Fractals CheckerBasically, this indicator helps to identify upper and lower fractals (red/green) of three candles.
This fractal checker marks all candles with a triangle below/above the candle that fall into this category and draws a line until the fractal is closed.
Trend Analizi
Direction finderA trend indicator is a tool used in technical analysis to help identify the direction and strength of a price movement in financial markets. It serves as a guide for traders and investors to understand whether an asset's price is likely to continue moving in a particular direction or if it may reverse. Trend indicators are typically based on historical price data, volume, and sometimes volatility, and they often use mathematical calculations or graphical representations to simplify trend analysis.
Common types of trend indicators include:
Moving Averages (MAs): Averages the asset price over a set period, creating a smooth line that helps identify the general direction of the trend. Popular moving averages include the Simple Moving Average (SMA) and Exponential Moving Average (EMA).
Moving Average Convergence Divergence (MACD): Measures the relationship between two moving averages of an asset’s price, often used to signal trend reversals or continuations based on line crossovers and the direction of the MACD line.
Average Directional Index (ADX): Indicates the strength of a trend rather than its direction. A high ADX value suggests a strong trend, while a low value suggests a weak trend or a range-bound market.
Bollinger Bands: This indicator includes a moving average with bands set at standard deviations above and below. It helps identify price volatility and potential trend reversals when prices move toward the outer bands.
Trend indicators can help identify entry and exit points by suggesting whether a trend is continuing or if the price may be about to reverse. However, they are often used in conjunction with other types of indicators, such as momentum or volume-based tools, to provide a fuller picture of market behavior and confirm trading signals.
Power Core MAThe Power Core MA indicator is a powerful tool designed to identify the most significant moving average (MA) in a given price chart. This indicator analyzes a wide range of moving averages, from 50 to 400 periods, to determine which one has the strongest influence on the current price action.
The blue line plotted on the chart represents the "Current Core MA," which is the moving average that is most closely aligned with other nearby moving averages. This line indicates the current trend and potential support or resistance levels.
The table displayed on the chart provides two important pieces of information. The "Current Core MA" value shows the length of the moving average that is currently most influential. The "Historical Core MA" value represents the average length of the most influential moving averages over time.
This indicator is particularly useful for traders and analysts who want to identify the most relevant moving average for their analysis. By focusing on the moving average that has the strongest historical significance, users can make more informed decisions about trend direction, support and resistance levels, and potential entry or exit points.
The Power Core MA is an excellent tool for those interested in finding the strongest moving average in the price history. It simplifies the process of analyzing multiple moving averages by automatically identifying the most influential one, saving time and providing valuable insights into market dynamics.
By combining current and historical data, this indicator offers a comprehensive view of the market's behavior, helping traders to adapt their strategies to the most relevant timeframes and trend strengths.
HTF Candle Projections and BoxesThe HTF Candle Projections with Labels indicator builds on the power of previous tools: HTF Candle Projections and HTF Candle Boxes for LTF Charts . This versatile indicator combines advanced features from both indicators into an improved version, allowing you to display multiple Higher Time Frame (HTF) candles directly on a Lower Time Frame (LTF) chart, with enhanced functionality for improved visualization and analysis.
Key Features
Multiple HTF Candle Projections
Project a customizable number of HTF candles to the right of the current time frame. Easily compare HTF and LTF data without constantly switching between charts.
Customizable Projection Types
Choose between traditional candles or Heikin Ashi for your projections, adapting to your preferred analysis method.
Real-Time Open/High/Low/Close Projections
Dynamic updates ensure you always have the most current levels visible. Includes optional lines for Open, High, Low, and Close values, with selectable styles (solid, dotted, dashed).
Enhanced Visualization
Display HTF candles in the background as shaded areas, with transparent color options for up and down candles—offering intuitive context for recent market movements.
OHLC Labels
View key OHLC values beside each projected candle for quick and easy reference.
Time Frame Display Table
Added visual labels to clearly indicate which HTF is being displayed—no more guessing.
Box Options for Candle Range and Body
Box the entire candle range (High to Low) or just the body (Open to Close), inspired by Kevin Rollo's HTF Candle Boxes.
Pip Range Labels
Label the pip range from High to Low or Open to Close, providing better insight into volatility and price movement within the HTF candle.
This indicator is perfect for traders seeking a combined high-level overview with detailed precision for better decision-making. HTF Candle Projections and Boxes keep the macro perspective in view while focusing on the finer details—all in one chart. Free, open-source, and community-inspired, this tool is a comprehensive solution for time frame analysis.
Released under TradingView's default license (Mozilla Public License 2.0).
Rainbow by ChetuThis indicator, Rainbow by Chetu, is a comprehensive tool designed for trend analysis and strategic trade setups on TradingView. Here’s a breakdown of its core features and functionality for your TradingView description:
Multi-Length EMAs for Trend Detection: The Rainbow Indicator uses multiple Exponential Moving Averages (EMAs) of different lengths (from 9 to 60) to detect trend strength and direction. A unique color-coding system is applied to each EMA, with green for uptrends, red for downtrends, and black during crossovers. This helps traders visualize the current market trend across various timeframes quickly.
