Mulakan

Cari dalam skrip untuk "vwap"

SPY to ES / MESSPY to ES is an indicator that converts SPY price targets to ES / MES futures price targets. This indicator is helpful when you have price targets for SPY but trade ES or MES futures instead of SPY. It coverts the SPY price targets to ES / MES futures, and draws the SPY VWAP line on your ES / MES chart. It supports the following lines Bullish Above Bearish Below Long PT1 Long PT2 Long PT3 Short PT1 Short PT2 Short PT3 It also converts the SPY VWAP to it's current ES / MES value. Note: The conversion do not work during pre and after market and the lines are only correct during market hours.
Penunjuk Pine Script®
oleh ItsAnders81
17
All-in-one CPR indicator Introduction and Acknowledgement: The script is basically a mashup script and provides a combined functionality of various indicators. I'll explain the usefulness and the optimal usage of the script after giving the credits where it is due. A CPR indicator for visually identifying the trend along with the strength of the trend is NOT available in the public library of TradingView. Hence, the need of this indicator. The credit of creating the original indicators remain unknown to me but I would like to acknowledge the authors whose formulae and codes I have used for creating this mashup indicator. - Frank Ochoa - Guruprasad Meduri - Rafael Zioni - Stoked Stocks - Pine team for default indicators The prime focus of the script is identifying and simplifying the 2 main aspects of a trend: 1. Direction / Underlying trend 2. Strength of the trend Flaws in traditional CPR: Some may see this as a flaw, some may not. So take my opinion with a grain of salt. In general, the traditional CPR indicator is used to plot just support and resistance levels, and the trend identification is purely discretionary. In addition to this, there is no way to assess the strength of the move without using a dedicated volumed based indicator. This causes amateur traders to take counter trades to the market direction. What is the need of this hybrid indicator? A CPR indicator that also aids in visually identifying the trend and the strength of the trend with respect to the price action in NOT available in the public library of TradingView. The traditional CPR can be used to assess the rough direction of the market but if it combined with the Hull ribbon, the probability of identifying the trend increases manifold. Hence, I decided to create this mashup indicator. In addition to the basic CPR pivots, the script provides the functionality of the following indicators: 1. HMA based trend ribbons with auto buy/sell signals 2. Volatility based bands - Bollinger bands, Keltner channel, Donchian channel, envelope. 3. Coloured volume candles to determine the strength of the trend 4. CPR with daily, weekly, and monthly levels 5. Previous day high/low 6. Tomorrow CPR 7. 3 Simple moving averages 8. Volume Weighted Average Price (VWAP) Correct usage of the indicator: The optimal usage of the indicators consists of mainly 2 parts: 1. Identification of the trend using the combination of CPR and Hull ribbon 2. Determining the strength of the trend How to identify the trend? In general, when the price is above CPR it is considered a bullish trend. Also, when the price is above the Hull ribbon, it is considered bullish. Reverse is true for a bearish trend. Combining the traditional CPR logic with the Hull trend ribbon, we can conclude that: 1. Bullish trend = Price above CPR and above the Hull ribbon 2. Bearish trend = Price below CPR and below the Hull ribbon If the Hull ribbon is showing a zig-zag move, the trend will be sideways. Also, the time frame of the Hull ribbon can be defined as per the need of the user. Exhibit: Identification of a bullish trend Exhibit: Identification of a bullish trend with a contra move (pullback) Exhibit: Identification of a bearish trend Exhibit: Identification of a bearish trend with a contra move (pullback) How to determine the strength of the trend? 1. Strong trend = The dark coloured candles represent volume more than 150% of the look back period. For instance 2. Moderate trend = The bright coloured candles represent volume between 50-150%. 3. Neutral trend = The Grey coloured candles represent a weak trend where the volume is less than 50%. Exhibit: Identification of a strong bearish trend along with the trend direction Exhibit: Identification of a strong bullish trend using only coloured candles All the other indicators including the SMA, VWAP, Bollinger bands, Keltner channels, etc. can be used as per the taste of the trader. Thanks for reading! I hope you find this indicator useful. Happy learning. Cheers! Rajat Kumar Singh (@johntradingwick) Community Manager (India), TradingView
Penunjuk Pine Script®
oleh johntradingwick
50
