Daily Standard Deviation (fadi)The Daily Standard Deviation indicator uses standard deviation to map out daily price movements. Standard deviation measures how much prices stray from their average—small values mean steady trends, large ones mean wild swings. Drawing from up to 20 years of data, it plots key levels using customizable Fibonacci lines tied to that standard deviation, giving traders a snapshot of typical price behavior.
These levels align with a bell curve: about 68% of price moves stay within 1 standard deviation, 95% within roughly 2, and 99.7% within roughly 3. When prices break past the 1 StDev line, they’re outliers—only 32% of moves go that far. Prices often snap back to these lines or the average, though the reversal might not happen the same day.
How Traders Use It
If prices surge past the 1 StDev line, traders might wait for momentum to fade, then trade the pullback to that line or the average, setting a target and stop.
If prices dip below, they might buy, anticipating a bounce—sometimes a day or two later. It’s a tool to spot overstretched prices likely to revert and/or measure the odds of continuation.
Settings
Open Hour: Sets the trading day’s start (default: 18:00 EST).
Show Levels for the Last X Days: Displays levels for the specified number of days.
Based on X Period: Number of days to calculate standard deviation (e.g., 20 years ≈ 5,040 days). Larger periods smooth out daily level changes.
Mirror Levels on the Other Side: Plots symmetric positive and negative levels around the average.
Fibonacci Levels Settings: Defines which levels and line styles to show. With mirroring, negative values aren’t needed.
Overrides: Lets advanced users input custom standard deviations for specific tickers (e.g., NQ1! at 0.01296).
รูปแบบชาร์ต
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions).
Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses.
🔵 How to Use
The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions.
The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes.
True Open points are defined as follows :
Yearly Cycle :
Q1: January, February, March
Q2: April, May, June (True Open: April Monthly Open)
Q3: July, August, September
Q4: October, November, December
Monthly Cycle :
Q1: First Monday of the month
Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday)
Q3: Third Monday of the month
Q4: Fourth Monday of the month
Weekly Cycle :
Q1: Monday
Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday)
Q3: Wednesday
Q4: Thursday
Daily Cycle :
Q1: 18:00 - 00:00 (Asian session)
Q2: 00:00 - 06:00 (True Open: Start of London Session)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90 Min Asian Session :
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00 (True Open at 19:30)
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
90 Min London Session :
Q1: 00:00 - 01:30
Q2: 01:30 - 03:00 (True Open at 01:30)
Q3: 03:00 - 04:30
Q4: 04:30 - 06:00
90 Min New York AM Session :
Q1: 06:00 - 07:30
Q2: 07:30 - 09:00 (True Open at 07:30)
Q3: 09:00 - 10:30
Q4: 10:30 - 12:00
90 Min New York PM Session :
Q1: 12:00 - 13:30
Q2: 13:30 - 15:00 (True Open at 13:30)
Q3: 15:00 - 16:30
Q4: 16:30 - 18:00
Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions).
True Opens in these sessions are defined as follows :
Asian Micro Session :
True Session Open : 19:30 - 19:52:30
London Micro Session :
T rue Session Open : 01:30 - 01:52:30
New York AM Micro Session :
True Session Open : 07:30 - 07:52:30
New York PM Micro Session :
True Session Open : 13:30 - 13:52:30
By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions.
🔵 Setting
Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color.
Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options:
None: No line extension
Right: Extend the line to the right
Left: Extend the line to the left
Both: Extend the line in both directions (left and right)
Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames.
The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively.
By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
BarbellFX 2 in 1 ORB + Super Trend with signalsThis “BarbellFX 2 in 1 ORB + Super Trend with signals” indicator merges two powerful trading approaches into a single, customizable script:
1. Multi-Session Open Range Breakout (ORB)
• Automatically detects and plots the London and New York session ranges.
• Optionally displays session highs/lows with colored lines, highlights each session’s background, and plots an EMA for extra trend context.
