Ultimate Regression Channel v5.0 [WhiteStone_Ibrahim]Ultimate Regression Channel v5.0: Comprehensive User Guide
This indicator is designed to visualize the current trend, potential support/resistance levels, and market volatility through a statistical analysis of price action. At its core, it plots a regression line (a trend line) based on prices over a specific period and adds channels based on standard deviation around this line.
1. Core Features and Settings
Length Mode:
Numerical (Manual): You define the number of bars to be used for the regression channel calculation. You can use lower values (e.g., 50-100) for short-term analysis and higher values (e.g., 200-300) to identify long-term trends.
Automatic (Based on Market Structure): This mode automatically draws the channel starting from the highest high or lowest low that has formed within the Auto Scan Period. This allows the indicator to adapt itself to significant market turning points (swing points), which is highly useful.
Regression Model:
Linear: Calculates the trend as a straight line. It generally works well in stable, short-to-medium-term trends.
Logarithmic: Calculates the trend as a curved line. It more accurately reflects price action, especially on long-term charts or for assets that experience exponential growth/decline (like cryptocurrencies or growth stocks).
Channel Widths:
These settings determine how far from the central trend line (in terms of standard deviations) the channels will be drawn.
The 0 (Inner), 1 (Middle), and 2 (Outer) channels represent the "normal" range of price movement and the "extreme" zones. Statistically, about 95% of all price action occurs within the outer channels (2nd standard deviation).
2. Visual Extras and Their Interpretation
Breakout Style:
This feature alerts you when the price closes above the uppermost channel (Channel 2) with a green arrow/background or below the lowermost channel with a red arrow/background.
This is a very important signal. A breakout can signify that the current trend is strengthening and likely to continue (a breakout/trend-following strategy) or that the market has become overextended and may be due for a reversal (an exhaustion/top-bottom signal). It is critical to confirm this signal with other indicators (e.g., RSI, Volume).
Info Label:
This provides an at-a-glance summary of the channel on the right side of the chart:
Trend Status: Identifies the trend as "Uptrend," "Downtrend," or "Sideways" based on the slope of the centerline. The Horizontal Threshold setting allows you to filter out noise by treating very small slopes as "Sideways."
Regression Model and Length: Shows your current settings.
Trend Slope: A numerical value representing how steep or weak the trend is.
Channel Width: Shows the price difference between the outermost channels. This is a measure of current volatility. A widening channel indicates increasing volatility, while a narrowing one indicates decreasing volatility.
3. What Users Should Pay Attention To & Best Practices
Define Your Strategy: Mean Reversion or Breakout?
Mean Reversion: If the market is in a ranging or gently trending phase, the price will tend to revert to the centerline after hitting the outer channels (overbought/oversold zones). In this case, the outer channels can be considered opportunities to sell (upper channel) or buy (lower channel).
Breakout: If a strong trend is in place, a price close beyond an outer channel can be a sign that the trend is accelerating. In this scenario, one might consider taking a position in the direction of the breakout. Correctly analyzing the current market state (ranging vs. trending) is key to deciding which strategy to employ.
Don't Use It in Isolation: No indicator is a holy grail. Use the Regression Channel in conjunction with other tools. Confirm signals with RSI divergences for overbought/oversold conditions, Moving Averages for the overall trend direction, or Volume indicators to confirm the strength of a breakout.
Choose the Right Model: On shorter-term charts (e.g., 1-hour, 4-hour), the Linear model is often sufficient. However, on long-term charts like the daily, weekly, or monthly, the Logarithmic model will provide much more accurate results, especially for assets with parabolic movements.
The Power of Automatic Mode: The Automatic length mode is often the most practical choice because it finds the most logical starting point for you. It saves you the trouble of adjusting settings, especially when analyzing different assets or timeframes.
Use the Alerts: If you don't want to miss the moment the price touches a key channel line, set up an alert from the Alert Settings section for your desired line (e.g., only the "Outer Channels"). This helps you catch opportunities even when you are not in front of the screen.
在脚本中搜索"breakout"
Mark4ex vWapMark4ex VWAP is a precision session-anchored Volume Weighted Average Price (VWAP) indicator crafted for intraday traders who want clean, reliable VWAP levels that reset daily to match a specific market session.
Unlike the built-in continuous VWAP, this version anchors each day to your chosen session start and end time, most commonly aligned with the New York Stock Exchange Open (9:30 AM EST) through the market close (4:00 PM EST). This ensures your VWAP reflects only intraday price action within your active trading window — filtering out irrelevant overnight moves and providing clearer mean-reversion signals.
Key Features:
Fully configurable session start & end times — adapt it for NY session or any other market.
Anchored VWAP resets daily for true session-based levels.
Built for the New York Open Range Breakout strategy: see how price interacts with VWAP during the volatile first 30–60 minutes of the US market.
Plots a clean, dynamic line that updates tick-by-tick during the session and disappears outside trading hours.
Designed to help you spot real-time support/resistance, intraday fair value zones, and liquidity magnets used by institutional traders.
How to Use — NY Open Range Breakout:
During the first hour of the New York session, institutional traders often define an “Opening Range” — the high and low formed shortly after the bell. The VWAP in this zone acts as a dynamic pivot point:
When price is above the session VWAP, bulls are in control — the level acts as a support floor for pullbacks.
When price is below the session VWAP, bears dominate — the level acts as resistance against bounces.
Breakouts from the opening range often test the VWAP for confirmation or rejection.
Traders use this to time entries for breakouts, retests, or mean-reversion scalps with greater confidence.
⚙️ Recommended Settings:
Default: 9:30 AM to 4:00 PM New York time — standard US equities session.
Adjust hours/minutes to match your target market’s open and close.
👤 Who is it for?
Scalpers, day traders, prop traders, and anyone trading the NY Open, indices like the S&P 500, or highly liquid stocks during US cash hours.
🚀 Why use Mark4ex VWAP?
Because a properly anchored VWAP is a trader’s real-time institutional fair value, giving you better context than static moving averages. It adapts live to volume shifts and helps you follow smart money footprints.
This indicator will reconfigure every day, anchored to the New York Open, it will also leave historical NY Open VWAP for study purpose.
Candle/Keltner Channels BUY SELLWhy Use Candlesticks?
They help traders visualize price action
Used in technical analysis and price pattern recognition (e.g., Doji, Engulfing, Hammer)
Assist in determining entry and exit points
Why Traders Use Keltner Channels?
Keltner Channels are widely used by traders for identifying trends, detecting volatility, and spotting trade opportunities.
1. Trend Identification
The middle line (EMA) shows the general trend.
If price consistently stays above the middle line, it indicates a strong uptrend.
If price stays below, it signals a downtrend.
Use: Traders follow the trend direction to enter trades in line with momentum.
2. Volatility Measurement
The width of the channel expands and contracts based on Average True Range (ATR).
Wider channels = high volatility, tighter channels = low volatility.
Use: Helps traders decide when to expect breakouts or calm periods.
3. Breakout Signals
A break above the upper band can signal a bullish breakout.
A break below the lower band can signal a bearish breakout.
Use: Traders use this for momentum trading and breakout entries.
4. Overbought/Oversold Conditions
Price touching or crossing the upper band may suggest it's overbought.
Price touching or crossing the lower band may suggest it's oversold.
Use: Traders combine this with RSI or MACD to confirm reversal setups.
5. Trade Entry and Exit
When price pulls back to the middle EMA during a trend, it may present a buy/sell opportunity.
Exits can also be planned if price returns inside the bands after a breakout.
Use: Helps with precise entry and exit timing.
6. Combines Well With Other Indicators
Commonly used with:
RSI (for confirmation)
MACD (for momentum)
Candlestick patterns (for price action signals)
Combining Candlestick Patterns with Keltner Channels gives traders a powerful method to confirm entries, spot reversals, and improve accuracy. Here’s why this combination works so well:
1. Context for Candlestick Signals
Candlestick patterns (like doji, engulfing, or pin bars) show potential price reversals, but they need context to be reliable. Keltner Channels provide that context:
A bullish candlestick near the lower band suggests a stronger buy signal.
A bearish candlestick near the upper band strengthens a sell signal.
2. Filtering False Signals
Candlestick patterns occur frequently, and not all are meaningful.
The location within the Keltner Channel helps filter out weak or false patterns.
Example: A bullish engulfing candle outside the lower band = high-probability reversal.
3. Improved Entry Timing
Traders wait for a candlestick pattern confirmation when price touches or crosses a Keltner band.
This avoids premature entries and allows tighter stop-losses.
4. Better Risk-Reward Setup
Candlestick entry near channel extremes (upper/lower band) lets traders place stop-losses just beyond recent highs/lows.
The target can be the opposite side of the channel or the middle EMA.
5. Visual Simplicity
Keltner Channels + Candles are visually intuitive.
Even beginner traders can easily recognize:
Overextended candles near channel edges.
Confirmed breakouts or reversals.
