Donchian Trend Ribbon (LonesomeTheBlue) / Owl of Profit remakeDonchian Trend Ribbon Strategy (by LonesomeTheBlue)
Special thanks to LonesomeTheBlue for the original concept and inspiration for this strategy.
This strategy leverages the Donchian Channel to determine both the main market trend and local trends. The result is a visually appealing trend ribbon, providing clear entry and exit signals based on trend alignment.
Features
Donchian Channel:
A classic indicator that tracks the highest high and lowest low over a specified period.
Main Trend: Determines the overall market direction based on price relative to the Donchian Channel.
Local Trend: Identifies smaller, shorter-term trends within the main trend.
Trend Ribbon Visualization:
Green shades for uptrends, red shades for downtrends.
Lighter colors indicate local trends opposing the main trend, while darker colors show alignment.
Entry and Exit Logic
Long Entry:
When the main trend indicates an uptrend.
Short Entry:
When the main trend indicates a downtrend.
Exit Logic:
Positions are closed when the trend reverses (i.e., a switch from an uptrend to a downtrend or vice versa).
Visualization
Trend Ribbon:
Multiple columns stacked to form a ribbon, with varying shades based on local and main trend alignment.
Customization
Donchian Channel Period:
Default: 20 bars.
Adjustable to fit different market conditions and timeframes.
This strategy is perfect for traders looking for a trend-following approach with clear visual cues for market direction and entry/exit signals.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
趨勢分析
Fear OscillatorThis Pine Script v6 component calculates and plots a "Fear Oscillator" based on the presence of bearish candlestick patterns (Shooting Star, Hanging Man, and Bearish Engulfing) over a user-defined lookback period.
How It Works:
User Inputs: length - The lookback period for calculating the oscillator, shootingStarThreshold - The threshold for identifying Shooting Star patterns, hangingManThreshold - The threshold for identifying Hanging Man patterns, engulfingThreshold - The threshold for identifying Bearish Engulfing patterns.
Pattern Detection: The script defines functions to detect Shooting Star, Hanging Man, and Bearish Engulfing patterns based on wick and body size ratios. Each pattern is checked for the given thresholds.
Score Calculation: The script calculates scores for each bearish pattern over the lookback period. These scores are normalized by dividing by the total number of candles in the period.
Fear Oscillator: The oscillator is calculated as the average of the normalized scores for the three patterns.
Plotting: The Fear Oscillator is plotted on the chart, with reference lines for "Low Fear" and "High Fear" levels.
This indicator is designed to provide a visual representation of market fear, making it a valuable tool for traders to assess bearish sentiment and identify potential reversal points or areas of heightened market risk. It is best used in conjunction with other technical analysis tools to confirm signals.
RSI LabelThis is my first indicator. Its normal RSI, but little beat of tweak. It is is in label form displayed at right below the bar.
Weekly Pivot, S&RThis indicator is for calculating pivot point and 2 support and resistance levels arround that pivot point.
HTF CandlestickHTF Candlestick
This indicator that visualizes a specific candle from a user-defined timeframe (1D, 1H, etc.) and its associated properties on the chart. Below is a detailed explanation:
1 - Inputs and Initialization:
timeframeInput: Allows the user to select the desired timeframe (e.g., daily).
pos: Adjusts the horizontal position of the drawn candle on the chart.
2 - Custom Data Type (type bar):
The bar type stores data for the open, high, low, and close (OHLC) values, as well as the start time of the candle.
It also includes graphical elements like body, wick, and start lines.
3 - Logic:
A variable b is initialized to represent the custom candle.
The script checks for changes in the selected timeframe and creates a new bar when the timeframe changes.
4 - Methods:
update(): Updates the OHLC values of the bar if a new high or low occurs.
display(): Draws the candle on the chart, including:
The candle body.
The wick (shadow).
Labels showing the open, high, and low values.
Horizontal and vertical dotted lines for visual aid.
5 - Candle Redrawing:
The script clears all graphical elements (lines, labels, boxes) for the current candle on the last bar of the chart (barstate.islast) and redraws them using the display() method.
6 - Table Display:
A small table is displayed at the right-hand side of the chart showing:
The selected timeframe.
The opening value of the candle.
The difference between the close and open prices, highlighted with the appropriate color.
