BTC84,483Close · 2026-10-02
Digital Assets
Historical exchange data, derivatives structure, liquidity behavior and market-regime analysis across 537 Binance futures instruments. BTC shown.
MARKET STRUCTURE · DATA · SYSTEMATIC RESEARCH
Structure Before Prediction.
SkrrrrLabs is an independent market-research project focused on transforming historical market data into structured, testable trading frameworks.
Current validation focuses on roughly 478GB of Binance futures trade data recorded after spot Ethereum ETFs began trading on 23 July 2024.
01RAW DATA≈1.07TB archived
02SELECTION537 instruments
03NORMALIZATION1m → 1W bars
04BACKTESTINGIn progress
05VALIDATIONPost-ETF regime
SKRRRRLABS / 01INDEPENDENT RESEARCH PROJECT
01CURRENT RESEARCH
A filtered dataset, not a larger claim.
The archive holds approximately 1.07TB of Binance USDⓈ-M futures data across 537 instruments: 847GB of aggregated trades, 189GB of processed files and 30GB of candles. About 358GB of trade data predates the start of spot Ethereum ETF trading and is kept for context only; about 478GB recorded after it is used to study the current market regime, with roughly 11GB spanning the boundary.
No strategy is presented as validated until it survives testing across structure, volatility, time, adverse movement and execution conditions.
≈1.07TBHistorical archive
≈478GBPost-ETF trade data
537Futures instruments
1m · 5m · 15m · 30m · 1h candles537
Tick-level aggregated trades≈530
Mark · index · premium (1h)532
Funding rates536
2h · 4h · 1d candles537
Context onlyCurrent validation
537 instruments. 1-minute candles since January 2020 and tick-level aggregated trades since February 2021, archived independently. Current validation uses only data recorded after spot Ethereum ETFs began trading.
Data ingestionComplete
Historical archivingComplete
Regime separationActive
Data validationActive
Strategy backtestingIn progress
Execution testingNot published
Live systemNot deployed
02RESEARCH PROCESS
From raw data to a decision framework.
Collecting more data does not create an edge by itself. The objective is to define comparable conditions, reject weak assumptions and convert surviving observations into repeatable processes.
- 01
Define the regime
Separate structurally different market environments before testing.
- 02
Build the dataset
Clean, align and normalize historical exchange data.
- 03
Form the hypothesis
Specify structure, liquidity, volatility, time and invalidation conditions.
- 04
Backtest
Measure outcomes, adverse movement, holding time and execution cost.
- 05
Stress test
Test whether a result survives different instruments and market conditions.
- 06
Validate or reject
Discard hypotheses when the evidence does not support them.
- 07
Automate
Convert only repeatable and measurable processes into systems.
03RESEARCH SCOPE
Markets under observation.
Digital assets remain the primary research focus. Other markets provide context for testing whether a framework travels beyond one instrument set.
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04VALIDATION SCOPE
The goal is not to find a pattern that worked once.
The goal is to identify where, when and under what conditions it stops working.
- 01Structure
- 02Invalidation
- 03Time
- 04Adverse movement
- 05Execution conditions
05PRINCIPLES
Rules for staying honest.
RESEARCH / 0501Data before belief.
02Context before direction.
03Survival before profit.
04Probability before conviction.
05Process before emotion.
06Rejection before deployment.
06ABOUT
Independent by design.
SkrrrrLabs is an independent market-research project built around a simple belief: trading decisions should be tested before they are trusted.
The project began with digital-asset market data and is being developed into a broader research framework for crypto, index and metals trading.
Its current focus is historical-data validation, systematic backtesting and the design of repeatable decision processes.
SkrrrrLabs does not manage client capital, provide guaranteed trading signals or present unfinished research as proven performance.
07COLLABORATION
Good systems are rarely built from one discipline.
SkrrrrLabs is open to thoughtful conversations with developers, data engineers, researchers and systematic traders working on market data, backtesting, execution infrastructure or research automation.
No sales pitch is required. A clear problem, useful expertise or serious research question is enough.
Python developersData engineersQuantitative researchersSystematic tradersMarket-data infrastructure buildersResearch partners
Start a Conversation08TRADING PLATFORMS
Research first. Execution second.
SkrrrrLabs conducts independent market research. Trading execution is performed through external platforms.
Binance
Primary source of current historical-data research
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20% trading-fee rebateSome outbound links may be affiliate links and may support the continued development and operation of SkrrrrLabs at no additional cost to the user.