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.
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Kernel Regression ToolkitThis toolkit provides filters and extra functionality for non-repainting Nadaraya-Watson estimator implementations made by @jdehorty. For the sake of ease I have nicknamed it "kreg". Filters include a smoothing formula and zero lag formula. The purpose of this script is to help traders test, experiment and develop different regression lines. Regression lines are best used as trend lines and can be an invaluable asset for quickly locating first pullbacks and breaks of trends.
Other features include two J lines and a blend line. J lines are featured in tools like Stochastic KDJ. The formula uses the distance between K and D lines to make the J line. The blend line adds the ability to blend two lines together. This can be useful for several tasks including finding a center/median line between two lines or for blending in the characteristics of a different line. Default is set to 50 which is a 50% blend of the two lines. This can be increased and decreased to taste. This tool can be overlaid on the chart or on top of another indicator if you set the source. It can even be moved into its own window to create a unique oscillator based on whatever sources you feed it.
Below are the standard settings for the kernel estimation as documented by @jdehorty:
Lookback Window: The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars. Recommended range: 3-50
Weighting: Relative weighting of time frames. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel. Recommended range: 0.25-25
Level: Bar index on which to start regression. Controls how tightly fit the kernel estimate is to the data. Smaller values are a tighter fit. Larger values are a looser fit. Recommended range: 2-25
Lag: Lag for crossover detection. Lower values result in earlier crossovers. Recommended range: 1-2
For more information on this technique refer to to the original open source indicator by @jdehorty located here:
Inside Bars (Multiple / Consecutive)Description
When an inside bar is found, the indicator remembers the high and low (= range) of the candle before the inside bar.
As long as price moves within the range, every bar is highlighted as an inside bar to the range.
Purpose
The indicator can assist when identifying valid pullbacks and buy-side liquidity (BSL) / sell-side liquidity (SSL).
ATR CandlesAverage true range (ATR) is a market volatility indicator used to show the average range prices swing over a specified period.
The ATR Candles indicator has two primary functions. First, it measures a short-term ATR against a longer-term ATR to show if volatility is contracting or expanding.
Secondly, this indicator goes a step further by highlighting individual candles that exceed or fall below user selected ATR thresholds.
Moments of volatility contraction often lead to expansion and vice versa. By using the ATR Candles traders can identify potential imminent breakouts/breakdowns or healthy pullbacks vs a volatile correction.
Indicator Features
Selectable ATR lengths
Selectable threshold limits (1 contraction / 2 expansion)
Calculate current candles range from open / previous close / daily range
Custom colors
Show or hide every element
Trend Bands [starlord_xrp]This indicator uses multiple trendlines to determine the overall trend and trend changes. It also highlights areas of potential pullbacks to entry.
JS-TechTrading: VWAP Momentum_Pullback StrategyGeneral Description and Unique Features of this Script
Introducing the VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available on TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strateg y
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from April 2020 until April 2021 (1 yr)
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The RSI qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
Trend Volume Indicator by [VanHelsing]Trend Volume and Momentum based indicator
How it works:
The principle of the volume zone oscillator was used here,
but instead of closes > closes (price momentum) was used RSI,
if RSI > 50 it is a positive momentum and we get + volume value, otherwise - volume
Instead of ema's here is a Volume-Weighted Average Price (VWAP) which gives us such shape of TVI line that in general less sensitive to the pullbacks inside a trend.
This indicator is good for catching and following trends.
You can use alerts as well for take values of trend (-1,1) from 1-10D timeframes
Here how to read it
Strategy Myth-Busting #7 - MACDBB+SSL+VSF - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our seventh one we are automating is the "Magic MACD Indicator: Crazy Accurate Scalping Trading Strategy ( 74% Win Rate )" strategy from "TradeIQ" who claims to have backtested this manually and achieved 427% profit with a 74% winrate over 100 trades in just a 4 months. I was unable to emulate these results consistently accommodating for slippage and commission but even so the results and especially the high win-rate and low markdown is pretty impressive and quite respectable.
