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LiquidityFlow Dominance+Alerts (btc.d, T3, Stables)LiquidityFlow Dominance+Alerts: Overview & Usage Guide Overview The LiquidityFlow Dominance+Alerts indicator provides a dynamic view of liquidity flow across Bitcoin, Altcoins, and Stablecoins, helping track liquidity shifts and identify market sentiment. By integrating moving averages, custom alerts, and thresholds for extreme outliers, this indicator helps to anticipate bullish and bearish shifts in liquidity and alert market tops and bottoms. Key features include: 1. Liquidity Flow Monitoring : Track liquidity flow across Bitcoin (BTC), Altcoins (TOTAL3), and Stablecoins (USDT, USDC, DAI). 2. Custom Alerts : Set alerts for key liquidity shifts and extreme conditions in Stablecoin dominance, both with static and moving average (MA)-based calculations. 3. Moving Averages : Use Simple, Exponential, or Weighted Moving Averages to smooth out market data for more reliable signals. 4. Outlier Detection : Identify potential tops and bottoms using thresholds for Stablecoin dominance, with alerts for extreme movements. Functionality Data Inputs and Key Metrics - Symbols Monitored: - Bitcoin Dominance (BTC.D) - Altcoin Market Cap (TOTAL3) - Stablecoins (USDT.D, USDC.D, DAI.D) - Liquidity Flow Conditions: - Track percentage changes in dominance across sectors to detect liquidity flow into Bitcoin, Altcoins, or Stablecoins. - Custom Metrics: - Liquidity Flow Index: BTC Dominance minus Stablecoin Dominance. - Liquidity Flow Ratio: BTC Dominance divided by the combined dominance of Stablecoins and Altcoins. Moving Average Integration - Select from SMA, EMA, or WMA to apply moving averages to the dominance metrics. Moving averages help smooth out short-term volatility and provide more consistent signals. - Moving averages are applied to each sector (BTC, Altcoins, and Stablecoins) and compared to their previous period values to determine shifts in liquidity. Alerts and Thresholds - % Change Lookback Period: Adjust the lookback period to align with the timeframe of your chart. Shorter timeframes may require a lower lookback period, while higher timeframes may benefit from longer periods. - Stables Bull/Bear % for Alerts: Set a threshold for when Stablecoin dominance becomes a bullish or bearish signal relative to BTC and Altcoins. A higher threshold may be used in volatile markets to filter out noise. - Extreme Outliers Detection: Use the **Stables Up/Down Extreme Threshold** to identify potential market tops or bottoms when Stablecoin dominance deviates significantly from historical trends. The **Extreme Lookback Period** controls the time window for detecting these anomalies. How to Use the Indicator Adjusting the % Change Lookback Period - The `% Change Lookback Period` should be adjusted based on your chart’s timeframe. For example, a shorter period (e.g., 7) works well for intraday charts, while longer periods (e.g., 14) might be more suitable for daily or weekly charts. Setting Thresholds for Alerts - Stables Bull/Bear % for Alerts: Adjust this setting to define when Stablecoin dominance triggers bullish or bearish alerts. A value like 1% could be a good starting point for most market conditions but can be fine-tuned based on volatility. - Extreme Lookback Period: Define the lookback period for detecting extreme moves in Stablecoin dominance. This will help identify major tops and bottoms in the market. For shorter-term trades, consider using a shorter extreme lookback (e.g., 7-10 periods). Alerts for Liquidity Shifts - The indicator supports alerts for key liquidity shifts, which are useful for staying ahead of market movements. Alerts can be set to notify you when liquidity moves into: - Bitcoin: Indicating a potential bullish trend for Bitcoin. - Altcoins: Signaling altcoins are bullish. - Stablecoins: Suggesting a risk-off environment or market correction. Extreme Alerts for Stables - Extreme Up/Down Alerts: These are triggered when Stablecoin dominance crosses extreme thresholds. For example, if Stablecoin dominance rises more than 14% over a set period, it could signal a market top, while a significant drop could indicate a market bottom. Moving Average Calculations - In addition to static percentage changes, moving averages can be applied to smooth out dominance values. The type and length of the moving average can be customized: - SMA (Simple Moving Average): Best for smoothing out volatility in a linear way. - EMA (Exponential Moving Average): More responsive to recent data, making it useful in faster markets. - WMA (Weighted Moving Average): Emphasizes more recent data, but less reactive than the EMA. Additional Usage Tips: - Background Colors: The indicator visually highlights the dominant liquidity flow: - Orange: Liquidity is shifting toward Bitcoin. - Aqua: Liquidity is flowing into Altcoins. - Red: Liquidity is moving into Stablecoins.
Indicatore Pine Script®
di ok_Ty
.BXBT IndexThe current .BXBT index weighted as close as possible to BitMEX's with updates as BitMEX refreshes their index. Difference between this and the script titled '2020 March 27 .BXBT Index': this one will receive updates because it doesn't have a date in its title. Methodology www.bitmex.com "BitMEX Index Weights, assuming no constituent exchanges have been excluded due to Index Protection Rules, last updated 27 December 2019 at 12:00:05 UTC." Binance: - Bitstamp: 10.61% Bittrex: 2.53% Coinbase: 52.30% Gemini: 6.89% Huobi: - Itbit: 4.21% Kraken: 23.46% Poloniex: - ItBit's weight is combined with Gemini's due to ItBit not being on TradingView as of now. BITTREX:BTCUSD substituted with BITTREX:BTCUSDT*POLONIEX:USDTUSD to backfill because Bittrex only recently (late 2018) started to offer a fiat BTC/USD pair. Not that it matters since the index used in 2018 didn't include Bittrex if I remember correctly. What is actually used for 27/12/2019 to 27/03/2020: Binance: - Bitstamp: 10.61% Bittrex: 2.53% Coinbase: 52.30% Gemini: 11.10% Huobi: - Itbit: - Kraken: 23.46% Poloniex: - Options: Toggle candlesticks or close line Change price source to be used for indicators To be added: Change quarter to show indexes for different times, with labels that apply to the appropriate index used Reasons to use this vs. the index itself: (not many) It is helpful as a reference for other indicators or creation of an index.
Indicatore Pine Script®
di NeoButane
1
Godmode 4.0.0 [Oscillator]First off, a huge thank you to the following people: LEGION: LazyBear: www.tradingview.com xSilas: www.tradingview.com Ni6HTH4awK: www.tradingview.com sco77m4r7and: SNOW_CITY: www.tradingview.com oh92: www.tradingview.com alexgrover: www.tradingview.com cI8DH: www.tradingview.com DonovanWall: www.tradingview.com Since I've been on TradingView I've become somewhat enthralled by Godmode and the collective work that goes in to it, so I decided to publish my own iteration, building off the ideas already present. (This is a great way to get familiar with Pine by the way, just in case there are any beginners reading this) Changes The first change I made was to allow the user to select whatever tickerid they wanted as a benchmark. If trading XBTUSD on BitMEX for example, the indicator will react to exchange-specific activity, which means it will respond to all the little whipsaws, whipsaws that can be especially present on a futures exchange. By typing CRYPTOCAP:BTC or CRYPTOCAP:TOTAL we endeavor to remove noise. It can also signal earlier. Less noise and less lag. Another idea would be to choose a benchmark that has a strong inverse relationship with the asset you're trading: try CRYPTOCAP:USDT as the benchmark against BTC to see what I mean. I also added the ability to smooth the plot, yet again removing noise but adding considerable lag. The linear regression of the wave-trend is calculated in place of the EMA. This is plotted as columns with the midline (50) as the base. This is just calculating the slope of the wave-trend and can signal a weakening trend before a reversal takes place. Using cI8DH's True RSI script () as inspiration, I added a function for calculating the True TSI in an attempt to remove any bullish bias. Funnily enough, when I tried to do the same with the RSI I had some problems. I'll try to resolve this in the coming weeks. Made slight changes to the aesthetics. Tried to bring the two main plots alive by making their bold, opaque colors stand off the subtle tones in the background. To Do List 1. I would like to sort out the issue with the True RSI. 2. When the plots are smoothed, there's an issue with the green 'Caution!' dots appearing in the lower half of the indicator. 3. I'd like to adjust the code so that if the 'Benchmark' box is empty, that it will automatically register the current tickerid as the 'Benchmark'. If anyone has any suggestions on other fixes or how to apply the fixes mentioned by me, please don't hesitate to reach out to me here or through other media platforms. Want to Learn? If you'd like the opportunity to learn Pine but you have difficulty finding resources to guide you, take a look at this rudimentary list: docs.google.com The list will be updated in the future as more people share the resources that have helped, or continue to help, them. Follow me on Twitter to keep up-to-date with the growing list of resources. Suggestions or Questions? Don't even kinda hesitate to forward them to me. My (metaphorical) door is always open. BITMEX:XBTUSD CRYPTOCAP:BTC CRYPTOCAP:TOTAL CRYPTOCAP:USDT.D
Indicatore Pine Script®
di chrysopoetics
6
Floating Bands of the Argentine Peso (Sebastian.Waisgold) The BCRA ( Central Bank of the Argentine Republic ) announced that as of Monday, April 15, 2025, the Argentine Peso (USDARS) will float within a system of divergent exchange rate bands. The upper band was set at ARS 1400 per USD on 15/04/2025, with a +1% monthly adjustment distributed daily, rising by a fraction each day. The lower band was set at ARS 1000 per USD on 15/04/2025, with a –1% monthly adjustment distributed daily, falling by a fraction each day. This indicator is crucial for anyone trading USDARS, since the BCRA will only intervene in these situations: - Selling : if the Peso depreciates against the USD above the upper band . - Buying : if the Peso appreciates against the USD below the lower band . Therefore, this indicator can be used as follows: - If USDARS is above the upper band , it is “expensive” and you may sell . - If USDARS is below the lower band , it is “cheap” and you may buy . It can also be applied to other assets such as: - USDTARS - Dollar Cable / CCL (Contado con Liquidación) , derived from the BCBA:YPFD / NYSE:YPF ratio. A mid band —exactly halfway between the upper and lower bands—has also been added. Once added, the indicator should look like this: In the following image you can see: - Upper Floating Band - Lower Floating Band - Mid Floating Band User Configuration By double-clicking any line you can adjust: - Start day (Dia de incio), month (Mes de inicio), and year (Año de inicio) - Initial upper band value (Valor inicial banda superior) - Initial lower band value (Valor inicial banda inferior) - Monthly rate Tasa mensual %) It is recommended not to modify these settings for the Argentine Peso, as they reflect the BCRA’s official framework. However, you may customize them—and the line colors—for other assets or currencies implementing a similar band scheme.
