Repeating Trend HighlighterThis custom indicator helps you see when the current price trend is similar to a past trend over the same number of candles. Think of it like checking whether the market is repeating itself.
You choose three settings:
• Lookback Period: This is how many candles you want to measure. For example, if you set it to 10, it looks at the price change over the last 10 bars.
• Offset Bars Ago: This tells the indicator how far back in time to look for a similar move. If you set it to 50, it compares the current move to what happened 50 bars earlier.
• Tolerance (%): This is how closely the moves must match to be considered similar. A smaller number means you only get a signal if the moves are almost the same, while a larger number allows more flexibility.
When the current price move is close enough to the past move you picked, the background of your chart turns light green. This makes it easy to spot repeating trends without studying numbers manually.
You’ll also see two lines under your chart if you enable them: a blue line showing the percentage change of the current move and an orange line showing the change in the past move. These help you compare visually.
This tool is useful in several ways. You can use it to confirm your trading setups, for example if you suspect that a strong rally or pullback is happening again. You can also use it to filter trades by combining it with other indicators, so you only enter when trends repeat. Many traders use it as a learning tool, experimenting with different lookback periods and offsets to understand how often similar moves happen.
If you are a scalper working on short timeframes, you can set the lookback to a small number like 3–5 bars. Swing traders who prefer daily or weekly charts might use longer lookbacks like 20–30 bars.
Keep in mind that this indicator doesn’t guarantee price will move the same way again—it only shows similarity in how price changed over time. It works best when you use it together with other signals or market context.
In short, it’s like having a simple spotlight that tells you: “This move looks a lot like what happened before.” You can then decide if you want to act on that information.
If you’d like, I can help you tweak the settings or combine it with alerts so it notifies you when these patterns appear.
Indicadores e estratégias
EVaR Indicator and Position SizingThe Problem:
Financial markets consistently show "fat-tailed" distributions where extreme events occur with higher frequency than predicted by normal distributions (Gaussian or even log-normal). These fat tails manifest in sudden price crashes, volatility spikes, and black swan events that traditional risk measures like volatility can underestimate. Standard deviation and conventional VaR calculations assume normally distributed returns, leaving traders vulnerable to severe drawdowns during market stress.
Cryptocurrencies and volatile instruments display particularly pronounced fat-tailed behavior, with extreme moves occurring 5-10 times more frequently than normal distribution models would predict. This reality demands a more sophisticated approach to risk measurement and position sizing.
The Solution: Entropic Value at Risk (EVAR)
EVaR addresses these limitations by incorporating principles from statistical mechanics and information theory through Tsallis entropy. This advanced approach captures the non-linear dependencies and power-law distributions characteristic of real financial markets.
Entropy is more adaptive than standard deviations and volatility measures.
I was inspired to create this indicator after reading the paper " The End of Mean-Variance? Tsallis Entropy Revolutionises Portfolio Optimisation in Cryptocurrencies " by by Sana Gaied Chortane and Kamel Naoui.
Key advantages of EVAR over traditional risk measures:
Superior tail risk capture: More accurately quantifies the probability of extreme market moves
Adaptability to market regimes: Self-calibrates to changing volatility environments
Non-parametric flexibility: Makes less assumptions about the underlying return distribution
Forward-looking risk assessment: Better anticipates potential market changes (just look at the charts :)
Mathematically, EVAR is defined as:
EVAR_α(X) = inf_{z>0} {z * log(1/α * M_X(1/z))}
Where the moment-generating function is calculated using q-exponentials rather than conventional exponentials, allowing precise modeling of fat-tailed behavior.
Technical Implementation
This indicator implements EVAR through a q-exponential approach from Tsallis statistics:
Returns Calculation: Price returns are calculated over the lookback period
Moment Generating Function: Approximated using q-exponentials to account for fat tails
EVAR Computation: Derived from the MGF and confidence parameter
Normalization: Scaled to for intuitive visualization
Position Sizing: Inversely modulated based on normalized EVAR
The q-parameter controls tail sensitivity—higher values (1.5-2.0) increase the weighting of extreme events in the calculation, making the model more conservative during potentially turbulent conditions.
Indicator Components
1. EVAR Risk Visualization
Dynamic EVAR Plot: Color-coded from red to green normalized risk measurement (0-1)
Risk Thresholds: Reference lines at 0.3, 0.5, and 0.7 delineating risk zones
2. Position Sizing Matrix
Risk Assessment: Current risk level and raw EVAR value
Position Recommendations: Percentage allocation, dollar value, and quantity
Stop Parameters: Mathematically derived stop price with percentage distance
Drawdown Projection: Maximum theoretical loss if stop is triggered
Interpretation and Application
The normalized EVAR reading provides a probabilistic risk assessment:
< 0.3: Low risk environment with minimal tail concerns
0.3-0.5: Moderate risk with standard tail behavior
0.5-0.7: Elevated risk with increased probability of significant moves
> 0.7: High risk environment with substantial tail risk present
Position sizing is automatically calculated using an inverse relationship to EVAR, contracting during high-risk periods and expanding during low-risk conditions. This is a counter-cyclical approach that ensures consistent risk exposure across varying market regimes, especially when the market is hyped or overheated.
Parameter Optimization
For optimal risk assessment across market conditions:
Lookback Period: Determines the historical window for risk calculation
Q Parameter: Controls tail sensitivity (higher values increase conservatism)
Confidence Level: Sets the statistical threshold for risk assessment
For cryptocurrencies and highly volatile instruments, a q-parameter between 1.5-2.0 typically provides the most accurate risk assessment because it helps capturing the fat-tailed behavior characteristic of these markets. You can also increase the q-parameter for more conservative approaches.
