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GKD-B Baseline [Loxx]Giga Kaleidoscope Baseline is a Baseline module included in Loxx's "Giga Kaleidoscope Modularized Trading System". What is Loxx's "Giga Kaleidoscope Modularized Trading System"? The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading. What is an NNFX algorithmic trading strategy? The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm: 1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc. 2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above) 3. Confirmation 1 - a technical indicator used to identify trend. This should agree with the "Baseline" 4. Confirmation 2 - a technical indicator used to identify trend. This filters/verifies the trend identified by "Baseline" and "Confirmation 1" 5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown. 6. Exit - a technical indicator used to determine when trend is exhausted. How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above? Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are: 1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm) 2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm) 3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm) 4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm) 5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm) (additional module types will added in future releases) Each module interacts with every module by passing data between modules. Data is passed between each module as described below: GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy. This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm. What does the application of the GKD trading system look like? Example trading system: Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles Baseline: Hull Moving Average as shown on the chart above Volatility/Volume: Jurik Volty Confirmation 1: Vortex Confirmation 2: Fisher Transform Exit: Rex Oscillator Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain. Now that you have a general understanding of the NNFX algorithm and the GKD trading system. let's go over what's inside the GKD-B Baseline itself. GKD Baseline Special Features and Notable Inputs GKD Baseline v1.0 includes 63 different moving averages: Adaptive Moving Average - AMA ADXvma - Average Directional Volatility Moving Average Ahrens Moving Average Alexander Moving Average - ALXMA Deviation Scaled Moving Average - DSMA Donchian Double Exponential Moving Average - DEMA Double Smoothed Exponential Moving Average - DSEMA Double Smoothed FEMA - DSFEMA Double Smoothed Range Weighted EMA - DSRWEMA Double Smoothed Wilders EMA - DSWEMA Double Weighted Moving Average - DWMA Ehlers Optimal Tracking Filter - EOTF Exponential Moving Average - EMA Fast Exponential Moving Average - FEMA Fractal Adaptive Moving Average - FRAMA Generalized DEMA - GDEMA Generalized Double DEMA - GDDEMA Hull Moving Average (Type 1) - HMA1 Hull Moving Average (Type 2) - HMA2 Hull Moving Average (Type 3) - HMA3 Hull Moving Average (Type 4) - HMA4 IE /2 - Early T3 by Tim Tilson Integral of Linear Regression Slope - ILRS Instantaneous Trendline Kalman Filter Kaufman Adaptive Moving Average - KAMA Laguerre Filter Leader Exponential Moving Average Linear Regression Value - LSMA ( Least Squares Moving Average ) Linear Weighted Moving Average - LWMA McGinley Dynamic McNicholl EMA Non-Lag Moving Average Ocean NMA Moving Average - ONMAMA Parabolic Weighted Moving Average Probability Density Function Moving Average - PDFMA Quadratic Regression Moving Average - QRMA Regularized EMA - REMA Range Weighted EMA - RWEMA Recursive Moving Trendline Simple Decycler - SDEC Simple Jurik Moving Average - SJMA Simple Moving Average - SMA Sine Weighted Moving Average Smoothed LWMA - SLWMA Smoothed Moving Average - SMMA Smoother Super Smoother T3 Three-pole Ehlers Butterworth Three-pole Ehlers Smoother Triangular Moving Average - TMA Triple Exponential Moving Average - TEMA Two-pole Ehlers Butterworth Two-pole Ehlers smoother Variable Index Dynamic Average - VIDYA Variable Moving Average - VMA Volume Weighted EMA - VEMA Volume Weighted Moving Average - VWMA Zero-Lag DEMA - Zero Lag Exponential Moving Average Zero-Lag Moving Average Zero Lag TEMA - Zero Lag Triple Exponential Moving Average Adaptive Moving Average - AMA Description. The Adaptive Moving Average (AMA) is a moving average that changes its sensitivity to price moves depending on the calculated volatility. It becomes more sensitive during periods when the price is moving smoothly in a certain direction and becomes less sensitive when the price is volatile. ADXvma - Average Directional Volatility Moving Average Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator. The ADXvma has the SMA in Chande's CMO replaced with an EMA , it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated. A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA . The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move. Ahrens Moving Average Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows. Alexander Moving Average - ALXMA This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile. Deviation Scaled Moving Average - DSMA The Deviation-Scaled Moving Average is a data smoothing technique that acts like an exponential moving average with a dynamic smoothing coefficient. The smoothing coefficient is automatically updated based on the magnitude of price changes. In the Deviation-Scaled Moving Average, the standard deviation from the mean is chosen to be the measure of this magnitude. The resulting indicator provides substantial smoothing of the data even when price changes are small while quickly adapting to these changes. Donchian Donchian Channels are three lines generated by moving average calculations that comprise an indicator formed by upper and lower bands around a midrange or median band. The upper band marks the highest price of a security over N periods while the lower band marks the lowest price of a security over N periods. Double Exponential Moving Average - DEMA The Double Exponential Moving Average ( DEMA ) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag. Double Smoothed Exponential Moving Average - DSEMA The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA . It's also considered a leading indicator compared to the EMA , and is best utilized whenever smoothness and speed of reaction to market changes are required. Double Smoothed FEMA - DSFEMA Same as the Double Exponential Moving Average (DEMA), but uses a faster version of EMA for its calculation. Double Smoothed Range Weighted EMA - DSRWEMA Range weighted exponential moving average (EMA) is, unlike the "regular" range weighted average calculated in a different way. Even though the basis - the range weighting - is the same, the way how it is calculated is completely different. By definition this type of EMA is calculated as a ratio of EMA of price*weight / EMA of weight. And the results are very different and the two should be considered as completely different types of averages. The higher than EMA to price changes responsiveness when the ranges increase remains in this EMA too and in those cases this EMA is clearly leading the "regular" EMA. This version includes double smoothing. Double Smoothed Wilders EMA - DSWEMA Welles Wilder was frequently using one "special" case of EMA (Exponential Moving Average) that is due to that fact (that he used it) sometimes called Wilder's EMA. This version is adding double smoothing to Wilder's EMA in order to make it "faster" (it is more responsive to market prices than the original) and is still keeping very smooth values. Double Weighted Moving Average - DWMA Double weighted moving average is an LWMA (Linear Weighted Moving Average). Instead of doing one cycle for calculating the LWMA, the indicator is made to cycle the loop 2 times. That produces a smoother values than the original LWMA Ehlers Optimal Tracking Filter - EOTF The Elher's Optimum Tracking Filter quickly adjusts rapid shifts in the price and yet is relatively smooth when the price has a sideways action. The operation of this filter is similar to Kaufman’s Adaptive Moving Average Exponential Moving Average - EMA The EMA places more significance on recent data points and moves closer to price than the SMA ( Simple Moving Average ). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA . Fast Exponential Moving Average - FEMA An Exponential Moving Average with a short look-back period. Fractal Adaptive Moving Average - FRAMA The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry. Generalized DEMA - GDEMA The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages.". Instead of using fixed multiplication factor in the final DEMA formula, the generalized version allows you to change it. By varying the "volume factor" form 0 to 1 you apply different multiplications and thus producing DEMA with different "speed" - the higher the volume factor is the "faster" the DEMA will be (but also the slope of it will be less smooth). The volume factor is limited in the calculation to 1 since any volume factor that is larger than 1 is increasing the overshooting to the extent that some volume factors usage makes the indicator unusable. Generalized Double DEMA - GDDEMA The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages''. This is an extension of the Generalized DEMA using Tim Tillsons (the inventor of T3) idea, and is using GDEMA of GDEMA for calculation (which is the "middle step" of T3 calculation). Since there are no versions showing that middle step, this version covers that too. The result is smoother than Generalized DEMA, but is less smooth than T3 - one has to do some experimenting in order to find the optimal way to use it, but in any case, since it is "faster" than the T3 (Tim Tillson T3) and still smooth, it looks like a good compromise between speed and smoothness. Hull Moving Average (Type 1) - HMA1 Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMA for smoothing. Hull Moving Average (Type 2) - HMA2 Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses EMA for smoothing. Hull Moving Average (Type 3) - HMA3 Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses LWMA for smoothing. Hull Moving Average (Type 4) - HMA4 Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMMA for smoothing. IE /2 - Early T3 by Tim Tilson and T3 new T3 is basically an EMA on steroids, You can read about T3 here: Integral of Linear Regression Slope - ILRS A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA ( Simple Moving Average ) of