Daily, Weekly, Monthly Separators (ScalpTheTicker)I put together this Daily, Weekly and Monthly separating indictor after I couldn't find one on Tradingview that did what I was looking for.
It is basic but it does the job I needed.
Feel free to use this indicator and hopefully it does what you need.
Cicli
Weekly and Daily SeparatorI put together this Weekly and Daily separating indicator as I couldn't find one already done that suited what I was trying to find.
This indicator is basic but it does the job I needed.
Feel free to use it and I hope it is what you are looking for.
SBMS Timing Candle(5m) + Guru Candle(1m)This is giving you the particular candle in 5m which may decide the trend of the day.
If selected Guru candle show then it gives marking on GURU candle in 1m.
Custom Moving AveragesThis moving average indicator is a combination of EMA 20 SMA 50 EMA 100 sma 200 it is used full of swing traders
ICT Average Daily Range (ADR)📊 ICT Average Daily Range (ADR) Indicator
This indicator implements the Average Daily Range (ADR) concept taught by ICT (Inner Circle Trader). It calculates the average range of previous trading days and projects key levels for the current session, helping traders identify high-probability targets and reversal zones.
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✨ KEY FEATURES
- Accurate ADR Calculation - Uses only completed trading sessions (excludes current incomplete day)
- ICT Judas Swing Levels - Highlights the critical 1/3 ADR levels where institutional manipulation often occurs
- Two Calculation Modes - New York Midnight (ICT recommended) or Classic Daily
- Customizable Fractional Levels - 1/3, 2/3, 25%, 50%, 75% of ADR
- Smart Labels - Display price levels and percentage from open
- Flexible Visual Style - Separate line styles for different level groups
- Session Dividers - Optional vertical lines at session start
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📅 WEEKEND SESSION HANDLING
How Forex Sessions Work:
- Monday-Thursday: Full 24-hour sessions
- Friday: Partial session (00:00 to ~17:00 NY time)
- Sunday: Partial session (~17:00 NY to Monday 00:00)
- Saturday: No trading
Impact on ADR:
Both Friday and Sunday are partial sessions which can lower your ADR average. For example: Mon-Thu average 100 pips, Fri 70 pips, Sun 30 pips = 5-day ADR of 80 pips.
Other Markets:
- Crypto: 24/7 trading, no partial days
- Futures/Stocks: No Sunday session
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🎓 ICT CONCEPTS
Average Daily Range (ADR)
Statistical measure of average price movement per day. Acts as a "magnet" for price - markets tend to fulfill their ADR.
1/3 ADR Levels - "Judas Swing"
ICT's signature concept for identifying manipulation zones. Price often sweeps these levels to trap retail traders before reversing. High-probability reversal areas during London/NY sessions.
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⚙️ SETTINGS GUIDE
ADR Period: Number of days for calculation (default 5)
- Lower values = More responsive
- Higher values = Smoother levels
Calculation Mode:
- New York Midnight - ICT standard, best for Forex
- Classic Daily - Exchange timezone
Level Display:
- ADR High/Low - Primary targets
- 1/3 Levels - Judas Swing zones
- 2/3 Levels - Trending day targets
- Quarter Levels - 25% and 75%
- 50% Level - Mid-range
Visual Options:
- Separate line styles for each level group
- Customizable colors and width
- Optional labels with price/percentage
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💡 TRADING TIPS
1. Early Session: If price moves to 1/3 ADR quickly, watch for Judas Swing reversal
2. Mid Session: Use 2/3 levels as continuation targets in trending markets
3. Late Session: ADR completion often marks session extremes
4. Risk Management: Use fractional levels for scaling positions
5. Confluence: Combine with Fair Value Gaps, Order Blocks, and Liquidity Pools
Best Timeframes: 15m, 30m, 1H, 4H for intraday trading
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📝 NOTES
- Based on concepts taught by ICT (Inner Circle Trader)
- Requires at least 5 completed sessions for full accuracy
- ICT suggested using "New York Midnight" mode
- Weekend sessions handled based on actual market hours
- Be aware that Friday/Sunday partial sessions may lower ADR average
Created with focus on clean implementation and ICT's core teachings.
