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sahandsydney's Projects

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Cloud-based access to high-quality order-by-order historical market data from Eurex and Xetra

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A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

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Our project extends the classical models such as Vasicek and CIR to incorporate the effects of jump-risks in the market. We explore modern methods to price and calibrate such models and evaluate their pricing performance with respect to classical models and the observed market prices.

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Resources for the AI in Finance Workshop at Texas State University (October 2023).

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Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

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Performance analysis of predictive (alpha) stock factors

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A financial investment terminal and library

alphatrade icon alphatrade

JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading

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An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

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The Valuation of Convertible Bonds with Credit Risk (for Honours in Advanced Mathematics of Finance research project, at the University of the Witwatersrand)

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Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.

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AtsPy: Automated Time Series Models in Python (by @firmai)

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Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

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