Inizia

Cerca negli script per "信达证券能涨到50元吗"

Adaptive Ehlers Deviation Scaled Moving Average (AEDSMA)AEDSMA INTRODUCTION This indicator is a functional enhancement to “Ehlers Deviation Scaled Moving Average (EDSMA / DSMA)”. I’ve used Volume Breakout and Volatility for dynamic length adaption and further Slope too for trend evaluation. EDSMA was originally developed by John F. Ehlers (Stocks & Commodities V. 36:8: The Deviation-Scaled Moving Average). IDEA PLACEMENT I’ve traded almost every kind of market with different volatility conditions using Moving Averages. It was too much of a hassle to select and use different MA length depending upon market trend. So, the journey started with adapting Moving Averages with another parameter and that’s how “MZ SAMA ” came into being where Slope was used to adapt Adaptive Moving Average with trend change. The problem was still pretty much the same as SAMA might not be effective on every market condition. Hence, I worked on Volume to adapt Moving Averages accordingly. I cane up with “MZ RVSI ” which I used in “MZ DVAMA ” to adapt dynamic length in Adaptive Moving Average and also used “MZ RVSI " alongside Slope as confirmation of trend changes. Meanwhile, I started using DVAMA methodology on different types on Moving Averages that allow dynamic length for example Hull Moving Average, Linear Regression Curve, SMA, WMA, TMA and many more. All of my tested Mas showed too much flexibility because of volume based Adaptive length. I came across a script of “Adaptive Hull Moving Average” which pretty much used the similar methodology as DVAMA but when I looked into its depth, its volume oscillator wasn’t working at all and only volatility based dynamic length was used. It was an interesting idea so, I decided to use Volume and Volatility alongside for better results but was nearly impossible to achieve what I wanted using only Hull Moving Average. I had been using EDSMA in “MA MTF Cross Strategy” and “MZ SRSI Strategy V1.0” previously. It was the perfect choice when comparing to usage of slope on it. DSMA works perfectly as support and resistance as its Deviation Scaled. So, I tried using it to adapt dynamic length based on Volume and Volatility and I wasn’t disappointed. It worked like a charm when I adapted dynamic length between 50 and 255. DYNAMIC LENGTH BENEFITS Dynamic length adaption methodology works in a way of adapting Relatively Lower Length leading toward overfitting if trend is supported by Volume and Volatility . Similarly, adapting Relatively Higher Length leading toward underfitting if trend isn’t supported by Volume and Volatility . Dynamic length adaption makes Moving Average to work better for both Bull and Bear-runs avoiding almost every fake break-in and breakouts. Hence, adaptive MA becomes more reliable for breakout trading. MA would be more useful as it would adapt almost every chart based on its Volume and Volatility data. DYNAMIC COLORS AND TREND CORRELATION I’ve used dynamic coloring to identify trends with more detail which are as follows: Lime Color: Strong Uptrend supported by Volume and Volatility or whatever you’ve chosen from both of them. Fuchsia Color: Weak uptrend only supported by Slope or whatever you’ve selected. Red Color: Strong Downtrend supported by Volume and Volatility or whatever you’ve chosen from both of them. Grey Color: Weak Downtrend only supported by Slope or whatever you’ve selected. Yellow Color: Possible reversal indication by Slope if enabled. Market is either sideways, consolidating or showing choppiness during that period. SIGNALS Green Circle: Market good for long with support of Volume and Volatility or whatever you’ve chosen from both of them. Red Circle: Market good to short with support from Volume and Volatility or whatever you’ve chosen from both of them. Yellow Cross: Market either touched top or bottom ATR band and can act as good TP or SL. EDSMA EVELOPE/BANDS: I’ve included ATR based bands to the Adaptive EDSMA which act as good support/resistance despite from main Adaptive EDSMA Curve. DEFAULT SETTINGS I’ve set default Minimum length to 50 and Maximum length to 255 which I’ve found works best for almost all timeframes but you can change this delta to adapt your timeframe accordingly with more precision. Dynamic length adoption is enabled based on both Volume and Volatility but only one or none of them can also be selected. Trend signals are enabled based on Slope and Volume but Volatility can be enabled for more precise confirmations. In “ RVSI ” settings TFS Volume Oscillator is set to default but others work good too especially Volume Zone Oscillator. For more details about Volume Breakout you can check “MZ RVSI Indicator". ATR breakout is set to be positive if period 14 exceeds period 46 but can be changed if more adaption with volatility is required. EDSMA super smoother filter length is set to 20 which can be increased to 50 or more for better smoothing but this will also change slope results accordingly. EDSMA super smoother filter poles are set to 2 because found better results with 2 instead of 3. FURTHER ENHANCEMENTS So far, I’ve seen better results with Volume Breakout and Volatility but other parameters such as Linear Slope of Particular MA, MACD, “MZ SRSI ”, a Conditional Uptrend MA or simply KDJ can also be used for dynamic length adaption. I haven't yet gotten used to pine script arrays so, defining and using conditional operators is pretty much lazy programming for me. Would be great redefining everything through truth matrix instead of using if-else conditions.
Indicatore Pine Script®
di MightyZinger
14
High-Low IndexHello All, High-Low Index is a breadth indicator based on Record High Percent (RHP). RHP is based on new 52-week highs and new 52-week lows. RHP => 100 * (new highs) / (new highs + new lows). High-Low Index is a 10-day Simple Moving Average of the RHP, which makes it a smoothed version of RHP. You can find many articles about High-Low Index on the net. High-Low Index above 50 indicates that there are more new highs than new lows, and considered as Bullish. High-Low Index below 50 indicates that there are more new lows than new highs, and considered as Bearish. High-Low Index = 0 indicates there is no new highs (0% new highs). High-Low Index = 100 indicates that there is at least 1 new high and no new lows. and High-Low Index = 50 indicates that new highs and new lows is equal. by default 40 cryptos are used in the script and shows High-Low Index for these cryptos. but you can change them as you wish. for example you can set all of them as stocks and see High-Low Index for these stocks. You can set " Time frame " and the " Length " using the options. For example; if you set " Time frame " = 1 Week and the " Length " = 52 then it finds High-Low Index for 52weeks . or another example; if you set " Time frame " = 1 Day and the " Length " = 22 the High-Low Indexn it finds High-Low Index for 22days. You can enable/disable Record High Percent or Simple Moving Average of High-Low Index. Some traders use High-Low Index with its SMA, for example; High-Low Index generates a buy signal when it crosses above its moving average, and a sell signal when it crosses below its moving average. Optionally you can see the securities in a table on the left bottom, you can change table size by usşng the options. In the Table, for each security/cell; => if background is green then it has New High => if background is red then it has New Low => if background is gray then no New High, no New Low => if background is back then Data is not available for the security As you can see in the screenshot below, the securities were changed and stocks are used instead of cryptos, so it calculates & shows High-Low Index for these stocks. you can also find explanation in this screenshot: Enjoy!
