Intraday Pivot Highs & Lows (Asia London NY)Intraday Pivot Highs & Lows (Asia London NY)
Script Description
This TradingView indicator is optimized for Forex, scalping, intraday, and day trading strategies. It accurately plots Pivot Points and levels, high/low, support and resistance levels. These are clearly identified to aid the trader during killzone sessions and session opens. Ideal for scalp trading, intraday sessions, and leveraging SMT (Smart Money Techniques). Utilize these Price Levels effectively during London Open, NY Open, and the Asia Session, utilizing Market Structure to pinpoint key levels and reversal zones for successful trading. Improve your Trade Setups, recognize reliable Chart Patterns, identify critical Price Pivots, and trade confidently off Institutional Levels.
This script marks the intraday pivot highs, lows and midpoints retracement levels for
Asia
London
New York
It also plots the previous day's high, low, midpoint, and 0.618 Fibonacci retracement levels, providing traders with critical price reference points for making intraday trading decisions.
Originality & Usefulness
This indicator uniquely integrates pivot calculations across three major Forex sessions (Asia, London, NY), clearly delineating session boundaries.
It enhances visibility by using distinct styling
solid for New York
dashed for London
dotted lines for Asia
And colour co-ordinated labeling, improving traders' ability to identify important intraday price action zones efficiently. Unlike standard pivot indicators, this script emphasizes session-specific trading dynamics.
### Key Features ###
Session-Based Levels: Automatically plots high, low, midpoint, and Fibonacci (.618) levels for each major session (Asia, London, NY).
Distinct Visual Cues: Lines and labels use session-specific styles and colors to easily differentiate between sessions.
Previous Day Reference: Clearly plots and labels yesterday's high, low, midpoint, and Fibonacci levels.
Flexible Visibility: Traders can set timeframe visibility to maintain clean charts on higher timeframes.
### How It Works
At the start of next day's session, previous session lines are cleared, ensuring the chart remains uncluttered.
High, low, midpoint, and Fibonacci retracement levels (.618) are dynamically calculated and displayed at the close of each session.
All session levels remain visible until the start of the next respective session, providing continuous actionable insights.
Trading Application:
Session highs and lows act as strong intraday support and resistance zones.
Midpoints and Fibonacci levels are effective for identifying potential reversal zones and retracements.
Daily levels provide a broader context, useful for gauging intraday volatility and range.
### Limitations and Considerations ##
Best used on liquid assets with clear session-based price action, such as Forex major pairs, if used on indexes make sure they contain 24 hour price action not just New York session.
This indicator is designed to streamline intraday trading by clearly marking essential pivot points and session-based levels, significantly improving traders' market context and decision-making accuracy. Can be used to enhance SMT decision making when scalping killzones.
Indicators and strategies
EarlyBird MA Signals (MultiTimeFrame)Since there is the option in TradingView to set alerts on whole watchlists I wanted to have an indicator which alerts when a special "moving average crossing" on higher timeframe is happening.
I chose to be alerted when there is a "Golden/Death Cross" (SMA) on daily timeframe or when EMA20 crosses EMA50 on weekly timeframe. The plotshapes of the "higher timeframes" are visible on the "middle/lower timeframes". The lines are not visible when you add the indicator to your chart, you've to activate the checkbox.
Please check also my indicator "EMA (5,8,13,200) Strategy with Signals", maybe you want to combine both.
Ehlers Regime Dynamic CandlesCore Calculation Mechanism
The indicator uses advanced Ehlers signal processing techniques to identify market regimes and create dynamically colored candles that reflect market conditions.
Super Smoother Filter: Price data (open, high, low, close) is processed through an Ehlers Super Smoother Filter to reduce market noise while preserving important price movements. This creates a clearer signal for regime detection.
Autocorrelation Analysis: The core of regime detection uses autocorrelation functions at different lag periods:
Primary autocorrelation measures correlation between the current price and its previous value
Trending autocorrelation measures longer-term persistence in the data series
These values combined determine if the market is in a trending or choppy regime
(Image showing Ehlers custom candles vs default candlesticks)
Regime Strength Calculation:
-Raw signal from autocorrelation with user-defined threshold adjustment
-Adaptive scaling based on sensitivity parameter
-Optional volume validation that confirms signal strength using volume data
-Normalization to 0-1 range and smoothing for visual consistency
-Percentile ranking to provide contextually meaningful strength values
Fisher Transform: Applied to the smoothed price to identify statistical extremes, which helps adjust transparency levels during significant price movements.