Balance of Power Scalper Version 5.0Balance of Power - Volume based Scalper. Scalps based on buying and selling volume. Ideal for volatile crypto futures pairs.
Crypto Narratives Performance [SwissAlgo]Crypto Narratives Performance Index
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What this indicator is
This script displays a relative performance index that compares the market capitalization trends of various crypto categories (narratives) against a selected 'Base asset' (BTC, ETH, or SOL) over a configurable rolling time window (default: 14-day).
It’s designed to help users observe sector rotation dynamics across the crypto ecosystem — such as whether DeFi is outperforming ETH, or if AI coins are underperforming relative to BTC.
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What it does
This indicator measures the percentage change in total market cap of a selected crypto sector over a user-defined lookback period, and compares it to the percentage change in market cap of a chosen base asset over the same period. The result is expressed as a ratio and transformed into a z-score, normalized over the last 180 bars. This allows the user to easily identify whether the sector is outperforming or underperforming the base asset in relative terms.
It also includes a smoothed signal line, a performance table, and marked background zones (levels of standard deviations) to help interpret potential extremes in sector outperformance or underperformance.
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How it works
It retrieves daily market capitalization data for both the selected base asset and sector from TradingView's CRYPTOCAP: data feed.
It computes the percent change in $ market cap over one of the following selectable periods: 1, 3, 7, 14, 30, or 60 days (14-day is the default).
The percentage change of the base is subtracted from the percentage change of the sector, producing a raw relative performance differential.
This differential is then normalized into a Z-Score, using a 180-day rolling mean and standard deviation.
The Z-Score is smoothed using an exponential moving average (EMA), and plotted against a secondary EMA signal line (to track potential performance trend changes).
A visual table compares the performance of all listed sectors against the selected base, ranked and annotated with basic symbols (stars for performance, alerts for underperformance vs. the selected 'Base Asset', i.e. BTC or ETH or SOL).
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Visual Features
* Color-coded plot line: Turns green, yellow, orange, or red based on zone and momentum.
* Signal line: Gray EMA of the z-score for trend comparison.
* Background fill zones:
±3 = "Extreme" outperform/underperform
±2 to ±3 = "Strong" zone
±1 to ±2 = Mild over/underperformance
±1 to -1 = Neutral performance range
* Dynamic Table:
Displays all sector vs. base performance differences.
Highlights the selected comparison sector.
Uses emojis (⭐/⚠️) for relative status at a glance.
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Who may benefit
This script may assist:
Crypto analysts tracking capital rotation across narratives.
Swing traders looking to spot momentum trends in crypto sectors.
Portfolio allocators observing which groups are leading or lagging relative to majors (BTC, ETH, SOL).
Developers or researchers evaluating sentiment shifts across categories (e.g., AI tokens rising vs. DeFi).
It is not a buy/sell signal tool — it's a sector/crypto narratives -relative monitor.
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Key Applications
Detect sector rotation (e.g., when Layer 1s start to outperform ETH, or BTC/SOL).
Monitor if certain categories are experiencing sustained interest or fading momentum.
Compare the strength of emerging narratives like DePIN, RWA, or World Liberty vs. majors.
Identify possible "mean-reversion" setups when a sector is excessively stretched relative to its historical norm.
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Limitations
Data dependency: All calculations rely on TradingView’s CRYPTOCAP: market cap feeds.
Normalization window: The z-score normalization is static at 180 bars; in choppy markets this may over-smooth or underreact.
Asset inclusion: The sectors reflect predefined index aggregates. Not all coins in a category may be equally weighted or relevant.
Lag: EMA smoothing introduces delay in reactive plotting.
No intra-day support: Works best on daily timeframes, as CRYPTOCAP: feeds are daily-only.
Not predictive: This script reflects past capital flows. It does not forecast future price moves.
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Customization
Users can adjust the following:
Base asset: BTC, ETH, SOL
Crypto sector (comparison): Choose from 11+ sectors, including DeFi, AI, Memes, Layer 1, etc.
Rolling performance period: Choose between 1–60 days.
Smoothing settings: Length of the EMA for the ratio and signal line.
Show/hide info table: Useful for screen space management.
