Indicators and strategies
Cumulative Volume Delta Strategy2candleahmet bu inş tutar
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Simple Average Price & Target ProfitThis script is designed to help users calculate and visualize the weighted average price of an asset based on multiple entry points, along with the target price and the potential profit. The user can input specific prices for three different entries, along with the percentage of total investment allocated to each price point. The script then calculates the weighted average price based on these entries and displays it on the chart. Additionally, it calculates the potential profit at a given target price, which is plotted on the chart.
Buyside & Sellside Liquidity and FOMO & PANİK]We Added Advanced Features to LuxAlgo’s Buy-Side and Sell-Side Liquidity Indicator
Buy-Side and Sell-Side Liquidity (Liquidity Hunt) indicators are an important tool for understanding market maker manipulations and analyzing price movements in high-volume areas. This indicator from LuxAlgo allows users to better evaluate the market’s liquidity flow. However, we have made some strategic improvements and additions to further enhance the functionality of this powerful tool.
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Features We Added to the Indicator
1. Liquidity Threshold and Analysis by Time Frames
The user can analyze liquidity movements in different time frames by determining short, medium and long-term periods.
Thanks to the Liquidity Threshold (%) parameter, long (buy) and short (sell) levels are determined according to price change rates.
Volume threshold controls are applied for each period and only high volume movements are taken into account.
2. Detection of Long and Short Liquidity Zones
Buy-Side (Long) Liquidity Zones: Long entry levels below the price are determined and reaction signals are created when the price reaches this level.
Sell-Side (Short) Liquidity Zones: Short entry levels above the price are determined and the levels are visualized on the chart.
These zones are used to detect market maker manipulations in places where liquidity traps may occur.
3. Coloring of High Volume Candles
With volume analysis, high volume candles are marked with different colors to observe the dynamics of price movements more clearly.
For example, candles exceeding volume threshold levels are highlighted with distinct colors such as white, yellow or blue.
4. Analysis of Wick and Volume-Based Long/Short Traps
Long trap and short trap traps are detected based on the length ratios of candle shadows (wick), ATR (Average True Range) and volume change.
These traps are clearly marked on the chart and supported by market psychology signals such as FOMO (fear of missing out) and Panic to the user.
5. Proximity to Liquidity Zones and Alarm Systems
We have added an algorithm that measures how close the price is to the specified liquidity zones. In this way:
Price movements that are less than 2% away from the upper liquidity zone are analyzed.
The same methodology is used for proximity to the middle liquidity zone and lower liquidity zone.
The user is warned when a long trap or short trap occurs with the alarm system.
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FOMO and Panic Algorithm
These updates include additional parameters to analyze investor psychology:
FOMO (Fear of Missing Out):
A FOMO signal is generated when the RSI level is high, the price is near the upper or middle liquidity zones, and sudden price/volume increases are seen.
This signal allows the investor to avoid making unconscious purchases.
Panic:
A panic signal is triggered when the RSI level is low, the price is near the lower or middle liquidity zones, and sudden decreases are seen.
This is designed to prevent investors from selling hastily.
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Benefits of the Developments
1. Prevention of Manipulations:
Price movements are analyzed according to liquidity zones, aiming to protect investors against market maker manipulations.
2. Stronger Strategy with Reaction Levels:
Visualization of long and short liquidity zones provides more reliable signals in trading strategies.
3. Understanding Psychological Barriers:
The impact of investor behavior on the market is better analyzed with FOMO and Panic signals.
4. Advanced Filtering Based on Volume and Volatility:
Volume and volatility analysis minimizes false signals.
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Conclusion
With these updates, LuxAlgo’s original Buy-Side & Sell-Side Liquidity indicator has been made a more powerful tool. Users can make more informed trades by identifying important levels that market makers may target. Combining multiple variables such as volume, liquidity, RSI and psychological barriers, this system provides a more robust analysis, especially in the cryptocurrency market.
