BastianF / Hourly-historical-Google-Trends-Data
This Jupyter Notebook shows how to obtain hourly long term Google Trends data with proper scaling.
☆16Updated 5 years ago
Alternatives and similar repositories for Hourly-historical-Google-Trends-Data:
Users that are interested in Hourly-historical-Google-Trends-Data are comparing it to the libraries listed below
- Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using just the FOMC - the US Fed…☆18Updated 5 years ago
- Event Study package is an open-source python project created to facilitate the computation of financial event study analysis.☆64Updated last year
- Tool that fetches company data, statistics, and financials for valuation and analysis, and then performs automated valuation analysis.☆23Updated 4 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆46Updated 4 years ago
- Implementation of a variety of Value-at-Risk backtests☆36Updated 5 years ago
- Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject☆13Updated 6 years ago
- ☆18Updated 3 years ago
- Hidden Markov Model (HMM) based stock forecasting☆100Updated 7 years ago
- Stock Prediction using machine learning☆59Updated 7 years ago
- Filters stocks using Magic Formula, F-score and 6-month index which enables users to find the most undervalued stocks based on financial…☆16Updated 3 years ago
- Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls tr…☆15Updated 4 years ago
- Kelly Criterion calculation☆96Updated 2 years ago
- ☆125Updated 6 years ago
- a Python tool for downloading sharadar data from Quandl.☆10Updated 2 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆22Updated 4 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics…☆117Updated 4 years ago
- This repository provides the implementation of a handful of forecasting methods in yield curve modelling.☆24Updated 4 years ago
- Research and Backtests I have been working on...enjoy☆70Updated 4 years ago
- Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"☆31Updated 2 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆31Updated 6 years ago
- Semi-automated investing strategy (risk parity)☆27Updated 8 years ago
- Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=1…☆25Updated 2 months ago
- Cointegration Test in python☆28Updated 6 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆13Updated 3 years ago
- Contains the code for my financial machine learning articles☆50Updated 4 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- An attempt to predict stock market volatility, return and trading volume of tech stocks using Semantic Vectors and Google Trends, which r…☆12Updated 7 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- Repository for Python SP 500 blog post☆74Updated last year