Kod Açıklaması
Bu Pine Script, kullanıcı tarafından seçilen bir zaman dilimine (1D, 1H vb.) ait bir mum çubuğunu ve onun özelliklerini grafik üzerinde görselleştiren özel bir indikatördür. İşte detaylı açıklaması:
1- Girdiler ve Başlangıç:
timeframeInput: Kullanıcının istediği zaman dilimini seçmesine olanak tanır (ör. günlük).
pos: Çizilen mumun grafikte yatay pozisyonunu ayarlamak için kullanılır.
2 - Özel Veri Tipi (type bar):
bar türü, açılış, yüksek, düşük ve kapanış (OHLC) değerlerini ve mumun başlangıç zamanını saklar.
Ayrıca, grafik öğeleri için body, wick ve start gibi alanlar içerir.
3- Mantık:
b değişkeni, seçilen mum çubuğunu temsil etmek için tanımlanmıştır.
Seçilen zaman diliminde bir değişiklik olup olmadığını kontrol eder ve değişiklik olduğunda yeni bir bar oluşturur.
4 - Metotlar:
update(): Daha yüksek bir zirve veya daha düşük bir dip meydana gelirse, mumun OHLC değerlerini günceller.
display(): Grafik üzerinde mum çubuğunu çizer. Bu işlem şunları içerir:
Mum gövdesi.
Fitil (gölge).
Açılış, yüksek ve düşük değerlerini gösteren etiketler.
Görsel yardım için yatay ve dikey kesik çizgiler.
5- Mum Yeniden Çizimi:
Grafik üzerindeki tüm grafiksel elemanları (çizgiler, etiketler, kutular) temizler ve mevcut mumun son çubuğunda (barstate.islast) bunları yeniden çizer.
6 - Tablo Görüntüsü:
Grafik üzerinde sağ tarafta küçük bir tablo gösterilir. Bu tabloda:
Seçilen zaman dilimi.
Mumun açılış değeri.
Kapanış ve açılış fiyatları arasındaki fark, uygun renkte vurgulanarak gösterilir.
Bu kod, kullanıcıya belirli bir zaman dilimindeki mum çubuğunun görsel bir analizini ve temel bilgilerini sağlar.
Volatility Compression OscillatorThis Pine Script v6 component is designed to identify periods of volatility compression, which often precede significant market moves.
Here's how it works:
Bollinger Bands Width (BBW): The script calculates the width of the Bollinger Bands across multiple timeframes (5m, 15m, 1h, daily) to detect periods of tightening.
Average True Range (ATR): The ATR is calculated for the same timeframes to identify declining volatility.
Compression Score: A numerical score is generated by averaging the BBW values and dividing by the sum of ATR values across the timeframes. This score indicates the level of volatility compression.
Alerts: Alerts are triggered when the compression score falls below a specified threshold, indicating a potential breakout or breakdown.
Visualization: The compression score is plotted on the chart, and periods of extreme compression are highlighted with a background color. If enabled, volume data is also plotted to confirm compression phases.
To use this component, add it to your TradingView chart. Adjust the input parameters to suit your analysis needs and monitor the compression score and alerts for potential trading opportunities.
Pivot Points Signals by Manish Sharma FinanceXShows Key Levels:
Pivot Point (Yellow)
Resistance levels R1, R2 (Green)
Support levels S1, S2 (Red)
Simple Signals:
Buy arrow when price crosses above R1
Sell arrow when price crosses below S1
Clean Interface:
Clear visual markers for trades
No complicated settings
Just support/resistance levels and entry signals
Whale Activity Impact OscillatorThe "Whale Activity Impact Oscillator" is a Pine Script v6 component designed to identify abnormal price movements caused by potential whale activity in the crypto market.
Here's how it works:
Inputs: The script allows users to configure the volume spike multiplier, price spike multiplier, lookback period, minimum volume threshold, and thresholds for strong buy and sell signals.
Data Calculations: It calculates the average volume and average percentage price change over the specified lookback period.
Whale Detection Logic: The script detects a volume spike if the current volume exceeds the average volume by the specified multiplier. It detects a price spike if the percentage price change exceeds the average by the specified multiplier.
