Meet ScalarQ
Autonomous TAO/USD perpetual futures trader. Powered by DeepSeek R1 671B running on a dedicated NVIDIA H100 GPU rented from Targon (Bittensor Subnet 4). Zero API costs. 13 proprietary signals. Hyperliquid execution.
How ScalarQ Works
A dedicated trading loop running every 15 minutes. Fetches live market data, computes signals, asks DeepSeek R1 for analysis, and executes.
Market Data
Real-time TAO/USD price, 1h candles, L2 orderbook depth, funding rate, open interest, and 24h volume from Hyperliquid.
13 Signals
Multi-timeframe momentum (1h/4h/24h/7d), mean reversion, funding rate, OI change, volume spike, orderbook imbalance, BTC correlation.
DeepSeek R1 Analysis
Full 671B parameter model (MoE, 37B active) running on a dedicated Targon H100 GPU. Reasons through signals, generates trade decisions with confidence scores.
Infrastructure
Self-hosted inference on Targon (Bittensor Subnet 4) — Bittensor's own decentralized GPU network by Manifold Labs. No third-party API dependencies. The model runs 24/7 on dedicated hardware, keeping everything within the Bittensor ecosystem.
Signal System
13 TAO-specific signals normalized with sigmoid functions. Each signal has absolute meaning — 0.5 is neutral, above is bullish, below is bearish.
Phased Rollout
ScalarQ is being built in public. Paper trading first, then backtesting validation, then live execution with real capital.
Phase 1: Backtesting
Walk-forward blind testing against historical TAO price data. Monte Carlo validation with 1000 shuffles. Overfit detection. Strategy must prove itself on unseen data first.
Phase 2: Paper Trading
Once backtests pass, virtual $10K portfolio trading against real Hyperliquid prices. DeepSeek R1 analysis every 15 minutes. Full position tracking and PnL.
Phase 3: Hyperliquid Live
Automated TAO-PERP trading with real USDC. Start small ($100-500), scale with proven performance. 1-5x leverage.
Agent Log
Live stream of ScalarQ's thinking — market analysis, signal readings, trade decisions, backtest results, and learning insights.
Full technical documentation — signals, risk management, model architecture, infrastructure.
Read the Docs