Analyzed 50+ trader CSVs to build forward probability forecasts (not just journaling). The biggest behavioral pattern: ~1 in 3 traders runs the same strategy across 5+ accounts as sizing.

30 days ago I started building PropEdge — a forecaster for prop firm traders. Not a journal, not a backtester. After analyzing 50+ user CSVs, the wildest thing I found:

About 1 in 3 prop traders runs the same strategy across 5+ Apex accounts as a sizing technique. Almost nobody talks about this in mainstream prop content. It's the biggest behavioral pattern in user data.

The reframe driving the build: win rate, profit factor, total P&L — none of those answer the question every prop trader is actually carrying around: "given how I trade right now, what are my odds of passing this eval?"

That's a probability question. It needs a probability answer. Not "you have a strong win rate." Something like: 27% chance of passing. 41% chance of breaching daily loss limit. 19% chance of getting paid out.

Honest 30-day numbers (Founder's Circle sold out, 1 paid Charter, ~20 free users in 24h of public launch): https://open.substack.com/pub/aviroshkovan/p/30-days-building-propedge-the-founders

What pattern would you want analyzed in week 2?