• Detects and alerts on breakouts above/below session ranges.
• Provides an on-chart table showing session range size and breakout activity.
2. Barbell FX Super Trend System
• Utilizes multi-timeframe (4H, Daily, Weekly) EMA crossovers alongside an RSI and ATR-based volatility filter.
• Shows a simple dash of higher-timeframe trends (Bullish/Bearish) to confirm the overall market direction.
• Alerts and plots buy/sell signals on the chart based on 4H EMA crossovers, RSI conditions, and user-defined volatility thresholds.
• Option to filter signals further by requiring all three higher timeframes (4H, Daily, Weekly) to align.
Fully Customizable Toggles
• Global On/Off: Toggle each main component (ORB or Super Trend) individually.
• Session Lines, Backgrounds, EMA, Table: Enable or disable each visual element in the ORB section.
• Super Trend Settings: Show/hide 4H EMAs, signals, and the multi-timeframe trend dashboard.
• Alerts: Toggle breakout alerts for the ORB sessions and 4H buy/sell alerts for the Super Trend system.
This combination helps traders quickly spot intraday session breakouts that align with higher-timeframe momentum, all while keeping the chart clean via on/off switches for each feature.
FibLines and pivot pointsThis indicator integrates Fibonacci retracements and pivot points to identify potential support and resistance levels for trading decisions. The script calculates pivot points using standard formulas (Classic, Fibonacci, Woodie, or Camarilla) and overlays Fibonacci retracement levels based on recent price swings.
Key Features:
Pivot Points Calculation: Computes support and resistance levels using the chosen pivot formula.
Fibonacci Retracements: Automatically plots retracement levels from recent highs and lows.
Confluence Zones: Highlights areas where Fibonacci levels align with pivot points for stronger signals.
Customization: Allows traders to select different pivot types, timeframes, and Fibonacci settings.
Alerts & Signals: Generates alerts when price approaches a significant confluence zone.
How It Works:
Detects recent highs and lows for Fibonacci retracement calculation.
Computes pivot points and their support/resistance levels.
Identifies key Fibonacci levels (e.g., 23.6%, 38.2%, 50%, 61.8%, 78.6%).
Plots both sets of levels on the chart, highlighting overlapping zones.
Provides visual signals & alerts when price interacts with these levels.
This indicator helps traders spot potential reversal or breakout areas by leveraging the strength of both Fibonacci and pivot points.
Global M2 Money Supply (Days Offset)The Global M2 Money Supply indicator, updated by Colin Talks Crypto on March 2, 2025, and modified by Grok (xAI), is a TradingView Pine Script (v6) tool designed to visualize the aggregated M2 money supply from key global regions, overlaid on a price chart (e.g., BTCUSD) with a right-axis scale. It aggregates daily M2 data from regions including North America, Eurozone, Asia, and others, adjusted with forex rates (e.g., EURUSD, JPYUSD), and scales the total to billions for readability. Users can adjust the time offset (default 76 days, range -1000 to 1000) to align M2 with Bitcoin price movements, reflecting lags of 70–76 days as noted in market analyses. Additionally, a customizable smoothing period (default 20 days, range 1 to 100) applies a Simple Moving Average (SMA) to reduce noise, highlighting longer-term trends. A debug plot of raw M2 data (gray line) aids in verifying data integrity, making this indicator a valuable tool for crypto traders analyzing liquidity impacts on price action.
[TehThomas] - ICT Volume ImbalanceThis script is a Volume Imbalance (VI) detector and visualizer for use on the TradingView platform. The goal of the script is to automatically identify areas where there are significant imbalances in the volume of trades between consecutive candlesticks and visually highlight these areas. These imbalances can provide traders with valuable insights about the market’s current condition, often signaling potential reversal or continuation points based on price and volume action.
