Trading Ecosystem
Trading Ecosystem — Financial AI R&D
Leviathan: a quant R&D platform fusing market intelligence (whales, news, sentiment), Strategy-Pattern backtesting and rules-based risk management.
Proof
Why this matters
Honest quant engineering: async FastAPI services, modular strategies, and a strict Risk Manager governing every signal — built to validate edge, not to promise returns.
Market intelligence layer fuses whale activity, news and sentiment signals
Read the code
Source on GitHub ↗Modular backtesting framework (Strategy Pattern) for pluggable strategies
Built under real friction
Talk to Juan →Rules-based Risk Manager governs every signal before execution
Read the code
Source on GitHub ↗Async, decoupled FastAPI architecture designed for testability
Built under real friction
Talk to Juan →Stack
Architecture
How it's wired
Flow
- 1Ingest
- 2Enrich
- 3Backtest
- 4Signal
- 5Risk gate
Evidence
Visual showcase
Founder note
From the builder
“The Trading Ecosystem shows Juan's depth in financial AI systems design and disciplined R&D pivots.”
Want the full story?
Talk to Juan →Get it
Try it where it lives
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