🎯 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.
Forecasting
BGL - Bitcoin Global Liquidity Indicator [Da_Prof]This indicator takes global liquidity and shifts it forward by a set number of days. It can be used for any asset, but it is by default set for Bitcoin (BTC). The shift forward allows potential future prediction of BTC trends, especially uptrends. While not perfect, the current shift of 72 days seems to be best for the current cycle.
Sixteen currencies are used to calculate global liquidity.
My PositionA simple tracker that allows to plan ahead your positions and brings more visibility to take profit plans and final income
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!
Deshmukh TVWAP (Multi-Timeframe)The TVWAP is an indicator that calculates the average price of an asset over a specified period, but instead of giving equal weight to each price during the period, it gives more weight to the later time periods within the trading session. It is essentially the running average of the price as time progresses.
Time-Weighted Calculation: Each data point (close price) gets a weight based on how much time has passed since the start of the session. The more time that has passed, the more "weight" is given to that price point.
Session-Based Calculation: The TVWAP resets at the start of each trading session (9:15 AM IST) and stops calculating after the session ends (3:30 PM IST). This ensures that the indicator only reflects intraday price movements during the active market hours.
Working of the Indicator in Pine Script
Session Timing:
The session runs from 9:15 AM to 3:30 PM IST, which is the standard market session for the Indian stock market. The script tracks whether the current time is within this session.
At the start of the session, the script resets the calculations.
Time-Weighted Average Price Calculation:
Each time a new price data (close price) comes in, the script adds the closing price to a cumulative sum (cumulativePriceSum).
It also counts how many time intervals (bars) have passed since the session started using cumulativeCount.
The TVWAP value is updated in real-time by dividing the cumulative price sum by the number of bars that have passed (cumulativePriceSum / cumulativeCount).
Buy and Sell Signals:
The TVWAP can act as a dynamic support/resistance level:
Buy Signal: When the price is below the TVWAP line, the script plots a green "Buy" signal below the bar.
Sell Signal: When the price is above the TVWAP line, the script plots a red "Sell" signal above the bar.
The logic behind this is simple: if the price is below TVWAP, it might be undervalued, and if it's above, it could be overvalued, making it a good time to sell.
Plotting TVWAP:
The TVWAP line is plotted in blue on the chart to provide a visual representation of the time-weighted average price throughout the session.
It updates with each price tick, helping traders identify trends or reversals during the day.
Key Components and How They Work
Session Timing (sessionStartTime and sessionEndTime):
These are used to check if the current time is within the trading session. The TVWAP only calculates the average during active market hours (9:15 AM to 3:30 PM IST).
Cumulative Calculation:
The variable cumulativePriceSum accumulates the sum of closing prices during the session.
The variable cumulativeCount counts the number of time periods that have elapsed (bars, or ticks in the case of minute charts).
TVWAP Calculation:
The TVWAP is calculated by dividing the cumulative sum of the closing prices by the cumulative count. This gives a time-weighted average for the price.
Plotting and Signals:
The TVWAP value is plotted as a blue line.
Buy Signals (green) are generated when the price is below the TVWAP line.
Sell Signals (red) are generated when the price is above the TVWAP line.
Use Cases of TVWAP
Intraday Trading: TVWAP is particularly useful for intraday traders because it adjusts in real-time based on the average price movements throughout the session.
Scalping: For scalpers, TVWAP acts as a dynamic reference point for entering or exiting trades. It helps in identifying short-term overbought or oversold conditions.
Trend Confirmation: A rising TVWAP suggests a bullish trend, while a falling TVWAP suggests a bearish trend. Traders can use it to confirm the direction of the trend before taking trades.
Support/Resistance: The TVWAP can also act as a dynamic level of support or resistance. Prices below TVWAP are often considered to be in a support zone, while prices above are considered resistance.
Advantages of TVWAP
Time-Weighted: Unlike traditional moving averages (SMA or EMA), TVWAP focuses on time rather than price or volume, which gives more relevance to later price points in the session.
