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FieryTrading: Buy The Dip - Sell The RipDear Tradingview community, Today I want to share a very powerful, yet easy to use indicator with you. The indicator will find local tops or bottoms and will help you determine when it's a good time to trade a potential reversal. How does it work? The indicator makes use of the RSI to detect extremities and waits until the RSI reverses. Furthermore, a long-term moving average is used to determine whether we're in bullish or bearish market conditions. In bullish conditions the indicator will only go long, in bearish conditions the indicator will only go short. How do I use it? Favorite the indicator and apply it to your chart! You can add an alert to the indicator to receive a message once it has detected a good point for a reversal trade. The indicator can be used on all assets and on all timeframes. Personally, I've found the 1 - 4 hourly timeframes to yield the best results. Good luck!
Chỉ báo Pine Script™
bởi FieryTrading
5
SUPER MULTI MOVING AVERAGE [Gabbo]this indicator serves to differentiate the classic Moving Average with a different style There are 3 Moving Average editable with the Source, length, timeframe and styles. the styles are: SMA = Simple moving average EMA = Exponential moving average WMA = Weighted moving average RMA = Rolling moving average HMA = Hull moving average JMA = Jurik moving average DEMA = Double exponential moving average TEMA = Triple exponential moving average LSMA = Least squares moving average VWMA = Volume-weighted moving average SMMA = Moving average Smoothed KAMA = Kaufman Moving Average Adaptive ALMA = Arnaud Legoux moving average FRAMA = Fractal Adaptive moving average VIDYA = Variable Index Dynamic Average There are also Inputs that are valid only for some styles such as: JMA = "Phase" and "Power" ALMA = "Offset" and "Sigma" FRAMA = "Lower shift ( FC )" and "Upper shift ( SC )" VIDYA = "Fixed CMO Lenght (9)?" and "Calculation Method: CMO/StDev?" The "Ema Fill" input is used to decide the type of Moving Average long or short, the choices are: Fast/Slow = Long = maFast >= maSlow --- Short maSlow > maFast Fast = Long = maFast >= close ------ Short maFast < close Slow = Long = maSlow >= close ------ Short maSlow < close NA = No fill If they also select the input "USE Ema Conf ???" the calculations for Moving Average Long and Short become like this: Fast/Slow = Long = maFast >= maSlow and maConf >= maFast --- Short maSlow > maFast and maSlow > maFast Fast = Long = maFast >= close and maConf >= maFast ------ Short maFast < close and maFast > maConf Slow = Long = maSlow >= close and maConf >= maSlow ------ Short maSlow < close and maSlow > maConf NA = No fill selecting the input "TABLE ???" a table with 8 boxes will appear and each will be of a different color, based on the Moving Average Long and Short of the 8 different Timeframes. the "Neutral Position" input is used to calculate the Moving Average Neutral, Long and Short Long = maFast- maSlow >= upBar and maFast >= maFamaSlow Short = maFast- maSlow <= -lowBar and maSlow > maFast Neutral = maFast >= maSlow and maFast- maSlow < upBar OR maSlow > maFast and maFast- maSlow > -lowBar
Chỉ báo Pine Script™
bởi Cometreon
Fibonacci MAsIt's a pretty simple script. Idea is to compute MAs with the length of Fibonacci numbers and then compute an average of them all. In the script, you can choose the type of MAs and how many Fibonacci numbers to use for it. You can also adjust the length of these MAs manually and choose the color of every one of them. Thanks to @MUQWISHI for helping me code it. Disclaimer Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.
