insights and the ability to identify potential turning points with precision. Its intelligent pattern recognition, adaptive analytical capabilities, and extensive noise reduction make it a valuable asset for both experienced traders and those new to market analysis. By integrating Wall Street Ai into your trading toolkit, you can enhance your understanding of market dynamics and develop a more robust, data-driven trading strategy—all while adhering to the highest standards of analytical integrity and performance.
Kameniczki AI RSI Pro v2.0Kameniczki AI RSI Pro v2.0 is an advanced technical indicator based on RSI (Relative Strength Index) with artificial intelligence that provides comprehensive market analysis with emphasis on safety and signal reliability. The indicator combines traditional RSI calculations with modern AI technologies for detecting high-quality trading opportunities.
Key Features:
AI Signal Quality Assessment
- Automatic signal quality rating on 0-100% scale
- Strict filtering to prevent false signals
- Trend confirmation with "falling knife" protection
- Momentum filter for detecting strong trends
Multi-Timeframe Analysis
- RSI analysis across 5 timeframes (5M, 15M, 30M, 1H, 4H)
- Alignment score calculation for trend direction confirmation
- Configurable threshold for MTF alignment (50-90%)
Smart Money Detection
- Detection of smart money accumulation and distribution
- Volume vs. price analysis for institutional activity identification
- Smart money strength calculation (0-100%)
Anomaly Detection System
- Early warning system for market anomalies
- Monitoring of price, volume, and volatility anomalies
- 4 anomaly levels: NORMAL, MEDIUM, HIGH, CRITICAL
- Comprehensive anomaly scoring (0-100 points)
Volume-Weighted RSI
- Volume-weighted RSI calculations
- Adaptive RSI lengths based on volatility
- Three RSI variants: Fast (7), Medium (14), Slow (21)
RSI Divergence Detection
- Automatic bullish and bearish divergence detection
- 20-bar lookback period for accurate identification
- Integration with AI signal quality
Dashboard and Visualization
Information Dashboard
- **SIGNAL**: Main trading signal with percentage score
- **ANOMALY**: Market anomaly status with color coding
- **MTF**: Multi-timeframe alignment percentages
- **SMART MONEY**: Accumulation/distribution status
- **DIVERGENCE**: Current RSI divergences
Signal Types
- **STRONG BUY/SELL**: Highest quality with trend confirmation
- **BUY/SELL**: Normal signals with percentage score
- **NEUTRAL**: No clear direction
Visual Effects
- Glowing colors for high AI quality (90%+)
- Modern AI color schemes
- RSI momentum histogram
- Critical zones for extreme levels
Settings
RSI Core Settings
- Base RSI Length: 5-100 (default 14)
- Fast RSI Length: 3-21 (default 7)
- Slow RSI Length: 14-50 (default 21)
- RSI Source: Price source for calculations
AI Enhancement
- Enable AI Signal Quality: AI quality rating
- AI Quality Threshold: 30-95% (default 70%)
- Enable Smart Money Detection: Smart money detection
- Enable Volume Weighting: Volume weighting
Multi-Timeframe Analysis
- Enable MTF Analysis: Multi-timeframe analysis
- MTF Weight: 10-50% (default 30%)
- MTF Alignment Threshold: 50-90% (default 75%)
Visual Settings
- Enable Glowing Effects: Bright colors for high quality
- Line Width: 1-5 (default 2)
- Zone Transparency: 50-95% (default 80%)
- Dashboard Position: 6 positioning options
- Customizable signal colors
Alert Settings
- Enable Alerts: Main alerts
- Enable Divergence Alerts: Divergence alerts
- Enable Smart Money Alerts: Smart money alerts
Alert System
Main Alerts (AI Quality ≥ 85%)
- SUPER RSI STRONG BUY/SELL: Highest priority
- SUPER RSI BUY/SELL: Normal signals
- Price, RSI, trend, and stress level information
Specialized Alerts
- BULLISH/BEARISH DIVERGENCE: RSI divergences
- ANOMALY CRITICAL/HIGH: Market anomalies
- SMART MONEY ACCUMULATION/DISTRIBUTION: Smart money activity
- MTF ALIGNMENT: Multi-timeframe alignment
Technical Specifications
Calculation Methods
- Volume-weighted RSI with adaptive lengths
- ATR-based volatility analysis
- EMA trend confirmation (20, 50, 200)
- Stress level calculation (KAMENICZKI AI 1.5.5)
Safety Mechanisms
- Momentum filter against counter-trend trading
- Trend confirmation requirements
- Volume confirmation for extreme signals
- Falling knife protection
Performance Optimization
- Max bars back: 500
- Efficient global variables
- Optimized functions for speed
Usage
The indicator is designed for professional traders who need reliable and safe signals with emphasis on quality over quantity. It combines traditional technical analysis with modern AI technologies for maximum accuracy and risk minimization.
PowerHouse SwiftEdge AI v2.10 StrategyOverview
The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style.
What It Does
This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses:
Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes.
Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets.
Volume Filter: Validates signals with above-average volume to confirm market participation.
Breakout Filter: Requires price to break key levels for added confirmation.
Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points.
AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually.
The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management.
How It Works
The strategy integrates multiple components to create a cohesive trading system:
Multi-Timeframe Trend Analysis:
The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise.
Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context.
Momentum Filter:
Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions.
Volume Filter (Optional):
Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts.
Breakout Filter (Optional):
Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market.
Smart Money Concepts (CHoCH/BOS):
Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively.
Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum.
These signals are plotted as horizontal lines with labels, making it easy to visualize key levels.
AI Trend Dashboard:
Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.”
Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context.
A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction.
Dynamic Trendlines:
Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength.
Why This Combination?
The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy:
Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets.
Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets.
Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis.
Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations.
The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity.
How to Use
Add to Chart:
Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M).
Configure Inputs:
Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals.
Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals.
Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management.
Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe.
Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style.
Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors.
AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position.
Interpret Signals:
Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted.
Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups.
CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels.
Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance.
AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral).
Backtest and Trade:
Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results.
Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels).
Originality and Value
The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets.
Important Notes:
Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable.
Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors.
Performance: Backtest thoroughly to optimize settings for your market and timeframe.
Smart Money Concepts + Fibonacci + EMA - AI Enhanced Analysis### █ OVERVIEW
This indicator is not just another "all-in-one" tool; it's a **specialized data visualization layer designed for the new era of AI-driven chart analysis**. The primary purpose of the **"NarmoonAI"** indicator is to structure and display key market information in a clean, consistent, and machine-readable format.
Standard charts can be noisy and ambiguous for AI Vision models (like Google's Gemini or OpenAI's GPT-4). This script solves that problem by consolidating the most crucial technical analysis concepts—Smart Money Concepts, Trend Analysis, and Key Levels—into a clear visual language that an AI can easily interpret from a single screenshot.
This approach allows traders to leverage the power of artificial intelligence for faster, more objective, and deeper market analysis. It's designed to work seamlessly with our custom AI assistant, the **NarmoonAI Telegram Bot**, but can be used with any modern AI vision tool.
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### █ CORE COMPONENTS & LOGIC
This indicator is a "mashup" with a clear purpose: to create a comprehensive yet clean analytical framework. Here is how each component contributes to the overall goal of AI-enhanced analysis:
**1. Smart Money Concepts (Supply & Demand Zones):**
* **How it works:** The script automatically identifies significant market turning points by detecting swing highs and lows using `ta.pivothigh` and `ta.pivotlow` over a user-defined `Swing Length`. These pivots form the basis of our Supply (resistance) and Demand (support) zones.
* **The "Smart" Edge:** To filter out weaker zones, the indicator analyzes the volume profile. Zones that are formed during periods of high volume (defined as >1.5x the 20-period simple moving average of volume) are highlighted in a stronger, more vibrant color. This signals areas of high institutional interest, a key concept in Smart Money analysis.
**2. Multi-Layered Trend Analysis (Exponential Moving Averages - EMAs):**
* **How it works:** We've included a customizable suite of four essential EMAs (20, 50, 100, and 200). These are not just random lines; they provide an instant visual reference for short, medium, and long-term trend direction and dynamic support/resistance.
* **Why it's useful for AI:** An AI can instantly parse the order and slope of these EMAs. For example, it can identify a strong uptrend when the price is above the 20 EMA, which is above the 50 EMA, and so on.
**3. Automatic Fibonacci Retracement:**
* **How it works:** Manually drawing Fibonacci levels is subjective and time-consuming. This script automates the process by identifying the highest high and lowest low over a `Fibonacci Lookback Period` (defaulting to 100 bars) and automatically plots the key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786).
* **Why it's useful for AI:** It provides objective, universally recognized potential support and resistance levels without any manual drawing, ensuring a clean and consistent chart for analysis.
**4. Dynamic Trend Channels:**
* **How it works:** The indicator automatically draws trend channels by connecting the two most recent significant pivot highs (for a downtrend channel) or pivot lows (for an uptrend channel).
* **The "Dynamic" Edge:** The width of the channel is not fixed. It's dynamically calculated using the Average True Range (ATR), allowing the channel to expand and contract based on the market's current volatility. This provides a much more adaptive and realistic view of the trend's boundaries.
---
### █ HOW TO USE THIS INDICATOR
There are two primary ways to use the NarmoonAI indicator:
**A) For AI-Powered Analysis (Recommended):**
1. Apply the **NarmoonAI** indicator to any chart.
2. Take a clean screenshot of your chart.
3. Upload the image to your preferred AI Vision model (e.g., Gemini, ChatGPT) or, for the best results, use our specialized **NarmoonAI Telegram bot**.
4. Ask the AI for a detailed analysis. **Example Prompts:**
* *"Based on this chart, what is the current market structure? Identify key support and resistance levels."*
* *"Is there a potential long setup forming according to the information from the NarmoonAI indicator?"*
* *"Summarize the trend direction and strength using the EMAs and trend channels shown."*
**B) For Manual Trading:**
Traders can use the confluence of signals for high-probability setups:
* **High-Probability Long:** Look for the price to enter a **Strong Demand Zone** that aligns with a key **Fibonacci level** (e.g., 0.618) and is respected by a major **EMA** (e.g., the 50 or 100 EMA).
* **High-Probability Short:** Look for the price to test a **Strong Supply Zone** near the top of a **descending trend channel**, with EMAs confirming the bearish momentum.
---
*This script was created by NarmoonAI to bridge the gap between traditional technical analysis and the powerful capabilities of modern artificial intelligence. We believe this is the future of trading analysis.*
SuperTrend V · AI Buy/Sell超级趋势 V · AI 买卖 + 止盈提示简介 / Overview
中文：
本指标在经典 SuperTrend 上加入了体量价差（VPT）平滑与“参考均线”过滤，给出 AI 买入/卖出 信号（规则化的过滤逻辑，非机器学习），并在价格触及动态止盈通道时打出 “止盈” 圆点。每笔信号之间自动跟踪并标注 峰值收益（可显示杠杆倍数），用于回顾交易潜在的最大浮盈。适合趋势/波段交易与告警联动。
English:
This indicator enhances classic SuperTrend with VPT-style smoothing and a reference EMA filter to emit AI Buy/Sell signals (rule-based, not ML). It plots TP dots when price hits a dynamic take-profit channel and labels the Peak Profit reached between opposite signals (with optional leverage display). Designed for trend/swing trading and alerts.
