Fear and Greed Indicator [DunesIsland]The Fear and Greed Indicator is a TradingView indicator that measures market sentiment using five metrics. It displays:
Tiny green circles below candles when the market is in "Extreme Fear" (index ≤ 25), signalling potential buys.
Tiny red circles above candles when the market is in "Greed" (index > 75), indicating potential sells.
Purpose: Helps traders spot market extremes for contrarian trading opportunities.Components (each weighted 20%):
Market Momentum: S&P 500 (SPX) vs. its 125-day SMA, normalized over 252 days.
Stock Price Strength: Net NYSE 52-week highs (INDEX:HIGN) minus lows (INDEX:LOWN), normalized.
Put/Call Ratio: 5-day SMA of Put/Call Ratio (USI:PC).
Market Volatility: VIX (VIX), inverted and normalized.
Stochastic RSI: 14-period RSI on SPX with 3-period Stochastic SMA.
Alerts:
Buy: Index ≤ 25 ("Extreme Fear - Potential Buy").
Sell: Index > 75 ("Greed - Potential Sell").
Moving Averages
EMA-Pack MTFEMA-Pack MTF
This TradingView Pine Script defines a custom indicator called "EMA-Pack MTF" that overlays various types of moving averages and Bollinger Bands across multiple timeframes on a chart. It begins by importing the built-in technical analysis library and defining a custom ma function that calculates several types of moving averages (SMA, EMA, TEMA, DEMA, HMA, and ALMA) based on user input. The ema function is the core logic, retrieving market data for the specified timeframe and calculating fast, mid, slow, 50, 100, and 200-period moving averages along with Bollinger Band components (basis, upper, and lower bands). The function adjusts values to the nearest valid price tick and returns them.
User input fields allow customization of timeframes, source data, moving average types, and Bollinger Band parameters. The script calls the ema function for each selected timeframe (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, and 1 day), storing their respective computed values. It then plots the calculated moving averages and Bollinger Band basis lines on the chart, using different colors and line widths to distinguish between them. Some plots are hidden by default (display.none) to reduce chart clutter. This script is useful for multi-timeframe trend analysis using customizable moving averages and Bollinger Bands.
Super Neema!🟧 Super Neema! — Multi-Timeframe EMA-9 Overlay
🔍 What is "Neema"?
The term "Neema" has recently emerged among traders such as Jeff Holden—a top proprietary trading firm trader—whose colleagues colloquially use "Neema" as shorthand for the 9-period Exponential Moving Average (EMA). Due to its increasing popularity and reliability, the phrase caught on quickly as traders needed a quick, memorable name for such an essential tool.
📚 Why the 9-EMA?
Scalping around the 9-EMA is now one of the most widely used intraday trading techniques. Traders of various experience levels frequently rely on it because it effectively highlights short-term momentum shifts.
But there's a crucial nuance: traders across different assets or market periods don't always agree on which timeframe’s 9-EMA to follow. Depending on who's currently active in the market, the dominant "Neema" could be the 1-minute, 2-minute, 3-minute, or 5-minute 9-EMA. This variation arises naturally due to differences in trader populations, risk tolerance, style, and current market conditions.
👥 Social Convention & Normative Social Influence
Trading is fundamentally a social activity, and normative social influence plays a critical role in market behavior. Traders don’t operate in isolation; they follow patterns, respond to cues, and rely on shared conventions. The popularity of any given indicator—like the 9-EMA—is not just technical, but deeply social. Traders adapt to what's socially accepted, recognizable, and effective.
Over time, these conventions shift. What once was "the standard" timeframe can subtly evolve as dominant traders or institutions shift their preferred style or timeframe, creating "variants" of established trends. Understanding this dynamic is essential for market participants because recognizing where the majority of traders currently focus gives a critical edge.
📈 Why Does This Matter? (Market Evolution & Trader Adaptability)
Market trends aren't just technical—they're social constructs. As markets evolve, participants adapt their methods to fit new norms. Traders who recognize and adapt quickly to these evolving norms gain a decisive advantage.
By clearly visualizing multiple Neemas (9-EMAs across timeframes) simultaneously, you don't merely see EMA levels—you visually sense the current social convention of the market. This heightened awareness helps you stay adaptive and flexible, aligning your strategy dynamically with the broader community of traders.
🎨 Transparency Scheme (Visual Identification):
5-minute Neema: Most opaque, brightest line (slowest, most significant trend)
3-minute Neema: Slightly more transparent
2-minute Neema: Even more transparent
1-minute Neema: Most transparent, subtle background hint (fastest, quickest reaction)
This deliberate visual hierarchy makes it intuitive to identify immediately which timeframe is currently dominant, and therefore, which timeframe other traders are using most actively.
✅ Works on:
Any timeframe, any chart. Automatically plots the 1m–5m EMA-9 lines regardless of your current chart.
🧠 Key Insight:
Markets are driven by social trends and normative influence.
Identifying the currently dominant timeframe (the Neema most respected by traders at that moment) is a powerful, socially-informed edge.
Trader adaptability isn't just technical—it's social awareness in action.
Enjoy your trading, and welcome to Super Neema! ⚡
MA Crossover Strategy with TP/SL (5 EMA Filter)How the Strategy Works on a 5-Minute Chart:
Data Input (5-Minute Candles):
Every single data point (candle) on your chart will represent 5 minutes of price action (Open, High, Low, Close for that 5-minute period).
All calculations (MAs, EMA, signals) will be based on these 5-minute price data points.
Moving Average Calculations:
Fast MA (10-period SMA): This will be the Simple Moving Average of the closing prices of the last 10 five-minute candles. It reacts relatively quickly to recent price changes.
Slow MA (30-period SMA): This will be the Simple Moving Average of the closing prices of the last 30 five-minute candles. It represents a slightly longer-term trend compared to the Fast MA.
5 EMA (5-period EMA): This is the Exponential Moving Average of the closing prices of the last 5 five-minute candles. Being an EMA, it gives more weight to the most recent 5-minute prices, making it very responsive to immediate price action.
Signal Generation (Entry Conditions):
Long Entry Signal:
The 10-period SMA crosses above the 30-period SMA (indicating a potential bullish shift in the short-to-medium term trend).
AND the current 5-minute candle's closing price is above the 5-period EMA (confirming that the immediate price momentum is also bullish and supporting the crossover).
If both conditions are met at the close of a 5-minute candle, a "Buy" signal is generated.
Short Entry Signal:
The 10-period SMA crosses below the 30-period SMA (indicating a potential bearish shift).
