Bull vs Bear Volume (Enhanced)Bull vs Bear Volume (Enhanced) is a custom volume histogram that separates and visualizes estimated buying vs. selling volume within each candle. This allows traders to better understand market sentiment and detect imbalances in demand and supply.
🔍 What It Does:
Plots bullish volume (green) above the x-axis and bearish volume (red) below.
Estimates bull/bear volume by analyzing the close location within the candle's range.
Highlights volume spikes with lime (bullish) or maroon (bearish) when volume exceeds a user-defined threshold.
Includes an optional total volume line for added context.
Supports smoothing via simple moving average (SMA) to reduce noise.
🛠️ Inputs:
Toggle smoothing and set its length.
Enable/disable threshold spike highlighting.
Show/hide the total volume overlay.
Adjust the threshold multiplier for spike detection.
⚠️ Important:
This script uses a proxy method based on candle structure to estimate volume split — it does not use real-time order flow or trade direction data.
Works best on liquid assets with consistent volume.
Komut dosyalarını "吉马良斯VS摩雷伦斯" için ara
Credit Spread Monitor: HY & IG vs US10Y📉 Credit Spread Monitor: HY & IG vs US10Y
This indicator provides a dynamic and visual way to monitor credit spreads relative to the US Treasury benchmark. By comparing High Yield (HY) and Investment Grade (IG) corporate bond yields to the 10-Year US Treasury Yield (US10Y), it helps assess market stress, investor risk appetite, and potential macro turning points.
🔍 What It Does
-Calculates credit spreads:
HY Spread = BAMLH0A0HYM2EY − US10Y
IG Spread = BAMLC0A0CMEY − US10Y
-Detects macro risk regimes using statistical thresholds and yield curve signals:
🔴 HY Spread > +2σ → Potential financial stress
🟠 Inverted Yield Curve + HY Spread > 2% → Recession risk
🟢 HY Spread < 1.5% → Risk-on environment
-Visually highlights conditions with intuitive background colors for fast decision-making.
📊 Data Sources Explained
🔴 High Yield (HY): BAMLH0A0HYM2EY → ICE BofA US High Yield Index Effective Yield
🔵 Investment Grade (IG): BAMLC0A0CMEY → ICE BofA US Corporate Index Effective Yield
⚪ Treasury 10Y: US10Y → 10-Year US Treasury Yield
⚪ Treasury 2Y: US02Y → 2-Year US Treasury Yield (used to detect curve inversion)
✅ This Indicator Is Ideal For:
Macro traders looking to anticipate economic inflection points
Portfolio managers monitoring systemic risk or credit cycles
Fixed-income analysts tracking the cost of corporate borrowing
ETF/Asset allocators identifying shifts between risk-on and risk-off environments
🧠 Why It's Useful
This script helps visualize how tight or loose credit conditions are relative to government benchmarks. Since HY spreads typically widen before major downturns, this tool can provide early warning signals. Similarly, compressed spreads may indicate overheating or complacency in risk markets.
🛠️ Practical Use Case:
You’re managing a multi-asset portfolio. The HY spread jumps above +2σ while the yield curve remains inverted. You decide to reduce exposure to equities and high-yield bonds and rotate into cash or Treasuries as recession risk rises.
📎 Additional Notes
Sourced from FRED (Federal Reserve Economic Data) and TradingView’s bond feeds.
Designed to work best on daily resolution, using open prices to ensure consistency across series with different update timings.
This script is original, not based on built-in or public templates, and intended to offer educational, statistical, and visual insights for serious market participants.
BTC vs ALT Lag Detector [MEXC Overlay]This indicator monitors the price movement of Bitcoin (BTC) and compares it in real time to a customizable list of major altcoins on the MEXC exchange.
It helps you identify lagging altcoins — tokens that are underperforming or overperforming BTC’s price action over a selected timeframe. These temporary deviations can offer profitable entry or rotation opportunities, especially for scalpers, day traders, and arbitrage-style strategies.
