🎯 SHORT BAG DETECTOR🎯 SHORT BAG DETECTOR: The Liquidation Squeeze Signal
💡 What This Indicator Does
The SHORT BAG DETECTOR is a powerful volatility and volume-based indicator designed to identify high-probability price areas where trapped short sellers (those holding a "short bag" of losing positions) are most vulnerable to a short squeeze or liquidation event.
It automatically scans for a rare confluence of three critical market conditions, generating a single, high-conviction signal (the large orange marker) for optimal entry timing.
🔎 The 3 Confluence Conditions
The main OLD BAG DETECTED! signal only triggers when all three of the following conditions occur simultaneously:
Old Level Touch: The price returns to a significant, aged historical pivot high or low price (established over the last 150 days). This level represents the average entry price for a large number of short or long positions.
Significant Gap: The current day opens with a meaningful price gap (user-defined percentage) against the direction of the trapped traders. This creates immediate urgency and stress for the "bag holders."
Volume Spike: The signal is confirmed by a massive volume spike (user-defined multiplier over average volume). This confirms that the movement is driven by forced liquidation (short-covering) and aggressive buying/selling, not just minor market noise.
📊 Key Features
High-Conviction Orange Signal: Marks the optimal timing for a potential squeeze/reversal driven by short liquidation.
Gap Markers (Green/Red): Clearly identifies significant bullish and bearish gaps on the chart.
Toggleable Minor Levels (Blue Labels): Shows all historical pivot levels being tracked for full context (can be easily disabled in the settings to reduce chart clutter).
📈 How to Use the Signal
The indicator is best used to identify continuation trades or volatile reversals. When the OLD BAG DETECTED! signal appears:
Bullish Signal (When price gaps up to an old low): Indicates a strong potential reversal as shorts from that low level are forced to cover.
Bearish Signal (When price gaps down to an old high): Indicates a potential reversal as longs from that high level are forced to liquidate.
This tool is perfect for traders looking to capitalize on volatility events and forced liquidations.
Educational
Mebane Faber GTAA 5In 2007, Mebane Faber published research that challenged the conventional wisdom of buy-and-hold investing. His paper, titled "A Quantitative Approach to Tactical Asset Allocation" and published in the Journal of Wealth Management, demonstrated that a simple timing mechanism could reduce portfolio volatility and drawdowns while maintaining competitive returns (Faber, 2007). This indicator implements his Global Tactical Asset Allocation strategy, known as GTAA5, following the original methodology.
The core insight of Faber's research stems from a century of market data. By analyzing asset class performance from 1901 onwards, Faber found that a ten-month simple moving average served as an effective trend filter across major asset classes. When an asset trades above its ten-month moving average, it tends to continue its upward trajectory; when it falls below, significant drawdowns often follow (Faber, 2007, pp. 12-16). This observation aligns with momentum research by Jegadeesh and Titman (1993), who documented that intermediate-term momentum persists across equity markets.
The GTAA5 strategy allocates capital equally across five diversified asset classes: domestic equities (SPY), international developed markets (EFA), aggregate bonds (AGG), commodities (DBC), and real estate investment trusts (VNQ). Each asset receives a twenty percent allocation when trading above its ten-month moving average. When an asset falls below this threshold, its allocation moves to short-term treasury bills (SHY), creating a dynamic cash position that scales with market risk (Cambria Investment Management, 2013).
The strategy's historical performance during market crises illustrates its function. During the 2008 financial crisis, traditional sixty-forty portfolios experienced drawdowns exceeding forty percent. The GTAA5 strategy limited losses to approximately twelve percent by reducing equity exposure as prices declined below their moving averages (Faber, 2013). This asymmetric return profile represents the strategy's primary characteristic.
This implementation uses monthly closing prices retrieved via request.security() to calculate the ten-month simple moving average. This distinction matters, as approximations using daily data (such as a 200-day moving average) can generate different signals during volatile periods. Monthly data ensures the indicator produces signals consistent with published academic research.