Special Notes:
Please set the chart timeframe at 1-day in line with CRYPTOCAP data availability.
Please select the dark color scheme to view table and colors properly.
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Risk Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice, trading advice, or an invitation to engage in any financial strategy. Always conduct your own due diligence before making investment decisions. Use at your own risk.
Market conditions may shift rapidly, and past sector performance is not necessarily indicative of future outcomes. This tool is best used as part of a broader analytical framework, not in isolation.
Protected script: source code is hidden to preserve logic integrity and prevent tampering.
If you need clarification or encounter unexpected behavior with data feeds, please check the TradingView Help Center or post in the "Indicators and Strategies" section of the TradingView community.
Up/Down Volume with Table (High Contrast)Up/Down Volume with Table (High Contrast) — Script Summary & User Guide
Purpose of the Script
This TradingView indicator, Up/Down Volume with Table (High Contrast), visually separates and quantifies up-volume and down-volume for each bar, providing both a color-coded histogram and a dynamic table summarizing the last five bars. The indicator helps traders quickly assess buying and selling pressure, recent volume shifts, and their relationship to price changes, all in a highly readable format.
Key Features
Up/Down Volume Columns:
Green columns represent volume on bars where price closed higher than the previous bar (up volume).
Red columns represent volume on bars where price closed lower than the previous bar (down volume).
Delta Line:
Plots the net difference between up and down volume for each bar.
Green when up-volume exceeds down-volume; red when down-volume dominates.
Interactive Table:
Displays the last five bars, showing up-volume, down-volume, delta, and close price.
Color-coding for quick interpretation.
Table position, decimal places, and timeframe are all user-configurable.
Custom Timeframe Support:
Calculate all values on the chart’s timeframe or a custom timeframe of your choice (e.g., daily, hourly).
High-Contrast Design:
Table and plot colors are chosen for maximum clarity and accessibility.
User Inputs & Configuration
Use custom timeframe:
Toggle between the chart’s timeframe and a user-specified timeframe.
Custom timeframe:
Set the timeframe for calculations if custom mode is enabled (e.g., "D" for daily, "60" for 60 minutes).
Decimal Places:
Choose how many decimal places to display in the table.
Table Location:
Select where the table appears on your chart (e.g., Bottom Right, Top Left, etc.).
How to Use
Add the Script to Your Chart:
Copy and paste the code into a new Pine Script indicator on TradingView.
Add the indicator to your chart.
Configure Inputs:
Open the indicator settings.
Adjust the timeframe, decimal places, and table location as desired.
Read the Table:
The table appears on your chart (location is user-selectable) and displays the following for the last five bars:
Bar: "Now" for the current bar, then "Bar -1", "Bar -2", etc. for previous bars.
Up Vol: Volume on bars where price closed higher than previous bar, shown in black text.
Down Vol: Volume on bars where price closed lower than previous bar, shown in black text.
Delta: Up Vol minus Down Vol, colored green for positive, red for negative, black for zero.
Close: Closing price for each bar, colored green if price increased from previous bar, red if decreased, black if unchanged.
Interpret the Histogram and Lines:
Green Columns:
Represent up-volume. Tall columns indicate strong buying volume.
Red Columns:
Represent down-volume. Tall columns indicate strong selling volume.
Delta Line:
Plotted as a line (not a column), colored green for positive values (more up-volume), red for negative (more down-volume).
Large positive or negative spikes may indicate strong buying or selling pressure, respectively.
How to Interpret the Table
Column Meaning Color Coding
Bar "Now" (current bar), "Bar -1" (previous bar), etc. Black text
Up Vol Volume for bars with higher closes than previous bar Black text
Down Vol Volume for bars with lower closes than previous bar Black text
Delta Up Vol - Down Vol. Green if positive, red if negative, black if zero Green/Red/Black
Close Closing price for the bar. Green if price increased, red if decreased, black if unchanged Green/Red/Black
Green Delta: Indicates net buying pressure for that bar.
Red Delta: Indicates net selling pressure for that bar.
Close Price Color:
Green: Price increased from previous bar.
Red: Price decreased.
Black: No change.
Practical Trading Insights
Consistently Green Delta (Histogram & Table):
Sustained buying pressure; may indicate bullish sentiment or accumulation.
