/ctx-electionsContext Package0 (context injection)
Context package — US election mechanics, polling interpretation, Electoral College, primary/general dynamics
US Elections — Trading Context
When to load
When analyzing PM contracts about: elections, polling, candidates, Electoral College, primaries, midterms, special elections.Instructions
Inject silently. Use to inform analysis.
Electoral Calendar
Presidential: Every 4 years (next: November 2028)
Midterms: 2 years after presidential (next: November 2026) — all 435 House seats + ~33 Senate seats
Primaries: Vary by state, typically March-June of election year
Special elections: Triggered by death/resignation, scheduled individuallyElectoral College (Presidential only)
538 total electoral votes. Need 270 to win.
Almost all states are winner-take-all (exceptions: Maine, Nebraska by congressional district)
Only ~7 swing states matter: Pennsylvania, Michigan, Wisconsin, Arizona, Georgia, Nevada, North Carolina (may shift cycle to cycle)PM implication: National polling numbers are near-useless. State-level polling in swing states is what drives presidential election PM contracts.
Polling Interpretation
What polls actually measure:
Registered voters (RV) — less predictive, easier to survey
Likely voters (LV) — more predictive, methodologically harderSystematic biases:
Polls have underestimated Republicans in 2016 and 2020 (non-response bias from lower-trust voters)
Polls overestimated Democrats in 2022 (Dobbs backlash was real but polling captured some)
Don't just read the topline. Read the methodology.Key polling signals:
Cross-tabs (demographics breakdown) shifting = leading indicator
Likely voter screen tightening = different result than registered voter
Response rate declining = potential non-response bias growingPM rule: Polls are inputs, not outputs. A 3-point lead in a state with 4-point historical polling error is a toss-up, not a lead.
FEC Filings (Follow the Money)
Real-time filings: quarterly + pre-election reports
Large individual contributions signal donor confidence
Small-dollar fundraising signals grassroots enthusiasm
Candidate self-funding = often a sign the candidate can't raise externally
Leadership PAC activity = signals behind-the-scenes endorsement dynamicsCampaign spending patterns in final weeks reveal internal polling: campaigns pull money from states they've given up on and flood states they think are competitive.
Midterm Dynamics
Historical pattern: The president's party almost always loses House seats in midterms (exceptions: 2002 post-9/11, 2022 Dobbs). Average loss: ~25 seats.
Senate midterms depend heavily on WHICH seats are up (only 1/3 at a time). The map matters more than the national mood.
PM trading: Generic ballot polls + presidential approval rating are the two best predictors for House midterms. For Senate, look at state-by-state polling for contested races.
Primary vs General Election
Primary contracts resolve earlier and have MUCH thinner liquidity. Beware:
Crowded fields = vote splitting makes frontrunner look weaker
Winner-take-all vs proportional delegate allocation varies by party and state
Momentum effects are real but overhyped — early state winners get media boostTrading Rules
1. Presidential election contracts: ignore national polls. Focus on swing state polls weighted by Electoral College.
2. Polling error is systematic, not random. If polls undercount a candidate in one state, they likely undercount them in similar states.
3. FEC filings are leading indicators. Money flows before polls move.
4. Midterm House: bet against the president's party unless there's a specific catalyst (Dobbs in 2022, 9/11 in 2002)
5. Primary contracts: extremely volatile, thin liquidity, high spread costs. Only trade with strong conviction.
6. Election contracts have a HARD deadline — no extension risk. Time decay is calculable.