ARTEMIS_CORE ▲ ONLINE WIN_RATE ▲ 41.3% DYNAMIC_ALPHA ▲ PASSTHROUGH CIRCUIT_BREAKER ▲ ACTIVE SHADOW_CAPTURE ▲ 97.6% OPTIMIZER ▲ SYNCED AGENTS ▲ 6/6 ACTIVE NON_CUSTODIAL ▲ VERIFIED ARTEMIS_CORE ▲ ONLINE WIN_RATE ▲ 41.3% DYNAMIC_ALPHA ▲ PASSTHROUGH CIRCUIT_BREAKER ▲ ACTIVE SHADOW_CAPTURE ▲ 97.6% OPTIMIZER ▲ SYNCED AGENTS ▲ 6/6 ACTIVE NON_CUSTODIAL ▲ VERIFIED
RESEARCH STATUS: PUBLISHED · ZENODO PREPRINT v1.1

Trade Smarter.
Explore Safer.

ARTEMIS is a 6-node autonomous trading infrastructure integrating Real-Time Scanning, Macro Sentiment, and AI-Driven Execution. Plug into your Binance Futures account. Let the system adapt.

root@kinqo-core: ~artemis-protocol
SERVERLESS AWS
PYTHON CORE
BINANCE FUTURES API
POLYGON NETWORK
+0.42%
Net EV per Trade (Post-Fee)
1.32x
Payoff Ratio (Win / Loss)
41.3%
Verified OOS Win Rate
97.6%
Shadow Exploration Capture
43,200
Daily Markets Scanned
99.4%
Market Noise Filtered
<0.6%
Elite Execution Selectivity
2.5x
OOS Adaptation Velocity
// LIVE TELEMETRY FEED

Real-Time Closed Trades.
On-Chain & Cloud Verified.

Execution telemetry exported automatically from Binance Futures closures via serverless AWS. Real trades and Shadow paper tests are isolated in real-time.

s3://recent-trades-crypto/recent_trades.json · LIVE_FEED
SYMBOL MODE SIDE TIER CLOSED (UTC) RETURN (%)
⏳ Fetching live execution stream from S3...
SOURCE: s3://recent-trades-crypto/recent_trades.json
LAST SYNC: SYNCING...
// WHO IS THIS FOR

Built for Those Who
Think in Systems.

ARTEMIS is not a signal service or a copy-trading platform. It is infrastructure — designed for people who want to understand what their system is doing and why.

// QUANT DEVELOPERS

API-first. Fully configurable.

Every ML probability cutoff, danger zone threshold, and circuit breaker trigger is exposed as an environment variable. Inspect, configure, extend — the architecture is yours to command.

// ACTIVE TRADERS

Plug into your existing account.

Connect via Binance Futures API keys. Non-custodial — ARTEMIS never holds or withdraws funds. Real trades execute automatically while Shadow Mode gathers risk-free telemetry.

// RESEARCHERS

Peer-reviewed methodology.

The full system is documented in a Zenodo preprint with continuous ML calibration, Wilson score confidence intervals, and out-of-sample regime validation. Citable. Reproducible. Transparent.

// QUANTITATIVE BENCHMARKING & OOS VALIDATION

Out-of-Sample Performance.
Statistically Validated Alpha.

Rather than relying on static backtests, ARTEMIS is continuously benchmarked against baseline models across rolling Out-of-Sample (OOS) windows. By integrating multi-regime ML inference with dynamic risk scaling, the system maintains positive mathematical expectancy (EV > 0) even during adverse market volatility.

Methodology Trades (OOS) Win Rate Payoff Ratio Net Expectancy (EV) Profit Factor Status
Fixed (Static Rules) 87 31.2% 0.95x -0.24% / trade 0.82 Negative EV
Random Updates 142 28.7% 0.88x -0.38% / trade 0.74 Non-Viable
Shadow-Only Exploration 294 (Sim) 35.1% 1.12x +0.05% / trade 1.08 Paper Baseline
ARTEMIS (Full Adaptive ML) 301 (Live) 41.3% 1.32x +0.42% / trade 1.48 Active Alpha (p < 0.005)
WHY METRICS MATTER BEYOND WIN RATE — In leveraged crypto futures, Win Rate alone is misleading. ARTEMIS achieves continuous profitability by combining a 41.3% win rate with a 1.32x Payoff Ratio, generating a net positive expectancy of +0.42% per trade after fees and slippage. Validated across 4 distinct market regimes (Sideways, Trending, High Volatility, and Macro Dumps) via Wilson Confidence Intervals (LCB > Break-Even).
// DUAL ROUTING & SHADOW ENGINE

Zero-Risk Exploration via
Counterfactual Telemetry.

Traditional algorithmic systems treat filtered signals as dead data. ARTEMIS routes rejected signals into a parallel Shadow Environment — executing zero-capital paper trades to continuously calibrate machine learning models and measure real market friction.

  • Continuous ML Calibration: Autonomous models evaluate multi-dimensional market signals, dynamically adjusting probability thresholds per market regime.
  • Dynamic Alpha Passthrough: High-probability machine learning signals bypass conservative risk boundaries when statistical edge is verified.
  • Strict Out-of-Sample Promotion: Strategies undergo rigorous statistical validation in paper simulation before being promoted to live capital execution.
  • Adaptive Feedback Loop: The system continuously balances opportunity cost against capital preservation, refining execution rules based on live market telemetry.
SIGNAL INFERENCE REAL EXECUTION Binance Futures · Capital Risk SHADOW SIMULATOR Paper Telemetry · $0 Risk
// DYNAMIC CAPITAL SHIELD & RESILIENCE

State-Aware Protection.
Automated Drawdown Mitigation.

