🎯 Pro Trading Suite Elite v7🎯 Pro Trading Suite Elite v7: Gelişmiş EMA Trend ve Tahmin Sistemi
📌 Forex, Kripto ve Hisse Piyasaları için Kapsamlı Trading Çözümü
Pro Trading Suite Elite v7, EMA çapraz stratejisi (9/21) temel alınarak geliştirilmiş, otomatik trend tespiti, dinamik stop loss ve ileri fiyat tahmini gibi özelliklerle donatılmış gelişmiş bir trading sistemidir. Forex, kripto ve hisse piyasalarında başarıyla kullanılabilir.
✨ Temel Özellikler
• ✅ EMA Çapraz Stratejisi (9/21): En doğru alım-satım noktalarını belirler.
• 🔍 Otomatik Trend Tespiti: Trend yönünü otomatik analiz eder.
• ⚙️ Dinamik Stop Loss: Risk yönetiminde profesyonellik sağlar.
• 📈 Fibonacci Bazlı Hedef Hesaplaması: Otomatik TP1 ve TP2 seviyeleri belirler.
• 🤖 İleri Fiyat Tahmin Sistemi: Gelişmiş algoritmalarla fiyat projeksiyonu yapar.
• 📊 Görsel Alım/Satım Sinyalleri: Kullanıcı dostu alım/satım göstergeleri sunar.
• 🛠️ Detaylı İşlem Bilgi Kutuları: İşlem detaylarına kolay erişim sağlar.
🛠️ Teknik Özellikler
• 📌 Çift EMA Sistemi (9/21)
• 📊 ATR Bazlı Stop Loss
• 🌀 Fibonacci Hedefleri (1.618 & 2.618)
• 📐 50 Periyot Lineer Regresyon
• 📊 Bollinger Bant Analizi
• 🔄 Trailing Stop Sistemi
📊 Önerilen Kullanım
⏰ Zaman Dilimleri
• ✅ En İyi Performans: 15M, 1H, 4H, 1D
• ⚠️ Dikkat Gereken: 1M, 5M
• ❌ Önerilmez: 1S
🌐 Hangi Piyasalarda Kullanılabilir?
• ✅ Forex: Tüm majör pariteler
• ✅ Kripto: BTC, ETH ve majör altcoinler
• ✅ Hisse Senetleri: Yüksek likiditeye sahip hisseler
• ✅ Emtia: Altın, gümüş ve petrol gibi değerli emtialar
💡 Kullanım Stratejileri
📈 Trend Takip Stratejisi
1. 🔍 EMA kesişim sinyallerini bekleyin.
2. 📊 Trend yönünü belirleyin.
3. ⚙️ ATR bazlı stop loss kullanın.
4. 💰 TP1’de kısmi kar alın.
5. 🔄 TP2’ye kadar trailing stop ile işlemi takip edin.
💎 Swing Trading Stratejisi
1. 📅 4H veya 1D grafiklerde analiz yapın.
2. 🔍 Güçlü trend bölgelerini belirleyin.
3. 🤖 Fiyat tahmin göstergesini kullanın.
4. ⚙️ Geniş stop loss seviyeleri belirleyin.
5. 💰 Hedeflere kademeli çıkış yapın.
⚠️ Risk Yönetimi
🚨 Temel Kurallar
• 💡 İşlem başına maksimum %1-2 risk alın.
• ✅ Stop loss kullanımı zorunludur.
• 📊 Kademeli kar alım stratejisi uygulayın.
• 🔄 Trailing stop ile pozisyonu yönetin.
• 🛡️ Break-even seviyesini belirleyin.
📌 Sinyal Kalitesini Arttırma
• ✅ Trend yönünde işlem yapın.
• 📊 Momentumun güçlü olduğu yerlerde işlem yapın.
• 📈 Destek ve direnç seviyelerini takip edin.
• ⚙️ Spread oranlarını düşük tutun.
• 🚨 Önemli haber saatlerinde dikkatli olun.
🎓 Yeni Başlayanlar için Rehber
Adım Adım Kullanım
1. 🖥️ Demo hesap ile minimum 1 ay test edin.
2. 📈 Küçük lotlarla gerçek işlemlere başlayın.
3. 📝 İşlem günlüğü tutarak sonuçları analiz edin.
4. 📊 Sonuçları haftalık olarak değerlendirin.
5. 🛡️ Risk yönetimini öğrenin ve uygulayın.