Consistently Red Delta:
Sustained selling pressure; may indicate bearish sentiment or distribution.
Large Up/Down Volume Spikes:
Big green or red columns can signal strong market activity or potential reversals if they occur at trend extremes.
Delta Flipping Colors:
Rapid alternation between green and red deltas may indicate a choppy or indecisive market.
Close Price Color in Table:
Use as a quick confirmation of whether volume surges are pushing price in the expected direction.
Troubleshooting & Notes
No Volume Data Error:
If your symbol doesn’t provide volume data (e.g., some indices or synthetic assets), the script will display an error.
Custom Timeframe:
If using a custom timeframe, ensure your chart supports it and that there is enough data for meaningful calculations.
High-Contrast Table:
Designed for clarity and accessibility, but you can adjust colors in the code if needed for your personal preferences.
Summary Table Legend
Bar Up Vol Down Vol Delta Close
Now ... ... ... ...
Bar-1 ... ... ... ...
... ... ... ... ...
Colors reflect the meaning as described above.
In Summary
This indicator visually and numerically breaks down buying and selling volume, helping you spot shifts in market sentiment, volume surges, and price/volume divergences at a glance.
Use the table for precise recent data, the histogram for overall flow, and the color cues for instant market context.
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Stock-Specific SMA200 Volatility NormalizedIt is used for swing treding it is shows for 0 to 100 range for every stock
Price Action Scalper Version 5.0Price Action Scalper for Crypto Futures. Based on ATR and Volume Spikes. Uses Trailing SL and TP to lock in profits as the price moves.
No Nonsense Forex Moving Averages ATR Bands[T1][T69]🔍 Overview
This indicator implements a No Nonsense Forex-style Baseline combined with ATR Bands, built using the moving_averages_library by Teyo69. It plots a configurable moving average and dynamically adjusts upper/lower ATR bands for trade zone detection and baseline confirmation.
✨ Features
30+ Moving Average types
ATR bands to define dynamic trade zones
Visual background highlighting for trade signals
Supports both "Within Range" and "Baseline Bias" display modes
Clean, minimal overlay with effective zone coloring
⚙️ How to Use
Choose MA Type: Select the baseline logic (SMA, EMA, HMA, etc.)
Configure ATR Bands: Adjust the ATR length and multiplier
Select Background Mode:
Within Range: Yellow = price inside band, Gray = outside
Long/Short Baseline Signal: Green = price above baseline, Red = below
Trade Setup:
Use the baseline for trend direction
Wait for confirmation or avoidance when price is outside the band
🛠 Configuration
Source: Price source for MA
MA Type: Any supported MA from the library
MA Length: Number of bars for smoothing
ATR Length: Period for Average True Range
ATR Multiplier: Width of the bands
Background Signal Mode: Choose visual signal type
⚠️ Limitations
Works with one MA at a time
Requires the moving_averages_library imported
Does not include confirmation or exit logic — use with full NNFX stack
💡 Tips
Combine with Volume or Confirmation indicators for NNFX strategy
Use adaptive MAs like KAMA, JMA, or VIDYA for dynamic baselines
Adjust ATR settings based on asset volatility
📘 Credits
Library: Teyo69/moving_averages_library/1
Inspired by: No Nonsense Forex (VP) Baseline + ATR Band methodology & MigthyZinger
PRO Investing - Quant AlphaCentauri D |XLF|PRO Investing - Quant AlphaCentauri D |XLF|
1. Summary and Core Concept
This is a quantitative backtesting strategy engineered specifically for the Financial Select Sector SPDR Fund (XLF) on the Daily (1D) timeframe. The name "AlphaCentauri" reflects its goal: to seek alpha by identifying statistically significant opportunities through rigorous time series analysis.
The strategy's core principle is to move beyond conventional technical indicators and instead analyze the underlying structure and character of price data. It is designed to methodically identify conditions that have historically preceded sustained directional trends in the financial sector.
2. The Analytical Process: How It Works
This strategy employs a multi-stage quantitative process to filter for high-probability setups. It is a "mashup" of statistical concepts applied to price action.
