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SKILL verified MIT Self-run

Probability Momentum

skill-superior-trade-superior-skills-probability-momentum · by Superior-Trade

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

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Install

$ agentstack add skill-superior-trade-superior-skills-probability-momentum

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Strategy: Polymarket · Probability Momentum

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

  • Exact market slug from POST /v3/markets/search.
  • backtestSupported: 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

| Knob | Effect | |---|---| | lookback_ticks | Larger values reduce noise; smaller values react faster. | | momentum_threshold | Higher values reduce frequency and require stronger momentum. | | order_size | Larger values increase PnL sensitivity and liquidity exposure. | | exit_after_ticks | Shorter values trim quickly; longer values hold trend. | | max_entries | Caps 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."

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.