https://github.com/sl-mar/quantcoder-legacy
The legacy version of QuantCoder, containing core workflows for transforming finance research into trading strategies and generating code for QuantConnect. Code is no longer maintained.
https://github.com/sl-mar/quantcoder-legacy
llm openai pair-programming quantconnect trading trading-algorithms trading-strategies
Last synced: 5 months ago
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The legacy version of QuantCoder, containing core workflows for transforming finance research into trading strategies and generating code for QuantConnect. Code is no longer maintained.
- Host: GitHub
- URL: https://github.com/sl-mar/quantcoder-legacy
- Owner: SL-Mar
- License: mit
- Created: 2024-10-01T11:56:38.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-01T15:55:38.000Z (10 months ago)
- Last Synced: 2025-06-17T12:42:06.233Z (7 months ago)
- Topics: llm, openai, pair-programming, quantconnect, trading, trading-algorithms, trading-strategies
- Language: Python
- Homepage:
- Size: 4.15 MB
- Stars: 70
- Watchers: 2
- Forks: 19
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# QuantCoder (Legacy CLI Version)
> ⚠️ This is the original CLI-only version of QuantCoder, preserved in the `quantcoder-legacy` branch.
QuantCoder is a command-line tool that allows users to generate QuantConnect trading algorithms from research articles using natural language processing and large language models (LLMs). It was initiated in November 2023 and based on a cognitive architecture inspired by the article ["Dual Agent Chatbots and Expert Systems Design"](https://towardsdev.com/dual-agent-chatbots-and-expert-systems-design-25e2cba434e9)
The initial version successfully coded a blended momentum and mean-reversion strategy as described in ["Outperforming the Market (1000% in 10 years)"](https://medium.com/coinmonks/how-to-outperform-the-market-fe151b944c77?sk=7066045abe12d5cf88c7edc80ec2679c), which received over 10,000 impressions on LinkedIn.
---
## 🚀 First-Time Installation
> ✅ Requires **Python 3.8 or later**
### 🛠 Setup Instructions
```bash
# Clone the repository and switch to the legacy branch
git clone https://github.com/SL-Mar/QuantCoder.git
cd QuantCoder
git checkout quantcoder-legacy
# Create and activate a virtual environment
python -m venv .venv-legacy
# On Windows:
.\.venv-legacy\Scripts\activate
# On macOS/Linux:
source .venv-legacy/bin/activate
# Install dependencies and the CLI
pip install -e .
python -m spacy download en_core_web_sm
pip install openai==0.28
```
You may also freeze dependencies:
```bash
pip freeze > requirements-legacy.txt
```
---
🧠 LLM Configuration
By default, this project uses the OpenAI gpt-4o-2024-11-20 model for generating trading code from research articles.
## 💡 Usage
To launch the CLI tool in interactive mode:
```bash
python -m quantcli.cli interactive
```
Or if `quantcli` is recognized as a command:
```bash
quantcli interactive
```
---
## ⚠️ OpenAI SDK Compatibility
This legacy version uses the **OpenAI SDK v0.28**. Newer versions (`>=1.0.0`) are **not supported**.
If you encounter this error:
```
You tried to access openai.ChatCompletion, but this is no longer supported...
```
Fix it by running:
```bash
pip install openai==0.28
```
---
## 📁 Articles and Strategies
The folder 'Strategies and publications' contains articles and trading strategies generated using this CLI tool. These strategies may have been manually refined or enhanced using LLM-based methods. Use them at your own discretion — conduct thorough research and validate before live use.
---
## 📜 License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.