Adversarial Market Intelligence
Institutions run scripts.
We read them.
Every chart is a story institutions are writing in real time — accumulation, shakeouts, squeezes, distribution. We decode which script is running, how far along it is, and the role retail is being cast in — before the exit. Validated against 10,000+ live setups with 0.83 walk-forward CV AUC across five independent market regimes.
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Dual-Brain Architecture
Two adversarial intelligences.
One unified signal.
When manipulation signals and quantitative signals conflict, most platforms average them into noise. Ours knows which brain to trust — and when their disagreement is the signal itself.
Institutional Playbook Decoder
Every institutional move is a screenplay.
We give you the page number.
ChartChest pattern-matches multi-bar OHLCV narratives against five canonical institutional playbooks — identifying which script is active and who is designed to lose.
PLAYBOOK 01
The Load
Wyckoff Accumulation
Silent absorption of supply. Institutions quietly buy while price appears dead — before a controlled markup phase begins.
VICTIM: uninformed sellers
PLAYBOOK 02
The Shakeout
Manufactured Weakness
Deliberate selling to trigger retail stop-losses below support — then reversing to take the cleared long position.
VICTIM: stopped-out longs
PLAYBOOK 03
The Squeeze
Engineered Cascade
Gamma or short-squeeze mechanics are deliberately triggered. Forced covering creates a momentum cascade with predictable fuel.
VICTIM: short sellers
PLAYBOOK 04
The Distribution
Bag Passing
Offloading inventory into retail FOMO at peak narrative. Price holds while institutions exit through carefully managed supply.
VICTIM: bag holders
PLAYBOOK 05
The Battlefield
Desk vs Desk Warfare
Multiple institutional desks in direct conflict. Elevated volatility, two-sided prints, and real directional pressure from the winning desk.
VICTIM: uninformed participants
Architecture
15 engines. One read.
Independent layers of intelligence — each verifiable in isolation — fused into a single arbitrated conviction output.
Strategy Taxonomy
The AI classifies every setup into
how institutions actually trade.
Not just bullish or bearish. ChartChest labels each signal with the strategic archetype — so you know the expected hold, the mechanism, and the risk profile before you decide anything.
FOLLOW_THE_MONEY
Ride institutional accumulation
Dark pool flow is visible. Institutional absorption detected. Align with the direction of large capital — hold while the smart money holds.
TYPICAL HOLD: 3–7 days
ACCUMULATION_PLAY
Wyckoff Phase B/C base breakout
Spring, last-point-of-support, or base under resistance. Pre-load scenario dominant. Wait for the markup trigger — the setup has runway.
TYPICAL HOLD: 5–21 days
SQUEEZE_CAPTURE
Forced covering cascade
Gamma or short-squeeze mechanics are active. Dealer hedging or short-covering will force price. Fast momentum — enter early, exit before exhaustion.
TYPICAL HOLD: 0.5–3 days
COUNTER_MANIPULATION
Fade the exhausted manipulation
A pump-and-dump, bear raid, or stop hunt has reached exhaustion phase. The manipulators are done. Fade the move at the reversal point.
TYPICAL HOLD: 1–5 days
REGIME_ROTATION
Follow the macro money rotation
ETF flow and cluster intelligence confirm sector rotation. Macro and sector forces dominate. Longer duration, lower churn, higher conviction hold.
TYPICAL HOLD: 10–30 days
BANDIT LEARNER
Thompson Sampling per context
A Bayesian bandit learns which archetype wins in each combination of regime × market energy × manipulation phase — and routes accordingly.
UPDATES: every resolved outcome
Live Scanner
The ranked market.
Updated every session.
See every covered symbol sorted by active playbook tier, conviction score, and expected move — without opening a single chart.
Validated Model Evolution
The model doesn't just claim accuracy.
It earns it by regime.
Every version of the model is walk-forward cross-validated — trained on the past, tested strictly on the future. AUC measures the model's ability to rank the best institutional setups above the noise, across five independent time regimes from 2024 to 2026.
We publish the numbers raw. v1 started at 0.65, barely above random for some folds. The current model sits at 0.83 — consistent across all five regimes with no holdout leakage. The improvement came from new data channels (dark pool forensics, macro emotion signals, playbook sequencing) not from overfitting to recent data.
Adaptive Intelligence
The model doesn't stay still.
It counter-evolves.
Institutions adapt their scripts when patterns get spotted. Our evolution loop catches that. When a feature class degrades in live performance, the system retrains — not on the old regime, but on the freshest 19 months of adversarial behavior.
v1 (Sep 2024) struggled with just 35 high-conviction signals at 0.65 AUC. Systematic retraining — new dark pool forensics, playbook sequencing, and cross-brain calibration — compounded that to 0.83 AUC at 120× the signal volume. Each retrain cycle adds a new intelligence layer rather than just re-tuning the old one.
See which playbook
is running right now.
Type any ticker. Get the full institutional read. Free, no account.
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