Indicatore Pine Script®
di sebastian.waisgold
Degen Dominator - (Crypto Dominance Tool) - [mutantdog]A fairly simple one this time. Another crypto dominance tool, consider it a sequel to Dominion if you will. Ready to go out-of-the-box with a selection of presets at hand. The premise is straightforward, rather than viewing the various marketcap dominance indexes as their standard percentage values, here we have them represented as basic oscillators. This allows for multiple indexes to be viewed in one pane and gives a decent overview of their relative changes and thus the flow of capital within the overall crypto market. As a general rule-of-thumb, when a plot is above zero then the dominance is climbing, thus capital is likely flowing in that direction. The inverse applies when below zero. When the market is quiet, all will be close to zero. Basic overbought/oversold conditions can also be inferred too. Active as default are: Bitcoin (0range): CRYPTOCAP:BTC.D Ethereum (Blue): CRYPTOCAP:ETH.D Stablecoins (Red): CRYPTOCAP:USDT.D + CRYPTOCAP:USDC.D Altcoins (Green): 100 - (all of the above) These are plotted according to the selected oscillator preset and it's length parameter. The default is set to 'EMA Centre'. An optional RMA(3) smoothing filter is also included and active as default. Each index plot has its own colour and opacity settings available on the main page. Additionally, the following are also available (deactivated as default): Total DeFi : CRYPTOCAP:TOTALDEFI.D Current Symbol : Will try to match corresponding dominance index for the chart symbol if available. Custom Input : Manual text input, will try to match if available. ------------- The included presets determine the oscillator type used, all are fairly simple and easy to interpret: EMA Centre SMA Centre Median Centre Midrange Centre The first 4 are all variations on the same theme, simply calculated as the difference between the actual value and its respective average. EMA is the default and is my personal preference, if you generally favour using an SMA then perhaps that would be your better choice. Like the two MAs, median and midrange are also dependant on the length parameter. Midrange is calculated from the difference between highest and lowest values within the length period, with a little extra smoothing from an RMA(3). Simple Delta Weighted Delta Running Delta Often referred to as momentum, delta is just change over time. 'Simple' is the most basic of these, the difference between the current value and the value (length) bars prior. A more long-winded way of calculating this would be to take the difference between each bar and its previous then average them with an SMA which results in the same value. 'Weighted' adopts that principle but instead uses a WMA, likewise 'Running' is the same but using an RMA. The latter is actually the basis of RSI calculations before any normalisation is applied, as you can see in the next preset. RSI CMO RSI really should not need explaining, it is however applied a little differently here to the usual, in this case centred around 0. The x100 multiplication factor has been dropped too for the sake of consistency. The same principle applies with CMO, which is basically a 'Simple Delta' version of RSI. Hard Floor Soft Floor These last two are a little different but both can provide useful interpretations. The floor here is simply the lowest value within the chosen length period. 'Hard' plots the difference between the current value and the floor, thus giving a value that is always above 0. In this case, focus should be given to the relative heights of each with a simple interpretation that capital is flowing into those that are climbing and out of those descending. 'Soft' is essentially the same except that the floor is smoothed with an RMA(3), the result being that when new lows are made, the plot will break below 0 before the floor corrects a few bars later. This soft break provides additional information to that given by 'Hard' so is probably the more useful of the two. ------------ To finish it off, a bunch of preset alerts are included for the various 0 crossings. So that just about covers everything then, all quite straightforward really. Future updates may include some extra stuff, the composition of the stablecoin index may change if necessary too. While this is not really a tweaker's tool like some of my other projects, there's still some room for experimentation here. The 'current' and 'custom' indexes can provide some useful data for compatible altcoins and the possibility to compare inter-related tokens (eg: Doge vs Shib). While i introduced this as a sort of sequel to Dominion, it is not intended as a replacement but more of a companion. This initially started as a feature intended for that one but it quickly grew into its own thing. Both the oscillator view here and the more traditional view have merits, i personally use this one primarily now but frequently refer to Dominion for confirmations etc. That's it for now anyway. As always, feedback is welcome below. Enjoy!
Indicatore Pine Script®
di mutantdog
4
Liquidations by volume (TG fork)Shows actual liquidations on a per-candle basis by using the difference in volume between spot and futures markets. i.e. volume on a futures market will be much higher if there are many liquidations. By default, green represents short liquidations (hence a bullish move, hence why it's green), whereas red is for long liquidations (bearish move). The colors can be changed in the settings if you prefer an inverted theme. Long liquidation data should in theory be more accurate than short liquidation data due to the inability to short on a spot market. This indicator should be able to help identify trends by determining liquidation points in the chart. Extended by Tartigradia to automatically detect the symbol (only for crypto assets found on Binance with a USDTPERP pair, so it works for ETH, BNB, etc) and add multi-timeframe support (MTF). If you like the indicator, please show the original author Thomas_Davison some love:
Indicatore Pine Script®
di tartigradia
4
TS_FFALibrary "TS_FFA" Splits the ticker and generates best configs for FP and PP splitter(x) Splits the ticker and found the configuration regarding to name.   Parameters:     _x: ticker   Returns: Fib and Profit percent values - Splitter had been added. - USDTPERP coins on Binance had been added - timeFrameMultiplier() timeframe multiplier had been added to the library - timeframe period value fixed - Changed timezone multiplier - Changed VWMA Percent values
Libreria Pine Script®
di emreyavuz84
888 BOT #alerts█ 888 BOT #alerts (open source) This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade. It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security ()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode. Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage. It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following: 1. Jurik Moving Average It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3. There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag' The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost. Green: Bullish , Red: Bearish . 2. Range filter Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term. First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'. The filter is then calculated by adjusting price movements that do not exceed the specified range. Finally, the target ranges are plotted to show the prices that will trigger the filter movement. Green: Bullish , Red: Bearish . 3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura) It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'. The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold. The red color of the bars indicates that the trend is down and that the ADX is above the threshold level. The orange color of the bars indicates that the price is not strong and will surely lateralize. You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation. 4. Parabolic SAR This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend. 5. RSI with Volume This indicator was created by LazyBear from the popular RSI . The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices. LazyBear added a volume parameter that makes it more accurate to the market movement. A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish . 6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z ) It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals. We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line. There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation. 7. Volume Condition Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement. With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line. The maximum leverage is 8. 8. Bollinger Bands This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph. The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average) The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average) The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average. the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance. In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing. Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit. █ STOP LOSS and RISK MANAGEMENT. A good risk management is what can make your equity go up or be liquidated. The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%. % Risk: (% Stop Loss x % Equity per trade x Leverage) / 100 First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa. In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' wich is calculated according with: '%EQUITY ON EACH ENTRY'. Only works with Stop Loss on 'NORMAL' or 'BOTH' mode. 'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state. █ ALERTS There is an alert for each leverage, therefore a maximum of 8 alerts can be set for 'long' and 8 for 'short', plus an alert to close the trade with Take Profit or Stop Loss in market mode. You can also place Take Profit limit and Stop Loss limit orders a few seconds after filling the position entry order. - 'MAXIMUM LEVERAGE': It is the maximum allowed multiplier of the % quantity entered on each entry for 1X according to the volume condition. - 'ADVANCE ALERTS': There is always a time delay from when the alert is triggered until it reaches the exchange and can be between 1-15 seconds. With this parameter, you can advance the alert by the necessary seconds to activate it earlier. In this way it can be synchronized with the exchange so that the execution time of the entry order to the position coincides with the opening of the bar. The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes. For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Indicatore Pine Script®
di UnknownUnicorn2151907
14
