Multi SMA EMA VWAP1. Moving Average Crossover
This is one of the most common strategies with moving averages, and it involves observing crossovers between EMAs and SMAs to determine buy or sell signals.
Buy signal: When a faster EMA (like a short-term EMA) crosses above a slower SMA, it can indicate a potential upward movement.
Sell signal: When a faster EMA crosses below a slower SMA, it can indicate a potential downward movement.
With 4 EMAs and 5 SMAs, you can set up crossovers between different combinations, such as:
EMA(9) crosses above SMA(50) → buy.
EMA(9) crosses below SMA(50) → sell.
2. Divergence Confirmation Between EMAs and SMAs
Divergence between the EMAs and SMAs can offer additional confirmation. If the EMAs are pointing in one direction and the SMAs are still in the opposite direction, it is a sign that the movement could be stronger and continue in the same direction.
Positive divergence: If the EMAs are making new highs while the SMAs are still below, it could be a sign that the market is in a strong trend.
Negative divergence: If the EMAs are making new lows and the SMAs are still above, you might consider that the market is in a downtrend or correction.
3. Using EMAs as Dynamic Support and Resistance
EMAs can act as dynamic support and resistance in strong trends. If the price approaches a faster EMA from above and doesn’t break it, it could be a good entry point for a long position (buy). If the price approaches a slower EMA from below and doesn't break it, it could be a good point to sell (short).
Buy: If the price is above all EMAs and approaches the fastest EMA (e.g., EMA(9)), it could be a good buy point if the price bounces upward.
Sell: If the price is below all EMAs and approaches the fastest EMA, it could be a good sell point if the price bounces downward.
4. Combining SMAs and EMAs to Filter Signals
SMAs can serve as a trend filter to avoid trading in sideways markets. For example:
Bullish trend condition: If the longer-term SMAs (such as SMA(100) or SMA(200)) are below the price, and the shorter EMAs are aligned upward, you can look for buy signals.
Bearish trend condition: If the longer-term SMAs are above the price and the shorter EMAs are aligned downward, you can look for sell signals.
5. Consolidation Zone Between EMAs and SMAs
When the price moves between EMAs and SMAs without a clear trend (consolidation zone), you can expect a breakout. In this case, you can use the EMAs and SMAs to identify the direction of the breakout:
If the price is in a narrow range between the EMAs and SMAs and then breaks above the fastest EMA, it’s a sign that an upward trend may begin.
If the price breaks below the fastest EMA, it could indicate a potential downward trend.
6. "Golden Cross" and "Death Cross" Strategy
These are classic strategies based on crossovers between moving averages of different periods.
Golden Cross: Occurs when a faster EMA (e.g., EMA(50)) crosses above a slower SMA (e.g., SMA(200)), which suggests a potential bullish trend.
Death Cross: Occurs when a faster EMA crosses below a slower SMA, which suggests a potential bearish trend.
Additional Recommendations:
Combining with other indicators: You can combine EMA and SMA signals with other indicators like the RSI (Relative Strength Index) or MACD (Moving Average Convergence/Divergence) for confirmation and to avoid false signals.
Risk management: Always use stop-loss and take-profit orders to protect your capital. Moving averages are trend-following indicators but don’t guarantee that the price will move in the same direction.
Timeframe analysis: It’s recommended to use different timeframes to confirm the trend (e.g., use EMAs on hourly charts along with SMAs on daily charts).
VWAP
1. VWAP + EMAs for Trend Confirmation
VWAP can act as a trend filter, confirming the direction provided by the EMAs.
Buy Signal: If the price is above the VWAP and the EMAs are aligned in an uptrend (e.g., short-term EMAs are above longer-term EMAs), this indicates that the trend is bullish and you can look for buy opportunities.
Sell Signal: If the price is below the VWAP and the EMAs are aligned in a downtrend (e.g., short-term EMAs are below longer-term EMAs), this suggests a bearish trend and you can look for sell opportunities.
In this case, VWAP is used to confirm the overall trend. For example:
Bullish: Price above VWAP, EMAs aligned to the upside (e.g., EMA(9) > EMA(50) > EMA(200)), buy.
Bearish: Price below VWAP, EMAs aligned to the downside (e.g., EMA(9) < EMA(50) < EMA(200)), sell.
2. VWAP as Dynamic Support and Resistance
VWAP can act as a dynamic support or resistance level during the day. Combining this with EMAs and SMAs helps you refine your entry and exit points.
Support: If the price is above VWAP and starts pulling back to VWAP, it could act as support. If the price bounces off the VWAP and aligns with bullish EMAs (e.g., EMA(9) crossing above EMA(50)), you can consider entering a buy position.
Resistance: If the price is below VWAP and approaches VWAP from below, it can act as resistance. If the price fails to break through VWAP and aligns with bearish EMAs (e.g., EMA(9) crossing below EMA(50)), it could be a good signal for a sell.
Volume
Magic Candles PRO [MW]The Magic Candles indicator provides users with low risk/high reward entries on small candles with big volume. It uses calculations that uniquely define high volume/low price movement (volume hammer) candles and engulfing pattern candles. In theory, measuring a volume hammer candle seems relatively simple, but it is in the definition of high and low with respect to volume and price movement, and with respect to each other that requires a novel method of defining the relationship. The definition that is ultimately used gives users the ability to identify candles that typically precede large price movements, because the volume necessary to drive the price exists by definition even though it is not reflected in the size of the current candle.
Similarly, engulfing candle patterns are useful because they show an acceleration of price movement from the previous candle. The difficulty in calculating engulfing candles, as with volume hammer candles, is in the interpretation of candle size, or “engulfing”. In many cases, engulfing simply means that a candle has reversed direction from the previous candle, and the body of the previous candle sits between the open and close of the new candle. Sometimes wicks are used, sometimes they aren’t. Our differentiation is that we allow the user to change “engulfing” to their preference, so that it can include candle bodies, full candles, dojis, and candle patterns where the body of the previous candle is not necessarily in between the open and close of the new candle. It also uses a double stochastic calculation on ATRs that filter out engulfing candles that may not be as meaningful.
Settings
Volume Hammer Candles
ATR Period: The ATR period that is used to compare the candle size against. (Default: 5)
Candle Portion to Use: The candle size can be defined as just the body, or the entire candle. (Default: Candle Body)
Volume Absorption Threshold: The threshold for the volume ratio relative to the candle size ratio. (Default: 4.5)
Volume ATR Period: The ATR period that is used to compare the volume against. (Default: 3)
3 Consecutive Volume increases and 3 Bullish Candles: (Default: ON)
3 Consecutive Volume Increases and 3 Bearish Candles: (Default: ON)
2 Consecutive Volume increases Prior to Current Candle: (Default: ON)
Engulfing Pattern Candles
Show Engulfing Candles: (Default: ON)
Include Candle Wicks in Calculation: (Default: ON)
Show Bullish Candles: (Default: ON)
Show Bearish Candles: (Default: ON)
Use Dojis for Reversed Candles: Typically engulfing candles are compared against candles that are in the opposite direction of the new candle. However, dojis, or candles with small candle bodies and relatively large wicks, can be optionally used to measure against. (Default: OFF)
ATR Period 1: We use 2 levels of stochastic calculation to compare against in order to determine if an engulfing candle is valid. This is the shorter period ATR. (Default: 14)
ATR Period 2: The 2nd of 2 ATR periods used in a 2-level stochastic calculation that’s used to evaluate valid engulfing candles. (Default: 21)
Stochastic Period: The Stochastic Period used for both levels of ATR calculations. (Default: 14)
Smoothing: The period used to “smooth” the stochastic curves. (Default: 3)
Calculations
This indicator uses a comparison between relative volume (raw volume compared to its average true range) and relative price action as determined by candle size (specifically, candle size compared to the average true range of the candle size). The ratio between the relative volume and relative price action are compared as a ratio. Once that ratio hits a defined threshold a signal is generated in the form of a bright yellow bar, which we refer to as a “volume hammer”, because of the heavy volume acting on an unmoving object (price).
