Simple idea that allows you to display tomorrow CPR/ Standard Floor Trader Pivots based on the high, low and close of today session. Likewise, it works for higher timeframes taking into account the high, low, close of the period (e.g. weekly, monthly, year).
Just be aware that -regardless of the timeframe- if the period is still in development, the indicator...
This multi pivot indicator allows you to plot and overlay different types of pivot points:
-Fibonacci
-Floor Traders
-Camarilla
In addition to this, you can plot pivots from two different timeframes of your choice, for example the daily & weekly pivots, monthly & yearly, etc.
-You can select the linestyle, width and color of each pivot type for easy...
This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow...
This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow...
Hello Everyone,
The Expanded Floor Pivots is introduced in the book "Secrets of a Pivot Boss: Revealing Proven Methods for Profiting in the Market " by Franklin Ochoa. He added four new levels: S4, R4, BC and TC. There are many great ideas in the book, such using these levels, following trend, time price opportunity and much more. (Thanks to @tonyjab for...
The name ‘Floor-Trader Pivot,’ came from the fact that Pivot points can
be calculated quickly, on the fly using price data from the previous day
as an input. Although time-frames of less than a day can be used, Pivots are
commonly plotted on the Daily Chart; using price data from the previous day’s
trading activity.
