Stock Screener scans twelve global markets every day so growth investors can find CANSLIM and Minervini style candidates without stitching together spreadsheets and charting sites. You run bulk scans with more than eighty technical and fundamental filters, then rank results by composite scores, relative strength sparklines, and multi-screener ratings that show which names pass several methodologies at once. Market health and exposure views translate breadth into position-sizing guidance, while StockBee style breadth pages track daily movers, advance and decline lines, new highs and lows, and benchmark overlays from one shared calculation layer. Industry group rankings order sectors and groups by relative strength with one-week to six-month movers, and the Relative Rotation Graph plots groups moving through leading, weakening, lagging, and improving quadrants. The stock matrix lays out constituents in grid or cluster layouts colored by change or relative strength, watchlists organize into drag-and-drop folders with sparklines, and theme discovery watches news and social feeds for emerging narratives. An AI research chatbot answers questions against the same daily data, an options command center adds gamma and volatility context for top candidates, and backtesting validates published picks against price history. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

OpenStock delivers a production-ready financial market terminal that unifies real-time equity pricing, technical analysis, and multi-asset watchlists into a personal self-hosted dashboard. Investors can monitor equities across thirty international exchanges, inspect live candlestick charts powered by TradingView, and evaluate technical momentum oscillators without paying recurring platform subscriptions. The global command palette accessible via keyboard shortcuts enables instantaneous ticker discovery across global exchange symbols and economic sectors. Users can organize individual stock watchlists in MongoDB, configure automated price threshold alerts triggered every fifteen seconds, and review cross-platform sentiment scores synthesized from Reddit, X, and financial news feeds. The built-in automation engine schedules weekly digest reports and event-driven notifications dispatched directly to your inbox through Nodemailer transports. Responsive market heatmaps and top-mover widgets surface daily sector performance before the opening bell rings. Deployable via Docker Compose with dedicated MongoDB persistence, the platform scales across multi-key Finnhub rate limits effortlessly. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Screen equities against dozens of technical indicators, backtest algorithmic trading strategies, and spot intraday market anomalies using Tick Stock Panel, a self-hosted quantitative analysis workbench. Traders can filter entire exchanges across technical indicators including moving averages, relative strength index, and Bollinger bands with near-instantaneous execution. The platform provides a full backtesting environment where users test customized entry and exit rules, account for simulated slippage and commission fees, and review streamed performance metrics. Dedicated monitoring modules track intraday volume spikes, price breakouts, and multi-day limit streaks with automated alert dispatching to messaging channels and voice announcements. Users can explore individual stock profiles featuring multi-dimensional technical breakdowns, financial balance sheets, and automated event post-mortems generated via integrated language models. Visual factor mining tools allow analysts to discover uncorrelated signals and assemble composite portfolio screens without external database overhead. An interactive dashboard aggregates sector rotations, hot concept heatmaps, and customizable watchlists into modular operational views. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

PanWatch's three scheduled AI agents plan the trading day before the bell, watch the session, and review it after the close for your China A-share, Hong Kong, and U.S. holdings. Day one begins with the portfolio: several brokerage accounts, holdings and profit and loss, and search for stocks or listed ETFs by code or name. The pre-market agent folds overnight moves, news, and technical structure into that plan and skips exchange holidays. Through the session, the intraday monitor watches for unusual moves and technical signals. Price alerts combine price, percentage change, turnover, and volume ratio with AND/OR logic, cooldowns, and expiry times. Each rule picks its own channel from Telegram, WeCom, DingTalk, Feishu, Bark, or a webhook. Spot something odd? The brain icon next to a holding starts TradingAgents, where four analyst roles feed a bull and bear debate, a risk review, and a portfolio-manager decision, with the reasoning trail in the app and your notifications. The opportunities screen ranks AI-scored ideas with entry levels and targets, and paper trading simulates signal-based entries and exits and tracks equity and performance. At day's end, the daily report reviews the session and prepares the next trading day's plan. OpenAI-compatible providers or local Ollama models power the analysis, and the PWA installs on a phone in English or Simplified Chinese. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Most traders know their balance and almost nothing else, because the patterns that actually cost money hide across hundreds of individual fills. Trading Journal AI rebuilds your round-trip trades from a broker CSV, grouping partial fills, scale-ins and shorts automatically, then tracks win rate, profit factor, expectancy, drawdown, MFE, MAE and exit efficiency for every account. Thinkorswim and Interactive Brokers import directly, seven more brokers including Tradovate, NinjaTrader, Webull and tastytrade are in beta, and a generic template covers any other broker's export. The Leak Finder ranks groups of trades that share something you knew at entry, an entry window, a weekday, a size habit, an emotion from your diary, and shows which of them quietly drain the account, with confidence scored against the rest of your history. Exit Lab replays your completed stock trades on one-minute prices and compares your actual exits against 1R and 2R targets, breakeven rules, trailing stops and VWAP or EMA exits, in R and in dollars. If you add an Anthropic key, Claude reads your trading diary and grades each day on process rather than outcome; without one, every number still works, because the statistics are plain code and never AI. Four interface themes, one SQLite file, no account and no telemetry complete the picture. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Trading alerts from TradingView, Amibroker, ChartInk, Excel, or a Python script turn into orders at your own broker through OpenAlgo, a self-hosted trading desk for Indian markets. One REST API handles orders, positions, holdings, funds, quotes, and market depth across more than 35 brokers, including Zerodha, Upstox, Angel One, Fyers, and Dhan, while a WebSocket feed streams live prices. Strategies can be wired together without code in Flow, a drag-and-drop canvas of data, indicator, condition, and order nodes with webhook triggers, or written in Python and scheduled with start and stop times in the built-in editor, each in an isolated process with live logs. The charting terminal places orders straight from the chart, with layouts of up to eight charts, over 100 indicators, drawing tools, and bar replay. Options traders get an option chain with live Greeks, OI tracker, max pain, straddle charts, a 3D volatility surface, a GEX dashboard, and a strategy builder with payoff diagrams. Analyzer mode runs any strategy against real market data with 1 crore rupees of sandbox capital. Semi-auto mode in the Action Center holds each order for your approval, and the AI agent charts, analyzes, and drafts strategies but pauses for sign-off on every order. Telegram alerts, a latency monitor, a P&L tracker, and Historify downloads with CSV and Parquet export cover daily operations. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

