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Mega Trend Plus - S&P 500 Trend Follower / Market GaugeFirstly, 100% of the credit goes to Greg Morris @ Stockcharts.com for the article detailing the concept and most of the settings/components. I've simply implemented his idea. I haven't sought permission from him, but given that he was open with the components of the indicator I'm assuming he's happy for me to go ahead and code this in pinescript. See the article here: stockcharts.com Okay, so this is part of a system/indicator Greg outlined in the article that he calls Trend Gauge. The idea is fairly simple: take a group of indexes that cover the breadth of the market you want to trade, track their relationship/position to their 200 period Exponential Moving Average (EMA), and assign scores to bull/bear crosses + relative location to the EMA. Once you've normalized and aggregated the scores you finish up with a trend following indicator that works surprisingly well. This part is called Mega Trend Plus, and tracks whether an index is above or below its 200 period EMA. I'll be releasing the second part ("Trend Strength") soon. Once that's done I'll combine them to form the full "Trend Gauge" indicator. I decided to provide the base version that people can then experiment with and tweak to their liking, so Greg's version shown in the article is smoother than the one provided here. It's up to you to play with smoothing options, and potentially tweak the weightings of the various components. Please see the script for info on what the various inputs are - I've added notes there. So, how does it do? Well, as you can see from the chart above it works pretty well overall. The S&P 500 has been fairly trendy over the last few decades, so it's been prime territory for a system like this. It would have kept you out of the big bear markets (particularly GFC & 2015-16), and that's the goal of any trend-based system. They thrive on how little they lose, not necessarily on how much they make. As you can see, the indicator is pretty choppy. So it's not designed (in the current configuration) to provide accurate buy/hold/sell signals. It currently functions more as a market gauge / strength indicator. Hopefully you find this concept interesting. It's simple, but the best systems often are. Please add comments below if you come up with an interesting configuration or variation. Let me know if you have any queries. DD
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DreamsDefined tarafından
3
Bollinger + RSI Signals (by Bader Kamal)This idea originally by ChartArt on January 14, 2015 as Strategy, and I modify it to become as Signals on 26 July 2019. This signals uses a modified RSI to sell when the RSI increases over the value of 60 (or to buy when the value falls below 40), with the classic Bollinger Bands strategy to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band). This signals only triggers when both the RSI and the Bollinger Bands indicators are at the same time in a overbought or oversold condition.
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baderkamal tarafından
2
8 Pair Strength - updated by rmireland for CHF/EUR/GBPCurrency Strength meter First created by Glaz in 2015 and updated a few times by JustUncleL in 2017 , I have stripped out the plot functions and color coded results against pairs. I feel this makes the results easier to interpret. The darker the color the stronger the asset. As Pine Script only allows a maximum of outputs, I have split this into 2 Scripts to cover all 28 pairs. 8 Pair Strength - AUD/CAD/NZD/USD for AUD/CAD - AUD/CHF - AUD/JPY - AUD/NZD AUD/USD - CAD/CHF - CAD/JPY - NZD/CAD NZD/CHF - NZD/JPY - NZD/USD - USD/CAD USD/CHF - USD/JPY 8 Pair Strength - CHF/EUR/GBP for CHF/JPY - EUR/AUD - EUR/JPY - EUR/CAD EUR/CHF - EUR/NZD - EUR/GBP - EUR/USD GBP/AUD - GBP/CAD - GBP/CHF - GBP/JPY GBP/NZD - GBP/USD Enjoy
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rmireland63 tarafından
3
8 Pair Strength - updated by rmireland for AUD/CAD/NZD/USDCurrency Strength meter First created by Glaz in 2015 and updated a few times by JustUncleL in 2017 , I have stripped out the plot functions and color coded results against pairs. I feel this makes the results easier to interpret. The darker the color the stronger the asset. As Pine Script only allows a maximum of outputs, I have split this into 2 Scripts to cover all 28 pairs. 8 Pair Strength - AUD/CAD/NZD/USD for AUD/CAD - AUD/CHF - AUD/JPY - AUD/NZD AUD/USD - CAD/CHF - CAD/JPY - NZD/CAD NZD/CHF - NZD/JPY - NZD/USD - USD/CAD USD/CHF - USD/JPY 8 Pair Strength - CHF/EUR/GBP for CHF/JPY - EUR/AUD - EUR/JPY - EUR/CAD EUR/CHF - EUR/NZD - EUR/GBP - EUR/USD GBP/AUD - GBP/CAD - GBP/CHF - GBP/JPY GBP/NZD - GBP/USD Enjoy
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rmireland63 tarafından
Featherlite RSI - Extra SensitiveFeatherlite RSI - Extra Sensitive This is a combined relative strength index (RSI) ans stochastic RSI indicator set to the super sensitive period of 2 candles. I use this setting particularly on higher timeframes such as M, W, D but can also be useful on 4h. However lower timeframes, will become to noisy. If you compare to the standard setting of 14, you can see that the pump and dump structure is a lot more washed out The RSI builds up slowly from its low point in 2015 to a single maximum in 2017. This is great for charting the longer cycle (interyear bull / bear), but is of little help for charting the intermediate swings. However, by increasing the sensitivity we can see when the RSI is maxing out on an intermonth basis. And indeed this matches the actual high points of the previous bull runs very well. The indicator also includes a stochastic RSI indicator also set to the same candle period. In practice it is always good to use a range of indicators to get a feel for what is going on. This is good for intermonth cycles on M and W timeframes. For longer cycles use the standard period setting of 14.