AND the current 5-minute candle's closing price is below the 5-period EMA (confirming immediate bearish momentum).
If both conditions are met at the close of a 5-minute candle, a "Sell" signal is generated.
Trade Execution:
When a signal is triggered, the strategy enters a trade (long or short) at the closing price of that 5-minute candle.
Immediately upon entry, it places two contingent orders:
Take Profit (Target): Set at 2% (by default) away from your entry price. For a long trade, it's 2% above; for a short trade, 2% below.
Stop Loss: Set at 1% (by default) away from your entry price. For a long trade, it's 1% below; for a short trade, 1% above.
The trade will remain open until either the Take Profit or Stop Loss price is hit by subsequent 5-minute candles.
Implications for Trading on a 5-Minute Chart:
Increased Trade Frequency: You will likely see many more signals and trades compared to higher timeframes (like 1-hour or daily charts). This means more potential opportunities but also more transaction costs (commissions, slippage).
Sensitivity to Noise: Lower timeframes are more prone to "market noise" – small, random price fluctuations that don't indicate a true trend. While the 5 EMA filter helps, some false signals might still occur.
Faster Price Action: Price movements can be very rapid on a 5-minute chart. Your take profit or stop loss levels might be hit very quickly, sometimes within the same or next few candles.
Parameter Optimization is Crucial: The default MA lengths (10, 30) and EMA (5) might not be optimal for every asset or market condition on a 5-minute chart. You'll need to backtest extensively and potentially adjust these lengths, as well as the targetPerc and stopPerc, to find what works best for the specific instrument you're trading.
Risk Management: The fixed percentage stop loss is vital on a 5-minute chart due to its volatility. Without it, a few unfavorable moves could lead to significant losses.
WRAMA Channel (Weighted RSI ATR MA)OVERVIEW
The WRAMA Channel (Weighted RSI ATR MA) is an advanced technical analysis tool designed to react more quickly to price movements compared to indicators using conventional moving averages. It combines the Relative Strength Index (RSI), Average True Range (ATR), and a weighted moving average, resulting in the WRAMA. This indicator forms a dynamic price channel based on a weighted average that incorporates both trend strength (via RSI) and market volatility (via ATR). It helps traders identify trends, potential reversals, and breakout signals, while offering broad customization options.
Key Features
WRAMA Price Channel:
Generates a dynamic channel around the weighted moving average (WRAMA), adapting to market volatility and momentum, similar to Bollinger Bands. Users are encouraged to adjust channel width and length according to their strategy.
The upper and lower channel bands are calculated based on a percentage deviation from the baseline line.
The channel fill color changes depending on the price's position relative to the baseline (green above, red below), with an optional gradient for better visualization.
Weighted Moving Average (WRAMA):
WRAMA is a custom weighted moving average (MA1), where closing prices are weighted based on RSI and ATR, allowing it to dynamically adapt to market conditions.
Baseline: The WRAMA line calculated over a user-defined period.
WRAMA Calculation:
RSI Weight: Based on RSI value. When RSI is in extreme zones (below the lower threshold or above the upper threshold), an extreme weight is applied. Otherwise, the weight is based on the squared RSI value divided by 100, raised to a power defined by the rsi_weight_factor.
ATR Weight: Based on the ATR-to-average-ATR ratio. If ATR exceeds a threshold (atr_threshold × avg_atr), an extreme weight is applied. Otherwise, the weight is based on the squared ratio of ATR to average ATR, raised to the power of the atr_weight_factor.
Combined Weight: RSI and ATR weights are combined using a rsi_atr_balance parameter. Final weight = RSI weight × balance + ATR weight × (1 - balance).
WRAMA Calculation: The closing price is multiplied by the combined weight. The result is averaged over the ma_length period and divided by the average of the weights, forming the WRAMA line. For current WRAMA (ma_length = 1), the calculation simplifies to a single weighted price.
Additional Moving Averages:
For additional confirmations, the indicator supports up to five moving averages (MA1–MA5) with various types (SMA, EMA, WMA, HMA, ALMA) and customizable periods.
All additional MAs are calculated based on WRAMA or its baseline, ensuring consistency and enabling deeper analysis within a unified methodology. MA trend directions can be tracked in a built-in signal table.
Trading Signals:
Breakout Signals: Breakouts above/below the channel are optionally marked with triangle shapes (green for bullish, red for bearish).
MA Signals: Price position relative to MAs or their slope generates bullish/bearish signals. These are optionally visualized with default triangles (green up, red down).
A signal table in the top-right corner summarizes the status of each moving average – bullish, bearish, or neutral.
Customization Options
Channel Settings:
MA Period: Length of the WRAMA baseline (default: 100).
Channel Deviation : Percentage offset from the baseline for upper/lower bands (default: 1.5%).
RSI Settings:
RSI Period: Length of the RSI calculation (default: 14).
RSI Upper/Lower Threshold: Overbought/oversold levels (default: 70/30).
RSI Weight Factor: Influence of RSI on weighting (default: 2.0).
ATR Settings:
ATR Period: ATR calculation length (default: 14).
ATR Threshold: Volatility threshold as a multiple of average ATR (default: 1.5).
ATR Weight Factor: Influence of ATR on weighting (default: 2.0).
RSI & ATR Combined:
Extreme Weight: Weight applied in extreme RSI/ATR conditions (default: 3.0).
RSI/ATR Balance: Balance between RSI and ATR influence (default: 0.5).
Signal Settings:
Show Breakout Signals: Enable/disable breakout triangles.
Show MA Signals: Enable/disable MA-based signals.
MA Signal Source: Choose between current WRAMA or baseline.
MA Signal Analysis: Based on price position or slope.
Neutral Threshold : Minimum distance from MA for signal neutrality (default: 0.5%).
Minimum MA Slope : Minimum slope for trend direction signals (default: 0.01%).
Moving Averages (MA1–MA5):
Options to enable/disable, select type (SMA, EMA, WMA, HMA, ALMA), set period length, and choose color.
Style Settings:
Gradient Fill: Enable/disable gradient coloring within the channel.
Show Baseline: Enable/disable WRAMA baseline visibility.
Colors: Customize line, fill, and signal colors.
Use Cases
Trend Identification: The WRAMA channel highlights trend direction and potential reversal zones when price contacts the channel edges.
Breakout Signals: Channel breakouts may indicate trend shifts or momentum surges.
MA Analysis: The signal table provides a clear summary of market direction (bullish, bearish, or neutral) based on selected moving averages.
Trading Strategies: Suitable for trend-following, mean-reversion, and scalping strategies, depending on user preferences and settings.
