Lessons from Crypto Trading and Building an Independent Bot Stack
Summary
The author recounts a path from manual crypto trading and losses to building strategies with FMZ, a trading platform. Experiments included an exchange funding rate strategy, studying high frequency trading, and trying a Martingale approach. A sharp market decline nearly caused the Martingale strategy to fail, leading the author to abandon it; funding rate trading was later dropped when it stopped being profitable. The account argues that profitable patterns depend on market or exchange mechanics and may only persist for limited periods.
The author also describes replacing platform services with a self managed Python setup: monitoring and logs through Grafana and InfluxDB, JSON files for parameters, a Flask interface for commands, and Telegram alerts. These are personal experiences and architectural choices, not a controlled evaluation or evidence that the strategies were profitable over a broad sample. The author emphasizes operational reliability, including avoiding trades based on stale market data and planning for exchange outages.
Key ideas
- The author links strategy opportunities to specific market and exchange mechanisms.
- Funding rate trading and Martingale experiments had different outcomes in the author’s account.
- The author warns that Martingale can expose a trader to severe loss during sharp declines.
- A self hosted setup can replace platform features for monitoring, configuration, commands, and alerts.
- Reliable handling of exchange problems and stale prices is part of strategy design.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.