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.

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.