Short Volume StamperHello! BE SURE TO RUN THE SCRIPT WITH BAR REPLAY TO SEE WHAT IT DOES! I hope you like it! This script calculates the total short volume, total volume, and the short volume / total volume ratio since the 2-year high price. In addition, the approximate dollar value of all short volume since the 2-year high, and the approximate dollar value of all non-short sell volume since the 2-year high is calculated using VWAP. A red line (short interest ratio >= 20%) connects the 2-year high to current session’s high price; a green line (short interest ratio < 20%) connects the 2-year high to the current session’s high. The script also “stamps” sessions in which a NEW 1-year high in SHORT volume is achieved, and when a PIVOT POINT high is achieved (highest high over 51 sessions). When a new high in short volume is achieved the script aggregates the total volume and short volume for the 5 sessions prior to the new high, the session of the new high, and the 4 sessions after the new high (10 sessions). Additional volume calculations are performed for the 10 session period! When a pivot point high is achieved the script aggregates the total volume and short volume for the 3 sessions prior to the pivot high, the session of the pivot high, and the 2 sessions after the new high (6 sessions). Additional volume calculations are performed for the 6 session period! Red labels, red boxes, and red lines indicate a short volume ratio greater than or equal to 20% over the corresponding period! Green labels, green boxes, and green lines indicate a short volume ratio less than 20% over the corresponding period!
Penunjuk Pine Script®
oleh KioseffTrading
18
[CBB] Volatility Squeeze ToyThe main concept and features of this script are adapted from Mark Whistler's book "Volatility Illuminated". I have deviated from the use cases and strategies presented in the book, but the 3 Bollinger Bands use his optimized settings as the default length and standard deviation multiplier. Further insights into Mark's concepts and volatility research were gained by reading and watching some of TV user DadShark's materials (www.tradingview.com). This script has been through many refinements and feature cycles, and I've added unrelated complimentary features not present in the book. The indicator is better studied than described, and unless you have read the book, any short summary of the material will just make you squint and think about the wrong things. Here is a limited outline of features and concepts: 1. 3 Bollinger Bands of different length and/or deviation multiplier. Perhaps think of them as representing the various time frames that compression and expansion cycles and events manifest in, and also the expression of range, speed and price distribution within those time frames. You can gain insight into the magnitude of events based on how the three bands interact and stay contained, or not. If volatility is significant enough, all "time frames" represented by the bands will eventually record the event and subsequent price action, but the early signals will come from the spasms of the shortest, most volatile band. Many times the short band will contract again before, or just as it reaches a longer band, but in extreme cases, volatility will explode and all bands at all time frames will erupt in succession. In these cases you will see additional color representing shorter bands (lower time frame volatility in concept) traveling outside of longer bands. It is worth taking a look at the price levels and candles where these volatility bands cross each other. 2. In addition to the mean of the bands, there are a variety of other moving averages available to gauge trend, range, and areas of interest. This is accomplished with variable VWAP, ATR, smoothing, and a special derived loosely from the difference between them. 3. The bands are also used to derive conditions under which volatility is considered compressed, or in "squeeze" . Under these conditions the candles will turn yellow. Depending on your chart settings and indicator settings, these zones can be completely useless or drag on through fairly significant price action. Or, the can give you fantastic levels to watch for breakouts. The point is that volatility is compressed during these conditions, and you should expect the inevitable once this condition ends. Sometimes you can find yourself in a nice fat trend straight away, other times you may blow an account because you gorged your position based on arbitrary bar color. It's not like that. Pay attention to the highest and lowest bars of these squeeze ranges, and carefully observe future price action when it returns to these squeeze ranges. This info is more and more valuable at higher time frames. The 3 bands, a smoothed long trend VWAP, and the squeeze condition colored bars are all active by default. All features can be shown or hidden on the control panel. There are some deep market insights to mine if you live with this one for a while. As with any indicator, blunt "buy/sell here" approaches will lead to loss and frustration. however , if you pay attention to squeeze range, band/moving average confluence, high volume and/or large range candles their open/close behavior around these areas and squeeze ranges, you will start to catch the beginning of some powerful momentum moves. Enjoy!