Key Features:
- Real-time deviation detection between BTC and altcoins
- Customizable comparison timeframe: 1m, 6m, 12m, 30m, 1h, 4h, or 1d
- Deviation threshold alert: Highlights coins that lag BTC by more than 0.5%, 1%, 2%, or 3%
- Compact stats table embedded in the price chart
- Fully adjustable layout: Table position (Top/Bottom/Center + Left/Right), Font size (Tiny, Small, Medium)
- Built-in alert system when deviation exceeds your chosen threshold
How to Use It:
Set your desired timeframe for comparison (e.g., 1 hour).
Select a deviation threshold (e.g., 1.0%).
The table will show:
Each altcoin’s % change
BTC’s % change
The delta (deviation) vs BTC
Red highlights indicate alts whose deviation exceeded the threshold.
When at least one alt lags beyond your threshold, the indicator can trigger an alert — helping you capitalize on potential catch-up trades.
Please provide any feedback on it.
Stock vs SPY % ChangeStock vs SPY % Change Indicator
This Pine Script indicator helps you compare a stock's price performance to the S&P 500 (using SPY ETF) over a user-defined period. It calculates the percentage price change of the stock and SPY, then displays the difference as a relative performance metric. A positive value (plotted in green) indicates the stock is outperforming SPY (e.g., dropping only 3% while SPY drops 10%), while a negative value (plotted in red) shows underperformance.
Features:
Adjustable lookback period (default: 20 days) to analyze recent performance.
Visual plot with green/red coloring for quick interpretation.
Zero line to clearly separate outperformance from underperformance.
How to Use:
Apply the indicator to your stock's chart.
Set the "Lookback Period" in the settings (e.g., 20 for ~1 month).
Check the plot:
Green (above 0) = Stock's % change is better than SPY's.
Red (below 0) = Stock's % change is worse than SPY's.
Use on daily or weekly charts for best results.
Ideal for identifying stocks that hold up better during market downturns or outperform in uptrends. Perfect for relative strength analysis and to spot accumulation.
Hippo Battlefield - Bulls VS Bears 20 bars## Hippo Battlefield – Bulls VS Bears (20 Bars)
**What it is**
A multi-dimensional momentum-and-sentiment oscillator that combines classic Bull/Bear Power with ATR- or peak-normalization, then layers on RSI and MACD-derived metrics into:
1. **A colored bar series** showing net Bull+Bear Power strength over the last 20 bars,
2. **A dynamic table** of each of those 20 BBP values (grouped into four 5-bar “quartals”), with symbols, per-bar change, and rolling averages, and
3. **A composite “Weighted BBP” histogram** blending normalized RSI, MACD, and BBP into a single view.
---
### Key Inputs
- **Length (EMA)** – look-back for the underlying EMA (default 60)
- **Normalization Length** – look-back window for peak-normalization (default 60)
- **Use ATR for Norm.** – toggle ATR-based normalization vs. highest-abs(BBP)
- **Show Tables** – toggle the bottom-right 21×11 grid of raw and average BBP values
---
### What You See
#### 1. Colored Bars (Overlay = false)
- Bars are colored by normalized BBP intensity:
- Extreme Bull (≥+10): deep blue
- Strong Bull (+5 to +10): green/yellow
- Weak Bull (+0 to +5): dark green
- Weak Bear (–0 to –5): dark red
- Strong Bear (–5 to –10): pink/red
- Extreme Bear (<–10): magenta
#### 2. Bottom-Right Table (20 Bars of Data)
- Divided into four columns (0–4, 5–9, 10–14, 15–19 bars ago) and one “average” row.
- Each cell shows:
1. Bar index (1–20),
2. Normalized BBP value (to four decimals),
3. Direction symbol (↑/↓/=),
4. Bar-to-bar change (± value),
5. A separator “|”.
- At the very bottom, each column’s 5-bar average is displayed as “Avg: X.XXXX” with a dot marker.