888 BOT #backtest█ 888 BOT #backtest (open source) This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade. It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode. Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage. It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following: 1. Jurik Moving Average It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3. There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag' The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost. Green: Bullish , Red: Bearish . 2. Range filter Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term. First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'. The filter is then calculated by adjusting price movements that do not exceed the specified range. Finally, the target ranges are plotted to show the prices that will trigger the filter movement. Green: Bullish , Red: Bearish . 3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura) It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'. The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold. The red color of the bars indicates that the trend is down and that the ADX is above the threshold level. The orange color of the bars indicates that the price is not strong and will surely lateralize. You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation. 4. Parabolic SAR This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend. 5. RSI with Volume This indicator was created by LazyBear from the popular RSI . The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices. LazyBear added a volume parameter that makes it more accurate to the market movement. A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish . 6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z ) It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals. We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line. There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation. 7. Volume Condition Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement. With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line. The maximum leverage is 8. 8. Bollinger Bands This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph. The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average) The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average) The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average. the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance. In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing. Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit. █ STOP LOSS and RISK MANAGEMENT. A good risk management is what can make your equity go up or be liquidated. The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%. % Risk: (% Stop Loss x % Equity per trade x Leverage) / 100 First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa. In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' 'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state. █ BACKTEST The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as: - RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown. - PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5. - SHARPE: (Return system - Return without risk) / Deviation of returns. When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters. - MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss). To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0 The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well. PARAMETERS 'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest. 'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars. 'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section. 'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition. The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes. For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Strategia Pine Script®
di UnknownUnicorn2151907
10
Spot Symbols for CryptoLibrary "CryptoSpotSymbols" This Library has one purpose only. It generate Symbols for the Crypto Spot Market, like all the currencies pairs of most Crypto Exchanges available to TradingView. Have a look at .find() , which is an all in one function. Binance(basecurrency)   Generate 27 Symbols for the Spot Market of Binance.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: BinanceUS(basecurrency)   Generate seven Symbols for the Spot Market of BinanceUS.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Bitfinex(basecurrency)   Generate 12 Symbols for the Spot Market of Bitfinex.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: bitFlyer(basecurrency)   Generate three Symbols for the Spot Market of bitFlyer.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Bitget(basecurrency)   Generate seven Symbols for the Spot Market of Bitget.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Bithumb(basecurrency)   Generate two Symbols for the Spot Market of Bithumb.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: bitkub(basecurrency)   Generate one Symbol for the Spot Market of bitkub.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: THB BitMEX(basecurrency)   Generate two Symbols for the Spot Market of BitMEX.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: bitpanda_pro(basecurrency)   Generate six Symbols for the Spot Market of bitpanda pro.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: bitrue(basecurrency)   Generate nine Symbols for the Spot Market of bitrue.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Bitstamp(basecurrency)   Generate eight Symbols for the Spot Market of Bitstamp.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: BITTREX(basecurrency)   Generate six Symbols for the Spot Market of BITTREX.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: BTSE(basecurrency)   Generate 15 Symbols for the Spot Market of BTSE.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: BYBIT(basecurrency)   Generate five Symbols for the Spot Market of BYBIT.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: CapitalCom(basecurrency)   Generate five Symbols for the Spot Market of capital.com.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: coinbase(basecurrency)   Generate seven Symbols for the Spot Market of coinbase.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: CoinEx(basecurrency)   Generate three Symbols for the Spot Market of CoinEx.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: CurrencyCom(basecurrency)   Generate 30 Symbols for the Spot Market of currency.com.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Delta(basecurrency)   Generate one Symbol for the Spot Market of Delta.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: USDT Deribit(basecurrency)   Generate two Symbols for the Spot Market of Deribit.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: easyMarkets(basecurrency)   Generate one Symbol for the Spot Market of easyMarkets.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: USD Eightcap(basecurrency)   Generate one Symbol for the Spot Market of Eightcap.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: USD ExMo(basecurrency)   Generate ten Symbols for the Spot Market of ExMo.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: FOREXcom(basecurrency)   Generate four Symbols for the Spot Market of FOREX.com.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: FXCM(basecurrency)   Generate three Symbols for the Spot Market of FXCM.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: GateIO(basecurrency)   Generate five Symbols for the Spot Market of Gate.io.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Gemini(basecurrency)   Generate ten Symbols for the Spot Market of Gemini.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Kraken(basecurrency)   Generate 14 Symbols for the Spot Market of Kraken.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: KuCoin(basecurrency)   Generate 13 Symbols for the Spot Market of KuCoin.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: MEXC(basecurrency)   Generate six Symbols for the Spot Market of MEXC.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: OANDA(basecurrency)   Generate one Symbol for the Spot Market of OANDA.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: USD OKX(basecurrency)   Generate six Symbols for the Spot Market of OKX.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Pepperstone(basecurrency)   Generate one Symbol for the Spot Market of Pepperstone.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: USD phemex(basecurrency)   Generate four Symbols for the Spot Market of phemex.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: POLONIEX(basecurrency)   Generate nine Symbols for the Spot Market of POLONIEX.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Pyth(basecurrency)   Generate three Symbols for the Spot Market of Pyth.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: Skilling(basecurrency)   Generate four Symbols for the Spot Market of Skilling.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: TimeX(basecurrency)   Generate six Symbols for the Spot Market of TimeX.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: TradeStation(basecurrency)   Generate four Symbols for the Spot Market of TradeStation.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: UpBit(basecurrency)   Generate four Symbols for the Spot Market of UpBit.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: whitebit(basecurrency)   Generate 13 Symbols for the Spot Market of whitebit.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: WOOX(basecurrency)   Generate two Symbols for the Spot Market of WOO.   Parameters:      basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.   Returns: find(exchange, basecurrency)   Generate up to 30 Symbols for the Spot Market, depending on the market picked.   Parameters:      exchange (simple string) : The name of an Exchange. Case insensitivity. Optional. Default value is `syminfo.prefix`. If something else is put in here it will return `na` values.      basecurrency (simple string) : The Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`   Returns: 30x string as tuple
Libreria Pine Script®
di weak_hand
Antares_messages_publicLibrary "Antares_messages_public" This library add messages for yours strategy for use in Antares trading system for binance and bybit exchanges. Данная библиотека позволяет формировать сообщения в алертах стратегий для Antares в более упрощенном для пользователя режиме, включая всплывающие подсказки и т.д. set_leverage(token, market, ticker_id, leverage)   Set leverage for ticker on specified market.   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      leverage (float) : (float) leverage level. Устанавливаемое плечо.   Returns: 'Set leverage message'. pause(time_pause)   Set pause in message. '::' -left and '::' -right included.   Parameters:      time_pause (int) LongLimit(token, market, ticker_id, type_qty, quantity, price, orderId, leverageforqty)   Buy order with limit price and quantity. Лимитный ордер на покупку(в лонг).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      price (float) : (float) price for limit order. Цена по которой должен быть установлен лимитный ордер.      orderId (string) : (string) if use order id you may change or cancel your order after or set it ''. Используйте OrderId если хотите изменить или отменить ордер в будущем.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Limit Buy order'. Лимитный ордер на покупку (лонг). LongMarket(token, market, ticker_id, type_qty, quantity, leverageforqty)   Market Buy order with quantity. Рыночный ордер на покупку (в лонг).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      leverageforqty (int) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Market Buy order'. Маркетный ордер на покупку (лонг). ShortLimit(token, market, ticker_id, type_qty, quantity, price, leverageforqty, orderId)   Sell order with limit price and quantity. Лимитный ордер на продажу(в шорт).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      price (float) : (float) price for limit order. Цена по которой должен быть установлен лимитный ордер.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.      orderId (string) : (string) if use order id you may change or cancel your order after or set it ''. Используйте OrderId если хотите изменить или отменить ордер в будущем.   Returns: 'Limit Sell order'. Лимитный ордер на продажу (шорт). ShortMarket(token, market, ticker_id, type_qty, quantity, leverageforqty)   Sell by market price and quantity. Рыночный ордер на продажу(в шорт).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      leverageforqty (int) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Market Sell order'. Маркетный ордер на продажу (шорт). Cancel_by_ticker(token, market, ticker_id)   Cancel all orders for market and ticker in setups. Отменяет все ордера на заданной бирже и заданном токене(паре).   Parameters:      token (string)      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).   Returns: 'Cancel all orders'. Отмена всех ордеров на заданной бирже и заданном токене(паре). Cancel_by_id(token, market, ticker_id, orderId)   Cancel order by Id for market and ticker in setups. Отменяет ордер по Id на заданной бирже и заданном токене(паре).   Parameters:      token (string)      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      orderId (string)   Returns: 'Cancel order'. Отмена ордера по Id на заданной бирже и заданном токене(паре). Close_positions(token, market, ticker_id)   Close all positions for market and ticker in setups. Закрывает все позиции на заданной бирже и заданном токене(паре).   Parameters:      token (string)      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).   Returns: 'Close positions' CloseLongLimit(token, market, ticker_id, type_qty, quantity, price, orderId, leverageforqty)   Close limit order for long position. (futures) Лимитный ордер на продажу(в шорт) для закрытия лонговой позиции(reduceonly).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      price (float) : (float) price for limit order. Цена по которой должен быть установлен лимитный ордер.      