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Relative Currency StrengthThis indicator shows the relative strength of the majors and crosses compared to each other. So, if you are taking a EURUSD long, are you taking it because the Euro is strong or the USD is weak or both? How do you know? This indicator will show you how strong a current is compared to the other majors and crosses. So in the EURUSD example, you will know how strong the EUR is compared to NZD, AUD, JPY, CHF, GBP, CAD and USD and how strong the USD is compared to the NZD, AUD, JPY, CHF, EUR, GBP and CAD. You can then make an informed choice as to whether the trade makes sense. Notice in the examples below how the indicator clearly shows how CHF was weak all day and GBP was strong in the morning but then collapsed in the afternoon. The indicator functions by taking a set point in the day and comparing how price compares to it for the rest of the day. I set it to Europe open and then take context of how a currency is comparing to that price (verses the other currencies) over the course of the day. You can use the indicator in 2 ways - you set a currency as a baseline and see how other currencies fluctuate about it or you can see how all the currencies strengths compare to each other. If you have the full tradingview membership you can have 8 screens and see how each currency compares. if you set the indicator to automatic it will automatically default to the base currency that you compare to OANDA gold. The general strength is useful as a general overview as to where strength and weakness is in the charts. It works by using gold as the baseline which is a reliable way to compare strengths. REMEMBER, THIS GIVES SUMMARY DATA. USE IT TO GET MARKET CONTEXT IN ORDER TO IDENTIFY WHERE STRENGTH AND WEAKNESS IS - YOU CANT JUST TRADE FROM IT. It's extremely useful in fast moving markets to easily stay aware of what is happening.
Pine Script™ indikatörü
john_everist tarafından
66
Neglected Volume by DGTVolume is one piece of information that is often neglected, however, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. In addition to technicians, fundamental investors also take notice of the numbers of shares traded for a given security. What is Volume? The volume represents all the recorded trades for a security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security. Think of volume as the force that drives the market. Volume substantiates, energizes, and empowers price. When volume increases, it confirms price direction; when volume decreases, it contradicts price direction. In theory, increases in volume generally precede significant price movements. However, If the price is rising in an uptrend but the volume is reducing or unchanged, it may show that there’s little interest in the security, and the price may reverse. A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion. Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume, you should consider the breakout suspect and prime for a reversal off the highs/lows Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand note : there’s no centralized exchange where trades are recorded, so the volume data represents what happens at a particular exchange only In most charting platforms, the volume indicator is presented as color-coded bars, green if the security closes up and red if the security closed lower, where the height of the bars show the amount of the recorded trades Within this study, Relative Volume , Volume Weighted Bars and Volume Moving Average are presented, where Relative Volume relates current trading volume to past trading volume over long period, Volume Weighted Bars presents price bars colored based on short period past trading volume average, and Volume Moving Average is average of volume over shot period Relative Volume is presented as color-coded bars similar to regular Volume indicator but uses four color codes instead two. Notable increases of volume are presented in green and red while average values with back and gray, hence adding ability to emphasis notable increases in the volume. It is kind of a like a radar for how "in-play" a security is. Users are allowed to change the threshold, default value is set to Fibonacci golden ration standard deviation away from its moving average. Volume Weighted Bars, a study of Kıvanç Özbilgiç, aims to present if price movements are supported by Volume. Volume Weighted Bars are calculated based on shot period volume moving average which will reflect more recent changes in volume. Price actions with high volume will be displayed with darker colors, average volume values will remain as they are and low volume values will be indicated with lighter colors. Volume Moving Average, Is short period volume moving average, aims to display visually the volume changes. Please not that Relative Volume bars are calculated based on standard deviation of long volume moving average. What Else? Apart from the volume itself, your ability to assess what volume is telling you in conjunction with price action can be a key factor in your ability to turn a profit in the market. It makes little sense to analyze the volume alone. To correctly interpret the volume data, it shall be seen in the light of what the price is doing. there are a lot of other indicators that are based on the volume data as well as price action. Analysing those volume indicators has always helped traders and investors to better understand what is happening in the market. Here are the ones adapted with this study. Some of them used as a source for our aim, some adapted as they are with slight changes to fit visually to this study and please note that the numerical presentation may differ from their regular use • On Balance Volume • Divergence Indicator • Correlation Coefficient • Chaikin Money Flow Shortly; On Balance Volume The On Balance Volume indicator, is a technical analysis indicator that relates volume flow to changes in a security’s price. It uses a cumulative total of positive and negative trading volume to predict the direction of price. The OBV is a volume-based momentum oscillator, so it is a leading indicator — it changes direction before the price Granville, creator of OBV, proposed the theory that changes in volume precede price movements in a measurable way. He believed that volume was the main force behind major market moves and thought of OBV’s prediction of price changes as a compressed spring that expands rapidly when released. It is believed that the OBV shows the interactions between the institutional and retail traders in the market If the price makes a new high, the OBV should also make a new high. If the OBV makes a lower high when the price makes a higher high, there’s a classical bearish divergence — indicating that only the retail traders are buying. Another type of bearish divergence occurs when the price remains relatively quiet and fails to make a higher high but the OBV soars higher than the previous high — indicating that the institutional traders are accumulating short positions. On the other hand, if the price makes a lower low and the OBV makes a higher low, there is a classical bullish divergence, showing that the institutional traders don’t believe in that move With this study, Momentum and Acceleration (optional) of OBV is calculated and presented, where momentum is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security. It is also referred to as a technical analysis indicator and oscillator that is able to determine market trends. Additionally, smoothing functionality with Least Squares Method is added Divergences especially, should always be noted as a possible reversal in the current trend, so the divergence indicator is adapted with this study where the Momentum of OBV is assumed as Oscillator with similar usages as to RSI. Divergence is most often used to track and analyze the momentum in an asset’s price and the odds of a price reversal within the current trend. The divergence indicator warns traders and technical analysts of changes in a price/volume trend, oftentimes that it is weakening or changing direction. Correlation Coefficient The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. In other words, the closer the Correlation Coefficient is to 1.0, indicates the instruments will move up and down together as it is mostly expected with volume and price. So the Correlation Coefficient Indicator aims to display when the price and volume (on balance volume) is in correlation and when not. With this study blue represent positive correlation while orange negative correlation. The strength of the correlation is determined by the width of the bands, to emphasis the effect horizontal lines are drawn with values set to 0.5 and -0.5. the values above 0.5 (or below -0.5) shows stronger correlation. Chaikin Money Flow , provide optionally as a companion indicator The Chaikin money flow indicator (CMF) is a volume indicator that measures the money flow volume over a chosen period. The money flow volume is a measure of the volume and where the price closed relative to the trading session’s range. It comes from the idea that buying pressure is indicated by a rising volume and recurrent closes in the upper part of the session’s price range while selling pressure is demonstrated by an increasing volume and repeated closes in the lower part of the price range. Both buying and selling pressures are accompanied by an increase in volume, but the location of the closing prices are in accordance with the direction of price Special thanks to @InvestCHK and @hjsjshs , who have enormously contributed while preparing this study related studies: Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script™ indikatörü
dgtrd tarafından
128
Order Block Finder (Experimental)The purpose of this experimental Indicator is to help identifying Institutional Order Blocks. Often these Order Blocks can be observed at the beginning of a strong move, but there is a significant probability that these price levels will be revisited at a later point in time again. Therefore these are interesting levels to place limit orders (Buy Orders for Bullish OB / Sell Orders for Bearish OB). A Bullish Order block is defined as the last down candle before a sequence of up candles. (Relevant price range "Open" to "Low" is marked) A Bearish Order Block is defined as the last up candle before a sequence of down candles. (Relevant price range "Open" to "High" is marked) In the settings the number of required sequential candles can be adjusted. Furthermore a %-threshold can be entered. It defines which minimum %-change the sequential move needs to achieve in order to identify a relevant Order Block. If this is used, it makes sense to adjust it to the timeframe which is analyzed as of course higher timeframes usually produce bigger moves. Channels for the last Bullish/Bearish Block can be shown/hidden. In addition to the upper/lower limits of each Order Block, also the equlibrium (average value) is marked as this is an interesting area for price interaction. Please note that you can optionally display a "Docu"-Label which shows some information about the indicator as a tooltip. Remark: As the identification of a relevant Order Block is only possible after the required number of subsequent candles has closed, this indicator "repaints" by definition. But I do not see this as an issue as the relevancy of the Order Blocks and the interaction of price with these levels usually only happens longer in the future anyway.
Pine Script™ indikatörü
wugamlo tarafından
397
Combo Strategy 123 Reversal & Fractal Chaos Bands This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy Stock market moves in a highly chaotic way, but at a larger scale, the movements follow a certain pattern that can be applied to shorter or longer periods of time and we can use Fractal Chaos Bands Indicator to identify those patterns. Basically, the Fractal Chaos Bands Indicator helps us to identify whether the stock market is trending or not. When a market is trending, the bands will have a slope and if market is not trending the bands will flatten out. As the slope of the bands decreases, it signifies that the market is choppy, insecure and variable. As the graph becomes more and more abrupt, be it going up or down, the significance is that the market becomes trendy, or stable. Fractal Chaos Bands Indicator is used similarly to other bands-indicator (Bollinger bands for instance), offering trading opportunities when price moves above or under the fractal lines. The FCB indicator looks back in time depending on the number of time periods trader selected to plot the indicator. The upper fractal line is made by plotting stock price highs and the lower fractal line is made by plotting stock price lows. Essentially, the Fractal Chaos Bands show an overall panorama of the price movement, as they filter out the insignificant fluctuations of the stock price. WARNING: - For purpose educate only - This script to change bars colors.
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HPotter tarafından
15
Spearman Rank Correlation CoefficientI'm pleased to introduce this script in honor of the new array functions introduced to PineScript version 4.0. This update is a long time coming and opens the door to amazing scripting possibilities! Definition Named after Charles Spearman and denoted by the Greek letter ‘ ρ ’ (rho), the Spearman rank correlation coefficient is the nonparametric version of the Pearson correlation coefficient . Use the Spearman rank correlation when you have two ranked variables, and you want to see whether the two variables covary. That is, as one variable increases/decreases, the other variable tends to increase/decrease respectively. It is best used to discover if two variables (and in this first version of the indicator, two ticker symbols) increase and decrease together. There are advantages to using this version of correlation vs. the Pearson R. Interpretation The value oscillates between +1 and -1. A value of +1 means the two variables are perfectly correlated, that is they are increasing and decreasing together in perfect harmony. A value of -1 means the two variables exhibit a perfect negative correlation, that is they increase and decrease oppositely. A value of zero means the two variables are not correlated at all (noise).
Pine Script™ indikatörü
mortdiggiddy tarafından
28
Resampling Filter Pack [DW]This is an experimental study that calculates filter values at user defined sample rates. This study is aimed to provide users with alternative functions for filtering price at custom sample rates. First, source data is resampled using the desired rate and cycle offset. The highest possible rate is 1 bar per sample (BPS). There are three resampling methods to choose from: -> BPS - Resamples based on the number of bars. -> Interval - Resamples based on time in multiples of current charting timeframe. -> PA - Resamples based on changes in price action by a specified size. The PA algorithm in this script is derived from my Range Filter algorithm. The range for PA method can be sized in points, pips, ticks, % of price, ATR, average change, and absolute quantity. Then, the data is passed through one of my custom built filter functions designed to calculate filter values upon trigger conditions rather than bars. In this study, these functions are used to calculate resampled prices based on bar rates, but they can be used and modified for a number of purposes. The available conditional sampling filters in this study are: -> Simple Moving Average (SMA) -> Exponential Moving Average (EMA) -> Zero Lag Exponential Moving Average (ZLEMA) -> Double Exponential Moving Average (DEMA) -> Rolling Moving Average (RMA) -> Weighted Moving Average (WMA) -> Hull Moving Average (HMA) -> Exponentially Weighted Hull Moving Average (EWHMA) -> Two Pole Butterworth Low Pass Filter (BLP) -> Two Pole Gaussian Low Pass Filter (GLP) -> Super Smoother Filter (SSF) Downsampling is a powerful filtering approach that can be applied in numerous ways. However, it does suffer from a trade off, like most studies do. Reducing the sample rate will completely eliminate certain levels of noise, at the cost of some spectral distortion. The lower your sample rate is, the more distortion you'll see. With that being said, for analyzing trends, downsampling may prove to be one of your best friends!
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DonovanWall tarafından
32
Matrix functions - JD///////////////////////////////////////////////////////////////////////////////////////////////////////////////// // The arrays provided in Pinescript are linear 1D strucures that can be seen either as a large vertical stack or // a horizontal row containing a list of values, colors, bools,.. // // With the FUNCTIONS in this script the 1D ARRAY LIST can be CONVERTED INTO A 2D MATRIX form // // /////////////////////////////////////////// /// BASIC INFO ON THE MATRIX STRUCTURE: /// /////////////////////////////////////////// // // The matrix is set up as an 2D structure and is devided in ROWS and COLUMNS. // following the standard mathematical notation: // // a 3 x 4 matrix = 4 columns // 0 1 2 3 column index // 0 // 3 rows 1 // 2 // row // index // // With the use of some purpose-built functions, values can be placed or retrieved in a specific column of a certain row // this can be done by intuitively using row_nr and column_nr coördinates, // without having to worry on what exact index of the Pine array this value is located (the functions do these conversions for you) // // // the syntax I propose for the 2D Matrix array has the following structure: // // - the array starts with 2 VALUES describing the DIMENSION INFORMATION, (rows, columns) // these are ignored in the actual calculations and serve as a metadata header (similar to the "location, time,... etc." data that is stored in photo files) // so the array always carries it's own info about the nr. of rows and columns and doesn't need is seperate "info" file! // // To stay consistent with the standard Pinescript (array and ) indexing: // - indexes for sheets and columns start from 0 (first) and run up to the (total nr of sheets or columns) - 1 // - indexes for rows also start from 0 (most recent, cfr. ) and run up to the (total nr of rows) - 1 // // - this 2 value metadata header is followed by the actual df data // the actual data array can consist of (100,000 - 2) usable items, // // In a theoretical example, you can have a matrix with almost 20,000 rows with each 5 columns of data (eg. open, high, low, close, volume) in it!!! // // /////////////////////////////////// /// SCHEMATIC OF THE STRUCTURE: /// /////////////////////////////////// // ////// (metadata header with dimensions info) // // (0) (1) (array index) //
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Duyck tarafından
28
Function Polynomial RegressionDescription: A function that returns a polynomial regression and deviation information for a data set. Inputs: _X: Array containing x data points. _Y: Array containing y data points. Outputs: _predictions: Array with adjusted _Y values. _max_dev: Max deviation from the mean. _min_dev: Min deviation from the mean. _stdev/_sizeX: Average deviation from the mean. Resources: en.wikipedia.org rosettacode.org
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RicardoSantos tarafından
59
SMA Directional Matrix [LuxAlgo]This script was created in collaboration with alexgrover and displays a simple & elegant panel showing the direction of simple moving averages with periods in a user-selected range (Min, Max). The displayed number in the panel is the period of a simple moving average and the symbol situated at the right of it is associated with the direction this moving average is taking. Settings Min: Minimum period of the moving average Max: Maximum period of the moving average Src: Source input of the moving averages Number Of Columns: Number of columns to be displayed in the panel, handy when using a large range of periods. Usage Looking at the direction of moving averages with different periods is extremely useful when it comes to having information about the short/mid/long term overall market sentiment, and can also tell us if the market is trending or ranging. Here we use periods ranging from 25 to 50, we can see that shorter moving averages react to the recent upward price variation, longer-term moving averages however are still affected by the overall downward variation you can see on the image. We can as such get information about the presence of potentials divergences, with shorter-term moving averages reacting to the divergence while the longer-term moving averages will still display the direction of the main trend. As such the indicator can give information about how clean a trend is, with a clean trend being defined as a variation containing no retracements. When our trend contains no retracement, the mid/long term moving averages will all have the same direction, however, when a retracement is present, the midterm moving averages might be affected by it, thus displaying a direction contrary to the main trend. When the market is ranging we can expect the panel to display an equal number of decreasing/increasing moving averages. Possible Issues When using a large range of periods, you might have an error message showing: "String is too long", try lowering the range of periods by increasing Min or decreasing Max . If the script displays the error message "Loop is too long to execute", try resetting the settings and change them back to the one you wanted to use.
Pine Script™ indikatörü
LuxAlgo tarafından
23
McGinley Dynamic (Improved) - John R. McGinley, Jr.For all the McGinley enthusiasts out there, this is my improved version of the "McGinley Dynamic", originally formulated and publicized in 1990 by John R. McGinley, Jr. Prior to this release, I recently had an encounter with a member request regarding the reliability and stability of the general algorithm. Years ago, I attempted to discover the root of it's inconsistency, but success was not possible until now. Being no stranger to a good old fashioned computational crisis, I revisited it with considerable contemplation. I discovered a lack of constraints in the formulation that either caused the algorithm to implode to near zero and zero OR it could explosively enlarge to near infinite values during unusual price action volatility conditions, occurring on different time frames. A numeric E-notation in a moving average doesn't mean a stock just shot up in excess of a few quintillion in value from just "10ish" moments ago. Anyone experienced with the usual McGinley Dynamic, has probably encountered this with dynamically dramatic surprises in their chart, destroying it's usability. Well, I believe I have found an answer to this dilemma of 'susceptibility to miscalculation', to provide what is most likely McGinley's whole hearted intention. It required upgrading the formulation with two constraints applied to it using min/max() functions. Let me explain why below. When using base numbers with an exponent to the power of four, some miniature numbers smaller than one can numerically collapse to near 0 values, or even 0.0 itself. A denominator of zero will always give any computational device a horribly bad day, not to mention the developer. Let this be an EASY lesson in computational division, I often entertainingly express to others. You have heard the terminology "$#|T happens!🙂" right? In the programming realm, "AnyNumber/0.0 CAN happen!🤪" too, and it happens "A LOT" unexpectedly, even when it's highly improbable. On the other hand, numbers a bit larger than 2 with the power of four can tremendously expand rapidly to the numeric limits of 64-bit processing, generating ginormous spikes on a chart. The ephemeral presence of one OR both of those potentials now has a combined satisfactory remedy, AND you as TV members now have it, endowed with the ever evolving "Power of Pine". Oh yeah, this one plots from bar_index==0 too. It also has experimental settings tweaks to play with, that may reveal untapped potential of this formulation. This function now has gain of function capabilities, NOT to be confused with viral gain of function enhancements from reckless BSL-4 leaking laboratories that need to be eternally abolished from this planet. Although, I do have hopes this imd() function has the potential to go viral. I believe this improved function may have utility in the future by developers of the TradingView community. You have the source, and use it wisely... I included an generic ema() plot for a basic comparison, ultimately unveiling some of this algorithm's unique characteristics differing on a variety of time frames. Also another unconstrained function is included to display some the disparities of having no limitations on a divisor in the calculation. I strongly advise against the use of umd() in any published script. There is simply just no reason to even ponder using it. I also included notes in the script to warn against this. It's funny now, but some folks don't always read/understand my advisories... You have been warned! NOTICE: You have absolute freedom to use this source code any way you see fit within your new Pine projects, and that includes TV themselves. You don't have to ask for my permission to reuse this improved function in your published scripts, simply because I have better things to do than answer requests for the reuse of this simplistic imd() function. Sufficient accreditation regarding this script and compliance with "TV's House Rules" regarding code reuse, is as easy as copying the entire function as is. Fair enough? Good! I have a backlog of "computational crises" to contend with, including another one during the writing of this elaborate description. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
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ImmortalFreedom tarafından
42
RSI cyclic smoothed v2Cyclic Smoothed Relative Strength Indicator The cyclic smoothed RSI indicator is an enhancement of the classic RSI , adding additional smoothing according to the market vibration, adaptive upper and lower bands according to the cyclic memory and using the current dominant cycle length as input for the indicator. The cRSI is used like a standard indicator. The chart highlights trading signals where the signal line crosses above or below the adaptive lower/upper bands. It is much more responsive to market moves than the basic RSI. You can also review this short idea where BTC went down from 4300 USD (3 Sept 17) to 3700 USD (15 Sept 17) after the idea was posted and showed the clear short exit with the next low: The indicator uses the dominant cycle as input to optimize signal, smoothing and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Chapter 4 "Fine tuning technical indicators" of the book "Decoding the Hidden Market Rhythm, Part 1" available at your favorite book store. This is the open-source code version of the requested script already published as protected indicator back in 2017 "RSI cyclic smoothed". Now made public as v2. Would love to receive feedback and see your ideas.
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StockMarketCycles tarafından
100
Relative Strength of Volume Indicators by DGTThe Relative Strength Index (RSI) , developed by J. Welles Wilder, is a momentum oscillator that measures the speed and change of price movements. • Traditionally the RSI is considered overbought when above 70 and may be primed for a trend reversal or corrective pullback in price, and oversold or undervalued condition when below 30. During strong trends, the RSI may remain in overbought or oversold for extended periods. • Signals can be generated by looking for divergences and failure swings. If underlying prices make a new high or low that isn't confirmed by the RSI, this divergence can signal a price reversal. If the RSI makes a lower high and then follows with a downside move below a previous low, a Top Swing Failure has occurred. If the RSI makes a higher low and then follows with an upside move above a previous high, a Bottom Swing Failure has occurred • RSI can also be used to identify the general trend. 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 This study aim to implement Relative Strength concept on most common Volume indicators, such as • Accumulation Distribution is a volume based indicator designed to measure underlying supply and demand • Elder's Force Index (EFI) measures the power behind a price movement using price and volume • Money Flow Index (MFI) measures buying and selling pressure through analyzing both price and volume (used as it is) • On Balance Volume (OBV) , created by Joe Granville, is a momentum indicator that measures positive and negative volume flow • Price Volume Trend (PVT) is a momentum based indicator used to measure money flow Plotting will be performed for regular RSI and RSI of Volume indicator (RSI(VOLX)) selected from the dialog box, where the possibility to apply smoothing is provided as option. Additionally, labels can be added optionally to display the value and name of selected volume indicator Secondly, ability to present Volume Histogram within the same study along with its Moving Average or Volume Oscillator based on selection Finally, Volume Based Colored Bars , a study of Kıvanç Özbilgiç is added to emphasis volume changes on top of the bars Nothing excessively new, the study combines RSI with; - RSI concept applied to some of the common Volume indicators presented with a highlighted over/under valued threshold area, optional labeling and smoothing, - added Volume data with additional information and - colored bars based on volume Thanks @Vishant_Meshram for the inspiration 🙏 Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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dgtrd tarafından
106
Volume by SessionThis indicator shows volume separated by session. The aim is clarify which session a volume bar occurred in and how it compares to the average of that session - NOT ALL SESSIONS. The logic is that there is little value comparing for example the volume of the London session against volume of the London-NY session - the London-NY will always have higher volume. But how does today's london compare to yesterdays london or the london average. The indicator has moving averages that only consider the average of previous episodes of the same session - so the average on the london session is the average of the past 5 london sessions (NY and asia and London-NY are not included in the calculation of the MA). The indicator goes as high as 1H timeframe and the average line does not function below 5 mins - thats a limitation on available data to calculate it. There's also a 'dark screen' function. Thats because I like a black background so the colours need to be inverted. Hope its useful. Good luck. John
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john_everist tarafından
33
COT Net Non-Commercials vs Commercials (Updated MTF Non-Repaint)Hello there, With this script, you can see CFTC COT Non Commercial and Commercial Positions together. This way, you can analyze net values ​​greater than 0 and smaller, as well as very dense and very shallow positions of producers and speculators. Green - Non Commercials - Speculators Red - Commercials - Producers This script is multi time-frame and non-repaint script. Data pulled through Quandl. And the latest version codes have been used. As time goes by, I will try to make useful modifications to this scheme. Regards.
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Noldo tarafından
55
Grid Like StrategyIt is possible to use progressive position sizing in order to recover from past losses, a well-known position sizing system being the "martingale", which consists of doubling your position size after a loss, this allows you to recover any previous losses in a losing streak + winning an extra. This system has seen a lot of attention from the trading community (mostly from beginners), and many strategies have been designed around the martingale, one of them being "grid trading strategies". While such strategies often shows promising results on paper, they are often subjects to many frictions during live trading that makes them totally unusable and dangerous to the trader. The motivations behind posting such a strategy isn't to glorify such systems, but rather to present the problems behind them, many users come to me with their ideas and glorious ways to make money, sometimes they present strategies using the martingale, and it is important to present the flaws of this methodology rather than blindly saying "you shouldn't use it". Strategy Settings Point determines the "grid" size and should be adjusted accordingly to the scale of the symbol you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, as such higher values will generate fewer trades. The order size determines the number of contracts/shares to purchase. The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing. Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after any wins. The Grid Grid strategies are commons and do not present huge problems until we use certain position sizing methods such as the martingale. A martingale is extremely sensitive to any kind of friction (frictional costs, slippage...etc), the grid strategy aims to provide a stable and simple environment where a martingale might possibly behave well. The goal of a simple grid strategy is to go long once the price crossover a certain level, a take profit is set at the level above the current one and stop loss is placed at the level below the current one, in a winning scenario the price reach the take profit, the position is closed and a new one is opened with the same setup. In a losing scenario, the price reaches the stop loss level, the position is closed and a short one is opened, the take profit is set at the level below the current one, and a stop loss is set at the level above the current one. Note that all levels are equally spaced. It follows from this strategy that wins and losses should be constant over time, as such our balance would evolve in a linear fashion. This is a great setup for a martingale, as we are theoretically assured to recover all the looses in a losing streak. Martingale - Exponential Decays - Risk/Reward By using a martingale we double our position size (exposure) each time we lose a trade, if we look at our balance when using a martingale we see significant drawdowns, with our balance peaking down significantly. The martingale sequence is subject to exponential growth, as such using a martingale makes our balance exposed to exponential decays, that's really bad, we could basically lose all the initially invested capital in a short amount of time, it follows from this that the theoretical success of a martingale is determined by what is the maximum losing streak you can endure Now consider how a martingale affects our risk-reward ratio, assuming unity position sizing our martingale sequence can be described by 2^(x-1) , using this formula we would get the amount of shares/contracts we need to purchase at the x trade of a losing streak, we would need to purchase 256 contracts in order to recover from a losing streak of size 9, this is enormous when you take into account that your wins are way smaller, the risk-reward ratio is totally unfair. Of course, some users might think that a losing streak of size 9 is pretty unlikely, if the probability of winning and losing are both equal to 0.5, then the probability of 9 consecutive losses is equal to 0.5^9 , there are approximately 0.2% of chance of having such large losing streak, note however that under a ranging market such case scenario could happen, but we will see later that the length of a losing streak is not the only problem. Other Problems Having a capital large enough to tank 9any number of consecutive losses is not the only thing one should focus on, as we have to take into account market prices and trading dynamics, that's where the ugly part start. Our first problem is frictional costs, one example being the spread, but this is a common problem for any strategy, however here a martingale is extra sensitive to it, if the strategy does not account for it then we will still double our positions costs but we might not recover all the losses of a losing streak, instead we would be recovering only a proportion of it, under such scenario you would be certain to lose over time. Another problem are gaps, market price might open under a stop-loss without triggering it, and this is a big no-no. Equity of the strategy on AMD, in a desired scenario the equity at the second arrow should have been at a higher position than the equity at the first arrow. In order for the strategy to be more effective, we would need to trade a market that does not close, such as the cryptocurrency market. Finally, we might be affected by slippage, altho only extreme values might drastically affect our balance. The Anti Martingale The strategy lets you use an anti-martingale, which double the position size after a win instead of a loss, the goal here is not to recover from a losing strike but instead to profit from a potential winning streak. Here we are exposing your balance to exponential gross but you might also lose a trade at the end a winning streak, you will generally want to reinitialize your position size after a few wins instead of waiting for the end of a streak. Alternative You can use other-kind of progressions for position sizing, such as a linear one, increasing your position size by a constant number each time you lose. More gentle progressions will recover a proportion of your losses in a losing streak. You can also simulate the effect of a martingale without doubling your position size by doubling your target profit, if for example you have a 10$ profit-target/stop-loss and lose a trade, you can use a 20$ profit target to recover from the lost trade + gain a profit of 10$. While this approach does not introduce exponential decay in your balance, you are betting on the market reaching your take profits, considering the fact that you are doubling their size you are expecting market volatility to increase drastically over time, as such this approach would not be extremely effective for high losing streak. Conclusion You will see a lot of auto-trading strategies that are based on a grid approach, they might even use a martingale. While the backtests will look appealing, you should think twice before using such kind of strategy, remember that frictional costs will be a huge challenge for the strategy, and that it assumes that the trader has an important initial capital. We have also seen that the risk/reward ratio is theoretically the worst you can have on a strategy, having a low reward and a high risk. This does not mean that progressive position sizing is bad, but it should not be pushed to the extreme. It is nice to note that the martingale is originally a betting system designed for casino games, which unlike trading are not subject to frictional costs, but even casino players don't use it, so why would you? Thx for reading
