ATR_InfoWhat Is the Average True Range (ATR)?
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.
Each instrument per unit of time passes its average value of the true range, but there are moments when the volatility explodes or abruptly decays, these phenomena introduce large distortions into the average value of the true range.
The ATR_WPB function calculates the average value of the true range for the specified number of bars, while excluding paranormally large and paranormally small bars from the calculation of the average.
For example, if the instrument has passed a small ATR value, then it has many chances to continue moving, but if the instrument has passed its ATR value, then the chances of continuing to move are extremely low.
Library "ATR_Info"
ATR_Info: Calculates ATR without paranormal bars
ATR_WPB(source, period, psmall, pbig)
ATR_WPB: Calculates ATR without paranormal bars
Parameters:
source (float) : ATR_WPB: (series float) The sequence of data on the basis of which the ATP calculation will be made
period (int) : ATR_WPB: (int) Sequence size for ATR calculation
psmall (float) : ATR_WPB: (float) Coefficient for paranormally small bar
pbig (float) : ATR_WPB: (float) Coefficient for paranormally big bar
Returns: ATR_WPB: (float) ATR without paranormal bars
ATR
Price Legs: Average Heights; 'Smart ATR'Price Legs: Average Heights; 'Smart ATR'. Consol Range Gauge
~~ Indicator to show small and large price legs (based on short and long input pivot lengths), and calculating the average heights of these price legs; counting legs from user-input start time ~~
//Premise: Wanted to use this as something like a 'Smart ATR': where the average/typical range of a distinct & dynamic price leg could be calculated based on a user-input time interval (as opposed to standard ATR, which is simply the average range over a consistent repeating period, with no regard to market structure). My instinct is that this would be most useful for consolidated periods & range trading: giving the trader an idea of what the typical size of a price leg might be in the current market state (hence in the title, Consol Range gauge)
//Features & User inputs:
-Start time: confirm input when loading indicator by clicking on the chart. Then drag the vertical line to change start time easily.
-Large Legs (toggle on/off) and user-input pivot lookback/lookforward length (larger => larger legs)
-Small Legs (toggle on/off) and user-input pivot lookback/lookforward length (smaller => smaller legs)
-Display Stats table: toggle on/off: simple view- shows the averages of large (up & down), small (up & down), and combined (for each).
-Extended stats table: toggle on/off option to show the averages of the last 3 legs of each category (up/down/large/small/combined)
-Toggle on/off Time & Price chart text labels of price legs (time in mins/hours/days; price in $ or pips; auto assigned based on asset)
-Table position: user choice.
//Notes & tips:
-Using custom start time along with replay mode, you can select any arbitrary chunk of price for the purpose of backtesting.
-Play around with the pivot lookback lengths to find price legs most suitable to the current market regime (consolidating/trending; high volatility/ low volatility)
-Single bar price legs will never be counted: they must be at least 2 bars from H>>L or L>>H.
//Credits: Thanks to @crypto_juju for the idea of applying statistics to this simple price leg indicator.
Simple View: showing only the full averages (counting from Start time):
View showing ONLY the large legs, with Time & Price labels toggled ON:
Multi-Band Breakout IndicatorThe Multi-Band Breakout Indicator was created to help identify potential breakout opportunities in the market. It combines multiple bands (ATR-Based and Donchian) and moving averages to provide valuable insights into the underlying trend and potential breakouts. By understanding the calculations, interpretation, parameter adjustments, potential applications, and limitations of the indicator, traders can effectively incorporate it into their trading strategy.
Calculation:
The indicator utilizes several calculations to plot the bands and moving averages. The length parameter determines the period used for the Average True Range (ATR), which measures volatility. A higher length captures a longer-term view of price movement, while a lower length focuses on shorter-term volatility. The multiplier parameter adjusts the distance of the upper and lower bands from the ATR. A higher multiplier expands the bands, accommodating greater price volatility, while a lower multiplier tightens the bands, reflecting lower volatility. The MA Length parameter determines the period for the moving averages used to calculate the trend and trend moving average. A higher MA Length creates a smoother trend line, filtering out shorter-term fluctuations, while a lower MA Length provides a more sensitive trend line.
The Donchian calculations in the Multi-Band Breakout Indicator play a significant role in identifying potential breakout opportunities and providing additional confirmation for trading signals. In this indicator, the Donchian calculations are applied to the trend line, which represents the average of the upper and lower bands. To calculate the Donchian levels, the indicator uses the Donchian Length parameter, which determines the period over which the highest high and lowest low are calculated. A longer Donchian Length captures a broader price range, while a shorter length focuses on more recent price action. By incorporating the Donchian calculations into the Multi-Band Breakout Indicator, traders gain an additional layer of confirmation for breakout signals.
Interpretation:
The Multi-Band Breakout Indicator offers valuable interpretation for traders. The upper and lower bands represent dynamic levels of resistance and support, respectively. These bands reflect the potential price range within which the asset is expected to trade. The trend line is the average of these bands and provides a central reference point for the overall trend. When the price moves above the upper band, it suggests a potential overbought condition and a higher probability of a pullback. Conversely, when the price falls below the lower band, it indicates a potential oversold condition and an increased likelihood of a bounce. The trend moving average further smooths the trend line, making it easier to identify the prevailing direction.
The crossover of the trend line (representing the average of the upper and lower bands) and the trend moving average holds a significant benefit for traders. This crossover serves as a powerful signal for potential trend changes and breakout opportunities in the market. When the trend line crosses above the trend moving average, it suggests a shift in momentum towards the upside, indicating a potential bullish trend. This provides traders with an early indication of a possible upward movement in prices. Conversely, when the trend line crosses below the trend moving average, it indicates a shift in momentum towards the downside, signaling a potential bearish trend. This crossover acts as an early warning for potential downward price movement. By identifying these crossovers, traders can capture the initial stages of a new trend, enabling them to enter trades at favorable entry points and potentially maximize their profit potential.
Breakout Signals:
For bullish breakouts, the indicator looks for a bullish crossover between the trend line and the trend moving average. This crossover suggests a shift in momentum towards the upside. Additionally, it checks if the current price has broken above the upper band and the previous Donchian high. This confirms that the price is surpassing a previous resistance level, indicating further upward movement.
For bearish breakouts, the indicator looks for a bearish crossunder between the trend line and the trend moving average. This crossunder indicates a shift in momentum towards the downside. It also checks if the current price has broken below the lower band and the previous Donchian low. This confirms that the price is breaking through a previous support level, signaling potential downward movement.
When a bullish or bearish breakout is detected, it suggests a potential trading opportunity. Traders may consider initiating positions in the direction of the breakout, anticipating further price movement in that direction. However, it's important to remember that breakouts alone do not guarantee a successful trade. Other factors, such as market conditions, volume, and confirmation from additional indicators, should be taken into account. Risk management techniques should also be implemented to manage potential losses.
Coloration:
The coloration in the Multi-Band Breakout Indicator is used to visually represent different aspects of the indicator and provide valuable insights to traders. Let's break down the coloration components:
-- Trend/Basis Color : The tColor variable determines the color of the bars based on the relationship between the trend line (trend) and the closing price (close), as well as the relationship between the trend line and the trend moving average (trendMA). If the trend line is above the closing price and the trend moving average is also above the closing price, the bars are colored fuchsia, indicating a potential bullish trend. If the trend line is below the closing price and the trend moving average is also below the closing price, the bars are colored lime, indicating a potential bearish trend. If neither of these conditions is met, the bars are colored yellow, representing a neutral or indecisive market condition.
-- Moving Average Color : The maColor variable determines the color of the filled area between the trend line and the trend moving average. If the trend line is above the trend moving average, the area is filled with a lime color with 70% opacity, indicating a potential bullish trend. Conversely, if the trend line is below the trend moving average, the area is filled with a fuchsia color with 70% opacity, indicating a potential bearish trend. This coloration helps traders visually identify the relationship between the trend line and the trend moving average.
-- highColor and lowColor : The highColor and lowColor variables determine the colors of the high Donchian band (hhigh) and the low Donchian band (llow), respectively. These bands represent dynamic levels of resistance and support. If the highest point in the previous Donchian period (hhigh) is above the upper band, the highColor is set to olive with 90% opacity, indicating a potential resistance level. On the other hand, if the lowest point in the previous Donchian period (llow) is below the lower band, the lowColor is set to red with 90% opacity, suggesting a potential support level. These colorations help traders quickly identify important price levels and assess their significance in relation to the bands.
By incorporating coloration, the Multi-Band Breakout Indicator provides visual cues to traders, making it easier to interpret the relationships between various components and assisting in identifying potential trend changes and breakout opportunities. Traders can use these color cues to quickly assess the prevailing market conditions and make informed trading decisions.
