VWAP Trendfollow Strategy [wbburgin]This is an experimental strategy that enters long when the instrument crosses over the upper standard deviation band of a VWAP and enters short when the instrument crosses below the bottom standard deviation band of the VWAP. I have added a trend filter as well, which stops entries that are opposite to the current trend of the VWAP. The trend filter will reduce total false breakouts, thus improving the % profitable while maintaining the overall returns of the strategy. Because this is a trend-following breakout strategy, the % profitable will typically be low but the average % return will be higher. As a rule, be sure to look at the average winning trade % compared to the average losing trade %, and compare that to the % profitable to judge the effectiveness of a strategy. Factor in fees and slippage as well.
This strategy appears to work better with the lower timeframes, and I was impressed with its results. It also appears to work on a wide range of asset classes. There isn't a stop loss or take profit built-in (other than the reversal signals, which close the current trade), so I would encourage you to expand on the strategy based on your own trading parameters.
You can toggle off the bar colors and the trend filter if you so desire.
Future updates to this script (or ideas of improving on it) might include a take profit level set at one standard deviation past the current level and a stop loss level set at one standard deviation closer to the vwap from the current level - or applying a multiple to the two based off of your reward/risk ratio.
About the strategy results below: this is with commissions of 0.5 % per trade.
Volumeanalysis
Volume-Weighted RSI with Adaptive SmoothingThis indicator is designed to provide traders with insights into the relative strength of a security by incorporating volume-weighted elements, effectively combining the concepts of Relative Strength Index (RSI) and volume-weighted averages to generate meaningful trading signals.
The indicator calculates the traditional RSI, which measures the speed and change of price movements, as well as the volume-weighted RSI, which considers the influence of trading volume on price action. It then applies adaptive smoothing to the volume-weighted RSI, allowing for customization of the smoothing process. The resulting smoothed volume-weighted RSI is plotted alongside the original RSI, providing traders with a comprehensive view of the price strength dynamics.
The line coloration in this indicator is designed to provide visual cues about the relationship between the RSI and the volume-weighted RSI. When the RSI line is above or equal to the volume-weighted RSI line, it suggests a potentially bullish condition with positive market momentum. In such cases, the line is colored lime. Conversely, when the RSI line (fuchsia) is below the volume-weighted RSI line, it indicates a potentially bearish condition with negative market momentum. The line color is set to fuchsia. By observing the line color, traders can quickly assess the relative strength between the RSI and the volume-weighted RSI, aiding their decision-making process.
The bar color and background color further enhance the visual interpretation of the indicator. The bar color reflects the RSI's relationship with the volume-weighted RSI and the predefined thresholds. If the RSI line is above both the volume-weighted RSI line and the overbought threshold (70), the bar color is set to lime, indicating a potentially overbought condition. Conversely, if the RSI line is below both the volume-weighted RSI line and the oversold threshold (30), the bar color is set to fuchsia, suggesting a potentially oversold condition. When the RSI line is between these two thresholds, the bar color is set to yellow, indicating a neutral or intermediate state. The background color, displayed with a semi-transparent shade, provides additional context by reflecting the prevailing market conditions. It turns lime if the volume-weighted RSI is above the overbought threshold, fuchsia if below the oversold threshold, and yellow if it falls between these two thresholds. This coloration scheme aids traders in quickly assessing market conditions and potential trading opportunities.
Calculations:
-- RSI Calculation : The traditional RSI is calculated based on the price movements of the asset. The up and down movements are determined, and exponential moving averages are used to smooth the values. The RSI value ranges from 0 to 100, with levels above 70 indicating overbought conditions and levels below 30 indicating oversold conditions.
-- Volume-Weighted RSI Calculation : The volume-weighted RSI incorporates the trading volume of the asset into the calculations. The closing price is multiplied by the corresponding volume, and the average is taken over a specific length. The up and down movements are smoothed using exponential moving averages to generate the volume-weighted RSI value.
-- Adaptive Smoothing : The indicator offers an adaptive smoothing option, allowing traders to customize the smoothing process of the volume-weighted RSI. By adjusting the smoothing length, traders can fine-tune the responsiveness of the indicator to changes in market conditions. Smoothing helps reduce noise and enhances the clarity of the signals.
Interpretation:
The indicator provides two main components for interpretation:
-- RSI : The traditional RSI reflects the price momentum and potential overbought or oversold conditions. Traders can look for RSI values above 70 as potential overbought signals, suggesting a possible price reversal or correction. Conversely, RSI values below 30 indicate potential oversold signals, indicating a potential price rebound or rally.
-- Volume-Weighted RSI : The volume-weighted RSI incorporates trading volume, which provides insights into the strength of price movements. When the volume-weighted RSI is above the traditional RSI, it suggests that the buying pressure supported by higher volume is stronger, potentially indicating a more reliable trend. Conversely, when the volume-weighted RSI is below the traditional RSI, it suggests that the selling pressure supported by higher volume is stronger, potentially indicating a more significant price reversal.