Indicatore Pine Script®
di LonesomeTheBlue
32
Indicators Combination Framework v3 IND [DTU]Hello All, This script is a framework to analyze and see the results by combine selected indicators for (long, short, longexit, shortexit) conditions. I was designed this for beginners and users to facilitate to see effects of the technical indicators combinations on the chart WITH NO CODE You can improve your strategies according the results of this system by connecting the framework to a strategy framework/template such as Pinecoder, Benson, daveatt or custom. This is enhanced version of my previous indicator "Indicators & Conditions Test Framework " Currently there are 93 indicators (23 newly added) connected over library. You can also import an External Indicator or add Custom indicator (In the source) It is possible to change it from Indicator to strategy (simple one) by just remarking strategy parts in the source code and see real time profit of your combinations Feel free to change or use it in your source Special thanks goes to Pine wizards: Trading view (built-in Indicators), @Rodrigo, @midtownsk8rguy, @Lazybear, @Daveatt and others for their open source codes and contributions SIMPLE USAGE 1. SETTING: Show Alerts= True (To see your entries and Exists) 2. Define your Indicators (ex: INDICATOR1: ema(close,14), INDICATOR2: ema(close,21), INDICATOR3: ema(close,200) 3. Define Your Combinations for long & Short Conditions a. For Long: (INDICATOR1 crossover INDICATOR2) AND (INDICATOR3 < close) b. For Short: (INDICATOR1 crossunder INDICATOR2) AND (INDICATOR3 > close) 4. Select Strategy/template (Import strategy to chart) that you export your signals from the list 5. Analyze the best profit by changing Indicators values SOME INDICATORS DETAILS Each Indicator includes: - Factorization : Converting the selected indicator to Double, triple Quadruple such as EMA to DEMA, TEMA QEMA - Log : Simple or log10 can be used for calculation on function entries - Plot Type : You can overlay the indicator on the chart (such ema) or you can use stochastic/Percentrank approach to display in the variable hlines range - Extended Parametes : You can use default parameters or you can use extended (P1,P2) parameters regarding to indicator type and your choice - Color : You can define indicator color and line properties - Smooth : you can enable swma smooth - indicators : you can select one of the 93 function like ema(),rsi().. to define your indicator - Source : you can select from already defined indicators (IND1-4), External Indicator (EXT), Custom Indicator (CUST), and other sources (close, open...) CONDITION DETAILS - There are are 4 type of conditions, long entry, short entry, long exit, short exit. - Each condition are built up from 4 combinations that joined with "AND" & "OR" operators - You can see the results by enabling show alerts check box - If you only wants to enter long entry and long exit, just fill these conditions - If "close on opposite" checkbox selected on settings, long entry will be closed on short entry and vice versa COMBINATIONS DETAILS - There are 4 combinations that joined with "AND" & "OR" operators for each condition - combinations are built up from compare 1st entry with 2nd one by using operator - 1st and 2nd entries includes already defined indicators (IND1-5), External Indicator (EXT), Custom Indicator (CUST), and other sources (close, open...) - Operators are comparison values such as >,<, crossover,... - 2nd entry include "VALUE" parameter that will use to compare 1st indicator with value area - If 2nd indicator selected different than "VALUE", value are will mean previous value of the selection. (ex: value area= 2, 2nd entry=close, means close ) - Selecting "NONE" for the 1st entry will disable calculation of current and following combinations JOINS DETAILS - Each combination will join wiht the following one with the JOIN (AND, OR) operator (if the following one is not equal "NONE") CUSTOM INDICATOR - Custom Indicator defines harcoded in the source code. - You can call it with "CUST" in the Indicator definition source or combination entries source - You can change or implement your custom indicator by updating the source code EXTERNAL INDICATOR - You can import an external indicator by selecting it from the ext source. - External Indicator should be already imported to the chart and it have an plot function to output its signal EXPORTING SIGNAL - You can export your result to an already defined strategy template such as Pine coders, Benson, Daveatt Strategy templates - Or you can define your custom export for other future strategy templates ALERTS - By enabling show alerts checkbox, you can see long entry exits on the bottom, and short entry exits aon the top of the chart ADDITIONAL INFO - You can see all off the inputs descriptions in the tooltips. (You can also see the previous version for details) - Availability to set start, end dates - Minimize repainting by using security function options (Secure, Semi Secure, Repaint) - Availability of use timeframes - Version 3 INDICATORS LIST (More to be added): ▼▼▼ OVERLAY INDICATORS ▼▼▼ alma(src,len,offset=0.85,sigma=6).-------Arnaud Legoux Moving Average ama(src,len,fast=14,slow=100).-----------Adjusted Moving Average accdist().-------------------------------Accumulation/distribution index. cma(src,len).----------------------------Corrective Moving average dema(src,len).---------------------------Double EMA (Same as EMA with 2 factor) ema(src,len).----------------------------Exponential Moving Average gmma(src,len).---------------------------Geometric Mean Moving Average highest(src,len).------------------------Highest value for a given number of bars back. hl2ma(src,len).--------------------------higest lowest moving average hma(src,len).----------------------------Hull Moving Average. lagAdapt(src,len,perclen=5,fperc=50).----Ehlers Adaptive Laguerre filter lagAdaptV(src,len,perclen=5,fperc=50).---Ehlers Adaptive Laguerre filter variation laguerre(src,len).-----------------------Ehlers Laguerre filter lesrcp(src,len).-------------------------lowest exponential esrcpanding moving line lexp(src,len).---------------------------lowest exponential expanding moving line linreg(src,len,loffset=1).---------------Linear regression lowest(src,len).-------------------------Lovest value for a given number of bars back. mcginley(src, len.-----------------------McGinley Dynamic adjusts for market speed shifts, which sets it apart from other moving averages, in addition to providing clear moving average lines percntl(src,len).------------------------percentile nearest rank. Calculates percentile using method of Nearest Rank. percntli(src,len).-----------------------percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks. previous(src,len).-----------------------Previous n (len) value of the source pivothigh(src,BarsLeft=len,BarsRight=2).-Previous pivot high. src=src, BarsLeft=len, BarsRight=p1=2 pivotlow(src,BarsLeft=len,BarsRight=2).--Previous pivot low. src=src, BarsLeft=len, BarsRight=p1=2 rema(src,len).---------------------------Range EMA (REMA) rma(src,len).----------------------------Moving average used in RSI. It is the exponentially weighted moving average with alpha = 1 / length. sar(start=len, inc=0.02, max=0.02).------Parabolic SAR (parabolic stop and reverse) is a method to find potential reversals in the market price direction of traded goods.start=len, inc=p1, max=p2. ex: sar(0.02, 0.02, 0.02) sma(src,len).----------------------------Smoothed Moving Average smma(src,len).---------------------------Smoothed Moving Average super2(src,len).-------------------------Ehlers super smoother, 2 pole super3(src,len).-------------------------Ehlers super smoother, 3 pole supertrend(src,len,period=3).------------Supertrend indicator swma(src,len).---------------------------Sine-Weighted Moving Average tema(src,len).---------------------------Triple EMA (Same as EMA with 3 factor) tma(src,len).----------------------------Triangular Moving Average vida(src,len).---------------------------Variable Index Dynamic Average vwma(src,len).---------------------------Volume Weigted Moving Average volstop(src,len,atrfactor=2).------------Volatility Stop is a technical indicator that is used by traders to help place effective stop-losses. atrfactor=p1 wma(src,len).----------------------------Weigted Moving Average vwap(src_).------------------------------Volume Weighted Average Price (VWAP) is used to measure the average price weighted by volume ▼▼▼ NON OVERLAY INDICATORS ▼▼ adx(dilen=len, adxlen=14, adxtype=0).----adx. The Average Directional Index (ADX) is a used to determine the strength of a trend. len=>dilen, p1=adxlen (default=14), p2=adxtype 0:ADX, 1:+DI, 2:-DI (def:0) angle(src,len).--------------------------angle of the series (Use its Input as another indicator output) aroon(len,dir=0).------------------------aroon indicator. Aroons major function is to identify new trends as they happen.p1 = dir: 0=mid (default), 1=upper, 2=lower atr(src,len).----------------------------average true range. RMA of true range. awesome(fast=len=5,slow=34,type=0).------Awesome Oscilator is an indicator used to measure market momentum. defaults : fast=len= 5, p1=slow=34, p2=type: 0=Awesome, 1=difference bbr(src,len,mult=1).---------------------bollinger %% bbw(src,len,mult=2).---------------------Bollinger Bands Width. The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band. cci(src,len).----------------------------commodity channel index cctbbo(src,len).-------------------------CCT Bollinger Band Oscilator change(src,len).-------------------------A.K.A. Momentum. Difference between current value and previous, source - source . is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security cmf(len=20).-----------------------------Chaikin Money Flow Indicator used to measure Money Flow Volume over a set period of time. Default use is len=20 cmo(src,len).----------------------------Chande Momentum Oscillator. Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period. cog(src,len).----------------------------The cog (center of gravity) is an indicator based on statistics and the Fibonacci golden ratio. copcurve(src,len).-----------------------Coppock Curve. was originally developed by Edwin Sedge Coppock (Barrons Magazine, October 1962). correl(src,len).-------------------------Correlation coefficient. Describes the degree to which two series tend to deviate from their ta.sma values. count(src,len).--------------------------green avg - red avg cti(src,len).----------------------------Ehler s Correlation Trend Indicator by dev(src,len).----------------------------ta.dev() Measure of difference between the series and its ta.sma dpo(len).--------------------------------Detrended Price OScilator is used to remove trend from price. efi(len).--------------------------------Elders Force Index (EFI) measures the power behind a price movement using price and volume. eom(len=14,div=10000).-------------------Ease of Movement.It is designed to measure the relationship between price and volume.p1 = div: 10000= (default) falling(src,len).------------------------ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output) fisher(len).-----------------------------Fisher Transform is a technical indicator that converts price to Gaussian normal distribution and signals when prices move significantly by referencing recent price data histvol(len).----------------------------Historical volatility is a statistical measure used to analyze the general dispersion of security or market index returns for a specified period of time. kcr(src,len,mult=2).