Adjusting Parameters:
The Multi-Band Breakout Indicator offers flexibility through parameter adjustments. Traders can customize the indicator based on their preferences and trading style. The length parameter controls the sensitivity to price changes, with higher values capturing longer-term trends, while lower values focus on shorter-term price movements. By adjusting the parameters, such as the ATR length, multiplier, Donchian length, and MA length, traders can customize the indicator to suit different timeframes and trading strategies. For shorter timeframes, smaller values for these parameters may be more suitable, while longer timeframes may require larger values.
Potential Applications:
The Multi-Band Breakout Indicator can be applied in various trading strategies. It helps identify potential breakout opportunities, allowing traders to enter trades in the direction of the breakout. Traders can use the indicator to initiate trades when the price moves above the upper band or below the lower band, confirming a potential breakout and providing a signal to enter a trade. Additionally, the indicator can be combined with other technical analysis tools, such as support and resistance levels, candlestick patterns, or trend indicators, to increase the probability of successful trades. By incorporating the Multi-Band Breakout Indicator into their trading approach, traders can gain a better understanding of market trends and capture potential profit opportunities.
Limitations:
While the Multi-Band Breakout Indicator is a useful tool, it has some limitations that traders should consider. The indicator performs best in trending markets where price movements are relatively strong and sustained. During ranging or choppy market conditions, the indicator may generate false signals, leading to potential losses. It is crucial to use the indicator in conjunction with other analysis techniques and risk management strategies to enhance its effectiveness. Additionally, traders should consider external factors such as market news, economic events, and overall market sentiment when interpreting the signals generated by the indicator.
By combining multiple bands and moving averages, this indicator offers valuable insights into the underlying trend and helps traders make informed trading decisions. With customization options and careful interpretation, this indicator can be a valuable addition to any trader's toolkit, assisting in identifying potential breakouts, capturing profitable trades, and enhancing overall trading performance.
Stop loss and position size calculator (ATR)Calculates and plots Stop Loss and Position Size, based on desired ATR factor.
Displays Stop Loss Price, SL Distance Percent and Position Size overlayed in the chart and plots a stop loss line.
Additionally Stop Loss, ATR, SL Distance and Position Size are also displayed in the Data Window.
Available settings:
Trade - long / short
ATR timeframe - Allows to use ATR based on different timeframe than the current chart.
ATR factor - Stop Loss will be calculated by multiplying ATR with this factor.
Show last - Amount of previous stop loss lines to plot
Line Offset - Positions previous sl calculation under/above current price.
Calculation Offset - Displays calculation based on price action of previous bar(s).
Label Display Distance - Defines position of label relative to current bar.
Risk - Amount you are going to risk if stop loss is hit.
Webby's Tight IndicatorWebby's Tight Indicator is used to measure a securities volatility relative to itself over time. This is achieved by taking the average of three short term ATR's (average true range) and creating a ratio versus three longer term ATR's.
Mike Webster recently stated he is using the 3,5,8 for the short term ATR's and the 55,89,144 for the long term ATR's. All of the ATR lengths are part of the Fibonacci sequence.
The ratio of the ATR's is then calculated and plotted as a histogram with 0 representing the ATR's being equal. As a stocks short term ATR contracts the histogram will rise above 0 meaning volatility in the short term is contracting relative to long term volatility. On the other hand if the short ATR's are expanding versus the long term ATR's the histogram will fall below 0 and turn red, signifying short term volatility is greater than long term volatility.
The easy visualization of this indicator allows you to quickly see when a stock is in a tight range and could be ready for a potential breakout to the long side or breakdown to the short side.
In this example we see tight price action with a blue histogram followed by volatility to the upside coinciding with a breakout.
In this example we see volatility expanding as a stock continues to fall.
To help differentiate between trending contraction or expansion and just short term blips 5-day exponential moving average of the ratio is also plotted on the histogram and dynamically changes colors as it rises and falls.
Indicator options include:
Change histogram colors
Choose ema line width
Price Exhaustion IndicatorThe Price Exhaustion Indicator (PE) is a powerful tool designed to identify trends weakening and strengthening in the financial markets. It combines the concepts of Average True Range (ATR), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator to provide a comprehensive assessment of trend exhaustion levels. By analyzing these multiple indicators together, traders and investors can gain valuable insights into potential price reversals and long-term market highs and lows.
The aim of combining the ATR, MACD, and Stochastic Oscillator, is to provide a comprehensive analysis of trend exhaustion. The ATR component helps assess the volatility and range of price movements, while the MACD offers insights into the convergence and divergence of moving averages. The Stochastic Oscillator measures the current price in relation to its range, providing further confirmation of trend exhaustion. The exhaustion value is derived by combining the MACD, ATR, and Stochastic Oscillator. The MACD value is divided by the ATR value, and then multiplied by the Stochastic Oscillator value. This calculation results in a single exhaustion value that reflects the combined influence of these three indicators.
Application
The Price Exhaustion Indicator utilizes a unique visual representation by incorporating a gradient color scheme. The exhaustion line dynamically changes color, ranging from white when close to the midline (40) to shades of purple as it approaches points of exhaustion (overbought at 100 and oversold at -20). As the exhaustion line approaches the color purple, this represents extreme market conditions and zones of weakened trends where reversals may occur. This color gradient serves as a visual cue, allowing users to quickly gauge the strength or weakness of the prevailing trend.
To further enhance its usability, the Price Exhaustion Indicator also includes circle plots that signify potential points of trend reversion. These plots appear when the exhaustion lines cross or enter the overbought and oversold zones. Red circle plots indicate potential short entry points, suggesting a weakening trend and the possibility of a downward price reversal. Conversely, green circle plots represent potential long entry points, indicating a strengthening trend and the potential for an upward price reversal.
Traders and investors can leverage the Price Exhaustion Indicator in various ways. It can be utilized as a trend-following tool, or a mean reversion tool. When the exhaustion line approaches the overbought or oversold zones, it suggests a weakening trend and the possibility of a price reversal, helping identify potential market tops and bottoms. This can guide traders in timing their entries or exits in anticipation of a trend shift.
Utility
The Price Exhaustion Indicator is particularly useful for long-term market analysis, as it focuses on identifying long-term market highs and lows. By capturing the gradual weakening or strengthening of a trend, it assists investors in making informed decisions about portfolio allocation, trend continuation, or potential reversals.
In summary, the Price Exhaustion Indicator is a comprehensive and visually intuitive tool that combines ATR, MACD, and Stochastic Oscillator to identify trend exhaustion levels. By utilizing a gradient color scheme and circle plots, it offers traders and investors valuable insights into potential trend reversals and long-term market highs and lows. Its unique features make it a valuable addition to any trader's toolkit, providing a deeper understanding of market dynamics and assisting in decision-making processes. Please note that future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
Webby's RSI 2.0Webby's RSI (Really Simple Indicator) 2.0 or version 5.150 as Mike himself calls it, builds upon the original Webby RSI by changing the way we measure extension from the 21-day exponential moving average.
Instead using the percentage of the low versus the 21-day exponential moving average, version 2 uses a multiple of the securities 50 day ATR (average true range) to determine the extension.
Version 2.0 also comes with some new additions, such as measuring the high vs 21-day exponential moving average when a security is below it, as well as an ATR extension from the 10-day simple moving average that Mike looks to as a guide to take partials.
AIR Vortex ADXThis project started as an effort to improve the user interface of the hybrid indicator ADX of Vortex, which is, as per the name, a blend of ADX and Vortex Indicator. Plotting both indicators on the same polarity and normalising the vortex, a better interpretation of the interaction between the two is possible, and trend becomes apparent.
Basically, the Vortex provides the bright punch and ADX the continuation of the trend and momentum.
A range mixer has been added to the vortex, comprising both true and interpercentile ranges (see my previous script for a desrciption of interpercentile range). Users can activate and add amounts of each as they see fit.
Finally, there is an RSI filter, the idea of which is to filter out ranging (flat) markets, where no distinct direction is yet emerging.
ATR profit and loss linesWhat is ATR?
Taking a candlestick, the following 3 transactions are calculated:
1-The difference between the high of the day and the low of the day
2-The difference between today's high and yesterday's close
3-The difference between today's low and yesterday's close
Atr takes the average of these 14-day candlesticks after making their calculations and it predicts how high or low a candle can go and these give us support and resistance helps with points
If you have noticed a rise in your chart and have no idea how high it will go, you can use Atr profit and loss lines.
The red zone is the stop point, the blue zones are the snow zones.
Must be used with macd. macd is validator.
There is an increase in your chart, you opened the atr profit and loss lines upwards and if macd gives you an increase, it is recommended that you enter the trade at that time. It is recommended to increase your loss line 1 step in the direction of profit every 2 profit breaks on atr profit and loss lines.
ATR Nedir?