The indicator also identifies engulfing candle patterns by
Determining the candle body size or full candle size.
Checking to see if there was a reversal of direction, or checking to see if the first candle was a doji (small body with relatively large wicks).
Calculating the stochastic ATR patterns across two periods in order to normalize the ATR behavior for comparison.
Calculating the delta between those stochastic ATRs
Calculating the stochastic patterns of the delta between the stochastic ATRs to add further sensitivity to the comparison between candles.
How to Use
Volume Hammer
When a bright yellow bar appears in the lower window it means that the ratio of relative volume to relative price movement is very high, which indicates that a volatile move will occur within the next candle or so. In this scenario using a small risk that is not much larger than the candle itself can be paired with a large reward/risk ratio when setting a take profit target.
For example, if the body of a candle has a range of less than $0.02 and the full candle is less than $0.10 in range, then a $0.10 stop can be used with the expectation that the large volume will generate a volatile move in one direction or the other. The expected move is generally 3x the size of the full candle, but typically more.
Sometimes, however, that 3x move will reverse and turn into even a larger move in the opposite direction if a key support or resistance level is hit. So, it is very useful to use this indicator with a tool that can identify key support/demand zones and resistance/supply zones such as the Magic Order Blocks or QQQ and SPY Price Levels for equities based on the NASDAQ and S&P 500. It can also be combined with indicators that provide upper and lower bounds like Magic Linear Regression Channel , ATR Bands (Keltner Channel) Wick and SRSI Signals , and/or Bollinger Band Wick and SRSI Signals .
Additionally, the bright yellow candles have color-coded indicators that reflect the behavior of preceding volume behavior.
- Orange Dot - 3 consecutive candles of increasing volume
- Green Dot - 3 consecutive candles of increasing volume with a bullish candle pattern
- Red Dot - 3 consecutive candles of increasing volume with a bearish candle pattern
- Blue Dot - 2 consecutive candles of increasing volume followed by a candle with volume that is greater than the starting candle.
These only reflect the volume and candle pattern. They can provide insight, but should not be used as buy or sell signals, especially when encountered at key price levels.
Engulfing Candle Pattern
Frequently, the bright yellow bar in the lower window will be followed by an engulfing candle in the main chart. Engulfing candle patterns can themselves be useful on their own in a market that is not highly volatile. They tend to be indicative of price reversals, or trend continuations following consolidation. Following an engulfing candle, risk can be set at the “far end” of the candle with the expectation that if it does accurately define the direction, then the price will be less likely to go back to the candle’s starting price.
Other Usage Notes and Limitations
Occasionally a large gray bar will appear that is above the relative volume to relative candle size threshold. This indicates that although there is little price movement when compared to the volume, the actual volume is trailing off. This could lead to a quick move in a bullish or bearish direction, but it potentially would not be as sustained as in the case where volume has been consistently rising.
There are also faded yellow bars that appear when volume is increasing when the relative price movement is small. However, when the ratio of the relative volume is not large enough when compared to the price movement (i.e. it does not meet the threshold requirement) its color remains a dim yellow color.
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Pattern Pro VPOCSummary:
This indicator combines multi-timeframe pattern detection (triangles and wedges), Volume Point of Control (VPOC) visualization, predictive volume modeling, and a swing-based VWAP. It provides traders with a detailed view of key trading patterns, high-volume levels, and entry/exit opportunities, all integrated into one powerful tool.
How This Script is Unique:
Multi-Timeframe Pattern Analysis:
Identifies chart patterns like triangles and wedges across multiple timeframes, enhancing the trader's ability to spot actionable opportunities.
Dynamically tracks pivot points and projected trendlines to visualize ongoing and potential patterns.
Volume Point of Control (VPOC):
Automatically calculates and plots the VPOC for detected patterns, highlighting the price level with the highest traded volume.
Helps identify strong support/resistance levels within patterns.
Predictive Volume Modeling:
Predicts high-volume trading times based on historical averages, allowing traders to anticipate periods of increased market activity.
Bars are color-coded to reflect projected volume activity.
Swing-Based VWAP:
Incorporates swing highs and lows into VWAP calculations, making it adaptive to current market conditions.
Offers a more dynamic view compared to traditional static VWAP indicators.
Trade Management Features:
Visualizes stop-loss (SL) and take-profit (TP) levels directly on the chart.
Tracks active trades and peak performance, enabling effective trade management.
Customizability:
Offers user-defined settings for timeframe selection, risk management, and volume modeling, making it adaptable to various trading strategies.
How to Use:
Pattern Detection:
The script automatically identifies triangle and wedge patterns. No manual input is needed for detection.
Patterns are displayed with top and bottom trendlines and the associated VPOC.
Volume Modeling:
Enable "Use Predictive Volume" under the Predictive Volume settings to highlight periods of projected high activity.
Customize the moving average period and date range for better precision.
Swing-Based VWAP:
Enable "Use VWAP" and configure the anchor period to suit your trading timeframe (e.g., Session, Week, Month).
The VWAP adapts dynamically to swings for precise insights.
Risk Management:
Adjust initial risk, multiplier, and drawdown limits under Risk Management settings.
Visual SL and TP boxes make it easy to monitor trade progress.
Alerts:
Enable "Pattern Alert" to receive notifications for detected patterns.
Use "Trade Alert" to get notified of potential entry opportunities.
Custom Inputs:
Customize "Lookback Bars for VPOC" to define how far back the indicator searches for volume data.
Modify "Row Size" and "POC Settings" for precise VPOC plotting.
Related Links:
Swing-Based VWAP
Intraday Predictive High-Volume Activity Sessions
Trade Settings:
Pattern Timeframe Input:
Select the timeframe used for detecting patterns (e.g., Chart, 15m, 1H).
Use: Helps identify patterns specific to the selected timeframe.
Bars to Entry:
Defines the number of bars within which a trade should be entered after a pattern is detected.
Use: Ensures timely entries based on identified patterns.
Plot Peak Profit:
Toggles the visualization of the peak profit level for trades.
Use: Helps monitor the maximum potential profit from a trade.
Use Close of Candle Above/Below Top/Bottom Line:
When enabled, the script uses the close of the candle instead of wicks to determine line breakouts.
Use: Ensures more precise break detection for pattern confirmation.
Pattern VPOC Settings:
Lookback Bars for VPOC:
Specifies the number of bars to analyze for calculating the Volume Point of Control (VPOC).
Use: Adjusts the depth of data analyzed for VPOC determination.
Row Size:
Determines the granularity of VPOC calculations. Higher values result in finer divisions.
Use: Fine-tune VPOC plotting for greater precision.
Pattern VPOC Color:
Sets the color of the VPOC line on the chart.
Use: Customize chart aesthetics for better visibility.
Width:
Adjusts the thickness of the VPOC line.
Use: Makes the line more prominent on the chart.
Risk Management:
Initial Risk:
Specifies the base risk amount for each trade.
Use: Helps determine the trade size based on risk tolerance.
