Şimdi başlat

"band" için komut dosyalarını ara

Ultimate Bands [BigBeluga]Ultimate Bands The Ultimate Bands indicator is an advanced technical analysis tool that combines elements of volatility bands, oscillators, and trend analysis. It provides traders with a comprehensive view of market conditions, including trend direction, momentum, and potential reversal points. 🔵 KEY FEATURES ● Ultimate Bands Consists of an upper band, lower band, and a smooth middle line Based on John Ehler's SuperSmoother algorithm for reduced lag Bands are calculated using Root Mean Square Deviation (RMSD) for adaptive volatility measurement Helps identify potential support and resistance levels ● Ultimate Oscillator Derived from the price position relative to the Ultimate Bands Oscillates between overbought and oversold levels Provides insights into potential reversals and trend strength ● Trend Signal Line Based on a Hull Moving Average (HMA) of the Ultimate Oscillator Helps identify the overall trend direction Color-coded for easy trend interpretation ● Heatmap Visualization Displays the current state of the oscillator and trend signal Provides an intuitive visual representation of market conditions Shows overbought/oversold status and trend direction at a glance ● Breakout Signals Optional feature to detect and display breakouts beyond the Ultimate Bands Helps identify potential trend reversals or continuations Visualized with arrows on the chart and color-coded candles 🔵 HOW TO USE ● Trend Identification Use the color and position of the Trend Signal Line to determine the overall market trend Refer to the heatmap for a quick visual confirmation of trend direction ● Entry Signals Look for price touches or breaks of the Ultimate Bands for potential entry points Use oscillator extremes in conjunction with band touches for stronger signals Consider breakout signals (if enabled) for trend-following entries ● Exit Signals Use opposite band touches or breakouts as potential exit points Monitor the oscillator for divergences or extreme readings as exit signals ● Overbought/Oversold Analysis Use the Ultimate Oscillator and heatmap to identify overbought/oversold conditions Look for potential reversals when the oscillator reaches extreme levels ● Confirmation Combine Ultimate Bands, Oscillator, and Trend Signal for stronger trade confirmation Use the heatmap for quick visual confirmation of market conditions 🔵 CUSTOMIZATION The Ultimate Bands indicator offers several customization options: Adjust the main calculation length for bands and oscillator Modify the number of standard deviations for band calculation Change the signal line length for trend analysis Toggle the display of breakout signals and candle coloring By fine-tuning these settings, traders can adapt the Ultimate Bands indicator to various market conditions and personal trading strategies. The Ultimate Bands indicator provides a multi-faceted approach to market analysis, combining volatility-based bands, oscillator analysis, and trend identification in one comprehensive tool. Its adaptive nature and visual cues make it suitable for both novice and experienced traders across various timeframes and markets. The integration of multiple analytical elements offers traders a rich set of data points to inform their trading decisions.
Pine Script® göstergesi
BigBeluga tarafından
6
Fibonacci HH LL TRAMA BandLuxAlgo's Trend Moving Adaptive Moving Average was used as a reference to create bands by reading the highest and lowest prices of past bars based on Fibonacci numbers and then multiplying them by the Fibonacci ratio. LuxAlgo/ LuxAlgo/ In particular, the so-called TRAMA is characterized by its adaptation to the average of the highest and lowest prices over a specific period of time and is used to identify support/resistance. In order to apply this feature to the maximum extent possible, I used the high or low prices as the source of input, rather than the closing price. For example, src = high not original like src = close In addition, I created 6 levels by multiplying the Fibonacci ratio //Midline mah = ama1 mal = ama2 m = (mah + mal)/2 //Half Mean Range dist = (mah - mal)/2 //Levels h6 = m + dist * 11.089 h5 = m + dist * 6.857 h4 = m + dist * 4.235 h3 = m + dist * 2.618 h2 = m + dist * 1.618 h1 = m + dist * 0.618 l1 = m - dist * 0.618 l2 = m - dist * 1.618 l3 = m - dist * 2.618 l4 = m - dist * 4.235 l5 = m - dist * 6.857 l6 = m - dist * 11.089 If you want to use it for scalping, such as 15 minutes, you can include Fibonacci numbers such as 21,34,55 for a quick reaction type to detect the trend. Also, by including Fibonacci numbers such as 89,144,233, you can see where you stand in the larger trend. Some examples are included below. For Investors BTCUSDT 1day Chart Fibonacci number "55" For Daytraders BTCUSDT 4hour Chart Fibonacci number "34" For Scalpers BTCUSDT 15min Chart Fibonacci number "55" BTCUSDT 15min Chart Fibonacci number "89" BTCUSDT 15min Chart Fibonacci number "233" Fibonacci numbers are 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, etc., Fibonacci ratios are 0.618, 1.618, 2.618, 4.236, 6.854, 11.089, etc.,