length N, which is actually the midpoint of the linear regression line as it moves across the data. Instantaneous Trendline The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading. Kalman Filter Kalman filter is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies. This means that the filter was originally designed to work with noisy data. Also, it is able to work with incomplete data. Another advantage is that it is designed for and applied in dynamic systems; our price chart belongs to such systems. This version is true to the original design of the trade-ready Kalman Filter where velocity is the triggering mechanism. Kalman Filter is a more accurate smoothing/prediction algorithm than the moving average because it is adaptive: it accounts for estimation errors and tries to adjust its predictions from the information it learned in the previous stage. Theoretically, Kalman Filter consists of measurement and transition components. Kaufman Adaptive Moving Average - KAMA Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. Laguerre Filter The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation. Adjusting the Alpha coefficient is used to increase or decrease its lag and its smoothness. Leader Exponential Moving Average The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter. Linear Regression Value - LSMA ( Least Squares Moving Average ) LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down. Linear Weighted Moving Average - LWMA LWMA reacts to price quicker than the SMA and EMA . Although it's similar to the Simple Moving Average , the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion. McGinley Dynamic John McGinley created this Moving Average to track prices better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets. McNicholl EMA Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws. Non-lag moving average The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals. Ocean NMA Moving Average - ONMAMA Created by Jim Sloman, the NMA is a moving average that automatically adjusts to volatility without being programmed to do so. For more info, read his guide "Ocean Theory, an Introduction" Parabolic Weighted Moving Average The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average . The Linear Weighted Moving Average calculates the average by assigning different weights to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator. Probability Density Function Moving Average - PDFMA Probability density function based MA is a sort of weighted moving average that uses probability density function to calculate the weights. By its nature it is similar to a lot of digital filters. Quadratic Regression Moving Average - QRMA A quadratic regression is the process of finding the equation of the parabola that best fits a set of data. This moving average is an obscure concept that was posted to Forex forums in around 2008. Regularized EMA - REMA The regularized exponential moving average (REMA) by Chris Satchwell is a variation on the EMA (see Exponential Moving Average) designed to be smoother but not introduce too much extra lag. Range Weighted EMA - RWEMA This indicator is a variation of the range weighted EMA. The variation comes from a possible need to make that indicator a bit less "noisy" when it comes to slope changes. The method used for calculating this variation is the method described by Lee Leibfarth in his article "Trading With An Adaptive Price Zone". Recursive Moving Trendline Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrow's price. Simple Decycler - SDEC The Ehlers Simple Decycler study is a virtually zero-lag technical indicator proposed by John F. Ehlers. The original idea behind this study (and several others created by John F. Ehlers) is that market data can be considered a continuum of cycle periods with different cycle amplitudes. Thus, trending periods can be considered segments of longer cycles, or, in other words, low-frequency segments. Applying the right filter might help identify these segments. Simple Loxx Moving Average - SLMA A three stage moving average combining an adaptive EMA, a Kalman Filter, and a Kauffman adaptive filter. Simple Moving Average - SMA The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA . Sine Weighted Moving Average The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average). Smoothed LWMA - SLWMA A smoothed version of the LWMA Smoothed Moving Average - SMMA The Smoothed Moving Average is similar to the Simple Moving Average ( SMA ), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen as an accurate yet laggy Moving Average. Smoother The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA ( Smoothed Moving Average ). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm. Super Smoother The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a Two pole Butterworth filter combined with a 2-bar SMA ( Simple Moving Average ) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence. Three-pole Ehlers Butterworth The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA . They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing. Three-pole Ehlers smoother The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth. Triangular Moving Average - TMA The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data. Triple Exponential Moving Average - TEMA The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, its signals are considered very noisy and should only be used in extremely fast-paced trading conditions. Two-pole Ehlers Butterworth The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded. Two-pole Ehlers smoother A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers . Variable Index Dynamic Average - VIDYA Variable Index Dynamic Average Technical Indicator ( VIDYA ) was developed by Tushar Chande. It is an original method of calculating the Exponential Moving Average ( EMA ) with the dynamically changing period of averaging. Variable Moving Average - VMA The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility. Volume Weighted EMA - VEMA An EMA that uses a volume and price weighted calculation instead of the standard price input. Volume Weighted Moving Average - VWMA A Volume Weighted Moving Average is a moving average where more weight is given to bars with heavy volume than with light volume. Thus the value of the moving average will be closer to where most trading actually happened than it otherwise would be without being volume weighted. Zero-Lag DEMA - Zero Lag Double Exponential Moving Average John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence. Zero-Lag Moving Average The Zero Lag Moving Average is described by its creator, John Ehlers , as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average. Zero-Lag TEMA - Zero Lag Triple Exponential Moving Average Just like the Zero Lag DEMA , this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators. Exotic Triggers This version of Baseline allows the user to select from exotic or source triggers. An exotic trigger determines trend by either slope or some other mechanism that is special to each moving average. A source trigger is one of 32 different source types from Loxx's Exotic Source Types. You can read about these source types here: Volatility Goldie Locks Zone This volatility filter is the standard first pass filter that is used for all NNFX systems despite the additional volatility/volume filter used in step 5. For this filter, price must fall into a range of maximum and minimum values calculated using multiples of volatility. Unlike the standard NNFX systems, this version of volatility filtering is separated from the core Baseline and uses it's own moving average with Loxx's Exotic Source Types. The green and red dots at the top of the chart denote whether a candle qualifies for a either or long or short respectively. The green and red triangles at the bottom of the chart denote whether the trigger has crossed up or down and qualifies inside the Goldie Locks zone. White coloring of the Goldie Locks Zone mean line is where volatility is too low to trade. Volatility Types Included v1.0 Included Volatility Close-to-Close Close-to-Close volatility is a classic and most commonly used volatility measure, sometimes referred to as historical volatility . Volatility is an indicator of the speed of a stock price change. A stock with high volatility is one where the price changes rapidly and with a bigger amplitude. The more volatile a stock is, the riskier it is. Close-to-close historical volatility calculated using only stock's closing prices. It is the simplest volatility estimator. But in many cases, it is not precise enough. Stock prices could jump considerably during a trading session, and return to the open value at the end. That means that a big amount of price information is not taken into account by close-to-close volatility . Despite its drawbacks, Close-to-Close volatility is still useful in cases where the instrument doesn't have intraday prices. For example, mutual funds calculate their net asset values daily or weekly, and thus their prices are not suitable for more sophisticated volatility estimators. Parkinson Parkinson volatility is a volatility measure that uses the stock’s high and low price of the day. The main difference between regular volatility and Parkinson volatility is that the latter uses high and low prices for a day, rather than only the closing price. That is useful as close to close prices could show little difference while large price movements could have happened during the day. Thus Parkinson's volatility is considered to be more precise and requires less data for calculation than the close-close volatility . One drawback of this estimator is that it doesn't take into account price movements after market close. Hence it systematically undervalues volatility . That drawback is taken into account in the Garman-Klass's volatility estimator. Garman-Klass Garman Klass is a volatility estimator that incorporates open, low, high, and close prices of a security. Garman-Klass volatility extends Parkinson's volatility by taking into account the opening and closing price. As markets are most active during the opening and closing of a trading session, it makes volatility estimation more accurate. Garman and Klass also assumed that the process of price change is a process of continuous diffusion (Geometric Brownian motion). However, this assumption has several drawbacks. The method is not robust for opening jumps in price and trend movements. Despite its drawbacks, the