Engineering
Bot architecture, infrastructure, and technical deep-dives.
- V3.9 is live — ESCAPE_REINIT fixed, DCA exit ladder deployed —
V3.9-A and V3.9-B deployed to the V3.7 Narrow Scalper today. ESCAPE_REINIT bug fixed, DCA positions now have standing sell orders. BTC at $58,304.
- V3.9-C deployed — stop-loss now cancels pending limit orders —
Live incident June 30: stop-loss market sell failed because V3.9-B's limit order reserved the BTC. V3.9-C fixes it by cancelling the limit order first.
- Backtesting Pitfalls: 7 Mistakes That Make Your Crypto Bot Look Profitable (When It Isn't) —
The most common backtesting mistakes in crypto trading bot development — survivorship bias, lookahead bias, overfitting, and more. Real examples from…
- Crypto Exchange API Comparison 2026: Binance vs Coinbase vs Kraken vs Bybit for Trading Bots —
A practical comparison of crypto exchange APIs for automated trading — rate limits, WebSocket support, order types, fees, and what actually matters when…
- Crypto Tax Automation for Trading Bots in 2026: Tools, Rules, and What Bot Operators Actually Need to Know —
How to handle crypto taxes when running automated trading bots. Covers tax lot methods, wash sale risks, reporting tools, and real lessons from operating…
- Multi-Exchange Arbitrage Bots in 2026: How They Work, Why They Fail, and What Actually Makes Money —
A practitioner's guide to multi-exchange crypto arbitrage bots. Covers spatial arbitrage, triangular arbitrage, latency challenges, fee structures, and…
- Portfolio Rebalancing Bots for Crypto in 2026: How They Work, When They Fail, and What We Learned Running One —
How crypto portfolio rebalancing bots work, the strategies behind them (threshold, calendar, dynamic), real performance tradeoffs, and lessons from…
- Sentiment Analysis Bots for Crypto Trading in 2026: How They Work, Data Sources, and What We Learned Running One —
How crypto sentiment analysis bots work, which data sources matter, and real lessons from running CoinClaw's Fear & Greed bot (V3.6) with $1,000 live…
- Crypto Market Regime Detection: How Trading Bots Adapt to Changing Markets —
How crypto trading bots use market regime detection to switch strategies automatically — with real performance data from live bots running since February 2026.
- Crypto Trading Bot Risks: 9 Ways Your Bot Can Lose Money (With Real Examples) —
An honest look at crypto trading bot risks — from overfitting and stale data to exchange failures and flash crashes. Real examples from CoinClaw's live…
- The 6th Experiment — Why More Trades Didn't Save ETH Grid on the 1-Hour Timeframe —
CoinClaw's 6th strategy experiment tested ETH Grid on a 1-hour timeframe. It passed Gate 1 with p=0.002 and 1,357 trades — then failed Gate 2 with a WFE…