Penunjuk Pine Script®
oleh bright_infinite
5
Per Volume Price ImpactLiquidity, Information and Market Timing * Market Liquidity The term liquidity can refer to many things in finance. In this article, we will limit the scope of discussion to the market’s ability to transact without incurring a significant increase in volatility. As we know, liquidity and volatility have an inversed relationship — the more ample the liquidity, the lower the volatility (attributed to transaction cost, price movement and, so on). With this understanding, we can say large movements in the market are driven by low liquidity. This does not seem to make sense because the markets are huge, how can it possibly be illiquid? Now, this has to do with how the market operates and how exchanges occur (This topic concerns the area of market microstructure). * Order Book & the Trading Process So how does a transaction actually occur in the market? Let’s assume we open a position with a market order. In this case, you will get the price on your quote board if there are enough units of assets people are willing to sell at that price. If there are not enough units, you will buy from the second-best price and so on until your order is filled. Now in the second case, as the order is being filled, the change in price is recorded. Therefore, if someone wishes to move the market, theoretically, they just need to buy up or sell up but it is problematic to do so. Here is why: while dry up the liquidity can make huge moves, it is inefficient to do so. it takes a lot of money to do that your position will be exposed, someone more resourceful than you may go against you and that is a huge risk market manipulation charges when you open a position, the entry price of the position is essentially a VWAP (volume-weighted average price). If you attempt to move the market and open a buy position at the same time, you will have a higher VWAP, eating into your own profit. I think these reasons are sufficient in establishing why opening a position and drying up liquidity to profit is a dumb idea. But of course, the institutions are not stupid, the alternative is to enter your position first then move the market. To measure liquidity one of the tools people use is the order book. It can offer an overview of the sentiment (by looking at the orders and changes in volume) and how people are positioned (if the broker offers such data). In my opinion, open interest is a much better tool than order as it records the transactions that have occurred, hence less prone to manipulations (google: “Navinder Singh Sarao”, the trader who used fake orders to manipulate algorithms to crash the market). But to quantify the order book is so much work as well (there are ways, just difficult), what we can do is to make things simpler. * Quantify Market Impact We know price and volume reflect information, while the past technical information has no predictive power per semi-strong form of EMH, empirical studies have often tested this theory over a longer time horizon. In our case, precisely due to the mechanism of exchange and human behavior (The lack of incentive to move the market right away) we can, in the very short term (often intraday), foresee if the market is going to move or not. Back to the very definition of liquidity being the ability to transact without moving the market significantly, we can take this definition and quantify it with this formula: Market Impact = (High — Low) / Volume Why specifically “high — low”, because that’s the complete information in that moment and it is corresponding to the volume. A little crude but it is the simplest form. A few things to take note of here: We can only know the complete picture once the candle is complete. This is fine in most markets because it takes time to gather money and orders. We often see high liquidity during certain time of the day, for example, when the market opens and so on. As a result, we need to take some scientific approaches to transform the data. Now, this looks much better. To interpret this graph, the lower the value, the lower the market impact, the deeper the liquidity. * Generate Tradable Insights To generate trade ideas isn’t a difficult task, we all know the RSI, MOM, STOC, etc. all the indicators attempt to draw boundaries, and we can do the same but we need to be a little more advanced and critical. step 1: we first need to normalize the data. To do that we will take the log of the values to make the skewed distribution normal. The result isn’t ideal if you zoom out but I think this is decent enough to work with. Here is This is still not a stationary time series, but it looks stable enough and it mean-reverts. So we turn to our lovely standard deviation bands for help. Step 2: Because this is not a stationary process (visually, you can test it statistically if you wish), we cannot just take sample mean and SD and also because we want to show off our data skills, so we turn to move averages and regressions. I’m going to use moving regression here because I think it is better (mean can be distorted by large values by a larger margin and it lags) I’m using the moving regression band on TradingView and 1.5 SD here for convenience, you can try to optimize the parameters with codes or other regression models if you wish. But I think it is more important to understand the rationale here. This step is essentially trying to figure out the anomalies in liquidity so that we can see when there is deep liquidity. This is also why choosing the parameter is crucial because you are essentially approximating how much informed trading is taking place (This is a concept in market microstructure for brokerages to set their spreads but it is not a good tool in a liquid market). By setting the level at 1.5 we are assuming about 86% of the time the market is in what we consider a normal liquid state. (again it is arbitrary, but based on the 68–95–99.7 rule of normal distribution). The rest of the time will be either low or high liquidity, When liquidity is deep, it perhaps, signals institutional money is pouring into the market and big moves may follow. * Conclusion There you have it, how to enter the market with the big bucks. But do take note there are plenty of assumptions and a lot to improve on here.