The indicator provides position monitoring, automatic rebalancing detection on either the first or last trading day of each month, and share calculations based on user-defined capital. A dashboard displays current trend status for each asset class, target versus actual weightings, and trade instructions for rebalancing. Performance metrics including annualized volatility and Sharpe ratio provide ongoing risk assessment.
Several limitations warrant acknowledgment. First, the strategy rebalances monthly, meaning it cannot respond to intra-month market crashes. Second, transaction costs and taxes from monthly rebalancing may reduce net returns for taxable accounts. Third, the ten-month lookback period, while historically robust, offers no guarantee of future effectiveness. As Ilmanen (2011) notes in "Expected Returns", all timing strategies face the risk of regime change, where historical relationships break down.
This indicator serves educational purposes and portfolio monitoring. It does not constitute financial advice.
References:
Cambria Investment Management (2013). Global Tactical Asset Allocation: An Introduction to the Approach. Research Report, Los Angeles.
Faber, M.T. (2007). A Quantitative Approach to Tactical Asset Allocation. Journal of Wealth Management, Spring 2007, pp. 9-79.
Faber, M.T. (2013). Global Asset Allocation: A Survey of the World's Top Asset Allocation Strategies. Cambria Investment Management, Los Angeles.
Ilmanen, A. (2011). Expected Returns: An Investor's Guide to Harvesting Market Rewards. John Wiley and Sons, Chichester.
Jegadeesh, N. and Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), pp. 65-91.
Kvng solzfx Gold StrategyThis indicator helps to find gold setups using kvng solz fx buy only strategy on gold
SenxseAiSenxseiAI is a fully modular, multi-framework trading system designed for precision, clarity, and ease of use.
This tool blends market structure, dynamic S/R mapping, trend-logic, and session-based liquidity levels into a unified visual workflow. It highlights real-time entry signals with clean rays and labeled flags, while optional session, daily, and weekly highs/lows anchor traders to key liquidity points. A comprehensive theme engine—with multiple color packs and custom overrides—allows the interface to adapt to any chart style or user preference.
The UI is intentionally minimal, using toggle-based controls instead of overwhelming parameter lists, making the script beginner-friendly while maintaining professional depth.
DTR SL-TPDTR SL-TP is a simple risk-management indicator designed to automatically plot stop-loss and take-profit levels based on the current market price. It helps traders visualize their risk-to-reward setup directly on the chart, making trade planning faster and more consistent.
The indicator uses two main inputs: a Stop Loss Percentage and a Take Profit Multiplier. The stop loss is calculated by reducing the current price by the chosen percentage. The take profit level is set by multiplying that same percentage by the Take Profit Multiplier and adding it to the current price. This creates a dynamic stop-loss and take-profit pair that updates with every candle.
The stop-loss line is plotted in red, and the take-profit line is plotted in green for immediate visual clarity. Traders can adjust the percentage and multiplier to match their personal risk tolerance or strategy requirements.
DTR SL-TP is useful for any style of trading that requires predefined exit levels, including scalping, day trading, and swing trading. It helps maintain discipline, enforce consistent risk management, and quickly evaluate whether a potential trade offers an acceptable reward-to-risk ratio.
High/Low Sweep Dashboard Heatmap/Table (Final v4)The High/Low Sweep Dashboard v6 is a versatile TradingView indicator that analyzes the past N candles to track how many times the high, low, both, or neither levels were taken out. It provides a clear visual summary through either a table or heatmap, with percentages for each category.
Key Features:
- Toggle between Table or Heatmap display.
- User-selectable dashboard position: Upper Right or Lower Right.
- Track sweep data over a custom number of candles.
- Optional markers on the chart for when both or none of the levels are taken.
- Clear percentage breakdowns for each sweep type.
This indicator is ideal for traders who want a quick overview of high/low sweeps and candle behavior over a defined historical window.
