The Telegram Sentinel & Bayesian Risk

one-tap execution & risk throttling

Published: 2026-07-17  |  Project: Bet Bodhi  |  Discipline: Quantitative Engineering & Microstructure

Author: Nicholas Alexander MacAskill — Founder & CTO, Flocano Labs  |  Canonical: https://www.nicholasmacaskill.com/dossier/bodhi-telegram-sentinel

time_to_execute
<1_second
Verified Invariant
sentiment_risk_throttle
0.5x (stressed)
Verified Invariant

1. Unified On-Chain Execution via Telegram

With all venues wired up, we built a fully interactive Telegram execution pipeline to control them. When a nightly scan completes, Bodhi generates a report that dynamically lists the exact execution price for every available platform, visibly highlighting the absolute best price across the ecosystem with a gold medal (🥇).

Crucially, the scanner saves the full cryptographic payloads (the raw order hashes and API data) into a local \latest_picks.json\ state file. The user can simply send the \/pick best\ command. The moment that command is sent, the bot routes the saved payload through the Multi-DEX Router, and submits the transaction directly to the correct blockchain. Smart contract slippage protection guarantees native security against stale odds.

2. Sentiment-Adjusted Kelly Sizing

Bodhi doesn't just tell you where to execute, it calculates exactly how much capital to deploy based on real-time on-chain data. Before generating the report, Bodhi natively checks the live USDC balance. It then uses a Fractional Kelly Criterion formula to calculate a precise stake based on the edge.

This mathematical sizing is dynamically throttled by a psychological Sentiment Guard built into the Telegram bot. If the user reports feeling "stressed" with a low calmness score, Bodhi's Bayesian engine applies a risk multiplier (e.g., 0.5x), automatically cutting the Kelly-suggested execution stake in half to protect the bankroll from emotional variance.

SIGNAL_DETECTED:"system online // first dossier lesson logged"//TARGET:sovereign layer////////////////////////
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