GocchiMulti-Indicator: RSI & Moving Averages
This versatile TradingView indicator combines two essential tools for technical analysis—Relative Strength Index (RSI) and Moving Averages (MAs)—into one comprehensive solution. It is designed for traders seeking flexibility, customization, and efficiency in their charting experience.
Features:
Relative Strength Index (RSI):
Customizable RSI length.
Adjustable overbought and oversold levels.
Selectable source input (e.g., close, open, high, low).
Visual levels for overbought and oversold zones, aiding in quick trend and momentum identification.
Three Moving Averages:
Three independently customizable moving averages.
Options for Simple Moving Average (SMA) or Exponential Moving Average (EMA) for each line.
Adjustable lengths for short-, medium-, and long-term trend tracking.
Visual Enhancements:
Clear, color-coded plots for RSI and each moving average.
Overbought and oversold zones are highlighted with horizontal dotted lines.
Alerts:
Get notified when RSI crosses above the overbought level or below the oversold level.
Alerts help traders stay on top of potential market reversals or breakout opportunities.
Use Cases:
RSI Analysis: Spot overbought or oversold conditions to identify potential reversals.
Trend Following: Use moving averages to confirm trends or identify crossovers for potential entry and exit points.
Custom Strategies: Tailor the settings to fit specific trading styles, such as scalping, swing trading, or long-term investing.
This all-in-one indicator streamlines your analysis by reducing the need for multiple overlays, making your charts cleaner and more actionable. Whether you're a novice or an experienced trader, this tool provides the flexibility and insights you need to succeed in any market condition.
Medie mobili
BBSS+This Pine Script implements a custom indicator overlaying Bollinger Bands with additional features for trend analysis using Exponential Moving Averages (EMAs). Here's a breakdown of its functionality:
Bollinger Bands:
The script calculates the Bollinger Bands using a 20-period Simple Moving Average (SMA) as the basis and a multiplier of 2 for the standard deviation.
It plots the Upper Band and Lower Band in red.
EMA Calculations:
Three EMAs are calculated for the close price with periods of 5, 10, and 40.
The EMAs are plotted in green (5-period), cyan (10-period), and orange (40-period) to distinguish between them.
Trend Detection:
The script determines bullish or bearish EMA alignments:
Bullish Order: EMA 5 > EMA 10 > EMA 40.
Bearish Order: EMA 5 < EMA 10 < EMA 40.
Entry Signals:
Long Entry: Triggered when:
The close price crosses above the Upper Bollinger Band.
The Upper Band is above its 5-period SMA (indicating momentum).
The EMAs are in a bullish order.
Short Entry: Triggered when:
The close price crosses below the Lower Bollinger Band.
The Lower Band is below its 5-period SMA.
The EMAs are in a bearish order.
Trend State Tracking:
A variable tracks whether the market is in a Long or Short trend based on conditions:
A Long trend continues unless conditions for a Short Entry are met or the Upper Band dips below its average.
A Short trend continues unless conditions for a Long Entry are met or the Lower Band rises above its average.
Visual Aids:
Signal Shapes:
Triangle-up shapes indicate Long Entry points below the bar.
Triangle-down shapes indicate Short Entry points above the bar.
Bar Colors:
Green bars indicate a Long trend.
Red bars indicate a Short trend.
This script combines Bollinger Bands with EMA crossovers to generate entry signals and visualize market trends, making it a versatile tool for identifying momentum and trend reversals.
Dynamic Market ScannerDynamic Market Scanner is a powerful tool for analyzing financial markets, combining a variety of indicators to provide clear and understandable signals.
Key Features:
- Signal Generation:
The main signals "Buy", "Sell", and "Hold" are formed based on the analysis of indicators:
- MACD
- RSI
- SMA
- EMA
- WMA
- Hull MA
Additional Analytical Tools:
- ATR is used to assess volatility and helps to understand the risk of the current market situation.
- SMA Ichimoku does not generate signals but is used to assess their accuracy.
- If the price is above the SMA, "Buy" signals are more likely, as this confirms the strength of the upward movement.
- If the price is below the SMA, "Buy" signals require additional confirmations.
Dashboard:
Displays the current price position relative to the indicators, helping the trader understand how strong or weak the current signals are.
Advantages of Using:
1. Signal Filtering:
The price position relative to the SMA Ichimoku helps to assess the likelihood of successful trades.
2. Volatility Analysis:
ATR provides additional information about risks and market fluctuations.
3. Comprehensive Approach:
Signal generation is based on a combination of key indicators, offering a multifaceted view of the market.
Explanation of Percent Calculation in the Table:
- The table shows the values of indicators such as MACD, ATR, EMA, SMA, WMA, and Hull MA in percentages. Percentages are calculated based on the current value of the indicator relative to its maximum and minimum.
- Percentages are displayed for each indicator, allowing traders to assess market conditions based on their current values.
Dynamic Market Scanner will become a reliable assistant in your technical analysis toolkit, providing a comprehensive overview of market conditions and helping to make informed trading decisions.
HMA Buy Sell Signals - Profit ManagerNote : Settings should be adjusted according to the selected time frame. Try to find the best setting according to the profitability rate
Overall Functionality
This script combines several trading tools to create a comprehensive system for trend analysis, trade execution, and performance tracking. Users can identify market trends using specific moving averages and RSI indicators while managing profit and loss levels automatically.
Trend Detection and Trade Signals
Hull Moving Averages (HMA):
Two HMAs (a faster one and a slower one) are used to determine the market trend.
A buy signal is generated when the faster HMA crosses above the slower HMA.
Conversely, a sell signal is triggered when the faster HMA crosses below the slower one.
Visual Feedback:
Trend lines on the chart change color to reflect the trend direction (e.g., green for upward trends and red for downward trends).
