Adaptivelookback — Indicators and Strategies

DynamicFunctions Library "DynamicFunctions" Custom Dynamic functions that allow an adaptive calculation beginning from the first bar RoC(src, period) Dynamic RoC Parameters: src (float) : and period Custom function to calculate the actual period considering non-na source values period (int) dynamicMedian(src, length) Dynamic Median Parameters: src (float) : and length length (int) kernelRegression(src, bandwidth, kernel_type) Dynamic Kernel Regression Calculation Uses either of the following inputs for kernel_type: Epanechnikov Logistic Wave Parameters: src (float) bandwidth (int) kernel_type (string) waveCalculation(source, bandwidth, width) Use together with kernelRegression function to get chart applicable band Parameters: source (float) bandwidth (int) width (float) Rsi(src, length) Dynamic RSI function Parameters: src (float) length (int) dynamicStdev(src, period) Dynamic SD function Parameters: src (float) period (int) stdv_bands(src, length, mult) Dynamic SD Bands Parameters: src (float) length (int) mult (float) Returns: Basis, Positive SD, Negative SD Adx(dilen, adxlen) Dynamic ADX Parameters: dilen (int) adxlen (int) Returns: adx Atr(length) Dynamic ATR Parameters: length (int) Returns: ATR Macd(source, fastLength, slowLength, signalSmoothing) Dynamic MACD Parameters: source (float) fastLength (int) slowLength (int) signalSmoothing (int) Returns: macdLine, signalLine, histogram

Adaptive-Lookback Stochastic [Loxx]Adaptive-Lookback Stochastic is an adaptive stochastic indicator. The Adaptive lookback is truly a market-driven period input used to determine the variable lookback period for many different indicators, instead of a traditional, fixed figure. It is based on the frequency of market swings - the time between swing highs or swing lows. A swing high is defined as two consecutive higher highs followed by two consecutive lower highs; a swing low is defined by two consecutive lower lows followed by two consecutive higher lows. As swing points typically accompany reversals, they occur more frequently in choppier and volatile markets than in trends. Adaptive lookback period is determined as : Determine the initial number of swing points (swing count parameter) to use in the calculation. Count the number of price bars it takes for the n swing points to form. Divide step 2 by step 1 and round the result. As an addition, adjust the "speed" of the produced period using the speed parameter - the smaller the speed parameter, the "slower" the average, and vice versa Included Bar coloring Loxx Expanded Source Types 3 types of signals: levels crosses, slope, and middle crosses Alerts

Adaptive-Lookback CCI w/ Double Juirk Smoothing [Loxx]Adaptive-Lookback CCI w/ Double Juirk Smoothing is a CCI indicator with Adaptive period inputs. The adaptive calculation in this case is the count of pivots in historical bars. This indicator is also double smoothing using Jurik smoothing to reduce noise and refine the signal. What is CCI? The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels. What is Jurik Volty used in the Juirk Filter? One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive. What is the Jurik Moving Average? Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines. Included: Bar coloring 3 signal variations w/ alerts

True Adaptive-Lookback Phase Change Index [Loxx]Previously I posted a Phase Change Index using Ehlers Autocorrelation Periodogram Algorithm to tease out the adaptive periods. You can find the previous version here: . This new version is also adaptive but uses a different method to derive the adaptive length inputs. This adaptive method derives period inputs by counting pivots from past candles. This version also relies on Jurik Smoothing to generate the final signal. I named this one "true" because I should have specified in the previous PCI's title that it's powered by Ehlers Autocorrelation Periodogram. Additionally, you'll notice the ALB algorithm has changed from other indicators, This is restrict the range of possible ALB period outputs to a specific range so the indicator is usable. And remember, this is an inverse indicator. This means that small values on the oscillator indicate bullish sentiment and higher values on the oscillator indicate bearish sentiment. What is the Phase Change Index? Based on the M.H. Pee's TASC article "Phase Change Index". Prices at any time can be up, down, or unchanged. A period where market prices remain relatively unchanged is referred to as a consolidation. A period that witnesses relatively higher prices is referred to as an uptrend, while a period of relatively lower prices is called a downtrend. The Phase Change Index ( PCI ) is an indicator designed specifically to detect changes in market phases. This indicator is made as he describes it with one deviation: if we follow his formula to the letter then the "trend" is inverted to the actual market trend. Because of that an option to display inverted (and more logical) values is added. What is the Jurik Moving Average? Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines. Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun. That's why investors, banks and institutions worldwide ask for the Jurik Research Moving Average ( JMA ). You may apply it just as you would any other popular moving average. However, JMA's improved timing and smoothness will astound you. What is adaptive Jurik volatility One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive. Included: Bar coloring 2 signal variations w/ alerts

