After the latest update of the indicator “Shock Pullback v3.5 + AI/ML forecasts”
I present this example of the indicator’s performance in analysis and buy signal forecast:
Example:
Gold 1 hour – still holding from the buy signal, and the white profit meter shows about +10,200 pips in buy trades.
Shock Pullback v3.5 + AI/ML forecasts:
https://www.mql5.com/en/market/product/145042
“Shock Pullback v 3.5 + AI/ML forecasts” with full analysis and AI/ML forecasts:
– Full chart analysis
– Future Prediction System with Artificial Intelligence and Deep Learning (AI + ML)
_ Main Features:
– Future vision up to 20 candles ahead based on dynamic data analysis
– Suitable for scalping trading
-Multi-colored prediction charts reflecting confidence levels in forecasts with white pip counter next to current Buy/Sell status
-Probability zones showing expected price paths with margin of probability changes and direction
-Multi-variable analysis primarily based on Shock Pullback indicator, including:
-Calculation and study of Pullback zones, gap openings and closings
Slope, acceleration, deceleration, and rebound signals generated by yellow arrows
-Calculation of Zigzag angles and breakout/uptrend areas
-Analysis of flag and pattern models and others
-Modeling and analysis of accumulation zones and gaps and their impact on future movement
-Integration of chart patterns in prediction calculations
Artificial Intelligence:
Advanced Neural Architecture designed in MQL5 structure and environment “Note: The learning and AI system is internal, not external, and does not depend on Python or others”
_ 5 Deep Neural Layers:
-Smart Attention Mechanism:
Dynamic focus on the most important features
-Automatic updating of analysis and attention weights based on performance of integrated calculations and models
_ Analyzed Features (24 advanced features):
– Order flow and buy/sell pressure
– Price momentum and dynamic volatility
– Gap patterns and breakouts
– Volume indicators and relative strength
– Analysis of hidden breakout lines and critical levels and others
– Smart Learning Mechanism and Specifications
– Continuous Adaptive Learning System:
– Cumulative learning from every previous trade and prediction
– Dynamic memory with capacity of 1000 training samples
– Automatic updating of neural weights based on error rate
– Automatic balancing between successful and failed learning cycles
– Advanced Technical Specifications:
– Adaptive learning rate from 0.0005 to 0.008
– Self-confidence calculation for each prediction
– Automatic detection of market context (trend, range, high volatility)
– Continuous improvement of model accuracy over time
_ Memory and Storage System:
– Smart recovery of data from previous sessions
– Automatic integration of test results with real trading
– Performance and Efficiency Indicators:
– Fast response to market changes
– Continuous improvement of learning rates based on performance
– Live monitoring of prediction quality and model stability
– Suitable for every pair and time frame
– Suitable and excellent for Scalping trades.
– Advanced analysis not available in traditional indicators
– Smooth integration with your other trading strategies
Shock Pullback v3.5 + AI/ML forecasts:
