How to track Congress stock trades (free)

Why congressional trades are public in the first place

The STOCK Act of 2012 (Stop Trading on Congressional Knowledge Act) requires members of Congress, and many senior staff, to publicly disclose their securities transactions. The goal is transparency: lawmakers sit close to policy, legislation and briefings, so the public has a clear interest in seeing what they trade. Every covered transaction is reported on a Periodic Transaction Report (PTR) and filed with the House Clerk or the Secretary of the Senate, where it becomes a searchable public record.

Where the data actually comes from

All congressional trade trackers: free or paid: ultimately draw from the same two official sources:

• House Financial Disclosure portal, which publishes representatives' PTRs.
• Senate Financial Disclosure portal, which publishes senators' PTRs.

Those portals are authoritative but clunky: filings often arrive as scanned PDFs, names and tickers aren't always standardized, and there's no clean way to scan everything at once. That's the gap third-party trackers fill, they parse the filings into a structured, searchable feed. When you compare tools, the real differences are how quickly they ingest new filings, how cleanly they normalize the data, and what context they show alongside it.

How to read a disclosure without getting fooled

The single biggest mistake is treating a fresh filing like a fresh trade. It isn't. Keep four things in mind:

• The reporting lag is real. A PTR is due within 30 days of the member being notified of a trade, and no later than ~45 days after it happens. So by the time you see a filing, the trade is days to weeks old: and the price you'd pay today may be very different.
• Amounts are ranges, not exact figures. Filings disclose dollar brackets (for example, $1,001–$15,000), so treat every size as approximate. A "large" trade in one bracket can still be a routine reallocation.
• The trader may not be the member. Many transactions are executed by a spouse, a financial advisor, or inside a blind trust or managed account, not a personal, conviction-driven bet.
• Clusters matter more than one-offs. A single filing is a data point. Several members moving into the same name, or one member repeatedly adding to a position, is a more interesting pattern worth researching.

A simple workflow for following Congress trades

1. Scan new filings for names, not noise. Skim recent PTRs for tickers and directions (buy vs. sell), and flag anything that repeats or clusters across members.
2. Add market context. Pull up the stock's current price and chart, and check whether anything has already moved since the trade date: remember, you're looking at history.
3. Cross-reference the options tape. If a disclosed name also shows unusual options flow, that's a hint other participants are paying attention to the same ticker right now.
4. Research, don't reflex-copy. Use the disclosure as a starting point for your own work, not a buy signal. The lag alone makes blind copying a poor strategy.

How RadarPulse makes this easier

Rather than bouncing between filing portals and a separate charting tab, RadarPulse brings the official disclosures into the same dashboard as live market data. You can scan recent congressional stock trades from public filings, see the current price and chart for any disclosed name, and check it against live options flow, all in one view. The built-in Ask Radar assistant can even summarize recent activity in plain English using real numbers. It's the fastest way to turn a pile of PDFs into something you can actually scan.

The STOCK Act of 2012: what it requires and what it doesn't

To use congressional trading data well, you need to understand the law that created it. Before 2012, the legal landscape was genuinely murky: members of Congress could arguably trade on non-public information they received through their official duties without violating insider-trading laws, because those laws historically applied to corporate insiders and not to elected officials. The Stop Trading on Congressional Knowledge Act, signed into law in April 2012, changed that explicitly. It clarified that congressional trading on material non-public information obtained through official duties is illegal under the same securities laws that apply to everyone else. It also mandated that covered officials make their trades public.

What the STOCK Act requires

The core obligations are:

• Periodic Transaction Reports (PTRs). Any covered transaction greater than $1,000 must be disclosed within 30 days of the member being notified of the trade, and no later than approximately 45 days after the trade occurs. Each PTR must include the asset, transaction type (purchase, sale, or partial sale), approximate date, and a dollar amount in one of several prescribed ranges.
• Annual Financial Disclosure Statements. Filed every May, these are broader: they cover all assets and liabilities above a threshold, not just recent trades. They provide a full snapshot of a member's holdings at a point in time.
• Electronic public access. Disclosures must be made available on the official portals and searchable by the public, though the quality of the search experience is, charitably, uneven.
• Coverage beyond members. The STOCK Act also covers the President, the Vice President, the Cabinet, senior executive branch officials, and "senior employees" of Congress, defined roughly as staff earning above a set salary threshold, including chiefs of staff, legislative directors, and similar roles.

