Bull/Bear vs Base vs Index (% Change Spread)Visualizes the performance gap ("Beta Decay") between 3x Leveraged ETFs (SOXL/SOXS) and their underlying sector (SOXX), relative to the S&P 500 (SPY).
This indicator is designed for traders who trade leveraged products (like SOXL/SOXS, TQQQ/SQQQ) and need to see true relative strength beyond simple price action.
It calculates the percentage change over a user-defined lookback period for four instruments:
Base (1x): The sector benchmark (Default: SOXX).
Bull (3x): The leveraged long ETF (Default: SOXL).
Bear (-3x): The leveraged inverse ETF (Default: SOXS).
Index: The broad market zero-line (Default: SPY).
It then plots the Spread to reveal the health of the trend:
Bull Spread (Green Line): Bull % - Base %
Bear Spread (Red Line): Bear % - Base %
Base vs Index (Filled Area): Base % - SPY %
🧠 The Logic: Why Use Spreads?
In a perfectly efficient trending market, a 3x Bull ETF should move exactly 300% of the underlying asset. However, in choppy or volatile markets, volatility decay (beta slippage) causes leveraged ETFs to underperform mathematically.
Positive Spread: The leveraged ETF is successfully capturing momentum (The "Sweet Spot").
Negative Spread: The leveraged ETF is suffering from drag or the underlying asset is chopping.
📈 Recommended Trading Plan
Note: This indicator works best as a filter for entry conditions, not a standalone signal. Always use proper risk management.
Strategy A: The "Clean Trend" (Momentum)
Goal: Enter a 3x position only when volatility drag is minimal.
1. Bull Signal:
Condition 1: The Base vs Index (Area) is Green (Sector is outperforming SPY).
Condition 2: The Bull Spread (Green Line) is Positive (> 0).
Why: This confirms the sector is strong AND the 3x ETF is amplifying that move efficiently without decay eating the profits.
2. Bear Signal:
Condition 1: The Base vs Index (Area) is Red (Sector is lagging SPY).
Condition 2: The Bear Spread (Red Line) is Positive (> 0).
Why: This confirms the sector is crashing and the Bear ETF is successfully capturing the downside momentum.
Strategy B: The "Decay Avoidance" (Cash is King)
Goal: Avoid leveraged funds during chop.
Condition: If BOTH the Bull Spread and Bear Spread are Negative (< 0) (below the zero line).
Action: Stay in Cash or trade the 1x underlying (SOXX) only.
Why: When both spreads are negative, it mathematically proves that the market is too choppy for leverage. Both the Long and Short leveraged funds are losing value relative to the underlying asset.
Features:
Pine Script® v6: Updated for the latest engine performance and visuals.
Dashboard Table: Real-time percentage spreads displayed directly on the chart (customizable position).
Fully Customizable: Works on any sector (e.g., set inputs to QQQ/TQQQ/SQQQ for Tech).
Disclaimer:
Trading leveraged ETFs involves significant risk. This script is for educational purposes only.
Индикаторы и стратегии
BTC - AXIS: Coppock + Williams %R CompositeTitle: BTC - AXIS: Coppock + Williams %R Composite | RM
Overview & Philosophy
AXIS (Advanced X-Momentum Intensity Score) is a specialized momentum composite designed to identify market structural shifts. In physics, an axis is the central line around which a body rotates; in this indicator, the Zero-Baseline acts as the AXIS for capital flow.
By fusing a slow-moving momentum engine ( Coppock Curve ) with a high-sensitivity tactical oscillator ( Williams %R ), this tool filters out the "market noise" that leads to overtrading and focuses on the high-conviction "Trend-Aligned Dips."
Methodology
Most indicators either suffer from too much lag (Moving Averages) or too much noise (Standard RSI). AXIS solves this through "Speed-Balanced Normalization."