This strategy uses a combination of 3 open-source public indicators:
AK MACD BB v 1.00 by Algokid
SSL Hybrid by Mihkel00
Volume Strength Finder by Saravanan_Ragavan
This is considered a trend following Strategy. AK MACD BB is being used as the primary short term trend direction indicator with an interesting approach of using Bollinger Bands to define an upper and lower range and upon the MACD going above the upper Bollinger Bands, it's indicative of an up trend, where as if the MACD is below the lower Bollinger Band, it's indicative of a down trend. To eliminate false signals, SSL Hyrbid is used as a trend confirmation filter, confirming and eliminating false signals from the MACD BB. It does this by validating the price action is above the the EMA and the SSL is positive that is a confirmation of an uptrend. When the price action is below the EMA and the SSL is negative, that is an confirmation of a downtrend. To avoid taking trades during ranged markets, VSF Buyer's Strength is used so the buyers/sellers strength and must be above 50% or the trade will not be inititiated.
Trading Rules
5 min candles but other lower time frames even below 5m work quite well too.
Best results can be found by tweaking these 2 input parameters:
Number Of bars to look back to ensure MACD isn't above/below Zero Line
Number Of bars back to look for SSL pullback
Long Entry when these conditions are true
AK MACD BB BB issues a new continuation long signal. A new green circle must appear on the indicator and these circles should not be touching across the zero level while they were previously red
SSL Hybrid price action closes above the EMA and the line is blue color and then creates a pullback . The pullback is confirmed when the color changes from blue to gray or from blue to red.
VSF Buyers strength above 50% at the time the MACD indicator issues a new long signal.
Short Entry when these conditions are true
AK MACD BB issues a new continuation short signal. A new red circle must appear on the indicator and these circles should not be touching across the zero level while they were previously green
SSL Hybrid price action closes below the EMA and the line is red color then it has to create a pullback . The pullback is confirmed when the color changes from red to gray or from red to blue.
VSF Sellers strength above 50% at the time the MACD indicator issues a new short signal.
Stop Loss at EMA Line with TP Target 1.5x the risk
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Wick-off Check Moving Average [Misu]█ This Indicator shows a wick-off check pattern applied to a moving average.
This pattern appears when a candle opens below the moving average and closes above it, or when it opens above a moving average and closes below it. This causes a wick to go through the moving average: a wick-off check moving average.
█ Usages:
This indicator detects small pullbacks in a trend. This is mainly used for trading continuation strategies.
It can also be used to validate a resistance or support level .
█ Features:
> Average Wick Validation: You can validate a wick-off check pattern depending on the average wick size. This is configured with parameters "Lenght Avg Wick Validation" and "Factor Wick Validation".
> Trend Validation: A trend is taken into account when detecting a "continuation pattern". A trend is validated if X candles close above (up trend) or under (down trend) the moving average. This "X" is defined by "Length Bar - Trend Validation" parameter.
> Buy and Sell: Labels are showing wick-of check patterns but can be interpreted as a buy & sell signal.
> Multi Moving Average.
> Alerts.
█ Parameters:
Method Multi MA : The method for calculating the moving average.
Multi MA Length : The length used to calculate the moving average.
Length Bar - Trend Validation : Define the number of bar needed to validate a trend. When price is above the MA, trend is up. When price is under MA, trend is down.
Wickoff Mode : Mode used to detect Wickoff check pattern.
> continuation pattern: only shows wick-off check pattern in a confirmed trend.
> no trend in progress: only shows wick-off check pattern in a not confirmed trend.
> both: shows both.
Lenght Avg Wick Validation : Lenght used to calculate the average wick size.
Factor Wick Validation : Factor used to validate the length of a wick when a wick-off check is detected.
Converging Pullbacks and PeaksMulti Timeframe Converging Lines Indicator. Using the highest/lowest Values at 2 different lengths. Convergence created by taking the highest/lowest value and subtracting/adding the # of barssince the highest/lowest bar was set multiplied by the price multiplied by the float. Curves are created from averaging out the emas of the center lines of the extremeties.
Helps show trendlines automatically most of the time but can be tweaked by changing the floats or Fast/Slow lengths to you liking.
Risk Management Strategy TemplateThis strategy is intended to be used as a base template for building new strategies.
It incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Calculated position size based on risk tolerance
Trade exit:
Stop Loss currently configurable ATR multiplier but can be replaced based on strategy
Take Profit calculated from Stop Loss using R:R ratio
Backtesting:
Configurable backtesting range by date
Trade drawings:
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: Price is above EMA line
C2: RSI is crossing out of oversold area
SHORT
C1: Price is below EMA line
C2: RSI is crossing out of overbought area
Trade exit:
Stop Loss: Stop Loss ATR multiplier is hit
Take Profit: R:R multiplier * Stop Loss is hit
The idea is to use RSI to catch pullbacks within the main trend.