Mahen Support and ResistanceSupport and Resistance to my learning purpose. It may not work for others. Feel free to tweak it according to your needs. This also modified from good soul
Dynamic Volatility Differential Model (DVDM)The Dynamic Volatility Differential Model (DVDM) is a quantitative trading strategy designed to exploit the spread between implied volatility (IV) and historical (realized) volatility (HV). This strategy identifies trading opportunities by dynamically adjusting thresholds based on the standard deviation of the volatility spread. The DVDM is versatile and applicable across various markets, including equity indices, commodities, and derivatives such as the FDAX (DAX Futures).
Key Components of the DVDM:
1. Implied Volatility (IV):
The IV is derived from options markets and reflects the market’s expectation of future price volatility. For instance, the strategy uses volatility indices such as the VIX (S&P 500), VXN (Nasdaq 100), or RVX (Russell 2000), depending on the target market. These indices serve as proxies for market sentiment and risk perception (Whaley, 2000).
2. Historical Volatility (HV):
The HV is computed from the log returns of the underlying asset’s price. It represents the actual volatility observed in the market over a defined lookback period, adjusted to annualized levels using a multiplier of \sqrt{252} for daily data (Hull, 2012).
3. Volatility Spread:
The difference between IV and HV forms the volatility spread, which is a measure of divergence between market expectations and actual market behavior.
4. Dynamic Thresholds:
Unlike static thresholds, the DVDM employs dynamic thresholds derived from the standard deviation of the volatility spread. The thresholds are scaled by a user-defined multiplier, ensuring adaptability to market conditions and volatility regimes (Christoffersen & Jacobs, 2004).
Trading Logic:
1. Long Entry:
A long position is initiated when the volatility spread exceeds the upper dynamic threshold, signaling that implied volatility is significantly higher than realized volatility. This condition suggests potential mean reversion, as markets may correct inflated risk premiums.
2. Short Entry:
A short position is initiated when the volatility spread falls below the lower dynamic threshold, indicating that implied volatility is significantly undervalued relative to realized volatility. This signals the possibility of increased market uncertainty.
3. Exit Conditions:
Positions are closed when the volatility spread crosses the zero line, signifying a normalization of the divergence.
Advantages of the DVDM:
1. Adaptability:
Dynamic thresholds allow the strategy to adjust to changing market conditions, making it suitable for both low-volatility and high-volatility environments.
2. Quantitative Precision:
The use of standard deviation-based thresholds enhances statistical reliability and reduces subjectivity in decision-making.
3. Market Versatility:
The strategy’s reliance on volatility metrics makes it universally applicable across asset classes and markets, ensuring robust performance.
Scientific Relevance:
The strategy builds on empirical research into the predictive power of implied volatility over realized volatility (Poon & Granger, 2003). By leveraging the divergence between these measures, the DVDM aligns with findings that IV often overestimates future volatility, creating opportunities for mean-reversion trades. Furthermore, the inclusion of dynamic thresholds aligns with risk management best practices by adapting to volatility clustering, a well-documented phenomenon in financial markets (Engle, 1982).
References:
1. Christoffersen, P., & Jacobs, K. (2004). The importance of the volatility risk premium for volatility forecasting. Journal of Financial and Quantitative Analysis, 39(2), 375-397.
2. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007.
3. Hull, J. C. (2012). Options, Futures, and Other Derivatives. Pearson Education.
4. Poon, S. H., & Granger, C. W. J. (2003). Forecasting volatility in financial markets: A review. Journal of Economic Literature, 41(2), 478-539.
5. Whaley, R. E. (2000). The investor fear gauge. Journal of Portfolio Management, 26(3), 12-17.
This strategy leverages quantitative techniques and statistical rigor to provide a systematic approach to volatility trading, making it a valuable tool for professional traders and quantitative analysts.
Footprint BoxesThis indicator is designed to extract delta percentage at bin and total delta orderflow features from lower time frame data as tradingview pro provides, but for free.
The highest bin represent total volume delta at the candle
The other bins are from high prices to low prices top to bottom and the values inside them shows the percentage of directional volume delta at that spesific level
Let me know how can I improve it
you should use it with +1 hour charts
nifty supertrend tritonTrend based Strategy based on EMA , ATR and supertrend . Currently being used and testing on Nifty and Banknifty with adjusted parameters .