Signals: A buy signal is generated when both a volume spike and a price increase are detected. A sell signal is generated when both a volume spike and a price decrease are detected.
Output: The oscillator is displayed as a histogram below the price chart. Green bars indicate buy signals, red bars indicate sell signals, and gray bars indicate normal activity. The height of the bars is proportional to the magnitude of the price change.
Alerts: The script includes alerts for whale buying and selling detected signals.
Edge Cases: The script avoids false signals in low-liquidity environments by setting a minimum volume threshold and filtering out signals during low market activity.
This component can be added to a TradingView chart to help traders identify potential whale activity and make informed trading decisions.
Sweaty Palms 9/21 EMAThe "Sweaty Palms 9/21 EMA" script is designed to help traders identify short-term and medium-term momentum trends using two Exponential Moving Averages (EMAs). The 9-period EMA is ideal for tracking immediate price movements, while the 21-period EMA provides a broader view of the trend. Together, they offer valuable insights into potential entry and exit points for trades.
This script allows users to customize the lengths of both EMAs to fit their trading style. By default, the 9 EMA is displayed in green, and the 21 EMA in yellow, making it easy to distinguish between the two. Users also have the option to toggle the visibility of each EMA, providing flexibility to focus on specific trends.
Dynamic labels are included to enhance usability by displaying the EMA lengths near the most recent bar on the chart. These labels update automatically, ensuring that users always have clear and relevant information at a glance. The bold, color-coded lines further enhance the visual appeal, making the chart easy to interpret even during fast-moving markets.
This script is a valuable tool for both swing and intraday traders. By monitoring crossovers between the 9 EMA and 21 EMA, traders can identify potential trend reversals or confirmations. Additionally, pullbacks to the 9 EMA can signal possible entry points, while the 21 EMA can act as a reliable trailing stop or trend filter. Overall, this script provides a clean, efficient way to analyze price momentum and make informed trading decisions.
XAUUSD Stretegy - proyect1. *Indicators Used*:
- Trying to implement fixed profile volume.
2. *Entry Conditions*:
- An entry signal is defined, it need effective conditions.
- Trades are only allowed between 09:00 and 12:00
- Only long positions.
- Only 1 trade per day.
3. *Position Sizing*:
- Can custom risk
4. *Exit Conditions*:
- When TP or SL.
- When is 15:00 close all trades.
### *Summary*
This project focuses on leveraging gold's bullish market to achieve controlled profits with customizable risk. It combines technical tools and disciplined risk management to optimize efficiency. Currently in development, the strategy aims to refine its performance and adaptability, offering a structured approach for trading gold’s upward trends.
borsacı selim Al-Sat Noktalarıpinescript
//@version=5
indicator("Al-Sat Noktaları", overlay=true)
// Zaman dilimi seçimi
timeframe = input.timeframe("D", title="Zaman Dilimi Seçimi")
// Hareketli Ortalama
length = input(14, title="Hareketli Ortalama Süresi")
ma = ta.sma(request.security(syminfo.tickerid, timeframe, close), length)
// Al-Sat Sinyalleri
longCondition = ta.crossover(request.security(syminfo.tickerid, timeframe, close), ma)
shortCondition = ta.crossunder(request.security(syminfo.tickerid, timeframe, close), ma)
// Al-Sat Noktalarını Göster
plotshape(longCondition, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, text="AL")
plotshape(shortCondition, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, text="SAT")
// Hareketli Ortalamayı Göster
plot(ma, color=color.blue, title="Hareketli Ortalama")
Q-o-Q Sales, Profit, EPS//@version=5
indicator("Q-o-Q Sales, Profit, EPS", overlay=false)
// Inputs for sales, profit, and EPS for 4 quarters
sales_q1 = input.string("1000", title="Sales Q1 (in NYSE:K )")
sales_q2 = input.string("1200", title="Sales Q2 (in NYSE:K )")
sales_q3 = input.string("1100", title="Sales Q3 (in NYSE:K )")
sales_q4 = input.string("1300", title="Sales Q4 (in NYSE:K )")
profit_q1 = input.string("200", title="Profit Q1 (in NYSE:K )")
profit_q2 = input.string("250", title="Profit Q2 (in NYSE:K )")
profit_q3 = input.string("220", title="Profit Q3 (in NYSE:K )")
profit_q4 = input.string("300", title="Profit Q4 (in NYSE:K )")
eps_q1 = input.string("1.5", title="EPS Q1")
eps_q2 = input.string("1.8", title="EPS Q2")
