Professor Ernesto C.R., George Washington University (www.gwu.edu) (ernestcr)

ernestcr

Geek Repo

Company:George Washington University/Harvard

Location:United States/Switzerland/Peru/Argentina

Home Page:www.gwu.edu

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algorithmictradinglstm
mininter-ministerio-del-interior
novartis-switzerland
the-george-washington-university

Professor Ernesto C.R., George Washington University (www.gwu.edu)'s repositories

ECR-Pattern-Recognition-for-Forex-Trading

Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).

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

LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data.

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ECR-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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ECR-Tensorflow-for-Stock-Prediction

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

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Etherum_Futures

Etherum Futures

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How-to-Predict-Stock-Prices-Easily-Demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

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voice32-stock_market_indicators

The functions in this library accept the data in Pandas DataFrame format. The data should contain OPEN, HIGH, LOW, CLOSE and VOLUME columns. See the comments for each function for the list of required columns. Their default names are hardcoded in functions' params, however you may supply your own column names, if they are different. Sometimes you would also need to provide periods over which to calculate the indicator values. However, for all of them the default (recommended) values are pre-assigned.

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100_Days_of_ML_Code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

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21.09.24.R.Lab06-Objects_Classes

Laboratorio 06 de R Objects Classes

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21.09.25.R.Lab08.Project_importingData

Laboratory 08 Importing Data in R

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21.09.25.R.Lab10-RegularExpressions

Laboratory 10 - Regular Expressions in R

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Awesome-AI

A curated list of awesome things related to artificial intelligence tools around the world wide web

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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COVID_19_PERU

Intento de armar un handbook para centralizar información e iniciativas sobre el COVID-19

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data_pob_identificada

Data población identificada

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DataSciencePython

common data analysis and machine learning tasks using python

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DeepNote_StockChart

DeepNote_StockChart

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ECR-Machine-Learning-Stocks

Machine Learning Stocks: Using python and scikit-learn to make stock predictions

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ECR-Stocky

Machine Learning Stock Trading Risk Analysis (Spring 2017)

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fastai

The fastai deep learning library, plus lessons and tutorials

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Linear_Regression

Linear Regression

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machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

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Multidimensional-LSTM-BitCoin-Time-Series-master

Multidimensional LSTM BitCoin Time-Series (master): Using multidimensional LSTM neural networks to create a forecast for Bitcoin price.

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okama-dash

Python financial widgets with okama and Dash (plotly)

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Python_Advanced

Python Advanced Laboratory

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Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning

This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly

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Yahoo-Finance_Stocklist-Scraper

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

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zipline

Zipline, a Pythonic Algorithmic Trading Library

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