SimpleFunctions
/ctx-electionsContext Package0 (context injection)

Context package — US election mechanics, polling interpretation, Electoral College, primary/general dynamics

Author

simplefunctions 1.0.0

Category

Context Package

Tools Used

scan_markets
#context#us-politics#elections#polling#electoral-college#midterms

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 individually
  • Electoral 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 harder
  • Systematic 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 growing
  • PM 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 dynamics
  • Campaign 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 boost
  • Trading 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.
  • Use this skill

    npm i -g @spfunctions/cli && sf agent
    > /ctx-elections