Trade the Momentum.
Master the Spread.
"Stop trading blind. Flint bridges the gap between retail Sim and Institutional Edge."
Predictive
Modeling
Machine learning-driven forecasted price targets based on ICT liquidity cycles.
Advanced automated trading logic executing entries based on institutional bias and risk parameters.
Autonomous
Execution
Solana
Logging
Immutable trade logs on the Solana devnet for institutional-grade transparency.
Technical Documentation
Core Architecture
Flint is an autonomous ES futures trading terminal built by a team blending institutional ML experience and software engineering.
The Toaster Model
Our LSTM-based sequence model was trained on a decade of Databento CME data to forecast price dynamics at 1-minute resolution.
Strategy & Execution
The system operates in Autonomous Mode for automated PnL and Signals Mode for discretionary trader confirmation.
Simulation Rigor
We simulate live conditions by hiding future dataframes, forcing the agent to trade solely on historical context.
Transparency Protocol
Leveraging Solana, Flint records intents on-chain, providing an immutable audit trail to prove signal validity.
Risk Parameters
Reward functions are tuned to penalize inactivity while discouraging low-quality entries to find a genuine edge.