Live Break of Candle DetectorBreak of Candle Indicator can alert you when a live break of candle occurs. Can tailor it to any timeframe.
Padrões gráficos
RMH MidTermThis script combines technical indicators (RSI and MACD), the trend of the HYG ETF, and a long-term moving average to detect buying or selling opportunities in markets with a medium-term bias.
Buy when the RSI breaks out of oversold territory, the MACD crosses upward, the HYG shows relative strength, and the price is above the 200-day moving average.
Sell when the RSI enters overbought territory, the MACD crosses downward, the HYG shows weakness, and the price falls below the 200-day moving average.
It also marks global trend changes using the 200-day moving average as a reference.
Bullish/Bearish Reversal Bars Indicator [ik]To address the issue where the labels (BULL and BEAR) were not appearing, the following corrections and improvements have been made to the Pine Script code:
Corrected the Money Flow Index (MFI) Calculation: The original MFI calculation was incorrect. It has been replaced with the standard MFI formula using the typical price and Wilder's moving average (RMA).
Fixed AO Conditions: The conditions involving the Awesome Oscillator (AO) were reversed. Bullish reversal now requires AO to be rising (diff > 0), and bearish reversal requires AO to be falling (diff < 0).
Adjusted Label Management: Ensured labels are only removed when invalidation conditions are met, preventing premature deletion.
EMA 8/21/50EMA 8/21/50, adjustedd from EMA 8. great for understanding market trends and direction.
Below the EMAs- Look to short
Above the EMAs- Look to long
Gap Days Identifier📌 Gap Days Identifier – Pine Script
This script identifies Gap Up and Gap Down days based on user-defined percentage thresholds. It is designed for daily charts and helps traders spot significant opening gaps relative to the previous day’s close.
🔍 Key Features:
Customizable Thresholds: Input your desired % gap for both Gap Up and Gap Down detection.
Visual Markers: Displays label arrows with actual % gap on the chart (green for Gap Up, red for Gap Down).
Live Statistics Table: Shows total count of Gap Up and Gap Down days based on your filters.
Clean Overlay: Designed to be non-intrusive and easy to interpret for any instrument.
✅ Use Case:
Perfect for traders who track gap-based breakout strategies, news/event impact, or want to filter days with strong overnight sentiment shifts.
EMA Crossover (New Trailing Stop)This strategy utilizes a combination of Exponential Moving Averages (EMA) to generate entry and exit signals for both long and short positions. The core of the strategy is based on the 13-period EMA (short EMA) crossing the 33-period EMA (long EMA) for entering long trades, while a 13-period EMA crossing the 25-period EMA (mid EMA) generates short trade signals. The strategy aims to capitalize on trend reversals and momentum shifts in the market.
A key enhancement in this strategy is the inclusion of slippage, set at 5 ticks, to simulate more realistic trading conditions. Slippage accounts for the difference between the expected price of a trade and the actual price, providing a more accurate representation of real-world trading scenarios.
Stack Overflow
To address the issue of overlapping exit orders, the strategy incorporates a flag (isExiting) to track whether an exit has been processed. This ensures that only one exit order is generated per bar, preventing multiple exits from overlapping and resulting in clearer trade execution.
The strategy is designed to execute trades swiftly, emphasizing real-time entry when conditions align. For long entries, the strategy initiates a buy when the 13 EMA is greater than the 33 EMA, indicating a bullish trend. For short entries, the 13 EMA crossing below the 33 EMA signals a bearish trend, prompting a short position. Importantly, the code includes built-in exit conditions for both long and short positions. Long positions are exited when the 13 EMA falls below the 33 EMA, while short positions are closed when the 13 EMA crosses above the 25 EMA.
A notable feature of the strategy is the use of trailing stops for both long and short positions. This dynamic exit method adjusts the stop level as the market moves favorably, locking in profits while reducing the risk of losses. The trailing stop for long positions is based on the high price of the current bar, while the trailing stop for short positions is set using the low price, providing flexibility in managing risk. This mechanism helps capture profits from favorable market movements while ensuring positions are exited if the market moves against them.
