Research method

Data quality before signal quality

A technical setup is only as useful as the history and company fields behind it. TrendRadar treats source data as evidence to inspect, not as an unquestionable record.

What is used

TrendRadar combines daily market history with locally derived trend, momentum, liquidity, relative-strength, and market-context fields. Company profile and selected fundamental fields are cached from the data provider so the public report can be produced without issuing thousands of live requests.

Validation and exclusions

  • Indicators require sufficient history before a ticker can qualify for a long-term rule.
  • Known scale-break and split checks are used in research backtests to avoid treating a vendor price discontinuity as an investable gain or loss.
  • Liquidity and available-history filters remove many assets that are not suitable for a practical watchlist.
  • Missing fundamentals are displayed as missing; they are not silently converted into favourable values.

Remaining limitations

Data vendors can revise fields, historical quotes can be adjusted differently across exchanges, and a symbol can represent a different listing or security over time. Corporate actions, delistings, foreign-exchange conversion, and sparse OTC trading can materially change an apparent result. Users should verify important figures in current company filings and exchange disclosures.