Penunjuk Pine Script®
oleh Yuhui_w
6
BUY/SELL SIGNALS from LSMA/ALMA/HMAThis indicator uses the Least Squares Moving Average (LSMA) in tandem with the Arnaud Legoux Moving Average (ALMA) and Hull Moving Average (HMA) to generate buy-sell signals, represented by the light blue and orange crosses respectively. The yellow lines produced by the indicator show periods of market uncertainty and possible reversal, and a modified, user-defined VWAP is given along with a 200 EMA. The point of this indicator was to create a smoother, more visually appealing moving-average, price action-based indicator when compared to the trend-step and simple moving average indicators available. This indicator uses a fast (25 period) LSMA coupled with a slower (50 period) HMA and ALMA in order to make signals both smooth and fast. This indicator will work on all markets, except the modified VWAP will naturally not function if the volume is unpublished for that market. Use of this indicator will be very strong in trending markets, as the yellow line will spot possible reversals quite early, meaning the trader can be ready early for the buy/sell signal to appear. Use of this indicator in sideways market conditions will be limited, as it is for all moving average-based indicators, but the damage will be minimal as bad trades will be quickly realized by the indicator and the color will switch to yellow, this is possible because of the settings differences between the period lengths of the LSMA vs the ALMA + HMA.
Penunjuk Pine Script®
oleh Jaerevan47
8
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
Penunjuk Pine Script®
oleh dturkuler
1
LPB MicroCycles StrategyWhat it is: We use the Hodrick-Prescott filter applied to the closing price, and then take the outputted trendline and apply a custom vwap, the time frame of which is based on user input, not the default 1 day vwap . Then we go long if the value 2 bars ago is greater then one bar ago. We sell and color the bars and lines when the if the value of 2 bars ago is less than one bar ago. Also included: GUI for backtesting ATR Based Stop Loss How to use: Go long when the indicators suggest it, and use the stop losses to reduce risk. Best if paired with a volatility measurement (inside candles, average true range , bollingerband%B)
Strategi Pine Script®
oleh tathal
1
GANN Square Of 9 PivotsGANN Square Of 9 Pivots How to use for Intraday ? Method 01 (From 9:05 am to 9:15 am or pre-open market) Take the Weighted Average Price or Volume Weighted Average Price (VWAP) or Time Weighted Average Price (TWAP) of any stock or index. You can use TWAP for Index as volume is not available. Method 02 (From 9:05 am to 9:15 am or pre-open market) Take the Last Traded Price (LTP) of index or stock Method 03 (After 9:30 am or after 1st 15 min) Only take Last Traded Price (LTP) of stock or index Ideal Time 15min to 1hr after market opens Indicator Features Lines Gray Dashed Line: Calculation Price Teal Solid Line: Long Above Red Solid Line: Short Below 3 Teal Dotted Lines: Bullish Targets 1, 2 & 3 3 Red Dotted Lines: Bearish Targets 1, 2 & 3 Labels 1st Numbers: Price 2nd Numbers in (): % change from LTP to that Level For Index As VWAP is not available for Index, TWAP (Time Weighted Average Price) values can be used for Index. Custom Price Inputs Price of your choice can be given manually by selecting: Source > Custom Enter Price > (type the price) Timeframe Higher timeframes like Weekly, Monthly can be changed using Timeframe Option For More Reading Reading: traderji.com/community/threads/intraday-trading-using-gann-calculator.39185/#post-419677 Calculator: stockmaniacs.net/freebies/free-tools/gann-square-of-9-calculator/
