DeNoised Momentum [OmegaTools]The DeNoised Momentum by OmegaTools is a versatile tool designed to help traders evaluate momentum, acceleration, and noise-reduction levels in price movements. Using advanced mathematical smoothing techniques, this script provides a "de-noised" view of momentum by applying filters to reduce market noise. This helps traders gain insights into the strength and direction of price trends without the distractions of market volatility. Key components include a DeNoised Moving Average (MA), a Momentum line, and Acceleration bars to identify trend shifts more clearly.
Features:
- Momentum Line: Measures the percentage change of the de-noised source price over a specified look-back period, providing insights into trend direction.
- Acceleration (Ret) Bars: Visualizes the rate of change of the source price, helping traders identify momentum shifts.
- Normal and DeNoised Moving Averages: Two moving averages, one based on close price (Normal MA) and the other on de-noised data (DeNoised MA), enable a comparison of smoothed trends versus typical price movements.
- DeNoised Price Data Plot: Displays the current de-noised price, color-coded to indicate the relationship between the Normal and DeNoised MAs, which highlights bullish or bearish conditions.
Script Inputs:
- Length (lnt): Sets the period for calculations (default: 21). It influences the sensitivity of the momentum and moving averages. Higher values will smooth the indicator further, while lower values increase sensitivity to price changes.
The Length does not change the formula of the DeNoised Price Data, it only affects the indicators calculated on it.
Indicator Components:
1. Momentum (Blue/Red Line):
- Calculated using the log of the percentage change over the specified period.
- Blue color indicates positive momentum; red indicates negative momentum.
2. Acceleration (Gray Columns):
- Measures the short-term rate of change in momentum, shown as semi-transparent gray columns.
3. Moving Averages:
- Normal MA (Purple): A standard simple moving average (SMA) based on the close price over the selected period.
- DeNoised MA (Gray): An SMA of the de-noised source, reducing the effect of market noise.
4. DeNoised Price Data:
- Represented as colored circles, with blue indicating that the Normal MA is above the DeNoised MA (bullish) and red indicating the opposite (bearish).
Usage Guide:
1. Trend Identification:
- Use the Momentum line to assess overall trend direction. Positive values indicate upward momentum, while negative values signal downward momentum.
- Compare the Normal and DeNoised MAs: when the Normal MA is above the DeNoised MA, it indicates a bullish trend, and vice versa for bearish trends.
2. Entry and Exit Signals:
- A change in the Momentum line's color from blue to red (or vice versa) may indicate potential entry or exit points.
- Observe the DeNoised Price Data circles for early signs of a trend reversal based on the interaction between the Normal and DeNoised MAs.
3. Volatility and Noise Reduction:
- By utilizing the DeNoised MA and de-noised price data, this indicator helps filter out minor fluctuations and focus on larger price movements, improving decision-making in volatile markets.
Centered Oscillators
MACD Signals w/CCIVery accurate Buy and Sell Signals that Utilize crossing MACDs in Bullish and Bearish Trends with both CCI and Volume Confirmation. Backtests have been showing good results on all time frames and it is doing well intraday trading.
TRX V7:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
Mc-HThis modified MACD indicator displays the MACD line as a histogram with a background color change to highlight when MACD is above or below zero. It helps visualize momentum shifts more clearly for better trading insights.
Candlestick Pattern Strategy with RSI, MACD, and Moving AveragesThis script combines powerful candlestick patterns with key indicators (RSI, MACD, and Moving Averages) to provide strong, reliable signals for options trading or general trading. By analyzing multiple conditions, it reduces false signals and provides trade recommendations only when the candlestick patterns align with the overall trend and momentum.
Key Features:
Candlestick Patterns:
Hammer: Signals a bullish reversal when it appears at the bottom of a downtrend. This pattern suggests that buyers are stepping in to push the price up.
Shooting Star: Signals a bearish reversal when it appears at the top of an uptrend, indicating that sellers have taken control.
Indicators Used:
Moving Averages (SMA): Uses a short-term (9-period) and a long-term (21-period) SMA to identify the overall trend. A bullish trend is confirmed when the short SMA is above the long SMA, and a bearish trend when the short SMA is below the long SMA.
Relative Strength Index (RSI): A momentum indicator. Bullish signals are confirmed when the RSI is above 50, indicating positive momentum, and bearish signals when the RSI is below 50.
MACD: A trend-following indicator. Bullish signals are confirmed when the MACD line is above the Signal line, and bearish signals when the MACD line is below the Signal line.
How It Works:
Bullish Signal (Call): Generated when a Hammer pattern appears, the short SMA is above the long SMA, RSI is above 50, and the MACD line is above the Signal line. This indicates a high-probability uptrend, making it a good time to consider a Call option.
Bearish Signal (Put): Triggered when a Shooting Star pattern appears, the short SMA is below the long SMA, RSI is below 50, and the MACD line is below the Signal line. This indicates a high-probability downtrend, making it a good time to consider a Put option.
Visual Cues:
Arrows on the chart indicate buy (Call) or sell (Put) signals based on the pattern.
Background color changes to green or red depending on the bullish or bearish conditions, helping you quickly spot trends.
Text labels for "CALL OPTION," "PUT OPTION," or "NO SIGNAL" are added to each bar for additional clarity.
Use Cases: This strategy is suitable for:
Options Traders: Helps in identifying high-probability Call or Put scenarios based on trend and momentum.
Trend Followers: Allows traders to enter the trend with confirmation, reducing the likelihood of false signals.
Swing Traders: Effective for identifying reversals at key levels, supported by additional indicators.
Disclaimer: This script is for educational purposes only and should not be considered financial advice. Always perform your own research and backtest strategies before trading with real funds. Market conditions can vary, so it’s essential to adjust the parameters and use risk management practices.
