Momentum adjusted Moving Average by DGTA brand new Moving Average , calculated using Momentum, Acceleration and Probability (Psychological Effect).
Momentum adjusted Moving Average(MaMA) is an indicator that measures Price Action by taking into consideration not only Price movements but also its Momentum, Acceleration and Probability. MaMA, provides faster responses comparing to the regular Moving Average
Here is the math of the MaMA idea
Momentum measures change in price over a specified time period
momentum = source – source(length)
where,
source, indicates current bar’s price value
source(length), indicates historical price value of length bars earlier
Lets play with this formula and rewrite it by moving source(length) to other side of the equation
source = source(length) + momentum
to avoid confusion let’s call the source that we aim to predict as adjustedSource
adjustedSource = source(length) + momentum
looks nice the next value of source simply can be calculated by summing of historical value of the source value and value of the momentum. I wish it was so easy, the formula holds true only when the momentum is conserved/constant/steady but momentum move up or down with the price fluctuations (accelerating or decelerating)
Let’s add acceleration effects on our formula, where acceleration is change in momentum for a given length. Then the formula will become as (skipped proof part of acceleration effects, you may google for further details)
adjustedSource = source(length) + momentum + 1/2 * acceleration
here again the formula holds true when the acceleration is constant and once again it is not the case for trading, acceleration also changes with the price fluctuations
Then, how we can benefit from all of this, it has value yet requires additional approaches for better outcome
Let’s simulate behaviour with some predictive approach such as using probability (also known as psychological effect ), where probability is a measure for calculating the chances or the possibilities of the occurrence of a random event. As stated earlier above momentum and acceleration are changing with the price fluctuations, by using the probability approach we can add a predictive skill to determine the likelihood of momentum and acceleration changes (remember it is a predictive approach). With this approach, our equations can be expresses as follows
adjustedSource = source(length) + momentum * probability
adjustedSource = source(length) + ( momentum + 1/2 * acceleration ) * probability , with acceleration effect
Finally, we plot MaMA with the new predicted source adjustedSource, applying acceleration effect is made settable by the used from the dialog box, default value is true.
What to look for:
• Trend Identification
• Support and Resistance
• Price Crossovers
Recommended settings are applied as default settings, if you wish to change the length of the MaMA then you should also adjust length of Momentum (and/or Probability). For example for faster moving average such as 21 period it would be suggested to set momentum length to 13
Alternative usage , set moving average length to 1 and keep rest lengths with default values, it will produce a predictive price line based on momentum and probability. Experience acceleration factor by enabling and disabling it
Conclusion
MaMA provide an added level of confidence to a trading strategy and yet it is important to always be aware that it implements a predictive approach in a chaotic market use with caution just like with any indicator
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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KINSKI Flexible MACDFlexible MACD (Moving Average Convergence/Divergence) Indicator
The Moving Average Convergence Divergence consists of three elements: two moving averages (the MACD line and the signal line) and a histogram. The blue MACD line is the difference between a longer and a shorter EMA (here 13 and 21 periods preset), the red signal line is an SMA (here 8 preset) on the MACD line. The histogram (green: ascending, red: descending) shows the difference between both lines.
As soon as the blue MACD line crosses the red signal line, circles are generated that indicate an up/down trend. If the red signal line is greater than or equal to the blue MACD line, this indicates a downward trend (red circle). If the blue MACD line is greater than or equal to the red signal line, this indicates an upward trend (green circle).
The special thing about this MACD indicator is the many setting options, especially the definition of the MA variants for MACD (Fast, Slow) and signal. You can define the following MA types: "COVWMA", "DEMA", "EMA", "EHMA", "FRAMA", "HMA", "KAMA", "RMA", "SMA", "SMMA", "VIDYA", "VWMA", "WMA".
You also have the following display options:
- "Up/Down Movements: On/Off" - Shows ascending and descending MACD, signal lines
- "Up/Down Movements: Rising Length" - Defines the length from which ascending or descending lines are detected
- "Bands: On/Off" - Fills the space between MACD and signal lines with colors to indicate up or down trends
- "Bands: Transparency" - sets the transparency of the fill color
Disclaimer: I am not a financial advisor. For purpose educate only. Use at your own risk.
