Rozpocznij

Wyszukaj w skryptach "2021年4月+黄金价格走势"

Bollinger Bands and RSI Short Selling (by Coinrule)The Bollinger Bands are among the most famous and widely used indicators. A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average ( SMA ) of a security's price, but which can be adjusted to user preferences. They can suggest when an asset is oversold or overbought in the short term, thus provide the best time for buying and selling it. The relative strength index ( RSI ) is a momentum indicator used in technical analysis . RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition. The short order is placed on assets that present strong momentum when it's more likely that it is about to decrease further. The rule strategy places and closes the order when the following conditions are met: ENTRY The closing price is greater than the upper standard deviation of the Bollinger Bands The RSI is less than 70 EXIT The trade is closed in profit when the RSI is less than 70 Upper standard deviation of the Bollinger Band is greater than the the closing price. This strategy comes with a stop loss and a take profit, and as you can see by the results, it is well suited for a bear market. This trade works very well with ETH (1h timeframe), AVA (4h timeframe), and SOL (3h timeframe) and is backtested from the 1 December 2021 to capture how this strategy would perform in a bear market. To make the results more realistic, the strategy assumes each order to trade 30% of the available capital. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Strategia Pine Script®
od Coinrule
1
Weighted Harrell-Davis Quantile Estimator with AD Oscillatorxel_arjona Licensing: This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International Copyright (c) 2021 ( CC BY-NC-SA 4.0) Copyright's & Mentions: The Gamma Functions & Beta Probability Density Functions C# implementations by the Math.NET Numerics, part of the Math.NET Project. The Regularized Incomplete (Left) Beta Function C# implementation by the SAMTools, htslib project. The Weighted Harrell-Davis Quantile estimator; C# & R implementations by Andrey Akinshin. External PineScript code, methods, support & consultancy by @PineCoders staff with special mention for: + "ma sorter ('sort by array' example)- JD" by @Duyck. + Porting, mods, compilation and debugging for this script by @XeL_Arjona for the TradingView's @PineCoders community. I made it an oscillator. Features include normalization, line display, and smoothing. :DDD Enjoy! (Ive been wanting to do this for a while but I wanted to make the library first but you know what this was fun so there you go its here now)
Wskaźnik Pine Script®
od The_Peaceful_Lizard
6
Short Swing Bearish MACD Cross (By Coinrule)This strategy is oriented towards shorting during downside moves, whilst ensuring the asset is trading in a higher timeframe downtrend, and exiting after further downside. This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it. ENTRY This script utilises the MACD indicator accompanied by the Exponential Moving Average (EMA) 450 to enter trades. The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 11-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9. The EMA 450 is used as additional confirmation to prevent the script from shorting when price is above this long-term moving average. Once price is above the EMA 450 the script will not open any shorts - preventing the rule from attempting to short uptrends. Due to this, this strategy is ideal for setting and forgetting. The script will enter trades based on two conditions: 1) When the MACD signals a bearish cross. This occurs when the EMA 11 crosses below the EMA 26 within the MACD signalling the start of a potential downtrend. 2) Price has closed below the EMA 450. Price closing below this long-term EMA signals that the asset is in a sustained downtrend. Price breaking above this could indicate a bullish strength in which shorting would not be profitable. EXIT This script utilises a set take-profit and stop-loss from the entry of the trade. The take profit is set at 8% and the stop loss of 4%, providing a risk reward ratio of 2. This indicates the script will be profitable if it has a win ratio greater than 33%. Take-Profit Exit: -8% price decrease from entry price. OR Stop-Loss Exit: +4% price increase from entry price. Based on backtesting results across a selection of assets, the 45-minute and 1-hour timeframes are the best for this strategy. 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. The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions, however the EMA 450 condition should mitigate entries during bullish market conditions.