Potential Strategies:
-- Overbought and Oversold Signals : Traders can utilize the RSI component of the indicator to identify overbought and oversold conditions. A potential strategy is to consider taking short positions when the RSI is above 70 and long positions when the RSI is below 30. These levels can act as dynamic support and resistance areas, indicating possible price reversals.
-- Confirmation with Volume : Traders can use the volume-weighted RSI as a confirmation tool to validate price movements. When the volume-weighted RSI is above the traditional RSI, it may provide additional confirmation for long positions, suggesting stronger buying pressure. Conversely, when the volume-weighted RSI is below the traditional RSI, it may provide confirmation for short positions, indicating stronger selling pressure.
-- Trend Reversal Strategy : Watch for the volume-weighted RSI to reach extreme levels above 70 (overbought) or below 30 (oversold). Look for a reversal signal where the RSI line (green or fuchsia) crosses below or above the volume-weighted RSI line. Enter a trade when the reversal signal occurs, and the RSI line changes color. Exit the trade when the RSI line crosses back in the opposite direction or reaches the opposite extreme level.
-- Divergence Strategy : Compare the direction of the RSI line (green or fuchsia) with the volume-weighted RSI line. A bullish divergence occurs when the RSI line makes higher lows while the volume-weighted RSI line makes lower lows. A bearish divergence occurs when the RSI line makes lower highs while the volume-weighted RSI line makes higher highs. Once a divergence is identified, wait for the RSI line to cross above or below the volume-weighted RSI line as confirmation of a potential trend reversal. Consider using additional indicators or price action analysis to time the entry more accurately. Use stop-loss orders and profit targets to manage risk and secure profits.
-- Trend Continuation Strategy : Assess the overall trend direction by observing the RSI line's position relative to the volume-weighted RSI line. When the RSI line consistently stays above the volume-weighted RSI line, it indicates a bullish trend, while the opposite suggests a bearish trend. Look for temporary pullbacks within the ongoing trend where the RSI line (green or fuchsia) touches or crosses the volume-weighted RSI line. Enter trades in the direction of the dominant trend when the RSI line crosses back in the trend direction. Exit the trade when the RSI line starts to deviate significantly from the volume-weighted RSI line or when the trend shows signs of weakening through other technical or fundamental factors.
Limitations:
-- False Signals : Like any indicator, the "Volume-Weighted RSI with Adaptive Smoothing" may produce false signals, especially during periods of low liquidity or choppy market conditions. Traders should exercise caution and consider using additional confirmation indicators or tools to validate the signals generated by this indicator.
-- Lagging Nature : The indicator relies on historical price data and volume to calculate the RSI and volume-weighted RSI. As a result, the signals provided may have a certain degree of lag compared to real-time price action. Traders should be aware of this inherent lag and consider combining the indicator with other timely indicators to enhance the accuracy of their trading decisions.
-- Parameter Sensitivity : The indicator's effectiveness can be influenced by the choice of parameters, such as the length of the RSI, smoothing length, and adaptive smoothing option. Different market conditions may require adjustments to these parameters to optimize performance. Traders are encouraged to conduct thorough testing and analysis to determine the most suitable parameter values for their specific trading strategies and preferences.
-- Market Conditions : The indicator's performance may vary depending on the prevailing market conditions. It is essential to understand that no indicator can guarantee accurate predictions or consistently profitable trades. Traders should consider the broader market context, fundamental factors, and other technical indicators to complement the insights provided by the "Volume-Weighted RSI with Adaptive Smoothing" indicator.
-- Subjectivity : Interpretation of the indicator's signals involves subjective judgment. Traders may have varying interpretations of overbought and oversold levels, as well as the significance of the volume-weighted RSI in relation to the traditional RSI. It is crucial to combine the indicator with personal analysis and trading experience to make informed trading decisions.
Remember, no single indicator can provide foolproof trading signals. The "Volume-Weighted RSI with Adaptive Smoothing" indicator serves as a valuable tool for analyzing price strength and volume dynamics. It can assist traders in identifying potential entry and exit points, validating trends, and managing risk. However, it should be used as part of a comprehensive trading strategy that considers multiple factors and indicators to increase the likelihood of successful trades.
High Liquidity Zones and Threshold VolumeThe High Liquidity Zones indicator is designed to identify areas of significant liquidity in the market. It helps traders recognize regions where trading volume is notably higher, indicating potential areas of increased market activity and interest.
The indicator calculates the average volume over a specified lookback period, which can be customized according to individual preferences. This average volume acts as a reference point to determine the threshold volume level. The threshold percentage input allows users to set the sensitivity of the indicator, defining the minimum volume required for an area to be considered a high liquidity zone.