This Timeframe 5 min : XAUUSD
ZScoreAnalysisLibrary "ZScoreAnalysis"
Z-score analysis for detecting statistical deviations and excess market behavior
calculate_zscore(source, lookback, threshold, switch_enabled)
Calculate Z-score and related metrics with history tracking
Parameters:
source (float) : Data source for Z-score calculation
lookback (int) : Lookback period for mean and standard deviation
threshold (float) : Z-score threshold for significance
switch_enabled (string) : Enable/disable switch ("Enabled"/"Disabled")
Returns: Z-score, historical significant values, and running average
get_zscore_threshold(opt, input_thr, avg)
Get threshold based on threshold option
Parameters:
opt (string) : Threshold option ("User Input Threshold", "Average as Threshold", or other)
input_thr (float) : User input threshold
avg (float) : Average threshold
Returns: Calculated threshold value
is_zscore_filtered(switch_enabled, zscore, threshold)
Check if a metric passes the Z-score filter
Parameters:
switch_enabled (string) : Enable/disable switch
zscore (float) : Current Z-score value
threshold (float) : Z-score threshold
Returns: True if filtered (exceeds threshold)
get_consecutive_distances(body_dir, breakout_dir, is_inside_bar)
Calculate consecutive distances for Z-score analysis
Parameters:
body_dir (int) : Body direction
breakout_dir (int) : Breakout direction
is_inside_bar (bool) : Inside bar flag
Returns:
get_trend_to_mean_distance()
Calculate distance from trend to mean for momentum analysis
Returns: Distance between trend and mean
get_all_zscores(lookback, threshold, bar_dist_switch, body_dist_switch, chl_dist_switch, cc_dist_switch, m_dist_switch, body_dir, breakout_dir, is_inside_bar)
Get all Z-score calculations for the indicator
Parameters:
lookback (int) : Z-score lookback period
threshold (float) : Z-score threshold
bar_dist_switch (string) : Enable bar distance Z-score
body_dist_switch (string) : Enable body distance Z-score
chl_dist_switch (string) : Enable consecutive highs/lows Z-score
cc_dist_switch (string) : Enable consecutive closes Z-score
m_dist_switch (string) : Enable momentum distance Z-score
body_dir (int) : Body direction
breakout_dir (int) : Breakout direction
is_inside_bar (bool) : Inside bar flag
Returns: Array of Z-score results and filters
get_combined_zscore_filters(z_filters)
Get combined Z-score filters
Parameters:
z_filters (map) : Map of individual Z-score filters
Returns: Various combinations of Z-score filters
get_basic_distances()
Calculate basic distances used in Z-score analysis
Returns: Bar range and body range
get_individual_zscore_filter(z_filters, filter_name)
Get individual Z-score filter by name
Parameters:
z_filters (map) : Map of Z-score filters
filter_name (string) : Name of the filter ("bar_dist", "body_dist", etc.)
Returns: Boolean filter result
has_any_zscore_signal(z_filters)
Check if any Z-score filter is active
Parameters:
z_filters (map) : Map of individual Z-score filters
Returns: True if any Z-score exceeds threshold
Tight Range Display with Background🌟 Tight Range Transparency Display with Background
What Is This Indicator?
Hey traders! Ever wanted a simple way to spot those quiet, low-volatility moments in the market that often signal a big move is coming? The Tight Range Transparency Display with Background does exactly that! This indicator highlights periods where the price is moving in a tight range—think of it as the calm before the storm. It paints the chart background blue to show these zones, with the shade getting darker the tighter the range becomes. It’s like having a visual cue to say, “Hey, something might be brewing here!”
Why You’ll Love It
Spot Key Moments Easily: The blue background makes it super easy to see when the market is in a tight range, which often happens before breakouts or big trends.
Customizable Settings: You can tweak the range thresholds to match your trading style—whether you’re looking for super tight zones or slightly broader ones.
Visual Clarity: The background gets darker when the range is tighter, giving you a quick sense of how compressed the price action is.
Perfect for Any Market: Works on stocks, forex, crypto, or any chart you trade, across any timeframe.
How to Use It
Add It to Your Chart:
Just copy this script into TradingView’s Pine Editor and hit "Add to Chart." It’ll overlay right on your price chart.
Tweak the Settings:
Open the indicator settings and use the dropdown menus to pick your preferred "Tight Range %" and "Wide Range %." For example, set a Tight Range % of 2.0% to catch smaller ranges, or go higher like 10.0% for broader ones.
You can also adjust the ATR Period (default is 5) to make the indicator more or less sensitive to recent price swings.
Watch for the Blue Background:
When the price enters a tight range, the chart background turns blue. The darker the blue, the tighter the range—meaning a potential breakout could be closer!
Trade Smarter:
Use these tight range zones to prepare for potential breakouts. For example, if you see a dark blue background, it might be a good time to watch for a big price move.
Pair this with other tools like support/resistance levels or volume spikes to confirm your trades.
Who Is This For?
Swing Traders: Perfect for spotting consolidation zones before a big swing.
Breakout Traders: Tight ranges often lead to breakouts—use this to time your entries.
Smart Money Followers: If you’re into smart money concepts, tight ranges can signal accumulation or distribution phases.
Beginners & Pros Alike: It’s easy to use for new traders but powerful enough for seasoned pros.
Real-World Example
Imagine you’re trading a stock on a 1-hour chart. You notice the background turns blue, and it’s getting darker over a few bars. This tells you the price range is tightening—maybe the stock is consolidating after a big move. You check your other indicators, see a volume spike, and spot a breakout above resistance. Boom! You catch the next big trend, all because this indicator helped you focus on the right moment.
Tips for Best Results
Try Different Timeframes: Tight ranges on a 15-minute chart might signal short-term moves, while a daily chart could highlight bigger trends.
Adjust for Your Market: For volatile markets like crypto, you might want a higher Tight Range % (e.g., 10.0%). For calmer markets like forex, try a lower setting (e.g., 2.0%).
Combine with Other Tools: Use this alongside trendlines, moving averages, or volume indicators to confirm your setups.
Why I Made This
I created this indicator because I wanted a simple, visual way to spot those critical low-volatility zones without cluttering my chart. The dynamic background color makes it intuitive to see when the market is “coiling up” for a potential move. I hope it helps you find better trading opportunities just like it does for me!
Let’s Connect
If you find this indicator helpful, I’d love to hear about it! Drop a comment or a rating to let me know how it’s working for you. Got ideas to make it even better? Feel free to message me on TradingView—I’m always open to suggestions.
Published On
Date: May 22, 2025
Happy trading, and may your charts always be in your favor! 🚀
How to Publish on TradingView
Open Pine Editor:
On TradingView, open a chart and go to the Pine Editor tab at the bottom.
Paste the Code:
Copy the script you provided and paste it into the Pine Editor.
Compile:
Click "Add to Chart" to ensure it compiles without errors.
Publish:
Click the "Publish Script" button (paper plane icon) in the Pine Editor.
Select "Publish New Script."
Add the Description:
Title: "Tight Range Transparency Display with Background"
Description: Copy the content above into the description field.
Visibility: Choose "Public" to share with everyone (or "Invite-Only" for restricted access).
Tags: Add tags like "tight range", "breakout", "smart money", "volatility", "swing trading".
Screenshot: Add a screenshot of the indicator on a chart, showing the blue background during a tight range.
Submit:
Click "Publish" to submit. TradingView will review it and make it live if it meets their guidelines.
Additional Notes
Screenshot Tip: Use a chart where the blue background is clearly visible (e.g., during a consolidation period) to make the indicator’s effect stand out.
Engage with Users: After publishing, respond to comments and feedback to build a positive reputation on TradingView.
This content is designed to be approachable and engaging, helping traders understand the value of your indicator and encouraging them to try it out.
Support and Resistance Power Channel [ChartPrime]The Support and Resistance Power Channel indicator helps traders visualize key support and resistance zones, along with buy and sell power within those zones. By identifying the highest and lowest prices within a defined range, this indicator provides insight into potential price reversals and market strength. It calculates the strength of buy and sell pressure within the zones and includes additional features like midline values and delayed signals to reduce false breakouts.
⯁ KEY FEATURES AND HOW TO USE
⯌ Support and Resistance Zones :
This indicator identifies dynamic support (lower zone) and resistance (upper zone) levels, allowing traders to easily visualize key price levels. These zones are customizable with settings for the length of the channel and how far the zones extend into the future. The zones can be used to predict areas of potential price reversal or consolidation.
⯌ Buy and Sell Power :
Within the upper resistance zone, the indicator calculates Sell Power based on the number of bearish candles, while the lower support zone calculates Buy Power based on bullish candles. This feature helps traders understand the strength of buying or selling activity within each zone.
Example of buy and sell power tracking:
⯌ Highest, Lowest, and Mid Price Levels :
The indicator marks the highest and lowest price levels within the channel with an "X," and displays these values at the end of the channel. Additionally, the midline (average of the high and low) is plotted with a dotted line, showing a key area that the price often retests during trends.
⯌ Delayed Signal Markers :
To prevent false breakouts, the indicator includes a 2-bar delay for signals. These signals are plotted when the price crosses above or below the resistance or support zones, confirming potential reversals or breakouts. Arrows or diamonds are used to mark these signals on the chart.
Example of delayed breakout signals on the chart:
⯌ Extend Zones into the Future :
In the settings, traders can extend the support and resistance zones further into the future, allowing for ongoing analysis even after the initial levels have been identified. This feature can help with forward-looking trade planning.
⯁ USER INPUTS
Length : Defines the number of bars used to calculate the support and resistance zones.
Extend : Sets how far the support and resistance zones should be extended into the future.
Top and Bottom Colors : Allows customization of the colors for the support and resistance zones.
⯁ CONCLUSION
The Support and Resistance Power Channel indicator provides a powerful and visually intuitive way to track key market levels, buy and sell pressure, and potential reversals. With its real-time zone plotting and the calculation of power within each zone, it offers traders essential insights for making more informed trading decisions.