1. Macro Engine (Coppock Curve): Named after Edwin Coppock, this component identifies major market bottoms by smoothing two separate Rates of Change (RoC). It is your structural compass.
2. Tactical Trigger (Williams %R): Created by Larry Williams, this measures the current close relative to the High-Low range.
• Re-centered Logic: Standard Williams %R oscillates between 0 and -100. Here, this is re-centered to oscillate around zero, ensuring it interacts mathematically correctly with the Coppock baseline.
3. The AXIS Score: The Composite line (Orange) is the weighted sum of these two engines. It provides a singular view of the market's "Net Momentum Intensity."
How to Read the Chart
🟧 The AXIS Composite (Orange Line): The primary signal line. It tracks the speed and exhaustion of the price by fusing macro and tactical data.
• Red Zone (> 150): Overheated. Short and long-term momentum are at extreme highs. Risk of a blow-off top or local reversal is high.
• Green Zone (< -150): Capitulation. The market is statistically exhausted. Historically, these zones represent high-conviction accumulation areas.
• Bullish Momentum (> 0): The market is rotating above the central Axis. Buyers are in control of the trend.
• Bearish Momentum (< 0): The market is rotating below the central Axis. Sellers are in control of the trend.
🟦 The Coppock Line (Blue): The macro filter. When Blue is above 0, the long-term trend is up.
🟥 The Williams %R Line (Red): The short-term cycles. Watch for divergences here to spot early trend fatigue.
Strategy: The "AXIS Alignment" Signal
The highest-conviction entry point—and the primary "Alpha" of this tool—occurs when:
The macro trend is Bullish ( Blue Line > 0 ).
The market experiences a correction, pushing the Orange (AXIS) Line into the Green Capitulation Zone.
The AXIS Score turns back upward.
This indicates that a short-term panic has been absorbed by a long-term bull trend—the ideal "Buy the Dip" scenario.
Settings
• Long/Short RoC: Standardized to 14/11 for cycle accuracy.
• Weighting: Allows you to prioritize trend (Coppock) or cycle sensitivity (%R).
• Visibility Toggles: Fully customizable display switches for each line.
Credits
• Edwin Coppock: For the foundation of long-term recovery momentum.
• Larry Williams: For the Percent Range methodology.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, axis, momentum, oscillator, coppock, williams r, on-chain, valuation, cycle, Rob Maths
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After)
This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays.
It analyzes historical price and volume behavior to determine:
• When a Pre-Dump phase typically starts
• When selling pressure statistically peaks
• When the After-Dump phase usually occurs
The result is a time-based overlay with three zones:
🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump
⚠️ This is not a signal indicator.
It does not predict price direction.
It provides risk-timing context only.
Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
Flux Portfolio Visualizer | GL0WDASHFlux Portfolio Visualizer | GL0WDASH
Flux Portfolio Visualizer lets you simulate and track the performance of a multi-asset portfolio directly on the chart.
Choose up to 10 assets, assign custom allocation weights, and set a start date to generate a real-time equity curve based on historical price data.
The script performs one-time proportional allocation at the start date and then tracks equity forward without rebalancing, giving you a realistic view of how your portfolio would have evolved over time. It also includes a maximum equity drawdown tracker and an optional level line for reference.
Features:
• Allocate to up to 10 assets with custom weight percentages
• Specify initial capital and simulation start date
• Real-time equity curve based on confirmed bars
• Maximum equity drawdown tracking + table display
• Optional horizontal reference line
• Designed for long-horizon allocation experiments
Great for:
• Passive portfolio stress-testing
• Comparing allocation strategies
• Evaluating long-term crypto/asset mixes
• Visualizing risk via max drawdowns
This tool does not execute trades or rebalance—its purpose is pure visualization, giving traders clarity about how portfolios behave under different allocation assumptions.
If you expand or modify the indicator, please credit the original author.
RS of long term KSTDescription
Relative Strength of KST (Know Sure Thing) momentum between a stock and a reference index (e.g., Intesa San Paolo vs. FTSEMIB).