When the current volume surpasses the threshold volume level, the indicator highlights these areas as high liquidity zones. This visual representation allows traders to quickly identify and focus on periods of heightened trading activity. The high liquidity zones are marked with square shapes below the histogram, providing a clear visual indication on the chart.
The first plot line represents the threshold volume level as a histogram, showing the volume levels in relation to the threshold. This histogram helps traders assess the magnitude of the volume in the identified high liquidity zones.
The second plot line represents the threshold volume's simple moving average (SMA) over the lookback period. The SMA acts as a reference line, smoothing out fluctuations in the threshold volume and providing a more stable measure of high liquidity zones. Traders can use this line to better understand the overall trend and dynamics of liquidity.
The High Liquidity Zones indicator offers flexibility, allowing traders to adapt it to their preferred trading style and timeframe. By adjusting the lookback period and threshold percentage, users can fine-tune the sensitivity of the indicator based on their trading strategies and market conditions.
Furthermore, traders can combine the High Liquidity Zones indicator with other technical analysis tools to confirm trading signals or identify areas of potential support and resistance. It can help them locate price levels where market participants have a substantial presence and where significant buying or selling pressure may occur.
Overall, the High Liquidity Zones indicator is a valuable tool for traders seeking to gain insights into market liquidity dynamics. By highlighting areas of intense trading activity, it assists in making informed trading decisions and identifying opportunities within the market.
Normalized Elastic Volume Oscillator (MTF)The Multi-Timeframe Normalized Elastic Volume Oscillator combines volume analysis with multiple timeframe analysis. It provides traders with valuable insights into volume dynamics across different timeframes, helping to identify trends, potential reversals, and overbought/oversold conditions.
When using the Multi-Timeframe Normalized Elastic Volume Oscillator, consider the following guidelines:
Understanding Input Parameters : The indicator offers customizable input parameters to suit your trading preferences. You can adjust the EMA length (emaLength), scaling factor (scalingFactor), volume weighting option (volumeWeighting), and select a higher timeframe for analysis (higherTF). Experiment with these parameters to optimize the indicator for your trading strategy.
Multiple Timeframe Analysis : The Multi-Timeframe Normalized Elastic Volume Oscillator allows you to analyze volume dynamics on both the current timeframe and a higher timeframe. By comparing volume behavior across different timeframes, you gain a broader perspective on market trends and the strength of volume deviations. The higher timeframe analysis provides additional confirmation and helps identify more significant market shifts.
Normalized Values : The indicator normalizes the volume deviations on both timeframes to a consistent scale between -0.25 and 0.75. This normalization makes it easier to compare and interpret the oscillator's readings across different assets and timeframes. Positive values indicate bullish volume behavior, while negative values suggest bearish volume behavior.
Interpreting the Indicator : Pay attention to the position of the Multi-Timeframe Normalized Elastic Volume Oscillator lines relative to the zero line on both timeframes. Positive values on either timeframe indicate a bullish bias, while negative values suggest a bearish bias. The distance of the oscillator from the zero line reflects the strength of the volume deviation. Extreme readings, both positive and negative, may indicate overbought or oversold conditions, potentially signaling a trend reversal or exhaustion.
Combining with Other Indicators : For more robust trading decisions, consider combining the Multi-Timeframe Normalized Elastic Volume Oscillator with other technical analysis tools. This could include trend indicators, support/resistance levels, or candlestick patterns. By incorporating multiple indicators, you gain additional confirmation and increase the reliability of your trading signals.
Remember that the Multi-Timeframe Normalized Elastic Volume Oscillator is a valuable tool, but it should not be used in isolation. Consider other factors such as price action, market context, and fundamental analysis to make well-informed trading decisions. Additionally, practice proper risk management and exercise caution when executing trades.
By utilizing the Multi-Timeframe Normalized Elastic Volume Oscillator, you gain a comprehensive view of volume dynamics across different timeframes. This knowledge can help you identify potential market trends, confirm trading signals, and improve the timing of your trades.
Take time to familiarize yourself with the indicator and conduct thorough testing on historical data. This will help you gain confidence in its effectiveness and align it with your trading strategy. With experience and continuous evaluation, you can harness the power of the Multi-Timeframe Normalized Elastic Volume Oscillator to make informed trading decisions.
Volume Breakout by Chosen VolumeDescription:
The Volume Breakout indicator (VB) is a technical analysis tool that highlights candles with significant trading volume. It helps traders identify potential breakout periods characterized by high volume activity.
How it Works:
The Volume Breakout indicator compares the volume of each candle with a user-defined minimum volume threshold. If the volume of a candle exceeds or is equal to the specified minimum volume requirement, the indicator identifies it as a volume breakout and marks it accordingly.