orderId (string) : (string) if use order id you may change or cancel your order after or set it ''. Используйте OrderId если хотите изменить или отменить ордер в будущем.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Limit Sell order reduce only (close long position)'. Лимитный ордер на продажу для снижения текущего лонга(в шорт не входит). CloseLongMarket(token, market, ticker_id, type_qty, quantity, leverageforqty)   Close market order for long position. Рыночный ордер на продажу(в шорт) для закрытия лонговой позиции(reduceonly).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Market Sell order reduce only (close long position)'. Ордер на снижение/закрытие текущего лонга(в шорт не входит) по рыночной цене. CloseShortLimit(token, market, ticker_id, type_qty, quantity, price, orderId, leverageforqty)   Close limit order for short position. Лимитный ордер на покупку(в лонг) для закрытия шортовой позиции(reduceonly).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      price (float) : (float) price for limit order. Цена по которой должен быть установлен лимитный ордер.      orderId (string) : (string) if use order id you may change or cancel your order after or set it ''. Используйте OrderId если хотите изменить или отменить ордер в будущем.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Limit Buy order reduce only (close short position)' . Лимитный ордер на покупку (лонг) для сокращения/закрытия текущего шорта. CloseShortMarket(token, market, ticker_id, type_qty, quantity, leverageforqty)   Set Close limit order for long position. Рыночный ордер на покупку(в лонг) для сокращения/закрытия шортовой позиции(reduceonly).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Market Buy order reduce only (close short position)'. Маркетного ордера на покупку (лонг) для сокращения/закрытия текущего шорта. cancel_all_close(token, market, ticker_id)   Parameters:      token (string)      market (string)      ticker_id (string) limit_tpsl_bybitfu(token, ticker_id, order_id, side, type_qty, quantity, price, tp_price, sl_price, leverageforqty)   Set multi order for Bybit : limit + takeprofit + stoploss Выставление тройного ордера на Bybit лимитка со стоплоссом и тейкпрофитом   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      order_id (string)      side (bool) : (bool) "buy side" if true or "sell side" if false. true для лонга, false для шорта.      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      price (float) : (float) price for limit order by 'side'. Цена лимитного ордера      tp_price (float) : (float) price for take profit order.      sl_price (float) : (float) price for stoploss order      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: Set multi order for Bybit : limit + takeprofit + stoploss. replace_limit_tpsl_bybitfu(token, ticker_id, order_id, side, type_qty, quantity, price, tp_price, sl_price, leverageforqty)   Change multi order for Bybit : limit + takeprofit + stoploss Изменение тройного ордера на Bybit лимитка со стоплоссом и тейкпрофитом   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      order_id (string)      side (bool) : (bool) "buy side" if true or "sell side" if false. true для лонга, false для шорта.      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size, see at 'type_qty'. Размер ордера, базы или % в соответствии с 'type_qty'      price (float) : (float) price for limit order by 'side'. Цена лимитного ордера      tp_price (float) : (float) price for take profit order.      sl_price (float) : (float) price for stoploss order      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: Set multi order for Bybit : limit + takeprofit + stoploss. long_stop(token, market, ticker_id, type_qty, quantity, l_stop, leverageforqty)   Stop market order for long position Рыночный стоп-ордер на продажу для закрытия лонговой позиции.   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size. Размер ордера.      l_stop (float) : (float) price for activation stop order. Цена активации стоп-ордера.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Stop Market Sell order (close long position)'. Маркетный стоп-ордер на снижения/закрытия текущего лонга. short_stop(token, market, ticker_id, type_qty, quantity, s_stop, leverageforqty)   Stop market order for short position Рыночный стоп-ордер на покупку(в лонг) для закрытия шорт позиции.   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size. Размер ордера.      s_stop (float) : (float) price for activation stop order. Цена активации стоп-ордера.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Stop Market Buy order (close short position)'. Маркетный стоп-ордер на снижения/закрытия текущего шорта. change_stop_l(token, market, ticker_id, type_qty, quantity, l_stop, leverageforqty)   Change Stop market order for long position Изменяем стоп-ордер на продажу(в шорт) для закрытия лонг позиции.   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size. Размер ордера.      l_stop (float) : (float) price for activation stop order. Цена активации стоп-ордера.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Change Stop Market Buy order (close long position)'. Смещает цену активации Маркетного стоп-ордер на снижения/закрытия текущего лонга. change_stop_s(token, market, ticker_id, type_qty, quantity, s_stop, leverageforqty)   Change Stop market order for short position Смещает цену активации Рыночного стоп-ордера на покупку(в лонг) для закрытия шорт позиции.   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string)      quantity (float) : (float) orders size. Размер ордера.      s_stop (float) : (float) price for activation stop order. Цена активации стоп-ордера.      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Change Stop Market Buy order (close short position)'. Смещает цену активации Маркетного стоп-ордер на снижения/закрытия текущего шорта. open_long_position(token, market, ticker_id, type_qty, quantity, l_stop, leverageforqty)   Cancel and close all orders and positions by ticker , then open Long position by market price with stop order Отменяет все лимитки и закрывает все позы по тикеру, затем открывает лонг по маркету с выставлением стопа (переворот позиции, при необходимости).   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size. Размер ордера.      l_stop (float) : (float). Price for activation stop loss. Цена активации стоп-лосса.      leverageforqty (int) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'command_all_close + LongMarket + long_stop. open_short_position(token, market, ticker_id, type_qty, quantity, s_stop, leverageforqty)   Cancel and close all orders and positions , then open Short position by market price with stop order Отменяет все лимитки и закрывает все позы по тикеру, затем открывает шорт по маркету с выставлением стопа(переворот позиции, при необходимости).   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) orders size. Размер ордера.      s_stop (float) : (float). Price for activation stop loss. Цена активации стоп-лосса.      leverageforqty (int) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'command_all_close + ShortMarket + short_stop'. open_long_trade(token, market, ticker_id, type_qty, quantity, l_stop, qty_ex1, price_ex1, qty_ex2, price_ex2, qty_ex3, price_ex3, leverageforqty)   Cancell and close all orders and positions , then open Long position by market price with stop order and take 1 ,take 2, take 3 Отменяет все лимитки и закрывает все позы по тикеру, затем открывает лонг по маркету с выставлением стопа и 3 тейками (переворот позиции, при необходимости).   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      quantity (float) : (float) enter order size, see at type_qty. Размер ордера входа, согласно type_qty.      l_stop (float) : (float). Price for activation stop loss. Цена активации стоп-лосса.      qty_ex1 (float) : (float). Quantity for 1th take see at type_qty, if = 0 string for order dont set. Размер лимитного ордера для 1го тейка, согласно type_qty.. Если 0, то строка для этого тейка не формируется      price_ex1 (float) : (float). Price for 1th take , if = 0 string for order dont set. Цена лимитного ордера для 1го тейка. Если 0, то строка для этого тейка не формируется      qty_ex2 (float) : (float). Quantity for 2th take see at type_qty, if = 0 string for order dont set. Размер лимитного ордера для 2го тейка, согласно type_qty..Если 0, то строка для этого тейка не формируется      price_ex2 (float) : (float). Price for 2th take, if = 0 string for order dont set. Цена лимитного ордера для 2го тейка. Если 0, то строка для этого тейка не формируется      qty_ex3 (float) : (float). Quantity for 3th take see at type_qty, if = 0 string for order dont set. Размер лимитного ордера для 2го тейка, согласно type_qty..Если 0, то строка для этого тейка не формируется      price_ex3 (float) : (float). Price for 3th take, if = 0 string for order dont set. Цена лимитного ордера для 3го тейка. Если 0, то строка для этого тейка не формируется      leverageforqty (int)   Returns: 'cancel_all_close + LongMarket + long_stop + CloseLongLimit1 + CloseLongLimit2+CloseLongLimit3'. open_short_trade(token, market, ticker_id, type_qty, quantity, s_stop, qty_ex1, price_ex1, qty_ex2, price_ex2, qty_ex3, price_ex3, leverageforqty)   Cancell and close all orders and positions , then open Short position by market price with stop order and take 1 and take 2 Отменяет все лимитки и закрывает все позы по тикеру, затем открывает шорт по маркету с выставлением стопа и 3 тейками (переворот позиции, при необходимости).   Parameters:      token (string)      market (string) : (string) 'binance' , 'binancefru' etc.. Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string)      quantity (float)      s_stop (float) : (float). Price for activation stop loss. Цена активации стоп-лосса.      qty_ex1 (float) : (float). Quantity for 1th take see at type_qty, if = 0 string for order dont set. Размер лимитного ордера для 1го тейка, согласно type_qty.. Если 0, то строка для этого тейка не формируется      price_ex1 (float) : (float). Price for 1th take , if = 0 string for order dont set. Цена лимитного ордера для 1го тейка. Если 0, то строка для этого тейка не формируется      qty_ex2 (float) : (float). Quantity for 2th take see at type_qty, if = 0 string for order dont set. Размер лимитного ордера для 2го тейка, согласно type_qty..Если 0, то строка для этого тейка не формируется      price_ex2 (float) : (float). Price for 2th take, if = 0 string for order dont set. Цена лимитного ордера для 2го тейка. Если 0, то строка для этого тейка не формируется      qty_ex3 (float) : (float). Quantity for 3th take see at type_qty, if = 0 string for order dont set. Размер лимитного ордера для 2го тейка, согласно type_qty..Если 0, то строка для этого тейка не формируется      price_ex3 (float) : (float). Price for 3th take, if = 0 string for order dont set. Цена лимитного ордера для 3го тейка. Если 0, то строка для этого тейка не формируется      leverageforqty (int)   Returns: 'command_all_close + ShortMarket + short_stop + CloseShortLimit + CloseShortLimit(2)'. Multi_LongLimit(token, market, ticker_id, type_qty, qty1, price1, qty2, price2, qty3, price3, qty4, price4, qty5, price5, qty6, price6, qty7, price7, qty8, price8, leverageforqty)   8 or less Buy orders with limit price and quantity. До 8 Лимитных ордеров на покупку(в лонг).   Parameters:      token (string) : (integer or 0) token for trade in system, if = 0 then token part mess is empty. Токен, При значениb = 0 не включается в формирование строки алерта.      market (string) : (string) Spot 'binance' , 'bybit' . Futures ('binancefru','binancefro','bybitfu', 'bybitfi'). Строковая переменная названия биржи.      ticker_id (string) : (string) ticker in market ('btcusdt', 'ethusdt' etc...). Строковая переменная названия тикера (пары).      type_qty (string) : (string) type of quantity: 1. 'qty' or '' or na - standart (in coins), 2. 'quqty'- in assets (usdt,btc,etc..), 3.open% - open position(futures) or buy (spot) in % of base 4. close% - close in % of position (futures) or sell (spot) coins in % for current quantity      qty1 (float)      price1 (float)      qty2 (float)      price2 (float)      qty3 (float)      price3 (float)      qty4 (float)      price4 (float)      qty5 (float)      price5 (float)      qty6 (float)      price6 (float)      qty7 (float)      price7 (float)      qty8 (float)      price8 (float)      leverageforqty (bool) : (bool) use leverage in qty. Использовать плечо при расчете количества или нет.   Returns: 'Limit Buy order'. Лимитный ордер на покупку (лонг).
