Table of Contents
A. Building…
Create 10 strategies using Genetic Evolution.
1.1 Breakout Strategy
1.2 Day Trading Strategy
1.3 Grid Trading
1.4 Multi-Timeframe Divergence Strategy
1.5 News Trading
1.6 Oscillator Reversion and Momentum Burst Strategy
1.7 Range Trading Strategy
1.8 Scalping Strategy
1.9 Swing Trading
1.10 Trend Trading Strategy
Use TF H1/H4 – Opened Timeframe – Ranking Profit > 1.4 Ret/DD > 4 Min trade per month > 2 – No Cross check / Robustness test
** Market Entry Method: Enter at market / Reverse / Stop / Limit pending
*** Filter each step by 10 entries per market entry method, totaling 40 in one main group, and a total of 400.
**** Enable Exit types: MoveSL2BE / SL2BE add pips / Profit target / Stop loss / Trailing stop / Trailing activation / Exit rules
***** Trading option: Friday Exit 23:00
****** Money management: Risk fixed % of account
B. Melting…
Backtest all 400 results against 10 currency pairs, separating the timeframe into 5 TFs.
2.1 H1/H4 – M30/H4 – M15/H1 – M5/H1 – M15/M30
2.2 Aggregate the results and perform Automatic Retest by changing the Precision to 1-minute data tick simulation, but maintain the original trading settings.
2.3 Add Monte Carlo trades manipulation and Sequential optimization testing.
2.4 Save the results to the @Blender folder.
2.5 Perform another Automatic Retest using only the Walk-Forward Matrix.
2.6 Save the results to the @Melted folder.
C. Ending…
Load all files from @Blender into the Initial Population to create a new set of EA, repeating the process 10 times (10 currency pairs).
3.1 Create 3 new steps: Build Martingale / ATM / Everyday Exit
3.2 Automatic Retest with the original trading settings at 3 timeframes (H1/H4 – M30/H4 – M15/H1), using 2 Monte Carlo factors (trades manipulation and retest methods) and Sequential optimization.
3.3 Another Automatic Retest with 1-minute data tick simulation, using 2 Monte Carlo factors and Sequential optimization.
3.4 Another Automatic Retest using the Walk-Forward Matrix.
