ta
pandas-ta
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ta | pandas-ta | |
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10 | 17 | |
3,999 | 4,628 | |
- | - | |
6.9 | 0.0 | |
9 days ago | 12 days ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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ta
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An awesome list about crypto trading bots : find open source crypto trading bots, technical analysis and market data libraries, data providers, APIs, ...
I use https://technical-analysis-library-in-python.readthedocs.io/en/latest/ for my proprietary bot.
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How simple/complex are your successful strategies?
Python with a library that gives you tons of indicators to test (personally, I use this one: https://github.com/bukosabino/ta). Pandas is used but just to set the data, nothing fancy. I don't use Jupyter, I go with the simple IDLE that comes with Python installation but this point doesn't really matter, just go with the most comfortable for you. In the end, this is what I get after a backtest: https://i.ibb.co/pjbZvhv/backtest-sample.png
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Is there a tutorial on how to use the TA-Lib library?
I'm using this one - https://github.com/bukosabino/ta
pandas-ta
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Predição de ações na bolsa de valores com Python e Facebook Prophet
Pandas T.A: Biblioteca Pandas para análise técnica.
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looking for a python lib
I've used pandas-ta. But, there are a handful that should work: https://github.com/botcrypto-io/awesome-crypto-trading-bots#technical-analysis-libraries
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Has anyone built an intraday stock scanner?
There is a good technical analysis library that does a lot of the legwork for you, https://github.com/twopirllc/pandas-ta
What are some alternatives?
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
RSI-divergence-detector - RSI divergence detector finds regular and hidden bullish and bearish divergences
node-talib - A technical analysis library for node.js
finta - Common financial technical indicators implemented in Pandas.
py-market-profile - A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
python-binance - Binance Exchange API python implementation for automated trading
fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
static-frame - Immutable and statically-typeable DataFrames with runtime type and data validation
nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.