Strategia Pine Script®
od Coinrule
Jurik Composite Fractal Behavior (CFB) on EMA [Loxx]Jurik Composite Fractal Behavior (CFB) on EMA is an exponential moving average with adaptive price trend duration inputs. This purpose of this indicator is to introduce the formulas for the calculation Composite Fractal Behavior. As you can see from the chart above, price reacts wildly to shifts in volatility--smoothing out substantially while riding a volatility wave and cutting sharp corners when volatility drops. Notice the chop zone on BTC around August 2021, this was a time of extremely low relative volatility. This indicator uses three previous indicators from my public scripts. These are: JCFBaux Volatility Jurik Filter Jurik Volty The CFB is also related to the following indicator Jurik Velocity ("smoother moment") Now let's dive in... What is Composite Fractal Behavior (CFB)? All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets. Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration. Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action. The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit! This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic. CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis. What is Jurik Volty used in the Juirk Filter? One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive. What is the Jurik Moving Average? Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines. Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun. Modifications and improvements 1. Jurik's original calculation for CFB only allowed for depth lengths of 24, 48, 96, and 192. For theoretical purposes, this indicator allows for up to 20 different depth inputs to sample volatility. These depth lengths are 2, 3, 4, 6, 8, 12, 16, 24, 32, 48, 64, 96, 128, 192, 256, 384, 512, 768, 1024, 1536 Including these additional length inputs is arguable useless, but they are are included for completeness of the algorithm. 2. The result of the CFB calculation is forced to be an integer greater than or equal to 1. 3. The result of the CFB calculation is double filtered using an advanced, (and adaptive itself) filtering algorithm called the Jurik Filter. This filter and accompanying internal algorithm are discussed above.
Wskaźnik Pine Script®
od loxx
3
Short Selling EMA Cross (By Coinrule)BINANCE:AVAXUSDT This short selling script works best in periods of downtrends and general bearish market conditions, with the ultimate goal to sell as the the price decreases further and buy back before a rebound. This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Entry The exponential moving average ( EMA ) 20 and EMA 50 have been used for the variables determining the entry to the short. EMAs can operate better than simple moving averages due to the additional weighting placed on the most recent data points, whereas simple moving averages weight all the data the same. This means that price is tracked more closely and the most recent volatile moves can be captured and exploited more efficiently using EMAs. Our backtesting data revealed that the most profitable timeframe was the 30-minute timeframe, this also enabled a good frequency of trades and high profitability. A fast (shorter term) exponential moving average , in this strategy the EMA 20, crossing under a slow (longer term) moving average, in this example the EMA 50, signals the price of an asset has started to trend to the downside, as the most recent data signals price is declining compared to earlier data. The entry acts on this principle and executes when the EMA 20 crosses under the EMA 50. Enter Short: EMA 20 crosses under EMA 50. Exit This script utilises a take profit and stop loss for the exit. The take profit is set at -8% and the stop loss is set at +16% from the entry price. This would normally be a poor trade due to the risk:reward equalling 0.5. However, when looking at the backtesting data, the high profitability of the strategy (93.33%) leads to increased confidence and showcases the high probability of success according to historical data. The take profit (-8%) and the stop loss (+16%) of the strategy are widely placed to ensure the move is captured without being stopped out due to relief rallies. The stop loss also plays a role of mitigating losses and minimising risk of being stuck in a short position once there has been a fundamental trend reversal and the market has become bullish . Exit Short: -8% price decrease from entry price. OR Exit Short: +16% price increase from entry price. Tip: Research what coins have consistent and large token unlocks / highly inflationary tokenomics, and target these during bear markets to short as they will most likely have substantial selling pressure that outweighs demand - leading to declining prices. 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. The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions.