Pine Script® göstergesi
FibonacciFlux tarafından
Bollinger Bands and SMA Channel Buy and Sell This Indicator is a combination of a standard BB indicator incorporated with a SSL Channel by ErwinBeckers which is Simple Moving average with a length of set at 10 (Default) and calculates the high and low set for the default 10 to form a Channel. The Settings for the Bollinger Band is the standard settings on a normal Bollinger Band - Length 20, source close and Standard dev 2 The setting for the SMA is length 10 and the high and low calculated or that length to form a channel. The SMA Channel gives a green line for the Up channel and the Red line for the down Channel. The basis of the indicator is that the Candle close above the Basis line of the BB and the SMA green line will give a buy indicator and the same for Sell indicator the candle close below the basis BB and the SMA line Red will give a Sell indicator. Please note that this indicator is a mix of 2 basic indicators found in Trading view, giving Buy and Sell indicators to make things easier to not look for this visually. This code will be open source for anyone to use or back test or use it for whatever they want. This code is for my own personal trading and cannot be relied upon. This indicator cannot be used and cannot guarantee anything, and caution should always be taken when trading. Use this with other indicators to give certanty. Again use this for Paper Trading only. I want to thank TradingView for its platform that facilitates development and learning.
Pine Script® göstergesi
ivandra447 tarafından
1
Ehlers Cycle BandPass Filter [CC]The Cycle BandPass Filter was created by John Ehlers (Cycle Modes and Trend Modes) and this is an alternate to the default BandPass Filter by changing some settings. This will be another series I will be introducing showing some indicators created by Ehlers and that didn't get much attention. This identifies the underlying cycle in the price data and these indicators aren't very common so I want to introduce more of these to tv. Buying and selling with these indicators can be a bit tricky but overall what Ehlers recommends is to buy at the lowest point and sell at the highest point to capture the underlying cycle. I have included strong buy and sell signals as darker colors and normal signals as lighter colors. Buy when the line turns green and sell when it turns red. Let me know if there are any other scripts you would like to see me publish!
Pine Script® göstergesi
cheatcountry tarafından
2
Acceleration BandsAcceleration Bands Description: Acceleration Bands serve as a trading envelope that factor in an assets typical volatility over standard settings of 20 or 80 bars. They can be used across any time period, though traders prefer to use them most across weekly and monthly timeframes as breakout indicators outside these bands. Using the shorter time frames can define likely support and resistance levels at the lower and upper Acceleration Bands. Entry is usually made at the breakout point. Once the price closes back within the Acceleration Bands, this is taken as a signal that the acceleration period is over and it’s best to close out the trade.
Pine Script® göstergesi
capissimo tarafından
Exponential Deviation Bands Width [ChuckBanger]This indicator is a compliment to Exponential Deviation Bands . It is the difference between the upper and the lower bands divided by the middle band. It is an easy way to visualize consolidation before price movements or periods of higher volatility. How it works During a period of high volatility, the distance between the two bands will widen and Exponential Deviation Bands width will increase. And the opposite occurs during a period of low volatility, the distance between the two bands will contract and Exponential Deviation Bands width will decrease. Meaning there is a tendency for bands to alternate between expansion and contraction. When the bands are relatively far apart, that is often is a sign that the current trend is ending. When the distance between the two bands is relatively narrow that often is a sign that the market is about to initiate a bigger move in either direction.