Trade Levels and Management
Entry, Take-Profit, and Stop-Loss Levels:
When the trend shifts upwards, the script calculates entry, take-profit, and stop-loss levels based on the opening price.
Similarly, for downward trends, these levels are determined for short trades.
Commission Tracking:
Each trade includes a commission cost, which is factored into net profit and loss calculations.
Dynamic Labels:
Entry, take-profit, and stop-loss levels are visually marked on the chart for easier tracking.
Performance Tracking
Profit and Loss Tracking:
The script keeps a running total of profits, losses, and commissions for both long and short trades.
It also calculates the net profit after all costs are considered.
Performance Table:
A table is displayed on the chart summarizing:
The number of trades.
Total profit and loss for long and short positions.
Commission costs.
Net profit.
Fractal Support and Resistance
Dynamic Lines:
The script identifies the most recent significant highs and lows using fractals.
It draws support and resistance lines that automatically update as new fractals form.
Simplified Visuals:
The chart always shows the last two support and resistance lines, keeping the visualization clean and focused.
RSI-Based Signals
Overbought and Oversold Levels:
RSI is used to identify overbought (above 80) and oversold (below 20) conditions.
The script generates buy signals at oversold levels and sell signals at overbought levels.
Chart Indicators:
Arrows and labels appear on the chart to highlight these RSI-based opportunities.
Customization
The script allows users to customize key parameters such as:
Moving average lengths for trend detection.
Take-profit and stop-loss percentages.
Timeframes for backtesting.
Starting capital and commission rates.
Conclusion
This script is a versatile tool for traders, combining trend detection, automated trade management, and visual feedback. It simplifies decision-making by providing clear signals and tracking performance metrics, making it suitable for both beginners and experienced traders.
* The most recently drawn fractals represent potential support and resistance levels. If the price aligns with these levels at the time of entering a trade, it may indicate a likelihood of reversal. In such cases, it’s advisable to either avoid entering the trade altogether or proceed with increased caution.
Price Action Health CheckThis is a price action indicator that measures market health by comparing EMAs, adapting automatically to different timeframes (Weekly/Daily more reliable) and providing context-aware health status.
Key features:
Automatically adjusts EMA periods based on timeframe
Measures price action health through EMA separation and historical context
Provides visual health status with clear improvement/deterioration signals
Projects a 13-period trend line for directional context
Trading applications:
Identify shifts in market health before major trend changes
Validate trend strength by comparing current readings to historical averages
Time entries/exits based on health status transitions
Filter trades using timeframe-specific health readings
I like to use it to keep SPX in check before deciding the market is going down.
Note: For optimal analysis, use primarily on Weekly and Daily timeframes where price action patterns are more significant.
Snipe 1-Minute IntradayPurpose
This script demonstrates a simple intraday approach using RSI, EMAs, VWAP, and an optional volume filter. It plots visual buy (bullish) and sell (bearish) signals on the chart under certain conditions. You can use it as a starting point to explore or develop your own intraday strategies.
Key Features
1. VWAP (Volume Weighted Average Price)
Plots the built-in VWAP for additional context on intraday price action.
2. EMA Crossover
Uses two EMAs (fast and slow). A bullish signal triggers when the fast EMA is above the slow EMA, and a bearish signal triggers when the fast EMA is below the slow EMA.
3. RSI Momentum Filter
An RSI reading above 50 indicates bullish momentum; below 50 indicates bearish momentum.
4. Volume Filter (Optional)
Compares the current bar’s volume against the average volume (over a user-defined period). When enabled, signals only appear if the current volume exceeds the average.
5. Time Window (Optional)
Allows you to define a specific time window (e.g., the first hour of trading) for valid signals. You can enable or disable this filter and set your preferred time zone.
How the Signals Are Generated
• Bullish Signal
o Occurs when:
1. Price is above VWAP.
2. Fast EMA is above Slow EMA.
3. RSI is above 50.
4. (Optional) Current volume exceeds the average volume if the volume filter is enabled.
5. (Optional) The chart’s timestamp is within the specified session if the time filter is enabled.
A green triangle is plotted below the bar, and an optional background highlight is shown.
• Bearish Signal
Occurs when the conditions are inverted (price below VWAP, fast EMA below slow EMA, RSI below 50, volume filter and time window—if enabled—are satisfied).
A red triangle is plotted above the bar, and an optional background highlight is shown.
How to Use
1. Load on a 1-Minute Chart (Recommended)
This script is intended for intraday timeframes (specifically 1-minute). Feel free to experiment with other timeframes.
2. Adjust Inputs
You can modify the RSI length, EMA lengths, and volume lookback to suit your preferences or trading style.
If you prefer signals outside the default session hours, turn off “Use Time Filter for Signals?” or change the session window and time zone.
3. Enable or Disable Volume Filter
Turn this on if you only want signals during higher-than-average volume bars.
4. Combine with Other Analysis
This script can be used as a visual tool; however, it is not a complete trading system by itself. Consider additional technical or fundamental analysis to validate your trading decisions.
5. Risk Management
Always practice sound risk management. Setting appropriate stop-losses or using position sizing techniques can help manage potential losses.
Important Notes and Disclaimers
• Educational Only: This script is for demonstration and educational purposes and does not guarantee future results.
• No Financial Advice: Nothing here should be construed as financial or investment advice. Always do your own research and consider consulting a qualified financial professional.
• Test Before Using Live: If you plan to incorporate this script into a strategy, backtest it on historical data and consider forward-testing on a demo account.
• License: This code is subject to the Mozilla Public License 2.0.