eps_q3 = input.string("1.6", title="EPS Q3")
eps_q4 = input.string("2.0", title="EPS Q4")
// Table creation
var table table_id = table.new(position.top_center, 4, 5, bgcolor=color.new(color.gray, 90))
// Add table headers
table.cell(table_id, 0, 0, "Quarter", text_color=color.white, bgcolor=color.new(color.blue, 50))
table.cell(table_id, 0, 1, "Sales ( NYSE:K )", text_color=color.white, bgcolor=color.new(color.blue, 50))
table.cell(table_id, 0, 2, "Profit ( NYSE:K )", text_color=color.white, bgcolor=color.new(color.blue, 50))
table.cell(table_id, 0, 3, "EPS", text_color=color.white, bgcolor=color.new(color.blue, 50))
// Populate table with data
table.cell(table_id, 1, 0, "Q1", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 1, 1, sales_q1, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 1, 2, profit_q1, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 1, 3, eps_q1, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 0, "Q2", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 1, sales_q2, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 2, profit_q2, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 3, eps_q2, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 0, "Q3", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 1, sales_q3, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 2, profit_q3, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 3, eps_q3, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 0, "Q4", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 1, sales_q4, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 2, profit_q4, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 3, eps_q4, text_color=color.black, bgcolor=color.new(color.white, 0))
// Plot to make the script usable
plot(na)
Smart Money Breakout Signals [AlgoAlpha]Introducing the Smart Money Breakout Signals, a cutting-edge trading indicator designed to identify key structural shifts and breakout opportunities in the market. This tool leverages a blend of smart money concepts like Break of Structure (BOS) and Change of Character (CHoCH) to provide traders with actionable insights into market direction and potential entry or exit points.
Key Features :
✨ Market Structure Analysis : Automatically detects and labels BOS and CHoCH for trend confirmation and reversals.
🎨 Customizable Visualization : Tailor bullish and bearish colors for breakout lines and signals to suit your preferences.
📊 Dynamic Take-Profit Targets : Displays three tiered take-profit levels based on breakout volatility.
🔔 Real-Time Alerts : Stay ahead of the game with notifications for bullish and bearish breakouts.
📋 Performance Dashboard : Monitor signal statistics, including win rates and total signals, directly on your chart.
How to Use :
Add the Indicator : Add the script to your favourites ⭐ and customize settings like market structure horizon and confirmation type.
Monitor Breakouts : Observe BOS and CHoCH labels to identify potential trend shifts. Use the breakout lines and tiered take-profit levels to plan trades effectively.
Set Alerts : Enable alerts for bullish or bearish breakouts to act on opportunities without constant monitoring.
How It Works :
The indicator identifies market structure by analyzing pivot highs and lows over a user-defined time horizon. A breakout is confirmed based on either candle closes or wicks surpassing previous pivot points. Upon detection, the script generates signals with breakout lines and calculates take-profit targets based on the distance from the breakout level. A built-in dashboard tracks performance metrics like total signals and win rates, giving traders real-time feedback on strategy effectiveness.
Zig Zag + RVI / Owl of ProfitZig Zag + Relative Vigor Index (RVI) Strategy
This strategy combines the Zig Zag indicator for identifying trends and the Relative Vigor Index (RVI) for momentum-based entry and exit signals.
Features:
Zig Zag Indicator:
Helps identify major price trends and reversals.
Threshold: 5% (default) to filter out minor price movements.
Dynamically tracks highs and lows to determine the direction of the trend.
Relative Vigor Index (RVI):
Measures market momentum based on closing and opening prices relative to the range.
Length: 14 (default).
Overbought Level: 60 (default).
Oversold Level: 40 (default).
Entry and Exit Logic:
Long Condition:
Zig Zag trend is up.
RVI crosses above the oversold level (40).
Short Condition:
Zig Zag trend is down.
RVI crosses below the overbought level (60).
Exit Long:
Zig Zag trend reverses to down.
OR RVI crosses below the overbought level (60).
Exit Short:
Zig Zag trend reverses to up.