Key Features & Components
Regime Detection: Identifies trending vs. choppy market conditions using Ehlers' autocorrelation techniques.
Dynamic Candle Coloring: Candles transition smoothly between three color states:
Bullish trending (typically green/teal)
Bearish trending (typically red/purple)
Choppy/neutral (typically blue/silver)
Volume Validation: Optional incorporation of volume data to confirm trend strength (stronger volume during trending periods increases confidence).
Adaptive Transparency: Candles become more opaque during statistically significant price movements based on Fisher Transform values.
Gradient Smoothing: Controls the visual transition between regime states for a more aesthetically pleasing appearance.
Customizable Colors and Style: Full control over all visual aspects including candle body/wick colors and transparency.
Configuration Options
Users can adjust the following parameters in the indicator settings:
Main Settings:
Cycle Length: Controls the lookback period for cycle detection. Lower values increase responsiveness but may introduce noise.
Gradient Smoothness: Determines how quickly colors transition when regime changes.
Trend Detection Threshold: Sets the autocorrelation strength required to classify a trend.
Trend Sensitivity: Scales regime strength calculation to produce a better distribution of values.
Use Volume: Toggles whether volume data is used to validate trend strength.
Color Settings:
Trending Regime Colors: Separate color options for bullish and bearish candle bodies and wicks.
Choppy Regime Colors: Color options for candle bodies and wicks during sideways/neutral markets.
Style Settings:
Candle Border Options: Toggle borders and adjust their color and transparency.
Adaptive Transparency: Enable/disable dynamic transparency based on statistical significance.
Base Transparency: Set the baseline transparency level for all candles.
Interpretation Notes
Color Transitions: As the market shifts between regimes, candle colors gradually transition, providing visual cues about market structure changes.
Regime Strength: The intensity of colors indicates the strength of the detected regime:
Strong trending regimes show vibrant trending colors
Weak or mixed regimes display colors closer to the choppy/neutral color
Transitions between regimes show gradient colors
Transparency Changes: More opaque candles indicate statistically significant price movements, while more transparent candles suggest routine or less significant price action.
Volume Interaction: When volume validation is enabled, trending colors become more pronounced during high volume trends and subdued during low volume periods.
Disclaimer: These are custom candles that are significantly different from normal candlesticks.
Unlike traditional candlesticks that display raw price data, these candles:
• Use Ehlers signal processing to filter and smooth price data
• Dynamically change color based on detected market regimes
• Show statistical significance through transparency
• May appear delayed compared to standard candles due to the filtering process
Traditional trading strategies dependent on candlestick patterns will not work with these.
Risk Disclaimer
Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose. The Ehlers Regime Dynamic Candles indicator should be used as part of a comprehensive trading approach, not as a standalone trading system.
SMCFunctionsLibrary "SMCFunctions"
findSwingPoints(high, low, swing_size)
Parameters:
high (float)
low (float)
swing_size (int)
detectBOS(close, high, low, prevHigh, prevLow, highActive, lowActive, bos_conf_type)
Parameters:
close (float)
high (float)
low (float)
prevHigh (float)
prevLow (float)
highActive (bool)
lowActive (bool)
bos_conf_type (string)
getBOSDetails(highBroken, lowBroken, prevHigh, prevLow, prevSwing, prevHighIndex, prevLowIndex, input_show_choch)
Parameters:
highBroken (bool)
lowBroken (bool)
prevHigh (float)
prevLow (float)
prevSwing (int)
prevHighIndex (int)
prevLowIndex (int)
input_show_choch (bool)
calculateRetracementLevels(start_price, end_price)
Parameters:
start_price (float)
end_price (float)
Closest Candle to EMA (CCE)🔍 Closest Candle to EMA (CCE)
The Closest Candle to EMA (CCE) indicator is a visual analytical tool designed to identify the historical price (candle close) that is closest to the current Exponential Moving Average (EMA) over a user-defined period. This allows traders to easily detect how price has interacted with the trend line recently, providing insights into potential mean reversion, support/resistance, and price convergence behavior.
