ICT Bread and Butter Sell-SetupICT Bread and Butter Sell-Setup – TradingView Strategy
Overview:
The ICT Bread and Butter Sell-Setup is an intraday trading strategy designed to capitalize on bearish market conditions. It follows institutional order flow and exploits liquidity patterns within key trading sessions—London, New York, and Asia—to identify high-probability short entries.
Key Components of the Strategy:
🔹 London Open Setup (2:00 AM – 8:20 AM NY Time)
The London session typically sets the initial directional move of the day.
A short-term high often forms before a downward push, establishing the daily high.
🔹 New York Open Kill Zone (8:20 AM – 10:00 AM NY Time)
The New York Judas Swing (a temporary rally above London’s high) creates an opportunity for short entries.
Traders fade this move, anticipating a sell-off targeting liquidity below previous lows.
🔹 London Close Buy Setup (10:30 AM – 1:00 PM NY Time)
If price reaches a higher timeframe discount array, a retracement higher is expected.
A bullish order block or failure swing signals a possible reversal.
The risk is set just below the day’s low, targeting a 20-30% retracement of the daily range.
🔹 Asia Open Sell Setup (7:00 PM – 2:00 AM NY Time)
If institutional order flow remains bearish, a short entry is taken around the 0-GMT Open.
Expect a 15-20 pip decline as the Asian range forms.
Strategy Rules:
📉 Short Entry Conditions:
✅ New York Judas Swing occurs (price moves above London’s high before reversing).
✅ Short entry is triggered when price closes below the open.
✅ Stop-loss is set 10 pips above the session high.
✅ Take-profit targets liquidity zones on higher timeframes.
📈 Long Entry (London Close Reversal):
✅ Price reaches a higher timeframe discount array between 10:30 AM – 1:00 PM NY Time.
✅ A bullish order block confirms the reversal.
✅ Stop-loss is set 10 pips below the day’s low.
✅ Take-profit targets 20-30% of the daily range retracement.
📉 Asia Open Sell Entry:
✅ Price trades slightly above the 0-GMT Open.
✅ Short entry is taken at resistance, targeting a quick 15-20 pip move.
Why Use This Strategy?
🚀 Institutional Order Flow Tracking – Aligns with smart money concepts.
📊 Precise Session Timing – Uses market structure across London, New York, and Asia.
🎯 High-Probability Entries – Focuses on liquidity grabs and engineered stop hunts.
📉 Optimized Risk Management – Defined stop-loss and take-profit levels.
This strategy is ideal for traders looking to trade with institutions, fade liquidity grabs, and capture high-probability short setups during the trading day. 📉🔥
Fundamental Analysis
20 Day Moving Average with Profit TargetsThis Pine Script indicator plots a 20-day simple moving average (SMA) on the chart and displays profit target labels relative to an initial buy price.
The script allows the user to input a custom buy price and calculates profit levels at 10%, 20%, 30%, and 50% above the buy price. Labels are shown on the last bar of the chart for each profit level and the buy price, with the labels offset to the right to avoid overlapping with the price action.
The labels are color-coded based on the profit levels, and the buy price label is blue.
Pipstocrat Market Participant AnalysisPipstocrat Market Participant Analysis (PMPA) , analyzes the behavior of different types of traders in the market: Hot Money (short-term traders), Smart Money (institutional or professional traders), and Retail Traders . It uses RSI-based calculations to measure their activity and displays the results as colored bars on a chart.
Customizable Colors: Users can change the colors for each type of trader and other visual elements like reference lines.
Reference Lines: Horizontal lines at levels 5 (Support), 10 (Neutral), and 15 (Resistance) help interpret the data.
Focus on RSI: The script simplifies analysis by focusing solely on RSI-based signals.
This tool helps traders quickly identify trends and sentiment in the market, making it easier to spot potential opportunities.
Bitcoin MVRV Z-Score Indicator### **What This Script Does (In Plain English)**
Imagine Bitcoin has a "fair price" based on what people *actually paid* for it (called the **Realized Value**). This script tells you if Bitcoin is currently **overpriced** or **underpriced** compared to that fair price, using math.
---
### **How It Works (Like a Car Dashboard)**
1. **The Speedometer (Z-Score Line)**
- The blue line (**Z-Score**) acts like a speedometer for Bitcoin’s price:
- **Above Red Line** → Bitcoin is "speeding" (overpriced).
- **Below Green Line** → Bitcoin is "parked" (underpriced).
2. **The Warning Lights (Colors)**
- **Red Background**: "Slow down!" – Bitcoin might be too expensive.
- **Green Background**: "Time to fuel up!" – Bitcoin might be a bargain.
3. **The Alarms (Alerts)**
- Your phone buzzes when:
- Green light turns on → "Buy opportunity!"
- Red light turns on → "Be careful – might be time to sell!"
---
### **Real-Life Example**
- **2021 Bitcoin Crash**:
- The red light turned on when Bitcoin hit $60,000+ (Z-Score >7).
- A few months later, Bitcoin crashed to $30,000.
- **2023 Rally**:
- The green light turned on when Bitcoin was around $20,000 (Z-Score <0.1).
- Bitcoin later rallied to $35,000.
---
### **How to Use It (3 Simple Steps)**
1. **Look at the Blue Line**:
- If it’s **rising toward the red zone**, Bitcoin is getting expensive.
- If it’s **falling toward the green zone**, Bitcoin is getting cheap.
2. **Check the Colors**:
- Trade carefully when the background is **red**.
- Look for buying chances when it’s **green**.
3. **Set Alerts**:
- Get notified when Bitcoin enters "cheap" or "expensive" zones.
---
### **Important Notes**
- **Not Magic**: This tool helps spot trends but isn’t perfect. Always combine it with other indicators.
- **Best for Bitcoin**: Works great for Bitcoin, not as well for altcoins.
- **Long-Term Focus**: Signals work best over months/years, not hours.
---
Think of it as a **thermometer for Bitcoin’s price fever** – it tells you when the market is "hot" or "cold." 🔥❄️
XAUUSD Correlation IndicatorXAUUSD Correlation Indicator
Questo indicatore per TradingView calcola e visualizza la correlazione tra il prezzo di XAUUSD (oro) e una serie di altri asset finanziari, tra cui valute (EURUSD, AUDUSD, NZDUSD, GBPUSD), metalli preziosi (platino, argento), indici azionari (SPX500, DJI, NASDAQ) e il dollaro statunitense (DXY).
L'indicatore offre:
1. Correlazione: Calcola la correlazione tra XAUUSD e gli altri asset su un periodo personalizzabile, dove un numero superiore allo 0 indica una correlazione positiva ed un numero inferiore allo 0 indica una correlazione negativa.
2. Variazione percentuale: Mostra la variazione percentuale dei prezzi degli asset rispetto all'apertura.
3. Visualizzazione personalizzabile: Permette di ordinare i dati in base alla correlazione o alla variazione percentuale.
