UP
Directional long-bias classifier. Probabilistic up-move signal across horizons.
Deep Beta Technology LLC delivers advanced analytics, rigorous backtesting on financial products, and enterprise-grade AI solutions. Thirteen specialized machine-learning models — UP, BREAKOUT, REGRESSION and ten more — score every asset every bar, routing signals through constrained risk management and a state-of-the-art execution layer.
Each model is independently trained, walk-forward validated, and ranked by Sharpe / Calmar / Drawdown / Return.
Directional long-bias classifier. Probabilistic up-move signal across horizons.
Range-expansion detector with regime gating and volatility scaling.
Continuous return forecast — calibrated for portfolio sizing.
Short-horizon reversion in equities, FX and indexes.
Cross-sectional and time-series momentum across universes.
Persistence model fed by price, volume and macro features.
Volatility state classifier driving leverage and gating.
News & social sentiment encoder for event-driven alpha.
Pre/post earnings drift with surprise and guidance features.
Rates, DXY, credit and liquidity overlay across all assets.
Statistical arbitrage on cointegrated baskets.
Implied-vol & flow signals where derivatives data exists.
Stacking layer that combines the 12 specialists into the production signal.
From US large-cap to Asia-Pac and crypto majors — one feature pipeline, one risk book.
S&P 500 and NASDAQ constituents · ETFs · sectors · top indexes.
KRX (Korea), JPX (Japan — TSE / OSE), HKEX (Hong Kong) — equities & indexes.
FTSE products, ETPs and listed structured instruments.
SPX, NDX, DXY, FTSE, Nikkei, HSI, KOSPI — index futures and CFDs.
Energy, metals and agriculturals — futures & CFD instruments.
Majors and crosses — G10 plus selected EM pairs.
BTC, ETH and top liquid pairs — spot and perpetuals.
Leveraged equity products and contracts-for-difference where licensed.
Features are generated in major parts and fused before any model sees a bar.
Multi-timeframe returns, realized vol, order-flow proxies, gap statistics, range expansion and breadth.
Earnings surprise, guidance deltas, revisions, valuation z-scores, calendar proximity.
Rates, curve shape, DXY, credit spreads, liquidity and global risk-on/off regime tags.
Headline embeddings, event tagging, central-bank calendars, geopolitical shock flags.
News sentiment, social signal, options flow, ETF creations/redemptions where available.
Cross-asset correlations, lead-lag features and basis between spot / futures / CFD.
Each layer is independently testable and replaceable.
Tick / bar / fundamentals / macro / news ingest → versioned feature store with point-in-time correctness.
Specialists trained per family, walk-forward and purged-CV validated.
Ensembling, regime gating, signal calibration and conviction scoring.
Horizon, sizing, holding-period and universe rules — per-asset and portfolio.
Organization-specific constrained RM (mandate / exposure / liquidity caps) plus standard RM (VaR, drawdown, vol-target, correlation, stress).
SOTA execution with adaptive scheduling, slippage modeling, smart routing and venue selection.
Live drift detection, kill-switches, circuit breakers and post-trade attribution.
Validation-window aggregates across the production model family. Indicative — past performance is not a guarantee of future results.
Deep Beta Technology LLC is a technology firm delivering advanced analytics, backtesting on financial products, and AI solutions to enterprises. Our research, risk and execution stack runs end-to-end on our internal "Brainy" platform with a 13-model machine-learning engine for global cross-asset markets.
Note: DeepAlpha was a previously cooperated organization and is no longer associated with Deep Beta Technology LLC. Current entity: Deep Beta Technology LLC. Web: www.deepbeta.com · deepbeta.mn.
Nyam-Ochir Bold — quant researcher and engineer leading Deep Beta Technology LLC.
Live monitoring, backtests, model rankings and portfolio aggregation across all DeepBeta universes.