Date Marker GPTDate Marker GPT
By Jimmy Dimos (corrected by ChatGPT-o3)
Description
This overlay indicator automatically plots vertical lines at each weekly option-expiration timestamp (Friday at 3 PM CST) for both historical and upcoming periods, helping you visualize key expiration dates alongside your price action and regression tools. Shown is my Date Maker GPT vertical blue Lines, Linear Regression Channel(not part of my script) and zigzag++ also not part of my script.
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Key Features
• Past Expirations: Draws 12 past Friday markers at 3 PM CST
• Future Expirations: Projects 12 upcoming Friday markers at 3 PM CST
• Timezone Handling: Uses UTC internally (21:00 UTC = 3 PM CST)
• Customizable: num_fridays_past and num_fridays_future inputs let you adjust how many weeks to display
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How It Works
1. Timestamp Calculation
• Uses Pine Script’s dayofweek() and timestamp() functions to find each Friday at the target hour.
• Two helper functions, get_previous_friday() and get_next_friday(), compute offsets in days/weeks based on the current bar’s date.
2. Drawing Lines
• Loops through the specified number of weeks in the past and future.
• Calls line.new() for each expiration timestamp, extending lines across the entire chart.
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Usage Tips
• Overlay this script on any OHLC chart to see how price tends to cluster around option expirations.
• Combine with a linear regression or trend-channel indicator to anticipate likely trading ranges leading into expiration.
• Tweak the num_fridays_past and num_fridays_future parameters to focus on shorter or longer horizons.
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Disclaimer: This tool is provided for educational and analytical purposes only. It is not financial advice. Always conduct your own research and risk management.
Forecasting
Market to NAV Premium Arbitrage Alpha IndicatorBitcoin treasury companies such as Microstrategy are known for trading at significant premiums. but how big exactly is the premium? And how can we measure it in real time?
I developed this quantitative tool to identify statistical mispricings between market capitalization and net asset value (NAV), specifically designed for arbitrage strategies and alpha generation in Bitcoin-holding companies, such as MicroStrategy or Sharplink Gaming, or SPACs used primarily to hold cryptocurrencies, Bitcoin ETFs, and other NAV-based instruments. It can probably also be used in certain spin-offs.
KEY FEATURES:
✅ Real-time Premium/Discount Calculation
• Automatically retrieves market cap data from TradingView
• Calculates precise NAV based on underlying asset holdings (for example Bitcoin)
• Formula: (Market Cap - NAV) / NAV × 100
✅ Statistical Analysis
• Historical percentile rankings (customizable lookback period)
• Standard deviation bands (2σ) for extreme value detection (close to these values might be seen as interesting points to short or go long)
• Smoothing period to reduce noise
✅ Multi-Source Market Cap Detection
• You can add the ticker of the NAV asset, but if necessary, you can also put it manually. Priority system: TradingView data → Calculated → Manual override
✅ Advanced NAV Modeling
• Basic NAV: Asset holdings + cash.
• Adjusted NAV: Includes software business value, debt, preferred shares. If the company has a lot of this kind of intrinsic value, put it in the "cash" field
• Support for any underlying asset (BTC, ETH, etc.)
TRADING APPLICATIONS:
🎯 Pairs Trading Signals
• Long/Short opportunities when premium reaches statistical extremes
• Mean reversion strategies based on historical ranges
• Risk-adjusted position sizing using percentile ranks
🎯 Arbitrage Detection
• Identifies when market pricing significantly deviates from fair value
• Quantifies the magnitude of mispricing for profit potential
• Historical context for timing entry/exit points
CONFIGURATION OPTIONS:
• Underlying Asset: Any symbol (default: COINBASE:BTCUSD) NEEDS MANUAL INPUT
• Asset Quantity: Precise holdings amount (for example, how much BTC does the company currently hold). NEEDS MANUAL INPUT
• Cash Holdings: Additional liquid assets. NEEDS MANUAL INPUT
• Market Cap Mode: Auto-detect, calculated, or manual
• Advanced Adjustments: Business value, debt, preferred shares
• Display Settings: Lookback period, smoothing, custom colors
IT CAN BE USED BY:
• Quantitative traders focused on statistical arbitrage
• Institutional investors monitoring NAV-based instruments
• Bitcoin ETF and MSTR traders seeking alpha generation
• Risk managers tracking premium/discount exposures
• Academic researchers studying market efficiency (as you can see, markets are not efficient 😉)
KEY MARKET SESSION EU/US RANGE LEVELS - KLT🔹 KEY MARKET SESSION EU/US RANGE LEVELS - KLT
This indicator highlights critical trading levels during the European and U.S. sessions, with Overbought (OB) and Oversold (OS) markers derived from each session's price range.
It’s designed to support traders in identifying key zones of interest and historical price reactions across sessions.
✳️ Features
🕒 Session Recognition
European Session (EU): 08:00 to 14:00 UTC
United States Session (US): 14:30 to 21:00 UTC
The indicator automatically detects the current session and updates levels in real time.
📈 Overbought / Oversold (OB/OS) Levels
Helps identify potential reversal or reaction zones.
🔁 Previous Session OB/OS Crosses
OB/OS levels from the previous session are plotted as white crosses during the opposite session:
EU OB/OS shown during the US session
US OB/OS shown during the EU session
These levels act as potential price targets or reaction areas based on prior session behavior.
