Insights on algorithmic trading, Go development, agentic strategies, and the Wisp framework.
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Wisp is an open-source Go framework for algorithmic trading. It handles exchange connectors, order routing, position tracking, and process management — so you can focus on strategy logic, not infrastructure.
Recent Posts
A step-by-step guide to writing and deploying a live crypto trading bot using the Wisp Go framework — from project setup to a running RSI momentum strategy on Hyperliquid.
Backtesting and paper trading both validate strategies before you risk real capital — but they test different things. Here's when to use each, and why you need both.
Python wins on research speed; Go wins on production reliability. A direct comparison — and why Wisp is the Go framework built specifically for the production side of that equation.
Backtesting is the process of running a trading strategy against historical data to evaluate its performance before risking real capital. Here's what it is, how it works, and the most common ways it misleads you.
How to monitor multiple crypto exchanges simultaneously, detect cross-exchange price discrepancies, and execute multi-leg signals — all from a single Wisp strategy.
Go isn't the obvious choice for algorithmic trading — but for production bots, it's the right one. Here's why the Wisp framework is built in Go, and why it matters when real money is on the line.
Polymarket lets you trade YES/NO contracts on real-world events using a central limit order book. Here's how it works, how positions resolve, and how it compares to trading on a crypto exchange.