RSI and Volume Filters: To enhance accuracy, the indicator incorporates an RSI (Relative Strength Index) and volume filter. The RSI helps avoid overbought or oversold conditions, while the volume filter ensures signals are generated only in active trading conditions, reducing false signals.
Automated Buy and Sell Signals: The indicator identifies crossover points between fast and slow EMAs, generating Buy and Sell signals based on RSI conditions and volume levels. These signals are plotted directly on the chart with clear labels, making it easy to recognize potential entry points.
Risk Management with Stop Loss and Target Levels: To support risk management, the Rainbow Indicator includes automatic stop-loss and target levels, based on a customizable ATR (Average True Range) multiplier. A shaded box is drawn on the chart between these levels, providing visual guidance on potential risk and reward for each trade.
Trendline Break Detection: The indicator includes a customizable trendline break detection feature, which uses ATR, standard deviation, or linear regression to calculate slopes for trendlines. When a significant trendline is broken, the indicator plots an alert on the chart, signaling possible trend reversals or breakout opportunities.
Customizable Color and Style Options: Users can adjust the colors of trendlines, signal boxes, and EMAs, tailoring the look and feel of the indicator to their preferences. This customization enhances chart readability and aligns with users' unique trading setups.
This Rainbow Indicator offers a powerful, multi-faceted tool for traders looking to automate and refine their analysis, providing clear entry and exit signals, robust trend visualization, and dynamic risk management all in one.
Bolvoman by Dragon.3 Chiến lược giao dịch t là một hệ thống khá phức tạp, kết hợp nhiều chỉ báo và điều kiện khác nhau để xác định tín hiệu mua và bán. Dưới đây là phần giải thích chi tiết từng phần:
EMA (Exponential Moving Averages)
Mã sử dụng ba đường EMA:
Signal EMA là EMA chu kỳ ngắn, thường là 21 hoặc 10.
Trend EMA là EMA 55, dùng để xác định xu hướng chính.
Supper Trend EMA là EMA dùng để hỗ trợ xác định xu hướng, tương tự như trailing stop.
Màu sắc và Điều kiện xu hướng
Khi Signal EMA nằm trên Trend EMA, mã sẽ hiển thị màu xanh để báo hiệu xu hướng tăng.
Khi Signal EMA nằm dưới Trend EMA, mã sẽ hiển thị màu đỏ báo hiệu xu hướng giảm.
Keltner Channel
Keltner Channel được tạo bằng cách sử dụng ATR (Average True Range) làm độ rộng kênh, nhằm xác định các vùng mua và bán.
Kênh trên (upperKC) và kênh dưới (lowerKC) được hiển thị khi người dùng bật Show KC.
Phân tích Mô Hình Nến và Khối Lượng
Mã xác định các mô hình nến như Bullish Engulfing, Bearish Engulfing, Bullish Pinbar, và Bearish Pinbar.
Nếu một trong các mô hình này xuất hiện trong điều kiện xu hướng tăng/giảm (EMA cắt lên/xuống), và khối lượng lớn hơn khối lượng trung bình của 14 phiên trước đó, thì tín hiệu mua hoặc bán sẽ được đưa ra.
Dynamic Levels Breakout
Mã có thể xác định các mức kháng cự và hỗ trợ động dựa trên các điểm pivot, dùng Pivot Point Period và ATR Factor.
Các mức kháng cự và hỗ trợ động sẽ giúp xác định điểm vào lệnh tiềm năng khi giá phá vỡ các mức này.
SuperTrend AI Dựa Trên Machine Learning
Phần này của mã nhằm phân tích và phân loại các vùng biến động cao, trung bình, và thấp dựa trên ATR.
Dựa trên AI Supper Trend, mã tính toán các trung tâm cụm dữ liệu và tạo các dải SuperTrend để chỉ ra sự biến động, hỗ trợ trader trong việc nắm bắt cơ hội giao dịch trong các điều kiện thị trường khác nhau.
Đường Zigzag và Double Bottom/Double Top
Mã có tích hợp đường zigzag để hiển thị các đỉnh và đáy, từ đó giúp xác định các mô hình đảo chiều như Double Bottom hoặc Double Top.
Điều kiện Mua/Bán chính
Mua khi Signal EMA cắt lên Trend EMA, xuất hiện Bullish Engulfing hoặc Bullish Pinbar, và giá đóng cửa trên Signal EMA kèm khối lượng lớn hơn trung bình 14 phiên.
Bán khi Signal EMA cắt xuống Trend EMA, xuất hiện Bearish Engulfing hoặc Bearish Pinbar, và giá đóng cửa dưới Signal EMA kèm khối lượng lớn hơn trung bình 14 phiên.
Chiến lược này hướng đến việc kết hợp các chỉ báo kỹ thuật và mô hình nến để tăng độ chính xác cho tín hiệu giao dịch. Với các chỉ báo như EMA, Keltner Channel, SuperTrend AI, và phân tích khối lượng, mã cho phép các trader nhận diện các cơ hội giao dịch tốt trong xu hướng và các điểm phá vỡ quan trọng.