What the STOCK Act doesn't require

Equally important is what the law does not require, because misunderstanding this leads to misreading the data:

• There is no requirement to disclose the reason for a trade. A member who sells defense stocks two weeks before a contract announcement does not need to explain why.
• There is no requirement to disclose trading strategy, whether a position is part of a longer-term thesis, a rebalancing, a tax move, or anything else.
• There is no requirement to distinguish between discretionary and managed trades. A trade executed by a financial advisor, a brokerage's automated rebalancing algorithm, or a spouse acting independently looks the same on a PTR as a personal conviction trade.
• There is no requirement to disclose the exact dollar amount. Filings use range brackets (e.g., $15,001–$50,000), so you know the approximate size but not the precise figure.

The 2013 amendment and the rollback of online access

One year after the STOCK Act passed, Congress amended it to remove the online-searchability requirement for financial disclosures made by junior staff, a quiet but significant rollback. The change was passed late in the legislative session with little public debate and was controversial with transparency advocates, who argued that it created a two-tier system where senior members remained fully visible but the thousands of staffers who are also covered by the law became effectively invisible online. Under the amendment, junior staff disclosures are still filed (they exist in paper or in hard-to-access formats) but they are not indexed in the standard public portals the way member disclosures are.

The fine for late filing: $200

The penalty for failing to file a PTR on time is a $200 fine per late report. For a member of Congress earning $174,000 per year, this is not a deterrent. Egregiously late filings, months late, sometimes covering dozens of transactions, are routine, and penalties are rarely enforced in any meaningful way. Several analyses of the filing database have found members who have paid the $200 fine repeatedly, essentially treating it as a cost of non-compliance. This fine structure is one of the primary criticisms of the STOCK Act from reform advocates, and multiple proposed bills have sought to raise it substantially.

The practical implication for you as a researcher: when a member files a batch of late PTRs all at once, you may see a sudden flood of old trades that appear "new" in the tracker. Always look at the transaction date field, not the filing date, to understand when the trade actually happened.

The 45-day problem: how to work around the reporting lag

The most common frustration with congressional trade data is the lag. By the time a filing appears in the public portal, and then in any tracker, the trade is typically at least two weeks old and sometimes six weeks or more old. During that window, the stock may have moved 10%, 20%, or more based on the very information the member may have had access to when they made the trade. So is the data useless? No. But you need strategies to make it actionable despite the delay.

(a) Cluster tracking

A single PTR from one member is a weak signal. But when multiple members file trades in the same stock within a compressed window, say, a 2–3 week span of filing dates, even if the trades themselves occurred 4–6 weeks ago, that cluster is worth investigating now. The logic: if several legislators are accumulating the same name, the information environment around that name was interesting to informed people during the trading period. Whether that information has fully priced into the current market is a separate question, but the cluster arrival is a real-time prompt to look harder at the name.

RadarPulse's Congress Trades tab is designed to surface these clusters rather than burying individual filings in a chronological feed. When you see two or three members in the same name within a short span, that's the filter that matters.

(b) Sector tracking with committee weighting

The lag is less damaging when you're tracking sectors rather than individual stocks. A defense committee member who has been steadily accumulating defense contractors over three quarters is sending a directional signal about their view of the defense spending environment, a signal that doesn't expire in 45 days the way a single-name trade might. By mapping committee memberships onto their sector-relevant trading patterns, you can build a picture of which sectors congressional insiders are tilting toward structurally, not just episodically.

The key insight: committee-relevant trades carry a different information weight than cross-sector trades. A member of the Senate Armed Services Committee buying Raytheon is a different data point than a member of the Senate Finance Committee buying Raytheon. Both are disclosed, but the first comes with a plausible information advantage that the second doesn't.