Practical Applications
Adaptive Risk Management: Quantify and respond to changing tail risk conditions
Volatility-Normalized Positioning: Maintain consistent exposure across market regimes
Black Swan Detection: Early identification of potential extreme market conditions
Portfolio Construction: Apply consistent risk-based sizing across diverse instruments
This indicator is my own approach to entropy-based risk measures as an alterative to volatility and standard deviations and it helps with fat-tailed markets.
Enjoy!
Stochastic Money Flow IndexThe Stochastic Money Flow Index (or Stochastic MFI ), is a variation of the classic Stochastic RSI that uses the Money Flow Index (MFI) rather than the Relative Strength Index (RSI) in its calculation.
While the RSI focuses solely on price momentum, the MFI is a volume-weighted indicator, meaning it incorporates both price and volume data.
The Stochastic MFI is intended to provide a more precise and sensitive reading of the MFI by measuring the level of the MFI relative to its range over a specific period.
Settings
Stochastic Settings
%K Length : The number of periods used to calculate the Stochastic. (Default: 14)
%K Smoothing : The SMA length used to 'smooth' the %K line. (Default: 3)
%D Smoothing : The SMA length used to 'smooth' the %D line. (Default: 1)
Money Flow Index Settings
MFI Length : The number of periods used to calculate the Money Flow Index. (Default: 14)
MFI Source : The source used to calculate the Money Flow Index. (Default: close)
Additional Settings
Show Overbought/Oversold Gradients? : Toggle the display of overbought/oversold gradients. (Default: true)
Volume Data Table (Real-time & Historical Volume Analysis)Volume Data Table (Real-time & Historical Volume Analysis)
Overview:
The Volume Data Table indicator is a powerful tool designed to provide concise, real-time, and historical volume insights directly on your chart. It aggregates critical volume metrics into an organized, customizable table, making it incredibly easy to identify unusual volume activity, sudden surges, or sustained interest in a particular asset.
This indicator is perfect for traders who rely on volume analysis to confirm price movements, spot potential reversals, or gauge market conviction.
Key Features & How It Works:
Real-time Volume Metrics:
The table prominently displays the volume data for the current (last) candle, including:
Time: The precise time of the current candle's close, formatted in IST (Indian Standard Time - UTC+5:30) for your convenience.
Volume: The total volume for the current candle, smartly formatted in K (Thousands) or M (Millions) for readability.
Change % (Chg%): The percentage change in volume compared to the immediately preceding candle. This helps you quickly spot sudden increases or decreases in trading activity.
Vs 4-Avg % (vs4Avg%): The percentage change in volume compared to the average volume of the last 4 preceding candles. This is crucial for identifying volume surges or drops relative to recent historical activity, which can signal significant market events.
Configurable Historical Data:
Beyond the current candle, you can customize how many previous candles' volume data you wish to display. A simple input setting allows you to choose from 1 to 20 historical rows, giving you flexibility to review recent volume trends. Each historical row also provides its own "Change %" and "Vs 4-Avg %" for detailed analysis of past candle activity.
Intuitive Color-Coding:
Percentage change values are intuitively color-coded for instant visual cues:
Green: Indicates a positive (increase) in volume percentage.
Red: Indicates a negative (decrease) in volume percentage.
Clean & Organized Table Display:
The indicator presents all this data in a neat, easy-to-read table positioned at the top-right of your chart. The table automatically adjusts its height based on the number of historical rows you choose, ensuring a compact and efficient use of screen space.
Ideal Use Cases:
Volume Confirmation: Quickly confirm the conviction behind price movements. A strong price move on high "Vs 4-Avg %" volume often indicates higher reliability.
Spotting Abnormal Volume: Identify candles with unusually high or low volume compared to their recent average, which can precede or accompany significant price action.
Momentum Analysis: Understand if buying/selling pressure is increasing or decreasing over recent periods.
Scalping & Day Trading: The real-time updates and concise format make it highly effective for fast-paced short-term decision-making.
Complements Other Indicators: Use it alongside price action, candlestick patterns, or other technical indicators for a more robust analysis.
Customization Options:
Number of Historical Rows: Adjust Number of Historical Rows from 1 to 20 to tailor the depth of your historical volume review.
Important Disclaimer:
This indicator is a technical analysis tool and should be used as part of a comprehensive trading strategy. It is not financial advice. Trading in financial markets involves substantial risk, and you could lose money. Always perform your own research and risk management.
EVWAPThis indicator plots two Volume-Weighted Average Price (VWAP) lines anchored to earnings events:
EVWAP (Earnings Day): Resets VWAP on the day of the earnings release.
EVWAP (Post-Earnings Day): Resets VWAP on the first trading day after earnings.
These earnings-based VWAPs help identify average price zones impacted by earnings, providing insight into post-earnings support/resistance and potential trend shifts. Works on all timeframes.
Useful for traders analyzing price reactions around earnings reports.
Range Bar Gaps DetectorRange Bar Gaps Detector
Overview
The Range Bar Gaps Detector identifies price gaps across multiple range bar sizes (12, 24, 60, and 120) on any trading instrument, helping traders spot potential support/resistance zones or breakout opportunities. Designed for Pine Script v6, this indicator detects gaps on range bars and exports data for use in companion scripts like Range Bar Gaps Overlap, making it ideal for multi-timeframe gap analysis.
Key Features
Multi-Range Gap Detection: Identifies gaps on 12, 24, 60, and 120-range bars, capturing both bullish (gap up) and bearish (gap down) price movements.
