Probability Momentum logo

Probability Momentum

Organization
Superior-Trade
probability-momentum

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

Overview

PublisherSuperior-Trade
Repositorysuperior-skills
Skill nameprobability-momentum
Stars
215
Forks
9
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Superior-Trade on GitHub. Read the source before you install it.

Installation

Install the Probability Momentum AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Superior-Trade/superior-skills/tree/main/skills/probability-momentum
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git /tmp/superior-skills
mkdir -p .claude/skills
cp -r /tmp/superior-skills/skills/probability-momentum .claude/skills/probability-momentum
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Probability Momentum in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Probability Momentum on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Probability Momentum is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

  • 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

json
{
  "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."

Frequently asked questions

What does the Probability Momentum AI skill do?

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

Why use Probability Momentum on TypingMind?

Because you install it once and use it with any model. Probability Momentum is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Probability Momentum in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Superior-Trade/superior-skills/tree/main/skills/probability-momentum. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Probability Momentum?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Probability Momentum?

As many as you like. As long as a model supports skills, you can use Probability Momentum with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Probability Momentum AI skill free?

Yes. It is published on GitHub by Superior-Trade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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