Antick.io
IntermediateReading The Signals

Metrics Breakdown: every number behind a read

A complete walk through the Metrics Breakdown page: the cards every engine shares, the cards unique to MSI, MPI, LBI, SAI and SCTA, and how to use them together.

14 min read
1

What the page is for and how it is laid out

Every engine has a Metrics Breakdown page for one asset and one timeframe: Metrics State Breakdown for MSI, Perception Metrics Breakdown for MPI, Liquidity Metrics Breakdown for LBI, Stealth Metrics Breakdown for SAI and Alignment Metrics Breakdown for SCTA. It shows every number behind the read, so nothing is hidden behind a single score.

All five pages share the same frame. The top holds the summary cards, the middle holds the cards unique to the engine, and the bottom holds the scenarios, risk and invalidation cards. Use the page when a label surprises you, or when you want to see the evidence behind a read.

2

Core State and AI Market Insight

The page opens with Core State: regime, phase, bias, confidence and confidence tier in one row. AI Market Insight follows with the read in plain language, then the Structure DNA radar and the Regime Interpretation.

Core State and AI Market Insight at the top of the Metrics Breakdown page.
3

Market State Overview, Risk & Stability and Quick Summary

Market State Overview shows every angle the engine tracks for this asset in one compact view: the overall score on a gauge, the upside and downside percentages, and the labels for trend, range, volatility and pressure.

Risk & Stability scores how stable the reading is and splits it into stability, signal quality and risk. Quick Summary repeats regime, phase, bias and confidence for a one-glance recap.

Market State Overview: score, upside and downside, and the trend, range, volatility and pressure labels.
4

Market Context Signals: check the data quality first

Market Context Signals lists the context signals active around the asset, such as ACC+ accumulation pressure, DST+ distribution pressure and NOISE when short-term noise dominates, next to a market quality check.

The quality check covers low liquidity, noise dominance, extreme outliers, session boundaries and whether the data window is contiguous. Clear means fine; Flagged means that part of the data is less reliable, so weigh the rest of the page accordingly.

Market Context Signals: active context signals and the market quality check.
5

MSI: where price is organised

The MSI page adds a set of price-structure charts. Price Range Structure draws the ceiling and floor of the range price moves inside, with resistance, support and accumulation bands and their exact price ranges, over the candles with fast and slow moving averages and volume.

Market Structure labels how price is organised right now, for example accumulation with a downward bias and a breakout percentage, and marks how often each support and resistance has held.

Price Range Structure: resistance, support and accumulation bands with their price ranges.
Market Structure: the structure label, bias and breakout percentage, with held-level annotations.
6

MSI: projection, support and volatility

Price Projection draws the band the current structure points toward, with the support, the current price and the projected level beneath the chart. It is a range to watch, not a prediction.

Support Trend shows where price kept finding a floor over time, against two moving averages, with a note such as how many periods held support. Price Awareness shows how far price is from the levels the engine treats as important. Volatility Compression compares short-term volatility (ATR 14) with its longer average (ATR MA 50) and labels the state, for example High with an expansion multiple.

Price Projection: the projected band with support, current and projected levels.
Support Trend: price against two moving averages and the support trend line.
Volatility Compression: ATR against its moving average, with the current compression state.
7

MPI: the crowd in numbers

The MPI page measures perception. Sentiment vs Reality plots the Sentiment Composite Index against Realized Return Strength, period by period, so you can see when mood runs ahead of price. Volatility State shows the Volatility Sentiment Ratio and the volatility phase the market sits in.

Order Flow Toxicity (VPIN) measures how one-sided and informed the trading is, from 0 to 1; higher means informed flow is trading against the rest. Crowd & Retail Behavior shows retail activity and perception bias as gauges, with the Retail Activity Index and the Attention Surge Index.

Retail Intensity tracks retail participation over recent periods, and Retail Buy vs Sell Split shows how much retail flow is buying against selling.

Crowd & Retail Behavior: retail activity and perception bias, with the Retail Activity and Attention Surge indexes.
Retail Buy vs Sell Split: retail buy volume against sell volume over time.
8

LBI: how real the book is

The LBI page measures the order book. Order Flow Book shows how real the resting liquidity is and how it sits on each side of price, with tabs for absorption, liquidity, execution and spoofing and a ladder of bid and ask levels.

Depth Stream shows buy pressure, sell pressure and net flow period by period. Order Book Depth stacks what waits to buy below the price and to sell above it. Smart Liquidity Response shows how resting liquidity reacts once price reaches it, and Displayed vs Executable Liquidity compares the depth shown with the depth that could actually trade.

Order Flow Book: stable support, depth strength and book activity next to the bid and ask ladder.
Depth Stream: buy pressure, sell pressure and net flow over time.
9

SAI: the accumulation evidence

The SAI page shows the evidence behind an accumulation read. Silent Accumulation Analysis reads price action against large-participant activity, with context markers such as Spoofing, Reversing or Peaking. Accumulation Structure shows the levels and zones the read is built on.

Accumulation Strength shows the current strength and the SAI score against Weak, Moderate, Strong and Extreme bands, and Accumulation Over Time shows how the read built up. Accumulation Absorption Ratio tracks four book-side ratios: how much sell-side liquidity is absorbed, how fast the book refills, how much is passive bid support and how long resting levels survive. Volatility Momentum shows volatility compression against aggressive buying versus selling.

Silent Accumulation Analysis: price action against large-participant activity, with context markers.
Accumulation Strength: the strength and SAI score against the Weak to Extreme bands.
Accumulation Absorption Ratio: absorption, book refill, limit support and order survival.
10

SCTA: alignment on every timeframe

The SCTA page focuses on agreement between timeframes. Multi-Timeframe Structure shows the structure read on every timeframe side by side, Volatility Momentum compares the lower and higher timeframe through an ATR ratio and an RSI spread, and the Timeframe Alignment Matrix scores HTF direction, structure alignment, volatility fit, liquidity sync, momentum sync, structural stress and continuation bias on each timeframe.

Timeframe Alignment Matrix: each alignment measure scored on every timeframe.
11

Scenarios, risk conditions and invalidation

The lower part of every Metrics Breakdown page holds Regime Transition, the Bullish and Bearish Scenarios with their weights, Risk Condition and the Invalidation Zone. The scenarios guide explains each of them step by step.

12

Risk & Invalidation Metrics

Risk & Invalidation Metrics draws each risk measure over time against the line that would break the current read, for example volatility level, signal quality, distribution pressure and state stability. The boxes underneath show the current value and whether it is below, above or past its limit.

Risk & Invalidation Metrics: each measure over time against its limit, with the current values.
13

AI Takeaway and Structure Signals

The page closes with the AI Takeaway, the single most important conclusion from everything above, and Structure Signals, the structural conditions the engine flagged for this pair.

AI Takeaway: the conclusion of the page in one sentence.
14

A five-step routine for this page

First, check Market Context Signals: if the data quality is flagged, slow down. Second, read Core State and the confidence tier. Third, look at the engine-specific cards for the evidence behind the label. Fourth, compare the Risk & Invalidation Metrics with their limits. Fifth, read the AI Takeaway and decide whether the read is strong enough for you.

Evidence over labelsA label is a summary. When the engine-specific cards do not support it, or a limit is about to be crossed, trust the evidence, not the label.