Ichimoku Entry Historical Data ExportCSV Ichimoku Entry Historical Data Export
test
The Ichimoku Oscillator is a technical indicator derived from the Ichimoku Kinko Hyo system, designed to measure market momentum and trend strength. It is typically calculated as the difference between the Tenkan-sen (Conversion Line) and the Kijun-sen (Base Line).
Key Aspects:
1. Momentum Measurement:
• A positive value suggests that the short-term trend (Tenkan-sen) is stronger than the medium-term trend (Kijun-sen), indicating bullish momentum.
• A negative value indicates that the short-term trend is weaker than the medium-term trend, signaling bearish momentum.
2. Trend Confirmation & Reversals:
• When the Ichimoku Oscillator crosses above zero, it may indicate a bullish signal.
• When it crosses below zero, it may signal a bearish trend.
3. Divergence Analysis:
• If the price is making new highs while the oscillator is declining, it could indicate a potential reversal.
• If the price is making new lows while the oscillator is rising, it could signal a possible bullish reversal.
4. Integration with Other Indicators:
• Traders often combine it with other Ichimoku components (e.g., Cloud (Kumo), Chikou Span) for more comprehensive analysis.
• It can also be used alongside volume indicators or RSI to confirm momentum shifts.
Educational
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
Daily Dividerdaily session divider lines on intraday charts, adjusted for Eastern Standard Time (EST). It visually separates trading days with customizable line styles and colors while labeling each weekday. The script ensures that Sunday at 17:00 EST is treated as Monday, aligning with Forex market openings.
Candle Size Alerts (Manual size)This TradingView Pine Script (v6) is an indicator that triggers alerts based on the size of the previous candle. Here's a breakdown of how it works:
1. Indicator Definition
//@version=6
indicator('Candle Size Alerts (Manual size)', overlay = true)
The script is written in Pine Script v6.
indicator('Candle Size Alerts (Manual size)', overlay = true):
Defines the indicator name as "Candle Size Alerts (Manual size)".
overlay = true means it runs directly on the price chart (not as a separate panel).
2. Calculate the Previous Candle's Body Size
candleSize = math.abs(close - open )
close and open refer to the previous candle’s closing and opening prices.
math.abs(...) ensures that the size is always a positive value, regardless of whether it's a green or red candle.
3. Define a User-Adjustable Candle Size Threshold
candleThreshold = input(500, title = 'Fixed Candle Size Threshold')
input(500, title = 'Fixed Candle Size Threshold'):
Allows users to set a custom threshold (default is 500 points).
If the previous candle's body size exceeds or equals this threshold, an alert is triggered.
4. Check if the Candle Size Meets the Condition
sizeCondition = candleSize >= candleThreshold
This evaluates whether the previous candle's size is greater than or equal to the threshold.
If true, an alert will be generated.
5. Determine Candle Color
isRedCandle = close < open
isGreenCandle = close > open
isRedCandle: The candle is red if the closing price is lower than the opening price.
isGreenCandle: The candle is green if the closing price is higher than the opening price.
6. Generate Alerts Based on Candle Color
if sizeCondition
if isRedCandle
alert('SHORT SIGNAL: Previous candle is RED, body size = ' + str.tostring(candleSize) + ' points (Threshold: ' + str.tostring(candleThreshold) + ')', alert.freq_once_per_bar)
else if isGreenCandle
alert('LONG SIGNAL: Previous candle is GREEN, body size = ' + str.tostring(candleSize) + ' points (Threshold: ' + str.tostring(candleThreshold) + ')', alert.freq_once_per_bar)
If the candle size meets the threshold (sizeCondition == true):
If red, a SHORT SIGNAL alert is triggered.
If green, a LONG SIGNAL alert is triggered.
alert.freq_once_per_bar ensures that alerts are sent only once per candle (avoiding repeated notifications).
How It Works in TradingView:
The script does not plot anything on the chart.
It monitors the previous candle’s body size.
If the size exceeds the threshold, an alert is generated.
Alerts can be used to notify the trader when big candles appear.
