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Large Fill Pressure

Organization
Superior-Trade
large-fill-pressure

Use when repeated large fills on a Polymarket prediction market suggest directional participation or informed flow worth trading behind.

Overview

PublisherSuperior-Trade
Repositorysuperior-skills
Skill namelarge-fill-pressure
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 Large Fill Pressure 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/large-fill-pressure
  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/large-fill-pressure .claude/skills/large-fill-pressure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Large Fill Pressure 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 Large Fill Pressure 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 Large Fill Pressure 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 · Large-Fill Pressure

When to use

Use this when the user asks about whales, big fills, unusual size, or "who is moving this market."

What the agent should look for

  • Canonical Polymarket market from GET /context/markets?venue=polymarket.
  • High-quality filled volume history with enough ticks.
  • Fill sizes meaningfully above that market's recent median.
  • Multiple large fills in a short interval with same-direction follow-through.
  • No single fill dominating the backtest window.

Backtest fit with filled data

Good fit for directional-signal detection, weak fit for proving source-side confidence. Filled TradeTick replay can show whether big prints were associated with sustained movement, but it cannot reveal maker intent, hidden liquidity, or queue position.

Treat this as an archetype template that helps generate custom Nautilus strategy code; do not imply it is a proven edge.

Strategy logic

Count large fill clusters over a rolling window. Enter when both size and direction align with the configured cluster threshold. Exit after a fixed window, reversal signal, or price giveback.

Nautilus strategy shape

  • Keep a rolling median of recent fill sizes.
  • Tag a fill as large when size exceeds a multiplier of the median.
  • Track clusters of large fills by direction and time window.
  • Enter after a minimum cluster size and directional confirmation.
  • Exit on fixed holding duration, reverse cluster, or price retrace.

Example strategyConfig

json
{
  "size_window_ticks": 80,
  "large_fill_multiple": 3.0,
  "cluster_ticks": 12,
  "min_cluster_count": 3,
  "order_size": 10,
  "exit_after_ticks": 40
}

Iteration knobs

KnobEffect
large_fill_multipleHigher = only react to more unusual fills.
cluster_ticksLower = require tighter timing between fills.
min_cluster_countHigher = fewer, higher-confidence entries.
exit_after_ticksLower = shorter reaction window.

Failure modes

  1. A one-off large fill may be risk transfer or hedge activity, not directional pressure.
  2. Fill size does not equal resting-likelihood in live execution.
  3. One market can show repeated prints during low liquidity and still revert immediately.
  4. Backtest quality can degrade if fill data coverage is noisy or sparse.

User-facing framing

"This is a filled-trade pressure archetype. It uses exact slugs and TradeTick backtests to shape a custom Nautilus strategy, not to promise profit."

Frequently asked questions

What does the Large Fill Pressure AI skill do?

Use when repeated large fills on a Polymarket prediction market suggest directional participation or informed flow worth trading behind.

Why use Large Fill Pressure on TypingMind?

Because you install it once and use it with any model. Large Fill Pressure 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 Large Fill Pressure in TypingMind?

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

Which AI models can use Large Fill Pressure?

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 Large Fill Pressure?

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

Is the Large Fill Pressure 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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