Variety RSI of Adaptive Lookback Averages [Loxx]Variety RSI of Adaptive Lookback Averages uses an adaptive lookback algorithm in order to determine dynamic length inputs to get used to smooth the input price source before calculating your choice of 6 different types of RSI. This ALB algorithm counts bars back until X many swing counts are reached. Included: Bar coloring 2 signal variations w/ alerts

+ Ultimate MA What is the "Ultimate MA" exactly, you ask? Simple. It actually takes as its influence the Rex Dog Moving Average (which I have included as an MA in some of my other indicators), an invention by xkavalis that is simply an average of different length moving averages. It's available for free on his account, so take a look at it. I've recently become drawn to using fibonacci sequence numbers as lookbacks for moving averages, and they work really well (I'm honestly beginning to think the number doesn't matter). You can see where this is going. The Ultimate MA is an average of several (eight) moving averages of varying lengths (5 - 144) all of fibonacci numbers. Sounds pretty basic, right? That's not actually the case, however. If you were to take all these numbers, add them up, then average them by eight you'd get ~46. Now, stick a 46 period moving average on the chart and compare it to this one and see what you get. They track price very differently. Still, this all sort of sounds like I'm copying the RDMA, which isn't a sin in itself but is hardly grounds for releasing a new MA into the wild. The actual initial problem I wanted to tackle was how to take in to account for the entire range of price action in a candle in a moving average. ohlc4 sort of does this, but it's still just one line that is an average of all these prices, and I thought there might be a better way not claiming that what I came upon is, but I like it). My solution was to plot two moving averages: one an average of price highs, and the other an average of lows, thus creating a high/low price channel. Perhaps this is not a new thing at all. I don't know. This is just an idea I had that I figured I could implement easily enough. Originally I had just applied this to a 21 period EMA, but then the idea sort of expanded into what you see here. I kept thinking "is 21 the best?" What about faster or slower? Then I thought about the RDMA and decided on this implimentation. Further, I take the high and low moving averages and divide them by two in order to get a basis. You can turn all this stuff on or off, though I do like the default settings. After that I wanted to add bands to it to measure volatility. There is an RDMA version that utilizes ATR bands, but I could never find myself happy with these. I just wanted something... else. I also, actually made my own version of xkavalis' RDMA bands with some of the extra stuff I included here, but obviously didn't feel comfortable releasing it as an indicator as I hadn't changed it enough significantly in my mind to fairly do so. I eventually settled on Bollinger Bands as an appropriate solution to apply to the situation. I really like them. It took some fiddling because I had to create a standard deviation for both the high and low MAs instead of just one, and then figure out the best combination of moving averages and standard deviations to add and subtract to get the bands right. Then I decided I wanted to add a few different moving averages to choose from instead of just an EMA even though I think it's the "best." I didn't want to make things too complicated, so I just went with the standards--EMA, SMA, WMA, HMA-- + 1, the ALMA (which gives some adjustability with its offset and sigma). Also, you can run more than one moving average at a time (try running an HMA with a slower one). Oh yeah, the bands? You can set them, in a dropdown box, to be based on which ever moving average you want. Furthermore, this is a multi-timeframe indicator, so if you want to run it on a higher time frame than the one you are trading on, it's great for that. ALSO, I actually have the basis color setup as multi-timeframe. What this means is that if you are looking at an hourly chart, you can set the color to a 4h (or higher) chart if you want, and if the current candle is above or below the previous close of the basis on that higher timeframe you will know simply by looking at the color of it ((while still being on the hourly chart). It's just a different way of utilizing higher timeframe information, but without the indicator itself plotted as higher timeframe. I'm nearly finished. Almost last thing is a 233 period moving average. It's plotted as an average of the SMA, EMA, and Kijun-sen. Lastly, there are alerts for price crossing the inner border of the bands, or the 233 MA. Below is a zoomed in look at a chart. Much credit and gratitude to xkavalis for coming up with the idea of an average of moving averages.