Guppy Multiple Moving Average (GMMA)The GMMA Momentum Indicator plots 12 EMAs on your chart, divided into two groups:
Short-term EMAs (6 lines, default periods: 3, 5, 8, 10, 12, 15): Represent short-term trader sentiment and momentum.
Long-term EMAs (6 lines, default periods: 30, 35, 40, 45, 50, 60): Reflect long-term investor behavior and broader market trends.
By analyzing the interaction between these two groups, the indicator identifies:
Bullish and bearish trends based on the relative positions of the short- and long-term EMAs.
Momentum strength through the spread or convergence of the EMAs.
Potential reversals or breakouts via compression signals.
This PineScript version enhances the traditional GMMA by adding visual cues like background colors, bearish signals, and compression detection, making it ideal for swing traders seeking clear, actionable insights.
The GMMA Momentum Indicator provides several key features:
1. Trend Identification
Bullish Trend: When the short-term EMAs (green lines) are above the long-term EMAs (blue lines) and spreading apart, it signals strong upward momentum. The chart background turns light green to highlight this condition.
Bearish Trend: When the short-term EMAs cross below the long-term EMAs and converge, it indicates downward momentum. The background turns light red, and an orange downward triangle appears above the bar to mark a new bearish signal.
2. Momentum Analysis
The spread between the short-term EMAs reflects the strength of short-term momentum. A wide spread suggests strong momentum, while a tight grouping indicates weakening momentum or consolidation. Similarly, the long-term EMAs act as dynamic support or resistance, guiding traders on the broader trend.
3. Compression Detection
Compression occurs when both the short-term and long-term EMAs converge, signaling low volatility and a potential breakout or reversal. A yellow upward triangle appears below the bar when compression is detected, alerting traders to watch for price action.
4. Visual Cues
Green short-term EMAs: Show short-term trader activity.
Blue long-term EMAs: Represent long-term investor sentiment.
Background colors: Light green for bullish trends, light red for bearish trends, and transparent for neutral conditions.
Orange downward triangles: Mark new bearish trends.
Yellow upward triangles: Indicate compression, hinting at potential breakouts.
How to Use the GMMA Momentum Indicator for Swing Trading
Swing trading involves capturing price moves over days to weeks, and the GMMA Momentum Indicator is an excellent tool for this strategy. Here’s how to use it effectively:
1. Identifying Trade Entries
Buy Opportunities:
Look for a bullish trend (green background) where the short-term EMAs are above the long-term EMAs and spreading apart, indicating strong momentum.
A compression signal (yellow triangle) followed by a breakout above resistance or a bullish candlestick pattern can confirm an entry.
Example: On a daily chart, if the short-term EMAs cross above the long-term EMAs and the background turns green, consider entering a long position, especially if volume supports the move.
Sell Opportunities:
Watch for a bearish signal (orange downward triangle) or a bearish trend (red background) where the short-term EMAs cross below the long-term EMAs.
Example: If the short-term EMAs collapse below the long-term EMAs and an orange triangle appears, it may signal a shorting opportunity or a time to exit longs.
2. Managing Trades
Use the long-term EMAs as dynamic support (in uptrends) or resistance (in downtrends) to set stop-loss levels or trail stops.
Monitor the spread of the short-term EMAs. A widening spread suggests the trend is strong, while convergence may indicate it’s time to take profits or tighten stops.
3. Anticipating Reversals
Compression signals (yellow triangles) highlight periods of low volatility, often preceding significant price moves. Combine these with price action (e.g., breakouts or reversals) or other indicators (e.g., RSI or volume) for confirmation.
Example: If a compression signal appears near a key support level and the price breaks upward, it could signal the start of a new bullish swing.
4. Best Practices
Timeframes: The indicator works well on daily or 4-hour charts for swing trading, but you can adjust the EMA periods for shorter (e.g., 1-hour) or longer (e.g., weekly) timeframes.
Confirmation: Combine the GMMA with other tools like support/resistance levels, candlestick patterns, or oscillators (e.g., MACD) to reduce false signals.
Risk Management: Always use proper position sizing and stop-losses, as EMAs are lagging indicators and may produce delayed signals in choppy markets.
FVG + Swings + ConfigurableOverview
This Pine Script v5 indicator highlights Fair Value Gaps (FVGs), plots swing‑high and swing‑low pivots, and marks single breakouts above the last swing‑high or below the last swing‑low by recoloring the breakout candle. Every aspect—gap size, count limits, colors, and feature toggles—is exposed as an input so you can tailor it to your own workflow.
Key Features
Fair Value Gaps
Detects bullish gaps when the high of bar i-2 is below the low of the current bar.
Detects bearish gaps when the low of bar i-2 is above the high of the current bar.
Draws a semi‑transparent rectangle spanning from bar i-2 to bar i + extension.
Automatically deletes oldest boxes when exceeding the user’s “Max FVG Boxes” limit.
Swing‑High / Swing‑Low Pivots
Identifies a swing‑high when the middle candle of a three‑bar sequence has the highest high.
Identifies a swing‑low when the middle candle has the lowest low.
Marks each pivot with a tiny dot above (high) or below (low) the bar.
Single Breakouts
Tracks the most recent swing‑high and swing‑low levels.
On the first close above the last swing‑high (or below the last swing‑low), recolors that single candle.
Prevents repeated coloring until a new swing pivot forms.
Full Customization
Show/Hide toggles for FVGs, swing pivots, breakouts.
Numeric inputs for FVG extension length and maximum retained boxes.
Color pickers for bullish/bearish gaps, swing pivots, and breakout candles.
ORB with 100 EMAORB Trading Strategy for FX Pairs on the 30-Minute Time Frame
Overview
This Opening Range Breakout (ORB) strategy is designed for trading FX pairs on the 30-minute time frame. The strategy is structured to take advantage of price momentum while aligning trades with the overall trend using the 100-period Exponential Moving Average (100EMA). The primary objective is to enter trades when price breaks and closes above or below the Opening Range (OR), with additional confirmation from a retest of the OR level if the initial entry is missed.
Strategy Rules
1. Defining the Opening Range (OR)
- The OR is determined by the high and low of the first 30-minute candle after market open.
- This range acts as the key level for breakout trading.
2. Trend Confirmation Using the 100EMA
- The 100EMA serves as a filter to determine trade direction:
- Buy Setup: Only take buy trades when the OR is above the 100EMA.
- Sell Setup: Only take sell trades when the OR is below the 100EMA.
3. Entry Criteria
- Buy Trade: Enter a long position when a candle breaks and closes above the OR high, confirming the breakout.
- Sell Trade: Enter a short position when a candle breaks and closes below the OR low, confirming the breakout.
- Retest Entry: If the initial entry is missed, wait for a price retest of the OR level for a secondary entry opportunity.
4. Risk-to-Reward Ratio (R2R)
- The goal is to target a 1:1 Risk-to-Reward (R2R) ratio.
- Stop-loss placement:
- Buy Trade: Place stop-loss just below the OR low.
- Sell Trade: Place stop-loss just above the OR high.
- Take profit at a distance equal to the stop-loss for a 1:1 R2R.
5. Risk Management
- Risk per trade should be based on personal risk tolerance.
- Adjust lot sizes accordingly to maintain a controlled risk percentage of account balance.
- Avoid over-leveraging, and consider moving stop-loss to breakeven if the price moves favourably.
Additional Considerations
- Avoid trading during major news events that may cause high volatility and unpredictable price movements.
- Monitor market conditions to ensure breakout confirmation with strong momentum rather than false breakouts.
- Use additional confluences such as candlestick patterns, support/resistance zones, or volume analysis for stronger trade validation.
This ORB strategy is designed to provide structured trade opportunities by combining breakout momentum with trend confirmation via the 100EMA. The strategy is straightforward, allowing traders to capitalise on clear breakout movements while implementing effective risk management practices. While the 1:1 R2R target provides a balanced approach, traders should always adapt their risk tolerance and market conditions to optimise trade performance.
By following these rules and maintaining discipline, traders can use this strategy effectively across various FX pairs on the 30-minute time frame.
Dynamic Median EMA | QuantEdgeBIntroducing Dynamic Median EMA by QuantEdgeB
Dynamic Median EMA | QuantEdgeB is an adaptive moving average indicator that blends median filtering, a volatility-based dynamic EMA, and customizable filtering techniques to create a responsive yet stable trend detection system. By incorporating Standard Deviation (SD) or ATR bands, this indicator dynamically adjusts to market conditions, making it a powerful tool for both traders and investors.
Key Features:
1. Dynamic EMA with Efficiency Ratio 🟣
- Adjusts smoothing based on market conditions, ensuring optimal responsiveness to price changes.
- Uses an efficiency ratio to dynamically modify the smoothing factor, making it highly adaptive.
2. Median-Based vs. Traditional EMA Source 📊
- Users can choose between a Median-based smoothing method (default: ✅ enabled ) or a traditional price source.
- The median filter provides better noise reduction in choppy markets.
3. Volatility-Based Filtering with Custom Bands 🎯
- Two filtering methods:
a. Standard Deviation (SD) Bands 📏 (default ✅) – Expands and contracts based on
historical deviation.
b. ATR Bands 📈 – Uses Average True Range (ATR) to adjust dynamic thresholds.
- The user can toggle between SD and ATR filtering, depending on market behavior.
4. Customizable Signal Generation ✅❌
- Long Signal: Triggered when the price closes above the selected upper filter band .
- Short Signal: Triggered when the price closes below the lower filter band .
- Dynamically adjusts based on the filtering method (SD or ATR).
