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.
Trendanalyse
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.
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.
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).
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.
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.
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.
Support & Resistance AI LevelScopeSupport & Resistance AI LevelScope
Support & Resistance AI LevelScope is an advanced, AI-driven tool that automatically detects and highlights key support and resistance levels on your chart. This indicator leverages smart algorithms to pinpoint the most impactful levels, providing traders with a precise, real-time view of critical price boundaries. Save time and enhance your trading edge with effortless, intelligent support and resistance identification.
Key Features:
AI-Powered Level Detection: The LevelScope algorithm continuously analyzes price action, dynamically plotting support and resistance levels based on recent highs and lows across your chosen timeframe.
Sensitivity Control: Customize the sensitivity to display either major levels for a macro view or more frequent levels for detailed intraday analysis. Easily adjust to suit any trading style or market condition.
Level Strength Differentiation: Instantly recognize the strength of each level with visual cues based on how often price has touched each one. Stronger levels are emphasized, highlighting areas with higher significance, while weaker levels are marked subtly.
Customizable Visuals: Tailor the look of your chart with customizable color schemes and line thickness options for strong and weak levels, ensuring clear visibility without clutter.
Proximity Alerts: Receive alerts when price approaches key support or resistance, giving you a heads-up for potential market reactions and trading opportunities.
Who It’s For:
Whether you're a day trader, swing trader, or just want a quick, AI-driven way to identify high-probability levels on your chart, Support & Resistance AI LevelScope is designed to keep you focused and informed. This indicator is the perfect addition to any trader’s toolkit, empowering you to make more confident, data-backed trading decisions with ease.
Upgrade your analysis with AI-powered support and resistance—no more manual lines, only smart levels!
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.
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)
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.
Option Delta CandlesDescription:
The Option Delta Candles with EMA indicator is designed to help traders visualize option delta values as candlesticks, calculated using the Black-Scholes model. It provides a unique way to view the cumulative delta changes in a normalized format, making it easier to identify trends and reversals. The addition of an EMA (Exponential Moving Average) overlay helps smooth out the data for better trend analysis.
Features:
Customizable Inputs:
Risk-Free Interest Rate: Adjust the risk-free rate for more precise option calculations.
Volatility: Input the volatility of the underlying asset to reflect current market conditions.
Strike Price: Enter the desired strike price of the option.
Days to Expiration: Specify the days until the option's expiration.
EMA Length: Modify the length of the EMA to suit different time frames and trading styles.
Visual Styles:
Customizable candle colors for bullish and bearish candles.
Configurable border and wick colors for personalized chart aesthetics.
How It Works:
The indicator uses the Black-Scholes model to calculate the delta of a European call option. Delta measures the sensitivity of the option's price to changes in the price of the underlying asset.
A cumulative delta is calculated and normalized to create candlestick representations, providing a visual cue of how the option delta changes over time.
The scaled delta values are normalized between 0 and 1, allowing for a consistent view of relative strength and weakness.
The EMA overlay helps identify smoothed trends and potential reversals within the delta data.
Applications:
Trend Identification: The indicator helps spot trends and potential reversals in option delta movements.
Volatility Analysis: By visualizing option delta, traders can gain insight into how changes in volatility impact options pricing.
Advanced Analysis: This tool is ideal for options traders and analysts looking to integrate delta analysis into their strategies.
Use Cases:
Traders can use the candlestick view to understand shifts in market sentiment through delta changes.
Options Analysts can visualize delta fluctuations over time, aiding in complex options trading strategies.
Technical Analysts may combine this indicator with other tools to confirm signals and enhance trading decisions.
Indicator Configuration:
Input Settings:
Risk-free interest rate (as a percentage).
Volatility (standard deviation) in percentage.
Strike price of the option.
Days remaining until expiration.
EMA length for trend analysis.
Style Customization:
Select colors for bullish and bearish candles, border, and wicks.
Change the color of the EMA line to distinguish it on the chart.
Release Notes:
Initial Version: Includes full implementation of the Black-Scholes delta calculation with customizable EMA and normalized candlestick view.
Future Updates: Potential additions may include enhancements for put options and integrated alerts.
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).
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.
yeni nesilbu indikatör borsa gakgom (murat aslanmirza )tarafından düzenlenmiş olup özel ayarlar içermektedir kullanım için uygun sonuçlar vermeyebilir
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
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.
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.
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.
Volumetric Rejection Blocks [UAlgo]The Volumetric Rejection Blocks is designed to help traders identify and visualize key price levels where volumetric rejections occur, which may indicate a shift in market sentiment. These rejections can signal potential trend reversals or areas where price action is likely to face support or resistance. By drawing rejection blocks based on volumetric strength, the indicator allows users to observe where significant buying or selling pressure has been exerted, which can be used as a reference point for future price action.
