Variable

Watermark with dynamic variables [BM]█ OVERVIEW This indicator allows users to add highly customizable watermark messages to their charts. Perfect for branding, annotation, or displaying dynamic chart information, this script offers advanced customization options including dynamic variables, text formatting, and flexible positioning. █ CONCEPTS Watermarks are overlay messages on charts. This script introduces placeholders — special keywords wrapped in % signs — that dynamically replace themselves with chart-related data. These watermarks can enhance charts with context, timestamps, or branding. █ FEATURES Dynamic Variables : Replace placeholders with real-time data such as bar index, timestamps, and more. Advanced Customization : Modify text size, color, background, and alignment. Multiple Messages : Add up to four independent messages per group, with two groups supported (A and B). Positioning Options : Place watermarks anywhere on the chart using predefined locations. Timezone Support : Display timestamps in a preferred timezone with customizable formats. █ INPUTS The script offers comprehensive input options for customization. Each Watermark (A and B) contains identical inputs for configuration. Watermark settings are divided into two levels: Watermark-Level Settings These settings apply to the entire watermark group (A/B): Show Watermark: Toggle the visibility of the watermark group on the chart. Position: Choose where the watermark group is displayed on the chart. Reverse Line Order: Enable to reverse the order of the lines displayed in Watermark A. Message-Level Settings Each watermark contains up to four configurable messages. These messages can be independently customized with the following options: Message Content: Enter the custom text to be displayed. You can include placeholders for dynamic data. Text Size: Select from predefined sizes (Tiny, Small, Normal, Large, Huge) or specify a custom size. Text Alignment and Colors: - Adjust the alignment of the text (Left, Center, Right). - Set text and background colors for better visibility. Format Time: Enable time formatting for this watermark message and configure the format and timezone. The settings for each message include message content, text size, alignment, and more. Please refer to Formatting dates and times for more details on valid formatting tokens. █ PLACEHOLDERS Placeholders are special keywords surrounded by % signs, which the script dynamically replaces with specific chart-related data. These placeholders allow users to insert dynamic content, such as bar information or timestamps, into watermark messages. Below is the complete list of currently available placeholders: bar_index , barstate.isconfirmed , barstate.isfirst , barstate.ishistory , barstate.islast , barstate.islastconfirmedhistory , barstate.isnew , barstate.isrealtime , chart.is_heikinashi , chart.is_kagi , chart.is_linebreak , chart.is_pnf , chart.is_range , chart.is_renko , chart.is_standard , chart.left_visible_bar_time , chart.right_visible_bar_time , close , dayofmonth , dayofweek , dividends.future_amount , dividends.future_ex_date , dividends.future_pay_date , earnings.future_eps , earnings.future_period_end_time , earnings.future_revenue , earnings.future_time , high , hl2 , hlc3 , hlcc4 , hour , last_bar_index , last_bar_time , low , minute , month , ohlc4 , open , second , session.isfirstbar , session.isfirstbar_regular , session.islastbar , session.islastbar_regular , session.ismarket , session.ispostmarket , session.ispremarket , syminfo.basecurrency , syminfo.country , syminfo.currency , syminfo.description , syminfo.employees , syminfo.expiration_date , syminfo.industry , syminfo.main_tickerid , syminfo.mincontract , syminfo.minmove , syminfo.mintick , syminfo.pointvalue , syminfo.prefix , syminfo.pricescale , syminfo.recommendations_buy , syminfo.recommendations_buy_strong , syminfo.recommendations_date , syminfo.recommendations_hold , syminfo.recommendations_sell , syminfo.recommendations_sell_strong , syminfo.recommendations_total , syminfo.root , syminfo.sector , syminfo.session , syminfo.shareholders , syminfo.shares_outstanding_float , syminfo.shares_outstanding_total , syminfo.target_price_average , syminfo.target_price_date , syminfo.target_price_estimates , syminfo.target_price_high , syminfo.target_price_low , syminfo.target_price_median , syminfo.ticker , syminfo.tickerid , syminfo.timezone , syminfo.type , syminfo.volumetype , ta.accdist , ta.iii , ta.nvi , ta.obv , ta.pvi , ta.pvt , ta.tr , ta.vwap , ta.wad , ta.wvad , time , time_close , time_tradingday , timeframe.isdaily , timeframe.isdwm , timeframe.isintraday , timeframe.isminutes , timeframe.ismonthly , timeframe.isseconds , timeframe.isticks , timeframe.isweekly , timeframe.main_period , timeframe.multiplier , timeframe.period , timenow , volume , weekofyear , year █ HOW TO USE 1 — Add the Script: Apply "Watermark with dynamic variables " to your chart from the PulseWire platform. 2 — Configure Inputs: Open the script settings by clicking the gear icon next to the script's name. Customize visibility, message content, and appearance for Watermark A and Watermark B. 3 — Utilize Placeholders: Add placeholders like %bar_index% or %timenow% in the "Watermark - Message" fields to display dynamic data. Empty lines in the message box are reflected on the chart, allowing you to shift text up or down. Using in the message box translates to a new line on the chart. 4 — Preview Changes: Adjust settings and view updates in real-time on your chart. █ EXAMPLES Branding DodgyDD's charts Debugging █ LIMITATIONS Only supports variables defined within the script. Limited to four messages per watermark. Visual alignment may vary across different chart resolutions or zoom levels. Placeholder parsing relies on correct input formatting. █ NOTES This script is designed for users seeking enhanced chart annotation capabilities. It provides tools for dynamic, customizable watermarks but is not a replacement for chart objects like text labels or drawings. Please ensure placeholders are properly formatted for correct parsing. Additionally, this script can be a valuable tool for Pine Script developers during debugging . By utilizing dynamic placeholders, developers can display real-time values of variables and chart data directly on their charts, enabling easier troubleshooting and code validation.

