Parabolic Run Detector (With Weighted Caution)This indicator, Parabolic Run Detector (With Weighted Caution), is designed to help traders identify moments of strong directional movement (I call it a run) in asset prices, especially those that exhibit a parabolic character. It uses a combination of log-scale price slopes, RSI momentum, and Ichimoku cloud structure (via the very useful Tenkan-Kijun "clamp") to evaluate whether a price move has both strength and sustainability. When certain thresholds are met, it marks the beginning of a potential run with a green circle below the price chart, helping traders spot entries early in high-momentum conditions.
In addition to identifying the start of a run, the indicator also looks for end-of-run caution signals. These are marked with orange circles, indicating potential exhaustion or overextension. The caution logic doesn’t require all conditions to trigger at once — instead, it uses a weighted scoring system based on RSI extension, slowing price momentum (second derivative), and the widening of the Ichimoku clamp. If these conditions cross a confidence threshold within a set number of bars after a run begins, the caution signal fires. This allows traders to stay alert to reversal or consolidation risks without being prematurely spooked by noise. So, choose to ignore them, but they are there for you to assess.
You can fine-tune sensitivity with a set of adjustable parameters, including minimum slope values, RSI reversion awareness (bias weight), clamp thresholds, and spacing between signals. So play around to see what works best for you! For advanced users, the option to toggle between static or dynamically calculated RSI baselines and adapt Ichimoku settings for crypto vs. legacy markets adds another layer of contextual accuracy. Whether you're trading Bitcoin on a 4-hour chart or scanning equities on a daily timeframe, this tool helps bring clarity to trend acceleration and potential fatigue, all while minimizing visual clutter and giving you intuitive visual cues.
Let me know what you think.
Komut dosyalarını "Cycle" için ara
New York Midnight Day SeparatorThis Pine Script indicator draws vertical separator lines on the chart at midnight in the New York timezone (Eastern Time). The lines mark the start of each new trading day from Monday to Friday, helping traders visually distinguish daily sessions based on New York market time. The separator lines are rendered as slightly transparent gray lines spanning the full price range of each midnight candle, providing a clean and unobtrusive visual aid for session tracking.
AWR R & LR Oscillator with plots & tableHello trading viewers !
I'm glad to share with you one of my favorite indicator. It's the aggregate of many things. It is partly based on an indicator designed by gentleman goat. Many thanks to him.
1. Oscillator and Correlation Calculations
Overview and Functionality: This part of the indicator computes up to 10 Pearson correlation coefficients between a chosen source (typically the close price, though this is user-configurable) and the bar index over various periods. Starting with an initial period defined by the startPeriod parameter and increasing by a set increment (periodIncrement), each correlation coefficient is calculated using the built-in ta.correlation function over successive ranges. These coefficients are stored in an array, and the indicator calculates their average (avgPR) to provide a complete view of the market trend strength.
Display Features: Each individual coefficient, as well as the overall average, is plotted on the chart using a specific color. Horizontal lines (both dashed and solid) are drawn at levels 0, ±0.8, and ±1, serving as visual thresholds. Additionally, conditional fills in red or blue highlight when values exceed these thresholds, helping the user quickly identify potential extreme conditions (such as overbought or oversold situations).
2. Visual Signals and Automated Alerts
Graphical Signal Enhancements: To reinforce the analysis, the indicator uses graphical elements like emojis and shape markers. For example:
If all 10 curves drop below -0.79, a 🌋 emoji appears at the bottom of the chart;
When curves 2 through 10 are below -0.79, a ⛰️ emoji is displayed below the bar, potentially serving as a buy signal accompanied by an alert condition;
Likewise, symmetrical conditions for correlations exceeding 0.79 produce corresponding emojis (🤿 and 🏖️) at the top or bottom of the chart.
Alerts and Notifications: Using these visual triggers, several alertcondition statements are defined within the script. This allows users to set up TradingView alerts and receive real-time notifications whenever the market reaches these predefined critical zones identified by the multi-period analysis.
3. Regression Channel Analysis
Principles and Calculations: In addition to the oscillator, the indicator implements an analysis of regression channels. For each of the 8 configurable channels, the user can set a range of periods (for example, min1 to max1, etc.). The function calc_regression_channel iterates through the defined period range to find the optimal period that maximizes a statistical measure derived from a regression parameter calculated by the function r(p). Once this optimal period is identified, the indicator computes two key points (A and B) which define the main regression line, and then creates a channel based on the calculated deviation (an RMSE multiplied by a user-defined factor).
The regression channels are not displayed on the chart but are used to plot shapes & fullfilled a table.
Blue shapes are plotted when 6th channel or 7th channel are lower than 3 deviations
Yellow shapes are plotted when 6th channel or 7th channel are higher than 3 deviations
4. Scores, Conditions, and the Summary Table
Scoring System: The indicator goes further by assigning scores across multiple analytical categories, such as:
1. BigPear Score
What It Represents: This score is based on a longer-term moving average of the Pearson correlation values (SMA 100 of the average of the 10 curves of correlation of Pearson). The BigPear category is designed to capture where this longer-term average falls within specific ranges.
Conditions: The script defines nine boolean conditions (labeled BigPear1up through BigPear9up for the “up” direction).