4. Tabella interattiva: I risultati sono visualizzati in una tabella colorata, con opzioni per personalizzare i colori di sfondo, testo e bordi.
Ideale per trader e analisti che vogliono monitorare le relazioni tra l'oro e altri mercati in tempo reale, questo strumento aiuta a identificare opportunità di trading basate su correlazioni e tendenze di mercato.
EZ_Algo Copyright label
This script overlays a fully adjustable watermark on your chart, featuring:
A bold Main Title (e.g., your brand or name) and Subtitle (e.g., a tagline or ID).
Optional extras like a copyright notice, logo symbol, warning message, and chart info (symbol, timeframe, timestamp, or close price).
A subtle repeating overlay pattern to deter theft.
Flexible positioning, sizing, and color options to match your vib
e
It’s built for traders who want to protect their charts and make them stand out, all in a few clicks.
How to Use It
Add to Chart: Click "Add to Chart" and watch the default watermark appear (e.g., "EZ ALGO" at the top).
Customize It:
Main Title: Set your brand (e.g., "EZ ALGO") under "Main Title". Tweak color, size, and alignment.
Subtitle: Add a tagline (e.g., "Algo Trading") and trader ID (e.g., "@EZ_Algo
") with matching style options.
Text Opacity: Adjust "Text Opacity" in "Appearance" to control title and subtitle transparency (0 = solid, 100 = invisible).
Chart Info: Toggle "Show Chart Info" to display symbol and timestamp, or add "Show Close Price" for extra data.
Extras: Enable "Show Copyright" for a © notice, "Show Logo" for a symbol (e.g., ★), or "Show Warning" to shout "DO NOT COPY".
Overlay Pattern: Turn on "Show Overlay Pattern" to repeat a phrase (e.g., "EZ Algo") across the chart.
Positioning: Pick vertical/horizontal spots (top, middle, bottom; left, center, right) or try "Randomize Main Position" for a surprise placement.
Appearance: Set a "Background Color" and "Background Opacity" for the watermark’s backdrop.
Cell Size: Adjust "Cell Width (%)" and "Cell Height (%)" to resize the watermark (0 = auto-fit).
Apply & Share: Hit "OK" to save settings, then screenshot or share your branded chart with confidence!
Tips
Use a semi-transparent background (e.g., 50 opacity) to keep the chart readable.
Experiment with "Randomize Main Position" for a dynamic look.
Pair a bold logo with a faint overlay pattern for max branding power.
Credits
Inspired by @KristaKT
thanks for the great ideas!
Enjoy marking your charts with flair and protection! Questions? Drop a comment below.
RSI + Stochastic + WMA StrategyThis script is designed for TradingView and serves as a trading strategy (not just a visual indicator). It's intended for backtesting, strategy optimization, or live trading signal generation using a combination of popular technical indicators.
📊 Indicators Used in the Strategy:
Indicator Description
RSI (Relative Strength Index) Measures momentum; identifies overbought (>70) or oversold (<30) conditions.
Stochastic Oscillator (%K & %D) Detects momentum reversal points via crossovers. Useful for timing entries.
WMA (Weighted Moving Average) Identifies the trend direction (used as a trend filter).
📈 Trading Logic / Strategy Rules:
📌 Long Entry Condition (Buy Signal):
All 3 conditions must be true:
RSI is Oversold → RSI < 30
Stochastic Crossover Upward → %K crosses above %D
Price is above WMA → Confirms uptrend direction
👉 Interpretation: Market was oversold, momentum is turning up, and price confirms uptrend — bullish entry.
📌 Short Entry Condition (Sell Signal):
All 3 conditions must be true:
RSI is Overbought → RSI > 70
Stochastic Crossover Downward → %K crosses below %D
Price is below WMA → Confirms downtrend direction
👉 Interpretation: Market is overbought, momentum is turning down, and price confirms downtrend — bearish entry.
🔄 Strategy Execution (Backtesting Logic):
The script uses:
pinescript
Copy
Edit
strategy.entry("LONG", strategy.long)
strategy.entry("SHORT", strategy.short)
These are Pine Script functions to place buy and sell orders automatically when the above conditions are met. This allows you to:
Backtest the strategy
Measure win/loss ratio, drawdown, and profitability
Optimize indicator settings using TradingView Strategy Tester
📊 Visual Aids (Charts):
Plots WMA Line: Orange line for trend direction
Overbought/Oversold Zones: Horizontal lines at 70 (red) and 30 (green) for RSI visualization
⚡ Strategy Type Summary:
Category Setting
Strategy Type Momentum Reversal + Trend Filter
Timeframe Flexible (Works best on 1H, 4H, Daily)
Trading Style Swing/Intraday
Risk Profile Medium to High (due to momentum triggers)
Uses Leverage Possible (adjust risk accordingly)
Enhanced HHLL Time Confirmation with EMAStrong recommendation , remove the green and red circle , or leave it how it is ;)
To be used on 1 minute chart MSTR , Stock
other time frames are good , ;)
How to Use
HHLL Signals: Look for green triangles (buy) below bars or red triangles (sell) above bars to identify confirmed HH/LL setups with trend alignment.
EMA Signals: Watch for lime circles (buy) below bars or maroon circles (sell) above bars when price crosses the EMA 400 in a trending market.
Trend Context: Use the EMA 400 as a dynamic support/resistance level and the SMA trend filter to gauge market direction.
Enable alerts to get notified of signals in real-time.
Best Practices
Adjust the Lookback Period and Confirmation Minutes to suit your timeframe (e.g., shorter for scalping, longer for swing trading).
Combine with other indicators (e.g., volume, RSI) for additional confirmation.
Test on your preferred market and timeframe to optimize settings.
Indicator Description: Enhanced HHLL Time Confirmation with EMA
Overview
The "Enhanced HHLL Time Confirmation with EMA" is a versatile trading indicator designed to identify key reversal and continuation signals based on Higher Highs (HH), Lower Lows (LL), and a 400-period Exponential Moving Average (EMA). It incorporates time-based confirmation and trend filters to reduce noise and improve signal reliability. This indicator is ideal for traders looking to spot trend shifts or confirm momentum with a combination of price structure and moving average crossovers.
Key Features
Higher High / Lower Low Detection:
Identifies HH and LL based on a customizable lookback period (default: 30 bars).
Signals are confirmed only after a user-defined time period (in minutes, default: 60) has passed since the last HH or LL, ensuring stability.
Trend Filter:
Uses a fast (10-period) and slow (30-period) Simple Moving Average (SMA) crossover to confirm bullish or bearish trends.
Buy signals require a bullish trend (Fast SMA > Slow SMA), and sell signals require a bearish trend (Fast SMA < Slow SMA).