Three EMA Scalp Signals by kmderhamThis script looks for a set up condition where 5 consecutive candles have broken away from the fast EMA (set to 8 by default) followed by a "trigger" candle that crosses back over the fast EMA but not the medium EMA (set to 13 by default). It then determines the entry point based on the bar high or low (not tail or wick) depending on direction of the trend. Once the entry point is crossed, we can enter the position. Win or loss is determined whether the lower or upper levels are crossed (as per trend). After the position is won or lost and if the entry level is re-crossed before a new set up condition is found then a new entry signal is given.
Please note that this should really be used in conjunction with a higher timeframe "Anchor" chart with a fast and a slow EMA so setups and positions should should correspond to the trend of the higher timeframe chart. This was designed for a 5 minute timeframe and a 60 minute anchor chart.
jlmora ADX IndicatorThe ADX also informs us of the prevailing market trend through the positive / negative movement indicators. Being able to determine the existence of a trend in the market and its strength is fundamental, since not all indicators or systems work correctly in different types of markets.
1. Operate only from long positions when the positive directional line is above the negative. Trade only from short positions when the negative directional line is above the positive. The best time to trade is when the ADX is on the rise, showing that the dominant group is strengthening.
2. When the ADX falls, it shows that the market is becoming less discretionary. There are likely to be a few unexpected turns. When the ADX points down, it is preferable not to use trend tracking methods.
3. When the ADX falls below both directional lines, this identifies a flat and sleepy market. Do not use a trend tracking system, but be prepared to trade as major trends emerge from such calm periods.
4. The best individual directional signal is given after the ADX falls below both directional lines. The longer it stays there, the stronger the base of the next move will be. When the ADX rebounds from below both directional lines, it shows that the market is waking up from a calm period. When the ADX grows four or more steps (for example, 9 to 13) from its lowest point below both directional lines, it is "ringing the bell" on a new trend. It shows that a new bull or bear market is emerging, depending on which directional line is above it. When the ADX rebounds above both directional lines, it is identifying an overheated market. When the ADX crosses both directional lines down, it shows that a major trend has entered. It is a good time to collect benefits in a directional operation. If you trade from long positions, you will definitely want to pick up partial gains. Market indicators give strong signals and weak signals. For example, when a moving average changes direction, it is a strong signal. A downward inflection of the ADX is a weak signal. Once you see that the ADX has been turned down, you should be very careful adding to open positions. You should start to collect profits, reduce positions and try to exit.
ADX_ProFirst Thank you very much "TradingView" for providing such a Wonderful plateform.
Also very thankful to all TradingView's known & unknown authors who provides superb learnings.
Special thanks to "Mr.Bharat Jhunjhunwala" who provides a Superb learnings and Great inspirations always.
ADX_Pro is just an Average Directional Index with default settings as:
ADX length = 8
DMI length = 13
Should Above Band Level = 20
with marked (adjustable with seetings) level from which ADX should be above for our trade set up.
SupertrendIndicatorSupertrend (13,2.5) & Supertrend (18,3) are best for intraday.
Loving the signals.
Ehlers Super PassBand Filter [CC]The Super PassBand Filter was created by John Ehlers (Stocks & Commodities V. 34:07 (10–13)) and this is a pretty useful indicator to let you know how volatile the market is right now. This is useful for scalpers because this lets you avoid the choppy markets (usually when the rms is 1.50 or less but feel free to choose your own level) and gives you good entry and exit points. Buy when the indicator line is green and sell when it is red.
Let me know if there are other indicators you would like to see me publish or if you want something custom done!
RSI Pullback Trend Trading Indicator (LONG Only)***Use at your own risk***
***This is for testing and education only***
I suggest that you also manually add the RSI(5,3,3) on your main chart for analysis.
You can change the settings, but these are the defaults:
Default Main Timeframe = Daily
Default Secondary TimeFrame = Weekly (use around 5X your main timeframe, to check the longer term trend)
Default Stochastic settings ( 5, 3 , 3)
Default Fast EMA : 13
Default Slow EMA : 22
Default ATR : 14
Conditions to show buying signal on main TimeFrame. (Yellow Triangle)
- Check if the MACD Histogram is rising on the secondary timeframe.
- Check if the Stochastic on the main timeframe is below 20.
When deciding to buy, you can use the ATR channels to determine the stop loss and profit target.