使用方法 / How to Use
中文：
将指标加到任意品种图表（默认 15 分钟～4 小时均可）。
观察两条“参考均线”：红线=参考均线、蓝线=开盘均线。当红线在蓝线上方时偏多，反之偏空（图中填充区也会切色）。
AI 买入：价格向上穿越 SuperTrend 线，且收盘价位于蓝线之上；AI 卖出：价格向下穿越 SuperTrend 线，且收盘价位于蓝线之下。
出现 “止盈” 圆点（TP）代表价格触达动态带（基于线性回归+σ通道）。可作为分批止盈/加减仓的参考。
当下一次出现相反方向的 AI 信号时，会在本轮交易的峰值位置打出 “峰值收益 xx% (100x)” 标签，用于复盘。
需要自动提醒：在图表右键 → “添加告警”，选择本指标并挑选相应条件（见“告警条件”）。
English:
Add the indicator to any symbol/timeframe (15m–4h recommended).
Use the two reference EMAs (red = reference, blue = open EMA). Red above blue favors long bias and vice versa.
AI Buy: price crosses above the SuperTrend line and closes above the blue EMA. AI Sell: crosses below and closes below the blue EMA.
TP dots appear when price touches the dynamic channel (linear-regression VWAP ± σ). Use them for partial take-profit or scaling.
On the next opposite AI signal, a Peak Profit xx% (100x) label is placed at the highest/lowest excursion for review.
For alerts: Right-click chart → “Add Alert” → choose this script and a condition (see “Alert conditions”).
主要参数 / Key Inputs
中文：
参考时间框架（分钟）：用于参考均线与平滑的更高周期（默认 720 分=12H）。
SuperTrend 乘数 / 周期：决定 ST 线的灵敏度与带宽；乘数越小越敏感。
止盈倍数（σ）、止盈窗口长度：决定 TP 圆点通道的宽度与回溯长度。
显示峰值收益标签、杠杆（仅用于文本显示）：是否显示“峰值收益”，以及标签内显示的 x 倍数。
English:
Reference timeframe (minutes) for smoothing/EMAs (default 720 = 12H).
SuperTrend Multiplier / Period control sensitivity and band width.
TP Sigma, TP Window Length define the dynamic channel.
Show Peak Profit, Leverage (text only) toggle the label and x-multiplier text.
告警条件 / Alert Conditions
中文：买入、卖出、卖出止盈触发（低位 TP）、买入止盈触发（高位 TP）。
English: Buy, Sell, TP on Short (low band cross up), TP on Long (upper band cross down).
参数建议 / Tuning Tips
中文：
加密 15m：ST 乘数 1.0～1.5、周期 10～14；TP σ=2、窗口 100～200。
趋势强：可增大乘数/窗口，减少噪音；震荡多：减小乘数/窗口，提高敏感度但留意假信号。
English:
Crypto 15m: ST mult 1.0–1.5, period 10–14; TP σ=2, window 100–200.
Strong trend: increase mult/window to cut noise. Choppy: decrease for responsiveness (watch for whipsaw).
交易提示 / Trading Notes
中文：AI 标签仅为规则化过滤，不代表模型预测；建议结合更大周期方向与量能确认。止盈圆点可做分批减仓，切勿仅依赖单一信号。
English: “AI” labels are rule-based filters, not ML predictions. Combine with higher-TF bias/volume. Use TP dots for scaling; avoid single-signal decisions.
DEEP PEAK AI PRO (One-way Filtered) 🧠 Introducing DeepPeak AI
An intelligent indicator designed to detect price peaks and bottoms, helping modern investors optimize entry and exit points.
🌟 What is DeepPeak AI?
DeepPeak AI is a smart technical analysis indicator powered by artificial intelligence (AI). It identifies potential peak and bottom zones on price charts and provides timely buy-the-dip and sell-the-peak signals.
Built on historical market data, machine learning models, and real-world price behavior, DeepPeak AI allows users to make fast, emotion-free decisions and maximize trading efficiency.
⚙️ How does DeepPeak AI work?
✅ Bottom Detection:
Recognizes oversold zones, bullish reversals, or positive divergences between price and momentum indicators.
→ Suggests BUY in low-risk, high-reward areas.
❌ Peak Detection:
Analyzes when the price hits strong resistance, becomes overbought, or shows signs of weakening bullish momentum.
→ Suggests SELL or TAKE PROFIT in high-risk reversal zones.
🤖 AI Intelligence:
DeepPeak AI continuously learns from thousands of historical price patterns to improve the accuracy of its peak/bottom detection algorithm.
💡 Key Features:
📊 Real-time detection of peaks and bottoms.
📈 Suggested Buy/Sell zones with Take Profit (TP) and Stop Loss (SL) levels.
🔔 Signal alerts via chart and webhook (TradingView integration).
🔄 Self-learning AI that adapts to evolving market behavior.
🔍 Compatible with multiple timeframes and asset types: crypto, stocks, forex, gold, etc.
🧠 Who is DeepPeak AI for?
🧩 New investors who need clear, beginner-friendly signals.
⚔️ Pro traders looking for tools to filter noise and spot ideal trade zones.
🤖 Developers integrating AI-based analysis into trading bots.
⚠️ Usage Notes:
This is not a guaranteed signal tool — use in combination with risk management and overall market analysis.
Works best in trending markets or tight consolidation ranges.
DEEP PEAK AI 🧠 Introducing DeepPeak AI
An intelligent indicator designed to detect price peaks and bottoms, helping modern investors optimize entry and exit points.
🌟 What is DeepPeak AI?
DeepPeak AI is a smart technical analysis indicator powered by artificial intelligence (AI). It identifies potential peak and bottom zones on price charts and provides timely buy-the-dip and sell-the-peak signals.
Built on historical market data, machine learning models, and real-world price behavior, DeepPeak AI allows users to make fast, emotion-free decisions and maximize trading efficiency.
⚙️ How does DeepPeak AI work?
✅ Bottom Detection:
Recognizes oversold zones, bullish reversals, or positive divergences between price and momentum indicators.
→ Suggests BUY in low-risk, high-reward areas.
❌ Peak Detection:
Analyzes when the price hits strong resistance, becomes overbought, or shows signs of weakening bullish momentum.
→ Suggests SELL or TAKE PROFIT in high-risk reversal zones.
🤖 AI Intelligence:
DeepPeak AI continuously learns from thousands of historical price patterns to improve the accuracy of its peak/bottom detection algorithm.
💡 Key Features:
📊 Real-time detection of peaks and bottoms.
📈 Suggested Buy/Sell zones with Take Profit (TP) and Stop Loss (SL) levels.
🔔 Signal alerts via chart and webhook (TradingView integration).
🔄 Self-learning AI that adapts to evolving market behavior.
🔍 Compatible with multiple timeframes and asset types: crypto, stocks, forex, gold, etc.
🧠 Who is DeepPeak AI for?
🧩 New investors who need clear, beginner-friendly signals.
⚔️ Pro traders looking for tools to filter noise and spot ideal trade zones.
🤖 Developers integrating AI-based analysis into trading bots.
⚠️ Usage Notes:
This is not a guaranteed signal tool — use in combination with risk management and overall market analysis.
Works best in trending markets or tight consolidation ranges.
Volume SuperTrend AI (Expo)█ Overview
The Volume SuperTrend AI is an advanced technical indicator used to predict trends in price movements by utilizing a combination of traditional SuperTrend calculation and AI techniques, particularly the k-nearest neighbors (KNN) algorithm.
The Volume SuperTrend AI is designed to provide traders with insights into potential market trends, using both volume-weighted moving averages (VWMA) and the k-nearest neighbors (KNN) algorithm. By combining these approaches, the indicator aims to offer more precise predictions of price trends, offering bullish and bearish signals.
█ How It Works
Volume Analysis: By utilizing volume-weighted moving averages (VWMA), the Volume SuperTrend AI emphasizes the importance of trading volume in the trend direction, allowing it to respond more accurately to market dynamics.
Artificial Intelligence Integration - k-Nearest Neighbors (k-NN) Algorithm: The k-NN algorithm is employed to intelligently examine historical data points, measuring distances between current parameters and previous data. The nearest neighbors are utilized to create predictive modeling, thus adapting to intricate market patterns.
█ How to use
Trend Identification
The Volume SuperTrend AI indicator considers not only price movement but also trading volume, introducing an extra dimension to trend analysis. By integrating volume data, the indicator offers a more nuanced and robust understanding of market trends. When trends are supported by high trading volumes, they tend to be more stable and reliable. In practice, a green line displayed beneath the price typically suggests an upward trend, reflecting a bullish market sentiment. Conversely, a red line positioned above the price signals a downward trend, indicative of bearish conditions.
Trend Continuation signals
The AI algorithm is the fundamental component in the coloring of the Volume SuperTrend. This integration serves as a means of predicting the trend while preserving the inherent characteristics of the SuperTrend. By maintaining these essential features, the AI-enhanced Volume SuperTrend allows traders to more accurately identify and capitalize on trend continuation signals.
TrailingStop
The Volume SuperTrend AI indicator serves as a dynamic trailing stop loss, adjusting with both price movement and trading volume. This approach protects profits while allowing the trade room to grow, taking into account volume for a more nuanced response to market changes.
█ Settings
AI Settings:
Neighbors (k):
This setting controls the number of nearest neighbors to consider in the k-Nearest Neighbors (k-NN) algorithm. By adjusting this parameter, you can directly influence the sensitivity of the model to local fluctuations in the data. A lower value of k may lead to predictions that closely follow short-term trends but may be prone to noise. A higher value of k can provide more stable predictions, considering the broader context of market trends, but might lag in responsiveness.
Data (n):
This setting refers to the number of data points to consider in the model. It allows the user to define the size of the dataset that will be analyzed. A larger value of n may provide more comprehensive insights by considering a wider historical context but can increase computational complexity. A smaller value of n focuses on more recent data, possibly providing quicker insights but might overlook longer-term trends.
AI Trend Settings:
Price Trend & Prediction Trend:
These settings allow you to adjust the lengths of the weighted moving averages that are used to calculate both the price trend and the prediction trend. Shorter lengths make the trends more responsive to recent price changes, capturing quick market movements. Longer lengths smooth out the trends, filtering out noise, and highlighting more persistent market directions.
AI Trend Signals:
This toggle option enables or disables the trend signals generated by the AI. Activating this function may assist traders in identifying key trend shifts and opportunities for entry or exit. Disabling it may be preferred when focusing on other aspects of the analysis.
Super Trend Settings:
Length:
This setting determines the length of the SuperTrend, affecting how it reacts to price changes. A shorter length will produce a more sensitive SuperTrend, reacting quickly to price fluctuations. A longer length will create a smoother SuperTrend, reducing false alarms but potentially lagging behind real market changes.
Factor:
This parameter is the multiplier for the Average True Range (ATR) in SuperTrend calculation. By adjusting the factor, you can control the distance of the SuperTrend from the price. A higher factor makes the SuperTrend further from the price, giving more room for price movement but possibly missing shorter-term signals. A lower factor brings the SuperTrend closer to the price, making it more reactive but possibly more prone to false signals.