Notes
The indicator offers a high degree of flexibility, making it adaptable to various trading styles, instruments, and timeframes.
It is recommended to adjust channel length and width to fit your trading strategy.
Backtesting settings on historical data is advised to optimize parameters for a specific strategy and market.
Multi SMA AnalyzerMulti SMA Analyzer with Custom SMA Table & Advanced Session Logic
A feature-rich SMA analysis suite for traders, offering up to 7 configurable SMAs, in-depth trend detection, real-time table, and true session-aware calculations.
Ideal for those who want to combine intraday, swing, and higher-timeframe trend analysis with maximum chart flexibility.
Key Features
📊 Multi-SMA Overlay
- 7 SMAs (default: 5, 20, 50, 100, 200, 21, 34)—individually configurable (period, source, color, line style)
- Show/hide each SMA, custom line style (solid, stepline, circles), and color logic
- Dynamic color: full opacity above SMA, reduced when below
⏰ Session-Aware SMAs
- Each SMA can be calculated using only user-defined session hours/days/timezone
- “Ignore extended hours” option for accurate intraday trend
📋 Smart Data Table
- Live SMA values, % distance from price, and directional arrows (↑/↓/→)
- Bull/Bear/Sideways trend classification
- Custom table position, size, colors, transparency
- Table can run on chart or custom (higher) timeframe for multi-TF analysis
🎯 Golden/Death Cross Detection
- Flexible crossover engine: select any two from (5, 10, 20, 50, 100, 200) for fast/slow SMA cross signals
- Plots icons (★ Golden, 💀 Death), optional crossover labels with custom size/colors
🏷️ SMA Labels
- Optional on-chart SMA period labels
- Custom placement (above/below/on line), size, color, offset
🚨 Signal & Trend Engine
- Bull/Bear/Sideways logic: price vs. multiple SMAs (not just one pair)
- Volume spike detection (2x 20-period SMA)
- Bullish engulfing candlestick detection
- All signals can use chart or custom table timeframe
🎨 Visual Customization
- Dynamic background color (Bull: green, Bear: red, Neutral: gray)
- Every visual aspect is customizable: label/table colors, transparency, size, position
🔔 Built-in Alerts
- Crossovers (SMA20/50, Golden/Death)
- Bull trend, volume spikes, engulfing pattern—all alert-ready
How It Works
- Session Filtering:
- SMAs can be set to count only bars from your chosen market session, for true intraday/trading-hour signals
Dynamic Table & Signals:
- Table and all signal logic run on your selected chart or custom timeframe
Flexible Crossover:
- Choose any pair (5, 10, 20, 50, 100, 200) for cross detection—SMA 10 is available for crossover even if not shown as an SMA line
Everything is modular:
- Toggle features, set visuals, and alerts to your workflow
🚨 How to Use Alerts
- All key signals (crossovers, trend shifts, volume spikes, engulfing patterns) are available as alert conditions.
To enable:
- Click the “Alerts” (clock) icon at the top of TradingView.
- Select your desired signal (e.g., “Golden Cross”) from the condition dropdown.
- Set your alert preferences and create the alert.
- Now, you’ll get notified automatically whenever a signal occurs!
Perfect For
- Multi-timeframe and swing traders seeking higher timeframe SMA confirmation
- Intraday traders who want to ignore pre/post-market data
- Anyone wanting a modern, powerful, fully customizable multi-SMA overlay
// P.S: Experiment with Golden Cross where Fast SMA is 5 and Slow SMA is 20.
// Set custom timeframe for 4 hr while monitoring your chart on 15 min time frame.
// Enable Background Color and Use Table Timeframe for Background.
// Uncheck Pine labels in Style tab.
Clean, open-source, and loaded with pro features—enjoy!
Like, share, and let me know if you'd like any new features added.
Relative StrengthDescription:
This indicator provides a simplified yet powerful method for measuring a stock's momentum based on its proximity to its recent high. It is a direct implementation of a trading concept discussed in a lecture from the New York Institute of Finance.
Core Concept
The underlying theory, supported by academic research, is that a stock making a new high is one of the most bullish signals possible. Such stocks have a statistical tendency to continue making new highs in the near term.
Instead of requiring complex relative strength calculations against a universe of stocks, this indicator uses a simple and elegant ratio to act as a proxy for momentum:
Indicator Value = Current Close / Highest High of Lookback Period
A value approaching 1.0 indicates the stock is strong and nearing a new high. A value at 1.0 means a new high has just been made.
How to Use This Indicator
The indicator consists of two primary components:
RS Line (Teal): The core momentum calculation (Close / High).
Signal MA (Orange): A moving average of the NHRS Line, which acts as the trigger for signals.
The signals are generated based on the crossover between these two lines:
BUY Signal: When the RS Line crosses ABOVE its moving average. This suggests that short-term momentum is accelerating and a new uptrend may be starting. The background will turn green.
SELL Signal: When the RS Line crosses BELOW its moving average. This indicates that momentum is fading and it may be prudent to exit the position to avoid a decline. The background will turn red.
Indicator Settings
You can customize the indicator to fit your trading style and the timeframe you are analyzing:
High Lookback Period: Choose the period for the "Highest High" calculation. Options range from 1 Month to 12 Months (52 weeks), allowing you to measure short-term or long-term strength.
Moving Average Length: Adjust the length of the signal line's moving average. The lecturer defaults to 26 weeks for a six-month view.
Moving Average Type: Select the type of moving average for the signal line (SMA, EMA, WMA, HMA).
Credits and Inspiration
Proper credit is essential. This script is a practical application of a concept that builds upon foundational academic work.
The core idea that a stock's proximity to its 52-week high is an investable anomaly was detailed in the 2004 Journal of Finance paper:
"The 52 Week High and Momentum Investing" by Thomas J. George and Chuan-Yang Hwang.
The lecturer's contribution, which this script implements, was to simplify this concept into an actionable trading tool by applying a moving average crossover to generate clear and objective buy and sell signals.
Disclaimer: This tool is for educational and informational purposes only. It is not financial advice. All trading involves risk, and you should always perform your own research and backtesting before making any trading decisions.
5 EMA STRATEGY by Power of Stocks(StockYogi)5 EMA STRATEGY by Power of Stocks(StockYogi)
This is a 5 EMA Breakout Strategy inspired by the trading principles taught by Shubhashi Pani, founder of the Power of Stocks (POS) community.