TMsMAsFour Fibonacci Exponential Moving Averages (5, 13, 21, 34) in addition to the 50-length Exponential Moving Average and the 200 Simple Moving Average
FauxLife EFIModification to Elder's Force Index (EFI)
Ability to change calculation from standard EMA to your choice of SMA, EMA, WMA, or HMA. Very interesting results!
Adjust lookback from standard/suggested 13 candlesticks
Added a color indication to positive or negative force reading
Added background color tint for an easier read on dashboard setups
Suggested pair with my On Balance Volume with Cross to use as a filter & entry/exit setup. Enter or exit trades when the two indicators switch at the same time or within 1-2 candlesticks of each other.
多重平均线（Multi Moving Average）This is a Multi Moving Average indicator which redesign and translate for Chinese.
这是一个多重平均线（Multi Moving Average）指标。
本脚本的目的在于帮助使用中文的人了解该指标，特别是其用法。同时将该指标代码添加完整的中文注释，方便使用中文的人学习Pine语言。
平均线是最常用的技术分析方法之一。
本指标的特色
相对于官方提供的平均线，本版本平均线指标有两点特色：
1 可以在图表上一次显示多条（最多6条）移动平均线；
2 支持包括SMA、EMA、WMA、HMA、VWMA、RMA等多种平均线，可以根据自己的需求选择相应的平均线。
*注释
SMA：简单移动平均线
EMA：指数加权移动平均线
WMA：加权移动平均线
HMA：船体移动平均线
VWMA：成交量加权移动平均线
RMA：RSI指标中使用的移动平均线，也叫指数加权移动平均线
指标可调节参数
该指标有六个可设置的参数
1 MA1：默认为5；
2 MA2：默认为13；
3 MA3：默认为20；
4 MA4：默认为40；
5 MA5：默认为80；
6 MA6：默认为160。
本指标还有两项可选设置项
1 价格源：价格源默认使用收盘价，但是你还可以选择使用开盘价、最高价、最低价等其他的价格计算方式；
2 选择使用的MA类型；
Ultimate Moving Averages (SMA & EMA)Welcome to the Ultimate Moving Average indicator.
Never again spend time looking for EMA / SMA indicators when you can have them all in this single indicator.
Options include :
Daily Chart: Classic Golden / Death Cross - 50/D and 200/D SMA
Daily Chart: 3-day Golden / Death Cross - 150/D and 600/D SMA
Daily Chart: 140/D SMA
Daily Chart: 700/D SMA
Daily Chart: 1458/D SMA
Daily Chart: Golden Ratio Multiplier
Any Chart: Scalping
9 SMA
10 SMA
20 SMA
21 SMA
30 SMA
34 SMA
50 SMA
80 SMA
100 SMA
200 SMA
8 EMA
10 EMA
13 EMA
20 EMA
21 EMA
26 EMA
30 EMA
34 EMA
50 EMA
55 EMA
80 EMA
89 EMA
100 EMA
200 EMA
Fibonacci EMA TrendlinesSimple EMAs based on the Fibs plus the 200 EMA - Default inputs are 8,13, 21, 55, 200. Inspired by Philakones EMAs.
Trend following 3 EMA & Bullish Engulfing indicator for ForexHello world,
I now took the time and puzzled through my own indicator.
The idea:
Main "strategy" uses 3 EMAs (8, 13 and 21) to attain trend-relevant information.
Then we look for bullish & bearing engulfing candles which indicate and pullback into trend direction and a gain in momentum.
Trading purpose:
One could now enter with next open. SL at low/high of engulfing candle. TP at e.g. 1.25 of that candles size.
Security:
There are two security functions build in.
We check for higher timeframe confirmation.
This is done by checking if current trend is in accordance with the EMA of the next higher timframe.
Standard-deviation is 3 on default. Can be changed in the inputs.
Alerts:
Until now there is just one alertcondition programmed.
It alerts for every engulfing candle (bullish and bearish).
More will follow in further versions.
Inputs:
I build in multiple inputs.
- switch on/off the security EMA's
- define security trend backcheck
- define the higher timeframe (15min/1h, 1h/240, 4h/D, D/W)
Happy to take feedback or contr.
All the best,
c4ss10p314
GM 2 EMA Cross + BBScript for seeing the below EMAs
3
5
13
50
100
This also plots a red cross when -ve crossover of 3 by 5 EMA & green cross when +ve crossover of 3 by 5 EMA
Bollinger Bands
2
3
Elder Impulse SnapshotNASDAQ:AMZN
I've always been intrigued by the Elder Impulse System but found it labour intensive with its flipping back and forth between daily and weekly charts. I also wasn't fond of the way it repainted the candlesticks. So I set out to build a version where you could get every trade signal filtered down in one chart and still see the real price action.
