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GitHub / fmilthaler 19 repositories
Postdoctoral Researcher in Computational Physics gone rogue and turned into a Data Engineer. Open-Source developer at heart.
fmilthaler/FinQuant
A program for financial portfolio management, analysis and optimisation.
Language: Python - Size: 1.16 MB - Last synced: about 1 month ago - Pushed: 7 months ago - Stars: 1,264 - Forks: 184
fmilthaler/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN- Fork of deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Size: 4.71 MB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 4 - Forks: 1
fmilthaler/Thesis-LaTeX-Template
This is a generic LaTeX template for dissertations (layout according to Imperial College London).
Language: TeX - Size: 306 KB - Last synced: 10 months ago - Pushed: almost 5 years ago - Stars: 11 - Forks: 3
fmilthaler/Stock-Selection-a-Framework Fork of jaydu1/Stock-Selection-a-Framework
This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
Size: 40.5 MB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 5 - Forks: 1
fmilthaler/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network Fork of duemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).
Size: 5.07 MB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 3 - Forks: 1
fmilthaler/q-trader Fork of edwardhdlu/q-trader
Deep Q-learning driven stock trader bot
Size: 643 KB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 2 - Forks: 0
fmilthaler/self-driving-car Fork of llSeedll/self-driving-car
Self Driving car implementation using CNN
Language: Python - Size: 28.1 MB - Last synced: 10 months ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 1
fmilthaler/RPi-Breadboard-Tuts
Tutorial sessions with the Raspberry Pi and breadboard
Language: Python - Size: 109 KB - Last synced: 10 months ago - Pushed: almost 9 years ago - Stars: 0 - Forks: 0
fmilthaler/PAIGCP Fork of cxbxmxcx/PAIGCP
Course content for Practical AI on the Google Cloud Platform
Size: 727 KB - Last synced: 10 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0
fmilthaler/Numerical-methods-1 Fork of ggorman/Numerical-methods-1
First numerical methods course for geoscience undergraduates
Language: Jupyter Notebook - Size: 7.47 MB - Last synced: 10 months ago - Pushed: over 8 years ago - Stars: 0 - Forks: 0
fmilthaler/HTMLParser
Python class to scrap and parse a webpage (using requests, BeautifulSoup4), mainly for converting tables to pandas.DataFrame
Language: Python - Size: 4.88 KB - Last synced: 10 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0
fmilthaler/HPCMonitor
Automatisation of tasks associated with running jobs on HPC systems, e.g. estimation of required number of cores, data analysis/crunching, text processing, error checking, automatic e-mail reports. Essential when thousands of simulations are running simultaneously.
Language: Python - Size: 172 KB - Last synced: 10 months ago - Pushed: almost 9 years ago - Stars: 1 - Forks: 0
fmilthaler/FundamentalAnalysis Fork of JerBouma/FinanceToolkit
Fully-fledged Fundamental Analysis package capable of collecting 10 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies.
Size: 562 KB - Last synced: 10 months ago - Pushed: about 4 years ago - Stars: 12 - Forks: 4
fmilthaler/Deep-Reinforcement-Stock-Trading Fork of Albert-Z-Guo/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.
Size: 9.98 MB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 14 - Forks: 1
fmilthaler/DAKOTA-Fluidity-examples
This repository contains a few examples on how to use DAKOTA and Fluidity
Language: Python - Size: 1.35 MB - Last synced: 10 months ago - Pushed: about 8 years ago - Stars: 1 - Forks: 0
fmilthaler/moderncvstyles
This packages provides a few tweaks/additions/styles to the popular LaTeX moderncv and moderntimeline packages.
Language: TeX - Size: 67.4 KB - Last synced: 10 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0
fmilthaler/fmilthaler.github.io
fmilthaler project overview
Language: CSS - Size: 63.5 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0
fmilthaler/turbine-geometry-automagic
This tool provides a Python class which allows the user to specify a number of parameters in order to automatically generate the geometry (and mesh) of a wind/tidal turbine in Cubit.
Language: Python - Size: 80.1 KB - Last synced: 10 months ago - Pushed: over 7 years ago - Stars: 4 - Forks: 2
fmilthaler/py2pgftable
This package provides a Python class to automate the process of generating LaTeX code displaying data in a table.
Language: Python - Size: 172 KB - Last synced: 10 months ago - Pushed: over 10 years ago - Stars: 1 - Forks: 1