🔄 Güncellemeler
v7.0 (2024):
• 🎨 Görsel iyileştirmeler
• 📈 Performans optimizasyonu
• 🤖 Gelişmiş sinyal sistemi
• 🔍 İleri tahmin algoritması
• 🌐 Türkçe dil desteği
📈 Performans İpuçları
✅ En İyi Çalıştığı Koşullar
• 📊 Trend piyasaları
• 💡 Normal volatilite seviyeleri
• 📈 Yüksek likidite
• 🔍 Teknik seviyeler
⚠️ Dikkat Edilmesi Gereken Durumlar
• 📉 Yatay piyasalar
• 🚨 Aşırı volatilite
• ⚙️ Düşük likidite
• 🕒 Haber bazlı hareketler
⚖️ Yasal Uyarı
📌 Bu indikatör yatırım tavsiyesi değildir. Tüm alım-satım kararları kullanıcının sorumluluğundadır. Geçmiş performans, gelecekteki sonuçlar için bir garanti değildir.
📞 Destek
Pro Trading Suite Elite v7 hakkında sorularınız varsa yorum bırakabilir veya bizimle iletişime geçebilirsiniz.
Bands and Channels
Radius Trend with Buy/Sell SignalsInspo from chartprime.
Same code, just added some buy and sell signals.
Green = Buy
Red = Sell
Enjoy :)
Color-Coded Trading States매수 상태: buyCondition이 충족되면 차트 배경을 연한 녹색으로 표시합니다.
매도 상태: sellCondition이 충족되면 차트 배경을 연한 빨간색으로 표시합니다.
보유 상태: 매수 조건이 충족된 이후 매도 신호가 나오기 전까지의 상태를 파란색으로 표시합니다.
bgcolor() 함수는 조건에 따라 차트의 배경색을 설정하여 시각적으로 상태를 강조합니다.^^
Dynamic Staircase - AYNETExplanation
Step Logic:
Each step is created dynamically when the price exceeds the current step's level by the specified step_size.
Steps go up or down, depending on the price movement.
Dynamic Levels:
The script tracks the last_step_price to determine when a new step is required.
Visualization:
Steps are drawn using line.new, and their colors change based on the direction (green for up, red for down).
A simple stickman is placed at the latest step to represent movement dynamically.
Inputs
Step Size: Controls the price difference required to create a new step.
Colors: Customize the colors for up steps, down steps, and the stickman.
What You’ll See
A staircase-like chart that moves dynamically with the price.
Each new step appears when the price moves up or down by the specified step size.
A stickman drawn at the latest step to simulate movement.
Further Customizations
Step Direction Labels:
Add labels like "Up" or "Down" at each step.
Advanced Stickman Animation:
Modify the stickman design to show motion or additional shapes.
Historical Steps:
Store and display all past steps as part of the staircase visualization.
Let me know if you'd like to extend this further or add trading-specific functionality! 😊
Math Art with Fibonacci, Trigonometry, and Constants-AYNETScientific Explanation of the Code
This Pine Script code is a dynamic visual representation that combines mathematical constants, trigonometric functions, and Fibonacci sequences to generate geometrical patterns on a TradingView chart. The code leverages Pine Script’s drawing functions (line.new) and real-time bar data to create evolving shapes. Below is a detailed scientific explanation of its components:
1. Inputs and User-Defined Parameters
num_points: Specifies the number of points used to generate the geometrical pattern. Higher values result in more complex and smoother shapes.
scale: A scaling factor to adjust the size of the shape.
rotation: A dynamic rotation factor that evolves the shape over time based on the bar index (bar_index).
shape_color: Defines the color of the drawn shapes.
2. Mathematical Constants
The script employs essential mathematical constants:
Phi (ϕ): Known as the golden ratio
(
1
+
5
)
/
2
(1+
5
)/2, which governs proportions in Fibonacci spirals and natural growth patterns.
Pi (π): Represents the ratio of a circle's circumference to its diameter, crucial for trigonometric calculations.
Euler’s Number (e): The base of natural logarithms, incorporated in exponential growth modeling.
3. Geometric and Trigonometric Calculations
Fibonacci-Based Radius: The radius for each point is determined using a Fibonacci-inspired formula:
𝑟
=
scale
×
𝜙
⋅
𝑖
num_points
r=scale×
num_points
ϕ⋅i
Here,
𝑖
i is the point index. This ensures the shape grows proportionally based on the golden ratio.
Angle Calculation: The angular position of each point is calculated as:
𝜃
=
𝑖
⋅
Δ
𝜃
+
rotation
⋅
bar_index
100
θ=i⋅Δθ+rotation⋅
100
bar_index
where
Δ
𝜃
=
2
𝜋
num_points
Δθ=
num_points
2π
. This generates evenly spaced points along a circle, with dynamic rotation.
