Trend Analysis
Strategia Ritracciamento 75% Aniello F.Alta probabilità di successo: Entrando al 75%, operi in una zona con elevato interesse istituzionale.
Conferma su M1: Riduce i falsi segnali, entrando solo quando il mercato conferma la tua ipotesi.
Gestione del rischio: Stop loss stretto consente un ottimo rapporto rischio/rendimento.
Volatility Insight Pro [Musa]Indikator "Volatility Insight Pro" awalnya dirancang oleh Heri Hendrata untuk membantu trader memahami dinamika pasar dengan cara yang lebih sederhana, yang dapat ditemukan di e-booknya "Profit Konsisten dari Trading Harian Saham".
Indikator ini menggabungkan analisis volume, volatilitas, dan momentum untuk memberikan gambaran yang jelas tentang potensi pergerakan harga.
Volume profile digunakan untuk mengidentifikasi area support dan resistance
berdasarkan aktivitas perdagangan terbesar, sementara ATR dan RSI membantu
menilai volatilitas dan kondisi pasar (overbought/oversold).
Dari Indikator awal tersebut, lalu kami kembangkan dengan menambah 2 MA, untuk memperkuat analisis trend, sehingga total ada 3 MA yang dipakai, yaitu:
1) MA 20 untuk membaca trend jangka pendek
2) MA 50 untuk membaca trend jangka menengah
3) MA 200 untuk membaca trend jangka panjang
Moving Averages by ComLucro - 20/50/100/200 - 2025_V01Moving Averages by ComLucro - 20/50/100/200 - 2025_V01
Moving Averages by ComLucro - 20/50/100/200 - 2025_V01 is a versatile and customizable tool for traders looking to incorporate 20, 50, 100, and 200-period Simple Moving Averages (SMA) into their technical analysis. This indicator allows traders to easily track these key moving averages directly on their charts, with customizable colors and line positions for a seamless user experience.
Key Features:
Multiple Timeframes: Displays 20, 50, 100, and 200-period SMAs, widely used in technical analysis.
Customizable Colors: Adjust the color of each SMA to match your chart’s theme and improve visibility.
Clean Visualization: Plots each moving average with distinct colors and thicknesses for clarity.
How It Works:
Choose your desired periods for the SMAs: 20, 50, 100, and 200.
Customize the line colors to enhance chart readability.
View the SMAs dynamically plotted over your chart for quick reference during analysis.
Disclaimer:
This script is intended for educational purposes only and does not constitute financial or trading advice. Use it responsibly and ensure it aligns with your trading strategies and risk management practices.
EMA 10/20/30/40/50/60/70/80/90/100 & 200Here’s an updated description for the script, including the addition of the 200-day EMA:
**Script Description**
The provided script is a comprehensive indicator for analyzing trends and market volatility using multiple Exponential Moving Averages (EMAs) and Bollinger Bands (BB). It is designed to enhance decision-making by providing a detailed view of price action over multiple timeframes.
**Key Features**
1. **Primary EMA**:
- A customizable Exponential Moving Average (`EMA`) based on user-defined settings:
- **Length**: Adjustable period (default is 9).
- **Source**: Price type (e.g., Close, Open, High, Low).
- **Offset**: Shifts the EMA horizontally on the chart for better visualization.
- Plotted in **blue** on the chart.
2. **Multiple EMAs**:
- Includes pre-defined EMAs for 10, 20, 30, 40, 60, 70, 80, 90, 100, and **200-day** periods.
- Each EMA is plotted with a unique color for quick identification:
- **10 EMA**: Red
- **20 EMA**: Orange
- **30 EMA**: Yellow
- **40 EMA**: Green
- **60 EMA**: Blue
- **70 EMA**: Purple
- **80 EMA**: Teal
- **90 EMA**: Maroon
- **100 EMA**: Fuchsia
- **200 EMA**: Gray
3. **Smoothing Moving Averages (Optional)**:
- Users can enable a secondary smoothing moving average to overlay on the primary EMA:
- Types: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, or `VWMA`.
- Bollinger Bands are available when `SMA + Bollinger Bands` is selected.
- Provides additional trend and volatility analysis.
4. **Bollinger Bands**:
- When enabled, Bollinger Bands are plotted around the smoothing moving average:
- **Upper Band** and **Lower Band** are calculated based on a user-defined standard deviation multiplier.
- The area between the bands is filled with a transparent green color.
5. **Customization**:
- Extensive input options allow users to adjust all key parameters, including EMA lengths, source prices, Bollinger Band multipliers, and display options.
---
### **How to Use**
1. **Trend Analysis**:
- Use shorter-period EMAs (e.g., 10, 20) to analyze short-term trends.
- Use longer-period EMAs (e.g., 100, 200) to identify long-term trends and key support/resistance levels.
