KidQuant / Analyzing-News-Articles-With-PythonLinks
We Analyze the polarity, sentiment, meta-cognition, bias, and many other things.
☆26Updated 5 years ago
Alternatives and similar repositories for Analyzing-News-Articles-With-Python
Users that are interested in Analyzing-News-Articles-With-Python are comparing it to the libraries listed below
Sorting:
- Quantitative finance research notebooks☆26Updated 6 years ago
- This collects the scripts and notebooks required to reproduce my published work.☆48Updated this week
- Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine…☆48Updated 10 months ago
- Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strat…☆70Updated this week
- ☆52Updated 2 years ago
- A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.☆58Updated 2 years ago
- Quantamental finance research with python☆154Updated 3 years ago
- Python library for asset pricing☆127Updated last year
- Resources for the AI in Finance Workshop at Texas State University (October 2023).☆53Updated 2 years ago
- Python 3 source code for the implementation of the directional change analysis of financial time series data☆35Updated 2 years ago
- Macrosynergy Quant Research☆166Updated last week
- Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, s…☆64Updated 10 months ago
- Algorithmic Portfolio Hedging. Black-Scholes Pricing for Dynamic Hedges to produce a Dynamic multi-asset Portfolio Hedging with the usage…☆57Updated 4 years ago
- Python Financial ENGineering (PyFENG package in PyPI.org)☆176Updated last week
- ☆65Updated 2 years ago
- Code that I show on my YouTube Channel☆104Updated 2 years ago
- A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and…☆26Updated 4 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆49Updated 4 years ago
- MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning bas…☆55Updated 2 years ago
- Rewriting the code in "Machine Learning for Factor Investing" in Python☆94Updated 4 years ago
- KAIST(Korea Advanced Institute of Science and Technology) Financial Engineering( Derivatives) Course Code+@☆27Updated 3 years ago
- Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natu…☆54Updated 10 months ago
- Montecarlo simulations/analysis for finance (equity simulator)☆50Updated 2 years ago
- Teaching Resources for Cuemacro courses☆55Updated 9 months ago
- Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics…☆124Updated 4 years ago
- Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices☆123Updated 3 months ago
- Implementation of the Nelson-Siegel-Svensson interest rate curve model.☆123Updated 2 years ago
- PyCurve : Python Yield Curve is a package created in order to interpolate yield curve, create parameterized curve and create stochastic s…☆52Updated 4 years ago
- Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fouri…☆88Updated 4 years ago
- Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeli…☆174Updated last year