Mizar — Trading Ideas on TradingView

3rd Pine Script Lesson: Open a command & send it to a Mizar Bot Welcome back to our TradingView tutorial series! We have reached lesson number 3 where we will be learning how to open a command on TradingView and send it to a Mizar Bot. If you're new here and missed the first two lessons, we highly recommend starting there as they provide a solid foundation for understanding the concepts we'll be covering today. In the first lesson, you will be learning how to create a Bollinger Band indicator using Pine Script: In the second lesson, you will be guided through every step of coding the entry logic for your own Bollinger Band indicator using Pine Script: In this brief tutorial, we'll walk you through the process of utilizing your custom indicator, Mikilap, to determine the ideal timing for sending a standard JSON command to a Mizar DCA bot. By the end of this lesson, you'll have the ability to fine-tune your trading strategies directly on Mizar using indicators from TradingView. So, sit back, grab a cup of coffee (or tea), and let's get started! To establish a common starting point for everyone, please use the following code as a starting point. It incorporates the homework assignment from our Pine Script lesson number 2. By using this code as our foundation, we can collectively build upon it and delve into additional concepts together. So, sit back, grab a cup of coffee (or tea), and let's get started! // This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // Mizar Example Code - Lesson I - Coding an indicator // version 1.0 - April 2023 // Intellectual property © Mizar.com // Mizar-Killer-Long-Approach ("Mikilap") //@version=5 // Indicator script initiation indicator(title = "Mizar-Killer-Long-Approach", shorttitle = "Mikilap", overlay = true, max_labels_count = 300) // Coin Pair with PREFIX // Bitcoin / USDT on Binance as example / standard value on an 60 minutes = 1 hour timeframe string symbol_full = input.symbol(defval = "BINANCE:BTCUSDT", title = "Select Pair:", group = "General") string time_frame = input.string(defval = "60", title = "Timeframe:", tooltip = "Value in minutes, so 1 hour = 60", group = "General") int length = input.int(defval = 21, title = "BB Length:", group = "Bollinger Band Setting") src = input(defval = close, title="BB Source:", group = "Bollinger Band Setting") float mult = input.float(defval = 2.0, title="BB Standard-Deviation:", group = "Bollinger Band Setting") float lower_dev = input.float(defval = 0.1, title = "BB Lower Deviation in %:", group = "Bollinger Band Setting") / 100 int length_rsi = input.int(defval = 12, title = "RSI Length:", group = "RSI Setting") src_rsi = input(defval = low, title="RSI Source;", group = "RSI Setting") int rsi_min = input.int(defval = 25, title = "", inline = "RSI band", group = "RSI Setting") int rsi_max = input.int(defval = 45, title = " < min RSI max > ", inline = "RSI band", group = "RSI Setting") // Defintion of a Pine Script individual function to handle the Request and avoid Repainting Errors Function_Mikilap(simple string coinpair, simple string tf_to_use) => int function_result = 0 bool barstate_info = barstate.isconfirmed open_R, high_R, low_R, close_R = request.security(coinpair, tf_to_use, ) // Bollinger part of MIKILAP src_cp = switch src open => open_R high => high_R low => low_R => close_R lower_band_cp = ta.sma(src_cp, length) - (mult * ta.stdev(src_cp, length)) lower_band_cp_devup = lower_band_cp + lower_band_cp * lower_dev lower_band_cp_devdown = lower_band_cp - lower_band_cp * lower_dev bool bb_entry = close_R < lower_band_cp_devup and close_R > lower_band_cp_devdown and barstate_info // RSI part of MIKILAP src_sb = switch src_rsi open => open_R high => high_R low => low_R => close_R rsi_val = ta.rsi(src_sb, length_rsi) bool rsi_entry = rsi_min < rsi_val and rsi_max > rsi_val and barstate_info // Check if all criteria are met if bb_entry and rsi_entry function_result += 1 if function_result == 1 and ticker.standard(syminfo.tickerid) == coinpair label LE_arrow = label.new(x = bar_index, y = low_R, text = " 🢁 LE", yloc = yloc.belowbar, color = color.rgb(255,255,255,25), style = label.style_none, textcolor = color.white, tooltip = str.tostring(open_R)) function_result // Calling the Mikilap function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) color bg_color = indi_value ? color.rgb(180,180,180,75) : color.rgb(25, 25, 25, 100) bgcolor(bg_color) // Output on the chart // plotting a band around the lower bandwith of a Bollinger Band for the active CoinPair on the chart lower_bb = ta.sma(src, length) - (mult * ta.stdev(src, length)) lower_bb_devup = lower_bb + lower_bb * lower_dev lower_bb_devdown = lower_bb - lower_bb * lower_dev upper = plot(lower_bb_devup, "BB Dev UP", color=#faffaf) lower = plot(lower_bb_devdown, "BB Dev DOWN", color=#faffaf) fill(upper, lower, title = "BB Dev Background", color=color.rgb(245, 245, 80, 80)) Open a