vedantk281007

vedantk281007

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awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

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StockPredictionRNN

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

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High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

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crypto-arbitrage-framework

A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.

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stockindex500

Trend Prediction for High Frequency Trading

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HFT-price-prediction

A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

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hummingbot

Open source software that helps you create and deploy high-frequency crypto trading bots

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SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

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stocknet-code

Code for stock movement prediction from tweets and historical stock prices.

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warren

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

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bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

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stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

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stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

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QuantResearch

Quantitative analysis, strategies and backtests

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awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

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surpriver

Find big moving stocks before they move using machine learning and anomaly detection

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peregrine

Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries

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algotrading

Algorithmic trading framework for cryptocurrencies.

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quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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OpenBB

Investment Research for Everyone, Everywhere.

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deep-quant

Deep learning for forecasting company fundamental data

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AutoTrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

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gs-quant

Python toolkit for quantitative finance

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Deep-Reinforcement-Stock-Trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

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deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

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Deep-Convolution-Stock-Technical-Analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

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MicroPriceIndicator

This repository serves to share the replicated results listed in the paper by Sasha Stoikov - The Micro-Price. As opposed to data used in the paper for US equities BAC and CVX, I am using the data for the Crypto pair ETHBTC. The data was pulled by me from Binance by subscribing to three different streams - Market Trades, Partial Depth and Orderbook Snapshot. Then these were combined to form the order-book and analysis done on the same.

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OrderImbalance

Order Imbalance Strategy in High Frequency Trading

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Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction

Use NLP to predict stock price movement associated with news

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stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

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