Usage:
To effectively utilize the Volume Breakout indicator, follow these steps:
1. Apply the VB indicator to your chart by adding it from the available indicators.
2. Customize the minimum required volume parameter according to your trading preferences. This parameter determines the threshold volume level that a candle must meet or exceed to be considered a breakout candidate.
3. Observe the candles on the chart:
- Candles that meet or exceed the minimum required volume are highlighted with a specific color (yellow by default), indicating potential breakout periods.
4. Pay attention to the volume breakout indications within the candles, as they suggest periods of increased trading activity.
5. Analyze the price action accompanying the volume breakout candles. Breakouts often indicate a surge in buying or selling pressure, potentially leading to significant price moves or trend reversals.
6. Combine the analysis of volume breakout candles with other technical analysis tools, such as trend lines, support and resistance levels, or indicators, to confirm potential trade setups.
7. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
High Volume Candles by Time PeriodDescription:
The High Volume Candles indicator (HVC) is a technical analysis tool designed to identify candles with high trading volume. It allows traders to quickly spot periods of significant market activity based on volume.
How it Works:
The HVC indicator analyzes the volume of each candle in relation to the highest volume observed over a specified lookback period. The indicator compares the current volume with the highest volume within the defined lookback period and identifies candles that have volume equal to or greater than this threshold. It then distinguishes between bullish and bearish candles and assigns custom colors to highlight these high volume occurrences.
Usage:
To effectively utilize the High Volume Candles indicator, follow these steps:
1. Apply the HVC indicator to your chart by adding it from the available indicators.
2. Customize the lookback period according to your trading preferences. This parameter determines the number of previous candles to consider when calculating the highest volume.
3. Observe the candles on the chart:
- Bullish candles (blue by default) indicate periods of high volume when the closing price is higher than the opening price.
- Bearish candles (yellow by default) indicate periods of high volume when the closing price is lower than the opening price.
4. Pay attention to the color-coded volume indications within the candles, which highlight periods of high trading activity.
5. Analyze the volume patterns in conjunction with price action to identify potential trading opportunities. High volume candles often indicate increased market participation and can suggest significant price moves or reversals.
6. Combine the analysis of high volume candles with other technical analysis tools, such as trend lines, support and resistance levels, or indicators, to confirm potential trade setups.
7. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Volume Tick ExperimentThis ticks-based indicator provides real-time volume information for a trading asset. Volume is analyzed and updated continuously, not just at candle close. It is based on DGT's Bull vs Bear Power indicator but adds a gas signal that activates when buying or selling volume percentage reaches a predetermined threshold.
This indicator can also help traders determine the direction and aggressiveness of pushes in buying or selling volume. By monitoring the volume percentages and gas signals, traders can get an idea of whether the market is pushing in a particular direction and how strong the push is. This information can be helpful in making trading decisions and identifying potential entry or exit points.
The indicator uses open, high, low, and close prices of the asset to calculate volume information. It determines the average volume over a selected period and calculates volume for both buying and selling. This information is used to calculate the percentage of buying and selling volume. A gas signal is triggered when either the buying or selling percentage reaches a predetermined threshold.
Enjoy!
Volume Channel - [With Volume Filter]The indicator calculates two volume-weighted moving averages (VWMA) using different lengths, and filters them based on a moving average of volume. The filtered VWMA values are then plotted on the chart as lines, representing the fast and slow moving averages. In addition, upper and lower bands are calculated based on the slow VWMA and plotted as lines on the chart.
The fast and slow VWMA lines can be used to identify trends in the market. When the fast VWMA is above the slow VWMA, it is an indication of an uptrend, and when the fast VWMA is below the slow VWMA, it is an indication of a downtrend. The position of the VWMA lines relative to the upper and lower bands can also be used to identify potential trade signals.
When the price is near the upper band, it indicates that the market is overbought, and when the price is near the lower band, it indicates that the market is oversold. Traders can use these signals to enter or exit trades.
The indicator also includes a volume filter, which means that the VWMA values are only calculated when the volume is above a certain moving average of volume. This helps to filter out noise in the market and provide more accurate signals.
Explanation for each parameter
vwmaLength1: This is the length of the fast volume-weighted moving average (VWMA) used in the calculation. The default value is 10, and it can be adjusted by the user.
vwmaLength2: This is the length of the slow volume-weighted moving average (VWMA) used in the calculation. The default value is 25, and it can be adjusted by the user.
bandLength: This is the length of the moving average used to calculate the upper and lower bands. The default value is 34, and it is not adjustable by the user.
volumeFilterLength: This is the length of the moving average of volume used as a filter for the VWMA calculation. The default value is 5, and it can be adjusted by the user.
src: This is the input source for the VWMA calculation. The default value is close, which means the indicator is using the closing price of each bar. However, the user can select a different input source by changing this parameter.