MA Distance with StdDev BandsThis Pine Script indicator calculates and visualizes the percentage deviation from a moving average with dynamic standard deviation bands. Here's what it does:
Key Features
Calculates the percentage difference between current price and a user-selected moving average (SMA, EMA, or VWMA)
Computes standard deviation bands using the entire historical dataset
Displays dynamic color changes based on price movement and band positions
Visual Components
Main line: Shows percentage deviation from the moving average
Dashed bands: Upper and lower standard deviation boundaries
Zero line: Reference for neutral position
Color signals:
Red: Price outside standard deviation bands
Green: Above MA and rising
Orange: Below MA but rising
Blue: Other conditions
13W High/Low/Fibs w/100D SMAIndicator: 13 Week High/100 Day SMA/13 Week Low with 0.382, 0.5, and 0.618 Fibonacci Levels
Description:
This indicator for TradingView, written in Pine Script version 6
It displays a table on the chart that provides a visual analysis of key price levels based on a 13-week timeframe and a 100-day Simple Moving Average (SMA).
Core Calculations:
100-Day SMA: The indicator calculates the 100-day Simple Moving Average of the closing price using daily data. The SMA is a widely used trend-following indicator.
13-Week High and Low: The indicator calculates the highest high and lowest low over the past 13 weeks using weekly data. This provides a longer-term perspective on the price range.
13-Week Fibonacci Retracement Levels: Based on the calculated 13-week high and low, the script determines the 0.382, 0.5, and 0.618 Fibonacci retracement levels.
The table includes the following information:
13W High: The highest price reached over the last 13 weeks.
100D SMA: The calculated 100-day Simple Moving Average value.
13W Low: The lowest price reached over the last 13 weeks.
Fibonacci Levels: The 0.382, 0.5, and 0.618 Fibonacci retracement levels, labeled as "↗," "|," and "↘," respectively.
SMA Ichimoku CrossesSMA Ichimoku Crosses displays the moving average between the last two crossings of the Tenkan-Sen and Kijun-Sen lines from Ichimoku Kinko Hyo. The line is calculated based on the closing prices at the time of the crossings and is added directly to the price chart, making it a convenient tool for trend analysis and identifying entry and exit points.
Features:
- Automatic calculation of Tenkan-Sen and Kijun-Sen lines.
- Fixation of closing prices at the point of line crossings.
- Calculation of the average price between the last two crossings.
- Display of a pink line on the price chart for convenient analysis.
How to use:
- Identify potential trend reversal zones by observing the line’s position relative to the price.
- Use the line as a dynamic level of support or resistance.
- Include the indicator in your Ichimoku strategies to enhance the accuracy of signals.
Suitable for:
- Traders using Ichimoku in their trading.
- Trend analysis enthusiasts.
- Those looking for additional filters for entry and exit points.
Support Resistance Major/Minor [TradingFinder] Market Structure🔵 Introduction
Support and resistance levels are key concepts in technical analysis, serving as critical points where prices pause or reverse due to the interaction of supply and demand. These foundational elements in price action and classical technical analysis assist traders in understanding market behavior and making better trading decisions.
Support levels are zones where demand is strong enough to prevent further price declines, while resistance levels act as barriers that hinder price increases.
Support and resistance levels are divided into two main types: static and dynamic. Static levels are fixed horizontal lines on charts, formed based on historical price points, and are crucial due to repeated price reactions in these areas.
Dynamic levels, on the other hand, move with market trends and are often identified using tools like moving averages and trendlines. These levels are particularly useful for analyzing dynamic trends and identifying potential reversal points in financial markets.
The importance of support and resistance in technical analysis lies in their ability to pinpoint price reversal or continuation points. Professional traders use these levels to determine optimal entry and exit points and combine them with tools such as Fibonacci retracements or moving averages for precise strategies.
Detailed analysis of price behavior at these levels provides insights into trend strength and the likelihood of price breaks or reversals. By understanding these concepts, technical analysts can forecast future price movements and optimize their trading decisions using tools such as indicators and price action. Support and resistance levels, as a cornerstone of technical analysis, form the foundation for many trading strategies.
🔵 How to Use
The Static Support and Resistance Indicator is a vital tool for identifying significant price zones in financial markets. It automatically detects major and minor support and resistance levels in both short-term and long-term intervals, enabling traders to analyze price behavior accurately and develop optimal entry and exit strategies.
🟣 Major Long-Term Support and Resistance
Major Long-Term Support : The lowest price points recorded over long-term intervals that prevent further declines.
Major Long-Term Resistance : The highest price points in long-term intervals that limit further price increases.
🟣 Minor Long-Term Support and Resistance
Minor Long-Term Support : Temporary halts in price decline within a downtrend over long-term intervals.
Minor Long-Term Resistance : Short-term zones within long-term intervals where prices react negatively in an uptrend.
🟣 Major Short-Term Support and Resistance
Major Short-Term Support : The lowest price points in short-term intervals that act as barriers against sharp price drops.
Major Short-Term Resistance : The highest points in short-term intervals that prevent further price surges.
🟣 Minor Short-Term Support and Resistance
Minor Short-Term Support : Temporary halts in price decline within short-term downtrends.
Minor Short-Term Resistance : Zones where price reacts quickly and reverses in short-term uptrends.
🔵 Settings
Long Term S&R Pivot Period : Defines the interval for identifying long-term support and resistance levels (default: 21).
Short Term S&R Pivot Period : Defines the interval for identifying short-term support and resistance levels (default: 5).
🟣 Long-Term Lines
Major Line Display : Enable/disable major long-term lines.
Minor Line Display : Enable/disable minor long-term lines.
Major Line Colors : Green for support, red for resistance (long-term major levels).
Minor Line Colors : Light green for support, light red for resistance (long-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major long-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor long-term levels.
Major Line Width : Adjust the thickness of major long-term lines.
Minor Line Width : Adjust the thickness of minor long-term lines.
🟣 Short-Term Lines
Major Line Display : Enable/disable major short-term lines.
Minor Line Display : Enable/disable minor short-term lines.
Major Line Colors : Gray-green for support, gray-red for resistance (short-term major levels).
Minor Line Colors : Dark green for support, dark red for resistance (short-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major short-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor short-term levels.