Garman-Klass estimator is still more effective than the basic formula since it takes into account not only the price at the beginning and end of the time interval but also intraday price extremums. Researchers Rogers and Satchel have proposed a more efficient method for assessing historical volatility that takes into account price trends. See Rogers-Satchell Volatility for more detail. Rogers-Satchell Rogers-Satchell is an estimator for measuring the volatility of securities with an average return not equal to zero. Unlike Parkinson and Garman-Klass estimators, Rogers-Satchell incorporates drift term (mean return not equal to zero). As a result, it provides a better volatility estimation when the underlying is trending. The main disadvantage of this method is that it does not take into account price movements between trading sessions. It means an underestimation of volatility since price jumps periodically occur in the market precisely at the moments between sessions. A more comprehensive estimator that also considers the gaps between sessions was developed based on the Rogers-Satchel formula in the 2000s by Yang-Zhang. See Yang Zhang Volatility for more detail. Yang-Zhang Yang Zhang is a historical volatility estimator that handles both opening jumps and the drift and has a minimum estimation error. We can think of the Yang-Zhang volatility as the combination of the overnight (close-to-open volatility ) and a weighted average of the Rogers-Satchell volatility and the day’s open-to-close volatility . It considered being 14 times more efficient than the close-to-close estimator. Garman-Klass-Yang-Zhang Garman-Klass-Yang-Zhang (GKYZ) volatility estimator consists of using the returns of open, high, low, and closing prices in its calculation. GKYZ volatility estimator takes into account overnight jumps but not the trend, i.e. it assumes that the underlying asset follows a GBM process with zero drift. Therefore the GKYZ volatility estimator tends to overestimate the volatility when the drift is different from zero. However, for a GBM process, this estimator is eight times more efficient than the close-to-close volatility estimator. Exponential Weighted Moving Average The Exponentially Weighted Moving Average (EWMA) is a quantitative or statistical measure used to model or describe a time series. The EWMA is widely used in finance, the main applications being technical analysis and volatility modeling. The moving average is designed as such that older observations are given lower weights. The weights fall exponentially as the data point gets older – hence the name exponentially weighted. The only decision a user of the EWMA must make is the parameter lambda. The parameter decides how important the current observation is in the calculation of the EWMA. The higher the value of lambda, the more closely the EWMA tracks the original time series. Standard Deviation of Log Returns This is the simplest calculation of volatility . It's the standard deviation of ln(close/close(1)) Pseudo GARCH(2,2) This is calculated using a short- and long-run mean of variance multiplied by θ. θavg(var ;M) + (1 − θ) avg (var ;N) = 2θvar/(M+1-(M-1)L) + 2(1-θ)var/(M+1-(M-1)L) Solving for θ can be done by minimizing the mean squared error of estimation; that is, regressing L^-1var - avg (var; N) against avg (var; M) - avg (var; N) and using the resulting beta estimate as θ. Average True Range The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period. The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges. True Range Double A special case of ATR that attempts to correct for volatility skew. Additional features will be added in future releases. This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
Indikator Pine Script®
oleh loxx
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The Flower - Multiple Strategy Options in OneStrategy Overview This strategy code currently includes four separate strategies to be used to either aid in discretionary trading or to be used algorithmically through the third-party system Profitview (profitview.app). Support for Pineconnector for use with MetaTrader 4 is in the works. The strategies have been designed with cryptocurrency trading in mind, however, the fundamentals apply to other assets. The four strategies currently included are labeled “TSI Cross” (the default setting), “Oscillator Bands”, “Scalping”, and “McG/MA Cross”. Detailed information for each independent strategy can be found below, including sample settings configurations for each. A dropdown menu to select the strategy can be found under the “Strategy Options” set of settings under the Input tab of the strategy settings menu. Additionally, the option to receive only long or short signals can be found alongside the Strategy Choice menu. Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The only visuals associated with the strategy are two McGinley Dynamic lines, red (slow length) and green (fast length). These are relevant to the McGinley Cross strategy, but can be used alongside the other strategies if desired. When viewing the backtesting data in the TradingView Strategy Tester, ensure that “use bar magnifier” is activated. This option can be found in the Properties tab of the strategy settings menu. Profitview Settings If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. A sample of our Profitview syntax can be found below. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. Strategy Choices As mentioned above, this strategy code contains four separate strategy options. A detailed breakdown of each follows below: Total Strength Index (TSI) Cross This strategy option is the default choice. The main signal involved in this strategy is a crossover or crossunder of the TSI value line and TSI signal line, however, there are a few other signals involved in the creation of a long or short entry. In addition to the TSI, the strategy includes an Average Directional Index (ADX) threshold value, Jurik Volatility Bands (JVB), a Stoch RSI threshold, and an oscillator of choice in conjunction with a threshold of 0. This oscillator choice can be selected under the “Signal Options” menu in the Input tab of the strategy settings. The default oscillator is the Detrended Price Oscillator (DPO), though the option for Chande Momentum (CMO) or Rate of Change (RoC) are both viable for this strategy. Individual settings for these can be found in the Input tab under “Oscillator Settings” (TSI, Stoch RSI, DPO, CMO, ROC), “Band/Channel Settings” (Jurik Volatility Bands Length/Smoothing), and “Directional Settings” (ADX Smoothing Long, DI Length Short, ADX Threshold). Sample settings for SOLUSDT using the 20M timeframe: - Oscillator Settings -- DPO Length (21), DPO *not* centered, RSI (Stoch) Length (4), Stochastic Length (4), TSI Long Length (25), TSI Short Length (13), TSI Signal Length (13), K (3), D (3) - Band/Channel Settings -- Jurik Volatility Bands Length (25), Jurik Volatility Bands Smoothing (5) - Directional Settings – JVB Price Threshold (0), ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (23) - Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL Oscillator Bands This strategy involves the usage of bands or channels that use oscillators as a source input. The main signal for this strategy derives from a cross of the band or channel and a hline of 0. Additionally, this includes a “Directional Filter” and a “MA Filter”. The selections for all of these can be found in the “Signal Options” section of the Input tab. First option is for Oscillator Choice and includes DPO, CMO, ROC, RSI, TSI, and the Jurik price line. The individual settings for these can be found in the “Oscillator Settings” section. Different channels can be selected for the upper or lower bands, though it is not necessary for them to differ. These current options include Bollinger Bands and Jurik Volatility Bands, the individual settings for each found in the “Band/Channel Settings” section. Next is the MA Filter, of which you can select SMA, EMA, SMMA, WMA, VWMA, KAMA, JMA, or McGinley Dynamic. All options for these settings can be found in the “MA Filter Settings” section. Lastly, the Directional Filters can be selected for either direction like the upper/lower band selection. These filters include the ADX, Bull-Bear Power (BBP), Parabolic SAR (PSAR), or Jurik. Sample settings for WAVESUSDT using the 20M timeframe: - Oscillator Choice – DPO (Length – 30, uncentered) - Upper and Lower Band – JVB Upper/Lower (Jurik Volatility Bands Length – 25; Smoothing – 10) - MA Filter – VWMA – (MA Length – 40; Source – Open) - Directional Filter – ADX (ADX Smoothing Long – 14; DI Length Short – 5; ADX Threshold – 22) - Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL Scalping This strategy heavily relies on the usage of Parabolic SAR, accompanied by a “Directional Filter” (as discussed in the previous section) other than PSAR. This strategy can provide a higher frequency of trades as opposed to the other strategies available, however, it comes with slightly higher risk inherently. A riskier take profit/stop loss spread is recommended here, though risk should always be managed. The settings required for this strategy are all found under the “Directional Settings” section of the strategy inputs. Sample settings for NEARUSDT using the 20M timeframe: - Directional Filter set to ADX - Directional Settings – ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (22), PSAR Start Value (0.02), PSAR Increment (0.005), PSAR Max Value (0.15), PSAR Source (Close) - Take Profit/Stop Loss – 0.75% TP, 0.005% TTP, 1.5% SL McGinley Cross This strategy revolves around the crossing of two McGinley Dynamic lines of varying lengths alongside an ADX filter as well as a DPO filter. McGinley is used as opposed to a standard moving average cross strategy as it adjusts for shifts in market speed and can better gauge market trends. The McGinley length settings can be found with the “MA Filter” settings, labeled as Fast Length and Slow Length. The fast length number should be smaller than the slow length. Sample settings for SOLUSDT using the 20M timeframe: - Oscillator Settings – DPO Length (30), uncentered - MA Filter Settings – McGinley Fast Length (4), McGinley Slow Length (21) - Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.4% SL Comprehensive Settings List Date and Time: From date and to date, adjustable for backtesting purposes. Signal Options: Oscillator Choices: Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Rate of Change (ROC), Relative