filteredVwma1: This is the filtered VWMA calculated based on the volume filter and the fast VWMA length. It is plotted as a line on the chart and can be used to identify short-term trends.
filteredVwma2: This is the filtered VWMA calculated based on the volume filter and the slow VWMA length. It is plotted as a line on the chart and can be used to identify long-term trends.
ma: This is the moving average of the filtered slow VWMA values, which is used to calculate the upper and lower bands. It is plotted as a line on the chart.
offs: This is the offset used to calculate the upper and lower bands. It is based on the standard deviation of the filtered slow VWMA values and is multiplied by 1.6185 * 3. It is plotted as a line on the chart.
up: This is the upper band calculated as the moving average plus the offset. It is plotted as a line on the chart and can be used to identify overbought conditions.
dn: This is the lower band calculated as the moving average minus the offset. It is plotted as a line on the chart and can be used to identify oversold conditions.
Volume Shaded CandlesDescription:
The Volume Shaded Candles indicator (VSC) is a technical analysis tool designed to represent price candles on a chart with transparency based on the volume traded during each candle. This overlay indicator enhances visual analysis by providing a visual representation of volume intensity.
How it Works:
The VSC indicator calculates the volume-to-transparency ratio by dividing the current volume by the highest volume within the last 10 periods. The ratio is then used to determine the shading intensity of the price candles. Higher volume relative to the recent highest volume results in lower transparency, while lower volume results in higher transparency.
Usage:
To effectively utilize the Volume Shaded Candles indicator, follow these steps:
1. Apply the Volume Shaded Candles indicator to your chart by adding it from the available indicators.
2. Configure the indicator's inputs:
- Specify the color for bullish candles using the "Bullish Color" input.
- Specify the color for bearish candles using the "Bearish Color" input.
3. Observe the shaded candles on the chart:
- Bullish candles are colored with the specified bullish color and shaded according to the volume intensity.
- Bearish candles are colored with the specified bearish color and shaded according to the volume intensity.
4. Interpret the shaded candles:
- Darker shading indicates higher volume during the corresponding candle.
- Lighter shading indicates lower volume during the corresponding candle.
5. Combine the analysis of shaded candles with other technical analysis tools, such as trend lines, support and resistance levels, or candlestick patterns, to identify potential trade setups.
6. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Vollinger BandsI'm happy to present to you... VOLLINGER BANDS. Loosely based on bollinger bands, this indicator uses the new Up/Down Volume indicator from tradingview, which I have add moving averages, and a width calculation between them to determine squeeze. Essentially I have created a volume squeeze bollinger band derivative, hence the term "Vollinger Band".
The bands are NOT a deviation of any middle line or moving average, but rather their own moving averages of the volume delta, respectively.
Blue background = Volume Squeeze (vollinger bands width is less than the squeeze strength line), meaning consolidation, and a big move may happen soon.
Top line = A moving average of the Up Volume delta
Bottom line = A moving average of the Down Volume delta
Vol MA = the moving average length of both the top/bottom line
> If you zoom in, you can see a white line, which is the squeeze represented as a single line, calculated using bollinger bands width. The squeeze strength is a moving average of the squeeze line, which then determines if the width is below that moving average, then the squeeze will occur (white line below purple)
The bands are colored based on the sum of the Up/Down volume over the specified number of bars (preset at 5). If the volume is more buying than selling over that amount of bars, then the line is colored green, and vice versa.
Display Trade Volume with MA Angle and Price VelocityThis Pine Script indicator is designed to provide traders with a visual representation of trade volume, moving average (MA) angle, and price velocity on a chart. The primary components of this indicator are:
Trade Volume: The indicator compares the current bar's trade volume with the average volume over a user-defined lookback period. The volume is displayed as either "Low" or "Trade" in a table, with red or green background color, respectively, to indicate whether it's below or above the average volume.
MA Angle: The indicator calculates the angle of the moving average (either Simple, Exponential, or Hull) over a user-defined length. A positive angle is shown in green, while a negative angle is shown in red. The angle is displayed in degrees in the table.
Price Velocity: This component calculates the velocity of price movement by comparing the difference between high and low prices over a user-defined lookback period. It then displays the velocity as either "Slow" or "Fast" in the table, with red or green background color, respectively, depending on whether it's below or above the average difference.
The indicator also includes alert conditions for high and low volume situations, notifying the trader when the current bar's volume is significantly higher or lower than the average volume.
ETH Volume*Close Top Exchanges in millions $The script is designed to create a custom indicator that calculates the total volume of Ethereum traded on various exchanges, calculated in millions of dollars, and then plots a histogram of that volume along with a Simple Moving Average (SMA) of the volume.
The script starts by setting some input parameters such as the length of the SMA and the range period. It then requests data on the volume of Ethereum traded on several exchanges such as Binance, Coinbase, Kraken, and others. It calculates the combined total volume across all these exchanges and multiplies it by the close price of Ethereum to get a value in millions of dollars.