Risk Increment Type:
Selects whether risk increments are linear or exponential after consecutive losses.
Use: Adjusts risk dynamically to manage losses effectively.
Multiplier:
Multiplies the risk in exponential mode to calculate the next risk value after a loss.
Use: Defines the growth factor for exponential risk.
Max Drawdown:
Sets the maximum drawdown value before halting trading.
Use: Protects against significant capital depletion.
Initial Capital:
Specifies the starting capital for performance calculations.
Use: Helps measure performance and calculate drawdown percentages.
Alert Settings:
Trade Alert:
Enables alerts for detected trade setups.
Use: Keeps the user notified about potential trade opportunities.
Pattern Alert:
Enables alerts for detected patterns.
Use: Provides immediate notification when a pattern is identified.
Predictive Volume:
Use Predictive Volume:
Toggles the predictive volume modeling feature.
Use: Highlights projected high-volume periods for better timing.
Select Timeframe for Predictive Volume:
Defines the timeframe for predictive volume analysis.
Use: Allows predictive modeling to align with the user's trading style.
MA Average Periods:
Sets the moving average length for volume prediction.
Use: Smoother or more responsive predictive models based on user preference.
Date Range:
Specifies the historical range used for volume analysis.
Use: Limits the scope of volume data for calculations.
VWAP Settings:
Use VWAP:
Toggles the VWAP calculation and plotting.
Use: Tracks the average price weighted by volume to find key price levels.
Hide VWAP on 1D or Above:
Hides VWAP plots on daily or higher timeframes.
Use: Avoids clutter on charts with higher timeframes.
Anchor Period:
Sets the anchor period for VWAP calculation (e.g., Session, Week, Month).
Use: Aligns VWAP with the selected timeframe.
Source:
Defines the price source for VWAP calculation (default: hlc3).
Use: Adjusts VWAP based on the preferred price type.
Offset:
Adjusts the VWAP line's placement by the specified number of bars.
Use: Moves the VWAP line forward or backward for better visual alignment.
Swing Size:
Defines the sensitivity for detecting swing highs and lows in VWAP calculations.
Use: Refines VWAP calculations to match market swings.
Swing-Based VWAPSwing-Based VWAP
Summary:
The "Swing-Based VWAP" indicator enhances traditional VWAP calculations by incorporating swing-based logic. It dynamically adapts to market conditions by identifying key swing highs and lows and calculating VWAP levels around these pivot points. This makes it a versatile tool for traders seeking actionable price insights.
Explanation:
What is Swing-Based VWAP?
The Swing-Based VWAP is a modified version of the Volume-Weighted Average Price (VWAP). It calculates VWAP not only for a chosen timeframe (e.g., session, week) but also adapts dynamically to market swings. By identifying swing highs and lows, it offers more precise levels for potential price action.
Unique Features:
1. Dynamic Swing Integration:
- Uses pivot points to determine significant price levels.
- Calculates VWAP based on these points to adapt to market trends.
2. User-Friendly Settings:
- Includes options to hide VWAP on higher timeframes for chart clarity.
- Flexible swing size input for adjusting sensitivity.
How to Use:
1. Configuring Swing Settings:
- Use the "Swing Setting" input to determine the sensitivity of swing detection.
- Higher values identify broader swings, while smaller values capture more granular movements.
2. Enabling/Disabling VWAP:
- Toggle VWAP visibility using the "Use VWAP" option.
- The "Hide VWAP on 1D or Above" setting lets you control visibility on higher timeframes.
3. Anchor Period:
- Select your preferred anchoring period (e.g., session, week) to match your trading style.
4. Adjusting the Data Source:
- Use the "Source" input to select the price source (default: HLC3).
5. Visualizing Swing-Based VWAP:
- The script plots a dynamic VWAP line based on detected swing points.
- This line highlights average price levels weighted by volume and swing pivots.
Directional Volume IndexDirectional Volume Index (DVI) (buying/selling pressure)
This index is adapted from the Directional Movement Index (DMI), but based on volume instead of price movements. The idea is to detect building directional volume indicating a growing amount of orders that will eventually cause the price to follow. (DVI is not displayed by default)
The rough algorithm for the Positive Directional Volume Index (green bar):
calculate the delta to the previous green bar's volume
if the delta is positive (growing buying pressure) add it to an SMA, else add 0 (also for red bars)
divide these average deltas by the average volume
the result is the Positive Directional Volume Index (DVI+) (vice versa for DVI-)
Differential Directional Volume Index (DDVI) (relative pressure)
Creating the difference of both Directional Volume Indexes (DVI+ - DVI-) creates the Differential Directional Volume Index (DDVI) with rising values indicating a growing buying pressure, falling values a growing selling pressure. (DDVI is displayed by default, smoothed by a custom moving average)
Average Directional Volume Index (ADVX) (pressure strength)
Putting the relative pressure (DDVI) in relation to the total pressure (DVI+ + DVI-) we can determine the strength and duration of the currently building volume change / trend. For the DMI/ADX usually 20 is an indicator for a strong trend, values above 50 suggesting exhaustion and approaching reversals. (ADVX is not displayed by default, smoothed by a custom moving average)
Divergences of the Differential Directional Volume Index (DDVI) (imbalances)
By detecting divergences we can detect situations where e.g. bullish volume starts to build while price is in a downtrend, suggesting that there is growing buying pressure indicating an imminent bullish pullback/order block or reversal. (strong and hidden divergences are displayed by default)
Divergences Overview:
strong bull: higher lows on volume, lower lows on price
medium bull: higher lows on volume, equal lows on price
weak bull: equal lows on volume, lower lows on price
hidden bull: lower lows on volume, higher lows on price
strong bear: lower highs on volume, higher highs on price
medium bear: lower highs on volume, equal highs on price
weak bear: equal highs on volume, higher highs on price
hidden bear: higher highs on volume, lower highs on price
DDVI Bands (dynamic overbought/oversold levels)
Using Bollinger Bands with DDVI as source we receive an averaged relative pressure with stdev band offsets. This can be used as dynamic overbought/oversold levels indicating reversals on sharp crossovers.
Alerts
As of now there are no alerts built in, but all internal data is exposed via plot and plotshape functions, so it can be used for custom crossover conditions in the alert dialog. This is still a personal research project, so if you find good setups, please let me know.
Enhanced Effort vs Result Analysis V.2How to Use in Trading
A. Confirm Breakouts
Check if the Effort-Result Ratio or Z-Score spikes above the Upper Band or Z > +2:
Suggests a strong, efficient price move.
Supports breakout continuation.
B. Identify Reversal or Exhaustion
Look for Effort-Result Ratio or Z-Score dropping below the Lower Band or Z < -2:
Indicates high effort but low price movement (inefficiency).
Often signals potential trend reversal or consolidation.
C. Assess Efficiency of Trends
Use Relative Efficiency Index (REI):
REI near 1 during a trend → Confirms strength (efficient movement).
REI near 0 → Weak or inefficient movement, likely signaling exhaustion.
D. Evaluate Volume-Price Relationship
Monitor the Volume-Price Correlation:
Positive correlation (+1): Confirms price is driven by volume.
Negative correlation (-1): Indicates divergence; price moves independently of volume (potential warning signal).
3. Example Scenarios
Scenario 1: Breakout Confirmation
Effort-Result Ratio spikes above the Upper Band.
Z-Score exceeds +2.
REI approaches 1.
Volume-Price Correlation is positive (near +1).
Action: Strong breakout confirmation → Trend continuation likely.
