After the most recent replace of the indicator “Shock Pullback v3.5 + AI/ML forecasts”

I current this instance of the indicator’s efficiency in evaluation and purchase sign forecast:

Instance:
Gold 1 hour – nonetheless holding from the purchase sign, and the white revenue meter reveals about +10,200 pips in purchase 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 evaluation and AI/ML forecasts:
 

– Full chart evaluation

– Future Prediction System with Synthetic Intelligence and Deep Studying (AI + ML)

_ Fundamental Options:

– Future imaginative and prescient as much as 20 candles forward primarily based on dynamic information evaluation 

-Multi-colored prediction charts reflecting confidence ranges in forecasts with white pip counter subsequent to present Purchase/Promote standing

-Chance zones displaying anticipated worth paths with margin of chance modifications and path

-Multi-variable evaluation based on Shock Pullback indicator, together with:

-Calculation and research of Pullback zones, hole openings and closings

Slope, acceleration, deceleration, and rebound indicators generated by yellow arrows

-Calculation of Zigzag angles and breakout/uptrend areas

-Evaluation of flag and sample fashions and others

-Modeling and evaluation of accumulation zones and gaps and their affect on future motion

-Integration of chart patterns in prediction calculations

 Synthetic Intelligence:

Superior Neural Structure designed in MQL5 construction and setting “Word: The training and AI system is inside, not exterior, and doesn’t rely on Python or others”

• First Layer: 32 neural cells (24 function inputs)
• Second Layer: 16 neural cells  
• Third Layer: 8 neural cells
• Fourth Layer: 4 neural cells
• Fifth Layer: 2 cells (prediction and confidence outputs)

-Good Consideration Mechanism:

Dynamic concentrate on an important options

-Automated updating of study and a focus weights primarily based on efficiency of built-in calculations and fashions

_ Analyzed Options (24 superior options):

– Order circulation and purchase/promote strain

– Value momentum and dynamic volatility

– Hole patterns and breakouts

– Quantity indicators and relative power

– Evaluation of hidden breakout strains and demanding ranges and others

– Good Studying Mechanism and Specs

– Steady Adaptive Studying System:

– Cumulative studying from each earlier commerce and prediction

– Dynamic reminiscence with capability of 1000 coaching samples

– Automated updating of neural weights primarily based on error price

– Automated balancing between profitable and failed studying cycles

– Superior Technical Specs:

– Adaptive studying price from 0.0005 to 0.008

– Self-confidence calculation for every prediction

– Automated detection of market context (pattern, vary, excessive volatility)

– Steady enchancment of mannequin accuracy over time

_ Reminiscence and Storage System:

– Good restoration of knowledge from earlier classes

– Automated integration of take a look at outcomes with actual buying and selling

– Efficiency and Effectivity Indicators:

– Quick response to market modifications

– Steady enchancment of studying charges primarily based on efficiency

– Dwell monitoring of prediction high quality and mannequin stability

– Appropriate for each pair and timeframe

– Appropriate and glorious for Scalping trades.

– Superior evaluation not out there in conventional indicators