Here's the rules :
BigPear1up = (bigsma_avgPR <= 0.5 and bigsma_avgPR > 0.25)
BigPear2up = (bigsma_avgPR <= 0.25 and bigsma_avgPR > 0)
BigPear3up = (bigsma_avgPR <= 0 and bigsma_avgPR > -0.25)
BigPear4up = (bigsma_avgPR <= -0.25 and bigsma_avgPR > -0.5)
BigPear5up = (bigsma_avgPR <= -0.5 and bigsma_avgPR > -0.65)
BigPear6up = (bigsma_avgPR <= -0.65 and bigsma_avgPR > -0.7)
BigPear7up = (bigsma_avgPR <= -0.7 and bigsma_avgPR > -0.75)
BigPear8up = (bigsma_avgPR <= -0.75 and bigsma_avgPR > -0.8)
BigPear9up = (bigsma_avgPR <= -0.8)
Conditions: The script defines nine boolean conditions (labeled BigPear1down through BigPear9down for the “down” direction).
BigPear1down = (bigsma_avgPR >= -0.5 and bigsma_avgPR < -0.25)
BigPear2down = (bigsma_avgPR >= -0.25 and bigsma_avgPR < 0)
BigPear3down = (bigsma_avgPR >= 0 and bigsma_avgPR < 0.25)
BigPear4down = (bigsma_avgPR >= 0.25 and bigsma_avgPR < 0.5)
BigPear5down = (bigsma_avgPR >= 0.5 and bigsma_avgPR < 0.65)
BigPear6down = (bigsma_avgPR >= 0.65 and bigsma_avgPR < 0.7)
BigPear7down = (bigsma_avgPR >= 0.7 and bigsma_avgPR < 0.75)
BigPear8down = (bigsma_avgPR >= 0.75 and bigsma_avgPR < 0.8)
BigPear9down = (bigsma_avgPR >= 0.8)
Weighting:
If BigPear1up is true, 1 point is added; if BigPear2up is true, 2 points are added; and so on up to 9 points from BigPear9up.
Total Score:
The positive score (posScoreBigPear) is the sum of these weighted conditions.
Similarly, there is a negative score (negScoreBigPear) that is calculated using a mirrored set of conditions (named BigPear1down to BigPear9down), each contributing a negative weight (from -1 to -9).
In essence, the BigPear score tells you—in a weighted cumulative way—where the longer-term correlation average falls relative to predefined thresholds.
2. Pear Score
What It Represents: This category uses the immediate average of the Pearson correlations (avgPR) rather than a longer-term smoothed version. It reflects a more current picture of the market’s correlation behavior.
How It’s Calculated:
Conditions: There are nine conditions defined for the “up” scenario (named Pear1up through Pear9up), which partition the range of avgPR into intervals. For instance:
Pear1up = (avgPR > -0.2 and avgPR <= 0)
Pear2up = (avgPR > -0.4 and avgPR <= -0.2)
Pear3up = (avgPR > -0.5 and avgPR <= -0.4)
Pear4up = (avgPR > -0.6 and avgPR <= -0.5)
Pear5up = (avgPR > -0.65 and avgPR <= -0.6)
Pear6up = (avgPR > -0.7 and avgPR <= -0.65)
Pear7up = (avgPR > -0.75 and avgPR <= -0.7)
Pear8up = (avgPR > -0.8 and avgPR <= -0.75)
Pear9up = (avgPR > -1 and avgPR <= -0.8)
There are nine conditions defined for the “down” scenario (named Pear1down through Pear9down), which partition the range of avgPR into intervals. For instance:
Pear1down = (avgPR >= 0 and avgPR < 0.2)
Pear2down = (avgPR >= 0.2 and avgPR < 0.4)
Pear3down = (avgPR >= 0.4 and avgPR < 0.5)
Pear4down = (avgPR >= 0.5 and avgPR < 0.6)
Pear5down = (avgPR >= 0.6 and avgPR < 0.65)
Pear6down = (avgPR >= 0.65 and avgPR < 0.7)
Pear7down = (avgPR >= 0.7 and avgPR < 0.75)
Pear8down = (avgPR >= 0.75 and avgPR < 0.8)
Pear9down = (avgPR >= 0.8 and avgPR <= 1)
Weighting:
Each condition has an associated weight, such as 0.9 for Pear1up, 1.9 for Pear2up, and so on, up to 9 for Pear9up.
Sum up :
Pear1up = 0.9
Pear2up = 1.9
Pear3up = 2.9
Pear4up = 3.9
Pear5up = 4.99
Pear6up = 6
Pear7up = 7
Pear8up = 8
Pear9up = 9
Total Score:
The positive score (posScorePear) is the sum of these values for each condition that returns true.
A corresponding negative score (negScorePear) is calculated using conditions for when avgPR falls on the positive side, with similar weights in the negative direction.
This score quantifies the current correlation reading by translating its relative level into a numeric score through a weighted sum.
3. Trendpear Score
What It Represents: The Trendpear score is more dynamic as it compares the current avgPR with its short-term moving average (sma_avgPR / 14 periods ) and also considers its relationship with an even longer moving average (bigsma_avgPR / 100 periods). It is meant to capture the trend or momentum in the correlation behavior.
How It’s Calculated:
Conditions: Nine conditions (from Trendpear1up to Trendpear9up) are defined to check:
Whether avgPR is below, equal to, or above sma_avgPR by different margins;
Whether it is trending upward (i.e., it is higher than its previous value).