Coordinates: Cartesian coordinates
(
𝑥
,
𝑦
)
(x,y) for each point are derived using:
𝑥
=
𝑟
⋅
cos
(
𝜃
)
,
𝑦
=
𝑟
⋅
sin
(
𝜃
)
x=r⋅cos(θ),y=r⋅sin(θ)
These coordinates describe a polar-to-Cartesian transformation.
4. Dynamic Line Drawing
Connecting Points: For each pair of consecutive points, a line is drawn using:
line.new
(
𝑥
1
,
𝑦
1
,
𝑥
2
,
𝑦
2
)
line.new(x
1
,y
1
,x
2
,y
2
)
The coordinates are adjusted by:
bar_index: Aligns the x-axis to the chart’s time-based bar index.
int() Conversion: Ensures x-coordinates are integers, as required by line.new.
Line Properties:
Color: Set by the user.
Width: Fixed at 1 for simplicity.
5. Real-Time Adaptation
The shapes evolve dynamically as new bars form:
Rotation Over Time: The rotation parameter modifies angles proportionally to bar_index, creating a rotating effect.
Bar Index Alignment: Shapes are positioned relative to the current bar on the chart, ensuring synchronization with market data.
6. Visualization and Applications
This script generates evolving geometrical shapes, which have both aesthetic and educational value. Potential applications include:
Mathematical Visualization: Demonstrating the interplay of Fibonacci sequences, trigonometry, and geometry.
Technical Analysis: Serving as a visual overlay for price movement patterns, highlighting cyclical or wave-like behavior.
Dynamic Art: Creating visually appealing and evolving patterns on financial charts.
Scientific Relevance
This code synthesizes principles from:
Mathematical Analysis: Incorporates constants and formulas central to calculus, trigonometry, and algebra.
Geometry: Visualizes patterns derived from polar coordinates and Fibonacci scaling.
Real-Time Systems: Adapts dynamically to market data, showcasing practical applications of mathematics in financial visualization.
If further optimization or additional functionality is required, let me know! 😊
Multi-Symbol Scanner: Advanced EMA-RSI-Volume Strategy# Multi-Symbol Tech Stock Scanner: Advanced EMA-RSI-Volume Strategy
## Technical Analysis Methodology
This scanner implements a sophisticated multi-timeframe analysis approach combining three key technical elements:
### 1. Dual EMA System (Primary Trend Detection)
- **Long-term EMA (820 periods)**: Acts as the primary trend identifier
- Chosen specifically for tech stocks' longer-term price waves
- Helps filter out minor market noise while capturing major trend changes
- 820 periods approximately represents 3.2 years of trading days
- **Medium-term EMA (320 periods)**: Serves as trend confirmation
- Approximately 1.25 years of trading data
- Provides earlier entry signals while maintaining trend reliability
- Helps identify potential trend reversals before the major trend shift
### 2. Volume Analysis Component
The script employs a dynamic volume analysis system:
- Calculates 20-period moving average of volume as baseline
- Requires 1.5x surge above baseline for signal confirmation
- Volume surge requirement helps filter out weak moves and potential false breakouts
- Different from standard volume indicators as it uses adaptive thresholds
### 3. RSI Momentum Filter
Implements a specialized RSI configuration:
- 14-period RSI with dynamic overbought/oversold levels
- Oversold threshold: 30 (customizable)
- Overbought threshold: 70 (customizable)
- Used as a confirmation tool rather than primary signal generator
## Signal Generation Logic
### Buy Signal Requirements
1. Price must cross above 820 EMA (PRIMARY CONDITION)
2. Current price must be above 320 EMA (CONFIRMATION)
3. RSI must be above 30 but below 70 (MOMENTUM CHECK)
4. Volume must be 1.5x above 20-period average (STRENGTH VALIDATION)
### Sell Signal Requirements
1. Price must cross below 820 EMA (PRIMARY CONDITION)
2. Current price must be below 320 EMA (CONFIRMATION)
3. RSI must be above 30 but below 70 (MOMENTUM CHECK)
4. Volume must be 1.5x above 20-period average (STRENGTH VALIDATION)
## Risk Management Integration
The script automatically calculates key risk levels based on volatility:
1. **Stop Loss Calculation**:
- Default: 2% below entry for buys
- Dynamically adjusted based on price point
- Can be modified through input parameters
2. **Take Profit Targets**:
- Primary target: 6% above entry (3:1 reward-risk ratio)
- Based on historical tech stock movement patterns
- Adjustable through input parameters
## Multi-Symbol Implementation
The scanner monitors 6 symbols simultaneously using:
- Separate security calls for each data point
- Optimized data requests to prevent overload
- Individual signal processing for each symbol
- Synchronized alert generation system
## Technical Implementation Details
1. **Data Processing**:
