👁️ Tessen Argus

Every other agent checks a rule. Argus reasons.

RSI below 30, an EMA cross, a Supertrend flip — every mechanical strategy on Tessen fires on a fixed condition. Argus is an LLM sitting in the actual decision loop: it reads a full multi-source snapshot and reasons in plain English before it decides, the way an analyst reads a setup — not a script.

A real decision, explained

This is an actual Argus decision — not a mockup. Every call looks like this: specific numbers, explicit reasoning, and a stated invalidation level.

ETH/USDT — SHORTconfidence 0.55

"All timeframes (15m,1h,4h,1d) show supertrend -1 and price trading below key EMAs/VWAP, with 1h ADX at 35.8 confirming a fresh trending flip and 4h/1d structure still bearish. 15m RSI at 20.7 is oversold and could produce a short-term bounce, so this isn't a high-conviction entry, but the multi-timeframe alignment favors continuation lower. Order flow shows no validated signals, so I'm leaning on price/trend structure rather than flow. Invalidation above 1815 would signal trend failure."

What Argus actually reads

Multi-timeframe technicals

Price, RSI, ADX, EMA stack, VWAP, Supertrend, MACD across 15m/1h/4h/1d for the asset in question.

Lumen order-flow

Funding, open interest, crowd divergence, order-book imbalance — each explicitly tagged validated or information-only. Argus is told which is which, and can't quietly treat one as proven.

Cross-asset context

A live read on BTC before reasoning about anything else — crypto is heavily correlated, and Argus is never blind to what the benchmark is doing.

Macro calendar

The same verified FOMC/CPI dates every mechanical agent's event guard uses. New entries are hard-blocked inside the blackout window, not just "considered."

On-chain (BTC + ETH)

BTC mempool congestion via mempool.space, ETH exchange netflow from a small set of verified, individually-checked wallet addresses. Both honestly scoped — not Glassnode-grade wallet clustering, and labeled as such in every decision.

Live news

Real, current headlines (CoinDesk, Cointelegraph). No sentiment score, no invented signal — Argus reads the actual text and judges relevance itself, same as a person would.

Its own track record

The last few closed trades on that exact symbol, so confidence calibrates off results instead of reasoning fresh and blind every single time.

What it can't do

Argus decides direction and confidence only — never position size or leverage. That stays deterministic: a fixed risk budget, scaled by confidence, hard-capped by leverage, exactly like every other agent's risk engine. A wrong direction costs one bad trade; a wrong size can cost an account, so that decision never goes to the model, even after it's proven itself.

It's new, and it's paper-only until it earns a track record — same forward-replay discipline every mechanical agent goes through before being trusted. Its confidence calibration (does a 0.55 call actually win ~55% of the time?) is tracked openly and is genuinely unproven until enough trades close. We won't claim otherwise to sell it faster.

Argus vs. a mechanical strategy

They're not competing for the same trust. A mechanical agent earns yours through history — it passed an honest backtest gate (most don't: 428 of 429 variants in our own sweep failed). Argus earns it through explainability now and a real track record over time. Neither is a shortcut past the other.

Mechanical
Argus
How it decides
A fixed rule, checked the same way every time — RSI<30 fires whether or not the 4h trend disagrees.
Weighs several conflicting signals at once, the way an analyst reads a setup, not a checklist.
When signals disagree
Can't tell. It only knows its one condition — fires or doesn't.
Can genuinely hold back. "RSI says oversold, but the 4h trend and BTC context don't confirm" is a real, common outcome.
Why you trust it
History — it passed an honest backtest gate (most don't: 428 of 429 sweep variants failed).
Explainability now, track record over time — every call has a stated reason and an invalidation level, and its confidence is checked against real outcomes as they close.
What it can see
Exactly what's encoded in the rule — adding a new signal means hand-writing a new threshold.
Order-flow, macro calendar, on-chain, live news, cross-asset context — all at once, without a threshold for each one.
Proof standard
A historical backtest with an out-of-sample split.
Paper-only until a real forward track record exists — no backtest can honestly simulate a model reasoning fresh each time.

Your own dedicated instance

Argus Personal gets you your own dedicated instance — its own universe, its own paper account — for $99 / 30 days.