Search Results for "trading signals"
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Showing 30 open source projects for "trading signals"
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Quantitative Trading System
A comprehensive quantitative trading system with AI-powered analysis
...It includes tools for collecting and processing market data from multiple sources, performing statistical and machine learning analysis, and generating trading signals based on quantitative models. The system supports real-time data streaming, allowing strategies to respond to market conditions as they evolve. QuantMuse also incorporates advanced risk management features, including portfolio monitoring, risk limits, and dynamic position sizing to control exposure. -
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BTC Trading Since 2020
Public BTC trading context since 2020
...The project emphasizes data-driven decision-making, providing tools and scripts to analyze trends, generate signals, and evaluate performance metrics. It is structured in a way that allows users to modify or extend strategies, making it suitable for both learning and experimentation. The system is particularly useful for individuals interested in quantitative trading and algorithmic finance. -
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TradingGoose Studio
Technical analysis + LLM powered trading workflows
TradingGoose Studio is an open-source AI workflow platform designed to enable advanced financial trading analysis and automation through a visual, modular interface powered by large language models. It combines traditional technical analysis with modern AI-driven decision-making by allowing users to build workflows where multiple specialized agents collaborate to interpret market signals and execute actions. The platform supports end-to-end trading pipelines, starting from ingesting real-time market data and applying custom indicators, to generating insights and triggering automated trades or alerts. ... -
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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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finvizfinance
Finviz analysis python library
...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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Smart-AI-Crypto-Trading-Bot
Smart AI Crypto Trading Bot
...By integrating these diverse data streams, the bot generates precise trading signals, indicating the optimal times to buy or sell specific cryptocurrencies. One of the standout features of the Smart AI Crypto Trading Bot is its ability to adapt to the ever-changing market conditions. It continuously learns from market data, refining its algorithms to improve trading accuracy over time. This adaptive learning mechanism ensures that the bot remains effective even as market dynamics evolve. -
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crypto scanner v6.0.0
AI‑powered signals, risk analysis, and automated trading bot
Advanced Crypto Scanner v6.0.0 All‑in‑one Windows crypto tool – real‑time data, signals, risk analysis, AI learning, and automated trading bot. Live Data: Prices, volume, market cap (CoinMarketCap/CoinGecko), BTC dominance, market sentiment. Smart Signals: Basic (price/volume) & Advanced (RSI, MACD, Bollinger, Stochastic, ADX) with confirmation gate. Risk Rating: Low/Medium/High based on liquidity, volatility, category, technicals. -
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Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade automated trading system designed for the Kalshi event-based prediction market. Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages... -
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This project provides a framework for scanning and executing various trading strategies on the TON blockchain ecosystem. It retrieves market data from multiple decentralized exchanges (DEXs) and applies a range of trading strategies to identify potential opportunities. This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced...
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Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
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SolanaMevBotGui
Solana Trade Bot is an open-source tool for automated trading on the
This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced algorithms, it can analyze complex data, learn, and provide intuitive solutions. Developed in popular languages like Python, it is fully customizable and open for community contributions and improvements. -
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JesseAi
Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting
...Secure live trading on Binance, Bybit & major exchanges, full risk management, leverage/futures support, and pro analytics. One of the best open-source alternatives to Freqtrade with genuine AI edge: privacy-first self-hosting (no shared API keys), multi-timeframe/symbol backtesting, custom indicators, ML-enhanced signals. Perfect for Python devs, algorithmic traders, high-frequency, trend-following, mean-reversion & arbitrage enthusiasts seeking the top ai crypto trading bot or best crypto trading bot in 2026. ... -
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tradesignal
The best Free Stock trade signal in 2023
...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 restructure a portfolio, change sector allocations, or take new positions. Trading signals can be generated by traders using a range of criteria, from straightforward ones like earnings announcements and volume spikes to more intricate signals that are developed utilizing existing signals. -
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buysignal
Best Crypto Signal Application – Get Free Signals Today
Trading the cryptocurrency market can be tricky – especially if you are a beginner. However, by using crypto signal application, no need for extensive research and analysis, allowing to streamline trading through daily and weekly trade period. If you like my work, feel free to support it! XMR: 47o95rpZcEAZzTMr52T7ye9ZBecPojT6wYQsgqgHggqwMx6jRTez7mhSosATYWZGQ1a3PMYFtoubYA5rWrCcTwvvULwfPWd -
