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steel_defect_detection

Repository containing the materials for Kaggle Steel Defect Detection competition.

steem-python

The official Python (3) library for the Steem Blockchain.

stereoscopic-portfolio-optimization

Building atop the Efficient Frontier approach.

stfin

Finance related functions

stickypricemodel

Estimation.m now contains everything related to estimation. Here you can choose the parameters to estimate, set the bounds, etc. Meanwhile the mod file just runs the model with one set of parameters. (See Oct 24 emails)

stimomatic

StimOmatic is the accompanying code for the 2013 publication "A method for closed-loop presentation of sensory stimuli conditional on the internal brain-state of awake animals" by U. Rutishauser, A. Kotowicz and G. Laurent.

stochastic

Generate realizations of stochastic processes in python.

stochastic-marriage-algorithm

A Simulator for the Stochastic Marriage Algorithm

stochastic_growth_model

stochastic_pmf

Poisson matrix factorization and autotagger

stochasticmodelingwdata

Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps

stochevolution

Simulating stochastic evolutionary dynamics

stochmatrix

Routines for stochastic matrices

stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

stock-charting

stock-cluster-nlp

stock-data-visualization-using-d3.js-and-django

stock-direction-prediction

Predicting stock direction using deep learning and sentimental analysis

stock-guru

Facebook Messenger bot for stock info

stock-modeling

Machine Learning Project on Predicting any Stock

stock-option-pricing

Bloomberg API based S&P500 extraction on R. Maximum Likelihood parameter estimation of Double Exponential Jump Diffusion Model (DEJD). European option pricing using DEJD model.

stock-options-pricing-model

• Visualised trend and seasonality & conducted tests for checking stationarity of Time series for predicting volatility using GARCH Model. • Developed Cox-Ross-Rubenstein Binomial Tree Model for pricing American Call & Put Options.• Programatically Implemented Black Sholes Merton Model for pricing European Call & Put Options.

stock-predication

S&P 500 stock prediction

stock-prediction

Predict share price using a basic neural network model.

stock-prediction-1

Using google trends and Tensorflow to predict whether the s&p500 index goes up or down

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-price-specific-lstm

This is a basic LSTM application on stock (securities) market. The project uses Keras+ Tensorflow.

stock-prices

stock-system

A simple stock management system developed in Microsoft Access and Visual Basic. Documentation included.

stock-ticker-query

Heroku app