📌 Key Features
✅ Highlights the candle with a closing price closest to the current EMA
✅ Customizable EMA length for various trading styles and timeframes
✅ Helps detect potential zones of trend interaction
✅ Supports analysis of price behavior near dynamic support/resistance
✅ Lightweight and non-intrusive visual overlay (red = closest price, blue = EMA)
🧠 How It Works
The script calculates the EMA using the user-defined length (default: 20).
It then scans the last N candles (equal to the EMA length) and finds the one whose closing price is closest to the current EMA value.
That close is highlighted in red, while the EMA is shown in blue.
This comparison helps traders understand the proximity of past price action to the current trend level.
💡 Use Cases
Mean Reversion Strategies – Spot when price historically reverts to the trend
Dynamic Support/Resistance Identification – Find levels where price respected or returned to the EMA
Consolidation Zone Analysis – Identify areas where price hovered around trend lines
Backtesting Trend Sensitivity – See how price reacted to EMA over time
⚙️ Settings
EMA Length – Set the number of periods used for EMA and comparison window (default: 20)
📊 Example Strategy Setup – EMA Touch with Reversal Candle
This indicator can be incorporated into a price-action strategy that combines candlestick patterns, EMA proximity, and volume confirmation. Here's a practical use case:
🔧 Note: This setup is designed specifically with the EMA length set to 9.
🔁 Bullish Setup – Hammer + EMA (in uptrend)
The market is in an uptrend, confirmed by EMA(9) sloping upward
A Hammer candlestick forms
The EMA (blue) must touch the lower shadow (wick) of the Hammer
It must not touch the candle body
Candle volume is above average
→ ✅ This may signal a bullish continuation opportunity
🔁 Bearish Setup – Shooting Star + EMA (in downtrend)
The market is in a downtrend, confirmed by EMA(9) sloping downward
A Shooting Star candlestick forms
The EMA (blue) must touch the upper shadow (wick) of the candle
It must not touch the candle body
Candle volume is above average
CB Composite Index LineThis indicator was defined by Constance Brown in her book, "TECHNICAL ANALYSIS FOR THE TRADING PROFESSIONAL", Second Edition, 2011, Published by McGraw Hill Publishing.
PORTFOLIO TABLE Simple [Titans_Invest]PORTFOLIO TABLE Simple
This is a simple table for you to monitor your assets or cryptocurrencies in your SPOT wallet without needing to access your broker’s website or wallet app.
⯁ HOW TO USE THIS TABLE❓
You only need to select the asset and enter the amount of each one.
The table will show how much you have of each asset and the total value of your portfolio.
You’ll be able to monitor up to 39 assets in real time.
⯁ CONVERT VALUES
You can also activate and select a currency for conversion.
For example, cryptocurrency assets are calculated in US dollars, but you can select euros as the conversion currency.
The values originally in dollars will then be displayed in euros.
⯁ Track your Portfolio in real time:
⯁ Add your local Currency to Convert Values:
⯁ Follow your Portfolio Live:
___________________________________________________________
📜 SCRIPT : PORTFOLIO TABLE Simple
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
___________________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
.ppdd- SPX **************** X2combo of multiple indicators, including VWAP, BB, Volume histogram, RSI, SMA, EMA, HLC, MAG7
MACD with Bollinger Band Signal + Histogram🔄 MACD with Bollinger Band Signal + Histogram
This advanced indicator is a unique variation of the classic MACD. Instead of using a traditional signal line, it overlays Bollinger Bands directly on the MACD line, allowing for a more dynamic and volatility-aware momentum analysis. It also includes a histogram that visualizes the divergence between the MACD line and the BB midline.
✅ Key Features:
Custom MACD Line: Based on user-defined fast and slow EMA periods.
Bollinger Band Signal:
Applied directly to the MACD line (not price).
Customizable period, standard deviation, color, and fill opacity.
Highlights volatility around the MACD to identify expansion and contraction phases.
Histogram:
Measures the difference between the MACD line and the BB midline.
Helps identify bullish or bearish momentum shifts.
Color-coded for clarity (green = bullish, red = bearish).
📌 Use Cases:
Identify momentum breakouts when MACD moves outside the BB envelope.
Spot trend weakening or reversal when MACD reverts to the BB basis.
Use histogram direction and color to confirm trend strength and momentum bias.
A powerful upgrade to the standard MACD for more volatility-sensitive signals.
