How Wyckoff.app Works
AI-powered market scanning built around structured Wyckoff analysis — shown step by step, with a worked visual example for every stage.
Step 1
Market Data
Everything starts with raw price and volume. For each supported asset and timeframe, Wyckoff.app reads candles, measures volume against its own average, and tracks volatility, market structure, key levels and liquidity behavior.
Raw market data becomes structured market information.
Step 2
Structure Detection
Before any Wyckoff labels are applied, price action is analyzed quantitatively as raw market structure: where price keeps reacting, how wide and how long the range is, and how contained it stays.
Trading range detected
- Range width
- 7.2%
- Range duration
- 25 bars
- Support touches
- 4
- Resistance touches
- 3
Wyckoff.app first identifies the structure surrounding price.
Step 3
Wyckoff Engine
Detected structure is mapped onto Wyckoff events and phases. A single signal is never sufficient on its own — the engine weighs the sequence and the totality of evidence across the range.
Hover or tap an event label to read what it means.
Illustrative example — real market structures vary.
Accumulation events
Distribution events
Step 4
Evidence Scoring
Each category of evidence is measured separately, weighted, and combined into a single 0-100 evidence score.
Overall evidence score
87 / 100
An evidence score is not a probability of success.
It measures how much of the expected Wyckoff evidence is present and how well it agrees. Contradictory evidence pulls the score down instead of being ignored.
Step 5
AI Explanation
AI does not decide which setups exist. The deterministic engine identifies the structure and evidence; AI turns that structured evidence into a clear explanation you can question.
- Market data
- Wyckoff engine
- Structured evidence
- AI
- Human-readable explanation
“The Spring classification is supported by the temporary break below established support, followed by a reclaim of the trading range on elevated relative volume. The reading weakens if price closes back below support.”
The AI explains the evidence. The AI does not invent the evidence.
Always on
Always scanning.
Scanning runs in the background — there is no need to keep the site open. When you come back, the scanner shows the latest completed analysis along with a freshness label so you always know how current it is.
Scanning…
Analyzed
Setup detected
Scanning…
Analyzed
Setup detected
Scanning…
Analyzed
Always scanning supported markets.
Lifecycle
Setups evolve.
A setup is tracked through its full lifecycle, not detected once and forgotten. Every new event and every change in the evidence score is kept as history.
72/ 100
78/ 100
83/ 100
87/ 100
Setups evolve. Wyckoff.app keeps the history. The number shown is an evidence score, not a probability.
Interactive
Ask AI about the setup.
The assistant only sees the structured evidence for the setup in front of you, so its answers stay tied to what was actually detected.
Ask questions about the exact setup you're viewing.
Stay ahead
Never miss a setup.
Set alerts for new setups, score thresholds, confirmation and invalidation events, on specific assets and timeframes. Delivery starts with email, with more channels planned.
Wyckoff.app
Wyckoff Alert
87 / 100
- Spring detected
- Test detected
- Range reclaim
Get notified when the setups you care about change.