Adaptability: It can be used across various timeframes, such as 3 minutes, 5 minutes, 15 minutes, etc., making it versatile for both scalping and intraday strategies.
Actionable Signals: With clear buy/sell signals, TVWAP simplifies decision-making for traders and helps reduce noise.
Limitations of TVWAP
Intraday Only: TVWAP is a day-specific indicator, so it resets each session. It cannot be used across multiple sessions (like VWAP).
Doesn't Account for Volume: Unlike VWAP, which accounts for volume, TVWAP only considers time. This means it may not always be as reliable in extremely low or high-volume conditions.
Conclusion
The TVWAP indicator provides a time-weighted view of price action, which is especially useful for traders looking for a more time-sensitive benchmark to track price movements during the trading day. By working across all timeframes and providing actionable buy and sell signals, it offers a dynamic tool for scalping, intraday trading, and trend analysis. The ability to visualize price relative to TVWAP can significantly enhance decision-making, especially in fast-moving markets.
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.
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.
Renko Live Brick Tracker -AYNETHow It Works
Renko Box Initialization:
The Renko box starts at the current price (close).
It dynamically updates based on the box_size input.
Dynamic Boundaries:
The box expands upward or downward as the price moves outside the current Renko brick boundaries.
Box Drawing:
The line.new function is used to draw the four sides of the Renko box.
The previous box lines are deleted on every bar to avoid clutter.
Live Price Tracking:
The live price is plotted as a red line within the Renko box.
Inputs
box_size: Defines the size of the Renko box in price units.
box_color: Controls the fill color of the box.
border_color: Controls the color of the box borders.
Visualization
Dynamic Renko Box:
A box tracks the price’s progress inside the current Renko brick.
Updates dynamically as the price moves.
Live Price Marker:
A red line tracks the current price inside the Renko brick.
Let me know if you’d like any enhancements, such as adding labels or alerts! 😊
HLC Open with Halfback StrategyStep 1: Understand the Indicator
Key Levels:
Pivot (PIV): The central point for support/resistance.
High (PDH) and Low (PDL): Previous day’s high and low levels.
Mid: The halfway point between PDH and PDL.
TC (Top Central): The upper range of CPR (Central Pivot Range).
Resistance/Support Levels:
R1, R2, R3: Resistance levels above the Pivot.
S1, S2, S3: Support levels below the Pivot.
CPR Width:
Indicates market volatility:
Very Narrow CPR: Expect a breakout.
Wide CPR: Range-bound trading is likely.
Step 2: Set Up for Intraday Trading
Timeframes:
Use the 5-minute or 15-minute chart for entries.
Reference the daily CPR levels for key breakout or reversal zones.
ATR and CPR Width:
Use the displayed CPR width and ATR to assess profit targets and stop losses.
Step 3: Identify Buy/Sell Opportunities
Buy Setup:
Conditions:
Price breaks above the previous day's high (PDH).
Retest of the PDH with a bullish candle or at the Pivot (PIV).
CPR width suggests breakout potential (narrow range).
Entry:
Enter on the candle that confirms the breakout or retest.
Target:
Target R1 or R2 levels for profit.
Use ATR to define your risk (e.g., stop loss below Pivot or PDL).
Sell Setup:
Conditions:
Price breaks below the previous day's low (PDL).
Retest of the PDL with a bearish candle or at the Pivot (PIV).
CPR width suggests breakout potential (narrow range).
Entry:
Enter on the candle that confirms the breakdown or retest.
Target:
Target S1 or S2 levels for profit.
Use ATR to define your risk (e.g., stop loss above Pivot or PDH).
Step 4: Position Sizing
Capital Allocation:
Assume a $1,500 profit per trade to achieve $3,000 in two trades.
If your account is $50,000, risk 2% per trade ($1,000 per trade).
Lot Size:
Calculate lot size based on ATR and your stop loss distance.