2. **Dynamic Support/Resistance**:
- The 200-day EMA is widely recognized as a major support/resistance level in financial markets. Monitor price interactions with this EMA for potential trend reversals or breakouts.
3. **Volatility Analysis**:
- Enable Bollinger Bands to measure market volatility and identify overbought or oversold conditions.
4. **Comprehensive View**:
- Combine the multiple EMAs with Bollinger Bands and smoothing averages for a layered analysis of market conditions.
---
### Example Use Cases
1. **Identifying Market Trends**:
- If price stays above the 200 EMA, the market is considered bullish; below, it is bearish.
- The alignment of shorter EMAs above longer EMAs signals strong bullish momentum and vice versa for bearish trends.
2. **Volatility Breakouts**:
- Narrowing Bollinger Bands often precede volatility breakouts, providing opportunities for trades.
3. **Dynamic Trading Strategy**:
- Use the crossing of shorter EMAs (e.g., 10 or 20) with longer EMAs (e.g., 100 or 200) as trade signals.
Institutional Analysis NASDAQ100 & US30Script para operar NAS100 & US30 con relación 3 a 1 usando análisis institucional
Custom Multi Moving AveragesCustom Multi Moving Averages Indicator
The Custom Multi Moving Averages indicator enhances your technical analysis by allowing the simultaneous plotting of three distinct moving averages (MAs) on your chart. This flexibility enables traders to observe short-term, mid-term, and long-term trends concurrently, facilitating more informed decision-making.
Key Features:
• Multiple MA Types: Choose from Simple Moving Average (SMA), Exponential Moving Average (EMA), Double Exponential Moving Average (DEMA), or Triple Exponential Moving Average (TEMA) for each of the three MAs.
• Customizable Lengths: Define the lookback period for each MA to suit your trading strategy.
• Color Coding: Assign distinct colors to each MA for clear visual differentiation on the chart.
How to Use:
1. Configure MA Parameters:
• Access the indicator settings to select the desired MA type (SMA, EMA, DEMA, TEMA) for each of the three MAs.
• Set the length (number of periods) for each MA to align with your analysis preferences.
• Choose a color for each MA to easily distinguish them on the chart.
2. Interpret the MAs:
• Trend Identification:
• An upward-sloping MA suggests a bullish trend, while a downward-sloping MA indicates a bearish trend.
• Crossovers:
• Bullish signals may emerge when a shorter-period MA crosses above a longer-period MA.
• Conversely, bearish signals may occur when a shorter-period MA crosses below a longer-period MA.
• Support and Resistance:
• MAs can act as dynamic support or resistance levels, with price tending to bounce off these lines.
Example Configuration:
• MA 1:
• Type: EMA
• Length: 9
• Color: Blue
• MA 2:
• Type: DEMA
• Length: 21
• Color: Green
• MA 3:
• Type: SMA
• Length: 50
• Color: Red
This setup allows for the observation of short-term (9-period EMA), medium-term (21-period DEMA), and longer-term (50-period SMA) trends, providing a comprehensive view of market dynamics.
Note:
While moving averages are valuable tools for trend analysis, they are based on historical data and may lag current price action. It’s advisable to use this indicator in conjunction with other analysis methods and risk management practices.
Disclaimer:
This indicator is intended for educational purposes and should not be construed as financial advice. Always conduct thorough research or consult with a financial advisor before making trading decisions.
By providing customizable options for different types of moving averages, this indicator offers traders the flexibility to tailor their analysis to specific strategies and timeframes.
AA_Trend & Momentum Hybrid Indicator// Description:
// The AA_Trend & Momentum Hybrid Indicator is a versatile tool designed to identify potential buy and sell opportunities by combining moving averages (EMA), RSI, and MACD.
// It is suitable for trend-following strategies and helps identify momentum shifts in the market.
// Key features include:
// - EMA crossovers for trend direction.
// - RSI for overbought/oversold confirmation.
// - MACD crossovers for momentum and trend shifts.
// This indicator is intended for educational and research purposes only.
☼ MAH ☾ - High-Low Fractal SignalThis indicator works based on the market fractal and provides signals.
In a specific time interval that can be adjusted in the indicator settings window, the ceiling and floor of this range are determined, and whenever the price leaves this specified range, a buy or sell signal is issued according to the failure of each of these levels.
By looking at the situation, the trader can enter a position by observing all risk and capital management issues if he sees a suitable and powerful candle.
Note 1: To set the appropriate time frame, be sure to set the chart time to UTC+3:30, otherwise you must set the correct time frame in the indicator settings window and apply your time zone difference to it.
Note 2: The appropriate Time frame for this strategy is 5 and 15 minutes.
Note 3: It is better if the breakout candle is strong and has a small opposite shadow, and also if the candle is pulled back to the broken level and then a suitable candle is seen, the probability of this setup being successful increases.
I hope you find this indicator useful and please send me your feedback.