EMA 400 Integration:
Plots a 400-period EMA (customizable) as a long-term trend reference.
Generates additional buy/sell signals when price crosses above (buy) or below (sell) the EMA 400, filtered by trend direction.
Visualizations:
Optional dashed lines for HH and LL levels (toggleable).
Debug markers (diamonds) to visualize HH/LL detection points.
Distinct signal shapes: triangles for HHLL signals (green/red) and circles for EMA signals (lime/maroon).
Alerts:
Built-in alert conditions for HHLL Buy/Sell and EMA Buy/Sell signals, making it easy to stay informed of key events.
Input Parameters
Lookback Period (default: 30): Number of bars to look back for HH/LL detection.
Confirmation Minutes (default: 60): Time (in minutes) required to confirm HH/LL signals.
High/Low Source: Select the price source for HH (default: high) and LL (default: low).
Show HH/LL Lines (default: true): Toggle visibility of HH/LL dashed lines.
Show Debug Markers (default: true): Toggle HH/LL detection markers.
EMA Period (default: 400): Adjust the EMA length.
FVG Detector by SZEMEK>>> DESCRIPTION IN ENGLISH
An advanced indicator for the TradingView platform designed to detect and visualize Fair Value Gaps (FVG) and Inversion Fair Value Gaps (iFVG) on charts.
Main Features:
1. FVG Detection:
- The script identifies both bullish and bearish Fair Value Gaps.
- Users can choose which types of FVG to display (Bullish, Bearish, both, or none).
2. FVG Visualization:
- Gaps are represented as rectangular boxes on the chart.
- The color and transparency of the boxes are configurable separately for bullish and bearish FVG.
- The option to add a frame to FVG boxes with separate color settings.
- FVG labels are available with configurable colors and sizes.
3. Dynamic Tracking of FVG Fill:
- The script monitors the extent to which each gap has been filled by subsequent price movements.
- The fill level is visualized using gray overlay on the original FVG box.
- The percentage fill is updated on the label.
4. Automatic Removal of FVG:
- The ability to set a percentage threshold (100%, 75%, 50%, or no removal) after which FVG is removed from the chart.
5. iFVG Detection:
- The script also identifies Inversion Fair Value Gaps (iFVG), which can be displayed as separate boxes.
- iFVG are available in bullish and bearish versions.
- Users can choose which types of iFVG to display (Bullish, Bearish, both, or none).
- iFVG can also have labels and frames.
6. Limitation of Checked Candles:
- Users can specify the maximum number of candles back that the script will analyze for FVG and iFVG.
- Alerts: The indicator allows setting alerts for detected iFVG, both bullish and bearish.
Advanced Features:
- Accurate calculation of FVG fill percentage, considering both wicks and candle bodies.
- Dynamic updating of FVG boxes and their labels in real-time.
- Flexible memory management through the removal of outdated or filled FVG.
- The ability to customize the appearance of iFVG, including colors, labels, and frames.
This script serves as an advanced tool for technical analysis, enabling traders to identify potential support and resistance areas based on the concept of Fair Value Gaps and their inverted versions.
>>> DESCRIPTION IN ENGLISH
Zaawansowany wskaźnik dla platformy TradingView, który służy do wykrywania i wizualizacji luk wartości godziwej (Fair Value Gaps, FVG) oraz odwróconych luk wartości godziwej (Inversion Fair Value Gaps, iFVG) na wykresie.
Główne cechy
1. Wykrywanie FVG:
- Skrypt identyfikuje zarówno bycze (Bullish), jak i niedźwiedzie (Bearish) luki wartości godziwej.
- Użytkownik może wybrać, które typy FVG mają być wyświetlane (Bullish, Bearish, oba lub żadne).
2. Wizualizacja FVG:
- Luki są przedstawiane jako prostokątne boxy na wykresie.
- Kolor i przezroczystość boxów są konfigurowalne osobno dla FVG byczych i niedźwiedzich.
- Możliwość dodania ramki do boxów FVG z osobnymi ustawieniami kolorów.
- Etykiety FVG są dostępne z konfigurowalnymi kolorami i rozmiarami.
3. Dynamiczne śledzenie wypełnienia FVG:
- Skrypt monitoruje, w jakim stopniu każda luka została wypełniona przez późniejsze ruchy ceny.
- Stopień wypełnienia jest wizualizowany za pomocą szarego koloru nakładanego na oryginalny box FVG.
- Procent wypełnienia jest aktualizowany na etykiecie.
4. Automatyczne usuwanie FVG:
- Możliwość ustawienia progu procentowego (100%, 75%, 50% lub brak usuwania), po którego przekroczeniu FVG jest usuwany z wykresu.
5. Wykrywanie iFVG:
- Skrypt dodatkowo identyfikuje odwrócone luki wartości godziwej (iFVG), które mogą być wyświetlane jako osobne boxy.
- iFVG są dostępne w wersji byczej i niedźwiedziej.
- Użytkownik może wybrać, które typy iFVG mają być wyświetlane (Bullish, Bearish, oba lub żadne).
- iFVG również mogą mieć etykiety i ramki.
6. Ograniczenie sprawdzanych świec:
- Użytkownik może określić maksymalną liczbę świec wstecz, które skrypt będzie analizował w poszukiwaniu FVG i iFVG.
- Alerty: Wskaźnik umożliwia ustawienie alertów dla wykrytych luk iFVG, zarówno bullish, jak i bearish.
Zaawansowane funkcje
- Dokładne obliczanie procentu wypełnienia FVG, uwzględniające zarówno knoty, jak i ciała świec.
- Dynamiczne aktualizowanie boxów FVG i ich etykiet w czasie rzeczywistym.
- Elastyczne zarządzanie pamięcią poprzez usuwanie nieaktualnych lub wypełnionych FVG.
- Możliwość dostosowania wyglądu iFVG, w tym kolorów, etykiet i ramki.
Skrypt ten stanowi zaawansowane narzędzie do analizy technicznej, umożliwiające traderom identyfikację potencjalnych obszarów wsparcia i oporu bazujących na koncepcji luk wartości godziwej i ich odwróconych wersjach.
Global M2 Money Supply (USD) GrowthThe Global M2 Growth indicator evaluates the total liquid money supply, including cash, checking deposits, and assets that can be easily converted to cash. It reflects changes in global liquidity by tracking year-on-year (YoY) changes in the Global M2 money supply rather than its absolute value. This approach highlights the velocity of liquidity expansion or contraction, offering a clearer understanding of its correlation with asset performance, such as Bitcoin.
How It Works
When the Global M2 money supply expands, it reflects an increase in available liquidity. This often leads to an influx of capital into higher-yielding and riskier assets like Bitcoin, equities, and commodities. Conversely, when M2 contracts, liquidity tightens, leading to declines in the values of these assets.