Note that this strategy is intended to be a simple base strategy for building upon. It was not designed to be traded in its current form.
Mou Value AreasUse in CORRELATION with KEY AREAS - its only CONFIRMATION tool
May ONLY BUY when its GREEN and ONLY SELL when RED
Helps prevent buying the top and selling the bottom.
Good for showing pullbacks during strong trends.
Flag DetectorThis script attempts to find consolidations or retracements within the context of a previous uptrend - basically looking for flag type patterns. It first measures an initial move (referred to as the flag pole in this script) and then looks for consolidation after that move within a certain range. If the consolidation is within the rage, it plots a dot under the candle to show you the consolidation areas. It's not fool proof, but seems to do a decent job of identifying pullbacks and sideways consolidations reasonably well.
Multi Day vWAP (Customizable) with AverageIntroducing the Multi-Day vWAP indicator that is fully customizable with average indicator option.
High level overview (default settings):
Default is 10 plots with each setting 1 day apart (1-10 day look back)
Labels for each plot are turned on by default (labels will default to your value, more below)
Use Style tab in options to change colors, plot style, and turn on/off individual plots
Average is turned off by default (style panel will show it's on-- go to Inputs panel and select "Show vWAP Average" to turn on)
Best use case is go to Visibility Panel in options and turn off for Days, Weeks, and Months
To turn off all labels at once go to Style tab and unselect "Labels" checkbox
If you want plots to be as small as possible in Inputs panel set the Plot Width to 0 (zero)
Detail Overview
This indicator will plot your custom daily vWAP values.
You can change the lookback period. If you change the lookback period the label will match your custom value.
For instance, if you change vWAP 1 value to "5", the label for this plot will be 5.
Average Notes:
The average will average all the vWAP values by the divisor. The default is to average all values by 10.
The average will always start to plot from the shortest lookback period. It is not possible to have the average plot before that point.
Trading Tips (default settings)
The simple way to use the vWAP is to treat them as magnets.
For intance,
Generally if price is trading below all the vWAP plots the chart is in a momentum short enviroment. All vWAP areas can be used for upside resistance/reaction areas.
If price is trading above the chart is in a momentum long enviroment and pullbacks can to vWAP levels can be looked as areas of support/reaction.
For instance:
Price is above the current day vWAP and looking to test the previous day vWAP value.
As it approaches the 2 value you are expecting this area to be a reaction area (good trade entry area) for a continuation short trade. Possibly to check back into the current day vWAP value.
I should share that this is a simple way to trade with the vWAP (true success with vWAP is understanding that price trades in vWAP channels).
Stacking and Strong Momentum
The other pattern you should look for is stacking.
For instance on this CL chart:
This chart is strong momentum long.
All 10 day vWAP plots are stacked on top of each other.
Previous action tested below all vWAPs. Price traded thru and came back and retested. Finally closing above all and above the vWAP avearge (red).
When the day vWAP was broke the next target you look for is the 2 vWAP. This reaction area held up and momentum long continued and continuing to trade above current day vWAP.
7 Day Rolling Example (Larger Timeframe)
Another great way to use this indicator is to customize the values for rolling 7 days (5 days for cash markets).
To do this set values to: 7, 14, 21, 28, 35, 42, 49, 56, 63, 70
For instance, this BTC chart:
This chart provides a good example of what you'll find when a chart is at a pivot point.
Price is checking in at the average to remain momentum long.
Upside longer term vWAP plots have been tested and had expected reaction.
Price is trading above the shorter term values.
Simple TA here will note if chart continues to trade above and takes out upper vWAPs long momentum is gaining ground.
On the downside if price trades thru the lower vWAP plots you would expect further downside. In this scenario you would be mindful to expect upside tests before (which could be good entry/reaction areas).
NQ example with 7 day values:
Overall chart is momentum short.
7 is above 14, 21
Maybe early sign of bottom.
If price takes out these values and holds above the buyers have quite a few challenges above.
Market PulseBINANCE:BTCUSDT
This is the "Market Pulse" indicator from TOS Indicators.