Here are the rules
Trendpear1up = (avgPR <= sma_avgPR -0.2) and (avgPR >= avgPR )
Trendpear2up = (avgPR > sma_avgPR -0.2) and (avgPR <= sma_avgPR -0.07) and (avgPR >= avgPR )
Trendpear3up = (avgPR > sma_avgPR -0.07) and (avgPR <= sma_avgPR -0.03) and (avgPR >= avgPR )
Trendpear4up = (avgPR > sma_avgPR -0.03) and (avgPR <= sma_avgPR -0.02) and (avgPR >= avgPR )
Trendpear5up = (avgPR > sma_avgPR -0.02) and (avgPR <= sma_avgPR -0.01) and (avgPR >= avgPR )
Trendpear6up = (avgPR > sma_avgPR -0.01) and (avgPR <= sma_avgPR -0.001) and (avgPR >= avgPR )
Trendpear7up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR <= bigsma_avgPR)
Trendpear8up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR >= bigsma_avgPR -0.03)
Trendpear9up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR >= bigsma_avgPR)
Weighting:
The weights here are not linear. For example, the lightest condition may add 0.1 point, whereas the most extreme condition (e.g., when avgPR is not only above the moving average but also reaches a high proportion relative to bigsma_avgPR) might add as much as 90 points.
Trendpear1up = 0.1
Trendpear2up = 0.2
Trendpear3up = 0.3
Trendpear4up = 0.4
Trendpear5up = 0.5
Trendpear6up = 0.69
Trendpear7up = 7
Trendpear8up = 8.9
Trendpear9up = 90
Total Score:
The positive score (posScoreTrendpear) is the sum of the weights from all conditions that are satisfied.
A negative counterpart (negScoreTrendpear) exists similarly for when the trend indicates a downward bias.
Trendpear integrates both the level and the direction of change in the correlations, giving a strong numeric indication when the market starts to diverge from its short-term average.
4. Deviation Score
What It Represents: The “Écart” score quantifies how far the asset’s price deviates from the boundaries defined by the regression channels. This metric can indicate if the price is excessively deviating—which might signal an eventual reversion—or confirming a breakout.
How It’s Calculated:
Conditions: For each channel (with at least seven channels contributing to the scoring from the provided code), there are three levels of deviation:
First tier (EcartXup): Checks if the price is below the upper boundary but above a second boundary.
Second tier (EcartXup2): Checks if the price has dropped further, between a lower and a more extreme boundary.
Third tier (EcartXup3): Checks if the price is below the most extreme limit.
Weighting:
Each tier within a channel has a very small weight for the lowest severities (for example, 0.0001 for the first tier, 0.0002 for the second, 0.0003 for the third) with weights increasing with the channel index.
First channel : 0.0001 to 0.0003 (very short term)
Second channel : 0.001 to 0.003 (short term)
Third channel : 0.01 to 0.03 (short mid term)
4th channel : 0.1 to 0.3 ( mid term)
5th channel: 1 to 3 (long mid term)
6th channel : 10 to 30 (long term)
7th channel : 100 to 300 (very long term)
Total Score:
The overall positive score (posScoreEcart) is the sum of all the weights for conditions met among the first, second, and third tiers.
The corresponding negative score (negScoreEcart) is calculated similarly (using conditions when the price is above the channel boundaries), with the weights being the same in magnitude but negative in sign.
This layered scoring method allows the indicator to reflect both minor and major deviations in a gradated and cumulative manner.
Example :
Score + = 321.0001
Score - = -0.111
The asset price is really overextended in long term view, not for mid term & short term expect the in the very short term.
Score + = 0.0033
Score - = -1.11
The asset price is really extended in short term view, not for mid term (even a bit underextended) & long term is neutral
5. Slope Score
What It Represents: The Slope score captures the trend direction and steepness of the regression channels. It reflects whether the regression line (and hence the underlying trend) is sloping upward or downward.
How It’s Calculated:
Conditions:
if the slope has a uptrend = 1
if the slope has a downtrend = -1
Weighting:
First channel : 0.0001 to 0.0003 (very short term)
Second channel : 0.001 to 0.003 (short term)
Third channel : 0.01 to 0.03 (short mid term)
4th channel : 0.1 to 0.3 ( mid term)
5th channel: 1 to 3 (long mid term)
6th channel : 10 to 30 (long term)
7th channel : 100 to 300 (very long term)
The positive slope conditions incrementally add weights from 0.0001 for the smallest positive slopes to 100 for the largest among the seven checks. And negative for the downward slopes.
The positive score (posScoreSlope) is the sum of all the weights from the upward slope conditions that are met.
The negative score (negScoreSlope) sums the negative weights when downward conditions are met.
Example :
Score + = 111
Score - = -0.1111
Trend is up for longterm & down for mid & short term
The slope score therefore emphasizes both the magnitude and the direction of the trend as indicated by the regression channels, with an intentional asymmetry that flags strong downtrends more aggressively.
Summary
For each category—BigPear, Pear, Trendpear, Écart, and Slope—the indicator evaluates a defined set of conditions. Each condition is a binary test (true/false) based on different thresholds or comparisons (for example, comparing the current value to a moving average or a channel boundary). When a condition is true, its assigned weight is added to the cumulative score for that category. These individual scores, both positive and negative, are then displayed in a table, making it easy for the trader to see at a glance where the market stands according to each analytical dimension.
