Multi-Day Rolling VWAP [Intraday]Ideas from Brian Shannon's book "Anchored VWAP"
The Multi-Day Rolling VWAP indicator for intraday timeframes allows you to track the Volume Weighted Average Price (VWAP) over multiple days, specifically for 1-day, 2-day, 3-day, 4-day, and 5-day periods. This indicator beyond the standard daily VWAP provides a broader perspective on price trends and market sentiment.
Features:
- Multi-day VWAPs: Analyze VWAP over several days to observe longer-term price movements.
- Customizable display: Choose which VWAP periods to display on the chart
- Colorize: Choose different colors for each VWAP to easily distinguish between periods.
- Adjustable settings: Change the line thickness and select the price source for VWAP calculations.
- Works with Replay Mode
- Works in any intraday timeframe on any asset with volume and price
Benefits:
- Trend identification: Compare current prices with multi-day rolling VWAPs to spot trends.
- Spot reversals: Look for potential price reversals or support when prices cross VWAP lines.
Volume
Up Down Volume Ratio by 3iauThis script considers the total volume within a user specified time frame, and whether price closed higher or lower at the end of each period within that time frame.
EXAMPLE:
* If the time period of interest is 50-periods, the script considers the volume within each of those 50 periods beginning with the most recent closed period.
* SumUpVol = the sum of all volume occurring within only those periods where price closed higher than that of the previous period.
* SumDnVol = the sum of all volume occurring within only those periods where price closed lower than that of the previous period.
* Difference = the difference between SumUpVol and SumDnVol = SumUpVol - SumDnVol
* Total = the sum of SumUpVol and SumDnVol = SumUpVol + SumDnVol
* The plot will present the change in Difference divided by Total = Difference/Total = (SumUpVol - SumDnVol)/(SumUpVol + SumDnVol) occurring within those 50 periods. What will be plotted is the moving average of this value. The user can specify the moving average type and the number of period for which the average is calculated.
* The plot needs to be fitted into a range, for example, +/- 50 (default) or +/-100, by multiplying the result of Difference/Total by a user specified constant. The constant will contain the majority (not all) of the values within +/- the specified value.
* Range = the user specified constant. If Range = 50, the majority of values plotted will be fall within the range +/- 50.
* Therefore, what is plotted is the moving average of Range * Difference / Total.
* When the value = 0, accumulation = distribution over the user specified 50-periods time frame.
* When the value is positive, accumulation > distribution over the user specified 50-periods time frame.
* When the value is negative, distribution > accumulation over the user specified 50-periods time frame.
This plot allows one to see possible accumulation and distribution occurring within a particular stock. The slope of this plot must be considered, and not any single value. The selected constant (“Range” in the example above) does not have an effect on the slope of the plot.
Three values may be plotted at once, for comparison of accumulation or distribution occurring over different time frames. For example, compare Difference / Total calculated over a 50-periods timeframe with 10-periods timeframe, both time frames beginning with the most recent closed period.
In addition to the above, J. Welles Wilder’s Relative Strength Index (RSI) can be plotted over the Difference / Total.
NOTE: this script is not the same as the more commonly used Up/Down Volume Ratio defined as SumUpVol / SumDnVol over a 50-periods time frame, where SumUpVol = the sum of all volume occurring within only those periods where price closed higher than that of the previous period, and SumDnVol = the sum of all volume occurring within only those periods where price closed lower than that of the previous period.
Compare...
Up Down Volume Ratio = SumUpVol / SumDnVol
Up Down Volume Ratio by 3iau = the moving average of Range * (SumUpVol - SumDnVol) / (SumUpVol + SumDnVol)
Kzx | RSI + Div + MACDComponents Description:
Relative Strength Index (RSI):
Purpose: Measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset.
Implementation: The script allows users to set the length of the RSI calculation and defines overbought and oversold levels, which can be visually represented on the chart. Additional features include options to fill and/or color the background of the chart when overbought or oversold levels are reached.
Divergence (Div):
Purpose: Identifies instances where the price of an asset is moving in the opposite direction of a momentum indicator, such as the RSI in this script. Divergences can signal potential trend reversals.
Implementation: The script provides options for users to define the conditions under which divergences are identified, including the source of price tops/bottoms, detection limits, and the maximum lookback period for divergence analysis. It visually highlights these divergences on the chart.
Moving Average Convergence Divergence (MACD):
Purpose: Tracks the relationship between two moving averages of a security's price. The MACD is used to identify trend direction, momentum, and potential reversal points through crossovers.
Implementation: The script calculates the MACD line and its signal line. It plots buy or sell markers based on crossovers between these two lines, indicating potential entry or exit points.
Script Category:
Category: Technical Analysis / Indicators and Strategies
Subcategory: Oscillators (for RSI and MACD) and Trend Analysis (for Divergence)
Usage:
The script is designed for traders and analysts who rely on technical analysis to make informed decisions in the financial markets. By integrating RSI, divergence detection, and MACD analysis into a single script, users can gain a more nuanced understanding of market conditions, potentially improving their trading strategies.
Customization and Visualization:
Users can customize various parameters, including lengths for RSI and MACD, overbought/oversold levels, divergence detection criteria, and visual aspects like colors and marker sizes.
The script provides visual cues directly on the price chart, making it easy to spot potential buy/sell signals, overbought/oversold conditions, and divergences without the need to switch between different indicators.
BigBeluga - Smart Money ConceptsSmart Money Concepts (SMC) is a comprehensive toolkit built around the around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
SMC transcends traditional technical analysis by delving deeper into this framework. This approach allows users to decipher the actions of these influential players, anticipate their potential impact on market dynamics, and gain insights beyond just price movements.
This all-in-one toolkit provide the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
🔹Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
🔹Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
🔹Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit
🔹Swing failure patterns help traders identify potential entry points and rejection zones based on price swings
🔹Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edger to make informed trading decisions based on multi-timeframe liquidity dynamics
🔶 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Discount/Premium zone
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔶 BASIC DEMONSTRATION
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
Dotted lines: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
🔶 USAGE & EXAMPLES
The image above showcases a detailed example of several features from our toolkit that can be used in conjunction for a comprehensive analysis.
Price rejecting from the bullish order block (POC), while printing inside a bullish SFP and internal structure turning bullish (Internal CHoCH).
The image further demonstrates how two bearish order blocks could potentially act as resistance zones when prices approach those levels. These areas might also offer attractive locations to place take-profit orders.
The price has reached our first take-profit level, but is exhibiting some signs of weakness, suggesting a potential pullback which could put the trade at higher risk.
On the other hand, the price action currently exhibits strong bullish sentiment, suggesting favorable entry points and a potential upward trend.
The price has now fully reached our take-profit zone and is also exhibiting bearish confluence, indicating a potential price reversal or trend shift.
🔶 USING CONFLUENCE
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
In the image above we can see a few examples of the indicator used in confluence with other metrics included in the toolkit.