RSI & Impulse MACD Buy/Sell Signal//@version=5
indicator("RSI & Impulse MACD Buy/Sell Signal", overlay=true)
// Define RSI settings
rsiPeriod = 14
rsiSource = close
rsi = ta.rsi(rsiSource, rsiPeriod)
// Define MACD settings
macdFastLength = 12
macdSlowLength = 26
macdSignalSmoothing = 9
= ta.macd(close, macdFastLength, macdSlowLength, macdSignalSmoothing)
// Detect MACD crossing above and below zero
macdAboveZero = ta.crossover(macdLine, 0)
macdBelowZero = ta.crossunder(macdLine, 0)
// Function to check for RSI bullish divergence
isBullishDivergence(rsiSource, rsi) =>
// Find the lowest low of the last 5 bars
low1 = ta.valuewhen(low == ta.lowest(low, 5), low, 0)
low2 = ta.valuewhen(low == ta.lowest(low, 5), low, 1)
// Find corresponding RSI values at those lows
rsi1 = ta.valuewhen(low == ta.lowest(low, 5), rsi, 0)
rsi2 = ta.valuewhen(low == ta.lowest(low, 5), rsi, 1)
// Check if we have a bullish divergence: price makes a lower low, and RSI makes a higher low
priceDivergence = (low1 < low2) and (rsi1 > rsi2)
priceDivergence
// Function to check for RSI bearish divergence
isBearishDivergence(rsiSource, rsi) =>
// Find the highest high of the last 5 bars
high1 = ta.valuewhen(high == ta.highest(high, 5), high, 0)
high2 = ta.valuewhen(high == ta.highest(high, 5), high, 1)
// Find corresponding RSI values at those highs
rsi1 = ta.valuewhen(high == ta.highest(high, 5), rsi, 0)
rsi2 = ta.valuewhen(high == ta.highest(high, 5), rsi, 1)
// Check if we have a bearish divergence: price makes a higher high, and RSI makes a lower high
priceDivergence = (high1 > high2) and (rsi1 < rsi2)
priceDivergence
// Check for bullish and bearish divergences in RSI
bullishDivergence = isBullishDivergence(rsiSource, rsi)
bearishDivergence = isBearishDivergence(rsiSource, rsi)
// Condition for Buy Signal: MACD crossing above zero + RSI bullish divergence
buySignal = macdAboveZero and bullishDivergence
// Condition for Sell Signal: MACD crossing below zero + RSI bearish divergence
sellSignal = macdBelowZero and bearishDivergence
// Plot buy and sell signals on the chart
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Plot RSI and MACD on the chart for reference
plot(rsi, title="RSI", color=color.blue, linewidth=1)
hline(70, "Overbought", color=color.red)
hline(30, "Oversold", color=color.green)
plot(macdLine, title="MACD Line", color=color.blue)
plot(signalLine, title="Signal Line", color=color.orange)
hline(0, "MACD Zero Line", color=color.gray)
2024_V01 - ComLucroRPI - ComLucro Relative PerformanceTake your analysis to the next level with the 2024_V01 - ComLucroRPI - ComLucro Relative Performance indicator, designed to track and visualize an asset’s relative performance against a selected index with precision and clarity. This script is perfect for traders and analysts who want to assess how an asset is performing over various timeframes relative to a benchmark index (defaulting to the S&P 500). Gain deeper insight into trends and make more informed trading decisions by comparing performance across multiple time intervals directly on your chart.
✨ Key Features:
Relative Performance Tracking: Measure your asset’s performance relative to a benchmark index over customizable periods (default: 20, 50, and 200 periods). Ideal for evaluating trends in short, medium, and long-term horizons.
Dynamic Color Coding: Instantly see performance trends at a glance. Positive performance values are displayed in green, neutral (0%) in yellow, and negative performance in red, providing an easy-to-read visual cue.
Adjustable Summary Label: Includes a detailed summary label of relative performance for each period, positioned at the end of the indicator pane. This label can be toggled on or off, allowing you to customize your display for clarity and focus.
Customizable Colors and Settings: Adjust the colors of performance lines and configure index symbols, making it adaptable to your personal trading style and preference.
User-Friendly Integration: Positioned in a separate indicator window, this tool keeps your primary price chart clean and focused while offering advanced comparative data just below it.
🔧 How It Works:
The script calculates the percentage change of the asset’s closing price and the selected index over the specified lookback periods (e.g., 20, 50, 200 periods).
It plots the relative performance lines in the indicator pane, with each line representing one of the selected periods.
A detailed summary label is optionally displayed, showing the asset’s and index’s percentage changes for each period, with easy-to-interpret color-coded values.
🚀 Optimize Your Trading Strategy with Comparative Insights! For traders and analysts seeking refined tools for evaluating asset performance relative to major indices, this script is an invaluable addition. Whether you’re using it for trend analysis, portfolio comparison, or as part of a larger trading strategy, the 20241105 - CL-RPI provides essential insights to support your decision-making process.
🔗 Stay updated! Follow us on YouTube at ComLucro Trader for more tutorials, tips, and tools to advance your trading!
🌐 Explore more at comlucro.com.br : Access exclusive scripts, in-depth insights, and strategies tailored to elevate your market understanding and performance.
Algorithmic MACD [MarketScope.ai]The Algorithmic MACD by MarketScope.ai is an advanced adaptation of the traditional MACD indicator, optimized for algorithmic trading. This tool combines a Smoothed Moving Average (SMMA) and a Zero-Lag EMA (ZLEMA) to detect subtle shifts in market momentum, making it highly responsive to real-time price movements. By highlighting overbought and oversold conditions with dynamic color coding, it offers an intuitive view of trend strength and potential reversals. The addition of a signal line and histogram helps confirm trade entries and exits, making this indicator ideal for both short-term and long-term traders seeking to enhance their trading strategies.
About MarketScope.ai: MarketScope.ai is a leading provider of AI-powered financial tools and market insights, specializing in developing cutting-edge indicators and algorithms for traders of all levels. With a commitment to precision and innovation, MarketScope.ai combines data science, quantitative analysis, and artificial intelligence to deliver actionable trading signals and enhance decision-making. Their tools are designed for accuracy, speed, and adaptability, providing traders with the confidence to navigate complex market conditions.
Sabit-Çoklu EMA İndikatörü# SABIT ÇOKLU EMA İNDIKATÖRÜ
## Teknik Analiz Eğitimi ve Kullanım Kılavuzu
### 1. İNDİKATÖR TANIMI
Sabit Çoklu EMA (Exponential Moving Average) indikatörü, belirlenen bir başlangıç noktasından itibaren 7 farklı periyotta üstel hareketli ortalama hesaplayan ve bunları aynı grafik üzerinde gösteren bir teknik analiz aracıdır.
