Autonomous RL LLM Agent for High‑Frequency Trading
Standora fuses reinforcement learning with large‑language‑model reasoning to plan, execute, and adapt across volatile markets in milliseconds.
Live metrics: PnL · Sharpe · DD · Latency
Features you actually need in production
Focused on speed, stability, and capital preservation—without sacrificing adaptability.
Latency-First Core
Sub-10ms decision loops with pinned cores, prewarmed models, speculative execution and micro-batching.
RL LLM Planner
LLM proposes intents; RL policies score actions under strict risk/latency budgets.
Execution & Risk Layer
Depth/volatility/latency-aware fills, partial fills and circuit-breakers with JSONL decision logs and immutable decision records.
Paper & Sandbox Gateways
Safe dry-runs on Binance/Bybit testnets before production; promote only on objective stability windows.
Deterministic Backtests
PTP-synced timelines, reproducible replays, versioned datasets and JSONL decision logs.
Ops Console
A control panel for sessions, device pinning, risk knobs, kill-switches and live telemetry.
Evaluation & Reports
Walk-forward analysis with embargo and PDF tearsheets covering PnL, Sharpe, drawdown and latency distributions.
Hyperparameter Sweep
CPU-friendly random/grid sweeps with ranked summaries and gates.
Data Router & Collectors
CSV/Parquet and ccxt collectors, raw/live modes and feature verification guards.
Signal Fabric & AI-Core
Feature store with classical/learned indicators and ai_core signals; regime-aware mapping and adapters.
Strategy & Regime Controller
PPO, SAC, TD3/TQC with adaptive rewards/risk clamps and safe promotion.
Auditability & Compliance
Immutable logs, JSONL decision logs, reproducible backtests and policy promotion via canary/shadow windows.
How It Works
LLM planning → RL policy execution → safe online adaptation under strict latency & risk budgets.
Market Ingestion & Retrieval
Streams: L2 order-books, ticks, klines; macro/event feeds. LLM retrieves context windows (venue state, volatility regime).
Feature Store & Indicators
Classical (RSI/MACD/BB), learned latent factors, microstructure (imbalance, queue dynamics). Synthetic labels keep features fresh.
LLM Planning
LLM proposes intents (accumulate/flip/hedge/flat) with constraints. Hypotheses go to the RL policy layer for scoring.
RL Policy & Risk Budget
Policy head scores actions under limits: max exposure, VaR budget, latency target, inventory constraints.
Execution Engine
Router batches orders, simulates slippage, routes per venue. Co-location optional with micro-burst cancellation.
Safe Experimentation
Run paper/sandbox dry-runs on testnets with the same risk and execution rules. Promote only when stability gates pass.
Safe Online Updates
Off-policy updates with replay buffers and anomaly filters. Canary then shadow before production promotion.
Monitoring & Reports
Latency tracing, JSONL decision logs, PDF performance packs. Alerts fire on drift, liquidity, or anomaly spikes.
Case Studies
Selected scenarios showing how the agent behaves under stress and regime shifts.
Crypto Volatility 2024
During a 20% BTC shock in hours, agent switched to ‘latency-adaptive’ mode, tightened risk budget, and preserved capital with micro-hedges.
Forex Flash Window
EUR/CHF spike: router throttled exposure, favored deeper venues; partial fills reduced slippage by ~18% vs naive baseline.
Earnings Season Alpha
LLM event planner filtered false positives and limited position time-in-market during high spreads.
DeFi Liquidity Crunch
Position sizing adapted to pool depth; circuit-breakers paused risk-on until spreads normalized.
Who We Serve
Purpose-built for institutional execution and research workflows.
Institutional-grade execution across volatile digital assets. Venue-aware routing, depth/latency-sensitive fills, configurable risk caps and audit-ready JSONL decision logs.
Custom RL policies per symbol/venue with regime-aware rewards. Fast iteration via paper/sandbox dry-runs, sweeps and reproducible backtests.
Signal and execution infrastructure with compliance-friendly risk layer. Plug-and-play router integration, reporting packs and client-side analytics.
Infrastructure
Hybrid cluster engineered for low latency and high throughput—supporting offline training and safe online learning.
GPU Fleet
45× NVIDIA A100 40GB (NVLink) for distributed RL + LLM fine-tuning; burst pools A40/V100/H100.
Orchestration
Kubernetes + Ray for elastic rollouts; priority lanes for live; backpressure for research queues.
Serving
Triton/ggml backends; quantized heads for low-latency; blue/green + canary/shadow pipelines.
Data Fabric
Parquet/Feather lake; catalog + lineage; Kafka/Redpanda streaming; deterministic replay for backtests.
Networking
100GbE, kernel bypass (DPDK) where available; PTP for microsecond time sync; venue co-location options.
Storage & Checkpoints
Object store with versioned checkpoints; rollback at any point; tiered replay buffers (hot/warm/cold).
Observability
Metrics, traces, logs unified; Grafana-like dashboards; structured JSONL decision logs for audits; SLOs/SLAs.
Security
RBAC, key vault, TLS everywhere, signed artifacts; SBOM and dependency scanning CI.
Compliance
We align with global best practices; Standora is a software platform, not a broker or advisor.
Regulatory Posture
Software platform for research/execution; requires user’s own brokerage/venue accounts and approvals.
Frameworks
SOC 2 Type II posture, ISO 27001 alignment, GDPR principles; data minimization and encryption in transit.
Risk Controls
Exposure caps, drawdown locks, warm-ups, anomaly halts; pre-/post-trade checks and liquidity filters.
Auditability
Immutable logs, versioned datasets, reproducible backtests; exportable PDF and JSONL decision logs for review.
Market Rules
Guidance for MiFID II/ESMA, SEC/FINRA, FCA, MAS contexts; stress scenarios and kill-switch procedures.
Technical FAQ
Deeper answers for quant engineers, infra operators, and compliance teams.
How do you maintain latency budgets?
Pinned CPU cores for hot paths, GPU-accelerated inference heads, prewarmed models, speculative execution, and PTP-synced clocks over 100GbE.
What does reward shaping look like in production?
Multi-objective rewards (PnL, volatility penalty, slippage, drawdown/var breaches). Regime-aware weights adapt per asset and microstructure.
How is safety enforced in live trading?
Circuit-breakers, exposure caps, session warm-ups, anomaly halts, and canary/shadow deployments. Deterministic backtests and immutable JSONL decision logs.
Can I customize policies?
Yes—per venue/symbol/timeframe, with risk budgets and activation conditions. Policies can be swapped or blended based on observed regimes.
What is the execution bridge?
A pluggable engine that simulates depth, volatility and latency, supports partial fills and routes orders per venue under risk rules.
How do risk rules work?
Configurable exposure caps, drawdown locks, spread jumps, gap/liquidity guards and loss-streak brakes, with JSONL decision logs for audits.
How do you evaluate safely?
Walk-forward analysis with embargo and reproducible backtests. PDF tearsheets track PnL, Sharpe, DD and latency distributions.
Can I try it without going live?
Yes. Use paper and sandbox gateways with the same execution/risk layer before production promotion.