Strategia Pine Script®
od Coinrule
MTF Stochastic ScannerThis Stochastic scanner can be use to identify overbought and oversold of 10 symbols over multiple timeframes it will give you a quick overview which pair is more overbough or more oversold and also signals tops and bottoms in the AVG row light red/green cell = weak bearish (Stoch = 30-20) / bullish (Stoch = 70-80) medium red/green cell = bearish (Stoch = 20-10) / bullish (Stoch = 80-90) dark red/green cell = strong bearish (Stoch <= 10) / bullish (Stoch >= 90) gray cell = neutral (Stoch = 30-70) Usage If AVG (average of all 4 timeframes) falls below 20, the cell will get green, indicating a good time to enter long (buy) If AVG (average of all 4 timeframes) rises above 80, the cell will get red, indicating a good time to enter short (sell) Use the "MTF Stochastic Scanner" in combination with the " MTF RSI Scanner " to find tops (RSI MTF avg >=70 AND Stochastic MTF avg >= 80) or bottoms (RSI MTF avg <= 30 AND Stochastic MTF avg <= 20) Here is how the two MTF scanners looked on Nov 08 2021 (ATH) » and here how the MTF scanners looked on June 21 2022 use TradingViews Replay function to check how it would have worked in the past and when not. As always… there NOT a single indicator that can show to the top & bottom 100% every single time. So use with caution, with other indicators and/or deeper understanding of technicals analysis ☝️☝️☝️ Settings You can change the timeframes, symbols, Stochastic settings, overbought/oversold levels and colors to your liking Drag the table onto the price chart, if you want to use it as an overlay. NOTE: Because of the 4x10 security requests, it can take up to 1 minute for changed settings to take effect! Please be patient 🙃 If you have any idea on how to optimise the code, please feel free to share 🙏 *** Inspired by "Binance CHOP Dashboard" from @Cazimiro and "RSI MTF Table" from @mobester16 ***
Wskaźnik Pine Script®
od Indicator-Jones
28
MTF RSI ScannerThis RSI scanner can be use to identify the relative strength of 10 symbols over multiple timeframes it will give you a quick overview which pair is more bearish or more bullish and also signals tops and bottoms in the AVG row light red/green cell = weak bearish (RSI = 45-35) / bullish (RSI = 55-65) medium red/green cell = bearish (RSI = 35-25) / bullish (RSI = 65-75) dark red/green cell = strong bearish (RSI <= 25) / bullish (RSI >= 75) gray cell = neutral (RSI= 45-55) Usage If AVG (average of all 4 timeframes) falls below 30, the cell will get green, indicating a good time to enter long (buy) If AVG (average of all 4 timeframes) rises above 70, the cell will get red, indicating a good time to enter short (sell) Use the "MTF RSI Scanner" in combination with the "MTF Stochastic Scanner" to find tops (RSI MTF avg >=70 AND Stochastic MTF avg >= 80) or bottoms (RSI MTF avg <= 30 AND Stochastic MTF avg <= 20) Here is how the two MTF scanners looked on Nov 08 2021 (ATH) » and here how the MTF scanners looked on June 21 2022 use TradingViews Replay function to check how it would have worked in the past and when not. As always… there NOT a single indicator that can show to the top & bottom 100% every single time. So use with caution, with other indicators and/or deeper understanding of technicals analysis ☝️☝️☝️ Settings You can change the timeframes, symbols, RSI settings, overbought/oversold levels and colors to your liking Drag the table onto the price chart, if you want to use it as an overlay. NOTE: Because of the 4x10 security requests, it can take up to 1 minute for changed settings to take effect! Please be patient 🙃 If you have any idea on how to optimise the code, please feel free to share 🙏 *** Inspired by "Binance CHOP Dashboard" from @Cazimiro and "RSI MTF Table" from @mobester16 ***
Wskaźnik Pine Script®
od Indicator-Jones
6
[GarufiCommunity] Multi Indicator: VWAPs, MA, Pivot PointsThis script provides a collection of indicators to help traders look at multiple trends while maintaining a consistent configuration, even when jumping around different timeframes and symbols. Additionally, this collection is particularly useful when trading decisions involve looking at dozens of indicators and analyzing, in aggregate, their confluence. With this collection of indicators you can configure anchored VWAPs, MA, and Pivot Points: - Anchored VWAPs: For each you define a fixed time and date to anchor it in the graph, and it stays consistent even when you change the symbol. An example use case can be setting one of the VWAPs to always start on the first candle on January 1st 2021, and a second VWAP a decade prior, so you don’t need to keep manually adjusting/adding VWAPs to the graph. At the moment you can define up to 4 anchored VWAPs. - MA and Pivot Points: For each you can set independent timeframes, periods, and types, while using a single configuration panel. This helps reduce the amount of clicking needed when trying different configurations, such as testing different MA and Pivot periods and comparing how each behave in the graph (this personally helps me build trust in indicators). Permits use of up to 3 MAs and 2 Pivot Points. Lastly, this script leverages and reuses modified code from the sources below: - Médias e Tempos-v.2.1 by VeraLucia (with permission); - Multiple Anchored VWAP v1.0 by GuilhermeNogueira (with permission); - Pivot Point by TradingView.