ICT (Inner Circle Trader) Concept of Volume Imbalances
Volume imbalances are a critical concept in the ICT trading methodology. They refer to situations where there is an unusual or significant difference in volume between two consecutive candlesticks, which might indicate institutional or large player activity. According to ICT principles, these imbalances can show us areas of market inefficiency or potential price manipulation. By identifying these imbalances, traders can gain an edge in understanding where the market is likely to move next.
Bullish and Bearish Volume Imbalances:
Bullish Volume Imbalance: This occurs when there is a strong increase in buying pressure, typically indicated by a higher volume on a candle that closes significantly above the previous one, often leaving a gap or larger price movement. The market could be preparing to push higher, and the volume shows a clear shift in buying demand.
Bearish Volume Imbalance:
Conversely, a bearish imbalance occurs when there is a strong increase in selling pressure, typically signaled by a candle that closes significantly lower than the previous one, again with higher volume. This could indicate that large players are offloading positions, and the price is likely to drop further.
Key Features and Functions of the Script
The script automates the process of detecting these volume imbalances and visually marking them on a price chart. Let’s explore its functionality in detail.
1. Inputs Section
The script allows for significant customization through its input options, which help traders adjust the detection and visualization of volume imbalances based on their individual preferences and trading style. Below are the details:
lookback (250 bars): This input specifies the number of bars (or candles) the script should look back when analyzing the volume imbalance. By setting this to 250, the user is looking at the last 250 bars on the chart to detect any significant volume imbalances. This period is adjustable between 50 to 500 bars.
volumeThreshold (1.0 multiplier): This input helps set the sensitivity for identifying volume imbalances. The script compares the volume of the current candle with the previous one, and if the current volume exceeds the previous volume by this threshold multiplier (in this case, 1.0 means at least equal to the previous volume), then it triggers an imbalance. Users can adjust the multiplier to suit different market conditions.
showBoxes (true/false): This toggle determines whether the boxes representing volume imbalances are drawn on the chart. When enabled, the script visually highlights the imbalances with colored boxes.
fillBaseColor (orange with 80% opacity): This is the color setting for the background of the imbalance boxes. A softer color (like orange with opacity) ensures the imbalance is highlighted without obscuring the price action.
borderColor (gray): The color of the border around the imbalance boxes. This adds a visual distinction to make the imbalance areas more visible.
borderWidth (1 pixel): This controls the width of the box's border to adjust how prominent it appears.
rightOffset (30 bars): This input controls how far the imbalance box extends to the right on the chart. It helps users anticipate the potential continuation of the imbalance beyond the current candle.
allowWickOverlap (true/false): This setting allows imbalances to be identified even if the wicks of the two consecutive candlesticks overlap. If set to false, only imbalances where the bodies of the candlesticks don’t overlap are considered.
showBrokenBoxes (true/false): If enabled, once a volume imbalance no longer holds true (i.e., the price breaks through the box), the box is marked as "broken." If disabled, the box is deleted when the imbalance condition no longer applies.
brokenBoxColor (red): This controls the color of the box when it is broken, which can be used as a visual cue that the imbalance was invalidated or no longer valid for analysis.
2. Volume Imbalance Function
This is the core function of the script, where the logic to detect bullish and bearish volume imbalances is implemented.
Bullish Imbalance Condition:
The first condition checks if the low of the current candle is greater than the high of the previous candle. This suggests that the market is moving upward with buying pressure.
The second condition checks whether the volume of the current candle is higher than the previous candle by the volumeThreshold multiplier. If both conditions are satisfied, a bullish imbalance is detected.
Bearish Imbalance Condition:
The first condition checks if the high of the current candle is lower than the low of the previous candle. This suggests downward price action with selling pressure.
The second condition checks whether the current volume exceeds the previous volume by the threshold
Allow Wick Overlap: If allowWickOverlap is set to true, the script will still detect imbalances if the wicks of the two candles overlap (common in volatile markets). If false, imbalances are only considered if the wicks do not overlap.