Auto Fibonacci LevelsPurpose of the Code:
This Pine Script™ code designed to automatically plot Fibonacci levels on a price chart based on a user-defined lookback period and other customizable settings. By identifying key Fibonacci levels within a specified lookback range, this indicator assists traders in determining potential support and resistance areas. It also allows for flexibility in reversing the trend direction, adding custom levels, and displaying labels for easy reference on the chart.
Key Components and Functionalities:
1. Inputs:
- `lookback` (Lookback): The number of bars to look back when calculating the highest and lowest prices for Fibonacci levels.
- `reverse`: Reverses the trend direction for calculating Fibonacci levels, useful when identifying retracements in both upward and downward trends.
- `lb` (Line Back): A secondary lookback parameter for adjusting the position of lines.
- Color and Label Settings: Options for customizing colors, labels, and whether to display prices at each Fibonacci level.
2. Fibonacci Levels:
- Sixteen Fibonacci levels are defined as inputs (`l1` to `l16`) with each having a customizable value (e.g., 0.236, 0.5, 1.618). This allows traders to select standard or custom Fibonacci levels.
- The calculated levels are dynamically adjusted based on the highest and lowest prices within the lookback period.
3. Price Range Calculation:
- `highest_price` and `lowest_price` are determined within the specified lookback range. These values form the range used to calculate Fibonacci retracement and extension levels.
4. Fibonacci Level Calculation:
- The script calculates the Fibonacci levels as a percentage of the range between the highest and lowest prices.
- Levels are adjusted for upward or downward trends based on user input (e.g., the `reverse` option) and Zigzag indicator direction.
5. Plotting Fibonacci Levels:
- Lines are drawn at each Fibonacci level with customizable colors that can form a gradient from one color to another (e.g., from lime to red).
- Labels with price and level values are also plotted beside each Fibonacci line, with options to toggle visibility and position.
6. Additional Lines:
- Lines representing the highest and lowest prices within the lookback range can be displayed as support and resistance levels for added reference.
Usage:
The Auto Fibonacci Levels indicator is designed for traders who utilize Fibonacci retracement and extension levels to identify potential support and resistance zones, reversal points, or trend continuations. This indicator enables:
- Quick visualization of Fibonacci levels without manual drawing.
- Customization of the levels and the ability to add unique Fibonacci levels.
- Identification of key support and resistance levels based on recent price action.
This tool is beneficial for traders focused on technical analysis and Fibonacci-based trading strategies.
Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Volume Flow ConfluenceVolume Flow Confluence (CMF-KVO Integration)
Core Function:
The Volume Flow Confluence Indicator combines two volume-analysis methods: Chaikin Money Flow (CMF) and the Klinger Volume Oscillator (KVO). It displays a histogram only when both indicators align in their respective signals.
Signal States:
• Green Bars: CMF is positive (> 0) and KVO is above its signal line
• Red Bars: CMF is negative (< 0) and KVO is below its signal line
• No Bars: When indicators disagree
Technical Components:
Chaikin Money Flow (CMF):
Measures the relationship between volume and price location within the trading range:
• Calculates money flow volume using close position relative to high/low range
• Aggregates and normalizes over specified period
• Default period: 20
Klinger Volume Oscillator (KVO):
Evaluates volume in relation to price movement:
• Tracks trend changes using HLC3
• Applies volume force calculation
• Uses two EMAs (34/55) with a signal line (13)
Practical Applications:
1. Signal Identification
- New colored bars after blank periods show new agreement between indicators
- Color intensity differentiates new signals from continuations
- Blank spaces indicate lack of agreement
2. Trend Analysis
- Consecutive colored bars show continued indicator agreement
- Transitions between colors or to blank spaces show changing conditions
- Can be used alongside other technical analysis tools
3. Risk Considerations
- Signals are not predictive of future price movement
- Should be used as one of multiple analysis tools
- Effectiveness may vary across different markets and timeframes
Technical Specifications:
Core Algorithm
CMF = Σ(((C - L) - (H - C))/(H - L) × V)n / Σ(V)n
KVO = EMA(VF, 34) - EMA(VF, 55)
Where VF = V × |2(dm/cm) - 1| × sign(Δhlc3)
Signal Line = EMA(KVO, 13)
Signal Logic
Long: CMF > 0 AND KVO > Signal
Short: CMF < 0 AND KVO < Signal
Neutral: All other conditions
Parameters
CMF Length = 20
KVO Fast = 34
KVO Slow = 55
KVO Signal = 13
Volume = Regular/Actual Volume
Data Requirements
Price Data: OHLC
Volume Data: Required
Minimum History: 55 bars
Recommended Timeframe: ≥ 1H
Credits:
• Marc Chaikin - Original CMF development
• Stephen Klinger - Original KVO development
• Alex Orekhov (everget) - CMF script implementation
• nj_guy72 - KVO script implementation
Rikki's DikFat Bull/Bear OscillatorRikki's DikFat Bull/Bear Oscillator - Trend Identification & Candle Colorization
Rikki's DikFat Bull/Bear Oscillator is a powerful visual tool designed to help traders easily identify bullish and bearish trends on the chart. By analyzing market momentum using specific elements of the Commodity Channel Index (CCI) , this indicator highlights key trend reversals and continuations with color-coded candles, allowing you to quickly spot areas of opportunity.
