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.
The preferred article structure is simple: research question, context, method, assumptions, practical example, evidence checklist, known limitations, and reader actions. This format is intended to make each page useful as a standalone reference rather than a short promotional post.
Data and Timing
Financial examples should distinguish between historical, delayed, simulated, and live data. If a feature is used in a model, the article should ask whether that feature would have been available at the decision time. This is especially important for revised macro data, exchange funding rates, wallet labels, news timestamps, and any data source that may be delayed or corrected.
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.
A result is more useful when it reports what could make the idea fail. Examples include higher trading costs, lower liquidity, delayed execution, parameter instability, overfitting, exchange outages, and market regimes not represented in the sample.
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.
AI-generated drafts are reviewed for unsupported certainty, stale references, invented facts, and claims that could be read as personalized financial advice. The final responsibility for published material remains with the site publisher.
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.
Navigation and Reader Experience
Navigation should help readers find research notes by topic, article list, author information, editorial policy, privacy policy, terms, disclaimer, and contact page. Pages should be live, readable, and complete before they are submitted for ad review.