This comprehensive, weighted approach allows the indicator to encapsulate several layers of market information into a single set of scores, aiding in the identification of potential trading opportunities or market reversals.
5. Practical Use and Application
How to Use the Indicator:
Interpreting the Signals:
On your chart, observe the following components:
The individual correlation curves and their average, plotted with visual thresholds;
Visual markers (such as emojis and shape markers) that signal potential oversold or overbought conditions
The summary table that aggregates the scores from each category, offering a quick glance at the market’s state.
Trading Alerts and Decisions: Set your TradingView alerts through the alertcondition functions provided by the indicator. This way, you receive immediate notifications when critical conditions are met, allowing you to react as soon as the market reaches key levels. This tool is especially beneficial for advanced traders who want to combine multiple technical dimensions to optimize entry and exit points with a confluence of signals.
Conclusion and Additional Insights
In summary, this advanced indicator innovatively combines multi-scale Pearson correlation analysis (via multiple linear regressions) with robust regression channel analysis. It offers a deep and nuanced view of market dynamics by delivering clear visual signals and a comprehensive numerical summary through a built-in score table.
Combine this indicator with other tools (e.g., oscillators, moving averages, volume indicators) to enhance overall strategy robustness.
Asian, London, New York SessionHey traders! If you trade SPX500 or NASDAQ100, timing is everything.
I created a Session Time Interval Indicator that marks the key market sessions – Asian, London, and New York – right on your chart.
It also places red vertical lines at 3 important times:
🕕 06:00 AM – Start of the Asian session
🕒 15:00 PM – Start of the London session
🕤 21:30 PM – New York Stock Exchange open
All based on UTC+8 Singapore time.
These times are when volatility hits. The red lines help you spot key breakouts, reversals, or momentum shifts — especially on US indexes like SPX500 and NASDAQ100."
This tool helps you trade smarter — not harder.
Get better entries, avoid fake moves, and stay in sync with the global market flow.
Check out the Session Time Indicator for SPX500 and NASDAQ100 today.
Dynamic Auto RangesBrief Overview:
The "Dynamic Auto Ranges" indicator automatically detects and displays dynamic price range levels around the current market price. This indicator was initially designed and optimized for price movements on Nasdaq, but may also be useful for other instruments with input adjustments. Its purpose is to help traders identify potential support/resistance zones or other key price levels in an adaptive manner. All range lines and their labels are displayed in red for clear visibility.
Key Features:
Automatic Main Range Detection: The indicator intelligently calculates a primary price range block (e.g., 21600-21800) based on the real-time price.
Adjustable Main Range Block Size: Users can select the size of this main range block via settings (e.g., 50, 100, 200, 500 points, etc.), allowing flexibility for various instruments and trading styles.
Automatic Subdivisions: Within the detected dynamic main range, the indicator automatically draws subdivision lines at intervals that are also user-configurable (e.g., every 25 points).
Full Horizontal Lines: All range lines are displayed as full horizontal lines extending to both the left and right sides of the chart (extend.both), providing a clear visualization of levels across history and into the future.
Informative Price Labels: Each subdivision line is accompanied by a clear price label, positioned below the line for easy readability. The label text size has also been adjusted to be larger and more visible (size.small).
Contrasting Red Visuals: Lines and price label text are displayed in red to ensure they stand out on your chart.
Line Style Configuration: Users can customize the line style (Solid, Dashed, Dotted) and the line width for general subdivisions, as well as for the main boundaries of the range block.
Real-time Updates: The range levels and their subdivisions will automatically shift and update as the market price moves into new main range blocks.
How to Use:
Add the "Dynamic Auto Ranges" indicator to your chart (optimized for Nasdaq, but can be tested on other instruments).
Open the indicator's settings (the gear icon next to the indicator name).
Adjust the "Main Range Block Size" to determine how large you want the primary range block to be around the current price.
Set the "Subdivision Step" to determine the interval for the lines within that main range.
Use the displayed lines as a reference for your price action analysis.
Customizable Settings:
Main Range Block Size: Choose the size of the main range block.
Subdivision Step: Set the interval for subdivision lines.
Style: Select the line style (Solid, Dashed, Dotted).
Width: Set the line width for subdivisions.
Main Boundary Width: Set a specific width for the main range block boundary lines.
Note:
This indicator is designed to provide visual guidance based on mathematical calculations of price movements. Like all trading tools, it should be used as part of a comprehensive trading strategy and not as the sole basis for making trading decisions.
Breakout Scanner with VWAP + RSI + MACD + Volume SpikePRICE & MOVING AVERAGES
🟠 MA(10), MA(50), MA(200)
Purpose: Track price trends over different time horizons
MA10 – Very short-term trend (micro pullbacks)
MA50 – Intermediate trend (support/resistance)
MA200 – Long-term sentiment (bullish or bearish overall)
Use: Crossovers indicate trend reversals. E.g., MA10 < MA50 = bearish.
📉 EMA(9), EMA(12), EMA(34)
EMA = Exponential Moving Average
Reacts faster than MA, used for quick entries/exits
Common Strategy: EMA 9 crossing below EMA 34 → short signal
You’re currently in a downtrend, as all EMAs slope down and price is below them.