How It Works
At the heart of this indicator is the Commodity Channel Index (CCI) , a popular momentum-based oscillator. The CCI measures the deviation of price from its average over a specified period (default is 30 bars). This helps identify whether the market is overbought, oversold, or trending.
Here's how the indicator interprets the CCI:
Bullish Trend (Green Candles) : When the market is showing signs of continued upward momentum, the candles turn green. This happens when the current CCI is less than 200 and moves from a value greater than 100 with velocity, signaling that the upward trend is still strong, and the market is likely to continue rising. Green candles indicate bullish price action , suggesting it might be a good time to look for buying opportunities or hold your current long position.
Bearish Trend (Red Candles) : Conversely, when the CCI shows signs of downward momentum (both the current and previous CCI readings are negative), the candles turn red. This signals that the market is likely in a bearish trend , with downward price action expected to continue. Red candles are a visual cue to consider selling opportunities or to stay out of the market if you're risk-averse.
How to Use It
Bullish Market : When you see green candles, the market is in a bullish phase. This suggests that prices are moving upward, and you may want to focus on buying signals . Green candles are your visual confirmation of a strong upward trend.
Bearish Market : When red candles appear, the market is in a bearish phase. This indicates that prices are moving downward, and you may want to consider selling or staying out of long positions. Red candles signal that downward pressure is likely to continue.
Why It Works
This indicator uses momentum to identify shifts in trend. By tracking the movement of the CCI , the oscillator detects whether the market is trending strongly or simply moving in a sideways range. The color changes in the candles help you quickly visualize where the market momentum is headed, giving you an edge in determining potential buy or sell opportunities.
Clear Visual Signals : The green and red candles make it easy to follow market trends, even for beginners.
Identifying Trend Continuations : The oscillator helps spot ongoing trends, whether bullish or bearish, so you can align your trades with the prevailing market direction.
Quick Decision-Making : By using color-coded candles, you can instantly know whether to consider entering a long (buy) or short (sell) position without needing to dive into complex indicators.
NOTES This indicator draws and colors it's own candles bodies, wicks and borders. In order to have the completed visualization of red and green trends, you may need to adjust your TradingView chart settings to turn off or otherwise modify chart candles.
Conclusion
With Rikki's DikFat Bull/Bear Oscillator , you have an intuitive and easy-to-read tool that helps identify bullish and bearish trends based on proven momentum indicators. Whether you’re a novice or an experienced trader, this oscillator allows you to stay in tune with the market’s direction and make more informed, confident trading decisions.
Make sure to use this indicator in conjunction with your own trading strategy and risk management plan to maximize your trading potential and limit your risks.
ORB with Buy and Sell Signals BY NAT LOGThis indicator for intraday when first candle of high and low breaches generate buy and sell signals, target should be earlier previous day first 15 min high or low
Composite Oscillation Indicator Based on MACD and OthersThis indicator combines various technical analysis tools to create a composite oscillator that aims to capture multiple aspects of market behavior. Here's a breakdown of its components:
* Individual RSIs (xxoo1-xxoo15): The code calculates the RSI (Relative Strength Index) of numerous indicators, including volume-based indicators (NVI, PVI, OBV, etc.), price-based indicators (CCI, CMO, etc.), and moving averages (WMA, ALMA, etc.). It also includes the RSI of the MACD histogram (xxoo14).
* Composite RSI (xxoojht): The individual RSIs are then averaged to create a composite RSI, aiming to provide a more comprehensive view of market momentum and potential turning points.
* MACD Line RSI (xxoo14): The RSI of the MACD histogram incorporates the momentum aspect of the MACD indicator into the composite measure.
* Double EMA (co, coo): The code employs two Exponential Moving Averages (EMAs) of the composite RSI, with different lengths (9 and 18 periods).
* Difference (jo): The difference between the two EMAs (co and coo) is calculated, aiming to capture the rate of change in the composite RSI.
* Smoothed Difference (xxp): The difference (jo) is further smoothed using another EMA (9 periods) to reduce noise and enhance the signal.
* RSI of Smoothed Difference (cco): Finally, the RSI is applied to the smoothed difference (xxp) to create the core output of the indicator.
Market Applications and Trading Strategies:
* Overbought/Oversold: The indicator's central line (plotted at 50) acts as a reference for overbought/oversold conditions. Values above 50 suggest potential overbought zones, while values below 50 indicate oversold zones.
* Crossovers and Divergences: Crossovers of the cco line above or below its previous bar's value can signal potential trend changes. Divergences between the cco line and price action can also provide insights into potential trend reversals.
* Emoji Markers: The code adds emoji markers ("" for bullish and "" for bearish) based on the crossover direction of the cco line. These can provide a quick visual indication of potential trend shifts.
* Colored Fill: The area between the composite RSI line (xxoojht) and the central line (50) is filled with color to visually represent the prevailing market sentiment (green for above 50, red for below 50).
Trading Strategies (Examples):
* Long Entry: Consider a long entry (buying) signal when the cco line crosses above its previous bar's value and the composite RSI (xxoojht) is below 50, suggesting a potential reversal from oversold conditions.