Scenario 2: Reversal or Exhaustion
Effort-Result Ratio drops below the Lower Band.
Z-Score is below -2.
REI approaches 0.
Volume-Price Correlation weakens or turns negative.
Action: Signals trend exhaustion → Watch for reversal or consolidation.
Scenario 3: Range-Bound Market
Effort-Result Ratio stays within the Bollinger Bands.
Z-Score remains between -1 and +1.
REI fluctuates around 0.5 (neutral efficiency).
Volume-Price Correlation hovers near 0.
Action: Normal conditions → Look for breakout signals before acting.
*IMPORTANT*
There is a problem with the overlay ... How to fix some of it
The Standard Deviation bands dont work while the other variable activated so Id suggest deselecting them. The fix for this is to make sure you have the background selected and by doing this it will highlight on the chart ( you may need to increase the opacity ) when the bands ( Second standard deviation) are touched.
- Also you can use them all at once if you can but you do not need to
Real-Time HTF Volume Footprint [BigBeluga]Real-time HTF Volume Footprint Profile is designed to provide a comprehensive view of higher timeframe volume profiles on your current chart. It overlays critical volume information from larger timeframes (like daily, weekly, or monthly) onto lower timeframe charts, helping you spot significant levels where volume is concentrated, acting as potential support or resistance.
🔵 Key Features:
HTF High and Low Zones: The indicator highlights the high and low of the chosen higher timeframe with clear zones, marking them with boxes. These zones help you see the broader market structure at a glance.
Volume Profile within HTF Range: Each higher timeframe range displays a volume profile, showing the distribution of volume at each price level. The most-traded price is highlighted in blue, known as the Point of Control (POC), indicating the price level with the highest activity.
Dynamic POC Option: Activate Dynamic POC to observe how the Point of Control shifts over time, giving insight into changing market interests and potential price direction.
Timeframe Flexibility: Select from daily, weekly, and monthly ranges (and more) to overlay their footprint profiles on your lower timeframe chart. This helps you tailor the indicator to the trading horizon that suits your strategy.
Info Table: Table shows a traders which timeframe is selected with last high and low of the selected timeframe
Visual Clarity with Custom Colors: The indicator uses subtle fills and distinct colors to ensure volume profile data integrates seamlessly into your chart without overwhelming other indicators or price data.
🔵 When to Use:
The HTF Volume Footprint Profile is essential for traders who want to bridge the gap between high-timeframe and intraday analysis. By visualizing HTF volume distribution on lower timeframes, this tool helps you:
Spot potential liquidity zones where price might react.
Identify support and resistance levels within HTF ranges.
Monitor PoC shifts that indicate changes in market behavior.
Track how current price aligns with significant volume clusters, providing a clear edge for volume-based strategies.
This indicator empowers traders to analyze lower timeframes with the context of higher timeframe volume profiles, providing a solid basis for identifying critical support and resistance levels shaped by large volume clusters. Whether you’re looking to spot liquidity zones or align your trades with broader market trends, HTF Volume Footprint Profile equips you with a strategic view.
FuTech : IPO Lock-in Ends FuTech: Lock-in Ends - First ever unique Indicator on the TradingView platform
Hello Everyone !
Introducing the first-ever unique indicator on the TradingView platform to track the lock-in period expiry dates for IPOs.
The FuTech Lock-in Ends Indicator is specifically designed to assist traders and investors in identifying the key dates when lock-in periods for IPO shares come to an end.
This provides an edge in preparing for potential market movements driven by buying or selling pressures associated with significant share volumes.
=============================================================
Key Features:
1. Tracks Multiple Lock-in Periods:
- Identifies dates when the 30 days, 90 days, 6 months, and 18 months lock-in periods for IPO shares expire.
- Helps traders anticipate potential market action driven by share releases.
2. IPO Lock-in Ends dates as per Compliance with SEBI Guidelines:
- SEBI (Securities and Exchange Board of India) mandates lock-in periods for IPO shares based on investor categories:
- A) Promoters:
- Lock-in period reduced to 18 months for up to 20% of post-issue paid-up capital (previously 3 years).
- For shareholding exceeding 20%, the lock-in period is further reduced to 6 months (previously 1 year).
- B) Anchor Investors:
- 50% of allotted shares: Lock-in period of 90 days from the date of allotment.
- Remaining 50% of shares: Lock-in period of 30 days from the date of allotment.
- C) Non-promoters:
- Lock-in period reduced to 6 months (previously 1 year).
After these lock-in periods end, investors may buy / sell their shares, which can result in significant market activity.
3. Visual Indicator on Charts:
- The indicator draws vertical lines on the TradingView chart at the respective lock-in expiry dates.
- Alerts users in advance about potential market activity due to the release of locked shares.
- Traders can use these alerts to prepare for positions or adjust their existing holdings accordingly.
4. Customizable Settings:
- Users can modify the color of the labels and width of the lines to suit their preferences and enhance chart visibility.
5. User-defined Allotment Dates:
- If the allotment date is known, users can input this information directly. The indicator will then calculate the lock-in period dates based on the provided allotment date, ensuring precise results.
- If no allotment date is entered, the default calculation assumes the allotment date to be three trading days prior to the listing date .
=============================================================
Important Notes:
- Allotment Date Calculation:
- In the absence of user-defined allotment dates, the indicator estimates the allotment date as three trading days prior to the listing date .
- This approximation may deviate by one to two days from the actual event for certain IPOs.
- Proactive Alerts:
- Most dates are intentionally marked 1-2 days in advance to give traders sufficient time to act, whether for taking new positions or squaring off existing ones to avoid unfavorable losses.
=============================================================
The FuTech Lock-in Ends Indicator is a must-have tool for IPO traders and investors looking to stay ahead of market movements. Use it to track key dates and plan your trading strategy effectively with FuTech : Chart is Art.
=============================================================
Thank you !
Jai Swaminarayan Dasna Das !
He Hari ! Bas Ek Tu Raji Tha !
Relative Price Position Flow (RPPF)Market work by short and long players positions. By commodities, players buy or sell positions based in market expectations. The volume of negotiations defines the optimum point to buy or sell. It means how much more volume in a price line, much of the players thinking this is the real value. So, in this indicator I calculate the volume of trades for some price line. And divide it to the total volume, to define whats the historical price line optimum. The diference between the actual price to the historical optimum trade, define some directions of the market. Some times the price is bigger, and sometimes it is smaller.
By experience, after some times the price is deviated to the flow price, it will search a compensation, starting a reversion movement.
Intraday Volume### Intraday Volume Indicator Explanation
--- this was Mostly created by OpenAI ChatGPT --- it's pretty good!
--- My Commentary: One of the problems I find is with Volume is - it is skewed by the overwhelming volume around the Open and Close. So, as an experiment, I asked ChatGPT to create an indicator to plot the volume everywhere BUT the open.
I added in the CandleColor() function and set the times.
I also changed the Intraday Volume calculation from Cumulative to live.
still Chat GPT - did about 90% of the heavy lift! And, wrote the summary !
----
The "Intraday Volume" indicator is a custom script designed for use on the TradingView platform. It provides a visual representation of the total accumulated trading volume during the intraday trading session, specifically between the market open and close times. Below is a detailed explanation of its functionality:
#### **Key Features:**
1. **Session Times:**
- The indicator defines the intraday session as the period between 9:30 AM EST (market open) and 4:00 PM EST (market close).
- It uses the `timestamp` function to set these times dynamically for each trading day.
2. **Intraday Volume Calculation:**
- During the defined intraday session, the indicator accumulates the trading volume from each bar (candlestick).