The scope of this indicator is to identify which one of the four market stages we're in
█ WHAT ARE THE 4 STAGES?
ACCELERATION (or uptrend)
DECELERATION (or downtrend)
ACCUMULATION (occurs after the market has presumably found a bottom and buyers are coming in)
DISTRIBUTION (occurs after the market has presumably found a top and sellers are coming in)
█ WHAT ARE THE TOOLS THAT IT USES TO IDENTIFY THEM?
3 VWMA (Volume Weighted Moving Average)
1 VMA (Variable Moving Average)
VWMA = is a moving average which takes volume into account, and gives closes with higher volume an higher weight
vwma(src, len) => ta.sma(src * volume, len) / ta.sma(volume, len)
VMA = is a moving average which automatically adjusts the smoothing constant using Market Volatility
vma(src, len) =>
vi = ta.cmo(src, len) / 100
alpha = 2 / (len + 1) * math.abs(vi)
vma = 0.0
vma := alpha * src + nz(vma ) * (1 - alpha)
█ HOW CAN I INTERPRET THE INDICATOR?
1) On the top right you can see a box which tells you the Market Stage of the chart you are currently using:
If VWMA8 > VWMA21 > VWMA34 it signals ACCELERATION, color coded in green
If VWMA8 < VWMA21 < VWMA34 it signals DECELERATION, color coded in red
If neither of the previous two conditions are met it signals ACCUMULATION (yellow) if price closes above the VMA and DISTRIBUTION (orange) if price closes below the VMA
2) Next you have the actual VMA which is the line plotted on the chart and color coded in green, red or gray accordingly to the Market Stage with a filter applied:
for a bullish signal (green label) the market needs to be in ACCELERATION and price must be above the VMA
for a bearish signal (red label) the market needs to be in DECELERATION and price must be below the VMA
This characteristic makes it sometimes slower at giving direction indications, but also makes it more suitable to be considered as actual signals for buying and selling
ACCUMULATION and DISTRIBUTION are both rapresented with color gray, if you want you can consider:
the line going from green to gray as ACCUMULATION, your bias is bullish until the line turns red
the line going from red to gray as DISTRIBUTION, your bias is bearish until the line turns green
3) Then you can choose to plot the 3 VWMA to indentify pullbacks and entries for your trades
4) Finally you have the Market Screener, which you can choose to plot and gives a fast look to the markets you are interested on
It basically gives you the Market Stage for every Symbol you choose using the timeframes you input
The maximum number of Symbols you can set is 20, and for all of them you have 2 different timeframes you can choose to analyse.
By default the Symbols are set to the top 20 Cryptocurrency by Market Cap, and the timeframes to 4h and D
There is an option which is on by default and color codes ACCUMULATION and DISTRIBUTION the same as the box on the top right, you can turn it off to make them gray
As I've written in the tooltip inside the indicator you should only use the screener to analyse timeframes which are equal or higher than the one you are currently on your chart.
If you don't plan to use the screener you can delete every symbol from the input boxes to make the indicator update faster when changing timeframe or market.
Be aware that the screener is on BETA and may give repainting signals!
Price Adjusted ADX Trend IdentifierUsed to identify trend by applying advance decline formula directly to price action. The result is smoothed activity that incorporates trend strength so that minor pullbacks and consolidation that result from large moves do not cloud the overall trend of the chart. Also sideways action will identify the end of a trend sooner by incorporating the shrinking advance decline activity into price action.
The value is less important than the trend identification against the shown imbedded Bollinger band.
The script allows for advance decline length to be adjusted. Set at 2. Longer will be less reactive shorter will be more reactive.
I have not traded this indicator but it may be useful in identifying smoother trends. Possibly using the cross of the ADX line against the Bollinger upper/lower/mid lines.
Enjoy.
Distance Oscillator - Support and Resistance by DGT
Prices high above the Moving Average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in the article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
This study is the third variant that aims to present this idea, and the output of the study is presented as lines that serve as possible support and resistance levels in the future.
1st variant of the idea is presented as an centered oscillator, link to Price Distance to its MA Study , within its description you may find more about the idea and some statistical observations. Also some derivatives with MACD-X, More Than MACD and P-MACD
2nd variant of the idea are presented as colored triangle line (Volatility Colored Price/MA Line), using the same calculation methods and presented in the bottom of price chart.