Local Watchlist Gauge v6The Local Watchlist Gauge displays a compact monitoring table for a user-defined list of symbols, showing their current trend status and performance relative to their 52-week high.
The indicator presents a table that simultaneously tracks multiple symbols and displays:
• Trend direction for each symbol, determined by whether the closing price is above or below a user-defined moving average
• Percentage distance from the 52-week high, providing a clear measure of recent performance relative to the yearly peak
Each symbol is displayed with:
Trend indicator showing whether the symbol is in an uptrend (above moving average) or downtrend (below moving average)
Distance from 52-week high expressed as a percentage, with color coding to indicate proximity to recent highs
Green indicates symbols trading within 5% of their 52-week high, orange indicates symbols between 5% and 20% below their 52-week high, and red indicates symbols trading more than 20% below their 52-week high.
The table provides an at-a-glance summary of the trend status and relative performance of all symbols in the specified watchlist, allowing users to quickly identify which instruments are maintaining trend strength near their recent highs and which have experienced significant pullbacks from their yearly peaks.
Burry Bubble DetectorThis indicator implements Michael Burry's bubble detection methodology, originally outlined in his famous 2020 analysis of GameStop (GME). Burry identified extreme bubble conditions when a stock's price significantly deviates from its fundamental book value, specifically when the Price-to-Book ratio exceeds extreme multiples.
The indicator creates valuation zones based on book value per share and identifies when a stock enters bubble territory according to Burry's criteria:
• Deep Value Zone: Price ≤ 0.5x Book Value (Burry's preferred buying area)
• Fair Value: Price between 0.5x and 1.5x Book Value
• Bubble Warning: Price exceeds user-defined multiple of book value (default 3x)
• Extreme Bubble: Price exceeds higher multiple of book value (default 5x)
Key features include:
Visual bubble zones with dynamic background coloring
Price-to-Book ratio monitoring
Speculation Score combining valuation extremes, volume spikes, and volatility
Entry signals when price enters the deep value zone
Comprehensive dashboard displaying current valuation zone and key metrics
The indicator requires user input of fundamental data (book value and shares outstanding) to establish the baseline valuation framework. Once configured, it continuously monitors whether the current price represents fair value or extreme speculation relative to the company's book value.
This methodology is particularly useful for identifying when stocks have detached from fundamental value and entered unsustainable bubble conditions, regardless of short-term price momentum. Additional Publishing Information:
When publishing, you may want to include the following notes in the description or as additional context:
"This indicator requires proper configuration of fundamental inputs (book value and shares outstanding) for accurate bubble detection. These values should be updated periodically to reflect the company's current financial position. The indicator is most effective when used with companies that have meaningful book value and where Price-to-Book serves as a relevant valuation metric.
The bubble detection framework is based on the principle that sustained prices significantly exceeding several multiples of book value represent speculative excess rather than fundamental value creation."
This description clearly explains the theoretical foundation of the indicator, its operational requirements, and the specific methodology it implements. The tags cover the key concepts and make the indicator discoverable for users specifically interested in value investing, bubble detection, and fundamental valuation analysis.
Futures Position Size Calculator (NQ/ES)DISCLAIMER:
This indicator is provided solely for informational and educational purposes. It calculates position sizing based on user-defined inputs such as entry and stop-loss levels, but it does not provide trading signals, recommendations, or financial advice . All trading decisions are made at the sole discretion of the user.
By using this indicator, you acknowledge that you are fully responsible for your own trades and risk management . The developer/publisher of this indicator assumes no liability for any losses, damages, or financial consequences that may arise from its use.
Features:
• Position size calculator (based on Entry & Stop Loss)
• Reward ratio calculator (1R, 2R, 3R, etc.)
• Supports: NQ / MNQ / ES / MES
Usage:
When you first add the script to your chart (on any supported futures symbol), you will be prompted to set the Entry Price and Stop Loss Price on the chart using draggable lines .
