Browse live Polymarket and Kalshi markets, open one, and see the venue's book beside the engine's own read: every strategy's verdict, the model's fair value, the bookmaker line. One click takes the Helm.
https://t.co/li7m56m4KH
Our refactored GBoost Viper is close to finding edge in the noise:
yesterday: 13 trades mean -5.11% win 0.385
now: 15 trades mean -2.49% win 0.467
7 take-profits, 8 stops, 0 settlements
Look at betmgm and betus: identical decimal odds of 3.100, but overrounds of 1.0896 versus 1.0549, so their de-vigged probabilities differ by nearly a full point (0.2960 vs 0.3058).
Some good news, my gboost refactoring was deployed this morning to our production real money host. It made its first trade and it was a gain. Clearly one trade does not a trend make, but I'm ready to push a commit for the gboost viper today for you all to try.
While we netted a minuscule profit this weekend, the real benefit is what we learned about these trades, fee structure, entry/exit. All of this goes right back into R&D for Viper strategy improvement.
DRADIS trading automation for #polymarket and #kalshi now supports #MCP for AI.
Query your running deployment from any client that speaks MCP — 12 read-only tools covering positions, trades, P&L, raptor telemetry and the AI advisor audit trail.
https://t.co/JcmtaHcU9H
DRADIS now supports 3 levels of AI Trading automation for Polymarket. Use a bundled ollama/mistral for local LLM or use your favorite external LLM provider. #polymarket
DRADIS #polymarket AI trading platform now offers three out of the box risk profiles. Each can be overridden and customized to your personal preference.