jaungiers/Random-Portfolio-vs-Benchmark-Strategy

Stars
19
Rank 1,163,249 (Top 23 %)
Language
Python
Created almost 10 years ago
Updated almost 10 years ago

jaungiers/Random-Portfolio-vs-Benchmark-Strategy

jaungiers

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Python Monte Carlo Simulation to model returns from randomly generated portfolios against a benchmark index.

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Multidimensional-LSTM-BitCoin-Time-Series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

Jupyter Notebook

TensorFlow-Intro

Introduction to TensorFlow. Basic operators, linear and logistic regression and Tensorboard

Tinder-py_auto_liker

Short and dirty Python script to auto "swipe right" all Tinder profiles.

Yahoo-Finance-Stocklist-Scraper

Converts the full Yahoo Finance stocks list into a .csv file with ticker symbol, company name, exchange and country mapped.

MvTAe-Multivariate-Temporal-Autoencoder

This code demonstrates a multi-branch deep neural network approach to tackling the problem of multivariate temporal sequence prediction by modelling a latent state vector representation of data windows through the use of a recurrent autoencoder and predictive model.

Jupyter Notebook

Code-Line-Counter

Python script for iterating directory and outputting total line counts for all file types

ImgResizeApi

Web API utilizing Python Flask, OpenCV & Numpy to dynamically re-size images.

keras-tools

A collection of tools and helper functions I've made for the Keras machine learning framework

R-Datastream

Simple framework library for communicating between Thompson Reuters Datastream service API and R

Neural-Network-OCR

A multi-layer neural network in Python to recognise characters from the MNIST dataset

Perceptron-Linear-Classifier

A simple single layer perceptron neural network classifier for linear classification