(c) Calendar-based anticipation

You can reduce the sting of the lag by working forward from known catalysts rather than backward from past trades. The approach:

1. Identify upcoming catalysts in sectors where specific committee members have recently been active: earnings, FDA decision dates, Pentagon contract announcements, regulatory rulemaking deadlines, vote calendars.
2. Cross-reference with recent PTRs for members with relevant committee exposure to see if they've been positioning.
3. Use the combination, member activity in the sector + approaching catalyst, to frame a research question rather than a trade signal.

This approach turns the lag from a bug into something more manageable: you're not trying to chase old trades; you're using disclosed positioning as context for an upcoming event.

(d) Cross-reference with live options flow

The most powerful lag-mitigation strategy is the one RadarPulse is built around: cross-referencing congressional disclosure data with live unusual options flow. If a stock was disclosed by several Congress members four weeks ago and fresh institutional call flow is appearing in that name today, you have two independent streams pointing at the same name. The congressional disclosure tells you that informed people were buying weeks ago; the options flow tells you that other sophisticated participants are positioning now. Together, they're a more compelling research prompt than either stream alone.

The key word there is "research prompt." Neither stream is a buy signal by itself, and the combination is not a guaranteed outcome. But as a filter for where to spend analytical attention, the confluence of old congressional positioning and fresh options flow is one of the higher-quality inputs available to a retail trader.

Who files, who doesn't, and what's often missed

Who must file

The STOCK Act's coverage is broader than most people realize. PTR requirements apply to:

• All 535 members of Congress (435 Representatives, 100 Senators)
• The President and Vice President
• All Cabinet members and senior executive branch officials
• Congressional "senior employees", roughly, those earning above the GS-15 pay scale equivalent, which captures chiefs of staff, legislative directors, and policy directors of committees

In practice, the member-level filings are the ones that make news and get tracked by third-party tools. Executive branch filings exist but receive less systematic coverage, which is a gap in the public analytical landscape.

The spouse problem

PTRs are required to disclose trades made by the member's spouse and dependent children as well. This is often overlooked by casual followers who assume the filing represents only the member's personal activity. In several high-profile cases, members have attributed substantial trading activity to a spouse, sometimes in ways that appear to create distance from the trade while still complying with the disclosure requirement.

The key point: spousal trades are still disclosed, so the information is there, but it requires a slightly different interpretive frame. A member who says "my spouse manages her own portfolio independently" is claiming the trade wasn't informed by their official position. That claim is not verifiable from the disclosure itself. What you can do is note the pattern: if a member's spouse is consistently trading in sectors directly relevant to the member's committee work, that's a pattern worth flagging regardless of the attribution.

The blind trust exception

Members with assets held in a "qualified blind trust" (QBT) as defined by the Ethics in Government Act are exempt from PTR requirements for those trust assets. In a true QBT, the member hands control to an independent trustee, has no knowledge of the specific investments, and cannot influence investment decisions. If the conditions are met, trading inside the trust doesn't appear in the disclosures at all.

The practical reality: very few members use legitimate QBTs because the requirements are onerous. The trustee must be genuinely independent (not a family member or former employee), the member must liquidate any assets they "know about" before placing them in trust, and the structure requires Ethics Committee approval. It's a high bar that most members don't clear.

A related point that caused significant public confusion: during President Trump's first term, his assets were held in a revocable trust managed by his sons, not a QBT. Revocable trusts don't qualify for the exemption, so his financial disclosures (in the annual statement, not PTRs) covered those assets. The distinction matters because it affects what's visible.

Top traders in Congress: historical patterns

Multiple academic studies have found that members of Congress have historically outperformed the broader market in their personal portfolios. A landmark 2004 study by Ziobrowski et al. found that senators' portfolios beat the market by approximately 85 basis points per month over the study period, a result that contributed to the push for the STOCK Act. A 2011 follow-up study found similar patterns in the House. These findings don't prove that all members trade on non-public information, but they are consistent with an information advantage at the portfolio level.