Burr 5 Minute SHASHA candles to show trend and also provide buy sell signals with volume spike 1.5%. Adjustable settings
Modern Economic Eras DashboardOverview
This script provides a historical macroeconomic visualization of U.S. markets, highlighting long-term structural "eras" such as the Bretton Woods period, the inflationary 1970s, and the post-2020 "Age of Disorder." It overlays key economic indicators sourced from FRED (Federal Reserve Economic Data) and displays notable market crashes, all in a clean and rescaled format for easy comparison.
Data Sources & Indicators
All data is loaded monthly from official FRED series and rescaled to improve readability:
🔵 Real GDP (FRED:GDP): Total output of the U.S. economy.
🔴 Inflation Index (FRED:CPIAUCSL): Consumer price index as a proxy for inflation.
⚪ Debt to GDP (FRED:GFDGDPA188S): Federal debt as % of GDP.
🟣 Labor Force Participation (FRED:CIVPART): % of population in the labor force.
🟠 Oil Prices (FRED:DCOILWTICO): Monthly WTI crude oil prices.
🟡 10Y Real Yield (FRED:DFII10): Inflation-adjusted yield on 10-year Treasuries.
🔵 Symbol Price: Optionally overlays the charted asset’s price, rescaled.
Historical Crashes
The dashboard highlights 10 major U.S. market crashes, including 1929, 2000, and 2008, with labeled time spans for quick context.
Era Classification
Six macroeconomic eras based on Deutsche Bank’s Long-Term Asset Return Study (2020) are shaded with background color. Each era reflects dominant economic regimes—globalization, wars, monetary systems, inflationary cycles, and current geopolitical disorder.
Best Use Cases
✅ Long-term macro investors studying structural market behavior
✅ Educators and analysts explaining economic transitions
✅ Portfolio managers aligning strategy with macroeconomic phases
✅ Traders using history for cycle timing and risk assessment
Technical Notes
Designed for monthly timeframe, though it works on weekly.
Uses close price and standard request.security calls for consistency.
Max labels/lines configured for broader history (from 1860s to present).
All plotted series are rescaled manually for better visibility.
Originality
This indicator is original and not derived from built-in or boilerplate code. It combines multiple economic dimensions and market history into one interactive chart, helping users frame today's markets in a broader structural context.
ZenLab ATR FNSThis indicator was created specifically for Zen Labs which includes a custom ATR (Average True Range) table that displays the ATR value for a selected period of candles.
ATR is a volatility indicator that measures the average range between high and low prices over a given number of periods. It helps traders assess how much an asset typically moves, providing valuable information for setting stop losses, take profits, or identifying market conditions. It adapts to changing market conditions, making it useful across different timeframes and asset classes.
How the ATR Indicator Works:
The ATR is based on the concept of True Range (TR), which is the greatest of the following three values:
- Current High minus Current Low
- Absolute value of Current High minus Previous Close
- Absolute value of Current Low minus Previous Close
Averaging the True Range:
Once the True Range is calculated for each period, the ATR is computed by averaging these True Ranges over a set number of periods and is displayed in the table.
Interpreting the ATR:
- A higher ATR value indicates higher volatility—prices are moving more significantly.
- A lower ATR value indicates lower volatility—prices are more stable and less active.
Enjoy!
- Rebel Empire
BTC Scalping Strategy (BB & RSI)Courtesy of Copilot a BTC Scalping strategy that is surprisingly profitable (with no commission) on a 1min timeframe.
Burr 5 MIN SHASmooth Heiken Ashi candles with Volume Spike setting to give accurate Buy and Sell Signals.
Burr 5 Minute SHASmooth Heiken Ashi candles with buy sell indicators. Can adjust volume spike ratio to provide more accurate signals. Works best with 5 minute timeframe but settings are adjustable.
ETI IndicatorThe Ensemble Technical Indicator (ETI) is a script that combines multiple established indicators into one single powerful indicator. Specifically, it takes a number of technical indicators and then converts them into +1 to represent a bullish trend, or a -1 to represent a bearish trend. It then adds these values together and takes the running sum over the past 20 days.
The ETI is composed of the following indicators and converted to +1 or -1 using the following criteria:
Simple Moving Average (10 days) : When the price is above the 10-day simple moving averaging, +1, when below -1
Weighted Moving Average (10 days) : Similar to the SMA 10, when the the price is above the 10-day weighted moving average, +1, when below -1
Stochastic K% : If the current Stochastic K% is greater than the previous value, then +1, else -1.
