Şimdi başlat

Bitcoin (Kriptopara)

Correlation Coefficient - DXY & XAUPublishing my first indicator on TradingView. Essentially a modification of the Correlation Coefficient indicator, that displays a 2 ticker symbols' correlation coefficient vs, the chart presently loaded.. You can modify the symbols, but the default uses DXY and XAU, which have been displaying strong negative correlation. As with the built-in CC (Correlation Coefficient) indicator, readings are taken the same way: Positive Correlation = anything above 0 | stronger as it moves up towards 1 | weaker as it moves back down towards 0 Negative Correlation = anything below 0 | stronger moving down towards -1 | weaker moving back up towards 0 This is primarily created to work with the Bitcoin weekly chart, for comparing DXY and Gold (XAU) price correlations (in advance, when possible). If you change the chart timeframe to something other than weekly, consider playing with the Length input, which is set to 35 by default where I think it best represents correlations with Bitcoin's weekly timeframe for DXY and Gold. The intention is that you might be able to determine future direction of Bitcoin based on positive or negative correlations of Gold and/or the US Dollar Index. DXY has been making peaks and valleys prior to Bitcoin since after March 2020 black swan event, where it peaked just after instead. In the future, it may flip over again and Bitcoin may hit major highs or lows prior to DXY, again. So, keep an eye on the charts for all 3, as well as the indicator correlations. Currently, we've moved back into negative correlation between Bitcoin and DXY, and positive correlation with Bitcoin and Gold: Negative Correlation b/w Bitcoin and DXY - if DXY moves up, Bitcoin likely moves down, or if DXY moves down, Bitcoin likely moves up (or if Bitcoin were to move first before DXY, as it did on March 2020, instead) Positive Correlation b/w Bitcoin and Gold - Bitcoin and Gold will likely move up or down with each other. DXY is represented by the green histogram and label, Gold is represented by the yellow histogram and label. Again, you can modify the tickers you want to check against, and you can modify the colors for their histograms / labels. The inspiration from came from noticing areas of same date or delayed negative correlation between Bitcoin and DXY, here is one of my most recent posts about that: Please let me know if you have any questions, or would like to see updates to the indicator to make it easier to use or add more useful features to it. I hope this becomes useful to you in some way. Thank you for your support! Cheers, dudebruhwhoa :)
Pine Script™ indikatörü
dudebruhwhoa tarafından
2
Crypto Trend IndicatorThe Crypto Trend Indicator is a trend-following indicator specifically designed to identify bullish and bearish trends in the price of Bitcoin, and other cryptocurrencies. This indicator doesn't provide explicit instructions on when to buy or sell, but rather offers an understanding of whether the trend is bullish or bearish. It's important to note that this indicator is only useful for trend trading. The band is a visual representation of the 30-day and 60-day Exponential Moving Average (EMA). When the 30-day EMA is above the 60-day EMA, the trend is bullish and the band is green. When the 30-day EMA is below the 60-day EMA, the trend is bearish and the band is red. When the 30-day EMA starts to converge with the 60-day EMA, the trend is neutral and the band is grey. The line is a visual representation of the 20-week Simple Moving Average (SMA) in the daily timeframe. "Bull" and "Bear" signals are generated when the 20-day EMA is either above or below the 20-week SMA, in conjunction with a bullish or bearish trend. When the band is green and the 20-day EMA is above the 20-week SMA, a “Bull” signal emerges. When the band is red and the 20-day EMA is below the 20-week SMA, a “Bear” signal emerges. The 20-week SMA can potentially also function as a leading indicator, as substantial price deviations from the SMA typically indicate an overextended market. While this indicator has traditionally identified bullish and bearish trends in various cryptocurrency assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, range-bound indicators can greatly improve the decision-making process when planning for entries and exits points.
