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.
Trend Analysis
ENIGMA ENDGAME with Dynamic Trend-Based FibonacciOverview:
The *ENIGMA ENDGAME with Dynamic Trend-Based Fibonacci* indicator is designed for traders seeking precision in identifying high-probability trade opportunities based on dynamic Fibonacci retracement levels. By combining trend analysis, Fibonacci filtering, and session-based logic, this indicator provides actionable buy and sell signals with a strong foundation in technical analysis.
Features:
1. **Dynamic Trend-Based Fibonacci Levels:**
- Automatically calculates Fibonacci retracement levels based on the current market trend (uptrend or downtrend).
- Levels dynamically adjust to the latest swing high/low, providing an evolving view of key price areas.
2. **Customizable Fibonacci Levels:**
- Configure up to four Fibonacci levels (e.g., 50%, 61.8%, 72%, 99%) to tailor the indicator to your trading strategy.
- Default levels are pre-set but can be adjusted for unique market approaches.
3. **Kill Zones for Session Filtering:**
- Filters trades based on predefined trading sessions (London and US).
- Easily configurable to match your trading hours or preferences.
4. **Buy and Sell Signals:**
- **Buy Signals**: Triggered during uptrends when the price pulls back to Fibonacci support levels.
- **Sell Signals**: Triggered during downtrends when the price retraces to Fibonacci resistance levels.
- Signal shapes (green triangles for buys, red triangles for sells) make them visually clear on the chart.
5. **Customizable Historical Signals:**
- Control how many past signals are displayed to maintain a clean chart while tracking historical performance.
6. **Alerts for Trade Opportunities:**
- Alerts for buy and sell signals allow traders to stay informed even when away from the screen.
How to Use:
1. **Trend-Based Fibonacci Analysis:**
- Enable the indicator on any instrument and timeframe.
- Monitor the Fibonacci levels dynamically calculated based on the most recent market trend (uptrend/downtrend).
2. **Kill Zones for Sessions:**
- Adjust the London and US session times under the **Inputs** tab to match your trading style.
- Signals outside these sessions are filtered, reducing noise during low-liquidity periods.
3. **Fibonacci Level Configuration:**
- Modify the Fibonacci retracement levels (e.g., 50%, 61.8%, etc.) under **Inputs** to fit your specific strategy.
- Ensure levels align with your desired retracement/resistance zones for trades.
4. **Buy/Sell Signal Confirmation:**
- Look for buy signals (green triangles) during uptrends when the price retraces to dynamic Fibonacci support levels.
- Look for sell signals (red triangles) during downtrends when the price retraces to dynamic Fibonacci resistance levels.
5. Alerts:
- Configure alerts under **TradingView Alerts** to be notified of buy or sell opportunities in real time.
Inputs and Default Settings:
- **Kill Zones:**
- London Start Hour: 1 UTC
- London End Hour: 23 UTC
- US Start Hour: 8 UTC
- US End Hour: 23 UTC
- **Swing Lookback Period:** 6
- **Fibonacci Levels:**
- Level 1: 50% (default)
- Level 2: 61.8% (default)
- Level 3: 72% (default)
- Level 4: 99% (default)
- **Maximum Historical Signals:** 30
- **Lookback Periods for Confirmation:**
- Minimum: 3
- Maximum: 18
Best Practices:
- Use this indicator in combination with price action or other tools to confirm trade setups.
- Ensure your Fibonacci levels align with known key levels on higher timeframes for increased accuracy.
- Monitor session activity using the kill zones to avoid trades during low-volume periods.
TS Aggregated Median Absolute DeviationTS Aggregated Median Absolute Deviation (MAD) Indicator Explanation
Overview
The TS Aggregated Median Absolute Deviation (MAD) is a powerful indicator designed for traders looking for momentum-based strategies. By aggregating the Median Absolute Deviation (MAD) across multiple timeframes, it provides a comprehensive view of market dynamics. This indicator helps identify potential reversal points, overbought/oversold conditions, and general market trends by leveraging the concept of MAD, which measures price dispersion from the median.
Signal Generation:
Long Signal: Triggered when the price moves above the aggregated upper band
Short Signal: Triggered when the price moves below the aggregated red band
Alerts:
Real-time alerts are integrated to notify the user of long or short signals when confirmed:
Long Signal Alert: "TS MAD Flipped ⬆LONG⬆"
Short Signal Alert: "TS MAD Flipped ⬇Short⬇"
Optimization:
Adjust thresholds, MAD lengths, and multipliers for each timeframe to suit the specific asset and market conditions.