Step 5: Execution Strategy
Confirm Key Levels:
Monitor how price reacts to PIV, PDH, PDL, and CPR.
Follow Trend:
Align with the dominant trend. Avoid counter-trend trades unless at extreme levels (R3, S3).
Set Alerts:
Use alerts for price approaching key levels.
Example Plan for $3K Goal:
Buy Scenario:
Price breaks PDH with a narrow CPR.
Enter long at the retest of PDH at $10,000.
Target R1 at $10,500 for a $500 move, scaling up to achieve $1,500 with leverage or larger position size.
Sell Scenario:
Price breaks PDL with a narrow CPR.
Enter short at the retest of PDL at $10,000.
Target S1 at $9,500 for a $500 move, scaling similarly.
Tips for Success
Focus on Quality: Look for clean setups at key levels.
Manage Risk: Use a stop loss based on ATR and adjust position size to stay within your risk tolerance.
Be Patient: Wait for retests or confirmation before entering trades.
Stick to Your Plan: Stop trading after achieving two winning trades to avoid overtrading.
By following these steps, you can effectively use the indicator for intraday trades while targeting consistent profits.
Crypto Futures Trading with TargetsBusca usar o RSI, nuvem de ichimoko, médias móveis, juntamente com o volume, para operar futuros na Binance, já com alvos de entrada e saída.
[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! 😊
Comprehensive Time Chain Indicator - AYNETFeatures and Enhancements
Dynamic Timeframe Handling:
The script monitors new intervals of a user-defined timeframe (e.g., daily, weekly, monthly).
Flexible interval selection allows skipping intermediate time periods (e.g., every 2 days).
Custom Marker Placement:
Markers can be placed at:
High, Low, or Close prices of the bar.
A custom offset above or below the close price.
Special Highlights:
Automatically detects the start of a week (Monday) and the start of a month.
Highlights these periods with a different marker color.
Connecting Lines:
Markers are connected with lines to visually link the events.
Line properties (color, width) are fully customizable.
Dynamic Labels:
Optional labels display the timestamp of the event, formatted as per user preferences (e.g., yyyy-MM-dd HH:mm).
How It Works:
Timeframe Event Detection:
The is_new_interval flag identifies when a new interval begins in the selected timeframe.
Special flags (is_new_week, is_new_month) detect key calendar periods.
Dynamic Marker Drawing:
Markers are drawn using label.new at the specified price levels.
Colors dynamically adjust based on the type of event (interval vs. special highlight).
Connecting Lines:
The script dynamically connects markers with line.new, creating a time chain.
Previous lines are updated for styling consistency.
Customization Options:
Timeframe (main_timeframe):
Adjust the timeframe for detecting new intervals, such as daily, weekly, or hourly.
Interval (interval):
Skip intermediate events (e.g., draw a marker every 2 days).
Visualization:
Enable or disable markers and labels independently.
Customize colors, line width, and marker positions.
Special Periods:
Highlight the start of a week or month with distinct markers.
Applications:
Event Tracking:
Highlight and connect key time intervals for easier analysis of patterns or trends.
Custom Time Chains:
Visualize periodic data, such as specific trading hours or cycles.
Market Session Analysis:
Highlight market opens, closes, or other critical time-based events.
Usage Instructions:
Copy and paste the code into the Pine Script editor on TradingView.
Adjust the input settings for your desired timeframe, visualization preferences, and special highlights.
Apply the script to a chart to see the time chain visualized.
This implementation provides robust functionality while remaining easy to customize. Let me know if further enhancements are required! 😊
TrendSeer: The Magic Buy and Sell Signals IndicatorIndicator: Buy and Sell Signals Based on Range Filter
This indicator generates Buy and Sell signals based on a dynamic range filter that evaluates price action. It helps traders identify potential entry points by considering whether the price is trending upward or downward.
Key Features:
Buy Signal: A green Buy label is displayed below the price bar when the price is above the range filter and shows signs of upward momentum.
