Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator
The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders:
✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity.
✔ Detect periods of capital inflow or outflow from stablecoins.
✔ Identify market sentiment shifts based on stablecoin reserves.
🔶 CALCULATION
The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap:
Stablecoin Aggregation
• Inputs:
USDT, USDC, DAI, USDD (daily closing values).
BUSD Market Cap (Glassnode data).
• Total Stablecoin Supply:
Sum of the listed stablecoins' market caps.
Stablecoin Supply Ratio (SSR)
• Formula:
SSR = Bitcoin Market Cap / Total Stablecoin Supply
• Normalized SSR:
Normalized by dividing SSR by its 200-day SMA.
Bollinger Bands
• Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations.
Example Calculation:
ssr = btcmc / stablecoin_liq
ratio = ssr / ta.sma(ssr, 200)
basis = ta.sma(ratio, 200)
dev = 2 * ta.stdev(ratio, 200)
upper = basis + dev
lower = basis - dev
🔶 DETAILS
Visual Features:
• Normalized SSR:
Plotted as a light green line.
• Upper Band:
Red line indicating SSR overbought zone.
• Lower Band:
Green line signaling SSR oversold zone.
Interpretation:
• High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power.
• Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure.
• Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes.
🔶 EXAMPLES
Market insights include:
• Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain.
• Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand.
🔶 SETTINGS
Customization Options:
• MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation.
• Period: Adjust the 200-day smoothing period.
• Deviation Multiplier: Modify the standard deviation multiplier (default: 2).
The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
Indicators and strategies
Max RR CalculatorAutomatically calculates the maximum RR reached during trade. Entry is at the candle close. There is an option available that takes another trade after getting stopped out on the next candle that is in same bias as first trade.
(If the first trade is a long and gets stopped out, then the second trade will wait until the next up candle to enter long again)
MA CrossAlert [AlchimistOfCrypto]// 📈 MA Crossover 🚀
// This powerful indicator tracks two customizable moving averages with beautiful gradient fills ✨
// Features:
// ✅ Multiple MA types: SMA, EMA, WMA, VWMA, RMA, HMA, TEMA
// 🌈 8 color themes with adjustable opacity
// 🔄 Real-time crossover signals with alerts
// 📊 Smart gradient fill visualization between MAs
// 🛠️ Fully customizable parameters for professional traders
// 🔔 Built-in alerts for bullish and bearish signals
// Perfect tool for trend identification and trading decisions! 💹
Sharpe Ratio Forced Selling StrategyThis study introduces the “Sharpe Ratio Forced Selling Strategy”, a quantitative trading model that dynamically manages positions based on the rolling Sharpe Ratio of an asset’s excess returns relative to the risk-free rate. The Sharpe Ratio, first introduced by Sharpe (1966), remains a cornerstone in risk-adjusted performance measurement, capturing the trade-off between return and volatility. In this strategy, entries are triggered when the Sharpe Ratio falls below a specified low threshold (indicating excessive pessimism), and exits occur either when the Sharpe Ratio surpasses a high threshold (indicating optimism or mean reversion) or when a maximum holding period is reached.
The underlying economic intuition stems from institutional behavior. Institutional investors, such as pension funds and mutual funds, are often subject to risk management mandates and performance benchmarking, requiring them to reduce exposure to assets that exhibit deteriorating risk-adjusted returns over rolling periods (Greenwood and Scharfstein, 2013). When risk-adjusted performance improves, institutions may rebalance or liquidate positions to meet regulatory requirements or internal mandates, a behavior that can be proxied effectively through a rising Sharpe Ratio.
By systematically monitoring the Sharpe Ratio, the strategy anticipates when “forced selling” pressure is likely to abate, allowing for opportunistic entries into assets priced below fundamental value. Exits are equally mechanized, either triggered by Sharpe Ratio improvements or by a strict time-based constraint, acknowledging that institutional rebalancing and window-dressing activities are often time-bound (Coval and Stafford, 2007).
The Sharpe Ratio is particularly suitable for this framework due to its ability to standardize excess returns per unit of risk, ensuring comparability across timeframes and asset classes (Sharpe, 1994). Furthermore, adjusting returns by a dynamically updating short-term risk-free rate (e.g., US 3-Month T-Bills from FRED) ensures that macroeconomic conditions, such as shifting interest rates, are accurately incorporated into the risk assessment.
