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shoonyaapi-py

simple-rsi-trader

A financial trading algorithm based on limit orders, relying on relative strength index indicator to take an action, optimized via Nelder-Mead algorithm for optimum RSi period, stop loss/take profit, and other parameters.

simple-yet-hackable-whatsapp-api

There is no official WhatsApp API. Here is a simple python class which satisfies the need.

simulation-demo

Rapid web app prototyping with xlwings.

smartapi-dotnet

spark-elastic

This project combines Apache Spark and Elasticsearch to enable mining & prediction for Elasticsearch.

spark-elasticsearch-blogpost

Blog post on spark and elasticsearch

spark-elasticsearch-connector

A library for querying Elasticsearch with Apache Spark

spring-elasticsearch-spark-example

sqlhelper

ADO.NET封装库，通过泛型、反射解析model，实现CRUD、分页等常用操作

sqlitehelper.net

SQLiteHelper aims to simplify the usage of SQLite in C#.

stage-compiler

stock-prediction-models

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

stock.indicators

Stock Indicators for .NET is a C# library package that produces financial market technical indicators. Send in historical price quotes and get back desired indicators such as moving averages, Relative Strength Index, Stochastic Oscillator, Parabolic SAR, etc. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library.

stockanalysis

Stock analysis strategies

stockscreener

Build a Stock Screener using FastAPI (Python)

stocksharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

stockwatcher

WPF on .NET Framework application

strongnamesigner

Strong-name sign third party .NET assemblies without the source code.

survivingwinforms

WinForms ain't going away anytime soon. A lot of us have to deal with it. Let's make the most of it, shall we? 😎

terminal

All-in-one. Trading terminal with generic gateway implementation, tick backtester, charting, and performance evaluator for trading strategies.

terminal-desktop

All-in-one. Trading terminal with generic gateway implementation, tick backtester, charting, and performance evaluator for trading strategies.

thinksharp.licensing

Simple library with fluent API for creating and verifying signed licenses

tradekit

a collection of open source server components and Python libraries for financial data projects and automated trading

trady

Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.

trend_topic_recognition

Identify what topics will be trending based on historical data using ECTS classification models.

trendmaster

Using Transformer deep learning architecture to predict stock prices.

tulipindicators

Technical Analysis Indicator Function Library in C

twitter-trending-topic-classification

In the era of Social Networking, tweeting is the newest trend. About 200 million tweets are being generated every day. Twitter provides a list of the most trending topics; it is often hard to understand what these topics are about. This project is to classify a set of tweets T1,T2,T3,...,Tn into general categories like Sports, Business, Entertainment, Technology, Food and Lifestyle and others. Each tweet can belong to more than one category.

vectorbt

Next-gen framework for backtesting, algorithmic trading, and research. Blazingly fast. Flexible. Pandas friendly.