How to set Alerts in Trading View
1. Select Indicator – Ensure the indicator is added and properly configured.
2. Set Time Frame – Make sure it's appropriate for your trading strategy.
3. Open Alerts Panel – Click the "Alerts" tab or use the shortcut (Alt + A on Windows).
4. Create a New Alert – Click "+" or "Create Alert."
5. Select Condition – Pick the relevant indicator condition (e.g., "Candle Size Alerts(Manual size)").
6. Choose Alert Function – Default is "Any Alert() Function Call".
7. Set Expiration & Name – Define how long the alert remains active.
8. Configure Notifications – Choose between pop-up, email, webhook, or app notifications.
9. Create Alert – Click "Create" to finalize.
How to set the size manually:
Add the "Candle Size Alerts (Manual size)" Indicator to your chart.
Open Indicator Settings – Click on the indicator and go to the "Inputs" tab.
Set Fixed Size Threshold – Adjust the "Fixed Size Candle Threshold" to your desired value.
Click OK – This applies the changes.
Reset Alerts – Delete and recreate alerts to reflect the new threshold.
Happy Trading !!!!
Investor ToolSummary of the investor tool Indicator The 2-Year MA Multiplier is a long-term investment tool for Bitcoin, designed to identify optimal buying and selling periods.
How It Works:
Buying below the 2-Year MA has historically led to high returns. Selling above 2-Year MA × 4 has been effective for taking profits.
cashdata by farashahThis indicator is designed to generate wave charts following the NeoWave method.
NeoWave, developed by Glenn Neely in 1990, offers a scientific and objective approach to wave analysis.
A Cash Data is essential for accurate analysis, requiring highs and lows to be plotted in the exact order they occurred—a process that can be complex and time-consuming.
The indicator automates this process by identifying highs and lows for any symbol and timeframe, plotting them in real-time.
For instance, on a monthly timeframe, it finds yearly highs and lows and arranges them sequentially, forming a "Yearly Wave Chart" for NeoWave analysis.
•Generates Wave Charts for multiple timeframes(yearly, monthly, weekly, daily, hourly, minutely).
• Provides real-time auto-updating Wave Charts.
• Supports plotting based on calendar time, bar count, or equal distances.
• Compatible with all account types.
Edri Extreme Points Buy & Sell with 100 EMA FilterEdri Extreme Points Buy & Sell with 100 EMA Filter
Candle Size Alert (Open-Close)This Pine Script is a TradingView indicator that checks the size of the previous candle's body (difference between the open and close prices) and triggers an alert if it exceeds a certain threshold.
Breakdown of the Script
1. Indicator Declaration
//@version=5
indicator("Candle Size Alert (Open-Close)", overlay=true)
//@version=5: Specifies that the script is using Pine Script v5.
indicator("Candle Size Alert (Open-Close)", overlay=true):
Creates an indicator named "Candle Size Alert (Open-Close)".
overlay=true: Ensures the script runs directly on the price chart (not in a separate panel).
2. User-Defined Threshold
candleThreshold = input.int(500, title="Candle Size Threshold")
input.int(500, title="Candle Size Threshold"):
Allows the user to set the threshold for candle body size.
Default value is 500 points.
3. Calculate Candle Size
candleSize = math.abs(close - open )
close and open :
close : Closing price of the previous candle.
open : Opening price of the previous candle.
math.abs(...):
Takes the absolute difference between the open and close price.
This gives the candle body size (ignoring whether it's bullish or bearish).
4. Check If the Candle Size Meets the Threshold
sizeCondition = candleSize >= candleThreshold
If the previous candle’s body size is greater than or equal to the threshold, sizeCondition becomes true.
5. Determine Candle Color
isRedCandle = close < open
isGreenCandle = close > open
Red Candle (Bearish):
If the closing price is less than the opening price (close < open ).
Green Candle (Bullish):
If the closing price is greater than the opening price (close > open ).
6. Generate Alerts
if sizeCondition
direction = isRedCandle ? "SHORT SIGNAL (RED)" : "LONG SIGNAL (GREEN)"
alertMessage = direction + ": Previous candle body size = " + str.tostring(candleSize) +
" points (Threshold: " + str.tostring(candleThreshold) + ")"
alert(alertMessage, alert.freq_once_per_bar)
If the candle body size exceeds the threshold, an alert is triggered.
direction = isRedCandle ? "SHORT SIGNAL (RED)" : "LONG SIGNAL (GREEN)":
If the candle is red, it signals a short (sell).
If the candle is green, it signals a long (buy).