Experiment with enabling/disabling MAD components to focus on particular timeframes.
RDW Pivot DetectorThe RDW Pivot Detector is a versatile Pine Script indicator designed to identify and visualize pivot points in price action, enhancing traders' ability to spot potential reversals and continuation zones. This script includes dynamic support and resistance levels, giving traders a clearer understanding of market structure and trends.
Key Features:
Pivot Point Detection:
Identifies both regular and missed pivot points (highs and lows).
Displays labels for pivot highs (▼) and pivot lows (▲) with customizable colors and tooltips.
Missed pivots are marked with 👻 symbols for better clarity.
Dynamic Support & Resistance:
Tracks support and resistance levels using the lowest low and highest high within a user-defined lookback period.
Customizable Visualization:
Dashed lines for missed pivots, and solid lines for valid pivots.
Custom color options for both regular and missed pivots.
RS Rating (Relative Strength Filter):
Integrates a dummy RS rating to highlight buy signals based on user-defined thresholds.
How to Use:
Add to Chart:
Open TradingView and apply the script to your desired asset chart.
Setup Options:
Pivot Length: Adjust the sensitivity of pivot detection.
Display Preferences:
Toggle regular (▼, ▲) or missed (👻) pivots using the options in the settings menu.
Colors: Customize pivot label and line colors to suit your charting preferences.
Dynamic Levels:
Enable the dynamic support and resistance to monitor key price levels and adjust the "Lookback Period" to align with your trading strategy.
RS Rating Integration:
Use the RS rating filter for buy signal generation. Adjust the threshold (default is 40) to match your criteria for identifying strong stocks.
Interpret Signals:
Buy Signal: Triggered when RS Rating exceeds the user-defined threshold. Combine this with identified pivot lows (▲) for potential entry zones.
Sell Signal: Look for pivot highs (▼) near resistance levels to anticipate potential selling opportunities.
Recommendations:
Use the RDW Pivot Detector alongside other technical indicators for confirmation, such as moving averages or oscillators.
Test the settings on multiple timeframes and markets to find optimal parameters that align with your trading strategy.
Combine missed pivots and dynamic levels for trend-following or reversal strategies.
This script is a powerful tool for identifying key market levels and can be customized to fit any trading style!
Volume Profile / Fixed Range Strategy with RSI SMAThis strategy utilizes the volume profile of the past x number of bars.
The idea is that the majority of the time price is ranging, during this time the volume profile shows where the vast majority of trading occurs. The assumption is if price exceeds the 1st STD either upwards or downwards there is a good likelihood of a break to the upside.
This is then coupled with the RSI for confluence, once the RSI breaks above the mid-point(50) this indicates strong upward momentum.
Thus the system will go long if: Price is above 1st STD of the Volume Profile and RSI > 50
The system will go to cash if: Price has closed below the upper bound and the RSI < 50
RDW Pivot DetectorThe RDW Pivot Detector is a versatile Pine Script indicator designed to identify and visualize pivot points in price action, enhancing traders' ability to spot potential reversals and continuation zones. This script includes dynamic support and resistance levels, giving traders a clearer understanding of market structure and trends.
Key Features:
Pivot Point Detection:
Identifies both regular and missed pivot points (highs and lows).
Displays labels for pivot highs (▼) and pivot lows (▲) with customizable colors and tooltips.
Missed pivots are marked with 👻 symbols for better clarity.
Dynamic Support & Resistance:
Tracks support and resistance levels using the lowest low and highest high within a user-defined lookback period.
Customizable Visualization:
Dashed lines for missed pivots, and solid lines for valid pivots.
Custom color options for both regular and missed pivots.
RS Rating (Relative Strength Filter):
Integrates a dummy RS rating to highlight buy signals based on user-defined thresholds.
How to Use:
Add to Chart:
Open TradingView and apply the script to your desired asset chart.
Setup Options:
Pivot Length: Adjust the sensitivity of pivot detection.
Display Preferences:
Toggle regular (▼, ▲) or missed (👻) pivots using the options in the settings menu.
Colors: Customize pivot label and line colors to suit your charting preferences.
