Building QUANTITAN-backtest engine for traders who care about statistical honesty.
Trading ops, risk & performance analytics on the side.
No signals. No hype.
Most backtests are lies.
Not because traders are dishonest โ
but because the math is brutal,
and the bias is invisible.
Here are 7 statistical sins that quietly
kill 90% of backtests ๐
After a 10% loss you need 11.1% to recover.
After 20% โ 25%
After 50% โ 100%
Prevention > Recovery.
Free risk calculator โ https://t.co/kMqlRqJ4sK
#trading#riskmanagement#propfirm
"The challenge is only $500"
At 10% pass rate:
โ 10 expected attempts
โ $5,000 total cost
The fee is NOT the cost. The math is.
Calculate your real cost โ https://t.co/UpHHCEHCYm
50% win rate with 1:1.0 RR sounds profitable.
But at 2% risk per trade?
Risk of ruin: 100%. Grade: F.
Drop to 1% risk and it changes everything.
Check yours free โ https://t.co/kMqlRqJ4sK
"The challenge is only $200"
At 5% pass rate:
โ 20 expected attempts
โ $4,000 total cost
The fee is NOT the cost. The math is.
Calculate your real cost โ https://t.co/UpHHCEHCYm
50% win rate with 1:1.0 RR sounds profitable.
But at 2% risk per trade?
Risk of ruin: 100%. Grade: F.
Drop to 1% risk and it changes everything.
Check yours free โ https://t.co/kMqlRqJ4sK
58% win rate with 1:1.0 RR sounds profitable.
But at 3% risk per trade?
Risk of ruin: 34.1%. Grade: D.
Drop to 1% risk and it changes everything.
Check yours free โ https://t.co/kMqlRqJ4sK
I built 10 free trading tools for prop firm traders.
No ads. No signup. No email capture. Just tools.
Position sizing, risk of ruin, challenge cost analysis, session timers, firm comparison, and more.
Here's what each one does ๐งต
https://t.co/gvlbiZDP7P
Also includes:
โ๏ธ 12 prop firms compared side by side
๐ Compound growth calculator
๐ Live session timer + ICT kill zones
โก Overtrading detector
๐ฏ "Am I Ready?" readiness quiz
All free, forever โ https://t.co/gvlbiZDP7P
One of the hardest lessons in business:
A product can be valuable.
A market can be large.
And you can still struggle.
Because value and distribution are two completely different games.
The longer I spend building quantitative systems,
the less I care about maximizing returns.
And the more I care about minimizing stupidity.
One blows up accounts much faster than the other.