* Short Entry: Conversely, consider a short entry (selling) signal when the cco line crosses below its previous bar's value and the composite RSI (xxoojht) is above 50, suggesting a potential reversal from overbought conditions.
* Confirmation: Always combine the indicator's signals with other technical analysis tools and price action confirmation for better trade validation.
Additional Notes:
* The indicator offers a complex combination of multiple indicators. Consider testing and optimizing the parameters (EMAs, RSI periods) to suit your trading style and market conditions.
* Backtesting with historical data can help assess the indicator's effectiveness and identify potential strengths and weaknesses in different market environments.
* Remember that no single indicator is perfect, and the cco indicator should be used in conjunction with other forms of analysis to make informed trading decisions.
By understanding the logic behind this composite oscillator and its potential applications, you can incorporate it into your trading strategy to potentially identify trends, gauge market sentiment, and generate trading signals.
Volume based support and resistance [camerilla pivot]
Your script is a comprehensive indicator built for the Pine Script v5, incorporating a Variable Index Dynamic Average (VIDYA) with Camerilla pivot levels and liquidity zones. I'll break down key elements and provide minor improvements or corrections if needed.
Structure and Key Features
VIDYA Calculation:
vidya_calc function calculates the Variable Index Dynamic Average, a volatility-adjusted moving average.
It uses a momentum-based calculation to adjust its response to price changes, making it adaptive.
Liquidity Zones:
The script creates liquidity lines based on pivot highs and lows, marking potential support and resistance zones.
The extend_liquidity_lines function handles the visual updates for these liquidity lines, adding labels and markers based on volume changes.
Trend Detection:
The script identifies up and down trends based on VIDYA crossovers with user-defined upper and lower bands.
Accumulated volumes are calculated separately for uptrends and downtrends, and this information is displayed on the last bar.
Camarilla Pivots:
Camarilla pivots are calculated using high, low, and close prices from a specified timeframe (default: daily).
This includes various levels such as R3, S3, R4, S4, etc., with optional labels to show these levels on the chart.
The pivot levels are dynamically updated, resetting previous labels and lines to avoid clutter.
3 CANDLE SUPPLY/DEMANDExplanation of the Code:
Demand Zone Logic: The script checks if the second candle closes below the low of the first candle and the third candle closes above both the highs of the first and second candles.
Zone Plotting: Once the pattern is identified, a demand zone is plotted from the low of the first candle to the high of the third candle, using a dashed green line for clarity.
Markers: A small triangle marker is added below the bars where a demand zone is detected for easy visualization.
Efficient Logic: The script checks the conditions for demand zone formation for every three consecutive candles on the chart.
This approach should be both accurate and efficient in plotting demand zones, making it easier to spot potential support levels on the chart.
sangram RSI Candlesticks//@version=5
indicator('Glowing RSI Candlesticks', shorttitle='Glow RSI', overlay=false)
// RSI Settings
rsiPeriod = input.int(40, title='RSI Period', minval=1)
rsiSource = close
rsiValue = ta.rsi(rsiSource, rsiPeriod)
// Toggle Visibility
showRSILine = input(true, title='Make the RSI Glow')
showAllMA = input(true, title="Show ALL Moving Averages")
showMA1 = input(true, title='Show Moving Average 1')
showMA2 = input(true, title='Show Moving Average 2')
showMA3 = input(true, title='Show Moving Average 3')
showMA4 = input(true, title='Show Moving Average 4')
showBars = input(true, title='Show RSI OHLC Bars')
maLength1 = input.int(9, title='MA Length 1')
maLength2 = input.int(15, title='MA Length 2')
maLength3 = input.int(30, title='MA Length 3')
maLength4 = input.int(50, title='MA Length 4')
// Calculate OHLC Values for RSI
rsiOpen = na(rsiValue ) ? rsiValue : rsiValue
rsiHigh = ta.highest(rsiValue, rsiPeriod)
rsiLow = ta.lowest(rsiValue, rsiPeriod)
// Define Colors
barUpColor = color.new(color.green, 0)
barDownColor = color.new(color.red, 0)
barColor = rsiOpen < rsiValue ? barUpColor : barDownColor
// Plot RSI OHLC Bars
plotcandle(showBars ? rsiOpen : na, rsiHigh, rsiLow, rsiValue, title="RSI OHLC", color=barColor, wickcolor=color.new(color.white, 100), bordercolor=barColor)
// Horizontal Lines
hline(70, "Oversold", color.new(color.red, 80), linewidth = 2, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 85), linewidth = 12, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 90), linewidth = 24, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 95), linewidth = 36, linestyle = hline.style_solid)
hline(50, "Mid", color=color.gray)
hline(30, "Oversold", color.new(color.green, 80), linewidth = 2, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 85), linewidth = 12, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 90), linewidth = 24, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 95), linewidth = 36, linestyle = hline.style_solid)
// Plot RSI Line
rsiColor1 = color.new(color.blue, 30)
rsiColor2 = color.new(color.blue, 80)
rsiColor3 = color.new(color.blue, 85)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor1, linewidth=2)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor2, linewidth=10)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor3, linewidth=16)
// Moving Average
maValue1 = ta.sma(rsiValue, maLength1)
maValue2 = ta.sma(rsiValue, maLength2)
maValue3 = ta.sma(rsiValue, maLength3)
maValue4 = ta.sma(rsiValue, maLength4)
plot(showAllMA and showMA1 ? maValue1 : na, title='MA 1', color=color.green)
plot(showAllMA and showMA2 ? maValue2 : na, title='MA 2', color=color.fuchsia)
plot(showAllMA and showMA3 ? maValue3 : na, title='MA 3', color=color.red)
plot(showAllMA and showMA4 ? maValue4 : na, title='MA 4', color=color.red)
WinZip by ChetuWinZip by Chetu: EMA Crossover Strategy
The WinZip by Chetu indicator is designed to assist traders in identifying potential buy and sell opportunities based on the crossover of multiple Exponential Moving Averages (EMAs). This strategy utilizes six EMAs of varying lengths to analyze the market trend, with visual signals and color coding for easier interpretation.
