Skip to content
Early access: trades are simulated with virtual money. Real-money trading opens in each country once regulators and brokers approve.
AlgoNexus
…
Neural Engine

Our own model. It learns from its mistakes — carefully.

AlgoNexus runs its own open-weights language model, fine-tuned for the markets we serve. Quantitative models, a portfolio optimiser and a deterministic risk engine sit around it, and the model can never place an order on its own.

Daily learning loop

Automated learning. Gated releases.

Daily returns are noisy, so we automate data, training and evaluation — but a new model goes live only after it proves itself out of sample. Read the AI transparency statement for its limits.

  1. 01New dataFilings, results, regulator circulars and market data.
  2. 02Quality and licensing checksBad or unlicensed data is dropped before training.
  3. 03Outcome labelsWhat actually happened after our own past predictions.
  4. 04Fine-tuneLoRA / preference tuning on on-demand GPUs.
  5. 05Evaluation gatesMust beat the current model and simple baselines, net of costs, with no worse drawdown.
  6. 06Shadow runRuns on paper alongside production before any user sees it.
  7. 07Human approvalA named reviewer signs off the release.
  8. 08Canary with rollbackA small share first; automatic rollback on regressions.
Architecture

Layers of the engine

Research model

Reads filings, results, circulars and news; produces structured, cited analysis.

Quant models

Momentum, volatility, factor exposure and regime estimates with calibrated probabilities.

Portfolio optimiser

Turns signals and your policy into position sizes and rebalances.

Decision policy

Combines signals, confidence and disagreement; abstains when evidence is weak.

Risk gate

Deterministic, model-independent, fail-closed checks on every order.

Execution quality

Learns slippage and fill behaviour per broker and venue.

risk_gate.evaluate(order=ord_7Hq2 · BUY 12 MSFT)
  • ✓Kill switchoff
  • ✓Market hoursNYSE open
  • ✓Quote freshness0.6 s ≤ 5 s
  • ✓Buying power$6,420 ≥ $5,174
  • ✓Position cap8.9% ≤ 10%
  • ✓Cash reserve6.1% ≥ 5%
  • ✓Duplicate ordernone in 60 s
  • ✓Policy versionv7 (signed)
verdictAPPROVED · 4.1 ms

Start on paper. Go live only when you’re ready.

Set a goal, see whether it’s realistic, and watch AlgoNexus work with simulated money first. No card needed for the 14-day trial.

    Neural Engine — our own model, with gated releases · AlgoNexus