The alert message includes:
Signal type (LONG/SHORT).
Candle body size.
The user-defined threshold.
How It Works in TradingView:
The script does not plot anything on the chart.
It monitors the previous candle’s body size.
If the size exceeds the threshold, an alert is generated.
Alerts can be used to notify the trader when big candles appear.
Trading ChecklistChecklist metodología de la academia Streetpips para las entradas. Donde estoy, Mapa de intención, tipo de movimiento (continuación, retroceso, Reversión) y el modelo de confirmación ( mod 1,2,3,4 y/o typ enseñados en la academia)
MOST with Filterswith various filters RSI, price, trend change
trying to filter fluctuations during consolidation periods
Rubotics Impulse Reloaded IndicatorThis Pine Script™ indicator, named "Rubotics Impulse Reloaded Indicator", is designed to detect strong price moves (impulses) and their subsequent corrections. It leverages the Average True Range (ATR) to measure the magnitude of moves relative to recent volatility and uses a moving average—selectable by type—to assess the underlying trend. Once an impulse is detected, the script monitors for a corrective retracement that falls within user-defined percentage bounds, and then signals potential entry points (bullish or bearish) directly on the chart.
-----
Input Parameters
The indicator comes with several customizable inputs that allow users to fine-tune its behavior:
Impulse Detection Length:
Parameter: impulseLength
Description: Determines the number of bars used to calculate the ATR and detect impulse moves. Lower values make the indicator more sensitive, while higher values smooth out the detection.
Max. Impulse Correction Length:
Parameter: barsSinceImpuls
Description: Sets the maximum number of bars to look back for a valid correction following an impulse.
Impulse Strength Threshold:
Parameter: impulseThreshold
Description: A ratio that determines whether a price move qualifies as a strong impulse. Lower thresholds trigger more impulses, while higher thresholds require more significant moves.
Min/Max Correction Percent:
Parameters: correctionMin and correctionMax
Description: Define the acceptable range (in percentage) of retracement from the impulse high/low that qualifies as a valid correction.
Moving Average Settings:
Parameters: emaLength and maType
Description: The emaLength determines the number of bars used in the moving average calculation, while maType allows the user to choose between different built-in moving averages (EMA, SMA, WMA, VWMA, RMA, HMA) for trend determination.
Debug Mode:
Parameter: debugMode
Description: When enabled, additional information such as impulse strength, correction percentage, and impulse direction is displayed on the chart for troubleshooting and deeper insight.
-----
Trend Calculation
The indicator calculates a trend component using a moving average of the selected type. This moving average is plotted in yellow on the chart, providing visual context for the prevailing trend. Users can select from multiple moving average options (EMA, SMA, etc.) to best fit their analysis style.
-----
Impulse Detection
Impulse moves are detected by comparing the absolute price change over the specified number of bars (impulseLength) to the average range (ATR) multiplied by the same period. The calculated impulse strength is then compared to the user-defined threshold (impulseThreshold):
Impulse Detected:
When the impulse strength exceeds the threshold, the indicator determines whether the move is bullish or bearish based on whether the price increased or decreased relative to the start of the impulse period. It then records key details such as the impulse’s high/low and the bar index at which the move occurred.
-----
Correction Handling
After an impulse is detected, the indicator enters a correction phase:
Correction Calculation:
The script continuously calculates the current retracement percentage relative to the impulse high/low.
Expiration:
If the correction phase lasts longer than the allowed number of bars (barsSinceImpuls), the correction tracking is reset.
-----
Entry Signal Conditions
Two primary functions define the entry conditions:
Bullish Entry:
Triggers if:
The market is in a correction following a bullish impulse.
The correction retracement is within the specified percentage range (correctionMin to correctionMax).
The price is rising (current close is greater than the previous close).
Bearish Entry:
Triggers under similar conditions for a bearish impulse, with the price showing a downward movement.
When either condition is met, the corresponding signal (buy or sell) is plotted on the chart, and the correction phase is reset to await the next impulse.
-----
Visualizations & Debugging
Impulse Strength Plot:
A blue line displays the calculated impulse strength, and a red dashed horizontal line indicates the threshold level for visual reference.
Signal Labels:
Buy and sell signals are visually marked on the chart with labels ("BUY" in green for bullish signals and "SELL" in red for bearish signals).