Major Line Width : Adjust the thickness of major short-term lines.
Minor Line Width : Adjust the thickness of minor short-term lines.
🔵 Conclusion
Static support and resistance levels are among the most critical tools in technical analysis, helping traders identify key reversal or continuation points.
This indicator simplifies and enhances the analysis process by automatically detecting major and minor levels in both short-term and long-term intervals. It allows traders to customize settings to suit their trading strategies and analyze different market levels effectively.
Using this indicator improves price action analysis, enhances market understanding, and identifies trading opportunities. Applicable to all trading styles, from day trading to long-term investing, it is an essential tool for technical analysis.
Combining this indicator with other tools like trendlines, Fibonacci retracements, and moving averages enables comprehensive analysis and allows traders to navigate financial markets with greater confidence.
DR Oscillator 8 * Measures price deviation: Calculates the percentage difference between the closing price and a simple moving average.
* Defines upper and lower limits: User-defined upper and lower limits determine overbought and oversold conditions.
* Signal line: A simple moving average of the deviation is plotted as a signal line.
* Deviation smoothing (optional): The deviation can be smoothed using a moving average to create a smoother line.
* Additional signal line (optional): An additional signal line can be added for further analysis.
* Visual representation: The oscillator is plotted with different colors to indicate overbought, oversold, or neutral conditions.
* Background coloring: The background color changes based on the oscillator's value to provide visual cues for buy or sell signals.
In summary:
The DR Oscillator helps traders identify potential buying and selling opportunities by measuring the extent to which a security's price has deviated from its moving average. When the oscillator moves above the upper limit, it suggests that the asset may be overbought and due for a price correction. Conversely, when it moves below the lower limit, it may indicate an oversold condition and a potential buying opportunity.
However, it's important to note that the DR Oscillator is just one tool and should be used in conjunction with other technical indicators and fundamental analysis for more accurate trading decisions.
MACD Pseudo Super Smoother [MACDPSS]The MACD Pseudo Super Smoother (MACDPSS) is a variation of the classic Moving Average Convergence Divergence (MACD) indicator. It utilizes the Pseudo Super Smoother (PSS) filter, a Finite Impulse Response (FIR) filter, to smooth both the MACD line and the signal line, providing a potentially refined representation of momentum compared to the traditional MACD which typically uses Exponential Moving Averages (EMAs).
The PSS, inspired by the Super Smoother filter (an Infinite Impulse Response (IIR) filter), aims to reduce noise while minimizing lag. The MACDPSS leverages this FIR implementation to create a unique MACD variant. The core concept of MACD, which involves analyzing the relationship between two moving averages of different lengths to identify momentum shifts, remains intact.
Filter Types and Customization
The MACDPSS offers independent control over the smoothing applied to the MACD line and the signal line through two "Filter Style" inputs:
Oscillator MA Type: This setting determines the filter type used to calculate the fast and slow moving averages that form the basis of the MACD line.
Signal Line MA Type: This setting controls the filter type used to smooth the MACD line, generating the signal line.
Each of these settings allows a choice between two distinct PSS filter types:
Type 1: Provides a smoother output with a more gradual response, characterized by greater attenuation of high-frequency components.
Type 2: Exhibits increased reactivity, allowing for a faster response to shifts in momentum, but with a potential for overshoot.
This dual-filter approach provides flexibility in tailoring the indicator's responsiveness and smoothness to individual preferences and specific market conditions. The user can, for example, choose a smoother Type 1 filter for the MACD line and a more reactive Type 2 filter for the signal line, or vice-versa.
Calculations
The MACDPSS calculates the MACD line by subtracting the slow moving average from the fast moving average, both derived using the PSS filter with the selected "Oscillator MA Type." The signal line is then calculated by applying the PSS filter with the selected "Signal Line MA Type" to the MACD line. The histogram represents the difference between the MACD line and the signal line.
Interpretation
The interpretation of the MACDPSS is similar to the standard MACD. Crossovers between the MACD line and the signal line, the position of the MACD line relative to the zero line, and the slope and direction of the histogram are all used to gauge momentum and potential trend changes.
Disclaimer
The MACDPSS, while inspired by the Super Smoother, utilizes a distinct FIR approximation (the PSS). Therefore, its behavior will not perfectly mirror that of a MACD calculated using IIR filters. The PSS is designed to be a rough approximation. This indicator should be used in conjunction with other technical analysis tools, and users should be aware of the inherent differences between FIR and IIR filter characteristics when interpreting the indicator's signals. Like any moving average based indicator, the MACDPSS is a lagging indicator, although it tries to improve it. The novelty of this indicator comes from applying a unique FIR filter to a classic momentum oscillator in a configurable way.
Pseudo Super Smoother [PSS]The Pseudo Super Smoother (PSS) is a a Finite Impulse Response (FIR) filter. It provides a smoothed representation of the underlying data. This indicator can be considered a variation of a moving average, offering a unique approach to filtering price or other data series.
The PSS is inspired by the Super Smoother filter, known for its ability to reduce noise while maintaining a relatively low delay. However, the Super Smoother is an Infinite Impulse Response (IIR) filter. The PSS attempts to approximate some characteristics of the Super Smoother using an FIR design, which offers inherent stability.
The indicator offers two distinct filter types, selectable via the "Filter Style" input: Type 1 and Type 2 . Type 1 provides a smoother output with a more gradual response to changes in the input data. It is characterized by a greater attenuation of high-frequency components. Type 2 exhibits increased reactivity compared to Type 1 , allowing for a faster response to shifts in the underlying data trend, albeit with a potential overshoot. The choice between these two types will depend on the specific application and the preference for responsiveness versus smoothness.
The PSS calculates the FIR filter coefficients based on a decaying exponential function, adjusted according to the selected filter type and the user-defined period. The filter then applies these coefficients to a window of past data, effectively creating a weighted average that emphasizes more recent data points to varying degrees. The PSS uses a specific initialization technique that uses the first non-null data point to pre-fill the input window, which helps it start right away.