---------------------Keltner Channels Range kcw(src,len,mult=2).---------------------ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel. klinger(type=len).-----------------------Klinger oscillator aims to identify money flow’s long-term trend. type=len: 0:Oscilator 1:signal macd(src,len).---------------------------MACD (Moving Average Convergence/Divergence) mfi(src,len).----------------------------Money Flow Index s a tool used for measuring buying and selling pressure msi(len=10).-----------------------------Mass Index (def=10) is used to examine the differences between high and low stock prices over a specific period of time nvi().-----------------------------------Negative Volume Index obv().-----------------------------------On Balance Volume pvi().-----------------------------------Positive Volume Index pvt().-----------------------------------Price Volume Trend ranges(src,upper=len, lower=-5).---------ranges of the source. src=src, upper=len, v1:lower=upper . returns: -1 source=upper otherwise 0 rising(src,len).-------------------------ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output) roc(src,len).----------------------------Rate of Change rsi(src,len).----------------------------Relative strength Index rvi(src,len).----------------------------The Relative Volatility Index (RVI) is calculated much like the RSI, although it uses high and low price standard deviation instead of the RSI’s method of absolute change in price. smi_osc(src,len,fast=5, slow=34).--------smi Oscillator smi_sig(src,len,fast=5, slow=34).--------smi Signal stc(src,len,fast=23,slow=50).------------Schaff Trend Cycle (STC) detects up and down trends long before the MACD. Code imported from stdev(src,len).--------------------------Standart deviation trix(src,len) .--------------------------the rate of change of a triple exponentially smoothed moving average. tsi(src,len).----------------------------The True Strength Index indicator is a momentum oscillator designed to detect, confirm or visualize the strength of a trend. ultimateOsc(len.-------------------------Ultimate Oscillator indicator (UO) indicator is a technical analysis tool used to measure momentum across three varying timeframes variance(src,len).-----------------------ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta.sma), and it informally measures how far a set of numbers are spread out from their mean. willprc(src,len).------------------------Williams %R wad().-----------------------------------Williams Accumulation/Distribution. wvad().----------------------------------Williams Variable Accumulation/Distribution. HISTORY v3.01 ADD: 23 new indicators added to indicators list from the library. Current Total number of Indicators are 93. (to be continued to adding) ADD: 2 more Parameters (P1,P2) for indicator calculation added. Par:(Use Defaults) uses only indicator(Source, Length) with library's default parameters. Par:(Use Extra Parameters P1,P2) use indicator(Source,Length,p1,p2) with additional parameters if indicator needs. ADD: log calculation (simple, log10) option added on indicator function entries ADD: New Output Signals added for compatibility on exporting condition signals to different Strategy templates. ADD: Alerts Added according to conditions results UPD: Indicator source inputs now display with indicators descriptions UPD: Most off the source code rearranged and some functions moved to the new library. Now system work like a little bit frontend/backend UPD: Performance improvement made on factorization and other source code UPD: Input GUI rearranged UPD: Tooltips corrected REM: Extended indicators removed UPD: IND1-IND4 added to indicator data source. Now it is possible to create new indicators with the previously defined indicators value. ex: IND1=ema(close,14) and IND2=rsi(IND1,20) means IND2=rsi(ema(close,14),20) UPD: Custom Indicator (CUST) added to indicator data source and Combination Indicator source. UPD: Volume added to indicator data source and Combination Indicator source. REM: Custom indicators removed and only one custom indicator left REM: Plot Type "Org. Range (-1,1)" removed UPD: angle, rising, falling type operators moved to indicator library
Indicatore Pine Script®
di dturkuler
1
KDJ stochastic indicatorThis is a special calculation of KDJ indicator. As you may know this is based on stochastic indicator. Stochastic indicator is a method to normalize a trending time serie (here price). the calculation of stochastic itself is a built in function in pine but it is straight forward: In sudo code: RSV for n days=(Cn－Ln)/(Hn－Ln)×100 In which, Cn is the closing price on the nth day; Ln is the lowest price in n days; Hn is the highest price in n days. To calculate other indices K, D and J we use this formulas: K = (2/3) * K + (1/3) * RSV D = (2/3) * D + (1/3) * K J = 3 * K - 2 * D As you can see it is a recursive calculation. It means any value of the indices are affected by it's own previous value (and I'm passionate about recursive functions!) It may concern you that in the initial calculation there is no previous value and you are right. For the initial values we use value of 50 because it is an oscillator and the mean value is always 50 so we replace the first NAs with 50 using nz() function in pine. After doing this calculations we reach to the smoothing section. I used simple moving averages, you may replace it with other more advanced smoothing techniqes like EMA or ALMA. After I wrote this indicator I saw that it is a good indicator for reading divergences. As you can see I showed couple of these divergences to you on the chart. Notice that I analyzed divergence between price and J (very light green) line and not to K or D. I really appreciate any suggestion on this indicator and hope to improve it. The other ones present in the public library wasn't good and they differ a lot in the calculation and also the graphics doesn't look good. Be free to change the parameter i saw these parameter are good to daily Bitcoin chart.
Indicatore Pine Script®
di farzinsabbagh
11
Reverse Cutlers Relative Strength Index On ChartIntroduction The Reverse Cutlers Relative Strength Index (RCRSI) OC is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index ( RSI ) value, or cross its Moving Average (MA) signal line. Overview Background & Credits: The relative strength index ( RSI ) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”. Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing. Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI , and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs. Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD . brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI . Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere. My utmost respect, and all due credits to authors of related prior works. Introduction It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves. Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence. Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on. Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective. Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox. The RSI scale is divided into zones: • Scale high (100) • Bull critical zone (80 - 100) • Bull control zone (62 - 80) • Scale midline (50) • Bear control zone (20 - 38) • Bear critical zone (0 - 20) • Scale low (0) The RSI plots which graphically display output closing price levels where Cutlers RSI value will crossover: • RSI (eq) (previous RSI value) • RSI MA signal line • RSI Test price • Alert level high • Alert level low The info box displays output closing price levels where Cutlers RSI value will crossover: • Its previous value. ( RSI ) • Bull critical zone. • Bull control zone. • Mid-Line. • Bear control zone. • Bear critical zone. • RSI MA signal line • Alert level High • Alert level low And also displays the resultant RSI for a user defined closing price: • Test price RSI The infobox outputs can be shown for the current bar close, or the next bar close. The user can easily select which information they want in the infobox from the setttings Importantly: All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes. All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes. Understanding the Relative Strength Index At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down. It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions. The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100. It is typically accompanied by a moving average signal line. Traditional interpretations Overbought and oversold: An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price. An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price. Midline Crossovers: When the RSI crosses above its midline ( RSI > 50%) a bullish bias signal is generated. (only take long trades) When the RSI crosses below its midline ( RSI < 50%) a bearish bias signal is generated. (only take short trades) Bullish and bearish moving average signal Line crossovers: When the RSI line crosses above its signal line, a bullish buy signal is generated When the RSI line crosses below its signal line, a bearish sell signal is generated. Swing Failures and classic rejection patterns: If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred. If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred. Examples of classic swing rejection patterns Bullish swing rejection pattern: The RSI moves into oversold zone (below 30%). The RSI rejects back out of the oversold zone (above 30%) The RSI forms another dip without crossing back into oversold zone. The RSI then continues the bounce to break up above the previous high. Bearish swing rejection pattern: The RSI moves into overbought zone (above 70%). The RSI rejects back out of the overbought zone (below 70%) The RSI forms another peak without crossing back into overbought zone. The RSI then continues to break down below the previous low. Divergences: A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows. A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs. A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows. A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs. Regular divergences can signal a reversal of the trending direction. Hidden divergences can signal a continuation in the direction of the trend. Chart Patterns: RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges , double tops, bottoms and trend lines etc. Support and Resistance: It is very often easier to define support or resistance levels on the RSI itself rather than the price chart. Modern interpretations in trending markets: Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns. Constance Brown, CMT , was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support. During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance. For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones. These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend. Limitations of the RSI Like most technical indicators, its signals are most reliable when they conform to the long-term trend. True trend reversal signals are rare, and can be difficult to separate from false signals. False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common. Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction. Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
Indicatore Pine Script®
di The_Caretaker
8