An essential insight is that Bitcoin's price is not immediately affected by changes in M2. Research shows a lag of approximately 56-60 days (around two months) between liquidity changes and Bitcoin's price movements. Shifting the liquidity data forward by this period improves the correlation between Global M2 and Bitcoin performance.
How to Use
Track Global M2 YoY Change: Focus on liquidity's yearly change to identify trends. Rapid increases in liquidity often signify favorable conditions for Bitcoin and other risk assets to rise, while contractions often predict price declines or consolidation phases.
Account for the Lag Effect: Incorporate the two-month lag into your analysis to predict Bitcoin's potential moves more accurately. For instance, a recent resurgence in liquidity growth could signal a Bitcoin rally within the next two months.
Use as a Macro Indicator: Monitor liquidity trends alongside other economic indicators and asset performance metrics to build a more comprehensive investment framework.
By tracking these dynamics, traders and investors can better anticipate Bitcoin's trajectory and make informed decisions.
Binance Leveraged Liquidations ApproximationBinance Leveraged Liquidations Approximation (BLLA)
The Binance Leveraged Liquidations Approximation (BLLA) indicator is a tool designed to estimate liquidation levels for leveraged trading on Binance. It calculates the approximate prices at which liquidations could occur for long and short positions, based on the entry price and leverage levels selected by the user.
Key Features:
Liquidation Level Calculation:
Estimates liquidation prices for multiple leverage levels (e.g., 20x, 10x, 5x, etc.).
Supports both long and short positions.
Customization:
Allows the user to manually input the entry price or automatically calculate it as the midpoint between the low and high of a defined period.
Leverage levels are configurable, enabling the indicator to adapt to different trading strategies.
Clear Visualization:
Displays liquidation levels directly on the chart, with labels indicating the corresponding leverage.
Uses distinct colors for long positions (yellow) and short positions (blue).
Recommended Use:
Risk Management: Helps identify liquidation levels to adjust stop-loss orders and manage risk in leveraged trading.
Market Analysis: Provides a quick overview of key levels where significant price movements might occur due to mass liquidations.
Settings:
Entry Price: Enter manually or leave at 0.0 to calculate automatically.
Leverage: Configure desired leverage levels (e.g., 20x, 10x, 5x, etc.).
Transparency and Display: Adjust the transparency of the lines and the number of bars displayed.
Quick Instructions:
Add the indicator to your chart.
Enter the entry price or leave it at 0.0 to calculate automatically.
Configure leverage levels according to your strategy.
Observe liquidation levels on the chart and use them to manage your risk.
Note:
This indicator is an approximation and does not guarantee absolute accuracy of liquidation levels, as these may vary depending on market conditions and exchange policies.
Quantitative Easing and Tightening PeriodsQuantitative Easing (QE) and Quantitative Tightening (QT) periods based on historical events from the Federal Reserve:
Quantitative Easing (QE) Periods:
QE1:
Start: November 25, 2008
End: March 31, 2010
Description: The Federal Reserve initiated QE1 in response to the financial crisis, purchasing mortgage-backed securities and Treasuries.
QE2:
Start: November 3, 2010
End: June 29, 2011
Description: QE2 involved the purchase of $600 billion in U.S. Treasury bonds to further stimulate the economy.
QE3:
Start: September 13, 2012
End: October 29, 2014
Description: QE3 was an open-ended bond-buying program with monthly purchases of $85 billion in Treasuries and mortgage-backed securities.
QE4 (COVID-19 Pandemic Response):
Start: March 15, 2020
End: March 10, 2022
Description: The Federal Reserve engaged in QE4 in response to the economic impact of the COVID-19 pandemic, purchasing Treasuries and MBS in an effort to provide liquidity.
Quantitative Tightening (QT) Periods:
QT1:
Start: October 1, 2017
End: August 1, 2019
Description: The Federal Reserve began shrinking its balance sheet in 2017, gradually reducing its holdings of U.S. Treasuries and mortgage-backed securities. This period ended in August 2019 when the Fed decided to stop reducing its balance sheet.
QT2:
Start: June 1, 2022
End: Ongoing (as of March 2025)
Description: The Federal Reserve started QT again in June 2022, reducing its holdings of U.S. Treasuries and MBS in response to rising inflation. The Fed has continued this tightening cycle.
These periods are key moments in U.S. monetary policy, where the Fed either injected liquidity into the economy (QE) or reduced its balance sheet by not reinvesting maturing securities (QT). The exact dates and nature of these policies may vary based on interpretation and adjustments to the Fed's actions during those times.
M2 Global Liquidity Index - 10 Week Lead
M2 Global Liquidity Index - Forward Projection (10 Weeks)
This indicator provides a 10-week forward projection of the M2 Global Liquidity Index, offering traders insight into potential future market conditions based on global money supply trends.
What This Indicator Shows
The M2 Global Liquidity Index aggregates M2 money stock data from five major economies:
- China (CNY)
- United States (USD)
- European Union (EUR)
- Japan (JPY)
- Great Britain (GBP)
All values are converted to USD and presented as a unified global liquidity metric, providing a comprehensive view of worldwide monetary conditions.
Forward Projection Feature
This adaptation displays the indicator 10 weeks ahead of the current price, allowing you to visualize potential future liquidity conditions that might influence market behavior. The projection maintains data integrity while providing an advanced view of the liquidity landscape.
Trading Applications
- Anticipate potential market reactions to changing global liquidity conditions
- Identify divergences between projected liquidity and current price action
- Develop longer-term strategic positions based on forward liquidity projections
- Enhance your macro-economic analysis toolkit
Credit
This indicator is an adaptation of the original "M2 Global Liquidity Index" created by Mik3Christ3ns3n. Full credit for the original concept and implementation goes to the original author. This version simply adds a 10-week forward projection to the existing calculations.
Disclaimer
This indicator is for informational purposes only and should be used as one of many tools in your analysis. Past performance and projections are not guarantees of future results.
MVRV Z-Score | Vistula LabsWhat is MVRV?
MVRV (Market Value to Realized Value) is a fundamental on-chain metric used to assess the relative valuation of cryptocurrencies, particularly Bitcoin and Ethereum. This ratio compares the current market value (market capitalization) to the realized value (an approximation of the average price at which all coins were last moved).
Market Value : The total market capitalization of the cryptocurrency (current price × circulating supply)
Realized Value : The sum of the market value of all coins valued at the price they last moved on-chain
When MVRV is high, it suggests the market may be overvalued relative to the price investors paid for their coins, potentially indicating a market top. Conversely, a low MVRV ratio may signal undervaluation and a potential market bottom.