Pine Script™ indikatörü
ingeforberg tarafından
6
Boftei's StrategyI wrote this strategy about a year ago, but decided to publish it just now. I have not been able to implement this strategy in the market. If you can, then I will be happy for you. This strategy is based on my "Botvenko Script". (It finds the difference between the logarithms of closing prices from different days.) (Check this script in my profile) Then the strategy makes trades when the "Botvenko Script" indicator crosses the levels set earlier and manually selected for each currency pair/shares: long/short opening/closing levels, long/short re-entry levels. (They are drawn with horizontal dotted lines.) The names of these lines are: buy/sell level, long/short retry - too low/high, long close up/down, dead - close the short. Manual selection of each of the parameters provides a qualitative entry of the strategy into the deal. However, without restraining mechanisms, the strategy enters into rather controversial deals. In order to avoid going long/short during bear/bull markets, which is unacceptable, I added a fan of EMA lines. The fan consists of several EMA lines, which are set according to Fibonacci numbers (21, 55, 89, 144). If the lines in the fan are arranged in ascending order (ema_21>ema_55 and ema_55>ema_89 and ema_89>ema_144), then this indicates a bull market, during which I banned shorting. And vice versa: during the bear market (ema_21<ema_55 and ema_55<ema_89 and ema_89<ema_144) I banned long trading. If these two inequalities are not met, then this indicates that the market is flat, and during it it is allowed to enter any transactions, because a flat is a good moment to catch massive movements in the future by entering a transaction. (This is all visualized using semi-transparent thick lines of green, yellow and red colors.) By default, all parameters are adjusted for the btc/usd (bitstamp) pair. Best of all, the strategy shows itself if 1 candle = 1 day. At the time of writing, on the pair btcusd (bitstamp) (1d) with pyramiding = 1, the strategy shows a profit of 64728896%. If pyramiding is increased by 1, then the profit will be greater, but I still prefer pyramiding = 1. There is a possibility that my strategy is doing complete nonsense. I don't vouch for her. If you select parameters for other pairs of currencies/stocks, then you should not change anything in the fan of lines. That's all, probably.
Pine Script™ stratejisi
boftei tarafından
1
Market Relative Candle Ratio ComparatorIntroducing the Market Relative Candle Ratio Comparator, a visually captivating script that eases the way you compare two financial assets, such as cryptocurrencies and market indices. Leveraging a distinctive calculation method based on percentage changes and their averages, this tool presents a crystal-clear view of how your chosen assets perform in relation to each other, both for individual candles and over a range of previous candles. Tailoring the script to your preferences is a walk in the park, as it allows you to easily adjust input symbols, moving average lengths, and other parameters to match your analytical approach. The visually arresting column chart it creates employs vivid red and green colors to underscore the differences between the two assets on each candle. Simultaneously, the lower-opacity columns depict the accumulated differences over a specified lookback period. This vibrant blend of colors and opacities results in a dynamic visual experience, enabling you to better grasp market trends relative to each other. The reverse bool input is a handy feature that lets you invert the effect of the input symbol (DXY by default) in the comparison. When you set the reverse input to true, the script multiplies the calculated DXY percentage change by -1, effectively reversing the comparison. This is particularly useful when examining assets with an inverse relationship or when you'd like to analyze the input symbol's impact in the opposite direction. For instance, if the input symbol represents a market index that generally moves in the opposite direction of the selected cryptocurrency, enabling the reverse input will help you better visualize and understand the relationship between the two assets by inverting the input symbol's effect on the comparison. In the accompanying chart, you can observe the comparison of Bitcoin's movement relative to the Dollar, Gold, Bonds, and the S&P 500. The indicator reveals that in the last day, Bitcoin outperformed Bonds, Gold, and the Dollar but not the S&P 500!