In summary, this strategy combines EMA crossovers with realistic trading conditions, including slippage and non-overlapping exits, to effectively identify and act upon market trends. This strategy works best on the 4H/Daily timeframe and is optimized for major cryptocurrency pairs. The 4H/Daily chart allows for the EMAs to provide more reliable signals, as the strategy is designed to capture broader trends rather than short-term market fluctuations. Using it on major crypto pairs increases its effectiveness as these assets tend to have strong and sustained trends, providing better opportunities for the strategy to perform well.
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVGMMXM ICT Market Maker Model PO3 CHoCH/CSID + FVG
This comprehensive indicator is designed for traders leveraging ICT (Inner Circle Trader) concepts, particularly the Market Maker Model, to identify high-probability trade setups based on institutional price delivery behavior. It combines multiple structural elements, fair value inefficiencies, and entry signals to assist with PO3 (Power of 3), CHoCH, and Market Structure analysis.
🔹 Key Features:
CHoCH / BOS Detection:
Automatically identifies Change of Character (CHoCH) and Break of Structure (BOS) using swing highs and lows. Useful for recognizing early trend reversals or continuations.
Fair Value Gaps (FVG):
Highlights imbalances between buyers and sellers by detecting unfilled price gaps, signaling potential areas of price drawdown or support/resistance.
Market Structure (HH/LL):
Plots Higher Highs and Lower Lows to visually assist with trend analysis and structural shifts.
Buy & Sell Signals:
Entry signals are generated when CHoCH aligns with the prevailing trend direction, helping to confirm high-probability trade entries.
⚙️ Customizable Inputs:
FVG Lookback and Size Thresholds
CHoCH Swing Sensitivity
Market Structure Swing Detection
Toggle Display Options for All Visual Elements
🎯 Use Case:
Ideal for day traders and swing traders seeking to trade with the "smart money." When FVG zones align with CHoCH and confirmed trend direction, this tool helps uncover potential sniper entries and exits.
BUY AND SELL SIGNALSThis script gives Buy and Sell signals that are 98% accurate. Load the script and see for yourself.
3%TRADERS POWER TRENDLINEThe 3%TRADERS POWER TRENDLINE indicator is designed to help traders identify significant trendlines based on pivot points in price data. This indicator draws trendlines by connecting pivot highs and pivot lows, which can help traders visualize trends and potential reversal points in the market.
### Key Features:
- **Lookback Length Pivots:** Customize the lookback period for identifying pivot points.
- **Wicks or Real Bodies:** Choose whether to draw trendlines from wicks or real bodies of the candles.
- **Display Options:** Option to display only falling 'high' and rising 'low' trendlines.
- **Monochrome Lines:** Option to draw trendlines in monochrome or direction-colored lines.
- **Limit Line Extensions:** Set limits for the extensions of the trendlines.
- **Alerts:** Option to enable alerts for trendline breaks.
- **Limit Number of Trendlines:** Limit the number of trendlines displayed on the chart.
- **Log Chart:** Special settings for log scale charts.
## How to Use
1. **Add the Indicator:**
- Open your TradingView chart.
- Click on the "Indicators" button at the top.
- Search for "3%TRADERS TRENDLINE" and add it to your chart.
2. **Configure Input Settings:**
- **Lookback Length Pivots:** Adjust the lookback period to control how far back the indicator looks for pivot points.
- **Wicks or Real Bodies:** Check this option to draw trendlines from the wicks of candles, or uncheck to draw from the real bodies.
- **Display Options:** Choose whether to display only falling 'high' and rising 'low' trendlines.
- **Monochrome Lines:** Check this option to draw all trendlines in a single color, or uncheck to use different colors for rising and falling trendlines.
- **Limit Line Extensions:** Set a limit for how far the trendlines can extend. A value of 0 means infinite extension.
- **Alerts:** Enable this option to receive alerts when trendlines are broken.
- **Limit Number of Trendlines:** Check this option to limit the number of trendlines shown on the chart.
