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StockLocks
AI scans Congress so you trade bills, not headlines
5 followers
AI scans Congress so you trade bills, not headlines
5 followers
StockLocks scans every bill moving through the US Congress and uses AI to score its potential market impact. Each morning, subscribers receive a LOCK report: the specific stock tickers likely to be affected, technical indicators (RSI, MACD), a bill pass-likelihood score, and a confidence rating for each signal. The result is a daily briefing that connects legislative activity to actionable market data before the news cycle picks it up.
About two years ago I started noticing something weird. A bill would get introduced in committee, no press coverage, no headlines, and within days specific sectors would move. Not dramatically. Just enough to notice if you were paying attention.
I went looking for a tool that connected congressional legislation to market signals. Everything I found just showed me what politicians had already traded. That's useful context, but it's backward-looking. I wanted to know which stocks would be affected by bills still being debated, before any trade was filed, before any analyst picked it up.
So I built StockLocks. It scans the most popular bills in Congress, scores market impact with AI, and delivers daily LOCK reports with tickers, technicals, pass-likelihood scores, and confidence ratings. The goal is simple: give investors a structured, predictive view of how legislation moves the market, early enough to actually act on it.
We're offering a 14-day free trial, no credit card required. I'd genuinely love feedback from this community. Ask me anything in the comments, about the model, the scoring methodology, how we handle false signals, whatever's on your mind.
FAQs:
"How is this different from just reading a congressional calendar and guessing which sectors get hit?"
Reading the calendar tells you a hearing is scheduled. It does not tell you which of the 15,000+ bills introduced per session have real momentum, which sectors they affect, or which specific tickers carry the most exposure. StockLocks scores pass-likelihood based on sponsor history, committee composition, cosponsors, and procedural signals. Then it maps affected tickers and layers in technical indicators so you can see whether the stock is already overbought or sitting at support. The volume of legislation makes manual tracking impractical. The AI does the filtering and scoring. You make the trade decisions.
"What is your accuracy rate on bill pass-likelihood scores? If the model is wrong half the time, the signals are noise."
We publish our scoring methodology and track historical accuracy openly. But the more important point: the signal is not just whether a bill passes. A bill advancing from subcommittee to committee markup can move affected stocks even if it never becomes law. Regulatory expectations shift. Sector sentiment shifts. StockLocks tracks those inflection points, not just final passage. Our confidence rating on each signal tells you how much weight to give it. Low-confidence signals are clearly labeled.
"Unusual Whales shows me actual trades by actual members of Congress. That is a proven signal. Why would I trust an AI prediction over real disclosed trades?"
You should use both. Congressional trade disclosures are valuable, but they are filed up to 45 days after the transaction. By the time you see the trade, the position is established and the price has moved. StockLocks operates at a different point in the timeline: we analyze the legislation itself while it is still being debated. Think of disclosed trades as confirmation of a thesis. StockLocks gives you the thesis earlier. They are complementary, not competing.
"AI scoring sounds like a black box. How do I know your model is not just pattern-matching noise and calling it a signal?"
Every LOCK report shows you the inputs: the specific bill, its current status, the pass-likelihood score and the factors driving it, the affected tickers, and the technical indicators at the time of the report. Nothing is hidden behind a single number. If you disagree with the scoring, you can see exactly why the model flagged it and make your own call. We built this to be transparent and auditable, not to ask for blind trust.
"Legislation moves slowly. Most bills die in committee. How many actionable signals does this actually produce per week?"
You are right that most bills die. That is exactly why the filtering matters. We do not send you a report on every bill — we surface the ones with real momentum and measurable market exposure. Subscribers typically receive 3 to 7 actionable signals per week, depending on the legislative calendar. During active sessions with major policy debates, that number increases. During recesses, it decreases. We would rather send you three strong signals than twenty weak ones.