OR RVI crosses above the oversold level (40).
Visualization:
Zig Zag Lines:
Green lines for uptrends and red lines for downtrends plotted on the price chart.
RVI:
Plotted in blue with horizontal overbought (60) and oversold (40) levels for reference.
Customization:
Adjustable Zig Zag percentage threshold for filtering trend reversals.
Configurable RVI levels and length to fit various market conditions.
This strategy is ideal for traders looking to combine trend identification with momentum-based signals for precise entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
VWAP + MACD / Owl of ProfitVWAP + MACD Strategy
This strategy combines Volume Weighted Average Price (VWAP) with the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based entry and exit signals aligned with price levels.
Features:
VWAP (Volume Weighted Average Price):
A benchmark price level that accounts for trading volume.
Helps identify if the price is trading above or below a key average.
MACD (Moving Average Convergence Divergence):
Measures the relationship between two EMAs.
Fast Length: 12 (default).
Slow Length: 26 (default).
Signal Smoothing: 9 (default).
MACD Histogram highlights the difference between the MACD Line and the Signal Line.
Entry and Exit Logic:
Long Condition:
MACD Line crosses above the Signal Line.
Price is trading above VWAP.
Short Condition:
MACD Line crosses below the Signal Line.
Price is trading below VWAP.
Exit Long:
MACD Line crosses below the Signal Line.
OR price crosses below VWAP.
Exit Short:
MACD Line crosses above the Signal Line.
OR price crosses above VWAP.
Visualization:
VWAP:
Plotted as an orange line on the price chart.
MACD:
MACD Line in blue, Signal Line in red.
Histogram indicates positive (green) or negative (red) momentum.
Zero Line:
A reference line at 0 for MACD analysis.
Customization:
Adjustable MACD parameters and VWAP can be tailored to fit specific market conditions or timeframes.
This strategy is ideal for traders who want to combine momentum with volume-weighted trend direction for more precise entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Volume Oscillator + Price Action / Owl of ProfitVolume Oscillator + Price Action Strategy
This strategy combines the Volume Oscillator with a Moving Average (MA) to identify trend-following entry and exit points based on momentum and price action.
Features:
Volume Oscillator:
Measures the difference between short-term and long-term EMA of volume.
Short Length: 14 (default).
Long Length: 28 (default).
Helps identify increasing or decreasing momentum in trading activity.
Price Action Moving Average (MA):
A 50-period Simple Moving Average (default) used to determine the overall price trend.
Entry and Exit Logic:
Long Condition:
Volume Oscillator crosses above zero.
Price is above the Moving Average.
Short Condition:
Volume Oscillator crosses below zero.
Price is below the Moving Average.
Exit Long:
Volume Oscillator crosses below zero.
OR price crosses below the Moving Average.
Exit Short:
Volume Oscillator crosses above zero.
OR price crosses above the Moving Average.
Visualization:
Volume Oscillator:
Plotted as a blue line with a horizontal zero line for reference.
Price Moving Average:
Plotted as an orange line on the price chart to show trend direction.
Zero Line:
A horizontal line at zero to help visualize the Volume Oscillator crossovers.
Customization:
Adjustable lengths for Volume Oscillator and Moving Average to fit different market conditions.
This strategy is perfect for traders looking to combine momentum from volume changes with trend-following price action for precise entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Triple EMA (TEMA) + Fisher Transform / Owl of ProfitTriple EMA (TEMA) + Fisher Transform Strategy
This strategy combines the Triple Exponential Moving Average (TEMA) and Fisher Transform to identify trend and momentum-based entry and exit signals.
Features:
Triple EMA (TEMA):
A smoothed trend-following indicator designed to reduce lag.
Length: 21 (default).
Helps identify trend direction and crossover signals.
Fisher Transform:
Converts price movements into a Gaussian normal distribution.
Length: 10 (default).
Smoothing: Optional smoothing is applied to reduce noise.
Entry and Exit Logic:
Long Condition:
Price crosses above the TEMA line.
Fisher Transform crosses above 0.
Short Condition:
Price crosses below the TEMA line.
Fisher Transform crosses below 0.
Exit Long:
Price crosses below the TEMA line.
OR Fisher Transform crosses below 0.
