salexandercapitalogix

salexandercapitalogix's Stars

• fmzquant/strategies

  quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)

  3.9k1.4k

• PacktWorkshops/The-Data-Analysis-Workshop

  A New Interactive Approach to Learning Data Analysis

  Language:Jupyter Notebook6454

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook12.5k4k

• Auquan/Tutorials

  Ipython notebooks for math and finance tutorials

  Language:Jupyter Notebook961561

• kernc/backtesting.py

  :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

  Language:Python5.2k1k

• ranaroussi/qtpylib

  QTPyLib, Pythonic Algorithmic Trading

  Language:Python2.1k508

• thk3421-models/KellyPortfolio

  A tool for combining historical data with user-provided forecasts to produce Kelly optimal portfolio allocations

  Language:Python7517

• BorealisAI/private-data-generation

  A toolbox for differentially private data generation

  Language:Python12430

• JackBrady/Financial-Machine-Learning

  Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado

  Language:Jupyter Notebook11851

• maximer-v/quantum-machine-learning-finance-cases

  Repository to compile real-world gate-based quantum machine learning use cases in the finance sector.

  215

• emoen/Machine-Learning-for-Asset-Managers

  Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

  Language:Python461155

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.3k930

• eortizt/Fracdiff

  Fractional Differentiation as seen in chapter 5 of Advances in Financial Machine Learning (2018) by M. Lopez de Prado. Wiley.

  Language:Jupyter Notebook31

• VinodSangare/gnidart

  148

• piratedeepak/some-investment-books

  58

• Doj-i/NYU_Machine_Learning_in_Finance

  The specialization provides the knowledge and practical skills necessary to develop a strong foundation on core paradigms of machine learning, with a focus on applications of ML to various practical problems in Finance

  Language:Jupyter Notebook115

• 11bblandin/quantfiction

  Notebooks and stuff from quantfiction.com

  Language:Jupyter Notebook3533

• handcraftsman/GeneticAlgorithmsWithPython

  source code from the book Genetic Algorithms with Python by Clinton Sheppard

  Language:Python1.2k443

• rsvp/fecon235

  Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

  Language:Jupyter Notebook1.1k329

• GrovesD2/market_watcher

  A simple script which watches the market for simple buy criteria (a ticker above a certain price), and alerts via discord.

  Language:Python8

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.3k1.7k

• sangamkotalwar/Classification-and-Regression-based-ML-for-Finance

  Hands on guide on using classification based as well as regression based Machine Learning techniques with application in finance and investment

  Language:Jupyter Notebook31

• nikkizhao1202/Trading_Strategy_SP500

  Trading Strategy on S&P500 with different method (Linear Regression, XGBOOST, LSTM, HMM

  Language:Jupyter Notebook103

• WenjieZ/TSCV

  Time Series Cross-Validation -- an extension for scikit-learn

  Language:Python24642

• anirbansaha96/financial-engineering-wqu

  Repository for MScFE, WQU.

  Language:Jupyter Notebook184

• schigrinov/capstone

  WQU capstone project - short term currency trading strategy utilizing machine learning

  Language:Jupyter Notebook96

• NDelventhal/cot_reports

  cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Traders in Financial Futures (TFF) Futures-only and Traders in Financial Futures (TFF) Futures-and-Options Combined.

  Language:Python10629

• AdhamAlHarazi/StockMarketAlgos

  Language:C#239

• Nikhil-Adithyan/Algorithmic-Trading-with-Python

  A library of quantiative algorithms for algorithmic trading implemented with Python

  Language:Python2921

• sofienkaabar/mastering-financial-pattern-recognition

  The Official Repository of Mastering Financial Pattern Recognition

  Language:Python11762