Indicator

string_utils Library "string_utils" Collection of string utilities that can be used to replace sub-strings in a string and string functions that are not part of the standard library. This a more simple replacement of my previous string_variables library since it uses types for better performance due to data locality and methods that give a more intuitive API.

Library

TurntLibrary Library "TurntLibrary" Collection of functions created for simplification/easy referencing. Includes variations of moving averages, length value oscillators, and a few other simple functions based upon HH/LL values. ma(source, length, type) Apply a moving average to a float value Parameters: source : Value to be used length : Number of bars to include in calculation type : Moving average type to use ("SMA","EMA","RMA","WMA","VWAP","SWMA","LRC") Returns: Smoothed value of initial float value curve(src, len, lb1, lb2) Exaggerates curves of a float value designed for use as an exit signal. Parameters: src : Initial value to curve len : Number of bars to include in calculation lb1 : (Default = 1) First lookback length lb2 : (Default = 2) Second lookback length Returns: Curved Average fragma(src, len, space, str) Average of a moving average and the previous value of the moving average Parameters: src : Initial float value to use len : Number of bars to include in calculation space : Lookback integer for second half of average str : Moving average type to use ("SMA","EMA","RMA","WMA","VWAP","SWMA","LRC") Returns: Fragmented Average maxmin(x, y) Difference of 2 float values, subtracting the lowest from the highest Parameters: x : Value 1 y : Value 2 Returns: The +Difference between 2 float values oscLen(val, type) Variable Length using a oscillator value and a corresponding slope shape ("Incline",Decline","Peak","Trough") Parameters: val : Oscillator Value to use type : Slope of length curve ("Incline",Decline","Peak","Trough") Returns: Variable Length Integer hlAverage(val, smooth, max, min, type, include) Average of HH,LL with variable lengths based on the slope shape ("Incline","Decline","Trough") value relative to highest and lowest Parameters: val : Source Value to use smooth max min type include : Add "val" to the averaging process, instead of more weight to highest or lowest value Returns: Variable Length Average of Highest Lowest "val" pct(val) Convert a positive float / price to a percentage of it's highest value on record Parameters: val : Value To convert to a percentage of it's highest value ever Returns: Percentage hlrange(x, len) Difference between Highest High and Lowest Low of float value Parameters: x : Value to use in calculation len : Number of bars to include in calculation Returns: Difference midpoint(x, len, smooth) The average value of the float's Highest High and Lowest Low in a number of bars Parameters: x : Value to use in calculation len smooth : (Default=na) Optional smoothing type to use ("SMA","EMA","RMA","WMA","VWAP","SWMA","LRC") Returns: Midpoint

Library

Dynamic Highest Lowest Moving Average Similar to my last script, although this one uses the RSI value of (highest high - price) / (price - lowest low) to feed into the the logic creating the dynamic length. Choose how the length curve works by selecting either Incline, Decline, Peak or Trough. Lastly select the moving average type to filter the result through to smoothen things out a bit to find something that works for your strategy. This is useful as an entry/exit indicator along with other moving averages, or even just a standalone if you play with the settings enough.

Indicator

Market Monitor The script can be used to send a JSON message to the webhook once per time. For example, to store market conditions in an external database. The latter is make sense for smaller timeframes due to PulseWire limitations on the number of available bars. The interval between messages can be set in the settings. To set up transmitted market metrics, you will probably need to modify the script code to add metrics that are important to you.