How MVRV is Calculated for BTC & ETH
The MVRV ratio for both Bitcoin and Ethereum is sourced directly from IntoTheBlock's data feed in this indicator:
For Bitcoin: INTOTHEBLOCK:BTC_MVRV
For Ethereum: INTOTHEBLOCK:ETH_MVRV
This indicator transforms the raw MVRV data into a Z-Score, which measures how many standard deviations the current MVRV value is from its historical mean over a specified period. The Z-Score calculation uses a moving average (customizable between SMA, EMA, DEMA, RMA, WMA, or VWMA) and standard deviation over the specified lookback period.
Z-Score formula: (Current MVRV - Moving Average of MVRV) / Standard Deviation of MVRV
How This Indicator Can Be Used
1. Trend Following
The MVRV Z-Score indicator implements a trend-following system with customizable thresholds:
Long signals are generated when the Z-Score crosses above the Long Threshold (default: 0.56)
Short signals are generated when the Z-Score crosses below the Short Threshold (default: -0.28)
These signals are visually represented by:
Green up-triangles for long entries
Red down-triangles for short entries
Color-coded candles and Z-Score plot (teal for long positions, magenta for short positions)
The trend signals help identify potential momentum shifts in the market based on historical MVRV behavior.
2. Overbought/Oversold Conditions
The indicator identifies extreme market conditions using two additional thresholds:
Overbought threshold (default: 3.0): When the Z-Score exceeds this value, the market may be significantly overvalued, suggesting potential selling pressure ahead. These zones are highlighted with a light magenta background.
Oversold threshold (default: -2.0): When the Z-Score falls below this value, the market may be significantly undervalued, suggesting potential buying opportunities. These zones are highlighted with a light teal background.
These extreme readings have historically coincided with major market tops and bottoms, making them valuable for medium to long-term position management.
Customization Options
The indicator offers several customization options:
Cryptocurrency source selection (BTC or ETH)
Moving average type and length for the MVRV calculation
Z-Score lookback period
Adjustable thresholds for long/short signals and overbought/oversold conditions
These parameters allow traders to fine-tune the indicator to their specific trading strategy and risk tolerance.
Alerts
The indicator includes four alert conditions:
MVRV Long Opportunity
MVRV Short Opportunity
MVRV Overbought Condition
MVRV Oversold Condition
These alerts can help traders stay informed of potential trading opportunities without constant chart monitoring.
FinFluential Global M2 Money Supply // Days Offset =The "Global M2 Money Supply" indicator calculates and visualizes the combined M2 money supply from multiple countries and regions worldwide, expressed in trillions of USD.
M2 is a measure of the money supply that includes cash, checking deposits, and easily convertible near-money assets. This indicator aggregates daily M2 data from various economies, converts them into a common USD base using forex exchange rates, and plots the total as a single line on the chart.
It is designed as an overlay indicator aligned to the right scale, making it ideal for comparing global money supply trends with price action or other market data.
Key Features
Customizable Time Offset: Users can adjust the number of days to shift the M2 data forward or backward (from -1000 to +1000 days) via the indicator settings. This allows for alignment with historical events or forward-looking analysis.
Global Coverage Includes:
Eurozone: Eurozone M2 (converted via EUR/USD)
North America: United States, Canada
Non-EU Europe: Switzerland, United Kingdom, Finland, Russia
Pacific: New Zealand
Asia: China, Taiwan, Hong Kong, India, Japan, Philippines, Singapore
Latin America: Brazil, Colombia, Mexico
Middle East: United Arab Emirates, Turkey
Africa: South Africa
Cash Flow YieldsCash Flow Yields Indicator
This indicator offers a straightforward way to visualize a company’s cash flow metrics—Free Cash Flow (FCF), Operating Cash Flow (OCF), and Capital Expenditures (CapEx)—as yields relative to its market capitalization. With the flexibility to switch between Trailing Twelve Months (TTM) and Quarterly data, it’s perfect for spotting financial efficiency trends at a glance. Values are plotted as dynamic lines with smart color coding and labeled for clarity.
Features:
TTM & Quarterly Data: Toggle between financial periods to suit your analysis.
Color-Coded Lines: Green for positive OCF, teal for positive FCF, and blue for CapEx. Red and maroon kick in when values turn negative.
Yield Perspective: See FCF, OCF, and CapEx as percentages of market cap, making it easy to compare cash flow strength across companies.
Clear Labels: The latest values pop up on the chart, positioned to the right of the last bar.
Simple & Intuitive: No clutter - just clean lines and numbers to help you focus on what matters.
To use it, add it to your chart and toggle between TTM or Quarterly to see trends. FCF should roughly equal OCF minus CapEx. Adjust your view to focus on companies with strong FCF yields for potential opportunities.
This indicator is freely available and open-source on TradingView for everyone to use. Enjoy!
PE Ratio & MAPE Ratio & Moving Average Indicator
Overview:
This indicator is designed to help traders monitor changes in a stock’s Price-to-Earnings (P/E) ratio using earnings per share data provided by TradingView’s financial database. It displays the raw P/E ratio alongside a smoothed trend line in a dedicated pane, allowing you to observe valuation trends over time.
Key Features:
Customizable Earnings Period: Choose your preferred earnings period (e.g., TTM, Fiscal Year, or Fiscal Quarter) to match your analysis style.
Real-Time P/E Calculation: The indicator computes the P/E ratio based on the latest available data and the current closing price.
Smoothed Trend Line: In addition to the raw P/E ratio, a smoothed moving line is plotted to help you easily identify underlying trends and turning points.
Alert Conditions: Built-in alert settings notify you when the P/E ratio shows significant directional changes, enabling you to react quickly to market shifts.
User-Friendly Interface: Simple inputs make customization straightforward, even if you’re not a coding expert.
The indicator has been thoroughly tested and is designed to accurately calculate and display the P/E Ratio in real-time , ensuring reliability in various market conditions..
Users can fully customize the indicator by adjusting the earnings period (TTM, Fiscal Year, or Fiscal Quarter) and smoothing parameters to match their analysis style and preferences.
The moving average smoothing options allow traders to fine-tune the trend line for a more accurate representation of the stock’s valuation.
How to Use:
Add the Indicator: Apply it to your TradingView chart to see the P/E ratio and its trend line displayed in a separate pane.
Customize Settings: Adjust the earnings period as needed using the input options.
Set Up Alerts: Configure alerts through TradingView’s Alerts panel to be notified when key changes occur in the P/E ratio’s behavior.
Integrate with Your Strategy: Use this tool in combination with your other technical and fundamental analysis methods to make more informed trading decisions.
Disclaimer:
This indicator is for informational and educational purposes only and does not constitute financial advice. Always conduct your own research before making any trading decisions.
EMA Ribbon with 100 MA BY TIJUThe EMA Ribbon with 100 MA is a powerful and visually intuitive indicator designed to help traders identify trends, momentum, and potential support/resistance levels using multiple Exponential Moving Averages (EMAs). By plotting a series of EMAs with varying periods, the script creates a "ribbon" effect on the chart, making it easier to spot trend direction and strength at a glance.