Chỉ báo Pine Script™
bởi QuantNomad
1
Relative Strength Index with fast and slow MAsThis is the typical Relative Strength Index indicator with two moving averages, one slow (length 50 by default) and one fast (length 20 by default). Additionally, there are four lines, which mark the oversold/overbought signals at different levels, there are two inner bands with values at the levels 40, and 60, and two outer bands at the levels 20, and 80. The presence of the fast and slow moving averages and their crossover/crossunder with the oversold/overbought levels or the RSI can provide more insightful and faster signals. The indicator has a slightly different colouring mechanism. The views of the RSI indicator on the above the price chart in both dark and light modes:
Chỉ báo Pine Script™
bởi Thrax93
NSDT MA+ADXThis script combines Moving Averages with ADX Strength, but with an added bonus. Rather than having the Moving Average line always plot on the chart, it will reference the ADX strength based on the settings by the trader. This way, the Moving Average will not show on the chart unless there is also a strong direction in the trend. This may potentially be used to help with entries when trend trading due to adding the ADX for trend strength. In the examples below, the ADX settings in the MA+ADX indicator are matched with the settings of a standalone ADX indicator at the bottom of the chart (not included, just for reference). MA+ADX prnt.sc ADX Only prnt.sc You will see how the MA only plots when the ADX is over the threshold, currently set at 25. (arrows drawn to indicate confluence)
Chỉ báo Pine Script™
bởi NorthStarDayTrading
2
Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL [Loxx]Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL is a fractal-dimension-index-adaptive SMA. The SMA is accelerated during a trend and slowed down during a sideways market, so as to avoid false signals. This indicator uses the fractal dimension to compute an ingest period length into the SMA to output the FDASMA. What is the Fractal Dimension Index? The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion. What are DSL Discontinued Signal Line? A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made. Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator. "Signal" line is calculated the following way : When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods. In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level. Included 2 Signal types Alerts Loxx's Expanded Source Types Bar coloring
Chỉ báo Pine Script™
bởi loxx
6
Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter [Loxx]Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter is a FIR filter moving average with extreme lag reduction and noise elimination technology. This is a special instance of a static weight FIR filter designed specifically for Forex trading. This is not only a useful indictor, but also a demonstration of how one would create their own moving average using FIR filtering weights. This moving average has static period and weighting inputs. You can change the lag reduction and the clutter filtering but you can't change the weights or the numbers of bars the weights are applied to in history. Plot of weighting coefficients used in this indicator These coefficients were derived from a smoothed cardinal sine weighed SMA on EURUSD in Matlab. You can see the coefficients in the code. What is Normalized Cardinal Sine? The sinc function sinc (x), also called the "sampling function," is a function that arises frequently in signal processing and the theory of Fourier transforms. In mathematics, the historical unnormalized sinc function is defined for x ≠ 0 by sinc x = sinx / x In digital signal processing and information theory, the normalized sinc function is commonly defined for x ≠ 0 by sinc x = sin(pi * x) / (pi * x) What is a Generic or Direct Form FIR Filter? In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may continue to respond indefinitely (usually decaying). The impulse response (that is, the output in response to a Kronecker delta input) of an Nth-order discrete-time FIR filter lasts exactly {\displaystyle N+1}N+1 samples (from first nonzero element through last nonzero element) before it then settles to zero. FIR filters can be discrete-time or continuous-time, and digital or analog. A FIR filter is (similar to, or) just a weighted moving average filter, where (unlike a typical equally weighted moving average filter) the weights of each delay tap are not constrained to be identical or even of the same sign. By changing various values in the array of weights (the impulse response, or time shifted and sampled version of the same), the frequency response of a FIR filter can be completely changed. An FIR filter simply CONVOLVES the input time series (price data) with its IMPULSE RESPONSE. The impulse response is just a set of weights (or "coefficients") that multiply each data point. Then you just add up all the products and divide by the sum of the weights and that is it; e.g., for a 10-bar SMA you just add up 10 bars of price data (each multiplied by 1) and divide by 10. For a weighted-MA you add up the product of the price data with triangular-number weights and divide by the total weight. Ultra Low Lag Moving Average's weights are designed to have MAXIMUM possible smoothing and MINIMUM possible lag compatible with as-flat-as-possible phase response. What is a Clutter Filter? For