Strength Index (RSI), True Strength Index (TSI), Jurik Volatility Bands Priceline (JVB) – *** for use with TSI Cross or Oscillator Bands strategies only *** Upper and Lower Band/Channel Choices: Bollinger Bands (BB) or Jurik Volatility Bands (JVB) -- *** for use with Oscillator Bands strategy only *** MA/McG Filter: SMA, EMA, RMA, WMA, VWMA, Kaufmann MA, Jurik MA, McGinley Dynamic -- *** for use with Oscillator Bands strategy only *** Directional Filter Long/Short: Average Directional Index (ADX), Bull/Bear Power (BBP), Parabolic SAR (PSAR), Jurik -- *** for use with Oscillator Bands strategy only *** Profitview Settings: *** For use with ProfitView extension only, otherwise ignore *** Oscillator Settings: *** For use with TSI Cross, Oscillator Bands, and McGinley Cross strategies *** CMO Length, CMO Source – for Chande Momentum Oscillator DPO Length, DPO Centered – for Detrended Price Oscillator RoC Length, RoC Source – for Rate of Change RSI Length, RSI MA Length – for Relative Strength Index RSI (Stoch) Length, Stochastic Length, Stoch RSI Source, K, D – for Stochastic RSI TSI Long Length, TSI Short Length, TSI Signal Length – for True Strength Index Band/Channel Settings: *** For use with Oscillator Bands strategy *** Jurik Volatility Bands Length, Jurik Volatility Bands Smoothing – for Jurik Volatility Bands Bollinger Band Length, Bollinger Band Multiplier – for Bollinger Bands Directional Settings: *** For use with Scalping and Oscillator Bands strategies *** JVB Price Threshold – for Jurik Volatility as a directional setting ADX Smoothing Long, DI Length Short, ADX Threshold – for Average Directional Index PSAR Start Value, PSAR Increment, PSAR Max Value, PSAR Source – for Parabolic SAR MA Filter Settings: *** For use with Oscillator Bands and McGinley Cross strategies *** McGinley Fast/Slow Length – for McGinley Dynamic MA Length, MA Source, MA Offset – for any other moving average TP and TTP / Stop Loss: *** For use with ALL strategies *** Long/Short Take Profit % -- for standard take profit settings Enable Trailing, Trailing Take Profit % -- for trailing settings Stop Loss % -- for standard stop loss settings; trailing can be enabled or disabled for stop loss Disclaimers: Some open-source code has been included -- Jurik Volatility Bands (by "ProValueTrader") and Trailing Take Profit/Stop Loss code (by jason5480). Additional code was used from the TradingView built-ins. These strategies do NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading. Invites to the strategy will only be disseminated to those with express consent and knowledge of the invite prior to the action itself.
Strategi Pine Script®
oleh LeafAlgo
3
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications. ________________________________________________________________ Included moving averages ADXvma - Average Directional Volatility Moving Average Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator. The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated. A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA. The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move. Ahrens Moving Average Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows. Alexander Moving Average - ALXMA This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile. Double Exponential Moving Average - DEMA The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag. Double Smoothed Exponential Moving Average - DSEMA The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required. Exponential Moving Average - EMA The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA. Fast Exponential Moving Average - FEMA An Exponential Moving Average with a short look-back period. Fractal Adaptive Moving Average - FRAMA The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry. Hull Moving Average - HMA Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. IE/2 - Early T3 by Tim Tilson The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator". Integral of Linear Regression Slope - ILRS A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data. Instantaneous Trendline The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading. Laguerre Filter The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation. Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness. Leader Exponential Moving Average The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter. Linear Regression Value - LSMA (Least Squares Moving Average) LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down. Linear Weighted Moving Average - LWMA LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion. McGinley Dynamic John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets. McNicholl EMA Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws. Non lag moving average The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals. Parabolic Weighted Moving Average The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator. Recursive Moving Trendline Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price. Simple Moving Average - SMA The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA. Sine Weighted Moving Average The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average). Smoothed Moving Average - SMMA The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average. Smoother The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm. Super Smoother The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence. Three pole Ehlers Butterworth The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing. Three pole Ehlers smoother The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth. Triangular Moving Average - TMA The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data. The TMA and Sine Weighted Moving Average Filter are almost identical at times. Triple Exponential Moving Average - TEMA The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions. Two pole Ehlers Butterworth The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded. Two pole Ehlers smoother A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers. Volume Weighted EMA - VEMA Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements. Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings. Zero Lag DEMA - Zero Lag Double Exponential Moving Average John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence. Zero Lag Moving Average The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average. Zero Lag TEMA - Zero Lag Triple Exponential Moving Average Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators. ________________________________________________________________ What are Heiken Ashi "better" candles? The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.) They proposed to use the following: (Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2)) instead of using : haClose = (O+H+L+C)/4 According to that document the HA representation using their proposed formula is better than the traditional formula. What are traditional Heiken-Ashi candles? The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise. Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data. Expanded generic source types: Close = close Open = open High = high Low = low Median = hl2 Typical = hlc3 Weighted = hlcc4 Average = ohlc4 Average Median Body = (open+close)/2 Trend Biased = (see code, too complex to explain here) Trend Biased (extreme) = (see code, too complex to explain here) Included: -Toggle bar color on/off -Toggle signal line on/off
Indikator Pine Script®
oleh loxx
7
Supply and Demand Zone IndicatorOVERVIEW The supply and demand zone indicator shows real-time supply and demand zones on the chart. It also plots a table including the high and low values of the zones. The last row of the table also shows the daily trend in the market. CONCEPTS What is Supply & Demand? Supply and Demand represent the two most powerful forces of the forex market. Demand means the number of buyers buying a security in the market. Supply means the number of sellers selling a security in the market. How to identify supply and demand zones? Supply and Demand zones are formed on the base region of price on the chart. There are two types of movement of price in technical analysis. Impulsive wave Retracement wave The impulsive wave represents the price movement of market makers. The Retracement wave indicates base regions where market makers decide their next direction to go up or down. There are four fundamental concepts of Demand and supply in forex. Rally Base Rally (RBR) Rally Base Drop (RBD) Drop Base Rally (DBR) Drop Base Drop (DBD) How does supply & demand indicator work? Our supply & demand indicator will use a simple formula based on price action to plot the zones. It will plot the zone on the base candles using the high and low of the base zone. Base candle = a candlestick that has a small body and big shadows like a Doji candlestick. Big candle = a candlestick with a large body and small shadows. The zone will be drawn on the high and low of the base candlestick. There can be more than one base candlesticks in the base zone, but our indicator will identify the maximum of 4 base candlesticks. FEATURES Specify desired Big Body Candle Size Percentage Specify desired Small Body Candle Size Percentage Change the Colors of Zones at your own will The Indicator Draws the latest zones and puts a label on historical Zones The Indicator Draws real-time Zones under specified conditions of candle body sizes. The Zone will stop once the candlestick closes above the supply zone or below demand zones. Recommended Timeframe Above 30 Minutes
Indikator Pine Script®
oleh ForexBee
71
CCT ScalperThis indicator composes of 4 scalping lines, which works great for scalping, short-term day trading and swing trading. What it does. This is a simple scalping strategy based on rejection. Buy and Sell scalp entries are given when the market rejects off the CCT Scalper indicator. Consolidation signals are also present when there is no trend. How it does it. These Scalper lines have been adjusted to work best with the CCT Entry Bar indicator. It calculates rejection and entries after our Entry Bar confirms the current trend. How to use it. It is extremely important to use the CCT Scalper indicator together with the CCT Entry Bar Indicator. The CCT Scalper entry strategy is applied when buy and sell rejection signals are present. Only Buy scalps when the CCT Entry Bar shows bullish momentum. Only Sell scalps when the CCT Entry Bar shows bearish momentum. To access this indicator use the link below.