Key Features:
Multiple EMAs for Trend Analysis:
The script plots 8 EMAs with periods ranging from 20 to 55, creating a gradient ribbon effect.
The 100-period EMA is added as a thick blue line, acting as a key level for long-term trend analysis.
Customizable Periods:
Each EMA period is fully customizable, allowing traders to tailor the indicator to their preferred trading style and timeframe.
Visual Clarity:
The EMAs are color-coded, making it easy to distinguish between different periods and identify the overall trend direction.
Dynamic Support/Resistance:
The EMAs act as dynamic support and resistance levels, helping traders identify potential entry and exit points.
Drop Candles Feature:
The script includes an option to drop the first N candles, ensuring cleaner calculations and avoiding false signals during the initial periods.
How to Use:
Trend Identification:
Uptrend: When the shorter-period EMAs are stacked above the longer-period EMAs, it indicates a strong uptrend.
Downtrend: When the longer-period EMAs are stacked above the shorter-period EMAs, it indicates a strong downtrend.
Consolidation: When the EMAs are intertwined, it suggests a sideways or weak trend.
Support/Resistance Levels:
Use the EMAs as dynamic support/resistance levels. For example, in an uptrend, the price may bounce off the lower EMAs.
100-Period EMA:
The 100-period EMA (thick blue line) acts as a key level for long-term trend analysis. A price above this line suggests a bullish bias, while a price below suggests a bearish bias.
Customization:
Adjust the EMA periods and colors to suit your trading strategy.
Use the Drop first N candles option to avoid false signals during the initial periods.
Example Use Cases:
Trend Following:
Enter long positions when the price is above the EMA ribbon and the EMAs are stacked in an uptrend.
Enter short positions when the price is below the EMA ribbon and the EMAs are stacked in a downtrend.
Dynamic Support/Resistance:
Use the EMAs as dynamic support/resistance levels for setting stop-loss or take-profit targets.
Confirmation Tool:
Combine the EMA Ribbon with other indicators (e.g., RSI, MACD) to confirm trade signals.
Settings:
MA-1 to MA-8 Periods: Adjust the periods for the 8 EMAs (default: 20, 25, 30, 35, 40, 45, 50, 55).
MA-100 Period: Adjust the period for the 100 EMA (default: 100).
Source: Choose the price source for the EMAs (default: Close).
Drop First N Candles: Drop the first N candles to avoid false signals (default: 1).
Why Use EMA Ribbon ?
Versatility: Suitable for all trading styles (scalping, day trading, swing trading) and timeframes.
Visual Appeal: The color-coded ribbon makes it easy to interpret the trend at a glance.
Customizable: Tailor the indicator to your specific trading strategy.
Dynamic Levels: Use the EMAs as dynamic support/resistance levels for better risk management.
TILT - Timed Index of Liquidity TrendsThe Timed Index of Liquidity Trends (TILT) is a tracking tool for high-market cap, high-volatility assets like Bitcoin (BTCUSD), the S&P 500 (SPY), the Nasdaq 100 (QQQ), and Gold. Liquidity drives markets; understanding when liquidity is expanding or contracting can help traders anticipate major market swings with greater confidence.
TILT’s M2 Calculation
TILT is based on a global M2 money supply proxy, which aggregates liquidity conditions from major economies. Since TradingView does not provide direct M2 data for all regions, the indicator uses market-based proxies instead:
🇺🇸 United States – S&P 500 Index (SPX)
🇨🇦 Canada – TSX Composite Index (TSX)
🇪🇺 Eurozone – EUR/USD Exchange Rate (EURUSD)
🇬🇧 United Kingdom – GBP/USD Exchange Rate (GBPUSD)
🇷🇺 Russia – Moscow Exchange Index (MOEX)
🇨🇳 China – China 50 Index (CN50USD)
🇯🇵 Japan – Nikkei 225 Index (JPN225)
🇦🇺 Australia – Gold (XAUUSD) as a liquidity proxy
🇮🇳 India – Nifty 50 Index (NIFTY)
🇰🇷 South Korea – KOSPI Index (KOSPI)
🇧🇷 Brazil – Bovespa Index (IBOV)
🇿🇦 South Africa – USD/ZAR Exchange Rate (USDZAR)
By summing these liquidity proxies, TILT provides a comprehensive view of global M2 conditions, allowing traders to see when money supply is expanding (bullish liquidity conditions) or contracting (bearish liquidity conditions).
How to Use TILT for Trading High-Volatility Assets
TILT is not a traditional price indicator. It is a macro tool designed to show whether liquidity is flowing into or out of the financial system. Assets like Bitcoin, QQQ, and Gold tend to perform well when liquidity is expanding and decline when liquidity is contracting.
₿ Bitcoin (BTCUSD) – The Ultimate Liquidity Sponge
Bitcoin thrives on excess liquidity because it is still a speculative asset with no central authority.
· Liquidity Expanding → BTC tends to rise, as speculative capital flows in.
· Liquidity Contracting → BTC struggles or enters a bear market as leverage dries up.
Example Use Case: If TILT turns green (expanding liquidity) and BTC is near a technical support zone, it may indicate a buying opportunity before the next rally.
📊 S&P 500 (SPY) & Nasdaq 100 (QQQ) – Growth & Risk Appetite
These indices are heavily influenced by liquidity conditions because they represent growth stocks and corporate credit access.
· SPY (🇺🇸) → Moves based on global liquidity, particularly Fed policy & M2 expansion.
· QQQ (🇺🇸) → Even more sensitive than SPY due to high exposure to tech stocks.
Example Use Case: If TILT shows liquidity expansion, QQQ often leads SPY higher, providing early signals for market-wide risk-on behavior.
🥇 Gold – Liquidity & Inflation Hedge
Gold is a monetary asset, meaning it benefits from liquidity expansion and inflation fears.
· Liquidity Expanding → Gold can rally as real yields decline.
· Liquidity Contracting → Gold struggles, especially if real yields rise.
Example Use Case: If TILT turns red (liquidity contracting) and bond yields are rising, gold could enter a bearish phase.
⏱️ Timing Market Swings with the Offset Function
The offset function in TILT allows traders to shift liquidity data forward or backward in time to find the best correlation with price action. However, the offset is not fixed and should be re-evaluated periodically to ensure it remains optimized as a leading indicator. Liquidity cycles and market conditions change over time, meaning an offset that worked well in one period may need adjustment in another.
🤔 Why Use an Offset?
Liquidity moves markets with a lag – The effect of M2 expansion/contraction takes time to show up in risk assets.
Finding the right lag helps confirm liquidity-driven price moves – This is crucial for Bitcoin, QQQ, and Gold, which react differently to liquidity shifts.
Since liquidity conditions evolve, the offset should be adjusted from time to time to maintain predictive accuracy.