Liquidity Prints within order blocks
SFP close to the POC
Sweep in liquidity close to a fair value gaps
These are just a few examples of what applying confluence can look like.
🔶 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Internal: a period of the beginning of the internal structure
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Premium / Discount: Lookback period of the pivot point calculation
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick- avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal h&L: (short-mid-long term) display longer term
Any Alert(): Trigger alerts based on the selected inputs
Cumulative Volume Delta (CVD)█ OVERVIEW
Cumulative Volume Delta (CVD) is a volume-based trading indicator that provides a visual representation of market buying and selling pressure by calculating the difference in traded volumes between the two sides. It uses intrabar information to obtain more precise volume delta information than methods using only the chart's timeframe.
Volume delta is the net difference between Buy Volume and Sell Volume. Positive volume delta indicates that buy volume is more than sell volume, and opposite. So Cumulative Volume Delta (CVD) is a running total/cumulation of volume delta values, where positive VD gets added to the sum and negative VD gets subtracted from the sum.
I found simple and fast solution how to calculate CVD, so made plain and concise code, here is CVD function :
cvd(_c, _o, _v) =>
var tcvd = 0.0, delta = 0.0
posV = 0.0, negV = 0.0
totUV = 0.0, totDV = 0.0
switch
_c > _o => posV += _v
_c < _o => negV -= _v
_c > nz(_c ) => posV += _v
_c < nz(_c ) => negV -= _v
nz(posV ) > 0 => posV += _v
nz(negV ) < 0 => negV -= _v
totUV += posV
totDV += negV
delta := totUV + totDV
cvd = tcvd + delta
tcvd += delta
cvd
where _c, _o, _v are close, open and volume of intrabar much lower timeframe.
Indicator uses intrabar information to obtain more precise volume delta information than methods using only the chart's timeframe.
Intrabar precision calculation depends on the chart's timeframe:
CVD is good to use together with open interest, volume and price change.
For example if CVD is rising and price makes good move up in short period and volume is rising and open interest makes good move up in short period and before was flat market it is show big chance to pump.
Weighted Average Volume Depth [QuantraSystems]Weighted Average Volume Depth
Introduction
The Weighted Average Volume Depth (𝓦𝓐𝓥𝓓) indicator is calibrated to provide extensive insights, calculated using volumetric price action and volume depth, and provides dynamic adjustments based upon historical volatility.
This indicator is a valuable asset for traders and investors, aiming to capture trends, measure dynamic volatility, and provide market reversion analysis in a systematic way.
Legend
Volumetric Top Cap: Plotted at y = 0, this line represents the probabilistic maximum value, or ‘cap’ for the signal line. It is colored using a binary color scheme, and indicates the dominant trend direction - green for an uptrend and purple for a downtrend.
Base Line: Calculated using a volume-weighted volatility measurement, this line is used as the benchmark to calculate momentum in the 𝓦𝓐𝓥𝓓 indicator.
Signal Line: The signal line represents the volume and volatility weighted measurements, and oscillates between the Base Line and Top Cap. Its position between these levels provides the depth of insights available in this script.
When the signal line is remaining in close proximity to the base line, this is indicative of a low volatility market environment. These periods are also reflected as muted bar coloring when the ‘Trend Intensity’ setting is enabled.
Conversely, when the signal line approaches, or even breaks above the Top Cap, this is characteristic of an unsustainable trending action - and probabilistically speaking, a reversion or consolation is likely to occur at these levels.
Highlighting: When this setting is enabled, background coloring is applied when the Signal Line breaks above the Top Cap. This highlights green as an oversold zone, and purple as an overbought zone.
Reversal Signals: When price begins to reverse from a zone of overextension, a signal is plotted when this reversion occurs from a high probability zone.
Circle - Shows a possible bullish reversal.
Cross - Shows a possible bearish reversal.
Case Study
In the above image, we showcase three distinct trades in short succession, showcasing the 𝓦𝓐𝓥𝓓’s speed and accuracy under the right conditions.
The first long trade was initiated upon receiving a bullish reversal signal. The trade was then closed after the price experienced a sharp upwards movement - and an overbought signal was indicated by the purple shading.
The second, short trade was entered on the next bar, after a bearish reversal signal was printed by the indicator (a white cross). Similarly, this trade was closed upon the oversold signal.
Once again, a reversal signal was indicated by the 𝓦𝓐𝓥𝓓 indicator. This time a bullish signal (a white circle), and hence a long position was opened. However, this trade was held until a negative trend confirmation (signaled by the Top Cap’s shift in color). This makes apparent the indicator’s flexible nature, and showcases the multiple signaling types available for traders to use.
Recommended Settings
The optimal settings for the 𝓦𝓐𝓥𝓓 indicator will vary upon the chosen asset’s average level volatility, as well as the timeframe it is applied to.
Due to increased volatility levels on lower timeframes, it is recommended to increase the 'Top Cap Multiplier' to take into account the increased frequency of false signals found in these trading environments. The same can be said when used on highly volatile assets - a trader will likely benefit from using a higher 'Top Cap Multiplier.'
On more price-stable assets, as well as any asset on higher timeframes, there is merit to tightening the length of the 'Top Cap Multiplier,' due to the slower nature of price action.
Methodology
The 𝓦𝓐𝓥𝓓 starts with calculating the volume weighted average price and the volume weighted variance - which is the expectation of the squared deviation of a variable from its mean, giving insights into the distribution of trading volume.
Using the volume weighted variance, a standard deviation value is calculated based on user input. This value acts as the ‘Volumetric Top Cap’ - seen in the 𝓦𝓐𝓥𝓓 indicator window as the zero line.
The signal line is calculated as the difference between the current price and the theoretical upper or lower VWAP deviation bands. This line acts as the trigger for identifying prevailing trends and high probability reversal points.
The base line serves as a reference point for historical momentum. It is calculated using an exponential moving average of the lowest signal line values over a defined lookback period. This baseline helps in assessing whether the current momentum is high or low relative to historical norms.
Notes
Bar coloring can be turned off - especially useful when stacking multiple indicators as recommended, or set to 'Trend Intensity,' or 'Binary Trend' (which reflects the top cap coloring).
It is always recommended to never rely on a single indicator - and instead build and test multiple strategies utilizing more than one indicator as confirmation.
Footprint liteFootprint Lite enables you to monitor volume distribution for the current ticker, offering resolutions as 1 second, segmented by specified price levels with visual representations. Additionally, you have the flexibility to customize the displayed Imbalance price level and the number of consecutive Imbalance level lines.
Here are the input options:
Group Display:
This section allows you to adjust how Footprints are displayed.
"Count show bars": Directly adjusts the display to show the last 'n' bars.
"Display all available bars": Shows all available bars.
Group Row size:
Adjusts the parameters for generating Footprints based on price step size.
"Ticks Per Row": Directly sets the price step, calculated by multiplying the entered value by syminfo.mintick.