🎨 Session-Based Color Coding
EU Session
High/Low: Orange / Fuchsia
OB/OS: Orange / Lime
Previous OB/OS: White crosses during the US session
US Session
High/Low: Aqua / Teal
OB/OS: Aqua / Lime
Previous OB/OS: White crosses during the EU session
🧠 How to Use
Use the OB/OS levels to gauge potential turning points or extended moves.
Watch for previous session crosses to spot historically relevant zones that may attract price.
Monitor extended High/Low lines as potential magnets for price continuation.
🛠 Additional Notes
No repainting; levels are session-locked and tracked in real time.
Optimized for intraday strategies, scalping, and session-based planning.
Works best on assets with clear session behavior (e.g., forex, indices, major commodities).
Average Daily Range in TicksPurpose: The ADR Ticks Indicator calculates and displays the average daily price range of a financial instrument, expressed in ticks, over a user-specified number of days. It provides traders with a measure of average daily volatility, which can be used for position sizing, setting stop-loss/take-profit levels, or assessing market activity.
Calculation: Computes the average daily range by taking the difference between the daily high and low prices, averaging this range over a customizable number of days, and converting the result into ticks (using the instrument's minimum tick size).
Customization: Includes a user input to adjust the number of days for the average calculation and a toggle to show/hide the ADR Ticks value in the table.
Risk Management: Helps traders estimate typical daily price movement to set appropriate stop-loss or take-profit levels.
Market Analysis: Offers insight into average daily volatility, useful for day traders or swing traders assessing whether a market is trending or ranging.
Technical Notes:
The indicator uses barstate.islast to update the table only on the last bar, reducing computational load and preventing overlap.
The script handles different chart timeframes by pulling daily data via request.security, making it robust across various instruments and timeframes.
Share Size FinderEnter your target gain and return timeframe to calculate how many shares to buy and the price you’ll need to sell at to meet that goal.
The return timeframe is based on how many candles (based on the ATR) it may take to reach your exit price. I use 2 for scalping.
The table shows the total cost of buying that share amount at the current price—useful for managing account risk, especially for cash accounts or those under PDT rules.
A chart of the exit price is also included to help you compare with projections like Fibonacci extensions.
🌊 Reinhart-Rogoff Financial Instability Index (RR-FII)Overview
The Reinhart-Rogoff Financial Instability Index (RR-FII) is a multi-factor indicator that consolidates historical crisis patterns into a single risk score ranging from 0 to 100. Drawing from the extensive research in "This Time is Different: Eight Centuries of Financial Crises" by Carmen M. Reinhart and Kenneth S. Rogoff, the RR-FII translates nearly a millennium of crisis data into practical insights for financial markets.
What It Does
The RR-FII acts like a real-time financial weather forecast by tracking four key stress indicators that historically signal the build-up to major financial crises. Unlike traditional indicators based only on price, it takes a broader view, examining the global market's interconnected conditions to provide a holistic assessment of systemic risk.
The Four Crisis Components
- Capital Flow Stress (Default weight: 25%)
- Data analyzed: Volatility (ATR) and price movements of the selected asset.
- Detects abrupt volatility surges or sharp price falls, which often precede debt defaults due to sudden stops in capital inflow.
- Commodity Cycle (Default weight: 20%)
- Data analyzed: US crude oil prices (customizable).
- Watches for significant declines from recent highs, since commodity price troughs often signal looming crises in emerging markets.
- Currency Crisis (Default weight: 30%)
- Data analyzed: US Dollar Index (DXY, customizable).
- Flags if the currency depreciates by more than 15% in a year, aligning with historical criteria for currency crashes linked to defaults.
- Banking Sector Health (Default weight: 25%)
- Data analyzed: Performance of financial sector ETFs (e.g., XLF) relative to broad market benchmarks (SPY).
- Monitors for underperformance in the financial sector, a strong indicator of broader financial instability.
Risk Scale Interpretation
- 0-20: Safe – Low systemic risk, normal conditions.
- 20-40: Moderate – Some signs of stress, increased caution advised.
- 40-60: Elevated – Multiple risk factors, consider adjusting positions.
- 60-80: High – Significant probability of crisis, implement strong risk controls.
- 80-100: Critical – Several crisis indicators active, exercise maximum caution.
Visual Features
- The main risk line changes color with increasing risk.
- Background colors show different risk zones for quick reference.
- Option to view individual component scores.
- A real-time status table summarizes all component readings.
- Crisis event markers appear when thresholds are breached.
- Customizable alerts notify users of changing risk levels.
How to Use
- Apply as an overlay for broad risk management at the portfolio level.
- Adjust position sizes inversely to the crisis index score.
- Use high index readings as a warning to increase vigilance or reduce exposure.
- Set up alerts for changes in risk levels.
- Analyze using various timeframes; daily and weekly charts yield the best macro insights.
Customizable Settings
- Change the weighting of each crisis factor.
- Switch commodity, currency, banking sector, and benchmark symbols for customized views or regional focus.
- Adjust thresholds and visual settings to match individual risk preferences.
Academic Foundation
Rooted in rigorous analysis of 66 countries and 800 years of data, the RR-FII uses empirically validated relationships and thresholds to assess systemic risk. The indicator embodies key findings: financial crises often follow established patterns, different types of crises frequently coincide, and clear quantitative signals often precede major events.