Customizable Sensitivity: Includes a user-defined minimum deviation (default: 10% of 14-period SMA) for 12-range gaps to filter out noise.
7-Day Lookback: Automatically prunes gaps older than 7 days to focus on recent, relevant price levels.
Data Export: Serializes up to 10 gaps per range (tops, bottoms, start bars, highest/lowest prices, and age) for seamless integration with overlap analysis scripts.
Debugging Support: Plots gap counts and aggregation data in the Data Window for easy verification of detected gaps.
How It Works
The indicator aggregates price movements to simulate higher range bars (24, 60, 120) from a base range bar chart. It detects gaps when the price jumps significantly between bars, ensuring gaps meet the minimum deviation threshold for 12-range bars. Gaps are stored in arrays, serialized for external use, and pruned after 7 days to maintain efficiency.
Usage
Add to your range bar chart (e.g., 12-range) to detect gaps across multiple ranges.
Use alongside the Range Bar Gaps Overlap indicator to visualize gaps and their overlaps as boxes on the chart.
Check the Data Window to confirm gap counts and sizes for each range (12, 24, 60, 120).
Adjust the "Minimal Deviation (%) for 12-Range" input to control gap detection sensitivity.
Settings
Minimal Deviation (%) for 12-Range: Set the minimum gap size for 12-range bars (default: 10% of 14-period SMA).
Range Sizes: Fixed at 24, 60, and 120 for higher range bar aggregation.
Notes
Ensure the script is published under your TradingView username (e.g., GreenArrow2005) for use with companion scripts.
Best used on range bar charts to maintain consistent gap detection.
For advanced overlap analysis, pair with the Range Bar Gaps Overlap indicator to highlight zones where gaps from different ranges align.
Ideal For
Traders seeking to identify key price levels for support/resistance or breakout strategies.
Multi-timeframe analysts combining gap data across various range bar sizes.
Developers building custom indicators that leverage gap data for advanced charting.
H turnoverTrading Value refers to the total monetary amount of all transactions for a particular stock or the entire market over a specific period. It is calculated by multiplying the trading volume (the number of shares traded) by the price at which they were traded. For example, if 10,000 shares of a stock are traded in a day at an average price of 50,000 KRW, the trading value for that day would be 500,000,000 KRW.
Key points about trading value:
Market Activity and Liquidity: A high trading value indicates an active and liquid market.
Flow of Investment Funds: Increasing trading value suggests more money is flowing into the market or a particular stock.
Relationship with Price Movements: When both trading value and price rise together, it often signals strong buying interest. Conversely, significant price changes with low trading value may be less reliable.
Market Sentiment Indicator: Changes in trading value can reflect shifts in investor interest and sentiment.
In summary, trading value is the total amount of money exchanged in trades and serves as an important indicator of market activity, liquidity, and investor sentiment.
H BollingerBollinger Bands are a widely used technical analysis indicator that helps spot relative price highs and lows. The tool comprises three lines: a central band representing the 20-period simple moving average (SMA), and upper and lower bands usually placed two standard deviations above and below the SMA. These bands adjust with market volatility, offering insights into price fluctuations and trading conditions.
How this indicator works
Bollinger Bands helps traders assess price volatility and potential price reversals. They consist of three bands: the middle band, the upper band, and the lower band. Here's how Bollinger Bands work:
Middle band: This is typically a simple moving average (SMA) of the asset's price over a specified period. The most common period used is 20 days.
Upper band: This is calculated by adding a specified number of standard deviations to the middle band. The standard deviation measures the asset's price volatility. Commonly, two standard deviations are added to the middle band.
Lower band: Similar to the upper band, it is calculated by subtracting a specified number of standard deviations from the middle band.
What do Bollinger Bands tell you?
Bollinger bands primarily indicate the level of market volatility and trading opportunities. Narrow bands indicate low market volatility, while wide bands suggest high market volatility. Bollinger bands indicators can be used by traders to assess potential buy or sell signals. For instance, a sell signal may be interpreted or generated if the asset’s price moves closer or crosses the upper band, as it may indicate that the asset is overbought. Alternatively, a buy signal may be interpreted or generated if the price moves closer to the lower band, as it may signify that the asset is oversold.
However, traders should be cautious when using Bollinger Bands as standalone indicators when making trading decisions. Experienced traders refrain from confirming signals based on one indicator. Instead, they generally combine various technical indicators and fundamental analysis methods to make informed trading decisions. Basing trading decisions on only one indicator can result in misinterpretation of signals and heavy losses.
Bollinger Bands assist in identifying whether prices are relatively high or low. They are applied as a pair—upper and lower bands—alongside a moving average. However, these bands are not designed to be used in isolation. Instead, they should be used to validate signals generated by other technical indicators.
Calculation of Bollinger Band
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.*
Enhanced Gann Time-Price SquaresEnhanced Gann Time-Price Squares Indicator
A comprehensive Pine Script indicator that identifies and visualizes W.D. Gann's time-price square formations on your charts. This tool helps traders spot potential market turning points where time and price movements align according to Gann's legendary market theories.
Key Features:
Automatic Square Detection - Identifies completed squares where price movement equals time movement
Future Projections - Shows forming squares with projected completion points
Pivot Integration - Automatically detects pivot highs/lows as square starting points
Visual Clarity - Clean box outlines with customizable colors and styles
Smart Filtering - Prevents overlapping squares and includes minimum move thresholds
Real-time Status - Information table showing current square formations
How to Use:
The indicator draws boxes when price moves from pivot points equal the time elapsed (number of bars). Green squares indicate upward movements, red squares show downward movements. Dashed lines show forming squares, while dotted lines project where they might complete.