Moving Average Source:
This setting lets you choose the type of moving average used for the SuperTrend calculation, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), etc.
Different types of moving averages provide various characteristics to the SuperTrend, enabling customization to align with individual trading strategies and market conditions.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Dskyz (DAFE) AI Adaptive Regime - Beginners VersionDskyz (DAFE) AI Adaptive Regime - Pro: Revolutionizing Trading for All
Introduction
In the fast-paced world of financial markets, traders need tools that can keep up with ever-changing conditions while remaining accessible. The Dskyz (DAFE) AI Adaptive Regime - Pro is a groundbreaking TradingView strategy that delivers advanced, AI-driven trading capabilities to everyday traders. Available on TradingView (TradingView Scripts), this Pine Script strategy combines sophisticated market analysis with user-friendly features, making it a standout choice for both novice and experienced traders.
Core Functionality
The strategy is built to adapt to different market regimes—trending, ranging, volatile, or quiet—using a robust set of technical indicators, including:
Moving Averages (MA): Fast and slow EMAs to detect trend direction.
Average True Range (ATR): For dynamic stop-loss and volatility assessment.
Relative Strength Index (RSI) and MACD: Multi-timeframe confirmation of momentum and trend.
Average Directional Index (ADX): To identify trending markets.
Bollinger Bands: For assessing volatility and range conditions.
Candlestick Patterns: Recognizes patterns like bullish engulfing, hammer, and double bottoms, confirmed by volume spikes.
It generates buy and sell signals based on a scoring system that weighs these indicators, ensuring trades align with the current market environment. The strategy also includes dynamic risk management with ATR-based stops and trailing stops, as well as performance tracking to optimize future trades.
What Sets It Apart
The Dskyz (DAFE) AI Adaptive Regime - Pro distinguishes itself from other TradingView strategies through several unique features, which we compare to common alternatives below:
| Feature | Dskyz (DAFE) | Typical TradingView Strategies|
|---------|-------------|------------------------------------------------------------|
| Regime Detection | Automatically identifies and adapts to **four** market regimes | Often static or limited to trend/range detection |
| Multi‑Timeframe Analysis | Uses higher‑timeframe RSI/MACD for confirmation | Rarely incorporates multi‑timeframe data |
| Pattern Recognition | Detects candlestick patterns **with volume confirmation** | Limited or no pattern recognition |
| Dynamic Risk Management | ATR‑based stops and trailing stops | Often uses fixed stops or basic risk rules |
| Performance Tracking | Adjusts thresholds based on past performance | Typically static parameters |
| Beginner‑Friendly Presets | Aggressive, Conservative, Optimized profiles | Requires manual parameter tuning |
| Visual Cues | Color‑coded backgrounds for regimes | Basic or no visual aids |
The Dskyz strategy’s ability to integrate regime detection, multi-timeframe analysis, and user-friendly presets makes it uniquely versatile and accessible, addressing the needs of everyday traders who want professional-grade tools without the complexity.
-Key Features and Benefits
[Why It’s Ideal for Everyday Traders
⚡The Dskyz (DAFE) AI Adaptive Regime - Pro democratizes advanced trading by offering professional-grade tools in an accessible package. Unlike many TradingView strategies that require deep technical knowledge or fail in changing market conditions, this strategy simplifies complex analysis while maintaining robustness. Its presets and visual aids make it easy for beginners to start, while its adaptive features and performance tracking appeal to advanced traders seeking an edge.
🔄Limitations and Considerations
Market Dependency: Performance varies by market and timeframe. Backtesting is essential to ensure compatibility with your trading style.
Learning Curve: While presets simplify use, understanding regimes and indicators enhances effectiveness.
No Guaranteed Profits: Like all strategies, success depends on market conditions and proper execution. The Reddit discussion highlights skepticism about TradingView strategies’ universal success (Reddit Discussion).
Instrument Specificity: Optimized for futures (e.g., ES, NQ) due to fixed tick values. Test on other instruments like stocks or forex to verify compatibility.
📌Conclusion
The Dskyz (DAFE) AI Adaptive Regime - Pro is a revolutionary TradingView strategy that empowers everyday traders with advanced, AI-driven tools. Its ability to adapt to market regimes, confirm signals across timeframes, and manage risk dynamically. sets it apart from typical strategies. By offering beginner-friendly presets and visual cues, it makes sophisticated trading accessible without sacrificing power. Whether you’re a novice looking to trade smarter or a pro seeking a competitive edge, this strategy is your ticket to mastering the markets. Add it to your chart, backtest it, and join the elite traders leveraging AI to dominate. Trade like a boss today! 🚀
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
-Dskyz
NeoTrend AI- Advanced Trading SignalsNeoTrend AI – Advanced Trading Signals
Overview
NeoTrend AI is an advanced trading signal indicator that uniquely integrates a kernel-based predictive model with adaptive volatility analysis. By processing historical price data through a Gaussian kernel matrix, NeoTrend AI produces a statistically informed predicted price. This prediction is then used to generate dynamic volatility bands that serve as adaptive support and resistance levels, leading to clear BUY and SELL signals.
Originality and Usefulness
Innovative Mashup: NeoTrend AI isn’t a mere combination of common indicators; it fuses a novel kernel-based forecasting method with volatility analysis. This creates a tool that not only tracks trends but also identifies key market zones with enhanced precision.
Actionable Insights: The indicator’s design helps traders understand both the underlying trend and the market’s volatility, providing a robust framework for making informed trading decisions.
Customizable Approach: With user-adjustable settings for lookback periods, prediction offsets, smoothness factors, and volatility multipliers, NeoTrend AI adapts to various markets and trading styles.
Omissions and Realistic Claims
Transparent Methodology: NeoTrend AI’s signals are generated solely from historical data analysis using well-established mathematical techniques. There are no unrealistic promises—past performance does not guarantee future results.
No Unsubstantiated Claims: All performance metrics and signal accuracy are clearly derived from the underlying methodology. This script is designed to provide useful insights rather than definitive trading outcomes.
Strategy Results
Kernel Forecasting:
The script builds a Gaussian kernel matrix over a chosen lookback period, smoothing historical price data and generating a predictive price that adjusts dynamically.
Adaptive Volatility Bands:
A volatility band is calculated based on the difference between the actual price and the predicted price, scaled by a user-defined multiplier. These bands change in real time, acting as dynamic support and resistance levels.
Signal Generation:
BUY Signal: Issued when the current price moves above the upper volatility band and the predicted price is trending upward.
SELL Signal: Issued when the price falls below the lower volatility band while the predicted price is trending downward.
Visual Examples
Buy and sell signals are generated, as clearly shown on the chart
Usage Tips
Parameter Customization: Adjust the lookback period, smoothness factor, and volatility multiplier to fit your trading timeframe and market conditions.
Combine with Other Tools: Use NeoTrend AI alongside additional technical indicators and robust risk management strategies for best results.
Backtest Thoroughly: Always perform comprehensive backtesting to understand how the indicator behaves under different market scenarios.
Final Remarks
NeoTrend AI is built to offer traders an original, data-driven insight into market trends without resorting to exaggerated or misleading claims. Its design emphasizes both innovation and practicality, ensuring that you receive actionable signals based on sound statistical methods.
TradingIQ - Counter Strike IQIntroducing "Counter Strike IQ" by TradingIQ
Counter Strike IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade upside/downside breakouts of varying significance. By integrating artificial intelligence and IQ Technology, Counter Strike IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Counter Strike IQ
Counter Strike IQ operates on a single premise: Support and resistance levels cannot hold forever. At some point either side must break for the underlying asset to exhibit trends; otherwise, prices would be confined to an infinitely narrowing range.
Counter Strike IQ is designed to work straight out of the box. In fact, its simplicity requires just four user settings to manage output, making it incredibly straightforward to manage.
Minimum ATR Profit, Minimum ATR Stop, EMA Filter and EMA Filter Length are the only settings that manage the performance of Counter Strike IQ!
Traders don’t have to spend hours adjusting settings and trying to find what works best - Counter Strike IQ handles this on its own.
Key Features of Counter Strike IQ
Self-Learning Breakout Detection
Employs AI and IQ Technology to identify notable breakouts in real-time.
AI-Generated Trading Signals
Provides breakout trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Self-Learning Trading Exits
Counter Strike IQ learns where to exit positions.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
Strike Channel
The Strike Channel represents what Counter Strike IQ considers a tradable long opportunity or a tradable short opportunity. The Strike Channel is dynamic and adjusts from chart to chart.
IQ Graph Gradient
Introduces the IQ Graph Gradient, designed to classify extreme values in price on a grand scale.
How It Works
Counter Strike IQ operates on a straightforward heuristic: go long during significant upside price moves that break established resistance levels and go short during significant downside price moves that break established support levels.
IQ Technology, TradingIQ's proprietary AI algorithm, defines what constitutes a “significant price move” and what’s considered a tradable breakout. For Counter Strike IQ, this algorithm evaluates all historical support/resistance breaks and any subsequent breakouts. For instance, the price move following up to a breakout is measured and learned from, including the significance of the identified support/resistance level (how long it’s been active, how far price moved away from it, etc). By analyzing these patterns, Counter Strike IQ adapts to identify and trade similar future breakout sequences.
In simple terms, Counter Strike IQ learns from violations of historical support/resistance levels to identify potential entry points at currently established support/resistance levels. Using this knowledge, it determines the optimal, current support/resistance price level where a breakout has a higher chance of occurring.
For long positions, Counter Strike IQ places a stop-market order at the AI-identified resistance point. If price violates this level a market order will be placed and a long position entered. Of course, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. After the position is entered TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the long position remains active so long as price continues to uptrend.
For short positions, Counter Strike IQ places a stop-market order at the AI-identified support point. If price violates this level a market order will be placed and a short position entered. Again, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. Upon entry TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the short position remains active so long as price continues to downtrend.
As a trading system, Counter Strike IQ exits TP1 using a limit order, with all stop losses exited as stop market orders.
What Classifies As a Tradable Upside Breakout or Tradable Downside Breakout?
For Counter Strike IQ, tradable price breakouts are not manually set but are instead learned by the system. What qualifies as a significant upside or downside breakout in one market might not hold the same significance in another. Counter Strike IQ continuously analyzes historical and current support/resistance levels, how far price has extended from those levels, the raw-dollar price move leading up to a violation of those levels, their longevity, and more, to determine which future levels have a higher chance of breaking out when retested!
The image above illustrates the Strike Channel and explains the corresponding prices and levels
The green upper line represents the Long Breakout Point.
The pink lower line represents the Short Breakout Point.
Any price between the two deviation points is considered “Acceptable”.
The image above shows a long position being entered after the Upside Breakout Point was reached.
Green arrows indicate that the strategy entered a long position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price.
If price closes above TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
The image above shows the trailing stop price, represented by a blue line, used for the long position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above shows a short position being entered after the Downside Breakout Point was reached.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price.
If price closes below TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
The image above shows the trailing stop price, represented by a blue line, used for the short position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
IQ Gradient Graph
The IQ Gradient Graph provides a macro characterization of extreme prices.
The lower macro extremity of the IQ Gradient Graph is colored green, while the upper macro extremity is colored red.
