Search Results for "robot trading stock"
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Showing 79 open source projects for "robot trading stock"
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1
OctoBot
Cryptocurrency trading bot for TA, arbitrage and social trading
OctoBot is a trading robot that is designed to be easy to use and infinitely customizable. OctoBot is built for people who don't have much time or do not easily trust crypto-world projects. Many trading automation tools exist but most of them are complicated to use, expensive, do not behave as intended, or are meant to be used by professional traders. -
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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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5
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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RoboSats
A simple and private bitcoin exchange
RoboSats is a privacy-preserving, peer-to-peer Bitcoin exchange that allows users to buy and sell Bitcoin using Lightning Network payments without requiring identity verification. It uses Tor by default and leverages a simple robot-based user interface to facilitate one-time trades between anonymous users. Each trade session is isolated, and no long-term accounts or KYC are needed, making RoboSats one of the most private Bitcoin P2P tools available. Designed with a strong focus on usability... -
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Scalpetronix
Forex robot for trading on scalping strategy on Metatrader 4 platform
Forex robot for trading on the scalping strategy on the Metatrader4 platform. The robot works with most well-known forex brokers. The recommended currency pair is XAUUSD and the timeframe is M5. The initial balance can be used from $ 1000. It is recommended to use brokers with a minimum spread. -
8
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... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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. ... -
18
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. -
19
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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TradeAnalyzer
TradeAnalyzer for Forex, Cryptos, Indices, Shares, Metals and Energies
Analyzing your trades of Forex, Cryptos, Indices, Shares, Metals and Energies. Connect your trading plattform with the TradeAnalyzer, find leaks in your trading, find your best performance and get the next level. No matter if daytrading or trading robot (Expert Advisor). Get the best performance with the TradeAnalyzer and increase your profits. Compatible operating systems: - Windows 7 - Windows 8 - Windows 10 - Ubuntu 12.04 LTS - Ubuntu 14.04 LTS - Ubuntu 16.04 LTS - Ubuntu 18.04 LTS Compatible tradingplatforms: - MetaTrader4 -
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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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TestLink-API-Python-client
Python XML-RPC client for TestLink
TestLink-API-Python-client is a Python XML-RPC client for TestLink Initially based on James Stock testlink-api-python-client R7 and Olivier Renault JinFeng idea - an interaction of TestLink, Robot Framework and Jenkins. TestLink-API-Python-client delivers two main classes - TestlinkAPIGeneric - Implements the Testlink API methods as generic PY methods with error handling - TestlinkAPIClient - Inherits from TestlinkAPIGeneric and defines service methods like "copyTCnewVersion" and the helper class - TestLinkHelper - search connection parameter from environment variables and command line arguments -
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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. ...