The PSS is an approximation of the Super Smoother filter using an FIR design. While it try's to emulate some of the Super Smoother's smoothing characteristics, users should be aware that the frequency response and overall behavior will differ due to it being a rough approximation. The PSS should be considered an experimental indicator and used in conjunction with other analysis techniques. This is, effectively, just another moving average, but its novelty lies in its attempt to bridge the gap between FIR and IIR filter designs for a specific smoothing goal.
EMA Crossover Strategy with 50 & 200 EMAs - Faisal AnwarThis indicator uses 50 and 200-day Exponential Moving Averages (EMAs) to identify significant trend directions and potential trading opportunities through golden crossovers and death crosses. It highlights the role of EMAs as dynamic support in uptrends and downtrends, enhancing trend-following strategies.
Detailed Explanation:
EMAs Used:
The strategy utilizes two key EMAs — the 50-day EMA and the 200-day EMA. The 50-day EMA is often seen as a medium-term trend indicator, while the 200-day EMA is regarded as a benchmark for the long-term market trend.
Golden Crossover:
This occurs when the 50-day EMA crosses above the 200-day EMA, traditionally considered a bullish signal indicating potential long positions.
Death Cross:
This event is marked by the 50-day EMA crossing below the 200-day EMA, typically viewed as a bearish signal suggesting potential short positions.
Trend Support Identification:
The script also identifies when the price is above the 50-day EMA during an uptrend (indicating ongoing support) and when the price is above the 200-day EMA during a downtrend, suggesting the EMA is acting as resistance turning into support.
Visual Tools:
The indicator plots these EMAs on the chart with distinct colors for easy differentiation and uses background color changes to visually indicate when these EMAs act as support. Buy and sell signals are clearly marked with shapes and text directly on the chart for actionable insights.
Usage Tips:
Trading Decisions:
This indicator is best used in markets with clear trends, where EMAs can effectively identify shifts in momentum and serve as reliable support or resistance levels.
Complementary Tools:
Consider combining this EMA strategy with other technical analysis tools like RSI or MACD for confirmation of signals to enhance the reliability of the trading signals.
Ideal for:
Traders looking for a visual tool to assist in identifying trend directions and optimal points for entering or exiting trades based on established technical analysis principles.
Enhanced SMA Signal Box With TargetsEnhanced SMA Signal Box With Targets
The Enhanced SMA Signal Box With Targets indicator is a versatile tool designed to help traders identify buy and sell signals based on various technical analysis methods, including Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Average True Range (ATR). This indicator provides clear visual signals and target levels to assist traders in making informed decisions.
Key Features
Simple Moving Averages (SMA):
20 SMA: Represents short-term price trends.
50 SMA: Represents long-term price trends.
Exponential Moving Average (EMA):
50 EMA: Adds additional trend confirmation to the SMA.
Signal Visualization:
Buy Signals: Displayed with a green "🚀" emoji below the candle when the closing price crosses above the 20 SMA.
Sell Signals: Displayed with a red "💣" emoji above the candle when the closing price crosses below the 20 SMA.
Yellow Box: Highlights the signal candle, making it easy to identify the most recent and historical signals.
Target Prices:
First Target: Based on the size of the signal candle.
Second and Third Targets: Calculated using the ATR multiplied by a user-defined factor to help set profit-taking levels.
Customizable Filters:
MACD Filter: Users can enable this filter to use MACD line crossings for signal confirmation.
Higher Timeframe SMA Filter: Users can set a higher timeframe SMA to filter signals based on the long-term trend.
Volume Filter: Users can set a minimum volume threshold for signals.
Alerts:
Users can enable alerts for buy and sell signals, ensuring they never miss a trading opportunity.
Customizable Settings:
Line Colors and Thickness: Users can adjust the colors and thickness of the SMAs, EMA, and signal boxes.
Signal Emojis: Users can choose custom emojis for buy and sell signals.
How It Works
Trend Calculation: The indicator calculates short-term and long-term trends using the 20 SMA, 50 SMA, and 50 EMA.
Signal Generation: Buy and sell signals are generated when the price crosses the 20 SMA, with optional confirmation from MACD and volume filters.
Target Calculation: Profit targets are based on the size of the signal candle and ATR, helping traders set realistic profit-taking levels.
Important Notice
This indicator is designed for educational purposes and should not be considered as financial advice. Past performance does not guarantee future results. Users should conduct their own research and analysis before making any trading decisions. Trading involves substantial risk and is not suitable for every investor. Always consider your financial situation, investment objectives, and risk tolerance before trading. Please ensure you comply with all the relevant regulations and TradingView's house rules while using this indicator.
EMA 7/20/50/100/200This script provides a clean and efficient way to plot multiple Exponential Moving Averages (EMAs) directly on the price chart. It includes the following EMAs for enhanced trend analysis: EMA 7, EMA 20, EMA 50, EMA 100, and EMA 200. Each EMA is color-coded for easy differentiation and labeled in the legend for quick reference.
Use Case:
Short-Term Trends: Use EMA 7 and EMA 20 for analyzing short-term price movements.
Medium-Term Trends: EMA 50 helps to identify medium-term trends.
Long-Term Trends: EMA 100 and EMA 200 are essential for observing long-term market trends and significant support/resistance levels.
Features:
Overlay on the price chart for a seamless view.
Distinct color coding for each EMA:
Green (EMA 7) for very short-term trends.
Red (EMA 20) for short-term trends.
Orange (EMA 50) for medium-term trends.
Aqua (EMA 100) for long-term trends.
Blue (EMA 200) for very long-term trends.
Fully adjustable to suit your trading style.
This tool is ideal for traders and analysts looking for a quick and clear visualization of key moving averages on the chart. It aids in identifying market momentum, trend reversals, and dynamic support/resistance zones.
