Search Results for "stock trading"
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Showing 72 open source projects for "stock trading"
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openctp
Provides CTP stock options and Zhongtai Securities XTP
openctp is a technical service platform built around the CTP trading ecosystem that provides CTP compatible interfaces for a wide range of brokerage backends and markets. Its core idea is to wrap heterogeneous stock and derivatives trading gateways such as Zhongtai XTP, Huaxin Qidian TORA, and others with CTPAPI compatible interfaces, so existing CTP programs can connect simply by swapping dynamic libraries rather than rewriting code. -
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AIQuant
AI-powered platform for quantitative trading
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. ... -
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finvizfinance
Finviz analysis python library
finvizfinance is a package that collects financial information from FinViz website. Stock charts, fundamental & technical information, insider information and stock news. Forex charts and performance. Crypto charts and performance. Screener and Group provide data frames for comparing stocks according to different filters and trading signals. Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock. -
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AI Hedge Fund
An AI Hedge Fund Team
This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. ... -
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ThetaGang
ThetaGang is an IBKR bot for collecting money
...This strategy reduces risk, but may also limit gains from big market swings. By reducing risk, one can increase leverage. ThetaGang will try to acquire your desired allocation of each stock or ETF according to the weights you specify in the config. To acquire the positions, the script will write puts when conditions are met. -
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ValueCell
Community-driven, multi-agent platform for financial applications
ValueCell is a community-driven multi-agent AI platform focused on financial research, analysis, and decision-making that lets users leverage multiple specialized AI agents for tasks like data retrieval, investment research, strategy execution, and market tracking. The system brings together a suite of collaborative agents—such as research agents that gather and interpret fundamentals, strategy agents that implement trading logic, and news agents that deliver personalized updates—to help... -
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Investor Tools
Tools for investing
Stock screening tools run in the Firefox browser as temporary extensions. The SEDI insider trading screen downloads the PDF weekly insider trading summary from SEDI.ca, extracts significant insider buying and then uses the SEDI watch list to separate dividend paying and non-dividend paying stocks. The EDGAR trading screen downloads the previous week's US insider trading reports from SEC.gov, extracts significant insider buying and then uses the EDGAR watch list to separate dividend paying and non-dividend paying stocks. ... -
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Venice is a stock market trading programme that supports portfolio management, charting, technical analysis, paper trading and genetic programming. Venice runs in a graphical user interface with online help and has full documentation.
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fastquant
Backtest and optimize your ML trading strategies with only 3 lines
...The framework enables users to test common strategies such as moving average crossovers, momentum trading, and custom indicators on historical stock data. By automating data retrieval, strategy evaluation, and result visualization, the library reduces the barrier to entry for individuals interested in quantitative finance. The project also supports optimization workflows that allow users to search for parameter combinations that improve trading strategy performance. -
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or... -
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tradesignal
The best Free Stock trade signal in 2023
A trade signal is an analysis-generated cue to take action, such as buying or selling a security or other asset. It is possible for that analysis to be generated by a human utilizing technical indications or by computer algorithms based on market activity, possibly in conjunction with other market aspects like economic indicators. KEY LESSONS Depending on a predetermined set of parameters, trading signals act as triggers to buy or sell a security. Additionally, they can be utilized to... -
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Haircut_EQ
Fetches the historical Haircut data (%) of Equities and Gold Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price. This program is used to identify the real value of a share with date. It fetches the historical Haircut data (%) and Price of an equity listed in NSE, India at a selected date. ... -
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MachineLearningStocks
Using python and scikit-learn to make stock predictions
MachineLearningStocks is a Python-based template project that demonstrates how machine learning can be applied to predicting stock market performance. The project provides a structured workflow that collects financial data, processes features, trains predictive models, and evaluates trading strategies. Using libraries such as pandas and scikit-learn, the repository shows how historical financial indicators can be transformed into machine learning features. The model attempts to predict whether specific stocks will outperform a benchmark index such as the S&P 500. ... -
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surpriver
Find big moving stocks before they move using machine learning
surpriver is a machine learning project designed to identify unusual stock market activity that may precede large price movements. The system analyzes historical stock price and volume data to detect anomalies that could indicate potential trading opportunities. By applying machine learning techniques to market indicators, the tool attempts to identify patterns in trading behavior that deviate significantly from normal market activity. -
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Eiten
Statistical and Algorithmic Investing Strategies for Everyone
...It is part of the broader Tradytics ecosystem, which emphasizes AI-driven financial tools for identifying opportunities in the stock market. The repository serves both as a learning resource and as a practical toolkit for traders and developers interested in quantitative finance. It encourages experimentation with different strategies and models, allowing users to adapt techniques to their own trading goals. -
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StockSharp
Algorithmic trading and quantitative trading open source platform
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).StockSharp (shortly S#) – are free programs for trading at any markets of the world (American, European, Asian, Russian, stocks, futures, options, Bitcoins, forex, etc.). You will be able to trade manually or automated trading (algorithmic trading robots, conventional or HFT). -
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Trader's Home Task
Tool to link different trading platforms for U.S. stock market
!!! NOTE: THT releases and the source code have been moved to GitHub. Please visit https://github.com/smoked-herring/tht/releases . If you'd like to help the project, just signup and login into GitHub and click the "Star" button in the top right corner. !!! Trader's Home Task (THT) helps you preparing for a working day on the U.S. stock market. It can link Advanced Get/ESignal, Thinkorswim, and other windows together, manage lists of tickers, take screenshots, add tickers directly... -
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TechnicalIndicators
A javascript technical indicators written in typescript
A javascript technical indicator written in typescript with pattern recognition right in the browser. Every indicator has a static method calculated which can be used to calculate the indicator without creating an object. Initialize the indicator with the available price value. Get results for initialized values. Use nextValue to get the next indicator values for further tick. This uses regular javascript numbers, so there can be rounding errors that are negligible for a technical... -
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fooltrader
Quant framework for stock
Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. ... -
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PyAlgoTrade
Python Algorithmic Trading Library
PyAlgoTrade is a Python library for backtesting stock trading strategies. -
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pyStockTrader
python base stock trading simulator
Python base stock trading simulator. This program is for the Japanese stock market. But you can use this program in other markets -
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Angular Stock Quoter
AngularJS application that retrieves stock quotes and builds table
AngularJS application showcasing custom directives, services, ajax, filters, dynamic tables with automatically updated totals as stock quotes are retrieved and displayed. Features of this application: 1) Display of real time stock quotes at an interval that can be customized 2) Display of options - very simple calculation of underlying stock price minus the strike price of the option TIMES #shares to give the value of the option. 3) Dynamic totals are auto calculated as the table reloads with the latest information/prices 4) Ability to turn off (with checkboxes) major averages such as Nasdaq, DOW, or S&P. ... -
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Econball
Equation of stock trading simplified to game of moving resizing balls
The econ theory is the value of buy and sell are usually equal, at whatever free market price at the time, so if we trade between 2 things, holding the total of those 2 equal eachother, then you can buy without anyone selling, or sell without anyone buying. Just change from one equal valued type to the other, and the total of all the A's and all the B's are scaled instantly to be the same amounts. Those who change to the majority side lose, and those who change to the minority side win,... -
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StockSims Inspector Simulator
StockSims Inspector Simulator
Stock Price Inspector Moon Phase Alignment Inspection Trading Simulation Engine Key View (Multiple Time Frame Comparator)