Link to studies where it is included : Colored Directional Movement and Bollinger Band's Cloud , SuperTrendRange and Pivot Points vX
3rd variant (this study) as stated earlier aims to present the same idea as support and resistance levels.
Options
The users can adjust source and length of the moving average that is used as base for the distance oscillator
Signal triggering options includes length for the deviation bands, multiplier as well as smoothing of the oscillator
Line customization settings
Additionally an alert can be configured to be warned earlier to watch out for probable pullbacks or reversals
Technical details for whom interested
Calculating the price distance to the MA results in a centered oscillator lets call it Distance Oscillator (quite similar to the RSI), as shown in the blow chart
Unlike RSI, oscillations with the distance oscillator are not limited within a specific range, hence identifying overbought and oversold is not as straight forward as it is with RSI. To determine overbought and oversold levels, standard deviation of distance oscillator is calculated and bands generated with the same approach applied with Bollinger Bands.
Once we have the threshold bands then crossing those bands we may assume as important levels and draw a line, if oscillator values keeps above the threshold bands (deviation bands) the logic behind the code will update the line drawing accordingly.
To reduce noise a smoothing can be applied
Alerts :
Please note that the implementation applied here can be applied to any oscillator such as RSI, Stochastic, MFI etc even Volume (if bear candle volumes are multiplied by -1)
Disclaimer :
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Ehlers Distance Coefficient Filter [CC]The Distance Coefficient Filter was created by John Ehlers and this is one of his more unknown moving averages. It works well because in an uptrend or downtrend it behaves more like a trailing stop system but it also deals with issues like pullbacks pretty quickly. I think it works well with the default values but let me know if you find a more profitable system. Buy when the indicator turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Static RetracementShows possible pullbacks for 3, 8 and 13% from highest point from last X number of days.
EMA RainbowBased on Ripsters EMA clouds, this :
adds an 6 section EMA rainbow to act as DYNAMIC support and resistance levels, that you never have to set manually
splits the 5-12 cloud into 2 parts, as opposed to using a 8-9 centerline. More visually pleasing and intuitive to use
When 300 cloud and 25 cloud are both bullish or bearish - look to take positions in that direction
Use 5 cloud to find pullbacks for entry points
When cloud is moving away (diverging) from other clouds - momentum is increasing
When cloud is increasing in diameter (expanding) - momentum is increasing
When cloud is moving towards other clouds (converging) - momentum is increasing
When cloud is decreasing in diameter (contracting) - momentum is increasing
[SK] RSI/CCI Correlating OscillatorThe combination of RSI and CCI can be a powerful tool to efficiently signal the strength of the trend and upcoming reversals.
The magic comes when you're able to correlate both indicators correctly, this is the power I give you with the RSCCIO.
I've added additional features to each indicator that make signals more clear and easier to identify.
On the RSI
Directional color coding similar to what you can find on a MACD. This helps to identify the general trend ( above or below midline ) and the of the movement within.
For precise correlation the RSI is adjusted to a midline of 0. You can still enter the overbought/oversold levels as you'd expect on a regular RSI and it will be automatically adjusted.
On the CCI
Extreme strength / weakness color coding when the value exceeds the range makes signals more clear.
For precise correlation with the RSI, we need to scale down the value of the CCI with the Sensitivity Input. The default value works overall but feel free to play around to adjust the scale of the CCI movement.
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RSI Relative Strength Index
The RSI is a momentum indicator that measures the magnitude of recent price changes. An asset is usually considered overbought when the RSI is above 70% and oversold when it is below 30%.
CCI Commodity Channel Index
The CCI was originally developed to spot trend changes. Use the CCI on the longer-term chart to establish the dominant trend and on the shorter-term chart to isolate pullbacks and generate trade signals.
EMA TrendThe purpose of this script is to identify price trends based on EMAs. The relative position of price to specific EMAs and the position of certain EMAs towards each other are used to determine the trend direction. The script is intended for investors as a tool to define a basis for further evaluation. I do not use the script as a signal generator and would not recommend doing so without the help of additional indicators.
How to work with the script
The major (or long term) trend direction is determined by the 144 EMA much in the same way as the 200 MA is used in other systems. If the price is above the 144 EMA we are in a long term uptrend, below we are in a long term downtrend. This is to be taken with a grain of salt though. The 144 EMA is considerably shorter than the 200 SMA and is more prone to the price fluctuating around it during periods without a strong long term trend. I recommend using this as a confirmation for the short term trend.