Debug Information:
If debug mode is enabled, a label on the latest bar shows detailed information including the impulse strength, correction percentage, and impulse direction. This helps users verify and fine-tune the settings.
-----
Usage
Traders can use this indicator to identify high-probability entry points by detecting significant price moves followed by controlled corrections. By adjusting the various input parameters, users can optimize the sensitivity and filtering of the indicator to suit different markets or timeframes.
This robust setup not only provides visual cues for potential trades but also helps in understanding the underlying price dynamics, making it a versatile tool for both trend analysis and entry timing on TradingView.
Futures Trading Expert Strategy with Extreme Move CheckThis TradingView Pine Script™ v6 strategy is designed for futures trading in volatile markets like cryptocurrency. It combines several technical indicators to generate robust long and short entry signals:
Trend & Momentum Filters:
Utilizes a 50-period EMA, MACD crossovers, custom Supertrend, and RSI to identify favorable trade setups.
Dynamic Trade Management:
Employs ATR-based take profit levels and a trailing stop to let winning trades run while protecting against adverse price moves.
Extreme Move Detection:
Monitors for significant price swings (e.g., BTC pumping or dumping over a user-defined percentage) and forces an exit if extreme market conditions are detected.
Versatile Across Timeframes:
The strategy adapts seamlessly to different timeframes (1m, 5m, 15m, etc.) while ensuring only one active position at a time.
This script is ideal for traders seeking a systematic approach to futures trading with dynamic risk management tailored for volatile crypto markets.
Yatin EMA VWAP Multiple Buy Sell SignalTHis is EMA special indicator with buy and sell indicator.
for intraday use time frame - 3 min
for scalper - use - 1 min time frame
FTLTD Buy Sell vol.1FTLTD Buy Sell vol.1
This script, developed by Finance Technologies LTD, integrates multiple technical indicators to provide precise buy and sell signals for short-term trading. It includes Stochastic, MACD, Fibonacci levels, Keltner Channel, SuperTrend, Parabolic SAR, and key support and resistance levels across multiple timeframes. The indicator helps identify trend reversals, retracement opportunities, and breakout confirmations, offering traders reliable entry and exit points in both trending and ranging markets.
Market Sector Labelsforecasting each sectors in the sp500 with bullish and bearish signal . XLF, XLK, XLI,XLY, XLP,XLV,XLE,XLU, XLREE, XLB, XLC
Double Bollinger Bands Strategy with Signals (By Rolwin)Double Bollinger Bands Strategy with Signals 1.0 (By Rolwin)
📌 Overview
The Double Bollinger Bands Strategy is a trend-following system that utilizes two sets of Bollinger Bands (2 standard deviations and 3 standard deviations) to identify high-probability entry and exit points. This strategy helps traders capitalize on strong price movements and potential reversals by detecting overbought and oversold conditions more effectively.
📊 How It Works
• Bollinger Bands Setup:
o Middle Band: 20-period Simple Moving Average (SMA)
o Upper & Lower Bands (2 SD): Standard Bollinger Bands (±2 standard deviations)
o Extreme Bands (3 SD): Additional Bollinger Bands (±3 standard deviations) for extreme price moves
• Entry Signals:
✅ Buy (Long Entry): When the price crosses above the lower 3SD band (oversold zone)
❌ Sell (Short Entry): When the price crosses below the upper 3SD band (overbought zone)
• Exit Signals:
🔼 Exit Long: When the price reaches the upper 2SD band
🔽 Exit Short: When the price reaches the lower 2SD band
• Additional Features:
✅ Buy & Sell Signals plotted directly on the chart
🎨 Candles turn white when price touches the extreme 3SD band
🔥 Why Use This Strategy?
✔️ Clear Entry & Exit Points: Based on strong statistical levels
✔️ Effective in Trending & Reversal Markets: Captures both momentum & mean reversion setups
✔️ Easy-to-Use Visualization: Signals & bands make it beginner-friendly
✔️ Customizable: Adjust Bollinger Band length and multipliers to fit different assets & timeframes
⚠️ Risk Management Tip
While this strategy provides high-probability trade signals, it is essential to use stop-loss orders (e.g., ATR-based) and proper position sizing to manage risk effectively.