Pine Script™ indikatörü
NoaTrader tarafından
Historical AverageThis indicator calculates the sum of all past candles for each new candle. For the second candle of the chart, the indicator shows the average of the first two candles. For the 10th candle, it's the average of the last ten candles. Simple Moving Averages (SMAa) calculate the average of a specific timeframe (e.g. SMA200 for the last 200 candles). The historical moving average is an SMA 2 at the second candle, an SMA3 for the third candle, an SMA10 for the tenth, an SMA200 for the 200th candle etc. Settings: You can set the multiplier to move the Historical Moving Average along the price axis. You can show two Historical Moving Averages with different multipliers. You can add fibonacci multipliers to the Historical Moving Average. This indicator works best on charts with a lot of historical data. Recommended charts: INDEX:BTCUSD BLX But you can use it e.g. on DJI or any other chart as well.
Pine Script™ indikatörü
algoros tarafından
2
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!
Pine Script™ indikatörü
mutantdog tarafından
4
[SM] Bitcoin cycles bull market An indicator to determine the seasonality / cyclicality of bitcoin for long trades. Application - For traders: Identification of zones with lower risk of entering long positions - For swing traders and investors: customizable calendar of entries into long position Indicator structure 1. Vertical zones (green and red) of time ranges. Only for historical bars. The range width is adjustable in the indicator settings. 2. Table (in the form of a calendar) for determining the time of entering a trade in the future. The table is not editable. It displays the result of the configured zones on the historical bars. General settings - choose the color of the Tradingview theme (light or dark) Table settings - Turn table display on / off - Set the number of months to be displayed in the table Settings of vertical zones (green and red) Each cycle (1 month summer, 1 month autumn, ...) has four dates - start date of the green zone (day and month) - date of the end of the green zone - start date of the red zone - date of the end of the red zone
Pine Script™ indikatörü
Strateg_maker tarafından
1
BTC Performance Table / BTC Seasonality Visualization This script visualizes Bitcoins "seasonality", in form of a colored table (based on the idea from "BigBangTheory") The history table shows you which months do statistically perform better/worse in comparison to other months. How to use this script: Choose ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin"). Set the charts time frame to weekly or daily. Tables position on the screen and its colors are configurable. Table explanation: Cells show whether a gain or a loss occured from month to month, since BTC came out in 2010. The price difference, between monthly open and monthly close, determines the cell color (negative -> red, positive -> green). The year column shows total gain (green) or loss (red) for that particular year. Each value is presented as a rounded percentage number. How this script works: The script calculates the price difference between each monthly and yearly open and close, storing those numbers inside arrays. Then it populates the table, by using those numbers and doing the cell coloring (there will be a yellow cell, in case no change should occur). German Short-Description Prozentuale Übersicht in Tabellenform, der monatlichen, sowie jährlichen, Performance des Bitcoin (basierend auf der Idee von "BigBangTheory"). Hierdurch wird die "Saisonalität" des Bitcoin sichtbar. D.h. welche Monate des Jahres, im Vergleich zu anderen Monaten, statistisch gesehen öfter positiv/negativ schließen. Zwecks vollständiger Darstellung muss der Ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin") im weekly oder daily time frame aktiv sein.
Pine Script™ indikatörü
Nuggeler tarafından
1
Bitcoin Correlation MapHello everyone, This indicator shows the correlation coefficients of altcoins with bitcoin in a table. What is the correlation coefficient? The correlation coefficient is a value that takes a value between 0 and 1 when a parity makes similar movements with the reference parity, and takes a value between 0 and -1 when it makes opposite movements. In order to obtain more meaningful and real-time results in this indicator, the weighted average of the correlation values of the last 200bar was used. You can change the bar length as you wish. With the correlation value, you can see the parities that have similar movements with bitcoin and integrate them into your strategy. You can change the coin list as you wish, and you can also calculate their correlation with etherium instead of bitcoin . The indicator shows the correlation value of 36 altcoins at the moment. The indicator indicates the color of the correlated parities as green and the color of the inversely correlated parities as red. Cheers
Pine Script™ indikatörü
Milvetti tarafından
6
The Price of Hard MoneyIf we calculate “the price of hard money” (the market capitalization weighted price of gold plus Bitcoin); we get this chart. Since 2017, Bitcoin’s share of hard money growth has been increasing, we can see it visibly on the gold chart by a widening delta between the price of hard money and the Gold price. We can also see some interesting technical behaviours. In 2021, Hard Money broke out and held this breakout above the 2011 Gold high. Only later in 2022 did a correction of 20% occur – typical of Golds historic volatility in periods of inflation and high interest rates. Hard Money is at major support and we have evidence for a fundamental shift in investor capital flows away from gold and into Bitcoin. This Indicator is useful: - To track the market capitalization of Gold (estimated), Bitcoin and combined market capitalization of Hard Money. - To track the price action and respective change in investor flows from Gold to Bitcoin . Provided Bitcoin continues to suck more value out of gold with time, this chart will be useful for tracking price action of the combined asset classes into the years to come.