Stochastic D% : Similar to the Stochastic K%, when the current Stochastic D% is greater than the previous value, +1, else -1.
MACD Difference : First subtract the MACD signal (i.e. the moving average) from the MACD value and if the current value is higher than the previous value, then +1, else -1.
William's R% : If the current William's R% is greater than the previous one, then +1, else -1.
William's Accumulation/Distribution : If the current William's AD value is greater than the previous value, then +1, else -1.
Commodity Channel Index : If the Commodity Channel Index is greater than 200 (overbought), then -1, if it is less than -200 (oversold) then +1. When it is between those values, if the current value is greater than the previous value then +1, else -1.
Relative Strength Index : If the Relative Strength Index is over 70 (overbought) then -1 and if under 30 (oversold) then +1. If the Relative Strength Indicator is between those values then if the current value is higher than the previous value +1, else -1.
Momentum (9 days) : If the momentum value is greater than 0, then +1, else -1.
Again, once these values have been calculated and converted, they are added up to produce a single value. This single value is then summed across the previous 20 candles to produce a running sum.
By coalescing multiple technical indicators into a single value across time, traders can better understand how multiple inter-related indicators are behaving at once; high scores indicate that numerous indicators are showing bullish signals indicating a potential or ongoing uptrend (and vice-versa with low scores).
Additional Features
Numerous smoothing transformations have also been added (e.g. gaussian smoothing) to remove some of the noise might exist.
Suggested Use
It is recommended that stocks are shorted when the cross below 0, and are bought when the ETI crosses above -40. Arrows can be shown on the indicator to show these points. However feel free to use levels that work best for you.
Traditionally, I have treated values above +50 as overbought and below -40 as undersold (with -80 indicating extremely oversold); however these levels could also indicate either upwards and downwards momentum so taking a position based on where the ETI is (rather than crossing levels) should be done with caution.
3 Bollinger Bands (Shaded) & 5 EMAs3 Bollinger Bands (Shaded) & 5 EMAs – Multi-Timeframe Trend & Volatility Indicator
This powerful and customizable indicator overlays three shaded Bollinger Bands and five Exponential Moving Averages (EMAs) on your chart. It's designed to give traders a clear view of volatility, trend direction, and dynamic support/resistance levels across multiple timeframes.
✅ Features:
3 Bollinger Bands:
Independent configuration of period, standard deviation, timeframe, and color.
Beautiful shaded zones between upper and lower bands for clear visualization of volatility.
5 EMAs:
Fully customizable period, timeframe, and color.
Useful for identifying multi-timeframe trend alignment and crossovers.
🔧 Use Cases:
Confirm trend strength and direction.
Spot mean reversion or breakout zones using Bollinger Bands.
Detect dynamic support/resistance via EMAs.
Align short-term and long-term trends using multi-timeframe analysis.
🛠️ How to Use:
Customize each EMA and BB to your preferred settings.
Use shaded bands to identify high-volatility zones or squeeze conditions.
Watch for price interacting with key EMAs or bouncing within/outside Bollinger Bands for trade setups.
Entropy Chart Analysis [PhenLabs]📊 Entropy Chart analysis -
Version: PineScript™ v6
📌 Description
The Entropy Chart indicator analysis applies Approximate Entropy (ApEn) to identify zones of potential support and resistance on your price chart. It is designed to locate changes in the market’s predictability, with a focus on zones near significant psychological price levels (e.g., multiples of 50). By quantifying entropy, the indicator aims to identify zones where price action might stabilize (potential support) or become randomized (potential resistance).
This tool automates the visualization of these key areas for traders, which may have the effect of revealing reversal levels or consolidation zones that would be hard to discern through traditional means. It also filters the signals by proximity to key levels in an attempt to reduce noise and highlight higher-probability setups. These dynamic zones adapt to changing market conditions by stretching, merging, and expiring based on user-inputted rules.
🚀 Points of Innovation
Combines Approximate Entropy (ApEn) calculation with price action near significant levels.
Filters zone signals based on proximity (in ticks) to predefined significant price levels (multiples of 50).
Dynamically merges overlapping or nearby zones to consolidate signals and reduce chart clutter.