Best Practices
- Use RR-FII as part of a comprehensive risk management strategy, not as a standalone trading signal.
- Combine with fundamental analysis for complete market insight.
- Monitor for differences between component readings and the overall index.
- Favor higher timeframes for a broader macro view.
- Adjust component importance to suit specific market interests.
Important Disclaimers
- RR-FII assesses risk using patterns from past crises but does not predict future events.
- Historical performance is not a guarantee of future results.
- Always employ proper risk management.
- Consider this tool as one element in a broader analytical toolkit.
- Even with high risk readings, markets may not react immediately.
Technical Requirements
- Compatible with Pine Script v6, suitable for all timeframes and symbols.
- Pulls data automatically for USOIL, DXY, XLF, and SPY.
- Operates without repainting, using only confirmed data.
The RR-FII condenses centuries of financial crisis knowledge into a modern risk management tool, equipping investors and traders with a deeper understanding of when systemic risks are most pronounced.
% / ATR Buy, Target, Stop + Overlay & P/L% / ATR Buy, Target, Stop + Overlay & P/L
This tool combines volatility‑based and fixed‑percentage trade planning into a single, on‑chart overlay—with built‑in profit‑and‑loss estimates. Toggle between ATR or percentage modes, plot your Buy, Target and Stop levels, and see the dollar gain or loss for a specified position size—all in one interactive table and chart display.
NOTE: To activate plotted lines, price labels, P/L rows and table values, enter a Buy Price greater than zero.
What It Does
Mode Toggle: Choose between “ATR” (volatility‑based) or “%” (fixed‑percentage) calculations.
Buy Price Input: Manually enter your entry price.
ATR Mode:
Target = Buy + (ATR × Target Multiplier)
Stop = Buy − (ATR × Stop Multiplier)
Percentage Mode:
Target = Buy × (1 + Target % / 100)
Stop = Buy × (1 – Stop % / 100)
P/L Estimates: Specify a dollar amount to “invest” at your Buy price, and the script calculates:
Gain ($): Profit if Target is hit
Loss ($): Cost if Stop is hit
Visual Overlay: Draws horizontal lines for Buy, Target and Stop, with optional price labels on the chart scale.
Interactive Table: Displays Buy, Target, Stop, ATR/timeframe info (in ATR mode), percentages (in % mode), and P/L rows.
Customization Options
Line Settings:
Choose color, style (solid/dashed/dotted), and width for Buy, Target, Stop lines.
Extend lines rightward only or in both directions.
Table Settings:
Position the table (top/bottom × left/right).
Toggle individual rows: Buy Price; Target (multiplier or %); Stop (multiplier or %); Target ATR %; Stop ATR %; ATR Time Frame; ATR Value; Gain ($); Loss ($).
Customize text colors for each row and background transparency.
General Inputs:
ATR length and optional ATR timeframe override (e.g. use daily ATR on an intraday chart).
Target/Stop multipliers or percentages.
Dollar Amount for P/L calculations.
How to Use It for Trading
Plan Your Entry: Enter your intended Buy Price and position size (dollar amount).
Select Mode: Toggle between ATR or % mode depending on whether you prefer volatility‑based or fixed offsets.
Assess R:R and P/L: Instantly see your Target, Stop levels, and potential profit or loss in dollars.
Visual Reference: Lines and price labels update in real time as you tweak inputs—ideal for live trading, backtesting or trade journaling.
Ideal For
Traders who want both volatility‑based and percentage‑based exit options in one tool
Those who need on‑chart P/L estimates based on position size
Swing and intraday traders focused on objective, rule‑based trade management
Anyone who uses ATR for adaptive stops/targets or fixed percentages for simpler exits
Log Return DistributionThis indicator calculates the statistical distribution of logarithmic returns over a user-defined lookback period and visualizes it as a horizontal profile anchored to the most recent opening price.
Lookback Length: The number of recent bars to include in the distribution analysis. A larger value (e.g., 252) provides a long-term statistical view, while a smaller value (e.g., 20) focuses on recent, short-term volatility.
Bins Count: The number of price levels to divide the distribution into. An odd number is recommended (e.g., 31, 51) to ensure a dedicated central line for the 0% return.
Max Line Length: The horizontal length (in bars) of the line representing the most frequent return bin (the mode). This setting scales the entire profile, allowing you to make differences in frequency more or less pronounced visually.
LANZ Strategy 6.0 [Backtest]🔷 LANZ Strategy 6.0 — Precision Backtesting Based on 09:00 NY Candle, Dynamic SL/TP, and Lot Size per Trade
LANZ Strategy 6.0 is the simulation version of the original LANZ 6.0 indicator. It executes a single LIMIT BUY order per day based on the 09:00 a.m. New York candle, using dynamic Stop Loss and Take Profit levels derived from the candle range. Position sizing is calculated automatically using capital, risk percentage, and pip value — allowing accurate trade simulation and performance tracking.
📌 This is a strategy script — It simulates real trades using strategy.entry() and strategy.exit() with full money management for risk-based backtesting.
🧠 Core Logic & Trade Conditions
🔹 BUY Signal Trigger:
At 09:00 a.m. NY (New York time), if:
The current candle is bullish (close > open)
→ A BUY order is placed at the candle’s close price (EP)
Only one signal is evaluated per day.
