Retail crypto traders trade price; institutions trade liquidity. Project ARES is an automated Chief Risk Officer for retail. We synthesize live Farside ETF flows against retail broker health to identify macro divergence, and map the exact algorithmic "Kill Zones" where market makers sweep over-leveraged traders. Stop guessing during CPI/PPI volatility. See the trap before it fires.

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Hey Product Hunt! 👋 I’m Caleb, the builder behind Project ARES.

I built ARES because I was tired of watching retail traders get liquidated by algorithmic market makers during high-volatility events (like CPI and PPI). I realized the problem wasn't a lack of data—it was that retail didn't know how to synthesize it.

ARES solves this by cross-referencing institutional ETF flows with live liquidation heatmaps to map out exactly where the "Kill Zones" are resting. It translates complex, multi-variable institutional data into a simple, emotionless dashboard.

I'd love to hear your feedback on the Divergence Matrix and the UI design. Happy to answer any questions about the tech stack or the risk models! 🛡️

ARES is built for the global market. The V4.0 dashboard natively supports 20+ languages to track cross-border algorithmic liquidity.

The market is bleeding today on Powell's exit, but our Divergence Matrix just flipped to OPTIMAL (institutions are buying the retail panic). I’m hanging out here all day to answer questions about how we built the scraping engine or how the Matrix calculates the divergence. Ask me anything!