Bir mum barı ele alınarak şu 3 işlem hesaplanır:
1-Günün yükseği ile günün düşüğü farkı
2-Günün yükseği ile dünün kapanışının farkı
3-Günün düşüğü ile dünkü kapanışın farkı
ATR ise 14 günlük bu mum barlarının hesaplarını yaptıktan sonra ortalamasını alır ve bir mumum ne kadar yükselip düşebileceği konusunda tahmin verir ve bunlar bize destek ve direnç noktaları konusunda yardımcı olur
Eğer grafiğinizde bir yükseliş farketmişseniz ne kadar yükseleceği konusunda fikriniz yoksa Atr kar zarar çizgilerini kullanabilirsiniz.
Kırmızı bölge durdurma noktası,mavi bölgeler kar bölgeleridir.
Macd ile birlikte kullanılmalıdır.macd doğrulayıcıdır.
Grafiğinizde yükseliş var,atr kar zarar çizgilerini yukarı yönlü açtınız ve macd size yükseliş veriyorsa işte o sırada işleme girmeniz tavsiye edilir.atr kar zarar çizgilerinde her 2 kar kırılımında bir zarar çizginizi kar yönünde 1 kademe arttırmanız önerilir
ATR DeltaThe ATR Delta indicator is based on the concept of Average True Range (ATR), which reflects the average price range over a specified period. By calculating the difference between current and previous ATR values, the ATR Delta provides valuable insights into volatility shifts in the market. This information can help traders identify periods of heightened or diminished price movement, enabling them to adjust their strategies accordingly.
The ATR Delta indicator consists of two main calculations:
-- ATR Calculation : The Average True Range (ATR) is calculated using the specified length parameter. It measures the average price range (including gaps) during that period. A larger ATR value indicates higher volatility, while a smaller value indicates lower volatility.
-- ATR Delta Calculation : The ATR Delta is calculated by subtracting the ATR value of the previous bar from the current ATR value. This calculation captures the change in volatility between the two periods, providing a measure of how volatility has evolved.
Positive ATR Delta values indicate an increase in volatility compared to the previous period. It suggests that price movements have expanded, potentially indicating a more active market. On the other hand, negative ATR Delta values indicate a decrease in volatility compared to the previous period. It suggests that price movements have contracted, potentially signaling a calmer or range-bound market.
The ATR Delta indicator uses coloration to visually represent the relationship between the ATR Delta, zero, and a signal line:
-- Green color is assigned when the ATR Delta is positive, above the signal line, and increasing. This coloration suggests a scenario of higher volatility, as the market is experiencing upward momentum in price swings.
-- Red color is assigned when the ATR Delta is negative, below the signal line, and decreasing. This coloration suggests a scenario of lower volatility, as the market is experiencing downward momentum in price swings.
-- Gray color is assigned for other cases when the ATR Delta and signal line relationship does not meet the above conditions.
These colors are reflected in the columns of the ATR Delta as well as the bar coloration.
The ATR Delta indicator includes a signal line, which acts as a reference for interpreting the ATR Delta values. The signal line is calculated as a moving average (EMA) of the ATR Delta over a specified length. It helps smooth out the ATR Delta fluctuations, providing a clearer indication of the underlying trend in volatility changes. When the ATR Delta crosses above the signal line, it may suggest a potential increase in volatility, indicating a market that is becoming more active. Conversely, when the ATR Delta crosses below the signal line, it may suggest a potential decrease in volatility, indicating a market that is becoming less active.
The coloration of the signal line in the ATR Delta indicator helps to differentiate between positive and negative values and provides further insight into market sentiment. When the signal line is positive, indicating increasing volatility, it is colored lime. This color choice reinforces the bullish sentiment and signifies potential opportunities for trend continuation or breakouts. On the other hand, when the signal line is negative, indicating decreasing volatility, it is colored fuchsia. This color choice highlights the bearish sentiment and suggests potential range-bound or consolidation periods. These colors are reflected in the background of the indicator.
The ATR Delta indicator offers several potential applications for traders:
-- Volatility Analysis : The ATR Delta is invaluable for understanding and analyzing volatility dynamics in the market. Traders can observe the changes in ATR Delta values and use them to assess the current level of price movement. This information can help determine the appropriate strategies and risk management approaches.
-- Breakout Strategies : Traders often use the ATR Delta to identify periods of increased volatility, which frequently accompany breakouts. By monitoring the ATR Delta, traders can anticipate potential price breakouts and adjust their entry and exit levels accordingly.
-- Trend Confirmation : Combining the ATR Delta with trend-following indicators allows traders to validate the strength of a trend. Higher ATR Delta values during an uptrend may indicate stronger momentum and a higher likelihood of continuation. Conversely, lower ATR Delta values during a downtrend may suggest a potential consolidation phase or trend reversal.
Limitations :
-- Lagging Indicator : The ATR Delta indicator is based on historical data and calculates the difference between current and previous ATR values. As a result, it may lag behind real-time market conditions. Traders should be aware of this delay and consider it when making trading decisions. It is advisable to combine the ATR Delta with other indicators or price action analysis for a more comprehensive assessment of market conditions.
-- Parameter Sensitivity : The ATR Delta indicator's effectiveness can be influenced by the selection of its parameters, such as the length of the ATR and signal line. Different market conditions may require adjustments to these parameters to better capture volatility changes. Traders should carefully test and optimize the indicator's parameters to align with the characteristics of the specific market or asset they are trading.
-- Market Regime Changes : The ATR Delta indicator assumes that volatility changes occur gradually. However, in rapidly changing market regimes or during news events, volatility can spike or drop abruptly, potentially rendering the indicator less effective. Traders should exercise caution and consider using additional tools or techniques to identify and adapt to such market conditions.
The ATR Delta indicator is a valuable tool for traders seeking to analyze and monitor volatility dynamics in the market. By calculating the difference between current and previous ATR values, it provides insights into changes in price movement and helps identify periods of increased or decreased volatility. Traders can leverage the ATR Delta to fine-tune their strategies, validate trend strength, and identify potential breakout opportunities. However, it is essential to recognize the limitations of the indicator, including its lagging nature and sensitivity to parameter selection. By combining the ATR Delta with other technical analysis tools and applying sound risk management practices, traders can enhance their decision-making process and potentially improve their trading outcomes.
ATR% multiple from 50-MABig credits again to TradingView User @Fred6724 to develop this tool on my behalf to our community.
How can one measure stock price extension?
In my view, decision-making in the trading business should rely on quantifiable data. A method I personally employ for scaling out and taking partial profits involves setting a threshold based on the multiple of Average True Range (ATR%) from the 50-day Simple Moving Average (SMA). For instance, I find it beneficial to start taking profits when positions exceed 7-10 times the ATR% from the 50-SMA. This practice helps prevent second-guessing or becoming emotionally attached to any particular position.
A relevant example illustrating this concept is the case of PLTR, SOFI, TSLA, VRT, NVDA which experienced a stall and subsequent decline after exceeding 10 times the ATR% from its 50-day moving average.
While there is no foolproof profit-taking mechanism that guarantees selling at the absolute market peak, employing this strategy can be a valuable tool for scaling out profits during extended periods to minimize potential losses.
The formula employed is as below:
A = ATR% = $ ATR / $ Last Done Price
B = % Gain From 50-MA
B / A = ATR% multiple from 50-MA
VIX, ATR, and Volatility Indicatorhere what the indictor do !
The "VIX, ATR, and Volatility Indicator" combines the Volatility Index (VIX), Average True Range (ATR), and moving averages to provide insights into market volatility.
VIX (Volatility Index):
The VIX measures the expected volatility in the market over the next 30 days. A higher VIX value indicates increased market volatility, while a lower value suggests lower volatility.
ATR (Average True Range):
The ATR is a technical indicator that measures the average range between high and low prices over a specified period. It provides a sense of the market's volatility by considering price movements. Higher ATR values indicate greater volatility, while lower values indicate lower volatility.
Moving Averages:
The indicator calculates both an Exponential Moving Average (EMA) and Simple Moving Average (SMA) with a specific period (e.g., 50).
Moving averages smooth out price data to identify trends and potential areas of support or resistance.
Volatility Detection:
By comparing the current closing price to the EMA and SMA, the indicator determines if there is high volatility.
If the current closing price is higher than either the EMA or SMA, it indicates potential high volatility.
Visualization:
The VIX and ATR are typically plotted on the chart, providing a visual representation of market volatility and price range.
Additionally, markers or labels may be used to highlight periods of high volatility when the current price exceeds the moving averages.
what are the VIX and ATR
Volatility Index (VIX):
Monitor the VIX value from financial platforms or market data providers. A higher VIX value indicates increased market volatility, suggesting potential trading opportunities. Conversely, a lower VIX value indicates lower volatility, which may influence your trading strategy.
Average True Range (ATR):
Calculate the ATR manually or use charting platforms that provide ATR as an indicator.
Plot the ATR on your trading chart to visualize the range of price movements.