AA_MACD_MTF IndicatorEnhanced by Aalwattar 01/04/2025
//Created by user ChrisMoody updated 4-10-2014
// Key Enhancements Compared to the Original ChrisMoody Script:
// 1. Improved Visuals:
// - Adjusted crossover dots for better alignment and reduced size.
// - Added green and red color coding for crossover dots to indicate bullish and bearish conditions.
// 2. Enhanced Histogram:
// - Updated bullish histogram colors to more contrasting shades of green for better differentiation.
// - Retained red and maroon for bearish conditions.
// 3. Usability Enhancements:
// - Multi-Timeframe support for flexibility in aligning MACD with custom or chart timeframes.
// - User-configurable display options for MACD lines, histogram, and crossover dots.
// 4. Alerts Integration:
// - Added alerts for bullish and bearish MACD crossovers.
// 5. Cleaner Scaling:
// - Adjusted visual elements for improved readability without excessive zooming.
PreMarket_Estimator Portfolio [n_dot]AMEX:SOXL ; NASDAQ:TQQQ ; AMEX:FNGU ; AMEX:SOXS ; NASDAQ:SQQQ ; AMEX:FNGD
Strategy Core Idea:
I focus on stocks that are expected to show significant price movements (gaps) during the premarket, usually due to news or earnings reports. I record the highest price formed during the premarket, and if the price exceeds this level after the market opens, I go LONG. Based on my experience, it’s advisable to exit after a few percentage points of increase, as the premarket boom often corrects itself.
Usage:
The indicator is best used in pairs: Pre_Market_Estimator Single and Pre_Market_Estimator Portfolio.
In this portfolio version, you can set up 6 different instruments, which are displayed stacked vertically on the screen, while the single version monitors only one instrument. The portfolio does not plot charts at the actual price levels but offsets them vertically, displaying the current prices in a label at the end of each chart.
Settings:
Time point 1: Start of the observation period.
Time point 2: End of the observation period / Start of the trading period.
GAP: is used to adjust the distance between the charts displayed in the portfolio view. This allows you to customize the spacing for better readability and visualization of the monitored instruments.
Usage:
Set the timeframe period to "1m".
Set Time point 1 to the start of the premarket session on the current day (e.g., NYSE: 9:00).
Set Time point 2 to the market open (e.g., NYSE: 9:30).
The indicator monitors the highest price during the premarket period, marking it with a blue line.
During the subsequent trading period, if the price exceeds the premarket high, it generates a buy signal marked with a blue plus sign.
Limitations:
The premarket prediction typically provides actionable signals during the first 30 minutes to 1 hour of the trading session. After this, the trend is usually driven by daily market events or news.
To reduce data usage, the portfolio version of the indicator (which monitors 6 instruments simultaneously) only loads the last 24 hours of data (60 * 24 minutes). After this, the chart stops providing signals, and the time points need to be reset.
Additional Use Cases:
This type of breakout monitoring is not only suitable for observing premarket events but can also provide relevant information before major announcements.
For example, in the case of central bank rate hikes:
Set Point 1 to 1 hour before the announcement.
Set Point 2 to the time of the announcement.
I hope this contributes to your success!
MAYURGAJJAR999@GMAIL.COM//@version=6
indicator("VWAP + Supertrend (Merged)", overlay=true, timeframe="", timeframe_gaps=true)
// VWAP Settings
hideonDWM = input(false, title="Hide VWAP on 1D or Above", group="VWAP Settings", display=display.data_window)
var anchor = input.string(defval="Session", title="Anchor Period", options= , group="VWAP Settings")
src = input(title="Source", defval=hlc3, group="VWAP Settings", display=display.data_window)
offset = input.int(0, title="Offset", group="VWAP Settings", minval=0, display=display.data_window)
BANDS_GROUP = "Bands Settings"
calcModeInput = input.string("Standard Deviation", "Bands Calculation Mode", options= , group=BANDS_GROUP, tooltip="Determines the units used to calculate the distance of the bands.")
showBand_1 = input(true, title="", group=BANDS_GROUP, inline="band_1")
bandMult_1 = input.float(1.0, title="Bands Multiplier #1", group=BANDS_GROUP, inline="band_1", step=0.5, minval=0)
showBand_2 = input(false, title="", group=BANDS_GROUP, inline="band_2")
bandMult_2 = input.float(2.0, title="Bands Multiplier #2", group=BANDS_GROUP, inline="band_2", step=0.5, minval=0)
showBand_3 = input(false, title="", group=BANDS_GROUP, inline="band_3")
bandMult_3 = input.float(3.0, title="Bands Multiplier #3", group=BANDS_GROUP, inline="band_3", step=0.5, minval=0)
cumVolume = ta.cum(volume)
if barstate.islast and cumVolume == 0
runtime.error("No volume is provided by the data vendor.")
