https://github.com/jondoescoding/kryptt
A trading assistant agent. Powered by Langchain π¦.
https://github.com/jondoescoding/kryptt
groq langchain langchain-agent langchain-python openai
Last synced: 2 months ago
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A trading assistant agent. Powered by Langchain π¦.
- Host: GitHub
- URL: https://github.com/jondoescoding/kryptt
- Owner: jondoescoding
- License: bsd-2-clause
- Created: 2024-07-11T12:01:20.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-21T22:49:46.000Z (over 1 year ago)
- Last Synced: 2025-03-23T18:27:01.061Z (over 1 year ago)
- Topics: groq, langchain, langchain-agent, langchain-python, openai
- Language: TypeScript
- Homepage: https://trykryptt.vercel.app/
- Size: 1.65 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Kryptt ππΈ
_Democratizing global trading for Jamaican investors through AI-powered automation_
## Problem Statement π‘
Jamaican residents face:
- π« Limited access to intuitive global trading platforms
- π Overwhelming manual interfaces for casual investors
- π―π² Lack of local banking integration for international markets
## Key Features π
- **Alpaca Integration** π: SEC-licensed trading with Jamaican KYC compliance
- **Natural Language Trading** π€: "Buy $50 AAPL" commands
- **Supabase Authentication** π: Secure user management with JWT sessions
- **Donation System** β€οΈ: Paddle integration for platform support (coming soon)
# Quick Start π οΈ
## Install dependencies
```powershell
pip install -r requirements.txt
```
## Configure trading environment
```powershell
cp .env.example .env
```
## Starting the backend server
```python-repl
uvicorn app.main:app --reload --port 8000
```
## Starting the frontend
```typescript
npm install
npm run dev
```
## Core Tech Stack βοΈ
`Alpaca API` Β· `Supabase` Β· `LLM Models` Β· `LangGraph` Β· `FastAPI`
## Roadmap πΊοΈ
- [X] JMD-denominated portfolio view
- [ ] Recurring orders ("Buy every Monday")
- [ ] Trading based on monetary events (e.g. "Buy $50 ETHUSD when it hits $150")
- [ ] Trading based on social media (e.g. "Buy $50 DOGEUSD when ELON tweets")
- [ ] Trading based on technical analysis (e.g. "Buy $50 $BTCUSD if the RSI is below 30")
_Licensed under [GPLv3](LICENSE)_ β’ [Report Issue](https://github.com/jondoescoding/crypt/issues)