ArcAlphaArcAlpha
ArcAlpha
Autonomous AI Trading System

Markets, watched by an all-seeing eye

ArcAlpha runs a fleet of independent AI agents that analyze, decide, and trade across US, Korean, and crypto markets — governed by multi-LLM intelligence and hierarchical risk control.

13+

AI/ML systems

8+

Trading strategies

3

Markets unified

24/7

Autonomous operation

Platform

Built for autonomous markets

Every layer — from intelligence to execution — is designed to run continuously, safely, and without a human in the loop.

Multi-LLM Intelligence

Gemini, OpenAI, and Anthropic are routed per task — analysis, decisioning, and self-reflection — through a Mixture-of-Experts orchestrator.

Autonomous Agents

Each asset is managed by an independent worker running its own analyze-decide-execute cycle with checkpointed state.

Multi-Market Coverage

US equities, Korean stocks, and crypto — unified under one risk and execution layer.

Hierarchical Risk Control

Layered guardrails from per-agent limits to portfolio-wide exposure caps, wash-trade handling, and leader-locked execution.

Competition & Evolution

Agents compete in performance tournaments; top performers earn more capital while underperformers are paused automatically.

Real-Time Autopilot

Dynamic strategy allocation adapts to market regimes, with live monitoring across every worker and portfolio.

How it works

One loop, running without you

Every agent repeats the same disciplined cycle around the clock — fetching fresh data, reasoning over it, acting, then saving its state so nothing is lost on restart.

01

Analyze

Each worker pulls cached market data and news every cycle, then routes it through a Mixture-of-Experts panel and a financial RAG layer for context.

02

Decide

Gemini, OpenAI, and Anthropic are selected per task to produce a decision with an explicit confidence score — with a rule-based engine as fallback.

03

Execute

Approved orders are routed by the OrderManager to the right brokerage, with position sizing, leverage caps, and day-trade rules enforced first.

04

Checkpoint

State is written to MongoDB after every cycle through a 9-state machine, so workers recover exactly where they left off after any restart.

Intelligence

An intelligence stack, not a single model

ArcAlpha layers specialist reasoning, retrieval, simulation, and learning systems behind every decision.

Mixture of Experts

Four specialists — macro, fundamental, quant, and sentiment — are weighted and aggregated per task by an expert router.

Financial RAG

Filings, earnings, news, and research are embedded into a vector store and retrieved to ground each decision in real context.

Market Regime Detection

A statistical model classifies the market into bull/bear and stable/volatile regimes so strategies adapt to conditions.

Monte Carlo Simulation

Thousands of simulated paths estimate Value-at-Risk, expected shortfall, and stress outcomes before capital is committed.

Reinforcement Learning

A PPO agent learns from a rich state space to refine trade timing and sizing over time.

Evolution Tournaments

Agents compete in performance tournaments with a Hall of Fame; winning traits propagate while weak ones retire.

Coverage

Three markets, one control layer

Unified data, execution, and risk across every venue ArcAlpha trades.

US Equities

Live US stock and ETF trading through Alpaca, with real-time quotes and order routing.

Korean Equities

Direct access to KOSPI and KOSDAQ via the Korea Investment & Securities API.

Crypto

Round-the-clock trading across major cryptocurrencies on a cash, non-marginable basis.

News & Macro Data

Sentiment and signals from Finnhub, NewsAPI, and FRED macro series feed every analysis.

Risk

Institutional-grade risk, enforced automatically

Guardrails sit between every decision and the market — no trade reaches a broker until it clears them.

VaR & Expected Shortfall

95% and 99% Value-at-Risk and CVaR quantify tail risk continuously.

Drawdown & Concentration

Live max-drawdown tracking and Herfindahl concentration limits keep exposure balanced.

Smart Position Sizing

Kelly-criterion and volatility-based sizing scale every position to conviction and risk.

Leverage & PDT Caps

Hard leverage ceilings, single-position limits, and pattern-day-trader rules are enforced.

Emergency Stop

A breach of any limit triggers immediate position closure across affected agents.

Synthetic-Data Guard

Live trading is blocked the moment mock or synthetic data is detected in the pipeline.

Strategies

A strategy for every regime

Allocation shifts dynamically as conditions change.

Profit Maximization

Dynamic stop-loss and take-profit bands that adapt to volatility.

Momentum Scalping

Tight targets and short holds that ride intraday momentum.

Evolving Profit

Risk parameters that learn and adapt from realized outcomes.

Ultra Scalping

High-frequency execution for fast, small, repeatable gains.

Statistical Arbitrage

Pairs trading and mean reversion on co-integrated assets.

Rule-Based Fallback

A deterministic engine that keeps trading when LLMs are unavailable.

ArcAlpha

Let the agents run the desk.

Sign in to the control room — monitor every worker, strategy, and position in real time.

ArcAlpha

ArcAlpha · AI Trading System

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For informational and operational use only. Not investment advice.