new_earnings = request.earnings(syminfo.tickerid, earnings.actual, barmerge.gaps_on, barmerge.lookahead_on, ignore_invalid_symbol=true)
new_dividends = request.dividends(syminfo.tickerid, dividends.gross, barmerge.gaps_on, barmerge.lookahead_on, ignore_invalid_symbol=true)
new_split = request.splits(syminfo.tickerid, splits.denominator, barmerge.gaps_on, barmerge.lookahead_on, ignore_invalid_symbol=true)
isNewPeriod = switch anchor
"Earnings" => not na(new_earnings)
"Dividends" => not na(new_dividends)
"Splits" => not na(new_split)
"Session" => timeframe.change("D")
"Week" => timeframe.change("W")
"Month" => timeframe.change("M")
"Quarter" => timeframe.change("3M")
"Year" => timeframe.change("12M")
"Decade" => timeframe.change("12M") and year % 10 == 0
"Century" => timeframe.change("12M") and year % 100 == 0
=> false
isEsdAnchor = anchor == "Earnings" or anchor == "Dividends" or anchor == "Splits"
if na(src ) and not isEsdAnchor
isNewPeriod := true
float vwapValue = na
float upperBandValue1 = na
float lowerBandValue1 = na
float upperBandValue2 = na
float lowerBandValue2 = na
float upperBandValue3 = na
float lowerBandValue3 = na
if not (hideonDWM and timeframe.isdwm)
= ta.vwap(src, isNewPeriod, 1)
vwapValue := _vwap
stdevAbs = _stdevUpper - _vwap
bandBasis = calcModeInput == "Standard Deviation" ? stdevAbs : _vwap * 0.01
upperBandValue1 := _vwap + bandBasis * bandMult_1
lowerBandValue1 := _vwap - bandBasis * bandMult_1
upperBandValue2 := _vwap + bandBasis * bandMult_2
lowerBandValue2 := _vwap - bandBasis * bandMult_2
upperBandValue3 := _vwap + bandBasis * bandMult_3
lowerBandValue3 := _vwap - bandBasis * bandMult_3
plot(vwapValue, title="VWAP", color=#2962FF, offset=offset)
upperBand_1 = plot(upperBandValue1, title="Upper Band #1", color=color.green, offset=offset, display=showBand_1 ? display.all : display.none)
lowerBand_1 = plot(lowerBandValue1, title="Lower Band #1", color=color.green, offset=offset, display=showBand_1 ? display.all : display.none)
fill(upperBand_1, lowerBand_1, title="Bands Fill #1", color=color.new(color.green, 95), display=showBand_1 ? display.all : display.none)
// Supertrend Settings
atrPeriod = input.int(10, "ATR Length", minval=1)
factor = input.float(3.0, "Factor", minval=0.01, step=0.01)
= ta.supertrend(factor, atrPeriod)
supertrend := barstate.isfirst ? na : supertrend
upTrend = plot(direction < 0 ? supertrend : na, "Up Trend", color=color.green, style=plot.style_linebr)
downTrend = plot(direction < 0 ? na : supertrend, "Down Trend", color=color.red, style=plot.style_linebr)
bodyMiddle = plot(barstate.isfirst ? na : (open + close) / 2, "Body Middle", display=display.none)
fill(bodyMiddle, upTrend, color.new(color.green, 90), fillgaps=false)
fill(bodyMiddle, downTrend, color.new(color.red, 90), fillgaps=false)
// Alerts for Supertrend
alertcondition(direction > direction, title='Downtrend to Uptrend', message='Supertrend switched from Downtrend to Uptrend.')
alertcondition(direction < direction, title='Uptrend to Downtrend', message='Supertrend switched from Uptrend to Downtrend.')
alertcondition(direction != direction, title='Trend Change', message='Supertrend switched direction.')
JM-DAILY-H&L-V5Previous Daily Highs and Lows Indicator
This custom indicator highlights the high and low of the previous day, providing crucial reference points for intraday traders. The displayed levels act as key support and resistance zones, helping you gauge potential price reversals or breakouts. While this indicator can be used on multiple timeframes it is especially useful on 4-hour to 1-hour timeframes for intraday trading. By using these levels, traders can refine their entries and exits within the day, identifying price action patterns that align with the prior days market dynamics.
Divergence Finder (RSI/Price) Strategy with OptionsThis is a strategy using my other indicator: Divergence Finder (RSI/Price) with Options
Requested by a User.
You can activate or desactivate Long or short.
Set a Stop and Take Profit.
You should be able to set alert directly to order executed, or to triggered Alert.
For more information you could check the Divergence Finder indicator directly.