Dynamic Levels:
Enable the dynamic support and resistance to monitor key price levels and adjust the "Lookback Period" to align with your trading strategy.
RS Rating Integration:
Use the RS rating filter for buy signal generation. Adjust the threshold (default is 40) to match your criteria for identifying strong stocks.
Interpret Signals:
Buy Signal: Triggered when RS Rating exceeds the user-defined threshold. Combine this with identified pivot lows (▲) for potential entry zones.
Sell Signal: Look for pivot highs (▼) near resistance levels to anticipate potential selling opportunities.
Recommendations:
Use the RDW Pivot Detector alongside other technical indicators for confirmation, such as moving averages or oscillators.
Test the settings on multiple timeframes and markets to find optimal parameters that align with your trading strategy.
Combine missed pivots and dynamic levels for trend-following or reversal strategies.
This script is a powerful tool for identifying key market levels and can be customized to fit any trading style!
Market Flow Volatility Oscillator (AiBitcoinTrend)The Market Flow Volatility Oscillator (AiBitcoinTrend) is a cutting-edge technical analysis tool designed to evaluate and classify market volatility regimes. By leveraging Gaussian filtering and clustering techniques, this indicator provides traders with clear insights into periods of high and low volatility, helping them adapt their strategies to evolving market conditions. Built for precision and clarity, it combines advanced mathematical models with intuitive visual feedback to identify trends and volatility shifts effectively.
👽 How the Indicator Works
👾 Volatility Classification with Gaussian Filtering
The indicator detects volatility levels by applying Gaussian filters to the price series. Gaussian filters smooth out noise while preserving significant price movements. Traders can adjust the smoothing levels using sigma parameters, enabling greater flexibility:
Low Sigma: Emphasizes short-term volatility.
High Sigma: Captures broader trends with reduced sensitivity to small fluctuations.
👾 Clustering Algorithm for Regime Detection
The core of this indicator is its clustering model, which classifies market conditions into two distinct regimes:
Low Volatility Regime: Calm periods with reduced market activity.
High Volatility Regime: Intense periods with heightened price movements.
The clustering process works as follows:
A rolling window of data is analyzed to calculate the standard deviation of price returns.
Two cluster centers are initialized using the 25th and 75th percentiles of the data distribution.
Each price volatility value is assigned to the nearest cluster based on its distance to the centers.
The cluster centers are refined iteratively, providing an accurate and adaptive classification.
👾 Oscillator Generation with Slope R-Values
The indicator computes Gaussian filter slopes to generate oscillators that visualize trends:
Oscillator Low: Captures low-frequency market behavior.
Oscillator High: Tracks high-frequency, faster-changing trends.
The slope is measured using the R-value of the linear regression fit, scaled and adjusted for easier interpretation.
👽 Applications
👾 Trend Trading
When the oscillator rises above 0.5, it signals potential bullish momentum, while dips below 0.5 suggest bearish sentiment.
👾 Pullback Detection
When the oscillator peaks, especially in overbought or oversold zones, provide early warnings of potential reversals.
👽 Indicator Settings
👾 Oscillator Settings
Sigma Low/High: Controls the smoothness of the oscillators.
Smaller Values: React faster to price changes but introduce more noise.
Larger Values: Provide smoother signals with longer-term insights.
👾 Window Size and Refit Interval
Window Size: Defines the rolling period for cluster and volatility calculations.
Shorter windows: adapt faster to market changes.
Longer windows: produce stable, reliable classifications.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
@Naveen-Momentum BuyThis Indicator showing Buy/Sell signals.
RSI(14)>60 BUY and
Macd and RS(55)andRS(21)>Nifty also
Ema's
4 MAsThe 4 MAs indicator is a moving average crossover tool designed to identify market trends and provide potential entry and exit signals. By plotting four simple moving averages (SMAs) of different periods, this indicator helps traders understand both short-term and long-term market dynamics. It is particularly suited for trend-following strategies and can be applied across various timeframes, such as daily, hourly, or intraday charts.
Features:
1. Moving Average Visualization:
- Short-term Moving Averages (MA 5 and MA 10): Highlight short-term market fluctuations.
- Mid-term Moving Average (MA 15): Serves as a reference for medium-term trends.
- Long-term Moving Average (MA 30): Represents the broader market trend.