3. Box Creation and Management
When a volume imbalance is detected, the script creates a box on the chart:
The bullish imbalance box is drawn using the minimum of the open and close of the current bar as the top boundary and the maximum of the open and close of the previous bar as the bottom boundary.
Conversely, the bearish imbalance box is drawn in reverse, using the maximum of the current bar’s open and close as the top boundary and the minimum of the previous bar’s open and close as the bottom boundary.
Once the box is created, it is displayed on the chart with the specified background color, border color, and width.
4. Processing Existing Boxes
After detecting a new imbalance and drawing a box, the script checks whether the box should still remain on the chart:
If the price moves beyond the boundaries of the imbalance box, the box is marked as broken (if showBrokenBoxes is enabled), and its color is changed to red, signifying that the imbalance is no longer valid.
If the box remains intact (i.e., the price has not broken the defined boundaries), the script keeps the box extended to the right as the market continues to evolve.
5. Removing Outdated Boxes
Lastly, the script removes boxes that are older than the specified lookback period. For example, if a box was created 250 bars ago, it will be deleted after that period. This ensures the chart stays clean and only focuses on relevant imbalances.
Why This Script is Useful for Traders
This script is extremely valuable for traders, especially those following the ICT methodology, because it automates the process of detecting market inefficiencies or imbalances that might signal future price action. Here’s why it’s particularly useful:
Identifying Key Areas of Interest: Volume imbalances often point to areas where institutional or large-scale traders have entered the market. These areas could provide clues about the next significant move in the market.
Visualizing Market Structure: By automatically drawing boxes around volume imbalances, the script helps traders visually identify potential areas of support, resistance, or turning points, enabling them to make informed trading decisions.
Time Efficiency: Instead of manually analyzing each candlestick and volume spike, this script does the heavy lifting, saving traders valuable time and allowing them to focus on other aspects of their strategy.
Enhanced Trade Entries and Exits: By understanding where volume imbalances are occurring, traders can time their entries (buying during bullish imbalances and selling during bearish ones) and exits (as imbalances break) more effectively, thus improving their chances of success.
Conclusion
In summary, this script is a powerful tool for traders looking to implement volume imbalance strategies based on the ICT methodology. It automates the identification and visualization of significant imbalances in price and volume, offering traders a clear visual representation of potential market turning points. By customizing the settings, traders can tailor the script to their preferred timeframes and sensitivity, making it a flexible and effective tool for any trading strategy.
__________________________________________
Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading guides. Let’s grow and trade smarter together! 📈
Hierarchical + K-Means Clustering Strategy===== USER GUIDE =====
Hierarchical + K-Means Clustering Strategy
OVERVIEW:
This strategy combines hierarchical clustering and K-means algorithms to analyze market volatility patterns
and generate trading signals. It uses a modified SuperTrend indicator with ATR-based volatility clustering
to identify potential trend changes and market conditions.
KEY FEATURES:
- Advanced volatility analysis using hierarchical clustering and K-means algorithms
- Modified SuperTrend indicator for trend identification
- Multiple filter options including moving average and ADX trend strength
- Volume-based exit mechanism to protect profits
- Customizable appearance settings
SETTINGS EXPLANATION:
1. SuperTrend Settings:
- ATR Length: Period for ATR calculation (default: 11)
- SuperTrend Factor: Multiplier for ATR to determine trend bands (default: 3)
2. Hierarchical Clustering Settings:
- Training Data Length: Number of bars used for clustering analysis (default: 200)
3. Appearance Settings:
- Transparency 1 & 2: Control the opacity of trend lines and fills
- Bullish/Bearish Color: Colors for uptrend and downtrend visualization
4. Time Settings:
- Start Year/Month: Define when the strategy should start executing trades
5. Filter Settings:
- Moving Average Filter: Uses SMA to filter trades (only enter when price is on correct side of MA)
- Trend Strength Filter: Uses ADX to ensure trades are taken in strong trend conditions
6. Volume Stop Loss Settings:
- Volume Ratio Threshold: Controls sensitivity of volume-based exits
- Monitoring Delay Bars: Number of bars to wait before monitoring volume for exit signals
HOW TO USE:
1. Apply the indicator to your chart
2. Adjust settings according to your trading preferences and timeframe
3. Long signals appear when price crosses above the SuperTrend line (▲k marker)
4. Short signals appear when price crosses below the SuperTrend line (▼k marker)
5. The strategy automatically manages exits based on volume balance conditions
INTERPRETATION:
- Green line/area: Bullish trend - consider long positions
- Red line/area: Bearish trend - consider short positions
- Yellow line: Moving average for additional trend confirmation
- Volume balance exits occur when buying/selling pressure equalizes
RECOMMENDED TIMEFRAMES:
This strategy works best on 1H, 4H, and daily charts for most markets.
