AI-Powered Trading Models

Our LoRA Models

Oculus Quant is powered by five specialized LoRA engines, each trained on a unique slice of market reality.
Together, they form a unified AI-driven trading system that analyzes price action, sentiment, regimes, and past trader behavior with unmatched precision. Individually they are powerful.
Combined, they create a single adaptive intelligence that constantly self-adjusts across all market regimes—without emotions, without bias.

This is the architecture behind Oculus Quant’s consistency.

sentiment LoRa

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Our Sentiment LoRA interprets global market sentiment by analyzing Twitter flow, macro news tone, liquidity behavior, and fear/greed cycles.It identifies moments when emotion drives price far from fair value — creating high-probability reversion or momentum setups.By turning chaotic sentiment into structured inputs, the model helps Oculus capture moves humans typically overreact to or completely miss.
Advanced trend-following model optimized for volatile market conditions. Utilizes adaptive volatility filtering and dynamic position sizing.

regime LoRa

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Our Regime LoRA continuously analyzes market structure to identify the current trading environment — trending, ranging, volatile, compressing, or reversing.It adapts the full system to changing volatility cycles and filters out low-quality environmen

Technical LoRa

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Our Technical LoRA ingests and structures the full market signal stack powering the execution layer — indicators, regime classifications, volatility states, and micro-structure metrics.
It standardizes feature construction, enforces strict causal alignment, and removes technical inconsistencies across timeframes.
Every signal is normalized, validated, and timestamp-correct before reaching downstream models.
This LoRA forms the technical backbone of Oculus Quant, ensuring precision, stability, and reproducibility across all live and research environments.Mean-reversion specialist for range-bound markets. Employs statistical arbitrage techniques with precise entry and exit timing algorithms.

Data analyst LorA

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Our Data Analyst LoRA processes the raw information powering the entire system — price data, sentiment inputs, volatility regimes, and all LoRA outputs.
It optimizes data quality, reduces noise, validates signal strength, and ensures every trade is based on clean, high-integrity information.
This LoRA acts as the backbone of Oculus Quant, continuously refining the data pipeline to keep the system accurate, stable, and consistent in all environments.Mean-reversion specialist for range-bound markets. Employs statistical arbitrage techniques with precise entry and exit timing algorithms.

Trader trainer LoRa

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Our Trader Trainer LoRA is built on thousands of historical trades, learning how successful positions behave across different market environments.It identifies subtle behavioral patterns, execution footprints, and timing structures that humans typically overlook.By continuously learning from both winning and losing trades, the model self-improves over time—refining entry precision, risk placement, and trade management to mirror institutional discipline.

This LoRA acts as the “experience layer” of the system, turning past performance into future optimization.