Determine suitable entry and exit points based on ATR values. For example, higher ATR values may indicate larger potential price swings, while lower ATR values may suggest a more stable market.
how it work
Fetching VIX Data:
The request.security function is used to fetch the daily VIX data from the "CBOE:VIX" symbol. It retrieves the closing price of the VIX for each day.
Calculating ATR:
The ta.atr function calculates the Average True Range (ATR) with a period of 14. ATR measures the average range between the high and low prices over the specified period, providing an indication of market volatility.
Calculating Moving Averages:
Two types of moving averages are calculated: Exponential Moving Average (EMA) and Simple Moving Average (SMA). Both moving averages are calculated using a period of 50, but you can adjust the period as needed.
The ta.ema function calculates the Exponential Moving Average, which places greater weight on recent prices.
The ta.sma function calculates the Simple Moving Average, which gives equal weight to all prices in the period.
Identifying High Volatility:
The indicator determines if there is high volatility by comparing the current closing price to both the EMA and SMA.
If the current closing price is higher than either the EMA or SMA, the isHighVolatility variable is set to true, indicating potential high volatility.
Plotting the Indicators:
The VIX and ATR are plotted using the plot function, assigning colors and line widths for visual differentiation.
The plotshape function is used to plot markers below the bars to indicate highly volatile periods. The isHighVolatility variable determines when the markers appear.
ATR Momentum [QuantVue]ATR Momentum is a dynamic technical analysis tool designed to assess the momentum of a securities price movement. It utilizes the comparison between a faster short-term Average True Range (ATR) and a slower long-term ATR to determine whether momentum is increasing or decreasing.
This indicator visually represents the momentum relationship by plotting both ATR values as lines on a chart and applying color fill between the lines based on if momentum is increasing or decreasing.
When the short-term ATR is greater than the long-term ATR, representing increasing momentum, the area between them is filled with green.
Conversely, when the short-term ATR is less than the long-term ATR line, the area between them is filled with red. This red fill indicates decreasing momentum.
Don't hesitate to reach out with any questions or concerns.
We hope you enjoy!
Cheers.
Volatility Compression Breakout - LeafAlgo Pro StrategyThe Volatility Compression Breakout strategy is designed to identify periods of low volatility followed by potential breakout opportunities in the market. It aims to capture moments when the price consolidates within a narrow range, indicating a decrease in volatility, and anticipates a subsequent expansion in price movement. This strategy is based on our indicator of the same name (), but differs by offering many more options for the band/channel type and trend filters in addition to implementing the ability to use this strategy with algorithmic plug-ins (see details at the bottom).
This strategy features six types of bands/channels and five types of trend filters, for a total of 30 combinations. The six band/channel types are the Adaptive Gaussian MA channel (based on the Adaptive Gaussian MA that we previously published ()), standard Bollinger Bands, smoothed Bollinger Bands (basis is an EMA of the typical Bollinger Basis), Keltner Channels, a Quadratic Regression Channel (based on the channel that we previously published in the LeafAlgo Pro indicator ()), and Volatility-Based Mean Reversion Bands (). The five trend filters include an EMA, SMA, Weighted MA, McGinley Dynamic, and the Adaptive Gaussian MA itself.
Examples of the different band/channel types (all with EMA as the trend filter):
Adaptive Gaussian MA Channel:
Bollinger Bands:
Smoothed Bollinger Bands:
Keltner Channels:
Quadratic Regression Channel:
Volatility-Based Mean Reversion Bands:
Examples of the different trend filters (all with Keltner Channels):
EMA:
SMA:
WMA:
McGinley Dynamic:
Adaptive Gaussian MA:
How the Long/Short Entry Signals are Calculated:
A breakout signal upwards, accompanied by a long entry, is created when the high is greater than the secondary upper band (the upper band plus a standard deviation or with a multiplier, depending on which band/channel type is selected), the latest close is above the trend filter line, and the previous close was below the trend filter line. A break downwards, accompanied by a short entry, is created when the low is below the secondary lower band, the close is below the trend filter line, and the previous close was above the trend filter line. These conditions, along with a confirmed barstate, make up the strategy entry signals.
Coloration:
When the close price is above both the middle/basis and the trend filter, the bars are colored lime green, indicating a potential bullish market sentiment. When the close price is positioned above the basis but below the trend filter, or below the basis but above the trend filter, the bars are colored yellow, signifying a neutral or indecisive market condition. Conversely, when the close price falls below both the basis and the trend filter, the bars are colored fuchsia, suggesting a potential bearish market sentiment. Additionally, the coloration of the middle/basis line and the trend filter provides further visual cues for assessing the trend. When the close price is above the basis, the line is colored lime green, indicating a bullish trend. Conversely, when the close price is below the basis, the line is colored fuchsia, highlighting a bearish trend. Similarly, the trend line is colored lime green when the close price is above it, representing a bullish trend, and fuchsia when the close price is below it, indicating a bearish trend. The fill between the primary and secondary upper bands is colored lime and the fill between the primary and secondary lower bands is colored fuchsia. These colorations can be toggled on/off in the strategy settings menu.
How Changing Parameters Can Be Beneficial:
Modifying the parameters allows you to adapt the indicator to different market conditions and trading styles. For example, with Keltner Channels, increasing the compression period can help identify broader volatility patterns and major market shifts. On the other hand, decreasing the compression period provides more precise and timely signals for short-term traders. Adjusting the compression multiplier affects the width of the Keltner Channels. Higher multipliers increase the breakout threshold, filtering out smaller price movements and providing more reliable signals during significant market shifts. Lower multipliers make the indicator more sensitive to smaller price ranges, generating more frequent but potentially less reliable signals.
Changing the type of trend filter can drastically change your results. Test out each trend filter type and determine which one will work best for your purposes. Further, the MA periods in the trend filter settings can help you align your trades with the prevailing market direction. Increasing the period smoothes out the trend, filtering out shorter-term fluctuations and focusing on more sustained moves. Decreasing the period allows for quicker responses to changes in trend, capturing shorter-term price swings.
By adjusting the parameters and incorporating additional analysis techniques, you can customize the strategy to suit your trading style and preferences. However, it is crucial to exercise caution, conduct thorough analysis, and practice proper risk management to increase the likelihood of successful trades. Remember that no strategy can guarantee profits, and continuous learning and adaptation are key to long-term trading success.
Take Profit/Stop Loss Settings:
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”. The take profit and stop loss levels will be reflected as green and red lines respectively on the chart as they occur. 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 option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does 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.
Profitview/Pineconnector 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. 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. If using Pineconnector, follow the same directions for setting up an alert, but use the ",buy,,risk=" syntax as noted in the tooltips.
Additional Sample Settings (for ETHUSDT-Binance 45M):
Band/Channel Type - Keltner Channels (Compression Period of 20, Multiplier of 1.8x)
Trend Filter - WMA (50 length, no offset, close as the source)
TP/SL - 3.0% TP / 2.0% SL, 0.005 trailed TP, no trailed SL
VolatilityIndicatorsLibrary "VolatilityIndicators"
This is a library of Volatility Indicators .
It aims to facilitate the grouping of this category of indicators, and also offer the customized supply of
the parameters and sources, not being restricted to just the closing price.
@Thanks and credits:
1. Dynamic Zones: Leo Zamansky, Ph.D., and David Stendahl
2. Deviation: Karl Pearson (code by TradingView)
3. Variance: Ronald Fisher (code by TradingView)
4. Z-score: Veronique Valcu (code by HPotter)
5. Standard deviation: Ronald Fisher (code by TradingView)
6. ATR (Average True Range): J. Welles Wilder (code by TradingView)
7. ATRP (Average True Range Percent): millerrh
8. Historical Volatility: HPotter
9. Min-Max Scale Normalization: gorx1
10. Mean Normalization: gorx1
11. Standardization: gorx1
12. Scaling to unit length: gorx1
13. LS Volatility Index: Alexandre Wolwacz (Stormer), Fabrício Lorenz, Fábio Figueiredo (Vlad) (code by me)
14. Bollinger Bands: John Bollinger (code by TradingView)
15. Bollinger Bands %: John Bollinger (code by TradingView)
16. Bollinger Bands Width: John Bollinger (code by TradingView)
dev(source, length, anotherSource)
Deviation. Measure the difference between a source in relation to another source
Parameters:
source (float)
length (simple int) : (int) Sequential period to calculate the deviation
anotherSource (float) : (float) Source to compare
Returns: (float) Bollinger Bands Width
variance(src, mean, length, biased, degreesOfFreedom)
Variance. A statistical measurement of the spread between numbers in a data set. More specifically,
variance measures how far each number in the set is from the mean (average), and thus from every other number in the set.
Variance is often depicted by this symbol: σ2. It is used by both analysts and traders to determine volatility and market security.