After setup, you can freely move the price lines, and the indicator will automatically update:
• Position size
• Reward targets
• Direction (long/short is auto-detected)
RISK Settings:
You can calculate position size using either:
1. Account Percent
Select "Percent" in the Risk Method dropdown and enter the percent of your account you want to risk per trade.
2. Fixed Dollar Amount
Select "Fixed Dollar" in the Risk Method dropdown and enter the dollar amount you want to risk.
You may set separate values for: NQ, MNQ, ES, and MES.
Reward Calculator:
Enable the checkbox "Show Reward Targets" in the Reward Ratio section to display projected targets (1R, 2R, etc.).
You can also choose how many R-levels are displayed on the chart.
Bassi's Pattern Breakout IndicatorBASSI'S PATTERN BREAKOUT INDICATOR
Author: Bassi | Published 2025
One of the cleanest and most accurate classic pattern detectors on TradingView – proudly coded and shared by Bassi.
Detects & confirms breakouts from:
• Double Top / Double Bottom
• Triple Top / Triple Bottom
• Head & Shoulders
• Inverse Head & Shoulders
Key Features:
• 100% non-repainting – signals only appear after candle close
• Smart breakout confirmation using the correct neckline level
• Visual pattern drawing (tops/bottoms + necklines)
• Clear breakout labels with vertical confirmation lines
• Real-time TradingView alerts (one alert per bar close)
• All alerts include "Bassi" prefix so you know it's the original
• Dynamic coloring for Double Bottom (red in lower areas, green in higher areas)
• No messy BUY/SELL labels – clean professional look (as requested by the community)
Why traders love it:
- Extremely reliable on all timeframes (1m to monthly)
- Works perfectly on Forex, Stocks, Crypto, Indices
- No false signals during consolidation
- Perfect for swing trading, scalping and position trading
Settings:
• Pivot Left/Right Bars – adjust sensitivity
• Price Tolerance % – how flat the tops/bottoms must be
• Max Pivot Storage – memory management
• Enable/disable alerts and visual markers
How to use:
1. Add to chart
2. Create alert → select "Bassi's Pattern Breakout Indicator"
3. Choose "Once per bar close"
4. Get notified instantly on every confirmed breakout!
This is the original and only authorized version by Bassi.
If you enjoy this indicator, please leave a like and follow for future updates!
© Bassi 2025 – All rights reserved
#pattern #breakout #doubletop #doublebottom #headandshoulders #tradingview #bassi
Adaptive Support and Resistance LevelsAdaptive Support and Resistance Levels
This indicator is a comprehensive institutional-grade trading tool designed to visualize Auction Market Theory (AMT), Support and Resistance concepts directly on the price chart. It is built for traders who require a deep understanding of market structure without the visual clutter of standard retail indicators.
Key Features:
1] Fractal Adaptive Engine:
The indicator automatically adjusts its calculations based on your timeframe.
-Intraday (1m-15m): Displays Daily Levels.
-Swing/Positional (30m-1H): Displays Weekly Levels.
-Long Term (Daily+): Displays Monthly Levels.
2]Untested Levels:
-Identifies levels from previous sessions that have not been tested by price.
-Extends these levels forward as "Magnets" until price touches them.
-Touch-Delete Logic: Once price interacts with a magnet, the line is automatically removed to keep the chart clean.
3] Institutional Dashboard:
- A "Flight Deck" table in the top-right corner provides real-time metrics:
-Context: Are we inside, above, or below the previous value zone?
-Auction State: Is the current market balanced or imbalanced?
-IB Status: Initial Balance (first 60 mins) breakout/breakdown status.
-Fuel Gauge: Measures current range vs. ADR (Average Daily Range) to gauge exhaustion.
-Volume Flow: Detects high-aggression volume relative to the average.
How to Use:
Trend Following: Look for price breaking out of the (Static Lines) , Pullback rejection, Rejection from the lines.
