下載美股和加密貨幣的歷史數據並透過自己的策略去找到強勢標的
The purpose of this project is to download historical data for US stocks and cryptocurrencies, and use different strategies to identify strong performing assets.
pip3 install -r requirements.txt
API keys are needed for Tiingo and Stocksymbol (Not a requirement for Crypto usage)
- Crypto relative strength
Identify strong performing assets by comparing SMA-30, SMA-45 and SMA-60
python3 crypto_relative_strength.py
Set the config.ini file to your own preference.
timeframe = 1h # 3m, 5m, 15m, 30m, 1h, 2h, 4h
total_days = 1 # Calculation duration in days (max: 1440 bars), e.g. 1440 / (24 bars per day in 1h) = 60
history = True # Whether to calculate relative strength for specific past date
start_date = 2024-02-03 # Must set the date if history is True
end_date = 2024-02-07 # Must set the date if history is True
exclude_symbols = LSKUSDT,JUPUSDT,ZETAUSDT,ALTUSDT,RONINUSDT,DYMUSDT
- Change CURRENT_TIMEZONE in the file if timezone is essential to you.
- US stock trend template
Utilize Mark Minervini's trend template to filter out strong performing stocks.
python3 stock_trend_template.py
Both scripts will generate a TXT file that can be imported into TradingView's watchlist.
To import crypto or stock downloader for your own usage, simply include the following line in your Python code:
from src.downloader import StockDownloader
from src.downloader import CryptoDownloader