🔵 VWAP (Volume Weighted Average Price)
Purpose: Institutional benchmark
Traders use VWAP as a mean reversion level.
If price is below VWAP → bearish control; above → bullish control.
In your chart: QQQ is below VWAP, suggesting institutional selling.
📊 BOLL(20) = Bollinger Bands
Tracks volatility using 20-period MA ± 2 std. dev.
Bands widen when volatility increases.
In your chart: Price is riding the lower band → bearish pressure
🔁 RSI(14) = Relative Strength Index
Measures momentum
Ranges from 0 to 100
Above 70 = Overbought
Below 30 = Oversold
Current RSI is around 30–40, suggesting weak momentum, near oversold
📉 MACD (12, 26, 9)
MACD Line (blue) = 12EMA - 26EMA
Signal Line (red) = 9 EMA of MACD line
Histogram = MACD – Signal
When MACD crosses below Signal line → bearish
Your chart: Histogram is red and increasing → bearish strength increasing
✅ SUMMARY FOR QQQ CHART (LIVE INTERPRETATION)
Indicator Reading Signal
MA/EMA All sloping down ❌ Bearish
VWAP Price below VWAP ❌ Bearish
Bollinger Price hugging lower band ❌ Bearish
RSI(14) ~30-40 ⚠️ Weak
MACD Red histogram growing ❌ Bearish
Would you like me to generate a script-based trade signal system combining EMA + RSI + MACD for QQQ intraday calls/puts?
Daily Levels & Time MarkersKey Features:
Price Level Tracking:
Previous Day High/Low (PDH/PDL) - Shows yesterday's highest and lowest prices as horizontal lines
Overnight High/Low (ONH/ONL) - Tracks the highest and lowest prices during overnight sessions (4:00 PM to 9:30 AM ET)
Opening Range High/Low (ORH/ORL) - Captures the price range during the first 30 minutes of regular trading (9:30-10:00 AM ET)
Visual Elements:
Draws horizontal lines for previous day levels that extend across the chart
Creates rays (extending lines) for overnight and opening range levels that project forward from when they were established
Uses different colors and line styles for each level type (solid lines for daily levels, dashed for opening range)
Adds text labels showing the exact price values (PDH, PDL, ONH, ONL, ORH, ORL)
Time Markers:
Draws vertical dashed lines at key trading times: 10:00 AM, 11:30 AM, 1:00 PM, 2:30 PM, and 4:00 PM ET
Uses Eastern Time zone by default but allows customization
Customization Options:
Toggle each feature on/off independently
Customize colors for all line types
Adjust timezone settings
Hilbert micro trends SubThe HILBERT MICRO TRENDS indicator uses advanced Digital Signal Processing techniques to uncover hidden characteristics in price series, providing a statistical edge across all types of assets. This indicator specializes in detecting short- and medium-term micro trends, which can appear isolated, embedded within larger trends, or even during broad-ranging price phases.
It operates with a single parameter, simplifying configuration and greatly reducing the risk of overfitting. HILBERT MICRO TRENDS applies modern low-pass and high-pass filtering techniques to smooth price data and remove noise efficiently across multiple levels. The mathematical formulas generate four recursively smoothed series, each more refined than the last in a subtle and precise way, avoiding abrupt changes. These smoothed series outperform traditional moving averages in every aspect: they have less lag (detecting trend shifts faster), generate fewer false signals, and stay closer to price action. This gives them an edge over standard indicators and algorithms based on conventional moving averages such as the simple, exponential, Kalman, or Hull MA.
Visual Structure
The indicator displays in two parts: one on the main chart and one on a sub-chart. On the main chart, the four smoothed series create a shaded area, with the upper and lower bounds representing the maximum and minimum of the series. If a series is rising (positive derivative), it signals bullish momentum; if falling, bearish. Since each series has a different smoothing level, they represent different time perspectives, and the indicator considers all four simultaneously. If all series are bullish, the area turns solid green. If three are bullish and one bearish, it's pale green. Two bullish, two bearish: gray. One bullish and three bearish: pale red. All bearish: solid red. A confirmed micro trend is present only when all four are aligned, i.e., when the area is pure green or red.
The sub-chart displays a histogram version of the same shaded area as an oscillator. An additional smoothed line tracks when the width of this shaded area expands or contracts.
How to Use and Interpret
As stated, the goal is to detect micro trends in price. The first rule is to open long positions only when the area is solid green, and shorts only when it’s solid red. Transitions from pale green to solid green can signal the start of a bullish micro trend, and similarly, from pale red to solid red for bearish trends. The width of the shaded area indicates the strength of the movement (best seen in the histogram). A wider area suggests stronger momentum, which is related to volatility only when a micro trend is active.
Use the orange line in the histogram to determine whether the micro trend is gaining or losing strength. A decreasing width suggests the trend might be ending, signaling an exit opportunity. However, since the orange line lags behind, it’s better used as confirmation rather than a trigger. For quicker signals, changes to pure red or green are more effective.
Price Relationship
Pay attention to the price's relative position to the shaded area. If the price stays within or fluctuates inside the area, it's usually a sign of a ranging market with no clear trend—avoid trading in such conditions. However, if the price breaks out and moves away from the area, it's a strong sign a micro trend has begun. When the price returns to the shaded area, the trend might be ending.