5. Enhanced Visuals & Customization🎨
- Multiple color modes available (Default, Solar, Warm, Cool, Classic, X).
- Gradient filter bands provide a clearer view of volatility expansion/contraction.
- Candlestick coloring for instant visual confirmation of bullish/bearish conditions.
________
How It Works:
- Source Selection : Users can choose to use the median of price action or a traditional price feed as the base input for the Dynamic EMA.
- Dynamic EMA Calculation : The indicator applies a volatility-adjusted smoothing algorithm based on the efficiency ratio, ensuring that price trends are detected quickly in volatile markets and smoothly in stable ones.
- Filtering Mechanism : 🎯 Use can chose between two filtering options. Standard deviation to dynamically adjust based on market deviations or ATR Bands to determine trend strength through volatility expansions
- Signal Generation :
1. Bullish (🔵) is triggered when price crosses above the upper band.
2. Bearish (🔴) is generated when price drops below the lower band.
- The filtering method (SD/ATR) determines how the bands expand/contract, allowing for better trade adaptability.
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Use Cases:
✅ For Trend Trading & Breakouts:
- Use SD bands (default setting) to capture trend breakouts and avoid premature entries.
- SD bands expand during high volatility, helping confirm strong breakouts, and contract during low volatility, helping confirm earlier trend exit.
- Consider increasing Dynamic EMA length (default 8) for longer-term trend detection.
✅ For Smoother Trend Filtering:
- Enable ATR bands for a more stable and gradual trend filter.
- ATR bands help reduce noise in choppy conditions while maintaining responsiveness to volatility.
- This setting is useful for traders looking to ride trends with fewer false exits.
✅ For Volatility Awareness:
- Watch the expansion and contraction of the filter bands:
- Wide SD bands = High volatility, breakout potential.
- Tight SD bands = Consolidation, potential trend exhaustion.
- ATR bands provide steadier adjustments, making them ideal for traders who prefer
smoother trend confirmation.
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Customization Options:
- Source Selection 🟢 (Default: Median filtering enabled ✅)
- Dynamic EMA Length ⏳ (Default: 8 )
- Filtering Method🎯 (SD Bands ✅ by default, toggle ATR if needed)
- Standard Deviation Length 📏 (Default: 30 )
- ATR Length 📈 (Default: 14, ATR multiplier 1.3)
- SD Bands Weights:📌
- Default settings (Upper = 1.035, Lower = 1.02) are optimized for daily charts.
- For lower timeframes (e.g., hourly charts), consider using lighter weights such as Upper =
1.024 / Lower = 1.008 to better capture price movements.
- The optimal SD Band weights depend on the asset's volatility, so adjust accordingly to align
with market conditions.
- Multiple Color Themes 🎨 (Default, Solar, Warm, Cool, Classic, X)
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Conclusion
The Dynamic Median EMA | QuantEdgeB is a powerful trend-following & filtering indicator designed to adapt dynamically to market conditions. By combining a volatility-responsive EMA, custom filter bands, and signal-based candlestick coloring, this tool provides clear and reliable trade signals across different market environments. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
ORB Screener with Trailing SLThis is an extension to our already published script ORB with ATR Trailing SL indicator
Many people requested to add screener to the existing indicator but since it's slowing down the performance heavily, we decided to add this as a separate screener.
Note: This screener does NOT plot the chart and so you want to have both plotting and screener, use both scripts together.
Overview:
The ORB Screener is a TradingView indicator designed to assist traders in identifying breakout opportunities based on the Opening Range Breakout (ORB) strategy. It features multi-symbol screening, customizable session timeframes, and a detailed table for quick visual reference and stock scanning.
The ORB Screener utilizes the ORB strategy to calculate breakout levels for multiple symbols. It identifies the high and low during a specified session (e.g., first 5 minutes after market open) and provides insights on whether the price is above the high (bullish), below the low (bearish), or between the range (neutral).
Additionally, the script calculates and displays the RSI values for each symbol, aiding traders in assessing momentum alongside breakout status.
Note: One can add up to 40 symbols for screening the stocks.
Key Features and Inputs:
ORB Session Time: Define a specific timeframe (e.g., "0915-0920") during which the ORB high and low are calculated. This serves as the foundation for identifying breakouts.
Multi-Symbol Screening: Screen up to 40 symbols at once, enabling you to monitor multiple opportunities without switching charts.
Breakout Validation:
Select from two methods for confirming a breakout: Close (based on closing prices) or Touch (based on intraday highs/lows).
Breakout Status Indicators:
Above High: Indicates a current bullish breakout when the price exceeds the ORB high.
Below Low: Indicates a current bearish breakout when the price falls below the ORB low.
Between Range: Indicates no breakout (price remains within the range).
RSI Integration : Calculates the RSI for each symbol to help traders evaluate momentum alongside breakout signals.
Customizable Table Display:
Position: Place the data table at the top, middle, or bottom of the chart and align it left, center, or right.
Size: Choose from multiple table size options for optimal visibility (Auto, Huge, Large, Normal, Small, Tiny).
Visual Feedback:
Green Background: Indicates a breakout happened at least once above the ORB high.
Red Background: Indicates a breakout happened at least once below the ORB low.
Gray Background: Indicates price is within the ORB range.
Judas Swing ICT 01 [TradingFinder] New York Midnight Opening M15🔵 Introduction
The Judas Swing (ICT Judas Swing) is a trading strategy developed by Michael Huddleston, also known as Inner Circle Trader (ICT). This strategy allows traders to identify fake market moves designed by smart money to deceive retail traders.
By concentrating on market structure, price action patterns, and liquidity flows, traders can align their trades with institutional movements and avoid common pitfalls. It is particularly useful in FOREX and stock markets, helping traders identify optimal entry and exit points while minimizing risks from false breakouts.
In today's volatile markets, understanding how smart money manipulates price action across sessions such as Asia, London, and New York is essential for success. The ICT Judas Swing strategy helps traders avoid common pitfalls by focusing on key movements during the opening time and range of each session, identifying breakouts and false breakouts.
By utilizing various time frames and improving risk management, this strategy enables traders to make more informed decisions and take advantage of significant market movements.
In the Judas Swing strategy, for a bullish setup, the price first touches the high of the 15-minute range of New York midnight and then the low. After that, the price returns upward, breaks the high, and if there’s a candlestick confirmation during the pullback, a buy signal is generated.
bearish setup, the price first touches the low of the range, then the high. With the price returning downward and breaking the low, if there’s a candlestick confirmation during the pullback to the low, a sell signal is generated.
🔵 How to Use
To effectively implement the Judas Swing strategy (ICT Judas Swing) in trading, traders must first identify the price range of the 15-minute window following New York midnight. This range, consisting of highs and lows, sets the stage for the upcoming movements in the London and New York sessions.
🟣 Bullish Setup
For a bullish setup, the price first moves to touch the high of the range, then the low, before returning upward to break the high. Following this, a pullback occurs, and if a valid candlestick confirmation (such as a reversal pattern) is observed, a buy signal is generated. This confirmation could indicate the presence of smart money supporting the bullish movement.
🟣 Bearish Setup
For a bearish setup, the process is the reverse. The price first touches the low of the range, then the high. Afterward, the price moves downward again and breaks the low. A pullback follows to the broken low, and if a bearish candlestick confirmation is seen, a sell signal is generated. This confirmation signals the continuation of the downward price movement.
Using the Judas Swing strategy enables traders to avoid fake breakouts and focus on strong market confirmations. The strategy is versatile, applying to FOREX, stocks, and other financial instruments, offering optimal trading opportunities through market structure analysis and time frame synchronization.
To execute this strategy successfully, traders must combine it with effective risk management techniques such as setting appropriate stop losses and employing optimal risk-to-reward ratios. While the Judas Swing is a powerful tool for predicting price movements, traders should remember that no strategy is entirely risk-free. Proper capital management remains a critical element of long-term success.
By mastering the ICT Judas Swing strategy, traders can better identify entry and exit points and avoid common traps from fake market movements, ultimately improving their trading performance.
🔵 Setting
Opening Range : High and Low identification time range.
Extend : The time span of the dashed line.
Permit : Signal emission time range.
🔵 Conclusion
The Judas Swing strategy (ICT Judas Swing) is a powerful tool in technical analysis that helps traders identify fake moves and align their trades with institutional actions, reducing risk and enhancing their ability to capitalize on market opportunities.
By leveraging key levels such as range highs and lows, fake breakouts, and candlestick confirmations, traders can enter trades with more precision. This strategy is applicable in forex, stocks, and other financial markets and, with proper risk management, can lead to consistent trading success.
Precision Cloud by Dr ABIRAM SIVPRASAD
Precision Cloud by Dr. Abhiram Sivprasad"
The " Precision Cloud" script, created by Dr. Abhiram Sivprasad, is a multi-purpose technical analysis tool designed for Forex, Bitcoin, Commodities, Stocks, and Options trading. It focuses on identifying key levels of support and resistance, combined with moving averages (EMAs) and central pivot ranges (CPR), to help traders make informed trading decisions. The script also provides a visual "light system" to highlight potential long or short positions, aiding traders in entering trades with a clear strategy.
Key Features of the Script:
Central Pivot Range (CPR):
The CPR is calculated as the average of the high, low, and close of the price, while the top and bottom pivots are derived from it. These act as dynamic support and resistance zones.
The script can plot daily CPR, support, and resistance levels (S1/R1, S2/R2, S3/R3) as well as optional weekly and monthly pivot points.
