Daily Range % with Conditional SPX DirectionThis indicator visualizes the short-term market sentiment by combining the trend of the S&P 500 index (SPX) with daily price volatility (DP%).
Key Features:
Calculates a 5-period Exponential Moving Average (EMA) of SPX to detect trend direction:
Rising EMA → Uptrend
Falling EMA → Downtrend
Calculates a 5-period Simple Moving Average (SMA) of Daily Price Range % (DP%) to assess volatility trend:
Rising DP% → Increasing volatility
Falling DP% → Decreasing volatility
Background Colors:
Green: SPX trend up & volatility down → Bullish
Yellow:
SPX trend up & volatility up, or
SPX trend down & volatility down → Neutral
Red: SPX trend down & volatility up → Bearish
On-screen Labels:
Displays SPX trend direction (⬆️ / ⬇️)
Displays volatility direction (⬆️ / ⬇️)
Displays overall market sentiment: Bullish / Neutral / Bearish
This tool is designed to help traders quickly assess the relationship between trend and volatility, aiding in market environment analysis and discretionary trading decisions.
Cycles
Automated Trading Session: New York KillzoneAutomated Trading Session: New York Killzone (Timezone & DST Aware)
This indicator tracks the New York Killzone session using intraday data and real-time timezone adjustments. It draws high/low boxes after the session ends and highlights the active session on your chart, making it ideal for traders focused on U.S. market volatility.
Key Features
Timezone & DST Support
Accurately reflects session timing based on your selected timezone and daylight saving settings.
Custom Session Input
Set your preferred New York Killzone hours (default: 08:00–09:30 New York time).
Visual Session Boxes
High/low ranges of the session are boxed on the chart for quick reference.
End-of-Session Alert
Get notified when the session closes, supporting both manual and automated workflows.
On-Chart Info Table
Displays active session time and timezone directly on the chart.
Automated Trading Session: London KillzoneAutomated Trading Session: London Killzone (Timezone & DST Aware)
This indicator automatically tracks the London Killzone session using intraday data and real-time timezone adjustments. Designed for traders who use session-based strategies, it draws the high/low box of the session and highlights it visually on the chart.
Key Features
Timezone & DST Support
Automatically adjusts to your selected timezone, accounting for daylight saving time changes to ensure accurate session timing.
Custom Session Input
Allows you to define the start and end time of the London Killzone to suit your trading style.
Visual Session Boxes
Draws a dynamic box marking the session's high and low after it ends, with optional background coloring and session labeling.
Alert Trigger
Built-in alert condition that notifies you when the session ends—helpful for automation or manual review.
Info Table Overlay
Displays the active session time and timezone directly on the chart for quick reference.
Suggested Use
This tool is useful for identifying significant market ranges formed during the London Killzone, which is often associated with institutional activity and early market volatility.
TTM Squeeze Overlay (Wave A/B/C Visible)This script overlays three MACD-based wave structures directly on the price chart — giving you a clear, time-based view of market momentum without needing a sub-panel.
🔴 Wave A (Short-Term) – fast reactions, shows immediate price pressure
⚫ Wave B (Mid-Term) – smoother movements, ideal for swing context
🔵 Wave C (Long-Term) – area-style macro trend overlay
All waves are dynamically scaled and centered around price action, so you don’t need to manually stretch or shift anything.
Built for traders who want trend clarity at a glance — right where it matters.
TTM Squeeze Overlay (Wave A/B/C Visible)This script overlays three MACD-based wave structures directly on the price chart — giving you a clear, time-based view of market momentum without needing a sub-panel.
🔴 Wave A (Short-Term) – fast reactions, shows immediate price pressure
⚫ Wave B (Mid-Term) – smoother movements, ideal for swing context
🔵 Wave C (Long-Term) – area-style macro trend overlay
All waves are dynamically scaled and centered around price action, so you don’t need to manually stretch or shift anything.
Built for traders who want trend clarity at a glance — right where it matters.