This article provides a decent overview of the original system: www.investopedia.com
Elder Impulse Snapshot uses two EMAs and two MACDs, one of each to process both the daily and weekly data. The daily data gets an EMA of 13 periods and the standard MACD settings. For the weekly info, the EMA is set to 65 periods and all the MACD values are also multiplied by five (60, 130, 45). Buy signals are generated when both EMAs and both MACD histograms are rising. When all four of these elements are falling, sell signals are generated. If any of the indicators disagree, no signal is generated and entering any trade is not advised.
The blue and red arrows are the buy and sell signals. From my reading, it appears Dr. Elder recommended exiting the trade as soon as the system no longer generated a signal, though the case could be made for taking partial profit and moving up your stop loss to ride the trend out longer provided you haven't been stopped out yet.
ADD for SPX intraday (NYSE Adv-Decl) -Tom1traderThis is the NYSE Advancers - decliners which the SPX pretty much follows. You can chart it like any index (ADD -NYSE $ADV MINUS $DECL) but I find it more useful in a separate panel with colors for direction.
The level gives an idea of days move (example: plus or minus 500 is not much movement through the session) but I follow the direction as when more stocks advance (green) or decline (red) the index tends to track it pretty closely.
On SPX, SPY and correlateds - very useful for intra-day trading (Scalping or 0DTE option trades) but not for higher time frames at all. If you chart the ADD in a chart and compare 5 minute to daily you will see what I mean.
I left it at 5 minutes timeframe which displays well on any intraday chart. You can change it by changing the "5" in the security function on line 13 to what you want ("1" 1 minute, "15" 15 minutes) or change it to timeframe.period (no quotes) so that it will follow the timeframe of the current chart. I like 5 min as it displays better on higher timeframes i.e. 15 min. or hour.
A simple moving average with a length of 10 is added to help gauge momemtum.
Hope this helps with trading or scripting ideas, questions or feed back welcome. Keep Smiling.
Golden Ratio MultiplesI call this "Phi Ribbons." The Golden Ratio, also known as Phi, is fantastic at predicting areas of price reversal.
Every moving average is a fibonacci multiple of the base function 355 SMA .
The rainbow above is an array of fibonacci multiples that are greater than one (1.618, 2, 2.618, 3, 5, 8, 13, 21)
The rainbow below is an array of fibonacci multiples that are less than one (0.786, 0.618, 0.5, 0.382, 0.236, 0.14)
Notice the precision of marking areas of potential price reversals
EASTER EGG: The two moving averages at the top of the script are 355 SMA & 113 SMA . This is one of the lowest ratios that closely approximates Pi (3.14159).
Simply plotting the 133 SMA will add a unique feature:
355/133 = 3.14159
When the 113 crosses below the 355 it tends to mark the end of major bullish impulses, and a crossover is a bullish sign.
TA Basics: Creating a Fibonacci Weighted Moving AverageIn the previous 2 posts in this series, we played around with simple math concepts to create a zero-lag moving average that can deliver fast response and less lag - that we can use to enable better trend following, or as filter / signal.
here we take a step further - instead of using equal weight for the moving average (as in the Simple moving average) or linear weights (as in the weighted moving average), we get to pick THE MAGIC SEQUENCE, Fibonacci.
we will use the Fibonacci Sequence as weights to produce our moving average - so practically, we create a "Fibonacci Weighted Moving Average" (let's call it FiMA) - and compare the result with other commonly-used moving averages of the same length
in a Fibonacci moving average, the data will be weighted based on the Fibonacci Series starting from 1 (for the furthest data point)
so for example, if we use a length of 10, the weights will be 1, 1, 2, 3, 5, 8, 13, 21, 34, 55 with the 55 being the weight applied to the most recent / current bar's selected value (close, hl2, hc3..etc) and moving backward
before i posted this script, i searched around to see if someone else has already wrote this - i found a couple, but the approach we use here in this code is different - i can't claim it to be more efficient - i honestly don't know - but the resulting code here, IMHO, is more compact and easier to integrate in other studies that you may like to put together to leverage this idea, to create your own indicators and strategies.