Indikator Pine Script®
oleh petrolhead71
DyorTool OscillatorWhat is the DyorTool Suite? It is a toolkit that helps the trader to trade the market emotionless, under any condition. This package is made of 3 scripts : DyorTool Premium DyorTool Oscillator DyorTool Dashboard What indicators are in these scripts? DyorTool Premium DyorTool Algo which gives buy and sell signals : 4 setups. The stats shown in the picture is set with a leverage of 0.4 on each trade with the commission of Binance ( without reduction ). Range : 4 setups Ribbon : 4 setups Aggressiv Scalping : Trend Following - low UT : 2 setups EVWMA : 4 setups Ping Pong scalping : 4 setups Support Line : 4 setups DyorTool Oscillator DyorTool RSI : 8 setups DyorTool Oscillator : 8 setups Smart candle color : Filter noise of the market DyorTool Dashboard Allows the user to feel the market sentiment with a custom candle Measure the volatility of the market Show DyorTool Algo trend Show the momentum trend and measure his evolution. Smart Stop Loss and Leverage calculation in order to not get in a trade if you are late, or to protect your capital. All these indicators allow users to : Trade the market easier, within a clearly defined framework - range. Detect macro trend and the nearby momentum Get early in a trade by entering in a trade with one of the 42 setups explained. Have realistic target profit Protect your capital with a smart stop loss and calculate the leverage for a defined stop loss Detect if the market is with or against you so you are not holding more than you should. This package is unique in its kind and it is complete. You can either do scalping or day-trading with it. There are many different indicators in it. And a formation is given to explain in detail each indicator. This formation is easy to understand. As you saw, each indicator has its own setups. These setups are explained one by one, under what condition you can enter in a trade, how to do it, where to exit, what to understand about the market next. There is no interpretation possible. You are either in a setup or in a waiting zone. These indicators are self-sufficient. You don't have to use all of them, and not at the same time. You use the ones which fit you better.
Indikator Pine Script®
oleh DyorTool
DyorTool DashboardWhat is the DyorTool Suite? It is a toolkit that helps the trader to trade the market emotionless, under any condition. This package is made of 3 scripts : DyorTool Premium DyorTool Oscillator DyorTool Dashboard What indicators are in these scripts? DyorTool Premium DyorTool Algo which gives buy and sell signals : 4 setups. The stats shown in the picture is set with a leverage of 0.4 on each trade with the commission of Binance ( without reduction ). Range : 4 setups Ribbon : 4 setups Aggressiv Scalping : Trend Following - low UT : 2 setups EVWMA : 4 setups Ping Pong scalping : 4 setups Support Line : 4 setups DyorTool Oscillator DyorTool RSI : 8 setups DyorTool Oscillator : 8 setups Smart candle color : Filter noise of the market DyorTool Dashboard Allows the user to feel the market sentiment with a custom candle Measure the volatility of the market Show DyorTool Algo trend Show the momentum trend and measure his evolution. Smart Stop Loss and Leverage calculation in order to not get in a trade if you are late, or to protect your capital. All these indicators allow users to : Trade the market easier, within a clearly defined framework - range. Detect macro trend and the nearby momentum Get early in a trade by entering in a trade with one of the 42 setups explained. Have realistic target profit Protect your capital with a smart stop loss and calculate the leverage for a defined stop loss Detect if the market is with or against you so you are not holding more than you should. This package is unique in its kind and it is complete. You can either do scalping or day-trading with it. There are many different indicators in it. And a formation is given to explain in detail each indicator. This formation is easy to understand. As you saw, each indicator has its own setups. These setups are explained one by one, under what condition you can enter in a trade, how to do it, where to exit, what to understand about the market next. There is no interpretation possible. You are either in a setup or in a waiting zone. These indicators are self-sufficient. You don't have to use all of them, and not at the same time. You use the ones which fit you better.
Indikator Pine Script®
oleh DyorTool
3
DyorTool PremiumWhat is the DyorTool Suite? It is a toolkit that helps the trader to trade the market emotionless, under any condition. This package is made of 3 scripts : DyorTool Premium DyorTool Oscillator DyorTool Dashboard What indicators are in these scripts? DyorTool Premium DyorTool Algo which gives buy and sell signals : 4 setups. The stats shown in the picture is set with a leverage of 0.4 on each trade with the commission of Binance ( without reduction ). Range : 4 setups Ribbon : 4 setups Aggressiv Scalping : Trend Following - low UT : 2 setups EVWMA : 4 setups Ping Pong scalping : 4 setups Support Line : 4 setups DyorTool Oscillator DyorTool RSI : 8 setups DyorTool Oscillator : 8 setups Smart candle color : Filter noise of the market DyorTool Dashboard Allows the user to feel the market sentiment with a custom candle Measure the volatility of the market Show DyorTool Algo trend Show the momentum trend and measure his evolution. Smart Stop Loss and Leverage calculation in order to not get in a trade if you are late, or to protect your capital. All these indicators allow users to : Trade the market easier, within a clearly defined framework - range. Detect macro trend and the nearby momentum Get early in a trade by entering in a trade with one of the 42 setups explained. Have realistic target profit Protect your capital with a smart stop loss and calculate the leverage for a defined stop loss Detect if the market is with or against you so you are not holding more than you should. This package is unique in its kind and it is complete. You can either do scalping or day-trading with it. There are many different indicators in it. And a formation is given to explain in detail each indicator. This formation is easy to understand. As you saw, each indicator has its own setups. These setups are explained one by one, under what condition you can enter in a trade, how to do it, where to exit, what to understand about the market next. There is no interpretation possible. You are either in a setup or in a waiting zone. These indicators are self-sufficient. You don't have to use all of them, and not at the same time. You use the ones which fit you better.