#### 3. Top-Center Mini-Table
- When ≥20 bars have elapsed, shows the date at 20 bars ago and the average BBP across the full 20-bar window.
#### 4. Normalized RSI Line
- Rescales the classic 14-period RSI into a –20…+20 band to align with BBP.
#### 5. MACD Lines (Hidden) & Composite Histogram
- MACD and signal lines are calculated but not plotted by default.
- A “Weighted BBP” histogram combines:
- 20% normalized RSI,
- 20% average of (MACD + signal + normalized BBP),
- 60% normalized BBP
- Plotted as columns, color-coded by strength using the same palette as the main bars.
#### 6. Middle Reference Line
- A horizontal zero line to anchor over/under-zero readings.
---
### How to Use It
- **Trend confirmation**: Strong blue/green bars alongside a rising histogram suggest bull conviction; strong reds/magentas signal bear dominance.
- **Divergence spotting**: Watch for price making new highs/lows while BBP or the histogram fails to follow.
- **Quartal analysis**: The 5-bar group averages can reveal whether recent momentum is accelerating or waning.
- **Cross-indicator weighting**: Because RSI, MACD, and raw BBP all feed into the final histogram, you get a smoothed, blended view of momentum shifts.
---
**Tip:** Tweak the EMA and normalization length to suit your preferred timeframe (e.g. shorter for intraday scalps, longer for swing trades). Enable/disable the table if you prefer a cleaner pane.
EU vs GU Strength @smEURUSD vs GBPUSD Strength Tester
✅ What it does:
-Plots EURUSD change (blue line)
-Plot GBPUSD change (green line)
-Plots EURGBP change (orange line)
Background turns bluish if EUR is stronger, greenish if GBP is stronger!
So, just by watching the background color, you can immediately tell:
If you prefer EURUSD or GBPUSD for your long/short setup.
Gap & Reversal Signals (Normal vs Heikin-Ashi)🔍 Gap & Reversal Signals (Normal vs Heikin-Ashi) — by
This script is designed to help traders identify key market signals by comparing Normal Candlestick Patterns with Heikin-Ashi values to highlight potential:
✅ Gap Up Opportunities (Strong Bullish Continuation)
🔻 Gap Down Alerts (Strong Bearish Continuation)
🔄 Bullish Reversal Zones (Possible Trend Reversal from Bearish to Bullish)
🔁 Bearish Reversal Zones (Possible Trend Reversal from Bullish to Bearish)
🧠 How it Works:
Gap Up: Normal candle is bullish, Heikin-Ashi is also bullish, and price closes higher than the HA close.
Gap Down: Normal candle is bearish, Heikin-Ashi is also bearish, and price closes lower than the HA close.
Bullish Reversal: Normal candle is bullish, but Heikin-Ashi shows bearish — potential reversal signal.
Bearish Reversal: Normal candle is bearish, but Heikin-Ashi shows bullish — potential reversal signal.
📊 Plot Details:
💚 Gap Up → Green Label Below Bar
❤️ Gap Down → Red Label Above Bar
💙 Bullish Reversal → Blue Label Below Bar
🧡 Bearish Reversal → Orange Label Above Bar
🚀 Use Cases:
Swing and positional traders looking for high-probability reversal setups
Intraday traders spotting early momentum shifts
Backtesters combining HA + candlestick logic for more robust strategies
ES1! vs ZB1! Exponentially Weighted CorrelationES1! vs ZB1! Exponentially Weighted Correlation
This indicator calculates and visualizes the exponentially weighted correlation between the S&P 500 E-mini futures (ES1!) and the 30-Year U.S. Treasury Bond futures (ZB1!) over a user-defined lookback period. By using an exponential moving average (EMA) approach, it emphasizes recent price movements, providing a dynamic view of the relationship between these two key financial instruments.
Features:
- Customizable Inputs: Adjust the lookback length (default: 60) and alpha (default: 0.1) to fine-tune the sensitivity of the correlation calculation.