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RealMcafee tarafından
1
Hucklekiwi Pip - HLHB Trend-Catcher SystemThe strategy was authored by Hucklekiwi Pip back in 2015 and is still being updated today. She says that the system was designed to simply catch short-term forex trends. At its heart, the system is a simple EMA crossover strategy with a couple of other indicators used for confirming entries. Strategy Rules See her original post here: www.babypips.com Be sure to check out the updates and tweaks over the years! HOW TO USE For full information on how to use this strategy and how to correctly set the exit time, see this post: backtest-rookies.com
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BacktestRookies tarafından
8
Ehlers Decycler OscillatorThis indicator was originally developed by John F. Ehlers (Stocks & Commodities , V.33:10 (September, 2015): "Decyclers"). The idea is still the same as for the Simple Decycler. Mr. Ehlers suggested to virtually eliminate lag by getting rid of the very low-frequency components. So, he applied the high-pass filter to the simple decycler. Mr. Ehlers recommended to use two instances of the Decycler Oscillator with different parameters (high-pass filter period and multiplier). As a result, he got the Decycler Oscillator pair. The first oscillator (red line) has a period of 125 bars, the second one (yellow line) has a period of 100 bars. The interpretation is straightforward: When the yellow line crosses over the red line, a trend reversal to the upside is indicated. When the yellow line crosses under the red line, a trend reversal to the downside is indicated.
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everget tarafından
8
Ehlers Simple DecyclerThis indicator was originally developed by John F. Ehlers (Stocks & Commodities, V.33:10 (September, 2015): "Decyclers"). Mr. Ehlers suggested a way to improve trend identification using high-pass filters. The basic smoothers like SMA, low-pass filters, have considerable lag in their display. Mr. Ehlers applied the high-pass filter and subtracted the high-pass filter output from the time series input. Doing these steps he removed high-frequency short-wavelength components (the ones causing the wiggles) from the time series. As a result he got a special series of the low-frequency components with virtually no lag - the Decycler. The Decycler is plotted with two additional lines (the percent-shifts of Decycler) and together they form a hysteresis band. If the prices are above the upper hysteresis line, then the market is in an uptrend . If the prices are below the low hysteresis line, then the market is in a downtrend . Prices within the hysteresis band are trend-neutral .
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everget tarafından
3
Strategy based on Squeeze Momentum Indicator [LazyBear]This Strategy is based on LazyBear Squeeze Momentum Indicator. I added some custom feature and filters. You can customize a lot of features to get a profitable strategy. Here is a link to original study. Please use comment section for any feedback. Next improvement (only to whom is interested to this script and follows me): study with alerts on multiple tickers all at one. Leave a comment if you want to have access to study. ********************************** IMPORTANT******************************* I have developed an expert advisor for metatrader4 (MT4) and for jforex platform: results of expert advisor form 2015-01-01 to 2018-11-25 are very good with low drawdown and good profit. ********************************************************************************
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03.freeman tarafından
35
ec tEST cODE FOR pERCENT DIFERENCE //////////////////////////////////////////////////////////// // Copyright by HPotter v1.0 04/04/2015 // Percent difference between price and MA //////////////////////////////////////////////////////////// study(title="Percent difference between price and MA") source = close useCurrentRes = input(true, title="Use Current Chart Resolution?") resCustom = input(title="Use Different Timeframe? Uncheck Box Above", type=resolution, defval="60") smd = input(true, title="Show MacD & Signal Line? Also Turn Off Dots Below") sd = input(true, title="Show Dots When MacD Crosses Signal Line?") sh = input(true, title="Show Histogram?") macd_colorChange = input(true,title="Change MacD Line Color-Signal Line Cross?") hist_colorChange = input(true,title="MacD Histogram 4 Colors?") res = useCurrentRes ? period : resCustom fastLength = input(12, minval=1), slowLength=input(26,minval=1) signalLength=input(9,minval=1) fastMA = ema(source, fastLength) slowMA = ema(source, slowLength) Length = input(9, minval=1) Length2= input(36,minval=1) Length3= input(81,minval=1) AveragePrice= input(9,minval=1) Length5= input(3,minval=1) xSMA = (sma(close, Length)+sma(close, Length2)+sma(close, Length3))/3 pSAM=sma(close, AveragePrice) nRes = (pSAM - xSMA) * 100 / close signalnRes = sma(nRes, signalLength) macd = nRes signal = sma(macd, signalLength) hist = macd - signal outMacD = security(tickerid, res, macd) outSignal = security(tickerid, res, signal) outHist = security(tickerid, res, hist) histA_IsUp = outHist > outHist and outHist > 0 histA_IsDown = outHist < outHist and outHist > 0 histB_IsDown = outHist < outHist and outHist <= 0 histB_IsUp = outHist > outHist and outHist <= 0 //MacD Color Definitions macd_IsAbove = outMacD >= outSignal macd_IsBelow = outMacD < outSignal plot_color = hist_colorChange ? histA_IsUp ? aqua : histA_IsDown ? blue : histB_IsDown ? red : histB_IsUp ? maroon :yellow :gray macd_color = macd_colorChange ? macd_IsAbove ? lime : red : red signal_color = macd_colorChange ? macd_IsAbove ? yellow : yellow : lime circleYPosition = outSignal // MA COLOR DEFINITION maColor = change(nRes)>0 ? green : change(nRes)<0 ? red : na mA_IsAbove = nRes> 0 mA_IsBelow = nRes< 0 plot( nRes, color=maColor, style=line, title="MMA", linewidth=2) //plot(smd and signalnRes ? signalnRes : na, title="Signal Line", color=signal_color, style=line ,linewidth=2) //plot(smd and outMacD ? outMacD : na, title="MACD", color=macd_color, linewidth=4) //plot(smd and outSignal ? outSignal : na, title="Signal Line", color=signal_color, style=line ,linewidth=2) //plot(sh and outHist ? outHist : na, title="Histogram", color=plot_color, style=histogram, linewidth=4) plot(sd and cross(outMacD, outSignal) ? circleYPosition : na, title="Cross", style=circles, linewidth=4, color=macd_color) hline(0, '0 Line', linestyle=solid, linewidth=2, color=white) //////ALERT cONDITION//// src = input(close) ma_1 = sma(src, 20) ma_2 = sma(src, 10) c = cross(ma_1, ma_2) alertcondition(c, title='Red crosses blue', message='Red and blue have crossed!') d = cross(outMacD, outSignal) alertcondition(d, title='GOING DOWN', message='SELL!') // //e = cross(outSignal, outMacD) //alertcondition(E, title='GOING UP', message='BUY!')
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ecastroy1 tarafından
@WACC Volatility Weighted PUT/CALL Positions [SPX]This indicator is based on Volatility and Market Sentiment. When volatility is high, and market sentiment is positive, the indicator is in a low or 'buy state'. When volatility is low and market sentiment is poor, the indicator is high. The indicator uses the VIX as it's volatility input. The indicator uses the spread between the Call Volume on SPX/SPY and the Put Volume. This is pulled from CVSPX and PVSPX. When volatility and put/call reaches a critical level, such as the levels present in a crisis or a sell off, the line will be green. See Sept 2015, 2008, and Feb 2018. This level can be edited in the source code. As the indicator is based on Put/Call, the indicator works best on larger time frames as the put/call ratio becomes a more discernible measure of sentiment over time.
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UnknownUnicorn2421992 tarafından
1
Kripto Index (KRIN) [WOZDUX]Created cryptocurrency index in the image and likeness of the Dow Jones. for this we have created a virtual cryptoperthite. This portfolio was formed on 7-08-2014, when allegedly purchased for 1 thousand dollars of each cryptocurrency. On that date, make a certain quantity amount of cryptocoins depending on the value. If bought 5 coins, then spent 5 thousand dollars. In the future, we calculate the current value of this portfolio and divide by 5000 to get a parameter showing how much the value of this crypto-portfolio has dared. I used two dates. The first date is August 7, 2014 and 5 coins were used, the second date is January 1, 2015 and 6 coins were used. The green line corresponds to the first date and the blue line corresponds to the second date. Thus, we obtain two variants of the crypto index. With this crypto index ( abbreviated name-KRIN), you can observe the aggregate price movement of the crypto community.