2. Trend Signal Detection:
- Bullish Signal: When the 5-period moving average crosses above the 30-period moving average (golden cross), a yellow upward arrow is displayed below the price bar, indicating a potential uptrend.
- Bearish Signal: When the 5-period moving average crosses below the 30-period moving average (death cross), a red downward arrow is displayed above the price bar, signaling a potential downtrend.
Key Advantages:
- Multi-timeframe Versatility: Works well on various timeframes, making it suitable for both short-term scalping and long-term trend analysis.
- Simple Visualization: Clear signals and trend identification through color-coded moving averages and signal arrows.
- Customizable: The SMA periods can be adjusted to align with the trader's preferred strategy or market conditions.
Zones by PACEEE (UTC)This code is designed to display vertical lines and labels on a trading chart at specified predefined times, all in UTC. The times to mark on the chart are provided in the predefinedTimes array (in HH:MM format), and each time is associated with a custom label from the lineNames array. The code calculates and plots vertical lines on the chart to mark these times, with the option to display a label above each line.
Times defined by PACE!!
Jalambi Paul modelKey Components
Inputs:
Window Length (window): The number of periods for calculating the rolling statistics. Default is set to 50.
Risk Percentage (risk_percentage): The percentage of capital risked per trade. Default is 1.0%.
Stop Loss and Take Profit Levels:
Stop Loss: Default is 2% of the entry price.
Take Profit: Default is 4% of the entry price.
Logarithmic Returns:
Calculates the logarithmic return of the price series using:
log_return
=
log
(
close
close
)
log_return=log(
close
close
)
This helps in normalizing price changes.
Rolling Statistics:
Mean (rolling_mean): Calculated over the rolling window using the Simple Moving Average (SMA).
Standard Deviation (rolling_std): Measured over the rolling window to understand volatility.
Shiryaev-Zhou Index (SZI):
The SZI is a standardized z-score:
SZI
=
log_return
−
rolling_mean
rolling_std
SZI=
rolling_std
log_return−rolling_mean
This metric is used to detect overbought or oversold conditions.
Signal Generation:
Buy Signal (long_signal): Triggered when SZI is below a fixed threshold (-2.0).
Sell Signal (short_signal): Triggered when SZI is above a fixed threshold (2.0).
Visuals on the Chart:
Buy signals are plotted below the price bars with green upward-pointing labels.
Sell signals are plotted above the price bars with red downward-pointing labels.
Trade Execution:
Entry Conditions:
Long positions are opened when long_signal is true.
Short positions are opened when short_signal is true.
Exit Conditions:
Stop Loss and Take Profit levels are calculated based on the entry price and the respective percentage inputs.
Positions are closed automatically when these levels are hit.
Visualization:
Plots the stop-loss (red line) and take-profit (green line) levels on the chart for easier tracking.
Bollinger Bubble BreakoutThe Bollinger Bubble Breakout (BBB) indicator is a tool for analyzing price movements using Bollinger Bands combined with additional moving averages. It is based on the idea, known as the "Bollinger Bubble Theory," that when a candle closes outside the Bollinger Bands, the price often returns quickly to the 7-period Exponential Moving Average (EMA).
Bollinger Bands are made up of a middle line, which is typically a moving average, and two outer bands that represent standard deviations from this line. These bands help identify when the price is overbought or oversold. The BBB indicator builds on this by adding customizable options for the middle line, allowing the user to choose between different types of moving averages, such as SMA or EMA.
The indicator provides visual signals when the price moves outside the bands. A buy signal appears when the price closes below the lower band, and a sell signal appears when it closes above the upper band. These signals are marked directly on the chart for clarity.
The BBB indicator also includes options to display a 7-period EMA and a 200-period SMA. The EMA shows the short-term reversion level, while the SMA helps identify the overall trend. This combination of tools makes the BBB indicator useful for spotting price reversals and understanding the market's trend context.
This indicator is easy to use and helps traders identify opportunities when price action becomes extreme. It is particularly helpful for those who look for mean reversion setups or want to combine short-term signals with long-term trend analysis.
EMA Cross with both MinhTuanChiến lược này đơn giản.
Ema 9 cắt 21 trên ema 200 thì long.
Ema 9 cắt 21 dưới ema 200 thì short.
Có tuỳ chỉnh both cho anh em lựa chọn.
Chúc ae sẽ có nhiều may mắn giao dịch.