### 2. KULLANILAN EMA PERİYOTLARI
- EMA 13 (Kısa vadeli trend)
- EMA 21 (Kısa-orta vadeli trend)
- EMA 34 (Orta vadeli trend)
- EMA 55 (Orta-uzun vadeli trend)
- EMA 89 (Uzun vadeli trend)
- EMA 144 (Uzun vadeli ana trend)
- EMA 233 (Süper uzun vadeli ana trend)
### 3. İNDİKATÖRÜN ÖZELLİKLERİ
#### A. Temel Özellikler
- Belirli bir tarihten başlatılabilme
- Her EMA için özelleştirilebilir renkler
- Ayarlanabilir çizgi kalınlıkları
- EMA'ları tek tek gösterip/gizleyebilme
- Farklı fiyat kaynaklarını kullanabilme (Close, Open, High, Low)
#### B. Teknik Avantajları
- Trend değişimlerini erken tespit
- Momentum ölçümü
- Destek/Direnç seviyelerini belirleme
- Çoklu zaman dilimi analizi
- Fiyat hareketlerinin teyidi
### 4. KULLANIM STRATEJİLERİ
#### A. Trend Analizi
1. **Trend Yönü Tespiti:**
- EMA çizgilerinin sıralaması trendi gösterir
- Yükselen trend: Kısa vadeli EMA'lar üstte
- Düşen trend: Uzun vadeli EMA'lar üstte
2. **Trend Gücü Analizi:**
- EMA'lar arası mesafe trendin gücünü gösterir
- Geniş aralık = Güçlü trend
- Dar aralık = Zayıf trend
#### B. Giriş-Çıkış Stratejileri
1. **Alış Sinyalleri:**
- Kısa vadeli EMA'nın uzun vadeli EMA'yı yukarı kesmesi
- Fiyatın tüm EMA'ların üzerine çıkması
- EMA'ların fan şeklinde açılması
2. **Satış Sinyalleri:**
- Kısa vadeli EMA'nın uzun vadeli EMA'yı aşağı kesmesi
- Fiyatın tüm EMA'ların altına inmesi
- EMA'ların ters fan şeklinde kapanması
### 5. ÖZEL KULLANIM DURUMLARI
#### A. Destek/Direnç Tespiti
- EMA çizgileri dinamik destek/direnç noktaları oluşturur
- Özellikle 89, 144 ve 233 güçlü destek/direnç seviyeleridir
#### B. Volatilite Analizi
- EMA'lar arası mesafenin artması = Volatilite artışı
- EMA'ların sıkışması = Volatilite düşüşü
### 6. RİSK YÖNETİMİ
1. **Stop Loss Belirleme:**
- En yakın EMA seviyesi altı/üstü
- Kritik EMA seviyelerinin kırılması
- EMA gruplarının değişimi
2. **Pozisyon Boyutlandırma:**
- EMA'lar arası mesafeye göre
- Trend gücüne göre
- Volatilite durumuna göre
### 7. KULLANIM İPUÇLARI
1. **En İyi Çalıştığı Durumlar:**
- Trendli piyasalar
- Yüksek likidite
- Normal volatilite
2. **Dikkat Edilmesi Gerekenler:**
- Yatay piyasalarda yanlış sinyal üretebilir
- Ani fiyat hareketlerinde geç kalabilir
- Diğer indikatörlerle teyit alınmalı
### 8. ÖRNEK SENARYO ANALİZLERİ
#### A. Güçlü Yükselen Trend
1. EMA'lar sırasıyla dizilir (13>21>34>55>89>144>233)
2. Aralarındaki mesafe giderek artar
3. Fiyat çoğunlukla EMA 13 üzerinde seyreder
#### B. Trend Dönüşü
1. EMA'lar birbirine yaklaşır
2. Kısa vadeli EMA'lar kesişmeye başlar
3. EMA sıralaması bozulur
4. Yeni trend yönünde yeniden dizilim başlar
### 9. OPTİMİZASYON ÖNERİLERİ
1. **Zaman Dilimi Seçimi:**
- Günlük: Uzun vadeli trendler
- 4 Saatlik: Orta vadeli trendler
- 1 Saatlik: Kısa vadeli trendler
2. **Piyasa Tipine Göre Ayarlama:**
- Hisse Senedi: Standart ayarlar
- Forex: Daha hassas ayarlar
- Kripto: Volatiliteye göre ayarlanmış
### 10. SONUÇ VE ÖNERİLER
1. **Başarılı Kullanım İçin:**
- Trend takibi yapın
- Diğer indikatörlerle teyit alın
- Risk yönetimi kurallarına uyun
- Piyasa koşullarına göre optimize edin
2. **Kaçınılması Gerekenler:**
- Tek başına kullanmamak
- Aşırı işlem yapmamak
- Tüm piyasa koşullarında kullanmaya çalışmamak
MTF CCI Scanner# MTF CCI Scanner
A powerful multi-timeframe analysis tool that displays the Commodity Channel Index (CCI) across 8 different timeframes in a clear, organized table format. This indicator helps traders identify potential trend changes and market conditions across multiple time periods simultaneously.
## Key Features
1. Displays CCI values across 8 timeframes:
- M1 (1 minute)
- M3 (3 minutes)
- M5 (5 minutes)
- M15 (15 minutes)
- M30 (30 minutes)
- H1 (1 hour)
- H4 (4 hours)
- D1 (1 day)
2. Table Display:
- Three columns showing Timeframe, CCI Value, and State
- Color-coded for easy interpretation:
* Red: Overbought condition
* Green: Oversold condition
* Gray: Neutral state
- Custom text size options
- Flexible table positioning
3. Customizable Parameters
### CCI Settings
- Individual CCI length for each timeframe (default: 20)
- Customizable overbought/oversold levels
- Default levels:
* Overbought: +100
* Oversold: -100
### Visual Settings
- Adjustable table position (Top Right, Top Left, Bottom Right, Bottom Left)
- Configurable text size (Tiny, Small, Normal, Large)
- Option to show/hide the table
## Applications
1. Multi-Timeframe Analysis:
- Identify trend alignment across different timeframes
- Spot divergences between timeframes
- Confirm trading signals with multiple time period analysis
2. Market Condition Assessment:
- Quick overview of market states across timeframes
- Identify potential overbought/oversold conditions
- Monitor trend strength and momentum
3. Trading Strategy Support:
- Entry and exit point confirmation
- Trend reversal detection
- Risk management assistance
## Benefits
1. Comprehensive Analysis:
- All-in-one view of multiple timeframes
- Instant market condition assessment
- Efficient decision-making support
2. Visual Clarity:
- Clear, organized data presentation
- Color-coded states for quick interpretation
- Customizable display options
3. Trading Efficiency:
- Saves time by displaying multiple timeframes simultaneously
- Reduces the need to switch between charts
- Helps identify high-probability trading opportunities
This indicator is ideal for traders who use CCI in their analysis and want to implement a multi-timeframe approach to their trading strategy. It's particularly useful for day traders and swing traders who need to monitor multiple timeframes efficiently.
CCI Histogram with Color### CCI Histogram with Color Gradients
A custom Commodity Channel Index (CCI) indicator that transforms the traditional line-based CCI into an easy-to-read histogram with color gradients. This visualization enhancement helps traders quickly identify overbought and oversold conditions through intuitive color coding.
