BollingerBands MTF | AlchimistOfCrypto🌌 Bollinger Bands – Unveiling Market Volatility Fields 🌌
"The Bollinger Bands, reimagined through quantum mechanics principles, visualizes the probabilistic distribution of price movements within a multi-dimensional volatility field. This indicator employs principles from wave function mathematics where standard deviation creates probabilistic boundaries, similar to electron cloud models in quantum physics. Our implementation features algorithmically enhanced visualization derived from extensive mathematical modeling, creating a dynamic representation of volatility compression and expansion cycles with adaptive glow effects that highlight the critical moments where volatility phase transitions occur."
📊 Professional Trading Application
The Bollinger Bands Quantum transcends traditional volatility measurement with a sophisticated gradient illumination system that reveals the underlying structure of market volatility fields. Scientifically calibrated for multiple timeframes and featuring eight distinct visual themes, it enables traders to perceive volatility contractions and expansions with unprecedented clarity.
⚙️ Indicator Configuration
- Volatility Field Parameters 📏
Python-optimized settings for specific market conditions:
- Period: 20 (default) - The quantum time window for volatility calculation
- StdDev Multiplier: 2.0 - The probabilistic boundary coefficient
- MA Type: SMA/EMA/VWMA/WMA/RMA - The quantum field smoothing algorithm
- Visual Theming 🎨
Eight scientifically designed visual palettes optimized for volatility pattern recognition:
- Neon (default): High-contrast green/red scheme enhancing volatility transition visibility
- Cyan-Magenta: Vibrant palette for maximum volatility boundary distinction
- Yellow-Purple: Complementary colors for enhanced compression/expansion detection
- Specialized themes (Green-Red, Forest Green, Blue Ocean, Orange-Red, Grayscale): Each calibrated for different market environments
- Opacity Control 🔍
- Variable transparency system (0-100) allowing seamless integration with price action
- Adaptive glow effect that intensifies during volatility phase transitions
- Quantum field visualization that reveals the probabilistic nature of price movements
🚀 How to Use
1. Select Visualization Parameters ⏰: Adjust period and standard deviation to match market conditions
2. Choose MA Type 🎚️: Select the appropriate smoothing algorithm for your trading strategy
3. Select Visual Theme 🌈: Choose a color scheme that enhances your personal pattern recognition
4. Adjust Opacity 🔎: Fine-tune visualization intensity to complement your chart analysis
5. Identify Volatility Phases ✅: Monitor band width to detect compression (pre-breakout) and expansion (trend)
6. Trade with Precision 🛡️: Enter during band contraction for breakouts, or trade mean reversion using band boundaries
7. Manage Risk Dynamically 🔐: Use band width as volatility-based position sizing parameter
Indicators and strategies
Sharpe & Sortino Ratio PROSharpe & Sortino Ratio PRO offers an advanced and more precise way to calculate and visualize the Sharpe and Sortino Ratios for financial assets on TradingView. Its main goal is to provide a scientifically accurate method for assessing the risk-adjusted performance of assets, both in the short and long term. Unlike TradingView’s built-in metrics, this script correctly handles periodic returns, uses optional logarithmic returns, properly annualizes both returns and volatility, and adjusts for the risk-free rate — all critical factors for truly meaningful Sharpe and Sortino calculations.
Users can customize the rolling analysis window (e.g., 252 periods for one year on daily data) and the long-term smoothing period (e.g., 1260 periods for five years). There’s also an option to select between linear and logarithmic returns and to manually input a risk-free rate if real-time data from FRED (the 3-Month T-Bill Rate via FRED:DGS3MO) is unavailable. Based on the chart’s timeframe (daily, weekly, or monthly), the script automatically adjusts the risk-free rate to a per-period basis.
The Sharpe Ratio is calculated by first determining the asset’s excess returns (returns after subtracting the risk-free return per period), then computing the average and standard deviation of those excess returns over the specified window, and finally annualizing these figures separately — in line with best scientific practices (Sharpe, 1994). The Sortino Ratio follows a similar approach but only considers negative returns, focusing specifically on downside risk (Sortino & Van der Meer, 1991).
To enhance readability, the script visualizes the ratios using a color gradient: strong negative values are shown in red, neutral values in yellow, and strong positive values in green. Additionally, the long-term averages for both Sharpe and Sortino are plotted with steady colors (teal and orange, respectively), making it easier to spot enduring performance trends.