- **Number of Trendlines:** Set the maximum number of trendlines to display if the above option is checked.
- **Log Chart:** Check this option if you are using a logarithmic scale chart.
3. **Interpret the Trendlines:**
- The indicator will draw trendlines connecting pivot highs and pivot lows based on your configuration.
- Rising trendlines are typically drawn in green (or a single color if monochrome is enabled).
- Falling trendlines are typically drawn in red (or a single color if monochrome is enabled).
4. **Monitor for Alerts:**
- If alerts are enabled, the indicator will notify you of trendline breaks, which can signal potential trend reversals or breakout opportunities.
## Example Usage:
- Use the indicator to identify key support and resistance levels based on trendlines.
- Combine with other technical analysis tools to confirm trend reversals or continuation patterns.
- Adjust the lookback length and other settings to fit your trading strategy and the specific asset you are analyzing.
The 3%TRADERS TRENDLINE indicator is a powerful tool for visualizing trends and making informed trading decisions based on key price levels.
Dskyz Adaptive Futures Edge (DAFE)imgur.com/a/igj9lFj
Dskyz Adaptive Futures Edge (DAFE) is a futures trading strategy designed to adapt dynamically to market volatility and price action using a blend of technical indicators. The strategy combines adaptive moving averages, optional RSI filtering, candlestick pattern recognition, and multi-timeframe trend analysis to generate long and short trade signals. It incorporates robust risk management techniques including ATR-based stop-losses and trailing stops, ensuring trades are sized and managed within sustainable risk limits.
Key Components and Logic
-Adaptive Moving Averages
Dynamic Calculation: Fast and slow Simple Moving Averages (SMAs) adapt to changing volatility, making them sensitive to high-momentum shifts and smoothing during quieter price action.
Signal Generation: Entry signals are triggered when the fast SMA crosses the slow SMA in conjunction with price direction confirmation (e.g., price above both for long positions).
-RSI Filtering (Optional)
Momentum Confirmation: The RSI filter provides momentum confirmation to avoid overextended entries. It can be toggled on or off for both long and short conditions.
User Control: Adjustable parameters such as lookback period, oversold/overbought thresholds, and enable/disable switches give full control over its influence.
-Candlestick Pattern Recognition
Engulfing Logic: Recognizes strong bullish or bearish engulfing patterns with configurable strength criteria like range and volume. Patterns are filtered by trend direction and strength for confirmation.
Signal Conflict Handling: When both bullish and bearish engulfing patterns occur within the lookback window, the strategy avoids entry to reduce whipsaws in indecisive markets.
-Multi-Timeframe Trend Filter
Higher Timeframe Filtering: Incorporates 15-minute trend direction as a macro-level filter to align intrabar trades with larger trend momentum.
Smoothed Entry Logic: Prevents entering trades that go against the broader market structure, reducing false signals in choppy or low-conviction moves.
-Trade Execution and Risk Management
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Entry Logic
Priority System: Users can define whether moving average signals or candlestick patterns should take priority when both are present.
Volume & Volatility Checks: Ensures sufficient market participation and action before entering a position, improving the odds of reliable follow-through.
Stop-Loss and Trailing Exit
ATR-Based Initial Stops: Dynamically adjusts stop-loss distance based on market volatility using a multiple of ATR (Average True Range), keeping risk proportional to price swings.
Trailing Stop: Protects open profits and enables winners to run by following price action at a set distance (also ATR-based).
-Cooldown Period & Minimum Bar Hold (Trade Discipline Logic)
Cooldown Bars: After an exit, the strategy imposes a mandatory pause before opening a new position.
Why: This avoids rapid-fire re-entries triggered by minor fluctuations that could lead to overtrading and degradation of profitability.
Minimum Bar Hold: A trade must be held for a minimum number of bars before it can be exited.
Why: This prevents the strategy from immediately exiting trades due to fleeting volatility spikes, which previously caused premature exits that often reversed back in favor of the original signal. This ensures trades have adequate time to develop, filtering out noise from true reversals.