Also indicator dynamically calculates swing highs and lows, analyzes bullish and bearish strengths based on volume-weighted price movements, and displays rejection blocks on the chart. Each rejection block represents an area where the price attempted to move beyond a certain level but faced rejection, either on a close or wick basis. This can be particularly useful for traders who rely on market structure and order flow to make informed decisions about entering or exiting trades.
🔶 Key Features
Swing Length Customization: Allows users to define the swing length, helping tailor the sensitivity of the swing high and low detection to the specific market conditions.
Rejection Block Visualization: Displays up to the last 10 rejection blocks based on user settings, clearly marking areas of significant bullish or bearish rejections.
Volumetric Strength Analysis: The indicator calculates bullish and bearish strength for each rejection block, based on volume-weighted price movements over the last few bars, giving insight into the intensity of the rejection.
Violation Check Type: Offers two options for violation detection—"Close" and "Wick". This allows traders to specify whether a price level is considered broken only if it closes beyond the level or if any wick breaches it.
Bullish and Bearish Block Coloring: Rejection blocks are colored to represent bullish (green) and bearish (red) rejection areas. The color transparency can be adjusted for clear visibility overlaid on the price chart.
Market Structure Labels: Labels and lines marking "Market Structure Shift" (MSS) and "Break of Structure" (BOS) are displayed, giving traders context about significant market structure changes.
🔶 Interpreting the Indicator
Rejection Blocks: These colored blocks on the chart indicate areas where the price faced significant buying or selling pressure. A green block suggests a bullish rejection (support zone), where buyers absorbed the sell-off, potentially pushing the price upward. Conversely, a red block indicates a bearish rejection (resistance zone), where sellers overpowered buyers, potentially driving the price lower.
Strength Analysis: The width of the green and red sections within a rejection block represents the relative bullish and bearish strengths. A wider green section indicates stronger bullish support, while a wider red section suggests more robust bearish resistance. This helps traders gauge the likelihood of price holding or breaching these levels.
Market Structure Shift (MSS) and Break of Structure (BOS): The indicator automatically detects and labels significant changes in market structure. An "MSS" label indicates the first break, suggesting a potential shift in trend direction. A "BOS" label indicates a subsequent confirmation in trend direction, allowing traders to recognize potential trend continuations.
Violation Check: Traders can choose how to interpret breaks of these rejection blocks. Using the "Close" option provides a more conservative approach, requiring a close beyond the level for confirmation. The "Wick" option is more aggressive, treating any wick beyond the level as a break.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Inversion Fair Value Gap Oscillator | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Inversion Fair Value Gap Oscillator (IFVG Oscillator) indicator! This unique indicator identifies and tracks Inversion Fair Value Gaps (IFVGs) in price action, presenting them in an oscillator format to reveal market momentum based on IFVG strength. It highlights bullish and bearish IFVGs while enabling traders to adjust detection sensitivity and apply volume and ATR-based filters for more precise setups. For more information about the process, check the "📌 HOW DOES IT WORK" section.
Features of the new IFVG Oscillator:
Fully Customizable FVG & IFVG Detection
An Oscillator Approach To IFVGs
Divergence Markers For Potential Reversals
Alerts For Divergence Labels
Customizable Styling
📌 HOW DOES IT WORK?
Fair Value Gaps are price gaps within bars that indicate inefficiencies, often filled as the market retraces. An Inversion Fair Value Gap is created in the opposite direction once a FVG gets invalidated. The IFVG Oscillator scans historical bars to identify these gaps, then filters them based on ATR or volume. Each IFVG is marked as bullish or bearish according to the opposite direction of the original FVG that got invalidated.
An oscillator is calculated using recent IFVGs with this formula :
1. The Oscillator starts as 0.
2. When a new IFVG Appears, it contributes (IFVG Width / ATR) to the oscillator of the corresponding type.
3. Each confirmed bar, the oscillator is recalculated as OSC = OSC * (1 - Decay Coefficient)
The oscillator aggregates and decays past IFVGs, allowing recent IFVG activity to dominate the signal. This approach emphasizes current market momentum, with oscillations moving bullish or bearish based on IFVG intensity. Divergences are marked where IFVG oscillations suggest potential reversals. Bullish Divergence conditions are as follows :
1. The current candlestick low must be the lowest of last 25 bars.
2. Net Oscillator (Shown in gray line by default) must be > 0.
3. The current Bullish IFVG Oscillator value should be no more than 0.1 below the highest value from the last 25 bars.
Traders can use divergence signals to get an idea of potential reversals, and use the Net IFVG Oscillator as a trend following marker.
🚩 UNIQUENESS
The Inversion Fair Value Gap Oscillator stands out by converting IFVG activity into an oscillator format, providing a momentum-based visualization of IFVGs that reveals market sentiment dynamically. Unlike traditional indicators that statically mark IFVG zones, the oscillator decays older IFVGs over time, showing only the most recent, relevant activity. This approach allows for real-time insight into market conditions and potential reversals based on oscillating IFVG strength, making it both intuitive and powerful for momentum trading.