Wskaźnik Pine Script®
od rafael.ulhoa
3
TASC 2022.04 S&P500 Hybrid Seasonal System█  OVERVIEW TASC's April 2022 edition of Traders' Tips includes the "Sell In May? Stock Market Seasonality" article authored by Markos Katsanos. This is the code implementing the "Hybrid ​Seasonal System" from the article. █  CONCEPTS In his article, Markos Katsanos takes an updated look at the "Sell in May" adage by reviewing recent historical data for ​seasonal equity market tendencies. The author explores the development of a trading strategy (a set of buy and sell rules) based on this research. He starts from the enhanced buy & hold system featured in his July 2021 TASC article, and adds additional technical conditions. These include volatility conditions ( VIX and ATR ) plus the "Volume Flow Indicator" (VFI), which is a custom money flow indicator that Katsanos introduced in his June 2004 TASC article. He provides an example of a trading system that others can test for themselves and modify as they see fit. The author notes that the system could likely be improved further by adding money management conditions (such as a stop-loss), or by adding more technical conditions not considered in the ​scope of this article. █  CALCULATIONS The entry and exit rules that constitute the trading system are defined below. The critical values of ​VIX, ​ATR and VFI (specified below) used in the calculations were determined by optimization for a daily chart of the SPY ETF . By default, the strategy only allows long entries. However, the script offers the possibility to initiate short entries upon exiting long trades through the "Long Only" toggle in the script's inputs. Long Entry Rules ​• Seasonal: The ​seasonal trade is initiated on the first business day October at the open. • Volatility: In case of high ​volatility, that is if the ​VIX is above 60% or the 15-day ​​ATR was above 90% over the past 25 days, the ​seasonal trade is deferred until later in the month or year, when the ​volatility subsides. Exit/Short Entry Rules • Seasonal: The exit/short signal is triggered on the first business day of August at the open. • Volatility: The exit/short signal is triggered if ​VIX is above 120 % (i.e. 2 times the corresponding threshold parameter). • Money flow (VFI): The exit/short signal is triggered if the VFI crosses under a critical value (-20) while its 10-day moving average is pointing down. Join TradingView!
Strategia Pine Script®
od PineCodersTASC
2
Bitcoin Power Law Bands (BTC Power Law) Indicator█  OVERVIEW The 'Bitcoin Power Law Bands' indicator is a set of three US dollar price trendlines and two price bands for bitcoin , indicating overall long-term trend, support and resistance levels as well as oversold and overbought conditions. The magnitude and growth of the middle (Center) line is determined by double logarithmic (log-log) regression on the entire USD price history of bitcoin . The upper (Resistance) and lower (Support) lines follow the same trajectory but multiplied by respective (fixed) factors. These two lines indicate levels where the price of bitcoin is expected to meet strong long-term resistance or receive strong long-term support. The two bands between the three lines are price levels where bitcoin may be considered overbought or oversold. All parameters and visuals may be customized by the user as needed. █  CONCEPTS Long-term models Long-term price models have many challenges, the most significant of which is getting the growth curve right overall. No one can predict how a certain market, asset class, or financial instrument will unfold over several decades. In the case of bitcoin , price history is very limited and extremely volatile, and this further complicates the situation. Fortunately for us, a few smart people already had some b​right ideas that seem to have stood the test of time. Power law The so-called power law is the only long-term bitcoin price model that has a chance of survival for the years ahead. The idea behind the power law is very simple: over time, the rapid (exponential) initial growth cannot possibly be sustained (see The seduction of the exponential curve for a fun take on this). Year-on-year returns, therefore, must decrease over time, which leads us to the concept of diminishing returns and the power law. In this context, the power law translates to linear growth on a chart with both its axes scaled logarithmically. This is called the log-log chart (as opposed to the semilog chart you see above, on which only one of the axes - price - is logarithmic). Log-log regression When both price and time are scaled logarithmically, the power law leads to a linear relationship between them. This in turn allows us to apply linear regression techniques, which will find the best-fitting straight line to the data points in question. The result of performing this log-log regression (i.e. linear regression on a log-log scaled dataset) is two parameters: slope (m) and intercept (b). These parameters fully describe the relationship between price and time as follows: log(P) = m * log(T) + b, where P is price and T is time. Price is measured in US dollars , and Time is counted as the number of days elapsed since bitcoin 's genesis block. DPC model The final piece of our puzzle is the Dynamic Power Cycle (DPC) price model of bitcoin . DPC is a long-term cyclic model that uses the power law as its foundation, to which a periodic component stemming from the block subsidy halving cycle is applied dynamically. The regression parameters of this model are re-calculated daily to ensure longevity. For