Eva reads market structure the way an ICT desk does, keeps a four-year cycle clock, and digests the news as it breaks — each on its own timescale, from a four-year arc down to a sixty-second watch. Every conclusion is written down, timestamped and served over an API. The trading books are the first things built on it, not the last.
Each is computed independently and none is allowed to overrule the others by assertion. Structure decides trades; the cycle sets posture; news can veto but never initiate.
Order blocks and breakers from close-confirmed structure breaks, swing-failure sweeps at prior extremes, mitigation tracking, and fibonacci entry bands inside M5 order blocks — detected programmatically, then cross-checked before anything trades.
Every halving since 2012 and the three cycle tops and bottoms that followed drive a five-phase model of where the market sits. Refreshed daily against twelve years of Bitcoin dailies, with a written thesis and gold ratios alongside.
1,348 headlines read and 979 escalated to a classifier that assigns severity, direction and an expiry. Live context enters the trading prompt, and Eva must answer it in writing.
A vision model reads the marked charts and either specifies a complete trade or declines — and declining is the common answer, at 97.3% of cycles. Every cited level is re-checked against raw candles before it can become a position.
This is not a marketing illustration — it is the same record the system publishes to itself and to everything built on it, rendered from the ledger. When the cycle model and the desk disagree, the disagreement is printed rather than smoothed.
| H4 | H1 | M15 | |
|---|---|---|---|
| BTC | bullish 0.62 | bearish 0.58 | neutral 0.55 |
| ETH | neutral 0.61 | bearish 0.64 | bullish 0.53 |
as of 2026-09-23 22:31 UTC · BTC is decided first and ETH read as the higher-beta conduit · disagreement across timeframes is shown, not resolved
A four-year view should not be setting an intraday stop, and a sixty-second watcher should not hold an opinion about the cycle. Each layer runs on its own cadence, writes its own artifact, and is consumed by whatever needs it.
Everything Eva concludes is persisted and served over a token-authenticated API. A new product asks for the current read over HTTP instead of re-deriving it — the analysis is paid for once, by the hub, and reused. Two independent services already run exactly that way.
Stances by asset and timeframe, the cycle thesis, funding regimes, macro posture and volatility events — the same objects the flagship book trades on, available to anything holding a service token.
The idea mill turns stance flips, news and volatility spikes into published cards. The event-market bot takes its directional bias straight from the API and has never paid for a chart read of its own.
Consumers refuse to trade on an old opinion: if the read is unreachable or past its freshness window, the answer is no signal rather than a stale one.
In product order, not ranked — each book asks a different question of the same brain, and each is shown with its own sample size, its own record and its own caveats. The edge is under study; the accounting is not.
The flagship book. Multi-timeframe ICT chart reads on ETH and BTC every 30 minutes — market structure, sweep-failures, order blocks — executed live with a hard stop and staged take-profits on every position.
The idea stream. Not an ICT desk — a programmatic scanner wired straight into Eva's brain that constantly mints structured intraday setups, every one published with entry, stop and targets, and every one scored in public.
The reversal lane. When three or more consecutive 15-minute candles run one way and the last one sweeps the prior extreme, the bot takes the other side of the event contract — a classic exhaustion read, settled within the quarter hour.
The favourite lane. Mid-window, when one side of the 15-minute contract is priced 67–80¢ with four to ten minutes left, the bot buys it and holds to settlement — harvesting the gap between priced probability and realized outcome.
The institutional sleeve. On-chain collateral and fixed-yield positions managed against hard health-factor floors — stable yield, marked to a daily NAV, and the most risk-free book Eva runs.
More strategies coming soon.
The engine assembles marked H4 / H1 / M5 charts each cycle, plus a weekly relative-strength read between ETH and BTC and any live macro context, and proposes a trade only when structure lines up.
Every proposal is checked against the raw data: cited levels must exist, stops must be structural, targets must be reachable. Failures are downgraded to no-trade, and the audit score is kept.
Surviving ideas go to the books — live exchange sleeves with real brackets, event-market lanes that settle every quarter hour, and an on-chain sleeve marked to a daily NAV.
Fills, partial exits, trailed stops and final P&L are recorded as they happen. The ledger is the product: what you see is what the system actually did.
When a live position fully closes, the system renders an annotated chart of what happened — entry, stop, every target that paid, and a post-trade note. A selection, including a loser, because the record is only credible whole.
Two bullish H4 order blocks sat stacked directly below price after a corrective grind, with an H4 sweep-failure at the lows and the weekly open framing the demand pocket. The read: a bull-regime correction finishing its work into demand, not a trend change.
closed +$17.85 · held 35h
An unmitigated H4 bearish order block at 2,479–2,534 had capped price since Aug 30, and the 24-hour high at 2,546 tagged the supply retest zone two bars before entry — bears had already defended the level. The short was placed inside that supply with the stop just beyond it.
closed +$32.30 · held 29h
The architecture, the strategies, and how to read the books — written for people who want to check the claims, not just hear them.
Beta users get Eva's idea cards as they publish — entry, stop, targets and thesis — plus the running books and the market read behind them. Places are limited while the record is still young.