our purposes here, this is a filter that compares the slope of the trading filter output to a threshold to determine whether to shift trends. If the slope is up but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. If the slope is down but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. Alternatively if either up or down slope exceeds the threshold then the trend turns green for up and red for down. Fro demonstration purposes, an EMA is used as the moving average. This acts to reduce the noise in the signal. What is a Dual Element Lag Reducer? Modifies an array of coefficients to reduce lag by the Lag Reduction Factor uses a generic version of a Kalman velocity component to accomplish this lag reduction is achieved by applying the following to the array: 2 * coeff - coeff The response time vs noise battle still holds true, high lag reduction means more noise is present in your data! Please note that the beginning coefficients which the modifying matrix cannot be applied to (coef whose indecies are < LagReductionFactor) are simply multiplied by two for additional smoothing . Things to note Due to the computational demands of this indicator, there is a bars back input modifier that controls how many bars back the indicator is calculated on. Because of this, the first few bars of the indicator will sometimes appear crazy, just ignore this as it doesn't effect the calculation. Related Indicators STD-Filtered, Ultra Low Lag Moving Average Included Bar coloring Loxx's Expanded Source Types Signals Alerts
Chỉ báo Pine Script™
bởi loxx
4
Ichimoku Cloud and Bollinger Bands (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future. The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals. The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in. The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line. The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up. The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down. 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 providing the best time for buying and selling it. This strategy combines the Ichimoku Cloud with Bollinger Bands to better enter trades. Long orders are placed when these basic signals are triggered. Long Position: Tenkan-Sen is above the Kijun-Sen Chikou-Span is above the close of 26 bars ago Close is above the Kumo Cloud The closing price is greater than the upper standard deviation of the Bollinger Bands Short Position: Tenkan-Sen is below the Kijun-Sen Chikou-Span is below the close of 26 bars ago Close is below the Kumo Cloud The upper standard deviation of the Bollinger Band is greater than the closing price The script is backtested from 1 January 2022 and 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. This script also works well on BTC 30m/1h, ETH 2h, MATIC 2h/30m, AVAX 1h/2h, SOL 45m timeframes
Chiến lược Pine Script™
bởi Coinrule
NSDT MA High-LowThis may seem like a pretty basic Moving Average indicator but I haven't seen one that changes the calculation point depending if the market is going up or down. I've added three EMA's (length of 20) on this sample chart to demonstrate the differences. These are not included with the indicator. Green, EMA calculated on High Red, EMA calculated on Low Yellow, EMA calculated on Close (default) Blue, EMA calculated on HIGH when rising but on LOW when falling. (looks at 3 candles back to gauge direction) * * * Note you can choose between 5 different Moving Average types Notice how the Blue line (when going up it's calculated on the High) is catching up to the Green line (which is already calculated on the High)? Notice how the Blue line (when going down so it's calculated on the Low) is catching up to the Red line (which is already calculated on the Low)? This gives a faster response in the direction of the market because it switches between calculating on the High or Low based on market direction. This script is free and open source.
Chỉ báo Pine Script™
bởi NorthStarDayTrading
2
OHLC Moving AverageThis indicator shows 4 moving averages of Open, High, Low and Close at the same time with an option to select SMA or EMA. If you implement this indicator twice, you can make it look like the following chart. One set of MA(red) is for current timeframe and another set(blue) is for higher timeframe, which is to identify potential support and resistance zones. -------------------------- 四本値(始値、高値、安値、終値)それぞれの移動平均線を同時に表示することのできるインジケーターです。 MAタイプはSMAかEMAを選択することができます。 このインジケーターを二つセットすると以下のように上位足の移動平均線とセットで表示することも可能です。 (赤がチャートの時間軸の4本値の移動平均線、青が上位足の4本値の移動平均線) 上位足の移動平均線をサポート・レジスタンスのゾーンとして捉える時などに活用できます。
Chỉ báo Pine Script™
bởi FX365_Thailand
Multiple Daily SMA EMA on Intra 1min 5min 15min ChartsThis script is helping you auto plot daily SMA EMA and extensions when you are looking at intraday charts. The script is customizable where user can select which ever levels they are interested in viewing. These daily lines act as support and resistance levels for intraday The green line represent 20 EMA Daily The yellow line represent 50 SMA Daily The olive line represent 200 SMA Daily The red line is upper Bollinger Band Daily The black line is lower Bollinger Band Daily To help you understand which lines are what I would recommend you add this indicator and select "D" timeframe and then see which lines you would like to view for your 1min chart or 5 min chart you can customize from the setting options which plot color you would like to view.
