Research, product notes, and the work behind Scout.
Polarline Markets team
Meet Polarline Markets, the Ontario, Canada company behind Scout Research and Scout Operations. Find the official website and understand the software and investment program.
Read articleJaimin
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 articleNisarg
Explore shared Scout research sessions in the browser, including private cloud or VPC deployments with agreed permissions and model connections.
Read articleNisarg
Scout Operations is being built to investigate reconciliation breaks and coordinate fund workflows. Deployment scope, automation and human review are agreed with each team.
Read articlePolarline Markets team
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.
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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.
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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 articlePolarline Markets team
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 articleJaimin & Nisarg
What Scout is, in plain terms, and why we built an AI trading assistant that lives in your terminal instead of behind a dashboard.
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