Sell Signal: A red Sell label is shown above the price bar when the price is below the range filter and shows signs of downward momentum.
How It Works:
The indicator calculates a range filter using an exponentially smoothed average of price changes over a defined period.
The upward momentum is tracked when the price is higher than the previous value and the range filter shows an increase.
Conversely, downward momentum is tracked when the price is lower than the previous value and the range filter shows a decrease.
Alerts:
Alerts can be set to trigger when the indicator signals a Buy or Sell, allowing for timely trading decisions.
Settings:
Sampling Period: Adjust the period for calculating the smoothed average range.
Range Multiplier: Adjusts the sensitivity of the range filter.
This tool helps traders spot potential Buy and Sell opportunities in the market based on price action trends.
-=----=-----
Indicador: Sinais de Compra e Venda Baseados no Filtro de Faixa
Este indicador gera sinais de Compra e Venda com base em um filtro de faixa dinâmico que avalia a ação do preço. Ele ajuda os traders a identificar pontos potenciais de entrada, considerando se o preço está em tendência de alta ou baixa.
Principais Características:
Sinal de Compra: Um rótulo verde de Compra é exibido abaixo da barra de preço quando o preço está acima do filtro de faixa e apresenta sinais de momento de alta.
Sinal de Venda: Um rótulo vermelho de Venda é mostrado acima da barra de preço quando o preço está abaixo do filtro de faixa e apresenta sinais de momento de baixa.
Como Funciona:
O indicador calcula um filtro de faixa usando uma média exponencial suavizada das mudanças de preço ao longo de um período definido.
O momento de alta é rastreado quando o preço é superior ao valor anterior e o filtro de faixa mostra um aumento.
Inversamente, o momento de baixa é rastreado quando o preço é inferior ao valor anterior e o filtro de faixa mostra uma diminuição.
Alertas:
Os alertas podem ser configurados para disparar quando o indicador sinalizar uma Compra ou Venda, permitindo decisões de negociação oportunas.
Configurações:
Período de Amostragem: Ajusta o período para calcular a média suavizada da faixa.
Multiplicador de Faixa: Ajusta a sensibilidade do filtro de faixa.
Esta ferramenta ajuda os traders a identificar potenciais oportunidades de Compra e Venda no mercado com base nas tendências da ação do preço.
SMA TrialThis script plots a 20-period Simple Moving Average (SMA) on the chart. The SMA is a basic yet powerful tool for identifying trends and smoothing out price data over time. Ideal for both beginners and experienced traders to observe market momentum.
Previous Day High & LowPre-Market : Previous Day High & Low
This indicator is used to mark out the previous Days High & Low.
My Position %One more position tracker, but this time is more focused to the scalping:
1. Calculates prices for stop loss and take profits
2. Displays income and loss, including complex commission calculations
3. Includes commission into calculations (to compare profitability of different exchanges and see how it affects current profit)
4. Loss and Profit ratio table to help you optimize your strategy
Please, double check the calculations. You are using this calculator on your own risk.
LTF Fisher Transform - AYNETJohn F. Ehlers is a renowned figure in the field of financial markets and technical analysis. With a strong background in engineering and digital signal processing (DSP), Ehlers has applied his expertise to the development of innovative technical indicators and trading systems. His work focuses on using mathematical concepts, particularly those from signal processing, to analyze financial data. THANKS.
Detailed Explanation of Code: "LTF Fisher Transform"
This code calculates the Fisher Transform on a lower timeframe (LTF) and visualizes it on the current timeframe. It includes bands to identify overbought/oversold conditions, fills the area between these bands for visualization, and generates momentum signals (bullish or bearish) based on the Fisher Transform's position relative to the bands.
Key Features of the Code
Fisher Transform Calculation on a Lower Timeframe
Applies Fisher Transform on a user-specified lower timeframe.
Captures short-term momentum shifts.