Strategi Pine Script®
oleh DyorTool
3
Phoenix Ascending 2.201Hi Everyone! It's time to make this indicator public to relieve myself of replying to requests for access. There has been an update to this indicator; in which a Stochastic RSI was added to this indicator. Please follow the directions to SETUP the indicator in the SETUP VIDEO provided below. Phoenix Ascending 2.201 and Bollinger Bands Setup Video. The following are BASIC rules for the Phoenix 2.201 Indicator. More advanced rules and the requirements for those rules can be found in my publications in my public profile. Unfortunately, I do not have organized videos created on how to use this indicator in full but will be available in the future. IMPORTANT: The BASIC rules below are beneficial but these are NOT all the rules. More rules and requirements for those rules will be available in the future. RULE NO. 1 We PREFER the Blue LSMA to be at 80% or higher for SAFE EXIT (SHORT) bets. We PREFER the Blue LSMA to be at 20% or lower for SAFE ENTRY (LONG) bets. Rule No. 2 ANY time the red line is approaching a green line that’s moving UPWARD, Be prepared to make an ENTRY (LONG) when the red line is about to touch the green line that’s moving upward. One can look at a lower time frame to get a better idea of how much longer you may have To wait for the red line to touch the green line. In many cases, you may make ENTRY (LONG) Just before the red line actually touches the green line that’s moving up in that higher time frame You were initially using as your COMPASS. I currently have the 1-Month TF as a compass for EURUSD. Rule No. 3 ANY time the red line is approaching a green line that’s moving DOWNWARD, Be prepared to make an EXIT (SHORT) when the red line is about to touch the green line that’s moving downward. One can look at a lower time frame to get a better idea of how much longer you may have To wait for the red line to touch the green line. In many cases, you may make your EXIT (SHORT) Just before the red line actually touches the green line that’s moving downward in that higher time frame You were initially using as your COMPASS. I currently have the 1-Month TF as a compass for EURUSD. Rule No. 4 The Green Line and/or Ghost Line can often help one determine when an upward or downward move in a particular time frame Is nearly exhausted and about to reverse. Example for Upside Exhaustion about to reverse to the Downside: When the Green Line and/or Ghost line is at 80% level or higher, this is a good indicator to inform Us the current upside move may be approaching exhaustion. You can look at a higher time frame to try to gain More insight as to whether this will only be a brief dip down in the lower time frame IF the higher time frame you Went to reveals there is a lot more room remaining for the Green and/or Ghost Lines to reach the 80% or higher level. Example for Downside Exhaustion about to reverse to the Upside: When the Green Line and/or Ghost line is at 20% level or lower, this is a good indicator to inform Us the current downside move may be approaching exhaustion. You can look at a higher time frame to try to gain More insight as to whether this will only be a brief dip up in the lower time frame IF the higher time frame you Went to reveals there is a lot more room remaining for the Green and/or Ghost Lines to reach the 20% or lower level. Rule No. 5 The same rules you see in Rule No. 4 also apply to the Stochastic RSI. Keep in mind I changed the colors of the Stochastic RSI to the following: Red default changed to Purple and Blue changed changed to Black to avoid confusing Them with the lines in Godmode. When the Stochastic RSI is at 80% or higher level, we need to be on guard for a reversal to the downside. When the Stochastic RSI is at 20% or lower level, we need to be on guard for a reversal to the upside. EXTREMELY IMPORTANT to apply these rules in GROUPS OF TIME FRAMES. "TYPES" OF TIME FRAME GROUP TRADING SIGNALS Scalping Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Short Term Group as a compass and Scalping Group for confirmation and more precise entry/exit. Scalping Group: 6min. 12min. 23min & 45min. Short Term Group: 90min. 3hr. 6hr. & 12hr. Short Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. NearTerm Group as a compass and Short Term Group for confirmation and more precise entry/exit. Short Term Group: 90min. 3hr. 6hr. & 12hr. Near Term Group: 24hr. 2-Day, 3-Day & 4-Day Near Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Mid Term Group as a compass and Near Term Group for confirmation and more precise entry/exit. Near Term Group: 24hr. 2-Day, 3-Day & 4-Day Mid Term Group: 3-Day, 6-Day, 9-Day & 12-Day Mid Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Long Term Group as a compass and Mid Term Group for confirmation and more precise entry/exit. Mid Term Group: 3-Day, 6-Day, 9-Day & 12-Day Long Term Group: 1-Week, 2-Week, 3-Week & 4-Week Long Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Macro Term Group as a compass and Long Term Group for confirmation and more precise entry/exit. Long Term Group: 1-Week, 2-Week, 3-Week & 4-Week Macro Term Group: 1-Month, 2-Month, 3-Month & 4-Month Macro Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Macro Term Group as a compass and Long Term Group for confirmation and more precise entry/exit. Macro Term Group: 1-Month, 2-Month, 3-Month & 4-Month Super Macro Group: 3-Month , 6-Month, 12-Month & 24-Month
Indikator Pine Script®
oleh WyckoffMode
71
Volatility Detector by AjeetThis indicator is used for detecting Volatility To be applied only on 15 mins chart As soon as you spot a circle (Inc. in Volatility) then high movement is expected in further 5-6 candles Movement can be up or down Its can be best used for scalping... Run a chart on 15 mins, detect a candle with an indication of high movement ahead shift to smaller timeframe like 3 mins apply lower setting supertrend like 11,2 and take benefit of the move
Indikator Pine Script®
oleh STtraderr
9
TRADER DREAMSThis indicator based macd,rsi,stochastic based. But it includes my own secret values. Comes with Machine learning technology and zero lag option. Next generation of technical analysis. Also you can look my other scripts this is symbol scanner this is wolfe and scalping indicator this is trending trend based kst indicator this is also can harmonic formation and trend analysis automatic and shows you target this is the best for trading and others.... I'm publishing this indicator for a while. Good luck.
Indikator Pine Script®
oleh Herif
2
PPSignal BB and EWO BB Strategy ScalpDescription: This indicator is an implementation of the Bollinger Band and EWO Oscillator Scalping system. This technique is for those who want the most simple method that is very effective. It is BEST traded during the busiest trading hours, 3am to 12am EST NY time. This method doesn't work in sideways markets, only in volatile trending markets. -Time Frames: 1, 5, 10, 15 ,30 min. -Currency pairs: majors, btc, futures and volatile stock. Other Chart indicators: Add EWO bb. Optionally Add Squeeze Indicato or bbsqueeze . Here's the strategy: // Going LONG: Enter a long position when Curve Slope has crossed up through the Bollinger upper band (lime) . At the same time, the EWO BB or BBqueeze should be approaching or crossing it's zeroline, going up. This is indicated by "Buy" alert. // Going SHORT: Enter a short position when Curve Slope has crossed down through the low Bollinger red. At the same time, the EWO BB or BBqueeze should be approaching or crossing it's zero line, going down. This is indicated by the "Sell" Alert. // Take profit: // 10-20 pips depending on pair or When Awesome Oscillator turns a different color. // HINTS: Best trades tend to occur when price reversing bounce off outer band and and outside Optional Bollinger Squeeze indication. // References: www.forexstrategiesresources.com
Indikator Pine Script®
oleh PpSignal01
Ultimate Trend Analyzer by HypesterTrading is not all about scalping/day trading. To have a healthy and diversified portfolio, you should always have some trending long term assets to mitigate risks and keep your wallet always on the green side. That's why Hypester once again innovates with the Ultimate Trend Analyzer. With the UTA you can check the trend's health with one glance. Do not fool yourself, the Ultimate Trend Analyzer offers different trading profiles, so it doesn't matter what kind of trading you are doing, from long positions to intraday scalping - UTA can quickly adapt with one click. UTA offers Swing/Longterm, Day Trading and Scalping profile. It also has two correlation methods, volume, and price. So you can decide what you want to prioritize most. Not only that, there are two smoothing methods, linear regression and symmetrical averaging so you can remove noises from your indicator line. The UTA offers you insight about the trend's health, just by looking at the background color, the stronger the color, stronger the trend. So higher up it is, stronger the uptrend is. The lower it is, stronger the downtrend. Nevertheless, the UTA also gives you insight within trend corrections and peaks and bottoms with the indicator line color. So if you have a bullish trend and you see an orange line color, it means that direction is changing and you will observe a line color change, which means the course is now bearish even though the overall trend is going up. This feature is great for swing/scalp trading looking at the big picture.
Indikator Pine Script®
oleh spectertrading
4
TB!G-Scalp Strategy [Alert]Scalping Crypto Assets Made Easy TB!G-Scalp is a TradingView based alert and accompanying strategy PineV3 Script. Backtest vs Realtime When designing the algorithms for this strategy our focus was primarily on ease of use.This results in a beautiful yet easy to use scalping strategy. As input it takes a chart period and only one extra parameter for fine tuning. The backtest results are an accurate representation of it’s real-time behaviour. What makes it tick? Over the last 2 years we collected a lot of market data regarding Bull and Bear behaviours. This previous market behaviour echo’s into the current market trend. By recognising these echo’s we are able to anticipate an upcoming micro reversal which eventually end up being a scalping strategy. Interested Access is provided to a limited amount of people and for the duration that is determined by it’s Alpha Decay Rate. This ADR is expected to become problematic after 2.3 year of usage on a lot of 150 users.
Indikator Pine Script®
oleh KingRekter
9
TB!G-Scalp Strategy [Backtest]Scalping Crypto Assets Made Easy TB!G-Scalp is a TradingView based alert and accompanying strategy PineV3 Script. Backtest vs Realtime When designing the algorithms for this strategy our focus was primarily on ease of use.This results in a beautiful yet easy to use scalping strategy. As input it takes a chart period and only one extra parameter for fine tuning. The backtest results are an accurate representation of it’s real-time behaviour. What makes it tick? Over the last 2 years we collected a lot of market data regarding Bull and Bear behaviours. This previous market behaviour echo’s into the current market trend. By recognising these echo’s we are able to anticipate an upcoming micro reversal which eventually end up being a scalping strategy. Interested Access is provided to a limited amount of people and for the duration that is determined by it’s Alpha Decay Rate. This ADR is expected to become problematic after 2.3 year of usage on a lot of 150 users.
