ameen-sudo Goto Github PK

-stock-asset-optimization-project-

– 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.

adx_trading_strategy

algorithmic-market-prediction

Implementation of Algorthmic Prediction of Candle Patterns

algorithmictrading-machinelearning

Deep Learning - Neural network (RNN, LSTM & GRU)

analyzing-the-stock-prices-using-deep-learning-algorithms

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

BB MACD uses built-in moving averages and standard deviation indicators to create Bollinger Bands on MACD MetaTrader indicator.

bollinger-bands

Trading Strategy using Bollinger Bands to identify Bullish & Bearish Signal. (Backtested via Yahoo finance).

continuous-computational-simulation

The Hidden Risks of Overfitting in Trading Strategies: A Monte Carlo Perspective

cpp-code-leetcode-solution-by-ishxnt

cryptoforex-trader-framework

Experimental research around Binance API and FTX API (mainly Python)

deep-trading

Algorithmic trading with deep learning experiments

education-machine-learning

Materials for my lectures and for self-study in machine learning

heikenashibot

hello-world

ichimoku_screener

Stock Screener for Ichimoku Cloud

introtechnicalanalysis

A short intro of TA-Lib.

kalman_filtering_finance

machinelearning_for_trading

mplfinance

Financial Markets Data Visualization using Matplotlib

optionlab

A Python library for evaluating option trading strategies.

pairs-trading-using-ml-python-

Applying machine learning to financial markets

portfolio-risk-analysis-with-python

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.

quality-control-charts-for-time-series-data

R package- Quality Control Charts for Time Series Data

stock-analyzer-bot

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

stock-market-forecasting

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

stock-market-forecasting-1

Stock market forecasting using the ARIMA model.

stock-market-trend-analysis-using-hmm-lstm

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

technical-indicators-backtesting

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".

the-bollinger-bands-squeeze-strategy

time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM