Vpoc — Indicators and Strategies

Casa_VolumeProfileSession Library "Casa_VolumeProfileSession" Analyzes price and volume during regular trading hours to provide a session volume profile, including Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL). Calculates and displays these levels historically and for the developing session. Offers customizable visualization options for the Value Area, POC, histogram, and labels. Uses lower timeframe data for increased accuracy and supports futures sessions. The number of rows used for the volume profile can be fixed or dynamically calculated based on the session's price range and the instrument's minimum tick increment, providing optimal resolution. calculateEffectiveRows(configuredRows, dayHigh, dayLow) Determines the optimal number of rows for the volume profile, either using the configured value or calculating dynamically based on price range and tick size Parameters: configuredRows (int) : User-specified number of rows (0 means auto-calculate) dayHigh (float) : Highest price of the session dayLow (float) : Lowest price of the session Returns: The number of rows to use for the volume profile debug(vp, position) Helper function to write some information about the supplied SVP object to the screen in a table. Parameters: vp (Object) : The SVP object to debug position (string) : The position.* to place the table. Defaults to position.bottom_center getLowerTimeframe() Depending on the timeframe of the chart, determines a lower timeframe to grab volume data from for the analysis Returns: The timeframe string to fetch volume for get(volumeProfile, lowerTimeframeHigh, lowerTimeframeLow, lowerTimeframeVolume, lowerTimeframeTime, lowerTimeframeSessionIsMarket) Populated the provided SessionVolumeProfile object with vp data on the session. Parameters: volumeProfile (Object) : The SessionVolumeProfile object to populate lowerTimeframeHigh (array) : The lower timeframe high values lowerTimeframeLow (array) : The lower timeframe low values lowerTimeframeVolume (array) : The lower timeframe volume values lowerTimeframeTime (array) : The lower timeframe time values lowerTimeframeSessionIsMarket (array) : The lower timeframe session.ismarket values (that are futures-friendly) drawPriorValueAreas(todaySessionVolumeProfile, extendYesterdayOverToday, showLabels, labelSize, pocColor, pocStyle, pocWidth, vahlColor, vahlStyle, vahlWidth, vaColor) Given a SessionVolumeProfile Object, will render the historical value areas for that object. Parameters: todaySessionVolumeProfile (Object) : The SessionVolumeProfile Object to draw extendYesterdayOverToday (bool) : Defaults to true showLabels (bool) : Defaults to true labelSize (string) : Defaults to size.small pocColor (color) : Defaults to #e500a4 pocStyle (string) : Defaults to line.style_solid pocWidth (int) : Defaults to 1 vahlColor (color) : The color of the value area high/low lines. Defaults to #1592e6 vahlStyle (string) : The style of the value area high/low lines. Defaults to line.style_solid vahlWidth (int) : The width of the value area high/low lines. Defaults to 1 vaColor (color) : The color of the value area background. Defaults to #00bbf911) drawHistogram(volumeProfile, bgColor, showVolumeOnHistogram) Given a SessionVolumeProfile object, will render the histogram for that object. Parameters: volumeProfile (Object) : The SessionVolumeProfile object to draw bgColor (color) : The baseline color to use for the histogram. Defaults to #00bbf9 showVolumeOnHistogram (bool) : Show the volume amount on the histogram bars. Defaults to false. Object Object Contains all settings and calculated values for a Volume Profile Session analysis Fields: numberOfRows (series int) : Number of price levels to divide the range into. If set to 0, auto-calculates based on price range and tick size valueAreaCoverage (series int) : Percentage of total volume to include in the Value Area (default 70%) trackDevelopingVa (series bool) : Whether to calculate and display the Value Area as it develops during the session valueAreaHigh (series float) : Upper boundary of the Value Area - price level containing specified % of volume pointOfControl (series float) : Price level with the highest volume concentration valueAreaLow (series float) : Lower boundary of the Value Area startTime (series int) : Session start time in Unix timestamp format endTime (series int) : Session end time in Unix timestamp format dayHigh (series float) : Highest price of the session dayLow (series float) : Lowest price of the session step (series float) : Size of each price row (calculated as price range divided by number of rows) pointOfControlLevel (series int) : Index of the row containing the Point of Control valueAreaHighLevel (series int) : Index of the row containing the Value Area High valueAreaLowLevel (series int) : Index of the row containing the Value Area Low lastTime (series int) : Tracks the most recent timestamp processed volumeRows (map) : Stores volume data for each price level row (key=row number, value=volume) ltfSessionHighs (array) : Stores high prices from lower timeframe data ltfSessionLows (array) : Stores low prices from lower timeframe data ltfSessionVols (array) : Stores volume data from lower timeframe data

Order Blocks with Volume Heatmap & Clusters - VK Trading Order Blocks with Volume Heatmap & Clusters - VK Trading This script is designed to identify and highlight Order Blocks, a key concept in institutional trading, and combines it with powerful tools like volume heatmaps and accumulation clusters for enhanced market analysis. Suitable for traders of all experience levels, this script provides a clear and customizable visualization to help identify significant market zones effectively. What Does This Script Do? Order Block Identification: Highlights bullish and bearish order blocks directly on the chart, making it easier to spot key supply and demand zones. Volume Heatmap: A dynamic heatmap adjusts colors based on relative volume, allowing you to quickly identify areas of heightened activity. Institutional Accumulation Clusters: Zones of potential institutional accumulation are calculated using a combination of ATR (Average True Range), standardized volume, and RSI (Relative Strength Index). Automatic Clearing: Invalidated order blocks are automatically removed, ensuring your charts remain clean and focused. Key Features Customizable Sensitivity: Adjust the script’s sensitivity to tailor order block detection to different market conditions and strategies. Advanced Volume Display Options: Toggle volume visibility on or off. Customize the position, size, and color of volume labels for better integration with your chart's design. Dynamic Heatmap Intensity: Fine-tune the heatmap’s intensity and color to highlight areas of interest based on trading volume. Dual Order Block Detection: Uses two independent detection settings to analyze the market from multiple perspectives. Visual Alerts: Automatically draws key level lines based on detected order blocks for better clarity. User Benefits: Clear Market Analysis: Helps pinpoint institutional activity and key levels with minimal effort. Increased Efficiency: Automates plotting and analysis, allowing you to focus on decision-making. Versatile Compatibility: Complements strategies like Smart Money Concepts, Wyckoff, and Price Action approaches. Disclaimer This script is intended as an analytical and educational tool. It does not guarantee specific outcomes or eliminate trading risks. Use this tool at your own discretion and always practice proper risk management.

Volume Profile [TFO]This indicator generates Volume Profiles from which to display insights about recent Volume Points of Control and High Volume Nodes. Volume Profile is a way to view trading volume by the price where trades have occurred, rather than the time when they occur (as seen by traditional Volume indicators). By selecting a Resolution Timeframe (1m in this example), we can aggregate the volume at different prices to build a Volume Profile for a specified Profile Timeframe (1D in this example). In this indicator, we make the simple assumption that a given candle's volume is distributed evenly across all points. Realistically, this is seldom the case, but it gives us a starting point to easily estimate the volume at a given price, in turn helping us to build our profiles in a trivial way. If we do this for all Resolution Timeframe candles within a Profile Timeframe (all 1m candles in a single 1D candle, in this example), then we can successfully aggregate this data and build a full Volume Profile. And thankfully, Pine Script's new polyline feature ultimately allow us to keep more Volume Profiles on our charts. Before polylines, we would have to consider using lines or boxes to represent the individual levels within a given profile, and each script currently has a cap of 500 lines and boxes, respectively. However, one single polyline can be used to draw the complex shape of an entire profile, and we may show up to 100 polylines in a given script. This helps us keep a lot more data on our charts! Compared to TradingView's Session Volume Profile indicator (blue/yellow), we can see that our indicator (grey) is nearly identical, which verifies that our assumption of a uniform volume distribution is enough to roughly estimate a given Volume Profile. Note in this example the Row Size was set to 200, meaning that 200 levels are used to approximate profiles from each session's high to its low. Show VPOC will show the volume point of control of each profile, which represents the price level where the largest amount of volume was traded for a given profile. This is shown with the red lines in the following chart. Extend Last N VPOCs will look for the most recent, user-defined number of VPOCs (not including the current session's VPOC that's still developing) and extend them to the right of the chart as points of reference. The Show Labels Above option will annotate each VPOC with its respective date above a specified timeframe. This way, if one was using Volume Profiles on intraday timeframes, there wouldn't need to be several date strings all showing the same day. Show Previous HVNs will show high volume nodes from the previous session. The HVN Strength setting is similar to a "pivot strength" that I use in a lot of my scripts - essentially, HVNs are validated by treating them as local highs. With a HVN Strength of 10 for example, if a given level contains more volume than the 10 levels above and below it, then it is validated as a HVN. For a cleaner look and feel, HVNs can instead be shown as levels (lines) instead of areas (boxes). With levels enabled, solid lines denote the previous session's VPOC, and dotted lines represent all other HVNs. With areas enabled instead, the tops and bottoms will extend above/below the HVN level until a point with greater volume is discovered (marking the "end" of the node). This indicator can be computationally intensive and may crash from taking too long to execute. In these cases, it's best to disable unused features, decrease the number of Rows, and/or simply reload the chart until it populates.

Spoofing Detector with VPOC [CHE]"We're keeping an eye on the market makers, zooming in for a closer look." Spoofing and Volume Point of Control (VPOC) are terms used in the context of market manipulation and market analysis in financial markets. A spoofing detector is a tool developed to detect the spoofing of orders. Spoofing refers to a practice where a market participant places large orders to deceive other market participants and influence the price of a stock. These large orders, however, are not executed but cancelled shortly after, creating a false demand for a specific stock and influencing the price. A spoofing detector can use algorithms to detect and report these practices to maintain the integrity of the market. The Volume Point of Control (VPOC) is a concept in technical analysis aimed at identifying the key price level at which a stock was bought and sold. VPOC is calculated by analyzing the volume data of a stock and determining the price level at which the largest volume was traded for a specific period. This price level can serve as an indicator of the current market trend and market interest in a specific stock. There is a substantive connection between a spoofing detector and VPOC because both tools can be used to gain a better understanding of the stock markets and detect potential forms of market manipulation. For example, VPOC can be used as an indicator of potential market manipulation when an abnormal distribution of trading volume is observed at a specific price level. A spoofing detector can then be used to detect and report these activities. Pine Script Indicator Analysis: This is a Pine Script code for a spoofing detector and volume point of control (VPOC) indicator. The purpose of the indicator is to detect and highlight potential spoofing activities in the market, as well as to plot the volume point of control on the chart. Inputs: Median Lookback: This input defines the length of the median calculation, with a default value of 25. Range To Edges Threshold: This input sets a threshold value for the range to edges calculation, with a default value of 200. Multiplier 1: This input sets a multiplier value to be used in the average true range calculation, with a default value of 0.8. Multipler 2: This input sets a multiplier value to be used in the average true range calculation, with a default value of 2.0. Multipler 3: This input sets a multiplier value to be used in the average true range calculation, with a default value of 3.0. Variables: y, x, ds, os: These are arrays and a variable used for the first part of the spoofing detection process. y1, x1, ds1, os1: These are arrays and a variable used for the second part of the spoofing detection process. y2, x2, ds2, os2: These are arrays and a variable used for the third part of the spoofing detection process. Calculation: The code starts by defining some variables, such as the bar index (n), the close price (src), and the average true range (atr) with different multipliers. Next, the median of the close price is calculated over the lookback period specified by the "Median Lookback" input. Then, the difference between the current median and the previous median is calculated, and the value is compared with the average true range with different multipliers to determine the state of the market (up, down, or unchanged). The code then checks if the state has changed from the previous bar, and if so, the code performs a spoofing detection calculation. The spoofing detection calculation involves determining the range between the first and last bar in the median calculation, and dividing it by the sum of the absolute differences calculated earlier. If the result is below the "Range To Edges Threshold" input, the code plots a line and a label on the chart indicating a potential spoofing activity. The process is repeated for each of the three parts of the spoofing detection process. VPOC: The VPOC code is used to calculate the Volume Point of Control (VPOC) on a chart. The VPOC is the price level with the highest volume over a specified lookback period. The script contains several functions and inputs that allow the user to customize the calculation. Inputs: i_source: This input allows the user to specify the source for the VPOC price calculation. The options are the close price of the bar. i_vpocThreshold: This input allows the user to set the threshold percentage for the VPOC highlight. Functions: timeStep_translate(): This function returns a string representing the time step of the lower time frame based on the current time frame of the chart. ltfStats(): This function returns an array of the source and volume of the lower time frame. ltfSrc, ltfVolume: This line requests the lower time frame data using the request.security_lower_tf function, with the lower time frame step calculated by the timeStep_translate() function. maxVolume and indexOfMaxVolume: These variables store the maximum volume value and its corresponding index in the ltfVolume array. maxVol: This variable stores the source value corresponding to the maximum volume. vpocThresholdMet: This variable is a boolean that is true when the volume at the maximum volume price level is greater than or equal to the threshold percentage of the total volume. vpocColor: This variable stores the color for the VPOC plot. vh: This variable stores the highest volume in the lookback period. plotshape(): This function plots the VPOC on the chart. The shape will be plotted only if the volume is greater than the specified threshold percentage of the highest volume in the lookback period. The shape will be labeled with the text "VC". Overall, this script calculates the VPOC for a chart by aggregating volume data from a lower time frame and plotting a shape at the price level with the highest volume. The user can specify the source for the VPOC calculation and the threshold percentage for the VPOC highlight. Important: VPOC shows everything in real time as a leading indicator, the triple spoofing detector is trailing Best regards Chervolino

Volume and vPOC Insights The vPOC or volume point of control shows where most of the volume was traded. This is important because this is where the institutions and market makers have opened their positions, and these are the ones that move the markets! This indicator is designed to cut through the volume noise, and enable the hiding of lower volume data. The main setting allows you to define a lookback, and obscure the candles whose volume is less than x % of the highest volume in this lookback. Of the remaining candles, their vPOC will be displayed. There are extra settings to extend naked vPOCs, as well as the highs and lows of these high volume candles, plus an EMA based on the vPOC price levels. I must credit quantifytools @quantifytools who allowed me to utilize his code, for finding vPOCs using lower timeframe candles - there are comments in the code also. It works perfectly so why reinvent the wheel?

Time & volume point of control / quantifytools What are TPOC & VPOC? TPOC (time point of control) and VPOC (volume point of control) are points in price where highest amount of time/volume was traded. This is considered key information in a market profile, as it shows where market participant interest was highest. Unlike full fledged market profile that shows total time/volume distribution, this script shows the points of control for each candle, plotted with a line (time) and a dot (volume). The script hides your candles/bars by default and forms a line in the middle representing candle range. In case of candles, borders will still be visible. This feature can be turned off in the settings. Volume and time data are fetched from a lower timeframe that is automatically adjusted to fit the timeframe you're using. By default, the following settings are applied: Charts <= 30 min: 1 minute timeframe Charts > 30 min & <= 3 hours : 5 minute timeframe Charts > 3 hours & <= 8 hours : 15 minute timeframe Charts > 8 hours & <= 1D: 1 hour timeframe Charts > 1D & <= 3D : 2 hour timeframe Charts > 3D: 4 hour timeframe Timeframe settings can be changed via input menu. The lower the timeframe, the more precision you get but with the cost of less historical data and slower loading time. Users can also choose which source to use for determining price for points of control, e.g. using close as source, the point of control is set to match the value of lower timeframe candle close. This could be replaced with OHLC4 for example, resulting in a point of control based on OHLC average. To identify more profound points of market participant interest, TPOC & VPOC as percentage of total time/volume thresholds can be set via input menu. When a point of control is equal to or greater than the set percentage threshold, visual elements will be highlighted in a different color, e.g. 50% VPOC threshold will activate a highlight whenever volume traded at VPOC is equal to or greater than 50% of total volume. All colors are customizable. VPOC is defined by fetching lower timeframe candle with the most amount of volume traded and using its close (by default) as a mark for point of control. For TPOC, each candle is divided into 10 lots which are used for calculating amount of closes taking place within the bracket values. The lot with highest amount of closes will be considered a point of control. This mark is displayed in the middle point of a lot: How to utilize TPOC & VPOC Example #1: Trapped market participants One or both points of control at one end of candle range (wick tail) and candle close at the other end serves as an indication of market participants trapped in an awkward position. When price runs away further from these trapped participants, they are eventually forced to cover and drive price even further to the opposite direction: Example #2: Trend initiation A large move that leaves TPOC behind while VPOC is supportive serves as an indication of a trend initiation. Essentially, this is one way to identify an event where price traded sideways most of the time and suddenly moved away with volume: Example #3: POC supported trend A trend is healthy when it's supported by a point of control. Ideally you want to see either time or volume supporting a trend:

VPoC per bar This study prints the current bar VPoC as an horizontal line. It's aimed originally at BTCUSDT pair and 15m timeframe. HOW IT WORKS Zoom In mode: This is the default mode. The study zooms in into the latest 15 1-minute bar candles in order to calculate the 15 minute candle VPoC. Zoom Out mode: The VPoC from the last n bars from the current timeframe that match desired timeframe is shown on each bar. In either case you are recommended to click on the '...' button associated to this study and select 'Visual Order. Bring to Front.' so that it's properly shown in your chart. HOW IT WORKS - Zoom In mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to true. Choose the zoomed in timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting. Change '(VP) Zoomed in timeframe bars per current timeframe bar {15}' to its appropiated value. You just need to divide the current timeframe minutes per the zoomed in timeframe minutes per bar. E.g. If you are in 60 minute timeframe and you want to zoom in into 5 minute timeframe: 60 / 5 = 12 . You will write 12 here. HOW IT WORKS - Zoom Out mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to false. If you are using the Zoom out mode you might want to set '(VP) Print VPoC price as discrete lines {True}' to false. Either choose the zoommed out timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting or turn on the '(VP) Use number of bars (not VP timeframe)' setting in order to use '(VP) Number of bars {100}' as a custom number of bars. WARNING - Zoom In mode last bar The way that PineScript handles security function in last bar might result on the last bar not being accurate enough. SETTINGS __ SETTINGS - Volume Profile (VP) Zoomed timeframe {1 minute}: Timeframe in which to zoom in or zoom out to calculate an accurate VPoC for the current timeframe. (VP) Zoomed in timeframe bars per current timeframe bar {15}: Check 'HOW IT WORKS - Zoom In mode' above. Note : It is only used in 'Zoom in' mode. (VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Price levels {24}: Price levels for calculating VPoC. __ SETTINGS - MAIN TURN ON/OFF OPTIONS (VP) Print VPoC price {True}: Show VPoC price (VP) Zoom into the VP timeframe: When set to true the VPoC is calculated by zooming into the lower timeframe. When set to false a higher timeframe (or number of bars) is used. (VP) Realtime Zoom in (Beta): Enable real time zoom for the last bar. It's beta because it would only work with zoomed in timeframe under 60 minutes. And when ratio between zoomout and zoomin is less than 60. Note : It is only used in 'Zoom in' mode. (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. __ SETTINGS - EXTRA (VP) VPoC color: Change the VPoC color (VP) VPoC line width {1}: Change VPoC line width (in pixels). (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. CREDITS I have reused and adapted some code from "Poor man's volume profile" study which it's from TradingView IldarAkhmetgaleev user.

Ruckard TradingLatino This strategy tries to mimic TradingLatino strategy. The current implementation is beta. Si hablas castellano o espanyol por favor consulta MENSAJE EN CASTELLANO más abajo. It's aimed at BTCUSDT pair and 4h timeframe. STRATEGY DEFAULT SETTINGS EXPLANATION max_bars_back=5000 : This is a random number of bars so that the strategy test lasts for one or two years calc_on_order_fills=false : To wait for the 4h closing is too much. Try to check if it's worth entering a position after closing one. I finally decided not to recheck if it's worth entering after an order is closed. So it is false. calc_on_every_tick=false pyramiding=0 : We only want one entry allowed in the same direction. And we don't want the order to scale by error. initial_capital=1000 : These are 1000 USDT. By using 1% maximum loss per trade and 7% as a default stop loss by using 1000 USDT at 12000 USDT per BTC price you would entry with around 142 USDT which are converted into: 0.010 BTC . The maximum number of decimal for contracts on this BTCUSDT market is 3 decimals. E.g. the minimum might be: 0.001 BTC . So, this minimal 1000 amount ensures us not to entry with less than 0.001 entries which might have happened when using 100 USDT as an initial capital. slippage=1 : Binance BTCUSDT mintick is: 0.01. Binance slippage: 0.1 % (Let's assume). TV has an integer slippage. It does not have a percentage based slippage. If we assume a 1000 initial capital, the recommended equity is 142 which at 11996 USDT per BTC price means: 0.011 BTC. The 0.1% slippage of: 0.011 BTC would be: 0.000011 . This is way smaller than the mintick. So our slippage is going to be 1. E.g. 1 (slippage) * 0.01 (mintick) commission_type=strategy.commission.percent and commission_value=0.1 : According to: binance . com / en / fee / schedule in VIP 0 level both maker and taker fees are: 0.1 %. BACKGROUND Jaime Merino is a well known Youtuber focused on crypto trading His channel TradingLatino features monday to friday videos where he explains his strategy. JAIME MERINO STANCE ON BOTS Jaime Merino stance on bots (taken from memory out of a 2020 June video from him): '~ You know. They can program you a bot and it might work. But, there are some special situations that the bot would not be able to handle. And, I, as a human, I would handle it. And the bot wouldn't do it. ~' My long term target with this strategy script is add as many special situations as I can to the script so that it can match Jaime Merino behaviour even in non normal circumstances. My alternate target is learn Pine script and enjoy programming with it. WARNING This script might be bigger than other TradingView scripts. However, please, do not be confused because the current status is beta. This script has not been tested with real money. This is NOT an official strategy from Jaime Merino. This is NOT an official strategy from TradingLatino . net . HOW IT WORKS It basically uses ADX slope and LazyBear's Squeeze Momentum Indicator to make its buy and sell decisions. Fast paced EMA being bigger than slow paced EMA (on higher timeframe) advices going long. Fast paced EMA being smaller than slow paced EMA (on higher timeframe) advices going short. It finally add many substrats that TradingLatino uses. SETTINGS __ SETTINGS - Basics ____ SETTINGS - Basics - ADX (ADX) Smoothing {14} (ADX) DI Length {14} (ADX) key level {23} ____ SETTINGS - Basics - LazyBear Squeeze Momentum (SQZMOM) BB Length {20} (SQZMOM) BB MultFactor {2.0} (SQZMOM) KC Length {20} (SQZMOM) KC MultFactor {1.5} (SQZMOM) Use TrueRange (KC) {True} ____ SETTINGS - Basics - EMAs (EMAS) EMA10 - Length {10} (EMAS) EMA10 - Source {close} (EMAS) EMA55 - Length {55} (EMAS) EMA55 - Source {close} ____ SETTINGS - Volume Profile Lowest and highest VPoC from last three days is used to know if an entry has a support VPVR of last 100 4h bars is also taken into account (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC (VP) Show tick difference from current price {False}: BETA . Might be useful for actions some day. (VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. (VP) Volume Profile timeframe {1 day}: If 'Use number of bars (not VP timeframe)' is turned off this setting is used to calculate session VPoC. (VP) Row width multiplier {0.6}: Adjust how the extra Volume Profile bars are shown in the chart. (VP) Resistances prices number of decimal digits : Round Volume Profile bars label numbers so that they don't have so many decimals. (VP) Number of bars for bottom VPOC {18}: 18 bars equals 3 days in suggested timeframe of 4 hours. It's used to calculate lowest session VPoC from previous three days. It's also used as a top VPOC for sells. (VP) Ignore VPOC bottom advice on long {False}: If turned on it ignores bottom VPOC (or top VPOC on sells) when evaluating if a buy entry is worth it. (VP) Number of bars for VPVR VPOC {100}: Number of bars to calculate the VPVR VPoC. We use 100 as Jaime once used. When the price bounces back to the EMA55 it might just bounce to this VPVR VPoC if its price it's lower than the EMA55 (Sells have inverse algorithm). ____ SETTINGS - ADX Slope ADX Slope help us to understand if ADX has a positive slope, negative slope or it is rather still. (ADXSLOPE) ADX cut {23}: If ADX value is greater than this cut (23) then ADX has strength (ADXSLOPE) ADX minimum steepness entry {45}: ADX slope needs to be 45 degrees to be considered as a positive one. (ADXSLOPE) ADX minimum steepness exit {45}: ADX slope needs to be -45 degrees to be considered as a negative one. (ADXSLOPE) ADX steepness periods {3}: In order to avoid false detection the slope is calculated along 3 periods. ____ SETTINGS - Next to EMA55 (NEXTEMA55) EMA10 to EMA55 bounce back percentage {80}: EMA10 might bounce back to EMA55 or maybe to 80% of its complete way to EMA55 (NEXTEMA55) Next to EMA55 percentage {15}: How much next to the EMA55 you need to be to consider it's going to bounce back upwards again. ____ SETTINGS - Stop Loss and Take Profit You can set a default stop loss or a default take profit. (STOPTAKE) Stop Loss % {7.0} (STOPTAKE) Take Profit % {2.0} ____ SETTINGS - Trailing Take Profit You can customize the default trailing take profit values (TRAILING) Trailing Take Profit (%) {1.0}: Trailing take profit offset in percentage (TRAILING) Trailing Take Profit Trigger (%) {2.0}: When 2.0% of benefit is reached then activate the trailing take profit. ____ SETTINGS - MAIN TURN ON/OFF OPTIONS (EMAS) Ignore advice based on emas {false}. (EMAS) Ignore advice based on emas (On closing long signal) {False}: Ignore advice based on emas but only when deciding to close a buy entry. (SQZMOM) Ignore advice based on SQZMOM {false}: Ignores advice based on SQZMOM indicator. (ADXSLOPE) Ignore advice based on ADX positive slope {false} (ADXSLOPE) Ignore advice based on ADX cut (23) {true} (STOPTAKE) Take Profit? {false}: Enables simple Take Profit. (STOPTAKE) Stop Loss? {True}: Enables simple Stop Loss. (TRAILING) Enable Trailing Take Profit (%) {True}: Enables Trailing Take Profit. ____ SETTINGS - Strategy mode (STRAT) Type Strategy: 'Long and Short', 'Long Only' or 'Short Only'. Default: 'Long and Short'. ____ SETTINGS - Risk Management (RISKM) Risk Management Type: 'Safe', 'Somewhat safe compound' or 'Unsafe compound'. ' Safe ': Calculations are always done with the initial capital (1000) in mind. The maximum losses per trade/day/week/month are taken into account. ' Somewhat safe compound ': Calculations are done with initial capital (1000) or a higher capital if it increases. The maximum losses per trade/day/week/month are taken into account. ' Unsafe compound ': In each order all the current capital is gambled and only the default stop loss per order is taken into account. That means that the maximum losses per trade/day/week/month are not taken into account. Default : 'Somewhat safe compound'. (RISKM) Maximum loss per trade % {1.0}. (RISKM) Maximum loss per day % {6.0}. (RISKM) Maximum loss per week % {8.0}. (RISKM) Maximum loss per month % {10.0}. ____ SETTINGS - Decimals (DECIMAL) Maximum number of decimal for contracts {3}: How small (3 decimals means 0.001) an entry position might be in your exchange. EXTRA 1 - PRICE IS IN RANGE indicator (PRANGE) Print price is in range {False}: Enable a bottom label that indicates if the price is in range or not. (PRANGE) Price range periods {5}: How many previous periods are used to calculate the medians (PRANGE) Price range maximum desviation (%) {0.6} ( > 0 ): Maximum positive desviation for range detection (PRANGE) Price range minimum desviation (%) {0.6} ( > 0 ): Mininum negative desviation for range detection EXTRA 2 - SQUEEZE MOMENTUM Desviation indicator (SQZDIVER) Show degrees {False}: Show degrees of each Squeeze Momentum Divergence lines to the x-axis. (SQZDIVER) Show desviation labels {False}: Whether to show or not desviation labels for the Squeeze Momentum Divergences. (SQZDIVER) Show desviation lines {False}: Whether to show or not desviation lines for the Squeeze Momentum Divergences. EXTRA 3 - VOLUME PROFILE indicator WARNING: This indicator works not on current bar but on previous bar. So in the worst case it might be VP from 4 hours ago. Don't worry, inside the strategy calculus the correct values are used. It's just that I cannot show the most recent one in the chart. (VP) Print recent profile {False}: Show Volume Profile indicator (VP) Avoid label price overlaps {False}: Avoid label prices to overlap on the chart. EXTRA 4 - ZIGNALY SUPPORT (ZIG) Zignaly Alert Type {Email}: 'Email', 'Webhook'. ' Email ': Prepare alert_message variable content to be compatible with zignaly expected email content format. ' Webhook ': Prepare alert_message variable content to be compatible with zignaly expected json content format. EXTRA 5 - DEBUG (DEBUG) Enable debug on order comments {False}: If set to true it prepares the order message to match the alert_message variable. It makes easier to debug what would have been sent by email or webhook on each of the times an order is triggered. HOW TO USE THIS STRATEGY BOT MODE: This is the default setting. PROPER VOLUME PROFILE VIEWING: Click on this strategy settings. Properties tab. Make sure Recalculate 'each time the order was run' is turned off. NEWBIE USER: (Check PROPER VOLUME PROFILE VIEWING above!) You might want to turn on the 'Print recent profile {False}' setting. Alternatively you can use my alternate realtime study: 'Resistances and supports based on simplified Volume Profile' but, be aware, it might consume one indicator. ADVANCED USER 1: Turn on the 'Print price is in range {False}' setting and help us to debug this subindicator. Also help us to figure out how to include this value in the strategy. ADVANCED USER 2: Turn on the all the (SQZDIVER) settings and help us to figure out how to include this value in the strategy. ADVANCED USER 3: (Check PROPER VOLUME PROFILE VIEWING above!) Turn on the 'Print recent profile {False}' setting and report any problem with it. JAIME MERINO: Just use the indicator as it comes by default. It should only show BUY signals, SELL signals and their associated closing signals. From time to time you might want to check 'ADVANCED USER 2' instructions to check that there's actually a divergence. Check also 'ADVANCED USER 1' instructions for your amusement. EXTRA ADVICE It's advised that you use this strategy in addition to these two other indicators: * Squeeze Momentum Indicator * ADX so that your chart matches as close as possible to TradingLatino chart. ZIGNALY INTEGRATION This strategy supports Zignaly email integration by default. It also supports Zignaly Webhook integration. ZIGNALY INTEGRATION - Email integration example What you would write in your alert message: ||{{strategy.order.alert_message}}||key=MYSECRETKEY|| ZIGNALY INTEGRATION - Webhook integration example What you would write in your alert message: { {{strategy.order.alert_message}} , "key" : "MYSECRETKEY" } CREDITS I have reused and adapted some code from 'Directional Movement Index + ADX & Keylevel Support' study which it's from TradingView console user. I have reused and adapted some code from '3ema' study which it's from TradingView hunganhnguyen1193 user. I have reused and adapted some code from 'Squeeze Momentum Indicator ' study which it's from TradingView LazyBear user. I have reused and adapted some code from 'Strategy Tester EMA-SMA-RSI-MACD' study which it's from TradingView fikira user. I have reused and adapted some code from 'Support Resistance MTF' study which it's from TradingView LonesomeTheBlue user. I have reused and adapted some code from 'TF Segmented Linear Regression' study which it's from TradingView alexgrover user. I have reused and adapted some code from "Poor man's volume profile" study which it's from TradingView IldarAkhmetgaleev user. FEEDBACK Please check the strategy source code for more detailed information where, among others, I explain all of the substrats and if they are implemented or not. Q1. Did I understand wrong any of the Jaime substrats (which I have implemented)? Q2. The strategy yields quite profit when we should long (EMA10 from 1d timeframe is higher than EMA55 from 1d timeframe. Why the strategy yields much less profit when we should short (EMA10 from 1d timeframe is lower than EMA55 from 1d timeframe)? Any idea if you need to do something else rather than just reverse what Jaime does when longing? FREQUENTLY ASKED QUESTIONS FAQ1. Why are you giving this strategy for free? TradingLatino and his fellow enthusiasts taught me this strategy. Now I'm giving back to them. FAQ2. Seriously! Why are you giving this strategy for free? I'm confident his strategy might be improved a lot. By keeping it to myself I would avoid other people contributions to improve it. Now that everyone can contribute this is a win-win. FAQ3. How can I connect this strategy to my Exchange account? It seems that you can attach alerts to strategies. You might want to combine it with a paying account which enable Webhook URLs to work. I don't know how all of this works right now so I cannot give you advice on it. You will have to do your own research on this subject. But, be careful. Automating trades, if not done properly, might end on you automating losses. FAQ4. I have just found that this strategy by default gives more than 3.97% of 'maximum series of losses'. That's unacceptable according to my risk management policy. You might want to reduce default stop loss setting from 7% to something like 5% till you are ok with the 'maximum series of losses'. FAQ5. Where can I learn more about your work on this strategy? Check the source code. You might find unused strategies. Either because there's not a substantial increases on earnings. Or maybe because they have not been implemented yet. FAQ6. How much leverage is applied in this strategy? No leverage. FAQ7. Any difference with original Jaime Merino strategy? Most of the times Jaime defines an stop loss at the price entry. That's not the case here. The default stop loss is 7% (but, don't be confused it only means losing 1% of your investment thanks to risk management). There's also a trailing take profit that triggers at 2% profit with a 1% trailing. FAQ8. Why this strategy return is so small? The strategy should be improved a lot. And, well, backtesting in this platform is not guaranteed to return theoric results comparable to real-life returns. That's why I'm personally forward testing this strategy to verify it. MENSAJE EN CASTELLANO En primer lugar se agradece feedback para mejorar la estrategia. Si eres un usuario avanzado y quieres colaborar en mejorar el script no dudes en comentar abajo. Ten en cuenta que aunque toda esta descripción tenga que estar en inglés no es obligatorio que el comentario esté en inglés. CHISTE - CASTELLANO ¡Pero Jaime! ¡400.000! ¡Tu da mun!

Historic VPoCs and pseudo VPVR This study tries to recreate session based historic VPoCs and VPVR Volume Profile as they are used by TradingLatino TradingView user. It's aimed at BTCUSDT pair and 4h timeframe. HOW IT WORKS HOW IT WORKS - VPVR Profile Block It gathers volume from the last chosen Bars in order to draw the vpvr profile block Volume that intersects with current level range being studied is added to its value. Additionally the current level price is modified so that it matches the level price where most of the volume has concentrated So you get a pretty accurate price for drawn volume while at the same time the levels are not stuck to arbitrary level prices. HOW IT WORKS - VPoC It calculates a Volume Profile for the given historic session but then it only outputs that Volume Profile VPoC. SETTINGS Show VPVR Volume Profile {True}. Show Historic VPoC lines {True}. Show Historic VPoC labels {True}. Extend Historic VPoC lines {True}: If this option is turned off the VPoC lines are only shown during the session duration. Show tick difference from current price {False}: BETA. Feedback is needed because I'm not sure how it should work this setting. VPVR Number of bars {100}: Define the Visible Range in number of bars so that its Volume Profile can be shown. VPVR Profile width (in bars) {15}: VPVR Profile can be make larger or smaller in width thanks to this option. VPVR Profile offset (in bars) {15}: VPVR Profile can be shown more to the left or to the right if the defaults do not suit you. Historic Session Volume Profile timeframe {1D}: Historic VPoC use 1 day as their timeframe reference by default. Number of decimal digits {2}: How many decimal digits are shown in label prices. Number of previous sessions to print VPoC {5}: How many previous sessions VPoCs are to be printed. The maximum for this setting is 20. Historic VPoC lines width (in pixels) {2}. Historic VPoC labels size {small}. History VPoC line offset (in bars) {5}: How far to the right VPoCs lines are to be extended. Note: This setting does not apply when 'Extend Historic VPoC lines' is set to 'False'. WARNING Please be aware that VPoC from the first previous session might not be accurate due to Pine Script limitations. VPVR USAGE This is not a VPVR like the official TradingView indicator. This is a pseudo VPVR and that means it needs some manual input from you. But, don't worry it's quite easy to do and if you always use the same number of bars to calculate your VPVR then you might even just set it up once. In order to show the VPVR (or Volume Profile on the Visible Range): Rescale your chart so that you see all the bars for your Visible Range. Click on the ruler tool. Click on the last bar (far to the right) shown on the screen Drag the ruler to first bar (far to the left) shown on the screen Check what the ruler says E.g. it says: 101 bars Open this study settings Modify: 'VPVR Number of bars ' setting So that its value matches your measured number of bars (101) Press OK to confirm and wait for the indicator to refresh. STRATEGY USAGE If your strategy uses VPoC to define your resistances or supports you can check the VPoCs shown here. FEEDBACK I have only used this identifier in BTCUSDT 4h timeframe. I'm interested to know what needs to be tweaked in other securities and timeframes. PINE STUDY TRICK This study let's you choose the number of decimals the label will use. CREDITS I have reused and adapted some code from 'Poor man's volume profile' study which it's from TradingView IldarAkhmetgaleev user. I also wanted to thank him for helping me understanding his study. I have reused some code from 'MTF Selection Framework - PineCoders FAQ' study which it's from TradingView PineCoders user.

Resistances and supports based on simplified Volume Profile This study tries to highlight support and resistances as they are defined by TradingLatino TradingView user His definition is based on volume peaks on the official TradingView Volume Profile indicator that seem rather big on size. As a bonus it also serves as a rather simple volume profile indicator. As you can see it only show last blocks volume profile. It's aimed at BTCUSDT pair and 4h timeframe. HOW IT WORKS HOW IT WORKS - Recent Profile Block It gathers volume from the last 100 Bars in order to draw the recent profile block Volume that intersects with current level range being studied is added to its value. Additionally the current level price is modified so that it matches the level price where most of the volume has concentrated So you get a pretty accurate way of the volume while at the same time the level are not stuck to arbitrary level prices. HOW IT WORKS - Resistances and Supports It calculates the level which its price it's nearer (from below) to the current price level Resistance is found steping up (from current prive level) level by level till you find a level which its value is higher than the previous level value. Support is found steping down (from current prive level) level by level till you find a level which its value is higher than the previous level value. That way you ignore rather small resistances and support values. Finally the resistances and supports are drawn next to the recent profile block so that you can look at them with ease. If you hover over the label you can double check if you are looking at current price, resistance or support levels. SETTINGS Bars in recent profile block : How many previous period volumes are used to calculate the recent profile block Row width multiplier : Adjust how big the recent profile block seems to be Resistances prices number of decimal digits : How many digits is shown at the resistance and support level prices. WARNING Please be aware that depending on your security and timeframe you might need to modify the 'Bars in recent profile block' setting so that the study does not timeout. USAGE If your strategy calculates take profit limits on higher resistances based on volume you could use this indicator resistance detector FEEDBACK 1 This is my first volume indicator. I suppose that each trader has his own approach on defining resistances and supports. I'm interested on knowing if the default way this resistances and supports are calculated matches what other traders would have highlighted manually on the chart. FEEDBACK 2 I have only used this identifier in BTCUSDT 4h timeframe. I'm interested to know what needs to be tweaked in other securities and timeframes. PINE STUDY TRICK This study let's you choose the number of decimals the label will use. CREDITS I have reused and adapted some code from 'Poor man's volume profile' study which it's from TradingView IldarAkhmetgaleev user. I also wanted to thank him for helping me understanding his study.