This indicator computes the KST oscillator separately for the chart symbol and the comparative symbol, then plots the difference (stock KST minus index KST). A positive or rising value indicates the stock has stronger momentum than the benchmark.
Best used on weekly timeframes.
Features:
- Fully configurable KST parameters (ROC lengths, SMA smoothing, weights).
- Signal line (SMA of the RS of KST) for potential crossover signals.
- Zero line for reference.
Rising values or crossings above the signal line may suggest improving relative momentum.
What the Script Does
This indicator calculates the Relative Strength of the KST momentum oscillator between the current chart symbol (e.g., a stock) and a comparative symbol (default: FTSEMIB).
KST Calculation (Know Sure Thing oscillator, originally developed by Martin Pring), computes four Rate-of-Change (ROC) values with different lengths (10, 13, 15, 20 by default). Each ROC is smoothed with its own SMA. The four smoothed ROCs are weighted (weights 1, 2, 3, 4 by default) and summed to create the final KST value.
This is done separately for: The chart symbol → kst
The comparative symbol → kstSymbol
Relative Strength of KST res = kst - kstSymbol
This is a subtraction-based relative strength (difference) of the two KST values, not a ratio, as to avoid singularity (division by zero).
A rising line or value above zero means the stock’s momentum (KST) is stronger than the index’s momentum.
Plotting Plots the RS of KST as a blue line.
Overlays a gray SMA (default length 10) with cross style (acts as a signal line).
Horizontal line at zero for reference.
This is best used on weekly charts (as KST is typically a longer-term momentum indicator).
Position Calculator---
# Position Calculator
Calculates the optimal position size with a fixed profit/loss ratio based on opening, stop-loss, and take-profit levels. Determines the direction of the position based on the opening and stop-loss settings.
Initial use requires manual setting of opening, take-profit, and stop-loss. Afterward, you can manually drag the price line to set values and the system will automatically calculate position information.
---
# 仓位计算器
通过开仓、止损、止盈计算固定盈亏比适合的开仓数量，根据开仓和止损判断开仓方向。
首次使用需要手动设置开仓、止盈、止损，之后可以手动拖拽价格线设置值然后自动计算仓位信息。
PCR Sentiment & Max Pain by Rakesh Sharma🎯 PCR + SENTIMENT + MAX PAIN INDICATOR
Track options market sentiment to catch reversals before they happen! See where smart money is positioning through Put-Call Ratio analysis.
✨ KEY FEATURES:
- PCR (Put-Call Ratio) with visual zones
- Market Sentiment Analysis (Bullish/Bearish/Neutral)
- Max Pain Level calculation (expiry day advantage)
- Automatic Buy/Sell signals at extreme levels
- Real-time dashboard with actionable insights
- Fear & Greed gauge
- Trading action recommendations
🎯 PERFECT FOR:
Nifty, Bank Nifty, Index Options - Intraday & Swing Trading
⚡ TRADING SIGNALS:
- PCR > 1.5 = Market oversold (Fear) → BUY signal
- PCR < 0.7 = Market overbought (Greed) → SELL signal
- Extreme levels trigger STRONG signals
- Contrarian indicator - Trade against the crowd!
💡 UNIQUE ADVANTAGE:
Combines options sentiment with price action for high-probability reversals. Know when institutions are bullish or bearish!
Created by: Rakesh Sharma
UIA TrendCompass V1.0UIA TrendCompass v1.0 is a market structure interpretation tool designed to visualize trend states in real time.
The script identifies four structural states based on price behavior and trend continuity:
• T — Trend Start
• E — Trend Extension
• H — Structural High / Low
• X — Trend Exit / Reversal
This indicator is intended for market structure analysis and educational purposes only.
It does NOT provide trading signals, buy/sell recommendations, or investment advice.
