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ussyorktowncv10's Projects

crypto-arbitrage-framework icon crypto-arbitrage-framework

A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.

darts icon darts

A python library for user-friendly forecasting and anomaly detection on time series.

deeplob-deep-convolutional-neural-networks-for-limit-order-books icon deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

pgportfolio icon pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

tabl icon tabl

Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis

tensortrade icon tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

trading-rl icon trading-rl

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

xgboost_stock_prediction icon xgboost_stock_prediction

XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project attempts to predict stock price direction by using the stock's daily data and indicators derived from its daily data as predictors. As such this is a classification problem.

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