The CPR helps identify whether the price is in a bullish, bearish, or neutral zone.
Support and Resistance Levels:
Three daily support (S1, S2, S3) and resistance (R1, R2, R3) levels are plotted based on the CPR.
These levels act as potential reversal or breakout points, allowing traders to make decisions around key price points.
EMA (Exponential Moving Averages):
The script includes two customizable EMAs (default periods of 9 and 21). You can choose the source for these EMAs (open, high, low, or close).
The crossovers between EMA1 and EMA2 help identify potential trend reversals or momentum shifts.
Lagging Span:
The Lagging Span is plotted with a customizable displacement (default 26), which helps identify overall trend direction by comparing past price with the current price.
Light System:
A color-coded table provides a visual representation of market conditions:
Green indicates bullish signals (e.g., price above CPR, EMAs aligning positively).
Red indicates bearish signals (e.g., price below CPR, EMAs aligning negatively).
Yellow indicates neutral conditions, where there is no clear trend direction.
The system includes lights for CPR, EMA, Long Position, and Short Position, helping traders quickly assess whether the market is in a buying or selling opportunity.
Trading Strategies Using the Script
1. Forex Trading:
Trend-Following with EMAs: Use the EMA crossovers to capture trending markets in Forex. A green light for the EMA combined with a price above the daily or weekly pivot levels suggests a buying opportunity. Conversely, if the EMA light turns red and price falls below the CPR levels, look for shorting opportunities.
Reversal Strategy: Watch for price action near the daily S1/R1 levels. If price holds above S1 and the EMA is green, this could signal a reversal from support. The same applies to resistance levels.
2. Bitcoin Trading:
Momentum Breakouts: Bitcoin is known for its sharp moves. The script helps to identify breakouts from the CPR range. If the price breaks above the TC (Top Central Pivot) with bullish EMA alignment (green light), it could signal a strong uptrend.
Lagging Span Confirmation: Use the Lagging Span to confirm the trend direction. For Bitcoin's volatility, when the lagging span shows consistent alignment with the price and CPR, it often indicates continuation of the trend.
3. Commodities Trading:
Support/Resistance Bounce: Commodities such as gold and oil often react well to pivot levels. Look for price bouncing off S1 or R1 for potential entry points. A green CPR light along with price above the pivot range supports a bullish bias.
EMA Pullback Strategy: If price moves in a strong trend and pulls back to one of the EMAs, a green EMA light suggests re-entry on a pullback. If the EMA light is red and price breaks below the BC (Bottom Central Pivot), short positions could be considered.
4. Stocks Trading:
Long Position Strategy: For stocks, use the combination of the long position light turning green (price above TC and EMA alignment) as a signal to buy. This could be especially useful for riding bullish trends in growth stocks or during earnings seasons when volatility is high.
Short Position Strategy: If the short position light turns green, indicating price below BC and EMAs turning bearish, this could be an ideal setup for shorting overvalued stocks or during market corrections.
5. Options Trading:
Directional Bias for Options: The light system is particularly helpful for options traders. A green long position light provides a clear signal to buy call options, while a green short position light supports buying puts.
Pivot Breakout Strategy: Buy options (calls or puts) when the price breaks above resistance or below support, with confirmation from the CPR and EMA lights. This helps capture the sharp moves required for profitable options trades.
Conclusion
The S&R Precision Cloud script is a versatile tool for traders across markets, including Forex, Bitcoin, Commodities, Stocks, and Options. It combines critical technical elements like pivot ranges, support and resistance levels, EMAs, and the Lagging Span to provide a clear picture of market conditions. The intuitive light system helps traders quickly assess whether to take a long or short position, making it an excellent tool for both new and experienced traders.
The S&R Precision Cloud by Dr. Abhiram Sivprasad script is a technical analysis tool designed to assist traders in making informed decisions. However, it should not be interpreted as financial or investment advice. The signals generated by the script are based on historical price data and technical indicators, which are inherently subject to market fluctuations and do not guarantee future performance.
Trading in Forex, Bitcoin, Commodities, Stocks, and Options carries a high level of risk and may not be suitable for all investors. You should be aware of the risks involved and be willing to accept them before engaging in such activities. Always conduct your own research and consult with a licensed financial advisor or professional before making any trading decisions.
The creators of this script are not responsible for any financial losses that may occur from its use. Past performance is not indicative of future results, and the use of this script is at your own risk.
Historical Swing High-Low Gann IndicatorThe Historical Swing High-Low Gann Indicator is a powerful tool designed to track and visualize key market swing points over time. This indicator identifies significant swing highs and lows within a specified time frame and draws connecting lines between these points, allowing traders to observe the natural ebb and flow of the market.
What sets this indicator apart is its ability to maintain all previously drawn swing lines, creating a comprehensive historical view of market movements. Additionally, the indicator projects Gann-style lines from the most recent swing highs and lows, providing traders with potential future support and resistance levels based on the geometric progression of price action.
Features:
Swing Detection: Automatically detects significant swing highs and lows over a user-defined period (default is 3 hours).
Persistent Historical Lines: Keeps all previously drawn lines, offering a complete visual history of the market's swing points.
Gann-Style Projections: Draws forward-looking lines from the latest swing points to help predict possible future market levels.
Customizable Parameters: Allows users to adjust the swing detection period to suit different trading styles and time frames.
This indicator is ideal for traders who rely on price action, support and resistance levels, and Gann theory for their analysis. Whether used in isolation or as part of a broader strategy, the Historical Swing High-Low Gann Indicator provides valuable insights into the market's behavior over time.
Inside Candle StrategyIntroduction
The Inside Candle Breakout Strategy leverages the concept of inside candles as a primary signal for potential breakouts. Unlike common trend-following or scalping strategies, this method focuses on the volatility squeeze indicated by inside candles and aims to capture the momentum that follows these periods of consolidation. The strategy's originality lies in its specific integration of timeframes for signal detection and its application across diverse market conditions without relying on conventional trend indicators.
Strategy Description and Mechanics
Inside Candle Identification: At the heart of this strategy is the detection of inside candles, defined as candles fully contained within the range of the preceding candle. This pattern signifies a temporary balance between buyers and sellers, often preceding significant price movements. The strategy scans for these candles within a user-specified timeframe in the input section of the settings of the strategy, allowing for tailored signal generation based on individual trading preferences.
Entry Points and Market Entries: Upon identifying an inside candle and only once this candle closes, the strategy prepares to enter a trade in the direction of the breakout. Trades are executed in the timeframe selected on the chart, ensuring that entry points are aligned with real-time market movements. This process highlights the strategy's adaptability, making it suitable for various trading styles, from day trading to swing trading.
Overlay Indicator for Enhanced Market Analysis: Accompanying the breakout signals is an overlay indicator comprising two moving averages and a volatility cloud. This feature serves as a secondary tool for market analysis, offering insights into the prevailing market trend and volatility levels. While it doesn't influence the entry or exit signals directly, it provides traders with additional context for refining their decisions, enhancing the strategy's utility. This assistance tool is composed by one moving average and a second line which is calculated adding or subtracting the historical volatility of the asset on the moving average, depending on his momentum.
Strategy Results and Commitment to Realism
Backtesting Protocol: In our commitment to transparency and realism, backtesting results are derived from a dataset that ensures a sufficient number of trades (over 100) to validate the strategy's effectiveness. This approach underscores our dedication to providing traders with reliable and actionable insights.
Risk Management and Trade Sizing: Recognizing the importance of sustainable trading practices, the strategy incorporates strict risk management guidelines. Trades are sized to ensure that only a small percentage of equity is risked on a single trade, adhering to widely accepted risk tolerance levels. The initial account size for this script is set to 10000$.
Strategy Defaults and Justification: The default properties of the strategy, including the risk-reward ratio, average length for moving averages, and other parameters, are carefully chosen based on extensive testing and analysis. These settings represent a balanced approach, aiming to optimize the strategy's performance across a variety of market conditions.
Strategy Components:
- Inside Candles: An inside candle occurs when a candle's high and low are completely contained within the high and low of the previous candle. This pattern indicates a period of consolidation or indecision in the market, often preceding a significant price movement. The strategy detects inside candles based on the user-selected timeframe, allowing traders to capture potential breakouts.
Indicator Overlays:
- Moving Average: A simple moving average (SMA) is calculated over a user-defined length (`Average Length`), providing a dynamic baseline to gauge the market's direction. The strategy offers an option (`Show Moving Average`) to display or hide this moving average on the chart, giving traders control over the visual complexity.
- Volatility Measurement: Alongside the moving average, the strategy assesses market volatility using the standard deviation of the closing prices over the same period defined by the `Average Length`. The moving average is adjusted upwards or downwards by this volatility measure, creating a dynamic channel that reflects the current market conditions.
- Color Gradients for Volatility: The strategy uses a color gradient to fill the area between the moving average and its volatility-adjusted counterpart. This gradient visually represents the volatility level, transitioning from gray (low volatility) to a lighter shade (higher volatility), aiding in the assessment of market sentiment and volatility.
Trading Entries:
- Long Entry: A long position is triggered when the closing price exceeds the high of an inside candle, indicating potential bullish momentum. The strategy places a stop-loss at the low of the inside candle and sets a take-profit level based on the predefined risk-reward ratio (`RR Ratio`).
- Short Entry: Conversely, a short position is initiated when the closing price falls below the low of an inside candle, suggesting bearish pressure. A stop-loss is set at the high of the inside candle, with the take-profit level adjusted according to the risk-reward ratio.