While the Sharpe Ratio is an efficient and widely recognized measure, the strategy could be enhanced by incorporating alternative or complementary risk metrics:
• Sortino Ratio: Unlike the Sharpe Ratio, the Sortino Ratio penalizes only downside volatility (Sortino and van der Meer, 1991). This would refine entries and exits to distinguish between “good” and “bad” volatility.
• Maximum Drawdown Constraints: Integrating a moving window maximum drawdown filter could prevent entries during persistent downtrends not captured by volatility alone.
• Conditional Value at Risk (CVaR): A measure of expected shortfall beyond the Value at Risk, CVaR could further constrain entry conditions by accounting for tail risk in extreme environments (Rockafellar and Uryasev, 2000).
• Dynamic Thresholds: Instead of static Sharpe thresholds, one could implement dynamic bands based on the historical distribution of the Sharpe Ratio, adjusting for volatility clustering effects (Cont, 2001).
Each of these risk parameters could be incorporated into the current script as additional input controls, further tailoring the model to different market regimes or investor risk appetites.
References
• Cont, R. (2001) ‘Empirical properties of asset returns: stylized facts and statistical issues’, Quantitative Finance, 1(2), pp. 223-236.
• Coval, J.D. and Stafford, E. (2007) ‘Asset Fire Sales (and Purchases) in Equity Markets’, Journal of Financial Economics, 86(2), pp. 479-512.
• Greenwood, R. and Scharfstein, D. (2013) ‘The Growth of Finance’, Journal of Economic Perspectives, 27(2), pp. 3-28.
• Rockafellar, R.T. and Uryasev, S. (2000) ‘Optimization of Conditional Value-at-Risk’, Journal of Risk, 2(3), pp. 21-41.
• Sharpe, W.F. (1966) ‘Mutual Fund Performance’, Journal of Business, 39(1), pp. 119-138.
• 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’, Journal of Portfolio Management, 17(4), pp. 27-31.
Global M2 [BizFing]MARKETSCOM:BITCOIN ECONOMICS:USM2
This is an indicator designed to show the correlation between the global M2 money supply and Bitcoin.
This indicator basically provides a Global M2 index by summing the M2 money supply data from the United States, South Korea, China, Japan, the EU, and the United Kingdom.
Furthermore, it is configured to allow you to add or remove the M2 data of desired countries within the settings.
I hope this proves to be a small aid in predicting the future price of Bitcoin.
If you have any questions or require any improvements while using it, please feel free to contact me.
Thank you.
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
RSI + MACD + Liquidity FinderLiquidity Finder: The liquidity zones are heuristic and based on volume and swing points. You may need to tweak the volumeThreshold and lookback to match the asset's volatility and timeframe.
Timeframe: This script works on any timeframe, but signals may vary in reliability (e.g., higher timeframes like 4H or 1D may reduce noise).
Customization: You can modify signal conditions (e.g., require only RSI or MACD) or add filters like trend direction using moving averages.
Backtesting: Use TradingView's strategy tester to evaluate performance by converting the indicator to a strategy (replace plotshape with strategy.entry/strategy.close).
BTST By ANTThe BTST Indicator is a powerful tool specifically designed for traders in the Indian stock market. This unique indicator identifies and highlights key price movements at a pivotal time—3:15 PM. This time is crucial for making BTST (Buy Today, Sell Tomorrow) decisions, a popular trading strategy in India.
Key Features:
Gap Identification : The indicator detects whether the current price action represents a gap-up or gap-down situation compared to the Heikinashi candle close price. This information is vital for short-term traders looking to capitalize on price momentum.
Visual Alerts : When a gap-up trend is detected, a green label "Gap Up" is displayed above the relevant bar. Similarly, a red label "Gap Down" appears below the bar for gap-down movements. These visual indicators help traders make quick and informed decisions.
User-Friendly Insights: The BTST Indicator provides vital information about last closed prices and the dynamics between normal candles and Heikinashi candles. With detailed logs, users can see the exact conditions leading to buy or sell signals, helping optimize trading strategies.
Why Use the BTST Indicator?
Timeliness: The focus on the 3:15 PM mark aligns perfectly with trading patterns and market behavior specific to the Indian stock market, making it an invaluable addition to your trading arsenal.
Enhanced Decision-Making: By receiving immediate visual cues on significant price movements, traders can execute their BTST strategies with greater confidence and speed.
Designed for Indian Markets: This indicator caters specifically to the nuances of Indian stock trading, ensuring relevance and effectiveness for local traders.
