Qv2 Stdev

Qv² Stdev is indicator developed based on standard deviation of prices and trading volume.

Buy signals are indicated by arrows up.

Sell signals are indicated by arrows down.

An important detail is that the Qv² Volume has two bands, an upper and a lower, both of which serve as a target for take profit.

It is recommended to use it in H1

Can be used in all pairs (I use in Gold).

Good Business, in the trending market

To find out some more about my work please click here

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The Qv² Halifax - Indicator developed through a complex series of calculations, which aims to easily identify buylng and selling signals. Buy signal are indicated by up arrows. Sell signal are indicated by down arrows. An important detail: In order to make the indicator work, the timeframes M1, M5. M15. M30, H1 D1 must be all updated. It can be used on all pairs (I use it on Gold). it is a very good deal in the trending market To learn more about my work click here
The Qv² Histogram - Indicator developed for traders with advanced experience. This indicator has two purposes: 1-) Identify price normality patterns (green color) 2-) Identify abnormal price patterns “outliers” (red color) ====================================================================================================================================== Interpretation for trades in start trend: Histogram (Green color) crossing the zero line upside - uptrend. Histogram (Green color) crossing th
The Qv² Trend is an indicator that aims to identify trends. Buying trend signals are indicated by arrows pointing up. Selling trend signals are indicated by arrows pointing down. It can be used in all deadlines. It can be used in all pairs. I use it on the H1 with a period of 24. Important Recommendation: Make sure you trade in trend market. Good Trades, in trend market
Beholder
Joao Marcilio
BEHOLDER – THE INDICATOR THAT REVEALS HIDDEN PATTERNS IN TIME THE REAL TRADER’S PROBLEM: TEMPORAL BLINDNESS Every week, thousands of traders face the same dilemma: A flood of economic events (NFP, CPI, Interest Rates, Retail Sales…) Very little time to analyze correlations Decisions made on “gut feeling,” without reliable historical context Trying to do this manually is insane: Scrolling back through dozens of weeks on the calendar Comparing event by event Trying to calculate patt
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