Parameters:
src (float) : (float) Source to calculate variance
mean (float) : (float) Mean (Moving average)
length (simple int) : (int) The sequential period to calcule the variance (number of values in data set)
biased (simple bool) : (bool) Defines the type of standard deviation. If true, uses biased sample variance (n),
degreesOfFreedom (simple int) : (int) Degrees of freedom. The number of values in the final calculation of a statistic that are free to vary.
Default value is n-1, where n here is length. Only applies when biased parameter is defined as true.
Returns: (float) Standard deviation
stDev(src, length, mean, biased, degreesOfFreedom)
Measure the Standard deviation from a source in relation to it's moving average.
In this implementation, you pass the average as a parameter, allowing a more personalized calculation.
Parameters:
src (float) : (float) Source to calculate standard deviation
length (simple int) : (int) The sequential period to calcule the standard deviation
mean (float) : (float) Moving average.
biased (simple bool) : (bool) Defines the type of standard deviation. If true, uses biased sample variance (n),
else uses unbiased sample variance (n-1 or another value, as long as it is in the range between 1 and n-1), where n=length.
degreesOfFreedom (simple int) : (int) Degrees of freedom. The number of values in the final calculation of a statistic that are free to vary.
Default value is n-1, where n here is length.
Returns: (float) Standard deviation
zscore(src, mean, length, biased, degreesOfFreedom)
Z-Score. A z-score is a statistical measurement that indicates how many standard deviations a data point is from
the mean of a data set. It is also known as a standard score. The formula for calculating a z-score is (x - μ) / σ,
where x is the individual data point, μ is the mean of the data set, and σ is the standard deviation of the data set.
Z-scores are useful in identifying outliers or extreme values in a data set. A positive z-score indicates that the
data point is above the mean, while a negative z-score indicates that the data point is below the mean. A z-score of
0 indicates that the data point is equal to the mean.
Z-scores are often used in hypothesis testing and determining confidence intervals. They can also be used to compare
data sets with different units or scales, as the z-score standardizes the data. Overall, z-scores provide a way to
measure the relative position of a data point in a data
Parameters:
src (float) : (float) Source to calculate z-score
mean (float) : (float) Moving average.
length (simple int) : (int) The sequential period to calcule the standard deviation
biased (simple bool) : (bool) Defines the type of standard deviation. If true, uses biased sample variance (n),
else uses unbiased sample variance (n-1 or another value, as long as it is in the range between 1 and n-1), where n=length.
degreesOfFreedom (simple int) : (int) Degrees of freedom. The number of values in the final calculation of a statistic that are free to vary.
Default value is n-1, where n here is length.
Returns: (float) Z-score
atr(source, length)
ATR: Average True Range. Customized version with source parameter.
Parameters:
source (float) : (float) Source
length (simple int) : (int) Length (number of bars back)
Returns: (float) ATR
atrp(length, sourceP)
ATRP (Average True Range Percent)
Parameters:
length (simple int) : (int) Length (number of bars back) for ATR
sourceP (float) : (float) Source for calculating percentage relativity
Returns: (float) ATRP
atrp(source, length, sourceP)
ATRP (Average True Range Percent). Customized version with source parameter.
Parameters:
source (float) : (float) Source for ATR
length (simple int) : (int) Length (number of bars back) for ATR
sourceP (float) : (float) Source for calculating percentage relativity
Returns: (float) ATRP
historicalVolatility(lengthATR, lengthHist)
Historical Volatility
Parameters:
lengthATR (simple int) : (int) Length (number of bars back) for ATR
lengthHist (simple int) : (int) Length (number of bars back) for Historical Volatility
Returns: (float) Historical Volatility
historicalVolatility(source, lengthATR, lengthHist)
Historical Volatility
Parameters:
source (float) : (float) Source for ATR
lengthATR (simple int) : (int) Length (number of bars back) for ATR
lengthHist (simple int) : (int) Length (number of bars back) for Historical Volatility
Returns: (float) Historical Volatility
minMaxNormalization(src, numbars)
Min-Max Scale Normalization. Maximum and minimum values are taken from the sequential range of
numbars bars back, where numbars is a number defined by the user.
Parameters:
src (float) : (float) Source to normalize
numbars (simple int) : (int) Numbers of sequential bars back to seek for lowest and hightest values.
Returns: (float) Normalized value
minMaxNormalization(src, numbars, minimumLimit, maximumLimit)
Min-Max Scale Normalization. Maximum and minimum values are taken from the sequential range of
numbars bars back, where numbars is a number defined by the user.
In this implementation, the user explicitly provides the desired minimum (min) and maximum (max) values for the scale,
rather than using the minimum and maximum values from the data.
Parameters:
src (float) : (float) Source to normalize
numbars (simple int) : (int) Numbers of sequential bars back to seek for lowest and hightest values.
minimumLimit (simple float) : (float) Minimum value to scale
maximumLimit (simple float) : (float) Maximum value to scale
Returns: (float) Normalized value
meanNormalization(src, numbars, mean)
Mean Normalization
Parameters:
src (float) : (float) Source to normalize
numbars (simple int) : (int) Numbers of sequential bars back to seek for lowest and hightest values.
mean (float) : (float) Mean of source
Returns: (float) Normalized value
standardization(src, mean, stDev)
Standardization (Z-score Normalization). How "outside the mean" values relate to the standard deviation (ratio between first and second)
Parameters:
src (float) : (float) Source to normalize
mean (float) : (float) Mean of source
stDev (float) : (float) Standard Deviation
Returns: (float) Normalized value
scalingToUnitLength(src, numbars)
Scaling to unit length
Parameters:
src (float) : (float) Source to normalize
numbars (simple int) : (int) Numbers of sequential bars back to seek for lowest and hightest values.
Returns: (float) Normalized value
lsVolatilityIndex(movingAverage, sourceHvol, lengthATR, lengthHist, lenNormal, lowerLimit, upperLimit)
LS Volatility Index. Measures the volatility of price in relation to an average.
Parameters:
movingAverage (float) : (float) A moving average
sourceHvol (float) : (float) Source for calculating the historical volatility
lengthATR (simple int) : (float) Length for calculating the ATR (Average True Range)
lengthHist (simple int) : (float) Length for calculating the historical volatility
lenNormal (simple int) : (float) Length for normalization
lowerLimit (simple int)
upperLimit (simple int)
Returns: (float) LS Volatility Index
lsVolatilityIndex(sourcePrice, movingAverage, sourceHvol, lengthATR, lengthHist, lenNormal, lowerLimit, upperLimit)
LS Volatility Index. Measures the volatility of price in relation to an average.
Parameters:
sourcePrice (float) : (float) Source for measure the distance
movingAverage (float) : (float) A moving average
sourceHvol (float) : (float) Source for calculating the historical volatility
lengthATR (simple int) : (float) Length for calculating the ATR (Average True Range)
lengthHist (simple int) : (float) Length for calculating the historical volatility
lenNormal (simple int)
lowerLimit (simple int)
upperLimit (simple int)
Returns: (float) LS Volatility Index
bollingerBands(src, length, mult, basis)
Bollinger Bands. A Bollinger Band is a technical analysis tool defined by a set of lines plotted
two standard deviations (positively and negatively) away from a simple moving average (SMA) of the security's price,
but can be adjusted to user preferences. In this version you can pass a customized basis (moving average), not only SMA.
Parameters:
src (float) : (float) Source to calculate standard deviation used in Bollinger Bands
length (simple int) : (int) The time period to be used in calculating the standard deviation
mult (simple float) : (float) Multiplier used in standard deviation. Basically, the upper/lower bands are standard deviation multiplied by this.
basis (float) : (float) Basis of Bollinger Bands (a moving average)
Returns: (float) A tuple of Bollinger Bands, where index 1=basis; 2=basis+dev; 3=basis-dev; and dev=multiplier*stdev
bollingerBands(src, length, aMult, basis)
Bollinger Bands. A Bollinger Band is a technical analysis tool defined by a set of lines plotted
two standard deviations (positively and negatively) away from a simple moving average (SMA) of the security's price,
but can be adjusted to user preferences. In this version you can pass a customized basis (moving average), not only SMA.
Also, various multipliers can be passed, thus getting more bands (instead of just 2).
Parameters:
src (float) : (float) Source to calculate standard deviation used in Bollinger Bands
length (simple int) : (int) The time period to be used in calculating the standard deviation
aMult (float ) : (float ) An array of multiplies used in standard deviation. Basically, the upper/lower bands are standard deviation multiplied by this.
This array of multipliers permit the use of various bands, not only 2.
basis (float) : (float) Basis of Bollinger Bands (a moving average)
Returns: (float ) An array of Bollinger Bands, where:
index 1=basis; 2=basis+dev1; 3=basis-dev1; 4=basis+dev2, 5=basis-dev2, 6=basis+dev2, 7=basis-dev2, Nup=basis+devN, Nlow=basis-devN
and dev1, dev2, devN are ```multiplier N * stdev```
bollingerBandsB(src, length, mult, basis)
Bollinger Bands %B - or Percent Bandwidth (%B).
