Build MonkStreet
KINDAreplaces $200/mosaves $2,400/yrback to the verdict
Before step 1
you will need
- Python 3.11 and a machine that can run a nightly job
- a market data source with an API key, free tier is fine for daily bars
- an SMTP account or similar for the daily digest
- enough statistics to distrust your own backtest
Delivery order
Scaffold the smallest runnable application and document its commands.
done whenThe project starts from a documented command in a clean checkout.
Implement the primary data model and core workflow.
done whenThe main object can be created, read and changed end to end.
Add validation, safe failure states, and persistence.
done whenBad input is refused with a readable message and nothing is left corrupted.
Cover the critical path with automated tests.
done whenThe highest-risk behavior fails the suite when it breaks.
Exercise a clean install from the README and fix every missing step.
done whenA fresh clone reaches the first successful workflow using only the README.
That is the whole plan for MonkStreet. What it deliberately does not cover is below · check the gaps before you call it a replacement.
- Point-in-time fundamentals and delisted tickers, so your backtest quietly assumes the losers never existed
- Clean handling of splits, dividends, mergers and index reconstitutions
- Whatever research process, however good or bad, sits behind the paid signal
- Someone else's conviction to blame when a position goes against you
- Any institutional data feed: short interest, filings parsing, tick data, borrow costs
Need the files? The project pack on the verdict page hands your agent the whole brief · more personal finance.