Strategy: Polymarket · Probability Momentum

SkillDev tools

Use when a Polymarket outcome price and filled volume are accelerating in the same direction.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Strategy: Polymarket · Probability Momentum skill

What this skill tells your AI

The instructions your AI receives, as published by superior-trade/superior-skills in skills/probability-momentum/SKILL.md and read by ahel’s review.

When to use

Use this when someone asks for momentum, trend following, breakout, follow-the-crowd behavior, fast-moving crypto milestones, or rapid probability acceleration.

What the agent should look for

  • Canonical Polymarket market from GET /context/markets?venue=polymarket.
  • backtest_ready: true.
  • Sufficient filled-trade history for the requested lookback window.
  • Rising probability on last-trade filled ticks.
  • Elevated fill counts or larger notional during the move.
  • Market not too close to resolution unless user explicitly accepts expiry risk.

Backtest fit with filled data

Good fit for this archetype. Filled TradeTick history can validate whether momentum would have produced fill-driven entries, exits, and directional exposure.

Limit: filled-trade backtests do not prove maker queue position, maker rebates, or order-book depth. Treat this as taker-style behavior evidence, not certainty.

Strategy logic

Enter YES when recent probability rises more than a threshold over lookback_ticks. Exit when exit_after_ticks is reached, or when momentum stalls if an exit condition is included.

Nautilus strategy shape

  • subscribe_trade_ticks(instrument_id) to stream TradeTicks.
  • Use on_trade_tick as the main event handler.
  • Submit market or conservative IOC orders.
  • Track open position and fill state in on_order_filled.

Example strategyConfig

{
  "lookback_ticks": 5,
  "momentum_threshold": 0.02,
  "order_size": 10,
  "exit_after_ticks": 25,
  "max_entries": 3
}

Iteration knobs

KnobEffect
lookback_ticksLarger values reduce noise; smaller values react faster.
momentum_thresholdHigher values reduce frequency and require stronger momentum.
order_sizeLarger values increase PnL sensitivity and liquidity exposure.
exit_after_ticksShorter values trim quickly; longer values hold trend.
max_entriesCaps repeated entries in choppy markets.

Failure modes

  1. One large fill can produce a false momentum signal.
  2. Thin trades can overstate available liquidity.
  3. Late-resolution markets can reverse from mark-to-market gains to a 0/1 close.
  4. Stale fills can make momentum look cleaner than it was live.

User-facing framing

"This is a probability momentum strategy: it buys when fills and last-trade probability move together in one direction. It is backtestable with filled TradeTicks, but it does not confirm maker queue priority or spread capture."

Signals

GitHub stars
211
Forks
9
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
probability-momentum
Source
github.com/superior-trade/superior-skills