Start utilizing the BTST Indicator today to enhance your trading strategies and position yourself for successful trades in the Indian stock market!
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).
Bearish Highs & Bullish Lows (Untouched Levels)As the indicator-name already states:
This indicator draws rays from every untouched high of a bear candle and every untouched low of a bull candle.
Levels which are touched are deleted, not on touch, but on the start of the new candle.
V3 Theonator Bank Volume Entry & Exitsnipe the huz out of the banks like tralala leo trlala like this indicator is fine shi liek fr
ALTIN.S1 mi 🤔 BİST mi 🤔
// © kadriyamacli
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indicator("ALTIN.S1 mi 🤔 BİST mi 🤔 ", overlay=true)
Williams Percent Range proOverview
Williams Percent Range Pro is a powerful divergence detection tool based on the Williams %R oscillator.
It automatically identifies and plots regular and hidden divergences between price action and the %R oscillator, providing traders with early indications of potential trend reversals or trend continuations.
This indicator enhances the classic Williams %R by adding intelligent divergence detection logic, customizable visualization, and integrated alert conditions — making it a highly versatile tool for both manual and automated trading.
Features
Automatic Divergence Detection
Regular Divergence (signals trend reversals)
Hidden Divergence (signals trend continuations)
Customizable Settings
Period length, source price, color customization for each divergence type
Visual Enhancements
Overbought, Mid, and Oversold levels (-20, -50, -80)
Shaded background for easier visual interpretation
Pivot Detection
Identifies key swing points on the Williams %R line for divergence comparison
Integrated Alerts
Set up alerts for each type of divergence without coding
Lightweight and Optimized
Designed for fast loading and efficient operation on any timeframe
How It Works
Williams %R Calculation
The script calculates the Williams %R as follows:
%R = 100 × (Close - Highest High over Period) ÷ (Highest High - Lowest Low)
This results in a value that moves between -100 and 0, indicating overbought and oversold conditions.
Pivot Detection
The indicator uses pivot highs and pivot lows on the %R line to determine important swing points.
Pivot logic is based on comparing neighboring candles (5 bars to the left and 5 bars to the right by default).
Divergence Detection
1. Regular Divergence
Regular Bullish Divergence:
Price makes a Lower Low
Williams %R makes a Higher Low
→ Signals potential upward reversal
Regular Bearish Divergence:
Price makes a Higher High
Williams %R makes a Lower High
→ Signals potential downward reversal
2. Hidden Divergence
Hidden Bullish Divergence:
Price makes a Higher Low
Williams %R makes a Lower Low
→ Signals potential upward continuation
Hidden Bearish Divergence:
Price makes a Lower High
Williams %R makes a Higher High
→ Signals potential downward continuation
Each type of divergence is plotted with a specific label and customizable color on the indicator.
Input Parameters
Input Description
Length Period length for Williams %R calculation (default: 14)
Source Data source (default: Close)
Show Regular Divergence Enable/disable regular divergence detection
Show Hidden Divergence Enable/disable hidden divergence detection
Regular Bullish Color Color for regular bullish divergence labels
Regular Bearish Color Color for regular bearish divergence labels
Hidden Bullish Color Color for hidden bullish divergence labels
Hidden Bearish Color Color for hidden bearish divergence labels
Visual Elements
Horizontal Lines:
-20: Overbought zone
-50: Mid-level (dashed line)
-80: Oversold zone
Background Shading:
Fills between -20 and -80 for better visual focus on active trading zones.
Divergence Labels:
Bull = Regular Bullish Divergence
Bear = Regular Bearish Divergence
H Bull = Hidden Bullish Divergence
H Bear = Hidden Bearish Divergence
Each label appears exactly at the pivot points of the Williams %R line, offset slightly for clarity.
Alerts
You can create TradingView alerts based on the following conditions:
Regular Bullish Divergence Detected
Regular Bearish Divergence Detected
Hidden Bullish Divergence Detected
Hidden Bearish Divergence Detected
This allows fully automated trading setups or mobile push notifications.
Example alert message:
"Williams %R Regular Bullish Divergence Detected"
Usage Tips
Entry Strategy:
Combine divergence signals with trend confirmation indicators like EMA/SMA, MACD, or Volume.
Exit Strategy:
Monitor when price reaches key resistance/support zones or overbought/oversold levels on the %R.
Higher Accuracy:
Always confirm divergences with price action patterns such as breakouts, candlestick formations, or trendline breaks.