Minimum Profit Target And Stop Loss
The Minimum ATR Profit Target and Minimum ATR Stop Loss setting control the minimum allowed profit target and stop loss distance. On most timeframes users won’t have to alter these settings; however, on very-low timeframes such as the 1-minute chart, users can increase these values so gross profits exceed commission.
After changing either setting, Counter Strike IQ will retrain on historical data - accounting for the newly defined minimum profit target or stop loss.
AI Direction
The AI Direction setting controls the trade direction Counter Strike IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
EMA Filter
The EMA Filter setting controls whether the AI should implement an EMA trading filter. Simply, if the EMA Filter is active, long trades can only initiate if price is trading above the user-defined EMA. Conversely, short trades can only initiate if price is trading below the user-defined EMA.
The image above shows the EMA Filter in action!
Verifying Counter Strike IQ’s Effectiveness
Counter Strike IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in the table located in the top-right corner of your chart showing.
This table shows the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Counter Strike IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Counter Strike IQ
While Counter Strike IQ is a full-fledged trading system with entries and exits - manual traders can certainly make use of its on chart indications and visualizations.
The hallmark feature of Counter Strike IQ is its ability to signal a breakout near its origin point. Long entries are often signaled near the start of a large upside price move; short entries are often signaled near the start of a large downside price move.
For live analysis, the Strike Channel serves as a valuable tool for identifying breakout points.
The further price moves toward the Upside Breakout Point (green), the stronger the indication that price might breakout to the upside. Conversely, the deeper price reaches toward the Downside Breakout Point (red), the stronger the indication that price might breakout to the downside.
Of course, should buying or selling pressure stall, price may fail to breakout at the identified breakout level. This is a natural consequence of any breakout trading strategy!
With this information at hand, traders can quickly switch between charts and timeframes to identify optimized areas of interest.
Pro Scalper AI [BullByte]The Pro Scalper AI is a powerful, multi-faceted scalping indicator designed to assist active traders in identifying short-term trading opportunities with precision. By combining trend analysis, momentum indicators, dynamic weighting, and optional AI forecasting, this tool provides both immediate and latched trading signals based on confirmed (closed bar) data—helping to avoid repainting issues. Its flexible design includes customizable filters such as a higher timeframe trend filter, and adjustable settings for ADX, ATR, and Hull Moving Average (HMA), giving traders the ability to fine-tune the strategy to different markets and timeframes.
Key Features :
- Confirmed Data Processing :
Utilizes a helper function to lock in price and volume data only from confirmed (closed) bars, ensuring the reliability of signals without the risk of intrabar repainting.
- Trend Analysis :
Employs ADX and Directional Movement (DI) calculations along with a locally computed HMA to detect short-term trends. An optional higher timeframe trend filter can further refine the analysis.
- Flexible Momentum Modes :
Choose between three momentum calculation methods—Stochastic RSI, Fisher RSI, or Williams %R—to match your preferred style of analysis. This versatility allows you to optimize the indicator for different market conditions.
- Dynamic Weighting & Volatility Adjustments :
Adjusts the contribution of trend, momentum, volatility, and volume through dynamic weighting. This ensures that the indicator responds appropriately to varying market conditions by scaling its sensitivity with user-defined maximum factors.
- Optional AI Forecast :
For those who want an extra edge, the built-in AI forecasting module uses linear regression to predict future price moves and adjusts oscillator thresholds accordingly. This feature can be toggled on or off, with smoothing options available for more stable output.
- Latching Mode for Signal Persistenc e:
The script features a latching mechanism that holds signals until a clear reversal is detected, preventing whipsaws and providing more reliable trade entries and exits.
- Comprehensive Visualizations & Dashboard :
- Composite Oscillator & Dynamic Thresholds : The oscillator is plotted with dynamic upper and lower thresholds, and the area between them is filled with a color that reflects the active trading signal (e.g., Strong Buy, Early Sell).
- Signal Markers : Both immediate (non-latching) and stored (latched) signals are marked on the chart with distinct shapes (circles, crosses, triangles, and diamonds) to differentiate between signal types.
- Real-Time Dashboard : A customizable dashboard table displays key metrics including ADX, oscillator value, chosen momentum mode, HMA trend, higher timeframe trend, volume factor, AI bias (if enabled), and more, allowing traders to quickly assess market conditions at a glance.
How to Use :
1. S ignal Interpretation :
- Immediate Signals : For traders who prefer quick entries, the indicator displays immediate signals such as “Strong Buy” or “Early Sell” based on the current market snapshot.
- Latched Signals : When latching is enabled, the indicator holds a signal state until a clear reversal is confirmed, offering sustained trade setups.
2. Trend Confirmation :
- Use the HMA trend indicator and the optional higher timeframe trend filter to confirm the prevailing market direction before acting on signals.
3. Dynamic Thresholds & AI Forecasting :
- Monitor the dynamically adjusted oscillator thresholds and, if enabled, the AI bias to gauge potential shifts in market momentum.
4. Risk Management :
- Combine these signals with additional analysis and sound risk management practices to determine optimal entry and exit points for scalping trades.
Disclaimer :
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always perform your own analysis and use proper risk management strategies before trading.
Trading IQ - Razor IQIntroducing TradingIQ's first dip buying/shorting all-in-one trading system: Razor IQ.
Razor IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade upside/downside price dips of varying significance in trending markets. By integrating artificial intelligence and IQ Technology, Razor IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Razor IQ
Razor IQ operates on a single premise: Trends must retrace, and these retracements offer traders an opportunity to join in the overarching trend. At some point traders will enter against a trend in aggregate and traders in profitable positions entered during the trend will scale out. When occurring simultaneously, a trend will retrace against itself, offering an opportunity for traders not yet in the trend to join in the move and continue the trend.
Razor IQ is designed to work straight out of the box. In fact, its simplicity requires just a few user settings to manage output, making it incredibly straightforward to manage.
Long Limit Order Stop Loss and Minimum ATR TP/SL are the only settings that manage the performance of Razor IQ!
Traders don’t have to spend hours adjusting settings and trying to find what works best - Razor IQ handles this on its own.
Key Features of Razor IQ
Self-Learning Retracement Detection
Employs AI and IQ Technology to identify notable price dips in real-time.
AI-Generated Trading Signals
Provides retracement trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Self-Learning Trading Exits
Razor IQ learns where to exit positions.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
How It Works
Razor IQ operates on a straightforward heuristic: go long during the retracement of significant upside price moves and go short during the retracement of significant downside price moves.
IQ Technology, TradingIQ's proprietary AI algorithm, defines what constitutes a “trend” and a “retracement” and what’s considered a tradable dip buying/shorting opportunity. For Razor IQ, this algorithm evaluates all historical trends and retracements, how much trends generally retrace and how long trends generally persist. For instance, the "dip" following an uptrend is measured and learned from, including the significance of the identified trend level (how long it has been active, how much price has increased, etc). By analyzing these patterns, Razor IQ adapts to identify and trade similar future retracements and trends.
In simple terms, Razor IQ clusters previous trend and retracement data in an attempt to trade similar price sequences when they repeat in the future. Using this knowledge, it determines the optimal, current price level where joining in the current trend (during a retracement) has a calculated chance of not stopping out before trend continuation.
For long positions, Razor IQ enters using a market order at the AI-identified long entry price point. If price closes beneath this level a market order will be placed and a long position entered. Of course, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. After the position is entered TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is achieved, a stop-loss order is immediately placed at breakeven, and a trailing stop loss controls the remainder of the trade. With this, so long as TP1 is achieved, the position will not endure a loss. So long as price continues to uptrend, Razor IQ will remain in the position.
For short positions, Razor IQ provides an AI-identified short entry level. If price closes above this level a market order will be placed and a short position entered. Again, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. Upon entry Razor IQ implements a TP order and SL order (identifiable on the price chart).
Downtrends, in most markets, usually operate differently than uptrends. With uptrends, price usually increases at a modest pace with consistency over an extended period of time. Downtrends behave in an opposite manner - price decreases rapidly for a much shorter duration.
With this observation, the long dip entry heuristic differs slightly from the short dip entry heuristic.
The long dip entry heuristic specializes in identifying larger, long-term uptrends and entering on retracement of the uptrends. With a dedicated trailing stop loss, so long as the uptrend persists, Razor IQ will remain in the position.
The short dip entry heuristic specializes in identifying sharp, significant downside price moves, and entering short on upside volatility during these moves. A fixed stop loss and profit target are implemented for short positions - no trailing stop is used.
As a trading system, Razor IQ exits all TP orders using a limit order, with all stop losses exited as stop market orders.
What Classifies As a Tradable Dip?
For Razor IQ, tradable price dips are not manually set but are instead learned by the system. What qualifies as an exploitable price dip in one market might not hold the same significance in another. Razor IQ continuously analyzes historical and current trends (if one exists), how far price has moved during the trend, the duration of the trend, the raw-dollar price move of price dips during trends, and more, to determine which future price retracements offer a smart chance to join in any current price trend.
The image above illustrates the Razor Line Long Entry point.
The green line represents the Long Retracement Entry Point.
The blue upper line represents the first profit target for the trade.
The blue lower line represents the trailing stop loss start point for the long position.
The position is entered once price closes below the green line.
The green Razor Lazor long entry point will only appear during uptrends.
The image above shows a long position being entered after the Long Razor Lazor was closed beneath.
Green arrows indicate that the strategy entered a long position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines above the entry price indicate the TP1 level for the current long trade. Blue lines below the current price indicate the initial stop loss price.
If price reaches TP1, a stop loss will be immediately placed at breakeven, and the in-built trailing stop will determine the future exit price.
A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
If the trailing stop is above the breakeven stop loss, then the trailing stop will be hit before the breakeven stop loss, which means the remainder of the trade will be exited at a profit.
If the breakeven stop loss is above the trailing stop, then the breakeven stop loss will be hit first. In this case, the remainder of the position will be exited at breakeven.
The image above shows the trailing stop price, represented by a blue line, and the breakeven stop loss price, represented by a pink line, used for the long position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above exemplifies Razor IQ's output when a downtrend is active.
When a downtrend is active, Razor IQ will switch to "short mode". In short mode, Razor IQ will display a neon red line. This neon red line indicates the Razor Lazor short entry point. When price closes above the red Razor Lazor line a short position is entered.
The image above shows Razor IQ during an active short position.
The image above shows Razor IQ after completing a short trade.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at the profit target or the fixed stop loss.
Blue lines indicate the profit target level for the current trade when below price. and blue lines above the current price indicate the stop loss level for the short trade.
Short traders do not utilize a trailing stop - only a fixed profit target and fixed stop loss are used.
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
Minimum Profit Target And Stop Loss
The Minimum ATR Profit Target and Minimum ATR Stop Loss setting control the minimum allowed profit target and stop loss distance. On most timeframes users won’t have to alter these settings; however, on very-low timeframes such as the 1-minute chart, users can increase these values so gross profits exceed commission.
After changing either setting, Razor IQ will retrain on historical data - accounting for the newly defined minimum profit target or stop loss.
AI Direction
The AI Direction setting controls the trade direction Razor IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
Verifying Razor IQ’s Effectiveness
Razor IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in the table located in the top-right corner of your chart showing.
