Blog
From Polarline Markets
Stories, ideas, and product notes from Polarline Markets on building Scout. More to come soon.
- Jaimin
ScoutBench: Measuring What Actually Breaks Trading Agents
ScoutBench scores coding agents on the failures that matter in trading research: hallucinated numbers, lookahead bias, sloppy arithmetic, and unverifiable memos. Here is how Scout, Claude Code, Codex, and OpenCode compare.
Read - Nisarg
Scout Front Office: The Scout Harness, in the Browser, Inside Your Cloud
Scout Front Office brings the Scout harness into a private browser interface inside your own cloud or VPC, so the whole fund can review and continue the same session.
Read - Nisarg
Introducing the Scout Back Office
A virtual back-office employee for modern funds. It starts with reconciliation, and it does not stop at a report.
Read - Polarline Markets team
Building Algorithmic Trading Strategies With AI (Bring Your Own Key)
How to use an AI trading assistant to build algorithmic strategies in Python while keeping full control: your model, your API key, your code, running locally from the terminal.
Read - Polarline Markets team
How to Backtest a Trading Strategy From Your Terminal
A practical, step-by-step guide to backtesting an algorithmic trading strategy from the command line: from a plain-English idea to real historical metrics you can actually trust.
Read - Polarline Markets team
Alpaca vs Binance for Algo Trading: A Workflow Comparison
A practical comparison of Alpaca and Binance for algorithmic trading: asset classes, paper trading, and how each fits into a terminal-based build, backtest, and deploy workflow.
Read - Polarline Markets team
yfinance Backtesting: A Practical Guide
How to use yfinance for backtesting algorithmic trading strategies: what it is good for, the data pitfalls to watch, and how to go from raw historical prices to trustworthy results.
Read - Jaimin & Nisarg
Why Scout?
What Scout is, in plain terms, and why we built an AI trading assistant that lives in your terminal instead of behind a dashboard.
Read