pandas-ta
tuneta
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pandas-ta | tuneta | |
---|---|---|
17 | 12 | |
4,732 | 374 | |
- | - | |
0.0 | 4.6 | |
14 days ago | 6 months ago | |
Python | Python | |
MIT License | MIT License |
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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
tuneta
- tuneta: NEW Other Models - star count:203.0
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Optuna: An open source hyperparameter optimization framework to automate hyperparameter search
Optuna is a great library and I do use it in tuneta for optimizing technical indicator parameters. However, certain Optuna algos suggest the same parameters in separate trials resulting in many duplicate parameters (issue) which needs to be managed external of the lib.
- tuneta: NEW Other Models - star count:130.0
What are some alternatives?
ta - Technical Analysis Library using Pandas and Numpy
TradingView-Machine-Learning-GUI - Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
tiingo-python - Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)
RSI-divergence-detector - RSI divergence detector finds regular and hidden bullish and bearish divergences
easyopt - zero-code hyperparameters optimization framework
finta - Common financial technical indicators implemented in Pandas.
LiuAlgoTrader - Framework for algorithmic trading
node-talib - A technical analysis library for node.js
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
py-market-profile - A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
tradezero-api - A package for executing orders and retrieving data through the TradeZero web platform