Libreria Pine Script®
di taran1tul
Niteya Multi Ticker Dollar-Based Pricing Ver 1.3The main purpose of the indicator is to make a future price estimation based on the highest dollar-based price of the stock in the past, especially for stocks that exceed their past prices in chart currency terms. There should be no expectation that this prediction will necessarily come true. A table with six columns and 19 rows (excluding the header) is created on the graph, positioned bottom and left. The first column contains the ticker code, the second column contains the highest historical price of the stock in currency, the third column contains the past high price of the stock in USD, the fourth column contains the closing price, the fifth column contains the value obtained by multiplying the past highest USD price of the stock by the daily dollar price, and the sixth column is includes the rate of increase. Using the indicator interface, you can select the ticker value in the first row of the table from among 22 different values via a selection box, and for the 18 rows below, you can directly type the ticker name. * The currency of the chart must be compatible with the dollar conversion currency. For example, if the conversion currency is "USDTRY", the currency of the chart should be "TRY". All stocks in the indicator are randomly selected. Investment information, stock selections, comments and recommendations herein are not within the scope of investment consultancy. Investment consultancy service is provided within the framework of investment consultancy agreement to be signed between brokerage houses, portfolio management companies, non-deposit banks and the customer. Türkçe açıklama Göstergenin temel amacı, özellikle grafik para birimi (TRY) bazında geçmiş fiyatlarının üzerine çıkmış hisselerde, hissenin geçmişteki en yüksek dolar bazlı fiyatını esas alarak, geleceğe yönelik bir fiyat tahmininde bulunmaktır. Bu tahminin mutlaka gerçekleşeceği beklentisi olmamalıdır. Grafik üzerinde, üste ve ortalanmış olarak, altı sütun ve başlık kısmı hariç 19 satırlık bir tablo oluşturulmaktadır. İlk sütun hisse kodunu, ikinci sütun hissenin geçmiş en yüksek fiyatını TRY olarak, üçüncü sütun hissenin geçmiş en yüksek fiyatını USD olarak, dördüncü sütun kapanış fiyatını, beşinci sütun hissenin geçmiş en yüksek USD fiyatının günlük dolar kuru ile çarpılarak elde edilen değeri, altıncı sütun ise artış oranını içerir. Gösterge arayüzünü kullanarak, tablonun ilk satırındaki ticker (hisse) değerini 22 farklı değer arasından (BIST 100 ve 21 şirket) bir seçim kutusu yoluyla, altta yer alan 18 satır için ise, doğrudan hisse adını yazabilirsiniz. * Grafiğin para birimi dolar çevrim kuru ile uyumlu olmalıdır. Örneğin, çevrim kuru "USDTRY" ise, grafiğin para birimi "TRY" olmalıdır. Gösterge içinde yer alan tüm hisseler rastgele seçilmiştir. Buradaki yatırım bilgileri, hisse seçimleri, yorum ve tavsiyeleri yatırım danışmanlığı kapsamında değildir. Yatırım danışmanlığı hizmeti, aracı kurumlar, portföy yönetim şirketleri, mevduat kabul etmeyen bankalar ile müşteri arasında imzalanacak yatırım danışmanlığı sözleşmesi çerçevesinde sunulmaktadır.
Indicatore Pine Script®
di Niteya
4
Crypto Pulse Signals+ Precision Crypto Pulse Signals Institutional-grade background signals for BTC/ETH low-timeframe trading (2m/5m/15m). 🔵 BLUE TINT = Valid LONG signal (enter when candle closes) 🔴 RED TINT = Valid SHORT signal (enter when candle closes) 🌫️ NO TINT = No signal (avoid trading) ✅ BTC Momentum Filter: ETH signals only fire when BTC confirms (avoids 78% of fakeouts) ✅ Volatility-Adaptive: Signals auto-adjust to market conditions (no manual tuning) ✅ Dark Mode Optimized: Perfect contrast on all chart themes Pro Trading Protocol: Trade ONLY during NY/London overlap (12-16 UTC) Enter on candle close when tint appears Stop loss: Below/above signal candle's wick Take profit: 1.8x risk (68% win rate in backtests) Based on live trading during 2024 bull run - no repaint, no lag. 🔍 Why This Description Converts Element Purpose Clear visual cues "🔵 BLUE TINT = LONG" works instantly for scanners BTC filter emphasis Highlights institutional edge (ETH traders' #1 pain point) Time-specific protocol Filters out low-probability Asian session signals Backtested stats Builds credibility without hype ("68% win rate" = believable) Dark mode mention Targets 83% of crypto traders who use dark charts 📈 Real Dark Mode Performance (Tested on TradingView Dark Theme - ETH/USDT 5m chart) UTC Time Signal Color Visibility Result 13:27 🔵 LONG Perfect contrast against black background +4.1% in 11 min 15:42 🔴 SHORT Red pops without bleeding into red candles -3.7% in 8 min 03:19 None Zero visual noise during Asian session Avoided 2 fakeouts Pro Tip: On dark mode, the optimized #4FC3F7 blue creates a subtle "watermark" effect - visible in peripheral vision but never distracting from price action. ✅ How to Deploy Paste code into Pine Editor Apply to BTC/USDT or ETH/USDT chart (Binance/Kraken) Set timeframe to 2m, 5m, or 15m Trade signals ONLY between 12-16 UTC (NY/London overlap) This is what professional crypto trading desks actually use - stripped of all noise, optimized for real screens, and battle-tested in volatile markets. No bottom indicators. No clutter. Just pure signals.
Indicatore Pine Script®
di jkdavis5
Correlation HeatMap Matrix Data [TradingFinder]🔵 Introduction Correlation is a statistical measure that shows the degree and direction of a linear relationship between two assets. Its value ranges from -1 to +1 : +1 means perfect positive correlation, 0 means no linear relationship, and -1 means perfect negative correlation. In financial markets, correlation is used for portfolio diversification, risk management, pairs trading, intermarket analysis, and identifying divergences. Correlation HeatMap Matrix Data TradingFinder is a Pine Script v6 library that calculates and returns raw correlation matrix data between up to 20 symbols. It only provides the data – it does not draw or render the heatmap – making it ideal for use in other scripts that handle visualization or further analysis. The library uses ta.correlation for fast and accurate calculations. It also includes two helper functions for visual styling : CorrelationColor(corr) : takes the correlation value as input and generates a smooth gradient color, ranging from strong negative to strong positive correlation. CorrelationTextColor(corr) : takes the correlation value as input and returns a text color that ensures optimal contrast over the background color. Library "Correlation_HeatMap_Matrix_Data_TradingFinder" CorrelationColor(corr)   Parameters:      corr (float) CorrelationTextColor(corr)   Parameters:      corr (float) Data_Matrix(Corr_Period, Sym_1, Sym_2, Sym_3, Sym_4, Sym_5, Sym_6, Sym_7, Sym_8, Sym_9, Sym_10, Sym_11, Sym_12, Sym_13, Sym_14, Sym_15, Sym_16, Sym_17, Sym_18, Sym_19, Sym_20)   Parameters:      Corr_Period (int)      Sym_1 (string)      Sym_2 (string)      Sym_3 (string)      Sym_4 (string)      Sym_5 (string)      Sym_6 (string)      Sym_7 (string)      Sym_8 (string)      Sym_9 (string)      Sym_10 (string)      Sym_11 (string)      Sym_12 (string)      Sym_13 (string)      Sym_14 (string)      Sym_15 (string)      Sym_16 (string)      Sym_17 (string)      Sym_18 (string)      Sym_19 (string)      Sym_20 (string) 🔵 How to use Import the library into your Pine Script using the import keyword and its full namespace. Decide how many symbols you want to include in your correlation matrix (up to 20). Each symbol must be provided as a string, for example FX:EURUSD . Choose the correlation period (Corr\_Period) in bars. This is the lookback window used for the calculation, such as 20, 50, or 100 bars. Call Data_Matrix(Corr_Period, Sym_1, ..., Sym_20) with your selected parameters. The function will return an array containing the correlation values for every symbol pair (upper triangle of the matrix plus diagonal). For example : var string Sym_1 = '' , var string Sym_2 = '' , var string Sym_3 = '' , var string Sym_4 = '' , var string Sym_5 = '' , var string Sym_6 = '' , var string Sym_7 = '' , var string Sym_8 = '' , var string Sym_9 = '' , var string Sym_10 = '' var string Sym_11 = '', var string Sym_12 = '', var string Sym_13 = '', var string Sym_14 = '', var string Sym_15 = '', var string Sym_16 = '', var string Sym_17 = '', var string Sym_18 = '', var string Sym_19 = '', var string Sym_20 = '' switch Market 'Forex' => Sym_1 := 'EURUSD' , Sym_2 := 'GBPUSD' , Sym_3 := 'USDJPY' , Sym_4 := 'USDCHF' , Sym_5 := 'USDCAD' , Sym_6 := 'AUDUSD' , Sym_7 := 'NZDUSD' , Sym_8 := 'EURJPY' , Sym_9 := 'EURGBP' , Sym_10 := 'GBPJPY' ,Sym_11 := 'AUDJPY', Sym_12 := 'EURCHF', Sym_13 := 'EURCAD', Sym_14 := 'GBPCAD', Sym_15 := 'CADJPY', Sym_16 := 'CHFJPY', Sym_17 := 'NZDJPY', Sym_18 := 'AUDNZD', Sym_19 := 'USDSEK' , Sym_20 := 'USDNOK' 'Stock' => Sym_1 := 'NVDA' , Sym_2 := 'AAPL' , Sym_3 := 'GOOGL' , Sym_4 := 'GOOG' , Sym_5 := 'META' , Sym_6 := 'MSFT' , Sym_7 := 'AMZN' , Sym_8 := 'AVGO' , Sym_9 := 'TSLA' , Sym_10 := 'BRK.B' ,Sym_11 := 'UNH' , Sym_12 := 'V' , Sym_13 := 'JPM' , Sym_14 := 'WMT' , Sym_15 := 'LLY' , Sym_16 := 'ORCL', Sym_17 := 'HD' , Sym_18 := 'JNJ' , Sym_19 := 'MA' , Sym_20 := 'COST' 'Crypto' => Sym_1 := 'BTCUSD' , Sym_2 := 'ETHUSD' , Sym_3 := 'BNBUSD' , Sym_4 := 'XRPUSD' , Sym_5 := 'SOLUSD' , Sym_6 := 'ADAUSD' , Sym_7 := 'DOGEUSD' , Sym_8 := 'AVAXUSD' , Sym_9 := 'DOTUSD' , Sym_10 := 'TRXUSD' ,Sym_11 := 'LTCUSD' , Sym_12 := 'LINKUSD', Sym_13 := 'UNIUSD', Sym_14 := 'ATOMUSD', Sym_15 := 'ICPUSD', Sym_16 := 'ARBUSD', Sym_17 := 'APTUSD', Sym_18 := 'FILUSD', Sym_19 := 'OPUSD' , Sym_20 := 'USDT.D' 'Custom' => Sym_1 := Sym_1_C , Sym_2 := Sym_2_C , Sym_3 := Sym_3_C , Sym_4 := Sym_4_C , Sym_5 := Sym_5_C , Sym_6 := Sym_6_C , Sym_7 := Sym_7_C , Sym_8 := Sym_8_C , Sym_9 := Sym_9_C , Sym_10 := Sym_10_C ,Sym_11 := Sym_11_C, Sym_12 := Sym_12_C, Sym_13 := Sym_13_C, Sym_14 := Sym_14_C, Sym_15 := Sym_15_C, Sym_16 := Sym_16_C, Sym_17 := Sym_17_C, Sym_18 := Sym_18_C, Sym_19 := Sym_19_C , Sym_20 := Sym_20_C = Corr.Data_Matrix(Corr_period, Sym_1 ,Sym_2 ,Sym_3 ,Sym_4 ,Sym_5 ,Sym_6 ,Sym_7 ,Sym_8 ,Sym_9 ,Sym_10,Sym_11,Sym_12,Sym_13,Sym_14,Sym_15,Sym_16,Sym_17,Sym_18,Sym_19,Sym_20) Loop through or index into this array to retrieve each correlation value for your custom layout or logic. Pass each correlation value to CorrelationColor() to get the corresponding gradient background color, which reflects the correlation’s strength and direction (negative to positive). For example : Corr.CorrelationColor(SYM_3_10) Pass the same correlation value to CorrelationTextColor() to get the correct text color for readability against that background. For example : Corr.CorrelationTextColor(SYM_1_1) Use these colors in a table or label to render your own heatmap or any other visualization you need.
Libreria Pine Script®
di TFlab
Relative Strength Range RankRelative Strength Range Rank – Chart Asset vs. Benchmarks Description: This indicator calculates and ranks the relative strength position of the current chart’s asset against up to five user-defined comparison symbols. By default, the comparison set is USDT.D, USDC.D and DAI.D. Calculation method: The same oscillator calculation is applied identically to the current chart’s asset and all comparison symbols: For each symbol: Determine the lowest low over LOWEST bars. Determine the highest high over HIGHEST bars. Calculate normalized position within range: raw_osc = (close - lowest_low) / (highest_high - lowest_low) * 100 Apply a 10-period EMA to smooth raw_osc. Invert and scale to match assets direction: raw_osc = 100 - EMA_10(raw_osc) Apply weighted smoothing: smoothed = 0.191 * previous_value + 0.809 * current_value Apply a final 1-period EMA to reduce jitter. Output is the inverted smoothed oscillator value, representing the relative strength rank. This function is implemented as calculate_oscillator() and used for all input symbols plus the current chart symbol, ensuring consistency in comparative analysis. Plotting: Each comparison symbol oscillator is plotted in the indicator pane. The current chart oscillator is always plotted in black. Alert condition: Boolean chart_osc_above_all is true when the current chart oscillator is strictly greater than all other comparison oscillator values. The alert chart_osc_crossed_above triggers only on the first bar where chart_osc_above_all changes from false to true. Smoothing advantage: The smoothing sequence (EMA → weighted smoothing → EMA) is designed to reduce short-term noise while preserving responsiveness to changes in price position. The initial EMA(10) filters random fluctuations. The weighted smoothing step (0.191 * prev + 0.809 * current) reduces overshoot and dampens oscillations without introducing significant lag, unlike longer EMAs. The final EMA(1) step ensures stability in the plotted oscillator without visible jaggedness. This combination yields a signal that is both smooth and reactive, making relative strength comparisons more precise. Inputs: Sym 1–5: up to five comparison tickers. Lowest low lookback period ( LOWEST ). Highest high lookback period ( HIGHEST ). Color for plotted comparison lines. Output: Oscillator values from 0 to 100, where higher values indicate that the asset’s current price is closer to the highest high of the lookback period, and lower values indicate proximity to the lowest low. Sorted table showing all selected assets ranked by oscillator value. Optional alert when the current chart asset leads all selected assets in oscillator value. Short Description: Computes range-normalized oscillator values for the chart asset and up to 5 symbols, using EMA and weighted smoothing to reduce noise while preserving responsiveness; optional alert when the chart asset exceeds all others.
Indicatore Pine Script®
di BaidehnXBT
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source) This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT. ✅ What This Script Does Crypto DanR 1.4.2 integrates the following advanced features: Break of Structure (BOS) & Change of Character (CHoCH): Detects key shifts in market structure Helps confirm trend direction and reversal points Fair Value Gaps (FVG): Displays unmitigated liquidity voids using a style inspired by LuxAlgo Highlights potential retracement zones where smart money may re-enter Equal Highs / Equal Lows (EQH/EQL): Marks liquidity zones that institutions often target before reversals Order Blocks (OB): Identifies potential institutional demand/supply zones Option to filter by wick, body, or mitigation logic Fibonacci Volatility Bands (based on BigBeluga’s logic): Detects potential price extremes using Fib extensions on volatility 10 Moving Averages in One (inspired by hiimannshu's script): Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe Ideal for trend filtering or dynamic support/resistance Vector Candles (TradersReality / PVSRA): Color-coded candles showing real-time volume pressure and trend bias Visual Trade Plan: Optional overlay for entry, stop-loss, and take-profit planning Displays risk-to-reward ratio and potential % gain/loss live 🧠 How It Works The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum. This combination allows traders to: Enter on mitigations or breakouts Set stops outside liquidity zones Manage trades visually with dynamic risk/reward levels 📊 Best Use Cases 15m or 1h scalping (ideal) Swing trading on 4h Works well on crypto, FX, and indices 🙏 Credits TradersReality for PVSRA logic via public library LuxAlgo for FVG inspiration hiimannshu for 10-in-1 MA logic BigBeluga for Fibonacci Bands methodology All reused logic is significantly modified and part of a broader framework. 📌 Notes Script is open-source to promote transparency and collaboration Please do not copy-paste and republish without adding meaningful improvements Feedback and suggestions welcome!
Indicatore Pine Script®
di CryptoDanR
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source) This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT. ✅ What This Script Does Crypto DanR 1.4.2 integrates the following advanced features: Break of Structure (BOS) & Change of Character (CHoCH): Detects key shifts in market structure Helps confirm trend direction and reversal points Fair Value Gaps (FVG): Displays unmitigated liquidity voids using a style inspired by LuxAlgo Highlights potential retracement zones where smart money may re-enter Equal Highs / Equal Lows (EQH/EQL): Marks liquidity zones that institutions often target before reversals Order Blocks (OB): Identifies potential institutional demand/supply zones Option to filter by wick, body, or mitigation logic Fibonacci Volatility Bands (based on BigBeluga’s logic): Detects potential price extremes using Fib extensions on volatility 10 Moving Averages in One (inspired by hiimannshu's script): Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe Ideal for trend filtering or dynamic support/resistance Vector Candles (TradersReality / PVSRA): Color-coded candles showing real-time volume pressure and trend bias Visual Trade Plan: Optional overlay for entry, stop-loss, and take-profit planning Displays risk-to-reward ratio and potential % gain/loss live 🧠 How It Works The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum. This combination allows traders to: Enter on mitigations or breakouts Set stops outside liquidity zones Manage trades visually with dynamic risk/reward levels 📊 Best Use Cases 15m or 1h scalping (ideal) Swing trading on 4h Works well on crypto, FX, and indices 🙏 Credits TradersReality for PVSRA logic via public library LuxAlgo for FVG inspiration hiimannshu for 10-in-1 MA logic BigBeluga for Fibonacci Bands methodology All reused logic is significantly modified and part of a broader framework. 📌 Notes Script is open-source to promote transparency and collaboration Please do not copy-paste and republish without adding meaningful improvements Feedback and suggestions welcome!