-Visual Elements and Transparency Tools
Chart Overlays: Moving averages, RSI values, and trade entry/exit points are shown directly on the chart for complete visibility.
Dashboard UI: Displays critical live metrics—current position, PnL, time held, ATR values, etc.
Debug Logs: Optional toggles allow verbose condition tracking for deep inspection into why a trade occurred (or didn't), useful for both live optimization and debugging.
-Input Parameter Reference Guide
Input Name Function & Suggested Use
Use RSI Filter - Enables or disables RSI-based entry confirmation. Disable if price action alone is desired for entry decisions.
RSI Length - RSI lookback period. Lower values (e.g., 7–14) are more responsive; higher values reduce false signals.
Overbought / Oversold Levels - Used to detect exhaustion zones. E.g., avoid long entries above 70 or short entries below 30.
Use Candlestick Patterns - Enable detection of bullish/bearish engulfing patterns as trade signals. Disable to rely only on trend/MA.
Pattern Strength Thresholds (Range, Volume) - Filters out weak engulfing signals. Higher values require stronger patterns to trigger.
Use 15min Trend Filter - Adds multi-timeframe trend confirmation. Recommended for filtering entries against larger trend direction.
Fast MA - Base Length for fast adaptive moving average. Suggested: 10–25.
Slow MA - Base length for slow adaptive moving average. Suggested: 30–60.
Volatility Sensitivity Multiplier - Multiplies volatility adjustments for adaptive MA length. Higher = more reactive to volatility.
Entry Volume Filter - Filters out trades during low volume. Recommended to prevent entries in illiquid conditions.
ATR Length - Lookback period for ATR calculation. Suggested: 14.
Trailing Stop ATR Offset - Defines how far the stop-loss is from entry. 1.5–2.5 is typical for medium-volatility environments.
Trailing Stop ATR Multiplier - Determines trailing stop distance. 1.5 is tight; 3+ gives more room for trending trades.
Cooldown Bars After Exit - Prevents immediate re-entries. Suggested: 3–10 bars depending on timeframe.
Minimum Bars to Hold Trade - Ensures trades are held long enough to avoid knee-jerk exits. Suggested: 5–10 for intraday strategies.
Trading Hours (Start / End) - Sets the window of allowed trading. Prevents entries outside key session times (e.g., avoid pre-market).
Enable Logging / Debugging - Shows internal trade decision data for tuning and understanding the logic.
Compliance with TradingView Regulations
Realistic Backtesting: The strategy uses proper initial capital, fixed trade quantities, and risk parameters to reflect realistic scenarios.
Transparent Trade Logic: Every condition used for signal generation is documented and controllable by the user. Users can view each signal's rationale.
Risk Mitigation: Cooldown bars, ATR stops, and minimum trade duration ensure the strategy behaves predictably and prevents reckless trade behavior.
Customization: Full control over each module (MA, RSI, Candlestick, Trend, etc.) gives users the ability to tailor the strategy to suit various futures contracts or timeframes.
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Summary
DAFE was built for high-stakes micro futures trading environments such as the MNQ, where milliseconds of volatility matter. This strategy's modular architecture, adaptive logic, and advanced risk controls make it an ideal framework for scalpers and swing traders alike.
BTCUSDT.P
Backtesting: www.dropbox.com
Deep Backtesting:
www.dropbox.com
****Currently testing on a prop account.
Caution Statement
This strategy is designed for educational and experimental purposes and should not be considered financial advice or a guaranteed method of profitability. While the DAFE (Dskyz Adaptive Futures Edge) strategy incorporates advanced filters, adaptive logic, and volatility-based risk management, its performance is subject to market conditions, data accuracy, and user configuration.
Futures trading involves substantial risk, and the leverage inherent in futures contracts can amplify both gains and losses. This strategy may execute trades rapidly and frequently under certain conditions—particularly when filters are disabled or thresholds are set too tightly—potentially leading to increased slippage, commissions, or unanticipated losses.