Features:
Multiple EMAs:
The script calculates and plots six EMAs with different lengths (30, 35, 40, 45, 50, and 60) on the chart. These EMAs are dynamically colored to reflect the prevailing trend:
Green: Indicates an uptrend (EMA 30 is above EMA 60).
Red: Indicates a downtrend (EMA 30 is below EMA 60).
Black: When a crossover occurs between EMA 30 and EMA 60, the EMAs turn black for clearer visualization.
Buy/Sell Signals:
Buy Signal: A green arrow appears when EMA 30 crosses above EMA 60, signaling a potential buy opportunity.
Sell Signal: A red arrow appears when EMA 30 crosses below EMA 60, signaling a potential sell opportunity.
Alert Conditions:
Alerts are available for both the buy and sell signals, enabling users to set notifications when either condition is met. This makes it easier to act quickly on the trade setup without constantly watching the chart.
How to Use:
Trend Following:
Traders can use this strategy as a trend-following tool. When the EMAs align in an uptrend (EMA 30 above EMA 60), it's a signal to look for buying opportunities. Conversely, when the EMAs align in a downtrend (EMA 30 below EMA 60), it suggests a bearish market, favoring sell opportunities.
Confirmation Tool:
The WinZip by Chetu indicator is best used in conjunction with other technical indicators (e.g., RSI, MACD) or price action analysis to confirm buy or sell signals for more robust trading strategies.
Customization:
EMA Lengths: The lengths of the EMAs can be adjusted to suit different timeframes and market conditions.
Signal Types: Modify the types of signals (e.g., shapes, colors) to match personal preferences.
Alerts Setup:
Set up custom alerts on TradingView for when the Buy Signal or Sell Signal occurs. This ensures you're notified in real time when these important crossover events happen.
OTI-Options Trading IndicatorThis Pine Script strategy, "Enhanced Multiple Indicators Strategy (EMIS)," utilizes multiple technical indicators to generate trade signals. The strategy combines signals from moving averages, RSI, MACD, Bollinger Bands, Stochastic Oscillator, and ATR to evaluate market conditions and make informed trading decisions. This approach aims to capture strong buy and sell signals by aggregating the insights of these indicators into a scoring system, which helps filter out weaker signals and identify high-probability trades.
Indicators Used:
Simple Moving Average (SMA):
Measures the average closing price over a specified period (MA Length) to assess trend direction.
Relative Strength Index (RSI):
An oscillator that identifies overbought and oversold conditions based on RSI Length.
Overbought level is set at 70, and oversold level at 30.
Moving Average Convergence Divergence (MACD):
MACD line and Signal line are used for crossover signals, indicating potential momentum shifts.
Configured with MACD Fast Length, MACD Slow Length, and MACD Signal Length.
Bollinger Bands (BB):
This indicator uses a moving average and standard deviation to set upper and lower bands.
Upper and lower bands help indicate volatility and potential reversal zones.
Stochastic Oscillator:
Measures the position of the close relative to the high-low range over a specified period.
Uses a Stoch Length to determine trend momentum and reversal points.
Average True Range (ATR):
Measures volatility over a specified period to indicate potential breakouts and trend strength.
ATR Length determines the range for the current market.
Score Calculation:
Each indicator contributes a score based on its current signal:
Moving Average (MA): If the price is above the MA, it adds +5; otherwise, -5.
RSI: +10 if oversold, -10 if overbought, and 0 if neutral.
MACD: +5 for a bullish crossover, -5 for a bearish crossover.
Bollinger Bands: +5 if below the lower band, -5 if above the upper band, and 0 if within bands.
Stochastic: +5 if %K > %D (bullish), -5 if %K < %D (bearish).
ATR: Adjusted to detect increased volatility (e.g., recent close above previous close plus ATR).
The final score is a combination of these scores:
If the score is between 5 and 10, a Buy order is triggered.
If the score is between -5 and -10, the position is closed.
Usage Notes:
Adjust indicator lengths and levels to fit specific markets.
Back test this strategy on different timeframes to optimize results.
This script can be a foundation for more complex trading systems by tweaking scoring methods and indicator parameters.