- Outside the intraday session, the volume is reset to `na` (not available) to ensure only intraday data is plotted.
3. **Plotting the Volume:**
- The accumulated intraday volume is plotted as a blue column chart in a separate pane below the price chart.
- This provides a clear visualization of how the trading volume evolves throughout the trading session.
4. **Horizontal Reference Line:**
- A horizontal line is added at zero as a visual reference, making it easier to interpret the volume data.
#### **Use Cases:**
- **Volume Analysis:**
- Traders can use the indicator to identify periods of high or low trading activity during the intraday session.
- Peaks in the volume chart may correspond to key market events, such as news releases or significant price movements.
- **Trend Confirmation:**
- Comparing intraday volume with price action can help traders confirm the strength of a trend or the likelihood of a reversal.
- **Custom Time Frames:**
- Although this script is tailored for regular U.S. market hours, it can be adapted for other markets or time zones by modifying the session times.
#### **Customization:**
- **Colors and Styles:**
- The plot color (blue) and style (columns) can be customized to suit user preferences.
- **Session Times:**
- Users can change the session start and end times to match their trading needs or regional market hours.
This indicator is especially useful for intraday traders seeking insights into trading volume dynamics within the trading day. By visualizing the intraday volume, traders can gain a deeper understanding of market behavior and make informed decisions.
VWAP Direction HistogramThe ** VWAP Direction Histogram ** indicator is a powerful tool for traders looking to gauge the directional bias of the Volume Weighted Average Price (VWAP). VWAP is a critical metric that combines price and volume to provide a weighted average price, often used to identify institutional trading activity and support/resistance levels. This indicator builds upon the traditional VWAP by calculating its directional changes over a customizable lookback period, providing clear visual cues to traders through a color-coded histogram.
By identifying whether VWAP is rising or falling over the specified lookback period, this indicator helps traders determine the prevailing trend bias in the market. A positive VWAP direction suggests upward momentum and a bullish trend bias, while a negative direction indicates downward momentum and bearish sentiment. This information is further reinforced by coloring the chart candles based on the VWAP trend, enabling quick visual analysis and enhancing decision-making for trend-following strategies. Whether you're trading intraday or longer-term, the ** VWAP Direction Histogram ** offers an intuitive and effective way to align your trades with market trends.
Cumulative volume analysisAfter user define the ragion area. While break out the region area, you can try this indicator to notice when the power is ended and maybe reverse the trend.
1. The user enters the start time, and end time
2. The indicator will record the highest, lowest price, and cumulative amount during this period.
The cumulative amount is calculated by adding up the amount of each K bar, regardless of whether it rises or falls.
3. When the cumulative amount is reduced to less than or equal to 0, make a plotshape arrow
4.There are two diferent method to record the volume. Try the better way to different product.
Volume Bulls vs Bears (Improved)The "Volume Bulls vs Bears (Improved)" is a raw and powerful volume-based indicator for TradingView that visualizes market participation by separating volume into "bullish" and "bearish" components. It provides a clear and visually appealing stacked histogram alongside a moving average of total volume, helping traders identify trends in market participation.
Key Features
Bullish vs Bearish Volume Separation:
Bullish Volume: Represents the portion of volume contributed by buyers (when prices move up).
Bearish Volume: Represents the portion of volume contributed by sellers (when prices move down).
Volume is calculated based on price action within the range of the candle:
Bulls = ((Close - Low) / (High - Low)) * Total Volume
Bears = ((High - Close) / (High - Low)) * Total Volume
Stacked Histogram:
Bullish and bearish volumes are plotted as a stacked histogram.
Bull Color: Green (default).
Bear Color: Red (default).
This makes it easy to spot shifts in volume dominance between bulls and bears.
Volume SMA:
A Simple Moving Average (SMA) of total volume over a user-defined period helps smooth out fluctuations and shows overall volume trends.
Default period is 20 bars.
SMA Line: Yellow (default), adjustable in width.
User-Customizable Inputs:
Volume SMA Period: Adjust the lookback period for the moving average.
Bull/Bear Colors: Customizable histogram colors.
SMA Line Color and Width: Allows flexibility for better chart aesthetics.
Non-Overlapping Visuals:
The histogram avoids overlap, ensuring clarity by visually stacking bullish and bearish volumes.
How to Use the Indicator
Identify Bullish Volume Dominance:
If the green (bullish) volume bars are larger, it indicates stronger buying pressure within the candle range.
Identify Bearish Volume Dominance:
If the red (bearish) volume bars are larger, it signals stronger selling pressure.
Volume Trend:
Use the Volume SMA line to identify whether overall volume is increasing, decreasing, or staying stable. Rising volume typically strengthens trends, while declining volume can indicate weakness.
Use Cases
Spotting volume trends that confirm price movements (e.g., rising prices with rising bullish volume).
Recognizing potential reversals when bearish volume starts dominating previously bullish candles.
Identifying accumulation or distribution phases by analyzing volume behavior.
Conclusion
This "Volume Bulls vs Bears (Improved)" indicator provides traders with deeper insights into market participation. Its raw, no-frills design offers clear visuals to help assess bullish and bearish volume dynamics with an additional smoothing component through the SMA. It’s an essential tool for volume-focused traders looking to confirm trends or anticipate reversals.
Adaptive Volatility-Scaled Oscillator [AVSO] (Zeiierman)█ Overview
The Adaptive Volatility-Scaled Oscillator (AVSO) is a dynamic trading indicator that measures and visualizes volatility-adjusted market behavior. By scaling various metrics (such as volume, price changes, standard deviation, ATR, and Yang-Zhang volatility) and applying adaptive smoothing, AVSO helps traders identify market conditions where volatility deviates significantly from the norm.
This indicator uses standardized scaling (Z-Score logic) to highlight periods of abnormally high or low volatility relative to recent history. With gradient coloring and clear volatility zones, AVSO provides a visually intuitive way to analyze market volatility and adapt trading strategies accordingly.
█ How It Works
⚪ Scaling Metrics: The indicator scales user-selected metrics (e.g., volume, ATR, standard deviation) relative to the market and price, providing a standardized volatility measure.
⚪ Z-Score Standardization: The scaled metric is normalized using a Z-Score to measure how far current volatility deviates from its recent mean.
Positive Z-Score: Above-average volatility.
Negative Z-Score: Below-average volatility.
⚪ Adaptive Smoothing: An Adaptive EMA smooths the Z-Score, dynamically adjusting its length based on the strength of the volatility. Stronger deviations result in shorter smoothing, increasing responsiveness.
█ Unique Feature: Yang-Zhang Volatility
The Yang-Zhang volatility estimator sets this indicator apart by providing a more robust and accurate measure of volatility compared to traditional methods like ATR or standard deviation.
⚪ What Makes Yang-Zhang Volatility Unique?
Comprehensive Calculation: It combines overnight price gaps (log returns from the previous close to the current open) and intraday price movements (high, low, and close).
Accurate for Gapped Markets: Traditional volatility measures can misrepresent price movement when significant gaps occur between sessions. Yang-Zhang accounts for these gaps, making it highly reliable for assets prone to overnight price jumps, such as stocks, cryptocurrencies, and futures.
Adaptable to Real Market Conditions : By including both close-to-open returns and intraday volatility, it provides a balanced and adaptive measure that captures the full volatility picture.
⚪ Why This Matters to Traders
Better Volatility Insights: Yang-Zhang offers a clearer view of true market volatility, especially in markets with price gaps or uneven trading sessions.