Indicator

Multiple MTF Variable Moving Average by Hassonya VMA(Variable Moving Average) automatically adjusts its smoothing constant on the basis of Market Volatility. Use VMA like other Moving Averages. This indicator lazybear's variable moving average has been upgraded and arranged in multi-time frame. There are 5 variable moving averages whose periods can be changed. Trend Direction Colors: GREEN COLOR = UpTrend, BLUE COLOR = Potential Congestion, RED COLOR = DownTrend. If you want, you can use multi-time frame period breakouts If you want, you can use moving average breakouts of different lengths in the same period. In this way, you can use 5 moving moving averages in the same period or in different periods. To activate, go to settings and activate the box to the left of the name. If you uncheck the box, the moving average will disappear. Stay with the trade and investment. I wish you abundance.

Indicator

MathConstants Library "MathConstants" Mathematical Constants E() The number e Log2E() The number log (e) Log10E() The number log (e) Ln2() The number log (2) Ln10() The number log (10) LnPi() The number log (pi) Ln2PiOver2() The number log (2*pi)/2 InvE() The number 1/e SqrtE() The number sqrt(e) Sqrt2() The number sqrt(2) Sqrt3() The number sqrt(3) Sqrt1Over2() The number sqrt(1/2) = 1/sqrt(2) = sqrt(2)/2 HalfSqrt3() The number sqrt(3)/2 Pi() The number pi Pi2() The number pi*2 PiOver2() The number pi/2 Pi3Over2() The number pi*3/2 PiOver4() The number pi/4 SqrtPi() The number sqrt(pi) Sqrt2Pi() The number sqrt(2pi) SqrtPiOver2() The number sqrt(pi/2) Sqrt2PiE() The number sqrt(2*pi*e) LogSqrt2Pi() The number log(sqrt(2*pi)) LogSqrt2PiE() The number log(sqrt(2*pi*e)) LogTwoSqrtEOverPi() The number log(2 * sqrt(e / pi)) InvPi() The number 1/pi TwoInvPi() The number 2/pi InvSqrtPi() The number 1/sqrt(pi) InvSqrt2Pi() The number 1/sqrt(2pi) TwoInvSqrtPi() The number 2/sqrt(pi) TwoSqrtEOverPi() The number 2 * sqrt(e / pi) Degree() The number (pi)/180 - factor to convert from Degree (deg) to Radians (rad). Grad() The number (pi)/200 - factor to convert from NewGrad (grad) to Radians (rad). PowerDecibel() The number ln(10)/20 - factor to convert from Power Decibel (dB) to Neper (Np). Use this version when the Decibel represent a power gain but the compared values are not powers (e.g. amplitude, current, voltage). NeutralDecibel() The number ln(10)/10 - factor to convert from Neutral Decibel (dB) to Neper (Np). Use this version when either both or neither of the Decibel and the compared values represent powers. Catalan() The Catalan constant Sum(k=0 -> inf){ (-1)^k/(2*k + 1)2 } EulerMascheroni() The Euler-Mascheroni constant lim(n -> inf){ Sum(k=1 -> n) { 1/k - log(n) } } GoldenRatio() The number (1+sqrt(5))/2, also known as the golden ratio Glaisher() The Glaisher constant e^(1/12 - Zeta(-1)) Khinchin() The Khinchin constant prod(k=1 -> inf){1+1/(k*(k+2))^log(k,2)}

Library

by RicardoSantos

[FN] Strategy - Store Level on Condition This is a function that you can use in strategies. Not a strategy in and of itself. Example thumbnail is showing the function applied to a strategy. Oftentimes, I am asked a question regarding how to hold a variable at a specific, constant level over a conditional period of time. This question is always asked in a very long convoluted way like "I want the strategy to know what the high of the last pivot was while I'm in a long." or some other variation of wanting a script to remember something from prior bars. This function is designed to store a price or some numeric level on the bar that your conditional (bool) statements determine that it should be stored. In this construct, you would set conditional statement(s) to flip the 'hold condition' to be true on the next bar, then hold that value until either the "hold condition" is no longer true or the initial conditions trigger again, causing an update to the level that you want to capture. You still have to come up with the logic for the start condition and hold condition on your own, but I've provided an example that should give you an idea of how to accomplish this and customize/deploy the function for your purposes. The function will return 'na' when neither the start condition nor hold condition are true. There's multiple ways to implement this and variations on how the level is chosen. I've written extensive notes in the script to guide you through the logic behind the function. My hope is that it will be useful to those trying to build strategies or anyone attempting to get their script to remember a level under given conditions. In the thumbnail example, the take profit level is defined at the beginning of the trade and held until the take profit order executes. The order execution is a separate matter. However, storing the take-profit level at a static value is key to telling the strategy.exit() function what price to execute a limit exit order at. Example: strategy.exit("Exit Long", from_entry = "long", qty_percent = 100, limit = stored_value) Let me know how it works out for you and if I can be of any assistance. Note: Strategy results are mainly derived from the fact that the strategy is long-only, the NQ only goes up, and there is no stop loss in place. So don't ask for the specific strategy, because unless you're trading a single contract with a $500,000 account, you'll probably get liquidated using this strategy as it is presented.