The strategy is designed to:
• Detect breakout setups when price breaks the high/low of a signal candle (based on EMA conditions)
• Enter trades only if the breakout occurs within the next 3 candles
• Allow multiple trades in the same direction without closing the earlier one
• Use independent stop-loss (SL) and take-profit (TP) targets for each trade based on a user-defined risk-reward ratio
• Optionally enter trades only at candle close
• Optionally avoid trades during a custom time window (e.g., 3:00 PM to 3:30 PM IST)
• Optionally close all open positions at a defined time (e.g., 3:30 PM IST)
The goal of this strategy is to provide greater flexibility and realism for intraday or short-term traders following structured breakout systems.
Disclaimer: This script is an implementation of technical ideas for educational purposes only. It is not financial advice. All trading involves risk, and past performance does not guarantee future results.
Strategy Credits:
This strategy is based on publicly known breakout rules taught by Shubhashi Pani (Power of Stocks). This is not an official POS script, and I am not affiliated with the Power of Stocks team. This implementation was developed independently to follow the logic shared for educational use.
Feel free to use, backtest, and modify according to your needs. Constructive feedback is welcome!
ATR Trend Color📌 ATR Trend Color — Visually clean trend-following tool based on adaptive ATR trailing stop
► Description
ATR Trend Color is a simple yet powerful indicator designed to visually identify and follow the market trend using an adaptive ATR-based trailing stop. Its main advantage lies in clarity — it uses just a single line that dynamically changes color based on trend direction:
✅ Blue line indicates price is above the trailing stop (bullish trend).
🔻 Black line indicates price is below the trailing stop (bearish trend).
This clean display allows for instant trend recognition and potential exit or reversal zones.
► How it works
The indicator uses the Average True Range (ATR) to calculate a dynamic trailing stop level. ATR measures volatility and adjusts the trailing line to match current market conditions:
When the price rises, the line moves up and acts as dynamic support.
When the price drops, the line moves down and acts as resistance.
This behavior makes it ideal for trend following and volatility-adjusted stop-loss placement.
► Key Features:
✅ Clean chart with just one ATR trailing line
✅ Dynamic color changes in real-time
✅ Great for trend confirmation and management
✅ Customizable ATR period and multiplier
✅ Step line with diamonds for high visual clarity
► How to use
Add the indicator to your chart.
Adjust ATR period and multiplier to your strategy (default: ATR 7 / multiplier 3.1).
Follow the line color:
Blue: Bullish trend — may signal to stay in long positions.
Black: Bearish trend — may suggest exit or short entries.
► Originality
Unlike typical ATR trailing stop indicators that display two lines or static colors, ATR Trend Color simplifies visualization by using a single smart line with real-time visual feedback on trend direction.
Additionally, it uses the “Step line with diamonds” display mode to enhance readability in fast or noisy markets.
Crypto Narratives: Relative Strength V2Simple Indicator that displays the relative strength of 8 Key narratives against BTC as "Spaghetti" chart. The chart plots an aggregated RSI value for the 5 highest Market Cap cryopto's within each relevant narrative. The chart plots a 14 period SMA RSI for each narrative.
Functionality:
The indicator calculates the average RSI values for the current leading tokens associated with ten different crypto narratives:
- AI (Artificial Intelligence)
- DeFi (Decentralized Finance)
- Memes
- Gaming
- Level 1 (Layer 1 Protocols)
- AI Agents
- Storage/DePin
- RWA (Real-World Assets)
- BTC
Usage Notes:
The 5 crypto coins should be regularly checked and updated (in the script) by overtyping the current values from Rows 24 - 92 to ensure that you are using the up to date list of highest marketcap coins (or coins of your choosing).
The 14 period SMA can be changed in the indicator settings.
The indicator resets every 24 hours and is set to UTC+10. This can be changed by editing the script line 19 and changing the value of "resetHour = 1" to whatever value works for your timezone.
There is also a Rate of Change table that details the % rate of change of each narrative against BTC
Horizontal lines have been included to provide an indication of overbought and oversold levels.
The upper and lower horizontal line (overbought and oversold) can be adjusted through the settings.
The line width, and label offset can be customised through the input options.
Alerts can be set to triggered when a narrative's RSI crosses above the overbought level or below the oversold level. The alerts include the narrative name, RSI value, and the RSI level.
Retracement Bar🔍 Retracement Bar – RB
The Retracement Bar (RB) indicator is designed to highlight potential reversal zones by identifying candles where price shows a clear rejection from the extremes. It helps traders spot moments where institutional inventory rebalancing may be occurring — often a precursor to a strong move in the opposite direction.
RB highlights bars that:
Have a relatively small real body compared to the total candle range.
Show a long wick (upper or lower) that exceeds a user-defined percentage of the candle range.
Suggest a potential rejection of price — upward or downward — based on candle structure.
When these conditions are met, a triangle symbol is plotted:
🔻 Red triangle above a candle suggests a possible short opportunity.
🔺 Green triangle below a candle suggests a possible long opportunity.
This indicator does not repaint and triggers only at candle close.
📈 Example – Long Entry
Signal: A green triangle appears below a candle (suggesting rejection of lower prices).
Steps:
Wait for the current RB candle to close.
On the next candle:
Enter long if price breaks above the high of the RB candle.
Alternatively, wait for a pullback and enter based on confirmation (e.g., bullish engulfing, hammer, trendline bounce).
Place a stop-loss just below the low of the RB candle.
Set a target:
Based on a 2:1 risk-reward ratio.
Or use the next resistance/Fibonacci level.
📉 Example – Short Entry
Signal: A red triangle appears above a candle (suggesting rejection of higher prices).
Steps:
Wait for the current RB candle to close.
On the next candle:
Enter short if price breaks below the low of the RB candle.
Or wait for confirmation (e.g., bearish engulfing, shooting star, breakdown from a level).
Place a stop-loss just above the high of the RB candle.
Set a target:
2:1 risk-reward ratio.
Or the next support/Fibonacci zone.
✅ Recommended Filters for Better Results:
Confluence with support/resistance zones.
Trend alignment or reversal context.
Additional confirmation from price action patterns or oscillators.
Volume analysis for entry strength.
🙏 Acknowledgment
Special thanks to Rob Hoffman for inspiring this concept through his original Inventory Retracement Bar (IRB) idea — this indicator is a reinterpretation meant to visually and practically support discretionary price action traders.
K Bands v2.2K Bands v2 - Settings Breakdown (Timeframe Agnostic)
K Bands v2 is an adaptive volatility envelope tool designed for flexibility across different trading
styles and timeframes.
The settings below allow complete control over how the bands are constructed, smoothed, and how
they respond to market volatility.