Strategi Pine Script®
oleh KingRekter
1
Bimex Long Short PRO [PlungerMen]Hello! This free community edition is very good for all time frame , for all the crypto This Script recognized overbought area and over-selling area extremely accurate This Script is very well used as it works by itself and very well used in conjunction with the "Bitmex scalping " script, both compliment for each other. the "Bitmex Scalping" script is Free, you can find it If you want to be more accurate and more efficient, more comfortable when you do not want to see too many other indicators, you can register for our Professional edition. - The Professional Edition supports Level 1 and Level 2 commands, which are very effective in allocating funds and optimizing your profits Besides that,You will be supported by personal preferences, profit maximization - Register for a Professional version will be used 2 Script,Bimex Scalping Pro and Bitmex Long Short Pro - We will invite you to the signal channel with the announcement of the bottom and the peak of the BTC ,the big variable variable has exists We hope you enjoy this script. Your support will help us develop more good quality scripts in the future to serve the community **Remember, Like this script and posivite feedback if you are satisfied** if you have any questions Plz post a comment ... below here ****** Thanks
Indikator Pine Script®
oleh luongson107
64
RSI MA Cross + Divergence Signal (V2) Core Logic RSI + Moving Average The script calculates a standard RSI (default 14). It then overlays a moving average (SMA/EMA/WMA, default 9). When RSI crosses above its MA → bullish momentum. When RSI crosses below its MA → bearish momentum. Divergence Filter Signals are only valid if there’s confirmed divergence: Bullish divergence: Price makes a lower low, RSI makes a higher low. Bearish divergence: Price makes a higher high, RSI makes a lower high. Overbought / Oversold Filter Optional extra: Bullish signals only valid if RSI ≤ 30 (oversold). Bearish signals only valid if RSI ≥ 70 (overbought). This ensures signals happen in “stretched” conditions. Risk & Trade Management Entries taken only when all conditions align. Exits can be managed with ATR stops, partial take-profits, breakeven moves, and trailing stops (we coded these in the strategy version). Cooldown, session filters, and daily loss guard to keep risk tight. 🔹 Strengths ✅ High selectivity: Combining RSI cross + divergence + OB/OS means signals are rare but higher quality. ✅ Great at catching reversals: Divergence highlights where price may be running out of steam. ✅ Risk management baked in: ATR stops + partial exits smooth out equity curve. ✅ Works across markets: ES, FX, crypto — anywhere RSI divergences are respected. ✅ Flexible: You can loosen/tighten filters depending on aggressiveness. 🔹 Weaknesses ❌ Lag from pivots: Divergence only confirms after a few bars → you enter late sometimes. ❌ Choppy in ranges: In sideways markets, RSI divergences appear often and whipsaw. ❌ Filters reduce signals: With all filters ON (divergence + OB/OS + trend + session), signals can be very rare — may under-trade. ❌ Not standalone: Needs higher-timeframe context (trend, liquidity pools) to avoid counter-trend entries. 🔹 Best Ways to Trade It Use Higher Timeframe Bias Run the strategy on 15m/1H, but only trade in direction of higher timeframe trend (e.g., 4H EMA). Example: If daily is bullish → only take bullish divergences. Pair With Structure Look for signals at key zones: HTF support/resistance, VWAP, or FVGs. Divergence + RSI cross inside an FVG is a strong entry trigger. Adjust OB/OS for Volatility For crypto/FX: use 35/65 instead of 30/70 (markets trend harder). For ES/S&P: 30/70 works fine. Risk Management Is King Use partial exits: take profit at 1R, trail rest. Size by % of equity (we coded this into the strategy). Avoid News Spikes Divergences break down around CPI, NFP, Fed announcements — stay flat. 🔹 When It Shines Trending markets that make extended pushes → clean divergences. Reversal zones (oversold → bullish bounce, overbought → bearish fade). Swing trading (15m–4H) — less noise than 1m/5m scalping. 🔹 When to Avoid Low volatility chop → lots of false divergences. During high-impact news → RSI swings wildly. In strong one-way trends without pullbacks — divergence keeps calling tops/bottoms too early. ✅ Summary: This is a reversal-focused RSI divergence strategy with strict filters. It’s powerful when combined with higher-timeframe bias + structure confluence, but weak if traded blindly in choppy or news-driven conditions. Best to treat it as a precision entry trigger, not a full system — layer it on top of your FVG/ORB framework for maximum edge.
Indikator Pine Script®
oleh noxum
Nifty Trend vs Range (Final)This indicator is designed to help you quickly identify whether the Nifty market is trending, ranging, or preparing for a breakout by combining three volatility and trend-strength measures: India VIX (Volatility Index) ADX (Average Directional Index) ATR (Average True Range) It creates a Trend vs Range Decision Matrix that categorizes the market into actionable states such as Range – Quiet, Breakout Watch, Trend – Smooth, Trend – Confirmed, Trend – Volatile, or Choppy / Noisy. 🔑 How it Works India VIX (Market Volatility) Pulled directly from NSE:INDIAVIX (or your chosen symbol). VIX thresholds are defined: Below VIX Low → Calm market (often ranges). Between VIX Low & High → Neutral/moderate volatility. Above VIX High → High volatility (potential big moves or choppiness). VIX can be scaled and plotted in the same pane with ADX/ATR, or shown separately with a companion script. ADX (Trend Strength) Custom calculation (Wilder’s smoothing, not built-in ta.adx), to ensure more consistent results. Thresholds (auto-tuned by timeframe if enabled): Low ADX → Weak/no trend, sideways. High ADX → Strong directional trend. ATR (Volatility Expansion) ATR compared to a moving average of ATR detects whether volatility is rising or flat. Used as confirmation for breakouts or fading moves. 🧠 Market State Logic The script combines the three signals into an interpretable market state: Range – Quiet → VIX low, ADX low, ATR flat Trend – Smooth → VIX low, ADX high Breakout Watch → VIX neutral, ADX low, ATR rising Trend – Confirmed → VIX neutral, ADX high, ATR rising Choppy / Noisy → VIX high, ADX low, ATR rising Trend – Volatile → VIX high, ADX high, ATR rising Neutral → fallback if conditions don’t match Each state is color-coded with background shading and displayed as a persistent label with key metrics (VIX, ADX, ATR). ⚙️ Features ✅ Intraday Auto-Tuning ADX/ATR thresholds automatically adjust depending on chart timeframe (5m, 15m, etc.). ✅ Scalable VIX Plotting Option to overlay a scaled VIX line in the same pane or hide it if you use a separate VIX pane. ✅ Persistent State Label Shows the current regime, timeframe, and key values. Updates every bar without stacking multiple labels. ✅ Alerts Ready Alerts for each market regime can be set directly in TradingView. ✅ Background Coloring Quick at-a-glance identification of current state. 🎯 How to Use Ranging markets (low VIX, low ADX, flat ATR): Favor mean-reversion strategies like option selling, iron condors, or scalping. Smooth trends (low VIX, high ADX): Favor directional trades with futures/options spreads. Breakout Watch: Stay alert for possible trend initiation. Confirmed trends (neutral VIX, high ADX, rising ATR): Ideal for momentum trading. Volatile trends (high VIX, high ADX): Use caution, hedge positions, or trade with wider stops. Choppy/Noisy (high VIX, low ADX): Avoid overtrading, expect false signals.
