20 Algorithmic Trading Tips
To finish with, here are some tips. I compiled it based on my mistakes. I hope it will help you avoid them.

20 Algorithmic Trading Tips
Trade small first. Size a live bot at 10 % of planned capital until it proves itself.
Back‑test with fees. Add maker‑taker and funding costs or the curve lies.
Walk‑forward. Re‑optimize on fresh data every month; kill parameters older than the market mood.
One market per bot. Mixing pairs inside the logic blurs stats and risk.
Keep code short. Fewer lines, fewer hidden bugs.
Log every fill. Timestamp, price, size, fee, lat‑delay — store it in CSV.
Cap drawdown. Hard‑stop the bot if equity dips 10 % below high‑water.
Use UTC everywhere. Avoid daylight‑savings chaos.
Ping the API. Health‑check every minute; restart on 5 fails.
Throttle orders. Stay under 20 calls/sec on Binance to dodge 429s.
Shadow trade. Mirror the strategy in paper for a week while the real bot runs micro size.
Spread risk. Two uncorrelated bots beat one “perfect” setup.
Parameter guardrails. Limit grid step, DCA scale, leverage in config — not hard‑coded.
Secure keys. Read API keys from env vars; never push them to Git.
Roll contracts. Futures bot must auto‑switch symbols before expiry.
Track slippage. Compare expected vs filled price; adjust limits if gap >0.1 %.
Automate alerts. Push fill, error, and drawdown pings to Telegram — react fast.
Update libraries. Patch ccxt/freqtrade monthly; old versions break at API upgrades.
Snapshot equity. Write daily balance to sheet; trends beat gut feel.
Kill switch ready. One command in the phone clears all orders and positions — sleep better.
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