UM VIX status table and Roll Yield with EMA
Description :
This oscillator indicator gives you a quick snapshot of VIX, VIX futures prices, and the related VIX roll yield at a glance. When the roll yield is greater than 0, The front-month VX1 future contract is less than the next-month VX2 contract. This is called Contango and is typical for the majority of the time. If the roll yield falls below zero. This is considered backwardation where the front-month VX1 contract is higher than the value of the next-month VX2 contract. Contango is most common. When Backwardation occurs, there is usually high volatility present.
Features :
The red and green fill indicate the current roll yield with the gray line being zero.
An Exponential moving average is overlaid on the roll yield. It is red when trending down and green when trending up. If you right-click the indicator, you can set alerts for roll yield EMA color transitions green to red or red to green.
Suggested uses:
The author suggests a one hour chart using the 55 period EMA with a 60 minute setting in the indicator. This gives you a visual idea of whether the roll yield is rising or falling. The roll yield will often change directions at market turning points. For example if the roll yield EMA changes from red to green, this indicates a rising roll yield and volatility is subsiding. This could be considered bullish. If the roll yield begins falling, this indicates volatility is rising. This may be negative for stocks and indexes.
I look for short volatility positions (SVIX) when the roll yield is rising. I look for long volatility positions (VXX, UVXY, UVIX) when the roll yield begins falling. The indicator can be added to any chart. I suggest using the VX1, SPY, VIX, or other major stock index.
Set the time frame to your trading style. The default is 60 minutes. Note, the timeframe of the indicator does NOT utilize the current chart timeframe, it must be set to the desired timeframe. I manually input text on the chart indicator for understanding periods of Long and Short Volatility.
Settings and Defaults
The EMA is set to 55 by default and the table location is set to the lower right. The default time frame is 60 minutes. These features are all user configurable.
Other considerations
Sometimes the Tradingview data when a VX contract expires and another contract begins, may not transition cleanly and appear as a break on the chart. Tradingview is working on this as stated from my last request. This VX contract from one expiring contract to the next can be fixed on the price chart manually: ( Chart settings, Symbol, check the "Adjust for contract changes" box)
Observations
Pull up a one-hour chart of VX1 or SPY. Add this indicator. roll it back in time to see how the market and volatility reacts when the EMA changes from red to green and green to red. Adjust the EMA to your trading style and time frame. Use this for added confirmation of your long and short volatility trades with the Volatility ETFs SVIX, SVXY, VXX, UVXY, UVIX. or use it for long/short indexes such as SPY.
Abz Simple TrendThe goal of this indicator is to provide an "at-a-glance" trend-oriented moving averages indicator that helps with medium and long term trades and investments.
It should work on any chart timeframe but is intended for people interested in how the price is trending over longer timeframes.
Everything in the indicator is calculated against a weekly chart. This means if you're viewing it on another chart timeframe, such as the daily chart, the indicator will show the lines in the same places.
This indicator is intended to be easy enough for people without significant technical chart reading knowledge: Red means the market momentum is likely negative. Green is "bullish".
This is a lagging indicator. If you're new, this may seem like a bad thing, but markets eventually "revert to the mean". They tend to overshoot up and down from major trend lines, but eventually reconnect.
The indicator tracks 4 different moving averages:
- The Main moving average that is the thick, bright line on the chart
- The momentum line
- The 28w moving average (with smoother applied)
- The slow moving average (200w with special filters and smoother applied). This is the final mean reversion line.
The indicator is set up with multiple alerts and you can adjust everything via the settings.
Just remember that no indicator is a "cure all". You should not blindly trade based on the signals this gives out. It is not optimized to be the perfect trading bot but it will help to validate or invalidate your decisions. It's my favorite "at-a-glance" indicator, but I always look at the price action and see when the price reverses as that will occur before the indicator confirms it.
Other indicators that may help you confirm your decisions include: Volume, MACD, and RSI (especially when you understand divergences between the price action and the RSI).
Uptrick: Arbitrage OpportunityINTRODUCTION
This script, titled Uptrick: Arbitrage Monitor, is a Pine Script™ indicator that aims to help traders quickly visualize potential arbitrage scenarios across multiple cryptocurrency exchanges. Arbitrage, in general, involves taking advantage of price differences for the same asset across different trading platforms. By comparing market prices of the same symbol on two user-selected exchanges, as well as scanning a broader list of exchanges, this script attempts to signal areas where you might want to buy on one exchange and sell on another. It includes various graphical tools, calculations, and an optional Automated Detection signal feature, allowing users to incorporate more advanced data scanning into their trading decisions. Keep in mind that transaction fees must also be considered in real-world scenarios. These fees can negate potential profits and, in some cases, result in a net loss.
PURPOSE
The primary purpose of this indicator is to show potential percentage differences between the same cryptocurrency trading pairs on two different exchanges. This difference is displayed numerically, visually as a line chart, and it is also tested against user-defined thresholds. With the threshold in place, buy and sell signals can be generated. The script allows you to quickly gauge how significant a spread is between two exchanges and whether that spread surpasses a specified threshold. This is particularly useful for arbitrage trading, where an asset is bought at a lower price on one exchange and sold at a higher price on another, capitalizing on price discrepancies. By identifying these opportunities, traders can potentially secure profits across different markets.
WHY IT WAS MADE
This script was developed to help traders who frequently look for arbitrage opportunities in the fast-paced cryptocurrency market. Cryptocurrencies sometimes experience quick price divergences across different exchanges. By having an automated approach that compares and displays prices, traders can spend less time manually tracking price discrepancies and more time focusing on actual trading strategies. The script was also made with user customization in mind, allowing you to toggle an optional Automated-based approach and choose different moving average methods to smooth out the displayed price difference.