⚙️ Stop Loss / Take Profit Logic
SL can be:
Wick low (0%)
Or dynamically calculated using a % of the full candle range
TP is calculated using the user-defined Risk/Reward ratio (e.g., 1:4)
The TP and SL levels are passed to strategy.exit() for each trade simulation.
💰 Risk Management & Lot Size Calculation
Before placing the trade:
The system calculates pip distance from EP to SL
Computes the lot size based on:
Account capital
Risk % per trade
Pip value (auto or manual)
This ensures every trade uses consistent, scalable risk regardless of instrument.
🕒 Manual Close at 3:00 p.m. NY
If the trade is still open by 15:00 NY time, it will be closed using strategy.close().
The final result is the actual % gain/loss based on how far price moved relative to SL.
📊 Backtest Accuracy
One trade per day
LIMIT order at the candle close
SL and TP pre-defined at execution
No repainting
Session-restricted (only runs on 1H timeframe)
✅ Ideal For:
Traders who want to backtest a clean and simple daily entry system
Strategy developers seeking reproducible, high-conviction trades
Users who prefer non-repainting, session-based simulations
👨💻 Credits:
💡 Developed by: LANZ
🧠 Logic & Money Management Engine: LANZ
📈 Designed for: 1H charts
🧪 Purpose: Accurate simulation of LANZ 6.0's NY Candle Entry system
TheDevashishratio-MomentumThis custom momentum indicator is inspired by Fibonacci principles but builds a unique sequence with steps of 0.5 (i.e., 0, 0.5, 1, 1.5, 2, ...). Instead of traditional Fibonacci numbers, each step functions as a dynamic lookback period for a momentum calculation. By cycling through these fractional steps, you capture a layered view of price momentum over varying intervals.
The "Fibonacci" Series Used
Sequence:
0, 0.5, 1, 1.5, 2, … up to a user-defined maximum
For trading indicators, lag values (lookback) must be integers, so each step is rounded to the nearest integer and duplicates are removed, resulting in lookbacks:
1, 2, 3, 4, ... N
Indicator Logic
For each selected lookback, the indicator calculates momentum as:
Momentum
n
=
close
−
close
Momentum
n
=close−close
Where:
close = current price
n = integer from your series of
You can combine these momenta for an averaged or weighted momentum profile, displaying the composite as an oscillator.
How To Use
Bullish: Oscillator above zero indicates positive composite momentum.
Bearish: Oscillator below zero indicates negative composite momentum.
Crosses: A cross from below to above zero may signal emerging bullish momentum, and vice versa.
Customization
Adjust max_step to control how many interval lags you want in your composite.
This oscillator averages across many short and mid-term momenta, reducing noise while still being sensitive to changes.
Summary
TheDevashishratio-Momentum offers a fresh momentum oscillator, blending a "Fibonacci-like" progression with technical analysis, and can be easily copy-pasted into TradingView to experiment and refine your edge.
For more on momentum indicator logic or how to use arrays and series in Pine Script, explore TradingView's official documentation and open-source scripts
Advanced Correlation Monitor📊 Advanced Correlation Monitor - Pine Script v6
🎯 What does this indicator do?
Monitors real-time correlations between 13 different asset pairs and alerts you when historically strong correlations break, indicating potential trading opportunities or changes in market dynamics.
🚀 Key Features
✨ Multi-Market Monitoring
7 Forex Pairs (GBPUSD/DXY, EURUSD/GBPUSD, etc.)
6 Index/Stock Pairs (SPY/S&P500, DAX/NASDAQ, TSLA/NVDA, etc.)
Fully configurable - change any pair from inputs
📈 Dual Correlation Analysis
Long Period (90 bars): Identifies historically strong correlations
Short Period (6 bars): Detects recent breakdowns
Pearson Correlation using Pine Script v6 native functions
🎨 Intuitive Visualization
Real-time table with 6 information columns
Color coding: Green (correlated), Red (broken), Gray (normal)
Visual states: 🟢 OK, 🔴 BROKEN, ⚫ NORMAL
🚨 Smart Alert System
Only alerts previously correlated pairs (>80% historical)
Detects breakdowns when short correlation <80%
Consolidated alert with all affected pairs
🛠️ Flexible Configuration
Adjustable Parameters:
📅 Periods: Long (30-500), Short (2-50)
🎯 Threshold: 50%-99% (default 80%)
🎨 Table: Configurable position and size
📊 Symbols: All pairs are configurable
Default Pairs:
FOREX: INDICES/STOCKS:
- GBPUSD vs DXY • SPY vs S&P500
- EURUSD vs GBPUSD • DAX vs S&P500
- EURUSD vs DXY • DAX vs NASDAQ
- USDCHF vs DXY • TSLA vs NVDA
- GBPUSD vs USDCHF • MSFT vs NVDA
- EURUSD vs USDCHF • AAPL vs NVDA
- EURUSD vs EURCAD
💡 Practical Use Cases
🔄 Pairs Trading
Detects when strong correlations break for:
Statistical arbitrage
Mean reversion trading
Divergence opportunities
🛡️ Risk Management
Identifies when "safe" assets start moving independently:
Portfolio diversification
Smart hedging
Regime change detection
📊 Market Analysis
Understand underlying market structure:
Forex/DXY correlations
Tech sector rotation
Regional market disconnection
🎓 Results Interpretation
Reading Example:
EURUSD vs DXY: -98.57% → -98.27% | 🟢 OK
└─ Perfect negative correlation maintained (EUR rises when DXY falls)
TSLA vs NVDA: 78.12% → 0% | ⚫ NORMAL
└─ Lost tech correlation (divergence opportunity)
Trading Signals:
🟢 → 🔴: Broken correlation = Possible opportunity
Large difference: Indicates correlation tension
Multiple breaks: Market regime change
PnL_EMA_TRACK12_PRO_3.3_full_adjusted# Multi-Ticker Support
Manage up to 12 tickers simultaneously.