- Exponentially Weighted Correlation: Measures the strength and direction of the relationship between ES1! and ZB1! prices, with more weight given to recent data.
- Visual Clarity: Displays correlation as colored bars (green for positive, red for negative) for quick interpretation, with reference lines at 0, +1, and -1 for context.
- Non-Overlay Design: Plotted in a separate panel below the chart to avoid cluttering price data.
How It Works:
The indicator fetches closing prices for ES1! and ZB1!, applies an EMA to smooth the data, and computes the exponentially weighted covariance and variances. The correlation is then derived and plotted as a histogram, helping traders identify whether the two markets are moving together (positive correlation), in opposite directions (negative correlation), or independently.
Use Cases:
- Market Analysis: Gauge the relationship between equity and bond markets to inform trading strategies.
- Risk Management: Monitor correlation shifts to adjust portfolio exposure.
- Intermarket Insights: Identify trends or divergences in the stock-bond dynamic for macroeconomic analysis.
Ideal for traders and analysts tracking intermarket relationships, this indicator offers a clear, responsive tool for understanding ES1! and ZB1! correlation in real-time.
Candle vs 8 SMA - Red & Green📈 Script Name: Candle vs 8 SMA – Red & Green
This TradingView Pine Script visually compares each candle's close price to the 8-period Simple Moving Average (SMA) and highlights the chart accordingly:
🔍 What It Does:
Calculates the 8-period SMA
sma8 = ta.sma(close, 8)
This line computes the average of the last 8 closing prices to smooth out short-term fluctuations.
Plots the SMA Line
Orange line shown on the chart.
Helps you visually track the short-term trend.
Identifies Candle Position
candleAbove: true if the candle’s close is above the SMA
candleBelow: true if the candle’s close is below the SMA
Highlights Background
If the close is above the 8 SMA → Green background (indicating bullish behavior)
If the close is below the 8 SMA → Red background (indicating bearish behavior)
Plots Triangle Shapes
Green triangle below candle when above the SMA
Red triangle above candle when below the SMA
Helps quickly identify conditions at a glance
🧠 Why Use It?
This script is useful for:
Intraday trend confirmation
Spotting momentum shifts
Visual clarity on how price reacts to a dynamic support/resistance (SMA)
Aiding quick decisions for scalping or intraday trades
VoluTility🌊 VoluTility forecasts trend exhaustion, breakout pressure, and structural inflection by measuring volatility within the effort stream. Built on the concept of ATR applied to volume, it doesn’t read raw volume — it reveals whether that volume is stable, chaotic, or compressing ahead of a move. The goal is to detect structural setups before they resolve. The lower the timeframe, the greater the alpha.
🧠 Core Logic
A zero-centered histogram shows the deviation of smoothed volume from its own volatility baseline. Positive bars indicate expansion; negative bars signal compression. Color reflects rate-of-change in volume volatility. Opacity tracks effort/result strength — showing when moves are real or hollow.
The overlaid ribbon (EMA vs HMA) highlights rhythm shifts. Orange fill signals real expansion; yellow shows decay or absorption. Together, they expose pre-breakout compression and exhaustion tails before price reacts.
🏗️ Structural Read
On the 1H BTC chart shown, price coils into a shallow pullback, compressing within a narrow range marked by shrinking candle bodies and muted wick aggression. A sudden expansion candle breaks the coil cleanly, with no immediate rejection or wick reversion. Price holds above the breakout pivot, establishing a baseline for structural acceptance and shifting bias toward continuation.
🔰 Zone Descriptions
🔴 Volatile blowout
🟠 Clean expansion
🟡 Passive or absorbed effort
🟢 Steady-state rhythm
🔵 Compression coil
🧐 Suggested Use
VoluTility is expressly designed as an overlay for sub-pane indicators, where it acts as a second-order rhythm map — exposing hidden structural pressure within volume or volatility streams. When paired with volume (like ZVOL or OBVX), it highlights when flow is expanding with intent versus fading into noise. When layered over volatility signals (like ATR Turbulence or WIRE), it reveals whether expansion has real effort behind it — or is just structural slack.