Do backtest before taking any trade
ICT Digital open Daily DividersDescription for "ICT Digital Open Daily Dividers" TradingView Indicator
Overview
The "ICT Digital Open Daily Dividers" is a versatile and comprehensive TradingView Pine Script indicator designed for traders who utilize Institutional Order Flow methodologies, particularly in ICT (Inner Circle Trader) trading. This indicator provides a structured visual framework to assist traders in identifying key daily market sessions, critical opening prices, and distinguishing different trading days, especially focusing on the Sunday open, which is a crucial element in the ICT trading strategy.
Core Functionalities
Daily Vertical Lines: The script plots vertical lines at the start of each trading day, which helps to demarcate daily trading sessions. These lines are customizable, allowing traders to choose their color, style (solid, dashed, or dotted), and width. This feature helps in visually segmenting each trading day, making it easier to analyze daily price action patterns.
Sunday Open Differentiation: Unlike many other daily divider indicators, this script uniquely provides the option to highlight the Sunday open at 6 PM EST with distinct lines. This feature is especially valuable for ICT traders who consider the Sunday open as a critical reference point for weekly analysis. The color, style, and width of the Sunday open lines can be set separately, providing a clear visual distinction from regular weekday separators.
12 AM Open Toggle: For markets that are influenced by midnight opens, the indicator includes an option to shift the daily open line to 12 AM instead of the default 6 PM. This flexibility allows traders to adapt the indicator to different market dynamics or trading strategies.
Timezone Customization: The indicator allows traders to set the timezone for the open lines, ensuring that the vertical lines align accurately with the trader’s specific market hours, whether they follow New York time or any other timezone.
Session Time Filters: The script can hide or show specific trading session markers, such as the New York session open and close, which are pivotal for ICT traders. These markers help in focusing on the most active and liquid trading times.
Customizable Style Settings: The script includes comprehensive styling options for the plotted lines and session markers, allowing traders to personalize their charts to suit their visual preferences and improve clarity.
Day of the Week Labels: The indicator can plot labels for each day of the week, providing a quick reference to the day’s price action. This feature is particularly useful in reviewing weekly trading patterns and performance.
Use in ICT Trading
In ICT trading, the concept of the "open" is fundamental. The "ICT Digital Open Daily Dividers" indicator serves multiple purposes:
Market Structure Identification: By clearly marking daily opens, traders can easily identify market structure changes such as breakouts, retracements, or consolidations around these key levels.
Reference Points: The Sunday open is often a key level in ICT analysis, serving as a benchmark for assessing market direction for the upcoming week. This indicator’s ability to plot Sunday opens separately makes it uniquely suited for ICT strategies.
Time-based Analysis: ICT methodology often involves analyzing the market at specific times of the day. This indicator supports such analysis by marking significant session opens and closes.
Uniqueness and Advantages
The "ICT Digital Open Daily Dividers" stands out from other similar indicators due to its specialized features:
Sunday Open Highlighting: Few indicators offer the capability to specifically mark the Sunday open with distinct styling options.
Flexibility in Time Adjustments: With options to adjust the open time to either 6 PM or 12 AM, this indicator caters to a broader range of trading strategies and market conditions.
Enhanced Visualization: The wide range of customization options ensures that traders can tailor the indicator to their specific needs, enhancing the usability and visual clarity of their charts.
Compliance with TradingView's Pine Script Community Guidelines
The description adheres to TradingView's guidelines by being comprehensive, clear, and informative. It highlights the utility of the script, its unique features, and its application in trading strategies without making exaggerated claims about performance or profitability. The detailed customization options and unique functionalities are emphasized to differentiate this script from other standard daily divider indicators.