📈 Try it out and optimize the settings for your favorite markets! 🚀
Machine Learning + IchimokuIchimoku Cloud + Machine Learning Levels is an advanced indicator that merges a classic trend tool with machine-learned supply & demand zones. Combining the two can help traders identify trends and key price zones with greater confidence when both signals align!
How it Works
The Ichimoku Cloud component identifies the trend direction and momentum at a glance – it shows support/resistance areas via its cloud (Kumo) and signals potential trend changes when the Tenkan-sen and Kijun-sen lines cross. Meanwhile, the Machine Learning module analyzes historical price data to project potential support and resistance levels (displayed as horizontal lines) that the algorithm deems significant. By combining these, the script offers a two-layer confirmation: Ichimoku outlines the broader trend and equilibrium, while the ML levels pinpoint specific price levels where the price may react. For example, if price is above the Ichimoku Cloud (uptrend) and also near an ML-predicted support, the confluence of these signals strengthens the case for a bounce.
How to Use
Apply the indicator to a chart like any other TradingView script. It works on multiple asset classes (see supported list below). Once added:
Ichimoku Lines
Tenkan-sen (Blue): Short-term average reflecting recent highs/lows.
Kijun-sen (Red): Medium-term baseline for support/resistance.
Senkou Span A (Green) & Senkou Span B (Orange) form the “Cloud” (Kumo). Price above the Cloud often signals a bullish environment; price below it can signal a bearish environment.
Chikou Span (Purple): Plots current closing price shifted back, helping gauge momentum vs. past price.
ML-Predicted Support/Resistance Lines (Green/Red Horizontal Lines)
Green Horizontal Lines – Potential support zones.
Red Horizontal Lines – Potential resistance zones.
These dynamically adjust based on the specific asset and are updated as new historical data becomes available.
Password (for Advanced Features)
In the indicator’s Settings, there is an input field labeled “Password.” The password corresponds to the ticker(s) listed below.
Stocks
TSLA, NVDA, AAPL, AMZN, PLTR, AMD, META, MSFT, MSTR, GOOG, GME, COIN, NFLX, BABA, UBER, HOOD, NKE
Cryptocurrencies
ETH, BTC, SOL, BNB, XRP, ADA, DOT, DOGE, LTC, JUP, LINK, INJ, FET, SAND, HBAR, TRX, SHIB, UNI
(If you attach the indicator to any unlisted ticker, you will only see the Ichimoku Cloud.)
Why It’s Unique
This script is a fresh take on market analysis – it’s original in fusing Ichimoku’s visual trend mapping with machine learning. The Ichimoku framework provides time-proven trend insight, and the ML levels add forward-looking context specific to each asset. By uniting them, the indicator aims to filter out false signals and highlight high-probability zones. No repainting occurs: Ichimoku values are based on closed data, and ML levels are computed from historical patterns (they do not retroactively change).
Ichimoku Cloud + Machine Learning Levels offers an informative blend of old and new analysis techniques. It clearly shows where price is relative to trend (via Ichimoku) and where it might react in the future (via ML levels). Use it to gain a richer view of the market’s behavior. I hope this indicator provides valuable insights for your trading decisions. Happy trading!
Double Bollinger Bands Strategy with Signals (By Rolwin)This Double Bollinger Bands Strategy identifies high-probability trading opportunities by using two sets of Bollinger Bands (2 standard deviations & 3 standard deviations). The strategy enters long trades when price crosses above the lower 3SD band and short trades when price crosses below the upper 3SD band. Exits occur at the 2SD bands, ensuring a structured risk-reward approach. It includes visual buy/sell signals, dynamic band plotting, and candle coloring when price touches extreme volatility levels, making it effective for trend and mean-reversion trading.
M1 ES (Open & retouch) V3 avec variables configurablesIndicateur pour faciliter les déclenchements des trades suivant la méthode
M1 Trading pour fainéants
www.youtube.com
Liquidity + Fearzone + GreedZone [Combined]The Liquidity-Based Fear and Greed Indicator is a market sentiment tool designed to gauge investor behavior by analyzing liquidity trends. It tracks the balance between fear (low liquidity, risk aversion, and selling pressure) and greed (high liquidity, risk appetite, and buying momentum) in financial markets. By assessing factors such as trading volume, cash flow, and asset availability, the indicator provides a dynamic snapshot of whether market participants are driven by caution or exuberance, helping investors make informed decisions.