Users are strongly advised to:
Backtest thoroughly across various market regimes.
Adjust parameters responsibly and understand the implication of each input.
Paper trade in a simulated environment before going live.
Monitor trades actively and use discretion when market volatility increases.
-By using this strategy, you accept all risks and responsibility for any trading decisions made based on its output.
Trading Value (in Million) by AsharifanThis indicator highlights the value of trading rather than just volume. It calculates today’s trading value (today’s volume × today’s closing price) and allows you to compare it with the 20-day and 50-day average trading values. This tool helps you assess liquidity and filter stocks that align with your swing trading strategy.
ICT & SMC Multi-Timeframe by [KhedrFX]Transform your trading experience with the ICT & SMC Multi-Timeframe by indicator. This innovative tool is designed for traders who want to harness the power of multi-timeframe analysis, enabling them to make informed trading decisions based on key market insights. By integrating concepts from the Inner Circle Trader (ICT) and Smart Money Concepts (SMC), this indicator provides a comprehensive view of market dynamics, helping you identify potential trading opportunities with precision.
Key Features
- Multi-Timeframe Analysis: Effortlessly switch between various timeframes (5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, daily, and weekly) to capture the full spectrum of market movements.
- High and Low Levels: Automatically calculates and displays the highest and lowest price levels over the last 20 bars, highlighting critical support and resistance zones.
- Market Structure Visualization: Identifies the last swing high and swing low, allowing you to recognize current market trends and potential reversal points.
- Order Block Detection: Detects significant order blocks, pinpointing areas of strong buying or selling pressure that can indicate potential market reversals.
- Custom Alerts: Set alerts for when the price crosses above or below identified order block levels, enabling you to act swiftly on trading opportunities.
How to Use the Indicator
1. Add the Indicator to Your Chart
- Open TradingView.
- Click on the "Indicators" button at the top of the screen.
- Search for "ICT & SMC Multi-Timeframe by " in the search bar.
- Click on the indicator to add it to your chart.
2. Select Your Timeframe
- Use the dropdown menu to choose your preferred timeframe (5, 15, 30, 60, 240, D, W) for analysis.
3. Interpret the Signals
- High Level (Green Line): Represents the highest price level over the last 20 bars, acting as a potential resistance level.
- Low Level (Red Line): Represents the lowest price level over the last 20 bars, acting as a potential support level.
- Last Swing High (Blue Cross): Indicates the most recent significant high, useful for identifying potential reversal points.
- Last Swing Low (Orange Cross): Indicates the most recent significant low, providing insight into market structure.
- Order Block High (Purple Line): Marks the upper boundary of a detected order block, suggesting potential selling pressure.
- Order Block Low (Yellow Line): Marks the lower boundary of a detected order block, indicating potential buying pressure.
4. Set Alerts
- Utilize the alert conditions to receive notifications when the price crosses above or below the order block levels, allowing you to stay informed about potential trading opportunities.
5. Implement Risk Management
- Always use proper risk management techniques. Consider setting stop-loss orders based on the identified swing highs and lows or the order block levels to protect your capital.
Conclusion
The ICT & SMC Multi-Timeframe by indicator is an essential tool for traders looking to enhance their market analysis and decision-making process. By leveraging multi-timeframe insights, market structure visualization, and order block detection, you can navigate the complexities of the market with confidence. Start using this powerful indicator today and take your trading to the next level.
⚠️ Trade Responsibly
This tool helps you analyze the market, but it’s not a guarantee of profits. Always do your own research, manage risk, and trade with caution.
Trading Value (in Million) by AsharifanThis indicator highlights the value of trading rather than just volume. It calculates today’s trading value (today’s volume × today’s closing price) and allows you to compare it with the 20-day and 50-day average trading values. This tool helps you assess liquidity and filter stocks that align with your swing trading strategy.
Trading Value (in Million)This indicator highlights the value of trading rather than just volume. It calculates today’s trading value (today’s volume × today’s closing price) and allows you to compare it with the 20-day and 50-day average trading values. This tool helps you assess liquidity and filter stocks that align with your swing trading strategy.
