dantegpt / trend-buddy

Crypto trading bot

Trend Buddy

An OpenSource Trading bot

References

• https://github.com/binance/binance-spot-api-docs
• https://binance-docs.github.io/apidocs/spot/en/
• https://github.com/binance/binance-spot-api-docs/blob/master/web-socket-streams.md

Features

Data

• Makes api calls to binance and fetches realtime data
• Stores data in sqlite3 database
• Provides endpoints to access the data from db

Remaining

• Automate fetching and storing in db, or use websocket somehow
• Use asyncio

Analysis

• Get data from data app according to user's selection
• Show candlestick chart from TradingView widget
• Select favourite symbols from all available symbols
• Use TA-Lib for technical analysis

Remaining

• Generate latest strategies' value (eg. rsi, macd, etc.) and show it in same table

Bot

• Take data from binance websocket
• Automate using RQ-Worker
• Take strategies and from analysis app and generate buy or sell calls

Remaining

• Add order history in db

TODO

• Generate Technical page like TradingView technical page

Idea

• Use trading view to send buy and sell calls
• Partial buy and sell
• Predict stoploss
• Use multiple indicators and give them priority or waitage
• Macro analysis for specific sectors like IT, electronics, pharma, consumer, bank, etc

Import orders

• Import csv files which are exported from brokers like Zerodha to populate the orders table

Profit and Loss Chart

• Portfolio for showing overall Profit and Loss
• Daily candlestick chart for profit and loss

Financial Calculator

• Sip calculator, select index or equity, select time duration, select amount per month, select amount growth % per month, calculate the final return compared to the total amount invested
• Cycle through daily, weekly, monthly candle data and check for candlestick patterns

Tools Used

Data fetching

• yfinance
• Alpha Vantage (TODO)

Chart and Data Visualization

• Lightweight Charts

Backtesting

• VectorBT

Installation

Install TA-Lib

• Using conda

conda install -c conda-forge ta-lib

• See this if not using conda

Python dependencies

pip install -r requirements.txt