Research methodology

Every Center Quant analysis starts with a clear question: where is the market heading, what evidence supports that view, and what could change it? We combine quantitative analysis with AI research to develop conditional plans and examine them against historical data.

A consistent data foundation

Price, indicator and risk analysis use data with an identified source and observation time. Completed candles provide the basis for evaluating signals; live prices show subsequent market developments. Each analysis retains its data so a thesis can be reviewed in the market context in which it was formed.

Crypto uses Binance spot prices and separate perpetual-contract data. Commodities use Yahoo continuous futures; Forex uses Yahoo currency-pair reference prices. Product type, price units and data source accompany the results.

Analysis and critical review

Trend, momentum, price structure and volatility are assessed within the selected research horizon. Liquidity analysis distinguishes traded volume from resting orders. We use consistent indicator and risk calculations so findings can be compared across charts, research and test reports.

AI brings the evidence together and examines arguments on both sides. Results explain confirmation conditions, invalidation levels and outstanding data needs. When methods disagree, the analysis sets out the basis for each scenario.

Strategy evaluation

A trading idea becomes explicit entry, holding and exit rules before it is tested. Reports show returns after costs, account drawdowns and simulated trades. Execution assumptions, fees and slippage are disclosed so results can be examined.

Center Quant’s three custom trade setups have predefined rules and probability-evaluation criteria. Probability estimates are shown only when sample counts, out-of-sample results and uncertainty satisfy those criteria. Other validation results and historical statistics are presented according to what they measure.

Market context and sources

The financial news feed connects Crypto, macroeconomic, commodity and Forex developments with the asset under study. Each article retains its original link, publication date and collection time. Summaries support a first reading; original articles provide the detail and context for further research.

Filters cover articles collected in the past 90 days from connected sources. Coverage is limited to connected sources and their update schedules.

Research discipline

An analysis of a past date uses only information known by that date. News, asset profiles and macroeconomic data retrieved today are kept separate from historical tests. Data gaps are identified so the reader can distinguish supported findings from questions that need further evidence.

Scenario simulations examine possible developments under stated assumptions. Scenario consistency and historical test results are assessed separately from the probability of a price rise or fall. Each result should be read alongside its research horizon, data and assumptions.