Pine Script™ indikatörü
capriole_charles tarafından
1
RSI and MA with Trailing Stop Loss and Take Profit (by Coinrule)The relative strength index is a momentum indicator used in technical analysis. It measures the speed and magnitude of a coin's recent price changes to evaluate overvalued or undervalued conditions in the price of that coin. The RSI is displayed as an oscillator (a line graph essentially) on a scale of zero to 100. When the RSI reaches oversold levels, it can provide a signal to go long. When the RSI reaches overbought levels, it can mark a good exit point or alternatively, an entry for a short position. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition. A moving average (MA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range. Essentially it is used to help smooth out price data by creating a constantly updated average price. The Strategy enters and closes trades when the following conditions are met: Entry Conditions: RSI is greater than 50 MA9 is greater than MA50 RSI increases by 5 Exit Conditions: Price increases by 1% trailing Price decreases by 2% trailing This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns. The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Pine Script™ stratejisi
Coinrule tarafından
1
VWMA/SMA 3Commas BotThis strategy utilizes two pairs of different Moving Averages, two Volume-Weighted Moving Averages (VWMA) and two Simple Moving Averages (SMA). There is a FAST and SLOW version of each VWMA and SMA. The concept behind this strategy is that volume is not taken into account when calculating a Simple Moving Average. Simple Moving Averages are often used to determine the dominant direction of price movement and to help a trader look past any short-term volatility or 'noise' from price movement, and instead determine the OVERALL direction of price movement so that one can trade in that direction (trend-following) or look for opportunities to trade AGAINST that direction (fading). By comparing the different movements of a Volume-Weighted Moving Average against a Simple Moving Average of the same length, a trader can get a better picture of what price movements are actually significant, helping to reduce false signals that might occur from only using Simple Moving Averages. The practical applications of this strategy are identifying dominant directional trends. These can be found when the Volume Weighted Moving Average is moving in the same direction as the Simple Moving Average, and ideally, tracking above it. This would indicate that there is sufficient volume supporting an uptrend or downtrend, and thus gives traders additional confirmation to potentially look for a trade in that direction. One can initially look for the Fast VWMA to track above the Fast SMA as your initial sign of bullish confirmation (reversed for downtrending markets). Then, when the Fast VWMA crosses over the Slow SMA, one can determine additional trend strength. Finally, when the Slow VWMA crosses over the Slow SMA, one can determine that the trend is truly strong. Traders can choose to look for trade entries at either of those triggers, depending on risk tolerance and risk appetite. Furthermore, this strategy can be used to identify divergence or weakness in trending movements. This is very helpful for identifying potential areas to exit one's trade or even look for counter-trend trades (reversals). These moments occur when the Volume-Weighted Moving Average, either fast or slow, begins to trade in the opposite direction as their Simple Moving Average counterpart. For instance, if price has been trending upwards for awhile, and the Fast VWMA begins to trade underneath the Fast SMA, this is an indication that volume is beginning to falter. Uptrends need appropriate volume to continue moving with momentum, so when we see volume begin to falter, it can be a potential sign of an upcoming reversal in trend. Depending on how quickly one wants to enter into a movement, one could look for crosses of the Fast VWMA under/over the Fast SMA, crosses of the Fast VWMA over/under the Slow SMA, or crosses over/under of the Slow VWMA and the Slow SMA. This concept was originally published here on TradingView by ProfitProgrammers. Here is a link to his original indicator script: I have added onto this concept by: converting the original indicator into a strategy tester for backtesting adding the ability to conveniently test long or short strategies, or both adding the ability to calculate dynamic position sizes adding the ability to calculate dynamic stop losses and take profit levels using the Average True Range adding the ability to exit trades based on overbought/oversold crosses of the Stochastic RSI conveniently switch between different thresholds or speeds of the Moving Average crosses to test different strategies on different asset classes easily hook this strategy up to 3Commas for automation via their DCA bot feature Full credit to ProfitProgrammers for the original concept and idea. Any feedback or suggestions are greatly appreciated.