Pine Script™ stratejisi
alexgrover tarafından
14
Quadratic RegressionFit a quadratic polynomial (parabola) to the last length data points by minimizing the sum of squares between the data and the fitted results. The script can extrapolate the results in the future and can also display the R-squared of the model. Note that this script is subject to some limitations (more in the "Notes" section). Settings Length : Number of data points to use as input. Offset : Determine the number of past fitted values to be displayed, if 0 only the extrapolated values are displayed, if 55 only the past fitted values are displayed. Src : Input data of the indicator Show R2 : Determine if the value of the R-squared must be displayed, by default true. Usage When the underlying trend in the price is not linear, we might use more advanced models to estimate it, this is where using a higher-degree regression model might be required, as such a quadratic model (second-degree) is appropriate when the underlying trend is parabolic. Here we can see that the quadratic regression (in blue) offer a better fit than a linear one. Another advantage of the quadratic regression is that a linear one will always have the same direction, that's not the case with the quadratic regression and as such, it is possible to forecast reversals. Above a linear regression (in red) and two quadratic regression (in blue) with both length = 54. Note that for the sake of clarity, the above image uses a quadratic regression to show all the past fitted values and another one to show all the forecasted values. The R-Squared is also extremely useful when it comes to measuring the accuracy of the model, with values closer to 1 indicating that the model is appropriate, and thus suggesting that the underlying trend in the price is parabolic. The R-squared can also measure the strength of the trend. Notes The script uses the function line.new , as such only a maximum of 54 observations are displayed, getting more observations can be done by using an additional quadratic regression like we did in the previous section. Another thing is that line.new use xloc.bar_time , as such it is possible to observe some errors with the displayed results of the indicator, such as: This will happen when applying the indicator to symbols with session breaks, I apologize for this inconvenience and I'll try to find solutions. Note however that the indicator will work perfectly on cryptos. Summary That's an indicator I really wanted to make, even if it is important to note that such models are rarely useful in stock markets, however it is more than possible to create a quadratic regression (with severe limitations) with pinescript. Today I turn 21, while I should be celebrating I still wanted to share something with the community, it's also some kind of present to myself that tells me that I am a bit better at using pinescript than last year, and I am glad I could progress (instead of regress, regression , got it?). Thx a lot for reading!
Pine Script™ indikatörü
alexgrover tarafından
80
Spread by//Every spread & central tendency measure in 1 script with comfortable visualization, including scrips's status line. Spread measures: - Standard deviation (for most cases); - Average deviation (if there are extreme values); - GstDev - Geometric Standard Deviation (exclusively for Geometric Mean); - HstDev - Harmonic Deviation (exclusively for Harmonic Mean). These modified functions will calculate everything right, they will take source, length, AND basis of your choice, unlike the ones from TW. Central tendency measures: - Mean (if everything's cool & equal); - Median (values clustering towards low/high part of the rolling window); - Trimean (3/more distinguishable clusters of data); - Midhinhe (2 distinguishable clusters of data); - Geometric Mean ( |low.. ... ... .. .... ... . . . . . . . . . . . .high| this kinda data); <- Exp law - Harmonic Mean { |low. . . . . . . . . . . . . . .. . . .high| kinda data). <- Reciprocal law Listen: 1) Don't hesitate using Standard Deviation with non-mean, like "Midhinge Standard Devition", despite what ol' stats gurus gonna say, it works when it's appropriate; 2) Don't check log space while using Geometric Mean & Geometric Standard Deviation, these 2 implement log stuff by design, I mean unless u wanna make it double xd 3) You can use this script, modify it how you want, ask me questions whatever, just make money using it; 4) Use Midrange & Midpoints in tandem when data follows ~addition law (like this . . . . . . . . . . . . . . . . . . . . .). <- just addition law Look at the data, choose spread measure first, then choose central tendency measure, not vice versa. !!! Ain't gonna place ® sign on standard deviations like one B guy did in 1980s lmao, but if your wanna use Harmonic Deviations in science/write about/cite it/whatever, pls give me a lil credit at least, I've never seen it anywhere and unfortunately had to develop it by myself. it's useful when your data develops by reciprocals law (opposite to exponential). Peace TW
Pine Script™ indikatörü
gorx1 tarafından
19
Pre-Market Volume ProfileThis indicator displays the pre-market volume (note: without the post-market of the previous day). Unusual pre-market volume often indicates that institutional market makers are moving the market, which is a good sign for unusual high price movement. The indicator helps me to spot stocks, if a pre-market gap is confirmed with enough (unusual) volume. You can define, what "unusual" means by you, by adjusting the SMA length and the SMA multiplier. The default is a length of 21 bars and a 2.5 multiplier, meaning I'm interested in a stock, if the pre-market volume exceeds the average pre-market volume by 2.5 times.
Pine Script™ indikatörü
Clansi tarafından
26