NUPL PanduFixed the original NUPL indicator with Da_Profs decreasing log function and personal fine tuning of the function and slope. There is now no false positive on 8th january and less signals in general
İtalyan Ghost// © informanerd
//@version=5
maxBoxes = 500
indicator("İtalyan Ghost", "", true, max_boxes_count = maxBoxes)
htf = input.timeframe("", "Zaman Dilimi")
appearGroup = "=============== ==============="
thickWick = input.bool(true, "RENKLER", group = appearGroup)
ascColor = input.color(color.green, "Rengini Seç → Bull:", inline = "color", group = appearGroup)
descColor = input.color(color.white, " Bear:", inline = "color", group = appearGroup)
bodyTrans = input.int(100, "Transparency → Mum Gövdesi:", 0, 100, 10, inline = "trans", group = appearGroup)
wickTrans = input.int(90, " Mum İğnesi:", 0, 100, 10, inline = "trans", group = appearGroup)
ctfCandleDeltaTime = switch
timeframe.isseconds => timeframe.multiplier * 1000
timeframe.isminutes => timeframe.multiplier * 1000 * 60
timeframe.isdaily => timeframe.multiplier * 1000 * 60 * 1440
timeframe.isweekly => timeframe.multiplier * 1000 * 60 * 1440 * 7
timeframe.ismonthly => timeframe.multiplier * 1000 * 60 * 1440 * 30
var bodies = array.new_box()
var wicks = array.new_box()
var color bodyColor = na
var color wickColor = na
= request.security("", htf, )
if bodies.size() > 0 and htfOpenTime == htfOpenTime
bodies.pop().delete()
wicks.pop().delete()
if bodies.size() == maxBoxes / 2
bodies.shift().delete()
wicks.shift().delete()
bodyTop = math.max(htfO, htfC)
bodyBottom = math.min(htfO, htfC)
wickLeft = htfOpenTime + ((htfCloseTime - htfOpenTime) / 2) - ctfCandleDeltaTime
wickRight = htfCloseTime - ((htfCloseTime - htfOpenTime) / 2) + (ctfCandleDeltaTime / 2)
bodyColor := htfO > htfC ? color.new(descColor, bodyTrans) : htfO < htfC ? color.new(ascColor, bodyTrans) : bodyColor
wickColor := htfO > htfC ? color.new(descColor, wickTrans) : htfO < htfC ? color.new(ascColor, wickTrans) : wickColor
bodies.push(box.new(htfOpenTime, bodyTop, htfCloseTime, bodyBottom, bodyTop == bodyBottom ? bodyColor : na, xloc = xloc.bar_time, bgcolor = bodyColor))
wicks.push(box.new(thickWick ? htfOpenTime : wickLeft, htfH, thickWick ? htfCloseTime : wickRight, htfL, na, xloc = xloc.bar_time, bgcolor = wickColor))
SPX Lin Reg with SD -1 +1 -2 +2 -3 +3 (Extended by Date) V1.03Linear regression for a given period with standard deviations
Fractal AlligatorBased on Williams Alligator and Fractals with the inclusion of EMA and SMA for trend detection
VolatilityFlex Dynamic [CodeNeural]Volatility levels for tracking weekend price potential.
Load up and enjoy
Multi-Timeframe Candles HistogramsAt some community members' requests, I have built on the original code to make it a single indicator with the option for users to check off which timeframes they want to be shown. Choices are 1-hour, daily, weekly, and monthly.
I couldn't figure out how to separate each timeframe into its own histogram, so this is the best I can offer at the moment. If any community member wants to take a crack at it, be my guest.
Colors are customizable.
If you have a paid TW account, you can lay it down twice and put the hour and daily on one and the weekly and monthly on the other.
That said, I hope you enjoy this version of this indicator.
R.I.P. Rob Smith, creator of TheStrat.
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Key Features and Benefits
1. Custom Timeframe Selection:
- Choose from an array of timeframes ranging from minutes to months, giving you complete flexibility in your market analysis.
- Quickly switch between different timeframes (e.g., 1-hour, daily, or weekly) to track continuity across varying levels.
2. Visual Representation of High/Low Markers:
- Enable or disable the display of high and low points to better understand price ranges and reversals.