Penunjuk Pine Script®
oleh Arun_K_Bhaskar
134
Hilega-MilegaPublishing this script on special request. script siulates the strategy given by very polite and veteran trader from Patna ( NK Stock Talk ) . according to him, one can predict the market movement in any timeframe by applying some correlations of volume and price on top of strength. He recommends to apply weighted moving avergage ( to predict volume factor ) on top of RSI and EMA to predict price ( on top of RSI again ) along with VWAP . i could not include VWAP here in script but it can be added separatly by just striking "/" on chart. for more information and understanding on the strategy, one can refer the channel of NK Stock talk search "Hilega To Milega (Hilbe_milbe ) Trading & Investing super System" on youtube. Hopefully this will be usefull for all those who are using basic serverice of trading view and could not do indicator on top of indicator. Disclaimer : I am just publishing for public use and nothing is recommendation. please understand it first before applying to trading. purpose of this script is solely on giving example how pine can be used to solved indicator on indicator problems. all credit to person who created this strategy. Thanks -daytraderph
Penunjuk Pine Script®
oleh daytraderph
18
[kai]MAYou can display various types of moving averages up to 5 lines. The following moving averages are available sma, vwma, ema, rma, wma, hma, ssma, jma, dema, tema, trima, t3, tma, lsma, kama, mama, frma, vwap, donchian The following moving averages are the original moving averages evma, rvma, wvma, terima, twrima 最大５本までの様々な種類の移動平均線を表示できます 以下の移動平均線が使用可能です sma, vwma, ema, rma, wma, hma, ssma, jma, dema, tema, trima, t3, tma, lsma, kama, mama, frma, vwap, donchian 以下の移動平均線はオリジナル移動平均線です evma, rvma, wvma, terima, twrima
Penunjuk Pine Script®
oleh xinolia
Ultimate Strategy TemplateHello Traders As most of you know, I'm a member of the PineCoders community and I sometimes take freelance pine coding jobs for TradingView users. Off the top of my head, users often want to: - convert an indicator into a strategy, so as to get the backtesting statistics from TradingView - add alerts to their indicator/strategy - develop a generic strategy template which can be plugged into (almost) any indicator My gift for the community today is my Ultimate Strategy Template Step 1: Create your connector Adapt your indicator with only 2 lines of code and then connect it to this strategy template. For doing so: 1) Find in your indicator where are the conditions printing the long/buy and short/sell signals. 2) Create an additional plot as below I'm giving an example with a Two moving averages cross. Please replicate the same methodology for your indicator wether it's a MACD, ZigZag, Pivots, higher-highs, lower-lows or whatever indicator with clear buy and sell conditions //@version=4 study(title='Moving Average Cross', shorttitle='Moving Average Cross', overlay=true, precision=6, max_labels_count=500, max_lines_count=500) type_ma1 = input(title="MA1 type", defval="SMA", options= ) length_ma1 = input(10, title = "   MA1 length", type=input.integer) type_ma2 = input(title="MA2 type", defval="SMA", options= ) length_ma2 = input(100, title = "   MA2 length", type=input.integer) // MA f_ma(smoothing, src, length) => iff(smoothing == "RMA", rma(src, length), iff(smoothing == "SMA", sma(src, length), iff(smoothing == "EMA", ema(src, length), src))) MA1 = f_ma(type_ma1, close, length_ma1) MA2 = f_ma(type_ma2, close, length_ma2) // buy and sell conditions buy = crossover(MA1, MA2) sell = crossunder(MA1, MA2) plot(MA1, color=color_ma1, title="Plot MA1", linewidth=3) plot(MA2, color=color_ma2, title="Plot MA2", linewidth=3) plotshape(buy, title='LONG SIGNAL', style=shape.circle, location=location.belowbar, color=color_ma1, size=size.normal) plotshape(sell, title='SHORT SIGNAL', style=shape.circle, location=location.abovebar, color=color_ma2, size=size.normal) /////////////////////////// SIGNAL FOR STRATEGY ///////////////////////// Signal = buy ? 1 : sell ? -1 : 0 plot(Signal, title="🔌Connector🔌", transp=100) Basically, I identified my buy, sell conditions in the code and added this at the bottom of my indicator code Signal = buy ? 1 : sell ? -1 : 0 plot(Signal, title="🔌Connector🔌", transp=100) Important Notes 🔥 The Strategy Template expects the value to be exactly 1 for the bullish signal , and -1 for the bearish signal Now you can connect your indicator to the Strategy Template using the method below or that one Step 2: Connect the connector 1) Add your updated indicator to a TradingView chart 2) Add the Strategy Template as well to the SAME chart 3) Open the Strategy Template settings and in the Data Source field select your 🔌Connector🔌 (which comes from your indicator) From then, you should start seeing the signals and plenty of other stuff on your chart 🔥 Note that whenever you'll update your indicator values, the strategy statistics and visual on your chart will update in real-time Settings - Color Candles : Color the candles based on the trade state (bullish, bearish, neutral) - Close positions at market at the end of each session : useful for everything but cryptocurrencies - Session time ranges : Take the signals from a starting time to an ending time - Close Direction : Choose to close only the longs, shorts, or both - Date Filter : Take the signals from a starting date to an ending date - Set the maximum losing streak length with an input - Set the maximum winning streak length with an input - Set the maximum consecutive days with a loss - Set the maximum drawdown (in % of strategy equity) - Set the maximum intraday loss in percentage - Limit the number of trades per day - Limit the number of trades per week - Stop-loss: None or Percentage or Trailing Stop Percentage or ATR - Take-Profit: None or Percentage or ATR - Risk-Reward based on ATR multiple for the Stop-Loss and Take-Profit This script is open-source so feel free to use it, and optimize it as you want Alerts Maybe you didn't know it but alerts are available on strategy scripts. I added them in this template - that's cool because: - if you don't know how to code, now you can connect your indicator and get alerts - you have now a cool template showing you how to create alerts for strategy scripts Source: www.tradingview.com I hope you'll like it, use it, optimize it and most importantly....make some optimizations to your indicators thanks to this Strategy template Special Thanks Special thanks to @JosKodify as I borrowed a few risk management snippets from his website: kodify.net Additional features I thought of plenty of extra filters that I'll add later on this week on this strategy template Best Dave
Strategi Pine Script®
oleh Daveatt
274
JBravo Swing with GoGo JuiceThis follows Johnny Bravo Dominate Stocks strategy. When a full price bar closes above SMA 9, this indicates a buy. When the price bar closes below EMA20, this indicates a sell. If the MAs are all sloping up and aligned in order 9,20,180, then this indicates a Strong Buy. If the MAs are all sloping down and aligned in order 180,20,9, then this indicates a Strong Sell. In addition, when VWAP crosses above the EMA20, "GoGo Long" is indicated on the chart.  When VWAP crosses below the EMA20, "GoGo Short" is indicated on the chart. JBravo refers to this as the GoGo juice.
