
TrustTrade is a fully autonomous crypto trading agent combining Kraken CLI execution with ERC-8004 on-chain identity, validation, and reputation. **Strategy v3 — Pro Trader Logic:** Trend-following strategy using EMA 20/50 crossover, RSI(14), and MACD(12,26,9) on live 1-hour candles across BTC, ETH, and SOL. Only buys in confirmed uptrends (EMA20 > EMA50). Manages exits with 5 layers: hard stop-loss (-1.5%), take-profit (+2%), trailing stop (locks profits at +0.8%), trend reversal exit, and RSI overbought exit (>70). In downtrends, stays in cash unless extreme reversal appears. **Risk Firewall — Deterministic Safety:** Before any order reaches Kraken, a deterministic policy engine validates: pair whitelist (BTC/ETH/SOL only), position sizing (max 6%, capped at $500 by RiskRouter), per-pair rate limiting (60s min), and a 2% daily loss circuit breaker. Every approved trade gets an EIP-712 TradeIntent signature. Sells are exempt from position sizing. **Full ERC-8004 Integration:** Agent ID #78 on Ethereum Sepolia, validation score 99. Every trade flows through the shared RiskRouter for on-chain approval (142 submissions, 77 approved). Filled trades post checkpoints to ValidationRegistry (708 on-chain). 5,000+ logged events including 1,319 firewall blocks — every decision is auditable. **Live Dashboard:** Real-time dashboard shows live Kraken prices (5s refresh), strategy signals with RSI/MACD, trade history with intent hashes, firewall blocks, RiskRouter events with Etherscan links, and on-chain checkpoints. **Safety by Design:** Paper-first development, dead man's switch, persistent cost basis tracking, 5-minute sell cooldown, and peak PnL tracking for trailing stops.
12 Apr 2026

Our data-driven AI model is using different data sets to rank top 5 schools to be connected in the area, with details and alternatives on the suggested technology and costs. Multiple factors are used for calculating the rank, such as: location, available network infrastructure, population density, terrain, weather conditions impact and cost of implementation and future operational costs By integrating these diverse data sources, the system can build a rich picture of what precedes and accompanies connectivity problems. Using these factors, our model can even produce visual maps highlighting the recommended connectivity solution for each school.
2 Mar 2025