Version 0.1
SMA 20 and 50 with ATR VolatilityThis indicator combines the analysis of two SMAs (20 and 50) with a volatility filter using ATR (Average True Range). It identifies long and short entry signals based on SMA crossovers while filtering out sideways markets using ATR. Volatility levels are categorized into low, medium, and high, with each level color-coded on the chart for easy identification (green for low, yellow for medium, and red for high). The indicator also visualizes entry points with triangles and dynamically adjusts price levels based on ATR. It helps traders make decisions based on trend direction and market volatility.
CELEBI KESISMEmerhaba. bu üründe sarı zemin kesişme güzel bir yükselişin habercisidir. saatlikte 100-300 değerleri güzel çalışır. 4 saatlikte en iyi sonucu verir ki bu da 8-45 ayarları ile güzel çalışır.
Improved Target Oscillator | JeffreyTimmermansImproved Target Oscillator
The Improved Target Oscillator is a versatile technical indicator that identifies trends, reversals, and market momentum. Designed to work effectively across various markets, this oscillator excels at capturing longer-term market trends, making it ideal for traders focused on sustained price movements. By using advanced mathematical techniques and dynamic visualization, the oscillator provides actionable insights, helping traders navigate complex market environments with confidence.
Key features include:
A dynamic oscillator line to reflect market momentum and reversals.
Clear gradient-based coloring to distinguish between bullish and bearish conditions.
Signal highlights for potential entry and exit points based on trend shifts.
This tool is particularly useful for identifying extended trends and provides a clean, intuitive interface for assessing market dynamics.
Improvements in the Improved Target Oscillator
Smoothing Feature:
Added an optional smoothing toggle, allowing the use of SMA or EMA for reducing noise.
Provides flexibility through adjustable smoothing length, enhancing clarity in choppy markets.
Alerts for Trade Opportunities:
Built-in alert conditions for bullish and bearish signals.
Allows traders to receive notifications when critical trend changes occur, ensuring they never miss an opportunity.
Customizable to integrate seamlessly into trading workflows.
Enhanced Visualization:
Introduced dynamic gradients for bullish and bearish conditions with improved customization options.
Provides clearer differentiation of momentum changes, improving interpretability.
Signal Highlights:
Improved visual cues for bullish and bearish signals with precise dot indicators.
Offers better alignment with oscillator momentum shifts, ensuring actionable insights.
Adaptability:
Tuned for use in capturing longer-term market trends, emphasizing its effectiveness in identifying sustained movements.
Adjusted oscillator sensitivity with a levels multiplier for better scalability across various market conditions.
Level Markers:
Clearer delineation of key oscillator levels, including half and full normalized levels for improved context.
A neutral line explicitly plotted for easier trend and momentum identification.
Summary
The Improved Target Oscillator combines a sophisticated mathematical foundation with practical visualization enhancements to deliver a more intuitive and precise tool for market analysis. With added flexibility, improved signals, and tailored features for longer-term trends, this oscillator is an essential resource for traders looking to refine their strategies.
-Jeffrey
Moving Average - VBVMoving Average VBV - with multiples lines with vertical shift
Médias Móveis VBV, com múltiplas linhas com deslocamento vertical.
Smart Money Concepts (Advanced)Inspired and initially based on LuxAlgo's Smart Money Concepts Indicator I created a library lib_smc that started to convert every function and return objects. This allowed certain customizations like tracking the current fill level of FVGs or tracking the creation of Order Blocks, by monitoring consecutive bars against the current trend.
This indicator is provided as is, based on, but probably not always be up to date with my lib_smc that I am using for my projects.
WARNING: This indicator shows EXPERIMENTAL Order Blocks that are tracked LIVE. Unlike usual Order Blocks these are not just based on the last confirmed Swing Point (formed 50 bars before) but on consecutive candles opposing an unconfirmed trend. Blocks are confirmed by price movements relative to the unconfirmed block and unconfirmed swing points. This means that some Order Blocks will appear on pullbacks, as well as reversals.
Features
Swing Points (HH / LH / HL / LL), indicating support / resistance zones price might reject off of or want to push through
Market Structure (BOS / ChoCh), indicates confirmation for a continued / changing trend
live Order Blocks (OB), see warning above.
Fair Value Gaps (FVG), optional from higher timeframes
Equal Highs / Lows (EQH/EQL), indicates strong support / resistance zones, especially when the bars forming it have long wicks toward that zone
using my lib_no_delay all moving averages are working from bar 0, so it can be used on charts with limited bars
Ultimate BackdoorUltimate Backdoor Indicator
EVERY MOVE STARTS with the ULTIMATE BACKDOOR
A customer favorite since its release, the Ultimate Backdoor Indicator turns our highly sought-after price action strategy into an intuitive, game-changing tool. More than just buy and sell arrows, it introduces dynamic Backdoor breakout lines, along with customizable alerts and dynamic stop placement.
This powerful indicator simplifies complex strategies while maximizing precision, making it an essential tool for mastering price action trading.
get it at UltimateScalper.com
MDI(Multi-Domi Index) Tommy 2.3.3Hello traders from all around the world!