The script then checks if the volume is rising while the price is lower than the previous 5 bars high and higher than the previous 5 bars low, and if so, it sets the color of the histogram bars to white. It then plots the histogram bars and the SMA on the chart.
BTC Volume*Close from Top ExchangesThe script is designed to create a custom indicator that calculates the total volume of Bitcoin traded on various exchanges, calculated in millions of dollars, and then plots a histogram of that volume along with a Simple Moving Average (SMA) of the volume.
The script starts by setting some input parameters such as the length of the SMA and the range period. It then requests data on the volume of Bitcoin traded on several exchanges such as Binance, Coinbase, Kraken, and others. It calculates the combined total volume across all these exchanges and multiplies it by the close price of Bitcoin to get a value in millions of dollars.
The script then checks if the volume is rising while the price is lower than the previous 5 bars high and higher than the previous 5 bars low, and if so, it sets the color of the histogram bars to white. It then plots the histogram bars and the SMA on the chart.
ChArt Path"ChArt Path" shows the same datas as the candles, but as a channel, instead of individual candles.
It allows to focus on the direction of the price (instead of wondering the meaning of each candle), which hopefully simplifies the analysis, and reduces the confusion.
Also, it is artistically customizable!
A little time might be necessary to get used to this indicator.
NOTES FOR INSTALLATION:
- Japanese candles might be more expressive than Heiken Ashi, with this indicator.
- Hide the candles in the chart settings (right click on an empty space in the chart, then "Settings", "Symbol", and uncheck "Body", "Borders" and "Wick").
- Add "ChArt Path" to the chart.
- In the indicator's settings, choose the options you prefer. The Advanced setting are tuned by default for dark themes (bgcolor: black/#0a0c12). Feel free to make them your own!
HOW TO READ THE CHART?
- The path is between 2 borders (black by default) that represent the body of the candle (without the wicks).
- The wicks are represented around the path, as a gradient. This makes a price rejection very easy to spot, as a spike for ex.
SETTINGS
The standard settings are simple. You can pick 2 colors (bullish and bearish) for the path. And 1 color for the wicks.
The advanced settings let you customize the wicks' colors and opacity. You can also activate the gradient of volumes inside the path, to indicate the volume behind each candle.
HOW TO USE CHART PATH?
I use it on 2 timeframes (direction/entry), both with FREMA Trend (See below).
When there is a wick spike (price rejection), followed by an arrow signal in FREMA Trend, then there might be an opportunity. I look for confirmations from different origins, like volume, momentum, and cycles.
DO NOT BASE YOUR TRADING DECISIONS ON 1 SINGLE INDICATOR'S SIGNALS.
Always confirm your ideas by other means, like price action and indicators of a different nature.
NOTES ABOUT THE GRADIENT OF VOLUMES:
The more intense is the color, the bigger is the volume.
The unit is a 400 periods moving average of the volumes, considered as 1 volume.
Each color represents half of this volume. For ex: Grays indicate under (or equal) to the 400 MA (low volumes). Bright yellow represents above 7 times the 400 MA (very high volumes).
When there's no available volume datas, the candles turn bright green by default.
Crypto Uptrend Script + Pullback//Volume CandlesDescription: his is an adaption of my Pullback candle - This works on all timeframes and Markets (Forex//Stocks//)
Crypto Uptrend Script with Pullback Candle allows traders to get into a trend when the price is at end of a pullback and entering a balance phase in the market (works on all markets). The use of Moving averages to help identify a Trends and the use of Key levels to help traders be aware of where strong areas are in the market.
This script can work really well in Crypto Bull Runs when used on HTF and with confluences
The script has key support and resistance zones which are made up of quarterly data. Price reacts to these areas but patience is required as price will take time to come into these areas
I have updated the Pullback Candle with the use of Volume to filter out the weak Pullback Candles -
There are new candles to the script.
The First candle is the Bullish Volume Candle - This candle is set to a multiplier of 2x with a crossover of 50/100 on Volume - this then will paint a purple candle.
Uses of the Bullish Volume Candle:
Breakthrough of key areas // special chart patterns
Rejection of key areas
End of a impulse wave (Profit Takers)
The second candle is a Hammer - I prefer using the Hammers on Higher Timeframes however they do work on all timeframes. .
The third candle is a Exhaustion of impulse downward move.
Uses of this candle - can denote a new trend but has to be with confluence to a demand area // support area or with any use of technical analysis - using this alone is not advised
The fourth candle is a indecision candle in the shape of a Doji - this candle can help identify if the trend is in a continuation or a reversal
This script can work really well in Crypto Bull Runs
Disclaimer: There will be Pullbacks with High Volume (Breakouts) and not go the way as intended but this script is to allow traders to get into trends at good price levels. The script can paint signals in areas where price is too expensive so please do your own due diligence on the markets as this script is to help get into good areas of price
Please leave a thumbs up if you like this script and message me for information on how to use the script.