This table shows the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Razor IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Razor IQ
While Razor IQ is a full-fledged trading system with entries and exits - manual traders can certainly make use of its on chart indications and visualizations.
The hallmark feature of Razor IQ is its ability to signal an acceptable dip entry opportunity - for both uptrends and downtrends. Long entries are often signaled near the bottom of a retracement for an uptrend; short entries are often signaled near the top of a retracement for a downtrend.
Razor IQ will always operate on exact price levels; however, users can certainly take advantage of Razor IQ's trend identification mechanism and retracement identification mechanism to use as confluence with their personally crafted trading strategy.
Of course, every trend will reverse at some point, and a good dip buying/shorting strategy will often trade the reversal in expectation of the prior trend continuing (retracement). It's important not to aggressively filter retracement entries in hopes of avoiding an entry when a trend reversal finally occurs, as this will ultimately filter out good dip buying/shorting opportunities. This is a reality of any dip trading strategy - not just Razor IQ.
Of course, you can set alerts for all Razor IQ entry and exit signals, effectively following along its systematic conquest of price movement.
Support & Resistance AI LevelScopeSupport & Resistance AI LevelScope
Support & Resistance AI LevelScope is an advanced, AI-driven tool that automatically detects and highlights key support and resistance levels on your chart. This indicator leverages smart algorithms to pinpoint the most impactful levels, providing traders with a precise, real-time view of critical price boundaries. Save time and enhance your trading edge with effortless, intelligent support and resistance identification.
Key Features:
AI-Powered Level Detection: The LevelScope algorithm continuously analyzes price action, dynamically plotting support and resistance levels based on recent highs and lows across your chosen timeframe.
Sensitivity Control: Customize the sensitivity to display either major levels for a macro view or more frequent levels for detailed intraday analysis. Easily adjust to suit any trading style or market condition.
Level Strength Differentiation: Instantly recognize the strength of each level with visual cues based on how often price has touched each one. Stronger levels are emphasized, highlighting areas with higher significance, while weaker levels are marked subtly.
Customizable Visuals: Tailor the look of your chart with customizable color schemes and line thickness options for strong and weak levels, ensuring clear visibility without clutter.
Proximity Alerts: Receive alerts when price approaches key support or resistance, giving you a heads-up for potential market reactions and trading opportunities.
Who It’s For:
Whether you're a day trader, swing trader, or just want a quick, AI-driven way to identify high-probability levels on your chart, Support & Resistance AI LevelScope is designed to keep you focused and informed. This indicator is the perfect addition to any trader’s toolkit, empowering you to make more confident, data-backed trading decisions with ease.
Upgrade your analysis with AI-powered support and resistance—no more manual lines, only smart levels!
Luxmi AI Ultimate 1 Min Option ScalperThe Luxmi AI Ultimate 1 Min Option Scalper is a specialized trading indicator designed for use in options trading. This tool is particularly focused on providing actionable signals to option buyers within a one-minute timeframe, making it highly suitable for scalping—a trading strategy aimed at profiting from small price changes. Below is an elaboration on how this indicator functions and its significance in trading decisions:
### Key Features of Luxmi AI Ultimate 1 Min Option Scalper
1. **Enter and Don't Signals:**
- **Enter Signals:** These signals indicate the optimal moments to enter a trade, suggesting when to buy an option. They are typically based on sophisticated algorithms that analyze price movements, volume, volatility, and other relevant market data.
- **Don't Signals:** These signals advise traders to refrain from entering a trade. This could be due to market conditions that are not conducive to profitable trading, such as high volatility, low liquidity, or unclear directional trends.
2. **Directional Trading Strategy:**
- The Luxmi AI Ultimate 1 Min Option Scalper focuses on directional trading, which involves making trades based on the expected direction of the market. For option buyers, this means taking positions that profit from upward (call options) or downward (put options) movements in the price of the underlying asset.
3. **Scalping Approach:**
- Scalping is a short-term trading strategy that involves making numerous trades over the course of a trading session, aiming to capitalize on small price changes. The one-minute timeframe is particularly suited for scalping, as it allows traders to quickly enter and exit positions to capture minimal but frequent profits.
### Functionality and Benefits
1. **Real-Time Analysis:**
- The indicator provides real-time analysis and signals, ensuring that traders receive timely information to make quick trading decisions. This is crucial in the fast-paced environment of scalping, where delays can significantly impact profitability.
2. **Automated Decision-Making Support:**
- By automating the signal generation process, the Luxmi AI Ultimate 1 Min Option Scalper helps reduce the cognitive load on traders. This automation can lead to more consistent trading performance, as it mitigates the impact of emotional and psychological factors that often influence human decision-making.
3. **Market Adaptability:**
- The indicator is designed to adapt to changing market conditions, adjusting its signals based on the latest data. This adaptability enhances its effectiveness in various market environments, whether trending, ranging, or highly volatile.
4. **Risk Management:**
- Incorporating "Don't" signals as part of the strategy helps traders avoid entering trades in unfavorable conditions, thereby managing risk more effectively. This feature is particularly valuable in preventing losses and preserving capital.
5. **Educational Value:**
- For less experienced traders, using the Luxmi AI Ultimate 1 Min Option Scalper can provide a learning experience. By observing the signals and their outcomes, traders can develop a better understanding of market dynamics and refine their trading strategies.
### Practical Application
- **Setup:** Traders integrate the Luxmi AI Ultimate 1 Min Option Scalper into their trading platforms. This setup typically involves installing the indicator and configuring it to monitor the specific options and market data relevant to the trader's strategy.
- **Monitoring:** During trading hours, traders monitor the signals provided by the indicator. They prepare to act quickly on "Enter" signals and heed "Don't" signals to avoid unnecessary risks.
- **Execution:** When an "Enter" signal is generated, traders execute the recommended trade, buying the corresponding option. They then manage their positions closely, ready to exit based on their predetermined profit targets or stop-loss levels.
In summary, the Luxmi AI Ultimate 1 Min Option Scalper is a powerful tool for option buyers, providing critical buy and hold signals in a highly time-sensitive manner. Its primary benefits include enhancing decision-making speed, improving trading consistency, and managing risk, all of which are essential for successful scalping in options trading.
MBAND 200 4H BTC/USDT - By MGS-TradingMBAND 200 4H BTC/USDT with RSI and Volume by MGS-Trading: A Neural Network-Inspired Indicator
Introduction:
The MBAND 200 4H BTC/USDT with RSI and Volume represents a groundbreaking achievement in the integration of artificial intelligence (AI) into cryptocurrency market analysis. Developed by MGS-Trading, this indicator is the culmination of extensive research and development efforts aimed at leveraging AI's power to enhance trading strategies. By synthesizing neural network concepts with traditional technical analysis, the MBAND indicator offers a dynamic, multi-dimensional view of the market, providing traders with unparalleled insights and actionable signals.
Innovative Approach:
Our journey to create the MBAND indicator began with a simple question: How can we mimic the decision-making prowess of a neural network in a trading indicator? The answer lay in the weighted aggregation of Exponential Moving Averages (EMAs) from multiple timeframes, each serving as a unique input akin to a neuron in a neural network. These weights are not arbitrary; they were painstakingly optimized through backtesting across various market conditions to ensure they reflect the significance of each timeframe’s contribution to overall market dynamics.
Core Features:
Neural Network-Inspired Weights: The heart of the MBAND indicator lies in its AI-inspired weighting system, which treats each timeframe’s EMA as an input node in a neural network. This allows the indicator to process complex market data in a nuanced and sophisticated manner, leading to more refined and informed trading signals.
Multi-Timeframe EMA Analysis: By analyzing EMAs from 15 minutes to 3 days, the MBAND indicator captures a comprehensive snapshot of market trends, enabling traders to make informed decisions based on a broad spectrum of data.
RSI and Volume Integration: The inclusion of the Relative Strength Index (RSI) and volume data adds layers of confirmation to the signals generated by the EMA bands. This multi-indicator approach helps in identifying high-probability setups, reinforcing the neural network’s concept of leveraging multiple data points for decision-making.
Usage Guidelines:
Signal Interpretation: The MBAND bands provide a visual representation of the market’s momentum and direction. A price moving above the upper band signals strength and potential continuation of an uptrend, while a move below the lower band suggests weakness and a possible downtrend.
Overbought/Oversold Conditions: The RSI component identifies when the asset is potentially overbought (>70) or oversold (<30). Traders should watch for these conditions near the MBAND levels for potential reversal opportunities.
Volume Confirmation: An increase in volume accompanying a price move towards or beyond an MBAND level serves as confirmation of the strength behind the move. This can indicate whether a breakout is likely to sustain or if a reversal has substantial backing.
Strategic Entry and Exit Points: Combine the MBAND readings with RSI and volume indicators to pinpoint strategic entry and exit points. For example, consider entering a long position when the price is near the lower MBAND, RSI indicates oversold conditions, and there is a notable volume increase.
About MGS-Trading:
At MGS-Trading, we are passionate about harnessing the transformative power of AI to revolutionize cryptocurrency trading. Our indicators and tools are designed to provide traders with advanced analytics and insights, drawing on the latest AI techniques and methodologies. The MBAND 200 4H BTC/USDT with RSI and Volume indicator is a prime example of our commitment to innovation, offering traders a sophisticated, AI-enhanced tool for navigating the complexities of the cryptocurrency markets.
Disclaimer:
The MBAND indicator is provided for informational purposes only and does not constitute investment advice. Trading cryptocurrencies involves significant risk and can result in the loss of your investment. We recommend conducting your own research and consulting with a qualified financial advisor before making any trading decisions.
SPX Options & Stocks AI Indicator v25تم تطوير مؤشر SPX Options AI المتكامل ليكون حلاً شاملاً لتداول عقود SPX Options مع ربط مباشر بالتليجرام ونظام جدولة متقدم للتنبيهات.
الميزات الأساسية:
إشارات الدخول الذكية: إشارات CALL و PUT بناءً على تقاطع المتوسطات المتحركة
نظام الأهداف المتدرج: 5 أهداف لكل إشارة مع عرض بصري واضح
وقف الخسارة المتقدم: نظام وقف خسارة ثابت ومتحرك (Trailing Stop)
عقود Zero Hero: إشارات خاصة للعقود عالية المخاطر
صندوق الإحصائيات: تتبع الصفقات الناجحة والفاشلة
تنبيهات الأخبار: نظام تنبيهات للأحداث المهمة
المدخلات القابلة للتخصيص:
trading_mode: وضع التداول (SPX أو Stocks)
ma_length_fast: طول المتوسط المتحرك السريع (افتراضي: 10)
ma_length_slow: طول المتوسط المتحرك البطيء (افتراضي: 30)
profit_target_points: نقاط الهدف (افتراضي: 30.0)
atr_length: طول ATR (افتراضي: 14)
atr_multiplier: مضاعف ATR لوقف الخسارة (افتراضي: 1.5)
enable_trailing_stop: تمكين وقف الخسارة المتحرك
profit_100_points: النقاط المطلوبة لربح 100$ (افتراضي: 10.0)
enable_engulfing_patterns: تمكين أنماط الابتلاع
enable_news_alerts: تمكين تنبيهات الأخبار
منطق الصفقات الناجحة/الفاشلة:
صفقة ناجحة: عندما يحقق السعر الهدف الأول قبل تفعيل وقف الخسارة
صفقة فاشلة: عندما يتم تفعيل وقف الخسارة قبل تحقيق الهدف الأول
التنبيهات المتاحة
مؤشر SPX Options AI المتكامل - تحليل ذكي وإشارات دقيقة لـ SPX Options والأسهم.