- These markers allow you to spot key turning points on different timeframes, facilitating better entry or exit decisions.
3. Enhanced Candle Visualization:
- Displays candles with precise price levels aligned to your chosen timeframe, giving a clearer view of price trends.
- Candles are color-coded to reflect price movement, which is customizable by the user.
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How to Use This Indicator
Monitor Multiple Timeframes Simultaneously:
- Place the indicator on your chart and choose the timeframes you want to follow (e.g., hourly, daily, weekly, monthly).
- For each instance, checkmark the desired timeframes in the menu to ensure that you’re tracking the right period.
Achieve Timeframe Continuity:
- By aligning lower timeframes with higher ones, this tool helps you confirm trends, detect reversals, and avoid trades that go against the broader market movement.
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Why This Indicator is Valuable for Traders
This tool simplifies a core principle of TheStrat—full timeframe continuity—by visually representing price action across multiple timeframes in a clear and actionable way. It removes the guesswork and helps traders stay in sync with market momentum, regardless of the timeframe they are analyzing.
This solution offers flexibility, clarity, and speed, enabling traders to quickly grasp critical movements and improve decision-making. Whether you are a scalper focusing on intraday moves or a swing trader watching weekly trends, this tool empowers you to maintain alignment with the overall market structure.
In essence, it brings the power of TheStrat to your fingertips by offering precise and easy-to-read visual aids, allowing you to seamlessly apply Rob Smith’s philosophy to your trading.
Percentage Calculator by Akshay GaurThis indicator calculates and displays percentage levels above and below the current price. It allows you to easily identify any percentage levels which can be used in many things like creating strangles and straddles and make informed trading decisions. The indicator automatically adjusts and redraws the lines and labels on the latest bar to reflect real-time market conditions.
Key Features:
• Calculates percentage levels above and below the current price
• Displays percentage levels on big labels with the horizontal lines on the chart
• Allows you to adjust the percentage value and every details.
• Allows you to see Fluctuation line on the chart.
How to Use:
1. Set the percentage value to the desired level (e.g. 1%, 2%, etc.)
2. If you want to see Fluctuation lines also then turn on it from Input settings.
3. Use the displayed levels to identify desired percentage levels.
4. Make informed trading decisions based on the calculated levels
MVRV PanduFixed the original MVRV indicator with Da_Profs decreasing log function and personal fine tuning of the function and slope. There is now no false positive on 8th january and less signals in general
Implied and Historical VolatilityAbstract
This TradingView indicator visualizes implied volatility (IV) derived from the VIX index and historical volatility (HV) computed from past price data of the S&P 500 (or any selected asset). It enables users to compare market participants' forward-looking volatility expectations (via VIX) with realized past volatility (via historical returns). Such comparisons are pivotal in identifying risk sentiment, volatility regimes, and potential mispricing in derivatives.
Functionality
Implied Volatility (IV):
The implied volatility is extracted from the VIX index, often referred to as the "fear gauge." The VIX represents the market's expectation of 30-day forward volatility, derived from options pricing on the S&P 500. Higher values of VIX indicate increased uncertainty and risk aversion (Whaley, 2000).
Historical Volatility (HV):
The historical volatility is calculated using the standard deviation of logarithmic returns over a user-defined period (default: 20 trading days). The result is annualized using a scaling factor (default: 252 trading days). Historical volatility represents the asset's past price fluctuation intensity, often used as a benchmark for realized risk (Hull, 2018).
Dynamic Background Visualization:
A dynamic background is used to highlight the relationship between IV and HV:
Yellow background: Implied volatility exceeds historical volatility, signaling elevated market expectations relative to past realized risk.
Blue background: Historical volatility exceeds implied volatility, suggesting the market might be underestimating future uncertainty.
Use Cases
Options Pricing and Trading:
The disparity between IV and HV provides insights into whether options are over- or underpriced. For example, when IV is significantly higher than HV, options traders might consider selling volatility-based derivatives to capitalize on elevated premiums (Natenberg, 1994).