The indicator also marks pivot points from the last pure green or red zone. While not directly used to enter trades, these serve as useful price action reference points for combining with other strategies or tools.
Parameter Settings
The indicator includes a single but crucial parameter that controls smoothing intensity. A low value makes the indicator faster; a higher value slows it down. Success depends on choosing the right setting for the market environment. For long, clear trends, use higher values (80–100), as late entries are acceptable and premature exits are avoided. For shorter, mean-reverting trends, lower values (~40) are better to avoid lag. The default setting is 60, which suits most markets, but users are encouraged to adjust it to current conditions.
Always identify the current market phase and backtest how past micro trends have behaved on the instrument being traded. This ensures the indicator is tuned to the asset’s behavior and can deliver optimal results.
Enhanced Trading Setup ScannerThis is an auto trading script designed to follow my strategy. My strategy consist of a value system and this script will identify trends and market phases for good trades. Feel free to leave feedback.
The Main value on the scrip is always the target. You can change the colors and more modifications inside the tool area to your liking.
DB1800 Gann Angle Levels Table (CMP Based)Gann Angles for Resistance and Support
2 = 360 degree for 1 month
1 = 180 degree for 1 week
0.5 = 90 degree for 1 to 2 days
0.25 = 45 degree for next day
0.125 = 22.5 degree for more granular than next day (scalping)
The only thing that multiplies when you share it is knowledge.
Inspired by Sudhir Sharma Sir
www.youtube.com
Global M2 Money Supply (USD)Global M2 Money Supply from multiple markets, with days-offset option, defaulted to 107-day shift. Credit to miguelfinance and dylanleclair, on which this script is built on
EMA Crossover Automated Trading
This strategy combines Exponential Moving Averages (EMA) and the Relative Strength Index (RSI) to make dynamic trading decisions. It provides an automated solution for entering long or short positions and closing trades based on EMA crossovers.
200MA + MACD + 成交量放量警報🚀 200MA + MACD 金叉 + 成交量放量警報指標 🔥
簡介：
全幣種通用合約日內神器！
結合 200MA 均線趨勢判斷、MACD 金叉死叉動能確認，再搭配 成交量放量過濾假突破，有效提升入場勝率！
支援警報通知，自動提醒多空訊號。
👉 喜歡記得按 ❤️ 收藏，開圖表通知 🔔
🚀 200MA + MACD Golden Cross + Trading Volume Alert Indicator 🔥
Introduction:
A universal tool for all currencies for intraday contracts!
Combined with 200MA moving average trend judgment, MACD Golden Cross and Dead Cross kinetic energy confirmation, and combined with trading volume to filter false breakthroughs, it effectively improves the entry success rate!
Supports alarm notifications and automatically reminds long and short signals.
👉 If you like it, remember to press ❤️ to collect it and open the chart notification 🔔
Market Sleep ZonesHey traders 👋
This script shows when the market is in a "sleeping" or low volatility phase. I call it Market Sleep Zones 😴
It looks at the average price movement over a window (default 20 bars), and if the price changes are small (under a % threshold you set), it highlights that area on the chart with a soft green background.
💡 This can help spot moments when the market is quiet — maybe before a breakout or just moving sideways.
It also places labels to mark where these zones start and end, so it's easy to track.
You can change:
The window size (how many bars to look back)
The breath depth (how much price is allowed to move before it’s "not sleeping" anymore)
Not perfect, but helpful if you want to avoid getting chopped in low-volatility zones or want to prepare for when the market "wakes up" 😄
Let me know if you find it useful or have ideas to improve it!
Equal Highs/Lows + SMT Divergences + Range FilterKey Functional Areas
🔹 Equal Highs and Lows Detection
Strict Swing High/Low: Looks for equal swing points and ensures untouched in-between levels.
Regular Equal High/Low: Uses a range filter (default 9.75 points across 5 bars) to validate.
Volume and Time Filtering: You allow user toggles to include only periods with sufficient volume or time of day.
🔹 Swing Point Helpers
Functions isSwingHigh() and isSwingLow() are used for strict equal high/low detection.
🔹 Range Filter
Checks whether the high-low range over the last 5 candles meets a user-defined minimum (ensures significance).
🔹 Moving Averages
Includes optional plotting of 20 and 200 SMA.
🔹 SMT Divergences
Compares pivots between main symbol and two others (default: ES1! and YM1!).
Detects divergence based on opposite directional movement at pivot points.
Customizable color, thickness, and labels.
Simple Monthly SeasonalityThis script helps traders quickly visualize how an asset performs month by month over a customizable historical period.
🔍 What it does:
• Calculates average monthly returns over the past N years (default: 15).
• Highlights the current month for quick context.
• Displays results in a clean 2-column table (Month | Avg % Return).
💡 Features:
• Works on any timeframe – internally pulls monthly data.
• Color-coded performance (green for positive, red for negative).
• Dynamic highlights – the current month is softly emphasized.
• Fully customizable lookback period (1–50 years).
📈 Use cases:
• Spot seasonal market trends.
• Time entries/exits based on recurring historical strength/weakness.
• Build the foundation for more advanced seasonality or macro scripts.
Just load it on any chart and see which months historically outshine the rest.