Vĩnh long =))
Ichimoku Cloud Strategy with Exits
- Buy Signal
- Sell Signal
- Long Exit Signal
- Short Exit Signal
Moving Average with Std DeviationsA simple indicator to show a Moving Average with the option to show Standard Deviations of that Moving Average.
When price moves to the outer bands, this can indicate that it is becoming over extended, and may revert back to the mean, have a pull back in a trend, amongst other things.
Created for my own use, but you are welcome to use it if you find it useful.
Thanks!
IchimokuMultiTFThis is an extension of the indicator by HPotter. When price is above cloud, and Tenkan is above Kijun it's a pretty high probably setup when looking for a bullish entry. The cloud will act as support. The opposite is true for bullish. The thicker the cloud the healthier the trend and better support. When price is in the cloud stay out. Try not to enter trades away from support lines to keep risk low. Playing a higher tf combined while on a lower tf chart is most ideal. Such as a 4hr indicator timeframe setting in a 30 min chart or 1hr setting while trading a 5 minute chart. The lines within in the cloud will fill at the time of calculation. Green is bullish, red bearish and white is chop. Happy trading! Note this is not a stand alone indicator and should be used in conjunction with a solid trading strategy.
Vikas_RSI Based TradingRSI-Based Trading Strategy with No Trading Zone and ATR Stop Loss
Description of the RSI-Based Trading Strategy with No Trading Zone and ATR Stop Loss
This Pine Script strategy utilizes the Relative Strength Index (RSI) to identify potential entry and exit points for long (buy) and short (sell) positions in a trading instrument. It incorporates a unique "No Trading Zone" feature and an ATR-based stop loss mechanism for risk management.
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.
Adaptive VWAP Bands with Garman Klass VolatilityThis strategy utilizes the volume weighted average price, adjusted by volatility. Standard deviation bands are applied to the MA, if price closes above 1STD this indicates a bullish trend and the strategy goes long. If a close below 1STD the long is closed.
The standard deviation bands are adjusted by volatility using the Garman-Klass volatility formula: portfolioslab.com
The assumption is the more volatile an asset the less price is being accepted in a certain price range and thus the threshold to go long or close a long increases. In the inverse, the less volatile an asset is the more it's being accepted, then the threshold for a bullish breakout is lowered.
RMA 15 and RMA 10 Cross Strategy (Exit on Next Signal)
The RMA Cross Strategy involves using two Rolling Moving Averages (RMA), typically one with a short period (e.g., 10) and another with a longer period (e.g., 15). The strategy generates trading signals based on the crossover of these RMAs:
Signals:
Buy Signal: When the RMA with a shorter period (RMA 10) crosses above the RMA with a longer period (RMA 15), indicating an upward trend.
Sell Signal: When the RMA with a shorter period (RMA 10) crosses below the RMA with a longer period (RMA 15), indicating a downward trend.
EMA Squeeze RythmHere's a description of this indicator and its purpose:
This indicator is based on the concept of price consolidation and volatility contraction using multiple Exponential Moving Averages (EMAs). It primarily looks for "squeeze" conditions where the EMAs converge, indicating potential market consolidation and subsequent breakout opportunities.
Key Features:
1. Uses 8 EMAs (20-55 period) to measure price compression
2. Measures the distance between fastest (20) and slowest (55) EMAs in ATR units
3. Identifies four distinct states:
- PRE-SQZE: Initial convergence of EMAs
- SQZE: Tighter convergence
- EXT-SQZE: Extreme convergence (highest probability of breakout)
- RELEASE: EMAs begin to expand (potential breakout in progress)
Best Used For:
- Identifying potential breakout setups
- Finding periods of low volatility before explosive moves
- Confirming trend strength using higher timeframe analysis
- Trading mean reversion strategies during squeeze states
- Catching momentum moves during release states
The indicator works well on any timeframe but is particularly effective on 15M to 4H charts for most liquid markets. It includes higher timeframe analysis to help confirm the broader market context.
VWAP Strategy BY VGPATELThis strategy provides clear buy and sell signals based on the interaction of price and VWAP, helping traders to capitalize on intraday price movements while filtering out market noise.
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 !
Boost, Share, Follow, and Enjoy with FuTech!
Jai Swaminarayan Dasna Das !
He Hari ! Bas Ek Tu Raji Tha !