Whale Zones (Accumulation & Distribution)Zone d'accumulation - Défendue / Zone de Distribution - Zone d'achat impulsive
TTM Squeeze Overlay (Wave A/B/C Visible)This indicator shows three different cycle wave energy ( long, short and now )
Sessioni di Trading - Londra & New YorkIndicator for mechanics 3.0 marking the London and New York sessions with vertical dotted lines
Sessioni di Trading - Londra & New YorkMarks the London and New York trading sessions with vertical colored lines (Mechanics 3.0)
Volatility Gaussian Bands [BigBeluga]The Volatility Gaussian Bands are a technical analysis tool used to assess market volatility and potential price movements. They are constructed by integrating Gaussian (normal) distribution principles with volatility measures to create dynamic bands around price data.
Key Features of Volatility Gaussian Bands:
Basis in Gaussian Distribution:
These bands assume that price returns follow a normal distribution, allowing for probabilistic modeling of expected price ranges.
Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders:
Visualize which months historically perform best and worst for Bitcoin.
Track average returns and win rates for each month of the year.
Identify seasonal patterns to enhance trading strategies.
Compare cumulative or individual monthly performance.
🔶 CALCULATION
The indicator processes historical Bitcoin price data to calculate monthly performance metrics
Monthly Return Calculation
Inputs:
Monthly open and close prices.
User-defined lookback period (1-15 years).
Return Types:
Percentage: (monthEndPrice / monthStartPrice - 1) × 100
Price: monthEndPrice - monthStartPrice
Statistical Measures
Monthly Averages: ◦ Average return for each month calculated from historical data.
Win Rate: ◦ Percentage of positive returns for each month.
Best/Worst Detection: ◦ Identifies months with highest and lowest average returns.
Cumulative Option
Standard View: Shows discrete monthly performance.
Cumulative View: Shows compounding effect of consecutive months.
Example Calculation (Pine Script):
monthReturn = returnType == "Percentage" ?
(monthEndPrice / monthStartPrice - 1) * 100 :
monthEndPrice - monthStartPrice
calcWinRate(arr) =>
winCount = 0
totalCount = array.size(arr)
if totalCount > 0
for i = 0 to totalCount - 1
if array.get(arr, i) > 0
winCount += 1
(winCount / totalCount) * 100
else
0.0
🔶 DETAILS
Visual Features
Monthly Performance Bars: ◦ Color-coded bars (teal for positive, red for negative returns). ◦ Special highlighting for best (yellow) and worst (fuchsia) months.
Optional Trend Line: ◦ Shows continuous performance across months.
Monthly Axis Labels: ◦ Clear month names for easy reference.
Statistics Table: ◦ Comprehensive view of monthly performance metrics. ◦ Color-coded rows based on performance.
Interpretation
Strong Positive Months: Historically bullish periods for Bitcoin.
Strong Negative Months: Historically bearish periods for Bitcoin.
Win Rate Analysis: Higher win rates indicate more consistently positive months.
Pattern Recognition: Identify recurring seasonal patterns across years.
Best/Worst Identification: Quickly spot the historically strongest and weakest months.
🔶 EXAMPLES
The indicator helps identify key seasonal patterns
Bullish Seasons: Visualize historically strong months where Bitcoin tends to perform well, allowing traders to align long positions with favorable seasonality.
Bearish Seasons: Identify historically weak months where Bitcoin tends to underperform, helping traders avoid unfavorable periods or consider short positions.
Seasonal Strategy Development: Create trading strategies that capitalize on recurring monthly patterns, such as entering positions in historically strong months and reducing exposure during weak months.
Year-to-Year Comparison: Assess how current year performance compares to historical seasonal patterns to identify anomalies or confirmation of trends.
🔶 SETTINGS
Customization Options
Lookback Period: Adjust the number of years (1-15) used for historical analysis.
Return Type: Choose between percentage returns or absolute price changes.
Cumulative Option: Toggle between discrete monthly performance or cumulative effect.
Visual Style Options: Bar Display: Enable/disable and customize colors for positive/negative bars, Line Display: Enable/disable and customize colors for trend line, Axes Display: Show/hide reference axes.
Visual Enhancement: Best/Worst Month Highlighting: Toggle special highlighting of extreme months, Custom highlight colors for best and worst performing months.
The Bitcoin Monthly Seasonality indicator provides traders with valuable insights into Bitcoin's historical performance patterns throughout the year, helping to identify potentially favorable and unfavorable trading periods based on seasonal tendencies.
