Understand the price history behind a signal

An unfinished candle can change shape

During an active period, the high, low, close and volume can continue changing. A candle that resembles one formation earlier in the period can finish differently. The stock process excludes the active date from completed daily calculations; crypto history excludes the unfinished UTC day.

The displayed current price therefore does not finalize a new daily formation. Check the session attached to a named pattern before comparing it with a quote recorded later.

See the candlestick pattern guide for how formations are interpreted.

History must describe a coherent sequence

Technical calculations depend on the order of observations. The stock history checks reject duplicate or out-of-order trading sessions, invalid session timestamps and history that does not satisfy the available-history requirements. A successful price quote alone does not establish a usable historical series.

Crypto daily-history processing checks timestamps and candle values, orders the observations and keeps the applicable consecutive history after a gap. It does not silently count a missing daily observation as though a real candle had been supplied.

Candle values need internal consistency

A candlestick’s high must encompass its open and close, and its low must encompass them from below. Pattern detection checks finite positive values and those relationships. Malformed candle values cannot support a valid named formation.

A flat candle with no price range does not count as a bullish pattern. Likewise, a price-only series should not be read as independently observed open, high, low and close data unless the historical source actually supplies those observations.

Align the pattern and participation period

A historical pattern can remain useful context without being the latest session’s pattern. The ETF models use candle scoring tied to the latest completed trading session. Older formations should not be mistaken for a newly completed pattern.

For geared exchange-traded products, completed-session volume is paired with that same session’s closing return. Combining one session’s volume with another period’s price change would describe a different relationship from the model’s intended participation input.

Read the ETF guide and model documentation for that context.

A pattern remains one model input

A bullish formation can appear alongside weaker trend or momentum indicators. A bearish formation can also coexist with other favorable inputs. The Oracle combines the applicable factors and eligibility checks; the name of a formation does not determine the full classification by itself.

Indicators that cannot be calculated from the available history remain unavailable under the model’s rules. Missing inputs affect coverage and can prevent a directional result. An unavailable field is not proof of neutral price action.

Continue with model-input coverage and the quote and calculation timestamps when reading the result.