command to send to a Mizar Bot. Let‘s continue coding Our target: Use our own indicator: Mikilap, to define the timing to send a standard JSON command to a Mizar DCA bot. (1) define the JSON command in a string, with variables for - API key - BOT id - BASE asset (coin to trade) (2) send the JSON command at the beginning of a new bar (3) setup the TradingView alert to transport our JSON command via Webhook/API to the Mizar DCA bot Below you can see the code, which defines the individual strings to prepare the JSON command. In the following, we will explain line by line, what each individual string and command is used for. // Defintion of a Pine Script individual function to handle the Request and avoid Repainting Errors Function_Mikilap(simple string coinpair, simple string tf_to_use) => int function_result = 0 bool barstate_info = barstate.isconfirmed open_R, high_R, low_R, close_R = request.security(coinpair, tf_to_use, ) //Text-strings for alerts via API / Webhook string api_key = "top secret" // API key from MIZAR account string symbol_prefix = str.replace(symbol_full, "BINANCE:", "", 0) string symbol_name = str.replace(symbol_prefix, "USDT", "", 0) string bot_id = "0000" // BOT id from MIZAR DCA bot // String with JSON command as defined in format from MIZAR.COM // BOT id, API key and the BASE asset are taken from separate variables DCA bot identifier: string api_key = "top secret" string bot_id = "0000" These both strings contain the info about your account (BOT owner) and the unique id of your bot, which should receive the JSON command. BASE asset: string symbol_prefix = str.replace(symbol_full, "BINANCE:", "", 0) string symbol_name = str.replace(symbol_prefix, "USDT", "", 0) The shortcut of the base asset will be taken out of the complete string for the coin pair by cutting out the CEX identifier and the quote asset. JSON command for opening a position: Entry_message = '{ "bot_id": "' + bot_id + '", "action": "' + "open-position" + '", "base_asset": "' + symbol_name + '", "quote_asset": "' + "USDT" + '", "api_key": "' + api_key + '" }' If you want to have more info about all possible JSON commands for a DCA bot, please look into Mizar‘s docs: docs.mizar.com As the JSON syntax requires quotation marks (“) as part of the command, we define the string for the entry message with single quotations ('). So please ensure to open and close these quotations before or after each operator (=, +, …). Current status: - We have the entry logic and show every possible entry on the chart => label. - We have the JSON command ready in a combined string (Entry_message) including the BOT identifier (API key and BOT id) as well as the coin pair to buy. What is missing? - To send this message at the opening of a new bar as soon as the entry logic is true. As we know these moments already, because we are placing a label on the chart, we can use this condition for the label to send the message as well. alert(): built-in function - We recommend checking the syntax and parameters for alert() in the Pine Script Reference Manual. As we want to send only one opening command, we are using the alert.freq_once_per_bar. To prepare for more complex Pine Scripts, we have placed the alert() in a separate local scope of an if condition, which is not really needed in this script as of now. if bb_entry and rsi_entry function_result += 1 if function_result == 1 alert(Entry_message, alert.freq_once_per_bar) if function_result == 1 and ticker.standard(syminfo.tickerid) == coinpair label LE_arrow = label.new(x = bar_index, y = low_R, text = " 🢁 LE", yloc = yloc.belowbar, color = color.rgb(255,255,255,25), style = label.style_none, textcolor = color.white, tooltip = str.tostring(open_R)) IMPORTANT REMARK: Do not use this indicator for real trades! This example is for educational purposes only! Configuration of the TradingView alert: on the top right of the chart screen, you will find the clock, which represents the alert section a) click on the clock to open the alert section b) click on the „+“ to create a new alert c) set the condition to our indicator Mikilap and the menu will change its format (configuration of the TradingView alert) For our script nothing else is to do (you may change the expiration date and alert name), except to add the Webhook address in the Notification tab. Webhook URL: api.mizar.com Congratulations on finishing the third lesson on TradingView - we hope you found it informative and engaging! You are now able to code a well-working easy Pine Script indicator, which will send signals and opening commands to your Mizar DCA bot. We're committed to providing you with valuable insights and practical knowledge throughout this tutorial series. So, we'd love to hear from you! Please leave a comment below with your suggestions on what you'd like us to focus on in the next lesson. Thanks for joining us on this learning journey, and we're excited to continue exploring TradingView with you!