يقدم المؤشر:
✅ إشارات دخول وخروج (CALL/PUT) بناءً على استراتيجيات متقدمة.
✅ نظام أهداف متدرج ووقف خسارة ثابت ومتحرك (Trailing Stop).
✅ إشارات Zero Hero للعقود عالية المخاطر.
✅ صندوق إحصائيات لتتبع الصفقات الناجحة والفاشلة.
✅ تنبيهات أخبار مدمجة.
✅ واجهة عربية سهلة الاستخدام.
ملاحظات مهمة
المؤشر مصمم للاستخدام التعليمي والمساعدة في اتخاذ القرارات
لا يُعتبر نصيحة استثمارية
استخدم إدارة رأس المال المناسبة دائماً
اختبر النظام على حساب تجريبي أولاً
تم تطوير هذا النظام بواسطة Manus AI
تاريخ الإصدار: أغسطس 2024
______________________________________________________________________
The integrated SPX Options AI indicator was developed to be a comprehensive solution for trading SPX Options contracts, with direct connectivity to Telegram and an advanced alert scheduling system. Key Features:
Smart Entry Signals: CALL and PUT signals based on moving average crossovers
Tiered Target System: 5 targets per signal with clear visual display
Advanced Stop Loss: Fixed and Trailing Stop System
Zero Hero Contracts: Special signals for high-risk contracts
Statistics Box: Track successful and unsuccessful trades
News Alerts: Alert system for important events
Customizable Inputs:
trading_mode: Trading mode (SPX or Stocks)
ma_length_fast: Length of the fast moving average (default: 10)
ma_length_slow: Length of the slow moving average (default: 30)
profit_target_points: Target points (default: 30.0)
atr_length: ATR length (default: 14)
atr_multiplier: ATR multiplier for the stop loss (default: 1.5)
enable_trailing_stop: Enable trailing stop loss
profit_100_points: Points Required to earn $100 (default: 10.0)
enable_engulfing_patterns: Enable engulfing patterns
enable_news_alerts: Enable news alerts
Successful/Failed Trade Logic:
Successful Trade: When the price reaches the first target before the stop-loss is triggered
Failed Trade: When the stop-loss is triggered before the first target is reached
Available Alerts
Integrated SPX Options AI Indicator - Intelligent analysis and accurate signals for SPX Options and stocks.
The indicator provides:
✅ Entry and exit signals (CALL/PUT) based on advanced strategies.
✅ A tiered target system and fixed and trailing stops.
✅ Zero Hero signals for high-risk contracts.
✅ A statistics box to track successful and failed trades.
✅ Built-in news alerts.
✅ User-friendly Arabic interface.
Important Notes
The indicator is designed for educational use and decision-making assistance.
It is not intended as investment advice.
Always use proper capital management.
Test the system on a demo account first.
This system was developed by Manus AI.
Release Date: August 2024
Luxmi AI Filtered Option Scalping Signals (INDEX)Introduction:
Luxmi AI Filtered Option Scalping Signals (INDEX) is an enhanced iteration of the Luxmi AI Directional Option Buying (Long Only) indicator. It's designed for use on index charts alongside the Luxmi AI Smart Sentimeter (INDEX) indicator to enhance performance. This indicator aims to provide refined signals for option scalping strategies, optimizing trading decisions within index markets.
Understanding directional bias is crucial when trading index and index options because it helps traders align their strategies with the expected movement of the underlying index.
The Luxmi AI Filtered Option Scalping Signals (INDEX) indicator aims to simplify and expedite decision-making through comprehensive technical analysis of various data points on a chart. By leveraging advanced analysis of data points, this indicator scrutinizes multiple factors simultaneously to offer traders clear and rapid insights into market dynamics.
The indicator is specifically designed for option scalping, a trading strategy that aims to profit from short-term price fluctuations. It prioritizes signals that are conducive to quick execution and capitalizes on rapid market movements typical of scalping strategies.
Major Features:
Trend Cloud:
Working Principle:
The script utilizes the Relative Strength Index (RSI) to assess market momentum, identifying bullish and bearish phases based on RSI readings. It calculates two boolean variables, bullmove and bearmove, which signal shifts in momentum direction by considering changes in the Exponential Moving Average (EMA) of the closing price. When RSI indicates bullish momentum and the closing price's EMA exhibits positive changes, bullmove is triggered, signifying the start of a bullish phase. Conversely, when RSI suggests bearish momentum and the closing price's EMA shows negative changes, bearmove is activated, marking the beginning of a bearish phase. This systematic approach helps in understanding the current trend of the price. The script visually emphasizes these phases on the chart using plot shape markers, providing traders with clear indications of trend shifts.
Benefits of Using Trend Cloud:
Comprehensive Momentum Assessment: The script offers a holistic view of market momentum by incorporating RSI readings and changes in the closing price's EMA, enabling traders to identify both bullish and bearish phases effectively.
Structured Trend Recognition: With the calculation of boolean variables, the script provides a structured approach to recognizing shifts in momentum direction, enhancing traders' ability to interpret market dynamics.
Visual Clarity: Plotshape markers visually highlight the start and end of bullish and bearish phases on the chart, facilitating easy identification of trend shifts and helping traders to stay informed.
Prompt Response: Traders can promptly react to changing market conditions as the script triggers alerts when bullish or bearish phases begin, allowing them to seize potential trading opportunities swiftly.
Informed Decision-Making: By integrating various indicators and visual cues, the script enables traders to make well-informed decisions and adapt their strategies according to prevailing market sentiment, ultimately enhancing their trading performance.
How to use this feature:
The most effective way to maximize the benefits of this feature is to use it in conjunction with other key indicators and visual cues. By combining the color-coded clouds, which indicate bullish and bearish sentiment, with other features such as IS candles, microtrend candles, volume candles, and sentimeter candles, traders can gain a comprehensive understanding of market dynamics. For instance, aligning the color of the clouds with the trend direction indicated by IS candles, microtrend candles, and sentimeter candles can provide confirmation of trend strength or potential reversals.
Furthermore, traders can leverage the trend cloud as a trailing stop-loss tool for long entries, enhancing risk management strategies. By adjusting the stop-loss level based on the color of the cloud, traders can trail their positions to capture potential profits while minimizing losses. For long entries, maintaining the position as long as the cloud remains green can help traders stay aligned with the prevailing bullish sentiment. Conversely, a shift in color from green to red serves as a signal to exit the position, indicating a potential reversal in market sentiment and minimizing potential losses. This integration of the trend cloud as a trailing stop-loss mechanism adds an additional layer of risk management to trading strategies, increasing the likelihood of successful trades while reducing exposure to adverse market movements.
Moreover, the red cloud serves as an indicator of decay in option premiums and potential theta effect, particularly relevant for options traders. When the cloud turns red, it suggests a decline in option prices and an increase in theta decay, highlighting the importance of managing options positions accordingly. Traders may consider adjusting their options strategies, such as rolling positions or closing out contracts, to mitigate the impact of theta decay and preserve capital. By incorporating this insight into options pricing dynamics, traders can make more informed decisions about their options trades.
Scalping Cloud:
The scalping cloud serves as a specialized component within the trend cloud feature, specifically designed to pinpoint potential long and short entry points within the overarching trend cloud. Here's how it works:
Trend Identification: The trend cloud feature typically highlights the prevailing trend direction based on various technical indicators, price action, or other criteria. It visually represents the momentum and direction of the market over a given period.
Refined Entry Signals: Within this broader trend context, the scalping cloud narrows its focus to identify shorter-term trading opportunities. It does this by analyzing more granular price movements and shorter timeframes, seeking out potential entry points that align with the larger trend.
Long and Short Entries: The scalping cloud distinguishes between potential long (buy) and short (sell) entry opportunities within the trend cloud. For instance, within an uptrend indicated by the trend cloud, the scalping cloud might identify brief retracements or pullbacks as potential long entry points. Conversely, in a downtrend, it may signal short entry opportunities during temporary upward corrections.
Risk Management: By identifying potential entry points within the context of the trend, the scalping cloud also aids in risk management. Traders can use these signals to place stop-loss orders and manage their positions effectively, reducing the risk of adverse price movements.
The scalping cloud operates by analyzing the crossover and crossunder events between two key indicators: the Double Exponential Moving Average (DEMA) and a Weighted Average. Here's how it works:
Double Exponential Moving Average (DEMA): DEMA is a type of moving average that seeks to reduce lag by applying a double smoothing technique to price data. It responds more quickly to price changes compared to traditional moving averages, making it suitable for identifying short-term trends and potential trading opportunities.
Weighted Average: The weighted average calculates the average price of an asset over a specified period. However, it incorporates a weighting scheme that assigns more significance to recent price data, resulting in a more responsive indicator that closely tracks current market trends.
CE and NO CE Signals:
CE signals typically represent a Long Scalping Opportunity, suggesting that conditions are favorable for entering a long position. These signals indicate a strong upward momentum in the market, which traders can exploit for short-term gains through scalping strategies.
On the other hand, when there are no CE signals present, it doesn't necessarily mean that the trend has reversed or turned bearish. Instead, it indicates that the trend is still bullish, but the market is experiencing an active pullback. During a pullback, prices may temporarily retreat from recent highs as traders take profits or reevaluate their positions. While the overall trend remains upward, the pullback introduces a degree of uncertainty, making it less favorable for entering new long positions.
In such a scenario, traders may opt to exercise caution and refrain from entering new long positions until the pullback phase has concluded. Instead, they might consider waiting for confirmation signals, such as the resumption of CE signals or other bullish indications, before reengaging in long positions.
PE and NO PE Signals:
PE signals typically indicate a Short Entry opportunity, signaling that market conditions are conducive to entering a short position.
Conversely, when there are no PE signals present, it signifies that while the trend remains bearish, the market is currently in an active phase of consolidation or pullback. During such periods, prices may temporarily rise from recent lows, reflecting a pause in the downward momentum. While the overall trend remains downward, the absence of PE signals suggests that it may not be an optimal time to enter new short positions.
In this context, traders may exercise caution and wait for clearer signals before initiating new short positions. They might monitor the market closely for signs of a resumption in bearish momentum, such as the emergence of PE signals or other bearish indications. Alternatively, traders may choose to wait on the sidelines until market conditions stabilize or provide clearer directional signals.
Working Principle Of CE and PE Signals:
The feature calculates candlestick values based on the open, high, low, and close prices of each bar. By comparing these derived candlestick values, it determines whether the current candlestick is bullish or bearish. Additionally, it signals when there is a change in the color (bullish or bearish) of the derived candlesticks compared to the previous bar, enabling traders to identify potential shifts in market sentiment.