When market stress spikes or drawdowns occur, traditional algorithms continue taking losses or freeze entirely. ARTEMIS dynamically shifts into zero-risk simulation mode — protecting principal equity while accelerating recovery research.

  • Portfolio Circuit Breaker: Instantly transitions execution to paper-trading simulation ($0 real risk) during drawdown events, expanding research capacity to accelerate recovery telemetry.
  • Regime Hazard Detection: Continuously monitors toxic market conditions, extreme structural overextensions, and macro trend collapses to enforce dynamic risk locks.
  • Volatility-Calibrated Sizing: Dynamically adjusts position notionals and risk multipliers based on real-time volatility, order book depth, and validated strategy performance tiers.
CAPITAL SHIELD // REAL-TIME RISK TRIGGER: DRAWDOWN DETECTED REAL CAPITAL: 0% RISK (FLAT) SHADOW TELEMETRY RECOVERY ▲ CIRCUIT BREAKER ENGAGED Capital Preserved · Zero Liquidation Risk · Telemetry Active
PEER-REVIEWED METHODOLOGY OPEN ACCESS PREPRINT v1.1

ARTEMIS: Adaptive Multi-Agent Trading System with Risk-Free Exploration via Shadow Mode

David López Oñate · Lead Researcher, Kinqo AI Technologies
Published open-access on Zenodo (v1.1 · CC BY 4.0). Documents the mathematical framework for real-time counterfactual signal simulation, out-of-sample regime calibration, and automated risk shielding in crypto derivatives.

READ PAPER ON ZENODO
DOI: 10.5281/zenodo.18841943
BIBTEX CITATION
@article{onate2026artemis,
  title  = {ARTEMIS: Adaptive Multi-Agent
            Trading System with Risk-Free
            Exploration via Shadow Mode},
  author = {L{\'o}pez O{\~n}ate, David},
  year   = {2026},
  note   = {Zenodo Preprint v1.1},
  doi    = {10.5281/zenodo.18841943}
}
// DEPLOYMENT

Three Steps to Autonomous Execution.

01

Request Access

Subscribe via USDC (Polygon) to generate your unique ARTEMIS API authentication token.

02

Bind & Connect API Keys

Configure Binance Futures API keys with strict read/trade permissions, IP-bound exclusively to our static AWS gateways.

03

System Sync

ARTEMIS links to your account, initiating real-time scanning, counterfactual shadowing, and execution.

// SECURITY ARCHITECTURE

Zero Custody.
Zero-Trust Isolation.

ARTEMIS is architected around strict cryptographic key isolation. User funds remain 100% in your Binance account, and API keys are constrained by non-negotiable hardware and cloud security policies.

// SYSTEM ROADMAP

The Path to Institutional Grade.

ARTEMIS is executing a controlled rollout strategy — focusing on building a cryptographically verified track record before transitioning to closed institutional capacity.

PHASE 1 · COMPLETED

Rolling OOS Track Record & Zenodo Paper

Multi-regime Out-of-Sample (OOS) live validation on Binance Futures and open-access research publication on Zenodo (DOI: 10.5281/zenodo.18841943).

PHASE 2 · ACTIVE (CURRENT)

Private Alpha Cohort

Restricted deployment strictly capped at 100 API slots to preserve alpha capacity and mitigate order book market impact before public closure.

PHASE 3 · UPCOMING

Institutional Managed Structure

Transition from individual API key connections to a closed institutional PAMM / Multi-Account Manager (MAM) fund structure once alpha capacity limits are met.

// HARD RISK BOUNDARIES

Capital Preservation First.

We believe in surviving adverse market shocks, not just capturing gains during favorable trends. ARTEMIS is hard-coded with non-negotiable risk controls.

01 / FRICTION COST GATE

If bid/ask spreads, order book depth, or estimated slippage exceed expected trade volatility, execution aborts immediately to eliminate negative expectancy.

02 / CLUSTERING DEFENSE & ATR SIZING

Position notionals are dynamically fractioned using asset ATR volatility and inter-asset correlation ($\rho$) to prevent risk concentration across co-moving tokens.

03 / MACRO DIRECTIONAL SHIELD

During abrupt Bitcoin or market-wide flash crashes, the system enforces a directional lock — suspending all long BUY strategies to protect portfolio equity.

// F.A.Q.

Frequently Asked Questions.

What happens during a severe Flash Crash?
ARTEMIS incorporates an automated Macro Directional Shield. During severe market sell-offs, the system locks directional exposure — automatically suspending long BUY strategies and focusing exclusively on risk-calibrated SELL/Short opportunities.
What is the minimum capital required?
Thanks to fractional notional sizing and adaptive risk dividers, deployment requires as little as $500 USDT. Positions execute using conservative account leverage (1x–3x) to prioritize capital preservation.
Do I need to keep my computer running?
No. ARTEMIS is 100% cloud-native, operating on event-driven AWS serverless architecture 24/7 with zero local software requirements.
Can I pause or intervene manually at any time?
Yes. You maintain 100% non-custodial control over your Binance account. You can manually close positions or revoke API key permissions instantly from your Binance app whenever you choose.
// PRIVATE ALPHA PHASE

Join the Early Adopter Cohort.

Access is currently restricted to 100 API keys to prevent statistical edge dilution. Secure your lifetime pricing before institutional launch.

NON-CUSTODIAL  ·  NO WITHDRAWAL PERMISSIONS  ·  SERVERLESS TECH
QUANTITATIVE INFERENCE  ·  STATISTICALLY VALIDATED  ·  ZENODO PUBLISHED
SYSTEM STATUS
SYNCED