It pairs especially well with the Relative Directional Index (RDI), where its histogram and ribbon offer early exhaustion signals before traditional trend or momentum fades appear. On raw momentum tools, it acts as a filter: softening false breaks and confirming pressure-backed continuation.
Run on 15m or lower charts for early entry cues or breakout anticipation. On 1H charts, use it to validate compression resolution or detect fatigue before structure turns. It doesn’t react to price — it forecasts readiness.
RVOL Effort Matrix💪🏻 RVOL Effort Matrix is a tiered volume framework that translates crowd participation into structure-aware visual zones. Rather than simply flagging spikes, it measures each bar’s volume as a ratio of its historical average and assigns to that effort dynamic tiers, creating a real-time map of conviction , exhaustion , and imbalance —before price even confirms.
⚖️ At its core, the tool builds a histogram of relative volume (RVOL). When enabled, a second layer overlays directional effort by estimating buy vs sell volume using candle body logic. If the candle closes higher, green (buy) volume dominates. If it closes lower, red (sell) volume leads. These components are stacked proportionally and inset beneath a colored cap line—a small but powerful layer that maintains visibility of the true effort tier even when split bars are active. The cap matches the original zone color, preserving context at all times.
Coloration communicates rhythm, tempo, and potential turning points:
• 🔴 = structurally weak effort, i.e. failed moves, fake-outs or trend exhaustion
• 🟡 = neutral volume, as seen in consolidations or pullbacks
• 🟢 = genuine commitment, good for continuation, breakout filters, or early rotation signals
• 🟣 = explosive volume signaling either climax or institutional entry—beware!
Background shading (optional) mirrors these zones across the pane for structural scanning at a glance. Volume bars can be toggled between full-stack mode or clean column view. Every layer is modular—built for composability with tools like ZVOL or OBVX Conviction Bias.
🧐 Ideal Use-Cases:
• 🕰 HTF bias anchoring → LTF execution
• 🧭 Identifying when structure is being driven by real crowd pressure
• 🚫 Fading green/fuchsia bars that fail to break structure
• ✅ Riding green/fuchsia follow-through in directional moves
🍷 Recommended Pairings:
• ZVOL for statistically significant volume anomaly detection
• OBVX Conviction Bias ↔️ for directional confirmation of effort zones
• SUPeR TReND 2.718 for structure-congruent entry filtering
• ATR Turbulence Ribbon to distinguish expansion pressure from churn
🥁 RVOL Effort Matrix is all about seeing—how much pressure is behind a move, whether that pressure is sustainable, and whether the crowd is aligned with price. It's volume, but readable. It’s structure, but dynamic. It’s the difference between obeying noise and trading to the beat of the market.
Risk-On vs Risk-Off Meter (Pro)Risk-On vs Risk-Off Meter (Pro)
This macro-based tool analyzes capital flows across key assets to gauge overall market risk sentiment. It does not use ES, SPY, or stock data directly—making it a powerful confirmation tool for ES traders looking to align with macro forces.
🔹 Core Idea:
Tracks capital rotation between copper/gold, bonds, dollar, crude oil, VIX, and yield spreads to generate a normalized risk score (0–1). This score reflects whether macro money is flowing into risk or safety.
🔹 Use:
Use this indicator as confirmation of directional bias when scalping or day trading ES.
– Green Zone (>0.75): Risk-On environment. Favor long setups.
– Red Zone (<0.45): Risk-Off. Favor short setups or stand aside.
– Yellow Zone: Neutral, use caution.
– Divergence Alerts: Signals when ES price disagrees with macro risk trend—potential reversals or exhaustion zones.