#### Key Features
• **Enhanced Visualization**: Displays CCI as color-coded histogram bars instead of traditional lines
• **Adaptive Color Scheme**: Uses optimized colors for better visibility on light backgrounds
• **Customizable Parameters**: Easily adjust period length, source, and histogram width
• **Reference Lines**: Clear dotted lines at key levels for quick reference
#### Color Interpretation
• **Deep Forest Green** (≥ +200): Strong overbought condition
• **Medium Green** (≥ +100): Moderate overbought condition
• **Dark Slate Gray** (-100 to +100): Neutral zone
• **Indian Red** (≤ -100): Moderate oversold condition
• **Dark Red** (≤ -200): Strong oversold condition
#### Customizable Inputs
• **CCI Length**: Default 20 periods (adjustable)
• **Source**: Default close price (adjustable)
• **Multiplier**: Default 0.015 (standard CCI constant)
• **Histogram Width**: Default 4 (adjustable 1-10)
#### Trading Usage
1. **Overbought/Oversold Signals**:
- Strong signals above +200 or below -200
- Moderate signals between +100 to +200 and -100 to -200
2. **Trend Confirmation**:
- Green histograms indicate bullish momentum
- Red histograms indicate bearish momentum
- Gray indicates consolidation or neutral trend
3. **Divergence Analysis**:
- Compare histogram peaks/troughs with price action
- Look for potential reversals when divergences occur
#### Notes
• Optimized for light theme backgrounds (#d7d6d0)
• Includes value labels for precise readings
• Reference lines help identify key levels
• Dotted reference lines ensure histogram visibility
#### Best Practices
• Use in conjunction with other indicators for confirmation
• Monitor histogram color changes for potential trend shifts
• Pay attention to extreme readings (beyond ±200)
• Watch for histogram height and color intensity changes
#### Updates
Version 1.0
- Initial release with basic color coding
Version 1.1
- Added customizable histogram width
- Optimized colors for light backgrounds
- Added value labels
#### Author's Note
This indicator is designed to make CCI analysis more intuitive through visual enhancement while maintaining the reliability of the traditional CCI calculation method.
Forecast Based Price ActionCara Memabaca Indikator :
1. Memahami Tren Berdasarkan MACD:
--> Amati apakah MACD sedang mengindikasikan tren naik atau turun.
--> Saat indikator menunjukkan uptrend, garis dan area berwarna hijau muncul, yang menunjukkan proyeksi kenaikan harga.
--> Saat indikator menunjukkan downtrend, garis dan area berwarna merah muncul, menunjukkan proyeksi penurunan harga.
2. Menggunakan Garis Proyeksi untuk Sinyal Perdagangan:
--> Upper Line: Jika harga mendekati garis atas, ini bisa menjadi sinyal untuk mempertimbangkan penjualan atau pengurangan posisi, karena harga mungkin mencapai resistensi.
--> Middle Line: Menunjukkan proyeksi harga rata-rata dan dapat digunakan untuk memvalidasi arah tren.
--> Lower Line: Jika harga mendekati garis bawah, ini bisa menjadi sinyal untuk mempertimbangkan pembelian atau penambahan posisi, karena harga mungkin mencapai support.
3. Menggunakan Area Warna untuk Validasi Sinyal:
--> Uptrend Area (Hijau): Ketika area ini muncul, fokus pada peluang beli jika harga mendekati zona support atau garis bawah proyeksi.
--> Downtrend Area (Merah): Saat area ini muncul, fokus pada peluang jual jika harga mendekati zona resistensi atau garis atas proyeksi.
--> Signal Area: Warna tambahan pada latar belakang chart dapat memberi indikasi visual pada perubahan tren; hijau untuk tren naik yang kuat, dan merah untuk tren turun yang kuat.
Power of TrendCara Membaca Indikator :
1. Komponen Indikator
--> Bull Power: Selisih antara nilai tertinggi (high) dan Exponential Moving Average (EMA) dari harga penutupan dengan panjang yang ditentukan oleh pengguna.
--> Bear Power: Selisih antara nilai terendah (low) dan EMA dari harga penutupan dengan panjang yang sama.
--? BBPower (bbp): Jumlah dari Bull Power dan Bear Power. Nilai inilah yang akan digambarkan pada chart.
2. Interpretasi Nilai BBPower
--> BBPower Positif: Ketika bbp bernilai positif (di atas garis nol), indikator menunjukkan bahwa tren cenderung bullish atau sedang naik. Dalam kode ini, BBPower ditampilkan dengan warna hijau tua ketika positif.
--> BBPower Negatif: Ketika bbp bernilai negatif (di bawah garis nol), indikator menunjukkan bahwa tren cenderung bearish atau sedang turun. BBPower ditampilkan dengan warna merah tua ketika negatif.
3. Garis Nol (Zero Line)
--> Garis horizontal di level nol digunakan sebagai batas antara kondisi bullish dan bearish.
--> Ketika BBPower melewati garis nol dari bawah ke atas, ini bisa dianggap sebagai sinyal potensi pembalikan ke tren bullish.
--> Ketika BBPower melewati garis nol dari atas ke bawah, ini bisa dianggap sebagai sinyal potensi pembalikan ke tren bearish.
MACD with HiddenCara Membaca indikator :
1. Garis MACD dan Sinyal
--> Garis MACD: Dibentuk dari selisih antara moving average cepat dan lambat. Dalam pengaturan ini, moving average cepat adalah periode 12 dan lambat periode 26.
--> Garis Sinyal: Moving average dari garis MACD, yang berfungsi sebagai garis referensi untuk sinyal beli dan jual.
--> Histogram: Merupakan selisih antara garis MACD dan sinyal. Histogram positif menunjukkan momentum bullish, dan histogram negatif menunjukkan momentum bearish.
2. Histogram
--> Warna Hijau Tua : Histogram positif yang menunjukkan kenaikan (bullish).
--> Warna Hijau Muda : Histogram positif, tetapi mulai turun (indikasi penurunan momentum bullish).
--> Warna Merah Muda : Histogram negatif yang mulai naik (indikasi momentum bearish mulai melemah).
--> Warna Merah Tua : Histogram negatif yang menunjukkan momentum bearish yang kuat.
3. Bullish dan Bearish Divergence
--> Regular Bullish Divergence: Ditandai dengan low harga yang lebih rendah, tetapi low pada MACD lebih tinggi, menunjukkan potensi pembalikan ke arah bullish.
--> Hidden Bullish Divergence: Ditandai dengan low harga yang lebih tinggi, tetapi low pada MACD lebih rendah, mengindikasikan kelanjutan tren bullish.