WHAT ARBITRAGE IS
Arbitrage is the practice of buying an asset on one market (or exchange) at a lower price and simultaneously selling it on another market where the price is higher, thus profiting from the price difference. In cryptocurrency markets, these price differentials can occur across multiple exchanges due to varying liquidity, trading volume, geographic factors, or market inefficiencies. Though sometimes small, these differences can be exploited for profit when approached methodically.
EXPLANATION OF INPUTS
The script includes a variety of user inputs that help tailor the indicator to your specific needs:
1. Compared Symbol 1: This is the primary symbol you want to track (for example, BTCUSDT). Make sure it's written in all capital and make sure that it's price from that exchange is available on Tradingview.
2. Compare Exchange 1: The first exchange on which the script will request pricing data for the chosen symbol.
3. Compared to Exchange: The second exchange, used for the comparison.
4. Opportunity Threshold (%): A percentage threshold that, when exceeded by the price difference, can trigger buy or sell signals.
5. Plot Style?: Allows you to choose between plotting the raw difference line or a moving average of that difference.
6. MA Type: Select among SMA, EMA, WMA, RMA, or HMA for your moving average calculation.
7. MA Length: The lookback period for the selected moving average.
8. Plot Buy/Sell Signals?: Enables or disables the plotting of arrows signaling potential buy or sell zones based on threshold crossovers.
9. Automated Detection?: Toggles an additional multi-exchange data scan feature that calculates the highest and lowest prices for the specified symbol across a predefined list of exchanges.
CALCULATIONS
At its core, the script calculates price1 and price2 using the request.security function to fetch close prices from two selected exchanges. The difference is measured as (price1 - price2) / price2 * 100. This results in a percentage that indicates how much higher or lower price1 is relative to price2. Additionally, the script calculates a slope for this difference, which helps color the line depending on whether it is trending up or down. If you choose the moving average option, the script will replace the raw difference data with one of several moving average calculations (SMA, EMA, WMA, RMA, or HMA).
The script also includes an iterative scan of up to 15 different exchanges for Automated detection, collecting the highest and lowest price across all those exchanges. If the Automated option is enabled, it compiles a potential recommendation: buy at the cheapest exchange price and sell at the most expensive one. The difference across all exchanges (allExDiffPercent) is calculated using (highestPriceAll - lowestPriceAll) / lowestPriceAll * 100.
WHAT AUTOMATED DETECTION SIGNAL DOES
If enabled, the Automated detection feature scans all 15 supported exchanges for the specified symbol. It then identifies the exchange with the highest price and the exchange with the lowest price. The script displays a recommended action: buy on the lowest-exchange price and sell on the highest-exchange price. While called “Automated,” it is essentially a multi-exchange data query that automates a portion of research by consolidating different price points. It does not replace thorough analysis or guaranteed execution; it simply provides an overview of potential extremes.
WHAT ALL-EX-DIFF IS
The variable allExDiffPercent is used to show the overall difference between the highest price and the lowest price found among the 15 pre-chosen exchanges. This figure can be useful for anyone wanting a big-picture view of how large the arbitrage spread might be across the broader market.
SIGNALS AND HOW THEY ARE GENERATED
The script provides two main modes of signal generation:
1. Raw Difference Mode: If the user chooses “Use Normal Line,” the script compares the percentage difference of the two selected exchanges (price1 and price2) to the user-defined threshold. When the difference crosses under the positive threshold, a sell signal is displayed (red arrow). Conversely, when the difference crosses above the negative threshold, a buy signal is displayed (green arrow).
2. Moving Average Mode: If the user selects “Use Moving Average,” the script instead references the moving average values (maValue). The signals fire under similar conditions but use the average line to gauge whether the threshold has been crossed.
HOW TO USE THE INDICATOR
1. Add the script to your chart in TradingView.
2. In the script’s settings panel, configure the symbol you wish to compare (for example, BTCUSDT), choose the two exchanges you want to evaluate, and set your desired threshold.
3. Optionally, pick a moving average type and length if you prefer a smoother representation of the difference.
4. Enable or disable buy/sell signals according to your preference.
5. If you’d like to see potential extremes among a broader list of exchanges, enable Automated Detection. Keep in mind that this feature runs additional security requests, so it might slow down performance on weaker devices or if you already have many scripts running.
EXCHANGES TO USE
The script currently supports up to 15 exchanges: BYBIT, BINANCE, MEXC, BLOFIN, BITGET, OKX, KUCOIN, COINBASE, COINEX, PHEMEX, POLONIEX, GATEIO, BITSTAMP, and KRAKEN. You can choose any two of these for direct comparison, and if you enable the Automated detection, it will attempt to query them all to find extremes in real time.
VISUALS
The exchanges and current prices & differences are all plotted in the table while the colored line represents the difference in the price. The two thresholds colored red are where signals are generated. A cross below the upper threshold is a sell signal and a cross above the lower threshold is a buy signal. In the line at the bottom, purple is a negative slope and aqua is a positive slope.
LIMITATIONS AND POTENTIAL PROBLEMS
If you enable too many visual elements such as signals, additional lines, and the Automated-based scanning table, you may find that your chart becomes cluttered, or text might overlap. One workaround is to remove and reapply the indicator to refresh its display. You may also want to reduce the number of displayed table rows by disabling some features if your chart becomes too crowded. Sometimes there might be an error that the price of an asset is not available on an exchange, to fix this, go and select another exchange to compare it to, or if it happens in Automated detection, choose a different asset, ideally more widely spread.
UNIQUENESS
This indicator stands out due to its multifaceted approach: it doesn’t just look at two exchanges but optionally scans up to 15 exchanges in real time, presenting users with a much broader view of the market. The dual-mode system (raw difference vs. moving average) allows for both immediate, unfiltered signals and smoother, noise-reduced signals depending on user preference. By default, it introduces dynamic visual cues through color changes when the slope of the difference transitions upward or downward. The optional Automated detection, while not a deep learning system, adds a functional intelligence layer by collating extreme price points from multiple exchanges in one place, thereby streamlining the manual research process. This combination of features gives the script a unique edge in the TradingView ecosystem, catering equally to novices wanting a straightforward approach and to advanced users looking for an aggregated multi-exchange analysis.