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XAU/USD Custom Levels
XAU/USD Dynamic Support & Resistance Levels
This indicator automatically draws horizontal support and resistance levels for Gold (XAU/USD) based on the current market price, eliminating the need for manual price range adjustments.
**Key Features:**
- **Dynamic Price Range**: Automatically calculates levels above and below the current price using a customizable percentage range (default 5%)
- **Multi-Tier Level System**: Four distinct level types with different visual styling:
- Major Levels (100s) - Blue, thick lines
- Sub Levels (50s) - Red, medium lines
- Sub-Sub Levels (25s) - Yellow, thin lines
- Mini Levels (12.5s) - Gray, dotted lines
- **Fully Customizable**: Adjust range percentage, step size, colors, and line history through input settings
- **Universal Compatibility**: Works at any gold price level - whether $1800, $2500, $3300 or beyond
**How It Works:**
The script centers the level grid around the current closing price and extends lines from a specified number of bars back to the right edge of the chart. The hierarchical level system helps identify key psychological price points and potential support/resistance zones commonly used in gold trading.
**Settings:**
- Price Range %: Control how far above/below current price to draw levels (1-20%)
- Level Step Size: Adjust spacing between levels (1.0-50.0)
- Bars Back: Set how far back in history to start the lines
- Color Customization: Personalize colors for each level type
Perfect for gold traders who need clean, automatically-updating support and resistance levels without manual configuration.
Swing High Low By RSThis indicator helps you visually identify important support and resistance levels based on recent swing highs and lows in the market — automatically and with clarity.
Many traders struggle with figuring out where to buy or sell, or where price might reverse. This tool solves that by marking those critical turning points for you.
🧠 What It Does:
It looks at recent price action to find swing highs (where price temporarily peaked) and swing lows (where price temporarily bottomed).
When a new swing point is found, the indicator draws a horizontal line on your chart.
These lines act as support (green) or resistance (red) levels — key zones where price has reacted before.
✨ Unique Feature – Limited Line Length:
Unlike other indicators that draw lines all the way to the right edge of the screen, this one keeps things clean and focused by extending lines only for a limited number of candles (default: 50).
This means:
Less clutter on your chart.
You focus only on the most relevant and recent levels.
📊 How to Use It:
Support Levels (Green Lines)
These form after a swing low is detected. They often act as buy zones or bounce areas when price comes down.
Resistance Levels (Red Lines)
These form after a swing high is detected. They often act as sell zones or rejection areas when price goes up.
Trading Strategy
Use the lines as reference to plan entries, exits, and stop-losses.
Combine with price action, candlestick patterns, or other indicators (like RSI, moving averages) for confirmation.
Works great on any timeframe and across all markets — Forex, Crypto, Stocks, Commodities, etc.
📌 Customizable Settings:
Adjust how many candles are checked before identifying a swing.
Control how far each line stretches (how many bars it should stay visible).
👥 Best For:
Beginner to advanced traders
Price action traders
Scalpers, intraday traders, and swing traders
Anyone who wants to trade clean charts without drawing levels manually
This is your go-to tool for identifying powerful support and resistance levels based on actual market structure — not just math or indicators. It saves time, reduces noise, and increases confidence in your trade decisions.
Enjoy...
Day Separator with Day LabelsAdjustable day separator that paints vertical lines through the start of day. Default set to GMT however totally customisable.
Has the day of week ladled also which is also optional in position.
there is a check box for a light chart background chart but default is dark background.
Vertical lines are customisable regarding thickness and colour.
Pretty new to it all so welcome feedback and amendment ideas.
NSE/BSE Derivative - Next Expiry Date With HolidaysNSE & BSE Expiry Tracker with Holiday Adjustments
This Pine Script is a TradingView indicator that helps traders monitor upcoming expiry dates for major Indian derivative contracts. It dynamically adjusts these expiry dates based on weekends and holidays, and highlights any expiry that falls on the current day.
⸻
Key Features
1. Tracks Expiry Dates for Major Contracts
The script calculates and displays the next expiry dates for the following instruments:
• NIFTY (weekly expiry every Thursday)
• BANKNIFTY, FINNIFTY, MIDCPNIFTY, NIFTYNXT50 (monthly expiry on the last Thursday of the month)
• SENSEX (weekly expiry every Tuesday)
• BANKEX and SENSEX 50 (monthly expiry on the last Tuesday of the month)
• Stocks in the F&O segment (monthly expiry on the last Thursday)
2. Holiday Awareness
Users can input a list of holiday dates in the format YYYY-MM-DD,YYYY-MM-DD,.... If any calculated expiry falls on one of these holidays or a weekend, the script automatically adjusts the expiry to the previous working day (Monday to Friday).
3. Customization Options
The user can:
• Choose the position of the expiry table on the chart (e.g. top right, bottom left).
• Select the font size for the expiry table.
• Enable or disable the table entirely (if implemented as an input toggle).
4. Visual Expiry Highlighting
If today is an expiry day for any instrument, the script highlights that instrument in the display. This makes it easy to spot significant expiry days, which are often associated with increased volatility and trading volume.
⸻
How It Works
• The script calculates the next expiry for each index using built-in date/time functions.
• For weekly expiries, it finds the next occurrence of the designated weekday.
• For monthly expiries, it finds the last Thursday or Tuesday of the month.
• Each expiry date is passed through a check to adjust for holidays or weekends.