HOT TO USE
– Combine with your existing price action or order flow signals
– Avoid trading against the macro sentiment unless strong setup
– Use divergence as a heads-up for fading or exiting trades
This gives you a macro-informed lens to validate or filter your entries.
Gold Futures vs Spot (Candlestick + Line Overlay)📝 Script Description: Gold Futures vs Spot
This script was developed to compare the price movements between Gold Futures and Spot Gold within a specific time frame. The primary goals of this script are:
To analyze the price spread between Gold Futures and Spot
To identify potential arbitrage opportunities caused by price discrepancies
To assist in decision-making and enhance the accuracy of gold market analysis
🔧 Key Features:
Fetches price data from both Spot and Futures markets (from APIs or chart sources)
Converts and aligns data for direct comparison
Calculates the price spread (Futures - Spot)
Visualizes the spread over time or exports the data for further analysis
📅 Date Created:
🧠 Additional Notes:
This script is ideal for investors, gold traders, or analysts who want to understand the relationship between the Futures and Spot markets—especially during periods of high volatility. Unusual spreads may signal shifts in market sentiment or the actions of institutional players.
BTC & SPX vs Yield Curve: Recession Risk ZonesBTC & SPX vs Yield Curve – Recession Risk Zones
This tool helps you track Bitcoin (BTC) and the S&P 500 (SPX) against key macro signals from the U.S. yield curve to spot potential recession risks.
🟪 Color Legend:
🔴 Red = Yield curve is inverted (warning starts)
🟡 Yellow = Projected 6–18 month recession risk (if inversion still active)
🟠 Orange = Active 6–18 month risk window (after inversion ends)
💜 Fuchsia = Real historical U.S. recessions
📈 What’s Plotted:
🔵 BTCUSD (blue line) – Normalized price
🟢 S&P 500 (green line) – Normalized price
🟠 10Y–2Y Yield Spread – Macro signal for risk
✅ Use it to:
Spot macro pressure zones
See how BTC and SPX behave around economic stress
Stay cautious when red/orange/yellow areas appear
Let me know if you'd like to enable toggles to hide/show BTC or SPX independently!
Stacked Bullish vs Bearish VolumeThis indicator visually represents buying (bullish) and selling (bearish) pressure within each candle by stacking both portions inside a single volume bar. Unlike traditional volume indicators that use only one color per bar, this script splits each volume bar into two segments:
Green portion (Bullish Volume) → Represents the buying pressure when the price moves up.
Red portion (Bearish Volume) → Represents the selling pressure when the price moves down.
By stacking buy and sell volume inside the same column, traders can easily assess the balance of buying vs selling activity within each trading session.
Stacking the Bars:
The bullish portion (green) is plotted first.
The bearish portion (red) is plotted slightly offset to create a stacked effect.
Multi-Ticker RS vs SPYThis Pine Script, titled "Multi-Ticker RS vs SPY," is a clean and efficient indicator designed for TradingView, enabling traders to monitor the relative strength (RS) of up to 10 ticker symbols compared to the S&P 500 ETF (SPY) on a single chart. Ideal for options traders, such as those managing a $1,400 account, it provides a simple way to assess which stocks are outperforming or underperforming the broader market. As of February 26, 2025, the script supports any chart timeframe, such as 5-minute or daily intervals, and calculates RS based on a user-defined lookback period, defaulting to 1 bar for real-time insights.
Users can input ticker symbols via customizable settings, with defaults set to popular stocks like AAPL, TSLA, NVDA, GOOGL, AMZN, MSFT, FB, NFLX, INTC, and PYPL. The script fetches closing prices for each ticker and SPY, computes their percentage changes over the lookback period, and determines RS as the ratio of each ticker’s change to SPY’s change, handling division by zero gracefully. It displays each ticker’s current RS score in a vertical column of labels on the chart’s top-left corner, updated on the last bar to avoid clutter. Users can adjust label size (tiny, small, normal, large) and text color for visibility, ensuring a tailored, error-free experience for quick market analysis.