Chỉ báo Pine Script™
bởi beststockalert
2
Hodrick-Prescott Extrapolation of Price [Loxx]Hodrick-Prescott Extrapolation of Price is a Hodrick-Prescott filter used to extrapolate price. The distinctive feature of the Hodrick-Prescott filter is that it does not delay. It is calculated by minimizing the objective function. F = Sum((y(i) - x(i))^2,i=0..n-1) + lambda*Sum((y(i+1)+y(i-1)-2*y(i))^2,i=1..n-2) where x() - prices, y() - filter values. If the Hodrick-Prescott filter sees the future, then what future values does it suggest? To answer this question, we should find the digital low-frequency filter with the frequency parameter similar to the Hodrick-Prescott filter's one but with the values calculated directly using the past values of the "twin filter" itself, i.e. y(i) = Sum(a(k)*x(i-k),k=0..nx-1) - FIR filter or y(i) = Sum(a(k)*x(i-k),k=0..nx-1) + Sum(b(k)*y(i-k),k=1..ny) - IIR filter It is better to select the "twin filter" having the frequency-independent delay Тdel (constant group delay). IIR filters are not suitable. For FIR filters, the condition for a frequency-independent delay is as follows: a(i) = +/-a(nx-1-i), i = 0..nx-1 The simplest FIR filter with constant delay is Simple Moving Average (SMA): y(i) = Sum(x(i-k),k=0..nx-1)/nx In case nx is an odd number, Тdel = (nx-1)/2. If we shift the values of SMA filter to the past by the amount of bars equal to Тdel, SMA values coincide with the Hodrick-Prescott filter ones. The exact math cannot be achieved due to the significant differences in the frequency parameters of the two filters. To achieve the closest match between the filter values, I recommend their channel widths to be similar (for example, -6dB). The Hodrick-Prescott filter's channel width of -6dB is calculated as follows: wc = 2*arcsin(0.5/lambda^0.25). The channel width of -6dB for the SMA filter is calculated by numerical computing via the following equation: |H(w)| = sin(nx*wc/2)/sin(wc/2)/nx = 0.5 Prediction algorithms: The indicator features the two prediction methods: Metod 1: 1. Set SMA length to 3 and shift it to the past by 1 bar. With such a length, the shifted SMA does not exist only for the last bar (Bar = 0), since it needs the value of the next future price Close(-1). 2. Calculate SMA filer's channel width. Equal it to the Hodrick-Prescott filter's one. Find lambda. 3. Calculate Hodrick-Prescott filter value at the last bar HP(0) and assume that SMA(0) with unknown Close(-1) gives the same value. 4. Find Close(-1) = 3*HP(0) - Close(0) - Close(1) 5. Increase the length of SMA to 5. Repeat all calculations and find Close(-2) = 5*HP(0) - Close(-1) - Close(0) - Close(1) - Close(2). Continue till the specified amount of future FutBars prices is calculated. Method 2: 1. Set SMA length equal to 2*FutBars+1 and shift SMA to the past by FutBars 2. Calculate SMA filer's channel width. Equal it to the Hodrick-Prescott filter's one. Find lambda. 3. Calculate Hodrick-Prescott filter values at the last FutBars and assume that SMA behaves similarly when new prices appear. 4. Find Close(-1) = (2*FutBars+1)*HP(FutBars-1) - Sum(Close(i),i=0..2*FutBars-1), Close(-2) = (2*FutBars+1)*HP(FutBars-2) - Sum(Close(i),i=-1..2*FutBars-2), etc. The indicator features the following inputs: Method - prediction method Last Bar - number of the last bar to check predictions on the existing prices (LastBar >= 0) Past Bars - amount of previous bars the Hodrick-Prescott filter is calculated for (the more, the better, or at least PastBars>2*FutBars) Future Bars - amount of predicted future values The second method is more accurate but often has large spikes of the first predicted price. For our purposes here, this price has been filtered from being displayed in the chart. This is why method two starts its prediction 2 bars later than method 1. The described prediction method can be improved by searching for the FIR filter with the frequency parameter closer to the Hodrick-Prescott filter. For example, you may try Hanning, Blackman, Kaiser, and other filters with constant delay instead of SMA. Related indicators Itakura-Saito Autoregressive Extrapolation of Price Helme-Nikias Weighted Burg AR-SE Extra. of Price Weighted Burg AR Spectral Estimate Extrapolation of Price Levinson-Durbin Autocorrelation Extrapolation of Price Fourier Extrapolator of Price w/ Projection Forecast
Chỉ báo Pine Script™
bởi loxx