Indikator Pine Script®
oleh sharish786
Measured Move Volume XIndicator Description The "Measured Move Volume X" indicator, developed for TradingView using Pine Script version 6, projects potential price targets based on the measured move concept, where the magnitude of a prior price leg (Leg A) is used to forecast a subsequent move. It overlays translucent boxes on the chart to visualize bullish (green) or bearish (red) price projections, extending them to the right for a user-specified number of bars. The indicator integrates volume analysis (relative to a simple moving average), RSI for momentum, and VWAP for price-volume weighting, combining these into a confidence score to filter entry signals, displayed as triangles on breakouts. Horizontal key level lines (large, medium, small) are drawn at significant price points derived from the measured moves, with customizable thresholds, colors, and styles. Exhaustion hints, shown as orange labels near box extremes, indicate potential reversal points. Anomalous candles, marked with diamond shapes, are identified based on volume spikes and body-to-range ratios. Optional higher timeframe candle coloring enhances context. The indicator is fully customizable through input groups for lookback periods, transparency, and signal weights, making it adaptable to various assets and timeframes. Adjustment Tips for Optimization To optimize the "Measured Move Volume X" indicator for specific assets or timeframes, adjust the following input parameters: Leg A Lookback (default: 14 bars): Increase to 20-30 for volatile markets (e.g., cryptocurrencies) to capture larger price swings; decrease to 5-10 for intraday charts (e.g., stocks) for faster signals. Extend Box to the Right (default: 30 bars): Extend to 50+ for daily or weekly charts to project further targets; shorten to 10-20 for lower timeframes to reduce clutter. Volume SMA Length (default: 20) and Relative Volume Threshold (default: 1.5): Lower the threshold to 1.2-1.3 for low-volume assets (e.g., commodities) to detect subtler spikes; raise to 2.0+ for high-volume equities to filter noise. Match SMA length to RSI length for consistency. RSI Parameters (default: length 14, overbought 70, oversold 30): Set overbought to 80 and oversold to 20 in trending markets to reduce premature exit signals; shorten length to 7-10 for scalping. Key Level Thresholds (default: large 10%, medium 5%, small 5%): Increase thresholds (e.g., large to 15%) for volatile assets to focus on significant moves; disable medium or small lines to declutter charts. Confidence Score Weights (default: volume 0.5, VWAP 0.3, RSI 0.2): Increase volume weight (e.g., 0.7) for volume-driven markets like futures; emphasize RSI (e.g., 0.4) for momentum-focused strategies. Anomaly Detection (default: volume multiplier 1.5, small body ratio 0.2, large body ratio 0.75): Adjust the volume multiplier higher for stricter anomaly detection in noisy markets; fine-tune body-to-range ratios based on asset-specific candle patterns. Use TradingView’s replay feature to test adjustments on historical data, ensuring settings suit the chosen market and timeframe. Tips for Using the Indicator Interpreting Signals: Green upward triangles indicate bullish breakout entries when price exceeds the prior high with a confidence score ≥40; red downward triangles signal bearish breakouts. Use these to identify potential entry points aligned with the projected box targets. Box Projections: Bullish boxes project upward targets (top of box) equal to the prior leg’s height added to the breakout price; bearish boxes project downward. Monitor price action near box edges for target completion or reversal. Exhaustion Hints: Orange labels near box tops (bullish) or bottoms (bearish) suggest potential exhaustion when price deviates within the set percentage (default: 5%) and RSI or volume conditions are met. Use these as cues to watch for reversals. Key Level Lines: Large, medium, and small lines mark significant price levels from box tops/bottoms. Use these as potential support/resistance zones, especially when drawn with high volume (colored differently). Anomaly Candles: Orange diamonds highlight candles with unusual volume/body characteristics, indicating potential reversals or pauses. Combine with box levels for context. Higher Timeframe Coloring: Enable to color bars based on higher timeframe candle closures (e.g., 1, 2, 5, or 15 minutes) for added trend context. Customization: Toggle "Only Show Bullish Moves" to focus on bullish setups. Adjust transparency and line styles for visual clarity. Test settings to balance signal frequency and chart readability. Inputs: Organized into groups (e.g., "Measured Move Settings") using input.int, input.float, input.color, and input.bool for user customization, with tooltips for clarity. Calculations: Computes relative volume (ta.sma(volume, volLookback)), VWAP (ta.vwap(hlc3)), RSI (ta.rsi(close, rsiLength)), and prior leg extremes (ta.highest/lowest) using prior bar data ( ) to prevent repainting. Boxes and Lines: Creates boxes (box.new) for bullish/bearish projections and lines (line.new) for key levels. The f_addLine function manages line arrays (array.new_line), capping at maxLinesCount to avoid clutter. Confidence Score: Combines volume, VWAP distance, and RSI into a weighted score (confScore), filtering entries (≥40). Rounded for display. Exhaustion Hints: Functions like f_plotBullExitHint assess price deviation, RSI, and volume decrease, using label.new for dynamic orange labels. Entry Signals and Plots: plotshape displays triangles for breakouts; plot and hline show VWAP and RSI levels; request.security handles higher timeframe coloring. Anomaly Detection: Identifies candles with small-body high-volume or large-body average-volume patterns via ratios, plotted as diamonds.
Indikator Pine Script®
oleh kwsatterfield1
2
RenKagi Fusion: Aura & SMA Clash IndicatorRenKagi Fusion: Aura & SMA Clash Indicator Welcome to the RenKagi Fusion Indicator – a powerful, customizable tool that blends the strengths of Renko and Kagi charts to provide noise-filtered trend insights, enhanced with visual Aura effects and SMA (Simple Moving Average) crossover signals. Designed for traders seeking a unique edge in trend detection and reversal identification, this indicator combines traditional charting techniques with modern visualizations to help you navigate markets more effectively. Whether you're trading stocks, forex, or crypto, RenKagi Fusion offers a clean, actionable overview of market dynamics. Key Features RenKagi Line (Weighted Fusion of Renko and Kagi): The core of the indicator is the RenKagi line, a weighted average of Renko (brick-based trend filtering) and Kagi (reversal-focused line charts). Users can adjust the weight (default: 60% Renko, 40% Kagi) to prioritize stability or sensitivity. This fusion reduces market noise while highlighting key price movements. Trend Scoring System: Calculates strength scores for Renko, Kagi, and RenKagi (capped at 20 points, converted to percentages). Scores increase with trend continuation and reset on reversals, giving a quantitative measure of momentum. Aura Effects (Optional): Visual "glow" around lines based on score percentage – higher scores mean more opaque and thicker auras, adding a dynamic layer to trend visualization. SMA Clash (Crossover Detection): Monitors daily SMA50, SMA100, and SMA200 for golden/death crosses (SMA50 crossing above/below longer SMAs) and RenKagi-SMA crossovers. These are displayed in a persistent info table for quick reference. Customizable Visuals: Toggle lines, boxes, shapes, auras, and labels. Background coloring based on selected source (Renko, Kagi, or RenKagi) for intuitive trend bias. Info Table: A configurable table (position and colors adjustable) summarizing scores, directions, cross states, brick size (with type), Kagi reversal (with type), and weights. No clutter – all in one place. Alert Conditions: Built-in alerts for direction changes (Renko, Kagi, RenKagi), SMA crossovers, and golden/death crosses – perfect for real-time notifications. How It Works Renko Logic: Builds bricks based on user-selected type (Traditional fixed size, ATR dynamic, or Percentage). Scores build as trends persist, resetting on reversals. Kagi Logic: Line reverses on thresholds (Traditional, ATR, or Percentage), scoring continuous moves. RenKagi Calculation: Weighted average: (renkoPrice * renkoWeight + kagiLine * (100 - renkoWeight)) / 100. Score is a blend of individual scores. SMA Integration: Daily timeframe SMAs for reliable long-term signals. Crossovers trigger alerts and update table states persistently until reversed. Advantages for Traders Noise Reduction: By fusing Renko's block structure with Kagi's reversal focus, it filters out minor fluctuations, helping identify strong trends early. Versatility: Fully customizable – adjust weights, types, and visuals to fit any market or timeframe. Ideal for swing trading, trend following, or scalping. Visual Clarity: Aura and background coloring provide at-a-glance insights, while the table consolidates data without overwhelming the chart. Actionable Signals: Golden/Death crosses and direction changes offer clear entry/exit points, backed by alerts for timely execution. Performance Optimization: Limits on lines/labels/boxes (500 each) ensure smooth operation on large datasets. Usage Tips Start with default settings for balanced performance. Use in higher timeframes for trend confirmation or lower for intraday signals. Combine with your favorite strategies – e.g., buy on RenKagi upward cross with SMA50 and golden cross confirmation. Test on historical data to optimize weights and thresholds. Note: This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own analysis and use risk management. No financial advice is provided. If you find this useful, please like, comment, or share your feedback!
Indikator Pine Script®
oleh IQ-TRADER