Reversion: Use the lower lines for bulls reversal and Upper lines for bears reversal ( Kind of reversal candle formation )
Risk Management: Use the ADR Fuel Gauge to avoid buying extended markets (>100% ADR).
Disclaimer: This tool is only for educational and analytical purposes only. Not any recommendation.
SPY → ES 11 Levels with Labels📌 Description for SPY → ES 11-Level Converter (with Labels)
This script converts important SPY options-based levels into their equivalent ES futures prices and plots them directly on the ES chart.
Because SPY trades at a different price scale than ES, each SPY level is multiplied by a customizable ES/SPY ratio to project accurate ES levels.
It is designed for traders who use SpotGamma, GEXBot, MenthorQ, Vol-trigger levels, or their own gamma/oi/volume models.
🔍 Features
✅ Converts SPY → ES using custom or automatic ratio
Option to manually enter a ratio (recommended for accuracy)
Or automatically compute ES/SPY from live prices
✅ Plots 11 major levels on the ES chart
Each level can be individually turned ON/OFF:
Call Wall
Put Wall
Volume Trigger
Spot Price
+Gamma Level
–Gamma Level
Zero Gamma
Positive OI
Negative OI
Positive Volume
Negative Volume
All levels are drawn as clean horizontal lines using the converted ES value.
Imbalance and OB finder by CryptdozMark all imbalances and key Order Blocks - automatically eliminates OB that have been mitigated and keep only those which are still unmitigated on various Time Frames. Makes its easy to see key area where the price may swing !
rahulp33It is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, gives a general sense of the daily trend, but it's not the sole factor to consider.
ETH Upgrades: Exact Price + DateThis indicator places markers on the chart that show you the exact date and price where each Ethereum upgrade occurred.
rahulpatkiIt is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, provides a general idea of the daily trend, but it is not the only one to consider.
rahulpatkiIt is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, provides a general idea of the daily trend, but it is not the only one to consider.
NAS Ultimate Algo v2.5NAS Ultimate Algo v2.5 has following features:
1. Dynamic Trailing SL Label
2. Auto-Hide on TP Hit
3. Dynamic Take-Profit Targets (ATR-based)
4. Label Colour Customization
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
Unusual Volume//@version=5
indicator("Unusual Volume", overlay=false)
// --- Inputs ---
len = input.int(20, "Average Volume Length", minval=1)
mult = input.float(2.0, "Unusual Volume Multiplier", step=0.1)
// --- Calculations ---
avgVol = ta.sma(volume, len)
ratio = volume / avgVol
isBigVol = ratio > mult
// --- Plots ---
plot(volume, "Volume", style=plot.style_columns,
color = isBigVol ? color.new(color.green, 0) : color.new(color.gray, 60))
plot(avgVol, "Average Volume", color=color.orange)
// Mark unusual volume bars
plotshape(isBigVol, title="Unusual Volume Marker",
location=location.bottom, style=shape.triangleup,
color=color.green, size=size.tiny, text="UV")
// Optional: show ratio in Data Window
var label ratioLabel = na
Unusual Volume//@version=5
indicator("Unusual Volume", overlay=false)
// --- Inputs ---
len = input.int(20, "Average Volume Length", minval=1)
mult = input.float(2.0, "Unusual Volume Multiplier", step=0.1)
// --- Calculations ---
avgVol = ta.sma(volume, len)
ratio = volume / avgVol
isBigVol = ratio > mult
// --- Plots ---
plot(volume, "Volume", style=plot.style_columns,
color = isBigVol ? color.new(color.green, 0) : color.new(color.gray, 60))
plot(avgVol, "Average Volume", color=color.orange)
// Mark unusual volume bars
plotshape(isBigVol, title="Unusual Volume Marker",
location=location.bottom, style=shape.triangleup,
color=color.green, size=size.tiny, text="UV")
// Optional: show ratio in Data Window
var label ratioLabel = na