Customization Settings:
- Timeframe: Traders can select the desired timeframe for inside candle detection, tailoring the strategy to fit various trading styles and time horizons.
- RR Ratio: The risk-reward ratio is adjustable, allowing traders to manage the potential risk and return of each trade according to their risk tolerance.
- Average Length: This setting determines the period over which the moving average and volatility are calculated, affecting the sensitivity of the strategy to price movements.
- Visual Settings: Users can customize the appearance of the strategy on their charts, including the colors of the moving average and volatility lines, as well as the line width, enhancing chart readability and personal preference adherence.
Disclaimer
Trading involves significant risk, and it is crucial for traders to conduct their own due diligence before engaging with any strategy. The Inside Candle Breakout Strategy is presented for informational purposes only and does not constitute financial advice.
Better RSIThis script is an enhancement of the original RSI (Relative Strength Index) indicator for TradingView. While the core RSI functionality remains intact, several powerful features have been added to make it a "Better RSI" tool for traders and investors.
Key Features:
1. Divergence Detection: The script now includes both Bullish and Hidden Divergence detection. Bullish Divergence helps identify potential trend reversals when the price makes lower lows, but the RSI makes higher lows. Conversely, Hidden Divergence highlights instances where the RSI and price move in opposite directions, signaling potential trend continuation or reversal.
2. Bollinger Band Breakout Highlight: Users have the option to select "Bollinger Bands" as the Moving Average (MA) type in the settings. When enabled, this feature highlights RSI-Bollinger Band breakouts. It's a valuable tool for traders looking to capitalize on RSI movements in conjunction with Bollinger Bands.
3. Customizable Settings: The script provides a range of customizable settings, allowing you to adjust parameters like RSI length, MA type, Bollinger Bands standard deviation, and more to suit your trading strategy.
4. Clear Visuals: The script offers clear visual cues, with colored backgrounds indicating RSI overbought and oversold levels, as well as extreme breakouts. Bullish and bearish divergence points are also marked with distinct crosses, making it easy to spot potential trading opportunities.
Whether you're a seasoned trader or just starting, the "Better RSI" script empowers you with advanced tools to make more informed trading decisions. Use it to identify potential trend reversals, continuation patterns, and RSI-Bollinger Band breakouts in the market.
Fair Value Gap [MyTradingCoder]Introducing the "Fair Value Gap" indicator, a powerful tool designed to identify and visualize areas of potential market gaps where leftover orders may reside. This indicator utilizes price action analysis, specifically focusing on fair value gaps that occur between the current candle and the candle two bars prior.
The Fair Value Gap indicator draws customizable zones on the chart, representing bullish or bearish areas with distinct green or red colors. These zones highlight market gaps where price action has left a void, indicating the possibility of significant order activity in that region.
Key Features:
Liquidity Zone: Utilize the Fair Value Gap zones as areas of liquidity, offering potential entry points for trades.
Support/Resistance Indicator: Configure the indicator to extend beyond the initial breakout or gap fill, allowing it to act as a support/resistance zone indicator.
The Fair Value Gap indicator has several adjustable settings to customize its behavior according to your trading preferences. These settings include:
Invalidation Outcome: Choose how the fair value gap zone is treated when it becomes invalidated. Options include:
-Stop Updating: Maintain the gap zone in its current state without further updates.
-Delete: Completely remove the fair value gap from the screen.
Invalidation Method: Determine the logic that invalidates the fair value gap. Options include:
-Gap Fill: Visually shrink the zone as price action closes the gap until it is completely filled, at which point it gets deleted entirely.
-Number Of Breakouts: Invalidate the gap after a certain number of breaks or flips over the zone's border. Configure the allowed number of breakouts with the "Breakouts Until Invalidation" input.
-Age Of Gap: Invalidate the gap after a specified number of bars have passed since its creation. Set the threshold with the "Bars Until Invalidation" input.
Color Customization: Customize the appearance of the fair value gap zones with various color inputs, including bullish and bearish border colors, middle line color (shared for both bullish and bearish gaps), bullish and bearish background colors.
Line Width: Adjust the width of the border lines and the center line within the fair value gap zone for better visual clarity.
Please note that the Fair Value Gap indicator is a valuable tool but should be used alongside other technical analysis methods to make well-informed trading decisions. It does not guarantee profitable trades but aims to provide insights into potential areas of interest.
Discover opportunities within market gaps and leverage the power of leftover orders with the Fair Value Gap indicator—an indispensable asset in your trading toolkit.
ATR DeltaThe ATR Delta indicator is based on the concept of Average True Range (ATR), which reflects the average price range over a specified period. By calculating the difference between current and previous ATR values, the ATR Delta provides valuable insights into volatility shifts in the market. This information can help traders identify periods of heightened or diminished price movement, enabling them to adjust their strategies accordingly.
The ATR Delta indicator consists of two main calculations:
-- ATR Calculation : The Average True Range (ATR) is calculated using the specified length parameter. It measures the average price range (including gaps) during that period. A larger ATR value indicates higher volatility, while a smaller value indicates lower volatility.
-- ATR Delta Calculation : The ATR Delta is calculated by subtracting the ATR value of the previous bar from the current ATR value. This calculation captures the change in volatility between the two periods, providing a measure of how volatility has evolved.
Positive ATR Delta values indicate an increase in volatility compared to the previous period. It suggests that price movements have expanded, potentially indicating a more active market. On the other hand, negative ATR Delta values indicate a decrease in volatility compared to the previous period. It suggests that price movements have contracted, potentially signaling a calmer or range-bound market.
The ATR Delta indicator uses coloration to visually represent the relationship between the ATR Delta, zero, and a signal line:
-- Green color is assigned when the ATR Delta is positive, above the signal line, and increasing. This coloration suggests a scenario of higher volatility, as the market is experiencing upward momentum in price swings.
-- Red color is assigned when the ATR Delta is negative, below the signal line, and decreasing. This coloration suggests a scenario of lower volatility, as the market is experiencing downward momentum in price swings.
-- Gray color is assigned for other cases when the ATR Delta and signal line relationship does not meet the above conditions.
These colors are reflected in the columns of the ATR Delta as well as the bar coloration.
The ATR Delta indicator includes a signal line, which acts as a reference for interpreting the ATR Delta values. The signal line is calculated as a moving average (EMA) of the ATR Delta over a specified length. It helps smooth out the ATR Delta fluctuations, providing a clearer indication of the underlying trend in volatility changes. When the ATR Delta crosses above the signal line, it may suggest a potential increase in volatility, indicating a market that is becoming more active. Conversely, when the ATR Delta crosses below the signal line, it may suggest a potential decrease in volatility, indicating a market that is becoming less active.
The coloration of the signal line in the ATR Delta indicator helps to differentiate between positive and negative values and provides further insight into market sentiment. When the signal line is positive, indicating increasing volatility, it is colored lime. This color choice reinforces the bullish sentiment and signifies potential opportunities for trend continuation or breakouts. On the other hand, when the signal line is negative, indicating decreasing volatility, it is colored fuchsia. This color choice highlights the bearish sentiment and suggests potential range-bound or consolidation periods. These colors are reflected in the background of the indicator.
The ATR Delta indicator offers several potential applications for traders:
-- Volatility Analysis : The ATR Delta is invaluable for understanding and analyzing volatility dynamics in the market. Traders can observe the changes in ATR Delta values and use them to assess the current level of price movement. This information can help determine the appropriate strategies and risk management approaches.
-- Breakout Strategies : Traders often use the ATR Delta to identify periods of increased volatility, which frequently accompany breakouts. By monitoring the ATR Delta, traders can anticipate potential price breakouts and adjust their entry and exit levels accordingly.
-- Trend Confirmation : Combining the ATR Delta with trend-following indicators allows traders to validate the strength of a trend. Higher ATR Delta values during an uptrend may indicate stronger momentum and a higher likelihood of continuation. Conversely, lower ATR Delta values during a downtrend may suggest a potential consolidation phase or trend reversal.
Limitations :
-- Lagging Indicator : The ATR Delta indicator is based on historical data and calculates the difference between current and previous ATR values. As a result, it may lag behind real-time market conditions. Traders should be aware of this delay and consider it when making trading decisions. It is advisable to combine the ATR Delta with other indicators or price action analysis for a more comprehensive assessment of market conditions.
-- Parameter Sensitivity : The ATR Delta indicator's effectiveness can be influenced by the selection of its parameters, such as the length of the ATR and signal line. Different market conditions may require adjustments to these parameters to better capture volatility changes. Traders should carefully test and optimize the indicator's parameters to align with the characteristics of the specific market or asset they are trading.
-- Market Regime Changes : The ATR Delta indicator assumes that volatility changes occur gradually. However, in rapidly changing market regimes or during news events, volatility can spike or drop abruptly, potentially rendering the indicator less effective. Traders should exercise caution and consider using additional tools or techniques to identify and adapt to such market conditions.
The ATR Delta indicator is a valuable tool for traders seeking to analyze and monitor volatility dynamics in the market. By calculating the difference between current and previous ATR values, it provides insights into changes in price movement and helps identify periods of increased or decreased volatility. Traders can leverage the ATR Delta to fine-tune their strategies, validate trend strength, and identify potential breakout opportunities. However, it is essential to recognize the limitations of the indicator, including its lagging nature and sensitivity to parameter selection. By combining the ATR Delta with other technical analysis tools and applying sound risk management practices, traders can enhance their decision-making process and potentially improve their trading outcomes.