Settings:
Adjust pivot sensitivity and minimum price moves
Customize tolerance for time-price matching
Toggle projections, labels, and visual elements
Fine-tune colors and line styles
Perfect for Gann theory practitioners and traders looking for time-based market analysis. The squares often coincide with significant support/resistance levels and potential reversal points.
Compatible with all timeframes and instruments.
More updates to follow
Weekly Volume USDT## Description
This Pine Script indicator displays the trading volume for each day of the current week (Monday through Sunday) in a clean table format on your TradingView chart. The volume is calculated in USDT equivalent and displayed in the top-right corner of the chart.
## Features
- **Weekly Volume Breakdown**: Shows individual daily volumes from Monday to Sunday
- **USDT Conversion**: Automatically converts volume to USDT using the average price (open + close / 2)
- **Smart Formatting**:
- Large numbers are formatted with K (thousands) and M (millions) suffixes
- Example: 1,234,567 → 1.23M USDT
- **Clean Table Display**: Fixed position table in the top-right corner
- **Current Week Focus**: Displays volumes for the current week only
- **Future Days Handling**: Days that haven't occurred yet in the current week show as "-"
## How It Works
1. The indicator calculates the average price for each day using (Open + Close) / 2
2. Multiplies the daily volume by the average price to get USDT-equivalent volume
3. Displays the results in an easy-to-read table format
## Use Cases
- **Volume Analysis**: Quickly identify which days of the week have the highest trading activity
- **Pattern Recognition**: Spot weekly volume patterns and trends
- **Trading Decisions**: Use volume information to inform your trading strategies
- **Market Activity Monitoring**: Keep track of market participation throughout the week
## Installation
Simply add this indicator to your TradingView chart and it will automatically display the weekly volume table in the top-right corner.
## Tags
#volume #weekly #USDT #table #analysis #trading #cryptocurrency
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.
Advanced Currency Strength Meter# Advanced Currency Strength Meter (ACSM)
The Advanced Currency Strength Meter (ACSM) is a scientifically-based indicator that measures relative currency strength using established academic methodologies from international finance and behavioral economics. This indicator provides traders with a comprehensive view of currency market dynamics through multiple analytical frameworks.
### Theoretical Foundation
#### 1. Purchasing Power Parity (PPP) Theory
Based on Cassel's (1918) seminal work and refined by Froot & Rogoff (1995), PPP suggests that exchange rates should reflect relative price levels between countries. The ACSM momentum component captures deviations from long-term equilibrium relationships, providing insights into currency misalignments.
#### 2. Uncovered Interest Rate Parity (UIP) and Carry Trade Theory
Building on Fama (1984) and Lustig et al. (2007), the indicator incorporates volatility-adjusted momentum to capture carry trade flows and interest rate differentials that drive currency strength. This approach helps identify currencies benefiting from interest rate differentials.
#### 3. Behavioral Finance and Currency Momentum
Following Burnside et al. (2011) and Menkhoff et al. (2012), the model recognizes that currency markets exhibit persistent momentum effects due to behavioral biases and institutional flows. The indicator captures these momentum patterns for trading opportunities.
#### 4. Portfolio Balance Theory
Based on Branson & Henderson (1985), the relative strength matrix captures how portfolio rebalancing affects currency cross-rates and creates trading opportunities between different currency pairs.
### Technical Implementation
#### Core Methodologies:
- **Z-Score Normalization**: Following Sharpe (1994), provides statistical significance testing without arbitrary scaling
- **Momentum Analysis**: Uses return-based metrics (Jegadeesh & Titman, 1993) for trend identification
- **Volatility Adjustment**: Implements Average True Range methodology (Wilder, 1978) for risk-adjusted strength
- **Composite Scoring**: Equal-weight methodology to avoid overfitting and maintain robustness
- **Correlation Analysis**: Risk management framework based on Markowitz (1952) portfolio theory
#### Key Features:
- **Multi-Source Data Integration**: Supports OANDA, Futures, and CFD data sources
- **Scientific Methodology**: No arbitrary scaling or curve-fitting; all calculations based on established statistical methods
- **Comprehensive Dashboard**: Clean, professional table showing currency strengths and best trading pairs
- **Alert System**: Automated notifications for strong/weak currency conditions and extreme values
- **Best Pair Identification**: Algorithmic detection of highest-potential trading opportunities
### Practical Applications
#### For Swing Traders:
- Identify currencies in strong uptrends or downtrends
- Select optimal currency pairs based on relative strength divergence
- Time entries based on momentum convergence/divergence
#### For Day Traders:
- Use with real-time futures data for intraday opportunities
- Monitor currency correlations for risk management
- Detect early reversal signals through extreme value alerts
#### For Portfolio Managers:
- Multi-currency exposure analysis
- Risk management through correlation monitoring
- Strategic currency allocation decisions
### Visual Design
The indicator features a clean, professional dashboard that displays:
- **Currency Strength Values**: Each major currency (EUR, GBP, JPY, CHF, AUD, CAD, NZD, USD) with color-coded strength values
- **Best Trading Pairs**: Filtered list of highest-potential currency pairs with BUY/SELL signals
- **Market Analysis**: Real-time identification of strongest and weakest currencies
- **Potential Score**: Quantitative measure of trading opportunity strength
### Data Sources and Latency
The indicator supports multiple data sources to accommodate different trading needs:
- **OANDA (Delayed)**: Free data with 15-20 minute delay, suitable for swing trading
- **Futures (Real-time)**: CME currency futures for real-time analysis
- **CFDs**: Alternative real-time data source option
### Mathematical Framework
#### Strength Calculation:
Momentum = (Price - Price ) / Price * 100
Z-Score = (Price - Mean) / Standard Deviation
Volatility-Adjusted = Momentum / ATR-based Volatility
Composite = 0.5 * Momentum + 0.3 * Z-Score + 0.2 * Volatility-Adjusted
#### USD Strength Derivation:
USD strength is calculated as the weighted average of all USD-based pairs, providing a true baseline for relative strength comparison.