Pine Script® göstergesi
ChuckBanger tarafından
Volatility Bands by DGTVolatility represents how large an asset's prices swing around the mean price, the degree of variation of a trading price over time, and is commonly measured with beta (β) coefficients, standard deviations (σ) of returns where tools such as Average True Range, Bollinger Bands, Keltner Channel, Squeeze Indicator, etc presents volatility concept Volatility often refers to the amount of uncertainty or risk related to the size of changes in a security's value. The higher the volatility, the riskier the security - the price of the security can change dramatically over a short time period in either direction. A lower volatility - security's value does not fluctuate dramatically, and tends to be more steady This study, Volatility Bands , attempts to present a way to measure and visualize volatility , using standard deviations (σ) and average true range indicator, and aims to point out areas that might indicate potential trading opportunities I will try to explain the usage with examples, same setup with different option selected as you may observe from the examples different setting may have advantages and disadvantages over one another, it is recommended to verify a trading setup with different available options. Additionally, It is recommended to use this indicator in conjunction with other technical indicators, or verify using chart/candle patterns. Below is an usage example using in conjunction with other indicator, in the given example “Neglected Volume by DGT” is selected Similarities and Differences Bollinger Bands depicts two standard deviations above and below a simple moving average, and Keltner Channel depicts two times average true range (ATR) above and below an exponential moving average Volatility Bands study combines the approach of both Bollinger Bands and Keltner Channel, with different settings and different visualization Default settings are one standard deviations and one time average true range (ATR) above and below 13 period exponential moving average. Setting can be adjusted by users but let me remind all testes are performed with the default settings. Mathematically expressed as Upper band area between “ema + stdev” and “ema + atr” Lower band area between “ema – stdev” and “ema – atr” A different display is added with the inspiration I get from one of the @quantgym ‘s study, many thanks @quantgym 😉 When difference band display is selected the study will reflect the area between “ema + stdev – atr” and “ema – stdev + atr”. As shown in the examples above Note: standard deviation calculation can be adjusted based on price action or its moving average. Other differentiation between BB and KC is with V-BANDS mostly we look for trade opportunities when price action move out of the bands and in most cases we assume market is consolidating when the price action is within the bands The other indicator that presents similarities to Volatility Bands is Squeeze Indicator, which measures the relationship between Bollinger Bands and Keltner's Channels to help identify consolidations and signal when prices are likely to break out. Mainly Volatility Bands is different version of Squeeze indicator, in fact the purpose is almost same but visualization is completely different. Additionally Volatility Bands Offers trading opportunities whereas Squeeze indicator only presents market states unless a momentum indicator is adapted to Squeeze indicator. Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script® göstergesi
dgtrd tarafından
23
Ehlers Truncated BandPass Filter [CC]Hot off the presses! The Truncated BandPass Filter was created by John Ehlers (Stocks & Commodities July 2020) and this is a much more reactive version of his original bandpass filter. When the indicator rises above 0 then it is an uptrend and when it falls below 0 then it is in a downtrend. Buy when the indicator line is red and sell when it is green. Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Pine Script® göstergesi
cheatcountry tarafından
9
Flagging BandsIntroduction A pun between the word flag and the adjective flagging (less dynamic) , this indicator have two bands who react faster when in contact to the price. Imagine you are under sheets, if you abruptly rise, the sheets will instantaneously go up, then if you abruptly get down, the sheets will fall slowly until being in contact with a surface, this is because of a type of friction called drag or air resistance , this force is described in fluid dynamics and i inspired myself from that for the creation of the indicator. The indicator The indicator is made of two bands, one upper band and one lower band, then a weighted average of each bands, this average is weighted depending on which band the price is closer. The length control the period of the indicator, in general higher lengths will create wider bands, you must consider that this parameter behave differently than other ones and may create slower results in comparison with other bands indicators while having the same length period. The indicator can use a simple breakout methodology (see trailing stop part) but can sometime provide support and resistance points, in fact i believe that when the average variability/volatility of band A is higher than the average variability/volatility of band B and that the price cross band B then price will reverse its direction, this claim is not justified, research is needed. Trailing Stop Mod It is possible to make the indicator act as a trailing stop, in order to do so just tick the trailing stop mod box. The average/bands will automatically disappear being replaced by the trailing stop. Conclusion I was just playing around when making the skeleton of the indicator, i hope the code is easy to understand, if you need some kind of explanation just pm me, i'm always open to help people/receive suggestions. Best Regards
Pine Script® göstergesi
alexgrover tarafından
12
Standard Error Bands by @XeL_arjonaStandard Error Bands - Code by @XeL_arjona Original implementation by: Traders issue: Stocks & Commodities V. 14:9 (375-379): Standard Error Bands by Jon Andersen Version 1 For a quick and publicly open explanation of this Statistical indicator, you can refer at Here! Extract from the former URL: Standard Error bands are quite different than Bollinger's. First, they are bands constructed around a linear regression curve. Second, the bands are based on two standard errors above and below this regression line. The error bands measure the standard error of the estimate around the linear regression line. Therefore, as a price series follows the course of the regression line the bands will narrow, showing little error in the estimate. As the market gets noisy and random, the error will be greater resulting in wider bands.
