vedantk281007's starred repositories
Stock-Prediction
LSTM RNN for sentiment-based stock prediction
PredictingClosingPriceTomorrow
Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.
deep_rl_trader
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
RL-Forex-trader-LSTM
Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader
stock-analysis
Simple to use interfaces for basic technical analysis of stocks.
Stocks-Pattern-Analyzer
This tool should help discover different patterns based on similarity measures in historical (financial) data
pysystemtrade
Systematic Trading in python
NSEDownload
Python Library to get historical stocks data on NSE
DiamondsMachineLearning
Machine Learning and Data Analysis on Diamonds Dataset
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Timeseries-Prediction-Models
Gathers & improves machine learning and deep learning models for Stock & Crypto forecasting, included trading bots and simulations.
EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
PapersDownloader
GUI program to download CAIE past papers at IGCSE, AS and A Level [PARTIALLY DEPRECATED DUE TO GCEGUIDE API CHANGES]
OpenRevise1
Home of IGCSE revision. Past papers, mark schemes, and subject notes."
NeuroEvolutionMarketTrader
Neuro evolution agent to buy and sell stocks atumatically
Evolution-Trading
A small example to show how stock trading can be done with evolutionary neural networks
Learn-Algorithmic-Trading
Learn Algorithmic Trading, Published by Packt
Bank-Nifty-Price-Prediction-using-DNN-and-Wavelet-Decomposition
This is a Deep Learning Model to predict price of Bank Nifty Index. Featues used are the closing price, Wavelet decomposition of the closing series , Advance Decline Ratio and India Vix
awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
avellaneda-stoikov
Avellaneda-Stoikov HFT market making algorithm implementation
AI-for-Trading
Udacity nanodegree: AI for Trading
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
financial-machine-learning
A curated list of practical financial machine learning tools and applications.