### Performance Considerations
The indicator is optimized for:
- **Computational Efficiency**: Uses Pine Script v6 best practices
- **Memory Management**: Appropriate lookback periods and array handling
- **Visual Clarity**: Clean table design optimized for both light and dark themes
- **Alert Reliability**: Robust signal generation with statistical significance testing
### Limitations and Risk Disclosure
- Model performance may vary during extreme market stress (Black Swan events)
- Requires stable data feeds for accurate calculations
- Not optimized for high-frequency scalping strategies
- Central bank interventions may temporarily distort signals
- Performance assumes normal market conditions with behavioral adjustments
### Academic References
- Branson, W. H., & Henderson, D. W. (1985). "The Specification and Influence of Asset Markets"
- Burnside, C., Eichenbaum, M., & Rebelo, S. (2011). "Carry Trade and Momentum in Currency Markets"
- Cassel, G. (1918). "Abnormal Deviations in International Exchanges"
- Fama, E. F. (1984). "Forward and Spot Exchange Rates"
- Froot, K. A., & Rogoff, K. (1995). "Perspectives on PPP and Long-Run Real Exchange Rates"
- Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers"
- Lustig, H., Roussanov, N., & Verdelhan, A. (2007). "Common Risk Factors in Currency Markets"
- Markowitz, H. (1952). "Portfolio Selection"
- Menkhoff, L., Sarno, L., Schmeling, M., & Schrimpf, A. (2012). "Carry Trades and Global FX Volatility"
- Sharpe, W. F. (1994). "The Sharpe Ratio"
- Wilder, J. W. (1978). "New Concepts in Technical Trading Systems"
### Usage Instructions
1. **Setup**: Add the indicator to your chart and select your preferred data source
2. **Currency Selection**: Choose which currencies to analyze (default: all major currencies)
3. **Methodology**: Select calculation method (Composite recommended for most users)
4. **Monitoring**: Watch the dashboard for strength changes and best pair opportunities
5. **Alerts**: Set up notifications for strong/weak currency conditions
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.
Divergence Screener [Trendoscope®]🎲Overview
The Divergence Screener is a powerful TradingView indicator designed to detect and visualize bullish and bearish divergences, including hidden divergences, between price action and a user-selected oscillator. Built with flexibility in mind, it allows traders to customize the oscillator type, trend detection method, and other parameters to suit various trading strategies. The indicator is non-overlay, displaying divergence signals directly on the oscillator plot, with visual cues such as lines and labels on the chart for easy identification.
This indicator is ideal for traders seeking to identify potential reversal or continuation signals based on price-oscillator divergences. It supports multiple oscillators, trend detection methods, and alert configurations, making it versatile for different markets and timeframes.
🎲Features
🎯Customizable Oscillator Selection
Built-in Oscillators : Choose from a variety of oscillators including RSI, CCI, CMO, COG, MFI, ROC, Stochastic, and WPR.
External Oscillator Support : Users can input an external oscillator source, allowing integration with custom or third-party indicators.
Configurable Length : Adjust the oscillator’s period (e.g., 14 for RSI) to fine-tune sensitivity.
🎯Divergence Detection
The screener identifies four types of divergences:
Bullish Divergence : Price forms a lower low, but the oscillator forms a higher low, signaling potential upward reversal.
Bearish Divergence : Price forms a higher high, but the oscillator forms a lower high, indicating potential downward reversal.
Bullish Hidden Divergence : Price forms a higher low, but the oscillator forms a lower low, suggesting trend continuation in an uptrend.
Bearish Hidden Divergence : Price forms a lower high, but the oscillator forms a higher high, suggesting trend continuation in a downtrend.
🎯Flexible Trend Detection
The indicator offers three methods to determine the trend context for divergence detection:
Zigzag : Uses zigzag pivots to identify trends based on higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL).
MA Difference : Calculates the trend based on the difference in a moving average (e.g., SMA, EMA) between divergence pivots.
External Trend Signal : Allows users to input an external trend signal (positive for uptrend, negative for downtrend) for custom trend analysis.
🎯Zigzag-Based Pivot Analysis
Customizable Zigzag Length : Adjust the zigzag length (default: 13) to control the sensitivity of pivot detection.
Repaint Option : Choose whether divergence lines repaint based on the latest data or wait for confirmed pivots, balancing responsiveness and reliability.
🎯Visual and Alert Features
Divergence Visualization : Divergence lines are drawn between price pivots and oscillator pivots, color-coded for easy identification:
Bullish Divergence : Green
Bearish Divergence : Red
Bullish Hidden Divergence : Lime
Bearish Hidden Divergence : Orange
Labels and Tooltips : Labels (e.g., “D” for divergence, “H” for hidden) appear on price and oscillator pivots, with tooltips providing detailed information such as price/oscillator values, ratios, and pivot directions.
Alerts : Configurable alerts for each divergence type (bullish, bearish, bullish hidden, bearish hidden) trigger on bar close, ensuring timely notifications.