Uses ApEn crossovers relative to its moving average as the core trigger mechanism.
Provides distinct visual coloring for bullish, bearish, and merged (mixed-signal) zones.
Offers comprehensive customization for entropy calculation, zone sensitivity, level filtering, and visual appearance.
🔧 Core Components
Approximate Entropy (ApEn) Calculation : Measures the regularity or randomness of price fluctuations over a specified window. Low ApEn suggests predictability, while high ApEn suggests randomness.
Zone Trigger Logic : Creates potential support zones when ApEn crosses below its average (indicating increasing predictability) and potential resistance zones when it crosses above (indicating increasing randomness).
Significant Level Filter : Validates zone triggers only if they occur within a user-defined tick distance from significant price levels (multiples of 50).
Dynamic Zone Management : Automatically creates, extends, merges nearby zones based on tick distance, and removes the oldest zones to maintain a maximum limit.
Zone Visualization : Draws and updates colored boxes on the chart to represent active support, resistance, or mixed zones.
🔥 Key Features
Entropy-Based S/R Detection : Uses ApEn to identify potential support (low entropy) and resistance (high entropy) areas.
Significant Level Filtering : Enhances signal quality by focusing on entropy changes near key psychological price points.
Automatic Zone Drawing & Merging : Visualizes zones dynamically, merging close signals for clearer interpretation.
Highly Customizable : Allows traders to adjust parameters for ApEn calculation, zone detection thresholds, level filter sensitivity, merging distance, and visual styles.
Integrated Alerts : Provides built-in alert conditions for the formation of new bullish or bearish zones near significant levels.
Clear Visual Output : Uses distinct, customizable colors for buy (support), sell (resistance), and mixed (merged) zones.
🎨 Visualization
Buy Zones : Represented by greenish boxes (default: #26a69a), indicating potential support areas formed during low entropy periods near significant levels.
Sell Zones : Represented by reddish boxes (default: #ef5350), indicating potential resistance areas formed during high entropy periods near significant levels.
Mixed Zones : Represented by bluish/purple boxes (default: #8894ff), formed when a buy zone and a sell zone merge, indicating areas of potential consolidation or conflict.
Dynamic Extension : Active zones are automatically extended to the right with each new bar.
📖 Usage Guidelines
Calculation Parameters
Window Length
Default: 15
Range: 10-100
Description: Lookback period for ApEn calculation. Shorter lengths are more responsive; longer lengths are smoother.
Embedding Dimension (m)
Default: 2
Range: 1-6
Description: Length of patterns compared in ApEn calculation. Higher values detect more complex patterns but require more data.
Tolerance (r)
Default: 0.5
Range: 0.1-1.0 (step 0.1)
Description: Sensitivity factor for pattern matching (as a multiple of standard deviation). Lower values require closer matches (more sensitive).
Zone Settings
Zone Lookback
Default: 5
Range: 5-50
Description: Lookback period for the moving average of ApEn used in threshold calculations.
Zone Threshold
Default: 0.5
Range: 0.5-3.0
Description: Multiplier for the ApEn average to set crossover trigger levels. Higher values require larger ApEn deviations to create zones.
Maximum Zones
Default: 5
Range: 1-10
Description: Maximum number of active zones displayed. The oldest zones are removed first when the limit is reached.
Zone Merge Distance (Ticks)
Default: 5
Range: 1-50
Description: Maximum distance in ticks for two separate zones to be merged into one.
Level Filter Settings
Tick Size
Default: 0.25
Description: The minimum price increment for the asset. Must be set correctly for the specific instrument to ensure accurate level filtering.
Max Ticks Distance from Levels
Default: 40
Description: Maximum allowed distance (in ticks) from a significant level (multiple of 50) for a zone trigger to be valid.
Visual Settings
Buy Zone Color : Default: color.new(#26a69a, 83). Sets the fill color for support zones.
Sell Zone Color : Default: color.new(#ef5350, 83). Sets the fill color for resistance zones.
Mixed Zone Color : Default: color.new(#8894ff, 83). Sets the fill color for merged zones.
Buy Border Color : Default: #26a69a. Sets the border color for support zones.
Sell Border Color : Default: #ef5350. Sets the border color for resistance zones.
Mixed Border Color : Default: color.new(#a288ff, 50). Sets the border color for mixed zones.