"Auto": Enables automatic mode for selecting the "Ticks Per Row" value.
"Max row": Relevant for auto mode, it sets the acceptable number of rows within a bar. The automatic "Ticks Per Row" calculation is based on the first available bar and applied to subsequent bars.
Group Imbalance:
Customizes the display of price levels represented by Imbalance and emphasizes consecutive lines.
"Imbalance Percent": A coefficient expressed as a percentage to determine the Imbalance of price levels, comparing the buy price diagonally to the previous sell price.
"Stacked levels": Sets the minimum number of consecutive Imbalance levels required to draw extended lines.
Alerts:
You can set alerts for various events:
"New imbalance line sell": Alerts on the appearance of a new imbalance line for selling.
"New imbalance line buy": Alerts on the appearance of a new imbalance line for buying.
"Stop past imbalance line sell": Alerts when the previous imbalance line for selling stops, indicating it has reached the range from low to high of the current bar.
"Stop past imbalance line buy": Alerts when the previous imbalance line for buying stops, indicating it is within the range from low to high of the current bar.
"New imbalance buy": Alerts on the appearance of a new or change in the current imbalance level for buying.
"New imbalance sell": Alerts on the appearance of a new or change in the current imbalance level for selling.
Forex Multi-Factor IndicatorMoving Averages (MA):
Two moving averages are plotted on the chart: a fast MA (blue line) and a slow MA (red line).
The fast MA is calculated using a shorter period (10 periods by default), while the slow MA is calculated using a longer period (30 periods by default).
Moving averages help identify trends by smoothing out price fluctuations. When the fast MA crosses above the slow MA, it suggests a bullish trend, and when the fast MA crosses below the slow MA, it suggests a bearish trend.
Relative Strength Index (RSI):
The RSI indicator (orange line) is plotted on a separate axis.
RSI measures the speed and change of price movements and oscillates between 0 and 100.
RSI values above 70 are considered overbought, indicating a potential reversal to the downside, while RSI values below 30 are considered oversold, indicating a potential reversal to the upside.
Volume Moving Average (Volume MA):
The volume moving average (purple line) is plotted on the same axis as the volume.
The volume moving average is calculated over a specified period (20 periods by default).
Volume analysis provides insights into the strength of price movements. When the volume increases along with price movements, it suggests strong conviction from traders.
Buy and Sell Signals:
Buy signals (green triangle) are generated when all of the following conditions are met:
The fast MA crosses above the slow MA (indicating a bullish trend).
The RSI is below the oversold level (indicating potential upward momentum).
The current price is above the fast MA, and the volume is higher than the volume MA (indicating positive volume trend).
Sell signals (red triangle) are generated when all of the following conditions are met:
The fast MA crosses below the slow MA (indicating a bearish trend).
The RSI is above the overbought level (indicating potential downward momentum).
The current price is below the fast MA, and the volume is lower than the volume MA (indicating negative volume trend).
Overall, this multi-factor indicator combines moving averages, RSI, and volume analysis to identify potential buying and selling opportunities in the Forex market. Traders can use the signals generated by this indicator as part of their trading strategy, but it's important to consider other factors such as risk management and market conditions before making trading decisions
Rolling Strategic AVWAPThe Rolling Strategic AVWAP gives you the ability to have the standard AVWAP indicators applied across all charts in all timeframes. There is no manual intervention necessary to keep all the standard VWAPs up to date. This indicator is written so that all weekends and trading holidays are taken into account so you never have any gaps or days where the indicator isn't working.
Standard rolling AVWAP indicators:
Daily
2-day
3-day
Week-to-Date
Month-to-Date
Year-to-Date
Additionally I have supplied several custom labeled AVWAP indicators that the user can adjust the date themselves
Custom Fixed AVWAP indicators:
Prior Week-to-Date
Prior Month-to-Date
Prior Year-to-Date
Fed rate decision
Inflation report
GDP report
Jobs report
3 more labeled Custom1-3
These custom locations will allow the user to anchor the VWAP to meaningful dates and times in the market. Often there are large moves due to global macro events that can give the trader an edge by referencing the VWAP to the date and time.
Labels and Display
There are options to turn on and off any of the AVWAPs, as well as turning on and off the display labels below the candles.
VEMA_LTFVEMA indicator is based on lower time frame volume data and it has 3 lines.
20, 50, 100 moving averages of the close price in each candle with the highest volume.
Effectively working fine and hence sharing.
Will Add more information with examples in next update
Pulse Profiler [QuantraSystems]Pulse Profiler
Introduction
The Pulse Profiler ( ℙℙ ) is specifically designed to unambiguously indicate weakening momentum after a strong impulse. The upper and lower standard deviation bands also allow the user to assess the strength of an impulse and differentiate it from general noise.
Due to the ℙℙ ’s rapid responsiveness to exhaustion in price movement it is ideally used for the trader to recognize when to start taking profit when combined with other indicators.
The novum is that by dynamically balancing its sensitivity to recent movements the ℙℙ considers the asset’s inherent volatility. By reducing noise without sacrificing signal, and by visualizing it in our typical modern QuantraAI style, the ℙℙ enhances the traders’ ability to distinguish impulses with weakening momentum from strong trending movements.
Legend
Impulse: The ℙℙ showing strength based on momentum and volume.
Dynamic standard deviation bands: Rolling probability based bands based on a rolling normal distribution. Adjustable, recommended are σ = 1.5 to σ = 2.5.
Neutral lines: Dynamic thresholds which get often respected as support or resistance.
Case Study
To properly employ the ℙℙ , the trader should use it to identify out-of-the-ordinary 𝓲𝓶𝓹𝓾𝓵𝓼𝓮𝓼 which cause a following exhaustion.
The rolling standard deviation bands incorporate the asset’s historical behavior in regards to its inherent volatility on a rolling basis. If the asset shows strong 𝓲𝓶𝓹𝓾𝓵𝓼𝓮𝓼 that go beyond the rolling standard deviation, the event has been highly improbable. The trader then needs to determine if the price change was caused by critical external factors. If not, it is highly probable that the momentum exhausts and that price movement plateaus to enter a range.
These signals indicate that it is highly probable that closing a position upon these conditions is the correct choice.
If the 𝓲𝓶𝓹𝓾𝓵𝓼𝓮 reverses and retraces into the opposite direction, while moving more than 1.5σ across just 3 bars on the 4H chart, the signal indicates that a reversal is pushing the price down – in both momentum and volume.
A sharp reversal thus becomes more probable than not.
The ℙℙ can also be calibrated to find possible trend exhaustions on a longer timeframe (1D).
Please always use multiple Quantra indicators to add confirmations to your signals.