Market Sentiment Analysis:
Implied volatility is often used as a proxy for market sentiment. Comparing IV to HV can help identify whether the market is overly optimistic or pessimistic about future risks.
Risk Management:
Institutional and retail investors alike use volatility measures to adjust portfolio risk exposure. Periods of high implied or historical volatility might necessitate rebalancing strategies to mitigate potential drawdowns (Campbell et al., 2001).
Volatility Trading Strategies:
Traders employing volatility arbitrage can benefit from understanding the IV/HV relationship. Strategies such as "long gamma" positions (buying options when IV < HV) or "short gamma" (selling options when IV > HV) are directly informed by these metrics.
Scientific Basis
The indicator leverages established financial principles:
Implied Volatility: Derived from the Black-Scholes-Merton model, implied volatility reflects the market's aggregate expectation of future price fluctuations (Black & Scholes, 1973).
Historical Volatility: Computed as the realized standard deviation of asset returns, historical volatility measures the intensity of past price movements, forming the basis for risk quantification (Jorion, 2007).
Behavioral Implications: IV often deviates from HV due to behavioral biases such as risk aversion and herding, creating opportunities for arbitrage (Baker & Wurgler, 2007).
Practical Considerations
Input Flexibility: Users can modify the length of the HV calculation and the annualization factor to suit specific markets or instruments.
Market Selection: The default ticker for implied volatility is the VIX (CBOE:VIX), but other volatility indices can be substituted for assets outside the S&P 500.
Data Frequency: This indicator is most effective on daily charts, as VIX data typically updates at a daily frequency.
Limitations
Implied volatility reflects the market's consensus but does not guarantee future accuracy, as it is subject to rapid adjustments based on news or events.
Historical volatility assumes a stationary distribution of returns, which might not hold during structural breaks or crises (Engle, 1982).
References
Black, F., & Scholes, M. (1973). "The Pricing of Options and Corporate Liabilities." Journal of Political Economy, 81(3), 637-654.
Whaley, R. E. (2000). "The Investor Fear Gauge." The Journal of Portfolio Management, 26(3), 12-17.
Hull, J. C. (2018). Options, Futures, and Other Derivatives. Pearson Education.
Natenberg, S. (1994). Option Volatility and Pricing: Advanced Trading Strategies and Techniques. McGraw-Hill.
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2001). The Econometrics of Financial Markets. Princeton University Press.
Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk. McGraw-Hill.
Baker, M., & Wurgler, J. (2007). "Investor Sentiment in the Stock Market." Journal of Economic Perspectives, 21(2), 129-151.
wuyx 59 imbwuy59 dùng break nến,
ema 5
ema 9
FVG
nến
Chủ yếu là cây nến đó phải tạo dc giao cắt của 2 EMA 5-9 thì xác suất win cao, hoặc nằm 1 bên của 2 EMA đang có độ dốc
Advanced Pivot Point Dashboard📊 Advanced Pivot Point Dashboard 📊
This indicator is designed to help you analyze key price levels using Pivot Points, Support, and Resistance levels. It combines visual lines on the chart with a detailed table for a comprehensive trading experience. Here's what it offers:
🎯 Key Features:
📈 Pivot Point Calculation:
Automatically calculates the Pivot Point (P) and Support/Resistance Levels (S1, S2, S3, R1, R2, R3) based on the previous day's high, low, and close prices.
📊 Table with Key Levels:
Displays all levels in a clean and organized table.
Shows the distance (%) of the current price from each level.
Includes a trend indicator (Bullish 🟢, Bearish 🔴, or Neutral ⚪) based on the price relative to the pivot point.
📏 Visual Lines on the Chart:
Draws horizontal lines for all key levels (Pivot Point, Supports, and Resistances).
Lines are automatically updated daily.
⚠️ Visual Alerts:
If the price is near a key level (within the specified alert distance), a warning icon (⚠️) appears in the table.
🔖 Optional Labels:
You can enable labels on the chart to easily identify each level (P, R1, R2, R3, S1, S2, S3).