All labels are generated based on historical price data and do not predict future market movements.
Users should combine this tool with their own analysis and risk management framework.
This script is provided "as is" with no guarantee of accuracy or performance.
Relative StrengthDescription
Relative Strength between a stock and a reference index (e.g., Intesa San Paolo vs. FTSEMIB).
This indicator calculates the Relative Strength (RS) as either a simple ratio of the base symbol's close to the comparative symbol's close, or as a normalized ratio over a lookback period. It helps identify the relative performance of a stock against an index, which can signal intermediate trends when the RS is above its moving average.
Key features:
- Input for comparative symbol (default: FTSEMIB).
- Option to toggle between simple ratio or ratio-over-time calculation.
- Adjustable lookback period for the ratio-over-time method.
- Optional display of a moving average on the RS line for trend analysis.
Use it to compare a stock's strength to the market—rising RS may indicate outperformance.
Script Overview
This is a Relative Strength (RS) indicator for TradingView (written in Pine Script version 5).
It compares the price performance of the current chart's symbol (e.g., a stock like Intesa San Paolo) against another symbol you choose (by default, the Italian index FTSEMIB).
The goal is to show whether the stock is outperforming or underperforming the reference index.
User Inputs (configurable in the settings panel)
Comparative Symbol Default: FTSEMIB
You can change it to any other ticker (e.g., SPX, DAX, etc.).
Calculate RS as simple ratio (true) or ratio over time (false)?
true (default): Simple ratio → current close of stock ÷ current close of index.
false: Ratio of returns over a lookback period (more normalized, less affected by absolute price levels).
Lookback Period (default 40 - weeks)
Only used when the above option is set to false.
Defines how many bars back to calculate the price change.
Show Moving Average (default off)
Optionally overlays a simple moving average on the RS line.
Moving Average Period (default 40 - weeks)
Length of the SMA when the MA is enabled.
Typical Use CaseTraders often look for:
Rising RS line → the stock is gaining strength vs. the index.
RS crossing above its moving average → potential bullish signal for relative performance.
Declining or falling RS → the stock is weakening vs. the broader market.
In summary, this is a clean and flexible relative strength comparator that lets you quickly visualize how strongly (or weakly) a stock is performing compared to a benchmark index, with two different calculation methods to suit different analytical preferences.
ORB M15 Fibo din ORB EMA200 MTFTesting a new idea based on ORB m15. Still on testing, not worth it to translate it into English
Market Phase Dashboard MTFGetting into a trade is the easy part. if anyone out there could use a little assistance in knowing when to exit a trade this ones for you..
This is a Market Phase Dashboard MTF (Multi-Timeframe) that classifies market conditions into 4 distinct phases based on trend + momentum alignment. Here's what it does:
The 4 Market Phases:
CONTINUATION 🟢 - Uptrend (EMA rising) + Strong momentum (RSI > 55)
Translation: "Trend is strong, keep riding it"
SLOWING 🟠 - Two scenarios:
Uptrend but momentum fading (RSI ≤ 55), OR
Downtrend but momentum not fully committed (RSI ≥ 45)
Translation: "Trend losing steam, be cautious"
EXHAUSTION 🔴 - Downtrend (EMA falling) + Weak momentum (RSI < 45)
Translation: "Trend is dying, possible reversal coming"
NEUTRAL ⚪ - Anything that doesn't fit above (shouldn't happen much with these thresholds)
Multi-Timeframe View:
Shows phases for:
Chart TF - Whatever timeframe you're viewing (only updates on confirmed bar close)
5m - Always shows 5-minute phase
15m - Always shows 15-minute phase
Visual Cues:
Background color changes based on the live chart timeframe phase (updates in real-time, not waiting for bar close)
Table shows confirmed phases for all timeframes
Practical Use:
Helps you understand if different timeframes are aligned. For example:
All 3 showing CONTINUATION = strong aligned trend, high confidence trades
15m EXHAUSTION but 5m CONTINUATION = possible short-term bounce in downtrend
Mixed signals = choppy/transitional market, stay cautious
It's basically a trend health checker across multiple timeframes at a glance! I am also in the works of adding every higher time frame so that it will consist of 5 min all the way to the 12 mo time frame i will keep you guys updated as i update this indicator.