Recommended Settings
Swing Trading (4H chart)
Standard Deviation Lookback: 150
Standard Deviation Multiplier (σ): 2.5
Display Variant: Classic
Choose Mode for Bar Coloring: Signal
Trend exhaustion (1D chart)
Standard Deviation Lookback: 200
Standard Deviation Multiplier (σ): 2.0
Display Variant: Classic
Choose Mode for Bar Coloring: Extremes
Notes
Quantra Standard Value Contents:
The Heikin-Ashi (HA) candle visualization smoothes out the signal line to provide more informative insights into momentum and trends. This allows earlier entries and exits by observing the indicator values transformed by the HA.
Various visualization options are available to adjust the indicator to the user’s preference: Aside from HA, a classic line, or a hybrid of both.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
To add to Quantra's indicators’ utility we have added the option to change the price bars colors based on different signals:
Choose Mode for Coloring
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremes (Everything beyond the SD bands is highlighted to signal mean reversion)
Candles (Color of HA candles as barcolor)
Reversions (Only for HA) (Reversion Signals via the triangles if HA candles change trend while beyond the SD bands, high probability entries/exits)
The ℙℙ is also sensitive to divergences for those interested in utilizing this feature.
Through a special combination of price, volume and momentum you get a holistic overview on the impulse strengths of movements.
The two neutral lines in the center act as dynamic, volume and volatility adjusted thresholds. Often the signal line respects them as support and resistance.
The upper and lower standard deviation lines express the rarity of an impulse based on the asset’s inherent volatility.
The indicator needs a long enough timespan to build up its probability estimation, therefore the asset needs sufficient price history.
The indicator requires thorough volume data. If the source of an asset pair does not forward it, try to find another source or exchange for the same pair.
Signal Mode on the 4H chart is a relevant part of this indicator when used in isolation and helps to analyze momentum adjusted by volatility.
Methodology
The ℙℙ combines the Arnaud Legoux Moving Average (ALMA) with a bespoke volume and momentum calculation, with a classical Exponential Moving Average (EMA) on price data.
The ℙℙ itself integrates ALMA for volume and momentum with an EMA calculation on price, creating a unique blend that expresses impulses using their three raw main components.
The indicator calculates dynamic standard deviation bands based on an adjustable lookback period and the adjustable sigma (σ), to signal when the impulse strength is just uncommon or even extraordinary when compared to the usual price movements:
σ = 1.5 the probability of similar impulse strength occuring is 13.37% / 2, hence ~ 6.69%
σ = 2.0 the probability of similar impulse strength occuring is ~ 2.28%
σ = 2.5 the probability of similar impulse strength occuring is ~ 0.62%
By detecting extremely improbable conditions the indicator can create an inversely highly probable signal to its user.
Neutral bands are calculated based on the ℙℙ alongside a rolling, dynamic multiplier. This effectively provides dynamic thresholds for approximating common volatility.
Heikin Ashi method: The indicator uses a custom function to calculate Heikin Ashi values, useful for smoothing impulse data and identifying trends.
Reversion Signals: Specifically for Heikin Ashi displays, we plot triangles as signals, useful to easily spot potential reversals.
The Signal Mode uses these different thresholds to highlight significant market moves.
Open Liquidity Heatmap [BigBeluga]Open Liquidity Heatmap is an indicator designed to display accumulated resting liquidity on the chart.
Unlike any other liquidity heatmap, this aims to accumulate liquidity at specific levels that build up over time, showing larger areas of liquidity.
🔶 FEATURES
The indicator includes the following settings:
Lookback : Used to determine the range calculation of the heatmap.
Leverage : Leverage of the liquidation (Counted as % in price, Example: 4.5 will return a distance from price of 4.5%, indicating any possible resting liquidity in this range).
Levels : Amount of levels to display (Each level is counted as liquidity resting on the chart; fewer levels will return a bigger area of liquidity sitting on the chart).
Mode : Apply a color gradient from the minimum liquidation to the maximum liquidity level. Set the maximum color gradient value (Counted as volume).
Offset : Automatically determine the offset range of the Volume Profiles. Manual offset of the Volume Profiles.
🔶 CALCULATION
for i = 0 to step - 1
float plotter = na
switch i
0 =>
plotter := hs
=>
plotter := hs - diff * ( i )
cls.hm.gnL(plotter)
cls.vp.put(plotter, 0)
We calculate levels like a normal volume profile with steps, from the highest point within the lookback to the lowest one. Each level will contain the corresponding amount of volume that the candle has closed in that range.
As we can see in the image above, we add liquidity each time the distance in % from price is between two levels.
Unlike many liquidity indicators that provide a single candle liquidity heatmap, this aims to add up liquidity (volume) in already present levels.
This can be extremely useful to see which levels are likely to be more liquid and tend to get a bigger reaction to the price.
Imagine it like a range of levels that each time price revisits that area, a new position area is added; we add volume in that area each time price visits that zone. Liquidity builds up in those zones, causing a bigger reaction to the price once the price visits it.
This indicator is not the same as a single candle heatmap like many others. What is a single candle heatmap?
A single candle heatmap is when a level is created on every new candle, coloring the level based on the total volume of it.
This indicator, on the contrary, aims to provide a more specific use by adding up liquidity each time price visits it.
🔶 BASIC DEMOSTRATION
This is a basic demonstration of how we can spot high liquidity points overall using confluence:
We see the POC of the liquidation in a low volume area of the normal volume profile adding up as confluence.
Resistance from the POC Volume Profile suggesting price will go lower.
Major long open liquidity down.
As we can see, price takes out all the long liquidity and right after pumping, indicating that all the major liquidity got taken out.
Some key note to take is that a POC in the liquidation heatmap in a low volume area of the normal Volume Profile add confluence of a possible big reaction in that zone.
In the forex market, we suggest to use a low distance from price (Leverage) while in a crypto market you can use the one that fit the best the current timeframe.
🔶 CONCLUSION
This indicator aims to show open resting liquidity that had built up over time, showing the most amount of liquidation in specific areas in an aggregated way unlike many liquidation heatmap indicators that show single-level liquidation.
🔶 RELATED SCRIPT
BotDCA | Algorithmic Smart DCA Bot🌌 What the script does, how it does ?
At the heart of its algorithm, this script incorporates the concept of Dollar Cost Averaging (DCA), a method of periodically allocating funds to an asset to mitigate the effects of market volatility.
Before we start, it's important to clarify that the script is adapted for the cryptocurrency market on USDT & USDC pairs in Spot, and on the Daily timeframe (D).
For this reason, and to optimize profits, the script will generate very few buy and sell positions.
Please also note that the script does not repaint.
Essentially, BotDCA generates buy and sell orders.
These buy and sell orders are generated using the following logic :
BUYING LOGIC :
• Volume : Current volume is compared with a linear percentile of volume over a short period.
This means that if current volume is higher than observed volumes over this period, the volume criteria is considered valid.
• Momentum & Volatility : The Average True Range (ATR) indicator adjusted by a square root is used as a measure of volatility.
