Troubleshooting Trading API Errors and Understanding Backtest Limits
Summary
This beginner guide groups common automated trading failures into syntax mistakes, runtime bugs, configuration problems, and interface-call errors. Examples include invalid trading-pair formats, expired API credentials, network timeouts, exchange request limits, invalid symbols, and unsupported parameter values. It recommends using error messages to identify the likely cause and distinguishes calls that make network requests from local settings operations.
The article also explains that backtests are useful for finding logic problems but do not reproduce live execution perfectly. Simulation-level backtesting generates price movement within candle ranges and can therefore favor a strategy that fits the simulated path. The document introduces differences in where supported languages run their backtests, and encourages testing small pieces of code with backtests and debugging tools. Its discussion is platform-specific, and the supplied excerpt cuts off before completing the full comparison of backtest modes, so it does not establish that any strategy will work live.
Key ideas
- Classify failures as syntax, runtime, configuration, or interface-call errors to narrow troubleshooting.
- Check symbols, credentials, parameters, connectivity, and request frequency when exchange calls fail.
- Some interface errors return bad data without stopping the strategy, so code needs fault handling.
- Simulation-level backtests infer price paths from candles and may not match actual market movement.
- Use backtests and debugging tools to explore logic, while treating their results as limited evidence.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.