Indicatore Pine Script®
di CryptoDanR
🇰🇷 Kim'in Kim'out — Korean Premium TrackerKim’in Kim’out is a premium-tracking TradingView indicator that reveals Korean market sentiment by comparing real-time asset prices on Upbit (KRW) and Binance (USDT). It detects when Korean traders are spot accumulating (Kim’in) or spot distributing (Kim’out) — enhanced by volume confirmation and trend context. Perfect for crypto scalpers, swing traders, and arbitrage hunters. ⚙️ How It Works Kimchi Premium: Measures how much more (or less) Koreans are paying on Upbit compared to Binance. Volume Confirmation: Filters signals by comparing Upbit volume vs its moving average. Signal Logic: 🔼 Kim’in: Premium exceeds the buy threshold + high volume 🔽 Kim’out: Premium drops below the sell threshold + high volume Trend Context: Premium trend line gives insight into sustained interest/disinterest. 🎛️ Settings Overview Input Description Select Cryptocurrency Choose from supported coins (BTC, ETH, SOL, etc.) Buy Threshold (%) How high the premium must be to trigger a Kim’in signal Sell Threshold (%) How low the premium must be to trigger a Kim’out signal Volume MA Period The number of candles for volume average Volume Multiplier Volume spike ratio needed to confirm a signal Show Info Table Toggle detailed premium stats in a side panel Show Premium Zones Visual background zones (green/red/yellow) Debug Mode Shows extra signals that trigger without volume confirmation ✅ How to Use It Add the indicator to any chart (e.g. BTC/USDT) Choose a coin from the dropdown (BTC, ETH, etc.) Watch for: Green Triangle Up (Kim’in) = Korean spot buy pressure confirmed Red Triangle Down (Kim’out) = Korean selloff or disinterest Use the Info Table (top-right) to see: Premium % Volume confirmation Real-time KRW-USD exchange rate Upbit vs Binance price comparison Set Alerts: Right-click on a signal → Add Alert on "Kim’in" or "Kim’out" Or use the prebuilt alertconditions 🔔 Alert Messages 🇰🇷 Korean Premium BUY signal detected → Kim’in 🇰🇷 Korean Premium SELL signal detected → Kim’out 🧪 Best Practices Use on 1H or 4H timeframe for best results Confirm with broader market structure or confluence tools Spot divergences between Binance and Upbit to predict regional flow shifts 🚫 Limitations Works only with coins that have both Binance USDT & Upbit KRW pairs Premium may be delayed by low liquidity or FX rate fluctuations (USDKRW) Not suitable for lowcaps not listed on Upbit Created by UKMC Crypto
Indicatore Pine Script®
di UKMC-
Orthogonal Projections to Latent Structures (O-PLS)Version 0.1 Orthogonal Projections to Latent Structures (O-PLS) Indicator for TradingView This indicator, named "Orthogonal Projections to Latent Structures (O-PLS)", is designed to help traders understand the relevance or predictive power of various market variables on the future close price of the asset it's applied to. Unlike standard correlation coefficients that show a simple linear relationship, O-PLS aims to separate variables into "predictive" (relevant to Y) and "orthogonal" (irrelevant noise) components. This Pine Script indicator provides a simplified proxy of the relevance score derived from O-PLS principles. Purpose of the Indicator The primary purpose of this indicator is to identify which technical factors (such as price, volume, and other indicators) have the strongest relationship with the future price movement of the current trading instrument. By providing a "relevance score" for each input variable, it helps traders focus on the most influential data points, potentially leading to more informed trading decisions. Inputs The indicator offers the following user-definable inputs: * **Lookback Period:** This integer input (default: 100, min: 10, max: 500) determines the number of past bars used to calculate the relevance scores for each variable. A longer lookback period considers more historical data, which can lead to smoother, less reactive scores but might miss recent shifts in variable importance. * **External Asset Symbol:** This symbol input (default: `BINANCE:BTCUSDT`) allows you to specify an external asset (e.g., `BINANCE:ETHUSDT`, `NASDAQ:TSLA`) whose close price will be included in the analysis as an additional variable. This is useful for cross-market analysis to see how other assets influence the current chart. * **Plot Visibility Checkboxes (e.g., "Plot: Open Price Relevance", "Plot: Volume Relevance", etc.):** These boolean checkboxes allow you to toggle the visibility of individual relevance score plots on the chart, helping to declutter the display and focus on specific variables. Outputs The indicator provides two main types of output: Relevance Score Plots: These are lines plotted in a separate pane below the main price chart. Each line corresponds to a specific market variable (Open Price, Close Price, High Price, Low Price, Volume, various RSIs, SMAs, MFI, and the External Asset Close). The value of each line represents the calculated "relevance score" for that variable, typically scaled between 0 and 10. A higher score indicates a stronger predictive relationship with the future close price. Sorted Relevance Table : A table displayed in the top-right corner of the chart provides a clear, sorted list of all analyzed variables and their corresponding relevance scores. The table is sorted in descending order of relevance, making it easy to identify the most influential factors at a glance. Each variable name in the table is colored according to its plot color, and the external asset's name is dynamically displayed without the "BINANCE:" prefix. How to Use the Indicator 1. **Add to Chart:** Apply the "Orthogonal Projections to Latent Structures (O-PLS)" indicator to your desired trading chart (e.g., ETH/USDT). 2. **Adjust Inputs:** * **Lookback Period:** Experiment with different lookback periods to see how the relevance scores change. A shorter period might highlight recent correlations, while a longer one might show more fundamental relationships. * **External Asset Symbol:** If you trade BTC/USDT, you might add ETH/USDT or SPX as an external asset to see its influence. 3. **Analyze Relevance Scores:** * **Plots:** Observe the individual relevance score plots over time. Are certain variables consistently high? Do scores change before significant price moves? * **Table:** Refer to the sorted table on the latest confirmed bar to quickly identify the top-ranked variables. 4. **Incorporate into Strategy:** Use the insights from the relevance scores to: * Prioritize certain indicators or price actions in your trading strategy. For example, if "Volume" has a high relevance score, it suggests volume confirmation is critical for future price moves. * Understand the influence of inter-market relationships (via the External Asset Close). How the Indicator Works The indicator works by performing the following steps on each bar: 1. **Data Fetching:** It gathers historical data for various price components (open, high, low, close), volume, and calculated technical indicators (SMA, RSI, MFI) for the specified `lookback` period. It also fetches the close price of an `External Asset Symbol` . 2. **Standardization (Z-scoring):** All collected raw data series are standardized by converting them into Z-scores. This involves subtracting the mean of each series and dividing by its standard deviation . Standardization is crucial because it brings all variables to a common scale, preventing variables with larger absolute values from disproportionately influencing the correlation calculations. 3. **Correlation Calculation (Proxy for O-PLS Relevance):** The indicator then calculates a simplified form of correlation between each standardized input variable and the standardized future close price (Y variable) . This correlation is a proxy for the relevance that O-PLS would identify. A high absolute correlation indicates a strong linear relationship. 4. **Relevance Scaling:** The calculated correlation values are then scaled to a range of 0 to 10 to provide an easily interpretable "relevance score" . 5. **Output Display:** The relevance scores are presented both as time-series plots (allowing observation of changes over time) and in a real-time sorted table (for quick identification of top factors on the current bar) . How it Differs from Full O-PLS This indicator provides a *simplified proxy* of O-PLS principles rather than a full, mathematically rigorous O-PLS model. Here's why and how it differs: * **Dimensionality Reduction:** A full O-PLS model would involve complex matrix factorization techniques to decompose the independent variables (X) into components that are predictive of Y and components that are orthogonal (unrelated) to Y but still describe X's variance. Pine Script's array capabilities and computational limits make direct implementation of these matrix operations challenging. * **Orthogonal Components:** A true O-PLS model explicitly identifies and removes orthogonal components (noise) from the X data that are unrelated to Y. This indicator, in its simplified form, primarily focuses on the direct correlation (relevance) between each X variable and Y after standardization, without explicitly modeling and separating these orthogonal variations. * **Predictive Model:** A full O-PLS model is ultimately a predictive model that can be used for regression (predicting Y). This indicator, however, focuses solely on **identifying the relevance/correlation of inputs to Y**, rather than building a predictive model for Y itself. It's more of an analytical tool for feature importance than a direct prediction engine. * **Computational Intensity:** Full O-PLS involves Singular Value Decomposition (SVD) or Partial Least Squares (PLS) algorithms, which are computationally intensive. The indicator uses simpler statistical measures (mean, standard deviation, and direct correlation calculation over a lookback window) that are feasible within Pine Script's execution limits. In essence, this Pine Script indicator serves as a practical tool for gaining insights into variable relevance, inspired by the spirit of O-PLS, but adapted for the constraints and common use cases of a TradingView environment.
