verystrongbuy Goto Github PK

a-real-time-system-of-bitcoin-price-prediction

A-Real-time-System-of-Bitcoin-Price-Prediction

algorithmic-trading-challenge

alpaca_tech_screener

bitcoin-prediction

Bitcoin Price Prediction using Recurrent Neural Networks

bitcoin_prediction_real_time

Predict Bitcoin in real-time using Kafka,MongoDb and Spark.

bitcoinforecast

Predict bitcoin price with deep learning

bitpredict

Machine learning for high frequency bitcoin price prediction

coinpusher

:chart_with_upwards_trend: real-time cryptocurrency chart prediction based on neuronal-networks :bowtie:

cryptocurrency-price-prediction

Predict bitcoin price using LSTM

cryptocurrency-price-prediction-1

GRU based time series price prediction trained on cryptocurrency price history dataset and real-time price forecast

daytrading-rnn

a day trading strategy based on lstm

eth_predictor

Ethereum Cryptocurrency Real Time Prediction (ETH/USD)

fang-stock-prediction

fractal-market-analysis

We are hard pressed to find a concrete implementation of both Benoit Mandelbrot's "A Multifractal Model of Asset Returns" and Edgar E. Peters' "Fractal Market Analysis" so, with apologies to the Authors, we attempt to fill this vacancy.

fractalgraph

Generates and plots fractal graphs as described in Mandelbrot's "A Fractal Walk Down Wall Street", which should loosely model stock market price graphs using fractal logic.

fractalrock

Generate fractal time series with non-normal returns distribution

intraday-stock-market-prediction

In this repository Machine Learning Algorithms & Project

iota_prediction

Real-time prediction of the iota (cryptocurrency) market capitalization.

linear-regression-stock-price-prediction

A small Machine Learning Linear Regression model for live prediction of the stock price changes for next 30 days with 93% accuracy on Google Wiki.

mandelbrot-stocks

Generate stock charts using fractals

market-fractals

Reads daily stocks over the years to trace fractal patterns.

markettrader

An all-in-one python script that will: gather and pull data from top gaining stocks, calculate which stock has the highest chance of profit, and using machine learning to buy and sell throughout a typical market day. (WIP)

matlab---fractal-modelling

Fractal modelling of correlation of intraday stock prices with volume traded using h-parameters

monte-carlosimulation-for-options-pricing

Codes of the HPC Project are added here.

montecarlo

A model free Monte Carlo approach to price and hedge American options equiped with Heston model, OHMC, and LSM

new-york-stock-exchange-predictions-rnn-lstm

BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!

nolds

Nonlinear measures for dynamical systems (based on one-dimensional time series)

option-pricing-and-strategies

Developed a Python program that calculates the price of both calls and put options using methods like Monte Carlo Simulation, Black Scholes Model, Cox-Ross-Rubinstein and Jarrow-Rudd. Strategies like Butterfly spread and Iron condor was also implemented.

option-writing-calls-using-open-interest

Deciding the strike price for writing options, based on the Open Interest from the option chain data from NSE(National Stock Exchange)

options

options screener for call writing