--> Regular Bearish Divergence: Ditandai dengan high harga yang lebih tinggi, tetapi high pada MACD lebih rendah, menunjukkan potensi pembalikan ke arah bearish.
--> Hidden Bearish Divergence: Ditandai dengan high harga yang lebih rendah, tetapi high pada MACD lebih tinggi, mengindikasikan kelanjutan tren bearish.
4. Label dan Warna
--> Label Bullish dan Bearish: Label "Bullish" atau "Bearish" akan muncul pada grafik jika kondisi divergence regular atau hidden divergence terpenuhi.
--> Warna Garis:
Hijau untuk bullish divergence (regular dan hidden).
Merah untuk bearish divergence (regular dan hidden).
3 in 1 OscillatorCara Membaca Indikator :
1. CCI (Commodity Channel Index)
--> Fungsi: CCI mengukur variasi harga terhadap harga rata-rata. CCI positif menunjukkan harga lebih tinggi dari rata-rata, sedangkan CCI negatif menunjukkan harga lebih rendah dari rata-rata.
--> Pembacaan:
a. Level 100 dan -100: Pada saat CCI mencapai level ini, indikator akan memberikan sinyal area jenuh beli (di atas 100) atau jenuh jual (di bawah -100).
--> Interpretasi:
a. Jika CCI melewati 100, ini bisa menandakan tren naik yang kuat.
b. Jika turun di bawah -100, ini bisa menandakan tren turun yang kuat.
2. OBV (On-Balance Volume)
--> Fungsi: OBV mengukur tekanan beli dan jual berdasarkan volume. Jika OBV meningkat, ini menandakan tekanan beli yang mungkin mengindikasikan kenaikan harga, dan sebaliknya.
--> Pembacaan:
a. OBV yang terus naik mengindikasikan bahwa tren naik sedang berlangsung.
b. OBV yang menurun menandakan bahwa tren turun sedang dominan.
--> Interpretasi:
a. Gunakan garis yang ditarik pada OBV untuk mengidentifikasi perubahan tren. Ketika OBV menembus garis resistance atau support yang ditentukan, ini bisa memberikan sinyal perubahan tren.
3. Momentum
--> Fungsi: Momentum menunjukkan perbedaan harga saat ini dengan harga beberapa periode sebelumnya. Momentum yang positif menunjukkan tren naik, sementara momentum negatif menunjukkan tren turun.
--> Pembacaan:
a. Ketika nilai Momentum meningkat, ini menunjukkan tren naik yang kuat, dan ketika menurun, ini menunjukkan tren turun.
b. Momentum yang menurun saat harga meningkat mungkin menunjukkan pelemahan dalam tren dan potensi pembalikan.
4. Titik Pivot dan Garis Tren
--> Indikator ini juga menggunakan titik pivot untuk menandai level tinggi dan rendah yang signifikan dalam pergerakan harga.
--> Garis tren ditarik antara titik pivot tinggi dan rendah untuk membantu menentukan level support dan resistance dinamis.
--> Pembacaan:
a. Jika garis tren naik atau turun yang ditarik tidak ditembus, maka tren bisa tetap berlanjut.
Ketika harga mendekati atau melewati garis tren, ini bisa menjadi tanda bahwa tren mungkin akan berbalik.
5. Contoh Interpretasi
--> Skenario Bullish: Jika CCI atau Momentum menunjukkan sinyal positif (misalnya, CCI di atas 100) dan harga mendekati support pada garis tren yang ditarik dari titik pivot rendah, ini bisa menjadi sinyal untuk masuk ke posisi beli.
--> Skenario Bearish: Jika OBV menurun dan garis tren menurun pada titik pivot tinggi tidak ditembus, ini bisa menjadi sinyal untuk posisi jual atau antisipasi penurunan lebih lanjut.
Long Short MomentumThis indicator is designed to visualize short-term and long-term momentum trends.The indicator calculates two momentum lines based on customizable lengths: a short momentum (Short Momentum) over a smaller period and a long momentum (Long Momentum) over a longer period. These lines are plotted relative to the chosen price source, typically the closing price.
The histogram, colored dynamically based on momentum direction, gives visual cues:
Green: Both short and long momentum are positive, indicating an upward trend.
Red: Both are negative, indicating a downward trend.
Gray: Mixed momentum, suggesting potential trend indecision.
COT Trendfilter + SignalsCOT Trendfilter + Signals Indicator
Data Processing and Usage: The COT indicator processes Commitments of Traders (COT) data provided by the CFTC. Users can select from various participant groups, including Commercials, Large Speculators, and Small Speculators. However, it is important to note that the signal logic of the indicator is exclusively applicable to the net positions of Commercials. This is because Commercials tend to trade contrarily, meaning their trading decisions often run against the prevailing market trend.
Functionality of the Indicators
1. Cycle COT
The cCOT is an enhanced version of the classic RSI. It incorporates additional smoothing based on market vibrations, along with adaptive upper and lower bands based on cyclical memory. The cCOT uses the current dominant cycle length as input and highlights trading signals when the signal line crosses above or below the adaptive bands. Compared to the standard RSI, the cCOT responds more quickly to market movements.
For detailed information on the cCOT, please refer to Chapter 4 "Fine tuning technical indicators" in the book "Decoding the Hidden Market Rhythm, Part 1" by Lars von Thienen.
2. Adaptive Ultra-Smooth Momentum Indicator
The Adaptive Ultra-Smooth Momentum Indicator (CSI) provides an optimized momentum oscillator based on the current dominant cycle. It addresses three common issues with standard indicators: excessive false signals, signal delay, and the need for length adjustments. The CSI offers adaptive smoothing, zero delay, and accurate detection of turning points.
For further information about the CSI, please refer to Chapter 10 "Cycle Swing Indicator: Trading the swing of the dominant cycle" in the book "Decoding the Hidden Market Rhythm, Part 1" by Lars von Thienen.
Signals and Validation
The indicator generates various trading signals:
cCOT:
A buy signal is indicated by an airplane emoji (🛫), while a sell signal is marked by another airplane emoji (🛬).
COT Momentum:
A buy signal is shown by the symbol “∿” in green, while a sell signal is represented by the same symbol in red.
Standard COT Index (Willco):
A buy signal is depicted by a “B” (in green), while a sell signal is shown by an “S” (in red).
Additionally, the validity of the signals is checked. If a previous signal becomes invalid in the following week, it is marked with a gray “x,” indicating that these signals may not be reliable. Users can also switch between net positions, long, and short to analyze the most relevant data for them.