```
- Security data requests on 10-minute timeframe
- Individual EMA calculations per symbol
- Separate volume analysis threads
- RSI calculations with standard deviation normalization
```
2. **Signal Processing**:
```
- Cross-verification of all conditions
- Time-based signal validation
- Volume surge confirmation
- Trend alignment check
```
3. **Alert System**:
```
- Bar-close confirmation required
- Multi-condition validation
- Detailed price level inclusion
- Risk parameter integration
```
## Optimization Features
1. **Memory Usage**:
- Optimized security calls
- Efficient data structure
- Reduced redundant calculations
2. **Processing Efficiency**:
- Single-pass data analysis
- Combined indicator calculations
- Streamlined alert generation
## Practical Application
The system is designed for:
1. Swing Trading (primary use)
2. Position Trading (secondary use)
3. Technical Breakout Trading
Optimal timeframes:
- Primary: 4H charts
- Secondary: Daily charts
- Verification: 1H charts
## Default Configuration
The scanner is preset to monitor key tech stocks:
- TSLA: High-volatility tech leader
- NVDA: Semiconductor sector benchmark
- AVGO: Stable tech infrastructure
- TSM: Global chip manufacturer
- META: Social media sector leader
- AMZN: E-commerce/Cloud computing leader
Each symbol can be modified through input parameters.
## Version Information
- Current Version: 1.3
- Last Updated: November 2024
- Compatibility: TradingView Pro/Pro+/Premium
## Limitations & Considerations
- Limited to 6 symbols due to TradingView security request limits
- Requires consistent market volume for optimal performance
- Best suited for liquid stocks with significant daily volume
- May need parameter adjustments during extreme market conditions
Dynamic Support and Resistance -AYNETExplanation of the Code
Lookback Period:
The lookback input defines how many candles to consider when calculating the support (lowest low) and resistance (highest high).
Support and Resistance Calculation:
ta.highest(high, lookback) identifies the highest high over the last lookback candles.
ta.lowest(low, lookback) identifies the lowest low over the same period.
Dynamic Lines:
The line.new function creates yellow horizontal lines at the calculated support and resistance levels, extending them to the right.
Optional Plot:
plot is used to display the support and resistance levels as lines for visual clarity.
Customization:
You can adjust the lookback period and toggle the visibility of the lines via inputs.
How to Use This Code
Open the Pine Script Editor in TradingView.
Paste the above code into the editor.
Adjust the "Lookback Period for High/Low" to customize how the levels are calculated.
Enable or disable the support and resistance lines as needed.
This will create a chart similar to the one you provided, with horizontal yellow lines dynamically indicating the support and resistance levels. Let me know if you'd like any additional features or customizations!
LMFWith this indicator you can follow the averages of other time frames in the current time frame.
There are 3 different views: table, level and line.
Renko Live Price Simulation-AYNETHow It Works:
Inputs:
Box Size (box_size): The size of a Renko brick (in price units).
Candle and Wick Colors: Users can customize colors for up and down candles and toggle wicks on or off.
Logic:
The script tracks the renko_open, renko_close, renko_high, and renko_low variables to simulate the formation of Renko bricks.
A new Renko brick is formed when the price moves up or down by the specified box size.
Candle Plotting:
The plotcandle function is used to draw the simulated Renko bricks on the chart.
Wicks are optional and controlled via the show_wicks input.
Visual Guides:
Two lines represent the thresholds for forming the next up or down Renko brick.
Features:
Real-Time Updates:
Bricks dynamically update as the live price moves.
Customizable Parameters:
Box size, candle colors, and wicks can be tailored to user preferences.
Overlay on Regular Chart:
The Renko simulation overlays the existing candlestick chart, providing context for real-time price action.
Threshold Levels:
Visual guides show how far the current price is from forming the next Renko brick.
Usage Instructions:
Copy and paste the script into the Pine Script editor in TradingView.
Customize the box size and colors to your preference.
Apply the indicator to your chart to visualize the Renko simulation in real time.
Applications:
Trend Analysis:
Renko bricks simplify price trends by filtering out minor fluctuations.
Entry/Exit Points:
Use Renko bricks as potential trade triggers when new bricks form.
