Scripts Search Results for "3500亿美元是多少人民币" — TradingView

Logger Library For Pinescript (Logging and Debugging)Library "LoggerLib" This is a logging library for Pinescript. It is aimed to help developers testing and debugging scripts with a simple to use logger function. Pinescript lacks a native logging implementation. This library would be helpful to mitigate this insufficiency. This library uses table to print outputs into its view. It is simple, customizable and robust. You can start using it's .log() method just like any other logging method in other languages. ////////////////// USAGE ////////////////// -- Recommended: Please Read The Documentation From Source Code Below. It Is Much More Readable There And Will Be Updated Along With Newer Versions. -- Importing the Library --------------------- import paragjyoti2012/LoggerLib/ as Logger .init() : Initializes the library and returns the logger pointer. (Later will be used as a function parameter) .initTable: Initializes the Table View for the Logger and returns the table id. (Later will be used as a function parameter) parameters: logger: The logger pointer got from .init() max_rows_count: Number of Rows to display in the Logger Table (default is 10) offset: The offset value for the rows (Used for scrolling the view) position: Position of the Table View Values could be: left right top-right (default is left) size: Font Size of content Values could be: small normal large (default is small) hide_date: Whether to hide the Date/Time column in the Logger (default is false) returns: Table example usage of .initTable() import paragjyoti2012/LoggerLib/1 as Logger var logger=Logger.init() var logTable=Logger.initTable(logger, max_rows_count=20, offset=0, position="top-right") ------------------- LOGGING ------------------- .log() : Logging Method params: (string message, |string| logger, table table_id, string type="message") logger: pass the logger pointer from .init() table_id: pass the table pointer from .initTable() message: The message to log type: Type of the log message Values could be: message warning error info success (default is message) returns: void /////////////////////////////////////// Full Boilerplate For Using In Indicator /////////////////////////////////////// P.S: Change the | (pipe) character into square brackets while using in script (or copy it from the source code instead) offset=input.int(0,"Offset",minval=0) size=input.string("small","Font Size",options=|"normal","small","large"|) rows=input.int(15,"No Of Rows") position=input.string("left","Position",options=|"left","right","top-right"|) hide_date=input.bool(false,"Hide Time") import paragjyoti2012/LoggerLib/1 as Logger var logger=Logger.init() var logTable=Logger.initTable(logger,rows,offset,position,size,hide_date) rsi=ta.rsi(close,14) |macd,signal,hist|=ta.macd(close,12,26,9) if(ta.crossunder(close,34000)) Logger.log("Dropped Below 34000",logger,logTable,"warning") if(ta.crossunder(close,35000)) Logger.log("Dropped Below 35000",logger,logTable) if(ta.crossover(close,38000)) Logger.log("Crossed 38000",logger,logTable,"info") if(ta.crossunder(rsi,20)) Logger.log("RSI Below 20",logger,logTable,"error") if(ta.crossover(macd,signal)) Logger.log("Macd Crossed Over Signal",logger,logTable) if(ta.crossover(rsi,80)) Logger.log("RSI Above 80",logger,logTable,"success") //////////////////////////// // For Scrolling the Table View //////////////////////////// There is a subtle way of achieving nice scrolling behaviour for the Table view. Open the input properties panel for the table/indicator. Focus on the input field for "Offset", once it's focused, you could use your mouse scroll wheel to increment/decrement the offset values; It will smoothly scroll the Logger Table Rows as well. ///////////////////// For any assistance using this library or reporting issues, please write in the comment section below. I will try my best to guide you and update the library. Thanks :) /////////////////////

XAU 0/5 Grid This indicator draws horizontal price grids for XAUUSD. It anchors the grid to a base price that ends with 0 or 5, then plots equally spaced levels every 5 price units above and below that base. It’s a clean way to eyeball fixed-interval structure for rough support/resistance zones and simple TP/SL planning. How it works Base (0/5): base = floor(close / 5) × 5 → forces the base to always end with 0/5. Grid levels: level_i = base + i × 5, where i is any integer (positive/negative). The script updates positions only when the base changes to avoid flicker and reduce chart load. It uses a persistent line array to manage the line objects efficiently. Usage Add the indicator to an XAUUSD chart on any timeframe. Configure in the panel: Show Lines – toggle visibility Lines each side – number of lines above/below the base Line Color / Line Width – appearance Use the grid as fixed reference levels (e.g., 3490, 3495, 3500, 3505, …) for planning TP/SL or observing grid breaks. Highlights Strict 0/5 anchoring keeps levels evenly spaced and easy to read on gold. Auto-reanchors when price moves to a new 0/5 zone, maintaining a steady view. Lightweight design: lines are created once and then updated, minimizing overhead. Limitations Visualization only — not a buy/sell signal. Spacing is fixed at 5 price units, optimized for XAUUSD. If used on other symbols/brokers with different tick scales, adjust the logic accordingly. Grid lines do not guarantee support/resistance; always combine with broader market context.

AWR Optimized LR Graph Hello Trading Viewers ! Drawing linear regression channels at the best place and for many periods can be time consuming. In the library, I've found some indicators that draw 1 or 2 but based on fixed number of bars or a duration... Not always relevant, that's why I decide to create this indicator. It calculates 8 linear regression channels according to 8 differents configurable periods. Each time, the indicator will calculate for each specified duration range the best linear regression line & channel (2 standard regressions) for that period and then plot it on the graph. You can settle how many linear regression channels you want to display. For period, defaults configurations (number of candles studied) are : Period 1 min1 = 33 max1 = 66 Period 2 min2 = 67 max2 = 128 Period 3 min3 = 129 max3 = 255 Period 4 min4 = 256 max4 = 510 Period 5 min5 = 511 max5 = 1020 Period 6 min6 = 1021 max6 = 2040 Period 7 min7 = 2041 max7 = 3500 Period 8 min8 = 3501 max8 = 4999 This default settings provide short-term, mid term, long term and a very long-term view. You have to go back on the chart to display the channels that start on previous period that are currently not on the screen. You can set a specific color for each linear regression channels. The linear regression line is based on the least squares method, meaning: it calculates along each period the gap between a linear & the price & squarred it. Then it defines the linear in order to have always the least distance between price and the linear. The more the price deviates from its regression line, the more statistically likely it is to return to its regression line. Application of Regression Lines in Trading Regression lines are widely used in trading and financial analysis to understand market trends and make informed predictions. Here are some key applications: 1. Trend Identification – Traders use regression lines to visualize the general direction of a stock or asset price, helping to confirm an upward or downward trend. 2. Price Predictions – Linear regression models assist in estimating future price movements based on historical data, allowing traders to anticipate changes. 3. Risk Assessment – By analyzing the slope and variation of a regression line, traders can gauge market volatility and potential risks. 4. Support and Resistance Levels – Regression channels help traders identify support and resistance zones, providing insight into optimal entry and exit points in a trend. 5. You can also use the short period linear regression channels vs the long period linear regression channels to identify important pivot points.

GREEN MILE & RED SKY by Onur This indicator is the upgrated version of "GREEN MILE by Onur". Indicator shows fibonacci buying + selling levels due to the past 3500 (adjustable and 1500 by default) candles. Prices in the dark green area is a strong buying signal. Prices in the dark red areas is strong selling signal Decreasing period value makes indicator effective from long term to short term. Works harmoniously with MACD & RSI indicators.