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AI TIME-SERIES FOUNDATION MODEL SPECIFICATION

Quant Price Projection & Kronos Candlestick AI

Conventional forecasting algorithms output static, single-point price targets. Quant Price Projection utilizes Kronos—a specialized financial candlestick foundation model—to simulate multi-candle forward trajectories, complete with high/low bounds, body proportions, and probabilistic expansion envelopes.

1. Autoregressive Candlestick Tokenization

Kronos tokenizes financial time series not as raw scalar values, but as full 4-dimensional geometric vectors: normalized Open, High, Low, and Close (OHLC) values relative to rolling ATR.

// Token Vector Representation:
Candle_t = [ (Open_t - Close_(t-1))/ATR, (High_t - Open_t)/ATR, (Open_t - Low_t)/ATR, (Close_t - Open_t)/ATR ]
Trained on multi-decade tick sequences across Forex, Crypto, and Index futures.

2. Probabilistic Volatility Cones & Scenario Fan Charts

No single forecast can be 100% certain in financial markets. Kronos runs Monte Carlo forward rollouts across hundreds of sample paths to create a Probabilistic Volatility Cone:

  • Median Path (50th Percentile): The central expected drift based on current momentum and volume profile structures.
  • Optimistic Boundary (90th Percentile): Bullish breakout trajectory if resistance breaks with institutional follow-through.
  • Pessimistic Boundary (10th Percentile): Invalidation trajectory where liquidity traps reverse against prevailing trend.

3. Multi-Timeframe Projection Horizons

Traders can generate projections across 1-minute, 5-minute, 15-minute, 1-hour, and daily candles. The engine dynamically accounts for session liquidity transitions (e.g. London / New York overlap and Indian market opening bells) to calibrate volatility expansion parameters.

Generate Multi-Candle AI Projections Today

Explore neural multi-step candlestick simulations on Bitcoin, Gold, and global instruments inside Kronos Forecaster.

Launch Kronos Forecaster →