Every trade below was filtered through trader quality, herd movement, bill exposure, technicals, sector momentum, campaign donors, and lobbying overlap. The result is a tier — S, A+, A, B, C — that summarises how much edge that single trade carries. A+ trades have historically been the highest-conviction setups; lower tiers are noisier and usually need confirmation. Use the filters to find fresh A+ ideas, or sort by recency / direction / sector.

Each ticker below has fired on 2 or more of our signal layers — congressional buying or selling, hedge-fund accumulation in 13F filings, herd movement (3+ politicians at once), technical breakouts, and sector-momentum shifts. The system stacks them automatically: when independent sources point the same way, the noise cancels and what's left is real conviction.

The four pillars are committee oversight (the politician sits on a committee with jurisdiction over the ticker's sector), campaign donors (the company or its industry funded their campaign), lobbying overlap (the company lobbied Congress on a bill they voted on), and bill exposure (an active bill names this ticker as a winner or loser). When 3 or 4 of these stack on a single trade, you are looking at a textbook conflict-of-interest fingerprint.

Every row below is a trade placed after the ticker dropped 5%+ in the prior 30 days. That is the moment most retail sells. When a member of Congress buys instead — especially one with a strong quality tier and a real position size — they are implicitly betting on information the market does not yet have: a coming bill, a regulatory pause, a contract award, a settled investigation. Conviction is scored from politician quality, trade size, and signal tier.

Each row is scored on three independent confirmations: pass likelihood (deterministic model on bill stage, cosponsors, committee activity), impact ratio (estimated revenue lift or hit to the ticker if the bill is enacted), and insider load-up (corporate Form 4 buying clusters in the same window). The EV score multiplies all three — when bills, impact, and insiders agree, the setup is asymmetric.

For each current signal, the model finds the most similar past trades based on signal tier, convergence, sector momentum, and technicals, then averages the realized 7-day and 30-day forward returns of those neighbors. Accuracy is how often the neighbor cohort moved in the predicted direction; confidence rises with sample size and how tightly the neighbors cluster. Treat it as a quantified base rate — not a prediction of certainty.

Open-market Form 4 purchases are the cleanest insider signal in markets — executives only buy when they think the stock is undervalued. A cluster of 2+ different insiders buying within the same window is statistically rare and historically predictive. We score by cluster size, total dollar volume, and seniority (CEO/CFO buys carry more weight). Combine with the Whales tab to find tickers where bills, impact, AND insiders all converge.

We cross-reference every STOCK Act purchase against the USASpending.gov contract feed. When a member of Congress buys a ticker within the lookback window — and a federal contract to that same company is announced shortly after — the trade is flagged PRESCIENT. Filter by contract size, window, and party to surface the cleanest cases.