the reason the code here is more compact, is that it utilizes a shorter formula to calculate the FIb(n) - i included the source where i found that formula, and i tested it before using it in the code.
i also added an optional "extra smoothing" for the resulting MA, by simply calling the fima() function a second time (so like doing a 2-pass filter), with a smaller length on the result of the 1st pass. keep this smoothing small not to produce too much lag.
i like the outcome when compared to other moving averages - it has a fast response to data/trend change and less overshoot - but honesty i didn't see any real "Fibonacci Magic" :) .. but i'll leave the final judgement to those who use it - this is more of an experimental code in all cases - please feel free to use, change and share feedback.
FUNCTION: Goertzel algorithm -- DFT of a specific frequency binThis function implements the Goertzel algorithm (for integer N).
The Goertzel algorithm is a technique in digital signal processing (DSP) for efficient evaluation of the individual terms of the discrete Fourier transform (DFT).
In short, it measure the power of a specific frequency like one bin of a DFT, over a rolling window (N) of samples.
Here you see an input signal that changes frequency and amplitude (from 7 bars to 17). I am running the indicator 3 times to show it measuring both frequencies and one in between (13). You can see it very accurately measures the signals present and their power, but is noisy in the transition. Changing the block len will cause it to be more responsive but noisier.
Here is a picture of the same signal, but with white noise added.
If you have a cycle you think is present you could use this to test it, but the function is designed for integration in to more complicated scripts. I think power is best interrupted on a log scale.
Given a period (in bars or samples) and a block_len (N in Goertzel terminology) the function returns the Real (InPhase) and Quadrature (Imaginary) components of your signal as well as calculating the power and the instantaneous angle (in radians).
I hope this proves useful to the DSP folks here.
Z-HistogramIt is possible to approximate the underlying distribution of a random variable by using what is called an "Histogram". In order to construct an histogram one must first split the data into several intervals (also called bins) often of the same size and count the number of values falling within each intervals, the histogram plot is then constructed with the X axis representing the measured variable and the Y axis representing the frequency.
The proposed script aim to estimate the underlying distribution of a rolling z-score by constructing its histogram, here the histogram consist of 13 bins of width 0.5 rolling standard deviations. The length setting define the rolling z-score period, the window setting define the number of past data to be counted, finally using the "Total" option (true by default) will count all the rolling z-scores values since the first bar, in order to use the window setting make sure to uncheck the "Total" option.
DISPLAY
In order to see the entirety of the histogram make sure to double click on the indicator window and to have all the lower panels (text notes, pine editor...etc) hidden, finally make sure to zoom-in in order to see the frequency numbers displayed.
Z-Histogram on BTCUSD 15 min TF, the blue bins represent intervals situated over 0 while red bins represent intervals situated under 0. Here σ represent the X-axis in standard deviations, the histogram start with a bin situated at σ = -3 which count the number of times the rolling z-score was within -3 and -2.5, the histogram end with the bin situated at σ = 3 which count the number of time the rolling z-score was within 3 and 3.5.
It is also possible to look at the shape of the histogram without having the indicator window at full size.
INTERPREATION
An histogram can give really interesting information such as overall trend direction and strength. The direction can be measured by looking at the skewness of the histogram, with a negative skewness (the peak of the histogram situated at the right from the center) representing down-trending variations and positive skewness (the peak of the histogram situated at the left from the center) representing up-trending variations, while a symmetrical histogram could represent a ranging market. The farther away the peak of the histogram is situated from the center, the stronger the trend.
Another interesting characteristic is the tailedness of the histogram, which can give information about the cleanliness of the trend, for example a positive skew and high tailedness would represent a clean up-trend, as it could suggest less variations contrary to the main trend.
An histogram applied to the rolling z-score can give various useful information. As a recall the rolling z-score of the price measure the distance between the closing price and its moving average in term of rolling standard deviations, for example if the rolling z-score is equal to 2 it means that the closing price is currently 2 rolling standard deviations over its moving average.
Lets for example analyze the histogram using INTC 15 min tf with a window of 456 bars and rolling z-score of length = 100 in order to review longer term variations.
We can see from the histogram that the uptrend visible on the chart is represented by the bins situated over 0 having an overall higher frequency than the bins under 0, we can see that the closing price tended to stay between 1 and 1.5 rolling standard deviations over its period 100 moving average. Here bins under 0 accounts for retracements in the trend.