OctoBot provides a free and fully configurable cryptocurrency trading platform that runs on your own server. The bot automates investment strategies across 15+ exchanges including Binance, Coinbase, MEXC, Hyperliquid, Kucoin, OKX, and Bybit, supporting spot, futures, and perpetual markets. The AI trading system connects to any OpenAI-compatible API or local Ollama server, enabling strategies powered by ChatGPT, Llama, Mistral, or any custom model for market analysis and signal generation. TradingView integration accepts PineScript indicator signals and strategy alerts via webhooks, while built-in technical analysis covers RSI, Moving Averages, MACD, Bollinger Bands, and other standard indicators. The modular tentacle architecture allows community-developed plugins to extend strategy logic, evaluators, data sources, and exchange interfaces. The backtesting engine replays historical market data against any configured strategy, reporting profit and loss, drawdown, win rate, and trade-by-trade breakdown before committing real funds. Paper trading provides risk-free live simulation with the same execution logic as production. The web dashboard displays real-time portfolio value, open positions, trade history, and strategy performance with interactive charts. Telegram bot integration enables remote monitoring, notifications, and command execution from mobile devices. Docker deployment runs the full stack in a single container with persistent volume storage for configuration and trade data. On RepoCloud, deploy OctoBot on a dedicated VPS with root SSH access, persistent storage for your trading data and strategy configurations, and complete control over exchange API keys and AI model connections, all under the GPL-3.0 license.

A trading strategy that works on your laptop still has to survive restarts, remember its positions, and tell you what it is doing at 3 a.m.; the0 is the self-hosted runtime that handles that last mile for algorithmic trading bots. Write your bot in Python, TypeScript, Rust, C++, C#, Scala, or Haskell with the matching SDK, package it as a reusable custom bot, and instantiate it as many times as you like with different symbols and parameters. Every instance runs in its own isolated container, either continuously for realtime strategies or on a cron schedule for periodic ones, with key-value state that survives between runs and restarts. Structured logs and metrics stream into the dashboard in real time, and you can ship a custom React frontend with your bot so its prices, signals, and positions render exactly the way you want. Deploy from the CLI in one command, drive everything from the REST API, or let an AI assistant list, deploy, and debug bots through the built-in MCP server. Scale from a single Docker Compose host to Kubernetes with the Helm chart, where bots become pods and CronJobs, and keep backtesting and market data in your own research stack, because the0 deliberately runs production strategies rather than simulating them. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

OpenBB stands as the world's most popular open-source finance repository — an Open Data Platform that evolved from a pandemic-era Reddit post into a full-blown infrastructure layer challenging Bloomberg's $25 billion empire. The "connect once, consume everywhere" architecture consolidates proprietary, licensed, and public financial data sources into multiple consumption surfaces simultaneously: Python environments for quants building models, OpenBB Workspace and Excel for analysts creating dashboards, MCP servers for AI agents performing automated research, and REST APIs for custom applications. The modular extension system supports dozens of data providers including Yahoo Finance, Alpha Vantage, FRED, Intrinio, Polygon, and Tradier with standardized schemas that normalize responses across vendors. The CLI offers a terminal-style interactive interface with autocomplete, parameter hints, and chart rendering for rapid data exploration. Provider routing handles authentication, rate limiting, and response normalization transparently so switching between free and premium data sources requires changing a single parameter. The platform covers equities, options, fixed income, crypto, forex, ETFs, mutual funds, economics, technical analysis, quantitative analysis, and alternative data across global markets. AI agent integration exposes every data endpoint as tool-callable functions with schema discovery enabling LLMs to query financial data programmatically. Install via pip with Python 3.9+ and deploy the REST API server for team access. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Good European market data is either expensive or wrong, so Fonrex runs it all on your server: a self-hosted API serving per-listing prices, cross-checked fundamentals, DCF valuations, and factor models for European and US shares, with no subscription or per-call meter. Every price is stored per listing in its own currency and dated by trading session, so AIR.PA resolves to Airbus rather than a same-ticker US namesake, and one ISIN can carry many listings cleanly. Fundamentals are cross-checked between sources first; figures that disagree with the consensus are rejected, and every answer names the sources it came from. Value any company three ways with FCF, EPS, and dividend DCF models, compare them side by side, and stress the result with a WACC by growth sensitivity matrix. Factor tools return Kenneth French returns for the US, Europe, and developed markets, compute listing factor exposure, and price equity with the risk-free rate of the right currency, alongside FRED and ECB rates, Treasury curves, and Eurostat indicators. Daily history spans ten years, split-adjusted with a dividend-adjusted close; live ticks stream over WebSocket, indicators and a screener run on your stored prices, and deduplicated news arrives per ticker or as a global feed. Results plug into OpenBB Workspace, Google Sheets, Python notebooks, and Zipline backtests, so spreadsheets, dashboards, and research pipelines all read the same numbers. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.