Tag: robustness
Adapting and Understanding some Popfirm rules
Home To help you optimize for the FTMO challenge, here are detailed points addressing your questions: Daily
Use ranking in portfolio maser with Full data not IS, OOS
Home Yes, your approach is valid and makes sense. Here’s why using full data for ranking in
What does it mean to be too high in a bad way
Home When certain performance metrics are “too high” in a bad way, it could indicate potential issues
What i must do after step 3 for final review and compare?
Home After completing Step 3 (the Walk-Forward Matrix with real tick data), the next step for a
Data precision whould be Selected timeframe only , 1 minute data tick or Real tick ?
Home data precision whould be Selected timeframe only , 1 minute data tick or Real tick ?
Profit factor, dd,sharp ratio, cagr/dd% and another must be same to xauusd rank filter right?
Home Yes, when adapting your XAUUSD strategies for AUDUSD, you should use the same ranking and filtering
Should I retest with adjusted parameters?
Home When retesting strategies from XAUUSD on a new pair like AUDUSD, you should first consider retesting
Now i’ve over 3x,000 Strs. from XAUUSD. for best way i need to adapting those tons of Strs to another pairs like AudUsd what ill do by,..
Home To adapt your 30,000 XAUUSD strategies to another currency pair like AUDUSD, here’s a breakdown of
Suggested for 1 Portfolio Creation with IS and OOS Filtering
Home Suggested Approach for Phase 1 Portfolio Creation with IS and OOS Filtering In phase 1, the
whats a different about ‘Simple’ and ‘Walk-forward matrix’ in Optimizer?
Home In StrategyQuant’s Optimizer, the Simple and Walk-Forward Matrix optimizations serve different purposes and offer distinct methodologies
Out-Of-Sample (OOS) performance.
Home OOS Testing: More importantly, assess the performance during out-of-sample testing to ensure the strategy is robust
I need confirm stability for long term running?
Home When focusing on long-term stability for your strategy, aside from CAGR/Max DD% and Sharpe Ratio, the most critical metric
I got 400 from builds
Home then i got 400 from builds type : Exit everday 23:00, Exit on Friday 23:40, Exit