1. Upstream MA Type
Controls the core smoothing applied to price before calculating the bands.
Options:
- EMA: Fast, responsive, reacts quickly to price changes.
- SMA: Classic moving average, slower but provides stability.
- Hull: Ultra smooth, reduces noise significantly but may react differently to choppy conditions.
- GeoMean: Geometric mean smoothing, creates a unique, slightly smoother line.
- SMMA: Wilder-style smoothing, balances noise reduction and responsiveness.
- WMA: Weighted Moving Average, emphasizes recent price action for sharper responsiveness.
2. Smoothing Length
Lookback period for the upstream moving average.
- Lower values: Faster reaction, captures short-term shifts.
- Higher values: Smoother trend depiction, filters out noise.
3. Multiplier
Determines the width of the bands relative to calculated volatility.
- Lower multiplier: Tighter bands, more signals, but increased false breakouts.
- Higher multiplier: Wider bands, fewer false signals, more conservative.
4. Downstream MA Type
Applies final smoothing to the band plots after initial calculation.
Same options as Upstream MA.
5. Downstream Smoothing Length
Lookback period for downstream smoothing.
- Lower: More responsive bands.
- Higher: Smoother, visually cleaner bands.
6. Band Width Source
Selects the method used to calculate band width based on market volatility.
Options:
- ATR (Average True Range): Smooth, stable bands based on price range expansion.
- Stdev (Standard Deviation): More reactive bands highlighting short-term volatility spikes.
7. ATR Smoothing Type
Controls how the ATR or Stdev value is smoothed before applying to band width.
Options:
- Wilder: Classic, stable smoothing.
- SMA: Simple moving average smoothing.
- EMA: Faster, more reactive smoothing.
- Hull: Ultra-smooth, noise-reducing smoothing.
- GeoMean: Geometric mean smoothing.
8. ATR Length
Lookback period for smoothing the volatility measurement (ATR or Stdev).
- Lower: More reactive bands, captures quick shifts.
- Higher: Smoother, more stable bands.
9. Dynamic Multiplier Based on Volatility
Allows the band multiplier to adapt automatically to changes in market volatility.
- ON: Bands expand during high volatility and contract during low volatility.
- OFF: Bands remain fixed based on the set multiplier.
10. Dynamic Multiplier Sensitivity
Controls how aggressively the dynamic multiplier responds to volatility changes.
- Lower values: Subtle adjustments.
- Higher values: More aggressive band expansion/contraction.
K Bands v2 is designed to be adaptable across any market or timeframe, helping visualize price
structure, trend, and volatility behavior.
Auto-Length Anchored Multiple EMA (Hour-Based)# Auto-Length Anchored Multiple EMA (Hour-Based)
## Overview
This advanced EMA indicator automatically calculates Exponential Moving Average lengths based on the time elapsed since user-defined anchor dates. Unlike traditional fixed-length EMAs, this indicator dynamically adjusts EMA periods based on actual trading hours, making it ideal for event-based analysis and time-sensitive trading strategies.
## Key Features
### 🎯 **Dual Mode Operation**
- **Auto Mode**: EMA length automatically calculated from anchor date to current time
- **Manual Mode**: Traditional fixed-length EMA calculation
- Switch between modes independently for each EMA
### 📊 **Multiple EMA Support**
- Up to 4 independent EMAs with individual configurations
- Each EMA can have its own anchor date and settings
- Individual enable/disable controls for each EMA
### ⏰ **Smart Time Calculation**
- Accounts for actual trading hours (customizable)
- Weekend exclusion with Saturday trading option (for markets like NSE/BSE)
- Hour multiplier for fine-tuning EMA sensitivity
- Minimum EMA length protection to prevent calculation errors
### 🎨 **Visual Enhancements**
- **Dynamic Fill Colors**: Fill between EMA1 and EMA3 changes color based on price position
- **Customizable Colors**: Individual color settings for each EMA
- **Anchor Visualization**: Optional vertical lines and labels at anchor dates
- **Real-time Table**: Shows current EMA lengths, modes, and values
## Configuration Options
### Trading Session Settings
- **Trading Hours Per Day**: Set your market's trading hours (1-24)
- **Trading Days Per Week**: Configure for different markets (5 for Mon-Fri, 6 for Mon-Sat)
- **Include Saturday**: Enable for markets that trade on Saturday
- **Hour Multiplier**: Fine-tune EMA sensitivity (0.1x to 10x)
### EMA Configuration
- **Anchor Dates**: Set specific start dates for each EMA calculation
- **Manual Lengths**: Override with traditional fixed periods when needed
- **Enable/Disable**: Individual control for each EMA
- **Color Customization**: Personalize appearance for each EMA
### Visual Options
- **Fill Settings**: Toggle and customize fill colors between EMAs
- **Anchor Lines**: Show vertical lines at anchor dates
- **Anchor Labels**: Display formatted anchor date information
- **Length Table**: Real-time display of current EMA parameters
## Use Cases
### 📈 **Event-Based Analysis**
- Anchor EMAs to earnings announcements, policy decisions, or market events
- Track price behavior relative to specific time periods
- Analyze momentum changes from key market catalysts
### 🕐 **Time-Sensitive Trading**
- Perfect for intraday strategies where timing is crucial
- Automatically adjusts to market hours and trading sessions
- Eliminates manual EMA length recalculation
### 🌍 **Multi-Market Support**
- Configurable for different global markets
- Saturday trading support for Asian markets
- Flexible trading hour settings
## Technical Details
### Calculation Method
The indicator calculates trading bars elapsed since anchor date using:
```
Total Trading Bars = (Days Since Anchor × Trading Days Per Week ÷ 7) × Trading Hours Per Day × Hour Multiplier
```
### EMA Formula
Uses standard EMA calculation with dynamically calculated alpha:
```
Alpha = 2 ÷ (Current Length + 1)
EMA = Alpha × Current Price + (1 - Alpha) × Previous EMA
```
### Weekend Handling
- Automatically excludes weekends from calculation
- Optional Saturday inclusion for specific markets
- Accurate trading day counting
## Installation & Setup
1. **Add to Chart**: Apply the indicator to your desired timeframe
2. **Set Anchor Dates**: Configure anchor dates for each EMA you want to use
3. **Adjust Trading Hours**: Set your market's trading session parameters
4. **Customize Appearance**: Choose colors and visual options
5. **Enable Features**: Turn on fills, anchor lines, and information table as needed
## Best Practices
- **Anchor Selection**: Choose significant market events or technical breakouts as anchor points
- **Multiple Timeframes**: Use different anchor dates for short, medium, and long-term analysis
- **Hour Multiplier**: Start with 1.0 and adjust based on market volatility and your trading style
- **Visual Clarity**: Use contrasting colors for different EMAs to improve readability
## Compatibility
- **Pine Script Version**: v6
- **Chart Types**: All chart types supported
- **Timeframes**: Works on all timeframes (optimal on intraday charts)
- **Markets**: Suitable for stocks, forex, crypto, and commodities
## Notes
- Indicator starts calculation from the anchor date forward
- Minimum EMA length prevents calculation errors with very recent anchor dates
- Table display updates in real-time showing current EMA parameters
- Fill colors dynamically change based on price position relative to EMA1
---
*This indicator is perfect for traders who want to combine the power of EMAs with event-driven analysis and precise time-based calculations.*
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment:
Market Momentum (30% weight)
Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA).
