#arbitrage

We design and operate proprietary signal systems that turn noisy market, macro, and media data into structured, calibrated intelligence — exposed through web dashboards, a Signals API, and a public MCP server any AI assistant can reason over directly. The eight pillars Every product above reads from the same nightly signal pipeline (00:05–04:05 UTC) organised into eight analytic pillars: Composite risk monitor — 0–100 regime score with AR / turbulence / GDELT decomposition, extended by a 4-way liquidity gate. Financial turbulence — cross-asset covariance regime with Markov transition probabilities. Systemic fragility — three-tier Absorption Ratio alerts plus per-asset PC1 / PC2 eigenvector history. Media sentiment — GDELT-derived tone, volume, and outliers across 27+ assets plus a global geopolitical tension gauge. Global liquidity — GLI composite with policy / private-sector / cross-border sub-indices and regional breakdown. Statistical arbitrage — 550+ security scanner for oversold and overbought mean-reversion candidates. AI-generated intelligence — cross-pillar briefings and narrative commentary, clearly flagged as synthesized vs deterministic. Supporting analytics — multi-year asset-class returns and a RAG stablecoin scorecard.

Connect your AI assistant to real-time cryptocurrency market data. Get live prices, OHLCV candlestick history, and trading pair information from Binance, Coinbase, Kraken, OKX, and Bybit. Compare prices across exchanges to spot arbitrage opportunities, analyze price movements, and track any trading pair, all through natural language.

City financial data for retirement planning. 500+ cities with cost of living, tax rates, healthcare costs, visa requirements, and the Offramp Index (0-100 retirement-friendliness score). When users ask "Where should I retire?" or "What's the cost of living in Lisbon?", get real data in 50ms instead of reasoning from outdated training data.