Reverse Cutlers Relative Strength IndexIntroduction The Reverse Cutlers Relative Strength Index (RCRSI) is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index (RSI) value, or cross its Moving Average (MA) signal line. Overview Background & Credits: The relative strength index (RSI) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”. Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing. Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI, and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs. Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD. brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI. Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere. My utmost respect, and all due credits to authors of related prior works. Introduction It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series as described above has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves. Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence. Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on. Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective. Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox. The RSI scale is divided into zones: • Scale high (100) • Bull critical zone (80 - 100) • Bull control zone (62 - 80) • Scale midline (50) • Bear critical zone (20 - 38) • Bear control zone (0 - 20) • Scale low (0) The RSI plots are: • Cutlers RSI • RSI MA signal line • Test price RSI • Alert level high • Alert level low The info box displays output closing price levels where Cutlers RSI value will crossover: • Its previous value. (RSI ) • Bull critical zone. • Bull control zone. • Mid-Line. • Bear control zone. • Bear critical zone. • RSI MA signal line • Alert level High • Alert level low And also displays the resultant RSI for a user defined closing price: • Test price RSI The infobox outputs can be shown for the current bar close, or the next bar close. The user can easily select which information they want in the infobox from the setttings Importantly: All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes. All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes. Understanding the Relative Strength Index At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down. It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions. The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100. It is typically accompanied by a moving average signal line. Traditional interpretations Overbought and oversold: An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price. An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price. Midline Crossovers: When the RSI crosses above its midline (RSI > 50%) a bullish bias signal is generated. (only take long trades) When the RSI crosses below its midline (RSI < 50%) a bearish bias signal is generated. (only take short trades) Bullish and bearish moving average signal Line crossovers: When the RSI line crosses above its signal line, a bullish buy signal is generated When the RSI line crosses below its signal line, a bearish sell signal is generated. Swing Failures and classic rejection patterns: If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred. If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred. Examples of classic swing rejection patterns Bullish swing rejection pattern: The RSI moves into oversold zone (below 30%). The RSI rejects back out of the oversold zone (above 30%) The RSI forms another dip without crossing back into oversold zone. The RSI then continues the bounce to break up above the previous high. Bearish swing rejection pattern: The RSI moves into overbought zone (above 70%). The RSI rejects back out of the overbought zone (below 70%) The RSI forms another peak without crossing back into overbought zone. The RSI then continues to break down below the previous low. Divergences: A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows. A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs. A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows. A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs. Regular divergences can signal a reversal of the trending direction. Hidden divergences can signal a continuation in the direction of the trend. Chart Patterns: RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges, double tops, bottoms and trend lines etc. Support and Resistance: It is very often easier to define support or resistance levels on the RSI itself rather than the price chart. Modern interpretations in trending markets: Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns. Constance Brown, CMT, was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support. During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance. For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones. These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend. Limitations of the RSI Like most technical indicators, its signals are most reliable when they conform to the long-term trend. True trend reversal signals are rare, and can be difficult to separate from false signals. False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common. Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction. Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
Indicatore Pine Script®
di The_Caretaker
5
Indicators & Conditions Test Framework [DTU]Hello All, This script is a framework to build strategies by combining indicators and conditions (long, short, exits). You are able to analyze your strategies in realtime by changing the input parameters related to indicators, conditions and their combinations. OVERVIEW With this Study/Strategy framework, you will be able to create strategy conditions, display them on the chart, and test them using existing indicators as well as external and custom indicators that you can add. The main purpose of the Framework is to choose your indicators to be used in the conditions and test your strategy by producing your "Long, short, Exit long, Exit short" combinations. Although may be, it can be a bit difficult and complicated at first start, but you can understand the logic on its use in a very short time. Notes: I removed external links off descriptive images and video to be comply with Trading view violation House Rules Since I am new in the community and still trying to understand the pine script language I can make errors and violations on my script. Please Inform me on any issue that I made.. HOW TO   STEP 1: SETTINGS ______________________________________________________________________________________________________    SOURCE, TIMEFRAME, SECURITY   Select the Source, timeframe and Secure type that your indicators will use.   Here, the Secure entry consists of 3 parts and the f_security function is used to determine it.     a)Secure      This option is defined as reducing repaint in tradingview calculations as much as possible. The following function is used.     request.security(_symbol, _res, _src , lookahead=barmerge.lookahead_on)     b)Semi Secure      While this option can reduce repaint in tradingview calculations as much as possible, it is less secure. The following function is used.     request.security(_symbol, _res, _src )     c)Repaint      This option turns on the repaint feature. The following function is used.     request.security(_symbol, _res, _src ) : na     Ind Source:     You can the source that indicators will use their own calculations     Ext Source:     You can import external Indicator sources from here . It appears on condition/combination area as "EXT".     To export the External indicator plot it with a title. It will be visible in source dropdown input    PERIOD , ALERTS...     Period:     Determine your strategy testing period by selecting start and end date/time     (!!! According to your tradingview subscription, it takes the last 5000, 10000.. bars.     The extra bar option may cause problems such as not appearing in the calculations or errors).     Plot Alerts:     Plot condition result as alerts arrows on the chart's bottom for "LONG" and the top for "SHORT" entries, exits     Close on opposite:     When selected, a long entry gets closed when a short entry opens and vice versa     Show Profit:     It appears if script is in strategy mode (not in study) this can display current or open profit for better reanalyzing your strategy entry exit points. (Currently under development)    PLOT TYPE OPERATIONS   This option has 4 entries     a) Mult     Sets the multiplier for the selected Plot Type (stochastic, Percentrank, Org Range (-1,1) ) except for "Original" in the range (-1,1).     EXAMPLE: When 1000 is selected, the indicator in the range of (-1,1) will appear in the range of (-1000, 1000) on the screen.     b) Shift     It determines the shift that will appear on the screen for the selected Plot Type (stochastic, Percentrank,Org Range (-1,1) ) in the range (-1,1) other than "Original".     EXAMPLE: When Shift:35000 and mult:1000 are selected, the indicator will appear in the range (34000, 36000) on the screen.     c) Smooth     This option (only for Stochastic & PercentRank) allows to smooth the indicator to be displayed.     Here, tradinview ta.swma function is used.     b) hline     Adjusts the horizontal lines to appear on the screen according to the mult factor for the range (-1,1)     The lines represent the values ​​(-1, -05, 0, 05, 1)   STEP 2: INDICATORS ______________________________________________________________________________________________________  You need to choose indicators that you can use in strategy conditions.  Here, the indicators come from the dturkuler/lib_Indicators_DT open script library defined in the code  In addition, you can add the indicators that you will create in the area defined in the code to this list..  You can also import external indicators and test them with other variables on the system..  You can choose a maximum of 5 indicators that you can use in total. (can be increased in new versions)  Indicators are categorized in 3 main sections    Indicator Selection:    You can select your indicators from this area     a)Moving Averages     These are indicators such as EMA, SMA that you can show on the stock. They come from the library.     These indicators are fed from Settings/source. Only the length value can be used as a parameter.     In addition, line colors can be changed..     As of now, there are 28 indicators in the library in total and 5 indicators are left as future use for this field for now.     b)Other Indicators     These are different indicators from the stock value such as RSI, COG. They come from the library. These indicators are fed from Settings/source.     Only the length value can be used as a parameter. In addition, line colors can be changed.     As of now, there are 24 indicators in the library in total and 5 indicators are left as a future use for this field for now.     c)Custom Indicators     These indicators are the ones you can create by programming yourself in the source code..     The area at the bottom of the settings screen is reserved for the parameters of this type of indicators.    Indicator Length:    You can update your selected indicator length value from here. (Not: it doesn't work for custom indicators since they have their parameter on cust. Ind. input screen )    Indicator Plot Type:    Next to the indicators, there is an input selection field about how they will be displayed on the screen.     a)Original     The indicator is displayed on the screen with its current values. It is an ideal solution for displaying moving average indicators such as (EMA, SMA) over current stock.     Since the values ​​of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.     For this reason, other options may be more suitable for these.     b)Stochastic     The indicator is displayed on the screen with stochastic calculation in the range of -1.1.     It uses the stochastic(50) calculation method to spread indicators such as (RSI, COB) over the range (-1,1).     Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.     You can see the original values ​​of the relevant indicator on the Data Window screen.     (!!! Do not use the values ​​on the chart in your condition calculations. Instead, get the values ​​from Data Window)     c)PercentRank     The indicator is displayed on the screen with stochastic calculation in the range of -1.1. .     Since the values ​​of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.     Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.     You can see the original values ​​of the relevant indicator on the Data Window screen     ((!!! Do not use the values ​​on the chart in your condition calculations. Instead, get the values ​​from Data Window)     d)Org Range (-1,1)     If your indicator is in the range of -1.1, your indicator will be displayed on the screen with its original calculation in the range of -1.1.     Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.     You can see the original values ​​of the relevant indicator on the Data Window screen.     (!!! Do not use the values ​​on the chart in your fitness calculations. Instead, get the values ​​from Data Window)   STEP 2 NOTES:   STEP 3: CONDITIONS ______________________________________________________________________________________________________   After choosing the indicators you will use in the conditions, you move on to the "CONDITIONS" section.   There are 4 conditions type here.    • LONG ENTRY CONDITION    • SHORT ENTRY CONDITION    • LONG CLOSE CONDITION    • SHORT CLOSE CONDITION   The use of each condition is the same.   There are 3 combinations you can use in each condition. (can be increased in new versions)   a)COMBINATIONS   There are 3 combinations you can use in each condition. (can be increased in new versions)   Each combination are build from 4 parts     1)1st Indicator     If set to "NONE" this combination will not be used on calculations. You can select      IND1-5: from indicators (See above),      EXT: value from externally imported indicator      Stock built-in values: close, open...     2)Operator      Selected Operator compares 1st Indicator with the 2nd one. You can select different operators such as       crossover, crossunder, cross,>,<,=....     3)2nd Indicator     This indicator will be compared with the 1st one via selected Operator. You can select      IND1-5: from indicators (See above),      VALUE: a float value defined in the combinations value parameter      EXT: value from externally imported indicator      Stock builtin values: close,open...     4)Value     When the 2nd indicator field is "VALUE", value area compares the entered value.     ex: 1st indicator="open", op=">", 2nd indicator="VALUE", value=3000.12 means is(close>3000.12)     In other conditions, it compares the previous values ​​of the indicator.     ex: 1st indicator="open", op=">" 2nd indicator is "close" and value is 2 means is(open>close )   EXAMPLES:   indicator 1= "IND1", Operator=">", indicator 2= "IND2" => is(IND1>IND2)   indicator 1= "IND1", Operator=">", indicator 2= "VALUE", "0.1" => is(IND1>0.9)   indicator 1= "IND2", Operator="crossover", indicator 2= "IND1" => is(IND2 crossover IND1) : like a=ta.crossover(IND2, IND1)   indicator 1= "IND1", Operator="<", indicator 2= "close" => is(IND1>close)   indicator 1= "IND1", Operator="<", indicator 2= "EXT" => is(IND1>EXT) , EXT mean external imported indicator that define on settings section   indicator 1= "IND1", Operator="<", indicator 2= "IND1", Value="1" => is (IND1>IND1 )   b)JOIN COMBINATIONS   Each combination in Condition is compared with the next one via JOIN operator   The join operator can be selected as AND or OR.    Examples:    1st combination= is(IND1>0.9) true    2nd combination= is(IND2 crossover IND1) false    1st combination "AND" 2ndcombination" => false (is(IND1>0.9) AND is(IND2 crossover IND1))    1st combination "OR" 2nd combination" => true (is(IND1>0.9) OR is(IND2 crossover IND1))   STEP 3 NOTES:   When the 2nd indicator field is "VALUE", value area compares the entered value. In other conditions, it compares the previous values ​​of the indicator.   In cases where "VALUE" is not selected, integer values ​​must be entered in this field. (float should not be entered. ie 1, 2 should be entered)   !!!If the 1st indicator is "NONE" in the combination, that combination is cancelled.   Each combination returns true/false, allowing the selected value to be compared with another value   Example: EMA(21)>EMA(50) returns true under all conditions or (EMA(21) crossover EMA(50)) returns true when passed.   You can use , Value of 5 indicators (IND1-IND5) or (VALUE) that you have defined in combinations or import indicator (EXT) or stock values ​​(close, open, high...) in your calculations.   combination Compares the 1st indicator with 2nd indicator via the operator.   STEP 4: CUSTOM INDICATORS ______________________________________________________________________________________________________   There is an area in the code for designing Custom Indicators.   Here you can design your own indicators and use them in the framework.   You can also create unlimited parameters for your indicators in the SETTINGS custom indicator field.   For now, only 3 Custom indicators have been defined.   Examples are entered in the code for custom indicators.   STEP 4 NOTES:   Including / updating custom to the code is explained in the source code   • LIMITATIONS:   !!! According to your tradingview subscription, it takes the last 5000, 10000.. bars. More bar options may cause problems such as not appearing in the calculations or errors.   • RAMBLINGS:      • NOTES [ /i]   This Script can be used as an indicator if the last strategy parts in the code are commented out and converted to the initial strategy study.   It was originally prepared for my use with my own strategy framework and has export functions accordingly.   When integrated to my own strategy framework it brings many more features over strategy definition of trades.   • TODO [ /i]   TODO: Add tooltips to the settings screen   TODO: Add double triple, Quatr factor for all indicators (convert any indicator to factor2-4 facotr. ex: EMA to DEMA, TEMA, QEMA...)   TODO: Add factorized Fibo avg range indicator (good for trend definition and entry exit points)   TODO: Add bands to the indicator and conditions   TODO: Add debug window for exporting indicator's parameters   TODO: Add isRising(value) isFalling(value), is...(value) .... to combinations (they can be used as custom indicator also   TODO: Reassess condition entry screen for user friendly GUI   TODO: Increase # conditions from 3 to 4   TODO: Reassess strategy entries, exit and close (should be improved)   TODO: Add Alerts, Condiional alerts for indicator (study) part   TODO: Create export function v3 for Pinecoders Indicator framework   • THANKS:   For Pine script format docs RicardoSantos .   For Pine script coding standards Pinecoders .   For moving average script used on library s RodrigoKazuma .
Strategia Pine Script®
di dturkuler
12
Up/Down Indicator - DurbtradeA simple but unique indicator to show ONLY whether there is an increase or a decrease in price compared to the previous value. Also includes a customizable SMA or EMA based "Smoothing Length" variable, allowing the indicator to show whether the SMA or the EMA of the price is up or down compared to the previous value. An offset option is also included if you need it. Settings : Personal thoughts : I wanted to have an indicator that showed ONLY whether the price is UP or DOWN from the previous value. My logic was that I could have a more accurate perception of general up or down trend direction if I removed the AMOUNT of increase or decrease happening from moment to moment over time. From there, I added the SMA/EMA "Smoothing Length" and "Smoothing Type" variables into the script. By increasing the value of the smoothing length above 1, the indicator act as a color-changing moving average, except without showing an actual value. "Smooth Length" acts just like the length of any other moving average... When the value of the "Smooth Length" is = 1, the indicator shows whether PRICE is up or down. When the value of the "Smooth Length" is = 50, the indicator shows whether the MOVING AVERAGE with a length of 50 is up or down. When the value of the "Smooth Type" is = 1, the indicator is SMA based. When the value of the "Smooth Type" is = 2, the indicator is EMA based. As you can see in the main chart above, or in the picture below, I show the indicator in 2 different ways... The indicator on the top shows price up/down action, and the indicator on the bottom shows the 50 SMA up/down action : Other key points : The indicator height can be smashed down as small as possible and still remain 100% functional... which is very important when chart real-estate is limited. Here is an example of my main layout setup, with the Up/Down indicator on the top left : As you can see, it takes up very little space, but still remains fully functional. In the example above, I have it overlayed on the left chart price panel, with the price visibility turned off. If it is overlayed on the price panel like so, and you want to see both the indicator and price, simply turn the price visibility on to see both. Since the indicator displays itself merely by changing the color of the background, layer order has no effect, and the indicator is always drawn in the background. The Up/Down indicator can also be used in conjunction with other candle types that sometimes display candle color differently than standard candles, such as heikin-ashi candles. Just take note that the colors of the indicator may not match the colors of the heikin-ashi candles. Finally, I looked very hard to find an indicator like this on TradingView, and found absolutely nothing. I know that it is a simple concept, but I'm honestly surprised I couldn't find anything like it. I have been using it for awhile now, and I'm proud of the results... therefore, I'd like to share it with the community, along with my previously published indicators, in the hope that you find it useful! Outro : A) As with my previous indicators, this one was written while keeping information, color, clarity, chart real-estate, and customization in mind. B) It is optimized to be displayed on all display setups... for use on your own personal television, laptop, or cellular phone screen... and on all chart zoom levels and layout styles. C) Please feel free to comment your thoughts, critiques, or suggestions. They are all very helpful! D) Check out my previous pine script indicators if you like this one. They work really well together. E) I hope that you find this script useful. F) Enjoy! // Durbtrade
Indicatore Pine Script®
di Durbtrade
2
Three Golden By Moonalert ========================= English ========================= Three Golden By Moonalert (Green Bar) BUY = All three conditions are agree uptrend. 1 candlestick is on the middle line of Bollinger Bands 2 RSI is more than 50 3 MACD cross up Zero Line (Red Bar) SELL = All three conditions are agree downtrend 1 candlestick is under the middle line of Bollinger Bands 2 RSI is less than 50 3 MACD cross down Zero Line (Yello Bar) Wait and see = some candition are agree uptrend or downtrend Basic logic is Green = Buy Red = Sell Yello = wait and see Working Good for TF Daily. ========================= THAI ========================= เขียว = ซื้อ ( Bollinger bands , Rsi , Macd บอกขึ้นทั้งหมด ) เเดง = ขาย ( Bollinger bands , Rsi , Macd บอกลงทั้งหมด ) เหลือง = นั่งนิ่งๆ ( Bollinger bands , Rsi , Macd บอกขั้นหรือลงบางตัว ) สามารถปรับMACD ระหว่าง Cross Signal กับ Cross Zeroได้ เเนะนำอย่างหลัง สามารถปรับ EMA 20 50 200 เปิดปิดได้ที่ตั้งค่า