- For each symbol, input share quantities, entry prices, and two optional additional entry points (E2, E3) with their own shares and offset percentages.
- Dynamic handling of inputs using arrays for easier maintenance and scalability.
# Average Cost and PnL Calculation
- Computes weighted average entry costs across all position parts (E1 and optionally E2 and E3).
- Calculates real-time Profit & Loss (PnL) both in USD and percentage relative to the current price.
- Color-coded values: green for profit, red for loss — for quick visual feedback.
# Moving Averages as Benchmarks
- Uses daily EMAs (10, 21, 65) and 15-minute SMA 200 as reference levels.
- Calculates percentage deviations of these moving averages from the average entry price.
- Calculates dollar differences based on the total shares held.
# Chart Visualization
- Draws a dashed yellow line for the average cost of each position.
- Optionally draws two additional lines and labels for E2 (blue) and E3 (purple) if activated.
- Lines extend to the right to emphasize current relevance.
- Labels can be positioned left or right, with customizable horizontal offset.
# Interactive Table in Chart
- Positions the info table in any chosen corner or center of the chart (top/right/left/middle, etc.).
- Displays symbol, PnL (dollar and percentage), and deviations to key EMAs and SMA.
- Colors PnL values according to profit or loss for instant clarity.
# User-Friendly Settings
- Flexible font size options for both the table and labels.
- Customizable colors for positive and negative values (default green/red).
- Choice of label position and X-axis offset to fit your chart style.
No Supply No Demand (NSND) – Volume Spread Analysis ToolThis indicator is designed for traders utilizing Volume Spread Analysis (VSA) techniques. It automatically detects potential No Demand (ND) and No Supply (NS) candles based on volume and price behavior, and confirms them using future price action within a user-defined number of lookahead bars.
Confirmed No Demand (ND): Detected when a bullish candle has volume lower than the previous two bars and is followed by weakness (next highs swept, close below).
Confirmed No Supply (NS): Detected when a bearish candle has volume lower than the previous two bars and is followed by strength (next lows swept, close above).
Adjustable lookahead bars parameter to control the confirmation window.
This tool helps identify potential distribution (ND) and accumulation (NS) areas, providing early signs of market turning points based on professional volume logic. The dot appears next to ND or NS.
PCR tableOverview
This indicator displays a multi-period table of forward-looking price projections. It combines normalized directional momentum (Positive Change Ratio, PCR) with volatility (ATR) and presents a forecast for upcoming time intervals, adjusted for your local UTC offset.
Concepts & Calculations
Positive Change Ratio (PCR):
((total positive change)/(total change)-0.5)*2, producing a value between –100 and +100.
Synthetic ATR: Calculates average true range over the same lookbacks to capture volatility.
PCR × ATR: Forms a volatility-weighted directional forecast, indicating expected move magnitude.
Future Price Projection: Adds PCR × ATR value to current close to estimate future price at each lookahead interval.
Table Layout
There are 12 forecast horizons—1× to 12× the chart timeframe (e.g., minutes, hours, days). Each row displays:
1. Future Time: Timestamp of each projection (adjustable via UTC offset)
2. PCR: Directional bias per period (–1 to +1)
3. PCR × ATR: E xpected move magnitude
4. Future Price: Close + (PCR × ATR)
High and low PCR×ATR rows are highlighted green for minimum value in the price forecast (buy signal) or red for maximum value in the price forecast (sell signal).
How to Use
1. Set UTC offset to your time zone for accurate future timestamps.
2. View PCR to assess bullish (positive) or bearish (negative) momentum.
3. Use PCR × ATR to estimate move strength and direction.
4. Reference Future Price for potential levels over upcoming intervals, and for buy and sell signals.
Limitations & Disclaimers
* This model uses linear extrapolation based on recent price behavior. It does not guarantee future prices.
* It uses only current bar data and no lookahead logic—compliant with Pine Script rules.
* Designed for analytical insight, not as an automated signal or trade executor.
* Best used on standard bar/candle charts (avoid non-standard types like Heikin‑Ashi or Renko).
Session HL + Candles + AMD (Nephew_Sam_)Session HL + Candles + AMD (Nephew_Sam_)
This indicator marks out intraday sessions summarized into single candles, with an additional option to mark out the HL of each session. Perfect for understanding AMD within a glance (accumulation-manipulation-distribution)
Features:
Session High/Low lines with customizable colors and labels
Optional session candles displayed on the right side of the chart
Timezone support for global traders
Customizable bull/bear candle colors
Works on timeframes up to 1 hour
Perfect for:
Identifying session liquidity levels
Tracking session ranges and breakouts
Multi-timeframe session analysis
ICT methodology traders
Settings:
Choose your timezone for accurate session detection
Toggle session candles and HL lines independently
Customize colors, line styles, and labels
Set maximum timeframe (up to 1 hour)
AI Breakout Bands (Zeiierman)█ Overview
AI Breakout Bands (Zeiierman) is an adaptive trend and breakout detection system that combines Kalman filtering with advanced K-Nearest Neighbor (KNN) smoothing. The result is a smart, self-adjusting band structure that adapts to dynamic market behavior, identifying breakout conditions with precision and visual clarity.