Background Color
The color in the channel can indicate the strength of the Commercials' long-term trend. A channel background color signals an active long-, short-term trend, while no color suggests that there is no clear long-term trend present.
Strange behavior
When only a sharp spike is displayed and the rest is flat, the length settings of the Cycle Length Index should be increased. This can occur when the length is too short, resulting in an unusual spike to properly generate the channel.
Disclaimer
The use of this indicator and the generated signals is at your own risk. The author assumes no responsibility for trading decisions made based on these signals. Please be aware that trading financial instruments involves risks.
MACD Cloud with Moving Average and ATR BandsThe algorithm implements a technical analysis indicator that combines the MACD Cloud, Moving Averages (MA), and volatility bands (ATR) to provide signals on market trends and potential reversal points. It is divided into several sections:
🎨 Color Bars:
Activated based on user input.
Controls bar color display according to price relative to ATR levels and moving average (MA).
Logic:
⚫ Black: Potential bearish reversal (price above the upper ATR band).
🔵 Blue: Potential bullish reversal (price below the lower ATR band).
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🟢 Green: Bullish trend (price between the MA and upper ATR band).
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🔴 Red: Bearish trend (price between the lower ATR band and MA).
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📊 MACD Bars:
Description:
The MACD Bars section is activated by default and can be modified based on user input.
🔴 Red: Indicates a bearish trend, shown when the MACD line is below the Signal line (Signal line is a moving average of MACD).
🔵 Blue: Indicates a bullish trend, shown when the MACD line is above the Signal line.
Matching colors between MACD Bars and MACD Cloud visually confirms trend direction.
MACD Cloud Logic: The MACD Cloud is based on Moving Average Convergence Divergence (MACD), a momentum indicator showing the relationship between two moving averages of price.
MACD and Signal Lines: The cloud visualizes the MACD line relative to the Signal line. If the MACD line is above the Signal line, it indicates a potential bullish trend, while below it suggests a potential bearish trend.
☁️ MA Cloud:
The MA Cloud uses three moving averages to analyze price direction:
Moving Average Relationship: Three MAs of different periods are plotted. The cloud turns green when the shorter MA is above the longer MA, indicating an uptrend, and red when below, suggesting a downtrend.
Trend Visualization: This graphical representation shows the trend direction.
📉 ATR Bands:
The ATR bands calculate overbought and oversold limits using a weighted moving average (WMA) and ATR.
Center (matr): Shows general trend; prices above suggest an uptrend, while below indicate a downtrend.
Up ATR 1: Marks the first overbought level, suggesting a potential bearish reversal if the price moves above this band.
Down ATR 1: Marks the first oversold level, suggesting a possible bullish reversal if the price moves below this band.
Up ATR 2: Extends the overbought range to an extreme, reinforcing the possibility of a bearish reversal at this level.
Down ATR 2: Extends the oversold range to an extreme, indicating a stronger bullish reversal possibility if price reaches here.
Español:
El algoritmo implementa un indicador de análisis técnico que combina la nube MACD, promedios móviles (MA) y bandas de volatilidad (ATR) para proporcionar señales sobre tendencias del mercado y posibles puntos de reversión. Se divide en varias secciones:
🎨 Barras de Color:
- Activado según la entrada del usuario.
- Controla la visualización del color de las barras según el precio en relación con los niveles de ATR y el promedio móvil (MA).
- **Lógica:**
- ⚫ **Negro**: Reversión bajista potencial (precio por encima de la banda superior ATR).
- 🔵 **Azul**: Reversión alcista potencial (precio por debajo de la banda inferior ATR).
- 🟢 **Verde**: Tendencia alcista (precio entre el MA y la banda superior ATR).
- 🔴 **Rojo**: Tendencia bajista (precio entre la banda inferior ATR y el MA).
### 📊 Barras MACD:
- **Descripción**:
- La sección de barras MACD se activa por defecto y puede modificarse según la entrada del usuario.
- 🔴 **Rojo**: Indica una tendencia bajista, cuando la línea MACD está por debajo de la línea de señal (la línea de señal es una media móvil de la MACD).
- 🔵 **Azul**: Indica una tendencia alcista, cuando la línea MACD está por encima de la línea de señal.
- La coincidencia de colores entre las barras MACD y la nube MACD confirma visualmente la dirección de la tendencia.
### 🌥️ Nube MACD:
- **Lógica de la Nube MACD**: Basada en el indicador de convergencia-divergencia de medias móviles (MACD), que muestra la relación entre dos medias móviles del precio.
- **Líneas MACD y de Señal**: La nube visualiza la relación entre la línea MACD y la línea de señal. Si la línea MACD está por encima de la de señal, indica una tendencia alcista potencial; si está por debajo, sugiere una tendencia bajista.
### ☁️ Nube MA:
- **Relación entre Medias Móviles**: Se trazan tres medias móviles de diferentes períodos. La nube se vuelve verde cuando la media más corta está por encima de la más larga, indicando una tendencia alcista, y roja cuando está por debajo, sugiriendo una tendencia bajista.
- **Visualización de Tendencias**: Proporciona una representación gráfica de la dirección de la tendencia.
### 📉 Bandas ATR:
- Las bandas ATR calculan límites de sobrecompra y sobreventa usando una media ponderada y el ATR.
- **Centro (matr)**: Muestra la tendencia general; precios por encima indican tendencia alcista y debajo, bajista.
- **Up ATR 1**: Marca el primer nivel de sobrecompra, sugiriendo una reversión bajista potencial si el precio sube por encima de esta banda.
- **Down ATR 1**: Marca el primer nivel de sobreventa, sugiriendo una reversión alcista potencial si el precio baja por debajo de esta banda.
- **Up ATR 2**: Amplía el rango de sobrecompra a un nivel extremo, reforzando la posibilidad de reversión bajista.
- **Down ATR 2**: Extiende el rango de sobreventa a un nivel extremo, sugiriendo una reversión alcista más fuerte si el precio alcanza esta banda.
Nova Volume Indicator (NVI) by SplitzMagicNova Volume Indicator
The Nova Volume Indicator is an innovative trading tool designed to enhance your trading strategy by analysing volume momentum and market dynamics. This indicator empowers traders to make informed decisions by providing clear and actionable buy and sell signals based on real-time data.
How It Works:
The Nova Volume Indicator utilizes advanced algorithms to assess volume changes and price movements. Key features include:
Volume Momentum Calculation: By evaluating the relationship between price changes and volume, the indicator identifies significant momentum shifts, enabling traders to pinpoint entry and exit points with precision.