Moving Averages RefurbishedIntroduction This is a collection of multiple moving averages, where you can have a rainbow of moving averages with different types that can be defined by the user. There are already other indicators in this rainbow style, however certain averages are absent in certain indicators and present in others, needing the merge to have a more complete solution. Resources Here there is the possibility to individually define each moving average. In addition, it is possible to adjust some details, such as themes, coloring and periods. Regarding the calculation of averages, credit goes to the following authors. What I've done here is to group these averages together and allow them to combine. Credits TradingView PineCoders CrackingCryptocurrency MightyZinger Alex Orekhov (everget) alexgrover paragjyoti2012 Moving averages available 1. Exponential Moving Average 2. Simple Moving Average 3. Relative Moving Average 4. Weighted Moving Average 5. Ehlers Dynamic Smoothed Moving Average 6. Double Exponential Moving Average 7. Triple Exponential Moving Average 8. Smoothed Moving Average 9. Hull Moving Average 10. Fractal Adaptive Moving Average 11. Kaufman's Adaptive Moving Average 12. Volatility Adjusted Moving Average 13. Jurik Moving Average 14. Optimized Exponential Moving Average 15. Exponential Hull Moving Average 16. Arnaud Legoux Moving Average 17. Coefficient of Variation Weighted Exponential Moving Average 18. Coefficient of Variation Weighted Moving Average 19. * Ehlrs Modified Fractal Adaptive Moving Average 20. Exponential Triangular Moving Average 21. Least Squares Moving Average 22. RSI Moving average 23. Simple Triangular Moving Average 24. Triple Hull Moving Average 25. Variable Index Dynamic Average 26. Volume-weighted Moving Average 27. Zero-Lag Exponential Moving Average 28. Zero-Lag Simple Moving Average 29. Elastic Volume Weighted Moving Average 30. Tillson T3 31. Geometric Moving Average 32. Welles Wilder Moving Average 33. Adjusted Moving Average 34. Corrective Moving average 35. Exponentially Deviating Moving Average 36. EMA Range 37. Sine-Weighted Moving Average 38. Adaptive Moving Average TABLE 39. Following Adaptive Moving Average 40. Hilbert based Kaufman's Adaptive Moving Average 41. Median 42. * VWAP 43. * Rolling VWAP 44. Triangular Simple Moving Average 45. Triangular Exponential Moving Average 46. ​​Moving Average Price Correlation 47. Regularized Exponential Moving Average 48. Repulsion Moving Average 49. * Symmetrically Weighted Moving Average * fixed period averages
Chỉ báo Pine Script™
bởi andre_007
4
Moving Averages Proximity Oscillator [LuxAlgo]This indicator returns the percentage or count of prices greater than simple moving averages with periods in a user set range, as well as the moving average period that is the closest to price values. Settings Minimum Length: Minimum SMA period Maximum Length: Maximum SMA period Smooth: Control the degree of smoothness of the indicator outputs Normalized: Normalize the indicator outputs in a range (0, 100) Src: Input source of the indicator Usage The indicator returns two outputs. The "Price Above MA's" output returns for a current price value the number of times this one is greater than simple moving averages with periods ranging from Minimum Length to Maximum Length . This oscillator can be expressed as a percentage if Normalized is selected. This oscillator allows identifying the direction of an underlying trend in the price. Higher Minimum Length and Maximum Length settings will return indications regarding longer term price variations, while shorter ranges will return less detailed outputs. This can be seen in the chart above where Minimum Length = 80 to Maximum Length = 100 . The "Proximity Index" output on the other end does not return information regarding the direction of an underlying trend but the period of the simple moving average with periods ranging from Minimum Length to Maximum Length that is the closest to the current price value. For various simple moving averages of differing periods, we can see that SMA's with shorter periods will tend to stay closer to the price, when price start reverting it will reach higher periods moving averages. As such, this second indicator output can help identify the start of new trends, with higher values indicating price is reverting toward longer-term moving averages, suggesting a new trend forming.
Chỉ báo Pine Script™
bởi LuxAlgo
8