xg86 Goto Github PK

stockflux

StockFlux is a desktop application developed by Scott Logic that uses the OpenFin HTML5 container together with React, Redux, ES2015 and d3fc

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpriceprediction

A demo of stockprice prediction & arbitrage trading.

strata

Open source analytics and market risk library from OpenGamma

strategic_asset_allocation

This is a program for strategic asset allocation research for negative investment FOF.

street-of-walls

Quantitative Jobs

string_grouper

Super Fast String Matching in Python

stringdistance

A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more..

symspell

SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

symspellcompound

SymSpellCompound: compound aware automatic spelling correction

tdd-with-python

Test Driven Development with Python as I work through the book

teafiles.py

Python API for the TeaFile File Format. TeaFiles is Time Series Persistence in Flat Files.

technical-factor-model

A quick basic implementation of a unified technical factor model for SP500

term-structure-for-future-rates

Use 2 factor Vasicek model to carry out the estimation with the constant-maturity Eurodollars

tether_sma_trading

Implement a simple trading strategy with python and show results

text-similarity

A text similarity computation using minhashing and Jaccard distance on reuters dataset

time-series-forecasting-with-arima-and-lstm

timeseries-cv

Time-Series Cross-Validation Module

torq

kdb+ production framework. Read the doc: http://aquaqanalytics.github.io/TorQ/. Join the group!

trading-algorithms

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

trading-bot

Stock Trading Bot using Deep Q-Learning

trading-strategies-in-emerging-markets-coursera

Design your own Trading Strategy

trading_platform

Tool for developing, testing and trading strategies.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

treasurybond

Treasury Bonds and futures analysis

treasuryfuturetrading

A statistical arbitrage strategy on treasury futures using mean-reversion property and meanwhile insensitive to the yield change

treeminhash

TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation

understanding-models-through-the-training-data

Understand predictions of black box models by studying the influence of the training data

us-yield-curve-macroeconomics

A case study analysing the dependence of the US Treasury yield curve on macroeconomic variables.

visualize-wealth

portfolio construction and quantitative analysis