Trend Direction Filter: The indicator includes a price filter that determines the prevailing market trend based on a moving average. This ensures that trades align with the overall market direction, enhancing the probability of success.
Alert System: With customizable alert thresholds, users receive notifications when momentum crosses defined levels, keeping them informed of potential trading opportunities without the need for constant monitoring.
No Trade Signal: A black background on the histogram indicates that there are no valid trading opportunities at that moment. Use this feature to avoid entering trades during uncertain market conditions.
How to Use the Nova Volume Indicator for Entries:
Identifying the Trend: Before making any trades, check the indicator's trend direction. If the price is above the moving average, focus on bullish signals; if below, look for bearish signals.
Spotting Entries:
Buy Signal: Look for a green histogram bar indicating positive volume momentum. Enter a trade at the close of the candle when the momentum score exceeds your alert threshold and the price is above the moving average.
Sell Signal: A red histogram bar signals negative volume momentum. Enter a short position at the close of the candle when the momentum score falls below the alert threshold and the price is below the moving average.
Setting Stops and Targets: Place your stop-loss below the recent swing low for buy trades or above the recent swing high for sell trades. Aim for a minimum 1:2 risk-to-reward ratio to maximize your profitability.
Customizable Settings:
The Nova Volume Indicator offers several input settings to help you tailor the indicator to your unique trading style:
Signal Period: Adjust the period for calculating the signal line (EMA of momentum score). A shorter period reacts quickly, while a longer one smooths the signals.
Volatility Period: Control the lookback period for assessing market volatility. Shorter periods capture recent fluctuations, and longer periods provide a broader view of price behavior.
Price Filter MA Length: Set the period for the moving average used to filter trades based on price action, helping determine the trend direction.
Alert Threshold: Define the level at which the indicator signals potential buying or selling opportunities. Customize this setting to suit your trading preferences.
The Nova Volume Indicator is a powerful addition to any trader’s toolkit, designed to simplify decision-making and improve trading outcomes. Whether you're a beginner or a seasoned trader, this indicator offers the insights you need to navigate the markets confidently. Explore its customizable features to create a unique trading experience tailored to your needs. Start using the Nova Volume Indicator today and elevate your trading journey!
Any questions you may have or if you have anything to input to improve this then please leave a comment.
Trendfilter AD1
The "Trendfilter AD1" indicator is a versatile tool for trend detection that combines volume changes, price ranges, ATR (Average True Range), and moving averages. It also considers the momentum of True High/Low over a specified period (PROFF). The indicator integrates various mathematical calculations to measure market trends and volatility. Key features include the use of Powerbar colors, which indicate significant activity from large market participants.
Trendfilter LW
The Trendfilter LW section of the script calculates trend strength by comparing short-term and long-term simple moving averages (SMA) of closing prices, and by assessing cumulative price differences. The result is displayed as a histogram, with positive values indicating bullish trends and negative values indicating bearish trends. This helps traders visualize the strength and direction of long-term and short-term trends.
Trendfilter SP
The Trendfilter SP section combines volume changes, ATR data, and Z-score calculations to smooth out trend signals and provide a clearer assessment of market trends. It uses these data points to filter out noise and highlight significant trend changes. The combined Z-score, smoothed by an EMA, offers precise trend indications and helps traders identify whether the prevailing market forces are bullish or bearish.
What is it for?
The indicator helps traders identify trends and assess market volatility. By combining volume and price movements, it highlights potential trend reversals and shifts in market strength. The calculation of True High/Low (PROFF) measures market momentum over a set period, providing insights into price dynamics. The indicator also uses color-coded bars to represent different levels of market activity and trend strength, with Powerbar colors specifically highlighting major market moves driven by large traders.
How is it used?
Traders can customize the indicator through settings such as Volume Change Periods, EMA periods, and the True High/Low period (PROFF). The indicator generates signals based on significant volume and price fluctuations, with trends displayed through color-coded bars. The Trendfilter LW section calculates trend strength using SMA and cumulative price differences, while the Trendfilter SP section combines volume and ATR data with Z-score calculations to smooth out trend signals. These elements together provide a clear picture of market direction and strength.
EMA Ribbon + ADX MomentumHere's a description for your TradingView indicator publication:
The EMA Ribbon + ADX Momentum indicator combines exponential moving averages (EMA) with the Average Directional Index (ADX) to identify strong trends and potential trading opportunities. This powerful tool offers:
🎯 Key Features:
EMA Ribbon (10, 21, 34, 55) for trend direction
ADX integration for trend strength confirmation
Clear visual signals with color-coded backgrounds
Real-time trend status display
Strength metrics with exact percentage values
📊 How It Works:
EMA Ribbon: Four EMAs form a ribbon pattern that shows trend direction through their stacking order
ADX Integration: Confirms trend strength when above the threshold (default 25)
Visual Signals:
Green background: Strong bullish trend
Red background: Strong bearish trend
Gray background: Neutral or weak trend
📈 Trading Signals:
STRONG BULL: EMAs properly stacked bullish + high ADX + DI+ > DI-
STRONG BEAR: EMAs properly stacked bearish + high ADX + DI- > DI+
BULL/BEAR TREND: Shows regular trend conditions without strength confirmation
NEUTRAL: No clear trend structure
🔧 Customizable Parameters:
ADX Length: Adjust trend calculation period
ADX Threshold: Modify strength confirmation level
ADX Panel Toggle: Show/hide the ADX indicator panel
💡 Best Uses:
Trend following strategies
Entry/exit timing
Trade confirmation
Market structure analysis
Risk management tool
This indicator helps traders identify not just trend direction, but also trend strength, making it particularly useful for both position entry timing and risk management. The clear visual signals and real-time metrics make it suitable for traders of all experience levels.
Note: As with all technical indicators, best results are achieved when used in conjunction with other forms of analysis and proper risk management.
3CRGANG - TMASlope3CRGANG - TMASlope: Slope-Based Trend Insights with Multi-Timeframe Support
The 3CRGANG - TMASlope indicator is crafted to provide traders with precise trend insights by analyzing the slope of the TMA (Triangular Moving Average). This tool goes beyond traditional indicators, focusing on slope detection to help traders gauge momentum and trend direction across multiple timeframes.
Key Features of TMASlope
Multi-Timeframe Trend Alignment : TMASlope includes a table showing trend statuses for up to three selected timeframes. This helps traders check for trend consistency across timeframes, providing a clearer picture of overall momentum.
Color-Coded Histogram for Quick Reference : The histogram visually distinguishes between uptrends, downtrends, and ranging markets. This color-coded display offers an at-a-glance understanding of market conditions.
