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@@ -107,6 +107,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [FinRL-Library](https://github.com/AI4Finance-LLC/FinRL-Library) - A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.
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- [bulbea](https://github.com/achillesrasquinha/bulbea) - Deep Learning based Python Library for Stock Market Prediction and Modelling.
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- [ib_nope](https://github.com/ajhpark/ib_nope) - Automated trading system for NOPE strategy over IBKR TWS.
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- [OctoBot](https://github.com/Drakkar-Software/OctoBot) - Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface.
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### Risk Analysis
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https://cran.r-project.org/web/views/Finance.html
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http://www.bloomberglabs.com/api/libraries/
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https://github.com/bpsmith/pybbg
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https://pypi.python.org/pypi?%3Aaction=search&term=finance&submit=search
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https://pypi.python.org/pypi?:action=browse&show=all&c=33
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https://www.quantnet.com/threads/free-open-source-java-library-for-quantitative-finance.3238/
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http://www.jquantlib.org/
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http://www.asymptotix.eu/content/quantitative-libraries-financial-predictive-analytics
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http://www.xweld.com
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http://quantcomponents.com
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https://www.quantnet.com/threads/open-source-financial-software.2605/
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http://quant.stackexchange.com/questions/4181/library-of-basic-indicators
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http://www.quantcode.com
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http://www.cs.utah.edu/~cxiong/
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