pandas-ta
py-market-profile
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pandas-ta | py-market-profile | |
---|---|---|
17 | 28 | |
4,708 | 330 | |
- | - | |
0.0 | 3.3 | |
10 days ago | 6 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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pandas-ta
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Help recreating ta-lib python MACDFIX in pure python
I do not know what is the difference between MACD and MACDFIX but maybe you can take a look how MACD is implemented in pandas_ta library and modify it a bit to achive a behavior you want.
- How to detect price action?
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API for indicators
I use https://github.com/twopirllc/pandas-ta found some indicators that are in the pandas_ta but not in the tulip library though tulip also has thing pandas doesn't have.
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Add attribute to Pandas dataframe to create new column
Having a look at ta.rsi it looks like it is calculating the value for rsi and returns it.
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How does Python or Python handle projects that access use multiple repo's
I feel like this is more of a devops issue but its all local, the `local_cron_job` runs at 11pm each night to update `mcvaluations` which then activates 'PandasTA_Strategy_Examples.ipynb' then `VectorBT_Backtest_with_Pandas_TA.ipynb' then 'backorder.py` and finally `strategy`
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Predição de ações na bolsa de valores com Python e Facebook Prophet
Pandas T.A: Biblioteca Pandas para análise técnica.
- Pandas TA?
- GitHub - twopirllc/pandas-ta: Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
- Pandas TA – A Technical Analysis Library in Python 3
- Pandas-TA: Over A Hundred Technical Analysis Indicators For Python
py-market-profile
What are some alternatives?
ta - Technical Analysis Library using Pandas and Numpy
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
jesse - An advanced crypto trading bot written in Python
RSI-divergence-detector - RSI divergence detector finds regular and hidden bullish and bearish divergences
qf-lib - Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
finta - Common financial technical indicators implemented in Pandas.
awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]
node-talib - A technical analysis library for node.js
fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value
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