A higher value indicates that the market is trading well above its moving average, signaling greed.
Stock Price Strength (20% weight)
Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE.
A greater number of net highs suggests strong market breadth and greed.
Put/Call Options (30% weight)
Uses the 5-day average of the put/call ratio.
A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices.
Market Volatility (20% weight)
Utilizes the VIX index, which measures market volatility.
Lower volatility is associated with greed, as investors are less fearful of large market swings.
Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100:
0–25: Extreme Fear (red)
25–50: Fear (orange)
50–75: Neutral (yellow)
75–100: Greed (green)
Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone.
Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed.
How to Interpret
Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound.
High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction.
Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy.
This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
SMA Crossing Background Color (Multi-Timeframe)When day trading or scalping on lower timeframes, it’s often difficult to determine whether the broader market trend is moving upward or downward. To address this, I usually check higher timeframes. However, splitting the layout makes the charts too small and hard to read.
To solve this issue, I created an indicator that uses the background color to show whether the current price is above or below a moving average from a higher timeframe.
For example, if you set the SMA Length to 200 and the MT Timeframe to 5 minutes, the indicator will display a red background on the 1-minute chart when the price drops below the 200 SMA on the 5-minute chart. This helps you quickly recognize that the trend on the higher timeframe has turned bearish—without having to open a separate chart.
デイトレード、スキャルピングで短いタイムフレームでトレードをするときに、大きな動きは上に向いているのか下に向いているのかトレンドがわからなくなることがあります。
その時に上位足を確認するのですが、レイアウトをスプリットすると画面が小さくて見えにくくなるので、バックグラウンドの色で上位足の移動平均線では価格が上なのか下なのかを表示させるインジケーターを作りました。
例えば、SMA Length で200を選び、MT Timeframeで5分を選べば、1分足タイムフレームでトレードしていて雲行きが怪しくなってくるとBGが赤になり、5分足では200線以下に突入しているようだと把握することができます。
Volume MAs Oscillator | Lyro RSVolume MAs Oscillator | Lyro RS
Overview
The Volume MAs Oscillator is a powerful volume‑adjusted momentum tool that combines custom‑weighted moving averages on volume‑weighted price with smoothed deviation bands. It offers dynamic insights into trend direction, overbought/oversold conditions, and relative valuation — all within a single indicator
Key Features
Volume‑Adjusted Moving Averages: Moving averages can be volume‑weighted using the following formula: a moving average of (Price × Volume) divided by a moving average of Volume. This formula is applied across more than 14 different moving averages; however, it is not used with the VWMA, as VWMA is inherently a volume-weighted moving average.
Percentage Oscillator: Displays the normalized difference: (source – MA) / MA * 100, centered around zero for easy interpretation of strength and direction.
Deviation Bands: Builds upper and lower bands from standard deviation of the oscillator over a selected lookback, with distinct positive/negative multipliers and optional smoothing to reduce noise.
Inputs: Band Length, Band Smoothing, Positive Band Multiplier, Negative Band Multiplier.
Multi‑Mode Signal System:
1. Trend Mode – Colors oscillator according to breaks above (bullish) or below (bearish) respective bands.
2. Reversion Mode – Inverses color logic: signals overextensions beyond bands as reversion opportunities, greys inside the bands.
3. Valuation Mode – Applies a gradient color scale (UpC ⇄ DnC) to reflect relative valuation strength.
Customizable Visuals: Select from 5 pre‑set palettes—Classic, Mystic, Major Themes, Accented, Royal—or define your own custom bullish/bearish colors.
Chart enhancements include color‑coded oscillator line, deviation bands, glow‑effect midline at zero, background shading and candlestick/bar coloring aligned to signal mode.
Built‑In Signals: Automatically plots ▲ oversold and ▼ overbought markers upon crosses of lower/upper bands (in trend or reversion modes), enhancing signal clarity.
How It Works
MA Calculation – Applies the selected MA type to price × volume (normalized by MA of volume) or direct VWMA.
Oscillator Output – Calculates the % difference of source vs. derived MA.
Band Construction – Computes rolling standard deviation; applies user‑defined multipliers; smooths bands with exponential blending.
Mode-Dependent Coloring & Signals –
• Trend: Highlights strength trends via band cross coloring.
• Reversion: Flags extremes beyond bands as potential pullbacks.
• Valuation: Uses gradient to reflect oscillator’s position relative to recent range.
Signal Markers – Deploys arrows and color rules to flag overbought (▼) or oversold (▲) conditions when bands are breached.
Practical Use
Trend Confirmation – In Trend Mode, use upward price_diff cross above upper band as bullish; downward cross below lower band as bearish.
Mean Reversion – In Reversion Mode, fading extremes beyond bands may precede a retracement.
Relative Valuation – Valuation Mode shines when assessing how extended price_diff is, with gradient colors indicating valuation zones.
Bars/candles color‑coded to oscillator state boosts clarity of market tone and allows for rapid visual scanning.
Customization
Adjust MA type/length to tune responsiveness vs. smoothing.
Configure band settings for volatility sensitivity.
Toggle between signal modes for trend-following or reversion strategies.
Stylish visuals: pick or customize color schemes to match your chart setup.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview
This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points.
This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches.
