01Primary market
BTC
Price discovery, liquidity, regime and structural reference.
DATA ADAPTER · NOT CONNECTED
TQS / MARKET INTELLIGENCE
From market data
to context.
Markets are treated as a research environment. Price alone is not the model: liquidity, time, efficiency, structure, relative behavior and regime determine context.
Market Universe
Six environments.
One system.
The first TQS market universe deliberately remains narrow. BTC and ETH are primary assets. BTC.D, TOTAL2, TOTAL3 and USDT.D are contextual environments used to study capital allocation, relative strength and broader crypto-market structure.
02Primary market
ETH
Relative strength, ecosystem capital and risk transmission.
DATA ADAPTER · NOT CONNECTED
03Capital structure
BTC.D
Bitcoin share of crypto market capitalization and rotation context.
DATA ADAPTER · NOT CONNECTED
04Capital structure
TOTAL2
Crypto market capitalization excluding Bitcoin.
DATA ADAPTER · NOT CONNECTED
05Capital structure
TOTAL3
Crypto market capitalization excluding Bitcoin and Ethereum.
DATA ADAPTER · NOT CONNECTED
06Liquidity proxy
USDT.D
Stablecoin dominance context and defensive/risk-seeking behavior.
DATA ADAPTER · NOT CONNECTED
Analytical Lenses
Price needs a language.
01
Liquidity
Where capital can transact, where resting interest may exist and how liquidity conditions change.
02
Time
The same price behavior can carry different meaning across horizons and market sessions.
03
Efficiency
Whether price has sufficiently processed prior displacement, imbalance or information across scales.
04
Structure
How swing relationships, ranges, displacement and acceptance organize price behavior.
05
Relative Strength
How assets and market-cap indices behave relative to one another.
06
Regime
The broader environment in which a local setup exists: expansion, compression, rotation or stress.
EFF-001 / Market Lab
Macro × Micro Efficiency.
A conceptual prototype for distinguishing higher-timeframe efficiency from local displacement. The current engine uses user-defined inputs only. No live market state is inferred or fabricated.
EFF-001 · Experimental · v0.2
Market Efficiency Field
Manual research interface. Inputs are subjective prototype variables until formal definitions and data pipelines are validated.
Composite context66/100
MACRO
MICRO
Macro inefficient
Micro efficient
Micro efficient
Broad efficiency
Multi-scale
inefficiency
inefficiency
Macro efficient
Micro dislocation
Micro dislocation
Regime classification
Macro efficient / micro dislocation
Higher-timeframe conditions are rated efficient while local price remains comparatively displaced.
Not a signal · No live data · No validated predictive claim
Research Pipeline
Observation before automation.
01Observe
02Record
03Classify
04Hypothesize
05Test
06Measure
07Model
08Validate
09Automate
Research integrity
A tool does not become valid because it looks quantitative. TQS market models should originate from observations, define measurable variables, survive out-of-sample testing where possible and expose their limitations before being treated as decision systems.