Cryptocurrency trading often relies on conventional technical analysis tools derived from price charts to gauge momentum and potential trends. However, in today’s highly complex and data-driven markets, such methods might fall short in offering a comprehensive view of market dynamics. The MDI, which we are excited to introduce, steps beyond these traditional approaches by delivering insightful market perspectives rooted in dominance metrics, empowering traders to uncover hidden opportunities and make informed decisions for altcoin trading.
Understanding Crypto Dominance
Dominance metrics represent the market share held by key players like Bitcoin (BTC), Ethereum (ETH), and other altcoins. Historically, Bitcoin dominance fluctuates between 50–60%, while Ethereum accounts for 10–15%. Major altcoins (excluding BTC and ETH) comprise approximately 7–12%, with smaller altcoins taking up 20–30%. In addition, stablecoins like Tether (USDT) and USDC have become indispensable for interpreting market sentiment, as they indicate investor preferences for liquidity or risk aversion. Tracking these shifts in Stablecoins dominance can highlight potential trend reversals in both altcoins and Bitcoin.
Simplifying Complexity: A Holistic View
The interplay between these dominance figures—BTC, ETH, major altcoins, and stablecoins—can reveal significant market trends. However, analyzing these data points manually is both labor-intensive and error-prone. This is where the MDI comes in. It compiles, normalizes, and visualizes these metrics, offering traders a clear perspective on sectoral strength and market transitions.
Strategic Insights with MDI
This indicator is a cutting-edge tool designed to simplify the complexities of market dynamics and highlight critical turning points in the cryptocurrency market. By combining dominance metrics with advanced analytics, MDI provides traders with clear signals for identifying potential entry and exit points, particularly in altcoin trading.
Here’s how MDI works under the newly enhanced logic:
Stablecoin Dynamics and Altcoin Signals
1. Stablecoin Dominance at Peaks for Long Opportunities:
When the combined market capitalization of stablecoins (USDT + USDC) has risen significantly and begins to decline (indicating reduced investor preference for liquidity or risk-off assets), and simultaneously, altcoin market capitalization is at a trough and starts to rise, MDI signals a potential altcoin low. This condition is interpreted as a strong buy signal for altcoins, suggesting a shift in sentiment toward risk-taking.
2. Stablecoin Dominance at Troughs for Short Opportunities:
Conversely, when stablecoin market capitalization falls significantly and then begins to rise (indicating increased risk aversion), and altcoin market capitalization peaks and starts to decline, MDI signals a potential altcoin high. This scenario presents a sell signal for altcoins, marking a potential market correction.
Total Crypto Market and Sectoral Shifts
1. Rising Total Crypto Market with Falling BTC + ETH Market Cap for Altcoin Buys:
A positive derivative (slope) of the total cryptocurrency market cap, combined with a negative derivative of Bitcoin and Ethereum market capitalization, signals a flow of capital away from BTC and ETH into altcoins. This setup highlights a strong buy opportunity for altcoins, as market participants diversify into broader crypto sectors.
2. Falling Total Crypto Market with Rising BTC + ETH Market Cap for Altcoin Sells:
A negative derivative of the total cryptocurrency market cap, alongside a positive derivative for BTC and ETH market capitalization, suggests a flight to safety. This trend indicates investors are reallocating funds into BTC and ETH, resulting in a sell signal for altcoins.
Visualized Insights for Clear Decision-Making
MDI transforms these complex relationships into intuitive visualizations:
- White Line: Represents combined stablecoin dominance (USDT + USDC), providing insights into risk-on or risk-off sentiment.
- Orange Line: Tracks altcoin dominance, which can be configured to reflect either Major Altcoins (TOP6, excluding BTC, ETH, and stablecoins) or Other Altcoins (TOP10–100).
- Background Highlights:
* Green Background: Indicates a strong buy signal for altcoins when stablecoin dominance peaks, altcoin dominance troughs, and the total crypto market cap rises while BTC + ETH market cap declines.
* Red Background: Marks a sell signal for altcoins when stablecoin dominance troughs, altcoin dominance peaks, and the total crypto market cap falls while BTC + ETH market cap rises.
A New Standard for Crypto Analysis
With these features, the MDI equips traders with the tools to:
- Monitor Capital Flows: Detect shifts between stablecoins, BTC/ETH, and altcoins.
- Identify Confluence Zones: Find high-probability trading opportunities where multiple signals align.
- Adapt to Market Dynamics: Tailor the indicator’s parameters to align with your trading strategy, whether short-term scalping or long-term positioning.
By leveraging MDI, traders can move beyond conventional chart-based analysis and embrace a data-driven approach to navigating the complex and fast-evolving cryptocurrency markets.