• If today matches the adjusted expiry date, that row is visually emphasized.
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Use Case
This script is ideal for traders who want a quick glance at which instruments are expiring soon — especially those managing options, futures, or expiry-based strategies.
Average RSI (Daily + Weekly)📈 Average RSI (Relative Strength Index) – Beginner’s Guide
What it is:
The Average RSI is a technical indicator that combines multiple RSI values—such as daily and weekly RSI—into a single, smoothed line. This helps traders get a clearer picture of a stock’s momentum over both short- and medium-term timeframes.
Why it matters:
The RSI tells you whether a stock is potentially overbought (priced too high and due for a pullback) or oversold (priced too low and due for a bounce). Traditional RSI uses a scale from 0 to 100, with key levels at 70 (overbought) and 30 (oversold).
By averaging RSI across different timeframes, you reduce noise and get a better signal for trends and reversals.
How traders use it:
✅ Buy zone: When the average RSI dips below 40, it could signal a good entry point.
⚠️ Neutral zone: Between 40 and 60 means the trend isn’t strong—wait for more confirmation.
🚫 Sell zone: Above 60–70 may indicate the asset is overbought or due for a pullback.
Helpful for:
Spotting better entry/exit points
Filtering out false signals
Staying in trend-following trades longer
Bradley Siderograph Correlation: [Blueprint_So9]█ Bradley Siderograph Correlation Indicator
This tool is designed for use within TradingView’s Pine Beta Screener. It enables users to scan their watchlist and identify which assets have shown the highest positive or inverse correlation to a selected window of the Bradley Siderograph.
How to Use:
Go to your TradingView profile and click the Products tab.
Scroll down to Screeners, then click on the Pine option marked as Beta.
Select your preferred watchlist or a custom list you’ve created.
Click “Choose your favorite indicator” and select Bradley Siderograph Correlation Indicator (make sure to favorite it first so it appears in the list).
Once loaded, set:
The timeframe for analysis (e.g., 1D)
The window (number of bars to look back from the current bar)
Use my open-source Bradley Siderograph overlay to identify a recent pivot or turn, then match that window to scan for alignment across your watchlist.
Output:
The screener returns a sortable table displaying each asset in your selected watchlist, with a correlation coefficient ranging from -1 to +1:
+1 = Strong positive correlation
-1 = Strong inverse correlation
0 = No significant correlation
You can sort the column to quickly identify which assets are most aligned—or most divergent—from the Planetary barometer's behavior within your chosen window.
Timeframe Awareness:
Crypto = 24/7 (calendar-based)
Stocks/Forex = Weekday trading sessions (exclude weekends)
This tool enables watchlist-level filtering to identify correlation and inverse correlation between price movement and the Bradley Siderograph over a defined window.
Credits & Acknowledgments:
This is my implementation of Donald Bradley’s Siderograph, as described in Stock Market Prediction: The Planetary Barometer and How to Use It.
Built using planetary data from Astrolib by @BarefootJoey
Melody Markets Moving Average Transitions🎵 Melody Markets Moving Average Transitions – The Ultimate Trend State Indicator 🎵
📌 Indicator Description
Melody Markets Moving Average Transitions is a powerful indicator designed to accurately represent the market trend state by combining the 5 main moving averages (MA7, MA20, MA50, MA100, MA200) and their 120 possible configurations.
Unlike traditional indicators that display moving averages separately, this tool synthesizes these multiple combinations into a dynamic trend line, which can be displayed directly on the selected moving average or via a specially calculated dynamic moving average.
It provides a clear and precise view of trend strength and momentum, helping traders better anticipate price movements.
🔍 Key Features
✅ Comprehensive Trend State → Analyzes up to 120 configurations between 5 moving averages for a detailed trend state.
✅ Dynamic Trend Line → Simple and intuitive visualization of the trend via a single line, shown directly on the chosen MA or the dynamic MA.
✅ Signal Visualization → Displays signals generated by each moving average, facilitating decision-making.
✅ Relevant Pullbacks Display → Highlights meaningful pullbacks according to trend strength and context.
✅ Fully Customizable → Choose moving averages, toggle signals and pullbacks, and customize colors.
✅ Overlay on Price Chart → Smooth and clear integration directly on the price chart.
📖 How to Use Melody Markets Moving Average Transitions?
1️⃣ Select the moving average (MA7, MA20, MA50, MA100, MA200) to track the trend state.
2️⃣ Activate the dynamic trend line to visualize overall market direction in real-time.
3️⃣ Enable signal and pullback displays to catch key trade setups and corrections.
4️⃣ Customize colors and display options to suit your trading style.
5️⃣ Combine with other technical tools for enhanced entry and exit confirmations.
🎯 Who Is This Indicator For?
🔹 Trend Traders & Swing Traders → Get a clear, precise overview of trend strength and pullbacks.
🔹 Day Traders & Scalpers → Quickly identify relevant signals without clutter.
🔹 Beginner to Advanced Traders → Intuitive and comprehensive trend analysis for all levels.
🔥 Conclusion
Melody Markets Moving Average Transitions revolutionizes trend analysis by combining complex moving average configurations into a single, clear dynamic line and signal system. It empowers traders with a deeper understanding of market conditions, improving decision-making and timing.
📌 Add it to your chart now and experience trend analysis like never before! 🚀