Exit Short:
Price crosses above the TEMA line.
OR Fisher Transform crosses above 0.
Visualization:
TEMA:
Plotted in blue on the price chart to show trend direction.
Fisher Transform:
Plotted in red on a separate pane, with a dotted zero line for reference.
Zero Line:
A horizontal line at 0 helps visualize Fisher Transform crossovers.
Customization:
Adjustable TEMA and Fisher Transform lengths to fit different market conditions.
Optional smoothing for Fisher Transform to reduce noise.
This strategy is ideal for traders looking to combine trend-following and momentum-based signals for precise entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
SuperTrend + Stochastic Oscillator / Owl of ProfitSuperTrend + Stochastic Oscillator Strategy
This strategy combines SuperTrend and Stochastic Oscillator to identify trend-based entry and exit points with momentum confirmation.
Features:
SuperTrend Indicator:
Uses ATR (Average True Range) to determine trend direction.
ATR Period: 10 (default).
Multiplier: 3.0 (default).
Identifies bullish (green) and bearish (red) trends.
Stochastic Oscillator:
Measures momentum and identifies overbought or oversold conditions.
%K Period: 14 (default).
%D Period: 3 (default).
Smooth %K: 3 (default).
Entry and Exit Logic:
Long Condition:
SuperTrend indicates a bullish trend.
Stochastic %K crosses above %D.
Stochastic %K is below 20 (oversold level).
Short Condition:
SuperTrend indicates a bearish trend.
Stochastic %K crosses below %D.
Stochastic %K is above 80 (overbought level).
Exit Logic:
Exit conditions can be added using stop-loss, take-profit, or custom rules.
Visualization:
SuperTrend:
Plotted directly on the price chart with green and red lines indicating bullish and bearish trends.
Background fill highlights the trend direction.
Stochastic Oscillator:
Plotted on a separate pane with overbought (80) and oversold (20) levels highlighted.
%K is blue, and %D is orange for easy identification.
Buy and Sell Signals:
Clearly marked with "Long" and "Short" labels for easy visualization.
This strategy is ideal for traders looking to combine trend-following and momentum-based indicators for more reliable entry and exit points.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
SuperTrend + Stochastic / Owl of ProfitSuperTrend + Stochastic Strategy
This strategy combines the SuperTrend indicator with the Stochastic Oscillator to identify trend-following entry and exit points with momentum confirmation.
Features:
SuperTrend Indicator:
Uses ATR (Average True Range) to determine trend direction.
Factor: 3.0 (default).
ATR Length: 10 (default).
Indicates bullish (green) and bearish (red) trends.
Stochastic Oscillator:
Helps identify overbought and oversold conditions.
%K Length: 14 (default).
%D Length (Smoothing): 3 (default).
Overbought Level: 80 (default).
Oversold Level: 20 (default).
Entry and Exit Logic:
Long Condition:
SuperTrend indicates a bullish trend.
Stochastic %K crosses above the oversold level (20).
Short Condition:
SuperTrend indicates a bearish trend.
Stochastic %K crosses below the overbought level (80).
Exit Long:
SuperTrend changes to bearish.
OR Stochastic %K crosses below the overbought level (80).
Exit Short:
SuperTrend changes to bullish.
OR Stochastic %K crosses above the oversold level (20).
Visualization:
SuperTrend:
Plotted directly on the price chart with green and red colors indicating bullish and bearish trends.
Background color changes based on the trend direction.
Stochastic Oscillator:
%K and %D lines plotted in a separate pane with overbought (80) and oversold (20) levels highlighted.
%K is blue, and %D is orange for easy identification.
Alerts:
Not included in this script but can be added for buy and sell conditions to ensure no missed opportunities.
This strategy is ideal for traders looking to combine trend direction with momentum oscillators for more precise entries and exits. Use it for backtesting and refining your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
SAR / Owl of ProfitParabolic SAR Strategy
This strategy utilizes the Parabolic SAR indicator to identify potential trend reversals and generate buy and sell signals. It provides a simple yet effective approach for trend-following traders.
Features:
Parabolic SAR:
Step (Increment): 0.02
Maximum Step: 0.2
Start Value: 0.02
Trend-Following Logic:
Long signals are triggered when the price closes above the Parabolic SAR value.