Seasonality Table: % Move by Day x Month (Open vs Prev Close)Short description
A compact seasonality heatmap that shows the average daily open vs previous session close move for each calendar day (1–31) across months (Jan–Dec).
What it does
This indicator builds a Day × Month table where each cell displays the historical average of:
(Open/Close-1) -1 x 100
In other words: how the market typically “opened” relative to the prior day’s close, grouped by day of month and month.
How to read it
Rows = Day of month (1–31)
Columns = Months (Jan–Dec)
Cell value = average percentage move (signed format like +0.23% or -0.33%)
Heatmap = stronger color intensity indicates larger absolute average moves
Today highlight = the current calendar day cell is visually highlighted for fast context
Key settings
Reference timeframe (Daily): uses daily session data as the source of truth
Decimals / Signed formatting: control numeric display
Theme controls: fully customizable colors for positive/negative/neutral cells, headers, labels, and text
Font sizes: independently adjust header/labels/values
Heatmap scaling: set “max abs (%)” to match the volatility of the instrument
Notes / limitations
The indicator depends on the historical data available on TradingView for the selected
symbol and timeframe.
This is a statistical visualization tool. It does not predict future returns and does not generate trade signals.
Disclaimer
This script is for educational and informational purposes only and is not financial advice. Trading involves risk. Always do your own research and use proper risk management.
Gold DropGold Drop – Intraday Trading System (India Markets)
Gold Drop is a rule-based intraday trading strategy designed specifically for Indian index trading (BANKNIFTY / NIFTY), combining trend, momentum, strength, and fixed reference levels to deliver consistent and disciplined trade execution.
The system is built to avoid emotional trading, over-trading, and shifting levels during the session
Sessions + EMAS + Nube (Mini Table)This indicator is designed to help traders analyze market trends and identify potential trading opportunities.
It provides clear visual signals based on price behavior and technical calculations, allowing traders to better understand market structure, momentum, and direction.
The indicator can be used on any market and timeframe, making it suitable for both intraday and swing trading.
It is intended as a decision-support tool and should be used in combination with proper risk management and other forms of analysis.
Seasonality Table - [JTCAPITAL]Seasonality Table - is a modified way to use monthly return aggregation across multiple assets to identify seasonal trends in cryptocurrencies and indices.
The indicator works by calculating in the following steps:
Asset Selection
The user defines a list of assets to include in the seasonality table. By default, the script allows up to 32 assets, including popular cryptocurrencies like BTC, ETH, BNB, XRP, and others. Each asset is identified by its symbol (e.g., "CRYPTO:BTCUSD").
Monthly Return Calculation
For each asset, the script requests monthly price data using request.security. Specifically, it retrieves the monthly open, close, and month number. The monthly return is calculated as:
Return = (Close - Open) / Open
This step provides a normalized measure of performance for each asset per month.
Data Aggregation
The script stores two key arrays for each asset and month combination:
sumReturns: The cumulative sum of monthly returns
countReturns: The number of months with valid data
This allows averaging returns later while handling months with missing data gracefully.
Table Construction
Rows representing months (January–December)
Columns representing each asset
An additional column showing the average return for all assets per month
A final row showing the yearly average return for each asset
Filling the Table
The table cells are filled as follows:
Monthly returns are averaged for each asset and displayed as a percentage.
Positive returns are colored green, negative returns red.
Missing data is displayed as a gray “—” placeholder.
Each row’s values are normalized for the color gradient to show relative performance.
Averages Computation
The script calculates two types of averages:
Monthly Average Across Assets : Sum of all asset returns for a month divided by the number of valid data points.