Several specific members and situations have drawn sustained public scrutiny:

The February 2020 trading controversy

In the days following a private Senate briefing on the emerging COVID-19 pandemic in late January and early February 2020, several senators sold significant equity holdings before the market's March selloff. Senator Richard Burr (R-NC), then the chairman of the Senate Intelligence Committee, sold between $628,000 and $1.7 million in stock. Senator Kelly Loeffler (R-GA) and her husband, the chairman of the New York Stock Exchange, sold millions more. Senator Dianne Feinstein (D-CA) and Senator Jim Inhofe (R-OK) also sold during this period.

The Department of Justice investigated Burr; the investigation was ultimately closed without charges. The episode became the central illustration of why the STOCK Act's enforcement mechanism, the $200 fine plus public disclosure, is widely seen as insufficient.

The Pelosi trades

Nancy Pelosi and her husband Paul Pelosi have been among the most closely followed congressional traders, primarily because their disclosed activity has been concentrated in large-cap technology names, NVDA, MSFT, AAPL, Alphabet, and has often involved options strategies (specifically LEAPS calls) rather than just stock. The size of Paul Pelosi's disclosed options trades has been notable: a disclosed purchase of NVDA call options in 2021 and 2022, for example, was sized in the millions. The Pelosis' defenders note that Paul Pelosi is a venture capitalist whose portfolio would naturally be tech-heavy independent of any congressional information. Critics note the committee overlap: Nancy Pelosi served as Speaker and has access to legislative schedules on semiconductor subsidies, antitrust regulation, and technology policy. No trades have resulted in legal action.

Senator Tommy Tuberville

Senator Tuberville (R-AL), a member of the Senate Armed Services Committee, has made numerous disclosed trades in defense contractors during his Senate tenure. His filings have shown purchases in companies like Northrop Grumman, L3Harris, and similar names during periods of active defense budget negotiations. Tuberville has also been notably frequent in filing late: he paid the $200 fine multiple times during his first term. His activity is frequently cited by analysts who track committee-correlated trading as a case study in the pattern.

How third-party trackers surface these patterns

The official portals surface raw filings but don't connect them to trading patterns, committee memberships, or sector correlations. Tools like Capitol Trades, Quiver Quantitative, Unusual Whales' Congress tab, and RadarPulse normalize and enrich the data, making it possible to filter by member, by sector, by committee, or by time period. Each tracker has different ingestion latency, some process new PTRs within hours of appearing on the official portals; others have longer delays. When speed of ingestion matters for your workflow, it's worth knowing which tracker you're using and how fresh its data is.

Committees as the information map

The most analytically useful layer you can add to congressional trading data is committee membership. Congress is organized around committees that have jurisdiction over specific areas of policy. Members of those committees receive briefings, hear testimony, and participate in deliberations that are not public, or are not public yet. Their trading in sectors directly under their committee's jurisdiction is therefore weighted differently from their trading in unrelated sectors.

Senate committee assignments and sector relevance

• Armed Services Committee: jurisdiction over defense appropriations, military programs, and weapons procurement. Relevant sectors: defense contractors (LMT, RTX, NOC, GD, LHX), intelligence technology firms.
• Banking, Housing and Urban Affairs Committee: oversight of financial regulation, the Federal Reserve, housing finance agencies, and the banking sector. Relevant sectors: banks (JPM, BAC, GS), insurance companies, fintech.
• Finance Committee: jurisdiction over tax code, Social Security, Medicare, Medicaid, and health programs administered through CMS. Relevant sectors: healthcare (pharmaceutical companies, managed care, hospital systems), plus general tax-sensitive structures.
• Commerce, Science and Transportation Committee: oversight of telecommunications, transportation, and technology regulation including FTC actions. Relevant sectors: telecom (T, VZ), airlines, shipping, large-cap tech under antitrust review.
• Health, Education, Labor and Pensions (HELP) Committee: jurisdiction over FDA, CDC, drug approval frameworks, and education policy. Relevant sectors: biotechnology (especially companies with pending FDA decisions), pharmaceutical manufacturers.
• Energy and Natural Resources Committee: jurisdiction over oil and gas leasing, pipeline approvals, mining on federal land, national parks, and energy infrastructure. Relevant sectors: oil and gas producers (XOM, CVX), pipelines, utilities, mining.
• Intelligence Committee: classified jurisdiction over intelligence programs, cybersecurity, and national security. Trading by intelligence committee members is particularly opaque because the briefings that might be informative are classified, but the trades are still disclosed.