Overbought and Oversold Levels
Defines custom thresholds for momentum analysis using user-defined bands.
Visual Enhancements
Visualizes momentum zones (neutral, bullish, bearish) using filled areas and dynamic shapes.
Momentum Signal Generation
Identifies bullish and bearish momentum conditions when Fisher Transform exceeds bands.
Balthazar by Aloupay📈 BALTHAZAR BY ALOUPAY: Advanced Trading Strategy for Precision and Reliability
BALTHAZAR BY ALOUPAY is a comprehensive trading strategy developed for TradingView, designed to assist traders in making informed and strategic trading decisions. By integrating multiple technical indicators, this strategy aims to identify optimal entry and exit points, manage risk effectively, and enhance overall trading performance.
🌟 Key Features
1. Integrated Indicator Suite
Exponential Moving Averages (EMAs) : Utilizes Fast (12), Medium (26), and Slow (50) EMAs to determine trend direction and strength.
Stochastic RSI : Employs Stochastic RSI with customizable smoothing periods to assess momentum and potential reversal points.
Average True Range (ATR) : Calculates dynamic stop loss and take profit levels based on market volatility using ATR multipliers.
MACD Confirmation : Incorporates MACD histogram analysis to validate trade signals, enhancing the reliability of entries.
2. Customizable Backtesting Parameters
Date Range Selection: Allows users to define specific backtesting periods to evaluate strategy performance under various market conditions.
Timezone Adaptability: Ensures accurate time-based filtering in alignment with the chart's timezone settings.
3. Advanced Risk Management
Dynamic Stop Loss & Take Profit: Automatically adjusts exit points using ATR multipliers to adapt to changing market volatility.
Position Sizing: Configurable to risk a sustainable percentage of equity per trade (recommended: 5-10%) to maintain disciplined money management.
4. Clear Trade Signals
Long & Short Entries: Generates actionable signals based on the convergence of EMA alignment, Stochastic RSI crossovers, and MACD confirmation.
Automated Exits: Implements predefined take profit and stop loss levels to secure profits and limit losses without emotional interference.
5. Visual Enhancements
EMA Visualization: Displays Fast, Medium, and Slow EMAs on the chart for easy trend identification.
Stochastic RSI Indicators: Uses distinct shapes to indicate bullish and bearish momentum shifts.
Risk Levels Display: Clearly marks take profit and stop loss levels on the chart for transparent risk-reward assessment.
🔍 Strategy Mechanics
Trend Identification with EMAs
Bullish Trend: Fast EMA (12) > Medium EMA (26) > Slow EMA (50)
Bearish Trend: Fast EMA (12) < Medium EMA (26) < Slow EMA (50)
Momentum Confirmation with Stochastic RSI
Bullish Signal: %K line crosses above %D line, indicating upward momentum.
Bearish Signal: %K line crosses below %D line, signaling downward momentum.
Volatility-Based Risk Management with ATR
Stop Loss: Positioned at 1.0 ATR below (for long) or above (for short) the entry price.
Take Profit: Positioned at 4.0 ATR above (for long) or below (for short) the entry price.
MACD Confirmation
Long Trades: Executed only when the MACD histogram is positive.
Short Trades: Executed only when the MACD histogram is negative.
💱 Recommended Forex Pairs
While BALTHAZAR BY ALOUPAY has shown robust performance on the 4-hour timeframe for Gold (XAU/USD), it is also well-suited for the following highly liquid forex pairs:
EUR/USD (Euro/US Dollar)
GBP/USD (British Pound/US Dollar)
USD/JPY (US Dollar/Japanese Yen)
AUD/USD (Australian Dollar/US Dollar)
USD/CAD (US Dollar/Canadian Dollar)
NZD/USD (New Zealand Dollar/US Dollar)
EUR/GBP (Euro/British Pound)
These pairs offer high liquidity and favorable trading conditions that complement the strategy's indicators and risk management features.