Volatility Visualization:
The frequency of brick formation reflects the asset's volatility.
This code provides a live Renko simulation overlay that can be further customized based on user needs. Let me know if you'd like additional features, such as alerts or enhanced visualizations! 😊
EMA, Supertrend, Donchian, RSI, and Volume- Dr Vinay 4 EMAs, Supertrend, Donchian, RSI, and Volume- This indcator will help you to generate information about 4 exponential moving average, and confirms your trend by super tred and donchian channel, the potentail for trend can also be reviewed using RSI and volume is also given in this indicator
Galagtic Radar Grid - AYNETFeatures:
Concentric Circles:
Drawn using points (•) placed around a center.
The number of circles and their spacing are customizable.
Radial Lines:
Straight lines radiate outward from the center.
You can customize the number of lines (e.g., 12 for 30° intervals).
Highlight Marker:
An orange marker is placed at a specific angle (customizable) on the outermost circle.
Key Customization Inputs:
Circle Count: Number of concentric circles.
Circle Spacing: Distance between circles.
Line Count: Number of radial lines.
Highlight Angle: Position of the orange marker in degrees.
Colors: Customize grid and marker colors.
Core Logic:
Circles and radial lines are calculated using trigonometric functions (math.cos and math.sin).
The x-coordinates are tied to bar_index (integer), ensuring compatibility with TradingView's requirements.
This script is ideal for creating a visual radar-like grid on TradingView charts. Let me know if you'd like further enhancements! 😊
Eagle-Inspired - AYNETOverview of the Code:
Parameters for Customization:
Wing Span: Horizontal distance (in bars) of the wings.
Wing Height: Vertical height (in price units) of the wings.
Body Height: Vertical size of the central "body" rectangle.
Colors: Separate colors for wings and the body.
Center Point:
The center of the logo is dynamically tied to the current bar (bar_index) and price (close).
Design Components:
Wings: Two angled lines for the left and right wings.
Body: A rectangular shape approximated using four lines.
Dynamic Adjustments:
The size and proportions of the wings and body can be adjusted via user inputs.
Key Features:
Visual Elements: Creates a logo-like shape directly on the chart.
Customizable: Adjust the size, position, and colors of the wings and body.
Dynamic: Updates its position based on the latest bar and price.
This script provides a minimalist symbolic eagle design and can be used to visually overlay the chart with basic graphical elements. Let me know if you need further adjustments! 😊
Multi-LTF ATR Trailing Stop - AYNETSimple Explanation of the Code
This Pine Script code implements a multi-timeframe ATR-based trailing stop indicator. It calculates and plots the trailing stop lines for up to six configurable timeframes. Users can enable or disable specific timeframes, and each trailing stop line is color-coded and labeled with the corresponding timeframe (e.g., "15m", "1H").
Key Features of the Code
Multi-Timeframe Support:
The script calculates trailing stops for six different timeframes, such as 15 minutes, 1 hour, 1 day, etc.
User Configurations:
The user can:
Select timeframes for each trailing stop (e.g., "15m", "1H").
Enable or disable each timeframe using checkboxes.
Adjust the ATR period and multiplier to customize the trailing stop calculation.
Color-Coded Lines:
Each timeframe's trailing stop is plotted with a unique color for easy distinction.
Labels for Timeframes:
Labels at the end of the lines indicate the timeframe of each trailing stop (e.g., "15m", "1H").
Summary
This code is a multi-timeframe ATR trailing stop tool that helps traders visualize and analyze trailing stops across multiple timeframes. It is customizable, dynamic, and visually intuitive, making it ideal for both trend-following and stop-loss management.
Fibonacci Eagle - AYNETSummary
Circle Drawing:
The x position for the head circle is adjusted to be compatible with label.new by rounding offsets and keeping head_center_x tied to bar_index.
Wings and Body:
No changes to wings or body, as these were already correct.
Compatibility:
Fully compatible with Pine Script's requirements for label.new (x as an integer and y as a float).
Let me know if this resolves your issue or if you need further adjustments! 😊
Wick Trend Analysis with Supertrend and RSI -AYNETScientific Explanation
1. Wick Trend Analysis
Upper and Lower Wicks:
Calculated based on the difference between the high or low price and the candlestick body (open and close).
The trend of these wick lengths is derived using the Simple Moving Average (SMA) over the defined trend_length period.
Trend Direction:
Positive change (ta.change > 0) indicates an increasing trend.
Negative change (ta.change < 0) indicates a decreasing trend.