Pine Script™ stratejisi
CrackingCryptocurrency tarafından
6
Trend Following based on Trend ConfidenceThis is a Trend Following strategy based on the Trend Confidence indicator. The goal of this strategy is to be a simple Trend Following strategy, but also to be as precise as possible when it comes to the question 'how confident are we that a linear trend is ongoing?'. For this we calculate the 'confidence' of a linear trend in the past number of closing prices. The idea of this strategy is that past a certain confidence, the ongoing linear trend is more likely to continue than not. Trend Confidence: The Trend Confidence shows us how strong of a linear trend the price has made in the past number (given by Length parameter) of closing prices. The steepness of the price change makes the Trend Confidence more extreme (more positive for an uptrend or more negative for a downtrend), and the deviation from a straight line makes the Trend Confidence less extreme (brings the confidence closer to 0). This way we can filter out signals by wild/sudden price moves that don't follow a clear linear trend. Math behind the Trend Confidence: A linear fit is made on the past number of closing prices, using Ordinary Linear Regression. We have the steepness of the linear fit: b in y=a+bx . And we have the standard deviation of the distances from the closing prices to the linear fit: sd . The Trend Confidence is the ratio b/sd . Entries and Exits: For entry and exit points we look at how extreme the Trend Confidence is. The strategy is based on the assumption that past a certain confidence level, the ongoing linear trend is more likely to continue than not. So when the Trend Confidence passes above the 'Long entry" threshold, we go Long. After that when the Trend Confidence passes under the 'Long exit' threshold, we exit. The Long entry should be a positive value so that we go Long once a linear uptrend with enough confidence has been detected. When the Trend Confidence passes below the 'Short entry' threshold, we go Short. After that when the Trend Confidence passes above the 'Short exit' threshold, we exit. The Short entry should be a negative value so that we go Short once a linear downtrend with enough confidence has been detected. Default Parameters: The strategy is intended for BTC-USD market, 4 hour timeframe. The strategy also works on ETH-USD with similar parameters. The Length is arbitrarily set at 30, this means we look at the past 30 closing prices to determine a linear trend. Note that changing the length will change the range of Trend Confidence values encountered. The default entry and exit thresholds for Longs and Shorts do not mirror each other. This is because the BTC-USD market goes up more heavily and more often than it goes down. So the ideal parameters for Longs and Shorts are not the same. The positive results of the strategy remain when the parameters are slightly changed (robustness check). The strategy uses 100% equity per trade, but has a 10% stop loss so that a maximum of 10% is risked per trade. Commission is set at 0.1% as is the highest commission for most crypto exchanges. Slippage is set at 5 ticks, source for this is theblock.co.
Pine Script™ stratejisi
carefulCamel61097 tarafından
1
Investing ZonesInvesting Zones indicator shows the areas where LONGS or SHORTS can be made, the areas are calculated based on the mathematical averages of the high and low peaks of the price. -There is an area called "No trading Zone" where the price is too slow, It also has a Alma Trend Ribbon (blue for uptrend, pink for downtrend) that helps to make trading decisions. -You can make shorts when the price enters the Yellow zone called the "Sell Zone" and the price is below the Alma trend, set the TP1 in the white dotted line, and TP2 in the white lower line -You can make longs when the price enters the Green zone called the "Buy Zone" and the price is above the Alma trend, set the TP1 in the yellow dotted line, and TP2 in the yellow upper line -It works in all timeframes, personally I use it in 1min, 5min and 1hr.
