New Alerts for Shock Pullback v 3.6 + AI forecasts
New Update with Alerts for indicator “Shock Pullback v 3.6 + AI/ML forecasts + Alerts”:
– Added normal alerts and custom Mobile alerts “Alerts can be enabled/disabled from settings”
– Alerts will include: Scalping buy suggestion or end of buy explosion wave suggestion, as well as scalping sell suggestion or end of sell explosion wave suggestion
– Regarding the new alerts update, additional updates may follow in the future should any issues arise
– Major update to the code and structure of the white pip counter display “as it represents the result and signal of the current state: sell or buy”, through a simple separation between the white pip counter and the pullback gaps status, their completion or initiation, as a method to make the counting and gaps more accurate
– Added a final result line in the floating panel for the current chart status: whether inactive, or the state is buy pips or sell pips; this floating line will appear in green for buy result, or red for sell result
A quick and variable example is attached with an image, “of course, depending on any new alerts that may appear.”
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Previous explanation of the indicator:
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:
– 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
-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”
• First Layer: 32 neural cells (24 feature inputs) • Second Layer: 16 neural cells • Third Layer: 8 neural cells • Fourth Layer: 4 neural cells • Fifth Layer: 2 cells (prediction and confidence outputs)
-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
Shock Pullback v3.5 + AI/ML forecasts:
https://www.mql5.com/en/market/product/145042
Note: There is a shortened version in terms of appearance only. It relies entirely on the indicator “Shock Pullback v 3.5 + AI/ML forecasts” and is complete in terms of code structure, but it is limited to displaying the type of prediction signal (buy or sell) and drawing the AI prediction/forecasts lines.
In other words, it does not include the full chart analysis. You can find it here at this link:
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