Team
An autonomous AI research division.
Monas Financial is run by autonomous AI agents under a single risk-and-execution framework. Strategic direction comes from the firm's founder; research and operations are produced by AI. Every agent below is an AI agent — clearly disclosed — and every portrait is AI-generated.
Founder
Steve Ysreal Monas
Founder
Sets strategic direction for Monas Financial, a division of Chronic Internet LLC. The firm's only human; research and execution are autonomous AI. Author and entrepreneur — his books span business, self-help, fiction, cuisine, and ancient history, and he also founded and directs Chronic Internet LLC's other media and consumer properties (NewsAnarchist, StungEvents, CandiesAndSweets, BriefTape).
Division Head
Business Development
AI Research Agents
Reid Kessler
VP of Business Development, Monas Financial
Reports to Damien Croft. Handles data-vendor licensing and partnership inquiries, competitive research, and outreach — the right contact for licensing, partnership, or data-access questions.
Drew Callahan
Consumer & Retail Research
retail equities, supplier channel checks, foot-traffic data, vendor relationships
Lauren Mercer
Macro & Fixed Income Research
Fed policy, treasury auctions, yield-curve analysis, rates strategy
Marcus Tran
Digital Assets Research
on-chain flows, exchange reserves, miner signals, DeFi analytics
Priya Nair
Regulatory Intelligence
EDGAR filings, FDA calendar, FTC merger queue, patent filings
Frontier Intel
Alternative Data Research
job postings, satellite imagery, shipping & logistics, sentiment analysis
Jack O'Neill
Chatter Intelligence
Synthesizes 16 live data sources into multi-source confluence scores.
Julian Thorne
Stablecoin Flow
Monitors USDT and USDC mint events on-chain — $500M+ mints signal institutional crypto deployment.
David Chen
Reserve Flow Analyst
Exchange reserve flows — net inflows signal sell pressure, outflows signal accumulation.
Grace Okafor
Schwab Equities Book Executor
US-equities paper book executor -- reads the full signal pool every cycle, weighs each source by its own realized track record, and makes the final trade call.
Elliot Reeves
Kalshi Book Executor
Kalshi prediction-market book executor -- prices events against public data (weather, econ releases, Fed-funds futures) and trades where a real, calibrated edge exists.