Daily True Range (DTR) vs Average True Range (ATR)Overview
The "DTR vs ATR with Color-Coded Percentage" indicator is a powerful volatility analysis tool designed for traders who want to understand daily price movements in the context of historical volatility. It calculates the Daily True Range (DTR)—the raw measure of a single day’s volatility—and compares it to the Average True Range (ATR), which smooths volatility over a user-defined period (default 14 days). The indicator presents this data in an intuitive table, featuring a color-coded percentage that visually represents how the current day’s move (DTR) stacks up against the average volatility (ATR). This helps traders quickly assess whether the current day’s price action is unusually volatile, average, or subdued relative to recent history.
Purpose
Volatility Comparison: Visualize how the current day’s price range (DTR) relates to the average range (ATR) over a specified period.
Decision Support: Identify days with exceptional movement (e.g., breakouts or reversals) versus normal or quiet days, aiding in trade entry/exit decisions.
Risk Management: Gauge daily volatility to adjust position sizing or stop-loss levels based on whether the market is exceeding or falling short of typical movement.
Features
Daily True Range (DTR) Calculation:
Computes the True Range for the current day as the greatest of:
Current day’s High - Low
High - Previous Close
Low - Previous Close
Aggregates data on any timeframe to ensure accurate daily values.
Average True Range (ATR):
Calculates the smoothed average of DTR over a customizable period (default 14 days) using Wilder’s smoothing method.
Updates in real-time as the day progresses.
Timeframe Flexibility: Works on any chart timeframe (e.g., 1-minute, 1-hour) while always calculating DTR and ATR based on daily data.
Color-Coded Display in either compact or table mode
The percentage value is color-coded in the table based on configurable thresholds:
Safe (default 75): Normal range, within typical volatility
Warning: (default 75-125): Above-average volatility.
Danger (default 125): Exceptionally high volatility
Even vs Odd Days Performance█ OVERVIEW
The Even vs Odd Days Performance indicator is designed to visualise and compare the performance of even-numbered days versus odd-numbered days. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between even and odd days.
By calculating cumulative daily performance and counting the number of days with positive returns, it provides a clear snapshot of whether one set of days tends to outperform the other, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for even and odd days separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between even and odd day performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a Daily timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with even days in green and odd days in red.
Even vs Odd Weeks Performance█ OVERVIEW
The Even vs Odd Weeks Performance indicator is designed to visualise and compare the performance of even-numbered weeks versus odd-numbered weeks. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between even and odd weeks.
By calculating cumulative weekly performance and counting the number of weeks with positive returns, it provides a clear snapshot of whether one set of weeks tends to outperform the other, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for even and odd weeks separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between even and odd week performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a Weekly timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with even weeks in green and odd weeks in red.
Bull vs Bear CandlesThe Bull vs Bear Candles indicator helps you analyze market sentiment by counting and comparing bullish and bearish candles. It tracks the number of bullish candles and calculates their percentage, then does the same for bearish candles. Based on this data, the indicator determines whether bulls or bears are in control. Additionally, it counts the total number of candles within the selected range, giving you a clearer picture of price action. Use this tool to quickly assess market trends and make more informed trading decisions. 🚀
Buyers vs SellersBuyers vs Sellers is an indicator which essentially weighs the strength of the buyers against the strength of the sellers. It defines the current relationship between the buyers and the sellers as well as the way that that relationship is changing over time.
User Inputs:
1. Number of Bars To Include In The Calculation - this is the look back period. The amount of past data that is being processed.
2. Length of The ATR - higher values are recommended. This ATR is used as a unit in which the price changes are expressed.
3. Bullish/Bearish Bias Threshold - the minimum value to consider the buyers or the sellers having control of the price.
4. Net Move Average Length - the moving average of the sum of bullish and bearish price changes.
The Calculation Process:
This indicator measures the difference between the opening and the closing prices of each bar in the look back period.