The short term trend is derived from the position and slope of the price, the 21 EMA and the 55 EMA. If the price is above the 21 EMA, the 21 above the 55 EMA, both EMAs are sloping upwards and the distance between the two is increasing, we are talking about an uptrend (and vice versa for a downtrend). This is visualized by the color of the fill between the 144 EMA and close price. Green for uptrend, red for downtrend and no color for an undetermined trend.
The EMAs used are: 21 , 34 , 55 , 89 , 144 , 233 . Most of the EMAs are at 50 transparency to appear less dominant. For orientation, the 144 EMA is bright green to indicate its general importance for the trend determination, and the 55 EMAs is not transparent mainly to be able to identify positioning when the EMAs are close together.
Base time frame EMA
The 144 EMA is plotted twice where one is fixed to the daily time frame (can be configured) to be able to have the 144 on different timeframes during analysis. I find this very useful to keep the focus on my main time frame while analyzing trend on lower or higher time frames. This can also be turned off.
Configurability
This script is less configurable than I generally like with my other scripts. The reason is that the title attribute of the plots is not dynamic, and I use the data window often to get exact values from the script to determine buy targets for pullbacks and other things. Hence, I prefer not to have random names (or no names) in there to save mental capacity. If this ever becomes available, I'll gladly add this to this script. Till then, I encourage you to take the script and adjust it to your own needs. It should be simple enough even if you are just starting out in pine.
MJ ECT== One Line Introduction ==
ECT is a multi-level, trend focused technical indicator based on a three-step hierarchical approach - comprising the tide, wave, and ripple - to trend identification.
== Indicator Philosophy ==
The author believes that market trends can be understood in a three-step hierarchy, with tide at the top, wave in the middle, and ripple at the bottom, corresponding to long-, middle-, and short-term momentum in the stock price. This indicator therefore comprises three technical indicators which aims to reflect the abovementioned features of a trend. These three components are True Strength Index (TSI), Exponential Moving Averages ( EMA ), and Commodity Channel Index ( CCI ).
== Indicator Components and Breakdown ==
True Strength Index (TSI) -> Tide
A 20-period TSI is used to visualize the bullish or bearish sentiment surrounding the stock. Crossovers above the zero line are interpreted as bullish while crossovers below the zero line are interpreted as bearish . This is painted into the background where green represents bullish and red represents bearish . While the background is red ( bearish ), no bullish positions should be taken. Hence, the TSI painted background acts as a directional bias filter and going against the bias is not recommended. After understanding the directional bias, the user can delve further into the areas of value for the stock in the Wave.
Exponential Moving Averages ( EMA ) -> Wave
Four EMA are used (20, 50, 100, 200) to identify the dynamic support and resistance waves in a trending market. Stock price pullbacks into any of these EMA represent areas of value where the user can consider taking positions. The correct EMA to use depends on individual stock's behavior, with multiple bounces on a specified EMA being the priority. After understanding which wave best reflects the area of value of a stock, the user can move on to the Ripple to time their entries.
Commodity Channel Index ( CCI ) -> Ripple
A 5-period CCI is used to identify short-term oversold conditions where prices are on discount. Discount is defined by the 5-period CCI crossing below -100 as it reflects a weekly oversold condition. The indicator will display a small triangle below the candle when this condition is met.
== Ready To Deploy Field Manual ==
When background is painted red, do nothing.
When background is painted green, begin thinking of bullish opportunities.
Look for the specific EMA that has the most bounces of stock price in recent months, this is the area of value to look for buying opportunity.
For the candles that intersect the EMA you identified above, watch for the appearance of a small triangle below the candle that tells you the entry timing.
When the entry timing signal triangle appears, remember the High of that candle and buy your position when the subsequent candle breaks above this High.
If the High is not broken above in the next immediate candle, remember the newer High of the newer candle (basically follow / trail the latest High until a break above is hit).
If the background turns from green to red, stop following the High and do not enter because the market sentiment has changed to bearish .
If you are holding an existing position and the background turns red, consider exiting the position. You may consider remembering the Low of the candle and exit your position if this Low is broken below on a subsequent candle.
== Best Wishes ==
The author wishes the best success for all users of this technical indicator.
