Cloud accounting software that automates bookkeeping, invoicing, and financial reporting for small and growing businesses.
DeadCatFound
FreeStarting price
0Popularity
About DeadCatFound
DeadCatFound provides a local-first trading desk called The Floor that runs entirely on the user’s machine without requiring sign-ups or API keys to be shared with external servers. The platform is designed for paper trading only, using real market data with fake money to avoid real financial risk. It offers a sandbox environment where users can compose trading strategies, run AI agents, and backtest systems using tools like Claude Code, Codex, or local LLMs such as Ollama. The Floor includes features like a strategy builder, desk assistant, and performance tracking, all without dependencies beyond Python’s standard library and SQLite. The platform also hosts educational courses on AI-driven finance, risk management, and operational security, with all content accessible without an account. Live performance metrics, including losses, are published daily for transparency, and users can run their own autonomous trading firm in a controlled environment. The approach combines machine learning with disciplined risk management, emphasizing data-backed decision-making and adaptive learning.
Key features
- Local execution of trading strategies
- Strategy Builder for composing playbooks
- Desk Assistant for AI-driven research
- Real-time performance tracking and reporting
- Daily publication of live paper-trading results
- Educational courses on AI, risk, and security
- Zero dependencies beyond Python standard library
- Sandbox environment for backtesting and testing
Use cases
- Building and testing AI-driven trading systems locally
- Learning AI prompt engineering for finance applications
- Running a paper-trading firm with transparent performance metrics
Pros
- Local-first architecture with no server dependencies
- Paper trading only, eliminating real financial risk
- No sign-up required for basic use
- Supports multiple AI models (Claude, Codex, Ollama)
- Daily publication of live performance metrics including losses
Cons
- No real trading capability, only paper trading
- Requires local machine execution, not cloud-based
- Premium subscription needed for advanced features
- No mobile app beyond Android beta
Frequently asked questions about DeadCatFound
What is DeadCatFound and what does it do?
DeadCatFound provides a local-first trading desk called The Floor that enables paper trading using real market data with fake money. The platform runs entirely on the user’s machine without requiring sign-ups, API keys, or external servers, and includes features like strategy building, AI agent execution, and backtesting.
Who is DeadCatFound suitable for?
The platform is designed for individuals interested in learning AI-driven finance, risk management, and trading without financial risk. It suits both beginners seeking educational content and experienced users looking to test trading strategies in a sandbox environment.
How does DeadCatFound handle pricing and subscriptions?
The Floor itself is free to use with no sign-up required, and all educational courses are accessible without an account. Premium features related to The Floor are optional and may require separate enrollment.
Does DeadCatFound require any integrations or dependencies?
The Floor operates with zero dependencies beyond Python’s standard library and SQLite. It does not require API keys to be shared with external servers, and no integrations are necessary to use the core functionality.
What are the limitations of using DeadCatFound?
The platform is strictly for paper trading and cannot place real orders, ensuring no financial risk. It assumes users are comfortable running software locally and does not provide brokerage services or financial advice.
How can I get started with DeadCatFound?
Users can download The Floor directly from the website and run it on their device without signing up. Educational courses can be accessed and enrolled in without an account, and progress tracking is optional.