🛠️ How to Use:
Add the Indicator:
Copy and paste the code into the Pine Script editor in TradingView.
Add the indicator to your chart.
Customize Inputs:
Show Labels: Toggle labels on the chart.
Alert Distance (%): Set the percentage distance for visual alerts.
Analyze Key Levels:
Use the lines on the chart to identify potential support and resistance zones.
Refer to the table for detailed information about each level, including distance and trend direction.
Set Alerts:
Use the warning icons (⚠️) in the table to identify when the price is approaching a key level.
📋 Table Columns:
Level: The name of the level (e.g., Pivot Point, R1, S2).
Price: The price value of the level.
Distance (%): How far the current price is from the level (in percentage).
Trend: Bullish 🟢, Bearish 🔴, or Neutral ⚪.
Alert: A warning icon (⚠️) if the price is near the level.
🚀 Why Use This Indicator?:
Comprehensive Analysis: Combines visual and tabular data for a complete view of key levels.
Customizable: Adjust the alert distance and toggle labels as needed.
Easy to Use: Perfect for both beginners and experienced traders.
📝 Example:
If the price is near R1, you'll see a warning icon (⚠️) in the table and a horizontal line on the chart.
The table will show the distance (%) from R1 and whether the trend is Bullish 🟢 or Bearish 🔴.
📌 Pro Tip:
Combine this indicator with other tools like moving averages or volume analysis for even better trading decisions!
Let me know if you have any questions or need further assistance! Happy trading! 🚀📈😊
RSI Divergence Indicator + STOCHThe RSI Divergence Indicator + STOCH is a combined technical analysis tool that helps traders identify potential reversal points in the market by analyzing two key momentum indicators: the Relative Strength Index (RSI) and the Stochastic Oscillator (STOCH).
RSI Divergence: The RSI measures the speed and change of price movements, ranging from 0 to 100. Divergence occurs when the price of an asset moves in the opposite direction of the RSI, signaling a potential shift in market direction. For example, if the price makes a higher high, but the RSI forms a lower high, this indicates a bearish divergence and suggests that upward momentum may be weakening.
Stochastic Oscillator (STOCH): The Stochastic Oscillator compares an asset's closing price to its price range over a specified period. It provides signals of overbought or oversold conditions, typically using a scale of 0 to 100. When the Stochastic line crosses above 80, it signals overbought conditions, and below 20 signals oversold conditions.
흑트3 시그널This indicator uses a double golden cross/dead cross between the WaveTrend WT line and the Signal line, combined with price divergence. The signal is triggered at the second golden cross or dead cross when specific conditions are met.
Long Signal
* Two golden crosses of the WaveTrend indicator must occur.
1. The first golden cross must happen below the WaveTrend oversold line.
2. The second golden cross must occur above the WaveTrend oversold line.
* The two golden crosses should move upward, while the price at the time of these crosses creates a downward divergence.
* A signal is triggered at the second golden cross if the above conditions are satisfied.
Short Signal
* Opposite to the long signal:
1. Two dead crosses of the WaveTrend indicator must occur.
2. The first dead cross must happen above the WaveTrend overbought line.
3. The second dead cross must occur below the WaveTrend overbought line.
* The two dead crosses should move downward, while the price at the time of these crosses creates an upward divergence.
* A signal is triggered at the second dead cross if the above conditions are satisfied.
Filter Options
1. Minimum Bars Option
* The second golden/dead cross will only be displayed if it occurs after a minimum number of bars (e.g., 5 bars) from the first golden/dead cross found in the oversold/overbought zone (-60/60).
* Any golden/dead cross found within fewer bars than the specified minimum is ignored.
2. Maximum Bars Option
* Only the second golden/dead cross occurring within the maximum number of bars (e.g., 25 bars) from the first golden/dead cross in the oversold/overbought zone (-60/60) will be displayed.
* Any golden/dead cross found beyond the maximum bar threshold is ignored.
시그널 설명
wavetrend WT라인과 시그널라인의 더블 골든크로스/데드크로스를 활용, 가격과의 다이버전스를 이용한 기법으로 조건에 맞는 두번째 골크나 데크에서 시그널 발생.