👋 How to Fit the Offset Using Vertical Reference Lines
The best way to optimize the offset is by testing historical liquidity cycles and using vertical reference lines (and/or the Date Range tool) to align liquidity trends with major price swings.
Step 1: Plot TILT and the asset you’re analyzing (e.g., BTCUSD) on the same chart.
Step 2: Add vertical lines on significant price reversals (major tops & bottoms).
Step 3: Adjust TILT’s offset forward or backward to see if liquidity trends lead or lag those reversals.
Step 4: Periodically revisit the offset setting to ensure it still aligns well with current market conditions.
Example: If BTC topped 10 bars after TILT turned red, you might set the offset to +10 to better align liquidity changes with price action. If, over time, BTC begins reacting faster or slower to liquidity shifts, the offset should be updated accordingly.
💡 Advanced Tips for TILT Users
· Combine TILT With Sentiment Indicators Like the Fear & Greed Index
· Low Fear & Expanding Liquidity → Strong buy signal for BTC & risk assets
· High Greed & Contracting Liquidity → Caution: Market topping signal
· Use With Volume & On-Chain Metrics for BTC
· Rising TILT + Increasing BTC Volume → Confirms strong accumulation
· TILT Falling + Weak BTC Volume → Potential distribution & market risk
· Watch for Divergences
If BTC makes a new high but TILT is falling, it could indicate a liquidity-driven market top.
If BTC makes a new low but TILT is rising, it could indicate a bottom forming.
Conclusion: TILT = The Macro Liquidity Key for Volatile Assets
TILT is an effective tool for timing market swings in Bitcoin, QQQ, SPY, and Gold, as these assets are highly sensitive to liquidity cycles.
· Tracks global M2 trends using liquidity proxies from major economies
· Helps confirm major tops & bottoms in risk assets
· Offset function allows precise timing of liquidity-driven market moves
· Offset should be reviewed periodically to maintain optimal accuracy
· Pairs well with sentiment tools like the Fear & Greed Index for crypto
By using TILT correctly, traders can anticipate major market turns and position ahead of liquidity-driven moves.
Gabriel's Global Market CapGabriel's Global Market Cap is a comprehensive financial indicator designed to track and analyze the total market capitalization across multiple asset classes. It incorporates various financial markets, including stocks, bonds, real estate, cryptocurrencies, commodities, derivatives, private equity, insurance, OTC markets, and natural resources, to provide a holistic view of global market dynamics.
This indicator integrates Ehlers' Adaptive Dominant Cycle Detection and a custom VIX formula to adjust market values based on volatility and volume fluctuations, allowing for a more refined understanding of market conditions.
Key Features
✅ Multi-Market Analysis – Tracks 10+ global financial sectors, each represented by a key ETF or index.
✅ Normalization & Readability – Converts market cap values into an easy-to-read format (Millions, Billions, Trillions, Quadrillions).
✅ Volatility & Volume Adjustments – Optional VIX-based smoothing and relative volume adjustment for more dynamic readings.
✅ Ehlers’ Cycle Detection – Utilizes dominant cycle length detection to uncover market rhythms and cyclic behavior.
✅ Risk Thresholds & Background Coloring – Identifies overbought and oversold conditions with cyclic bands and background shading.
✅ Customizable Inputs – Users can toggle different market categories on/off for focused analysis.
✅ Interactive Data Table – Displays real-time values for each asset class in a structured table format.
Market Categories & Data Sources
📈 Global Stock Market – iShares MSCI ACWI ETF (ACWI)
💰 Global Bond Market – Vanguard Total World Bond ETF (BNDW)
🏡 Real Estate Market – iShares Global REIT ETF (REET)
₿ Cryptocurrency Market – Total Crypto Market Cap (CRYPTOCAP:TOTAL)
🌾 Commodities Market – Invesco DB Commodity Index Fund (DBC)
📊 Derivatives Market – CME Group (CME)
🏦 Private Equity & VC – ProShares Global Listed Private Equity ETF (PEX)
🛡️ Insurance Market – SPDR S&P Insurance ETF (KIE)
💹 OTC Markets – OTC Markets Group (OTCM)
⛽ Natural Resources – iShares Global Energy ETF (IXC)
Technical Enhancements
1️⃣ Custom Volatility Index (VIX) Calculation (Work In Progress)
Adjusts asset values based on volatility conditions using Ehlers' Cycle Detection.
Higher VIX reduces market cap, while lower VIX stabilizes it.
2️⃣ Adaptive Market Normalization
Converts absolute market values into a relative strength scale (0-100) for better visual analysis.
Uses historical min/max values to adjust dynamically.
3️⃣ Cyclic Analysis & Overbought/Oversold Levels
Detects hidden market rhythms & time cycles.
Calculates upper and lower risk bands based on dominant cycle length.
Applies background shading for visualizing low or high risk periods.
Customization Options
🔧 Enable/Disable Market Categories – Select which asset classes to track.
📊 Toggle VIX & Volume Smoothing – Adjust how market cap reacts to volatility & volume.
🎨 Cyclic Risk Bands – Highlight overbought/oversold conditions with dynamic background colors.
Visual Elements
📉 Market Cap Trends – Each category is plotted with a unique color.
🌎 Total Global Value (TGV) – A combined index representing all selected markets.
🎨 Background Coloring – Indicates high/low risk periods.
📋 Real-Time Data Table – Displays normalized & raw market cap values in an easy-to-read format.
Practical Applications
📊 Macroeconomic Analysis – Track global liquidity and investment shifts across asset classes.
💹 Volatility & Risk Assessment – Identify high-risk market conditions based on cyclic behavior.
📈 Cross-Market Comparisons – See which sectors are leading or lagging in value growth.
🔍 Crypto & Stock Market Trends – Analyze how traditional and digital assets correlate.
On-Chain Momentum | QuantumResearch QuantumResearch On-Chain Momentum Indicator
The On-Chain Momentum Indicator is a unique macro-market analysis tool that aggregates multiple on-chain signals to provide insights into Bitcoin’s fundamental market trends. By leveraging real-time on-chain metrics, this indicator helps traders and investors gauge market momentum, capital flows, and potential trend shifts. 🚀📊
⚠️ This script is manually updated to ensure that the latest on-chain data is accurately reflected. The underlying data is extracted from a Google Spreadsheet that tracks various on-chain indicators.
1. Data Sources & Methodology
This indicator consolidates four major on-chain categories, each derived from multiple fundamental Bitcoin metrics:
📌 On-Chain Activity
Miner Revenue Momentum
Exchange Inflow Momentum
📌 Market Profitability
Supply in Profit Momentum
MVRV Momentum
AVIV Momentum
STH-MVRV Momentum
📌 Spending Behavior
SOPR Momentum
Realized Profit/Loss Ratio Momentum
📌 Wealth Distribution
SLRV Ribbons Momentum
Data Extraction Process:
The raw on-chain data is processed and aggregated within a Google Spreadsheet, which applies momentum calculations to each metric.