🎲 How It Works
🎯Oscillator Calculation
The indicator calculates the selected oscillator (or uses an external source) and plots it on the chart.
Oscillator values are stored in a map for reference during divergence calculations.
🎯Pivot Detection
A zigzag algorithm identifies pivots in the oscillator data, with configurable length and repainting options.
Price and oscillator pivots are compared to detect divergences based on their direction and ratio.
🎯Divergence Identification
The indicator compares price and oscillator pivot directions (HH, HL, LH, LL) to identify divergences.
Trend context is determined using the selected method (Zigzag, MA Difference, or External).
Divergences are classified as bullish, bearish, bullish hidden, or bearish hidden based on price-oscillator relationships and trend direction.
🎯Visualization and Alerts
Valid divergences are drawn as lines connecting price and oscillator pivots, with corresponding labels.
Alerts are triggered for allowed divergence types, providing detailed information via tooltips.
🎯Validation
Divergence lines are validated to ensure no intermediate bars violate the divergence condition, enhancing signal reliability.
🎲 Usage Instructions as Indicator
🎯Add to Chart:
Add the “Divergence Screener ” to your TradingView chart.
The indicator appears in a separate pane below the price chart, plotting the oscillator and divergence signals.
🎯Configure Settings:
Adjust the oscillator type and length to match your trading style.
Select a trend detection method and configure related parameters (e.g., MA type/length or external signal).
Set the zigzag length and repainting preference.
Enable/disable alerts for specific divergence types.
I🎯nterpret Signals:
Bullish Divergence (Green) : Look for potential buy opportunities in a downtrend.
Bearish Divergence (Red) : Consider sell opportunities in an uptrend.
Bullish Hidden Divergence (Lime) : Confirm continuation in an uptrend.
Bearish Hidden Divergence (Orange): Confirm continuation in a downtrend.
Use tooltips on labels to review detailed pivot and divergence information.
🎯Set Alerts:
Create alerts for each divergence type to receive notifications via TradingView’s alert system.
Alerts include detailed text with price, oscillator, and divergence information.
🎲 Example Scenarios as Indicator
🎯 With External Oscillator (Use MACD Histogram as Oscillator)
In order to use MACD as an oscillator for divergence signal instead of the built in options, follow these steps.
Load MACD Indicator from Indicator library
From Indicator settings of Divergence Screener, set Use External Oscillator and select MACD Histograme from the dropdown
You can now see that the oscillator pane shows the data of selected MACD histogram and divergence signals are generated based on the external MACD histogram data.
🎯 With External Trend Signal (Supertrend Ladder ATR)
Now let's demonstrate how to use external direction signals using Supertrend Ladder ATR indicator. Please note that in order to use the indicator as trend source, the indicator should return positive integer for uptrend and negative integer for downtrend. Steps are as follows:
Load the desired trend indicator. In this example, we are using Supertrend Ladder ATR
From the settings of Divergence Screener, select "External" as Trend Detection Method
Select the trend detection plot Direction from the dropdown. You can now see that the divergence signals will rely on the new trend settings rather than the built in options.
🎲 Using the Script with Pine Screener
The primary purpose of the Divergence Screener is to enable traders to scan multiple instruments (e.g., stocks, ETFs, forex pairs) for divergence signals using TradingView’s Pine Screener, facilitating efficient comparison and identification of trading opportunities.
To use the Divergence Screener as a screener, follow these steps:
Add to Favorites : Add the Divergence Screener to your TradingView favorites to make it available in the Pine Screener.
Create a Watchlist : Build a watchlist containing the instruments (e.g., stocks, ETFs, or forex pairs) you want to scan for divergences.
Access Pine Screener : Navigate to the Pine Screener via TradingView’s main menu: Products -> Screeners -> Pine, or directly visit tradingview.com/pine-screener/.
Select Watchlist : Choose the watchlist you created from the Watchlist dropdown in the Pine Screener interface.
Choose Indicator : Select Divergence Screener from the Choose Indicator dropdown.
Configure Settings : Set the desired timeframe (e.g., 1 hour, 1 day) and adjust indicator settings such as oscillator type, zigzag length, or trend detection method as needed.
Select Filter Criteria : Select the condition on which the watchlist items needs to be filtered. Filtering can only be done on the plots defined in the script.
Run Scan : Press the Scan button to display divergence signals across the selected instruments. The screener will show which instruments exhibit bullish, bearish, bullish hidden, or bearish hidden divergences based on the configured settings.
🎲 Limitations and Possible Future Enhancements
Limitations are
Custom input for oscillator and trend detection cannot be used in pine screener.
Pine screener has max 500 bars available.
Repaint option is by default enabled. When in repaint mode expect the early signal but the signals are prone to repaint.
Possible future enhancements
Add more built-in options for oscillators and trend detection methods so that dependency on external indicators is limited
Multi level zigzag support
RSI For LoopTitle: RSI For Loop
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a sophisticated tool designed to identify overbought and oversold conditions using a customizable Relative Strength Index (RSI). By averaging RSI over a user-defined lookback period, this indicator provides clear visual signals for bullish and bearish market conditions. The RSI line and price bars are dynamically colored to highlight momentum, making it easier for traders to spot potential trading opportunities.
How It Works
RSI Calculation:
Computes RSI based on a user-selected price source (Close, High, Low, or Open) with a configurable length (default: 5). Optional moving average smoothing refines the RSI signal for smoother analysis.
Lookback Averaging:
Averages the RSI over a user-defined lookback period (default: 5) to generate a stable momentum indicator, reducing noise and enhancing signal reliability.