Border Width : Default: 1, Range: 1-3. Sets the thickness of zone borders.
✅ Best Use Cases
Identifying potential support/resistance near significant psychological price levels (e.g., $50, $100 increments).
Detecting potential market turning points or consolidation zones based on shifts in price predictability.
Filtering entries or exits by confirming signals occurring near significant levels identified by the indicator.
Adding context to other technical analysis approaches by highlighting entropy-derived zones.
⚠️ Limitations
Parameter Dependency : Indicator performance is sensitive to parameter settings ( Window Length , Tolerance , Zone Threshold , Max Ticks Distance ), which may need optimization for different assets and timeframes.
Volatility Sensitivity : High market volatility or erratic price action can affect ApEn calculations and potentially lead to less reliable zone signals.
Fixed Level Filter : The significant level filter is based on multiples of 50. While common, this may not capture all relevant levels for every asset or market condition. Accurate Tick Size input is essential.
Not Standalone : Should be used in conjunction with other analysis methods (price action, volume, other indicators) for confirmation, not as a sole basis for trading decisions.
💡 What Makes This Unique
Entropy + Level Context : Uniquely combines ApEn analysis with a specific filter for proximity to significant price levels (multiples of 50), adding locational context to entropy signals.
Intelligent Zone Merging : Automatically consolidates nearby buy/sell zones based on tick distance, simplifying visual analysis and highlighting stronger confluence areas.
Targeted Signal Generation : Focuses alerts and zone creation on specific market conditions (entropy shifts near key levels).
🔬 How It Works
Calculate Entropy : The script computes the Approximate Entropy (ApEn) of the closing prices over the defined Window Length to quantify price predictability.
Check Triggers : It monitors ApEn relative to its moving average. A crossunder below a calculated threshold (avg_apen / zone_threshold) indicates potential support; a crossover above (avg_apen * zone_threshold) indicates potential resistance.
Filter by Level : A potential zone trigger is confirmed only if the low (for support) or high (for resistance) of the trigger bar is within the Max Ticks Distance of a significant price level (multiple of 50).
Manage & Draw Zones : If a trigger is confirmed, a new zone box is created. The script checks for overlaps with existing zones within the Zone Merge Distance and merges them if necessary. Zones are extended forward, and the oldest are removed to respect the Maximum Zones limit. Active zones are drawn and updated on the chart.
💡 Note:
Crucially, set the Tick Size parameter correctly for your specific trading instrument in the “Level Filter Settings”. Incorrect Tick Size will make the significant level filter inaccurate.
Experiment with parameters, especially Window Length , Tolerance (r) , Zone Threshold , and Max Ticks Distance , to tailor the indicator’s sensitivity to your preferred asset and timeframe.
Always use this indicator as part of a comprehensive trading plan, incorporating risk management and seeking confirmation from other analysis techniques.
Market Cap & Turnover (in Cr)This script will suggest Market cap & Close price X volume in Rs crore
can be use to find out liquidity rush
Perfect Daily Markers FINALsalamtak legamrey yessssssssss. very good indicator that helps you identefy the high and low of all days and mark the time: between 15:30 and 19:00
Relative Strength Index with Percentile📈 Relative Strength Index with Percentile Rank (RSI + Percentile)
This advanced RSI indicator adds a powerful percentile ranking system to the classic Relative Strength Index, providing deeper insight into current RSI values relative to recent history.
🔍 Key Features:
Standard RSI Calculation: Identifies overbought/oversold levels using a customizable period.
RSI Percentile (0–100%): Calculates where the current RSI value stands within a user-defined lookback period.
Dynamic Background Coloring:
🟩 Green when RSI percentile is above 80% (strong relative strength)
🟥 Red when RSI percentile is below 20% (strong relative weakness)
Optional Divergence Detection: Spot classic bullish and bearish divergences between price and RSI.
Smoothing Options: Apply various moving averages (SMA, EMA, RMA, etc.) to the RSI, with optional Bollinger Bands.
Flexible Settings: Full control over lookback periods, smoothing type, and band sensitivity.
🧠 Why Use RSI Percentile?
Traditional RSI values can become less informative during trending markets. By ranking the RSI as a percentile, you gain contextual insight into whether the current strength is unusually high or low compared to recent history, rather than just a fixed 70/30 threshold.