The results are then manually updated in this script to ensure an accurate reflection of on-chain trends.
The script assigns a momentum value (+1 for bullish, -1 for bearish) based on pre-defined historical trend patterns.
2. How It Works
A. On-Chain Market Regimes
The script analyzes historical on-chain behavior to determine whether the market is in a bullish or bearish phase.
Each major transition is manually updated based on on-chain macro shifts.
Market phases are categorized based on miner revenue, exchange flows, profitability, spending behavior, and wealth distribution trends.
B. Trend Identification & Signal Generation
Bullish Trend: If on-chain momentum metrics confirm strong accumulation behavior, the indicator turns green (Long). ✅
Bearish Trend: If on-chain momentum suggests distribution or capitulation, the indicator turns red (Short). ❌
Neutral Phase: If on-chain activity is mixed or inconclusive, the indicator remains gray (No clear signal). ⚪
C. Manually Updated On-Chain Data Integration
Unlike standard automated indicators, this script requires periodic manual updates to incorporate the most recent on-chain data.
This ensures that the indicator remains aligned with the latest fundamental trends.
The historical momentum shifts are carefully mapped based on previous on-chain cycles.
3. Visual Representation
A. Color-Coded Momentum Signals
Green Bars: Strong positive on-chain momentum 🟢
Blue Bars: Weak or negative on-chain momentum 🔴
B. Time-Based Macro Shifts
Each major historical period is defined based on key on-chain shifts.
The script provides clear visual segmentation of past macro-regimes.
C. Trend-Based Alerts
Long Signal: When on-chain data turns strongly bullish.
Short Signal: When on-chain data turns bearish.
Alerts notify traders when a new macro cycle begins based on updated data. 🔔
4. Customization & Parameters
Color Modes: 8 different visualization styles for enhanced clarity.
Historical Market Phases: Adjustments are made based on historical on-chain macro trends.
Manual Updates: Data is updated in accordance with key on-chain developments.
5. Trading & Investing Applications
📊 Best Used For:
Long-Term Market Analysis – Helps investors identify Bitcoin market cycles.
Trend Confirmation – Serves as an additional confluence factor for technical setups.
Macro Risk Management – Provides a big-picture perspective on market structure.
⚠️ Disclaimer: While on-chain metrics provide valuable insights, no single indicator should be used in isolation. Traders and investors should combine this with other macroeconomic, technical, and fundamental analysis tools.
6. Final Thoughts
The On-Chain Momentum Indicator provides a clear, structured view of Bitcoin’s macroeconomic health.
By combining key on-chain metrics, traders can identify significant market transitions with improved clarity.
This script is manually updated to ensure it remains aligned with the latest on-chain trends.
While this tool is highly effective for macro analysis, it should be used as part of a comprehensive trading/investing strategy.
Enhanced Doji Candle StrategyYour trading strategy is a Doji Candlestick Reversal Strategy designed to identify potential market reversals using Doji candlestick patterns. These candles indicate indecision in the market, and when detected, your strategy uses a Simple Moving Average (SMA) with a short period of 20 to confirm the overall market trend. If the price is above the SMA, the trend is considered bullish; if it's below, the trend is bearish.
Once a Doji is detected, the strategy waits for one or two consecutive confirmation candles that align with the market trend. For a bullish confirmation, the candles must close higher than their opening price without significant bottom wicks. Conversely, for a bearish confirmation, the candles must close lower without noticeable top wicks. When these conditions are met, a trade is entered at the market price.
The risk management aspect of your strategy is clearly defined. A stop loss is automatically placed at the nearest recent swing high or low, with a tighter distance of 5 pips to allow for more trading opportunities. A take-profit level is set using a 2:1 reward-to-risk ratio, meaning the potential reward is twice the size of the risk on each trade.
Additionally, the strategy incorporates an early exit mechanism. If a reversal Doji forms in the opposite direction of your trade, the position is closed immediately to minimize losses. This strategy has been optimized to increase trade frequency by loosening the strictness of Doji detection and confirmation conditions while still maintaining sound risk management principles.
The strategy is coded in Pine Script for use on TradingView and uses built-in indicators like the SMA for trend detection. You also have flexible parameters to adjust risk levels, take-profit targets, and stop-loss placements, allowing you to tailor the strategy to different market conditions.
Quantum Liquidity Fractal Dynamics (QLFD) v2.1The Quantum Liquidity Fractal Dynamics (QLFD) v2.1 is an advanced multi-dimensional market analysis too l engineered for professional traders seeking to identify high-probability liquidity-driven reversals. Built upon a proprietary Fractal-Liquidity Convergence Model (FLCM), QLFD v2.1 leverages quantum-phase liquidity oscillations and institutional absorption mapping to dynamically assess order flow efficiency within multi-timeframe market structures.
Core Algorithmic Methodology
QLFD v2.1 integrates a Hybridized Recursive Liquidity Matrix (HRLM) with High-Frequency Adaptive EMA Displacement (HFAED) to model non-linear liquidity density clusters. This proprietary framework is further reinforced by a Multi-Layered RSI Vorticity Filter (MLRVF), enhancing the signal integrity by filtering out stochastic noise anomalies.
The EMA-200 Rejection Dynamics, combined with the Vortex RSI Momentum Refraction Index (VRMRI), allow the system to isolate institutional footprint imbalances. By capturing transient liquidity voids and microstructure inefficiencies, QLFD v2.1 enables traders to position themselves ahead of high-probability liquidity sweeps.
Signal Efficiency & Institutional Calibration
While QLFD v2.1 exhibits an exceptionally high accuracy rate in identifying potential reversal vectors, it is imperative for traders to exercise institutional-grade signal filtration. The indicator autonomously detects Phase-Induced False Signal Clusters (PIFSCs), yet discretion remains paramount in avoiding transient liquidity mirages—a common occurrence in markets exhibiting hyper-fractalized liquidity dislocations.
For optimal performance, professional traders must apply a Multi-Stage Confirmation Protocol (MSCP), leveraging additional confluence layers such as:
Order Flow Delta Cohesion (OFDC)
Gamma-Weighted Imbalance Deviation (GWID)
Synthetic Volume Shockwave Ratio (SVSR)
These advanced methodologies ensure that traders engage only with high-probability fractal reversals, filtering out structurally unreliable signals induced by inter-market arbitrage distortions.
Final Thoughts
QLFD v2.1 is not designed for retail-grade signal chasing. It is an institutional-grade analytical framework tailored for professionals who understand the fractal complexity of modern liquidity landscapes. Mastering the art of discretionary filtration—by distinguishing true liquidity-driven reversals from algorithmically-induced decoy impulses—is the key to leveraging this system’s full potential.
