Building internal-use tools for backtesting and visualization of algorithmic trade setups, with a focus on BTCUSDT derivatives and high-frequency 1-minute data.
We analyze high-frequency market structure to detect tradeable patterns with mechanical logic. → Fair Value Gaps, volume shifts, displacement candles, and more.
Historical setups are rebuilt using 1-minute data and annotated visually for real-time review. → See how setups evolve candle-by-candle and how signals play out.
We're working on an internal LLM-based agent to classify and rank trade setups across years of BTCUSDT data. → Pattern recognition at scale. Manual insight meets machine precision.
Precision tools for algorithmic trading workflows.
Our goal is to remove guesswork and build measurable systems grounded in data.
A modular data engine for slicing and comparing historical trade setups. Designed for systematic strategy validation and statistical insight. ContextOS powers the logic — ClarityX brings it to life.
A visual interface for exploring setup candidates in real-time.
Built on TradingView’s advanced charting library, ClarityX transforms raw data into actionable understanding.
who its for
Statistical validation meets modular design — backtest setup hypotheses with precision and control.
Bring structure to intuition. Spot clean setups faster and filter out noise using high-resolution data and real-time visual cues.
Build and iterate faster with data-first tools for evaluating entry logic, timing, and performance metrics.
Communicate complex ideas with clarity. Chart-annotated visual tools and session-based logic make insight delivery intuitive.