롱 조건
wavetrend 골든크로스가 두번 발생해야 함.
첫번째 골든 크로스는 wavetrend oversold 라인 아래에 위치해야 하고 두번째 골든 크로스는 oversold 라인 위에 위치해야함.
두개의 골든 크로스는 위로 올라가고 골든 크로스들이 발생한 시점의 가격은 내려가는 다이버전스를 만들어야 함.
위 조건들이 만족될 때 두번째 골든 크로스가 발생시 시그널 발생.
숏 조건
롱과는 반대
wavetrend 데드크로스가 두번 발생해야 함.
첫번째 데드 크로스는 wavetrend overbought 라인 위에 위치해야 하고 두번째 데드크로스는 overbought 라인 아래에 위치해야함.
두개의 데드 크로스는 아래로 내려가고 데드 크로스들이 발생한 시점의 가격은 올라가는 다이버전스를 만들어야 함.
위 조건들이 만족될 때 두번째 골든 크로스가 발생시 시그널 발생.
Filter 옵션
최소바 옵션 : 과매도/과매수(-60/60) 구간에서 발견한 첫번째 골크/데크에서 최소 지정된 바(e.g 5) 개수 이상에서만 발견된 두번째 골크/데크 표시. 최소바 기준 안에서 발견된 골크/데크는 무시.
최대바 옵션: 과매도/과매수(-60/60) 구간에서 발견한 첫번째 골크/데크에서 최대 지정된 바(e.g 25) 개수 안에있는 발견된 두번째 골크/데크들만 표시. 최대바 기준을 넘어서는 너무 먼 골크/데크는 무시.
ADX (levels)This Pine Script indicator calculates and displays the Average Directional Index (ADX) along with the DI+ and DI- lines to help identify the strength and direction of a trend. The script is designed for Pine Script v6 and includes customizable settings for a more tailored analysis.
Features:
ADX Calculation:
The ADX measures the strength of a trend without indicating its direction.
It uses a smoothing method for more reliable trend strength detection.
DI+ and DI- Lines (Optional):
The DI+ (Directional Index Plus) and DI- (Directional Index Minus) help determine the direction of the trend:
DI+ indicates upward movement.
DI- indicates downward movement.
These lines are disabled by default but can be enabled via input settings.
Customizable Threshold:
A horizontal line (hline) is plotted at a user-defined threshold level (default: 20) to highlight significant ADX values that indicate a strong trend.
Slope Analysis:
The slope of the ADX is analyzed to classify the trend into:
Strong Trend: Slope is higher than a defined "medium" threshold.
Moderate Trend: Slope falls between "weak" and "medium" thresholds.
Weak Trend: Slope is positive but below the "weak" threshold.
A background color changes dynamically to reflect the strength of the trend:
Green (light or dark) indicates trend strength levels.
Custom Colors:
ADX color is customizable (default: pink #e91e63).
Background colors for trend strength can also be adjusted.
Independent Plot Window:
The indicator is displayed in a separate window below the price chart, making it easier to analyze trend strength without cluttering the main price chart.
Parameters:
ADX Period: Defines the lookback period for calculating the ADX (default: 14).
Threshold (hline): A horizontal line value to differentiate strong trends (default: 20).
Slope Thresholds: Adjustable thresholds for weak, moderate, and strong trend slopes.
Enable DI+ and DI-: Boolean options to display or hide the DI+ and DI- lines.
Colors: Customizable colors for ADX, background gradients, and other elements.
How to Use:
Identify Trend Strength:
Use the ADX value to determine the strength of a trend:
Below 20: Weak trend.
Above 20: Strong trend.
Analyze Trend Direction:
Enable DI+ and DI- to check whether the trend is upward (DI+ > DI-) or downward (DI- > DI+).
Dynamic Slope Detection:
Use the background color as a quick visual cue to assess trend strength changes.
This indicator is ideal for traders who want to measure trend strength and direction dynamically while maintaining a clean and organized chart layout.