Why calculating Sharpe and Sortino Ratios manually on TradingView is necessary?
While TradingView provides basic Sharpe and Sortino Ratios, they come with significant methodological flaws that can lead to misleading conclusions about an asset’s true risk-adjusted performance.
First, TradingView often computes volatility based on the standard deviation of price levels rather than returns (TradingView, 2023). This method is problematic because it causes the volatility measure to be directly dependent on the asset’s absolute price. For instance, a stock priced at $1,000 will naturally show larger absolute daily price moves than a $10 stock, even if their percentage changes are similar. This artificially inflates the measured standard deviation and, as a result, depresses the calculated Sharpe Ratio.
Second, TradingView frequently neglects to adjust for the risk-free rate. By treating all returns as risky returns, the computed Sharpe Ratio may significantly underestimate risk-adjusted performance, especially when interest rates are high (Sharpe, 1994).
Third, and perhaps most critically, TradingView doesn’t properly annualize the mean excess return and the standard deviation separately. In correct financial math, the mean excess return should be multiplied by the number of periods per year, while the standard deviation should be multiplied by the square root of the number of periods per year (Cont, 2001; Fabozzi et al., 2007). Incorrect annualization skews the Sharpe and Sortino Ratios and can lead to under- or overestimating investment risk.
These flaws lead to three major issues:
• Overstated volatility for high-priced assets.
• Incorrect scaling between returns and risk.
• Sharpe Ratios that are systematically biased downward, especially in high-price or high-interest environments.
How to properly calculate Sharpe and Sortino Ratios in Pine Script?
To get accurate results, the Sharpe and Sortino Ratios must be calculated using the correct methodology:
1. Use returns, not price levels, to calculate volatility. Ideally, use logarithmic returns for better mathematical properties like time additivity (Cont, 2001).
2. Adjust returns by subtracting the risk-free rate on a per-period basis to obtain true excess returns.
3. Annualize separately:
• Multiply the mean excess return by the number of periods per year (e.g., 252 for daily data).
• Multiply the standard deviation by the square root of the number of periods per year.
4. Finally, divide the annualized mean excess return by the annualized standard deviation to calculate the Sharpe Ratio.
The Sortino Ratio follows the same structure but uses downside deviations instead of standard deviations.
By following this scientifically sound method, you ensure that your Sharpe and Sortino Ratios truly reflect the asset’s real-world risk and return characteristics.
References
• Cont, R. (2001). Empirical properties of asset returns: stylized facts and statistical issues. Quantitative Finance, 1(2), pp. 223–236.
• Fabozzi, F.J., Gupta, F. and Markowitz, H.M. (2007). The Legacy of Modern Portfolio Theory. Journal of Investing, 16(3), pp. 7–22.
• Sharpe, W.F. (1994). The Sharpe Ratio. Journal of Portfolio Management, 21(1), pp. 49–58.
• Sortino, F.A. and Van der Meer, R. (1991). Downside Risk: Capturing What’s at Stake in Investment Situations. Journal of Portfolio Management, 17(4), pp. 27–31.
• TradingView (2023). Help Center - Understanding Sharpe and Sortino Ratios. Available at: www.tradingview.com (Accessed: 25 April 2025).
Relative Volume CandlesVisualizes candlesticks with transparency based on volume relative to a moving average. Higher-than-average volume makes candles more opaque, while lower volume increases transparency—helping you spot significant price movements at a glance!
Features:
Customizable up/down candle colors (default: green/red)
Adjustable lookback period for volume averaging (default: 21)
Fine-tune transparency with base transparency (default: 80) and scale (default: 2.0)
Overlay directly on your chart for seamless analysis
Trend Degree Dashboard (Table)📈 Trend Degree Dashboard (Table) — v1.0
This indicator calculates and displays the trend angle (in degrees) based on the linear regression of the selected source (default: close) over a user-defined lookback period (default: 21 bars).
The trend angle gives a quick visual reference of the current market slope — positive (uptrend) or negative (downtrend).
A dashboard table shows the trend angle directly on the chart, with a background color:
🟩 Green background for positive angles (uptrend)
🟥 Red background for negative angles (downtrend)
🔧 Features:
Customizable Lookback Period: Set the number of candles to consider for trend calculation.
Source Selection: Apply the analysis to close, open, high, low, or any other price series.
Dashboard Positioning: Choose where the dashboard appears (Top Left, Top Right, Bottom Left, Bottom Right).