⚙️ Customization Options
Backtesting Parameters
Start Date: Define the beginning of the backtesting period.
End Date: Define the end of the backtesting period.
EMAs Configuration
Fast EMA Length: Default is 12.
Medium EMA Length: Default is 26.
Slow EMA Length: Default is 50.
Source: Default is Close price.
Stochastic RSI Configuration
%K Smoothing: Default is 5.
%D Smoothing: Default is 4.
RSI Length: Default is 14.
Stochastic Length: Default is 14.
RSI Source: Default is Close price.
ATR Configuration
ATR Length: Default is 14.
ATR Smoothing Method: Options include RMA, SMA, EMA, WMA (default: RMA).
Stop Loss Multiplier: Default is 1.0 ATR.
Take Profit Multiplier: Default is 4.0 ATR.
MACD Configuration
MACD Fast Length: Default is 12.
MACD Slow Length: Default is 26.
MACD Signal Length: Default is 9.
📊 Why Choose BALTHAZAR BY ALOUPAY?
Comprehensive Integration: Combines trend, momentum, and volatility indicators for a multifaceted trading approach.
Automated Precision: Eliminates emotional decision-making with rule-based entry and exit signals.
Robust Risk Management: Protects capital through dynamic stop loss and take profit levels tailored to market conditions.
User-Friendly Customization: Easily adjustable settings to align with individual trading styles and risk tolerance.
Proven Reliability: Backtested over extensive periods across various market environments to ensure consistent performance.
Disclaimer : Trading involves significant risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always conduct your own research and consider your financial situation before engaging in trading activities.
TimeFlow Momentum IndicatorThe “TimeFlow Momentum Indicator” is a thoughtfully crafted tool that integrates multiple analytical components to deliver a unique perspective on market momentum. It is not a mere combination of existing indicators, but rather a purposeful integration where each element plays a specific role, enhancing the overall functionality and reliability of the script. The primary aim is to provide traders with a more comprehensive and accurate analysis by leveraging time-based divergence, volume validation, and trend filtering.
1. Time-Based Momentum Divergence: The Core Innovation
• The heart of the indicator is the Time Divergence Line, which introduces a unique approach to analyzing momentum by focusing on the time spent in uptrends versus downtrends. Unlike traditional momentum indicators that rely purely on price movements (e.g., RSI, MACD), the Time Divergence Line captures the duration of market trends, offering a different perspective on momentum shifts.
• This method counts consecutive bars where the price closes higher (uptrend) or lower (downtrend) and calculates the difference between these counts. By measuring the time spent in different trend directions, the indicator can detect early signs of trend exhaustion or potential reversals, which are often missed by price-based indicators.
2. EMA Smoothing: Enhancing Signal Clarity
• The raw time divergence data is smoothed using an Exponential Moving Average (EMA) to filter out noise and provide a clearer, more reliable signal. The EMA helps to capture the underlying trend in the divergence data, making it easier for traders to identify meaningful shifts in momentum without being misled by short-term price fluctuations.
• This smoothing technique is crucial because it reduces false signals, ensuring that the divergence line reflects the true momentum of the market.
3. Overlay Plotting for Better Visualization
• The smoothed Time Divergence Line is directly plotted on the main price chart, offering traders a visual overlay that correlates directly with price action. This design choice enhances the usability of the indicator by allowing traders to see the divergence line’s relationship with the price in real-time, making it easier to spot potential buy and sell signals.
• By overlaying the divergence line on the main chart, the indicator provides a visual representation of momentum divergence, which is more intuitive and actionable compared to separate oscillators.
4. Trend Confirmation Using VWAP and EMA
• To increase the reliability of signals, the indicator incorporates a trend filter using both VWAP (Volume Weighted Average Price) and EMA (50-period). This filter ensures that signals are generated only when they align with the prevailing market trend:
• The VWAP is used to gauge the average price considering the volume, acting as a dynamic support/resistance level. It helps to confirm whether the market sentiment is bullish or bearish.
