Magic Moving Averages!Magic Moving Averages! is an indicator that comes standard in many forex trading platforms, and now on Tradingview designed for comfortable readability! It incorporates a series of simple moving averages plotted together with increasing periods. Finding a good trade with this is easily found with a set of rules. I took a course with Alex du Plooy on these rules and am using his suggested default values, however there are many more teachers of this method that have various rules that may be similar. If you desire a greater MA spread simply increase the MA Separation value in the input. Best for 15 mins or longer charts.
Happy trading
Moving
Recursive Moving Trend Average Taken from an article "The Yen Recused" in the December 1998 issue of TASC,
written by Dennis Meyers. He describes the Recursive MA in mathematical terms
as "recursive polynomial fit, a technique that uses a small number of past values
of the estimated price and today's price to predict tomorrows price."
Combo IndicatorFor easier setup, this script combines 5 indicators. 3 simple moving averages, 1 EMA and Bollinger Bands. These are common indicators that are that often used and discussed on OptionsPlayers.com
Multiple Moving AverageCombines 3 moving average plot lines into one indicator for easy configuration
Moving average deviation rateMoving average deviation rate
Simple moving average deviation rate and standard deviation.
The bollinger band is momentum value standard devition.
Bat the bollinger band is not normal distribution to close price.
Moving average deviation rate is normal distribution.
This indicator is draw Moving average deviation rate and fill area 2σ standard devition.
If it exceeds 2σ, it is a trading opportunity.
移動平均かい離率と、２σのバンドです。
ボリンジャーバンドは移動量の標準偏差を描画しますが、終値はボリンジャーバンドに対して正規分布を描きません。
移動平均かい離率は、標準偏差に対して正規分布を示します。
かい離率２σを超えた場合、トレードチャンスです。
Super Guppy MMA [MFWIC]I compiled the new and improved Guppy Multiple Moving Averages. Hope it has some value. Plan your trade and trade your plan!
Easy Multiple Moving AveragesFor easy one on/off clicking. Don't waste your time clicking multiple times.
Multiple Moving Averages using only 1 Indicator!Multiple moving averages in one indicator, so those of you without a pro membership can add multiple moving averages to your chart while only taking up 1 of the 3 indicators.
Triple EMA difference colors - GcNaif PandorraTriple EMA difference colors
* choose colors on your choice
* choose wave count on your choice
Projected high moving stocks based on daily ATRMay be used to find out stocks that have a "relatively" high ATR thereby signifying that it is susceptible to similar moves in the future.
Prime Fib AvgsHey all,
Just thought some might find it useful to have a script of the first 7 numbers that are both fibonacci and that are prime numbers as simple moving averages and as exponential averages.
If anyone wants any other average type added to this script I can put out another version
Happy trading,
Snoop
EMA Time-FrameThis EMA allows you to specify a time-frame for the price used to calculate the moving average. For example, you can create 1 hour EMAs on your 5 minute chart.
NOTE: This indicator only works on intraday charts. The time-frame specified for the indicator must be greater than or equal to the time-frame of the chart.
Function - Regressively Weighted Moving AverageEXPERIMENTAL:
Weights its self value by X against 1 time the current price.
Adam Smith - MovingAvg CrossSimple Moving Average Cross script. Test on stocks and currency. For stocks test shorter time periods, meaning intra-day time periods such as 3min to 30min and so on to fit what is best. For currency, try longer periods with this model such as day to weeks depending on which currency.
NOTE: Take a look at your Max Drawdowns when testing. This will be the main indicator once you figure out your time period for backtesting. This will also let you know how much money to save and/or hold back in savings for down periods.
FRAMA (Ehlers true modified calculation)Credit goes to Shizaru for the original calculation. I made just a few fixes, so that the calculation is really that of Ehlers.
Fixed H2 and L2 period, fixed w natural logarithm
Kaufman Adaptive Moving Average (day)The KAMA will not change when the interval changes from day to something like 5 minutes or 30 minutes. Allows for more precise trading with the same indicator on a different interval.
Kaufman Adaptive Moving AverageFrom Stockcharts.com:
"Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements."
This is different from other users' KAMA's because it allows the user to adjust more parameters that can adjust the indicator in more precise ways without needing to change the source code.
SS420FXTwo Moving_Average cross's & Daily_Candle cross
Based on Hull_MA
Developed by Alan Hull, it is an indicator, that solves the problem with making a moving average more reactive to current price activity. The Hull Moving Average almost eliminates lag and manages to improve smoothing.
The HMA manages to stick to rapid changes in price activity, as it has superior smoothing over a Simple Moving Average of the same period. The HMA employs Weighted Moving Averages (WMA) and dampens the smoothing effect. It can be calculated as follows:
HMA(n) = WMA(2*WMA(n/2) – WMA(n)), sqrt(n))
SS420FXTwo Moving_Average cross's & Daily_Candle cross
Based on Hull_MA
Developed by Alan Hull, it is an indicator, that solves the problem with making a moving average more reactive to current price activity. The Hull Moving Average almost eliminates lag and manages to improve smoothing.
The HMA manages to stick to rapid changes in price activity, as it has superior smoothing over a Simple Moving Average of the same period. The HMA employs Weighted Moving Averages (WMA) and dampens the smoothing effect. It can be calculated as follows:
HMA(n) = WMA(2*WMA(n/2) – WMA(n)), sqrt(n))
