Overview

Live Signal Board

what every hired agent thinks, right now

Each market's live price and the current stance of every agent hired there. This is the whole team's opinion before a trade fires — green wants long, red wants short, grey is standing by. A market trades when its agents agree and a setup triggers.

Paper Equity

Team Equity · out-of-sample

The hired team replayed on the exact out-of-sample trades each member was hired on — the honest expectation for live.

Hiring History

automation FULL · stops, targets, trailing, break-even & protective exits handled automatically

Open Positions

Recent Closes

Operations Log

Live Learning · every closed trade updates trust

wins earn size, losses throttle

The desk learns in real time from every trade it closes — win or loss. Each agent's live trust multiplier scales how much money its next signal gets, updated the instant a trade resolves, without waiting for the 4-hour re-training.

Hired Roster & Capital

Invented Agents · discovered by the factory

The factory mutates strategy parameters, searches on 60% of history, and only keeps genomes that still work on the held-out 40%. Honest discovery, not curve-fitting.

Full Evaluation · every agent, every market

Portfolio Exposure & Correlations

Stress Lab · survival under torture

Real edge degrades gracefully at 2× costs. Noise-control profit factor near 1.0 means the pipeline finds nothing on pure randomness — correct.

Unified Conviction Engine

every signal source, fused into one transparent decision

For each market the brain fuses the hired team's stance, agent quality & live trust, the continuously-learned model, the live order book, and the regime into one conviction score in −1…+1. The bar shows direction and strength; the breakdown shows exactly what each source contributed. A trade opens only when conviction clears the gate AND enough sources agree — otherwise it stands aside. No black box.

Decision Journal

the brain, in its own words

Live Accuracy Scoreboard

every agent graded on every bar — trading or not

The always-on learner scores every formula and agent's directional call on each new closed bar, whether or not it is trading, and keeps a live hit-rate that never goes stale. Agents proven accurate here get more size; currently-wrong ones get less. ~0.50 = coin-flip; a sustained >0.52 over a large sample is a real live edge.

Full-Stack Backtest · the whole brain, out-of-sample

2 years · every fee & funding cost

This replays the entire integrated system — filtered agents, conviction fusion, the continuously-learned model, gates, confidence sizing, and every exit rule — over two years of unseen data, with real Binance fees and funding charged. It is the honest measure of whether the whole brain, not just its parts, makes money. Order-book confirmation is excluded (no historical depth), so the live system has one extra edge this test doesn't.

Exchange Connection

Connect Binance so the desk can read your account and (once you enable live) trade. Keys are stored outside the project folder, owner-only, and never shown again. Give the key IP-restricted, futures-trade, withdrawals-DISABLED permissions.

Hyperliquid Connection

Connect Hyperliquid for cross-venue signals and (once you enable live) testnet/mainnet trading. Use an agent/API wallet key (it can trade but cannot withdraw). Stored outside the project folder, owner-only, never shown again.

Your Plan

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Your Account & Referrals

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Recent account activity
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Notifications

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Live Trading Status

The live executor is safe by construction: real orders require every gate below to be set as an environment variable on the server — nothing trades real money by accident. Both venue balances are read-only here.

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To arm live on the server: AITHIROX_LIVE=1 (arm), AITHIROX_VENUE_NET=main (mainnet vs testnet), AITHIROX_SEND=1 (actually send). Per-order cap and daily-loss auto-disarm always apply.

Trading Mode

Risk & Strategy Parameters

live — applies on the next poll

How AITHIROX Works

Capital Allocation

Feature Drift · is the market still like training?

Population Stability Index per market. Rising drift tells the brain its models are aging — it retrains every cycle to keep up.

Methodology

Six markets of Binance futures data — perpetual klines, funding, premium index, basis — pass cleaning and gap checks, then 118 causal formulas, then triple-barrier labels. Thirteen hand-built agents plus factory-invented ones are each tested in walk-forward simulation with real fees, slippage, and 8-hour funding flows.

An agent is hired only if its out-of-sample profit factor and Sharpe clear the bar and a 2,000-sample bootstrap can't distinguish its profit from luck (p ≤ 0.10). Survivors face cost-shock and random-walk torture before any capital. Paper trading mirrors the simulator exactly — same fills, fees, funding, and leverage rules.

Nothing here is a placeholder. Every figure is measured out-of-sample; every model on disk is genuinely trained; the equity moves with the real market. When something can't be proven, it isn't hired — and that discipline is why this exists.