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  2. Tick size - Wikipedia

    en.wikipedia.org/wiki/Tick_size

    Heavily-traded stocks are given smaller tick sizes. An instrument price is always a rational number and the tick sizes determine the numbers that are permissible for a given instrument and exchange. In Europe, Mifid has resulted in a variety of multilateral trading facilities (MTF) with distinct tick size regimes for the same stocks.

  3. Buffett indicator - Wikipedia

    en.wikipedia.org/wiki/Buffett_indicator

    The Buffett Indicator forecasted an average of 83% of returns across all nations and periods, though the predictive value ranged from a low of 42% to as high as 93% depending on the specific nation. Accuracy was lower in nations with smaller stock markets.

  4. Flag and pennant patterns - Wikipedia

    en.wikipedia.org/wiki/Flag_and_pennant_patterns

    The flag and pennant patterns are commonly found patterns in the price charts of financially traded assets (stocks, bonds, futures, etc.). [1] The patterns are characterized by a clear direction of the price trend, followed by a consolidation and rangebound movement, which is then followed by a resumption of the trend. [2]

  5. The tail wags the dog: Top recession indicator now slows the ...

    www.aol.com/finance/tail-wags-dog-top-recession...

    The inverted yield curve—a recession indicator with a decades-long track record of accuracy—has evolved beyond serving as a warning of a future downturn and now sways the economy, its creator ...

  6. KST oscillator - Wikipedia

    en.wikipedia.org/wiki/KST_oscillator

    This approach isn't perfect; the ellipses on the chart highlight all the whipsaws. As said earlier, the KST can also give false or misleading signals, as you can see from the April 2005 buy signal. It comes close to a couple of whipsaws, but by and large, it's more accurate, even though the MACD often turns faster than the KST.

  7. Accuracy and precision - Wikipedia

    en.wikipedia.org/wiki/Accuracy_and_precision

    Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]