Micro Trend Candles:
Working Principle:
This feature begins by initializing variables to determine trend channel width and track price movements. Average True Range (ATR) is then calculated to measure market volatility, influencing the channel's size. Highs and lows are identified within a specified range, and trends are assessed based on price breaches, with potential changes signaled accordingly. The price channel is continually updated to adapt to market shifts, and arrows are placed to indicate potential entry points. Colors are assigned to represent bullish and bearish trends, dynamically adjusting based on current market conditions. Finally, candles on the chart are colored to visually depict the identified micro trend, offering traders an intuitive way to interpret market sentiment and potential entry opportunities.
Benefits of using Micro Trend Candles:
Traders can use these identified micro trends to spot potential short-term trading opportunities. For example:
Trend Following: Traders may decide to enter trades aligned with the prevailing micro trend. If the candles are consistently colored in a certain direction, traders may consider entering positions in that direction.
Reversals: Conversely, if the script signals a potential reversal by changing the candle colors, traders may anticipate trend reversals and adjust their trading strategies accordingly. For instance, they might close existing positions or enter new positions in anticipation of a trend reversal.
It's important to note that these micro trends are short-term in nature and may not always align with broader market trends. Therefore, traders utilizing this script should consider their trading timeframes and adjust their strategies accordingly.
How to use this feature:
This feature assigns colors to candles to represent bullish and bearish trends, with adjustments made based on current market conditions. Green candles accompanied by a green trend cloud signal a potential long entry, while red candles suggest caution, indicating a bearish trend. This visual representation allows traders to interpret market sentiment intuitively, identifying optimal entry points and exercising caution during potential downtrends.
Scalping Candles (Inspired by Elliott Wave and Open Interest Concepts):
Working Principle:
This feature draws inspiration from the Elliot Wave method, utilizing technical analysis techniques to discern potential market trends and sentiment shifts. It begins by calculating the variance between two Exponential Moving Averages (EMAs) of closing prices, mimicking Elliot Wave's focus on wave and trend analysis. The shorter-term EMA captures immediate price momentum, while the longer-term EMA reflects broader market trends. A smoother Exponential Moving Average (EMA) line, derived from the difference between these EMAs, aids in identifying short-term trend shifts or momentum reversals.
Benefits of using Scalping Candles Inspired by Elliott Wave:
The Elliott Wave principle is a form of technical analysis that attempts to predict future price movements by identifying patterns in market charts. It suggests that markets move in repetitive waves or cycles, and traders can potentially profit by recognizing these patterns.
While this script does not explicitly analyze Elliot Wave patterns, it is inspired by the principle's emphasis on trend analysis and market sentiment. By calculating and visualizing the difference between EMAs and assigning colors to candles based on this analysis, the script aims to provide traders with insights into potential market sentiment shifts, which can align with the broader philosophy of Elliott Wave analysis.
How to use this feature:
Candlestick colors are assigned based on the relationship between the EMA line and the variance. When the variance is below or equal to the EMA line, candles are colored red, suggesting a bearish sentiment. Conversely, when the variance is above the EMA line, candles are tinted green, indicating a bullish outlook. Though not explicitly analyzing Elliot Wave patterns, the script aligns with its principles of trend analysis and market sentiment interpretation. By offering visual cues on sentiment shifts, it provides traders with insights into potential trading opportunities, echoing Elliot Wave's emphasis on pattern recognition and trend analysis.
Chart Timeframe Support and Resistance:
Working Principle:
This feature serves to identify and visualize support and resistance levels on the chart, primarily based on the chosen Chart Timeframe (CTF). It allows users to specify parameters such as the number of bars considered on the left and right sides of each pivot point, as well as line width and label color. Moreover, users have the option to enable or disable the display of these levels. By utilizing functions to calculate pivot highs and lows within the specified timeframe, the script determines the highest high and lowest low surrounding each pivot point.
Additionally, it defines functions to create lines and labels for each detected support and resistance level. Notably, this feature incorporates a trading method that emphasizes the concept of resistance turning into support after breakouts, thereby providing valuable insights for traders employing such strategies. These lines are drawn on the chart, with colors indicating whether the level is above or below the current close price, aiding traders in visualizing key levels and making informed trading decisions.
Benefits of Chart Timeframe Support and Resistance:
Identification of Price Levels: Support and resistance levels help traders identify significant price levels where buying (support) and selling (resistance) pressure may intensify. These levels are often formed based on historical price movements and are regarded as areas of interest for traders.
Decision Making: Support and resistance levels assist traders in making informed trading decisions. By observing price reactions near these levels, traders can gauge market sentiment and adjust their strategies accordingly. For example, traders may choose to enter or exit positions, set stop-loss orders, or take profit targets based on price behavior around these levels.
Risk Management: Support and resistance levels aid in risk management by providing reference points for setting stop-loss orders. Traders often place stop-loss orders below support levels for long positions and above resistance levels for short positions to limit potential losses if the market moves against them.
How to use this feature:
Planning Long Positions: When considering long positions, it's advantageous to strategize when the price is in proximity to a support level identified by the script. This suggests a potential area of buying interest where traders may expect a bounce or reversal in price. Additionally, confirm the bullish bias by ensuring that the trend cloud is green, indicating favorable market conditions for long trades.
Waiting for Breakout: If long signals are generated near resistance levels detected by the script, exercise patience and wait for a breakout above the resistance. A breakout above resistance signifies potential strength in the upward momentum and may present a more opportune moment to enter long positions. This approach aligns with trading methodologies that emphasize confirmation of bullish momentum before initiating trades.
StopLoss and Target Lines:
In addition to generating entry signals, this indicator also incorporates predefined stop-loss ray lines and configurable risk-reward (R:R) target lines to enhance risk management and profit-taking strategies. Here's how these features work:
Predefined Stop-loss Ray Lines: The indicator automatically plots stop-loss ray lines on the chart, serving as visual guidelines for setting stop-loss levels. These stop-loss lines are predetermined based on specific criteria, such as volatility levels, support and resistance zones, or predefined risk parameters. Traders can use these lines as reference points to place their stop-loss orders, aiming to limit potential losses if the market moves against their position.
Configurable Risk-Reward (R:R) Target Lines: In addition to stop-loss lines, the indicator allows traders to set configurable risk-reward (R:R) target lines on the chart. These target lines represent predefined price levels where traders intend to take profits based on their desired risk-reward ratio. By adjusting the placement of these lines, traders can customize their risk-reward ratios according to their trading preferences and risk tolerance.
Risk Management: The predefined stop-loss ray lines help traders manage risk by providing clear exit points if the trade goes against their expectations. By adhering to these predetermined stop-loss levels, traders can minimize potential losses and protect their trading capital, thereby enhancing overall risk management.
Profit-taking Strategy: On the other hand, the configurable R:R target lines assist traders in establishing profit-taking strategies. By setting target levels based on their desired risk-reward ratio, traders can aim to capture profits at predefined price levels that offer favorable risk-reward profiles. This allows traders to systematically take profits while ensuring that potential gains outweigh potential losses over the long term.
The stop-loss and target lines incorporated in this indicator are dynamic in nature, providing traders with the flexibility to utilize them as trailing stop-loss and extended take-profit targets. Here's how these dynamic features work:
Trailing Stop-loss: Traders can employ the stop-loss lines as trailing stop-loss levels, allowing them to adjust their stop-loss orders as the market moves in their favor. As the price continues to move in the desired direction, indicator can dynamically adjust the stop-loss line to lock in profits while still allowing room for potential further gains. This trailing stop-loss mechanism helps traders secure profits while allowing their winning trades to continue running as long as the market remains favorable.
Extended Take Profit Targets: Similarly, traders can utilize the target lines as extended take-profit targets, enabling them to capture additional profits beyond their initial profit targets. By adjusting the placement of these target lines based on evolving market conditions or technical signals, traders can extend their profit-taking strategy to capitalize on potential price extensions or trend continuations. This flexibility allows traders to maximize their profit potential by capturing larger price movements while managing their risk effectively.
Rangebound Bars:
When the Rangebound Bars feature is enabled, the indicator represents candles in a distinct purple color to visually denote periods of sideways or range-bound price action. This visual cue helps traders easily identify when the market is consolidating and lacking clear directional momentum. Here's how it works:
Purple Candle Color: When the Rangebound Bars feature is active, the indicator displays candlesticks in a purple color to highlight periods of sideways price movement. This color differentiation stands out against the usual colors used for bullish (e.g., green or white) and bearish (e.g., red or black) candles, making it easier for traders to recognize range-bound conditions at a glance.
Signaling Sideways Price Action: The purple coloration of candles indicates that price movements are confined within a relatively narrow range and lack a clear upward or downward trend. This may occur when the market is consolidating, experiencing indecision, or undergoing a period of accumulation or distribution.
Working Principle:
The Rangebound Bars feature of this indicator is designed to assist traders in identifying and navigating consolidating market conditions, where price movements are confined within a relatively narrow range. This feature utilizes Pivot levels and the Average True Range (ATR) concept to determine when the market is range-bound and provides signals to stay out of such price action. Here's how it works:
Pivot Levels: Pivot levels are key price levels derived from the previous period's high, low, and closing prices. They serve as potential support and resistance levels and are widely used by traders to identify significant price levels where price action may stall or reverse. The Rangebound Bars feature incorporates Pivot levels into its analysis to identify ranges where price tends to consolidate.
Average True Range (ATR): The Average True Range is a measure of market volatility that calculates the average range between the high and low prices over a specified period. It provides traders with insights into the level of price volatility and helps set appropriate stop-loss and take-profit levels. In the context of the Rangebound Bars feature, ATR is used to gauge the extent of price fluctuations within the identified range.
Luxmi AI Smart Sentimeter (Index) "Performance or the direction of indices depend on the performance or direction of its constituents"
The above statement succinctly highlights the fundamental relationship between the movements of stock indices and the individual stocks that comprise them. Essentially, the statement underscores the fact that the overall performance and direction of an index are directly influenced by the collective performance and direction of its constituent stocks.
In essence, when the majority of stocks within an index experience positive movements, such as price increases or upward trends, the index itself tends to rise. Conversely, if a significant number of constituent stocks exhibit negative movements, such as price decreases or downward trends, the index is likely to decline.
This interdependence between indices and their constituents reflects the broader market sentiment and economic conditions. Individual stock movements contribute to the overall market sentiment, which is reflected in the movements of the index. Therefore, investors and traders often analyze the performance of underlying constituents to gain insights into market trends, sentiment shifts, and potential trading opportunities.
In summary, the statement emphasizes the integral role that individual stocks play in shaping the performance and direction of stock indices, highlighting the importance of monitoring constituent stocks when analyzing and trading in the financial markets.
Analyzing the performance of underlying constituents is crucial when trading index futures and options due to several reasons:
Index Composition Impact: Index futures and options derive their value from the performance of the underlying index, which, in turn, is determined by the constituent stocks. Understanding how individual stocks within the index are performing provides insights into the broader market sentiment and direction.
Diversification Assessment: Indices typically consist of a diverse range of stocks across various sectors. Analyzing the performance of these constituent stocks allows traders to assess the overall health of the market and identify sector-specific trends or weaknesses. This information is vital for constructing a well-diversified portfolio and managing risk effectively.