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wozdux tarafından
Mayer Multiple + Bollinger Bands: NVDAAs requested by Parabolic Trav, this is an experiment to adapt the Mayer Multiple to other assets displaying parabolic growth trends. It builds upon previous work by using Bollinger Band-style indicators based on the moving average of the multiple as indicator thresholds, rather than simply a value on the Y axis or an addition to the MA as I proposed here . This greatly increases the adaptability of the multiple to assets other than BTC. As per the above chart, it does seem that the standard deviation lines can function as areas of support and resistance, as the multiple bounces off the lower 2SD in late 2008, and interacts with the upper 1SD multiple times through 2015-2017. - Shlomo Klahr
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UnknownUnicorn1513138 tarafından
2
BUY & SELL PRESSURE XeLMod V2BUY & SELL PRESSURE Oscillator Ver. 2.0 XelMod WHAT'S THIS? This is an UPDATED version of a previous script already posted. List of changes from previous script: Separated as Column Histogram just the Regressive (Rate-Of-Change) Force of the indicator which gives a faster response of the trend. Default period is now set to 81, as better Oscillator swing lagging. This is an excelent momentum indicator very similar to ADX but in a candle weighting distribution rather than ranges. For additional reference: Karthik Marar BUY AND SELL PRESSURE INDICATORS. Cheers! Any feedback will be welcome... @XeL_Arjona
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xel_arjona tarafından
2
BUY & SELL PRESSURE by RegressionBUY & SELL PRESSURE by Regression Analysis at candle price/volume (Rate-Of-Change) Ver. 3 By Ricardo M Arjona @XeL_Arjona DISCLAIMER: The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. WHAT'S THIS? This is my 3rd. revision of the original implementation for AmiBroker by Karthik Marar's of it's BUY AND SELL PRESSURE INDICATORS but this time, constructed under a complete REGRESSIVE ANALYSIS premise based in Rate Of Change (A kind of Slope but measured in % Performance). Some minimal adaptation's (and cleaning) have been made: Instead of simple Range calculation at price, Rate Of Change (Regressive) is used. Oscillator of Pressure can be deactivated in favor of a simple RoC Cumulative Pressures at candle. Oscillator can read Volume data from external tickers for accurate Index calculation. ( NYA can use TVOL as example.) Code is small, cleaner and faster =) ! Cheers! Any feedback will be welcome... @XeL_Arjona
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xel_arjona tarafından
2
EVWMA Acc/Dist. Pressure & FRACTAL BANDS by @XeL_ArjonaEVWMA ACCUMULATION/DISTRIBUTION PRESSURE & FRACTAL BANDS Version: 3.0 @ 4.11.2015 By Ricardo M Arjona @XeL_Arjona DISCLAIMER: The following indicator IS NOT INTENDED TO BE A FORMAL INVESTMENT ADVICE OR TRADING RECOMMENDATION BY THE AUTHOR, nor should be construed as such. Users will be fully responsible by their use regarding any kind of trading vehicles or assets. The following script and ideas within this work are FREELY AND PUBLICLY availables on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. -== IMPORTANT: THIS IS AN EXPERIMENTAL INDICATOR ==- What is this? This work is a derivation of my previous Accumulation/Distribution scripts publicly available in TradingView in an effort to clean, speedup and make the indicator cleaner as possible. The current indicator is based on already tested and Mathematically proof concepts as described below: The MAIN Rolling back median line or "Vortex" is constructed by a simple and equal weighting of distributed volume along the candle range (This approach is just an "estimator" of Buyers Vs. Sellers given the lack of tick resolution in TradingView, a real "DELTA" can only be 100% reliable with Market Depth (Ask/Bid ticks)), Given this, with each "volume weights", the price is post-processed against a true statistical Average calculation formerly: ELASTIC VOLUME WEIGHTED MOVING AVERAGE. The FRACTAL BANDS are just Standard Deviation's with GOLDEN RATIO as multiplier (1.618) derived one from each other within it's origin on the former "Vortex Median". The Standard Error Bands comply as the original indicator described by Jon Andersen but given the true statistical nature of EVWMA, the original LinReg line has been substituted by the former. ALL NEW IDEAS OR MODIFICATIONS to this indicator are welcome in favor to deploy a better technical tool. Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView user rules. (C) 2015 @XeL_Arjona
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xel_arjona tarafından
7
Simple RSI-MA Algo Beats DOW By Huge Margin Over Past 100 Years!This simple RSI-MA long/short algorithm beats the Dow by a FREAKING HUGE margin over the past century (excluding dividends and trading costs). The algorithm uses a fast SMA of the RSI as a buy/cover signal and a slow SMA of the RSI as a sell/short signal. Backtest period = 09/17/1916 - 11/02/2015 Dow = 98 --> 17,830 = +18,094% = 5.38% CAGR Algorithm = net profit + open P/L = +43,349% = 6.31% CAGR Notice how the algorithm dodged both the 30s' Great Depression and the 2008 Crisis. Pretty cool huh? :) ALGORITHM'S FORMULA (use weekly chart): Buy/Cover = MA10(RSI10) cross> 50 Sell/Short = MA50(RSI10) cross< 50 STRATEGY TESTER'S SETTINGS: - Initial cash = $10,000 - Pyramiding disabled - Re-investment enabled (order size = 100% of equity ) - Trade re-calculations disabled DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
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Stable_Camel tarafından
5