Dr.Yazdani V063 Session OR + A-Lines
**ACD Indicator: Mark Fisher's Opening Range Breakout Strategy**
**Overview**
The ACD system, developed by legendary trader Mark Fisher in his book *The Logical Trader*, is a powerful methodology for identifying high-probability trade setups based on the market's opening range (OR). This indicator automates Layers 1 and 2 of the ACD strategy, helping you spot breakout opportunities, trend direction, and key support/resistance levels. Perfect for day traders, scalpers, and swing traders in forex, stocks, futures, or crypto.
**How It Works**
1. **Opening Range (OR)**: Calculated from the high/low of the first X minutes (default: 30-60 min) of major sessions (e.g., Tokyo, London, New York).
2. **A Levels**: Drawn at a percentage (default: 0.5% of OR range or ATR-based) above/below the OR. A breakout above A-Up signals a bullish setup; below A-Down signals bearish.
3. **C Levels**: Wider levels (default: 1-2% or ATR multiplier) for stronger confirmation. Breakouts here confirm trend strength and filter fakeouts.
4. **Pivot Ranges**: Includes daily and N-day pivots to gauge overall market bias (above pivots = bullish; below = bearish).
**Key Features**
- **Customizable Sessions**: Tokyo (00:00-01:00 GMT), London (08:00-09:00 GMT), New York (13:30-14:30 GMT) – adjustable.
- **ATR Integration**: Uses Average True Range for dynamic A/C levels (period: 14 by default).
- **Visual Alerts**: Color-coded lines (green for bullish, red for bearish) + optional labels for breakouts.
- **Pivot Display**: Show/hide daily or multi-day pivots with customizable colors.
- **Risk Management**: Built-in stop-loss suggestions based on OR width.
**Trading Rules**
- **Bullish Setup**: Price breaks and holds above A-Up → Enter long at C-Up confirmation. Target: Next pivot or 1:2 risk-reward.
- **Bearish Setup**: Price breaks below A-Down → Enter short at C-Down.
- **Avoid Fakeouts**: Wait for stabilization (e.g., close above/below level).
- **Trend Filter**: Combine with PMA (Pivot Moving Average) for Layer 3 confirmation (search "ACD PMA" in TradingView).
**Settings Guide**
- **OR Timeframe**: Session start time and duration (e.g., 30 min).
- **A Multiplier (%)**: Distance for A levels (default: 0.5).
- **C Multiplier (%)**: Distance for C levels (default: 1.0).
- **ATR Period**: For volatility-based levels (default: 14).
- **Show Pivots**: Toggle daily/N-day ranges.
This indicator balances supply/demand by analyzing volume and price action within the opening range. Backtest on your favorite pairs (e.g., EURUSD, BTCUSD) and adjust for your style. Not financial advice – always use proper risk management!
**Inspired by**: Mark Fisher's ACD Methodology. Open-source for community review. Questions? Comment below!
#ACD #OpeningRange #Breakout #DayTrading #FisherStrategy
SuperSmoother MA OscillatorSuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework
Overview
The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw signals. Ehlers’ SuperSmoother filter was designed to specifically address these flaws by creating a low-pass filter with minimal lag and superior noise suppression, inspired by engineering methods used in communications and radar systems.
This oscillator extends Ehlers’ foundation by combining the SuperSmoother filter with multi-length moving average oscillation, ATR-based normalization, and dynamic color coding. The result is a tool that helps traders identify market momentum, detect reliable crossovers earlier than conventional methods, and contextualize volatility and phase shifts without being distracted by transient price noise.
Unlike conventional oscillators, which either oversimplify price structure or overload the chart with reactive signals, the SuperSmoother MA Oscillator is designed to balance responsiveness and stability. By preprocessing price data with the SuperSmoother filter, traders gain a signal framework that is clean, robust, and adaptable across assets and timeframes.
Theoretical Foundation
Traditional MA oscillators such as MACD or dual-EMA systems react to raw or lightly smoothed price inputs. While effective in some conditions, these signals are often distorted by high-frequency oscillations inherent in market data, leading to false crossovers and poor timing. The SuperSmoother approach modifies this dynamic: by attenuating unwanted frequencies, it preserves structural price movements while eliminating meaningless noise.
This is particularly useful for traders who need to distinguish between genuine market cycles and random short-term price flickers. In practical terms, the oscillator helps identify:
Early trend continuations (when fast averages break cleanly above/below slower averages).
Preemptive breakout setups (when compressed oscillator ranges expand).
Exhaustion phases (when oscillator swings flatten despite continued price movement).
Its multi-purpose design allows traders to apply it flexibly across scalping, day trading, swing setups, and longer-term trend positioning, without needing separate tools for each.
The oscillator’s visual system - fast/slow lines, dynamic coloration, and zero-line crossovers - is structured to provide trend clarity without hiding nuance. Strong green/red momentum confirms directional conviction, while neutral gray phases emphasize uncertainty or low conviction. This ensures traders can quickly gauge the market state without losing access to subtle structural signals.
How It Works
The SuperSmoother MA Oscillator builds signals through a layered process:
SuperSmoother Filtering (Ehlers’ Method)
At its core lies Ehlers’ two-pole recursive filter, mathematically engineered to suppress high-frequency components while introducing minimal lag. Compared to traditional EMA smoothing, the SuperSmoother achieves better spectral separation - it allows meaningful cyclical market structures to pass through, while eliminating erratic spikes and aliasing. This makes it a superior preprocessing stage for oscillator inputs.
Fast and Slow Line Construction
Within the oscillator framework, the filtered price series is used to build two internal moving averages: a fast line (short-term momentum) and a slow line (longer-term directional bias). These are not plotted directly on the chart - instead, their relationship is transformed into the oscillator values you see.
The interaction between these two internal averages - crossovers, separation, and compression - forms the backbone of trend detection:
Uptrend Signal : Fast MA rises above the slow MA with expanding distance, generating a positive oscillator swing.
Downtrend Signal : Fast MA falls below the slow MA with widening divergence, producing a negative oscillator swing.
Neutral/Transition : Lines compress, flattening the oscillator near zero and often preceding volatility expansion.
This design ensures traders receive the information content of dual-MA crossovers while keeping the chart visually clean and focused on the oscillator’s dynamics.
ATR-Based Normalization
Markets vary in volatility. To ensure the oscillator behaves consistently across assets, ATR (Average True Range) normalization scales outputs relative to prevailing volatility conditions. This prevents the oscillator from appearing overly sensitive in calm markets or too flat during high-volatility regimes.
Dynamic Color Coding
Color transitions reflect underlying market states:
Strong Green : Bullish alignment, momentum expanding.
Strong Red : Bearish alignment, momentum expanding.
These visual cues allow traders to quickly gauge trend direction and strength at a glance, with expanding colors indicating increasing conviction in the underlying momentum.
Interpretation
The oscillator offers a multi-dimensional view of price dynamics:
Trend Analysis : Fast/slow line alignment and zero-line interactions reveal trend direction and strength. Expansions indicate momentum building; contractions flag weakening conditions or potential reversals.
Momentum & Volatility : Rapid divergence between lines reflects increasing momentum. Compression highlights periods of reduced volatility and possible upcoming expansion.
Cycle Awareness : Because of Ehlers’ DSP foundation, the oscillator captures market cycles more cleanly than conventional MA systems, allowing traders to anticipate turning points before raw price action confirms them.
Divergence Detection : When oscillator momentum fades while price continues in the same direction, it signals exhaustion - a cue to tighten stops or anticipate reversals.
By focusing on filtered, volatility-adjusted signals, traders avoid overreacting to noise while gaining early access to structural changes in momentum.
Strategy Integration
The SuperSmoother MA Oscillator adapts across multiple trading approaches:
Trend Following
Enter when fast/slow alignment is strong and expanding:
A fast line crossing above the slow line with expanding green signals confirms bullish continuation.
Use ATR-normalized expansion to filter entries in line with prevailing volatility.
Breakout Trading
Periods of compression often precede breakouts:
A breakout occurs when fast lines diverge decisively from slow lines with renewed green/red strength.
Exhaustion and Reversals
Oscillator divergence signals weakening trends:
Flattening momentum while price continues trending may indicate overextension.
Traders can exit or hedge positions in anticipation of corrective phases.
Multi-Timeframe Confluence
Apply the oscillator on higher timeframes to confirm the directional bias.
Use lower timeframes for refined entries during compression → expansion transitions.
Technical Implementation Details
SuperSmoother Algorithm (Ehlers) : Recursive two-pole filter minimizes lag while removing high-frequency noise.
Oscillator Framework : Fast/slow MAs derived from filtered prices.
ATR Normalization : Ensures consistent amplitude across market regimes.
Dynamic Color Engine : Aligns visual cues with structural states (expansion and contraction).
Multi-Factor Analysis : Combines crossover logic, volatility context, and cycle detection for robust outputs.
This layered approach ensures the oscillator is highly responsive without overloading charts with noise.
Optimal Application Parameters
Asset-Specific Guidance:
Forex : Normalize with moderate ATR scaling; focus on slow-line confirmation.
Equities : Balance responsiveness with smoothing; useful for capturing sector rotations.
Cryptocurrency : Higher ATR multipliers recommended due to volatility.
Futures/Indices : Lower frequency settings highlight structural trends.
Timeframe Optimization:
Scalping (1-5min) : Higher sensitivity, prioritize fast-line signals.
Intraday (15m-1h) : Balance between fast/slow expansions.
Swing (4h-Daily) : Focus on slow-line momentum with fast-line timing.
