Quant Apple Scavenger
- Experts
- Frank Michel Noughue Lemoupa
- Version: 2.17
- Updated: 10 March 2026
- Activations: 6
Overview
Quant Scavenger – Apple Series EA is the first release in a structured series of single-asset ML based quantitative Expert Advisors.
Each EA in the series is dedicated to one broker-offered asset only.
This edition is specifically built for trading Apple Inc. (AAPL CFD).
The embedded quantitative model is trained exclusively on H1 (1-hour timeframe) data.
It is not a multi-timeframe system and is designed to operate on H1 only.
Core Design Principles
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Single asset specialization
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Single timeframe specialization (H1 only)
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Quantitative model-driven entries
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Portfolio-based risk allocation
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Structured, non-scalping execution
This EA is not a generalized multi-market robot.
It is engineered specifically for Apple CFD price structure.
Model & Updates
The quantitative model:
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Is trained on historical H1 data
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Uses structured feature inputs derived from price behavior
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Is embedded into the EA logic
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Is reviewed and updated monthly
Monthly updates allow:
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Adaptation to evolving volatility regimes
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Recalibration to structural market changes
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Improved robustness over time
Each update reflects refreshed training and optimization based on recent market data.
Broker Consideration
Primary optimization performed using FBS CFD data.
Because quantitative systems are sensitive to:
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Tick data differences
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Spread structure
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Execution model
- Most CFD brokers are also Market Makers
Backtesting on your broker is recommended before live deployment.
Trading Conditions
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Required timeframe: H1 only
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Minimum deposit: $90 advised, use cent accounts if not going
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Instrument: Apple CFD (AAPL)
Not designed for:
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M1/M5 scalping
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Multi-timeframe stacking
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Multi-asset trading inside one EA
Risk Modes
Fix_Lot_Mode
If true, a constant lot size is used. Hardly advised expect you backtest first.
False is Ideal sice the models accuracy vaies with 47% and 57%, this helps adjust equity as per candle size
Fix_Lot
Used only when Fix_Lot_Mode = true.
If set to 0 → broker minimum lot size is used.
Inputs
fraction_of_account
Percentage of account used for dynamic position sizing.
Active when Fix_Lot_Mode = false. Not explicitly used yet
Fix_Lot_Mode
If true, a constant lot size is used.
Fix_Lot
Used only when Fix_Lot_Mode = true.
If set to 0 → broker minimum lot size is used.
Operational Notes
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Not intended to guarantee profits
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Not immune to market shocks
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Manual supervision during major news events is advisable
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Performance varies depending on broker execution quality
Series Structure
The Quant Scavenger Series will expand to include:
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One EA per asset
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Each trained independently
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Each updated individually
This Apple Series edition is the first in that structure.
contact me at frankmichel022@gmail.com i will appreciate feedback from demo users also in my email
