Calibrasteme - Market Intelligence Daemon
Unified crypto trading intelligence: funding rate predictions with ML, options gamma exposure analysis, whale tracking, and solana meme token discovery.
Web3 Developer & Blockchain Developer
On-chain analytics · DeFi systems · Smart contracts
Blockchain infrastructure, on-chain analytics, and DeFi systems.
Unified crypto trading intelligence: funding rate predictions with ML, options gamma exposure analysis, whale tracking, and solana meme token discovery.
Real-time Polymarket whale & insider tracking with 11-factor scoring, Discord/Telegram alerts, leaderboards, and watchlists.
BSC token project with custom tokenomics and community-driven mechanics. Full website and branding.
BSC token with staking mechanics and reward distribution system. Built full frontend and smart contract integration.
Solana meme token with gamified mechanics. Designed and built the landing page and token launch infrastructure.
Real-time blockchain analytics and predictive models.
Demo uses sample data. Connect API keys for live data.
Technical deep-dives into the architecture and problem-solving approaches.
Unified market monitoring system combining funding rate predictions, options gamma exposure, whale tracking, and solana meme token discovery.
Manually checking 8+ sites every hour. Funding spikes noticed 6 hours late. Whale movements seen on X after dumps already happened.
Z-scores + ML capped at ±30%. Auto-fallback when Brier > 0.25
Deribit BTC options chain. Negative GEX = amplified volatility
$5M+ movements via Alchemy. Multi-wallet exchange flow detection
DexScreener scanning every 15min. Auto-tracks score >70
Real-time Polymarket whale & insider detection with 11-factor scoring, leaderboards, watchlists, and multi-channel alerts.
Polymarket's prediction markets attract sophisticated traders. Detecting smart money movements in real-time before information becomes stale.
Technical writings on blockchain and quantitative research.
How I built a system that watches BTC 24/7, classifies market regimes every 60 seconds, and tells the rest of the bot what's happening without touching a single order.
How I built an ML model to predict perpetual futures funding rates. The approach, the features, and what actually worked.
Not all big trades are smart money. Here's the 11-factor system I built to separate signal from noise.