Improved Trade Timing: By identifying volatility spikes and calm periods more effectively, traders can time their entries and exits with greater confidence.
█ How to Use
Identify High and Low Volatility
A high Z-Score (>2) indicates significant market volatility. This can signal momentum-driven moves, breakouts, or areas of increased risk.
A low Z-Score (<-2) suggests low volatility or a calm market environment. This often occurs before a potential breakout or reversal.
Trade Signals
High Volatility Zones (background highlight): Monitor for potential breakouts, trend continuations, or reversals.
Low Volatility Zones: Anticipate range-bound conditions or upcoming volatility spikes.
█ Settings
Source: Select the price source for scaling calculations (close, high, low, open).
Metric Measure: Choose the volatility measure:
Volume: Scales raw volume.
Close: Uses closing price changes.
Standard Deviation: Price dispersion.
ATR: Average True Range.
Yang: Yang-Zhang volatility estimate.
Bars to Analyze: Number of historical bars used to calculate the mean and standard deviation of the scaled metric.
ATR / Standard Deviation Period: Lookback period for ATR or Standard Deviation calculation.
Yang Volatility Period: Period for the Yang-Zhang volatility estimator.
Smoothing Period: Base smoothing length for the adaptive smoothing line.
-----------------
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!
Holding Volume StrengthHolding Volume Strength Indicator
1. Overview :
The Holding Volume Strength indicator is designed to measure the buying and selling volume based on price action (bullish vs. bearish candles) over a user-defined lookback period. This indicator helps traders gauge the strength of market participants' involvement (buyers vs. sellers) during a specific time frame.
2. Key Inputs :
- Lookback Period : The period over which you want to calculate the Buy and Sell volumes. For example, a lookback of 5 will calculate the volume for the current candle and the previous candle , while a lookback of 10 will consider the current candle and the 9 preceding candles.
- Text Color : This allows customization of the label's text color for better visibility and style.
3. Volume Calculation :
- Buy Volume : If the close price of a candle is greater than its open price (bullish candle), the body size (difference between open and close) is multiplied by the volume for that candle to calculate the buy volume. This represents the market's buying strength.
- Sell Volume : If the close price of a candle is less than its open price (bearish candle), the body size is multiplied by the volume for that candle to calculate the sell volume. This represents the market's selling strength.
4. Volume Display :
The Buy and Sell Volumes are displayed in a readable format, such as:
- Buy Volume: "1.5M" (1.5 million)
- Sell Volume: "500K" (500 thousand)
These values can help identify whether buying or selling is more dominant over a specified period.
5. Label Display :
The calculated Buy and Sell volumes are shown as labels on the main price chart (overlay). These labels dynamically update with each new candle and show the values for the current candle and the previous `n` candles (based on the lookback period).
---
How This Indicator Helps in Making Buy/Sell Decisions :
1. Volume Analysis :
- High Buy Volume : A significant amount of buying volume can indicate strong market interest in the asset, suggesting potential upward momentum. If the market is in a bullish trend (e.g., after a series of green candles), and you see increasing buy volume, this might indicate that buyers are in control , making it a potential signal to buy .
- High Sell Volume : On the other hand, a significant amount of selling volume, particularly after a series of bullish candles, can signal that sellers are taking control of the market, which could indicate bearish pressure . If you observe increasing sell volume, it might be a potential signal to sell or to short the asset.
2. Volume Confirmation :
- Volume is often used to confirm price movements . For example, if the price breaks above a resistance level with strong buy volume , it suggests that the breakout is likely genuine and not a false move. Similarly, if the price drops below a support level with strong sell volume , it could signal that the breakout is real and the downtrend is continuing.
3. Divergence Analysis :
- Volume divergence occurs when price makes a new high or low but volume doesn't confirm it. For instance:
- If price makes a new high but the buy volume does not increase (or even decreases), it could signal a weak trend or potential reversal.
- Similarly, if price makes a new low but sell volume is weak, it might suggest the downtrend is losing steam and could reverse.
4. Buy/Sell Signal Strategy :
- Buy Signal : A potential buy signal might occur when you see a bullish candle with increased buy volume (especially if the buy volume is higher than the sell volume) during an uptrend or near a support level.
- Sell Signal : A potential sell signal might occur when you see a bearish candle with increased sell volume (especially if the sell volume is higher than the buy volume) during a downtrend or near a resistance level.
You could also combine this with other technical indicators (like Moving Averages, RSI, etc.) to form a more robust trading strategy.
---
Example of How It Works in Practice :
- Scenario 1 (Bullish) :
- You're trading a stock or cryptocurrency, and you have the Holding Volume Strength indicator plotted.
- Over the past 10 candles, you notice a bullish trend where the price is rising.
- On the current candle, you see a strong buy volume value, indicating that buyers are in control .
- Given that the buy volume is higher than the sell volume , this might reinforce the bullish trend , and you could consider buying or entering a long position .
- Scenario 2 (Bearish) :
- You're analyzing the same asset, but this time, the price is in a downtrend .
- You notice that a recent bearish candle has a strong sell volume , suggesting sellers are dominating .
- If this sell volume is higher than the buy volume, it could indicate that the downtrend is likely to continue , and you might consider selling or entering a short position .
---
Why Volume Matters :
- Volume precedes price : Volume is often considered a leading indicator, as changes in volume can signal future price movements . For example, a sudden increase in buy volume often precedes upward price movement, while a sudden increase in sell volume often precedes downward price movement.
- Volume confirms trends : Volume helps confirm trends. A price move accompanied by high volume is typically more reliable , while a price move with low volume might be a false signal or less likely to sustain itself.
---
Conclusion :
The Holding Volume Strength indicator helps traders understand the market sentiment (buyers vs. sellers) by showing the cumulative buying and selling volume over a specified period. By examining the buy and sell volumes, traders can make more informed decisions about when to buy, sell, or hold based on market strength.
This volume analysis is essential because it allows traders to understand how strong the price movement is and whether it is likely to continue or reverse. By incorporating volume analysis with other indicators or chart patterns, traders can improve the accuracy of their trading signals and reduce risk.
Sell Signal - William O'Neil's Rule VisualizationThis indicator might be helpful for traders looking to visualize William O’Neil’s sell condition, a well-known concept in his trading strategies. A sell signal is triggered when:
1. Volume increases compared to the previous day.
2. The price drops by a user-defined percentage (default: 0.2% or more).
The indicator highlights the background for bars meeting these conditions and adds a subtle circle above them. You can adjust the drop rate in the settings to match your preferences.
It could serve as a useful tool for identifying potential distribution days or profit-taking signals, helping traders manage risk during market pullbacks.
このインジケーターは、ウィリアム・オニールの売り抜け条件を可視化したもので、トレーダーの皆さんに役立つかもしれません。シグナルは次の条件を満たすと発生します:
1. 出来高が前日より増加している。
2. 価格がユーザー指定の割合(デフォルトは0.2%以上)で下落している。
条件を満たしたバーには背景色が付き、控えめな丸印が表示されます。設定で下落率を自由に調整することもできます。
このツールは、分配日や利益確定のシグナルを特定するのに役立つかもしれません。市場の調整局面でのリスク管理にご活用ください。
Bondar Drive v2.1Title: Bondar Drive v2.1 — Real-time print and delta tick volume visualization
Description:
Bondar Drive v2.1 is a tool for visualizing real-time order flow data. It highlights price movements and volume deltas in an intuitive, easy-to-read format. Indicator can be used in conjunction with the Anchored Volume Profile and Volume Footprint (Type: Total).
