Search Results for "stock"
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14 projects for "stock" with 2 filters applied:
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a-stock-data
Full-stack China A-Share data toolkit for AI coding assistants
a-stock-data is a self-contained AI agent skill for accessing Chinese A-share market data through direct HTTP data sources. It packages data access logic into a structured skill file so coding assistants can retrieve and analyze stock information without relying on separate third-party wrapper libraries. The project organizes data across multiple layers, including market quotes, research reports, signals, capital flows, news, announcements, macro data, and financial statements. ... -
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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. The project offers a comprehensive simulation environment similar to SimNow that supports futures, options, A share stocks, funds, bonds, and stock options, and even extends to Hong Kong and US markets. ... -
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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
...It integrates historical market data sources and trading frameworks so that users can quickly build experiments without constructing complex data pipelines. 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. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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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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 designed to make quantitative investing more accessible by offering ready-to-use strategies that analyze market behavior, detect patterns, and generate actionable insights. The project includes tools for evaluating stock performance, identifying trends, and applying algorithmic models to financial data, enabling users to experiment with different investment approaches. 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. ... -
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RL-Stock
Automated stock trading through a simulated training environment
RL-Stock is a reinforcement learning project that explores automated stock trading through a simulated training environment. It is written as an educational experiment rather than a financial product or investment recommendation system. The project includes scripts for collecting stock data, defining a reinforcement learning environment, training an agent, and visualizing results. -
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bulbea
Deep Learning based Python Library for Stock Market Prediction
bulbea is an open-source Python library designed for financial analysis and stock market prediction using machine learning and deep learning techniques. The library provides tools for retrieving financial time series data, preprocessing market data, and training predictive models that estimate future price movements. bulbea integrates common machine learning frameworks such as TensorFlow and Keras to build neural network models capable of learning patterns in historical financial data. ... -
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AIStockBot
Stock Analysis Program
AIStockBot aims to become the greatest Technical and Fundamental Stock Analysis program using different approaches including Artificial Intelligence. It strives to recommend stocks better than your average Financial Adviser. -
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Simulation platform for automated stock exchange trading. It delivers statistics to analyse performance on historic data and allows comparison between trading strategies, that can be coded in Java.
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The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.
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Opensource, webbased Stock analysis with support for AI algorithms and simulation. Current development state is very early and only supports viewing of stock quotes at the moment.
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