Quantify or display where price (or another source) is in relation to the bands.
%B can be useful in identifying trends and trading signals.
Calculation:
%B = (Current Price - Lower Band) / (Upper Band - Lower Band)
Parameters:
src (float) : (float) Source to calculate standard deviation used in Bollinger Bands
length (simple int) : (int) The time period to be used in calculating the standard deviation
mult (simple float) : (float) Multiplier used in standard deviation
basis (float) : (float) Basis of Bollinger Bands (a moving average)
Returns: (float) Bollinger Bands %B
bollingerBandsB(src, length, aMult, basis)
Bollinger Bands %B - or Percent Bandwidth (%B).
Quantify or display where price (or another source) is in relation to the bands.
%B can be useful in identifying trends and trading signals.
Calculation
%B = (Current Price - Lower Band) / (Upper Band - Lower Band)
Parameters:
src (float) : (float) Source to calculate standard deviation used in Bollinger Bands
length (simple int) : (int) The time period to be used in calculating the standard deviation
aMult (float ) : (float ) Array of multiplier used in standard deviation. Basically, the upper/lower bands are standard deviation multiplied by this.
This array of multipliers permit the use of various bands, not only 2.
basis (float) : (float) Basis of Bollinger Bands (a moving average)
Returns: (float ) An array of Bollinger Bands %B. The number of results in this array is equal the numbers of multipliers passed via parameter.
bollingerBandsW(src, length, mult, basis)
Bollinger Bands Width. Serve as a way to quantitatively measure the width between the Upper and Lower Bands
Calculation:
Bollinger Bands Width = (Upper Band - Lower Band) / Middle Band
Parameters:
src (float) : (float) Source to calculate standard deviation used in Bollinger Bands
length (simple int) : (int) Sequential period to calculate the standard deviation
mult (simple float) : (float) Multiplier used in standard deviation
basis (float) : (float) Basis of Bollinger Bands (a moving average)
Returns: (float) Bollinger Bands Width
bollingerBandsW(src, length, aMult, basis)
Bollinger Bands Width. Serve as a way to quantitatively measure the width between the Upper and Lower Bands
Calculation
Bollinger Bands Width = (Upper Band - Lower Band) / Middle Band
Parameters:
src (float) : (float) Source to calculate standard deviation used in Bollinger Bands
length (simple int) : (int) Sequential period to calculate the standard deviation
aMult (float ) : (float ) Array of multiplier used in standard deviation. Basically, the upper/lower bands are standard deviation multiplied by this.
This array of multipliers permit the use of various bands, not only 2.
basis (float) : (float) Basis of Bollinger Bands (a moving average)
Returns: (float ) An array of Bollinger Bands Width. The number of results in this array is equal the numbers of multipliers passed via parameter.
dinamicZone(source, sampleLength, pcntAbove, pcntBelow)
Get Dynamic Zones
Parameters:
source (float) : (float) Source
sampleLength (simple int) : (int) Sample Length
pcntAbove (simple float) : (float) Calculates the top of the dynamic zone, considering that the maximum values are above x% of the sample
pcntBelow (simple float) : (float) Calculates the bottom of the dynamic zone, considering that the minimum values are below x% of the sample
Returns: A tuple with 3 series of values: (1) Upper Line of Dynamic Zone;
(2) Lower Line of Dynamic Zone; (3) Center of Dynamic Zone (x = 50%)
Examples:
Volume Spike, Price Move >3% Spike with Vol & Gap Up IdentifierTitle: Identifying Volume Spikes, Price Movements and Gap Ups: A TradingView Script
Introduction:
In the world of trading, identifying volume spikes and price movements can provide valuable insights into market trends and potential trading opportunities. In this article, we'll explore a TradingView script that helps traders visualize volume spikes, price up moves with volume spikes, and gap-up days on their charts.
Detecting Price Up Moves:
The script starts by calculating price up moves. It compares the current day's closing price with the previous day's closing price and checks if it has increased by 3% or more. This helps traders spot significant upward price movements.
Detecting Volume Spurts:
Next, the script focuses on detecting volume spikes, which are often associated with increased market activity and potential trading opportunities. It compares the current day's volume with the highest volume of the previous nine sessions. If the current volume exceeds all the volumes of the previous nine sessions, it is considered a volume spurt.
Example:
Let's consider a hypothetical scenario where we have the following volume data for a stock:
Day 1: 100,000
Day 2: 80,000
Day 3: 120,000
Day 4: 150,000
Day 5: 200,000
Day 6: 90,000
Day 7: 110,000
Day 8: 130,000
Day 9: 140,000
Day 10: 250,000 (current day)
To determine if there is a volume spurt on Day 10, the script compares the current day's volume (250,000) with the highest volume of the previous nine sessions. In this case, the highest volume among the previous nine sessions is 200,000 (on Day 5). Since the current day's volume (250,000) exceeds the highest volume of the previous nine sessions (200,000), it is considered a volume spurt.
Identifying Gap-Up Days:
Gap-up days occur when the market opens significantly higher than the previous day's close. To identify these days, the script compares the current day's low price with the previous day's high price. If the low price is greater than the previous day's high, it is marked as a gap-up day.
Visualizing the Findings:
To provide a clear visual representation of the identified patterns, the script uses different shapes and colors. First, it plots small red dots above the candles whenever a volume spurt is detected. These dots help traders quickly identify periods of increased volume activity.
For price up moves with volume spikes, the script utilizes blue triangular shapes below the candles. This allows traders to pinpoint instances where both price and volume are showing positive signs, indicating potential bullish movements.
Additionally, the script incorporates green candles to represent gap-up days. These candles help traders recognize days when the market opens with a significant upward gap, suggesting a potential shift in market sentiment.
Conclusion:
The TradingView script discussed in this article provides traders with a visual representation of volume spikes , price up moves with volume spikes , and gap-up days . By incorporating these visual cues into their analysis, traders can gain valuable insights into market trends and potential trading opportunities.
Remember, this script should be used for educational and informational purposes only and does not serve as financial advice or recommendations. Traders are encouraged to customize and modify the script according to their specific trading strategies and risk tolerance.
Share this script with other traders on TradingView to enhance their chart analysis and trading decisions.
PS: This TradingView script is designed to work specifically on the daily timeframe (daily candles). It calculates and identifies volume spurts based on the volume data of the daily timeframe. Since it is designed for the daily timeframe, it may not produce accurate results or work as intended on other timeframes.
Extended Price for Pullback IdentifierOverview
This script was created from an idea I saw on one of John Pocorobba's General Market Update videos. In it, he mentions that he's looking for certain criteria to signal that price may be extended and that a pullback may be coming. This script helps to identify those candles. It also goes a step further and identifies if the candle has not only met the criteria but has also has moved at least 1 ATR at the close.
By default, the potentially extended candles are colored gold and the potentially extended candles with an ATR are colored blue. Both are editable as is the ATR length.
There are many ways to fine-tune this script to get it to fit the security in which you're interested and there are some additional niceties to help make the indicator more well-rounded.
NOTE: This script is meant to be used on indexes or index ETF's and only on the Daily timeframe.
How It Works
- Allows the user to modify the minimum distance between the close and the fast EMA to fine-tune the filter (this is one of John's key criteria).
- Ensures that the distance between the fast and slow EMA's is less than the distance between the close and fast EMA (this is one of John's key criteria).
- Ensures that all three moving averages are in the correct order (fast > slow > base)
- Ensures that the candle closed higher than the previous one and can be tuned to identify when price has been in a trend for however many days you want.
- Checks for a fine-tunable gap to help filter out large gap-ups that may be just a breakout or something else unrelated to a potential pullback.
- Plots the moving averages (also editable), if desired.
- Allows the ATR filter to be decoupled from the extended price filter should the trader want to see only the ATR candles.
- Allows the trader to determine if they want to colorize just the up candles or both up and down candles.
Troubleshooting
- If you're not seeing colored candles ensure that the indicator is placed at the top of the Object Tree. You can get there by clicking the icon in the lower-right corner of TradingView that looks like a stack of papers and then dragging the indicator to the top of the list.
- If you're still not seeing colored candles play around with the settings until some start to show up. Depending on the security, some of the settings may need to be very low.
Future Updates & Suggestions
I'm considering adding in a 'Presets' dropdown that will load default settings for certain indexes and/or index ETF's (no individual stocks). If this is something you think would be useful, or if you have some settings of your own for an index or index ETF that you'd like to have added, let me know in the comments below.
AcceleratorATR A more rapid successor to the volatility-calibrated ATR. It uses a volatility estimator in the calculation (doesn't underestimate volatility as much and more responsive in ranges) as a multiplier on a typical ATR. The volatility estimator is not as biased as classic estimators. There is an option to allow the root values to be dependent on the timeframe or manually tuned. The higher the value of the root, the higher the frequency of signals. The length and log power are not as significant parameters as the root but the script is still sensitive to these parameters.