Indicator

Ultimate Moving Average [CC+RedK]The Ultimate Moving Average was created by myself and @RedKTrader and I can proudly say that this is the holy grail of moving averages. Not only does this moving average react to the current price trends like a normal moving average but we have also included the ability to react to volume, momentum, and volatility. The only thing this moving average can't do is wash your car. The Ultimate Moving Average doesn't even use a set length so it is fully adaptable to any type of market whether it is choppy or trending. It tightens during volatile markets and loosens during choppy markets. I have included 3 of the main moving averages of a fixed length of 20 days to show you just how much better our moving average is. The overall concept of this moving average was to fully adapt to any and all changes of the underlying stock. We used my Variable Power Weighted Moving Average as a base and changed the script to adapt to momentum instead. The idea behind this was when momentum reaches an extreme in either direction we tighten the moving average to be able to react accordingly. We then used the idea behind my Variable Length Moving Average to be able to react to volatility and make the length itself into a separate variable. All of this work combined to create the most reactive moving average out there and I guarantee you will be using this in your daily trading! Let me know if there are any other scripts you would like to see me publish.

Indicator

by cheatcountry

Visualizing Behaviors of barstate Variables The title pretty much sums up what this script does. It's intended for Pine Script developers, but especially for newcomers to Pine Editor contemplating the use of barstate variables. I would recommend using this on 15 second or 1 minute chart intervals for a quick and obvious analysis of barstate behaviors. These barstate variables change from TRUE to FALSE or FALSE to TRUE during specific times/conditions of script operation. One unique state you might not ever see change is barstate.isfirst. This is only TRUE when bar_index==0, most easily viewed on the monthly "All" chart on the far left. I provided a label displaying the current bar_index for perspective. I hope this provides an improved grasp of barstate understanding for fellow members, as it did for myself. 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!

Indicator

by ImmortalFreedom

Variable Length Moving Average The Variable Length Moving Average was created by George R. Arrington Ph.D. (Stocks & Commodities V. 9:6 (219-223)) and I'm really loving this indicator. It is a great moving average that hugs the price very closely and it is fully adjustable to your needs. It detects signals extremely well and I have color coded the moving average line to make it very easy to interpret. This is not to be confused with the Variable Moving Average created by Tushar S. Chande and as of now I haven't seen any other script for this moving average out there yet. Please let me know if you would like me to write any other scripts for indicators you would like to see!

Indicator

by cheatcountry

Variable Moving Average Strategy Strategy based on Variable Moving Average

Strategy

by laptevmaxim92

Function StochRSI Stochastic Relative Strength Index developed by Tushar Chande and Stanley Kroll. This script has been written to eliminate the period variable.(Integer) Thus, it can be used comfortably in adaptive period scripts ! (For example : Adaptive Moving Average , KAMA , FAMA .. etc. ) All efforts goes to ChaosTrader () , RicardoSantos () , Hpotter for barcolor codes (iff) () I hope it will help your new ideas . Best regards ! Noldo .

Indicator

Bryant Adaptive Moving Average @ChartArt got my attention to this idea. This type of moving average was originally developed by Michael R. Bryant (Adaptrade Software newsletter, April 2014). Mr. Bryant suggested a new approach, so called Variable Efficiency Ratio (VER), to obtain adaptive behaviour for the moving average. This approach is based on Perry Kaufman' idea with Efficiency Ratio (ER) which was used by Mr. Kaufman to create KAMA. As result Mr. Bryant got a moving average with adaptive lookback period. This moving average has 3 parameters: Initial lookback Trend Parameter Maximum lookback The 2nd parameter, Trend Parameter can take any positive or negative value and determines whether the lookback length will increase or decrease with increasing ER. Changing Trend Parameter we can obtain KAMA' behaviour To learn more see www.adaptrade.com

Indicator

In-depth global business and economic analysis Comprehensive trading education and market insights