Features:
Real-Time Print Visualization:
Displays order flow prints with delta colors for buy/sell dominance.
Adjustable size and transparency for varying order thresholds.
Volume Delta Analysis:
Categorizes orders into Tiny, Small, Session, Large, and Huge based on user-defined thresholds.
Provides a tooltip showing order time and price.
Customizable Time Range:
Keeps prints visible for a specified duration (in seconds).
Flexible User Inputs:
Adjustable time zones, print sizes, starting bar index, and volume thresholds.
Visual Enhancements:
Line connections between prints show progression of orders and market direction.
How It Works:
The indicator gathers volume delta and price data in real time.
It dynamically displays circular labels with varying sizes and colors, reflecting the size and type of orders. Labels and lines are automatically removed after the specified time range, ensuring a clean and uncluttered chart.
Customization Options:
Number of Prints: Control how many prints are displayed.
Order Size Filters: Exclude small trades to highlight significant orders.
Color Options: Customize print colors, text, and connecting lines.
Time Offset: Adjust for your local time zone.
Use Cases:
Identify order flow imbalances and price levels dominated by buyers or sellers.
Track the progression of large orders for better trade execution.
Spot market reversals and momentum shifts using real-time prints and delta.
Volume-MACD-RSI Integrated StrategyDescription:
This script integrates three well-known technical analysis tools—Volume, MACD, and RSI—into a single signal meant to help traders identify potential turning points under strong market conditions.
Concept Overview:
Volume Filter: We compare the current bar’s volume to a 20-period volume average and require it to exceed a specified multiplier. This ensures that signals occur only during periods of heightened market participation. The logic is that moves on low volume are less reliable, so we wait for increased activity to confirm potential trend changes.
MACD Momentum Shift:
We incorporate MACD crossovers to determine when momentum is changing direction. MACD is a popular momentum indicator that identifies shifts in trend by comparing short-term and long-term EMAs. A bullish crossover (MACD line crossing above the signal line) may suggest upward momentum is building, while a bearish crossunder can indicate momentum turning downward.
RSI Market Condition Check:
RSI helps us identify overbought or oversold conditions. By requiring that RSI be oversold on buy signals and overbought on sell signals, we attempt to pinpoint entries where price could be at an extreme. The idea is to position entries or exits at junctures where price may be due for a reversal.
How the Script Works Together:
Volume Confirmation: No signals fire unless there’s strong volume. This reduces false positives.
MACD Momentum Check: Once volume confirms market interest, MACD crossover events serve as a trigger to initiate consideration of a trade signal.
RSI Condition: Finally, RSI determines whether the market is at an extreme. This final layer helps ensure we only act on signals that have both momentum shift and a price at an extreme level, potentially increasing the reliability of signals.
Intended Use:
This script can help highlight potential reversal points or trend shifts during active market periods.
Traders can use these signals as a starting point for deeper analysis. For instance, a “BUY” arrow may prompt a trader to investigate the market context, confirm with other methods, or look for patterns that further support a long entry.
The script is best used on markets with reliable volume data, such as stocks or futures, and can be experimented with across different timeframes. Adjusting the RSI thresholds, MACD parameters, and volume multiplier can help tailor it to specific instruments or trading styles.
Chart Setup:
When adding this script to your chart, it should be the only indicator present, so you can clearly see the red “BUY” arrows and green “SELL” arrows at the candle closes where signals occur.
The chart should be kept clean and uncluttered for clarity. No other indicators are necessary since the logic is already integrated into this single script.
Options Series - Anchored VWAP Ribbon➤ AVWAP On different chart symbols:
⭐ Overview and Key Features:
Anchored VWAP Calculation:
The script implements the Anchored Volume Weighted Average Price (AVWAP), a tool used by professional traders to identify key price levels weighted by volume, starting from a specific timestamp (anchor point).
Bullish and Bearish Analysis:
It determines the dominance of bullish or bearish momentum based on the relationship between the close price and AVWAP levels across multiple time points.
Dynamic Visualization:
The background of the chart changes color based on overall bullish or bearish sentiment, making it easier to interpret market trends.
Multi-Time Anchors:
By defining multiple anchor points (e.g., 09:15, 09:20), the script calculates a series of AVWAP values for fine-grained intraday analysis.
Customizable Inputs:
Users can select the source price (e.g., hlc3), date, and time for AVWAP calculation.
⭐ How It Works and Functionality:
AVWAP Logic:
Uses the timestamp() function to establish a reference (anchor point).
Calculates the cumulative weighted price (price * volume) and cumulative volume from this anchor point.
The ratio of these sums gives the AVWAP, which updates dynamically with new bars.
Bullish and Bearish Signals:
Binary flags (1 or 0) are set for each time point depending on whether the closing price is above or below the AVWAP for that time.
Aggregates these flags into AVWAP_bull and AVWAP_bear to represent the overall market sentiment.
Decision Logic:
Determines final market conditions (bullish or bearish dominance) based on aggregated scores.
Visual feedback (background and bar colors) is applied accordingly.
⭐ Visualizations and User Experience:
Background Colors:
Green or red background highlights the overall sentiment (bullish or bearish), providing a quick market overview.
Bar Coloring:
Bars are color-coded based on bullish, bearish, or neutral conditions, making it easier to identify trends directly on the chart.
AVWAP Levels:
The calculated AVWAP values are plotted as colored lines for each anchor point, giving precise intraday levels of significance.
Bright colors (fluorescent green/red) are used for additional clarity when the close price is above or below these levels.
🎨 Settings and Customization:
Anchor Point:
Fully customizable anchor points allow users to set specific dates and times (e.g., 09:15 on December 13, 2024) for AVWAP calculations.
Source Price:
Users can choose from hlc3, close, or any other price source to calculate the AVWAP, tailoring the indicator to their strategy.
Visual Appearance:
The transparency, colors, and line styles are adjustable, enabling users to customize the chart to match their trading preferences.
Dynamic Signals:
The script accommodates numerous AVWAP levels, providing flexibility for scalpers and swing traders alike.
⭐ Uniqueness of the Concept:
Precise Intraday Analysis:
Unlike static VWAP, this script allows anchoring to specific times during the day, offering granular insights into market behavior.
Cumulative Sentiment Approach:
Aggregates signals across multiple time intervals, providing a comprehensive view of intraday momentum rather than a single-point reference.
Blending AVWAP with Visual Feedback:
Combines traditional AVWAP calculations with visually impactful features like background shading and bar coloring to enhance decision-making.
Scalability:
Supports adding multiple additional anchor points and customization for broader applicability in different market conditions.
🚀 Conclusion:
The Anchored VWAP Ribbon script is a powerful tool for traders seeking to analyze price behavior relative to volume-weighted levels anchored at specific times. It provides a visually intuitive way to assess intraday market sentiment, combining traditional technical indicators with customizable visualization features. The script’s flexibility makes it suitable for a variety of trading styles, from scalping to swing trading, while its unique cumulative sentiment logic sets it apart from conventional VWAP tools.
High Volume BarsThis indicator highlights the highest volume bullish and bearish bars within a specified lookback period. It provides a visual representation of significant volume activity, which can be useful for identifying potential trend reversals or continuations.
Key Features:
Customizable lookback period to find highest volume bars
Lime-colored bars for bullish (up) volume
Fuchsia-colored bars for bearish (down) volume
Filled areas between high and low of highest volume bars
Easy-to-read visual cues for volume analysis
The indicator scans the specified number of previous bars to identify the highest volume bullish and bearish bars. It then colors these bars and draws filled areas to make them stand out on the chart. This can help traders quickly spot areas of significant buying or selling pressure.