INTELLECT_city - Bitcoin Genesis Block DayBitcoin Genesis Block Day is celebrated on January 3 each year, commemorating the creation of the first block in the Bitcoin blockchain, known as the genesis block, by Satoshi Nakamoto on January 3, 2009. This block, block 0, marked the official launch of the Bitcoin network, embedding a message in its coinbase transaction: "The Times 03/Jan/2009 Chancellor on brink of second bailout for banks," referencing a headline from The Times newspaper. This message highlighted Bitcoin’s purpose as a decentralized alternative to centralized financial systems amid the 2008 financial crisis.
The genesis block is unique because it’s hardcoded into the Bitcoin protocol and cannot be spent, containing 50 BTC that remain unspendable. It established the foundation for Bitcoin’s blockchain, with subsequent blocks building upon it through cryptographic hashing. The day symbolizes the birth of cryptocurrency and is celebrated by the crypto community as a milestone in financial and technological innovation.
INTELLECT_city - Bitcoin Whitepaper DayBitcoin Whitepaper Day is celebrated on October 31 each year, marking the anniversary of the publication of the Bitcoin whitepaper by Satoshi Nakamoto in 2008. Titled "Bitcoin: A Peer-to-Peer Electronic Cash System," the nine-page document introduced the concept of a decentralized digital currency that operates without intermediaries like banks, using a peer-to-peer network, blockchain technology, and proof-of-work to solve the double-spending problem.
Published on a cryptography mailing list during the 2008 financial crisis, the whitepaper laid the foundation for Bitcoin and the broader cryptocurrency ecosystem, influencing innovations like Ethereum, decentralized finance (DeFi), and NFTs. It’s a day celebrated by the crypto community to honor the revolutionary ideas that sparked a new era of financial sovereignty and technological innovation. Some note the symbolic connection to October 31, also Reformation Day, suggesting Nakamoto chose it to signify a break from centralized financial systems, though this is speculative.
INTELLECT_city - Quarters - Q1-Q2-Q3-Q4Quarters - Q1-Q2-Q3-Q4
Quarter dates.
Sometimes it is useful to find patterns when a quarter ends.
INTELLECT_city - New Year Chinese (Chine)Time of dates.
Sometimes you need to look at the years to find some patterns, especially on Chinese New Year.
INTELLECT_city - New YearsTime of dates.
Sometimes you need to look at the years to find some patterns.
--------------
Время дат.
Иногда нужно смотреть на года что бы находить какие то паттерны.
Macro Time Block 15mIndicator zeigt die Macrozeit 15 Minuten vor und 15 Minuten nach voller Stunde an.
Macro Time Block (15m przed i po)Indicator zeigt die Macrozeit 15 Minuten vor und 15 minuten nach voller Stunde.
ICT Macro and Daye QT ShiftEST Vertical Lines - Auto DST Adjustment
Overview
This indicator draws customizable vertical lines at specific Eastern Time (EST/EDT) points throughout the trading day, automatically adjusting for daylight savings time. Designed for precision trading on 1-minute and 5-minute charts, it highlights key intraday moments when price action tends to accelerate.
Features
- **18 pre-configured NY session times** (09:50-15:45 ET)
- **Auto timezone conversion** - Always shows correct EST/EDT regardless of your local timezone
- **3 line styles** - Choose between solid/dashed/dotted lines
- **Clean labeling** - Optional time markers above each line
- **1m/5m optimized** - Perfect for scalpers and day traders
- **Visual alerts** - "TOUCH" labels when price interacts with lines
Inputs
| Parameter | Description | Default |
|-----------|-------------|---------|
| Line Times | Comma-separated HH:MM times | 09:50,10:10,...15:45 |
| Line Color | Line color | Black |
| Line Width | 1-5px thickness | 2 |
| Line Style | Solid/Dashed/Dotted | Solid |
| Show Labels | Display time markers | true |
How To Use
1. Apply to 1m or 5m charts
2. Lines appear automatically at specified EST times
3. Watch for price reactions at these key levels
4. Customize styles via indicator settings
Ideal For
- NY open/London close traders
- Earnings/News traders
- Breakout traders
- Market open/close strategies
Updates
v1.1 - Added line style customization
v1.0 - Initial release
Central Bank Assets YoY % with StdDev BandsCentral Bank Assets YoY % with StdDev Bands - Indicator Documentation
Overview
This indicator tracks the year-over-year (YoY) percentage change in combined central bank assets using a custom formula. It displays the annual growth rate along with statistical bands showing when the growth is significantly above or below historical norms.