• The EMA (50-period) acts as a trend-following indicator, smoothing out price action and providing a clear signal of the overall trend direction.
• This dual-filter approach helps to eliminate false signals that may occur during choppy or sideways market conditions, ensuring that the generated signals are more aligned with the broader market trend.
5. Volume Correlation for Signal Validation
• The indicator integrates a volume filter to confirm the validity of momentum signals. It checks whether the current volume exceeds a threshold based on the average volume, ensuring that signals are only generated when there is strong market participation.
• This volume correlation check is vital because it validates price movements by confirming that they are backed by significant trading activity, reducing the likelihood of false signals in low-volume conditions.
6. Cooldown Mechanism: Controlling Signal Frequency
• To prevent excessive signals, especially during volatile or sideways market conditions, the indicator implements a cooldown period. This feature enforces a minimum number of bars between consecutive signals, reducing noise and preventing traders from being overwhelmed by frequent alerts.
• The cooldown mechanism enhances the signal quality, ensuring that each buy or sell signal is meaningful and not just a result of short-term fluctuations.
How the Components Work Together
The TimeFlow Momentum Indicator is a cohesive tool where each component plays a specific and complementary role:
1. Time Divergence Line identifies shifts in market momentum by analyzing the duration of trends.
2. EMA Smoothing refines the divergence data, providing a clearer signal by filtering out noise.
3. Trend Filter (VWAP + EMA) ensures that signals are generated in alignment with the prevailing market trend, reducing the risk of false signals.
4. Volume Filter validates signals based on trading activity, confirming that price movements are backed by strong volume.
5. Cooldown Mechanism controls the frequency of signals, preventing overtrading and reducing noise.
Conclusion
The “TimeFlow Momentum Indicator” is an innovative tool that offers a new way of analyzing market momentum by focusing on time-based divergence. It combines this original approach with trend and volume filters to create a reliable, user-friendly indicator that can help traders identify high-probability entry and exit points. This is not a simple mashup of existing indicators but a well-designed integration where each component enhances the overall functionality, providing traders with a unique edge in market analysis.
Star of David Drawing-AYNETExplanation of Code
Settings:
centerTime defines the center time for the star pattern, defaulting to January 1, 2023.
centerPrice is the center Y-axis level for positioning the star.
size controls the overall size of the star.
starColor and lineWidth allow customization of the color and thickness of the lines.
Utility Function:
toRadians converts degrees to radians, though it’s not directly used here, it might be useful for future adjustments to angles.
Star of David Drawing Function:
The drawStarOfDavid function calculates the position of each point on the star relative to the center coordinates (centerTime, centerY) and size.
The pattern has six key points that form two overlapping triangles, creating the Star of David pattern.
The time offsets (offset1 and offset2) determine the horizontal spread of the star, scaling according to size.
The line.new function is used to draw the star lines with the calculated coordinates, casting timestamps to int to comply with line.new requirements.
Star Rendering:
Finally, drawStarOfDavid is called to render the Star of David pattern on the chart based on the input parameters.
This code draws the Star of David on a chart at a specified time and price level, with customizable size, color, and line width. Adjust centerTime, centerPrice, and size as needed for different star placements on the chart.
Straddle Charts - Live
Description :
This indicator is designed to display live prices for both call and put options of a straddle strategy, helping traders visualize the real-time performance of their options positions. The indicator allows users to select the symbols for specific call and put options and fetches their prices on a 1-minute timeframe, ensuring updated information.
Key Features :
Live Call and Put Option Prices: View individual prices for both call and put options of the straddle, plotted separately.
Straddle Price Calculation: The total price of the straddle (sum of call and put) is displayed, allowing for easy monitoring of the straddle’s combined movement.
Customizable Inputs: Easily change the call and put option symbols directly from the settings.
Use this indicator to stay on top of your straddle's value and make informed trading decisions based on real-time data.
