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– Done Stock Asset Optimization of a Portfolio of 5 and more stocks – Calculated mean, variance, skewness, and kurtosis for each stock. – Tech Stack - pandas, numpy, matplotlib. yfinance, yahoofinancials.
Implementation of Algorthmic Prediction of Candle Patterns
Deep Learning - Neural network (RNN, LSTM & GRU)
Time series ase studies are one of the most challenging problems in finncial engineering forecast since it adds complexity of a sequence dependence among the input variables. Time series problems could be solved using traditional methods as well as deep learning algorithms. Time series problems are peculiar problems unlike regression analysis and s
BB MACD uses built-in moving averages and standard deviation indicators to create Bollinger Bands on MACD MetaTrader indicator.
Trading Strategy using Bollinger Bands to identify Bullish & Bearish Signal. (Backtested via Yahoo finance).
The Hidden Risks of Overfitting in Trading Strategies: A Monte Carlo Perspective
Experimental research around Binance API and FTX API (mainly Python)
Algorithmic trading with deep learning experiments
Materials for my lectures and for self-study in machine learning
Stock Screener for Ichimoku Cloud
A short intro of TA-Lib.
Financial Markets Data Visualization using Matplotlib
A Python library for evaluating option trading strategies.
Applying machine learning to financial markets
Using a dataset of hedge fund indices, I had computed various risk parameters, explicitly Value at risk (VaR), drawdown and deviation from normality with Python. Using different models, I had computed non-parametric VaR, Parametric Gaussian Model VaR and Cornish-Fisher VaR, as well as plotted the VaR of all hedge fund indices.
R package- Quality Control Charts for Time Series Data
An AI Bot that can help you in doing stock investment by analyzing all the real time as well as historic stock information with the help of LLM
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
Stock market forecasting using the ARIMA model.
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
This repository contains implementation of "ADX", "Ichimoku" and "RSI" technical indicators using "Backtrader". And one new technical indicator is designed using the before-mentioned three indicators named as "BIRA".
Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.