ManifoldBot
A Python package for creating intelligent trading bots for Manifold Markets.
Quick Start
1. Installation
pip install manifoldbot
2. Set API Keys
export MANIFOLD_API_KEY="your_manifold_api_key"
export OPENAI_API_KEY="your_openai_key"
(or place these in .env)
3. Run the LLM Trading Bot
Trade all markets with AI:
python -m manifoldbot.examples.bot.llm_trading_bot --all
Or trade recent markets only:
python -m manifoldbot.examples.bot.llm_trading_bot
What It Does
The LLM trading bot:
- Analyzes market questions using GPT
- Compares AI probability vs current market probability
- Places bets when there's a significant difference (≥5%)
- Only bets when confidence is high (≥60%)
Is it quicker to use this package or just vibe from the start?
I can't honestly say but this package does take care of things like careful iterative market-impact adjusted fractional Kelly betting and so forth.
More Examples
See manifoldbot/examples/ for additional examples:
manifold/basic_reader.py- Read market data (no API key needed)manifold/basic_writer.py- Place bets manuallybot/ai_optimist_trading_bot.py- Simple rule-based bot that thinks people underestimate AI, generally
Documentation
License
MIT License - see LICENSE file for details.
Metadata
Release files for manifoldbot 0.2.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| manifoldbot-0.2.9.tar.gz | 52.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| manifoldbot-0.2.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 115.3 kB
Release files / manifoldbot-0.2.9.tar.gz
| Download URL | manifoldbot-0.2.9.tar.gz |
|---|---|
| Size | 52.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / manifoldbot-0.2.9-py3-none-any.whl
| Download URL | manifoldbot-0.2.9-py3-none-any.whl |
|---|---|
| Size | 63.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
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