Momentum is then calculated as the difference between the current closing price and a short moving average, normalized by this adjusted volatility.
The oversold condition is validated when momentum exceeds a specific level.
For the buy order to be triggered, the volume, momentum and volatility criteria must be validated.
SELLING LOGIC :
• Volume : Similar to the buy logic, the volume criteria is validated when current volume is higher than previous volumes.
• Momentum & Volatility : Volatility is measured using the adjusted ATR indicator, similar to the buy logic.
An overbought condition is validated when normalized momentum, calculated as the difference between the current closing price and a volatility-adjusted short-period moving average, exceeds a specific level.
• Trend : The general market trend is considered for the sell logic.
The trend criteria is validated when the current moving average is higher than that of the previous period.
For the sell order to be triggered, the volume, momentum, volatility and trend criteria must be validated.
These orders are also adjusted according to what the user defines as buy and sell settings :
🔵 Buying settings
• Quantity per order ($) : Defines the amount in stable coins to be invested for each buy order.
• └> Mult. quantity (x) : Multiplication factor applied to the buy quantity for successive orders, enabling the investment to be increased in the event of a price fall.
Example : If Quantity per order is $200 and Mult. quantity is x2, then the second buy order will be $400, the third buy order will be $800, the fourth buy order will be $1600 ...
After a sell order, the multiplier is cancelled.
Note : If value is set to 1 : Disabled
• └> Max. quantity (x) : Sets a maximum purchase quantity limit, preventing orders from exceeding this amount.
Example : If Quantity per order is $200, Mult. quantity is x2, and Max. quantity is $700, then the second buy order will be $400, the third buy order will be $700, the fourth buy order will be $700 ...
Note : If value is less than Quantity or is set to 0 : Disabled
• └> If Price > Average price : Enable or disable quantity multiplier when current price exceeds average price.
• Min. delay (in days) : Establishes a minimum interval in days between two successive purchases to avoid investing too close together.
Example : By default the time interval for the bot is set to D, so if you set 20 as the value, the bot will wait at least 20 days between buy orders before entering a position.
Note : If value is set to 0 : Disabled
• └> Min. deviation (%) : Defines the minimum price difference in percent to trigger a new purchase after the first.
Note : If value is set to 0 : Disabled
• └> Mult. deviation (x) : Apply a multiplication factor to the price differential for successive buys, progressively increasing the purchase interval.
Example : If Mult. deviation is 10% and Min. deviation is x2, then between the first and second buy orders the minimum deviation will be 10%, between the second and third buy orders the minimum deviation will be 20%, between the third and fourth buy orders the minimum deviation will be 40%...
After a sell order, the multiplier is cancelled.
Note : If value is set to 1 : Disabled
• Display help for these settings : On chart, displays help text about buying settings.
🟢 Selling settings
• Quantity (% position) : Percentage of the position to be sold in each sell order.
Example : If the first buy order is 0.1 BTC and the second buy order is 0.2 BTC, then the position is 0.3 BTC.
If Quantity (% position) is set to 20, then the first sell order will be 0.06 BTC (20% of 0.3 BTC), the second sell order will be 0.048 BTC (20% of 0.24 BTC) ...
(Auto ?) : If this option is enabled, the bot will automatically sell part of your position.
The quantity sold depends on the volatility of the last 30 days : the higher the volatility, the more it sells, and the lower the volatility, the less it sells.
The minimum sale defined is 10%, while the maximum sale will not exceed 50%.
• └> Min. deviation (%) : Minimum percentage of price deviation to trigger a sale.
Example : If Average price of BTC is 30 000 USDT and Min. deviation is 10%, then the first sell order will be at least 33 000 USDT, the second sell order will be at least 36 300 USDT ...
Note : If value is set to 0 : Disabled
(Auto ?) : If this option is activated, the bot automatically determines the sell minimum deviation percentage.
The deviation set depends on the volatility of the last 30 days : the higher the volatility, the higher the deviation, and the lower the volatility, the lower the deviation.
A start and end date defines when the script should generate buy and sell positions :
📆 Date settings
• Start date : Indicate the script launch date (If it’s a new launch, you must choose today’s date before creating your TradingView alert).
• End date : Enter the date on which you want the script to stop.
Other parameters can be configured to fine-tune buys and sells :
⏲️ Trading session settings
• Days : Allows you to select the specific days on which the script will be active, offering the possibility of excluding certain days.
🏛️ Exchange settings
• Fees (%) : Indicate the percentage fee applied by the exchange platform on each transaction.
• Price spread (%) : Specifies the price spread to be considered for realistic order adjustment.
🤖 Bot settings
• Add to Position ? : Allows tokens to be manually added to the position when the script is launched.
• └> How much ? (Base) : Number of tokens to add.
• └> Cost ? ($) : Stable coins amount of addition to position.
These settings are included in the calculation when an order is triggered.
Advanced visual customization options can be modified :
🎨 Visual settings
• TradingView Theme : Choose between a light or dark theme for the bot interface.
• Panel : Enables or disables the display of the information panel on the graph, and modifies its size and alignment.
• Positions : Show or hide buy and sell position labels on the chart, and modify their size and appearance (several display modes : basic, simple, advanced).
• Average price : Enables or disables the display of the average price line and modifies its size and color.
• Simulator : Enables or disables the ATH percentage-based simulator line and modifies its size and color.
• Trading session : Displays or hides the background of specified trading sessions.
• Hide warning messages ? : Hide or show warning messages on graph.
A profit simulator can be configured :
🕹️ Simulator settings
• Price (% ATH) : Determines a percentage of the token's ATH to simulate potential gains if the token reaches this price level again.
Users can also activate buying and selling alerts in the settings :
🤖 Bot settings
• START THE BOT ? » ALERTS ON : REAL MODE : Enable or disable the bot to execute real orders based on alerts.
• Mode FULL Auto ? : Enables the Mode FULL Auto, requiring additional configuration for connection to exchange APIs.
• └> Password FULL Auto : Password required to activate the Mode FULL Auto.
By activating FULL Auto Mode with TradingView's webhook system, the user can connect the script to the APIs of compatible exchanges, and receive notifications of buy and sell orders by e-mail, Telegram or Discord.
On the chart, a panel displays a variety of information, and also a backtesting / result of the script.
Here is a list of elements displayed by the panel :
💻 Informations panel
General :
• Pair
• Exchange
• └> Fees
• └> Price spread
• Period
• Start date
• End date
• Trading days
Buying
• Quantity per order
• └> Mult. quantity
• └> Max. quantity
• └> If Price > Average price
• └> Min. deviation
• └> Mult. deviation
• Min. delay (in days)
Selling
• Quantity (% position)
• └> Min. deviation
Exchange
• Next buy
• Next sell
Backtesting / Results
• No. of buys
• No. of sells
• Average price
• Actual position
• Actual net profit
• └> Simulator
• Last buy
• Last sell
🌌 About default settings
Default settings are defined as an example.
