Hostile by Nature.
Mastered by Mathematics.
A self-evolving quant protocol engineered to survive and extract alpha from predatory crypto markets. Powered by continuous machine learning, order-book cost gates, and trajectory-driven exits on Binance Futures—cryptographically proven on X.
Empirical Alpha Trajectory.
Real Capital vs. Counterfactual Telemetry.
Historical cumulative alpha trajectory across audited production executions from the TradeClosures ledger and real-time S3 stream. Validated production alpha is routed to REAL capital execution on Binance Futures, while candidate iterations run in parallel SHADOW zero-risk telemetry.
| SYMBOL | MODE | SIDE | TIER | CLOSED (UTC) | RETURN (%) |
|---|---|---|---|---|---|
| ⏳ Fetching live execution stream from S3... | |||||
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.
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.
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.
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.
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, calibrating regime probabilities and Wilson UCB confidence bounds.
- Non-Negotiable Risk Primacy: Statistical edge is extracted strictly within safety boundaries; predictive ML models never override hard friction gates, context blocks, or volatility shields.
- 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.
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.
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) | 49 (Live) | 46.9% | 1.32x | +0.32% / trade | 2.38 | Active Alpha (p < 0.005) |
Isolated margin mode per position with dynamic anti-liquidation cap, preserving collateral during ±20% intraday volatility.
Passive Post-Only routing slashes fee drag by ~70% (0.02% vs 0.09% Taker), adding +20% to +30% net annual PnL.
Automatically ratchets Stop Loss to entry + 0.04% fee buffer once MFE clears 75th percentile of historical losers ($0 real risk).
Immediate unconditional market closure if adverse trajectory reaches -0.50%, eliminating flash-crash tail risk.
Active trajectory audits commence at minute 3, preempting runaway adverse drift via Smart Exit decay models.
Read/Trade Binance API keys only. Automated security gateway permanently severs keys with withdrawal permissions enabled.
[ ⚡ TECHNICAL DEEP DIVE ]
6-Node Autonomous Cloud Topology & Microservices
EXPAND ARCHITECTURE ▾
ARTEMIS operates as a decentralized mesh of 6 specialized AWS serverless microservices. Every market pulse is ingested, filtered against predatory friction, validated through multi-regime statistical inference, and cryptographically recorded.
Market Breadth & Friction Audit
Continuously scans 300+ Binance Futures books, filtering toxic spread, low volume, and structural anomalies.
Multi-Regime Probability Engine
Evaluates polynomial features & rolling cutoffs calibrated against out-of-sample break-even probabilities.
Macro Directional & Flash Shield
Detects sudden BTC macro drops and hazard states, enforcing directional locks and dynamic ATR position dividers.
Asymmetric Execution & Routing
Prioritizes passive Post-Only GTX limit orders (0.02% fee) with sub-second fallback, slashing taker drag by 70% and boosting net PnL.
Trajectory MFE & Breakeven Lock
Monitors live trajectories from minute 3 to 14, locking capital at statistical breakeven (P75 MFE + fees) and cutting impulse decay.
Audit Ledger & Cryptographic OTP
Exports trade closures to S3, publishes commit-reveal OTP hashes on X, and retrains cohorts autonomously.
Peer-Reviewed Methodology.
Cryptographically Verifiable Alpha.
Unlike commercial black-boxes, ARTEMIS combines formal academic publication with cryptographic commit-reveal verification. Inspect our peer-reviewed preprint on Zenodo or decrypt any live signal hash independently.
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.
@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}
}
Three Steps to Autonomous Execution.
Request Access
Subscribe via USDC, USDT, BTC or LTC to generate your unique ARTEMIS API authentication token.
Bind & Connect API Keys
Configure Binance Futures API keys with strict read/trade permissions, IP-bound exclusively to our static AWS gateways.
System Sync
ARTEMIS links to your account, initiating real-time scanning, counterfactual shadowing, and execution.
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.
- Static IP Binding: Orders execute strictly from dedicated AWS Elastic IPs. Restricting your Binance API keys to our whitelisted IPs renders them completely inert anywhere else.
- AWS KMS Envelope Encryption: API credentials are encrypted at rest using AWS Key Management Service (KMS 256-bit) and loaded ephemerally in memory during execution.
- Automated Non-Custodial Enforcement: API keys with active withdrawal permissions are instantly rejected by our security gateway and permanently severed.
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.
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).
Private Alpha Cohort (100 Slots)
Restricted deployment capped at 100 API slots. Early adopters receive a 12-month 0% profit share exemption on accounts up to $10,000 USDT to gather production telemetry before public closure.
Institutional Managed Structure
Transition to closed institutional capacity (PAMM / Multi-Account Manager) with standard performance fees (15% High-Water Mark) once alpha capacity thresholds are met.
Predictable Pricing.
Early Adopter Alpha Cohort.
Flat cloud infrastructure fee with 12-Month 0% Profit Share Exemption for the first 100 API slots. Retain 100% of generated alpha on accounts up to $5,000 (Monthly) or $10,000 (Annual).
- 12-Mo Profit Share Exemption: Keep 100% of generated alpha
- Account Capacity: Sized for accounts up to $5,000 USDT
- 6-Node Serverless Engine: Full 24/7 autonomous cloud execution
- Non-Custodial: Connects via Binance API (No withdrawals)
- Friction Cost Gate: Automatic spread & impact auditing
- Smart Exit Engine: Trajectory slope & MFE decay management
- Shadow Mode Included: Test in paper mode with $0 real risk
- Everything in Monthly, plus:
- Full Year Exemption Lock: 12 Months 0% profit share guarantee
- 2x Account Capacity: Up to $10,000 USDT + Multi-key allocation
- Priority Strategy Upgrades: Early access to new validated ML models
- Dedicated Static IP Whitelisting: Dedicated AWS gateway IPs
- 1-on-1 Setup Support: Direct parameter calibration assistance
- Early Adopter Cohort Badge: Strictly limited to 100 slots
Frequently Asked Questions.
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.
QUANTITATIVE INFERENCE · STATISTICALLY VALIDATED · ZENODO PUBLISHED