House committee assignments

The House has parallel committee structures. Key additions include the Financial Services Committee (House equivalent of Senate Banking), the Ways and Means Committee (House equivalent of Senate Finance for tax/healthcare), and the Energy and Commerce Committee (broad jurisdiction over telecom, energy, and healthcare).

How to use committee data in practice

Start with the sector you're researching. Identify which committees have jurisdiction over the primary regulatory or legislative risk for that sector. Pull the roster of committee members. Then filter congressional trading data to show those members' activity in the relevant sector, weighting it more heavily than the same sector trades made by members who sit on unrelated committees. This doesn't prove those trades are informed, but it concentrates your attention on the subset of disclosures where the information overlap is structurally plausible.

The STOCK Act reform debate: what would change and when

Public frustration with congressional trading has repeatedly produced legislative proposals to reform or eliminate it, but none has become law as of mid-2026. Understanding the reform landscape matters for how you interpret the data, because the rules could change.

Proposals on the table

Several bills have been introduced in recent Congresses with varying degrees of bipartisan support:

• Ban Congressional Stock Trading Act: would require members of Congress and their spouses to divest individual stock holdings and place assets in index funds or qualified blind trusts within 90–180 days of enactment. If passed, congressional trading data would become irrelevant as an ongoing signal, because there would be no more individual stock activity to disclose.
• ETHICS Act and related proposals: would shorten the disclosure window from 45 days to same-day or 24-hour reporting, dramatically increasing the timeliness of the data.
• TRUST in Congress Act and similar bills: would raise the fine for late filing from $200 to a percentage of the trade value, creating a meaningful financial deterrent.
• Pension as investment alternative: some proposals would create a government pension structure as the required alternative for members who divest, reducing the complexity of compliance.

What has actually happened

The House passed a version of stock trading restrictions in 2022, but the bill stalled in the Senate before the session ended. Subsequent Congresses have revisited the proposals. As of 2026, no comprehensive reform has been enacted. The core political tension is that the members who would vote on a trading ban are the same members whose financial interests might be affected by it, an obvious conflict that has made meaningful reform difficult despite consistent polling showing broad public support for a ban.

What reform would mean for your workflow

If a same-day disclosure requirement passes, the data becomes much more actionable, the lag problem largely disappears and congressional disclosures would function closer to Form 4 (insider reporting for corporate executives). If an outright ban passes, the data set becomes a historical artifact. The current regime is disclosure without prohibition, and that's the frame in which all the analysis in this article applies.

How to access the raw data

Third-party trackers are easier to use, but knowing the primary sources is important for verification and for accessing filings that haven't yet been processed by any tracker.

Official House portal

The House Financial Disclosures portal at disclosures.house.gov allows you to search by member name and filter by filing type. PTRs are listed as "Periodic Transaction Report." The interface is functional but slow, and new filings appear with a lag after being submitted to the House Clerk. Filings are typically available as PDF documents, in many cases scanned PDFs of paper forms, which means machine readability is inconsistent.

Official Senate portal

The Senate's electronic filing and disclosure system at efts.senate.gov is somewhat more machine-readable: Senate filings are more commonly submitted electronically, and the portal offers XML export for some search results. The interface is similarly clunky but the underlying data quality tends to be slightly better than the House portal.

The normalization problem

Even when filings are submitted electronically, ticker formatting is inconsistent. Members may write "Apple Inc." instead of "AAPL," list options positions in non-standard formats, or include typographic errors. Ranges mean you know the approximate size of a trade but not the exact amount. The gap between "what was filed" and "what a tracker shows" is largely the work of normalization, mapping free-text asset names to standard tickers, standardizing transaction types, and resolving ambiguities in the amount ranges.

When a tracker shows a different ticker or size than you expected, going back to the original PDF is sometimes necessary to understand why. RadarPulse links to source filings in its Congress Trades view for exactly this reason.