Sector Rotation Strategies: Different sectors perform differently under various market conditions. Analyzing the performance of underlying constituents enables traders to identify sectors that are outperforming or underperforming relative to the broader market. This insight can be utilized to implement sector rotation strategies, where traders adjust their portfolio allocations based on the expected performance of different sectors.
Options Pricing and Hedging: In options trading, the performance of underlying constituents directly affects the pricing of options contracts. Volatility, correlation among stocks, and individual stock movements all influence options prices. By analyzing the performance of underlying constituents, traders can better understand the factors driving options pricing and implement more effective hedging strategies.
Technical Analysis Confirmation: Technical analysis techniques often rely on price movements and patterns observed in individual stocks. Analyzing the performance of underlying constituents can confirm or invalidate technical signals generated by the index itself, providing additional conviction for trading decisions.
In summary, analyzing the performance of underlying constituents when trading index futures and options is essential for understanding market dynamics, identifying trading opportunities, managing risk, and making informed trading decisions. By staying informed about individual stock movements within an index, traders can gain a deeper understanding of market trends and position themselves for success in the ever-changing financial markets.
Workng Principle of Luxmi AI Smart Sentimeter:
The Luxmi AI Smart Sentimeter indicator is a powerful tool designed for traders to gain insights into market sentiment and trend strength. This indicator amalgamates data from multiple stocks to provide a comprehensive overview of market conditions. Let's delve into its components, functionalities, and potential applications.
Firstly, the indicator allows users to input symbols for up to ten different stocks. These symbols serve as the basis for retrieving closing prices, which are essential for conducting technical analysis. The flexibility to choose symbols empowers traders to tailor their analysis according to their preferences and market focus.
The indicator's core functionality revolves around the calculation of a combined Moving Averages of various lenghts, which aggregates the closing prices of the selected stocks. This combined combined analysis serves as a pivotal metric for assessing overall market trends and sentiment. By incorporating data from multiple stocks, the indicator offers a holistic view of market dynamics, reducing the impact of individual stock fluctuations.
To further refine the analysis, the combined Moving Average Data undergoes a smoothing process using another additional Moving Average (SMA). This smoothing mechanism helps filter out noise and provides a clearer depiction of underlying trends, thereby enhancing the indicator's effectiveness.
Moreover, the indicator computes an oscillator by measuring the difference between the combined MA and the smoothed MA. This oscillator serves as a valuable tool for gauging trend strength and identifying potential reversal points in the market, offering further insights into market momentum and directionality.
The indicator's graphical representation includes plots of the oscillator and its MA, facilitating visual interpretation of trend dynamics and momentum shifts. Furthermore, the script generates visual signals, such as UP and DOWN triangles, to highlight crossover and crossunder events on the oscillator, aiding traders in making timely and informed trading decisions.
In practice, the Luxmi AI Smart Sentimeter indicator offers a myriad of applications for traders across various trading styles and timeframes. Traders can utilize it to assess market sentiment, identify trend reversals, and confirm trade signals generated by other technical indicators. Additionally, the indicator can serve as a valuable tool for conducting market analysis, formulating trading strategies, and managing risk effectively.
In conclusion, the Luxmi AI Smart Sentimeter indicator represents a sophisticated yet accessible tool for traders seeking to navigate the complexities of the financial markets. With its robust features, customizable parameters, and insightful analysis, this indicator stands as a testament to the potential of data-driven approaches in trading and investment.
Settings:
The Index Constituent Analysis setting empowers users to input the constituents of a specific index, facilitating the analysis of market sentiments based on the performance of these individual components. An index serves as a statistical measure of changes in a portfolio of securities representing a particular market or sector, with constituents representing the individual assets or securities comprising the index.
By providing the constituent list, users gain insights into market sentiments by observing how each constituent performs within the broader index. This analysis aids traders and investors in understanding the underlying dynamics driving the index's movements, identifying trends or anomalies, and making informed decisions regarding their investment strategies.
This setting empowers users to customize their analysis based on specific indexes relevant to their trading or investment objectives, whether tracking a benchmark index, sector-specific index, or custom index. Analyzing constituent performance offers a valuable tool for market assessment and decision-making.
Example: BankNifty Index and Its Constituents
Illustratively, the BankNifty index represents the performance of the banking sector in India and includes major banks and financial institutions listed on the National Stock Exchange of India (NSE). Prominent constituents of the BankNifty index include:
State Bank of India (SBIN)
HDFC Bank
ICICI Bank
Kotak Mahindra Bank
Axis Bank
IndusInd Bank
Punjab National Bank (PNB)
Yes Bank
Federal Bank
IDFC First Bank
By utilizing the Index Constituent Analysis setting and inputting these constituent stocks of the BankNifty index, traders and investors can assess the individual performance of these banking stocks within the broader banking sector index. This analysis enables them to gauge market sentiments, identify trends, and make well-informed decisions regarding their trading or investment strategies in the banking sector.
Example: NAS100 Index and Its Constituents
Similarly, the NAS100 index, known as the NASDAQ-100, tracks the performance of the largest non-financial companies listed on the NASDAQ stock exchange. Prominent constituents of the NAS100 index include technology and consumer discretionary stocks such as:
Apple Inc. (AAPL)
Microsoft Corporation (MSFT)
Amazon.com Inc. (AMZN)
Alphabet Inc. (GOOGL)
Facebook Inc. (FB)
Tesla Inc. (TSLA)
NVIDIA Corporation (NVDA)
PayPal Holdings Inc. (PYPL)
Netflix Inc. (NFLX)
Adobe Inc. (ADBE)
By inputting these constituent stocks of the NAS100 index into the Index Constituent Analysis setting, traders and investors can analyze the individual performance of these technology and consumer discretionary stocks within the broader NASDAQ-100 index. This analysis facilitates the evaluation of market sentiments, identification of trends, and informed decision-making regarding trading or investment strategies in the technology and consumer sectors.
Example: FTSE 100 Index and Its Constituents
The FTSE 100 index represents the performance of the 100 largest companies listed on the London Stock Exchange (LSE) by market capitalization. Some notable constituents of the FTSE 100 index include:
HSBC Holdings plc
BP plc
GlaxoSmithKline plc
Unilever plc
Royal Dutch Shell plc
AstraZeneca plc
Diageo plc
Rio Tinto plc
British American Tobacco plc
Reckitt Benckiser Group plc
Timeframe Selection:
If a traders wshes to analyze the constituent in a higher timeframe they can simply switch to HTF from the dropdown without changing the chart timeframe.
Weight:
Weight needs to be a positive number when applied on the index future or call option charts.
Weight must be configured to a negative number when this indicator is applied on a put option chart (Put options move in the opposite direction compared to it's stock or index).
Happy Trading,
Bbhafiz AI auto signalIntroducing Bbhafiz AI Auto Signal, a powerful and intelligent trading indicator designed to simplify your decision-making and boost your trading confidence. Built for both beginner and advanced traders, this tool automatically scans the market and detects high-probability BUY and SELL setups based on a complete, proven strategy.
The AI system is programmed to wait for full confirmation before sending any signal – no half-baked alerts, no guesswork. Once the setup is complete, it will display a clear signal for you to take action. Whether the trend is continuing or reversing, the algorithm is trained to identify it in real-time.
You no longer have to spend hours analyzing charts or second-guessing your entries. The Bbhafiz AI Auto Signal does all the technical heavy lifting – just wait for the signal and execute your trade.
✅ Key Features:
🔁 Detects trend continuation or reversal
🔔 Sends alerts only when setup is 100% complete
⏱ Suitable for scalping, intraday, or swing trading
💼 Built for busy traders who want fast and reliable signals
📈 Compatible with TradingView platform
🧪 Backtested and optimized for high performance
Whether you're a part-time trader or a full-time pro, this tool can help sharpen your entries and reduce emotional trading. Just follow the signals, manage your risk, and let the market do the rest.
SuperTrend AI Oscillator StrategySuperTrend AI Oscillator Strategy
Overview
This strategy is a trend-following approach that combines the SuperTrend indicator with oscillator-based filtering.
By identifying market trends while utilizing oscillator-based momentum analysis, it aims to improve entry precision.
Additionally, it incorporates a trailing stop to strengthen risk management while maximizing profits.
This strategy can be applied to various markets, including Forex, Crypto, and Stocks, as well as different timeframes. However, its effectiveness varies depending on market conditions, so thorough testing is required.
Features
1️⃣ Trend Identification Using SuperTrend
The SuperTrend indicator (a volatility-adjusted trend indicator based on ATR) is used to determine trend direction.
A long entry is considered when SuperTrend turns bullish.
A short entry is considered when SuperTrend turns bearish.
The goal is to capture clear trend reversals and avoid unnecessary trades in ranging markets.
2️⃣ Entry Filtering with an Oscillator
The Super Oscillator is used to filter entry signals.
If the oscillator exceeds 50, it strengthens long entries (indicating strong bullish momentum).
If the oscillator drops below 50, it strengthens short entries (indicating strong bearish momentum).
This filter helps reduce trades in uncertain market conditions and improves entry accuracy.
3️⃣ Risk Management with a Trailing Stop
Instead of a fixed stop loss, a SuperTrend-based trailing stop is implemented.
The stop level adjusts automatically based on market volatility.
This allows profits to run while managing downside risk effectively.
4️⃣ Adjustable Risk-Reward Ratio
The default risk-reward ratio is set at 1:2.
Example: A 1% stop loss corresponds to a 2% take profit target.
The ratio can be customized according to the trader’s risk tolerance.
5️⃣ Clear Trade Signals & Visual Support
Green "BUY" labels indicate long entry signals.
Red "SELL" labels indicate short entry signals.
The Super Oscillator is plotted in a separate subwindow to visually assess trend strength.
A real-time trailing stop is displayed to support exit strategies.
These visual aids make it easier to identify entry and exit points.
Trading Parameters & Considerations
Initial Account Balance: Default is $7,000 (adjustable).
Base Currency: USD
Order Size: 10,000 USD
Pyramiding: 1
Trading Fees: $0.94 per trade
Long Position Margin: 50%
Short Position Margin: 50%
Total Trades (M5 Timeframe): 1,032
Visual Aids for Clarity
This strategy includes clear visual trade signals to enhance decision-making:
Green "BUY" labels for long entries
Red "SELL" labels for short entries
Super Oscillator plotted in a subwindow with a 50 midline
Dynamic trailing stop displayed for real-time trend tracking
These visual aids allow traders to quickly identify trade setups and manage positions with greater confidence.
Summary
The SuperTrend AI Oscillator Strategy is developed based on indicators from Black Cat and LuxAlgo.
By integrating high-precision trend analysis with AI-based oscillator filtering, it provides a strong risk-managed trading approach.
Important Notes
This strategy does not guarantee profits—performance varies based on market conditions.
Past performance does not guarantee future results. Markets are constantly changing.
Always test extensively with backtesting and demo trading before using it in live markets.
Risk management, position sizing, and market conditions should always be considered when trading.
Conclusion
This strategy combines trend analysis with momentum filtering, enhancing risk management in trading.
By following market trends carefully, making precise entries, and using trailing stops, it seeks to reduce risk while maximizing potential profits.
Before using this strategy, be sure to test it thoroughly via backtesting and demo trading, and adjust the settings to match your trading style.