Pine Script® göstergesi
xel_arjona tarafından
4
Acc/Dist. Cloud with Fractal Deviation Bands by @XeL_ArjonaACCUMULATION / DISTRIBUTION CLOUD with MORPHIC DEVIATION BANDS Ver. 2.0.beta.23:08:2015 by Ricardo M. Arjona @XeL_Arjona DISCLAIMER The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of: Buy (Bull) and Sell (Bear) "Power Balance Algorithm by Vadim Gimelfarb published at Stocks & Commodities V. 21:10 (68-72). Custom Weighting Coefficient for Exponential Moving Average (nEMA) adaptation work by @XeL_Arjona with contribution help from @RicardoSantos at TradingView @pinescript chat room. Morphic Numbers (PHI & Plastic) Pine Script adaptation from it's algebraic generation formulas by @XeL_Arjona Fractal Deviation Bands idea by @XeL_Arjona CHANGE LOG: ACCUMULATION / DISTRIBUTION CLOUD: I decided to change it's name from the Buy to Sell Pressure. The code is essentially the same as older versions and they are the center core (VORTEX?) of all derived New stuff which are: MORPHIC NUMBERS: The "Golden Ratio" expressed by the result of the constant "PHI" and the newer and same in characteristics "Plastic Number" expressed as "PN". For more information about this regard take a look at: HERE! CUSTOM(K) EXPONENTIAL MOVING AVERAGE: Some code has cleaned from last version to include as custom function the nEMA , which use an additional input (K) to customise the way the "exponentially" is weighted from the custom array. For the purpose of this indicator, I implement a volatility algorithm using the Average True Range of last 9 periods multiplied by the morphic number used in the fractal study. (Golden Ratio as default) The result is very similar in response to classic EMA but tend to accelerate or decelerate much more responsive with wider bars presented in trending average. FRACTAL DEVIATION BANDS: The main idea is based on the so useful Standard Deviation process to create Bands in favor of a multiplier (As John Bollinger used in it's own bands) from a custom array, in which for this case is the "Volume Pressure Moving Average" as the main Vortex for the "Fractallitly", so then apply as many "Child bands" using the older one as the new calculation array using the same morphic constant as multiplier (Like Fibonacci but with other approach rather than %ratios). Results are AWSOME! Market tend to accelerate or decelerate their Trend in favor of a Fractal approach. This bands try to catch them, so please experiment and feedback me your own observations. EXTERNAL TICKER FOR VOLUME DATA: I Added a way to input volume data for this kind of study from external tickers. This is just a quicky-hack given that currently TradingView is not adding Volume to their Indexes so; maybe this is temporary by now. It seems that this part of the code is conflicting with intraday timeframes, so You are advised. This CODE is versioned as BETA FOR TESTING PROPOSES. By now TradingView Admins are changing lot's of things internally, so maybe this could conflict with correct rendering of this study with special tickers or timeframes. I will try to code by itself just the core parts of this study in order to use them at discretion in other areas. ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingView accounts at: @XeL_Arjona
Pine Script® göstergesi
xel_arjona tarafından
10
Kalman Supertrend (High vs Low) Bands Inspired by BackQuant, this script modifies the original Kalman Hull Supertrend by replacing the close price with High and Low sources. This creates clearer trend definition and better trend tracking. This is one of the best trend indicators that can be used for trend trading or to capture reversals with high clarity. Key Features: Kalman High/Low Bands — Smooths market noise while separating bullish and bearish zones. BB & SS Alerts — Triggered only when the entire candle closes outside both bands, helping filter out false breakouts. Supertrend (optional) — Can be toggled on/off to monitor potential short-term or early trend shifts. Customizable Display — Show/hide bands, fills, and live candle coloring for chart clarity. Reversal Insight: For 4H and Daily charts, reversal signals appear to be quite accurate when the price retests the trend bands before continuing the move. How to Use: BB appears when a candle fully closes above both High/Low Kalman bands — possible bullish breakout. SS appears when a candle fully closes below both bands — possible bearish breakdown. Supertrend toggle can confirm shorter-term moves or early reversals. Credit to the original script BackQuant
Pine Script® göstergesi
Skyito tarafından
1