Conclusion
The Williams Percent Range Pro indicator brings powerful divergence detection and customization features to a classic momentum oscillator.
It provides clear visual and alert-based trading signals that help you anticipate major turning points or trend continuations in any market and timeframe.
Whether you are a swing trader, day trader, or scalper, this tool can be an essential addition to your technical analysis toolkit.
AE - Aggregated Open InterestAggregated Open Interest
The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts.
🔶 CALCULATION
The indicator processes open interest data through multiple analytical methods:
Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization.
Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI.
Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements.
Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements.
Formula:
- Aggregate OI = Sum of normalized open interest from selected exchanges
- OI Change = Current OI - Previous OI
- OI Delta = Net change in open interest across timeframes
- OI Delta × Volume = OI Delta weighted by relative volume
- OI RSI = Relative Strength Index applied to open interest values
- OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods
🔶 DETAILS
Visual Features:
Multiple Display Modes:
- Open Interest: Candlestick representation of aggregated open interest
- OI Change: Histogram showing period-to-period changes
- OI Delta: Histogram displaying net OI movements
- OI Delta × Volume: Volume-weighted OI delta for enhanced signals
- OI RSI: Oscillator showing overbought/oversold OI conditions
- OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13,
21, 34, and 55 days)
- Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting - -
significant divergences between price and open interest
- Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and
bullish/bearish activity
🔶 Interpretation:
Increasing Open Interest + Rising Price: Strong bullish trend confirmation
Increasing Open Interest + Falling Price: Strong bearish trend confirmation
Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal)
Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal)
Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction
Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI
🔶 EXAMPLES
Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing.
- Example: During January-February 2025, rising OI during price advances confirms institutional
participation in the uptrend.
- Bearish Divergence: Price makes a higher high while open interest makes a lower high,
signaling potential trend reversal.
- Example: Red markers appear at market tops where price continues higher but open interest
fails to confirm, preceding significant corrections.
- Bullish Divergence: Price makes a lower low while open interest makes a higher low,
indicating potential bottoming.
- Example: Teal markers appear at market bottoms where price continues lower but open
interest fails to confirm, preceding significant rallies.
OI Heatmap Analysis: Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure.
Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections.
🔶 SETTINGS
Customization Options:
Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD)
Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap
Currency Units: Display in USD or base cryptocurrency (COIN)
Analysis Tools: Moving Average (length and color), RSI (length and color)
Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors
OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization
The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
SmallCapToLargeCapRatio with MAsThis is indicator which gives the ratio between Nifty50 and small cap.
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
MSS + Confirmation + RSI + Strong Candle FilterMSS Strong Confirmed Indicator
This indicator is designed to detect only the strongest entry opportunities based on strict conditions:
✅ MSS (Market Structure Shift) detection.
✅ Waiting for a strong confirmation candle (body > 60% of total candle length).
✅ RSI filter (above 50 for Long, below 50 for Short).
✅ AlphaTrend trend confirmation.
✅ Automatic drawing of Take Profit (TP) and Stop Loss (SL) levels.
Only rare, high-probability entries are shown — no noise, no false signals.
Ideal for traders who prioritize accuracy and quality over quantity.
Script created and designed by Taha Shalata 💎🚀
1m Confirmation: EMA20 + QQE + Vol Spike by RalpinoyThis is a “confirmation” indicator for 1-minute scalping. We created to assure us before entering a trade.
It fires a ✅ long arrow when all three line up:
Trend: price is above the 20-period EMA
Momentum: QQE histogram is above zero
Volume: current bar’s volume > 1.5× its 20-bar SMA
A ❌ short arrow shows when the inverse conditions are met.
Guys you may use this and drop it onto your 1 min chart and adjust the multipliers to taste.
How to use:
Add this as a single indicator on your 1 min chart.
Watch for the ✅/❌ arrows to mark “all-clear” entries.
You can hook the built-in alerts to get pinged exactly when those arrows appear.
Feel free to tweak the QQE multiplier, volume multiplier or even swap in your preferred momentum calc. Happy scalping!
Nifty 3-min Options Pro Strategy (Fixed Version)This strategy is designed specifically for high-probability intraday options trading on the Nifty 3-5 minute chart.
It intelligently combines CPR (Central Pivot Range) and VWAP to define the market's bias (bullish or bearish) and detects Inside Bar Breakouts to pinpoint low-risk, high-reward entries.
