Mulai

Average

CM ATR Stops/Bands - Multi-TimeFrameCM_MTF ATR Bands/Stops Many Options Available Via Input Tab: -Chart Defaults to Upper and Lower ATR's Based on Current Chart TimeFrame -Ability to Plot either Upper and/or Lower ATR's -Ability to Change the Time Frame ATR's are Based On! -Ability to change Look Back Period and ATR Multiplier Individually for Both Time Frames -This Gives you the ability to plot same Time Frame with (for ex.) a 5 ATR with a 1.5 Mult and a 14 ATR with a 2.0 Mult etc. -Or you can plot Daily ATR's on a 60 minute Chart etc. -ATR Multipliers are Calculated with Code that allows "Non Whole Numbers" Allowing Ability to use 1.5 ATR's, 1.8 ATR's etc. ***Endless # of Combinations can be used!!!!
Indikator Pine Script®
oleh ChrisMoody
12
Kaufman Moving Average Adaptive (KAMA) Everyone wants a short-term, fast trading trend that works without large losses. That combination does not exist. But it is possible to have fast trading trends in which one must get in or out of the market quickly, but these have the distinct disadvantage of being whipsawed by market noise when the market is volatile in a sideways trending market. During these periods, the trader is jumping in and out of positions with no profit-making trend in sight. In an attempt to overcome the problem of noise and still be able to get closer to the actual change of the trend, Kaufman developed an indicator that adapts to market movement. This indicator, an adaptive moving average (AMA), moves very slowly when markets are moving sideways but moves swiftly when the markets also move swiftly, change directions or break out of a trading range.
Indikator Pine Script®
oleh HPotter
31
T3 3 Averages This function is an Pine version of the moving average described in the January, 1998 issue of S&C magazine, p.57, "Smoothing Techniques for More Accurate Signals", by Tim Tillson. It is translated from the MetaStock code presented in the article. The function uses a version of the XAverage, written by me, which allows variables as inputs. The most popular method of interpreting a moving average is to compare the relationship between a moving average of the security's price with the security's price itself (or between several moving averages).
Indikator Pine Script®
oleh HPotter
10
T3 Average This indicator plots the moving average described in the January, 1998 issue of S&C, p.57, "Smoothing Techniques for More Accurate Signals", by Tim Tillson. This indicator plots T3 moving average presented in Figure 4 in the article. T3 indicator is a moving average which is calculated according to formula: T3(n) = GD(GD(GD(n))), where GD - generalized DEMA (Double EMA) and calculating according to this: GD(n,v) = EMA(n) * (1+v)-EMA(EMA(n)) * v, where "v" is volume factor, which determines how hot the moving average’s response to linear trends will be. The author advises to use v=0.7. When v = 0, GD = EMA, and when v = 1, GD = DEMA. In between, GD is a less aggressive version of DEMA. By using a value for v less than1, trader cure the multiple DEMA overshoot problem but at the cost of accepting some additional phase delay. In filter theory terminology, T3 is a six-pole nonlinear Kalman filter. Kalman filters are ones that use the error — in this case, (time series - EMA(n)) — to correct themselves. In the realm of technical analysis, these are called adaptive moving averages; they track the time series more aggres-sively when it is making large moves. Tim Tillson is a software project manager at Hewlett-Packard, with degrees in mathematics and computer science. He has privately traded options and equities for 15 years.
Indikator Pine Script®
oleh HPotter
15