Candle Size Alerts (Manual size)This TradingView Pine Script (v6) is an indicator that triggers alerts based on the size of the previous candle. Here's a breakdown of how it works:
1. Indicator Definition
//version=6
indicator('Candle Size Alerts (Manual size)', overlay = true)
The script is written in Pine Script v6.
indicator('Candle Size Alerts (Manual size)', overlay = true):
Defines the indicator name as "Candle Size Alerts (Manual size)".
overlay = true means it runs directly on the price chart (not as a separate panel).
2. Calculate the Previous Candle's Body Size
candleSize = math.abs(close - open )
close and open refer to the previous candle’s closing and opening prices.
math.abs(...) ensures that the size is always a positive value, regardless of whether it's a green or red candle.
3. Define a User-Adjustable Candle Size Threshold
candleThreshold = input(500, title = 'Fixed Candle Size Threshold')
input(500, title = 'Fixed Candle Size Threshold'):
Allows users to set a custom threshold (default is 500 points).
If the previous candle's body size exceeds or equals this threshold, an alert is triggered.
4. Check if the Candle Size Meets the Condition
sizeCondition = candleSize >= candleThreshold
This evaluates whether the previous candle's size is greater than or equal to the threshold.
If true, an alert will be generated.
5. Determine Candle Color
isRedCandle = close < open
isGreenCandle = close > open
isRedCandle: The candle is red if the closing price is lower than the opening price.
isGreenCandle: The candle is green if the closing price is higher than the opening price.
6. Generate Alerts Based on Candle Color
if sizeCondition
if isRedCandle
alert('SHORT SIGNAL: Previous candle is RED, body size = ' + str.tostring(candleSize) + ' points (Threshold: ' + str.tostring(candleThreshold) + ')', alert.freq_once_per_bar)
else if isGreenCandle
alert('LONG SIGNAL: Previous candle is GREEN, body size = ' + str.tostring(candleSize) + ' points (Threshold: ' + str.tostring(candleThreshold) + ')', alert.freq_once_per_bar)
If the candle size meets the threshold (sizeCondition == true):
If red, a SHORT SIGNAL alert is triggered.
If green, a LONG SIGNAL alert is triggered.
alert.freq_once_per_bar ensures that alerts are sent only once per candle (avoiding repeated notifications).
How It Works in TradingView:
The script does not plot anything on the chart.
It monitors the previous candle’s body size.
If the size exceeds the threshold, an alert is generated.
Alerts can be used to notify the trader when big candles appear.
How to set Alerts in Trading View
1. Select Indicator – Ensure the indicator is added and properly configured.
2. Set Time Frame – Make sure it's appropriate for your trading strategy.
3. Open Alerts Panel – Click the "Alerts" tab or use the shortcut (Alt + A on Windows).
4. Create a New Alert – Click "+" or "Create Alert."
5. Select Condition – Pick the relevant indicator condition (e.g., "Candle Size Alerts(Manual size)").
6. Choose Alert Function – Default is "Any Alert() Function Call".
7. Set Expiration & Name – Define how long the alert remains active.
8. Configure Notifications – Choose between pop-up, email, webhook, or app notifications.
9. Create Alert – Click "Create" to finalize.
How to set the size manually:
Add the "Candle Size Alerts (Manual size)" Indicator to your chart.
Open Indicator Settings – Click on the indicator and go to the "Inputs" tab.
Set Fixed Size Threshold – Adjust the "Fixed Size Candle Threshold" to your desired value.
Click OK – This applies the changes.
Reset Alerts – Delete and recreate alerts to reflect the new threshold.
Happy Trading !!!!
KOLA CHIRANJEEVI
P*V Liquidity Check (in M)
By Alireza Sharifan
This indicator highlights the value of trading rather than just volume. It calculates today’s trading value (today’s volume × today’s closing price) and allows you to compare it with the 20-day and 50-day average trading values.
This tool helps you assess liquidity and filter stocks that align with your swing trading strategy."