IN SUMMARY
An histogram can give various information regarding the price evolution of a security, the proposed script aim to plot the histogram of a rolling z-score. Now this script might not be too useful but it was fun to make, also it does not mean that an histogram is not an useful tool in the context of trading, the only thing required is a god implementation of it (like volume profiles for example)
In this post we have also reviewed some important statistical concepts such as distributions, z-score, skewness and tailedness, each being extremely important in the quantitative trading field.
Thx for reading !
Yield Curve Inversion MonitorIdentifies when the US Treasury Yield Curve inverts (2 and 10 year bond rates).
When they ‘invert’ long-term bonds have a lower interest rate than short-term bonds. In other words, the bond market is pricing in a significant drop in future interest rates (which might be caused by the US Fed fighting off a recession in the future).
In the last 50 years, every time the US treasury yield curve inverted a recession followed within 3 years. On average the S&P500 gained 19.1% following the inversion and peaked 13 months later. In other words, as far as investors are concerned, the recession began roughly one year later.
However, once the market peaks, it then drops 37.6% on average, wiping out all those gains and more.
...Looks like 2020 is shaping up to be another prime example.
Uhl MA System - Strategy AnalysisThe Uhl MA crossover system was specifically designed to provide an adaptive MA crossover system that didn't committed the same errors of more classical MA systems. This crossover system is based on a fast and a slow moving average, with the slow moving average being the corrected moving average (CMA) originally proposed by Andreas Uhl, and the fast moving average being the corrected trend step (CTS) which is also based on the corrected moving average design.
For more information see :
In this post, the performances of this system are analyzed on various markets.
Setup And Rules
The analysis is solely based on the indicator signals, therefore no spread is applied. Constant position sizing is used. The strategy will be backtested on the 15 minute time-frame. The mult setting is discarded, the default setting used for length is 100.
Here are the rules of our strategy :
long: CTS crossover CMA
short: CTS crossunder CMA
Results And Data
EURUSD:
Net Profit: $ 0.08
Total number of trades: 99
Profitability: 35.35 %
Profit Factor: 1.834
Max Drawdown: $ 0.01
EURUSD behaved pretty well, and was most of time showing long term trends without exhibiting particularly tricky structures, the moving averages still did cross during ranging phases, since march 9 we can see a downtrend with more pronounced cyclical variations (retracements) that could potentially lead to loosing trades.
BTCUSD:
Net Profit: $ 4371.57
Total number of trades: 94
Profitability: 32.98 %
Profit Factor: 1.749
Max Drawdown: $ 1409.96
The strategy didn't started well, producing its largest drawdown after only a few trades, the strategy still managed to recover. BTCUSD exhibited a strong downtrend, the strategy profited from that to recover, signals still occurred on ranging phases, and where mostly caused by a short term volatile move, unfortunately the CMA can converge toward ranging/flat price zones where false signals might occur at higher frequency.
AMD:
Net Profit: $ 16.09
Total number of trades: 95
Profitability: 29.47 %
Profit Factor: 1.288
Max Drawdown: $ 20.11
On AMD the strategy started relatively well with a raising balance, then the balance quickly fallen, this downtrend in the balance lasted quite some time (almost 48 trades), the strategy finally recovered in Nov 2019 and the balance made a new highest high at the end of February. AMD had numerous trends during the backtesting period, yet results are poor.
AAPL:
Net Profit: $ -28.17
Total number of trades: 89
Profitability: 28.09 %
Profit Factor: 0.894
Max Drawdown: $ 63.21
AAPL show the poorest results so far, with a stationary balance around the initial capital (in short the evolution of the balance is not showing any particular trend and oscillate around the initial capital value).
AAPL had some significant retracements in its up-trend, which triggered some trades (of course), and the ranging period from Jan 24 to Feb 13 heavily damaged the strategy performance, generating 6 significant loosing trades. AAPL show the worst results so far, mostly due by ranging phases.
Conclusions
The Uhl MA crossover system strategy has been tested and based on the results don't show particularly interesting performances, and might even be outperformed by simpler MA systems that prove to be more robust against ranging markets. The total number of executed trades are on average 94, and the profitability is on average 31%. The strategy might prove more interesting if we can correct the behavior of the CMA, who sometimes converged toward ranging/flat markets.