Above in the description, you will find details of each setting.
Here's a description of how user-defined setting categories affect the script's buy and sell positions :
📆 Date : Determines between which time ranges buy and sell positions are generated.
⏲️ Trading session : Exclude selected days disables buy positions on deselected days.
🕹️ Simulator : Does not affect buying and selling. It is for information purposes only.
🏛️ Exchange : Fees should be as close as possible to your exchange and price spread depends on your tolerance. This affects buy and sell position.
🔵 Buy : Depending on your investment capacity and risk management, these settings have an impact on buy positions.
🟢 Sell : These settings determine profit-taking. This has an impact on sell positions.
🎨 Visual : Does not affect buy and sell positions. For information only.
🤖 Bot : This part is mainly used to use the script with TradingView alerts. Only the 'Add to position' option affects buy and sell positions.
Once you've set all your settings for the script, you can view the backtesting displayed in the panel on the chart.
🌌 How to use it ?
To summarize how to use this script successfully, please follow these steps :
1. First, choose a cryptocurrency pair (e.g. BTC/USDT).
2. Set a start date (preferably today's date if it's your first launch) and an end date.
3. According on your preferences, you can choose specific trading days, or default to all days of the week.
4. Depending on your exchange, you can set fees and a price spread.
5. Then, based on your portfolio management and investment capabilities, define buy and sell parameters.
6. You can set the bot's appearance on the chart.
7. Once you have configured your settings, you can choose a simulation price.
8. Finally, to activate TradingView Alerts, check the box START THE BOT ? ALERTS ON : REAL MODE.
🌌 Overview
Here's a preview of the script with a few screenshots :
BTC/USDT • Basic display
SOL/USDT • Simple display
XRP/USDT • Advanced display
MATIC/USDT • Light theme
Script settings
🌌 Why do I have to pay ?
BotDCA uses advanced indicators and complex calculations to identify buying and selling opportunities.
With TradingView's alert system, it automates your investment strategy, eliminating the need for constant manual analysis and constant market monitoring.
This saves you precious time.
With adjustable buy and sell settings, you can customize the script to suit your risk tolerance and investment objectives.
This flexibility adds considerable value, allowing you to optimize the script to suit your situation.
Paid access ensures that you benefit from ongoing support and updates, which are essential for maintaining the script's effectiveness.
🌌 Disclaimer
This script is provided for educational purposes only and should not be construed as investment advice.
Users should be aware that trading in the financial markets involves risks, and that past performance of a script does not guarantee future results.
It is strongly recommended that you carry out a detailed analysis and consider your financial situation and risk tolerance before committing yourself to trading/investing.
RVOL++Overview
RVOL++ is a valuable tool for intraday traders to gauge market participation and anticipate the pace of the market. By understanding the RVOL levels, traders can adjust their strategies and expectations to align with the current market conditions. RVOL is a simple mathematical formula that compares the current volume to a prior lookback period, such as the previous 5 days or previous 10 days. This indicator helps traders understand the level of interest or participation in the market, which in turn can indicate the speed or pace of the market.
How to calculate RVOL at Time
Check if the current time is within the specified time period (e.g., 9:30 AM to 5:00 PM EST).
If it is, calculate the current cumulative volume for that period.
Find the average cumulative volume for the same period over the past X days (where X is the lookback period).
Calculate the RVOL at Time as:
RVOL at Time =(Current Cumulative Volume/Average Cumulative Volume)×100
For more info about calculating RVOL at time please refer to the Tradingview article.
www.tradingview.com
Key Features of RVOL++
Two Session and Daily Modes: In Two Session mode, it calculates RVOL for two distinct trading sessions, while in Daily mode, it calculates RVOL for the entire trading day. Two Session mode helps for instruments like futures, forex, crypto that trade 23+ hours. If you are using an instrument such as a stock like AAPL, if you don't have pre-market/extended hours enabled you will want to use "Daily Mode".
Session Time Settings: The indicator allows users to define the trading session times in Eastern Standard Time (EST) for more accurate RVOL calculations.
Customizable Lookback Period: Users can set the number of days for the lookback period, allowing for flexibility in calculating the average volume at time (RVOL).
Color-Coded RVOL Histogram: The indicator displays a color-coded histogram to visualize RVOL levels. Different colors represent different RVOL ranges, making it easy to identify low, neutral, and high RVOL periods.
RVOL Ranges**: The indicator defines RVOL ranges as follows:
40 - 80: Low RVOL (Red/Yellow)
80 - 120: Neutral RVOL (Blue/Cyan)
120+: High RVOL (Green-Lime)
Low RVOL Environment
Expect slow market movement with limited opportunities.
Focus on A+ setups and be selective.
Use tighter stops, size down, and adjust trading goals.
Neutral RVOL Environment
Expect a more normalized trading pace with frequent rotations.
Lean on structure and incorporate other trading tools.
Use normal sizing and stop management.
High RVOL Environment
Expect the best opportunities for range expansion and rotations.
Be more relaxed about overtrading but stay focused on structure.
Start with smaller initial size and build up to a full position.
VWAP 8EMA Crossover Scalping IndicatorWhy?
Everybody, especially in Indian context, from 9:15 AM to 3:30 PM, wants to trade in BankNifty.
And even 15m is Too Big timeframe for The Great Indian Options buyers. Everyone knows how potentially BankNifty (& FinNifty on Tuesday and Sensex on Friday) can show dance within 15m.
So there always been an overarching longing among traders to have something in shorter timeframes. And this 5m timeframe, looks like a universally (sic) accepted Standard Timeframe for Indian Options traders.
So here is this.
What?
The time we are publishing this public indicator Indian market (Nifty) is in ATH at ~22200.
In any such super trending market it's always good to wait for a dip and then in suitable time, enter the trade in the direction of the larger trend. The reversal trading systems, in such a situation, proves to be ineffective.
Of course there are time when market is sideways and keeps on oscillating between +/2 standard deviation of the 20 SMA. In such a situation the reversal play works perfectly. But not so in such a trending market.
So the question comes up - after a dip what's the right point to enter.
Hence comes the importance of such a crossover based trading system.
In this indicator, it's a well-known technique (nothing originally from ours, it's taken from social media, exact one we forgot) to find out the 8EMA and VWAP crossover.
So we learned from social media, practice in our daily trading a bit, actuate it and now publishing it.
A few salient points
It does not make sense to jump into the trade just on the crossover (or crossunder).
So we added some more sugar to it, e.g. we check the color the candle. Also the next candle if crosses and closes above (or below) the breakout candle's high/low.
The polarity (color) of both the alert (breakout/breakdown) and confirmation candle to be same (green for crossover, red from crossunder).
Of course, it does provider BUY and SELL alerts separately.
These all we have found out doing backtesting and forward testing with 1/2 lots and saw this sort of approaches works.
Hence all of these are added to this script.