Bands Vision-XBands Vision-X (BB-Vision-X) – Full Description Description: Bands Vision-X is an indicator based on dynamic bands constructed from customizable moving averages and standard deviation, allowing you to visualize potential support and resistance zones, volatility, and market conditions. It uses an adjustable moving average (with multiple options such as SMA, EMA, WMA, JMA, LSMA, DEMA, and TEMA) to define the central line, and upper and lower bands calculated by standard deviation multiplied by an adjustable factor. The bands are smoothed by a Hull Moving Average (HMA) to reduce noise and improve clarity. How to Use The bands indicate potential support and resistance levels. The central line serves as a dynamic price reference. The distance between bands reflects market volatility. Touches or breakouts of the bands may signal entry or exit opportunities. Parameters Parameter Description Default Standard Error Band Period Period for moving average and standard deviation 20 Moving Average Type Type of moving average (SMA, EMA, etc.) SMA Standard Deviation Multiplier Multiplier for standard deviation 2.0 Band Lines Smoothing Period Period for smoothing the bands (HMA) 5 Technical Notes The JMA function used is not the original Jurik version but an approximate and open implementation based on publicly available TradingView community code. Developed in Pine Script v6 with optimized and clean code. Recommendations Ideal for traders seeking a clear view of volatility and dynamic support/resistance levels. Should not be used in isolation; it is recommended to combine with volume analysis, price action, or other technical indicators. Adjust the period and multiplier according to the asset and timeframe for better effectiveness.
Pine Script® göstergesi
Canhoto-Medium tarafından
1
Fibonacci & Bollinger Bands StrategyTrading System: Fibonacci & Bollinger Bands Strategy 1. Session Timing Trade only from 1 PM onwards. Identify the first candle on the 1 PM vertical line to set the market direction. If it's a bullish candle, look for buy opportunities. If it's a bearish candle, look for sell opportunities. 2. Fibonacci Retracement as a Measuring Tool Identify the recent swing high and swing low before the 1 PM session. Draw Fibonacci retracement levels from low to high (for buys) or high to low (for sells). Key retracement levels to watch: 0.0%, 50.0%, and 100.0%. Entries can be placed at 0.0% or 50.0%, aiming for a move toward 100.0% retracement. 3. Bollinger Bands Confirmation If the Bollinger Bands are above price, expect a downward move (sell). If the Bollinger Bands are below price, expect an upward move (buy). Use this as additional confirmation for your Fibonacci-based trade. 4. Entry & Exit Rules Entry: If the 1 PM candle confirms a bullish bias, enter long near Fibonacci 0.0% or 50.0%. If the 1 PM candle confirms a bearish bias, enter short near Fibonacci 0.0% or 50.0%. Stop Loss: Below (for buys) or above (for sells) the swing low/high used for Fibonacci. Take Profit: Target 100.0% retracement level or next key resistance/support. 5. Risk Management Risk 1-2% per trade. Avoid trading if price is too far from Fibonacci levels. Confirm setup with Bollinger Bands alignment.
Pine Script® göstergesi
tomsonsbu tarafından
VWAP Bands [TradingFinder] 26 Brokers Data (Forex + Crypto)🔵 Introduction Indicators are tools that help analysts predict the price trend of a stock through mathematical calculations on price or trading volume. It is evident that trading volume significantly impacts the price trend of a stock symbol. The Volume-Weighted Average Price (VWAP) indicator combines the influence of trading volume and price, providing technical analysts with a practical tool. This technical indicator determines the volume-weighted average price of a symbol over a specified time period. Consequently, this indicator can be used to identify trends and entry or exit points. 🟣 Calculating the VWAP Indicator Adding the VWAP indicator to a chart will automatically perform all calculations for you. However, if you wish to understand how this indicator is calculated, the following explains the steps involved. Consider a 5-minute chart. In the first candle of this chart (which represents price information in the first 5 minutes), sum the high, low, and close prices, and divide by 3. Multiply the resulting number by the volume for the period and call it a variable (e.g., X). Then, divide the resulting output by the total volume for that period to calculate your VWAP. To maintain the VWAP sequence throughout the trading day, it is necessary to add the X values obtained from each period to the previous period and divide by the total volume up to that time. It is worth noting that the calculation method is the same for intervals shorter than a day. The mathematical formula for this VWAP indicator : VWAP = ∑ (Pi×Vi) / ∑ Vi 🔵 How to Use Traders might consider the VWAP indicator as a tool for predicting trends. For example, they might buy a stock when the price is above the VWAP level and sell it when the price is below the VWAP. In other words, when the price is above the VWAP, the price is rising, and when it is below the VWAP, the price is falling. Major traders and investment funds also use the VWAP ratio to help enter or exit stocks with the least possible market impact. It is important to note that one should not rely solely on the VWAP indicator when analyzing symbols. This is because if prices rise quickly, the VWAP indicator may not adequately describe the conditions. This indicator is generally used for daily or shorter time frames because using longer intervals can distort the average. Since this indicator uses past data in its calculations, it can be considered a lagging indicator. As a result, the more data there is, the greater the delay. 