2. Supertrend Indicator
ATR Bands:
The Supertrend uses the Average True Range (ATR) to calculate dynamic upper and lower bands:
upper_band
=
hl2
+
(
supertrend_atr_multiplier
×
ATR
)
upper_band=hl2+(supertrend_atr_multiplier×ATR)
lower_band
=
hl2
−
(
supertrend_atr_multiplier
×
ATR
)
lower_band=hl2−(supertrend_atr_multiplier×ATR)
Trend Detection:
If the price is above the upper band, the Supertrend moves to the lower band.
If the price is below the lower band, the Supertrend moves to the upper band.
The Supertrend helps identify the prevailing market trend.
3. RSI (Relative Strength Index)
The RSI measures the momentum of price changes and ranges between 0 and 100:
Overbought Zone (Above 70): Indicates that the price may be overextended and due for a pullback.
Oversold Zone (Below 30): Indicates that the price may be undervalued and due for a reversal.
Visualization Features
Wick Trend Lines:
Upper wick trend (green) and lower wick trend (red) show the relative strength of price rejection on both sides.
Wick Trend Area:
The area between the upper and lower wick trends is filled dynamically:
Green: Upper wick trend is stronger.
Red: Lower wick trend is stronger.
Supertrend Line:
Displays the Supertrend as a blue line to highlight the market's directional bias.
RSI:
Plots the RSI line, with horizontal dotted lines marking the overbought (70) and oversold (30) levels.
Applications
Trend Confirmation:
Use the Supertrend and wick trends together to confirm the market's directional bias.
For example, a rising lower wick trend with a bullish Supertrend suggests strong bullish sentiment.
Momentum Analysis:
Combine the RSI with wick trends to assess the strength of price movements.
For example, if the RSI is oversold and the lower wick trend is increasing, it may signal a potential reversal.
Signal Generation:
Generate entry signals when all three indicators align:
Bullish Signal:
Lower wick trend increasing.
Supertrend bullish.
RSI rising from oversold.
Bearish Signal:
Upper wick trend increasing.
Supertrend bearish.
RSI falling from overbought.
Future Improvements
Alert System:
Add alerts for alignment of Supertrend, RSI, and wick trends:
pinescript
Kodu kopyala
alertcondition(upper_trend_direction == 1 and supertrend < close and rsi > 50, title="Bullish Signal", message="Bullish alignment detected.")
alertcondition(lower_trend_direction == 1 and supertrend > close and rsi < 50, title="Bearish Signal", message="Bearish alignment detected.")
Custom Thresholds:
Add thresholds for wick lengths and RSI levels to filter weak signals.
Multiple Timeframes:
Incorporate multi-timeframe analysis for more robust signal generation.
Conclusion
This script combines wick trends, Supertrend, and RSI to create a comprehensive framework for analyzing market sentiment and detecting potential trading opportunities. By visualizing trends, market bias, and momentum, traders can make more informed decisions and reduce reliance on single-indicator strategies.
ROZANANS_SBC_MONEY_v2bu komut dosyasında fiyat tahminleri yapmnaya çalışan bir sistem çalışıldı bunun için fibonacci atr ccı rsı macd her birinin özelliklerindne yararlanıldı. eğitim amaçlı hazırlanmıştır. yatırım amacı ile kullanılamaz.
GP - SRSI ChannelThis indicator is designed to predict at what point the price-time charts will rise or fall. It is inspired by the RSI and Stochastic RSI formulas. The formula simply calculates the RSI and Stochastic RSI values of the opening, high, low and closing values. It performs this calculation by creating a series from the data in the 3-hour, 6-hour, 12-hour and 1-day time frames that come as standard with the indicator. The maximum and minimum values in the series are taken for the candles included in the calculation. These values create a colored channel between two values on the chart. If the line labeled "Max" from these values is in the "Green area" region, it indicates that the price will start to decrease. If the line labeled "Min" from these values is in the "Red area" region, it indicates that the price will start to increase. Although these calculations are not definite; seeing that the channel has reached the green area at the top means that the price will start to fall in that area, and seeing that the channel has reached the red area at the bottom means that the probability of the price to start to increase in that area increases. This indicator should not be used alone to determine the direction of the price. When this indicator comes as standard, use it on a 3-hour chart. To use it on all price-time charts, enter the 4 different times in the settings section, each of which will be twice the time.
Example-1 = Time1: 15 minutes, Time2: 30 minutes, Time3: 1 hour, Time4: 2 hours on a 15-minute chart.
Example-2 = Time1: 30 minutes, Time2: 1 hour, Time3: 2 hours, Time4: 4 hours on a 30-minute chart.
Examples can be multiplied in this way.
