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Pro Algo Trading | AlgoKing

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checking my backtests for overfitting
worried my strategies are overfit to historical data. spent today testing for it. been reading NexusFi backtesting threads about this exact problem. the problem # my backtests look great:
week 2 review - back in the red
week 2 sucked. gave back week 1 gains and then some. the numbers # trades this week: total: 7 wins: 3 losses: 4 win rate: 43% avg winner: $310 avg loser: $485 net: -$1,010 account:
how i organize my trading code on github
got asked on r/algotrading how i organize my trading repos. here’s my setup after 4 months of refactoring. repo structure # i have 4 main repos:
correlation risk - learned the hard way
lost $1,400 yesterday because i didn’t track correlation between my positions. dumb mistake. what happened # may 10, 2pm:
interactive brokers vs tastyworks APIs - which is better for algo trading
been using both IB and tastyworks for 4 months now. the thing is matters for algo trading. background # started with interactive brokers in january when i went live. added tastyworks in march specifically for options premium selling.
polygon.io data feed review after 1 month
been using polygon.io for options data since april. here’s my review after 1 month. background # was using alpha vantage (free tier) until march. data quality was shit:
week 1 review - small progress
first week of may done. +$520. not amazing but way better than april’s weekly average (-$3k/week). the numbers # trades this week:
fixed the fucking assignment bug
found the bug that cost me $5k in april. took 6 hours but finally fucking fixed it. the problem # selling options spreads. sometimes short leg gets assigned early (ITM before expiration).
may day 1 - smaller position sizes
cut position sizes in half. only trading 3 strategies now. first day of may went… fine? +$180 on one trade. nothing else triggered. new risk rules # old position sizing: 2.5% risk per trade = $850 max loss (on $340k account)
april wrap - down another 12k
april P&L: -$12,384 4-month total: -$60k not improving fast enough. the numbers # Figure 1: Monthly and cumulative P&L Jan-Apr 2023. Trend is slightly improving but still deep red.