Adaptability to Different Markets : In markets where volume data may be missing, TMASlope is designed to adapt, ensuring that the indicator remains effective and reliable in any environment.
User-Centric Design and Customization
TMASlope is designed with simplicity and customization in mind. Traders can adjust threshold settings to match their specific trading style. The indicator also includes customizable color themes and visual alerts to support more intuitive decision-making.
Visual Alerts and Practical Use
The indicator’s trend status table provides “Buy Only,” “Sell Only,” or “Ranging” signals based on momentum. The histogram offers further visual guidance for when to consider entering, holding, or exiting trades.
Example of TMASlope in Action
In volatile or low-volume markets, TMASlope helps traders make sense of price movements by delivering stable, clear signals. The multi-timeframe trend table supports strategic alignment by confirming trends across timeframes, helping traders make informed choices in any market condition.
EMD Oscillator (Zeiierman)█ Overview
The Empirical Mode Decomposition (EMD) Oscillator is an advanced indicator designed to analyze market trends and cycles with high precision. It breaks down complex price data into simpler parts called Intrinsic Mode Functions (IMFs), allowing traders to see underlying patterns and trends that aren’t visible with traditional indicators. The result is a dynamic oscillator that provides insights into overbought and oversold conditions, as well as trend direction and strength. This indicator is suitable for all types of traders, from beginners to advanced, looking to gain deeper insights into market behavior.
█ How It Works
The core of this indicator is the Empirical Mode Decomposition (EMD) process, a method typically used in signal processing and advanced scientific fields. It works by breaking down price data into various “layers,” each representing different frequencies in the market’s movement. Imagine peeling layers off an onion: each layer (or IMF) reveals a different aspect of the price action.
⚪ Data Decomposition (Sifting): The indicator “sifts” through historical price data to detect natural oscillations within it. Each oscillation (or IMF) highlights a unique rhythm in price behavior, from rapid fluctuations to broader, slower trends.
⚪ Adaptive Signal Reconstruction: The EMD Oscillator allows traders to select specific IMFs for a custom signal reconstruction. This reconstructed signal provides a composite view of market behavior, showing both short-term cycles and long-term trends based on which IMFs are included.
⚪ Normalization: To make the oscillator easy to interpret, the reconstructed signal is scaled between -1 and 1. This normalization lets traders quickly spot overbought and oversold conditions, as well as trend direction, without worrying about the raw magnitude of price changes.
The indicator adapts to changing market conditions, making it effective for identifying real-time market cycles and potential turning points.
█ Key Calculations: The Math Behind the EMD Oscillator
The EMD Oscillator’s advanced nature lies in its high-level mathematical operations:
⚪ Intrinsic Mode Functions (IMFs)
IMFs are extracted from the data and act as the building blocks of this indicator. Each IMF is a unique oscillation within the price data, similar to how a band might be divided into treble, mid, and bass frequencies. In the EMD Oscillator:
Higher-Frequency IMFs: Represent short-term market “noise” and quick fluctuations.
Lower-Frequency IMFs: Capture broader market trends, showing more stable and long-term patterns.
⚪ Sifting Process: The Heart of EMD
The sifting process isolates each IMF by repeatedly separating and refining the data. Think of this as filtering water through finer and finer mesh sieves until only the clearest parts remain. Mathematically, it involves:
Extrema Detection: Finding all peaks and troughs (local maxima and minima) in the data.
Envelope Calculation: Smoothing these peaks and troughs into upper and lower envelopes using cubic spline interpolation (a method for creating smooth curves between data points).
Mean Removal: Calculating the average between these envelopes and subtracting it from the data to isolate one IMF. This process repeats until the IMF criteria are met, resulting in a clean oscillation without trend influences.
⚪ Spline Interpolation
The cubic spline interpolation is an advanced mathematical technique that allows smooth curves between points, which is essential for creating the upper and lower envelopes around each IMF. This interpolation solves a tridiagonal matrix (a specialized mathematical problem) to ensure that the envelopes align smoothly with the data’s natural oscillations.
To give a relatable example: imagine drawing a smooth line that passes through each peak and trough of a mountain range on a map. Spline interpolation ensures that line is as smooth and close to reality as possible. Achieving this in Pine Script is technically demanding and demonstrates a high level of mathematical coding.
⚪ Amplitude Normalization
To make the oscillator more readable, the final signal is scaled by its maximum amplitude. This amplitude normalization brings the oscillator into a range of -1 to 1, creating consistent signals regardless of price level or volatility.
█ Comparison with Other Signal Processing Methods
Unlike standard technical indicators that often rely on fixed parameters or pre-defined mathematical functions, the EMD adapts to the data itself, capturing natural cycles and irregularities in real-time. For example, if the market becomes more volatile, EMD adjusts automatically to reflect this without requiring parameter changes from the trader. In this way, it behaves more like a “smart” indicator, intuitively adapting to the market, unlike most traditional methods. EMD’s adaptive approach is akin to AI’s ability to learn from data, making it both resilient and robust in non-linear markets. This makes it a great alternative to methods that struggle in volatile environments, such as fixed-parameter oscillators or moving averages.
█ How to Use
Identify Market Cycles and Trends: Use the EMD Oscillator to spot market cycles that represent phases of buying or selling pressure. The smoothed version of the oscillator can help highlight broader trends, while the main oscillator reveals immediate cycles.
Spot Overbought and Oversold Levels: When the oscillator approaches +1 or -1, it may indicate that the market is overbought or oversold, signaling potential entry or exit points.
Confirm Divergences: If the price movement diverges from the oscillator's direction, it may indicate a potential reversal. For example, if prices make higher highs while the oscillator makes lower highs, it could be a sign of weakening trend strength.
█ Settings
Window Length (N): Defines the number of historical bars used for EMD analysis. A larger window captures more data but may slow down performance.
Number of IMFs (M): Sets how many IMFs to extract. Higher values allow for a more detailed decomposition, isolating smaller cycles within the data.
Amplitude Window (L): Controls the length of the window used for amplitude calculation, affecting the smoothness of the normalized oscillator.
Extraction Range (IMF Start and End): Allows you to select which IMFs to include in the reconstructed signal. Starting with lower IMFs captures faster cycles, while ending with higher IMFs includes slower, trend-based components.
Sifting Stopping Criterion (S-number): Sets how precisely each IMF should be refined. Higher values yield more accurate IMFs but take longer to compute.
Max Sifting Iterations (num_siftings): Limits the number of sifting iterations for each IMF extraction, balancing between performance and accuracy.
Source: The price data used for the analysis, such as close or open prices. This determines which price movements are decomposed by the indicator.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!