From Strategy Library to Demo Trading: One Trader’s EdgePilot Workflow
Start with a direction from the strategy library, customize the code with AI, then check it through backtests and demo trading. Follow one trader’s EdgePilot workflow.
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Why Does the Same Options Strategy Make Money in Backtests but Fall Short Live?
The directional idea can be right while the execution assumptions are wrong. Match contracts, quotes, fills, and fees to see where the backtest-to-live gap comes from.
Why Is My Paper Trading Order Stuck on Submitted?
Before clicking submit again, trace the original order. Check its price, market data, status, and position records to find the next useful step.
Profitable Backtest and Paper Trading: Ready to Go Live?
A profitable month is not a graduation certificate. Check what actually happened, whether the settings match, and which important scenarios remain untested.
Can Half a Second of Latency Wipe Out a Thin Trading Edge?
A thin profit leaves little room for worse fills. Separate the delay from its cost, then trace one order before paying for a faster setup.
Why Do Trailing Stops Look So Good in Backtests?
Did the rally happen before the stop was hit—or after the position was already closed? The same OHLC bar can hide two very different exits.
Normal Drawdown or a Broken Strategy? What to Check First
A smaller loss can reveal a bigger problem. Compare the duration, trade outcomes, costs, and settings before blaming—or defending—the strategy.
Backtest Validation
Profitable Backtest and Paper Trading: Ready to Go Live?
A profitable month is not a graduation certificate. Check what actually happened, whether the settings match, and which important scenarios remain untested.
Why Do Trailing Stops Look So Good in Backtests?
Did the rally happen before the stop was hit—or after the position was already closed? The same OHLC bar can hide two very different exits.
Profitable for Hundreds of Trades, Flat After Thousands: Does the Strategy Still Work?
The first 300 trades made $3,000, but the next 2,700 lost it back. Split the backtest into two periods, then check costs, market regime, and parameter selection before rewriting the strategy.
Only One Parameter Set Made Money. Can You Trust the Backtest?
A tiny setting change wipes out the profit. Check nearby settings and fresh data before trusting the best-looking backtest.
Your Strategy Is Suddenly Profitable. Real Edge or Market Luck?
A hot streak can make a strategy look smarter than it is. Trace the gains, compare the conditions, and turn the result into a focused research plan.
AI Can Generate Strategies at Scale. Which Ones Should You Kill?
AI made trading ideas cheap—and lucky backtests plentiful. The scarce part is a research loop that can reproduce, stress, compare, and reject weak strategies before they reach real money.
Rolling Validation vs. Cross-Validation: What Do They Actually Mean?
Cross-validation changes the exam. Rolling validation also keeps time moving forward. Here’s how to tell whether a backtest learned a real pattern or memorized history.