The strategy automatically:
Identifies Buy Signals for CE (Call Options) when conditions are bullish.
Identifies Buy Signals for PE (Put Options) when conditions are bearish.
Plots dynamic CPR and VWAP levels on the chart.
Applies ATR-based Stop Loss and trailing stop loss for risk management.
Generates real-time alerts for quick trading actions.
The trading logic is time-filtered to operate only during optimal intraday hours (9:00 AM to 2:30 PM), avoiding low-volume traps and volatile close sessions.
Designed to help traders capture strong directional moves early, this strategy is perfect for Nifty scalpers and intraday options traders aiming for consistent profitability.
Stochastics + Williams VixFix Master Strategy📈 Stochastics + Williams VixFix Master Strategy
A precision-built reversal detection tool that combines momentum exhaustion with volatility panic spikes to identify high-probability turning points — especially effective on daily charts for ETFs and indices.
🔍 How It Works:
✅ Buy Signal triggers when:
Stochastics %K and %D are both oversold
A bullish crossover occurs
A VixFix spike confirms market fear
❌ Sell Signal requires:
%K and %D overbought
A bearish crossover + bearish candle confirmation (lower close and red bar)
🎯 Highlights:
Relaxed signal logic to avoid missed opportunities
Filters out weak sell signals in choppy zones
Clean visuals with background color cues
Alerts ready for automation
Use this strategy to confidently spot fear-driven bottoms and euphoria-driven tops — before the herd reacts.
PumpC Opening Range Breakout (ORB) 5min Range📄 PumpC ORB 5-Minute Opening Range Breakout Indicator
✨ Overview
The PumpC ORB 5-Minute Opening Range Breakout indicator captures early session price action by tracking the high, low, and open of a defined 5-minute window at market open (customized for Futures or Stocks).
It plots breakout levels, extension targets, average range calculations, volume tracking, and provides visual and table-based data summaries.
This indicator is designed for traders seeking a complete, clean visualization of Opening Range Breakouts (ORB) with flexible customization.
⚙️ Main Features
Opening Range Box (ORB Box) Draws a box around the high and low of the first 5-minute session (8:30–8:35 ET for Futures, 9:30–9:35 ET for Stocks). Box extends from the session open to the session close (4:00 PM ET). Option to enable/disable historical boxes. Box color and opacity are customizable. Core ORB Levels Open Level: Plots the open price of the 5-minute ORB window. ORB Levels: Plots breakout levels at multiples: +0.5x the range +1.5x the range (customizable factor) Each level has independent color settings and visibility toggles. Option to show or hide historic extension levels. Table Display Compact table in the top-right corner showing: ORB ATR (average range) ORB ATR in ticks Today's ORB range ORB Volume ATR (average volume during ORB) Today's ORB Volume Volume is formatted automatically into "K" (thousands) or "M" (millions) for readability. Background Highlights After the ORB window closes: Blue highlight if today's ORB range is greater than the 10-day ATR average. Orange highlight if today's ORB range is smaller than the 10-day ATR average. Helps quickly assess relative strength or weakness compared to historical behavior. Alerts Breakout Confirmations: Fires when price closes above ORB High or below ORB Low. Fallout Traps: Alerts when price wick crosses ORB High/Low but closes back inside the range. Alerts use clean titles and simple messages for easy identification.
🔧 Inputs and Customization
Mode Toggle: Choose between Futures (8:30 ET open) or Stocks (9:30 ET open). Show/Hide Labels: Control label visibility for ORB and extension levels. Line Width Control: Customize thickness for ORB lines and extension levels. ORB Level Level Visibility: Independently enable or disable each extension line. Table Appearance: Customize table background color, font color, and padding. ORB Box Settings: Customize box color and control whether historical boxes are drawn.
📚 How to Use
Select Mode: Choose Futures or Stocks depending on your instrument. Observe the Opening Range: Focus on the ORB High and ORB Low during the first 5 minutes after the open. Monitor Breakouts: Breakout alerts will fire when price closes outside the ORB range, signaling potential continuation. Watch for Fallout Traps: Fallout alerts signal when price briefly wicks above/below but closes back inside the ORB range. Use Table Metrics: Instantly compare today's ORB range and volume versus historical averages to assess session strength or weakness.
🛡️ Notes
Best used on the 1-minute or 5-minute chart for intraday trading. Ensure your TradingView chart time zone is set to New York for correct functioning. Alerts must be manually configured after adding the indicator to your chart.
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