Nomenclature
Here green line is the 8EMA and the red line is the VWAP.
Also there is a black dotted line. That's 50 EMA. It's to show you the trend.
The recent trade is shown in the top right of the chart as green (for buy) or red (for sell) with SL and 1:1 target.
How to trade using this system?
This is roughly we have found the best possible use of this indicator.
Lets explain with a bullish BUY positive crossover (means 8EMA is crossing over the daily VWAP)
Keep timeframe as 5m
Check the direction/slope of the black dotted line (50 EMA). If it's upwards, only take bullish positions.
Open the chart which has the VWAP. (e.g. FinNifty spot or MidcapNifty spot does not have vwap). So in those cases Future is the way to go.
Wait for a breakout crossover and let the indicator gives a green, triangular UP arrow.
Draw a horizontal line to the close of that candle for next few (say 6 candles i.e. 30m) candles.
Wait for the price first to retest the 8EMA or even better the VWAP (or near to the 8EMA, VWAP)
Let the price moves and closes above the horizontal line drawn in the 4th step.
Take a bullish trade, keeping VWAP as the SL and 1:1 as the target.
Additionally, Options buyer can consult ADX also to see if the ADX is more than 25 and moving up for the bullish trade. (This has to be added seperately in the chart, it's not a part of the indicator).
Mention
The concept we have taken from some social media. Forget exactly where we heard this first time. We just coded it with some additional steps.
Statutory Disclaimer
There is no silver bullet / holy grail in trading. Nothing works 100% time. One has to be careful about the loss (s)he can bear in case of the trade goes against.
We, as the author of this script, is not responsible for any trading or position decision one is taken based on the outcome of this.
It is our sole discretion to change, add, delete the portion or withdraw the whole script without any prior notice or intimation.
In Indian Context: We are not SEBI registered.
Fusion Traders - RSI Overbought/Oversold + Divergence IndicatorFusion Traders - RSI Overbought/Oversold + Divergence Indicator - new version
This indicator has lots of various add ons.
RSI overbought / oversold with changeable inputs
Divergence indicator
DESCRIPTION:
This script combines the Relative Strength Index ( RSI ), Moving Average and Divergence indicator to make a better decision when to enter or exit a trade.
- The Moving Average line (MA) has been made hidden by default but enhanced with an RSIMA cloud.
- When the RSI is above the selected MA it turns into green and when the RSI is below the select MA it turns into red.
- When the RSI is moving into the Overbought or Oversold area, some highlighted areas will appear.
- When some divergences or hidden divergences are detected an extra indication will be highlighted.
- When the divergence appear in the Overbought or Oversold area the more weight it give to make a decision.
- The same colour pallet has been used as the default candlestick colours so it looks familiar.
HOW TO USE:
The prerequisite is that we have some knowledge about the Elliot Wave Theory, the Fibonacci Retracement and the Fibonacci Extension tools.
We are hoping you like this indicator and added to your favourite indicators. If you have any question then comment below, and I'll do my best to help.
FEATURES:
• You can show/hide the RSI .
• You can show/hide the MA.
• You can show/hide the lRSIMA cloud.
• You can show/hide the Stoch RSI cloud.
• You can show/hide and adjust the Overbought and Oversold zones.
• You can show/hide and adjust the Overbought Extended and Oversold Extended zones.
• You can show/hide the Overbought and Oversold highlighted zones.
HOW TO GET ACCESS TO THE SCRIPT:
• Favorite the script and add it to your chart.
Herrick Payoff Index @shrilssThis indicator combines elements of price action, volume, and open interest to provide insights into market strength and potential trend reversals. This script calculates the Herrick Payoff Index (HPI) based on a modified formula that incorporates volume and open interest adjustments.
The HPI is derived from comparing the current day's mean price to the previous day's mean price, factoring in volume and open interest changes. By analyzing these factors, the indicator aims to gauge the effectiveness of market participants' positions.
Key Features:
- HPI Calculation: The HPI value is calculated using the formula: ((M - My) * C * V) * (1 + |OI - OI | / min(OI, OI )), where M represents the mean price for the current day, My represents the mean price for the previous day, C is a constant (set to 1), V is the volume, and OI is the open interest. This adjusted calculation accounts for changes in volume and open interest, providing a more nuanced view of market dynamics.
- Moving Averages: The script also includes two Exponential Moving Averages (EMAs) of the HPI values, allowing traders to identify trends and potential reversal points. Users can customize the length of these moving averages to suit their trading strategies.
- Visual Signals: The indicator visually represents the HPI values and their relationship to the moving averages. When the HPI value is above the shorter-term EMA, it suggests bullish momentum, while values below indicate bearish sentiment.
CVI Tops/Bottoms Detector [AstroHub]
Welcome to the realm of precision trading with the CVI Tops/Bottoms Detector by AstroHub. Crafted with a keen eye on market dynamics, this indicator stands as a reliable tool for identifying potential trend reversals and market turning points.
Key Features of the Indicator:
The CVI Tops/Bottoms Detector, developed by AstroHub, is a powerful tool designed to detect tops and bottoms in the market. Its calculations are based on sound mathematical principles, ensuring accurate identification of bullish and bearish signals. 🔍
Calculation Period and Thresholds:
Calculation Period: Adjust the "Period" parameter to tailor the indicator to different timeframes.
Thresholds: Set the "Bullish Threshold" and "Bearish Threshold" to determine the sensitivity of the indicator to potential market shifts.
CVI Calculation:
The indicator calculates the Current Volume Index (CVI) by considering the difference between the closing price and the smoothed average, normalized by volatility. This innovative approach provides a clear view of market sentiment.
Visual Signals and Alerts:
Bullish and Bearish Signals: Clearly defined signals are represented by diamond shapes on the chart, accompanied by color-coded indications.
Gradient Colors: Gradient colors add a visual dimension to the signals, making it easier to interpret market trends.
Connecting Lines: Lines connect signals, offering a visual guide for understanding the flow of the market.
Symbol Transparency:
Customize the transparency of the underlying symbol to ensure clarity in signal visualization.
User-Friendly Customization:
Flexible Coloring: Tailor the colors of bullish and bearish signals to match your preferences.
Line Colors: Adjust line colors to enhance visibility.
Alerts: Receive timely alerts when a new bullish or bearish signal is detected.
Usage Example:
Open the indicator settings.
Adjust the "Period" to match your desired timeframe.
Fine-tune the "Bullish" and "Bearish Thresholds" based on your risk tolerance.
Experiment with customizing colors and transparency to suit your visual preferences.
Alerts for Proactive Trading:
Activate alerts to stay informed about potential bullish or bearish market opportunities. 🚨
By integrating the CVI Tops/Bottoms Detector into your trading toolkit, you gain a powerful ally in navigating the dynamic landscape of financial markets. 🌐💹
MTF VWAPThis indicator is an enhanced version of the traditional VWAP, providing traders with multiple timeframe views, automatic session anchoring, and customization options for optimized technical analysis.