Holt-Winters Forecast BandsDescription:
The Holt-Winters Adaptive Bands indicator combines seasonal trend forecasting with adaptive volatility bands. It uses the Holt-Winters triple exponential smoothing model to project future price trends, while Nadaraya-Watson smoothed bands highlight dynamic support and resistance zones.
This indicator is ideal for traders seeking to predict future price movements and visualize potential market turning points. By focusing on broader seasonal and trend data, it provides insight into both short- and long-term market directions. It’s particularly effective for swing trading and medium-to-long-term trend analysis on timeframes like daily and 4-hour charts, although it can be adjusted for other timeframes.
Key Features:
Holt-Winters Forecast Line: The core of this indicator is the Holt-Winters model, which uses three components — level, trend, and seasonality — to project future prices. This model is widely used for time-series forecasting, and in this script, it provides a dynamic forecast line that predicts where price might move based on historical patterns.
Adaptive Volatility Bands: The shaded areas around the forecast line are based on Nadaraya-Watson smoothing of historical price data. These bands provide a visual representation of potential support and resistance levels, adapting to recent volatility in the market. The bands' fill colors (red for upper and green for lower) allow traders to identify potential reversal zones without cluttering the chart.
Dynamic Confidence Levels: The indicator adapts its forecast based on market volatility, using inputs such as average true range (ATR) and price deviations. This means that in high-volatility conditions, the bands may widen to account for increased price movements, helping traders gauge the current market environment.
How to Use:
Forecasting: Use the forecast line to gain insight into potential future price direction. This line provides a directional bias, helping traders anticipate whether the price may continue along a trend or reverse.
Support and Resistance Zones: The shaded bands act as dynamic support and resistance zones. When price enters the upper (red) band, it may be in an overbought area, while the lower (green) band may indicate oversold conditions. These bands adjust with volatility, so they reflect the current market conditions rather than fixed levels.
Timeframe Recommendations:
This indicator performs best on daily and 4-hour charts due to its reliance on trend and seasonality. It can be used on lower timeframes, but accuracy may vary due to increased price noise.
For traders looking to capture swing trades, the daily and 4-hour timeframes provide a balance of trend stability and signal reliability.
Adjustable Settings:
Alpha, Beta, and Gamma: These settings control the level, trend, and seasonality components of the forecast. Alpha is generally the most sensitive setting for adjusting responsiveness to recent price movements, while Beta and Gamma help fine-tune the trend and seasonal adjustments.
Band Smoothing and Deviation: These settings control the lookback period and width of the volatility bands, allowing users to customize how closely the bands follow price action.
Parameters:
Prediction Length: Sets the length of the forecast, determining how far into the future the prediction line extends.
Season Length: Defines the seasonality cycle. A setting of 14 is typical for bi-weekly cycles, but this can be adjusted based on observed market cycles.
Alpha, Beta, Gamma: These parameters adjust the Holt-Winters model's sensitivity to recent prices, trends, and seasonal patterns.
Band Smoothing: Determines the smoothing applied to the bands, making them either more reactive or smoother.
Ideal Use Cases:
Swing Trading and Trend Following: The Holt-Winters model is particularly suited for capturing larger market trends. Use the forecast line to determine trend direction and the bands to gauge support/resistance levels for potential entries or exits.
Identifying Reversal Zones: The adaptive bands act as dynamic overbought and oversold zones, giving traders potential reversal areas when price reaches these levels.
Important Notes:
No Buy/Sell Signals: This indicator does not produce direct buy or sell signals. It’s intended for visual trend analysis and support/resistance identification, leaving trade decisions to the user.
Not for High-Frequency Trading: Due to the nature of the Holt-Winters model, this indicator is optimized for higher timeframes like the daily and 4-hour charts. It may not be suitable for high-frequency or scalping strategies on very short timeframes.
Adjust for Volatility: If using the indicator on lower timeframes or more volatile assets, consider adjusting the band smoothing and prediction length settings for better responsiveness.