Clean Table Design: Minimalistic and easy-to-read dashboard with automatic background color highlighting based on trend direction.
⚙️ How It Works:
It uses Linear Regression to measure the slope between two consecutive points.
Converts the slope into degrees using the arctangent function (atan) for a geometric interpretation of trend strength and direction.
Updates the dashboard table live with the latest angle value.
✅ Script Highlights:
Non-repainting: Once a bar closes, its value is fixed.
Efficient performance: Lightweight table visualization with no heavy calculations.
Clear trading signals: Positive angles suggest bullish momentum, negative angles suggest bearish momentum.
⚠️ Disclaimer:
This script is a technical analysis tool designed to assist in decision-making but does not guarantee results.
Please use it alongside other tools and practice proper risk management. Always test any indicator on demo accounts before applying it to live trading.
EMA golden cross strategy by Anuj Guptait just shows the golden crossovers. golden cross overs/unders are highly probable price points
Weekday Colors with Time Highlighting by NabojeetThis script is a Pine Script (version 6) indicator called "Weekday Colors with Time Highlighting" designed for TradingView charts. It has several key functions:
1. **Weekday Color Coding**:
- Assigns different background colors to each trading day (Monday through Friday)
- Allows users to customize the color for each day
- Includes toggles to enable/disable colors for specific days
2. **Time Range Highlighting**:
- Highlights a specific time period (e.g., 18:15-18:30) on every trading day
- Uses a custom color that can be adjusted by the user
- The time range is specified in HHMM-HHMM format
3. **High/Low Line Drawing**:
- Automatically identifies the highest high and lowest low points within the specified time range
- Draws horizontal lines at these levels when the time period ends
- Lines extend forward in time to serve as support/resistance references
- Users can customize the line color, width, and style (solid, dotted, or dashed)
The script is organized into logical sections with input parameters grouped by function (Weekday Colors, Weekday Display, Time Highlighting, and Horizontal Lines). Each section's inputs are customizable through the indicator settings panel.
This indicator would be particularly useful for traders who:
- Want visual distinction between different trading days
- Focus on specific time periods each day (like market opens, closes, or specific sessions)
- Use intraday support/resistance levels from key time periods
- Want to quickly identify session highs and lows
The implementation resets tracking variables at the beginning of each new time range and draws the lines once the time period ends, ensuring accurate high/low marking for each day's specified time window.
Author - Nabojeet
Real Relative Strength vs SPY (Clean Visual)This indicator plots Real Relative Strength/Weakness (RS/RW) of any stock relative to SPY, normalised by ATR. Designed to aid trading aligned to RDT philosophy.
Designed for intraday and swing traders to quickly identify stocks showing true institutional strength or weakness compared to the market.
Uses a clean, color-coded center-line display for fast reading of live RS/RW performance.
It automatically syncs to whatever timeframe you’re trading (5min, 15min, 1hr)
Default comparison ticker is SPY (you can easily swap if needed later)
Length = 12 by default → (rolling 1-hour window on M5 chart)
Clean green/red visual breakout = immediately obvious relative strength or weakness!
How to use
Strong Green move above zero ➔ RS developing ➔ Long bias
Strong Red move below zero ➔ RW developing ➔ Short bias
Choppy around zero ➔ No clear edge ➔ maybe avoid that stock
Quarterly Fundamentals Table by GauravThis Pine Script v3 overlay paints a compact, six‐column table in the top‐right of your chart that begins with your stock’s market capitalization and sector/industry, then lays out quarterly fundamentals—Sales, Sales QoQ%, PAT, PAT QoQ% and OPM%—across the most recent four fiscal quarters (dynamically labeled by month and year). It pulls data via request.financial(), formats large numbers into lakhs/crores, calculates quarter‐over‐quarter growth, and sizes text for clarity, giving swing traders an at‐a‐glance view of key fundamental trends alongside price action.
