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stock-return-prediction-using-knn-svm-guassian-process-adaboost-tree-regression-and-qda

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

stockmarketpedicition

stockperformanceclassification

Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements

stockpredictionrnn

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

stocks-analysis-workbench

Just data science playground.

stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

stock_price_prediction_using_lstms

stratx

stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables

stumpy

STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks

superalgos

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

superlearner_ensemble_classifier

Implemented a Super Learner Classifier Ensemble using heterogeneous base estimators as an extension for the Scikit Learn Machine Learning library for python

supervised-reptile

Reptile on supervised meta-learning datasets

surpriver

Find big moving stocks before they move using machine learning and anomaly detection

svd

Python code implementing the power method for Singular Value Decomposition

swe-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

synthetic_prices_using_mcmc

ta

Technical Analysis Library using Pandas and Numpy

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

ta-rs

Technical analysis library for Rust language

tabpfn

Official implementation of the TabPFN and the tabpfn package.

tcav

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

tensorflow-lstm-regression

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

tensorflow-seq2seq-tutorials

Dynamic seq2seq in TensorFlow, step by step

tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

test-stock-prediction-algorithms

Use deep learning, genetic programming and other methods to predict stock and market movements

the-gateway-code-samples

Code samples for The Gateway.