Conclusion
The MDI is a powerful ally for traders navigating the volatile crypto landscape. Its ability to distill complex dominance dynamics into actionable insights makes it an indispensable tool for altcoin traders. Whether you're looking to capture market shifts or refine your entries and exits, this indicator offers the clarity you need.
* Please note:
To provide traders with clearer insights, green and red triangles have been added to the chart to highlight areas where green or red background signals occur. These triangles serve as a visual aid, allowing users to better understand how the market behaved during these signals and how the indicator’s logic aligns with price movements.
To access the indicator or for any questions, feel free to reach out via the Telegram link provided in our TradingView profile(Signature). Here's to smarter trading and better results!
안녕하세요, 트레이더 여러분, 토미입니다:)
크립토 트레이딩 시장에서는 도미넌스 분석이 점점 더 중요한 역할을 하고 있습니다. 특히 오늘날에는 단순히 차트 데이터를 넘어 온체인 데이터, 도미넌스 메트릭스 등 다양한 정보를 활용할 수 있는 환경이 조성되면서, 이를 종합적으로 분석해 유의미한 전략을 수립하는 것이 더욱 중요해졌습니다. 단순히 가격 차트만을 분석하던 과거와 달리, 지금은 시장 참여자들의 자금 흐름, 안정자산 선호도, 그리고 섹터별 강도를 파악하는 것 자체가 매매의 성공 확률을 높이는 핵심 요소가 되고 있습니다.
이러한 흐름 속에서 저희 팀은 이번에 MDI(Multiple Dominance Index)라는 새로운 지표를 개발했습니다. MDI는 각 스테이블코인, 비트코인, 이더리움, 주요 알트코인들, 그리고 크립토 시장 전체 시가총액 및 도미넌스 데이터를 기반으로 시장의 추세와 변곡점을 효과적으로 도출할 수 있도록 돕습니다. 특히, 알트코인에 특화된 분석을 제공하며 트레이더들이 시장에서 중요한 흐름을 포착하고, 보다 신중하고 근거 있는 매매 결정을 내릴 수 있도록 설계되었습니다.
이 가운데 스테이블코인은 크립토 시장에서 그 중요성이 날로 커지고 있습니다. 테더(USDT)는 대부분의 거래소에서 주요 유동성 자산으로 사용되고 있으며, 투자자들이 테더를 얼마나 보유하고 있는지와 그 보유량 변화는 시장 심리를 파악하는 데 중요한 단서를 제공합니다. 여기에 최근 빠르게 성장한 USDC까지 더해지며, 스테이블코인의 도미넌스는 시장 내 자금 흐름을 이해하는 데 필수적인 지표로 평가받고 있습니다.
뿐만 아니라, 크립토 시장의 도미넌스는 각각 독립적인 정보로도 의미가 있지만, 이들 사이의 상관관계 역시 매우 유의미합니다. 스테이블코인의 도미넌스는 리스크 선호와 회피 경향을 나타내며, 비트코인과 이더리움 도미넌스는 주요 자산으로의 자금 집중 현상을 반영합니다. 이런 데이터를 종합적으로 분석하고 이를 통해 시장을 판단하는 것은 트레이딩 성공의 핵심 요소 중 하나입니다. 하지만 이처럼 다양한 데이터를 단순히 확인하는 것만으로는 시장의 전반적인 흐름을 한눈에 이해하기 어렵습니다.
알트코인 섹터별 분석
MDI는 크게 두 가지 알트코인 섹터를 구분하여 각 섹터의 추세 강도와 변곡점을 도출하는 데 중점을 둡니다.
1. 메이저 알트코인 섹터
비트코인, 이더리움, 스테이블코인(USDT, USDC)을 제외한 TOP10 알트코인 중 상위 6개의 코인을 대상으로 합니다. 현재 기준으로 리플(XRP), 솔라나(SOL), BNB, 도지코인(DOGE), 에이다(ADA), 트론(TRX)이 해당됩니다.
2. 그 외 알트코인 섹터
메이저 알트코인을 제외한 TOP10에서 TOP100 사이의 코인들, 즉 시장에서 상대적으로 소형주 성격을 띠는 알트코인들을 대상으로 분석합니다.
이 두 섹터의 구분은 단순히 코인의 크기를 나누는 것이 아니라, 시장 내 자금 흐름과 섹터별 강도를 구체적으로 파악하기 위함입니다. MDI를 활용하면 각 섹터별로 상승 추세를 포착하거나 변곡점을 찾아낼 수 있습니다. 따라서 자신이 매매하고자 하는 알트코인이 메이저 알트코인 섹터에 속하는지, 아니면 그 외 알트코인 섹터에 속하는지를 명확히 파악한 뒤, 해당 섹터에 맞는 분석과 매매 전략을 세우는 것이 중요합니다.