Volume Forecasting [LuxAlgo]The Volume Forecasting indicator provides a forecast of volume by capturing and extrapolating periodic fluctuations. Historical forecasts are also provided to compare the method against volume at time t .
This script will not work on tickers that do not have volume data.
🔶 SETTINGS
Median Memory: Number of days used to compute the median and first/third quartiles.
Forecast Window: Number of bars forecasted in the future.
Auto Forecast Window: Set the forecast window so that the forecast length completes an interval.
🔶 USAGE
The periodic nature of volume on certain securities allows users to more easily forecast using historical volume. The forecast can highlight intervals where volume tends to be more important, that is where most trading activity takes place.
More pronounced periodicity will tend to return more accurate forecasts.
The historical forecast can also highlight intervals where high/low volume is not expected.
The interquartile range is also highlighted, giving an area where we can expect the volume to lie.
🔶 DETAILS
This forecasting method is similar to the time series decomposition method used to obtain the seasonal component.
We first segment the chart over equidistant intervals. Each interval is delimited by a change in the daily timeframe.
To forecast volume at time t+1 we see where the current bar lies in the interval, if the bar is the 78th in interval then the forecast on the next bar is made by taking the median of the 79th bar over N intervals, where N is the median memory.
This method ensures capturing the periodic fluctuation of volume.
Volume DockThis oscillator has two different modes:
The first one called RSIs is a comparison between the Relative strength index of the Accumulation/Distribution (and the On Balance Volume) and the normal price, to analyze the differences in momentum between the price with volume and without.
The second one, called Dock, is similar except for the fact that the lines are smoothed using the hull moving average formula, this mode is great to signal entries and for reversal analyzing.
Weis Wave Volume - Simple labels and comparisonThis script is designed to identify and display the Weis Wave Volume on a chart. The Weis Wave Volume is a volume-based indicator that helps traders analyze market waves, identify trend reversals, and assess the strength of a trend. The script calculates wave volume based on user-defined input parameters, detects price waves, and displays the results as labels on the chart.
This version in particular is based on ideas from @the_MarketWhisperer and some other pieces of the script from @LucF.
The overall functionality of the script is to identify price waves and their corresponding volume. It does this by determining the trend direction and detecting trend reversals based on user-defined inputs such as the Trend reversal length and Price source for trend detection. The script also calculates and displays the cumulative volume of the current wave, the number of bars in the wave, the average volume in the wave, and consecutive increasing average volume bars in the same wave:
- An 'o' is printed to show that the volume of the current wave was 'O'ver/ above the count of the volume from preceding wave (regardless of it being up or down).
- An 'u' is printed to show that the volume of the current wave was 'U'nder/ below the count of the volume from preceding wave (regardless of it being up or down).
- Current wave will be between ' ' signaling that the wave is not confirmed yet.
- Actual values for the wave are available as tooltips. You decide how many bars to show the labels for, but for now and since I am a fan of clean charts, this is set to 50.
The user can adjust various inputs that affect the output of the script, such as Trend reversal length, Price source for trend detection, Labels for X last bars. Adjusting these inputs allows the trader to customize the script's behavior to better suit their trading style or specific market conditions. For example, by increasing the Trend reversal length, the script will require more consecutive bars in the opposite direction to confirm a trend reversal, potentially filtering out shorter-term price fluctuations. Similarly, adjusting the Price source for trend detection allows the user to base trend calculations on different price values, such as the high, low, or close of each bar.
In addition to the customizable inputs, the user can enable or disable the display of pivot markers and choose the colors for the up and down volume labels. This helps the trader to easily visualize and analyze the wave volume information on the chart.
In summary, this script offers traders a powerful tool for visualizing and analyzing the Weis Wave Volume on a chart. By identifying price waves, detecting trend reversals, and providing insights into the strength of a trend based on volume, the script can be a valuable addition to a trader's technical analysis toolbox. Please note this is not meant to provide any buy or sell signals, it should be rather used to complement your existing analysis.
Have fun and trade wisely ;)
Stochastic Momentum Index (SMI) of Money Flow Index (MFI)"He who does not know how to make predictions and makes light of his opponents, underestimating his ability, will certainly be defeated by them."
(Sun Tzu - The Art of War)
▮ Introduction
The Stochastic Momentum Index (SMI) is a technical analysis indicator that uses the difference between the current closing price and the high or low price over a specific time period to measure price momentum.
On the other hand, the Money Flow Index (MFI) is an indicator that uses volume and price to measure buying and selling pressure.
When these two indicators are combined, they can provide a more comprehensive view of price direction and market strength.
