Chaikin Oscillator with StdDev MarkersJust a Chaikin Oscillator slightly tuned to show extreme changes in A/D momentum.
- Red histogram means the fast EMA is way above the slow EMA (strong distribution).
- Green histogram means the fast EMA is way below the slow EMA (strong accumulation).
Divergences are also easy to identify. When the price pushes more than the histogram, hidden selling could be taking place near tops, and when the price drops but the histogram doesn't follow, accumulation could be taking place.
This, coupled with VSA analysis, is all you'll ever need to understand price action.
Volume
signal buy javad/time/15mThis indicator is designed to give a buy signal on a 15-minute time frame by specifying a profit limit and a loss limit.
Breadth of Volatility The Breadth of Volatility (BoV) is an indicator designed to help traders understand the activity and volatility of the market. It focuses on analyzing how fast prices are moving and how much trading volume is driving those movements. By combining these two factors—price speed and volume strength—the BoV provides a single value that reflects the current level of market activity. This can help traders identify when the market is particularly active or calm, which is useful for planning trading strategies.
The speed component of the BoV measures how quickly prices are moving compared to their recent average. This is done by using a metric called the Average True Range (ATR), which calculates the typical size of price movements over a specific period. The BoV compares the current price change to this average, showing whether the market is moving faster or slower than usual. Faster price movements generally indicate higher volatility, which might signal opportunities for active traders.
The strength component focuses on the role of trading volume in price changes. It multiplies the trading volume by the size of the price movement to create a value called volume strength. This value is then compared to the highest volume strength seen over a recent period, which helps gauge whether the current price action is being strongly supported by trading activity. When the strength value is high, it suggests that market participants are actively trading and supporting the price movement.
These two components—speed and strength—are averaged to calculate the Breadth of Volatility value. While the formula also includes a placeholder for a third component (related to fundamental analysis), it is currently inactive and does not influence the final value. The BoV is displayed as a line on a chart, with a zero line for reference. Positive BoV values indicate heightened market activity and volatility, while values near zero suggest a quieter market. This indicator is particularly helpful for new traders to monitor market conditions and adjust their strategies accordingly, whether they’re focusing on trend-following or waiting for calmer periods for more conservative trades.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Abnormal Delta Volume HistogramThis indicator can help traders spot potential turning points or heightened volatility and provides a dynamic measure of unusual market behavior by focusing on shifts in “delta volume.” Delta volume is approximated by assigning all of a bar’s volume to the bullish side if the close is higher than the open and to the bearish side if the close is lower. The result is a net volume measure that can hint at which side—buyers or sellers—has the upper hand. By comparing this delta volume to its historical averages and measuring how far current readings deviate in terms of standard deviations, the indicator can highlight bars that reflect significantly stronger than normal buying or selling pressure.
A histogram visualizes these delta volume values on a bar-by-bar basis, while additional reference lines for the mean and threshold boundaries allow traders to quickly identify abnormal conditions. When the histogram bars extend beyond the threshold lines, and are colored differently to signal abnormality, it can draw the trader’s eye to periods when market participation or sentiment may be shifting rapidly. This can be used as an early warning signal, prompting further investigation into price action, external news, or significant events that may be driving unusual volume patterns.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
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-Weighted Delta Strategy V1 [Kopottaja]Volume-Weighted Delta Strategy V1
Key Features:
Volume-Weighted Delta:
The strategy calculates a custom delta value based on the difference between the close and open prices, weighted by trading volume. This helps identify strong buying or selling activity.
ATR Channels:
The ATR channels are adjusted dynamically based on the delta value, which adds flexibility to the strategy by accounting for market volatility.
Moving Averages:
The strategy includes moving averages (SMA and EMA) for trend detection and signal confirmation. The 20-period EMA changes color based on the relationship between the delta value and its moving average.
Signal Logic:
Bullish Signals: Generated when the delta moving average crosses above the delta value, and the price crosses above the upper ATR band.
Bearish Signals: Generated when the delta moving average crosses below the delta value, and the price crosses below the lower ATR band.
Exit Conditions: Positions are closed based on reverse crossovers or specific ATR band thresholds.
Customizable Parameters:
Delta length, moving average length, ATR period, and volume thresholds are adjustable to suit various trading styles and instruments.
Optimized for Bitcoin on a 5-Minute Timeframe:
This strategy is particularly effective for trading Bitcoin on a 5-minute timeframe, where its sensitivity to volume and volatility helps capture short-term price movements and breakout opportunities.
Visual Outputs:
EMA plotted with dynamic colors indicating bullish (green) or bearish (red) conditions.
ATR channels (upper and lower bands) plotted in green to outline volatility zones.
Signals are logged in the strategy to automate buy/sell decisions.
This strategy is ideal for traders seeking to incorporate volume and volatility dynamics into their decision-making process, especially for short-term Bitcoin trading. It excels at identifying potential trend reversals and breakout opportunities in both trending and range-bound markets.
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.
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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 .
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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.
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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.
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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.
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.
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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!
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.
