overfittingstudyroom,github

simfin-tutorials

Tutorials for SimFin - Simple financial data for Python

simple-binary-encoding

Simple Binary Encoding (SBE) - High Performance Message Codec

skab

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

sktime

A unified framework for machine learning with time series

spectre

GPU-accelerated Factors analysis library and Backtester

speedb

Speedb is a library that provides an embedded, persistent key-value store.

srpc

High performance, low latency, lightweight enterprise-level RPC system. Supports Baidu bRPC, Tencent tRPC, thrift protocols.

state-threads

Lightweight thread library for C/C++ coroutine (similar to goroutine), for high performance network servers.

statsforecast

Forecasting at scale using statistical models.

stochastic

Generate realizations of stochastic processes in python.

stock-analysis-1

Simple to use interfaces for basic technical analysis of stocks.

stock-market-analysis-and-prediction

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

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

Stock Price Prediction using Machine Learning Techniques

stocks

Programs for stock prediction and evaluation

stocks-pattern-analyzer

This tool should help discover different patterns based on similarity measures in historical (financial) data

stocks-prediction-machine-learning-realtime-telegram

Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:

stockstats

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

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.

support_resistance

Small package that helps to find support and resistance levels and plot them on chart

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