Formula Components
The indicator is based on a custom symbol combining multiple central bank balance sheets:
Federal Reserve balance sheet (FRED)
Bank of Japan assets converted to USD (FX_IDC*FRED)
European Central Bank assets converted to USD (FX_IDC*FRED)
Subtracting Fed reverse repo operations (FRED)
Subtracting Treasury General Account (FRED)
Calculations
Year-over-Year Percentage Change: Calculates the percentage change between the current value and the value from exactly one year ago (252 trading days).
Formula: ((current - year_ago) / year_ago) * 100
Statistical Measures:
Mean (Average): The 252-day simple moving average of the YoY percentage changes
Standard Deviation: The 252-day standard deviation of YoY percentage changes
Display Components
The indicator displays:
Main Line: YoY percentage change (green when positive, red when negative)
Zero Line: Reference line at 0% (gray dashed)
Mean Line: Average YoY change over the past 252 days (blue)
Standard Deviation Bands: Shows +/- 1 standard deviation from the mean
Upper band (+1 StdDev): Green, line with breaks style
Lower band (-1 StdDev): Red, line with breaks style
Interpretation
Values above zero indicate YoY growth in central bank assets
Values below zero indicate YoY contraction
Values above the +1 StdDev line indicate unusually strong growth
Values below the -1 StdDev line indicate unusually severe contraction
Crossing above/below the mean line can signal shifts in central bank policy trends
Usage
This indicator is useful for:
Monitoring global central bank liquidity trends
Identifying unusual periods of balance sheet expansion/contraction
Analyzing correlations between central bank activity and market performance
Anticipating potential market impacts from changes in central bank policy
The 252-day lookback period (approximately one trading year) provides a balance between statistical stability and responsiveness to changing trends in central bank behavior.
MA Trendline with Angle LockThis indicator is just white line in screenshot (and will show the MA it is using).... This grabs the slope of the MA and makes a trendline out of it until the angle changes by x percentage then it recalculates. Mimics what a 2x sma envelope does to a smaller sma envelope... carves out the impulses just with straight rather than curved edges if that makes sense. Envelopes are shown as an example.
CUSTOM PRO RANGE V2.0 with AlertsCore Functions
Tracks High/Low Ranges
Daily (DR) or Initial (IDR) ranges within custom time windows (e.g., 9:30 AM–4:00 PM).
Optional extended hours (e.g., overnight).
Visual Tools
Draws boxes/lines for range boundaries, midpoints, and opening prices.
Custom colors/styles for clarity.
Smart Alerts
Notifies when price breaks high/low/mid of the range.
Avoids spam with once-per-bar alerts.
Flexible Timeframes
Works for intraday, daily, or even quarterly ranges with minor tweaks.
🎯 Who It Helps
Day Traders: Spot breakouts/reversals.
Swing Traders: Identify key support/resistance.
Analysts: Study price behavior in specific sessions.
Sine Swing OscillatorThe Sine Swing Oscillator (SSO) is a custom momentum indicator that transforms price movement into a sine-based oscillator ranging from -1 to +1. It does this by measuring the deviation of the current price from a reference price, which is updated at fixed bar intervals. The price deviation is normalized using the Average True Range (ATR) over the same interval, then mapped through a sine transformation to create a bounded oscillator. This transformation helps identify cyclical price behavior in a consistent range.
The resulting sine values are smoothed using a Simple Moving Average (SMA), and a signal line is derived by applying an Exponential Moving Average (EMA) to the smoothed oscillator. Traders can use signal line crossovers, or moves through the zero line, to help identify potential entry or exit signals based on cyclical momentum shifts.
The oscillator and signal line are plotted in a separate pane, with user-configurable smoothing lengths and colors. The zero line is also included for reference.