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@@ -44,6 +44,10 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [hasura/base-python-bokeh](https://platform.hasura.io/hub/projects/hasura/base-python-bokeh) - Hasura quickstart to visualize data with bokeh library.
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- [pysabr](https://github.com/ynouri/pysabr) - SABR model Python implementation.
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### Indicators
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- [pandas_talib](https://github.com/femtotrader/pandas_talib) - A Python Pandas implementation of technical analysis indicators.
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- [Tulipy](https://github.com/cirla/tulipy) - Financial Technical Analysis Indicator Library (Python bindings for [tulipindicators]( https://github.com/TulipCharts/tulipindicators))
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### Trading & Backtesting
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- [TA-Lib](https://ta-lib.org) - perform technical analysis of financial market data.
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@@ -58,7 +62,6 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [pybacktest](https://github.com/ematvey/pybacktest) - Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier.
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- [pyalgotrade](https://github.com/gbeced/pyalgotrade) - Python Algorithmic Trading Library.
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- [tradingWithPython](https://pypi.org/project/tradingWithPython/) - A collection of functions and classes for Quantitative trading.
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- [pandas_talib](https://github.com/femtotrader/pandas_talib) - A Python Pandas implementation of technical analysis indicators.
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- [algobroker](https://github.com/joequant/algobroker) - This is an execution engine for algo trading.
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- [pysentosa](https://pypi.org/project/pysentosa/) - Python API for sentosa trading system.
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- [finmarketpy](https://github.com/cuemacro/finmarketpy) - Python library for backtesting trading strategies and analyzing financial markets.
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