At its core, this indicator estimates price behavior using a two-dimensional Kalman filter (position + velocity), then enhances the smoothing process with a nonlinear, similarity-based KNN filter. This unique blend enables it to handle noisy markets and directional shifts with both speed and stability — providing breakout traders and trend followers a reliable framework to act on.
Whether you're identifying volatility expansions, capturing trend continuations, or spotting early breakout conditions, AI Breakout Bands gives you a mathematically grounded, visually adaptive roadmap of real-time market structure.
█ How It Works
⚪ Kalman Filter Engine
The Kalman filter models price movement as a state system with two components:
Position (price)
Velocity (trend direction)
It recursively updates predictions using real-time price as a noisy observation, balancing responsiveness with smoothness.
Process Noise (Position) controls sensitivity to sudden moves.
Process Noise (Velocity) controls smoothing of directional flow.
Measurement Noise (R) defines how much the filter "trusts" live price data.
This component alone creates a responsive yet stable estimate of the market’s center of gravity.
⚪ Advanced K-Neighbor Smoothing
After the Kalman estimate is computed, the script applies a custom K-Nearest Neighbor (KNN) smoother.
Rather than averaging raw values, this method:
Finds K most similar past Kalman values
Weighs them by similarity (inverse of absolute distance)
Produces a smoother that emphasizes structural similarity
This nonlinear approach gives the indicator an AI feature — reacting fast when needed, yet staying calm in consolidation.
█ How to Use
⚪ Trend Recognition
The line color shifts dynamically based on slope direction and breakout confirmation.
Bullish conditions: price above the mid band with positive slope
Bearish conditions: price below the mid band with negative slope
⚪ Breakout Signals
Price breaking above or below the bands may signal momentum acceleration.
Combine with your own volume or momentum confirmation for stronger entries.
Bands adapt to market noise, helping filter out low-quality whipsaws.
█ Settings
Process Noise (Position): Controls Kalman filter’s sensitivity to price changes.
Process Noise (Velocity): Controls smoothing of directional component.
Measurement Noise (R): Defines how much trust is placed in price data.
K-Neighbor Length: Number of historical Kalman values considered for smoothing.
Slope Calculation Window: Number of bars used to compute trend slope of the smoothed Kalman.
Band Lookback (MAE): Rolling period for average absolute error.
Band Multiplier: Multiplies MAE to determine band width.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Auto-Calculated Pivot Line/Zone (Based on Time Range)Automatically Calculated Pivot Line/Zone
Harness the power of precision with this Custom Time Range Average Line indicator—designed to pinpoint key equilibrium and pivot levels within consolidation zones after a breakout. Select any start and end time to capture the critical price action shaping the market structure between swings, and calculate the true average price using your choice of open, close, high, low, or midpoint.
Once the defined period concludes, the indicator freezes the average and extends it forward as a clear horizontal ray, acting as a powerful reference for fair value and market balance. This dynamic line shines brightest within consolidation phases, helping traders identify pivot points and equilibrium zones that often serve as magnets for price after a breakout.
Customize the line width to suit your style—use a thinner line width input for a precise single average line, or increase the width to visually represent a broader range or zone. Fully adjustable line color and thickness options ensure this tool integrates seamlessly into any chart setup.
Elevate your trading edge by visualizing the hidden balance points between market swings—turning consolidation chaos into clear, strategic opportunities!
Checklist Dashboard Table# Checklist Dashboard Table – ICT/SMC Trading Helper
Overview
The “Checklist Dashboard Table” is a TradingView indicator designed to help traders structure, organize, and validate their market analyses following the ICT/SMC (Inner Circle Trader / Smart Money Concepts) methodology. It provides a visual and interactive checklist directly on your chart, ensuring you never miss a crucial step in your decision-making process.
Key Features
- Visual Checklist : All your trading criteria are displayed as color-coded checkboxes (green for validated, red for not validated), making your analysis process both clear and efficient.
- Clear Separation Between Analysis and Confirmations :
- Analysis : Reminders for your routine, such as timeframe selection (M3 to H4), trend analysis via RSI, and identification of key zones (Midnight Open, SSL/BSL, Asian High/Low).
- Confirmations : Six customizable criteria to check off as you validate your setup (clear trend, OB + FVG, OTE zone, Premium/Discount, R/R > 1:2, CBDR/Midnight).
- Personal Notes Section : Keep your trade entries, observations, or comments in a dedicated field in the indicator’s settings. Your notes are displayed right in the checklist for quick reference and journaling.
- Elegant and Compact Display : The table is styled for readability and can be positioned anywhere on your chart.
- Quick Customization : Instantly update any criterion or your personal notes via the script settings.
How to Use
1. Add the indicator to your chart.
2. Review the “Analysis” section as your pre-trade routine reminder.
3. Check off the “Confirmations” criteria as you validate your entry strategy.
4. Write your trade notes or comments in the provided notes section.
5. Use the checklist to reinforce discipline and repeatability in your trading.
Why Use This Checklist?
- Prevents you from skipping important steps in your analysis.
- Reinforces trading discipline and consistency.