A long or short signal does not indicate a trade should be taken, only to highlight the change in direction. It is often better to wait for a pullback (in the area of a long) before you take a trade. To be used in conjunction with your system.
*ATR Levels*This script is an enhanced version of "Saty's ATR Levels". With the help of SimpleCryptoLife, he reimagined the script to include these differences:
-view the ATR levels easily with labels and know where the price action is in relation to a specific level
-the included "price follow line" extends across the screen and through the ATR levels label to allow you to easily identify which level you're in or about to enter either on an upswing or downswing
- a +/- 4 and 5 ATR level created that can be turned on for those crazy runners, occasionally a stock will run >5 ATR if you're lucky
Select levels are standard when firing up the indicator but you can click on the appropriate levels to suit your needs and save it from there.
There are several modes to choose from >> Day, Multiday, Swing, Position and Long-Term - Try them out and see what works best for your trading style. For instance:
-Day mode is great for, you guessed it, day trades whether long or shot and ideally paired with 1h or less timeframes
-Multiday is similar to Swing mode and is great for trades less than a week and generally paired with 30m to 1 day timeframe
-Swing mode is great for 1-3 week trades and can be used on higher timeframe such as 30m to 1 day
-Position & long term are of course for longer term trades and ideally paired with 4 hour to 1 month timeframes
ATR length of 14 is standard (look up "Wilder's 14")
Trend indicator based off of the 9-21-34 EMAs // - Range against ATR for each period // - Put and call trigger levels table was created by Saty, located in upper right
Generally, once a candle hits the 23.6% level, look to "go long" but be sure to wait for confluences that support your strategy. Maybe you can wait till the 38.2 level or even higher, dependent on your risk tolerance (stop loss recommended). A candle could come back and retest a certain level that you're eyeing and then continue upwards. As each level is hit, the greater the chance to hit 1 ATR (or higher!). You can start to scale out of a trade at any level but any of the main ATR levels like +1, +2 and so on would be ideal places to take some profit. Keep in mind that a stock can make a run in the pre-market and once the opening bell hits the stock might already be above the +1 ATR level or higher. Conversely the aforementioned is true for stocks to short. The -23.6% level would a "trigger" level but you can use -38.2 etc
Regarding the "use current close" check box: if you're in after or pre-market hours, the ATR levels will remain from the previous day so you'll want to check this box to see what the new levels will be for the current day. But you'll want to uncheck it and leave it unchecked throughout the trading day.
If you find this indicator invaluable and it helps you become a more consistent and profitable trader, feel free to give it a boost and leave a comment if you so desire. As always, trade at your own risk and never use more money than you afford to lose.
Focused Average True RangeThe Focused Average True Range (FATR) is a modified version of the classic Average True Range (ATR) indicator. It is designed to provide traders with more accurate data on volatility, minimizing the impact of sharp spikes in volatility.
The main distinction between the Focused ATR and the standard ATR lies in the utilization of percentiles. Instead of calculating the average price change as the regular ATR does, the Focused ATR selects a value in the middle of the range of price changes. This makes it less sensitive to sharp changes in volatility, which can be beneficial in certain trading scenarios.
Settings:
Percentile. This parameter determines which value in the series of price changes will be used. For example, if the percentile is set to 50, the indicator will use the median value of the series of price changes. This is the default value. Imagine a class of students lined up by height, and instead of calculating the average height of all students, we take the height of the students in the middle of the line. Similarly here, we take the ATR from the middle of the series. Increasing the percentile will lead to the use of a value closer to the upper bound of the range, while decreasing the percentile will lead to the use of a value closer to the lower bound.
How to Use:
The Focused ATR is especially useful for determining the sizes of stop-losses and take-profits, thanks to its ability to consider the value in the middle of the series of price changes rather than the average value. This allows traders to more accurately assess volatility and risk, which in turn can assist in optimizing trading strategies
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Фокусированный Средний Истинный Диапазон (Focused ATR) представляет собой модифицированную версию классического индикатора ATR. Он разработан с целью предоставления трейдерам более точных данных о волатильности, минимизируя влияние резких скачков волатильности.
Основное отличие Фокусированного ATR от стандартного ATR заключается в использовании процентиля. Вместо того, чтобы рассчитывать среднее значение изменений цены, как это делает обычный ATR, Фокусированный ATR выбирает значение в середине диапазона изменений цены. Это делает его менее чувствительным к резким изменениям волатильности, что может быть полезно в некоторых торговых сценариях.
Настройки:
Процентиль. Этот параметр определяет, какое значение в ряду изменений цены будет использоваться. Например, если процентиль равен 50, то индикатор будет использовать медианное значение ряда изменений цены. Это стандартное значение. Представьте себе, что ученики класса выстроились по росту, и мы считаем не средний рост всех учеников, а берем рост учеников из середины колонны. Так и тут. Мы берем ATR из середины ряда. Увеличение процентиля приведет к использованию значения, ближе к верхней границе диапазона, в то время как уменьшение процентиля приведет к использованию значения, ближе к нижней границе.
Как использовать:
Фокусированный ATR особенно полезен для определения размеров стоп-лоссов и тейк-профитов, благодаря своей способности учитывать значение в середине ряда изменений цены, а не среднее значение. Это позволяет трейдерам более точно оценить волатильность и риск, что в свою очередь может помочь в оптимизации торговых стратегий.
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Supply and Demand Deluxe (Stock Justice)Introducing " Supply and Demand Deluxe (Stock Justice) " - the ultimate TradingView indicator that revolutionizes how traders identify crucial supply and demand levels. With its unrivaled capabilities across multiple timeframes, this indicator offers a comprehensive toolkit for traders seeking an edge in the market.
To fully harness the power of "Supply and Demand Deluxe," traders can fine-tune the indicator's input parameters to suit their preferences and trading strategies. Let's delve into the key components and functionalities that make this indicator truly exceptional:
Daily and Weekly Pivots :
The indicator empowers you to plot vital reference points, including the previous week's high and low, yesterday's high and low, and the midpoint of yesterday's range. These plots provide invaluable insights into market sentiment and potential turning points.
Weekly Supply and Demand Levels :
Regardless of what timeframe you are looking at, this indicator allows you to unlock the ability to plot weekly supply and demand levels directly on your chart. Enjoy the freedom to customize the number of levels to plot, choose line colors and styles, and decide whether to extend the lines. For a more comprehensive analysis, enable the "Show Price" option to view the associated prices.
Daily Supply and Demand Levels :
Similar to the weekly levels, this feature allows you to plot daily supply and demand levels with ease. Tailor the number of levels, line colors, and styles to your preferences. The "Extend Left" and "Extend Right" options provide flexibility in determining whether the lines extend to the left, right, or both. Enable the "Show Price" option to display the corresponding prices, enhancing your decision-making process.
Hourly Supply and Demand Levels :
Effortlessly plot hourly supply and demand levels on your chart. The indicator automatically identifies these levels based on the highest and lowest values of previous ranges. Customize the number of levels, line colors, and styles to match your visual preferences. As with the previous features, you can display prices associated with these levels, amplifying your trading insights.
ATR Expected Moves :
Gain a deeper understanding of potential price moves with the ATR Expected Moves feature. Based on the Average True Range (ATR), this functionality allows you to plot expected price ranges. Adjust the lookback length and multipliers to fine-tune the calculation according to your trading style. With the flexibility to extend lines, choose colors and line styles, and display prices, you can adapt the indicator to your specific needs.
Futures Levels :
For futures traders, "Supply and Demand Deluxe" provides specific levels for the Midnight Open, London Open, Asian Open, and the 8:30am EST level. These pre-defined levels act as valuable reference points, enabling you to navigate futures markets with confidence.
By incorporating these cutting-edge features, the Supply and Demand Deluxe indicator by Stock Justice empowers traders to identify key supply and demand levels across various timeframes. Its customizable visual elements and adaptable parameters allow traders to align the indicator with their unique trading strategies, amplifying their potential for success.
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UNIQUENESS
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This one-of-a-kind indicator stands out from existing tools in the market due to its unparalleled combination of features and customization options. While other indicators may focus on specific aspects of supply and demand analysis, "Supply and Demand Deluxe (Stock Justice)" brings together a comprehensive suite of tools that cater to traders across various timeframes. From daily and weekly pivots to hourly supply and demand levels, this indicator covers a wide range of trading scenarios, allowing users to gain a holistic view of market dynamics.
What truly sets "Supply and Demand Deluxe" apart is the fact that it is its emphasis on customization. Traders have the freedom to fine-tune every aspect of the indicator, from the number of plotted levels to the colors, line styles, and extension options. By providing such extensive customization capabilities, this indicator enables traders to align it precisely with their unique trading strategies and preferences. Whether you're an aggressive short-term trader or a patient long-term investor, "Supply and Demand Deluxe" adapts to your individual style, empowering you to make well-informed trading decisions.