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webotron
Using industrial automation techniques for creating web scraping tools
Industry uses machines that can easily maim or kill their operators and is also used in very adverse environments. In spite of this, production quality must be close to perfect without reliance on operator skill or attentiveness. Control programs must be robust, yet simple enough to be understood and maintained by non programmer skilled trades like electricians . The main programming model is the PLC which implements double buffering and an event loop. The most advanced production model... -
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SGX-Full-OrderBook-Tick-Data-Trading
Providing the solutions for high-frequency trading (HFT) strategies
...Several algorithms are used during model selection, including Random Forest, Extra Trees, AdaBoost, Gradient Boosting, and Support Vector Machines. The project evaluates models by predicting price direction within very short time windows and then applying a simple trading strategy based on those predictions. It also measures profitability through profit-and-loss analysis derived from the predicted signals. -
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Node Binance Trader NBT
Cryptocurrency trading strategy & portfolio management development
By default the trader tries to trade with margin, so you need to have at least 0.001 BTC in your spot as well as your margin account. Also, to cover trading fees, you'll need a small amount of BNB in both your spot and margin wallets. While the Bitcoin vs. Altcoins website itself is closed source, the automated trading bot called Node Binance Trader (NBT) is open source. It connects to your Binance account via the Binance API and executes the trades on your behalf. Choose any unique name you... -
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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms, how to extract tradeable signals from financial text data like SEC filings, earnings call transcripts or financial news. ... -
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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. These anomalies are interpreted as signals that a stock may soon experience a major upward or downward move. The framework includes modules for retrieving market data, computing technical indicators, and applying anomaly detection algorithms to identify unusual patterns. ... -
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Strategems
Quantitative systematic trading strategy development and backtesting
Strategems is a Julia package aimed at simplifying and streamlining the process of developing, testing, and optimizing algorithmic/systematic trading strategies. This package is inspired in large part by the quantstrat1,2 package in R, adopting a similar general structure to the building blocks that make up a strategy. Given the highly iterative nature of event-driven trading strategy development, Julia's high-performance design (particularly in the context of loops) and straightforward... -
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TTP
Your one and only Trading Portal
Get all your Forex needs with Tradesmanship Trading Portal [TTP]. Receive Premium Forex signals in Tradesmanship Trading Portal included with charts and details. TTP is also equipped with a Forex calendar, Forex time and RSS news feed updated every 10 mins. -
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LEAN
Lean algorithmic trading engine by QuantConnect
Automated accounting for splits, dividends, and corporate events like delistings and mergers. Avoid selection bias with dynamically generated assets. Create and select asset universes on proprietary data and indicators. Automatically track portfolio performance, profit and loss, and holdings across multiple asset classes and margin models in the same strategy. Trigger regular functions to occur at desired times, during market hours, on certain days of the week, or at specific times of day.... -
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JStockCharts
User Friendly Technical Analysis tool for CSE Equity trading.
Charting Software for Colombo Stock Exchange equity trading. Uses a local database, Users who are willing to receive WAP file can subscribe to our mailing-list (https://lists.sourceforge.net/lists/listinfo/jchartscse-wapfeed) and I will send the files daily. New: Latest price data db file is available in the following repository. just download the db file and copy it in to the application folder. https://www.dropbox.com/sh/ahc3x5cfh3xmnsj/sirAJZ-paV The program features all the... -
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Binary Options Trading Station
Spreadsheet for trading binary options.
...This was written in Open Office from https://www.openoffice.org/ Further notes: If trading 1 minute binary options price only needs to be entered every 1 minute or less. If trading 5 minute or later options same applies. Pick a set interval to continually update spreadsheet. 10 prices must be entered before data should be used off spreadsheet. -
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System for analysis of financial markets using technical analysis. Includes facilities for stock charting and futures charting, as well as automated generation of trading signals based on user-selected criteria. Operates on both daily and intraday data.
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jCryptoTrader
Java crypto-currency exchanges trading client
jCryptoTrader ========================= Java crypto-currency exchanges trading client. Please donate to 1M4SKfh83ZxsCSDmfaXvfCfMonFxMa5vvh if you like it. # Features * Real time charts * Multi-market unified interface * Trading rules * Real time capitalization info from http://coinmarketcap.com/ # Supported exchanges jCryptoTrader currently supports Cryptsy, BTC-E and partially MtGox (only public api)