2nd Pine Script Lesson: Coding the Entry Logic - Bollinger Band Welcome back to our Trading View tutorial series! In this second lesson, be learning how to code the entry logic for a Bollinger Band indicator using Pine Script. If you're new here and missed the first lesson, we highly recommend starting there as it provides a solid foundation for understanding the concepts we'll be covering today: In this hands-on lesson, we'll guide you through every step of coding the entry logic for your own Bollinger Band indicator using Pine Script. By the end of this lesson, you'll have a functional indicator that you can use to inform your trading decisions. So, sit back, grab a cup of coffee, and let's get started! Code the entry logic a) This is where we are calling the Mikilap function with two arguments: - the coinpair and - the timeframe we want to use. // Calling the Mikilap function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) b) In the function initiation we convert the strings into simple strings. // Definition of a Pine Script individual function to handle the Request and avoid Repainting Errors Function_Mikilap(simple string coinpair, simple string tf_to_use) => c) As we are calling the function to get an integer value, we have to define an output variable as an integer and place this variable as the last line in the local scope of the function code to return the integer value. int function_result = 0 // placeholder for indicator calculations function_result Step 1: Using the lower bandwidth of the Bollinger Band based on SMA (close, 21) and a standard deviation of 2.0 and try to highlight bars, where close is next to the lower band a) Requesting the values for the coinpair with request.security() = request.security(coinpair, tf_to_use, ) We recommend using repainting functions like request or barstate only in a local scope (inside a function) and not to request complex calculated values. For saving calculation capacity it is useful to only request the classic four OHLCs and do any calculation with these four after the r equest.security() . b) Calculation of the lower Bollinger Bands values as we need the global info, which type of source, length, and deviation value to use for the calculation, let‘s cut & paste the input for the Bollinger Band in the general starting section of the code and as we want to look for close values „next“ to the lower bandwidth, we need to define what „next“ means; let‘s do it in another input variable, perhaps we want to play with the definition later. string symbol_full = input.symbol(defval = "BINANCE:BTCUSDT", title = "Select Pair:", group = "General") string time_frame = input.string(defval = "60", title = "Timeframe:", tooltip = "Value in minutes, so 1 hour = 60", group = "General") int length = input.int(defval = 21, title = "BB Length:", group = "Bollinger Band Setting") src = input(defval = close, title="BB Source", group = "Bollinger Band Setting") float mult = input.float(defval = 2.0, title="BB Standard-Deviation", group = "Bollinger Band Setting") float lower_dev = input.float(defval = 0.1, title="BB Lower Deviation in %", group = "Bollinger Band Setting")/100 First, let‘s make it visible on the chart by re-writing the Bollinger Bandplot, which is not needed anymore. // Calling the Mikilap function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) // Output on the chart // Part 2 - plotting a Band around the lower bandwidth of a Bollinger Band for the active CoinPair on the chart lower_bb = ta.sma(src, length) - (mult*ta.stdev(src, length)) lower_bb_devup = lower_bb + lower_bb * lower_dev lower_bb_devdown = lower_bb - lower_bb * lower_dev upper = plot(lower_bb_devup, "BB Dev UP", color=#faffaf) lower = plot(lower_bb_devdown, "BB Dev DOWN", color=#faffaf) fill(upper, lower, title = "BB Dev Background", color=color.rgb(245, 245, 80, 80)) c) Now we use the same calculation for the coinpair inside the function and start with the selection of the source (OHLC) to use, which is activein the respective