🟣 Difference Between VWAP and Simple Moving Average On a chart, the VWAP and the simple moving average may look similar, but these two indicators have different calculations. The VWAP calculates the total price considering volume, while the simple moving average does not consider volume. In simpler terms, the VWAP indicator measures each day's price change relative to the trading volume that occurred that day. In contrast, the simple moving average implicitly assumes that all trading days have the same volume. 🟣 Reasons Why Traders Like the VWAP Indicator The VWAP Considers Volume: Since VWAP takes volume into account, it can be more reliable than a simple arithmetic average of prices. Theoretically, one person can buy 200,000 shares of a symbol in one transaction at a single price. However, during the same time frame, 100 other people might place 200 different orders at various prices that do not total 100,000 shares. In this case, if you only consider the average price, you might be mistaken because trading volume is ignored. The Indicator Can Help Day Traders: While reviewing your trades, you might notice that the shares you bought at market price are trading below the VWAP indicator. In this case, there's no need to worry because with the help of VWAP, you always get a price below the average. By knowing the volume-weighted average price of a stock, you can easily make an informed decision about paying more or less than other traders for the stock. VWAP Can Signal Market Trend Changes: Buying low and selling high can be an excellent strategy for individuals. However, you are looking to buy when prices start to rise and sell your shares when prices start to fall. Since the VWAP indicator simulates a balanced price in the market, when the price crosses above the VWAP line, one can assume that traders are willing to pay more to acquire shares, and as a result, the market will grow. Conversely, when the price crosses below the line, this can be considered a sign of a downward movement. 🔵 Setting Period : Indicator calculation time frame. Source : The Price used for calculations. Market Ultra Data : If you turn on this feature, 26 large brokers will be included in the calculation of the trading volume. The advantage of this capability is to have more reliable volume data. You should be careful to specify the market you are in, FOREX brokers and Crypto brokers are different. Multiplier : Coefficient of band lines.
Pine Script® göstergesi
TFlab tarafından
1
Historical Volatility Bands [Loxx]Historical Volatility Bands are constructed using: Average as the middle line. Upper and lower bands using the Historical Volatility for bands calculation. What is Historical Volatility? Historical Volatility (HV) is a statistical measure of the dispersion of returns for a given security or market index over a given period of time. Generally, this measure is calculated by determining the average deviation from the average price of a financial instrument in the given time period. Using standard deviation is the most common, but not the only, way to calculate Historical Volatility. The higher the Historical Volatility value, the riskier the security. However, that is not necessarily a bad result as risk works both ways - bullish and bearish, i.e: Historical Volatility is not a directional indicator and should not be used as other directional indicators are used. Use to to determine the rising and falling price change volatility. The color of the middle line, unlike the bands colors, has 3 colors. When colors of the bands are the same, then the middle line has the same color, otherwise it's white. Included Alerts Signals Loxx's Expanded Source Types Bar coloring
Pine Script® göstergesi
loxx tarafından
1
Ultimate Moving Average Bands [CC+RedK]The Ultimate Moving Average Bands were created by me and @RedKTrader and this converts our Ultimate Moving Average into volatility bands that use the same adaptive logic to create the bands. I have enabled everything to be fully adjustable so please let me know if you find a more useful setting than what I have here by default. I'm sure everyone is familiar with volatility bands but generally speaking if a price goes above the volatility bands then this is either a sign of an extremely strong uptrend or a potential reversal point and vice versa. I have included strong buy and sell signals in addition to normal ones so darker colors are strong signals and lighter colors are normal ones. Buy when the lines turn green and sell when they turn red. Let me know if there are any other scripts you would like to see me publish!
Pine Script® göstergesi
cheatcountry tarafından
12