Find members of Congress, tickers, 13F funds and Fed officials by name or symbol.

Use this first when you have a name or part of a ticker and need the politician id, fund id or exact symbol that the other tools take. Matching is case-insensitive and partial ("pelosi", "NVD", "berkshire").

Args: query: A name or ticker fragment, 1-80 characters.

Stock trades disclosed by members of Congress (House and Senate PTRs).

Filter by ticker and/or politician id (from search), direction, who in the household traded, asset type, and a date range on the trade date. Newest first. Amounts are the dollar brackets the law requires, not exact figures. direction already treats a put purchase as the bearish bet it is.

Args: ticker: Exact symbol, e.g. NVDA. politician_id: From search. direction: buy or sell. owner: self, spouse, child or joint. asset_type: stock, option or other. since: Earliest trade date, YYYY-MM-DD. until: Latest trade date, YYYY-MM-DD. limit: Rows to return, 1-100 (default 25).

InsiderTrack's composite score for one ticker, with the reasons behind it.

Score is 0-100: smart money (13F holders) + Congress buying weighted by each member's track record + corporate insiders (Form 4) + momentum, minus a risk penalty. label is the human bucket (e.g. "Strong Watch", "High Risk"); signal is BULLISH / NEUTRAL / BEARISH. Only tickers traded by a tracked member of Congress in the window have a score.

Args: ticker: Exact symbol, e.g. NVDA.

The strongest composite scores right now, highest first (use ticker_signal for the reasons).

Args: limit: Rows to return, 1-25 (default 10). min_score: Only tickers scoring at least this (0-100).

Companies where several corporate insiders bought their own stock on the open market.

"Cluster buys" — two or more distinct officers, directors or 10% owners filing open-market purchases (Form 4 code P) within the window — are one of the stronger public signals. Market-wide, not limited to what Congress trades. Sorted by total dollars.

Args: days: Look-back window, 1-365 (default 30). min_buyers: Minimum distinct insiders buying, 1-10 (default 2). limit: Rows to return, 1-100 (default 25).

How a member of Congress's disclosed stock buys (and sales) actually performed.

Every buy is measured from the first close after disclosure at 30/60/90 days, against SPY over the same days. weight_in_score is what that record earns the member's trades in the composite score (1.0 = neutral). Sales are measured the same way (a good sale is one the stock then fell).

Args: politician_id: From search. recent_trades: Measured buys to list, 0-50 (default 10).

Members of Congress ranked by how often their stock buys beat SPY at 90 days.

Only members with at least min_trades measured buys are ranked, so a lucky single trade does not top the list. weight_in_score is the multiplier that record earns their trades in the composite score.

Args: min_trades: Minimum measured buys to qualify, 1-200 (default 10). limit: Rows to return, 1-50 (default 20).

Members of Congress who disclose trades after the STOCK Act deadline.

A trade must be reported no later than 45 days after it happened. This ranks members by how many of their trades were disclosed later than that (trade date to filing date), with the share late, how many reports, the typical and longest delay, and a link to the worst filing. Late usually means one big catch-up report covering many trades; a multi-year "longest" can be a typo in the filing itself — the link lets a reader check. Late filing is a disclosure failure, not evidence of insider trading; say so if the user implies otherwise.

Args: days: Only trades disclosed in the last N days, 1-3650; omit for all history. limit: Members to return, 1-50 (default 15).

Does a label actually go up — and beat the market? Every score bucket at 30/60/90 days.

InsiderTrack snapshots every ticker's score daily and fills in what the price did 30, 60 and 90 days later. This is the scorecard: per label, how many snapshots resolved, how many went up/down/flat, the win rate, and — against SPY over the same trading days — the average excess return in percentage points and how often the label beat SPY. A label that goes up in a rising market but trails SPY has no edge; lead with the SPY numbers. Scoring regimes change over time; results are per version (default: the current one). Small resolved counts mean the regime is young — say so.

Args: score_version: Restrict to one scoring regime; default is the current one.

The site's own AI model's morning brief and directional calls — and how they scored.

Each morning the model reads the day's disclosures and makes 3-5 calls (ticker, bullish/bearish, 30/60/90-day horizon, confidence, reasoning). Calls are scored at their horizon against SPY exactly like members' trades. Treat it as a scorecard of the model, not a forecast.

Args: history: Also return this many past calls, newest first, 0-100 (default 0).

Institutional investors (13F filers) ranked by how their position changes performed vs SPY.

Each fund's new and increased positions are measured from the day the 13F became public (up to 45 days after quarter end — the date that matters, not the quarter end) at 30/60/90 days against SPY. window is the longest horizon with data; a fund needs two loaded quarters to be measured at all, so early on only a few are ranked and the rest show measured: false. Use fund_track_record for the detail.

How one institutional investor's 13F position changes performed vs SPY.

"Buys" are new and increased positions, "sales" trims and exits (measured in the inverted sense: a good sale is one the stock then fell). Every change is measured from the 13F's public date — a quarter- end snapshot the fund filed up to 45 days later — so this is what a person copying the filing could have done, not what the fund did. Windows with n 0 simply have no resolved data yet.

Args: holder_id: From fund_leaderboard or search. recent_changes: Measured changes to list, 0-50 (default 10).