Use this indicator to:
Identify potential support and resistance levels
Spot volume-based trend reversals
Confirm breakouts or breakdowns
Enhance your volume analysis in conjunction with price action
Adjust the lookback period to fine-tune the indicator's sensitivity to recent volume activity. A longer lookback period will identify more significant volume events, while a shorter period will be more responsive to recent changes.
Note: This indicator is best used in combination with other technical analysis tools and should not be relied upon solely for making trading decisions.
COIN/BTC Trend OscillatorThe COIN/BTC Trend Oscillator is a versatile tool designed to measure and visualize momentum divergences between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). It helps identify overbought and oversold conditions, while also highlighting potential trend reversals.
Key Features:
VWAP-Based Divergence Analysis:
• Tracks the difference between NASDAQ:COIN and CRYPTOCAP:BTC relative to their respective VWAPs.
• Highlights shifts in momentum between the two assets.
Normalized Oscillator:
• Uses ATR normalization to adapt to different volatility conditions.
• Displays momentum shifts on a standardized scale for better comparability.
Overbought and Oversold Conditions:
• Identifies extremes using customizable thresholds (default: ±80).
• Dynamic background colors for quick visual identification:
• Blue for overbought zones (potential sell).
• White for oversold zones (potential buy).
Rolling Highs and Lows Detection:
• Tracks turning points in the oscillator to identify possible trend reversals.
• Useful for spotting exhaustion or accumulation phases.
Use Case:
This indicator is ideal for trading Coinbase stock relative to Bitcoin’s momentum. It’s especially useful during strong market trends, helping traders time entries and exits based on extremes in relative performance.
Limitations:
• Performance may degrade in choppy or sideways markets.
• Assumes a strong correlation between NASDAQ:COIN and CRYPTOCAP:BTC , which may not hold during independent events.
Pro Tip: Use this oscillator with broader trend confirmation tools like moving averages or RSI to improve reliability. For macro strategies, consider combining with higher timeframes for alignment.
Cryptocurrency SentimentOverview
This script focuses on calculating and visualizing the sentiment difference between LONG positions and SHORT positions for a selected cryptocurrency pair on the Bitfinex exchange. It provides a clean and clear visual representation of the sentiment, helping traders analyze market behavior.
Key Features
Dynamic Symbol Selection:
The script automatically detects the cryptocurrency symbol from the chart (syminfo.basecurrency) and dynamically constructs the LONGS and SHORTS ticker symbols.
Works seamlessly for pairs like BTCUSD, ETHUSD, and others available on Bitfinex.
Sentiment Calculation:
The sentiment difference is calculated as:
Sentiment Difference=−1×(100− SHORTS/LONGS ×100)
LONGS : The total number of long positions.
SHORTS : The total number of short positions.
If SHORTS is 0, the value is safely skipped to avoid division errors.
Color Coding:
The script visually highlights the sentiment difference:
Green Line: Indicates that LONG positions are dominant (bullish sentiment).
Red Line: Indicates that SHORT positions are dominant (bearish sentiment).
Zero Reference Line:
A gray horizontal line at 0 helps users quickly identify the transition between bullish (above zero) and bearish (below zero) sentiment.
How It Works
Fetching Data:
The script uses request.security to fetch LONGS and SHORTS data at the current chart timeframe (timeframe.period) for the dynamically generated Bitfinex tickers.
Handling Data:
Missing or invalid data (NaN) is filtered out to prevent errors.
Extreme spikes or irregular values are safely avoided.
Visualization:
The sentiment difference is plotted with dynamic color coding:
Green when LONGS > SHORTS (bullish sentiment).
Red when SHORTS > LONGS (bearish sentiment).
Benefits
Market Sentiment Insight: Helps traders quickly identify if the market is leaning towards bullish or bearish sentiment based on actual LONG and SHORT position data.
Dynamic and Adaptive: Automatically adjusts to the selected cryptocurrency symbol on the chart.
Clean Visualization: Focuses solely on sentiment difference with color-coded signals, making it easy to interpret.
Best Use Cases
Trend Confirmation: Use the sentiment difference to confirm trends during bullish or bearish moves.
Market Reversals: Identify potential reversals when sentiment shifts from positive (green) to negative (red) or vice versa.
Sentiment Monitoring: Monitor the overall market bias for cryptocurrencies like BTC, ETH, XRP, etc., in real-time.
Sample Chart Output
Above Zero → Green Line: Bullish sentiment dominates.
Below Zero → Red Line: Bearish sentiment dominates.
Zero Line → Transition point for shifts in sentiment.
Wave Surge [UAlgo]The "Wave Surge " is a comprehensive indicator designed to provide advanced wave pattern analysis for market trends and price movements. Built with customizable parameters, it caters to both beginner and advanced traders looking to improve their decision-making process.
This indicator utilizes wave-based calculations, adaptive thresholds, and volume analysis to detect and visualize key market signals. By integrating multiple analysis techniques.
It calculates waves for high, low, and close prices using a configurable moving average (EMA) technique and pairs it with volume and baseline analysis to confirm patterns. The result is a robust framework for identifying potential entry and exit points in the market.
🔶 Key Features
Wave-Based Analysis: This indicator computes waves using exponential moving averages (EMA) of high, low, and close prices, with an adjustable wave period to suit different market conditions.
Customizable Baseline: Traders can select from multiple baseline types, including VWMA (Volume-Weighted Moving Average), EMA, SMA (Simple Moving Average), and HMA (Hull Moving Average), for trend confirmation.
Adaptive Thresholds: The adaptive threshold feature dynamically adjusts sensitivity based on a chosen period, ensuring the indicator remains responsive to varying market volatility.
Volume Analysis: The integrated volume analysis calculates volume ratios and allows traders to enable or disable this feature to refine signal accuracy.
Pattern Recognition: The indicator identifies specific wave patterns (Wave 1, Wave 3, Wave 4, Wave 5, Wave 6) and visually plots them on the chart for easy interpretation.
Visual and Color-Coded Signals: Clear visual signals (upward and downward arrows) are plotted on the chart to highlight potential bullish or bearish patterns. The baseline is color-coded for an intuitive understanding of market trends.
Configuration: Parameters for wave period, baseline length, volume factors, and sensitivity can be tailored to align with the trader’s strategy and market environment.
🔶 Interpreting the Indicator
Wave Patterns
The indicator detects and plots six unique wave patterns based on price changes that exceed an adaptive threshold. These patterns are validated by the direction of the baseline:
Wave 1 (Bullish): Triggered when the price increases above the threshold while the baseline is falling.
Wave 3, 4, and 6 (Bearish): Indicate potential downtrends validated by a rising baseline.
Wave 5 (Bullish): Suggests upward momentum when prices exceed the threshold with a falling baseline.
Baseline Trend
The baseline serves as a trend confirmation tool, dynamically changing color to reflect market direction:
Aqua (Rising): Indicates an upward trend.
Red (Falling): Indicates a downward trend.
Volume Confirmation
When enabled, the volume analysis feature ensures that signals are supported by significant volume movements. Patterns with high volume are considered more reliable.
Signal Visualization
Upward Arrows (🡹): Highlight potential bullish opportunities.
Downward Arrows (🡻): Highlight potential bearish opportunities.
Alerts
Alerts are triggered when key wave patterns are identified, providing traders with timely notifications to take action without being tied to the screen.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.