Pine Script™ indikatörü
Ramonimous tarafından
2
Bitcoin Miner Extreme SellingThis script is for identifying extreme selling. Judging by the chart, Bitcoin miners often (not always) sell hard for two reasons: to take profit into parabolic price rises, or to stay solvent when the price is very low. Extreme selling thus often coincides with long-term tops and bottoms in Bitcoin price. This can be a useful EXTRA data point when trying to time long-term Bitcoin spot or crypto equity investment (NOT advice, you remain responsible, etc). The difference between selling measured in BTC and in USD gives a reasonable idea of whether miners are selling to make a profit or to stay solvent. CREDITS The idea for using the ratio of miner outflows to reserves comes from the "Bitcoin Miner Sell Pressure" script by the pioneering capriole_charles. The two request.security calls are identical. Another similarity is that you have to sum the outflows to make it make sense. But it doesn't make much difference, it turns out from testing, to use an average of the reserves, so I didn't. All other code is different. The script from capriole_charles uses Bollinger bands to highlight periods when sell pressure is high, uses a rolling 30-day sum, and only uses the BTC metrics. My script uses a configurable 2-6 week rolling sum (there's nothing magical about one month), uses different calculations, and uses BTC, USD, and composite metrics. INPUTS Rolling Time Basis : Determines how much data is rolled up. At the lowest level, daily data is too volatile. If you choose, e.g., 1 week, then the indicator displays the relative selling on a weekly basis. Longer time periods, obviously, are smoother but delayed, while shorter time periods are more reactive. There is no "real" time period, only an explicit interpretation. Show Data > Outflows : Displays the relative selling data, along with a long-term moving average. You might use this option if you want to compare the "real" heights of peaks across history. Show Data > Delta (the default): Only the difference between the relative selling and the long-term moving average is displayed, along with an average of *that*. This is more signal and less noise. Base Currency : Configure whether the calculations use BTC or USD as the metric. This setting doesn't use the BTC price at all; it switches the data requested from INTOTHEBLOCK. If you choose Composite (the default), the script combines BTC and USD together in a relative way (you can't simply add them, as USD is a much bigger absolute value). In Composite mode, the peaks are coloured red if BTC selling is higher than USD, which usually indicates forced selling, and green if USD is higher, which usually indicates profit-taking. This categorisation is not perfectly accurate but it is interesting insomuch as it is derived from block data and not Bitcoin price. In BTC or USD mode, a gradient is used to give a rough visual idea of how far from the average the current value is, and to make it look pretty. USAGE NOTES Because of the long-term moving averages, the length of the chart does make a difference. I recommend running the script on the longest Bitcoin chart, ticker BLX. To use it to compare selling with pivots in crypto equities, use a split chart: one BLX with the indicator applied, and one with the equity of your choice. Sync Interval, Crosshair, Time, and Date Range, but not Symbol.
Pine Script™ indikatörü
SimpleCryptoLife tarafından
3
TSG's Binance Round NRs - only for BTCThis is good real-time / scalp indicator for those scalping Bitcoin. It is based solely on Binance's BTCUSDT Perpetuals, but can be used on any BTCUSD pair as I am requesting info directly from Binance's chart. IDEA I have spotted that many times, round nrs (most likely caused by algo-trading) mark a top / bottom on a trend. Many times have catched extremes because of this technique and I have now coded it into an indicator on TradingView. Feel free to test it out - It's not a 100% strategy - but if you spot round nrs around confluences - your odds go up big time. SETUP You are able to set the amount of candles you want to search for - default is 20. Ofcourse we look only for extremes, therefore it will only look for extreme highs and lows within the amount of candles of your input. HOW TO READ IT The indicator will mark only the last High and Low matching the criteria - above and below the candle with the price number. Good luck!
Pine Script™ indikatörü
TheSecretsOfTrading tarafından