What Makes This Strategy Original
This implementation enhances the traditional Ichimoku system by:
Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions
EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer
State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals
Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud")
Breakout Confirmation: Requires price to break above the 25-period high for long entries
How It Works
Core Components
Ichimoku Elements:
-Conversion Line (Tenkan-sen): 7-period Donchian midpoint
-Base Line (Kijun-sen): 211-period Donchian midpoint
-Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead
-Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead
-Lagging Span (Chikou Span): Current close plotted 41 periods back
EMA Filter: 171-period EMA acts as a long-term trend filter
Entry Logic (Ichi Mode - Default)
A long position is triggered when ALL conditions are met:
Cloud Bullish: Span A > Span B (41 periods ago)
Breakout Confirmation: Current close > 25-period high
Ichimoku Bullish: Conversion Line > Base Line
Trend Alignment: Current close > 171-period EMA
State Memory: No previous buy signal is still active
Exit Logic
Positions are closed when:
Ichimoku Bearish: Conversion Line < Base Line
Alternative Cloud Mode
When "Cloud" mode is selected, the strategy uses:
Entry: Span A crosses above Span B with additional cloud and EMA confirmations
Exit: Span A crosses below Span B with cloud and EMA confirmations
Default Settings Explained
Strategy Properties
Initial Capital: $1,000 (realistic for average traders)
Position Size: 100% of equity (appropriate for backtesting single-asset strategies)
Commission: 0.1% (realistic for most brokers)
Slippage: 3 ticks (accounts for realistic execution costs)
Date Range: January 1, 2018 to December 31, 2069
Key Parameters
Conversion Periods: 7 (faster than traditional 9, more responsive to price changes)
Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation)
Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels)
Displacement: 41 (projects cloud further into future than standard 26)
EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data)
How to Use This Strategy
Best Market Conditions
Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias
Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes
Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets
Risk Management
The strategy uses 100% equity allocation, suitable for backtesting single strategies
Consider reducing position size when implementing with real capital
Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets
Visual Elements
Green/Red Cloud: Shows bullish/bearish cloud conditions
Yellow Line: Conversion Line (Tenkan-sen)
Blue Line: Base Line (Kijun-sen)
Orange Line: 171-period EMA trend filter
Gray Line: Lagging Span (Chikou Span)
Important Considerations
Limitations
Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves
Whipsaw Risk: Extended periods of consolidation may generate false signals
Parameter Sensitivity: Custom parameters may not work equally well across all market conditions
Backtesting Notes
Results are based on historical data and past performance does not guarantee future results
The strategy includes realistic slippage and commission costs
Default settings are optimized for backtesting and may need adjustment for live trading
Risk Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles.
Customization Options
Trade Mode: Switch between "Ichi" and "Cloud" signal generation
Short Trading: Option to enable short positions (disabled by default)
Date Range: Customize backtesting period
All Ichimoku Parameters: Fully customizable for different market conditions
This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Two Poles Trend Finder MTF [BigBeluga]🔵 OVERVIEW
Two Poles Trend Finder MTF is a refined trend-following overlay that blends a two-pole Gaussian filter with a multi-timeframe dashboard. It provides a smooth view of price dynamics along with a clear summary of trend directions across multiple timeframes—perfect for traders seeking alignment between short and long-term momentum.
🔵 CONCEPTS
Two-Pole Filter: A smoothing algorithm that responds faster than traditional moving averages but avoids the noise of short-term fluctuations.
var float f = na
var float f_prev1 = na
var float f_prev2 = na
// Apply two-pole Gaussian filter
if bar_index >= 2
f := math.pow(alpha, 2) * source + 2 * (1 - alpha) * f_prev1 - math.pow(1 - alpha, 2) * f_prev2
else
f := source // Warm-up for first bars
// Shift state
f_prev2 := f_prev1
f_prev1 := f
Trend Detection Logic: Trend direction is determined by comparing the current filtered value with its value n bars ago (shifted comparison).
MTF Alignment Dashboard: Trends from 5 configurable timeframes are monitored and visualized as colored boxes:
• Green = Uptrend
• Magenta = Downtrend
Summary Arrow: An average trend score from all timeframes is used to plot an overall arrow next to the asset name.
🔵 FEATURES
Two-Pole Gaussian Filter offers ultra-smooth trend curves while maintaining responsiveness.
Multi-Timeframe Trend Detection:
• Default: 1H, 2H, 4H, 12H, 1D (fully customizable)
• Each timeframe is assessed independently using the same trend logic.
Visual Trend Dashboard positioned at the bottom-right of the chart with color-coded trend blocks.
Dynamic Summary Arrow shows overall market bias (🢁 / 🢃) based on majority of uptrends/downtrends.
Bold + wide trail plot for the filter value with gradient coloring based on directional bias.
🔵 HOW TO USE
Use the multi-timeframe dashboard to identify aligned trends across your preferred trading horizons.
Confirm trend strength or weakness by observing filter slope direction .
Look for dashboard consensus (e.g., 4 or more timeframes green] ) as confirmation for breakout, continuation, or trend reentry strategies.
Combine with volume or price structure to enhance entry timing.
🔵 CONCLUSION
Two Poles Trend Finder MTF delivers a clean and intuitive trend-following solution with built-in multi-timeframe awareness. Whether you’re trading intra-day or positioning for swing setups, this tool helps filter out market noise and keeps you focused on directional consensus.
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility.
The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals.
Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement.
Background:
Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals.
How to Read:
ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish.
Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought.
Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold.
Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility.
Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders.
Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops.
Settings:
ZLMA Period (20): Adjusts centerline responsiveness.
ATR Period (20): Sets volatility period.
Multiplier (2.0): Controls band width.
If you are still confused between the ZLMA Keltner Channels and Bollinger Bands:
Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection.
Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading.
🧠 How it works:
The strategy identifies pullbacks using a simple moving average (MA).
When price dips below the MA, it begins monitoring for the first green candle (close > open).
That green candle signals a potential bottom, so it adds to the position.
If price goes lower, it waits for the next green candle and adds again.
The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached.
You can adjust:
MA length (defines what’s considered a pullback)
Initial buy % (how much to pre-fill before signals start)
Buy % per signal (after pullback green candle)
Exit % per red candle after ATH
📊 Intended assets & timeframes:
This strategy is designed for broad market indices and long-term appreciating assets, such as:
SPY, NASDAQ, DAX, FTSE
Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading.
⚠️ Important Limitations:
Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH.
Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens).
Slow capital deployment: Entries happen gradually and may take a long time to close.
Not optimized for returns: Buy & hold can outperform this strategy.
No slippage, fees, or funding costs included.
This is not a performance strategy. It’s a teaching tool to show that:
High win rate ≠ high profitability
Patience can be deceiving
Many signals = long capital lock-in
🎓 Why it exists:
The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost.
This script helps visualize that phenomenon.
Price Extension from 8 EMAOverview
This indicator can be used to see how far away the price is from the 8 EMA. It compares this to the Average Daily Range % to see if the stock may be overextended. The "Extension Multiplier" represents how far the stock is extended away from the 8 EMA.
