Trading Bot Reliability Lab
Reference implementation, real code, no profit promises
This lab teaches production automation engineering through trading bot source code. You will learn exchange API handling, strategy backtesting, rate limiting, crash recovery, and reliability controls—not how to get rich.
AlgoTrak Backtest Lab
Free · Open Source · MIT License
A free, open-source toolkit for backtesting crypto trading strategies in Python. Backtest 5 classic strategies against real Binance historical data, understand Sharpe ratio, max drawdown, and win rate, and experiment with stop losses, take profits, and position sizing.
- SMA Crossover, RSI Mean Reversion, MACD, Bollinger Breakout, Buy & Hold
- Jupyter notebooks with interactive charts
- Parameter sweeps, equity curves, trade markers
How strategies are designed, tested, and evaluated. Understand Sharpe ratio, max drawdown, win rate, and why backtesting is not prediction.
Rate limits, authentication, timestamp drift, WebSocket reconnection, and ban prevention. Real failure modes from production systems.
Stop rules, position sizing, crash recovery, reconciliation loops, and idempotency. Engineering controls that prevent double orders.
Strategy backtesting runner
The AlgoTrak Backtest Lab ships with 5 runnable strategies you can test, tweak, and evaluate against real Binance historical data. Each strategy is a self-contained Python class with configurable parameters, logging, and performance metrics.
SMA Crossover
Buy when fast SMA crosses above slow SMA. Configurable periods, signal smoothing, and exit on cross-down.
RSI Mean Reversion
Buy when RSI crosses below oversold threshold, sell when above overbought. Configurable period, thresholds, and cooldown bars.
MACD Crossover
Buy on MACD line crossing above signal line. Configurable fast/slow/signal periods and confirmation bars.
Bollinger Breakout
Buy when price touches lower band, sell at middle or upper band. Configurable deviation multiplier and exit targets.
How the runner works
Each strategy extends a common base class with evaluate(df) → signal. The runner loads historical data, iterates bar by bar, tracks positions, and outputs an equity curve with Sharpe ratio, max drawdown, and win rate. Jupyter notebooks let you visualize trades on price charts and run parameter sweeps.
Lab articles
Crash Recovery: Reconciliation Loops That Prevent Double Orders
How to handle unexpected process termination without duplicate trades.
Trading Bot Keeps Getting 429s After Deploy
Why rate limit storms happen and how to stop them with bounded retries.
WebSocket Disconnects in Trading Bots: Reconnection That Works
Production-grade WebSocket reconnection with gap detection and heartbeat.
API Key Suddenly Forbidden: Why Exchange APIs Ban Trading Bots
How incorrect API usage triggers bans and how to prevent them.
How I Built a Real-Time Crypto Trading Bot in Python
Full walkthrough of a modular Python trading bot with exchange integration.
Why Most Crypto Trading Bots Fail
Common failure patterns and how to build one that survives production.
WebSocket Closed with 1006
Why trading bots lose connection without an error code, and safe reconnect.
Binance Error -1021: Timestamp Outside recvWindow
Fix clock drift that causes signature errors on Binance signed requests.
Bybit Error 10006: Params Timestamp Illegal
Fix Bybit timestamp rejection and distinguish from other auth errors.
Resource kits
Exchange API Ban Prevention Runbook
Operational checklist to avoid and recover from exchange bans.
Exchange Rate Limiting Package
YAML config templates and logging schemas for Binance, Kraken, Coinbase, Bybit.
Crash Recovery Reconciliation Kit
TypeScript reconciliation loop template and startup sequence checklist.
WebSocket Reconnection Kit
Singleflight reconnect, jittered backoff, and message gap detection.
Timestamp Drift Prevention Package
NTP config templates and clock drift monitoring setup.
Retry Backoff + Jitter Checklist
Production-safe retry defaults for exchange API clients.
Important disclaimer
Educational software only. All code and content in the Trading Bot Reliability Lab is provided for educational and reference purposes. It is not financial advice, trading advice, or a recommendation to trade.
No profit guarantees. Past backtest results do not guarantee future performance. Real trading involves substantial risk of loss. Do not trade with money you cannot afford to lose.
No passive income. This lab focuses on engineering reliability—rate limits, reconnects, idempotency, state reconciliation, logs, and risk caps. It does not promise trading returns.
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