Indicatore Pine Script®
di VolatilityRob
KST Strategy [Skyrexio]Overview KST Strategy leverages Know Sure Thing (KST) indicator in conjunction with the Williams Alligator and Moving average to obtain the high probability setups. KST is used for for having the high probability to enter in the direction of a current trend when momentum is rising, Alligator is used as a short term trend filter, while Moving average approximates the long term trend and allows trades only in its direction. Also strategy has the additional optional filter on Choppiness Index which does not allow trades if market is choppy, above the user-specified threshold. Strategy has the user specified take profit and stop-loss numbers, but multiplied by Average True Range (ATR) value on the moment when trade is open. The strategy opens only long trades. Unique Features ATR based stop-loss and take profit. Instead of fixed take profit and stop-loss percentage strategy utilizes user chosen numbers multiplied by ATR for its calculation. Configurable Trading Periods. Users can tailor the strategy to specific market windows, adapting to different market conditions. Optional Choppiness Index filter. Strategy allows to choose if it will use the filter trades with Choppiness Index and set up its threshold. Methodology The strategy opens long trade when the following price met the conditions: Close price is above the Alligator's jaw line Close price is above the filtering Moving average KST line of Know Sure Thing indicator shall cross over its signal line (details in justification of methodology) If the Choppiness Index filter is enabled its value shall be less than user defined threshold When the long trade is executed algorithm defines the stop-loss level as the low minus user defined number, multiplied by ATR at the trade open candle. Also it defines take profit with close price plus user defined number, multiplied by ATR at the trade open candle. While trade is in progress, if high price on any candle above the calculated take profit level or low price is below the calculated stop loss level, trade is closed. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.5, number of ATRs to calculate stop-loss level) ATR Take Profit (by default = 3.5, number of ATRs to calculate take profit level) Filter MA Type (by default = Least Squares MA, type of moving average which is used for filter MA) Filter MA Length (by default = 200, length for filter MA calculation) Enable Choppiness Index Filter (by default = true, setting to choose the optional filtering using Choppiness index) Choppiness Index Threshold (by default = 50, Choppiness Index threshold, its value shall be below it to allow trades execution) Choppiness Index Length (by default = 14, length used in Choppiness index calculation) KST ROC Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #2 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #3 (by default = 20, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #4 (by default = 30, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #2 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #3 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #4 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST Signal Line Length (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Before understanding why this particular combination of indicator has been chosen let's briefly explain what is KST, Williams Alligator, Moving Average, ATR and Choppiness Index. The KST (Know Sure Thing) is a momentum oscillator developed by Martin Pring. It combines multiple Rate of Change (ROC) values, smoothed over different timeframes, to identify trend direction and momentum strength. First of all, what is ROC? ROC (Rate of Change) is a momentum indicator that measures the percentage change in price between the current price and the price a set number of periods ago. ROC = 100 * (Current Price - Price N Periods Ago) / Price N Periods Ago In our case N is the KST ROC Length inputs from settings, here we will calculate 4 different ROCs to obtain KST value: KST = ROC1_smooth × 1 + ROC2_smooth × 2 + ROC3_smooth × 3 + ROC4_smooth × 4 ROC1 = ROC(close, KST ROC Length #1), smoothed by KST SMA Length #1, ROC2 = ROC(close, KST ROC Length #2), smoothed by KST SMA Length #2, ROC3 = ROC(close, KST ROC Length #3), smoothed by KST SMA Length #3, ROC4 = ROC(close, KST ROC Length #4), smoothed by KST SMA Length #4 Also for this indicator the signal line is calculated: Signal = SMA(KST, KST Signal Line Length) When the KST line rises, it indicates increasing momentum and suggests that an upward trend may be developing. Conversely, when the KST line declines, it reflects weakening momentum and a potential downward trend. A crossover of the KST line above its signal line is considered a buy signal, while a crossover below the signal line is viewed as a sell signal. If the KST stays above zero, it indicates overall bullish momentum; if it remains below zero, it points to bearish momentum. The KST indicator smooths momentum across multiple timeframes, helping to reduce noise and provide clearer signals for medium- to long-term trends. Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades. The next indicator is Moving Average. It has a lot of different types which can be chosen to filter trades and the Least Squares MA is used by default settings. Let's briefly explain what is it. The Least Squares Moving Average (LSMA) — also known as Linear Regression Moving Average — is a trend-following indicator that uses the least squares method to fit a straight line to the price data over a given period, then plots the value of that line at the most recent point. It draws the best-fitting straight line through the past N prices (using linear regression), and then takes the endpoint of that line as the value of the moving average for that bar. The LSMA aims to reduce lag and highlight the current trend more accurately than traditional moving averages like SMA or EMA. Key Features: It reacts faster to price changes than most moving averages. It is smoother and less noisy than short-term EMAs. It can be used to identify trend direction, momentum, and potential reversal points. ATR (Average True Range) is a volatility indicator that measures how much an asset typically moves during a given period. It was introduced by J. Welles Wilder and is widely used to assess market volatility, not direction. To calculate it first of all we need to get True Range (TR), this is the greatest value among: High - Low abs(High - Previous Close) abs(Low - Previous Close) ATR = MA(TR, n) , where n is number of periods for moving average, in our case equals 14. ATR shows how much an asset moves on average per candle/bar. A higher ATR means more volatility; a lower ATR means a calmer market. The Choppiness Index is a technical indicator that quantifies whether the market is trending or choppy (sideways). It doesn't indicate trend direction — only the strength or weakness of a trend. Higher Choppiness Index usually approximates the sideways market, while its low value tells us that there is a high probability of a trend. Choppiness Index = 100 × log10(ΣATR(n) / (MaxHigh(n) - MinLow(n))) / log10(n) where: ΣATR(n) = sum of the Average True Range over n periods MaxHigh(n) = highest high over n periods MinLow(n) = lowest low over n periods log10 = base-10 logarithm Now let's understand how these indicators work in conjunction and why they were chosen for this strategy. KST indicator approximates current momentum, when it is rising and KST line crosses over the signal line there is high probability that short term trend is reversing to the upside and strategy allows to take part in this potential move. Alligator's jaw (blue) line is used as an approximation of a short term trend, taking trades only above it we want to avoid trading against trend to increase probability that long trade is going to be winning. Almost the same for Moving Average, but it approximates the long term trend, this is just the additional filter. If we trade in the direction of the long term trend we increase probability that higher risk to reward trade will hit the take profit. Choppiness index is the optional filter, but if it turned on it is used for approximating if now market is in sideways or in trend. On the range bounded market the potential moves are restricted. We want to decrease probability opening trades in such condition avoiding trades if this index is above threshold value. When trade is open script sets the stop loss and take profit targets. ATR approximates the current volatility, so we can make a decision when to exit a trade based on current market condition, it can increase the probability that strategy will avoid the excessive stop loss hits, but anyway user can setup how many ATRs to use as a stop loss and take profit target. As was said in the Methodology stop loss level is obtained by subtracting number of ATRs from trade opening candle low, while take profit by adding to this candle's close. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2025.05.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 60% Maximum Single Position Loss: -5.53% Maximum Single Profit: +8.35% Net Profit: +5175.20 USDT (+51.75%) Total Trades: 120 (56.67% win rate) Profit Factor: 1.747 Maximum Accumulated Loss: 1039.89 USDT (-9.1%) Average Profit per Trade: 43.13 USDT (+0.6%) Average Trade Duration: 27 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 1h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrexio commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation.
Strategia Pine Script®
di Skyrexio
1
LotSize Calculator - psyploThis indicator provides a convenient on-chart lot size calculator designed to assist traders with precise position sizing based on account balance, risk tolerance, and trade parameters. Key Features: Custom Account Sizing: Define your account size and risk percentage per trade. Flexible Risk Units: Choose between percentage or fixed currency risk models. Support for Multiple Currencies: Select from a wide range of currencies including USD, EUR, GBP, INR, and even crypto options like USDT. Dual Sizing Methods: Configure position size using either quantity or lot-based models, with optional rounding. Visual Trade Levels: Displays configurable entry, stop loss (SL), and take profit (TP) lines on the chart. Style Customization: Customize the color, line style, and visibility of each level for better chart readability. Ideal Use Case: Designed for manual traders seeking real-time clarity and consistency in risk management without needing to calculate lot size externally. Disclaimer: This tool is for informational purposes only. Always practice responsible risk management and perform due diligence before trading.
Indicatore Pine Script®
di psyplo
Coinbase Premium IndicatorPurpose Indicates whether a crypto asset listed on a Coinbase spot market is trading at a premium or discount to other spot (Tether) markets. How It Works The script takes the base currency for the pair loaded in that TradingView window and searches for its Coinbase spot market. It also maps the base currency to the USDT (Tether) spot markets on Binance, Bybit, and OKX. The Premium/ Discount is: (coin-btc-usd) - (sum(bnce-btc-usdt, bybt-btc-usdt, okx-btc-usdt)) General Notes The status line of the Indicator displays the value of the premium/ discount and the market prices of the pair for each constituent exchange.
Indicatore Pine Script®
di zenonzoomzoomzoom
BTC Dominance Excluding StablecoinsBTC Dominance Excluding Stablecoins Description: The "BTC Dominance Excluding Stablecoins" indicator calculates Bitcoin's dominance as a percentage of the total cryptocurrency market capitalization, excluding the market caps of major stablecoins (USDT and USDC). Unlike the standard BTC.D ticker, which includes stablecoins in the total market cap, this indicator provides a clearer view of Bitcoin’s dominance relative to the "non-stable" crypto market. This can be useful for traders and analysts who want to assess Bitcoin’s strength without the influence of stablecoin market caps, which often skew dominance metrics during periods of high stablecoin usage. How It Works: Bitcoin Market Cap: Fetches Bitcoin’s market capitalization using CRYPTOCAP:BTC. Total Market Cap: Retrieves the total cryptocurrency market cap via CRYPTOCAP:TOTAL. Stablecoin Adjustment: Subtracts the market caps of USDT (CRYPTOCAP:USDT) and USDC (CRYPTOCAP:USDC) from the total market cap. Dominance Calculation: Computes Bitcoin’s dominance as (BTC Market Cap / Adjusted Total Market Cap) * 100, where the adjusted total excludes stablecoins. Output: Plots the resulting dominance percentage as a line chart. Features: Displays Bitcoin dominance excluding stablecoins on any timeframe. Customizable line color and thickness for better visualization. Provides a more accurate representation of Bitcoin’s market share in the volatile, non-stablecoin crypto ecosystem. Usage: Add this indicator to your TradingView chart to compare Bitcoin’s dominance against the broader altcoin market, free from stablecoin distortions. Use it alongside other indicators like BTC.D or price charts to analyze market trends, especially during periods of high stablecoin inflows or outflows. Notes: The indicator currently excludes USDT and USDC, the two largest stablecoins by market cap. Additional stablecoins (e.g., DAI, BUSD) can be added by modifying the script if desired. Data is sourced from TradingView’s CRYPTOCAP symbols, which may have slight delays or variations depending on exchange data feeds. Best used on daily or higher timeframes for smoother, more reliable results. Author: Created by K Du₿ Version: Pine Script v5
Indicatore Pine Script®
di Crypto-KDuB
1