스테이블코인과 알트코인 도미넌스
MDI는 스테이블코인(USDT + USDC)과 알트코인의 도미넌스 및 알트코인 시가총액의 상호작용을 분석하여 시장의 추세와 변곡점을 표시합니다. 이를 통해 알트코인 수급 현황을 직관적으로 확인할 수 있습니다.
1. 스테이블코인 도미넌스 고점 & 알트코인 도미넌스 저점 → 알트코인 Long
스테이블코인의 시가총액이 충분히 상승한 후 하락하기 시작하는 시점, 즉 스테이블코인 도미넌스가 고점에 도달했을 때, 시장은 안정자산에서 위험자산으로의 전환 신호를 보입니다.
동시에 알트코인 시가총액이 충분히 하락한 후 상승하기 시작하는 시점, 즉 알트코인 도미넌스가 저점에 도달했을 때, 이는 알트코인의 잠재적 저점을 나타내며 리스크 선호 심리가 시장에 반영되고 있음을 보여줍니다.
2. 스테이블코인 도미넌스 저점 & 알트코인 도미넌스 고점 → 알트코인 Short
반대로 스테이블코인의 시가총액이 충분히 하락한 후 상승하기 시작하는 시점, 즉 스테이블코인 도미넌스가 저점에 도달했을 때는 투자자들이 다시 안정자산으로 자금을 이동하고 있음을 나타냅니다.
이와 동시에 알트코인 시가총액이 충분히 상승한 후 하락하기 시작하는 시점, 즉 알트코인 도미넌스가 고점에 도달했을 때, 이는 알트코인의 잠재적 고점을 나타내며, 시장의 리스크 회피 심리가 강화되고 있음을 보여줍니다.
전체 크립토와 비트+이더 시가총액
전체 크립토 시장 시가총액과 비트코인+이더리움 시가총액의 관계를 분석하여 알트코인 시장의 과열기 또는 침체기 시점을 히스토그램으로 표현했습니다. 단순한 값이 아닌 미분값(기울기)을 적용해 시가총액 변화의 속도와 방향까지 반영했습니다. 이를 통해 추세 변화와 전환점을 사전에 감지할 수 있는 수학적으로 정교한 데이터 기반 통찰력을 제공합니다.
1. 전체 크립토 시장 상승 + BTC & ETH 하락 → 알트코인 Long
전체 암호화폐 시장의 시가총액이 상승세를 보이고, 동시에 비트코인과 이더리움의 시가총액이 하락세를 보인다면 이는 자금이 BTC와 ETH에서 알트코인으로 이동하고 있음을 나타냅니다. 이런 상황은 알트코인의 강한 매수 신호로 해석됩니다.
2. 전체 크립토 시장 하락 + BTC & ETH 상승 → 알트코인 Short
반대로 전체 암호화폐 시장의 시가총액이 하락세를 보이고, BTC와 ETH의 시가총액이 상승세를 보인다면 이는 투자자들이 안전자산으로 자금을 옮기고 있음을 의미합니다. 이는 알트코인의 매도 신호로 작용하며, 시장 조정을 예상할 수 있습니다.
지표 구성요소 설명
MDI는 복잡한 데이터를 직관적으로 이해할 수 있도록 시각화하여 제공합니다:
- 흰색 선: USDT와 USDC를 합친 스테이블코인 도미넌스를 나타냅니다
- 오렌지 산: 알트코인 도미넌스를 나타내며, 설정에 따라 메이저 TOP6 알트코인(비트, 이더, 스테이블 제외) 또는 알트코인(TOP10~100)을 선택할 수 있습니다.
또한, 중첩도(Confluence Level)를 보다 쉽게 확인할 수 있게 배경색을 넣었습니다.
- 초록색 배경: 스테이블코인 도미넌스가 고점에 도달하고 알트코인 도미넌스가 저점에 있는 상황에서, 전체 크립토 시장 시가총액이 상승하고 BTC+ETH 시가총액이 하락할 때 -> 알트코인 Long
- 빨간색 배경: 스테이블코인 도미넌스가 저점에 도달하고 알트코인 도미넌스가 고점에 있는 상황에서, 전체 크립토 시장 시가총액이 하락하고 BTC+ETH 시가총액이 상승할 때 -> 알트코인 Short
이번에도 강조드리지만, 이 시장에서 100% 확실한 것은 없습니다. MDI(Multiple Dominance Index) 지표 역시 다양한 신호가 겹치는 상황이나 구간, 즉 중첩 레벨(Confluence Level)을 참고하여 신중한 매매 결정을 내릴 때 참고하는 도구일 뿐입니다. 다양한 요소를 조합하고 자신만의 전략을 구축하여, 빠르게 변화하는 크립토 시장에서 일확천금이 아닌 안정적이고 꾸준한 수익을 추구하길 권장 드립니다.
본 지표 사용 권한을 원하시면 트레이딩뷰 프로필에 기재된 텔레그램 링크 DM을 통해 문의 바랍니다.