Threshold-Based Signals:
Long Signal: Triggered when the averaged RSI exceeds the upper threshold (default: 52), indicating overbought conditions.
Short Signal: Triggered when the averaged RSI falls below the lower threshold (default: 48), indicating oversold conditions.
Visual Representation
The indicator provides a clear and customizable visual interface: Green RSI Line and Bars: Indicate overbought conditions when the averaged RSI surpasses the upper threshold, signaling potential long opportunities.
Red RSI Line and Bars: Indicate oversold conditions when the averaged RSI drops below the lower threshold, signaling potential short opportunities.
Neutral Gray RSI Line: Represents RSI values between thresholds for neutral market conditions.
Threshold Lines: Dashed gray lines mark the upper and lower thresholds on the RSI panel for easy reference.
Customization & Parameters
The RSI with Threshold Colors and Bar Coloring indicator offers flexible parameters to suit
various trading styles: Source: Select the input price (default: Close; options: Close, High, Low, Open).
RSI Length: Adjust the RSI calculation period (default: 5).
Smoothing: Enable/disable moving average smoothing (default: enabled) and set the smoothing length (default: 10).
Moving Average Type: Choose from multiple types (SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HMA, LSMA, ALMA; default: ALMA).
ALMA Sigma: Configure the ALMA smoothing parameter (default: 5).
Lookback Period: Set the period for averaging RSI (default: 5).
Thresholds: Customize the upper (default: 52) and lower (default: 48) thresholds for signal generation.
Color Settings: Transparent green and red colors (70% transparency) for bullish and bearish signals, with gray for neutral states.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies: Momentum Trading: Highlights strong overbought or oversold conditions for potential entry or exit points.
Trend Confirmation: Use bar coloring to confirm RSI-based signals with price action on the main chart.
Reversal Detection: Identify potential reversals when RSI crosses the customizable thresholds.
Scalping and Swing Trading: Adjust parameters (e.g., RSI length, lookback) to suit short-term or longer-term strategies.
Final Note
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a powerful tool for traders seeking to leverage RSI for momentum and reversal opportunities. Its combination of lookback-averaged RSI, dynamic threshold signals, and synchronized RSI and bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Institutional Momentum Scanner [IMS]Institutional Momentum Scanner - Professional Momentum Detection System
Hunt explosive price movements like the professionals. IMS identifies maximum momentum displacement within 10-bar windows, revealing where institutional money commits to directional moves.
KEY FEATURES:
▪ Scans for strongest momentum in rolling 10-bar windows (institutional accumulation period)
▪ Adaptive filtering reduces false signals using efficiency ratio technology
▪ Three clear states: LONG (green), SHORT (red), WAIT (gray)
▪ Dynamic volatility-adjusted thresholds (8% ATR-scaled)
▪ Visual momentum flow with glow effects for signal strength
BASED ON:
- Pocket Pivot concept (O'Neil/Morales) applied to price momentum
- Adaptive Moving Average principles (Kaufman KAMA)
- Market Wizards momentum philosophy
- Institutional order flow patterns (5-day verification window)
HOW IT WORKS:
The scanner finds the maximum price displacement in each 10-bar window - where the market showed its hand. An adaptive filter (5-bar regression) separates real moves from noise. When momentum exceeds the volatility-adjusted threshold, states change.
IDEAL FOR:
- Momentum traders seeking explosive moves
- Swing traders (especially 4H timeframe)
- Position traders wanting institutional footprints
- Anyone tired of false breakout signals
Default parameters (10,5) optimized for 4H charts but adaptable to any timeframe. Remember: The market rewards patience and punishes heroes. Wait for clear signals.
"The market is honest. Are you?"
First Opposite Candle After 3+ (Yellow & Streak Alerts)This overlay tracks consecutive candle direction: when three or more bars run the same way, the very next opposite-color candle is spotlighted in yellow. Two built-in alert events keep you hands-free:
“First Opposite Candle After 3+” – fires the moment that yellow reversal prints.
“3+ Candle Streak” – pings every bar while a bullish-or-bearish run is ≥ 3 candles long.
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart.
The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions.
How to Use the Indicator
Step 1: Configure Your Settings
Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00)
Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500)
Contract Type: Choose between:
NQ (Regular): $5 per tick - for larger accounts
MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing
Display Options:
Max Lines: Number of distance lines to show (default: 30)
Show Labels: Toggle tick distance and contract count labels
Line Color: Customize the color of distance lines
Label Size: Choose tiny, small, or normal label sizes
Step 2: Read the Visual Display
Once configured, the indicator displays:
Stop Loss Line:
Thick yellow line marking your exact stop loss level
Yellow label showing the stop loss price
Distance Lines:
Dashed red lines at 10-tick intervals above and below your stop loss
Lines appear on both sides for long and short position planning
Labels (if enabled):
Green labels (right side): For long positions above your stop loss
Red labels (left side): For short positions below your stop loss
Format: "20T 5x" means 20 ticks distance, 5 contracts maximum
Step 3: Use the Information Tables
The indicator provides two helpful tables:
Position Size Table (top-right):
Shows common tick distances (10, 20, 40, 80, 160 ticks)
Displays risk per contract at each distance
Contract count for your specified risk amount
Total risk with rounded contract numbers
Settings Table (bottom-right):
Confirms your current risk amount
Shows selected contract type
Displays current settings for quick reference
Step 4: Apply to Your Trading
For Long Positions:
Look at the green labels on the right side of your chart
Find your desired entry level
Read the label to see: distance in ticks and maximum contracts
Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum
For Short Positions:
Look at the red labels on the left side of your chart
Find your desired entry level
Read the label for tick distance and contract count
Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum
Step 5: Trading Execution
Before Entering a Trade:
Identify your stop loss level and input it into the indicator
Choose your entry point by looking at the distance lines
Note the contract count from the corresponding label
Verify the risk amount matches your trading plan
Execute your trade with the calculated position size
Risk Management Features:
Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit
Zero position filtering: Lines only show where position size is at least 1 contract
Dual-sided display: Plan both long and short opportunities simultaneously
Trend Tracker ProTrend Tracker Pro - Advanced Trend Following Indicator
Overview
Trend Tracker Pro is a sophisticated trend-following indicator that combines the power of Exponential Moving Average (EMA) and Average True Range (ATR) to identify market trends and generate precise buy/sell signals. This indicator is designed to help traders capture trending moves while filtering out market noise.
