Transform with AI.
Build your next edge.

We engineer methods such as DeMark, Wyckoff, VCP, Chan Theory, divergence, Bollinger Bands and trend strength into consistent calculations, screens and rankings based on closed bars. Deterministic code generates indicators and patterns; AI explains the calculated market state, its implications and what to watch next.

Every interpretation is linked to a data snapshot and prompt version, supporting testing, comparison, release and rollback. Individual methods become reusable, traceable research capabilities for the whole team.

Bring implied volatility across expiries and deltas, volatility smiles, term structures, Greeks and candidate contracts into one research view. Each experimental arm records its own assumptions, market data, rules and results. Parallel experiments are not added together as portfolio P&L.

All numbers are calculated by code. AI explains observations and suggests what to validate next. The framework can extend to FX and equity options, using consistent data, experimentation and review methods.

Strategy experiments run in simulation. No live orders are placed.

Continuously organize RSS and other sources by macro, central banks, crypto and AI, preserving attribution, original links and usage permissions. Downstream Agents can retrieve information by topic or keyword.

Where content rights are limited, the system exposes only permitted titles and links. The feed supports editorial research, investment research, market monitoring and internal knowledge work with verifiable external inputs.

Harness is the core framework for Agent execution. It manages task context, tool interfaces, execution rules and logs, bringing model reasoning, deterministic calculations, evidence citations and human review into an inspectable architecture. The model interprets tasks and selects tools; specialist modules provide reproducible data and calculations.

Like building blocks, capabilities can work independently, be recombined or run in parallel. There is no requirement to connect every use case in sequence. Existing research platforms, internal tools and workflows can connect through agreed interfaces, with the scope defined by data permissions, system constraints and project acceptance criteria.

Convert research ideas into structured strategy specifications. A deterministic engine runs backtests and calculates metrics; the model does not generate return figures. Data snapshots, strategy versions, run results, challenges and final conclusions are retained in a single evidence trail.

Acceptance criteria are frozen before execution. Out-of-sample data is locked by default and released by human decision, preventing repeated rule changes after results are known.

Backtesting and strategy validation run in simulation. No live orders are placed.