Core Concept
This indicator is best used for breakout trades that are trying to make sure they are not chasing the stock.
How to Use This Indicator
This tool is primarily intended for analyzing daily charts of individual stocks and is often used by breakout traders to evaluate potential entry areas.
If the stock is far away from the 8 EMA, it is likely not ready to break out. If it is close to the 8ema, it could be ready to move higher.
This indicator can also be used in the opposite way. For example, shorting or puts.
Understanding the colors
Green (Not Extended): Indicates the price is close to the 8 EMA. This often corresponds to periods of consolidation.
Yellow (Slightly Extended): The price is beginning to move away from the 8 EMA.
Orange (Extended): The price has moved a considerable distance from the 8 EMA.
Red (Very Extended): The price is at an extreme distance from the 8 EMA, historically increasing the likelihood of a pullback or consolidation.
Settings
Info Row Position: Adjusts the vertical position of the display table on the chart. Useful when using other indicators.
ADR Length: Sets the lookback period for calculating the Average Daily Range. Or the average range % for different timeframes.
Timeframe: Determines the timeframe for the EMA and ADR calculation (the default is Daily).
Rolling Log Returns [BackQuant]Rolling Log Returns
The Rolling Log Returns indicator is a versatile tool designed to help traders, quants, and data-driven analysts evaluate the dynamics of price changes using logarithmic return analysis. Widely adopted in quantitative finance, log returns offer several mathematical and statistical advantages over simple returns, making them ideal for backtesting, portfolio optimization, volatility modeling, and risk management.
What Are Log Returns?
In quantitative finance, logarithmic returns are defined as:
ln(Pₜ / Pₜ₋₁)
or for rolling periods:
ln(Pₜ / Pₜ₋ₙ)
where P represents price and n is the rolling lookback window.
Log returns are preferred because:
They are time additive : returns over multiple periods can be summed.
They allow for easier statistical modeling , especially when assuming normally distributed returns.
They behave symmetrically for gains and losses, unlike arithmetic returns.
They normalize percentage changes, making cross-asset or cross-timeframe comparisons more consistent.
Indicator Overview
The Rolling Log Returns indicator computes log returns either on a standard (1-period) basis or using a rolling lookback period , allowing users to adapt it to short-term trading or long-term trend analysis.
It also supports a comparison series , enabling traders to compare the return structure of the main charted asset to another instrument (e.g., SPY, BTC, etc.).
Core Features
✅ Return Modes :
Normal Log Returns : Measures ln(price / price ), ideal for day-to-day return analysis.
Rolling Log Returns : Measures ln(price / price ), highlighting price drift over longer horizons.
✅ Comparison Support :
Compare log returns of the primary instrument to another symbol (like an index or ETF).
Useful for relative performance and market regime analysis .
✅ Moving Averages of Returns :
Smooth noisy return series with customizable MA types: SMA, EMA, WMA, RMA, and Linear Regression.
Applicable to both primary and comparison series.
✅ Conditional Coloring :
Returns > 0 are colored green ; returns < 0 are red .
Comparison series gets its own unique color scheme.
✅ Extreme Return Detection :
Highlight unusually large price moves using upper/lower thresholds.
Visually flags abnormal volatility events such as earnings surprises or macroeconomic shocks.
Quantitative Use Cases
🔍 Return Distribution Analysis :
Gain insight into the statistical properties of asset returns (e.g., skewness, kurtosis, tail behavior).
📉 Risk Management :
Use historical return outliers to define drawdown expectations, stress tests, or VaR simulations.
🔁 Strategy Backtesting :
Apply rolling log returns to momentum or mean-reversion models where compounding and consistent scaling matter.
📊 Market Regime Detection :
Identify periods of consistent overperformance/underperformance relative to a benchmark asset.
📈 Signal Engineering :
Incorporate return deltas, moving average crossover of returns, or threshold-based triggers into machine learning pipelines or rule-based systems.
Recommended Settings
Use Normal mode for high-frequency trading signals.
Use Rolling mode for swing or trend-following strategies.
Compare vs. a broad market index (e.g., SPY or QQQ ) to extract relative strength insights.
Set upper and lower thresholds around ±5% for spotting major volatility days.
Conclusion
The Rolling Log Returns indicator transforms raw price action into a statistically sound return series—equipping traders with a professional-grade lens into market behavior. Whether you're conducting exploratory data analysis, building factor models, or visually scanning for outliers, this indicator integrates seamlessly into a modern quant's toolbox.
Volume bar range# Volume Bar Range (VBR) Indicator
## Overview
The Volume Bar Range indicator identifies key support and resistance levels based on high-volume price bars. It creates a visual range that represents significant price levels where the market has shown strong interest through volume confirmation.
## Features
### Visual Range Display
- **Blue/Aqua Area**: Shows the price range of the highest volume bar within the lookback period
- **Dynamic Color**: The fill color changes to indicate whether the range is stable (aqua) or newly updated (white)
- **Boundary Lines**: Invisible white lines mark the upper and lower boundaries of the range
### Trading Signals
- **BUY Signal**: Blue upward arrow appears when price breaks above the resistance level with volume confirmation
- **SELL Signal**: Black downward arrow appears when price breaks below the support level with volume confirmation
## How to Use
### Setup
1. Apply the indicator to any chart
2. The indicator automatically identifies the highest volume bar in the last 55 periods
3. The price range of this high-volume bar becomes your support/resistance zone
### Trading Strategy
- **Range Trading**: Trade within the identified support/resistance range
- **Breakout Trading**: Enter positions when price breaks above resistance (BUY) or below support (SELL)
- **Volume Confirmation**: Only take signals when current volume exceeds the 21-period average
### Signal Interpretation
- **BUY Signal**: Price closes above the resistance level with above-average volume
- **SELL Signal**: Price closes below the support level with above-average volume
- **No Signal**: Price remains within the range or volume is insufficient
## Key Parameters
- **Lookback Period**: 55 bars (automatically identifies the highest volume bar)
- **Volume MA**: 21-period simple moving average for volume confirmation
- **Signal Size**: Tiny markers to avoid chart clutter
## Best Practices
- Use on multiple timeframes for confirmation
- Combine with other technical indicators for stronger signals
- Pay attention to the color changes in the range area
- Consider market context and overall trend direction
## Ideal Markets
- Works well on liquid markets with consistent volume patterns
- Effective on stocks, forex, and crypto markets
- Best suited for swing trading and medium-term analysis
This indicator is particularly useful for traders who rely on volume analysis and want to identify key price levels where the market has shown significant interest.