the 'Bitcoin Power Law Bands' indicator, the slope and intercept parameters were calculated on publication date (March 6, 2022). The slope of the Resistance Line is the same as that of the Center Line; its intercept was determined by fitting the line onto the Nov 2021 cycle peak. The slope of the Support Line is the same as that of the Center Line; its intercept was determined by fitting the line onto the Dec 2018 trough of the previous cycle. Please see the Limitations section below on the implications of a static model. █  FEATURES Inputs  • Parameters    • Center Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the grey line in the middle    • Resistance Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the red line at the top    • Support Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the green line at the bottom  • Controls    • Plot Line Fill: N/A    • Plot Opportunity Label: Controls the display of current price level relative to the Center, Resistance and Support Lines Style  • Visuals    • Center: Control, color, opacity, thickness, price line control and line style of the Center Line    • Resistance: Control, color, opacity, thickness, price line control and line style of the Resistance Line    • Support: Control, color, opacity, thickness, price line control and line style of the Support Line    • Plots Background: Control, color and opacity of the Upper Band    • Plots Background: Control, color and opacity of the Lower Band    • Labels: N/A  • Output    • Labels on price scale: Controls the display of current Center, Resistance and Support Line values on the price scale    • Values in status line: Controls the display of current Center, Resistance and Support Line values in the indicator's status line █  HOW TO USE The indicator includes three price lines:  • The grey Center Line in the middle shows the overall long-term bitcoin USD price trend  • The red Resistance Line at the top is an indication of where the bitcoin USD price is expected to meet strong long-term resistance  • The green Support Line at the bottom is an indication of where the bitcoin USD price is expected to receive strong long-term support These lines e​nvelope two price bands:  • The red Upper Band between the Center and Resistance Lines is an area where bitcoin is considered overbought (i.e. too expensive)  • The green Lower Band between the Support and Center Lines is an area where bitcoin is considered oversold (i.e. too cheap) The power law model assumes that the price of bitcoin will fluctuate around the Center Line, by meeting resistance at the Resistance Line and finding support at the Support Line. When the current price is well below the Center Line (i.e. well into the green Lower Band), bitcoin is considered too cheap (oversold). When the current price is well above the Center Line (i.e. well into the red Upper Band), bitcoin is considered too expensive (overbought). This idea alone is not sufficient for profitable trading, but, when combined with other factors, it could guide the user's decision-making process in the right direction. █  LIMITATIONS The indicator is based on a static model, and for this reason it will gradually lose its usefulness. The Center Line is the most durable of the three lines since the long-term growth trend of bitcoin seems to deviate little from the power law. However, how far price extends above and below this line will change with every halving cycle (as can be seen for past cycles). Periodic updates will be needed to keep the indicator relevant. The user is invited to adjust the slope and intercept parameters manually between two updates of the indicator. █  RAMBLINGS The 'Bitcoin Power Law Bands' indicator is a useful tool for users wishing to place bitcoin in a macro context. As described above, the price level relative to the three lines is a rough indication of whether bitcoin is over- or undervalued. Users wishing to gain more insight into bitcoin price trends may follow the author's periodic updates of the DPC model (contact information below). █  NOTES The author regularly posts on Twitter using the @DeFi_initiate handle. █  THANKS Many thanks to the following individuals, who - one way or another - made the 'Bitcoin Power Law Bands' indicator possible:  • TradingView user 'capriole_charles', whose open-source 'Bitcoin Power Law Corridor' script was the basis for this indicator  • Harold Christopher Burger, whose Bit​coin’s natural long-term power-law corridor of growth article (2019) was the basis for the 'Bitcoin Power Law Corridor' script  • Bit​coin Forum user "Trololo", who posted the original power law model at Logarithmic (non-linear) regression - Bit​coin estimated value (2014)
Wskaźnik Pine Script®
od DeFi_initiate
10
ETH vs BTC 200W SMA OverextensionHistorically, when BTC suffers a correction and ETH continues to rally, this hints at an impending market-wide correction. In Jan 2018, ETH rallies while BTC corrects, signalling the end of the bull cycle. In May 2021, ETH rallies while BTC ranges between $50-$60k, then a major correction occurs. This indicator attempts to monitor this phenomenon in order to help spot potential macro tops in the cryptocurrency market. The indicator takes the price of the asset and divides it by the 200 week SMA value. This gives an over/undervaluation in percentage terms. When ETH becomes significantly more overvalued relative to BTC, the indicator will warn of a potential top forming (see red shaded areas). This is for edutainment purposes only. Don't make financial decisions based on this indicator.