Reading the filing: what each field means

When you look at a PTR, whether in the raw PDF or in a normalized tracker view, these are the fields you'll encounter:

Field-by-field breakdown

• Owner. Who made the trade: the member themselves, their spouse, a dependent child, or a jointly-held account. This field matters a lot for interpretation. A "spouse" trade attributed to an independently-managed portfolio is a different data point than a "self" trade the member made directly.
• Asset. The security, usually identified by name and sometimes by ticker. Options are listed as a separate line item, something like "Call Option, [Company Name], [Expiration Date]", and represent a meaningfully different type of position than stock. A member who is disclosing options is taking a more complex and deliberate position than one disclosing a stock purchase.
• Transaction type. Purchase (P), Sale (S), Sale (Partial), meaning they sold part but not all of a holding, or Exchange (E), which covers transfers between funds or similar events. The distinction between S and S (partial) matters: a partial sale might be a rebalancing while a full sale is a complete exit.
• Transaction date. When the trade actually occurred. This is the date that matters for assessing what information might have been available at the time. It is not the same as the filing date.
• Notification date. For managed accounts, this is the date the member was notified that their advisor executed a trade. The STOCK Act's 30-day clock starts here, not at the transaction date, which is why some PTRs appear with a notification date several days after the transaction date.
• Filing date. When the PTR was submitted. Comparing the filing date to the notification date (and the transaction date) tells you whether the member filed on time. Filing date is often what trackers show as the "new" date when a filing appears in their system.
• Amount. A dollar range bracket. The prescribed ranges are: $1,001–$15,000; $15,001–$50,000; $50,001–$100,000; $100,001–$250,000; $250,001–$500,000; $500,001–$1,000,000; $1,000,001–$5,000,000; over $5,000,000. The midpoint of the range is a common approximation but can be misleading at the extremes.
• Capital gains. A separate field for short-term capital gains over $200 that must also be disclosed. Less commonly populated than the main transaction fields.

Reading options positions

When a member discloses an options position, the asset field will typically identify it as a call or put option on a specific underlying, with the expiration date. The amount field applies to the premium paid (for a purchase) or received (for a sale/write). Options disclosures are harder to interpret than stock disclosures because the dollar amount in the filing reflects the premium, not the notional exposure, a $50,001–$100,000 options purchase could represent a notional position many times that size depending on the strike and the underlying's price.

The Pelosi NVDA LEAPS disclosure that became widely discussed in 2021 was structured this way: Paul Pelosi's disclosed purchase of NVDA call options with a long expiration showed the premium range in the PTR, but the total notional exposure of the position was substantially larger once the leverage inherent in options was accounted for. When you see options in a disclosure, the premium amount understates the total position sizing relative to a direct stock purchase of the same disclosed dollar amount.

Practical scenarios: how to use congressional disclosure data

The abstract framework is useful, but concrete scenarios make it actionable. Here are three realistic situations where congressional disclosure data adds value when combined with other research.

Scenario 1: a defense sector cluster

You notice that three members of the Senate Armed Services Committee have filed PTRs showing purchases in Northrop Grumman ($NOC) within the same two-week filing window. The trade dates in the filings suggest the purchases occurred 5–6 weeks ago. Defense spending legislation is currently in committee markup.

What to do: don't buy NOC because three senators bought it 6 weeks ago. Instead, use this as a research prompt. Pull the current defense budget legislation to understand what programs might benefit Northrop specifically. Check whether NOC has already moved significantly since the trade dates. Cross-reference with current options flow in NOC to see whether fresh institutional activity is also present. If all three signal the same direction, you have a research thesis worth developing further, not a signal to act on immediately.

Scenario 2: a biotech with a pending FDA decision

A member of the Senate HELP Committee, which has oversight of the FDA, has filed a PTR showing a large purchase ($250,001–$500,000 bracket) in a mid-cap biotechnology company. The trade date was 40 days ago. The company has a PDUFA date (the FDA's target decision date for a drug application) coming up in three weeks.

What to do: research the specific drug application to understand what decision is pending and what the market currently expects. Check whether the stock has already moved materially since the trade date. Look at options flow in the name, if fresh call activity is present ahead of the PDUFA date, that's two streams of informed positioning to note. If the stock hasn't moved much and fresh flow is present, the combination is worth a deeper dive. If the stock has already moved 30% since the trade date, the lag has likely already erased any actionable edge.