[AWC] Vector -AYNETThis Pine Script code is a custom indicator designed for TradingView. Its purpose is to visualize the opening and closing prices of a specific timeframe (e.g., weekly, daily, or monthly) by drawing lines between these price points whenever a new bar forms in the specified timeframe. Below is a detailed explanation from a scientific perspective:
1. Input Parameters
The code includes user-defined inputs to customize its functionality:
tf1: This input defines the timeframe (e.g., 'W' for weekly, 'D' for daily). It determines the periodicity for analyzing price data.
icol: This input specifies the color of the lines drawn on the chart. Users can select from predefined options such as black, red, or blue.
2. Color Assignment
A switch statement maps the user’s color selection (icol) to the corresponding color object in Pine Script. This mapping ensures that the drawn lines adhere to the user's preference.
3. New Bar Detection
The script uses the ta.change(time(tf1)) function to determine when a new bar forms in the specified timeframe (tf1):
ta.change checks if the timestamp of the current bar differs from the previous one within the selected timeframe.
If the value changes, it indicates that a new bar has formed, and further calculations are triggered.
4. Data Request
The script employs request.security to fetch price data from the specified timeframe:
o1: Retrieves the opening price of the previous bar.
c1: Calculates the average price (high, low, close) of the previous bar using the hlc3 formula.
These values represent the key price levels for visualizing the line.
5. Line Drawing
When a new bar is detected:
The script uses line.new to create a line connecting the previous bar's opening price (o1) and the closing price (c1).
The line’s properties are defined as follows:
x1, y1: The starting point corresponds to the opening price at the previous bar index.
x2, y2: The endpoint corresponds to the closing price at the current bar index.
color: Uses the user-defined color (col).
style: The line style is set to line.style_arrow_right.
Additionally, the lines are stored in an array (lines) for later reference, enabling potential modifications or deletions.
6. Visual Outcome
The script visually represents price movements over the specified timeframe:
Each line connects the opening and closing price of a completed bar in the given timeframe.
The lines are drawn dynamically, updating whenever a new bar forms.
Scientific Context
This script applies concepts of time series analysis and visualization in financial data:
Time Segmentation: By isolating specific timeframes (e.g., weekly), the script provides a focused analysis of price behavior.
Price Dynamics: Connecting opening and closing prices highlights key price transitions within each period.
User Customization: The inclusion of inputs allows for adaptable use, accommodating different analytical preferences.
Applications
Trend Analysis: Identifies how price evolves between opening and closing levels across periods.
Market Behavior Comparison: Facilitates the observation of patterns or anomalies in price transitions over time.
Technical Indicators: Serves as a supplementary tool for decision-making in trading strategies.
If further enhancements or customizations are needed, let me know! 😊
Fibonacci Levels Strategy with High/Low - AYNETHigher Timeframe Candles:
Fetches open, high, low, and close from a user-defined higher timeframe using request.security.
Uses plotcandle to draw the higher timeframe candles over the chart.
Fibonacci Levels:
Dynamically calculates Fibonacci levels (0.0 to 1.0) based on the high and low of the higher timeframe candle.
Visualization:
Higher timeframe candles are color-coded:
Green: If the close is higher than the open.
Red: If the close is lower than the open.
Fibonacci levels are plotted as horizontal lines.
Trading Logic:
Example conditions:
Long Entry: When the price crosses above the 50% and 78.6% levels.
Short Entry: When the price crosses below the 50% and 23.6% levels.
Use Cases
Multi-Timeframe Analysis:
Combine lower timeframe price action with higher timeframe trends.
Fibonacci-Based Trading:
Identify key retracement levels for entries and exits.
This script allows for effective visualization of Fibonacci levels and candlestick patterns, enhancing your ability to make informed trading decisions. Let me know if you’d like additional customizations! 😊
Wick Trend Analysis - AYNETScientific Explanation
1. Wick Trend Lines
Upper Wick Trend Line: The upper_wick_trend is calculated as the Simple Moving Average (SMA) of the upper wick lengths over the user-defined period (trend_length).
pinescript
Kodu kopyala
float upper_wick_trend = ta.sma(upper_wick_length, trend_length)
Lower Wick Trend Line: The lower_wick_trend is similarly calculated for the lower wick lengths.
pinescript
Kodu kopyala
float lower_wick_trend = ta.sma(lower_wick_length, trend_length)
2. Filling Between Lines
fill Function: The fill function colors the area between two plotted lines (plot_upper and plot_lower) based on a defined condition.
pinescript
Kodu kopyala
fill(plot_upper, plot_lower, color=fill_color, title="Wick Trend Area")
Condition for Coloring: The color is determined based on whether the upper wick trend is greater or less than the lower wick trend:
Green Fill: Indicates that the upper wick trend is dominant (i.e., upper_wick_trend > lower_wick_trend).