For highly volatile assets, shorter timeframes may also be effective.
RISK MANAGEMENT:
Always use proper position sizing and consider setting additional stop losses
beyond the strategy's built-in exit mechanisms.
===== END OF USER GUIDE =====
Trend Structure Shift By BCB Elevatebcbelevate.gumroad.com
Trend Structure Shift By BCB Elevate
Overview:
This indicator is a streamlined tool designed to assess the market’s trend structure by pinpointing key price swings. By detecting higher highs and lower lows, the indicator categorizes the market as Bullish, Bearish, or Neutral. Developed by BCB Elevate, it serves as an educational tool for traders seeking to enhance their technical analysis toolkit.
Script Details:
Swing Length Input:
The user can define the “Swing Length” (default is 10 bars) to set the period over which the indicator calculates price extremes.
The script determines the highest high (hh) and the lowest low (ll) within this defined period using ta.highest and ta.lowest functions.
Comparison With Previous Swings:
The script calculates the previous swing’s high (prev_hh) and low (prev_ll) over a period of twice the swing length (using a one-bar offset) to provide a basis for comparison.
If the current highest high exceeds the previous swing’s high, the market is flagged as Bullish.
Conversely, if the current lowest low falls below the previous swing’s low, the market is flagged as Bearish.
If neither condition is met, the market remains Neutral.
Trend Variable and Logical Flow:
A persistent variable trend is declared to store the current trend state.
Using the conditional operator (?:), the script assigns a value of 1 for Bullish, -1 for Bearish, or maintains the previous trend if no new swing condition is met.
Visual Table Display:
The indicator creates a table on the chart to display the current trend status.
The user can choose the table’s position from four options (Top Right, Top Left, Bottom Right, or Bottom Left) to ensure the display aligns with their chart layout.
The table updates dynamically with the text “Bullish,” “Bearish,” or “Neutral” and uses corresponding colors (green for bullish, red for bearish, and gray for neutral) for easy visual interpretation.
Usage & Interpretation:
Input Customization:
Adjust the Swing Length to either capture more granular swings or to smooth out the noise for longer-term trends.
Choose your preferred table position to integrate the indicator seamlessly into your existing chart setup.
Trend Signals:
Bullish Trend: Displayed when a new higher high is identified compared to the previous swing period. This suggests that buyers are in control.
Bearish Trend: Displayed when a new lower low is observed relative to the prior period, indicating selling pressure.
Neutral: Indicates that no significant new swing has been detected, meaning the market may be in a consolidation phase.
Important Notices and Compliance:
Educational Purpose:
This indicator is provided for educational and informational purposes only. It is not intended as financial advice.
Always perform your own analysis or consult with a professional advisor before making any trading decisions.
Final Thoughts:
The "Trend Structure Shift By BCB Elevate" indicator offers a clear, customizable method for evaluating market trends based on price swings. Whether you are a beginner or an experienced trader, understanding these key swing dynamics can enhance your market perspective and assist in making more informed trading decisions.
Happy Trading!
