iTapGo Quant

Methodology

The editorial and research standards behind iTapGo Quant articles.

Research Standard

iTapGo Quant articles are written around a conservative research standard: define the question, state the assumptions, explain the data, identify validation limits, and discuss risk before any conclusion is presented.

Backtest Interpretation

Backtests are treated as simulations, not promises. Articles should explain whether costs, slippage, rebalancing rules, missing data, and timing assumptions matter to the result. Historical performance is never presented as a guarantee.

AI Model Use

AI systems can assist with research planning, code review, feature ideas, and documentation. They should not be described as market oracles. When AI methods are discussed, the article should explain validation, drift, leakage, and oversight.

Risk Language

The site avoids personalized advice, trade signals, guaranteed outcomes, and promotional claims. Financial examples are educational and should be independently evaluated by readers.