Red Fill: Indicates that the lower wick trend is dominant (i.e., upper_wick_trend <= lower_wick_trend).
Visualization Features
Trend Lines:
Upper wick trend is plotted as a green line.
Lower wick trend is plotted as a red line.
Filled Area:
The area between the two trend lines is filled:
Green when the upper wick trend is dominant.
Red when the lower wick trend is dominant.
Dynamic Adjustments:
The user can adjust the trend_length to change the sensitivity of the SMA calculations.
Applications
Sentiment Analysis:
Green Fill (Upper Trend Dominance): Indicates stronger rejection at higher prices, suggesting bearish sentiment.
Red Fill (Lower Trend Dominance): Indicates stronger rejection at lower prices, suggesting bullish sentiment.
Signal Generation:
Transitions in the fill color (from green to red or vice versa) can serve as potential trade signals.
Volatility Assessment:
Wider gaps between the trend lines indicate higher market volatility, while narrower gaps suggest lower volatility.
Enhancements
1. Trend Strength Filtering
Add thresholds to filter out minor trends or insignificant wick activity:
pinescript
Kodu kopyala
bool significant_upper_wick = upper_wick_length > 10 // Minimum length for upper wick
bool significant_lower_wick = lower_wick_length > 10
2. Alerts for Trend Changes
Trigger alerts when the dominance of the trend changes:
pinescript
Kodu kopyala
alertcondition(upper_wick_trend > lower_wick_trend, title="Upper Wick Dominance", message="Upper wick trend is now dominant.")
alertcondition(lower_wick_trend > upper_wick_trend, title="Lower Wick Dominance", message="Lower wick trend is now dominant.")
3. Combined Wick Analysis
Incorporate total wick activity (upper + lower wicks) for holistic analysis:
pinescript
Kodu kopyala
float total_wick_trend = ta.sma(upper_wick_length + lower_wick_length, trend_length)
Conclusion
This script provides a robust visualization of wick trends with dynamic color filling to indicate trend dominance. By observing the relative strength of upper and lower wick trends, traders can assess market sentiment, detect potential reversals, and gauge volatility. This method can be further enhanced with additional filters, alerts, and composite indicators to refine trading strategies.
daniel//@version=5
strategy("Estrategia ADX con Stop Loss y Objetivo", overlay=true)
// Configuración de parámetros
adxLength = input.int(14, title="Periodo ADX")
adxThreshold = input.int(25, title="Umbral ADX")
stopLossPerc = input.float(1, title="Stop Loss (%)", step=0.1) / 100
takeProfitPerc = input.float(3, title="Take Profit (%)", step=0.1) / 100 // Cambiado a 3%
// Cálculo de TR (True Range) manualmente
highLow = high - low
highClosePrev = math.abs(high - close )
lowClosePrev = math.abs(low - close )
tr = math.max(highLow, math.max(highClosePrev, lowClosePrev))
atr = ta.sma(tr, adxLength)
// Cálculo de +DM y -DM
plusDM = (high - high > low - low) ? math.max(high - high , 0) : 0
minusDM = (low - low > high - high ) ? math.max(low - low, 0) : 0
// Suavizado de +DM y -DM
smoothedPlusDM = ta.sma(plusDM, adxLength)
smoothedMinusDM = ta.sma(minusDM, adxLength)
// Cálculo de +DI y -DI
plusDI = (smoothedPlusDM / atr) * 100
minusDI = (smoothedMinusDM / atr) * 100
// Cálculo del DX y ADX
dx = math.abs(plusDI - minusDI) / (plusDI + minusDI) * 100
adx = ta.sma(dx, adxLength)
// Condiciones de entrada
longCondition = ta.crossover(plusDI, minusDI) and adx > adxThreshold
shortCondition = ta.crossover(minusDI, plusDI) and adx > adxThreshold
// Ejecución de operaciones
if (longCondition)
strategy.entry("Compra", strategy.long)
if (shortCondition)
strategy.entry("Venta", strategy.short)
// Stop Loss y Take Profit
strategy.exit("Cerrar Compra", from_entry="Compra", loss=stopLossPerc, profit=takeProfitPerc)
strategy.exit("Cerrar Venta", from_entry="Venta", loss=stopLossPerc, profit=takeProfitPerc)