Position (Daily-Weekly) : Slow lines dominate; fast lines highlight cycle shifts.
Performance Characteristics
High Effectiveness:
Trending environments with moderate-to-high volatility.
Assets with steady liquidity and clear cyclical structures.
Reduced Effectiveness:
Flat/choppy conditions with little directional bias.
Ultra-short timeframes (<1m), where noise dominates.
Integration Guidelines
Confluence : Combine with liquidity zones, order blocks, and volume-based indicators for confirmation.
Risk Management : Place stops beyond slow-line thresholds or ATR-defined zones.
Dynamic Trade Management : Use expansions/contractions to scale position sizes or tighten stops.
Multi-Timeframe Confirmation : Filter lower-timeframe entries with higher-timeframe momentum states.
Disclaimer
The SuperSmoother MA Oscillator is an advanced trend and momentum analysis tool, not a guaranteed profit system. Its effectiveness depends on proper parameter settings per asset and disciplined risk management. Traders should use it as part of a broader technical framework and not in isolation.
Simple Pivot Zones (Error-free) — v11. Core Idea
The indicator we built is a “pivot-based zone detector with breakout signals.”
It does three things:
1. Finds important swing highs and swing lows in price (pivots).
2. Creates support and resistance zones around those pivots using volatility (ATR).
3. Watches price action to see if those zones get broken, then gives signals.
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2. What is a Pivot?
A pivot high happens when the price makes a local peak — a bar is higher than the bars around it.
A pivot low happens when the price makes a local dip — a bar is lower than the bars around it.
These are natural turning points in the market, showing where buyers or sellers had strong control temporarily. Traders often use them to draw support (pivot lows) and resistance (pivot highs).
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3. Why Use ATR for Zones?
ATR (Average True Range) measures the average volatility of a market. Instead of drawing just a flat line at the pivot, we create a zone above and below it, sized according to ATR.
Example:
• If ATR is 20 points and zone size is 0.5, then the zone extends 10 points above and below the pivot level.
This turns thin “lines” into thicker areas of interest. Real markets don’t respect razor-thin levels, but zones are more realistic.
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4. How Support & Resistance Zones Work
• Resistance zones are created at pivot highs. They mark where sellers were strong before.
• Support zones are created at pivot lows. They mark where buyers were strong before.
Over time, these zones extend forward until the price interacts with them.
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5. Breakout Detection
The indicator checks whether the price closes beyond the last pivot high or low:
• If price closes above the last pivot high, it means buyers have broken resistance.
• If price closes below the last pivot low, it means sellers have broken support.
These moments are significant because they often trigger trend continuation.
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6. Parameters It Uses
1. Pivot Length – how many bars to look back and forward to confirm a pivot. A higher length makes pivots less frequent but stronger.
2. ATR Length and Multiplier – defines the size of the zones (wider zones in more volatile markets).
3. Max Zones to Keep – avoids clutter by keeping only the most recent zones.
4. Colors & Styling – helps traders visually separate bullish and bearish zones.
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7. How It Helps Traders
• Visual clarity: Instead of guessing support and resistance, the chart automatically highlights them.
• Dynamic adjustment: Zones adapt to volatility using ATR, making them useful in both calm and volatile markets.
• Breakout signals: Traders get notified when price actually breaks key levels, instead of reacting late.
• Cleaner charts: Instead of dozens of hand-drawn lines, the tool manages zones for you, deleting old ones.
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8. The Logic in One Sentence
It finds important swing highs and lows, turns them into support/resistance zones scaled by volatility, and alerts you when the market breaks through them.
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👉 In practice, this helps traders spot where the market is likely to bounce or break, and gives a framework to plan trades — for example, buying on bullish breakouts or selling on bearish breakouts.
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Chartlense Dashboard (Data, Trend & Levels)Chartlense Dashboard (Data, Trend & Levels)
Overview
This dashboard is designed to solve two common problems for traders: chart clutter and the manual drawing of support and resistance levels . It consolidates critical data from multiple indicators into a clean table overlay and automatically plots the most relevant S&R levels based on recent price action. The primary goal is to provide a clear, at-a-glance overview of the market's structure and data.
It offers both a vertical and horizontal layout to fit any trader's workspace.
Key Concepts & Calculations Explained
This indicator is more than a simple collection of values; it synthesizes data to provide unique insights. Here’s a conceptual look at how its core components work:
Automatic Support & Resistance (Pivot-Based):
The dashed support (green) and resistance (red) lines are not manually drawn. They are dynamically calculated based on the most recent confirmed pivot highs and pivot lows . A pivot is a foundational concept in technical analysis that identifies potential turning points in price action.
How it works: A pivot high is a candle whose `high` is higher than a specific number of candles to its left and right (the "Pivot Lookback" is set to 5 by default in the settings). A pivot low is the inverse. By automatically identifying these confirmed structural points, the script visualizes the most relevant levels of potential supply and demand on the chart.
Relative Volume (RVOL):
This value in the table is not the standard volume. It measures the current bar's volume against its recent average (specifically, `current volume / 10-period simple moving average of volume`).
Interpretation: A reading above 2.0 (indicated by green text) suggests that the current volume is more than double the recent average. This technique is used to identify significant volume spikes, which can add conviction to breakouts or signal potential market climaxes.
Consolidated Data for Context:
Other values displayed in the table, such as the EMAs (9, 20, 200) , Bollinger Bands (20, 2) , RSI (14) , MACD (12, 26, 9) , and VWAP (on intraday charts), use their standard industry calculations. They are included to provide a complete contextual picture without needing to load each indicator separately, saving valuable chart space.
How to Use This in Your Trading
This dashboard is designed as a tool for confluence and context , not as a standalone signal generator. Here are some ways to integrate it into your analysis workflow:
As a Trend Filter: Before considering a trade, quickly glance at the EMAs and the MACD values in the table. A price above the key EMAs and a positive MACD can serve as a quick confirmation that you are aligned with the dominant trend.
To Validate Breakouts: When the price is approaching a key Resistance level (red pivot line), watch the RVOL value . A reading above 2.0 on the breakout candle adds significant confirmation that the move is backed by strong interest. The same logic applies to breakdowns below a support level.
To Spot Potential Reversals: Confluence is key. For example, if the price is testing a Support level (green pivot line) AND the RSI in the table is approaching oversold levels (e.g., near 30), it can signal a higher probability reversal setup.
About This Indicator
This indicator was developed by the team at ChartLense to help traders declutter their charts and focus on the data that matters. We believe in making complex analysis more accessible and organized. We hope this free tool is a valuable addition to your trading process.
Parabolic Move Indicator for catching moves with Penny Stocks.
Catch the day’s first big moves! Track premarket gap-ups or gap-downs, then spot early momentum shifts using volume, RSI, VWAP, EMAs, and breakout levels—perfect for acting on strong intraday setups right at market open.
**Description:**
The Parabolic Move Scanner + VWAP Bands + EMAs indicator helps traders identify **high-probability intraday moves**, particularly immediately after market open. It is ideal for stocks that **gap up or down premarket, pull back slightly, and then show renewed strength or weakness** once regular trading begins.
The indicator combines multiple components for precise signals:
* **Relative Volume Filter: ** Highlights bars with unusually high activity to ensure signals are backed by real participation.
* **RSI Momentum Change: ** Detects sudden momentum shifts to identify early strength or weakness.
* **Recent Highs/Lows Breakout: ** Confirms price is breaking short-term resistance or support.
* **VWAP & Standard Deviation Bands: ** Provides intraday trend reference points, with optional daily reset.
* **Exponential Moving Averages (EMAs): ** Tracks trend across short, medium, and long-term intraday periods.
* **Visual Signals: ** Background highlights and horizontal breakout lines make it easy to spot key bars.
* **Alerts: ** Configurable alerts notify you of bullish or bearish parabolic moves.
**Optimal Use Case: **
Use in the first 15–30 minutes after market open at 1 minute Time Frame. Best for **stocks showing a premarket gap followed by a pullback**, then resuming strength (bullish) or weakness (bearish). The combination of **volume, RSI, breakouts, VWAP, and EMAs** ensures you identify the **day’s biggest marktet open moves especially with penny stocks moves** with higher confidence.
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### **Recommended Settings**
**Component** | **Recommended Setting** | **Description / Purpose**
| **Volume Average Length** | 20 bars | Period for calculating average volume to detect relative spikes. |
| **Volume Multiplier** | 2.0 | Current bar volume must exceed 2× average to signal high activity. |
| **RSI Length** | 7 bars | Short-term RSI period to measure momentum changes. |
| **RSI Change Threshold** | 7 | Minimum RSI change required to trigger momentum signal. |
| **Recent Highs Lookback** | 5 bars | Number of bars to check for short-term breakout levels. |
| **Horizontal Line Length** | 10 bars | Length of horizontal breakout line drawn on the chart. |
| **Horizontal Line Color** | Green (bullish) / Red (bearish) | Visual identification of breakout levels. |
| **Horizontal Line Thickness** | 1 | Line width for breakout visualization. |
| **VWAP Source** | hlc3 | Price source for VWAP calculation. |
| **VWAP Bands Multipliers** | 1×, 2×, 3× | Standard deviation multiples for intraday bands.
| **VWAP Daily Reset** | Enabled | Resets VWAP at the start of each trading day.
| **EMA Lengths** | 9, 13, 20, 33, 50 | Short, medium, and long-term EMAs to track intraday trend. |
| **Enable Bearish Signals** | True | Allows detection of bearish parabolic moves. |
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