Another unique feature is the combination of customizable ATR and volume filters, letting traders adapt the indicator to match their strategy and market type. You can also set-up alerts for bullish & bearish divergences.
⚙️ SETTINGS
1. General Configuration
Decay Coefficient -> The decay coefficient for oscillators. Increasing this setting will result in oscillators giving the weight to recent IFVGs, while decreasing it will distribute the weight equally to the past and recent IFVGs.
2. Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Inversion Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for IFVG Zone Invalidation.
4. Style
Divergence Labels On -> You can switch divergence labels to show up on the chart or the oscillator plot.
Rainbow EMA Areas with Volatility HighlightThe indicator provides traders with an enhanced visual tool to observe price movements, trend strength, and market volatility on their charts. It combines multiple EMAs (Exponential Moving Averages) with color-coded areas to indicate the market’s directional bias and a high-volatility highlight for detecting times of increased market activity.
Explanation of Key Components
Multiple EMAs (Exponential Moving Averages):
Six different EMAs are calculated for various periods (15, 45, 100, 150, 200, 300).
Each EMA period represents a different timeframe, from short-term to long-term trends, providing a well-rounded view of price behavior across different market cycles.
The EMAs are color-coded for easy differentiation:
Green shades indicate bullish trends when prices are above the EMAs.
Red shades indicate bearish trends when prices are below the EMAs.
The space between each EMA is filled with a gradient color, creating a "wave" effect that helps identify the market’s overall direction.
ATR-Based Volatility Detection:
The ATR (Average True Range), a measure of market volatility, is used to assess how much the price is fluctuating. When volatility is high, price movements are typically more significant, indicating potential trading opportunities or times to exercise caution.
The indicator calculates ATR and uses a customizable multiplier to set a high-volatility threshold.
When the ATR exceeds this threshold, it signals that the market is experiencing high volatility.
Visual High Volatility Highlight:
A yellow background appears on the chart during periods of high volatility, giving a subtle but clear visual indication that the market is active.
This highlight helps traders spot potential breakout areas or increased activity zones without obstructing the EMA areas.
Volatility Signal Markers:
Small, red triangular markers are plotted above price bars when high volatility is detected, marking these areas for additional emphasis.
These signals serve as alerts to help traders quickly recognize high volatility moments where price moves may be stronger.
How to Use This Indicator
Identify Trends Using EMA Areas:
Bullish Trend: When the price is above most or all EMAs, and the EMA areas are colored in shades of green, it indicates a strong bullish trend. Traders might look for buy opportunities in this scenario.
Bearish Trend: When the price is below most or all EMAs, and the EMA areas are colored in shades of red, it signals a bearish trend. This condition can suggest potential sell opportunities.
Consolidation or Neutral Trend: If the price is moving within the EMA bands without a clear green or red dominance, the market may be in a consolidation phase. This period often precedes a breakout in either direction.
Volatility-Based Entries and Exits:
High Volatility Areas: The yellow background and red triangular markers signal high-volatility areas. This information can be valuable for identifying potential breakout points or strong moves.
Trading in High Volatility: During high-volatility phases, the market may experience rapid price changes, which can be ideal for breakout trades. However, high volatility also involves higher risk, so traders may adjust their strategies accordingly (e.g., setting wider stops or adjusting position sizes).
Trading in Low Volatility: When the yellow background and markers are absent, volatility is lower, indicating a calmer market. In these times, traders may choose to look for range-bound trading opportunities or wait for the next trend to develop.
Combining with Other Indicators:
This indicator works well in combination with momentum or oscillating indicators like RSI or MACD, providing a well-rounded view of the market.
For example, if the indicator shows a bullish EMA area with high volatility, and an RSI is trending up, it could be a stronger buy signal. Conversely, if the indicator shows a bearish EMA area with high volatility and RSI is trending down, this could be a stronger sell signal.
Practical Trading Examples
Bullish Trend in High Volatility:
Price is above the EMAs, showing green EMA areas, and the high volatility background is active.
This indicates a strong bullish trend with significant price movement potential.
A trader could look for breakout or continuation entries in the direction of the trend.
Bearish Reversal Signal:
Price crosses below the EMAs, showing red EMA areas, while high volatility is also detected.
This suggests that the market may be reversing to a bearish trend with increased price movement.
Traders could consider taking short positions or setting stops on existing long trades.
This indicator is designed to provide a rich visual experience, making it easy to spot trends, consolidations, and volatility zones at a glance. It is best used by traders who benefit from visual cues and who seek a quick understanding of both trend direction and market activity. Let me know if you'd like further customization or additional functionalities!