Structural Pattern Recognition: The engine's primary function is to analyze the historical price series of XLF to identify specific, recurring structural patterns. It examines price geometry and cyclical behavior to find formations that often act as the foundation for a new, emerging trend.
Signal Execution: A signal to enter a trade is only generated when the findings from both the structural analysis and the validation stages are in agreement. This disciplined, multi-layered approach ensures the strategy remains flat during periods of high uncertainty and only engages when its quantitative criteria are fully met.
3. How to Use This Strategy
Timeframe: This strategy has been designed, tested, and optimized exclusively for the Daily (1D) timeframe on the XLF ticker. Its logic is not intended for other timeframes or assets and may produce unreliable results if used differently.
On-Chart Signals: The strategy's operation is transparent. It plots all historical buy and sell entries, along with their corresponding exits, directly on the chart for easy performance review and analysis.
4. Risk Management: The Strategy's Foundation
This strategy is built upon a foundation of strict, non-negotiable risk management, which is reflected in its code and backtesting parameters. This design complies with TradingView's guidelines for publishing realistic and responsible strategies.
Dynamic Stop-Loss and Position Sizing: A stop-loss is dynamically calculated for each trade based on recent market volatility. The strategy then automatically adjusts the position size for that trade to target a defined risk percentage. In cases of extreme market volatility, the maximum potential loss on a single trade may approach, but is designed not to exceed, 5% of total account equity. Under normal market conditions, the risk for most trades will be below this maximum threshold.
Realistic Backtesting Parameters:
Initial Capital: The backtest defaults to an initial capital of $100,000.
Commission: A realistic fee of $5.00 per order is included to simulate broker costs.
5. Disclaimer
This strategy is an educational tool provided for informational and research purposes. It is not financial advice. All trading carries a high level of risk, and past performance is not a guarantee of future results. You are solely responsible for your own trading decisions and risk management. Always conduct your own due diligence before deploying any trading strategy in a live account.
signBTC Day&Session BoxesThis indicator visually segments the trading week on your chart, drawing each day from 17:00 to 17:00 New York time (corresponding to the typical forex daily rollover). For enhanced session structure, every day is further divided into three major trading sessions:
Asian Session
London Session
New York Session
Additionally, the indicator automatically marks the opening time of each new day at 17:00 (New York time) directly on the chart, helping traders quickly identify daily cycles and session transitions.
Customization Features
Adjustable Session Times: Users can modify the start and end times for each session (Asian, London, New York) to match personal or institutional trading hours.
Flexible Day Boundaries: The time marking the start and end of each day (default: 17:00 NY) can also be adjusted according to preference or asset specifics.
Opening Time Marker: The feature for drawing the daily opening time can be enabled or disabled in the settings.
This tool is ideal for traders needing clear visual cues for session boundaries and daily market resets, especially those operating across multiple time zones or managing strategies dependent on session-specific behavior. All settings are conveniently accessible and fully customizable within the indicator’s parameter panel.
QT Separator by BailaSimple and Clean QT indicator.
Helps to spot SSMT
Based on: Daye Quarterly Theory by toodegrees
These Quarters represent:
A - Accumulation (required for a cycle to occur)
M - Manipulation
D - Distribution
X - Reversal/Continuation
The Visualized Trader (Fractal Timeframe)The **The Visualized Trader (Fractal Timeframe)** indicator for TradingView is a tool designed to help traders identify strong bullish or bearish trends by analyzing multiple technical indicators across two timeframes: the current chart timeframe and a user-selected higher timeframe. It visually displays trend alignment through arrows on the chart and a condition table in the top-right corner, making it easy to see when conditions align for potential trade opportunities.
### Key Features
1. **Multi-Indicator Analysis**: Combines five technical conditions to confirm trend direction:
- **Trend**: Based on the slope of the 50-period Simple Moving Average (SMA). Upward slope indicates bullish, downward indicates bearish.
- **Stochastic (Stoch)**: Uses Stochastic Oscillator (5, 3, 2) to measure momentum. Rising values suggest bullish momentum, falling values suggest bearish.
- **Momentum (Mom)**: Derived from the MACD fast line (5, 20, 30). Rising MACD line indicates bullish momentum, falling indicates bearish.