Indicatore Pine Script®
di TED0Title
1
Double Bollinger StrategyFrom "Bitcoin Trading Strategies: Algorithmic Trading Strategies For Bitcoin And Cryptocurrency That Work" by David Hanson. *Works better with 1hr time frame and some input optimisations. "Double Bollinger Band Scalping System Recommended Timeframe: 1 minute or 5 minute * Required Indicators: // - RSI with a length of 14 (default settings) // - Bollinger band #1 settings: Length = 50, stDev = 1 Hide the basis/middle line (basis line not needed for this strategy) Note: This is the slower bollinger band in the directions // - Bollinger band #2 settings: Length 20, stDev = 1 Hide the basis/middle line (basis line not needed for this strategy) Note: This is the faster bollinger band in the directions Enter Long/Buy Trade When: // - RSI is above the level 50 // - A candle closes above the top of the faster bollinger band Enter a long when a candle then closes above the top of the slower bollinger band, and price is above the top of both bands Place a stop loss under the low of the entry candle Example of a long trade using this strategy Exit Long Trade When: A candle closes below the top band of the fast bollinger band Enter Short/Sell Trade When: // - RSI is below the level 50 // - A candle closes below the bottom of the faster bollinger band Enter a short when a candle then closes below the bottom of the slower bollinger band, and price is below both bands Place a stop loss above the high of the entry candle Example of a short trade using this strategy Exit Short Trade When: Price closes inside the bottom of the faster bollinger band"
Strategia Pine Script®
di tweakerID
Dual Mean Reversion Channel (adjusted lower band)This is a public and open-source lighter version compared to the "Overextended Price Channel" which is provided complimentaty to the Trend Insight System. Introduction : Channels are very useful tools to assess overextended price, volatility and upcoming retracement or impulsive moves (such as Bollinger Band squeezes). It is an indispensable addition to any trader using Mean Reversion theory for a scalp-trade or swing-trade. This script contains : - 2 channels Keltner-style, using the True Range for volatility - customizable volatility (channel width) and smoothing period - a standard selection of moving average ; SMA, EMA, VWMA - an embedded readjustment of the lower bands to avoid the drop on a logarithmic scale (see explanation below) Why another channel indicator ? I have found most conventional channels to be either not based on "proper" volatility (e.g. standard deviation of price action for Bollinger Band), or the bottom channel to be ill adapted to the logarithmic scale and plunges to 0 on some high volatility periods, messing with readability on logarithmic auto-scaled chart. Also, I find the channels to be most useful when superimposed with another one of longer length; especially a pair of channels with a 50 and 200 period moving average respectively. Mean Reversion traders that mostly trade the 50 and 200 SMA/EMA know what I am talking about as having a channel helps to have a better visual for a proper of entry and exit point. Disclaimer : This indicator was originally intended to be used along with the Trend Insight System to improve performance, and the default configuration mostly backtested on BTCUSD. Please use with caution, proper risk management and along with your favorite oscillator, candlestick reading and signals system. Some explanation : Based on Mean Reversion paradigm, everything has a tendency to revert back to the mean : - when the price enters the upper channel, it is supposed to be (or start getting) overbought as the market is getting overheated, thus prone to correction, - on the other hand, when the price enters the lower channel, it is supposed to be (or getting) oversold and the market looks favorable for a buy-in. Depending on the trading style used, a trader will usually either wait until the price leaves the channel towards the mean before taking action (conservative style) or you will set limit orders inside the channel as you expect a reversion to the mean (more agressive/risky style). With two channels, more complex (and maybe precise) rules can be built to optimize one's trading strategy. Important notes : In the end, sticking with 50/200 length and a single setting on volatility might be wiser, be wary of overoptimization which is risky at best and counter productive at worst (according to legendary traders such as Mark Douglas). Even if, needless to say, the volatility needs to be adjusted between a nascent and volatile market (such as crypto) compared to standard call markets that are much less volatile. End notes : It will always be considered a work in progress to help bring out the best of trading with channels, any comment and suggestion are welcomed.
Indicatore Pine Script®
di CptFantastic
1
[jav] Mountain Oscillator Introducing the Mountain Oscillator. Why not trading while admiring the scenery? The main oscillator line is the black silhouette of the mountains, and each element of the landscape can be seen as a support or resistance - even the mountains far in the horizon, the misty band in the middle and the -1, 0 and 1 lines. (Well, almost every element... the sun is just for fun). Equalling the heights of the mountains that are far away, or reaching the snow zone, are possible signs of an uptrend ending. On the other hand, stepping into a river is a clear sign of a reversal to the upside soon. Strong uptrends are evidenced by significant portions of the mountain above the misty zone and/or the 0 line. By default, the sky turns red/blue/dark gray depending on the trading hours. This option can be unchecked. Calculations and usage : The script is based on a modified version of Bollinger Bands. Bandwidth is calculated quite differently from the usual Bollinger indicator (not with the built-in stdev function). There is no need to input a multiplier factor, such as that used in BB - the script calculates it from 'Length' using a custom formula. The 3 user inputs 'Length' ares recommended to be kept at 200, 100 and 50 period. In that way, the misty area in the landscape corresponds to price crossing EMAs of 50 and 100, and the zero line to EMA 200. The different colors of the mountain and the horizon represent the Bollinger Bands corresponding to the mentioned periods of 50 and 100, whereas limits of -1 and +1 are those from the 'Length' parameter. You will find that my coding skills are rudimentary, so any comment/suggestion to improve the script is welcome. Credits @everget for the 'Fancy Shapes' script which was used as a reference to draw the sun.
Indicatore Pine Script®
di javabgar
13
MA DerivativesMA Derivatives basicly using Ichimoku Cloud and some additional moving averages for traders. A. ICHIMOKU Tenkan-sen (Conversion Line): (9-period high + 9-period low)/2 On a daily chart , this line is the midpoint of the 9-day high-low range, which is almost two weeks. Kijun-sen (Base Line): (26-period high + 26-period low)/2 On a daily chart , this line is the midpoint of the 26-day high-low range, which is almost one month. Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2 This is the midpoint between the Conversion Line and the Base Line. The Leading Span A forms one of the two Cloud boundaries. It is referred to as “Leading” because it is plotted 26 periods in the future and forms the faster Cloud boundary. Senkou Span B (Leading Span B): (52-period high + 52-period low)/2 On the daily chart , this line is the midpoint of the 52-day high-low range, which is a little less than 3 months. The default calculation setting is 52 periods, but it can be adjusted. This value is plotted 26 periods in the future and forms the slower Cloud boundary. Chikou Span: Represents the closing price and is plotted 26 days back. Kumo Cloud: Kumo cloud between Senkuo Span A and Senkou Span B lines. It can be green or red. Color can be change with the trend. You can use Ichimoku for buy&sell strategy For Buying Strategy - Tenkansen (Conversion Line) should crossover Kijunsen (Base line) above the highest line of cloud - Price should be above the highest line of cloud - Chikouspan should be above the cloud For Selling Strategy - Kijunsen (Base Line) should crossover Tenkansen (Conversion Line) below the lowest line of cloud - Price should be below the lowest line of cloud - Chikouspan should be below the cloud B. SIMPLE MOVING AVERAGES The indicator has some of Simple Moving Averages It includes: -Simple Moving Average 50 -Simple Moving Average 100 -Simple Moving Average 200 C. EXPONENTIAL MOVING AVERAGES The indicator has some of Simple Moving Averages It includes: -Exponential Moving Average 9 -Exponential Moving Average 21 -Exponential Moving Average 50 D. BOLLINGER BAND Bollinger Bands are a type of price envelope developed by John BollingerOpens in a new window. (Price envelopes define upper and lower price range levels.) Bollinger Bands are envelopes plotted at a standard deviation level above and below a simple moving average of the price. Because the distance of the bands is based on standard deviation, they adjust to volatility swings in the underlying price. Bollinger Bands use 2 parameters, Period and Standard Deviations, StdDev. The default values are 20 for period, and 2 for standard deviations, although you may customize the combinations. Bollinger bands help determine whether prices are high or low on a relative basis. They are used in pairs, both upper and lower bands and in conjunction with a moving average. Further, the pair of bands is not intended to be used on its own. Use the pair to confirm signals given with other indicators. How this indicator works When the bands tighten during a period of low volatility, it raises the likelihood of a sharp price move in either direction. This may begin a trending move. Watch out for a false move in opposite direction which reverses before the proper trend begins. When the bands separate by an unusual large amount, volatility increases and any existing trend may be ending. Prices have a tendency to bounce within the bands' envelope, touching one band then moving to the other band. You can use these swings to help identify potential profit targets. For example, if a price bounces off the lower band and then crosses above the moving average, the upper band then becomes the profit target. Price can exceed or hug a band envelope for prolonged periods during strong trends. On divergence with a momentum oscillator, you may want to do additional research to determine if taking additional profits is appropriate for you. A strong trend continuation can be expected when the price moves out of the bands. However, if prices move immediately back inside the band, then the suggested strength is negated. Calculation First, calculate a simple moving average. Next, calculate the standard deviation over the same number of periods as the simple moving average. For the upper band, add the standard deviation to the moving average. For the lower band, subtract the standard deviation from the moving average. Typical values used: Short term: 10 day moving average, bands at 1.5 standard deviations. (1.5 times the standard dev. +/- the SMA) Medium term: 20 day moving average, bands at 2 standard deviations. Long term: 50 day moving average, bands at 2.5 standard deviations. E. ADJUSTABLE MOVING AVERAGES And this script has also 2 adjustable moving average - 1 Adjustable Simple Moving Average - 1 Adjustable Exponential Moving Average You can just change the length for using this tool.
