🏦 TradingBot_ST

A Work-in-Progress AI-Powered Trading Bot that integrates Python for backend processing. The bot interacts with the LUNO API and can be extended with LLM models for advanced trading strategies.

./start.sh

📌 Project Setup

Update requirements.txt

pip freeze > requirements.txt

Generate Project Directory Structure

tree -a -I 'node_modules|objects|build|venv|pycache|venvtest|junk|.git' > directory_structure.txt

📌 Backend Setup 🖥️

⚙️ Backend is a Work-in-Progress (WIP)

Setting Up Python in Backend

Run the following commands to set up the Python environment inside the backend folder:
cd backend
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Possible Issue:
If you encounter the following error:
error: externally-managed-environment
× This environment is externally managed

Run the following fix:
pip install --break-system-packages -r requirements.txt
This will bypass the restriction and allow package installation.

Starting the Backend

cd ~/projects/tradingbot/backend
source venv/bin/activate
python3 main.py

📌 Running the Standalone Bot

cd ~/projects/tradingbot
python3 run_standalone.py
cd ~/projects/tradingbot
python3 run.py

📌 LLM Integration 🤖

The bot can integrate with Ollama LLM models to assist with decision-making.

Set Up Ollama API

export OLLAMA_API_BASE=http://127.0.0.1:11434

Running Aider with Llama Models

aider --model ollama/llama3.1
aider --model ollama/codellama --edit-format whole
aider --model ollama/llama3.1 --edit-format whole

📌 LUNO API Configuration 🔑

⚠️ Ensure API keys are stored securely. Do NOT hardcode them in the project. Use .env file instead.

Example .env File

📌 Notes & Additional Commands

Activate Virtual Environment

source ~/projects/tradingbot/backend/venv/bin/activate

Start Backend

cd ~/projects/tradingbot/backend
python3 main.py

📌 Next Steps 🚀

• Complete Backend API
• Enhance Trading Strategies
• Implement Logging & Monitoring
• Deploy for Automated Trading

DB

sudo apt install sqlite3

📌 About

This project is an AI-powered trading bot designed to execute LUNO API trades automatically. It leverages LLMs for smarter decision-making and aims to be fully autonomous in future iterations.

tree -I 'node_modules|.git|dist|build|.next|.cache|logs' -L 4

Rate Limiting APIs are rate limited to 300 calls per minute. Calls made in excess of this limit will receive a HTTP error Code 429 response.

The streaming API is limited to 50 sessions open simultaneously. Calls in excess of this limit will receive a session limit exceeded message.

Security Always use HTTPS when calling the API. Non-TLS HTTP requests cause error 403 to be returned. Using non-TLS requests can leak your authentication credentials.

Verify that your client validates the server's SSL certificate. Many libraries (e.g. urllib2 in Python2) do not validate server certificates by default. Failing to verify the server certificate makes your application vulnerable to man-in-the-middle attack.

Minimum withdrawal amount When you’re withdrawing funds from your local currency wallet, here’s the minimum withdrawal amount for your country:

COUNTRY MINIMUM WITHDRAWAL AMOUNT

South Africa R10

adding folders autogen langchain crewai

agent frameworks , each folder will have its own evn named venev

📌 Autogen

python3 -m venv venv

cd backendAI/autogen source venv/bin/activate

pip install -U autogenstudio pip install "autogen-core"

📌 Langchain

python3 -m venv venv

cd backendAI/langchain source venv/bin/activate

pip install langchain

📌 CrewAI

python3 -m venv venv

cd backendAI/crewai source venv/bin/activate

this fucking CrewAI want / must use UV to install