Strategi Pine Script®
oleh bradvaughn
2
888 BOT #alerts█ 888 BOT #alerts (open source) This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade. It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security ()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode. Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage. It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following: 1. Jurik Moving Average It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3. There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag' The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost. Green: Bullish , Red: Bearish . 2. Range filter Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term. First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'. The filter is then calculated by adjusting price movements that do not exceed the specified range. Finally, the target ranges are plotted to show the prices that will trigger the filter movement. Green: Bullish , Red: Bearish . 3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura) It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'. The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold. The red color of the bars indicates that the trend is down and that the ADX is above the threshold level. The orange color of the bars indicates that the price is not strong and will surely lateralize. You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation. 4. Parabolic SAR This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend. 5. RSI with Volume This indicator was created by LazyBear from the popular RSI . The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices. LazyBear added a volume parameter that makes it more accurate to the market movement. A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish . 6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z ) It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals. We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line. There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation. 7. Volume Condition Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement. With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line. The maximum leverage is 8. 8. Bollinger Bands This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph. The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average) The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average) The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average. the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance. In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing. Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit. █ STOP LOSS and RISK MANAGEMENT. A good risk management is what can make your equity go up or be liquidated. The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%. % Risk: (% Stop Loss x % Equity per trade x Leverage) / 100 First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa. In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' wich is calculated according with: '%EQUITY ON EACH ENTRY'. Only works with Stop Loss on 'NORMAL' or 'BOTH' mode. 'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state. █ ALERTS There is an alert for each leverage, therefore a maximum of 8 alerts can be set for 'long' and 8 for 'short', plus an alert to close the trade with Take Profit or Stop Loss in market mode. You can also place Take Profit limit and Stop Loss limit orders a few seconds after filling the position entry order. - 'MAXIMUM LEVERAGE': It is the maximum allowed multiplier of the % quantity entered on each entry for 1X according to the volume condition. - 'ADVANCE ALERTS': There is always a time delay from when the alert is triggered until it reaches the exchange and can be between 1-15 seconds. With this parameter, you can advance the alert by the necessary seconds to activate it earlier. In this way it can be synchronized with the exchange so that the execution time of the entry order to the position coincides with the opening of the bar. The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes. For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Penunjuk Pine Script®
oleh UnknownUnicorn2151907
14
888 BOT #backtest█ 888 BOT #backtest (open source) This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade. It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode. Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage. It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following: 1. Jurik Moving Average It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3. There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag' The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost. Green: Bullish , Red: Bearish . 2. Range filter Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term. First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'. The filter is then calculated by adjusting price movements that do not exceed the specified range. Finally, the target ranges are plotted to show the prices that will trigger the filter movement. Green: Bullish , Red: Bearish . 3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura) It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'. The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold. The red color of the bars indicates that the trend is down and that the ADX is above the threshold level. The orange color of the bars indicates that the price is not strong and will surely lateralize. You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation. 4. Parabolic SAR This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend. 5. RSI with Volume This indicator was created by LazyBear from the popular RSI . The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices. LazyBear added a volume parameter that makes it more accurate to the market movement. A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish . 6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z ) It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals. We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line. There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation. 7. Volume Condition Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement. With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line. The maximum leverage is 8. 8. Bollinger Bands This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph. The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average) The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average) The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average. the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance. In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing. Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit. █ STOP LOSS and RISK MANAGEMENT. A good risk management is what can make your equity go up or be liquidated. The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%. % Risk: (% Stop Loss x % Equity per trade x Leverage) / 100 First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa. In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' 'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state. █ BACKTEST The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as: - RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown. - PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5. - SHARPE: (Return system - Return without risk) / Deviation of returns. When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters. - MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss). To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0 The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well. PARAMETERS 'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest. 'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars. 'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section. 'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition. The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes. For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Strategi Pine Script®
oleh UnknownUnicorn2151907
10
Divergence RSI-OBVDivergence detector on RSI of On Balance Volume. Using a modified script from XaviZ(RSI-VWAP) but instead of VWAP as a source in this script source is OBV, for divergence detector is a script from Libertus. In this version, results are filtered using STOCH oversold or overbought filter from matt_b script MFI Divergence v2. An indicator for entry in choppy markets, signals for entry in trending market to follow the trend work well. A good way to spot if there is a weakness in a trend but gives too many false positives for spot reversal, so only good for scalping with tight stops if betting against the trend. Multiple divergences in combination with indicator hitting the overbought or oversold should give good places for entry.
Penunjuk Pine Script®
oleh kensoka
1
Every single moving average (ALMA, EMA, HMA, KAMA, RMA, SMA...)So you may be looking at the graph and thinking "this is a mess", and I agree. The purpose of this script is to plot in the same graph every single type of moving average that I could think of, so you can find the ones that are better for your timeframe and for your asset. Once you add it, disable those types that doesn't seem to serve your purpose, until you can select one you like. The average types are: ALMA, EMA, HMA, KAMA, RMA, SMA, SWMA, VIDYA, VWAP, VWMA, and WMA. Each one is ploted two times (except SWMA and VWAP), one with a short period, and another with a long, both of which you can configure.
Penunjuk Pine Script®
oleh EduardoMattje
3