- Allows you to document and review your trade decisions for ongoing improvement.
Who Is It For?
Perfect for ICT/SMC traders, but also valuable for anyone looking to organize and systematize their trading process.
Happy trading!
Monthly Seasonality Trend [DunesIsland]The Monthly Seasonality Trend is a indicator designed to analyze and visualize historical monthly seasonality patterns in financial markets. By calculating the average monthly return over a user-configurable lookback period (1 to 10 years), this indicator provides traders and investors with a clear projection of potential price movements for the current month, enabling data-driven decision-making.
How It Works
The indicator operates by retrieving monthly open and close prices for the specified lookback period (up to 10 years) and computing the average percentage return for the current month based on historical data. Key functionalities include:
Dynamic Trend Line: On the first trading day of each month, the indicator plots a line projecting the expected price trajectory, starting from the current close price and extending to the estimated end-of-month price based on the average historical return. The line is colored green for anticipated price increases or red for expected declines, offering an intuitive visual cue.
Average Return Label: A label is displayed at the start of each month, detailing the calculated average historical return for that month, expressed as a percentage, to provide context for the projected trend.
First Trading Day Marker: A small circle is plotted below the bar on the first trading day of each month, clearly marking the start of the projection period.
Adaptive Bar Counting: The indicator dynamically adjusts the length of the trend line based on the actual number of trading days in the previous month, ensuring accurate projections.
How to Interpret
Bullish Projection (Green Line): Indicates that historical data suggests an average price increase for the current month, potentially signaling buying opportunities.
Bearish Projection (Red Line): Suggests an average price decline based on historical trends, which may prompt caution or short-selling strategies.
Historical Context: The average return label provides a quantitative measure of past performance, helping traders assess the reliability of the projected trend.
Institutional Sweep Zone (Range-Based)Institutional Sweep Zone (Range-Based)
This indicator models potential stop sweep zones based on institutional capital ranges, helping traders visualize where high-probability liquidity grabs are likely to occur.
Unlike traditional volatility bands, this tool estimates price movement by calculating how far a specific amount of capital—entered into the market—can push price. By defining a lower and upper capital range (in millions of USD), the indicator dynamically draws bands representing the distance institutions could realistically move price in either direction.
It supports directional control, allowing you to focus on long sweeps, short sweeps, or both simultaneously. The pip cost is auto-calibrated based on the selected currency pair, making it highly adaptive to major FX pairs.
Key Features:
-Capital input range (in millions of USD)
-Directional sweep targeting: Long, Short, or Both
-Auto-detection of pip value based on FX pair
-Visual sweep zone mapped above and below current price
-Designed to highlight areas of institutional stop hunts
Why use it?
-Helps avoid setting stops inside common sweep zones
-Improves trade survivability when paired with higher timeframe strategies
-Offers a unique way to view price through an institutional lens
Created by: The_Forex_Steward
Explore more advanced tools and concepts on my TradingView profile.
Golden Ratio Trend Persistence [EWT]Golden Ratio Trend Persistence
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Overview
The Golden Ratio Trend Persistence is a dynamic tool designed to identify the strength and persistence of market trends. It operates on a simple yet powerful premise: a trend is likely to continue as long as it doesn't retrace beyond the key Fibonacci golden ratio of 61.8%.
This indicator automatically identifies the most significant swing high or low and plots a single, dynamic line representing the 61.8% retracement level of the current move. This line acts as a "line in the sand" for the prevailing trend. The background color also changes to provide an immediate visual cue of the current market direction.
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The Power of the Golden Ratio (61.8%)
The golden ratio (ϕ≈1.618) and its inverse (0.618, or 61.8%) are fundamental mathematical constants that appear throughout nature, art, and science, often representing harmony and structure. In financial markets, this ratio is a cornerstone of Fibonacci analysis and is considered one of the most critical levels for price retracements.
Market movements are not linear; they progress in waves of impulse and correction. The 61.8% level often acts as the ultimate point of support or resistance. A trend that can hold this level demonstrates underlying strength and is likely to persist. A breach of this level, however, suggests a fundamental shift in market sentiment and a potential reversal.
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How to Use This Indicator
This indicator is designed for clarity and ease of use.
Identifying the Trend : The visual cues make the current trend instantly recognizable.
A teal line with a teal background signifies a bullish trend. The line acts as dynamic support.
A maroon line with a maroon background signifies a bearish trend. The line acts as dynamic resistance.
Confirming Trend Persistence : As long as the price respects the plotted level, the trend is considered intact.
In an uptrend, prices should remain above the teal line. The indicator will automatically adjust its anchor to new, higher lows, causing the support line to trail the price.
In a downtrend, prices should remain below the maroon line.
Spotting Trend Reversals : The primary signal is a trend reversal, which occurs when the price closes decisively beyond the plotted level.
Potential Sell Signal : When the price closes below the teal support line, it indicates that buying pressure has failed, and the uptrend is likely over.
Potential Buy Signal : When the price closes above the maroon resistance line, it indicates that selling pressure has subsided, and a new uptrend may be starting.
Think of this tool as an intelligent, adaptive trailing stop that is based on market structure and the time-tested principles of Fibonacci analysis.
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Input Parameters
You can customize the indicator's sensitivity through the following inputs in the settings menu:
Pivot Lookback Left : This number defines how many bars to the left of a candle must be lower (for a pivot high) or higher (for a pivot low) to identify a potential swing point. A higher value will result in fewer, but more significant, pivots being detected.