Shan Alerts v6This indicator appears to be a volatility-based trailing stop system that generates buy and sell signals. It uses ATR (Average True Range) to determine stop levels and can work with either regular price data or Heikin-Ashi candles.
Strengths
ATR-Based Stops: The use of ATR makes the stops adaptive to market volatility, which is generally better than fixed percentage stops.
Heikin-Ashi Option: The ability to use Heikin-Ashi candles can help filter out some market noise, potentially reducing false signals.
Visual Clarity: The indicator provides clear visual signals with colored bars and buy/sell labels.
Alert Functionality: The built-in alert conditions make it practical for real-world trading.
BTC Dominance Excluding StablecoinsBTC Dominance Excluding Stablecoins
Description:
The "BTC Dominance Excluding Stablecoins" indicator calculates Bitcoin's dominance as a percentage of the total cryptocurrency market capitalization, excluding the market caps of major stablecoins (USDT and USDC). Unlike the standard BTC.D ticker, which includes stablecoins in the total market cap, this indicator provides a clearer view of Bitcoin’s dominance relative to the "non-stable" crypto market. This can be useful for traders and analysts who want to assess Bitcoin’s strength without the influence of stablecoin market caps, which often skew dominance metrics during periods of high stablecoin usage.
How It Works:
Bitcoin Market Cap: Fetches Bitcoin’s market capitalization using CRYPTOCAP:BTC.
Total Market Cap: Retrieves the total cryptocurrency market cap via CRYPTOCAP:TOTAL.
Stablecoin Adjustment: Subtracts the market caps of USDT (CRYPTOCAP:USDT) and USDC (CRYPTOCAP:USDC) from the total market cap.
Dominance Calculation: Computes Bitcoin’s dominance as (BTC Market Cap / Adjusted Total Market Cap) * 100, where the adjusted total excludes stablecoins.
Output: Plots the resulting dominance percentage as a line chart.
Features:
Displays Bitcoin dominance excluding stablecoins on any timeframe.
Customizable line color and thickness for better visualization.
Provides a more accurate representation of Bitcoin’s market share in the volatile, non-stablecoin crypto ecosystem.
Usage:
Add this indicator to your TradingView chart to compare Bitcoin’s dominance against the broader altcoin market, free from stablecoin distortions. Use it alongside other indicators like BTC.D or price charts to analyze market trends, especially during periods of high stablecoin inflows or outflows.
Notes:
The indicator currently excludes USDT and USDC, the two largest stablecoins by market cap. Additional stablecoins (e.g., DAI, BUSD) can be added by modifying the script if desired.
Data is sourced from TradingView’s CRYPTOCAP symbols, which may have slight delays or variations depending on exchange data feeds.
Best used on daily or higher timeframes for smoother, more reliable results.
Author:
Created by K Du₿
Version:
Pine Script v5
HuntCandles hunts and closes inside
its CRT pattern which a 2nd candle hunted the first one but closes inside the range
new version has the ability to have HTF CRT in LTF chart
with this update you can have CRT in LTF easily
use it with Time concepts and enjoy!
Vertical Lines for Kill ZonesVertical lines for Kill Zones.
4 függőleges vonalat rajzol 8-9 és 13 14 ora között.
J Weighted Average Price📘 How to Use the OBV VWAP Reentry Signal Effectively
This indicator plots a VWAP based on OBV (On-Balance Volume), along with dynamic bands to identify overbought and oversold conditions in volume flow.
🔺 Red Triangle Up: Appears when OBV crosses back below the upper band → Potential reversal from overbought → Watch for short opportunities.
🔻 Blue Triangle Down: Appears when OBV crosses back above the lower band → Potential reversal from oversold → Watch for long opportunities.
📌 Tip: Use these signals in confluence with price action or trend confirmation to filter false signals. For example:
Enter short after a reentry from upper band and a lower high in price.
Enter long after a reentry from lower band and a bullish candle structure.
This setup helps you catch mean reversion moves based on volume flow, not just price.
