Daily Financial Brief

Staying on top of financial markets means sifting through dozens of scattered sources every single morning before the opening bell, and I wanted a system that could do that legwork automatically and turn it into something genuinely readable. I built an automated pipeline in Python that runs on a daily schedule before market open, dispatching a fleet of parallel scraping agents that each pull financial news from a range of credible sources simultaneously rather than working through them one at a time, dramatically cutting down the time it takes to assemble a full picture of the market's overnight developments. Once the raw news is collected, it's handed off to Claude via the Anthropic API, which synthesizes the disparate articles into a single coherent, concise brief focused on the details that actually matter to investors: notable market movements, company-specific developments, and the kind of investment-relevant context that helps readers understand not just what happened, but why it's likely to matter. The architecture is intentionally structured as a multi-agent system, with scraping and synthesis handled as distinct coordinated stages, which keeps the pipeline modular and lets each part of the process be tuned independently. To keep the project sustainable from a cost standpoint, the brief is generated exactly once each morning and published to a website as a static, read-only page — users can visit and read the day's brief anytime, but the system doesn't spin up new Claude calls per visitor, which keeps API usage predictable while still delivering a genuinely useful daily resource for anyone trying to stay informed on the market before it opens.