Please Communicate Your Trading Results And Back Testing Score On-
manjunath0honmore@gmail.com
Tele-@tbmlh
Strong 3rd Wave Signal with Filter By DemirkanThis indicator is a unique tool designed to accurately detect market trends and generate strong buy signals. The technical analysis indicators used here not only determine the direction of the trend but also measure the reliability and strength of price movements by combining a series of volume, momentum, and volatility parameters. This allows the detection of strong trend beginnings such as the third wave. This indicator aims to make market analysis more reliable and effective.
Key Indicators and Their Purposes:
The indicator generates strong buy signals by combining the following key indicators. Each indicator analyzes a specific market behavior, and together they provide investors with a reliable signal of a strong trend beginning.
HMA (Hull Moving Average):
Purpose: HMA is an indicator that responds faster than traditional moving averages and provides a smoother trend line. The HMA rising and price being above the HMA are among the most important signals confirming the strength and direction of the trend.
Why It's Used: HMA helps to quickly identify the beginning of a trend, filtering out unnecessary noise and generating accurate buy signals.
RSI (Relative Strength Index):
Purpose: RSI indicates whether the market is in overbought or oversold conditions. In this indicator, RSI being between the neutral zone and overbought shows that the price has not yet reached overbought levels and provides a potential buy opportunity.
Why It's Used: RSI shows the overall momentum of the market. High RSI values indicate overbought conditions, but in this strategy, using the range between neutral and overbought highlights healthy buying opportunities.
ADX (Average Directional Index):
Purpose: ADX measures the strength of the current trend. When the ADX value rises, it indicates a strong trend. This indicator generates buy signals when ADX shows a strong trend.
Why It's Used: ADX confirms not only that the price is rising but also how strong the trend is. This gives investors a clearer understanding of both the direction and strength of the trend.
Volume:
Purpose: High volume supports the reliability of price movements. Volume being 10% higher than the average volume shows that the price movement is strongly supported and that the trend is reliable.
Why It's Used: Volume is a key factor that confirms the accuracy and strength of price movements. High volume indicates that the trend is sustainable, increasing the reliability of buy signals.
EMA 200 (Exponential Moving Average) and SMA 50 (Simple Moving Average):
Purpose: EMA 200 determines the long-term trend direction, while SMA 50 shows short-term movements. When the price is below EMA 200 and above SMA 50, it indicates a strong buy potential.
Why It's Used: EMA 200 tracks the overall long-term trend, while SMA 50 shows short-term movements. The combination of these two indicators suggests that the market is providing a stronger buy signal.
Strong Buy Signal Conditions:
HMA rising and price above HMA: This indicates an upward trend.
RSI between the neutral zone and overbought: The market is not yet in overbought territory, presenting a healthy buying opportunity.
Price above the highest high of the last 10 bars: This shows the price is moving strongly upwards and is at an ideal point for a buy.
Volume 10% higher than the average: High volume supports the price movement and confirms the trend's strength.
ADX showing a strong trend: This confirms the strength of the trend and validates the potential buy signal.
Price below EMA 200 and above SMA 50: This combination indicates a strong buy opportunity.
How the Buy Signal Works:
The indicator generates strong buy signals when all the conditions mentioned above are met. The signal is displayed on the chart as a green arrow and is accompanied by a sound notification to alert the user. The reliability of this signal is ensured through the confirmation provided by the combination of all these indicators.
Why Is This Unique?
This indicator not only combines traditional technical analysis tools, but also integrates each indicator in a way that confirms one another, providing more reliable and accurate signals. By considering both volatility and volume, it measures the true strength and direction of the market. This approach allows for a more robust and accurate analysis, setting it apart from similar indicators.
Conclusion:
This indicator aims to capture the beginning of strong trends and help investors identify the best buying opportunities. By leveraging both traditional indicators and advanced filtering methods, it offers a more in-depth and reliable market analysis. This makes it easier for investors to make stronger and more confident trading decisions.
Adlytick Super Indicator TrialThe Adlytick Super Indicator Trial offers an accessible introduction to multi-timeframe trend detection and directional movement alignment, combining the Supertrend and DMI (Directional Movement Index) indicators for short-term trend assessment. In this trial version, only three timeframes (5, 10, and 15 minutes) are used to gauge market trends.
This indicator visualizes trend strength and alignment by generating a color-coded heatmap for each selected timeframe:
- Green indicates a positive trend signal in alignment with DMI.
- Red shows a negative trend alignment with DMI.
Labels on the chart indicate each timeframe, helping users visually assess the alignment between short, medium, and long 15-minute trends. A buy signal is generated when all timeframes align in an uptrend, while a sell signal is triggered when they align in a downtrend. Alerts can be configured for these buy and sell conditions, making it easier to monitor the market.
This trial version is best suited for users looking to explore quick trend assessment without overloading on timeframes, with clear entry/exit indications on the 5, 10, and 15-minute intervals.
How to Use:
- Apply the indicator on intraday charts to monitor trend alignment across the three available timeframes.
- Set alerts to receive notifications for buy/sell conditions, where all timeframes align in the same trend direction.