Wskaźnik Pine Script®
od panpanXBT
Forex Dogs Moving Averages with Distance TableThis is an indicator based on the book【Forex】ForexDog’s Vacuum Zone Trading 2021: Trading Strategy to “not lose” based on Experience and Logic written by Forex Dog (yes, this is his author name on Amazon; he is a trader popular mostly in Japan). It consists of simple moving averages which should somewhat correspond to the higher timeframes moving averages. The original was traded on a 15m chart and the periods are as follows: 5, 20, 40, 50, 80, 100, 200, 400, 640, 1600, 1920, 3200. Then, there is a big table with a distances overview. This should give you an idea of how far each average is in ticks. The minus in front of the ticks_total signifies direction. I expect some feedback on this because I don't think the user convenience is very with tables being so bright. My goal is to create a system that limits the number of "noodles" on the chart but still carries the information via the tables on the side. Moving Average Length is not adjustable by design. The book says to use these quite explicitly, although the logic would work just fine with some other levels, it would not be the original strategy. Good luck!
Wskaźnik Pine Script®
od OrcChieftain
3
[e2] Drawing Library :: Horizontal Ray█ OVERVIEW Library "e2hray" A drawing library that contains the hray() function, which draws a horizontal ray/s with an initial point determined by a specified condition. It plots a ray until it reached the price. The function let you control the visibility of historical levels and setup the alerts. █ HORIZONTAL RAY FUNCTION hray(condition, level, color, extend, hist_lines, alert_message, alert_delay, style, hist_style, width, hist_width)   Parameters:      condition : Boolean condition that defines the initial point of a ray      level : Ray price level.      color : Ray color.      extend : (optional) Default value true, current ray levels extend to the right, if false - up to the current bar.      hist_lines : (optional) Default value true, shows historical ray levels that were revisited, default is dashed lines. To avoid alert problems set to 'false' before creating alerts.      alert_message : (optional) Default value string(na), if declared, enables alerts that fire when price revisits a line, using the text specified      alert_delay : (optional) Default value int(0), number of bars to validate the level. Alerts won't trigger if the ray is broken during the 'delay'.      style : (optional) Default value 'line.style_solid'. Ray line style.      hist_style : (optional) Default value 'line.style_dashed'. Historical ray line style.      width : (optional) Default value int(1), ray width in pixels.      hist_width : (optional) Default value int(1), historical ray width in pixels.   Returns: void █ EXAMPLES  • Example 1. Single horizontal ray from the dynamic input. //@version=5 indicator("hray() example :: Dynamic input ray", overlay = true) import e2e4mfck/e2hray/1 as e2draw inputTime = input.time(timestamp("20 Jul 2021 00:00 +0300"), "Date", confirm = true) inputPrice = input.price(54, 'Price Level', confirm = true) e2draw.hray(time == inputTime, inputPrice, color.blue, alert_message = 'Ray level re-test!') var label mark = label.new(inputTime, inputPrice, 'Selected point to start the ray', xloc.bar_time)  • Example 2. Multiple horizontal rays on the moving averages cross. //@version=5 indicator("hray() example :: MA Cross", overlay = true) import e2e4mfck/e2hray/1 as e2draw float sma1 = ta.​sma​(close, 20) float sma2 = ta.​sma​(close, 50) bullishCross = ta.crossover( sma1, sma2) bearishCross = ta.crossunder(sma1, sma2) plot(sma1, 'sma1', color.purple) plot(sma2, 'sma2', color.blue) // 1a. We can use 2 function calls to distinguish long and short sides. e2draw.hray(bullishCross, sma1, color.green, alert_message = 'Bullish Cross Level Broken!', alert_delay = 10) e2draw.hray(bearishCross, sma2, color.red, alert_message = 'Bearish Cross Level Broken!', alert_delay = 10) // 1b. Or a single call for both. // e2draw.hray(bullishCross or bearishCross, sma1, bullishCross ? color.green : color.red)  • Example 3. Horizontal ray at the all time highs with an alert. //@version=5 indicator("hray() example :: ATH", overlay = true) import e2e4mfck/e2hray/1 as e2draw var float ​ath​ = 0, ​ath​ := math.max(high, ​ath​) bool newAth = ta.change(​ath​) e2draw.hray(​nz​(newAth ), high , color.orange, alert_message = 'All Time Highs Tested!', alert_delay = 10)