NDX Scalping StrategySignals Long and Short Entries using moving averages with profit targets on NDX
Global Futures Market Sessions & Key LevelsAutomatically marks time zones, and levels for global market sessions
asia london new york
high and low
prior day high and low
imbalance (1st hour orb)
etc
Remove Gaps (Superimposed)This to delete the gap, is to delete all gap that show the graph when it starts with a a gap
BRAHIM KHATTARA Components of the Strategy
Input Settings:
RSI Oversold Level: Set at 30, meaning the asset is considered oversold when RSI drops below this level.
RSI Overbought Level: Set at 70, meaning the asset is considered overbought when RSI rises above this level.
Stop Loss: A percentage-based stop loss (default: 1%).
Take Profit: A percentage-based take profit level (default: 2%).
Trade Entry Conditions:
A buy trade (long position) is triggered when the RSI is below 30 and was previously above 30 in the last candle.
A sell trade (short position) is triggered when the RSI is above 70 and was previously below 70 in the last candle.
Risk Management:
When a long position is opened:
The take profit is set 2% above the entry price.
The stop loss is set 1% below the entry price.
When a short position is opened:
The take profit is set 2% below the entry price.
The stop loss is set 1% above the entry price.
Buy and Sell Signals on the Chart:
A "BUY" label appears below the candles when a buy condition is met.
A "SELL" label appears above the candles when a sell condition is met.
Fibonacci Bollinger Bands:
The middle line is calculated using VWMA (Volume-Weighted Moving Average).
The bands are calculated using standard deviation with Fibonacci levels: 0.236, 0.382, 0.5, 0.618, 0.764, and 1.0.
The upper bands act as resistance, while the lower bands act as support.
✅ Advantages of the Strategy
✔️ Simple and easy to understand, relying only on RSI and support/resistance levels.
✔️ Suitable for scalping and swing trading.
✔️ Uses Fibonacci Bollinger Bands to improve entry and exit accuracy.
✔️ Clear risk management with predefined stop loss and take profit levels.
Stock to Gold RatioYou can use this as simply a guide or to see how a physical asset compares to a company or another physical commodity.
All time frames and all stocks that can be charted work with this code/indicator. It relies on the gold spot and not the futures so there isn't as much noise in the charting.
If you want to trend line arcuately, then go into settings and in style make sure to apply crosses or circles and place your points on the highs or lows you want. Then simply reapply line choice and go from there.
You may say why gold...Well maybe its your currency that is falling and not the metal going up hmm....Kinda like the stock I chose to advertise this.
For when it come to hands full of things, One is Silver, and the other...Gold.
Gold Trading Bot with Robust Risk ManagementMarket Focus:
The script is now clearly labeled for gold trading. When using it, load a gold chart (such as XAUUSD) on TradingView.
Risk Management:
It uses an ATR-based stop loss and take profit mechanism. The stop loss and take profit distances adjust dynamically with market volatility, which is particularly useful in the sometimes volatile gold market.
Strategy Logic:
A simple moving average crossover triggers a long position. This example is a starting point; you might want to experiment with different indicators or add short conditions depending on your approach.
Customization:
While the default values (e.g., ATR period, multipliers, MA lengths) provide a solid foundation, consider optimizing these settings through backtesting specifically for gold to match its price dynamics.
Stochastic with Delta Indicator will give auto buy and sell signal based on stochastic( 14 period), cummulative volume delta
Damien - M5 EMA crossoverIndicateur de croisement des moyennes mobiles en M5 pour XAUUSD, BTCUSD, EURUSD et GBPUSD
High Volume & Chart Patternsit indicates high volume with 150 percent . useful at support and resistence
200 Day SMA HighlighterHighlights area under chart for 200 day moving average (adjustable).
Shows color coding for when price is above or below the sma.
ID 10 Second BarsEnters numbers 1, 3 and 5 under the appropriate bars on the 10 second chart and permits you to adjust the colors of each number.