Indicatore Pine Script®
di ErdemDemir
4
EMA RSI ATR Hidden Div Strat - 1 MinHey there! Hereby I present you the EMA RSI Lowest Low Hidden Divergence strategy, which I discovered on a youtube channel. He has tested the strategy hundreds of times manually, herewith I try to automate the whole thing. Since I use the strategy with a bot, it can only enter long positions for now. But in the future I will add the possibility to trade short positions. The strategy was tested with BTC/ USDT in 1m chart (8 days). The values must be adjusted depending on the timeframe and coin. ----------------------------------------------------------------------------------- How does the strategy work? First of all, we need a bullish hidden divergence. Once this is detected, the following parameters are checked: The 50 EMA must cross the 250 EMA . Then, the candle must close above the 50 EMA . The K line of the RSI STOCH indicator need to crosses the D line. If the next candle closes above the 50 EMA , a long position is opened. The stop loss is determined with the "lowest low/highest high lookback". The profit factor is multiplied by the value of the lowest low/highest high lookback. The results of the strategy are without commissions and levers. If you have any questions or feedback, please let me know in the comments. In the future I will add other types of stop loss / take profits. (ATR; %; eg.) I wish you good luck with the strategy!
Strategia Pine Script®
di TradingStrategyCheck
20
CheckmateTrades - Pivots End GameThis indicator is based on the Pivot study. Traders will be able to plot CPR, Standard floor pivots as well as Camarilla Pivots on multiple timeframes. Why pivots from multiple timeframes are relevant and included in this one indicator? We can analyse pivots on multiple timeframes for different trading setups. As in, Daily floor pivots are best suited for analysing the market trend for Day trading. Similarly, Weekly and Monthly floor pivots can be analysed for Swing and positional trading entries. Whereas yearly pivot is best suited for trend analysis for investment purpose. What is the relevance of plotting tomorrow's pivot level in advance? Pivot are calculated based on the price happened on a previous day. And hence trader can plot tomorrow pivots in advance to shortlist stocks for tomorrow's trading session. TimeFrames Available to traders are – 1. Daily 2. Weekly 3. Monthly A) Daily Pivots Present Day – 1. Trader can plot Daily CPR 2. Trader can plot Daily R1, R2, R3 and R4 pivot resistance levels 3. Trader can plot Daily S1, S2, S3 and S4 pivot support levels 4. Trader can plot Daily Camarilla levels Future Day – 1. Trader can plot Tomorrow CPR 2. Trader can plot Tomorrow R1, R2, R3 and R4 pivot resistance levels 3. Trader can plot Tomorrow S1, S2, S3 and S4 pivot support levels 4. Trader can plot Tomorrow Camarilla levels 5. Previous Day High and Low B) Weekly Pivots Present Week – 1. Trader can plot Present week CPR 2. Trader can plot Present week R1, R2, R3 and R4 pivot resistance levels 3. Trader can plot Present week S1, S2, S3 and S4 pivot support levels 4. Trader can plot Present week Camarilla levels Next Week – 1. Trader can plot Next week CPR 2. Trader can plot Next week R1, R2, R3 and R4 pivot resistance levels 3. Trader can plot Next week S1, S2, S3 and S4 pivot support levels 4. Trader can plot Next week Camarilla levels 5. Previous Week High and Low C) Monthly Pivots Present Month – 1. Trader can plot Present Month CPR 2. Trader can plot Present Month R1, R2, R3 and R4 pivot resistance levels 3. Trader can plot Present Month S1, S2, S3 and S4 pivot support levels 4. Trader can plot Present Month Camarilla levels Next Month – 1. Trader can plot Next Month CPR 2. Trader can plot Next Month R1, R2, R3 and R4 pivot resistance levels 3. Trader can plot Next Month S1, S2, S3 and S4 pivot support levels 4. Trader can plot Next Month Camarilla levels 5. Previous Month High and Low Moreover, I have also included SMA (Simple moving averages) study in this indicator. Trader can add 20,50 & 200 SMA on there charts. Why is it relevant? Trader can get a visual confirmation of an up-trending or an down-trending move by looking at rising or falling 20 & 50 SMA respectively Usually in an uptrending stocks. 20 & 50 SMA will move in parallel to each other and will rise upwards. Price will tend to trade above the 20 SMA and 20 SMA will continue to act as a support.
Indicatore Pine Script®
di CheckMateTrades
10
Stochastic RSI w/ Crossover Alerts (by WJ)NOTE: // STOCH RSI CODE TAKEN FROM DEFAULT INDICATOR // I HAVE ONLY MADE SOME ADJUSTMENTS FOR VISUAL AID // I MADE THIS FOR MY OWN USE BUT HAVE DECIDED TO PUBLISH AND SHARE IN CASE ANYBODY WANTS TO USE IT This is the normal default built-in Stochastic RSI indicator which I have added some stuff for visual aid: Added middle line (50) Stoch RSI background turns green when K line crosses D line UPWARDS, K line is below the 50 level, and price is above 200 EMA Stoch RSI background turns red when K line crosses D line DOWNWARDS, K line is above the 50 level, and price is below 200 EMA Alert notification on the crossover candle with background colour change conditions met
Indicatore Pine Script®
di Tutorial05
35
Volume Indicators PackageCONTAINS 3 OF MY BEST VOLUME INDICATORS ALL FOR THE PRICE OF ONE! CONTAINS: Average Dollar Volume in RED Up/Down Volume Ratio in Green Volume Buzz/Volume Run Rate in BLUE If you would like to get these individually, I also have scripts for that too. Below is information about all three of these indicators, what they do, and why they are important. ---------------------------------------------------------------------------------------------AVERAGE DOLLAR VOLUME---------------------------------------------------------------------------------------- Dollar volume is simply the volume traded multiplied times the cost of the stock. Dollar volume is an extremely important metric for finding stocks with enough liquidity for market makers to position themselves in. Market Liquidity is defined as market's feature whereby an individual or firm can quickly purchase or sell an asset without causing a drastic change in the asset's price. The key concept you want to understand is that these big instructions with billions of dollars need liquidity in a stock in order to even think about buying it, and therefore these institutions will demand a large dollar volume . A good dollar volume amount, that represents a pretty liquid name, is typically above 100 million $ average. Why are institutions important? Simple because they are the ones who make stocks move, and I mean really move. If you want to see large growth from a stock in a short amount of time, you need institutions wielding billions of dollars to be fighting one another to buy more shares. Institutions are the ones who make or break a stock, this is why we call them market makers. My script calculates average dollar volume using four averages: the 50, the 30, the 20, and the 10 period. I use multiple averages in order to provide the accurate and up to date information to you. It then selects the minimum of these averages and divides this value by 1 million and displays this number to you. TL;DR? If you want monster moves from your stocks, you need to pick names with average high liquidity(dollar volume >= $100 million). The number presented to you is in millions of whatever currency the name is traded in. ---------------------------------------------------------------------------------------------UP/DOWN VOLUME RATIO----------------------------------------------------------------------------------------- Up/Down Volume Ratio is calculated by summing volume on days when it closes up and divide that total by the volume on days when the stock closed down. High volume up days are typically a sign of accumulation(buying) by big players, while down days are signs of distribution(selling) by big market players. The Up Down volume ratio takes this assumption and turns it into a tangible number that's easier for the trader to understand. My formula is calculated using the past 50 periods, be warned it will not display a value for stocks with under 50 periods of trading history. This indicator is great for identify accumulation of growth stocks early on in their moves, most of the time you would like a growth stocks U/D value to be above 2, showing institutional sponsorship of a stock. Up/Down Volume value interpretation: U/D < 1 -> Bearish outlook, as sellers are in control U/D = 1 -> Sellers and Buyers are equal U/D > 1 -> Bullish outlook, as buyers are in control U/D > 2 -> Bullish outlook, significant accumulation underway by market makers U/D >= 3 -> MONSTER STOCK ALERT, market makers can not get enough of this stock and are ravenous to buy more U/D values greater than 2 are rare and typically do not last very long, and U/D >= 3 are extremely rare one example I kind find of a stock's U/D peaking above 3 was Google back in 2005. -----------------------------------------------------------------------------------------------------VOLUME BUZZ----------------------------------------------------------------------------------------------- Volume Buzz/ Volume Run Rate as seen on TC2000 and MarketSmith respectively. Basically, the volume buzz tells you what percentage over average(100 time period moving average) the volume traded was. You can use this indicator to more readily identify above-average trading volume and accumulation days on charts. The percentage will show up in the top left corner, make sure to click the settings button and uncheck the second box(left of plot) in order to get rid of the chart line.