input variable. // Defintion of a Pine Script individual function to handle the Request and avoid Repainting Errors Function_Mikilap(simple string coinpair, simple string tf_to_use) => int function_result = 0 bool barstate_info = barstate.isconfirmed = request.security(coinpair, tf_to_use, ) src_cp = switch src open => open_R high => high_R low => low_R => close_R lower_band_cp = ta.sma(src_cp,length) - (mult*ta.stdev(src_cp, length)) lower_band_cp_devup = lower_band_cp + lower_band_cp * lower_dev lower_band_cp_devdown = lower_band_cp - lower_band_cp * lower_dev // placeholder for indicator calculations d) As the bandwidth for the interesting close values is defined by our band, the only thing missing for the part of the Bollinger Band in our Mikilap indicator is to check if the close value of a bar is inside our band. As we are talking about closed bars, let‘s be sure that it is really closed by using barstate.isconfirmed (repainting built-in function!) and save it in a variable in the head of the function to avoid requesting this info too often. bool barstate_info = barstate.isconfirmed Now let‘s check if the close value of a bar is inside our band. bool bb_entry = close_R < lower_band_cp_devup and close_R > lower_band_cp_devdown and barstate_info And increase the output variable by 1 in case the close value is inside. if bb_entry function_result += 1 By using bb_entry , we are referring to the last bar next to the actual bar, because we want to enter on the opening of the bar after the criteria has been met. e) And to make these possible entries visible, we want to place a label below the bar and show the entry price (=open value of the bar) as mouseover (tooltip). This should only happen if the active coinpair on the chart is the same coinpair, which is in the calculation of the function. if function_result == 1 and ticker.standard(syminfo.tickerid) == coinpair label LE_arrow = label.new(x = bar_index, y = low_R, text = " ↑ LE", yloc = yloc.belowbar, color = color.rgb(255,255,255,25),style = label.style_none, textcolor = color.white, tooltip = str.tostring(open_R)) Note: You will love labels (!) and in case you are looking for text symbols that can be used as labels, look here: www.messletters.com If you need help use the Pine Script Reference Manual, which explains 99% of everything in Pine Script, here: www.tradingview.com f) As our function now returns different integer values (0 or 1), we can use this info to color the background on the actual chart in case it is 1. // Calling the Mikilap function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) color bg_color = indi_value ? color.rgb(180,180,180,75) : color.rgb(25,25,25,100) bgcolor(bg_color) g) To finish this little Pine Script lesson and to achieve our initial targets, we just need to integrate the second indicator (RSI) into the function. We want to use the RSI for 0,5 days (12 hours) and use it to ensure to not go into a long entry in an oversold (< 25) or overbought (> 70) market. We will use RSI (low, 12) within 25 to 45 as the range to go for. Your tasks: define new input variables for RSI: src_rsi and length_rsi define new input variables for the RSI range we want to use: rsi_minand rsi_max(please use the „inline“ format of an input type) calculate the RSI (src_rsi, length_rsi) inside our Mikilap-function define a boolean variable (rsi_entry) to check if the calculated RSI value is inside the range (please add as last check the barstate_info) add the RSI entry check to the Bollinger Band entry check to combine them Congratulations on finishing the second lesson on Trading View - we hope you found it informative and engaging! We're committed to providing you with valuable insights and practical knowledge throughout this tutorial series. So, we'd love to hear from you! Please leave a comment below with your suggestions on what you'd like us to focus on in the next lesson. Thanks for joining us on this learning journey, and we're excited to continue exploring Trading View with you!