Pivot Lookback Right : This defines the number of bars that must close to the right before a swing point is confirmed. This parameter prevents the indicator from repainting. A higher value increases confirmation strength but also adds a slight lag.
Fibonacci Ratio : While the default is the golden ratio (0.618), you can adjust this to other key Fibonacci levels, such as 0.5 (50%) or 0.382 (38.2%), to test for different levels of trend persistence.
Adjusting these parameters allows you to fine-tune the indicator for different assets, timeframes, and trading styles, from short-term scalping to long-term trend following.
Quantum Harmonic Oscillator Overlay🧪 Quantum Harmonic Oscillator Overlay
A visual model of price behavior using quantum harmonic oscillation principles
📜 Indicator Overview
The Quantum Harmonic Oscillator Overlay applies concepts from both classical physics (harmonic motion) and quantum mechanics (energy states) to model and visualize how price orbits around a central trend line. It overlays a Linear Regression line (representing the “mean position” or ground state of price) and calculates surrounding energy levels (σ-zones) akin to quantum shells that price can "jump" between.
This indicator is particularly useful for visualizing mean reversion, volatility compression/expansion, and momentum-driven price breakthroughs.
🧠 Core Concepts
Linear Regression Line (LSR): This is the calculated center of gravity or equilibrium path of price over a user-defined period. Think of it like the lowest energy state or central axis around which price vibrates.
Standard Deviation Zones (σ-levels):
1σ: The majority of normal price activity; within this range, price tends to fluctuate if in balance.
2σ: Indicates volatility or possible breakout pressure.
3σ: Represents extreme movement — a phase shift in energy, potentially leading to reversal or continuation with higher momentum.
Quantum Analogy: Just like in a quantum harmonic oscillator, particles (here, prices) move probabilistically between discrete energy states. The further the price moves from the center, the more "energy" (momentum, volume, volatility) is implied.
⚙️ Input Parameters
Setting Description
Linear Regression Length The number of bars used to calculate the regression trend (default 100). Affects the central path and responsiveness.
σ Multipliers (1σ, 2σ, 3σ) Determine how far each band is from the regression line. Adjusting these can highlight different price behaviors.
Show Energy Level Zones Toggle visibility of the colored bands around the regression line.
Show LSR Center Line Toggles visibility of the white Linear Regression line itself.
🎨 Visual Components
Color Zone Interpretation
✅ Green ±1σ Normal oscillation / mean reversion area. Ideal for range-bound strategies.
🟧 Orange ±2σ Warning zone; price may be gaining momentum or volatility.
🔴 Red ±3σ High-momentum state or anomaly. These regions may imply trend exhaustion, reversals, or breakouts.
White Line: The LSR — the average trajectory of the price movement.
Pink Dots: Appear when price exceeds Zone 3 (outside ±3σ) — a signal of extreme behavior or a possible regime shift.
📈 How to Use This Indicator
1. Detect Overextensions
When price touches or breaches the 3σ zone, it is likely overextended. This can be used to anticipate potential snapbacks or strong breakout trends.
2. Identify Mean Reversion Trades
If price exits the 2σ or 3σ zones and returns toward the center line, this signals a likely mean reversion setup.
3. Volatility Compression or Expansion
Flat zones between σ levels suggest calm markets; widening bands suggest expanding volatility.
4. Use with Confirmation Tools
Combine with momentum oscillators (MACD, RSI) or volume-based signals to confirm reversals or continuation outside Zone 3.
🔮 Philosophical Note
This indicator embodies the metaphor that the market behaves like a quantum oscillator — price particles exist in a probabilistic field and jump between discrete zones of volatility and energy. Tracking these transitions allows the trader to see price behavior as rhythmic, wave-like, and multidimensional rather than purely linear.
Futures Support & Resistance LevelsMulti-Timeframe Support & Resistance Levels for Futures Trading
Description:
This indicator automatically identifies and displays key support and resistance levels using multiple technical analysis methods. Designed specifically for futures traders (ES, NQ, etc.), it provides a clean, organized view of important price levels.
Key Features:
Multiple Detection Methods: Combines pivot points, daily ranges, and psychological levels
Smart Ranking System: Levels are numbered by strength (1 = strongest)
Clean Visualization: Extended lines across the chart with clear price labels
Confluence Detection: Highlights areas where multiple levels converge
Customizable Display: Adjust colors, line styles, and label sizes
Level Types Identified:
Daily High/Low (current session)
Previous Daily High/Low
Pivot-based Support/Resistance
Psychological Round Numbers
Confluence Zones (multiple levels clustering)
Technical Approach:
The indicator uses a strength-scoring algorithm to rank levels by importance. Daily levels receive the highest weighting (2.0), followed by previous daily levels (1.5), pivot points (1.0), and psychological levels (0.5). This helps traders focus on the most significant levels.
Visual Elements:
Solid lines = Strong levels
Dashed lines = Medium levels
Dotted lines = Weak levels
Optional technical condition markers for educational analysis
Best Used For:
Identifying key intraday levels for futures trading
Finding high-probability reversal zones
Setting logical stop-loss and take-profit levels
Recognizing confluence areas for stronger setups
Note:
This is a technical analysis tool for educational purposes. No indicator can predict future price movements. Always use proper risk management and combine with other forms of analysis.