Furthermore, the incorporation of the ATR Expected Moves feature adds an extra layer of sophistication to this indicator. By leveraging the Average True Range, traders can gain insights into expected price ranges, enhancing their risk management and trade planning. The ability to adjust the lookback length and multipliers ensures that traders can adapt the ATR calculations to suit their desired level of precision. This feature, combined with the indicator's visual plots and customizable elements, sets "Supply and Demand Deluxe (Stock Justice)" in a league of its own, providing traders with an edge in understanding and navigating the market.
In summary, the uniqueness of "Supply and Demand Deluxe (Stock Justice)" lies in its comprehensive approach to supply and demand analysis, its extensive customization options, and the incorporation of the ATR Expected Moves feature. With its ability to cater to traders across various timeframes and adapt to individual trading styles, this indicator empowers users to unlock the full potential of supply and demand analysis and make informed trading decisions with confidence.
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Embrace the future of trading with "Supply and Demand Deluxe (Stock Justice)" and unleash the full potential of supply and demand analysis in your trading endeavors. Elevate your trading journey with this game-changing indicator.
Donchian Volatility Indicator - Adaptive Channel WidthThis indicator is designed to help traders assess and analyze market volatility. By calculating the width of the Donchian channels, it provides valuable insights into the range of price movements over a specified period. This indicator helps traders identify periods of high and low volatility, enabling them to make more informed trading decisions.
The indicator is based on the concept of Donchian channels, which consist of the highest high and lowest low over a specified lookback period. The channel width is calculated as the difference between the upper and lower channels. A wider channel indicates higher volatility, suggesting potentially larger price movements and increased trading opportunities. On the other hand, a narrower channel suggests lower volatility, indicating a relatively calmer market environment with potentially fewer trading opportunities.
The adaptive aspect of the indicator refers to its ability to adjust the width of the channels dynamically based on market conditions. The indicator calculates the width of the channels using the Average True Range (ATR) indicator, which measures the average range of price movements over a specified period. By multiplying the ATR value with the user-defined ATR multiplier, the indicator adapts the width of the channels to reflect the current level of volatility. During periods of higher volatility, the channels expand to accommodate larger price movements, providing a broader range for assessing volatility. Conversely, during periods of lower volatility, the channels contract, reflecting the narrower price ranges and signaling a decrease in volatility. This adaptive nature allows traders to have a flexible and responsive measure of volatility, ensuring that the indicator reflects the current market conditions accurately.
To provide further insights, the indicator includes a signal line. The signal line is derived from the channel width and is calculated as a simple moving average over a specified signal period. This signal line acts as a reference level, allowing traders to compare the current channel width with the average width over a given time frame. By assessing whether the current channel width is above or below the signal line, traders can gain additional context on the volatility level in the market.
The colors used in the Donchian Volatility Indicator - Adaptive Channel Width play a vital role in visualizing the volatility levels:
-- Lime Color : When the channel width is above the signal line, it is colored lime. This color signifies that volatility has entered the market, indicating potentially higher price movements and increased trading opportunities. Traders can pay closer attention to the lime-colored channel width as it may suggest favorable conditions for trend-following or breakout trading strategies.
-- Fuchsia Color : When the channel width is below the signal line, it is colored fuchsia. This color represents relatively low volatility, suggesting a calmer market environment with potentially fewer trading opportunities. Traders may consider adjusting their strategies during periods of low volatility, such as employing range-bound or mean-reversion strategies.
-- Aqua Color : The signal line is represented by the aqua color. This color allows traders to easily identify the signal line amidst the channel width. The aqua color provides a visual reference for the average channel width and helps traders assess whether the current width is above or below this average.
The Donchian Volatility Indicator - Adaptive Channel Width has several practical applications for traders:
-- Volatility Assessment : Traders can use this indicator to assess the level of volatility in the market. By observing the width of the Donchian channels and comparing it to the signal line, they can determine whether the current volatility is relatively high or low. This information helps traders set appropriate expectations and adjust their trading strategies accordingly.
-- Breakout Trading : Wide channel widths may indicate an increased likelihood of price breakouts. Traders can use the Donchian Volatility Indicator - Adaptive Channel Width to identify potential breakout opportunities. When the channel width exceeds the signal line, it suggests a higher probability of significant price movements, potentially signaling a breakout. Traders may consider entering trades in the direction of the breakout.
-- Risk Management : The indicator can assist in setting appropriate stop-loss levels based on the current volatility. During periods of high volatility (lime-colored channel width), wider stop-loss orders may be warranted to account for larger price swings. Conversely, during periods of low volatility (fuchsia-colored channel width), narrower stop-loss orders may be appropriate to limit risk in a more range-bound market.
While the Donchian Volatility Indicator - Adaptive Channel Width is a valuable tool, it is important to consider its limitations:
-- Lagging Indicator : The indicator relies on historical price data, making it a lagging indicator. It provides insights based on past price movements and may not capture sudden changes or shifts in volatility. Traders should be aware that the indicator may not generate real-time signals and should be used in conjunction with other indicators and analysis tools.
-- False Signals : Like any technical indicator, the Donchian Volatility Indicator - Adaptive Channel Width is not immune to generating false signals. Traders should exercise caution and use additional analysis to confirm the signals generated by the indicator. Considering the broader market context and employing risk management techniques can help mitigate the impact of false signals.
-- Market Conditions : Market conditions can vary, and volatility levels can differ across different assets and timeframes. Traders should adapt their strategies and consider other market factors when interpreting the signals provided by the indicator. It is crucial to avoid relying solely on the indicator and to incorporate a comprehensive analysis of the market environment.
In conclusion, this indicator is a powerful tool for assessing market volatility. By examining the width of the Donchian channels and comparing it to the signal line, traders can gain insights into the level of volatility and adjust their trading strategies accordingly. The color-coded representation of the channel width and signal line allows for easy visualization and interpretation of the volatility dynamics. Traders should utilize this indicator as part of a broader trading approach, incorporating other technical analysis tools and considering market conditions for a comprehensive assessment of market volatility.
RAM StrategyThe name RAM originated because of three popular technical indicators Relative Strength Index (RSI), Average True Range (ATR), and Moving average convergence/divergence were used all together to create three conditions individually first and once all three conditions meet at once then we considered a potential opportunity either for buy or sell and produce signals. Before we dive into how the strategy work let's clarify all the 3 indicators which has been used.
RSI (Relative Strength Index):
The RSI is a popular indicator used to assess the overbought and oversold conditions of a financial instrument. It measures the speed and change of price movements.
Overbought Level: The RSI Overbought Level is set to 65, indicating that when the RSI goes above this level, it suggests that the instrument may be overbought or overvalued.
Oversold Level: The RSI Oversold Level is set to 35, indicating that when the RSI goes below this level, it suggests that the instrument may be oversold or undervalued.
ATR (Average True Range):
The ATR is a volatility indicator that measures the average range between the high and low prices of a financial instrument. It provides insight into market volatility. There is an ATR calculation and ATR Simple Moving Average calculation done in the script which provides insights into market volatility. By comparing the current ATR value to its SMA, this indicator takes into consideration the volatility conditions while generating trading signals, aiming to capture potential price movements during periods of increased volatility.
MACD (Moving Average Convergence Divergence):
The MACD is a trend-following momentum indicator that helps identify potential trend reversals. It consists of two lines: the MACD Line and the Signal Line.
MACD Line: The MACD Line represents the difference between the short-term and long-term moving averages. Crossovers of the MACD Line above the Signal Line indicate potential buying opportunities.
Signal Line: The Signal Line is a moving average of the MACD Line. Crossovers of the MACD Line below the Signal Line indicate potential selling opportunities and crossovers of the MACD line above the signal line indicate potential buying opportunities.
Trading Strategy:
Buy Signal: A buy signal is generated when the RSI is below the oversold level, the ATR is higher than its Simple Moving Average (indicating higher volatility), and there is a bullish crossover of the MACD Line above the Signal Line.
Sell Signal: A sell signal is generated when the RSI is above the overbought level, the ATR is higher than its Simple Moving Average (indicating higher volatility), and there is a bearish crossover of the MACD Line below the Signal Line.
The plot shapes function is used to visually represent the buy and sell signals on the price chart. Green "BUY" labels are displayed below the price bars for buy signals, while red "SELL" labels are displayed above the price bars for sell signals.
This strategy aims to identify potential buying and selling opportunities based on the combination of RSI, ATR, and MACD indicators. However, please note that the effectiveness and profitability of the strategy may vary depending on market conditions and individual trading preferences.
*Disclaimer*
Trading involves risk. Also, clarify that past performance is not indicative of future results and that individuals should only trade with the capital they can afford to lose.