After that it sums together the sizes of the bodies of all the bullish bars and also the sizes of all the bearish bars to create the total bullish price change and total bearish price change for the look back period.
After that it converts the total price changes into percentages of the ATR and divides them by the look back period to get the price change per bar - it is a way of getting the price change values down to less ridiculous numbers regardless of the look back period and while still keeping the proportions intact.
After that it sums the two price changes together to get the net move and performs a simple moving average calculation on it in order to smooth out the values. This is a numerical representation of the relationship between the strength of the bullish and the bearish moves, which is easily readable from the chart.
After that the indicator performs a natural logarithm of the bullish price change divided by the bearish price change. This calculation gives a relationship between the two values which is not tied to the volatility of the instrument, but is expressed purely as a relationship between the strength of one value against the other. The idea is that this would allow for easier comparison across different instruments as the same numbers would represent exactly the same distribution of the strength difference.
The Plotting Logic:
The ATR is plotted as just a number as a reference.
The natural logarithm is presented in two ways.
One way is numerical, to be able to precisely read the value and the colour of the number changes depending if it is positive and above the bias threshold or negative and below the bias threshold.
The other way is in the form of a background colour. It only visualises the bias that can be interpreted based on the logarithm value in relation to the set bias threshold.
The total bullish price change and the total bearish price change are both plotted as a line with the fill between that line and the zero line. This helps visualise the bullish and the bearish moves individually.
The moving average of the sum of the bullish and the bearish moves is added as a line to represent the relationship between the two on a graph and not just as a logarithm.
I hope this indicator will serve you well and help with defining the relationship between the buyers and sellers more objectively, hopefully leading to more profitable trades.
Option vs Index Performance**Indicator Name:** Option vs Index Performance
**Description:**
This indicator helps traders analyze the relative performance of options compared to their underlying index (e.g., Nifty 50). It evaluates and highlights zones based on two key metrics:
1. **Bar-to-Bar Performance:** Compares the percentage movement of the option price against the index movement on a bar-by-bar basis.
- **Green Zone**: Option outperforms the index.
- **Yellow Zone**: Option moves in sync with the index.
- **Red Zone**: Option underperforms the index.
2. **Swing Alignment:** Tracks the swing structure of the index (higher highs, higher lows) and compares it with the option chart. The indicator checks if the option's swings align with or deviate from the index's swing pattern.
The final output combines both conditions, providing clear visual zones below the chart:
- **Green**: Overperformance and alignment with the index.
- **Yellow**: Neutral performance or partial alignment.
- **Red**: Underperformance or misalignment with the index.
Use this tool on option charts to quickly identify opportunities and assess whether the option's movement is in line with the broader market trend.
Global vs National Index Spread RSIThe Global vs National Index Spread RSI indicator visualizes the relative strength of national stock indices compared to a global benchmark (e.g., AMEX). It calculates the percentage spread between the closing prices of each national index and the global index, applying the Relative Strength Index (RSI) to each spread.
How It Works
Spread Calculation: The spread represents the percentage difference between a national index and the global index.
RSI Application: RSI is applied to these spreads to identify overbought or oversold conditions in the relative performance of the national indices.
Reference Lines: Overbought (70), oversold (30), and neutral (50) levels help guide interpretation.
Insights from Research
The correlation between global and national indices provides insights into market integration and interdependence. Studies such as Forbes & Rigobon (2002) emphasize the importance of understanding these linkages during periods of financial contagion. Observing spread trends with RSI can aid in identifying shifts in investor sentiment and regional performance anomalies.
Use Cases
- Detect divergences between national and global markets.
- Identify overbought or oversold conditions for specific indices.
- Complement portfolio management strategies by monitoring geographic performance.
References
Forbes, K. J., & Rigobon, R. (2002). "No contagion, only interdependence: Measuring stock market co-movements." Journal of Finance.
Eun, C. S., & Shim, S. (1989). "International transmission of stock market movements." Journal of Financial and Quantitative Analysis.