Biblioteka Pine Script®
od e2e4
17
FII and DII Data Greetings to All of you. The script is plotting FII & DII activity of buying or selling on Daily TimeFrame of Nifty Spot. Will display only on Nifty 50 Spot on Daily TimeFrame . Codes are hardcoded because novice to PineScripting. Data is collected from NSE website on daily basis, it's an manual process. Observation: Start date of observation is 16th Nov., 2021. FII bought worth 14,240 & kept buying for next 2 days & bought stocks worth 17,760 crores. But market kept falling as we can see in the chart. Now FII's started selling & in next 5 days they sold stocks worth 18,698 crores. What makes sense from this is might have cut their losses early. FII's kept selling & Nifty made an low of 16410. FII had sold stocks worth -21,954 crores. FII are negative & the top green box which you see is FII & DII activity from 19th Oct 2021 when Nifty Spot made an High of 18604.45. As of 14th Jan.,2022 they are still Negative & DII are extremely positive. NOTE: DII have not sold any thing yet. They are PLUS +74,428 Crore . Now if they start selling we need to take care of our portfolio. Hope the information might help in someway. Take Care & Stay Safe why because Health is Wealth. PS: If you have any better way to improve the hard coded codes please enlighten. Thank you in advance
Wskaźnik Pine Script®
od nanujogi
43
Percentage Levels by TimeframePlots the positive and negative percentage levels from a selection of timeframes and sources for any ticker. You can use this within a pullback trading system. For example, if you historically look at the average pullback of large cap stocks and ETF's, you can use this indicator to plot the levels it could pullback to for an entry to go long. It can be used as potential targets when trading a ticker short. Another use for this is to backtest the set percentage targets using TradingView's bar replay feature to see how ETF's and large cap stocks have reacted at these levels. Note: This is intended to be used at timeframes equal to higher than the chart's as it may cause re-painting issues. Currently percentage levels are statically set to 1, 3, 5, 10, 15, 20, 25, and 30% levels above and below the chosen source (open, high, low, close). You can also display the data based on timeframes from Daily (1D) all the way up to Yearly (12M) *Not financial advice but in my opinion the current percentage levels set (see above) are best used for ETF's and Large Cap Stocks. Jan 2 Release Notes: Added the ability to select the historical bars to look back when plotting levels Jan 2 Release Notes: To get a better display or proper resolution on your charts, change the view settings to "Scale Price Chart Only" Jan 2 Release Notes: To add % labels for this indicator on the price axis, change your chart settings to include "Indicator Name Label" & "Indicator Last Value". You can find this under the Label section after hitting the gear icon in the bottom right of your chart. Jan 2 Release Notes: Added: Custom Line Plot Extension Settings. Ideally both values should be equal to display optimal extended lines. To return to a base setting: '1' = Historical Lookback & '0' = Offset Lines. Also note this is dependent on the timeframe you are viewing on the chart. Jan 2 Release Notes: Removed indicator from example chart that was not needed. Jan 2 Release Notes: Updated some comments in the Pine Script Jan 2 Release Notes: Update: Added commentary and instructions in the indicator settings to address recommended line plot settings for Stocks/ETF's vs Futures Jan 2 Release Notes: Changed title from "Calculation Method" to "Calculation Source" Jan 4 2021 Normal use of security() dictates that it only be used at timeframes equal to or higher than the chart's as it may cause re-painting
Wskaźnik Pine Script®
od thacoolbreeze
4