1st Pine Script Lesson: Coding an Indicator - Bollinger Band Welcome to this lesson on Trading View, where we will be learning how to create a Bollinger Band indicator using Pine Script. Bollinger Bands are a popular tool that helps measure an asset's volatility and identify potential trends in price movement. Essentially, the indicator consists of three lines: a middle line that's a simple moving average (SMA), and an upper and lower band that are two standard deviations away from the SMA. The upper band represents the overbought level, meaning the price of the asset is considered high and may be due for a correction. The lower band represents the oversold level, meaning the price is considered low and may be due for a rebound. Pine Script is a programming language specifically used for creating custom indicators and strategies on Trading View. It's a powerful tool that allows traders to customize their technical analysis to fit their special trading needs and gain deeper insights into the markets.. In this lesson, we'll be taking a hands-on approach to learning. We'll walk through each step of creating our own Bollinger Band indicator using Pine Script, with the goal of helping you gain confidence in your ability to customize and create indicators that meet your unique trading needs. So, grab a cup of coffee and let's get started! Step 1: Set up a new chart Let‘s set up a new clean chart to work with for this example. You will find the menu to manage your layouts on the top right of the TradingView screen. a) add a new layout b) rename it to „Mizar Example“ c) select BTCUSDT from Binance d) set the time frame to 1 hour e) clean the screen (closing the Volume indicator) f) save it Step 2: Coding an indicator Let‘s code our new indicator („Mizar-Killer-Long-Approach“)and make the possible entry moments visible on the chart. You will find the Pine Editor on the bottom left of the TradingView screen. a) open the Pine Editor b) use „Open“ in the Pine Editor menu bar c) use the item: create a new indicator d) let‘s use full screen for a better overview use the three dots on the right end of the Pine Editor menu bar and open the script in a separate new browser tab e) rename it to “Mikilap“ by clicking on the current name f) save it Step 3: Coding an indicator Let‘s start coding Our target: 1. create an own new indicator: Mikilap, which bases in general on RSI and Bollinger Band 2. define the parameter for Mikilap, to select the long entries 3. show the long entries on the chart by - putting a label below the bar - change the background color of the timeframe for the bar on the chart Initiation/Generals • Indicator initiation //Indicator script initiation indicator(title = "Mizar-Killer-Long-Approach", shorttitle = "Mikilap", overlay = true, max_labels_count = 300) indicator = Pine keyword for an indicator script title = Long form of the name short title = Short form of the name as shown on the chart overlay = true: output like labels, boxes, … are shown on the chart false: output like plots, … are shown in a separate pane • General variables and input // Coin Pair with PREFIX // Bitcoin / USDT on Binance as an example / standard value on an 60 minutes = 1-hour timeframe string symbol_full = input.symbol(defval = "BINANCE:BTCUSDT", title = "Select Pair:", group = "General") string time_frame = input.string(defval = "60", title = "Timeframe:", tooltip = "Value in minutes, so 1 hour = 60", group = "General") Using the input type of a variable allows you to change this setting in the setup on the chart without changing the Pine Script code. Framework Code on Main Level • Framework code on the main level around the indicator calculation function // Defintion of a Pine Script individual function to handle the Request and avoid Repainting Errors Function_Mikilap(simple string coinpair, simple string tf_to_use) => int function_result = 0 // placeholder for indicator calculations function_result // Calling the Milky Way function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) Output on the chart - Part 1 // Output on the chart // Part 1 - plotting a Bollinger Band for the active CoinPair on the chart int length = input.int(defval = 21, title = "BB Length:", group = "Bollinger Band Setting") src = input(defval = close, title="BB Source", group = "Bollinger Band Setting") float mult = input.float(defval = 2.0, title="BB Standard-Deviation", group = "Bollinger Band Setting") upper_band = ta.sma(src, length) + (mult * ta.stdev(src, length)) lower_band = ta.sma(src, length) - (mult * ta.stdev(src, length)) upper = plot(upper_band, "BB Upper", color=#faffaf) lower = plot(lower_band, "BB Lower", color=#faffaf) fill(upper, lower, title = "BB Background", color=color.rgb(245, 245, 80, 80)) Done for today! • Let‘s save our current script and take a look if we see our Bollinger Band plotted on the chart. • Step 1: Save (top right) • Step 2: check in the compiling section, that there are no errors (separate pane below the code) • Step 3: go to the Mizar Example chart and add an Indicator How does it look now? You will see the Bollinger Band as a yellow area around the candles. By pressing the „Settings“ button behind the name of our indicator, the menu for Mikilap will open and you can adjust all the settings we have done with input type variables. Congrats if you‘ve made it until here! Get prepared for the next lesson, where we will continue with the indicator/entry logic.