Election years change the calculus for members of Congress in many ways — and stock trading is no exception. The political cycle creates distinct phases of trading behavior, from the cautious months before an election to the frenetic activity of the lame duck period after. Understanding these patterns is valuable both for holding elected officials accountable and for interpreting the signals embedded in congressional trading data.
The Pre-Election Pullback: When Caution Prevails
In the months leading up to a general election, congressional trading volume typically declines. This pattern is observable in data from the 2016, 2018, 2020, 2022, and 2024 election cycles. The decline usually begins in late summer and deepens through October, with trading reaching its lowest levels in the weeks immediately before Election Day.
The cause is straightforward: political self-preservation. Members who are running for reelection want to minimize the risk that a controversial stock trade becomes a campaign issue. In the age of social media and real-time disclosure tracking tools like CongressFlow, any unusual trade can be flagged, analyzed, and amplified within hours of the filing becoming public. This creates a strong incentive to reduce trading activity during the most politically sensitive period.
The pre-election pullback is more pronounced among members in competitive races than among those in safe districts or states. A member with a 30-point polling lead has less reason to worry about trading headlines than a member in a toss-up race. Similarly, senators who are not up for reelection in a given cycle show less reduction in trading volume than their colleagues who are on the ballot.
Interestingly, the pullback is primarily in visible, individual stock trades. Members may continue to make trades through vehicles that receive less public attention, such as mutual funds, exchange-traded funds, and blind trusts. The STOCK Act's disclosure requirements focus on individual stocks and bonds, meaning that shifts into less visible investment vehicles during election season can serve as a form of strategic opacity.
Portfolio Positioning: Defensive vs. Aggressive Strategies
Beyond simply trading less, members of Congress also shift the character of their trades during election years. The general pattern is a move toward more defensive positioning in the months before an election, followed by more aggressive positioning after the results are known.
Defensive positioning in this context means reducing exposure to volatile sectors and individual stocks, increasing allocations to large-cap blue-chip companies, and in some cases shifting toward bonds and money market funds. The motivation is partly financial — election uncertainty creates market volatility — and partly reputational. Holding a diversified, conservative portfolio is harder to criticize than holding concentrated positions in companies affected by pending legislation.
After the election, the shift toward aggressive positioning can be dramatic. Members who know which party will control each chamber, who will chair key committees, and which legislative priorities will advance have a significant informational advantage in portfolio construction. This is especially true in the period between Election Day and the start of the new Congress in January, when the political landscape is clear but the new Congress has not yet begun legislating.
What Happens After Elections: The Repositioning Wave
The post-election period is one of the most active trading windows in the congressional calendar. After the 2020 election, for example, the shift to a Biden administration with Democratic control of both chambers triggered significant portfolio repositioning. Clean energy stocks saw increased buying as members anticipated the climate provisions that would eventually become the Inflation Reduction Act. Healthcare stocks were repositioned based on expectations about drug pricing legislation and ACA expansion.
After the 2022 midterms, which produced a narrow Republican House majority, the repositioning reflected expectations of legislative gridlock. Members from both parties reduced exposure to sectors that would have benefited from active legislation and increased exposure to sectors that benefit from regulatory stability.
The 2024 election cycle produced some of the most dramatic post-election repositioning in recent history, as members adjusted to the incoming administration's policy priorities across technology regulation, trade policy, energy, and defense. Members with early insight into cabinet appointments and regulatory priorities were particularly well-positioned to make informed portfolio adjustments.
You can track how congressional trading volume and sector allocation shift over time on the CongressFlow trends page.
The Lame Duck Period: Trading With Reduced Accountability
Perhaps the most ethically concerning pattern in election-year trading is what happens during the lame duck period — the weeks between the election and the seating of the new Congress in January. During this window, members who have lost their seats or chosen to retire are still serving in Congress, still have access to classified briefings and committee information, but face dramatically reduced political accountability.
A member who has been defeated in November will not face voters again. A retiring member has already chosen to leave. In both cases, the political incentives that normally constrain trading behavior — fear of negative headlines, concern about primary challenges, desire to maintain a reputation for integrity — are substantially weakened. The result, visible in the data, is often an increase in trading activity by departing members.
The lame duck trading phenomenon is explored in detail in our dedicated article, but the key insight is that election years create a window where the usual constraints on congressional trading are at their weakest. This is one of the strongest arguments for extending trading restrictions beyond a member's active service or requiring a cooling-off period after leaving office.
Historical Data: The 2016-2024 Election Cycles
Looking at election cycles from 2016 through 2024 reveals consistent patterns with some variation based on the specific political circumstances of each cycle.
2016: The unexpected outcome of the presidential election produced dramatic post-election repositioning. Members who had positioned for a Clinton presidency — overweighting healthcare and clean energy — scrambled to adjust. Financial and energy stocks saw significant buying in the weeks after the election as members anticipated deregulation and fossil fuel-friendly policies.
2018: The midterm elections, which produced a Democratic House majority, led to repositioning around expectations of divided government. Healthcare stocks were particularly active as members assessed the implications for ACA repeal efforts. Trading volume during the pre-election period was notably lower than in non-election years, consistent with the general pattern.
2020: The COVID-19 pandemic made 2020 an anomalous year for congressional trading overall, with the pre-election trading pattern disrupted by the extraordinary levels of trading activity throughout the year. However, the post-election repositioning was clearly visible, with clean energy, infrastructure, and healthcare stocks seeing increased activity.
2022: The midterm cycle showed a pronounced pre-election pullback beginning in August and extending through early November. Post-election trading reflected expectations of legislative gridlock under divided government.
2024: The presidential election cycle produced the most significant pre-election trading reduction since tracking began, likely reflecting heightened public awareness of congressional trading issues. Post-election repositioning was extensive across defense, energy, technology, and financial sectors.
What This Means for Tracking Congressional Trades
For investors and accountability researchers who follow congressional trading data, election years require adjusted expectations. The pre-election period is likely to produce fewer actionable signals, as members reduce their trading activity. The post-election period and lame duck window, however, can produce some of the most informative data of the entire cycle, as members position for the new political reality with less concern about immediate political consequences.
The most valuable approach during election years is to focus on trades that buck the general pattern. A member who increases trading activity while their colleagues are pulling back may be acting on information they consider more valuable than the reputational risk. Similarly, lame duck trades by departing members should be examined carefully, as these trades are made under the weakest accountability constraints.
Understanding the election-year trading cycle is also important context for interpreting crisis-period trading patterns, as elections and crises can overlap and produce complex, layered trading behavior that requires careful analysis to untangle.