▮ Improvements
By combining SMI with MFI, we can gain even more insights into the market. One way to do this is to use the MFI as an input to the SMI, rather than just using price.
This means we are measuring momentum based on buying and selling pressure rather than just price.
Another way to improve this indicator is to adjust the periods to suit your specific trading needs.
▮ What to look
When using the SMI MFI indicator, there are a few things to look out for.
First, look at the SMI signal line.
When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal.
Also, pay attention to divergences between the SMI MFI and the price.
If price is rising but the SMI MFI is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing.
Likewise, if price is falling but the SMI MFI is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing.
In the examples below, I show the use in conjunction with the price SMI, in which the MFI SMI helps to anticipate divergences:
In summary, the SMI MFI is a useful indicator that can provide valuable insights into market direction and price strength.
By adjusting the timeframes and paying attention to divergences and signal line crossovers, traders can use it as part of a broader trading strategy.
However, remember that no indicator is a magic bullet and should always be used in conjunction with other analytics and indicators to make informed trading decisions.
Volume-Weighted Closing Range (TG Fork)Volume-weighted closing range of each bar. Closing range is (high - close) relative to the length of the wick (high - low). A close at the top of the wick would be 100%, middle 50%, bottom 0%. This is then multiplied by volume to weight towards high volume bars.
A moving average is applied to visualize trend in volume-weighted closing range over time.
Options include changing the threshold of bullish closes. The default is 50%, but you can view a close above 40% as a bullish .
How to use:
Columns indicate per-bar closing range, and can be used as either a buying-selling pressure indicator, or as an overreaction detector (eg, bars that are abnormally big can be used to start a fading/contrarian trade next bars). Green means the bar closed in the upper range, red in the lower range.
The cloud is the moving average over several bars (by default using EMA). This tends to represent sentiment over a period of time, and hence trend/momentum. Can be used in any timescale, even on weekly, then this represents the market cycles.
If you like this indicator, please show the original author your appreciation:
Volume+This volume indicator uses a long WMA to establish an average volume and calculates the standard deviation based on that average. Each deviation level from 1 to 3 is also plotted with the bar color gradually increasing in intensity when more than one standard deviation is exceeded.
UB Profit Signal IndicatorThe UB Profit Signal indicator is a technical analysis tool designed to identify potential buy and sell signals in the market. The indicator is based on four technical indicators - Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Bollinger Bands (BB), and volume moving average.
The script starts by defining input variables such as MACD Fast Length, MACD Slow Length, MACD Signal Length, RSI Length, etc. These variables are used to customize the indicator based on the user's preference.
The MACD is calculated using the ta.macd function, which returns three variables: the MACD Line, Signal Line, and Histogram. The MACD line is calculated as the difference between two exponential moving averages of the price. The signal line is a moving average of the MACD line. The histogram shows the difference between the MACD line and the signal line.
The RSI is calculated using the ta.rsi function, which calculates the RSI value based on the number of periods specified in the RSI Length input variable. The RSI is a momentum oscillator that measures the speed and change of price movements.
The Bollinger Bands are calculated using the ta.sma and ta.stdev functions. The Simple Moving Average (SMA) is calculated using the close price over 21 periods, while the Standard Deviation is calculated using the close price over the same 21 periods. The upper and lower bands are then calculated based on the SMA and Standard Deviation.
Finally, the buy and sell signals are generated based on specific conditions that combine the MACD, RSI, and BB values. For example, a buy signal is generated when the RSI value is greater than 30, the volume is greater than the volume moving average, the close price is greater than the 9-period SMA, and the close price is between the upper and lower BBs. Similarly, a sell signal is generated when the RSI value is less than 40, the volume is greater than the volume moving average, the close price is less than the 9-period SMA, and the close price is between the upper and lower BBs.
The buy and sell signals are plotted on the chart using the plotshape function, which creates triangular shapes above and below the bars to indicate the signals. Green triangles indicate a buy signal, while red triangles indicate a sell signal. Overall, the UB Profit Signal indicator can be useful for traders looking to identify potential buy and sell signals in the market and take advantage of price movements.
Weekday Change & Volume Average TableHaving a reference point for comparing with current data has always been an important task in market analysis. This script tried to give a better understanding based on weekdays.
This script shows that in the current ticker, what is the average movement of the price (High-Low) and volume for each weekday. Depending on the market and the exchange it should be different.
The Interesting point is that, for example in BINANCE:BTCUSDT , on Saturday and Sunday, volume is about 30% less and the price movement is about 20% less.
The script can be used on any timeframe and any symbol, just remember that the data shown is based on the candles on the chart, so it is different also based on your tradingview's account since Historical bars available for Basic is 5K, Pro & Pro+ is 10K and Premium is 20K; And in lower timeframes it is calculating more recent data.