🎯 Key Features
✅ Dynamic Trend Detection
Uses EMA and ATR-based bands to identify trend direction
Automatically adjusts to market volatility
Clear visual trend line that changes color based on market direction
✅ Precise Signal Generation
Buy signals when trend changes to bullish
Sell signals when trend changes to bearish
Reduces false signals by requiring actual trend changes
✅ Visual Clarity
Green trend line: Bullish trend
Red trend line: Bearish trend
Gray trend line: Sideways/neutral trend
Triangle arrows for buy/sell signals
Clear BUY/SELL text labels
✅ Customizable Settings
Trend Length: Adjustable period for EMA and ATR calculation (default: 14)
ATR Multiplier: Controls sensitivity of trend bands (default: 2.0)
Show/Hide Signals: Toggle signal arrows on/off
Show/Hide Labels: Toggle text labels on/off
✅ Built-in Information Panel
Real-time trend direction display
Current trend level value
ATR value for volatility reference
Last signal information
✅ TradingView Alerts
Buy signal alerts
Sell signal alerts
Customizable alert messages
🔧 How It Works
Algorithm Logic:
1.
Calculate EMA: Uses exponential moving average for trend baseline
2.
Calculate ATR: Measures market volatility
3.
Create Bands: Upper band = EMA + (ATR × Multiplier), Lower band = EMA - (ATR × Multiplier)
4.
Determine Trend:
Price above upper band → Bullish trend (trend line = lower band)
Price below lower band → Bearish trend (trend line = upper band)
Price between bands → Continue previous trend
5.
Generate Signals: Signal occurs when trend direction changes
📊 Best Use Cases
✅ Trending Markets
Excellent for capturing strong directional moves
Works well in both bull and bear markets
Ideal for swing trading and position trading
✅ Multiple Timeframes
Effective on all timeframes from 15 minutes to daily
Higher timeframes provide more reliable signals
Can be used for both scalping and long-term investing
✅ Various Asset Classes
Stocks, Forex, Cryptocurrencies, Commodities
Particularly effective in volatile markets
Adapts automatically to different volatility levels
⚙️ Recommended Settings
Conservative Trading (Lower Risk)
Trend Length: 20
ATR Multiplier: 2.5
Best for: Long-term positions, lower frequency signals
Balanced Trading (Default)
Trend Length: 14
ATR Multiplier: 2.0
Best for: Swing trading, moderate frequency signals
Aggressive Trading (Higher Risk)
Trend Length: 10
ATR Multiplier: 1.5
Best for: Day trading, higher frequency signals
🎨 Visual Elements
Trend Line: Main indicator line that follows the trend
Signal Arrows: Triangle shapes indicating buy/sell points
Text Labels: Clear "BUY" and "SELL" text markers
Information Table: Real-time status panel in top-right corner
Color Coding: Intuitive green/red color scheme
⚠️ Important Notes
Risk Management
Always use proper position sizing
Set stop-losses based on ATR values
Consider market conditions and volatility
Not recommended for ranging/sideways markets
Signal Confirmation
Consider using with other indicators for confirmation
Pay attention to volume and market structure
Be aware of major news events and market sessions
Backtesting Recommended
Test the indicator on historical data
Optimize parameters for your specific trading style
Consider transaction costs in your analysis
ARSI – (VWAP & ATR) 3QKRAKThe ARSI Long & Short – Dynamic Risk Sizing (VWAP & ATR) indicator combines three core components—an adjusted RSI oscillator (ARSI), Volume‐Weighted Average Price (VWAP), and Average True Range (ATR)—so that entry/exit signals and position sizing are always tailored to current market conditions. ARSI, plotted from 0 to 100 with clearly marked overbought and oversold zones, is the primary signal driver: when ARSI falls below the lower threshold it indicates an excessive sell‐off and flags a long opportunity, whereas a break above the upper threshold signals overextended gains and foreshadows a short. A midpoint line at 50 can serve as an early exit or reduction signal when crossed against your position.
VWAP, showing the volume‐weighted average price over the chosen period, acts as a trend filter—long trades are only taken when price sits above VWAP, and shorts only when it’s below—ensuring each trade aligns with the prevailing market momentum. ATR measures current volatility and is used both to set safe stop‐loss levels and to dynamically size each position. In practice, this means positions automatically shrink in high‐volatility environments and grow in quieter markets, all while risking a fixed percentage of your capital.
Everything appears on a single chart: the ARSI pane below the price window with its reference levels; VWAP overlaid on the price; and the ATR‐based stop‐loss distances graphically displayed. Traders thus get a comprehensive, at-a-glance view of entries, exits, trend confirmation, and exactly how large a position they can safely take. The indicator runs in real time, removing the need for manual parameter calculations and letting you focus on strategic decision-making.
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.