Scenario 3: a broad sector sell-off signal

Multiple members of both the House Financial Services Committee and the Senate Banking Committee have disclosed large sales of regional bank holdings over a 3-week filing window. The trade dates suggest the sales clustered around 45 days ago, before news of any obvious banking sector stress became public.

What to do: map the timing against any banking sector developments that emerged around and after the trade dates. Were there regulatory actions, supervisory concerns, or legislative hearings around that time that might have generated relevant non-public information? Cross-reference current regional banking options flow. Even if the window has passed for the original trade, sector-level behavioral data from informed participants is useful for understanding how the risk environment around that sector was being perceived by those closest to the regulatory machinery.

Combining congressional disclosure with other signals

The central thesis of this article is that congressional disclosure data is most useful as one component of a multi-signal research process, not as a standalone buy or sell signal. Here's what a complete research stack looks like when congressional data is the starting point:

The three-stream confluence

The strongest thesis combines:

1. Congressional disclosure showing accumulation (or distribution) in a sector by members with relevant committee exposure. This is your "informed historical positioning" signal.
2. Unusual options flow in the same name or sector, appearing in the current session. This is your "current sophisticated activity" signal. Unusual flow means activity that deviates materially from the recent baseline in terms of volume, size, or positioning (e.g., large block call purchases at strikes meaningfully above the current price).
3. A known or approaching catalyst, an earnings date, an FDA decision, a contract announcement, a regulatory vote, that could have been partially visible to informed participants in advance and that explains both the historical congressional positioning and the current options activity.

When all three streams point in the same direction, you have a genuine research thesis with independent corroboration. The congressional data alone has too much lag to be actionable without corroboration. The options flow alone could reflect hedging, delta-neutral strategies, or noise. The catalyst alone is public information. The combination, informed historical positioning, fresh current activity, and an approaching event, provides the directional conviction to do serious research.

What to check at each stage

When you've identified a potential confluence, run through this checklist before concluding anything:

• How much has the stock moved since the congressional trade date? If the name has already moved 25% since the disclosed trade, the lag has already extracted much of any available edge.
• Is the committee membership actually relevant to this name? Not all committee members trade in their committee's sectors. Check whether this specific member has a pattern of committee-correlated trades, or whether this looks more like a one-off.
• Is the options flow directional or hedging? Large put purchases could be defensive hedges on existing stock positions rather than directional bets. Context (put-call ratio trends, open interest changes) helps distinguish the two.
• What does the public information already say? If the thesis is entirely explainable by public information (a widely-reported regulatory tailwind, a well-covered earnings beat), the "edge" from the congressional data may be redundant.

Using RadarPulse to scan for confluences efficiently

The Congress Trades tab in RadarPulse surfaces recent PTR filings normalized to tickers, with the current price and chart available immediately alongside the disclosure. The Flow Lens on the same platform shows real-time and recent unusual options activity by ticker, scored by the system's flow model. To scan for confluences, compare the tickers appearing in recent congressional filings against the names showing up in the current flow feed. When the same name appears in both, a disclosed congressional purchase in the past 30–45 days and fresh unusual call flow today, that combination is the starting point for scenario analysis, not a conclusion.

Ask Radar, the platform's AI assistant, can help you pull together context on a specific name once you've identified it as worth investigating: summarizing recent news, checking sector context, and framing the question in plain language so you can decide whether the research thesis holds together before spending more time on it.

Frequently asked questions

Is it legal to track and copy congressional stock trades?

Yes. The disclosures are public records published under the STOCK Act, so reading, analyzing or following them is entirely legal. They're information, not financial advice, and past disclosed trades don't predict future returns.

How far behind is the data?

A Periodic Transaction Report is due within 30 days of the member being notified of a trade and no later than about 45 days after it occurs, so you're typically seeing trades days to weeks after the fact.

Where can I see congressional stock trades for free?

The primary free sources are the official House and Senate financial disclosure portals. RadarPulse also surfaces these disclosures in-app next to live prices and options flow so you can scan them in one place.

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