Indicatore Pine Script®
di monkaOMEGA
2
[GJ]IFRSITHE INVERSE FISHER TRANSFORM STOCH RSI HOW IT WORKS This indicator uses the inverse fisher transform on the stoch RSI for clear buying and selling signals. The stoch rsi is used to limit it in the range of 0 and 100. We subtract 50 from this to get it into the range of -50 to +50 and multiply by .1 to get it in the range of -5 to +5. We then use the 9 period weighted MA to remove some "random" trade signals before we finally use the inverse fisher transform to get the output between -1 and +1 HOW TO USE Buy when the indicator crosses over –0.5 or crosses over +0.5 if it has not previously crossed over –0.5. Sell when the indicator crosses under +0.5 or crosses under –0.5 if it has not previously crossed under +0.5. We can see multiple examples of good buy and sell signals from this indicator on the attached chart for QCOM. Let me know if you have any suggestions or thoughts!
Indicatore Pine Script®
di greg_trades_
RexDog Average with ATRBam-- look what Rex did. A RexDog Average with ATR bands-- he's going insane. Simple but powerful. This indicator includes the RexDog average but provides you with the ability to plot (and customize) both above and below ATR calculated bands. With this indicator you can display all 3 or any combination of the bands: the RexDog Avg, Adding ATR Upper or the Subtracting ATR Below. To remove a plot or customize color and line size go to the style options. Before we get detailed with this version you can customize the default average factor of the RexDog Avg (default is 6). More tips on this below. How This Works Just as with the RexDog Average we take the 6 ATR data points (200, 100, 50, 24, 9, 5). We then create an average by dividing by 6. But wait there's more... With this indicator you can customize independently the above and below bands via a float value for precision. 6 is the default (you can customize by increments at 0.25 or input value you like 1-20). Now this works opposite how you might think but you'll get it once you start changing the numbers. For instance, editing the above band lowering the ATR factor will raise the band. RexDog Avg Factor With this release you are able to change the default average factor (6) to anything you want. You'll find though going too high or low from the default won't get the best results. The default increment change is 0.1 but you can enter any float value you like between 1-20. The Original RexDog Average Overview Yes, simple—the RexDog Average is a bias moving average indicator. The purpose is to provide the overall momentum bias you should have when trading an instrument. It works across all markets and all timeframes. Usage: Price above the RexDog AVG = long momentum bias Price below the RexDog AVG = short momentum bias With the ATR addition most likely your usage will be similar to Bollinger Bands. While not the same as in deviations much of the same principles might apply, especially with customization. *Note: we have banned the word “trend” in the RexDog Trading Method. Additional Usage Advice: If price rips through the average your momentum bias should probably change. 80% of the time when price moves through the RexDog Average it will come back and test the area around average within 1-2 bars. 20% of the time it does not. The momentum is so strong in that direction so look for a 50-70% tests of the bar that impulse through the RexDog Average. If you are using the RexDog Trading Method by default if the price is above the average and you are short you are in a fade trade. The momentum trade would be long. Of course reverse if price is below. On multiple time frames. Of course, one timeframe can be long bias and a lower timeframe can be short bias. Which one do you use? Both—if your in a short trade using lower timeframe and with the bias of the average your in a momentum trade—but on the higher timeframe your aware you are essential fading the overall momentum. Background: Rex and I searched high and low for one simple thing. A moving average (or combination of some) that we could use to form our momentum bias that worked for all timeframes and all markets we trade. We tried and tested them all. Even went down the path of ribbons and various other types of hybrid EMA /MA derivatives. Nothing had a high enough accuracy or mathematically was reliable that we could say with a high probability that it was on the right side of the momentum. We almost stopped and landed on using the true and tested 200 MA—but we found through extensive tests that using the 200MA or EMA you’re often late to the party. Look you don’t need to be the first one in the trade but having a heads up sure helps. To quote one of the best financial movies of the modern era—Margin Call: “There are three ways to make a living in this business: be first, be smarter, or cheat… it sure is a hell of a lot easier to be first”. The RexDog Average used properly enables you to be first or damn near close. Under the Hood: This is so simple most reading this will discount it. You might even scoff and berate Rex for wasting your time. But you would be wrong. The RexDog Average has been tested across all markets—FOREX, Crypto, Equities, Futures (even tick charts), and even the Penguin population in Antarctica. The RexDog Average is an average of 6 simple moving averages: 200, 100, 50, 24, 9, 5. Yes, that’s it.
Indicatore Pine Script®
di RexDogActual
4
S73 Colored RSIS73 Colored RSI Color change is based on above or below 50 mid line. When RSI is red (below 50), I like to look for shorts, and when RSI is green (above 50), I like to look for longs. Added extra bands for 10, 20, 80, and 90, so you can easily spot way oversold and way overbought conditions. I look at taking profit in the overbought, oversold zones. Hope you like it. BTC tips - bc1q5eyfentq9mvxmnceh605yd8fted5se5rcta9j7 LTC tips - LXhWhvN86wbLNvacaZpEzhVEcefyMDPtcQ
Indicatore Pine Script®
di Shane73
5
EMA Multi CrossThis is just a very simple EMA indicator that shows the 20, 50, 100, and 200 Exponential Moving Averages and plots some shapes when the lines cross from the 20 & 50, the 50 & 200, and the 100 & 200. I know there are many EMA indicators out there, but I couldn't find one that let me edit the colors, values, and toggle the crossings. Maybe some of you will find usefulness in having some of these extra options too. I use this occasionally on the Bitcoin 1 hour charts to see how the long-term trend is going. Here are some ways to read EMA lines: Slope: A rising moving average generally reflects a rising trend, while a falling moving average points to a falling trend. Crosses: Seeing when a slower moving average crosses over/under a faster moving average can be an indication of a trend. If a shorter moving average remains above the longer moving average after they cross, the uptrend is considered intact. The trend is seen as down when the shorter moving average is below the longer moving average. I prefer the slope of the two since crosses can cause some false positives if you are relying on it for trades.
Indicatore Pine Script®
di mmoiwgg
2
CCI45/SMA50 indy for 30 min SP500SPCFD:SPX The script determines entry points using 45 period CCI and 50 period SMA. Long condition: When CCI crosses up 150 treshold while price above 50 period SMA Short condition: When CCI crosses down -150 treshold while price below 50 period SMA Trades are executed above/below 1 point of high/low for long/short positions. Stops are just 1 point below/above of SMA. After 4 points of profit stops should be tightened. If you do not plan to hold the position for a long time, it can produce quick profit within 5-6 bars namely 2.5-3 hour. Otherwise you can manage the trade using SMA as trailing stop. This can be treated as a strategy of scalping which turns out a trend trading eventually if conditions good. Have a nice trading
Indicatore Pine Script®
di GurselKona