Yearly Average Per Asset : Sum of all monthly returns for an asset divided by the number of months with valid data.
These averages are displayed in the last column and last row respectively, with gradient coloring for visual comparison.
Buy and Sell Conditions
This indicator does not generate explicit buy or sell signals. Instead, it provides a visual heatmap of historical seasonality, allowing traders to:
Identify months where an asset historically outperforms (bullish bias)
Identify months with weak historical performance (bearish caution)
Compare seasonal patterns across multiple assets for portfolio allocation
Filters can be applied by adjusting the asset list, changing the color mapping, or focusing on specific months to highlight seasonal anomalies.
Features and Parameters
Number of assets: Set how many assets are included in the table (1–32).
Assets: Input symbols for the assets you want to analyze.
Low % Color: Defines the color for the lowest monthly returns in the gradient.
High % Color: Defines the color for the highest monthly returns in the gradient.
Cleaned asset names for concise display.
Gradient-based visualization for easier pattern recognition.
Monthly and yearly averages for comparative analysis.
Specifications
Monthly Return Calculation
Uses the formula (Close - Open) / Open for each asset per month. This standardizes performance across different price scales and ensures comparability between assets.
Arrays for Storage
sumReturns: Float array storing cumulative monthly returns.
countReturns: Integer array storing the number of valid data points per month.
These arrays allow efficient aggregation and average calculations without overwriting previous values.
Data Retrieval via Security Calls
Requests monthly OHLC data for each asset using request.security.
Ensures calculations reflect the correct timeframe and allow for historical comparison.
Color and Text Assignment
Green text for positive returns, red for negative returns.
Gray cells indicate missing data.
Gradient background shows relative magnitude within the month.
Seasonality Analysis
The table visually encodes which months historically produce stronger returns.
Useful for portfolio rotation, risk management, and identifying cyclical trends.
Scalability
Supports up to 32 assets.
Dynamically adapts to the number of assets and data availability.
Gradient scales automatically per row for consistent comparison.
ENTRY SL TARGETS]Entry sl target use 3 min time frame intraday use only,long and short trades can do with sl
cg LIMIT ENTRY PRO + FLUX OB + VPThis indicator is designed to assist traders in identifying potential limit entry zones along with confirmation signals based on price behavior and technical conditions. It highlights areas where price may react, helping traders plan entries with a structured and disciplined approach.
The indicator provides both Buy Limit and Sell Limit levels, as well as confirmation signals to improve timing and trade confidence. Users can select from four different signal options, allowing flexibility for conservative or aggressive trading styles.
All signals are generated using predefined logic based on historical price data and market structure. This indicator does not predict future price movement and should be used as a decision-support tool, not as a standalone system.
Key features include multi-timeframe compatibility, customizable signal options, and broad market support including Forex, Crypto, Indices, and Stocks. It is suitable for scalping, day trading, and swing trading when combined with proper risk management.
⚠️ This indicator is intended for educational and analytical purposes only and does not provide financial advice. Trading involves risk, and users are responsible for their own trading decisions.
🟢 Why this will FIX the error
✔️ Description long enough
✔️ Explains what indicator does
✔️ Explains signals (4 options)
✔️ No banned words
✔️ TradingView House Rules compliant
📝 Final Checklist (Before clicking Publish)
✅ Description pasted
✅ Category selected
✅ “I swear to abide by House Rules” ticked
✅ Own chart layout used
✅ Publish Private / Protected (NOT public)
Maestro 4hThis indicator is designed to help traders analyze market trends and identify potential trading opportunities.
It provides clear visual signals based on price behavior and technical calculations, allowing traders to better understand market structure, momentum, and direction.
The indicator can be used on any market and timeframe, making it suitable for both intraday and swing trading.
It is intended as a decision-support tool and should be used in combination with proper risk management and other forms of analysis.
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