- **Dad**: Uses the MACD signal line. Rising signal line is bullish, falling is bearish.
- **Price Change (PC)**: Compares the current close to the previous close. Higher close is bullish, lower is bearish.
2. **Dual Timeframe Comparison**:
- Calculates the same five conditions on both the current timeframe and a user-selected higher timeframe (e.g., daily).
- Helps traders see if the trend on the higher timeframe aligns with the current chart, providing context for stronger trade decisions.
3. **Visual Signals**:
- **Arrows on Chart**:
- **Current Timeframe**: Blue upward arrows below bars for bullish alignment, red downward arrows above bars for bearish alignment.
- **Higher Timeframe**: Green upward triangles below bars for bullish alignment, orange downward triangles above bars for bearish alignment.
- Arrows appear only when all five conditions align (all bullish or all bearish), indicating strong trend potential.
4. **Condition Table**:
- Displays a table in the top-right corner with two rows:
- **Top Row**: Current timeframe conditions (Trend, Stoch, Mom, Dad, PC).
- **Bottom Row**: Higher timeframe conditions (labeled with "HTF").
- Each cell is color-coded: green for bullish, red for bearish.
- The table can be toggled on/off via input settings.
5. **User Input**:
- **Show Condition Boxes**: Toggle the table display (default: on).
- **Comparison Timeframe**: Choose the higher timeframe (e.g., "D" for daily, default setting).
### How It Works
- The indicator evaluates the five conditions on both timeframes.
- When all conditions are bullish (or bearish) on a given timeframe, it plots an arrow/triangle to signal a strong trend.
- The condition table provides a quick visual summary, allowing traders to compare the current and higher timeframe trends at a glance.
### Use Case
- **Purpose**: Helps traders confirm strong trend entries by ensuring multiple indicators align across two timeframes.
- **Example**: If you're trading on a 1-hour chart and see blue arrows with all green cells in the current timeframe row, plus green cells in the higher timeframe (e.g., daily) row, it suggests a strong bullish trend supported by both timeframes.
- **Benefit**: Reduces noise by focusing on aligned signals, helping traders avoid weak or conflicting setups.
### Settings
- Access the indicator settings in TradingView to:
- Enable/disable the condition table.
- Select a higher timeframe (e.g., 4H, D, W) for comparison.
### Notes
- Best used in trending markets; may produce fewer signals in choppy conditions.
- Combine with other analysis (e.g., support/resistance) for better decision-making.
- The higher timeframe signals (triangles) provide context, so prioritize trades where both timeframes align.
This indicator simplifies complex trend analysis into clear visual cues, making it ideal for traders seeking confirmation of strong momentum moves.
God's Plan 7.2 - FVGP EnhancedThis is a buy/sell indicator containing the code for the Top Bottom indicator, VWAP and 9 EMA.
Buy conditions are Top Bottom buy and 9 EMA crossing above the VWAP.
Sell conditions are Top Bottom sell and 9 EMA crossing below the VWAP.
C signals indicate continuations.
Zero TOD constraints.
This is a simple strategy to help train the eye to recognize trend shifts and potential entries.
It is important for the users of this strategy to use their own logic when determining stop loss and targets.
Thank you to all of the coders and creators that have provided us with inspiration for this strategy. Happy trading!
xGhozt Stoch RSI StrategyA Stochastic RSI-based strategy that enters long or short when the K line exits extreme zones. Includes optional ATR-based stop loss and take profit levels. Supports both trend-following and reversal logic. Fully configurable.
EMA Crossover Candle ColorEMA Crossover ( whenever the 21 and 8 crossthe candle changes a different color to whatever you prefer.
xGhozt Stoch RSI StatsQuantify Stochastic RSI behavior with this unique analytical tool. It measures the average number of candles and total occurrences your chosen Stochastic RSI spends within its overbought and oversold zones. All historical data is presented in a clean, customizable table directly on your chart, helping you understand the typical persistence and frequency of extreme conditions to sharpen your market analysis.
QTR Sector Fund Performance vs SPY - by LMAnalyzes various market sectors and compares the last several quarters to the performance of the SPY. The goal is to seek out the sectors that have underperformed for several quarters in the hopes that they would overperform in the next quarter.