u/rancidcat ·
Reddit — r/algotrading
· May 16, 2026 at 20:32
· ⬆ 15 pts
· 💬 8 comments
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AI Summary
Summary
A beginner algo trader describes building a bot that passed backtests with unrealistic returns, then after adding realism (slippage, spread) still showed small profits (0.7%). They are now stress-testing with scenario simulations before moving to paper trading.
The author’s thesis is that rigorous scenario-based testing is necessary to identify weaknesses before deploying live capital, but they offer no specific market views or ticker-level thesis.
Quality assessment: This is noise from a novice – no original research, no unique data, no actionable insight. The post is a request for testing advice, not a trade recommendation.
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Comments8
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I've begun delving into the world of algo trading about 2 months in now, i've built/building a bot its currently sat on a vps waiting for monday morning to start testing on live data, i've run years of back data on it and yes i'll be a millionaire next week from those results, then i added realism simulators and accounted for slippage and spread (bps) and now i can buy a car next week, so then i decided to build a trade data simulator to spew out scenario's to break the bot.
https://preview.redd.it/ige465ru7k1h1.jpg?width=324&format=pjpg&auto=webp&s=89b4fee52db278943f0426bd470cc446e0a948f1
As in the image i can generate trade data in the scenarios i've programmed for with different levels of intensity, which i have done, a years worth of each and ran them through my bot and it passed on all, more than that it showed profit on all, it might of been just 0.7%
I am also a noob at trading well more the lingo, what other scenario's can i use to try and break the bot, i just want to make sure i have protections in place before i even let it near paper trading let alone real funds.
Thank you for your suggestions i will enhance the simulator and keep testing.