Can AI replace MonkStreet?
The software half of a signals service is genuinely small: pull daily bars, compute factors, rank a universe, backtest with walk-forward windows, email yourself the top names. An agent will get you that in a weekend, and it will look uncomfortably similar to what you are paying for. What you cannot one-shot is point-in-time fundamentals, survivorship-bias-free universes and clean corporate actions, which is exactly where homemade backtests turn into fiction that says 40 percent a year. The unverifiable part is whether the paid edge is real, because no subscriber gets to audit it either. So build the harness, use it to think, and do not confuse a green equity curve on free data with alpha.
Replacing a paid app means you set it up and keep it running: hosting, updates and backups can be on you. What you give up.
01What it costs
Checked Aug 18, 2026 · source: monk.st.
02Could AI build it for you?
The core job: Pulls daily price data for a chosen universe, ranks it with momentum and value style factors, backtests the ranking with walk-forward rebalancing, and emails you the current top and bottom names.
What a working version needs:
- 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
Building the harness is the cheapest way to find out how fragile most published edges are, including the one you are paying for.
03What you'd give up
- 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
People pay for a decision, not for code. A signals subscription outsources the part that is actually hard, which is committing to a rule and sticking with it through a drawdown, and it does so with a narrative confident enough to hold onto. There is also the data gap: a paid service can license clean point-in-time fundamentals that a hobbyist cannot, and that difference shows up as backtests that are less flattering and more honest. The uncomfortable part is that from the outside you cannot tell a licensed, carefully validated process from a spreadsheet with good copywriting, and both charge monthly.
04The build prompt
The complete build prompt, plus 11 step-by-step prompts from research to launch, a design system file, a page-by-page spec, the data model and a launch checklist.
Get the Build Kit · $9 →One-time payment. Delivered on screen and by email.
Prices change; confirm on the vendor's site before you decide.
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