F&G_IndexIntroduction. This indicator shows the behavior of Fear and Greed Index (F&G_Index) for the cryptocurrency market in an intuitive way for traders. This indicator has been modified from a script developed by @cptpat called "Fear and Greed Index FGI (Daily Update) alternative.me" (Tradingview user). The Fear and Greed Index values are taken directly from alternative.me. The novelty of this proposal is to indicate the extreme levels (lower/upper) of the Fear and Greed Index according to a statistical analysis of the historical data. Also its daily update. It is not recommended to use in isolation. The appropriate way is in consensus with other indicators. The extreme values. Two upper and lower limits are established that correspond to the first standard deviation (1·SD) and 1.5 standard deviation (1.5·SD), respectively. These limits will help to know different important levels of greed or fear in the market based on real and historical data. The values obtained for each case are shown below, which will mark the extremes. These values may be modified in the future. If so, they will be updated and the community will be informed. 1·SD higher = 69 (F&G_Index). 1·SD lower = 24 (F&G_Index). 1.5·SD higher = 81 (F&G_Index). 1.5·SD lower = 12 (F&G_Index). These limits are statistically significant and representative of extreme values of the Fear and Greed Index. Above all, for the case of 1.5·SD higher/lower, whose occurrence of the cases are significantly lower. These data are obtained for a daily record from August 2017 to December 2021, for a total of 1407 data. The occurrence of the Fear and Greed Index value exceeding the indicated levels is shown below. F&G_Index > 1·SD higher (Greed). Occurrence <22,5% F&G_Index < 1·SD lower (Fear). Occurrence <19% 1·SD lower < F&G_Index < 1·SD higher (Neutral). Occurrence ≈59% F&G_Index > 1.5·SD higher (Extreme Greed). Occurrence <8% F&G_Index < 1.5·SD lower (Extreme Fear). Occurrence <3% How to use the indicator. Its use is very simple and intuitive and is based on the levels indicated above. The blue line shows the historical value of F&G_Index. When the value of F&G_Index exceeds the levels indicated above, a vertical band of color will be tinted (brown/red, green/lime green or gray with transparency) as indicated below. This allows you to locate important areas in a very visual way. F&G_Index > 1·SD higher (Greed). Brown color F&G_Index < 1·SD lower (Fear). Green color. 1·SD lower < F&G_Index < 1·SD higher (Neutral). Gray color with transparency. F&G_Index > 1.5·SD higher (Extreme Greed). Red color. F&G_Index < 1.5·SD lower (Extreme Fear). Lime green color. Image of the indicator.
Wskaźnik Pine Script®
od M_Ernest_
7
60-Day Accumulated Increasing RateIs this Bitcoin bull run still driven by new investors and new funds? Definitely. That’s why the 60-day accumulative increasing rate is so important and it can even determine everything. The only thing that can be trusted is the math. In history, each capital inflow uptrend bull run has ended once the 60-day accumulative increasing rate reached a high level and when the short-term euphoric investors push BTC price to rise at a fast speed and use up all kinds of leverages. At that point, there’s no time for new investors and new funds to flow in, thus the cryptocurrency market will crash from the global top. In that sense, the crashes on 4th September, 2017 and 19th May, 2021 didn’t end the bull run, instead,they lengthened the bull run span.The last bull run cycle (2017) might have ended prematurely when BTC reached $10,000, recording 150% accumulated increase over 60 days. Then BTC won’t be pumped up to $20,000 if the course wasn’t interrupted by September 4th, 2017 incident. Technical analysts(they are far from trustworthy, full of bollocks) call the correction of BTC: “consolidation or wipeout”, just like that diabetes is called as Liver Qi Stagnation, weight lossing, being thirsty and other symptoms. It’s quite fun to watch so many people explaining it in a false concept. Everyone knows what the maths is. That’s enough. PS: This indicator can only be applied to Bitcoin daily chart!
Wskaźnik Pine Script®
od Crypto_YZ_
A simple trading strategy for XTZ/EUR (December 2021)This is my current trading strategy for XTZ/EUR for this month of December. It tries to avoid pumps/dumps (i.e. does not trade on big candles). It always performs one order in each candle for the trading window of the rebalance bear/bull market indicator (check my profile for it). It has alerts configured so that you can use it in your server/broker (just pass along the `{{strategy.order.alert_message}}` in the alert message, it will include a positive number of XTZ when to buy, or a negative number when to sell). It does not repaint. The amount of crypto and fiat in the portfolio can be configured in the cog. It does not outperform buy/hold for the bull months. Check the results in the Data Window of Trading View (please avoid the Strategy Tester, it has too many bugs and is not intended for out of the box strategies such a this one). All code is open source.
Strategia Pine Script®
od hugodanielcom