- Observe the color-coded heatmap and use it in conjunction with other analyses for a balanced trading decision.
For access to the full version, which includes extended timeframes and additional features, please contact us directly. This script is intended to offer a limited preview and is not an exhaustive trading solution. Past performance does not guarantee future results, so exercise due diligence in your trading strategies.
Stan Weinstein's Relative StrengthThis script is an implementation of Stan Weinstein's relative strength as defined in his book, Secrets for Profiting in Bull and Bear Markets. Relative strength compares the performance of a stock against a market index.
The formula for relative strength is the price of a stock divided by the price of a market average. I have added an option for smoothing the relative strength, but I do not use it.
I recommend plotting relative strength on a log axis.
Stan Weinstein's relative strength is NOT to be confused with the Relative Strength Index (RSI).
EMA 25 and 200EMA 25 and 200
Traders can use the EMA 25 and 200 to determine the current trend direction.
A bullish trend is indicated when the EMA 25 is above the EMA 200, while a bearish trend is suggested when the EMA 25 is below the EMA 200.
Crossovers can be used as trading signals; for instance, a Golden Cross may prompt traders to consider long positions.
Supertrend EMA & KNNSupertrend EMA & KNN
The Supertrend EMA indicator cuts through the noise to deliver clear trend signals.
This tool is built using the good old Exponential Moving Averages (EMAs) with a novel of machine learning; KNN (K Nearest Neighbors) breakout detection method.
Key Features:
Effortless Trend Identification: Supertrend EMA simplifies trend analysis by automatically displaying a color-coded EMA. Green indicates an uptrend, red signifies a downtrend, and the absence of color suggests a potential range.
Dynamic Breakout Detection: Unlike traditional EMAs, Supertrend EMA incorporates a KNN-based approach to identify breakouts. This allows for faster color changes compared to standard EMAs, offering a more dynamic picture of the trend.
Customizable Parameters: Fine-tune the indicator to your trading style. Adjust the EMA length for trend smoothing, KNN lookback window for breakout sensitivity, and breakout threshold for filtering noise.
A Glimpse Under the Hood:
Dual EMA Power: The indicator utilizes two EMAs. A longer EMA (controlled by the "EMA Length" parameter) provides a smooth trend direction, while a shorter EMA (controlled by the "Short EMA Length" parameter) triggers color changes, aiming for faster response to breakouts.
KNN Breakout Detection: This innovative feature analyzes price action over a user-defined lookback period (controlled by the "KNN Lookback Length" parameter) to identify potential breakouts. If the price surpasses a user-defined threshold (controlled by the "Breakout Threshold" parameter) above the recent highs, a green color is triggered, signaling a potential uptrend. Conversely, a breakdown below the recent lows triggers a red color, indicating a potential downtrend.
Trading with Supertrend EMA:
Ride the Trend: When the indicator displays green, look for long (buy) opportunities, especially when confirmed by bullish price action patterns on lower timeframes. Conversely, red suggests potential shorting (sell) opportunities, again confirmed by bearish price action on lower timeframes.
Embrace Clarity: The color-coded EMA provides a clear visual representation of the trend, allowing you to focus on price action and refine your entry and exit strategies.
A Word of Caution:
While Supertrend EMA offers faster color changes than traditional EMAs, it's important to acknowledge a slight inherent lag. Breakout detection relies on historical data, and there may be a brief delay before the color reflects a new trend.
To achieve optimal results, consider:
Complementary Tools: Combine Supertrend EMA with other indicators or price action analysis for additional confirmation before entering trades.
Solid Risk Management: Always practice sound risk management strategies such as using stop-loss orders to limit potential losses.
Supertrend EMA is a powerful tool designed to simplify trend identification and enhance your trading experience. However, remember, no single indicator guarantees success. Use it with a comprehensive trading strategy and disciplined risk management for optimal results.
Disclaimer:
While the Supertrend EMA indicator can be a valuable tool for identifying potential trend changes, it's important to note that it's not infallible. Market conditions can be highly dynamic, and indicators may sometimes provide false signals. Therefore, it's crucial to use this indicator in conjunction with other technical analysis tools and sound risk management practices. Always conduct thorough research and consider consulting with a financial advisor before making any investment decisions.
Volume based support and resistance [camerilla pivot]VIDYA Calculation:
vidya_calc function calculates the Variable Index Dynamic Average, a volatility-adjusted moving average.
It uses a momentum-based calculation to adjust its response to price changes, making it adaptive.
Liquidity Zones:
The script creates liquidity lines based on pivot highs and lows, marking potential support and resistance zones.
The extend_liquidity_lines function handles the visual updates for these liquidity lines, adding labels and markers based on volume changes.
Trend Detection:
The script identifies up and down trends based on VIDYA crossovers with user-defined upper and lower bands.
Accumulated volumes are calculated separately for uptrends and downtrends, and this information is displayed on the last bar.
Camarilla Pivots:
Camarilla pivots are calculated using high, low, and close prices from a specified timeframe (default: daily).
This includes various levels such as R3, S3, R4, S4, etc., with optional labels to show these levels on the chart.
The pivot levels are dynamically updated, resetting previous labels and lines to avoid clutter.