5 Dakika Özel AL-SAT5 Dakikalık Performans Optimizasyonları:
Hızlı EMA Kesmeleri: 20/50 EMA kombinasyonu
Agresif Risk Yönetimi: %0.25 SL / %0.50 TP
Hacim Spike Filtresi: 1.5x ortalama hacim zorunlu
Dar Bollinger Bandı: 1.8 standart sapma ile
RSI Thresholds: 38/62 seviyelerinde
Kullanım Önerileri:
Zaman Seçimi:
Londra Açılışı (08:00 TSİ)
New York Açılışı (14:30 TSİ)
Enstrüman Seçimi:
EUR/USD, GBP/USD, BTC/USDT gibi yüksek likidite çiftleri
Risk Yönetimi:
Maksimum pozisyon büyüklüğü: %2-5 sermaye
Günde maksimum 5 işlem kuralı
ST -Dashboard Volume MTF , [Sese04]User Guide: ST - Dashboard Volume MTF
Introduction
This script displays a multi-timeframe (MTF) volume dashboard, tracking buy and sell volumes and the moving averages of volume. It is designed for traders using ICT (Inner Circle Trader) and SMC (Smart Money Concepts) to quickly visualize market dynamics across multiple timeframes.
Settings and Features
📌 User Inputs
Customizable settings allow traders to adjust the dashboard display and volume moving averages.
Volume Display per Timeframe
show_vol_1m: Show volume for 1-minute chart.
show_vol_5m: Show volume for 5-minute chart.
show_vol_15m: Show volume for 15-minute chart.
show_vol_1h: Show volume for 1-hour chart.
show_vol_4h: Show volume for 4-hour chart.
show_vol_1d: Show volume for 1-day chart.
Volume Moving Average Settings
ma_length_short: Length of the short-term moving average (default 5 periods).
ma_length_long: Length of the long-term moving average (default 14 periods).
Dashboard Customization
dashboard_position: Dashboard position (Bottom Right, Bottom Left, Top Right, Top Left).
text_color: Text color for the dashboard.
text_size: Text size (small, normal, large).
How the Script Works
🔹 1. Calculating Buy and Sell Volume
The calculate_buy_sell function separates buy and sell volume based on the candle's open and close price:
If the closing price is higher than the opening price → Buy volume 📈.
If the closing price is lower or equal to the opening price → Sell volume 📉.
🔹 2. Retrieving Volume Data Across Multiple Timeframes
The function get_volumes collects buy and sell volume data for different timeframes using request.security().
The available timeframes are: 1m, 5m, 15m, 1h, 4h, and 1d.
🔹 3. Calculating Volume Moving Averages
The script uses ta.sma() to compute moving averages for volume trends:
ma_vol_short: Short-term moving average (e.g., 5 periods).
ma_vol_long: Long-term moving average (e.g., 14 periods).
🔹 4. Creating and Displaying the Dashboard
A table (table.new()) is generated at the last bar (barstate.islast) to display the volume data:
A title “📊 Volume Dashboard (Buy vs Sell)” in purple.
Column headers:
TIMEFRAME (e.g., 1M, 5M, 15M, 1H, 4H, 1D).
BUY VOLUME (dark blue).
SELL VOLUME (dark red).
Buy and Sell Volume values are displayed in their respective cells for easy reading.
How to Use This Script on TradingView?
Adding the Script
Open TradingView.
Go to Pine Editor and paste the script.
Click "Add to Chart".
Configuring the Settings
Open the indicator settings.
Enable/disable the desired timeframes.
Adjust the moving average lengths if necessary.
Interpreting the Data
Increasing buy volume across timeframes may indicate bullish momentum.
Rising sell volume suggests a bearish reversal.
Crossovers of volume moving averages can help detect market shifts.
Conclusion
This script is a powerful tool for analyzing volume dynamics across multiple timeframes. It provides a quick overview of the balance between buyers and sellers, essential for ICT scalping and liquidity-based trading.
🚀 Pro Tip: Combine this dashboard with other SMC indicators (engulfing candles, pivot points) to refine your trading decisions.