Session Times + Strenght M7This Script Aims to Define Session Times, and Rank those. It can help to adjust your Strategy to Higher Volatility, if you choose to use the Session Volatility and Strenght Index from 1-10. Your timezone on Trading View should be NY. You can customize the Following in Settings: Weight of Volatility & Narrative Regarding the ranking + Transparency of the Lines. SP:SPX FX:EURUSD OANDA:EURUSD CAPITALCOM:USDJPY AMEX:SPY NASDAQ:QQQ TVC:DXY CAPITALCOM:USDJPY CME_MINI:NQ1! OANDA:XAUUSD FX:GBPUSD
DSEMA 三价趋势(中轨虚线)SMA trend indicator, using two colors to distinguish between long and short trends, indicators, simple, new as the market and average indicator enthusiasts can focus on reference;
Indicators using DSEMA averages, take the value of “high, close, low” three prices to form a trading indicator; anti-single appear false signals, wrong decision-making
Crypto EMA TableCrypto EMA Trend Scanner
A powerful tool for crypto traders to quickly identify trend strength across multiple timeframes
This indicator helps you spot potential trading opportunities by analyzing the EMA (Exponential Moving Average) alignment across four different timeframes. It displays a clean, color-coded table showing which cryptocurrencies are in a strong uptrend.
Key Features:
Multi-Timeframe Analysis: Simultaneously scan 3-minute, 15-minute, 1-hour, and 4-hour charts
Clear Visual Signals: Green cells indicate bullish EMA alignment (EMA 20 > EMA 50 > EMA 200)
Customizable Symbols: Track up to 3 different cryptocurrencies of your choice
Exchange Selection: Compatible with major exchanges (Bybit, Binance, Coinbase, Kraken, KuCoin, FTX)
Flexible Positioning: Place the table anywhere on your chart
How to Use:
Add the indicator to your chart
Select your preferred cryptocurrencies in the settings
Position the table where you want it
Look for green cells indicating EMA lineup.
Use this information to identify potential entry points or confirm your trading bias
Scalping Supertrend + Stochastic RSIThe Scalping Supertrend + Stochastic RSI Indicator is designed for short-term trading and scalping on lower timeframes. It combines the Supertrend indicator to identify trend direction with the Stochastic RSI to pinpoint overbought/oversold conditions for precise entry and exit signals. The indicator generates buy and sell signals when the Stochastic RSI crosses predefined levels (oversold/overbought) while aligned with the Supertrend’s trend direction.
Heila's Advanced Buy/Sell Signal (Upgraded) - 100MA TouchI made it for myself, and it wouldn't be easy to lose if you just follow the signals.. but it's rather hard to see them.
Tradicators Pulse™ [v1]Tradicators Pulse™ Strategy: “AI Pulse Reversal”
Goal:
Catch reversals and trends using a smooth MA with adaptive bands and a confidence oscillator.
Step-by-Step: How to Use
① Set the Context
Timeframes: 5min, 15min, 1H (start with 15min)
Watch:
MA line color (blue = bullish, fuchsia = bearish)
Pulse Bands (upper = overbought, lower = oversold)
Yellow Oscillator for trend strength
Step-by-Step: Mean Reversion (Bounce Trade)
Wait for price to breach a band
Candle closes outside upper band (overbought) or lower band (oversold)
Check Pulse Oscillator
It must curve up (long) or down (short)
Entry Trigger
Enter on next candle that closes back inside the bands
Stop Loss
Few pips outside band edge
Take Profit
TP1 = MA line (gray-blue/fuchsia)
TP2 = Opposite band
Step-by-Step: Trend Entry (Momentum Follow)
Wait for MA color flip
Blue = Uptrend → only long setups
Fuchsia = Downtrend → only short setups
Entry Trigger
Price pulls back near MA
Oscillator still supports trend direction
Enter on bounce off MA
Stop Loss
Few pips below/above MA or last swing low/high
Take Profit
TP1 = Band in direction of trend
TP2 = Use trailing SL or R:R 1:2
Avoid Trading When:
MA is flat (no trend)
Bands are too tight or choppy
Oscillator gives conflicting signal
Relative Strength Indexrsi 2468 ema14 wma 45.đây là tổng hợp chỉ báo rsi và ma +wma trên 1 biểu đồ.nó rất ngắn gọn hữu ích
Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0
This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom.
The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy.
This is an entry strategy that tries to find entries close to "the dip".
A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals.
This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions.
Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries.
Happy trading!
Flask's Week IndicatorThis indicator shows the start of each new week and syncs local timezone to exchange you trading on.
ExtremePointtop+botttom_fxtop+botttom_fxtop+botttom_fxtop+botttom_fxtop+botttom_fxtop+botttom_fxtop+botttom_fx
Quarterly & Monday Levelsit shows following thing
QUARTER: open, high ,low
Last Quarter: high , low
Monday: High, low , midrange