Short signals are triggered when the price closes below the Parabolic SAR value.
Entry and Exit Logic:
Long Condition:
Price is above the Parabolic SAR value.
Opens a long position.
Short Condition:
Price is below the Parabolic SAR value.
Opens a short position.
Exit Logic:
Positions are automatically exited when the opposite signal is triggered (e.g., long to short or short to long).
Customization:
Stop-Loss and Take-Profit:
These can be added to refine risk management and optimize profitability.
Visualization:
Parabolic SAR:
Plotted as dots above or below the price, indicating trend direction.
Clear buy and sell signals based on price interaction with the SAR levels.
This strategy is straightforward and ideal for traders who prefer a simple, rule-based approach to following market trends.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
RSI + BB / Owl of ProfitRSI + Bollinger Bands Strategy
This strategy combines the Relative Strength Index (RSI) and Bollinger Bands (BB) to identify overbought and oversold conditions for high-probability trade setups.
Features:
Bollinger Bands (BB):
Basis Line: A 20-period Simple Moving Average (default).
Upper Band: Basis + 2 standard deviations of the closing price.
Lower Band: Basis - 2 standard deviations of the closing price.
RSI (Relative Strength Index):
Length: 14 periods (default).
Overbought Level: 70 (default).
Oversold Level: 30 (default).
Entry and Exit Logic:
Long Condition:
RSI crosses above the oversold level (30).
Price touches or drops below the lower Bollinger Band.
Short Condition:
RSI crosses below the overbought level (70).
Price touches or exceeds the upper Bollinger Band.
Exit Long:
RSI crosses above the overbought level (70).
OR price crosses above the BB Basis line.
Exit Short:
RSI crosses below the oversold level (30).
OR price crosses below the BB Basis line.
Visualization:
Bollinger Bands:
Upper and lower bands are displayed in blue with a shaded fill for easier trend identification.
The basis line is plotted in orange.
RSI:
RSI is displayed on a separate pane with horizontal lines at overbought (70) and oversold (30) levels.
RSI line is plotted in purple for clear visualization.
Alerts:
Not included but can be added for buy and sell conditions to ensure no trade opportunity is missed.
This strategy is designed for traders who want to combine momentum and volatility to identify high-probability reversal zones. Use it for backtesting and fine-tuning to suit your trading preferences.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
TVMC - Composite Indicator with Technical RatingsDescription:
The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making.
Key Features:
1. Trend Component (TC):
* Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend.
* The MACD signal is normalized to a range of -1 to +1 for consistency and clarity.
2. Momentum Component (MC):
* Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements.
* This component highlights overbought or oversold conditions, which may indicate potential market reversals.
3. Volume Confirmation (VC):
* Compares the current trading volume to its moving average over a specified period.
* High volume relative to the average confirms the validity of the current trend.
4. Volatility Filter (VF):
* Uses ATR (Average True Range) to gauge market volatility.
* Adjusts and smooths signals to reduce noise during periods of high volatility.
5. Technical Ratings Integration:
* Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both.
* Users can choose their preferred source of ratings for enhanced signal confirmation.
How It Works:
The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role:
* Trend: Identifies whether the market is bullish, bearish, or neutral.
* Momentum: Highlights the strength of price action.
* Volume: Confirms whether the current price action is supported by sufficient trading activity.
* Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output.
Visualization:
1. Bullish Signals:
* The indicator line turns green and remains above the zero line, indicating upward momentum.
2. Bearish Signals:
* The indicator line turns red and falls below the zero line, signaling downward momentum.
3. Neutral Signals:
* The line is orange and stays near zero, indicating a lack of strong trend or momentum.
4. Zones:
* Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively.
* A zero line is included for clear separation between bullish and bearish signals.
Recommended Usage:
* Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts.
* Trading Style: Suitable for swing and positional trading.
* Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences.
Customization Options:
* Adjustable weights for Trend, Momentum, and Volume components.
* Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods.
* Timeframe selection for multi-timeframe analysis.
Important Notes:
1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators.
2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code.
3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools.
Compliance with TradingView Rules:
* The indicator is written in Pine Script version 5, adhering to TradingView’s language standards.
* The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality.
* No promotional content, links, or unrelated references are included.
* The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
