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Achievement: Pull Shark

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  1. Kalman-filter-strategy Kalman-filter-strategy Public

    Using the Mean-reversion strategy employing Kalman Filter code a strategy to trade Henry Hub Natural Gas Spot Price and West Texas Intermediate (WTI) Crude Oil Price

    Jupyter Notebook 2

  2. DRL-in-QWIM DRL-in-QWIM Public

    Deep Reinforcement Learning in Quantitative Wealth and Investment Management

    Jupyter Notebook 1

  3. News-Analytics-and-ML News-Analytics-and-ML Public

    Quantitative Equity Trading Signal Based on Financial News Headlines Sentiment Classification

    Jupyter Notebook 1

  4. Financial_Computing Financial_Computing Public

    Evaluate the impact of quarterly earnings report on stock price movement

    C++

  5. Machine_Learning Machine_Learning Public

    Applied algorithms on 10-year trading dataof Google stock to design trading strategies and make predictions based on the model built.

    Jupyter Notebook

  6. FRE7831_MarketData_JSON FRE7831_MarketData_JSON Public

    Forked from jsdfsdf/FRE7831_MarketData_JSON

    Design, populate, and query a sqlite3 database for pairs trading.

    C