Key Features:
1. Multiple Timeframes, One View : Visualize Daily, Weekly, Monthly, and Yearly VWAP calculations simultaneously on a single chart.
2. Automatic Anchoring : The indicator intelligently auto-anchors each VWAP calculation to the start of its respective session. This ensures accurate readings and streamlines your analysis by eliminating the need for manual adjustments.
3. Customizability : Tailor the appearance of the indicator with fully customizable colors and the ability to select your preferred price source (e.g., high, low, close, hlc3, hlcc4, or a custom one).
VSA Volume Spread AnalysisVolume Spread Analysis with Trend Direction is an indicator designed to Identify trend based volume spread.
Volume
Spread
Trend
This is a very simple yet powerful to identify Trend and corresponding volume Breakout. Unlike other Volume Indicators this indicator detects Breakout along with trend direction. One can detect the Early breakout in volume using this indicator. The Buy or Sell Signal is based on zero crossing of the Histogram.
Trend direction is confirmed using the MA of the Histogram which is similar to the Volume MA on volume indicator. One can enter a trade using the indicator when Trend direction and histogram are in same direction. Entry is done when ever histogram crosses the Trend MA line.
Fake entries can be eliminated by changing the indicator to higher Timeframe.
Spread is determined using the difference in open and close of the candle
Volume change is determined using the ratio of change of volume to previous volume
EMA 10 is used to determine the Spread and multiplied by volume change so the
PRICE(ema10), Volume, Spread(close-open) are merged to one indicator.
Direction changes when ever difference of VSA is positive or negative.
VWAP Bands @shrilssVWAP Bands Integrates VWAP with standard deviation bands to provide traders with insights into potential support and resistance levels based on volume dynamics. VWAP is a key metric used by institutional traders to gauge the average price a security has traded at throughout the trading day, taking into account both price and volume.
This script calculates the VWAP for each trading session and overlays it on the price chart as a solid line. Additionally, it plots multiple standard deviation bands around the VWAP to indicate potential areas of price extension or contraction. These bands are derived from multiplying the standard deviation of price by predetermined factors, offering traders a visual representation of potential price ranges.
Timely Opening Range Breakout Strategy [TORB] (Zeiierman)█ Overview
The Timely Opening Range Breakout (TORB) indicator builds upon the classic Open Range Breakout (ORB) concept. The ORB strategy is a popular trading setup used to identify trades around the opening range of an asset. It's based on the idea that the first few minutes (15-60 minutes) of trading often set the tone for the rest of the day, with breakouts above or below the opening range signifying potential trends.
TORB refines the concept by stating that a trade is only valid if there is sufficient market activity. This means a breakout beyond the upper or lower range is only of interest during the most active trading hours, as defined by PMMV (Per-Minute Mean Volume)
█ How It Works
ORB
The indicator works by first defining a session's opening range based on user-specified settings, including the session's start and end times and the applicable time zone. During this session, it calculates the high and low price points, which form the basis for identifying potential breakout levels.
PMMV
PMMV (Per-Minute Mean Volume) provides a snapshot of the market's activity level at each minute of the trading day. PMMV is calculated by averaging the trading volume in a one-minute interval over a specified number of trading days. This script uses the average volume over the last N periods to determine the PMMV value. This average volume provides a smoother representation of volume activity compared to using a single volume value. It considers the volume over a broader timeframe, filtering out short-term fluctuations and potentially offering a more reliable indicator of underlying market activity.
TORB
TORB works by integrating the Opening Range Breakout (ORB) highs and lows with the Per-Minute Mean Volume (PMMV) metric to assess the validity of breakouts. The objective is to identify breakouts from the opening high and low levels during periods of heightened market activity, as indicated by PMMV.
█ How to Use
To effectively utilize the Timely Opening Range Breakout (TORB) strategy, follow these steps:
Identify Active Hours: Employ PMMV to pinpoint periods of peak activity within the trading day.
Apply Basic ORB Rules: If the price surpasses the upper range (resistance), buy; if it breaches the lower range (support), sell.
Breakouts
The TORB strategy identifies breakout signals when the price moves beyond the established range, supported by volume exceeding a set threshold. This technique aims to eliminate false signals, focusing on price movements during high market activity.
█ Settings
Session
Trading Session: Customize the trading session's start and end times.
Volume
Volume analysis is integral to the TORB strategy, as it uses volume data to confirm the strength and validity of breakout signals.
Period: Sets the number of periods (or bars) to calculate the average volume, which is then used to assess market activity level.
Sensitivity and Significance: Adjusts how responsive the volume analysis is to changes in trading volume. By adjusting the sensitivity, traders can decide how much emphasis to place on volume spikes, potentially reducing false breakouts and focusing on those supported by significant trading activity.
Breakout Threshold
This setting establishes a criterion to identify when the price movement is significant enough.
Threshold: Traders set a threshold level to identify high market activity. If the PMMV is greater than or equal to this threshold, it indicates significant market activity.
Setting the correct threshold is key to balancing sensitivity and specificity. Too low of a threshold may lead to many false positives, while too high of a threshold might filter out potentially profitable breakouts. This setting helps in pinpointing when market activity indicates a strong move, thereby aligning trade entries with moments of heightened market momentum.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
VWAP_CURRENT_YESTERDAY
The "VWAP CURRENT YESTERDAY" is a Pine Script designed for TradingView that automatically calculates and plots the Volume Weighted Average Price (VWAP) for the current day, the previous day.
Dynamic VWAP Calculation:
Automatically generates VWAPs for 1 day and 2 day.
User-Friendly Customization:
Through input options, users can easily toggle the visibility of each VWAP line, adjust colors, and set line thicknesses to their preference.
Configuration Options
1. VWAP Source:
Choose the price source for VWAP calculation. Default is the typical price (`hlc3` - the average of high, low, and close).
2. VWAP Lines:
Toggle the display for Today's VWAP, Yesterday's VWAP, and the VWAP from 2 days ago.
Customize colors and thickness for each VWAP line for clear visual distinction.
3. VWAP Labels:
Configure label sizes and positions to ensure that VWAP values are easily identifiable on the chart.
How It Works:
- The script calculates the sum of price multiplied by volume (`vwapsum`) and the sum of volumes (`volumesum`) for the specified periods.
- It utilizes an impulse function to reset calculations at the start of each new session or custom date, ensuring accurate and relevant VWAP values .
- Final VWAP values are plotted as lines on the chart, with optional labels for current and 2-day VWAPs for quick reference.
Customization Guide:
- To activate or deactivate specific VWAP lines, navigate to the 'VWAP Lines' section in the script's settings and toggle the respective options.
- Adjust the color and thickness of each VWAP line under the same section to match your charting preferences.
- Label settings, including size and offset, can be customized in the 'VWAP Labels' section, allowing for personalized label positioning and readability.