CONCLUSION
Uptrick: Arbitrage Monitor is a versatile and customizable Pine Script™ indicator that highlights price differences for a specified symbol between two user-selected exchanges. Through signals, threshold-based alerts, and optional Automated detection across multiple exchanges, it aims to support traders in identifying potential arbitrage opportunities quickly and efficiently. This script makes no guarantees of profitability but can serve as a valuable tool to add to your trading toolkit. Always use caution when implementing arbitrage strategies, and be mindful of market risks, exchange fees, and latency.
ADDITIONAL DISCLOSURES
This script is provided for educational and informational purposes only. It does not constitute financial advice or a guarantee of performance. Users are encouraged to conduct thorough research and consider the inherent risks of arbitrage trading. Market conditions can change rapidly, and orders may fail to execute at desired prices, especially when large price discrepancies attract competition from other traders.
Range Channel by Atilla YurtsevenThis script creates a dynamic channel around a user-selected moving average (MA). It calculates the relative difference between price and the MA, then finds the average of the positive differences and the negative differences separately. Using these averages, it plots upper and lower bands around the MA as well as a histogram-like oscillator to show when price moves above or below the average thresholds.
How It Works
Moving Average Selection
The indicator allows you to choose among multiple MA types (SMA, EMA, WMA, Linear Regression, etc.). Depending on your preference, it calculates the chosen MA for the selected lookback period.
Relative Difference Calculation
It then computes the percentage difference between the source (typically the closing price) and the MA. (diff = (src / ma - 1) * 100)
Positive & Negative Averages
- Positive differences are averaged and represent how far the price typically moves above the MA.
- Negative differences are similarly averaged for when price moves below the MA.
Range Channel & Oscillator
- The channel is plotted around the MA using the average positive and negative differences (Upper Edge and Lower Edge).
- The “Untrended” histogram plots the difference (diff). Green bars occur when price is above the MA on average, and red bars when below. Two additional lines mark the upper and lower average thresholds on this histogram.
How to Use
Identify Overbought/Oversold Zones: The upper edge can serve as a dynamic overbought level, while the lower edge can suggest potential oversold conditions. When the histogram approaches or crosses these levels, it may signal price extremes relative to its average movement.
Trend Confirmation: Compare price action relative to the channel. If price and the histogram consistently remain above the MA and upper threshold, it could indicate a stronger bullish trend. If they remain below, it might signal a prolonged bearish trend.
Entry/Exit Timings:
- Entry: Traders can look for moments when price breaks back inside the channel from an extreme, anticipating a mean reversion.
- Exit: Watching how price interacts with these dynamic edges can help define stop-loss or take-profit points.
Because these thresholds adapt over time based on actual price behavior, they can be more responsive than fixed-percentage bands. However, like all indicators, it’s most effective when used in conjunction with other technical and fundamental tools.
Disclaimer
This script is provided for educational and informational purposes only. It does not guarantee any specific outcome or profit. Use it at your own discretion and risk.
Trade smart, stay safe.
Atilla Yurtseven
Bitcoin Reversal PredictorOverview
This indicator displays two lines that, when they cross, signal a potential reversal in Bitcoin's price trend. Historically, the high or low of a bull market cycle often occurs near the moment these lines intersect. The lines consist of an Exponential Moving Average (EMA) and a logarithmic regression line fitted to all of Bitcoin's historical data.
Inspiration
The inspiration for this indicator came from the PI Cycle Top indicator, which has accurately predicted past bull market peaks. However, I believe the PI Cycle Top indicator may not be as effective in the future. In that indicator, two lines cross to mark the top, but the extent of the cross has been diminishing over time. This was especially noticeable in the 2021 cycle, where the lines barely crossed. Because of this, I created a new indicator that I think will continue to provide reliable reversal signals in the future.
How It Works
The logarithmic regression line is fitted to the Bitcoin (BTCUSD) chart using two key factors: the 'a' factor (slope) and the 'b' factor (intercept). This results in a steadily decreasing line. The EMA oscillates above and below this regression line. Each time the two lines cross, a vertical colored bar appears, indicating that Bitcoin's price momentum is likely to reverse.
Use Cases
- Price Bottoming:
Bitcoin often bottoms out when the EMA crosses below the logarithmic regression line.
- Price Topping:
In contrast, Bitcoin often peaks when the EMA crosses above the logarithmic regression line.
- Profitable Strategy:
Trading at the crossovers of these lines can be a profitable strategy, as these moments often signal significant price reversals.
IU Higher Timeframe MA Cross StrategyIU Higher Timeframe MA Cross Strategy
The IU Higher Timeframe MA Cross Strategy is a versatile trading tool designed to identify trend by utilizing two customizable moving averages (MAs) across different timeframes and types. This strategy includes detailed entry and exit rules with fully configurable inputs, offering flexibility to suit various trading styles.
Key Features:
- Two moving averages (MA1 and MA2) with customizable types, lengths, sources, and timeframes.
- Both long and short trade setups based on MA crossovers.
- Integrated risk management with adjustable stop-loss and take-profit levels based on a user-defined risk-to-reward (RTR) ratio.
- Clear visualization of MAs, entry points, stop-loss, and take-profit zones.
Inputs:
1. Risk-to-Reward Ratio (RTR):
- Defines the take-profit level in relation to the stop-loss distance. Default is 2.
2. MA1 Settings:
- Source: Select the data source for calculating MA1 (e.g., close, open, high, low). Default is close.
- Timeframe: Specify the timeframe for MA1 calculation. Default is 60 (60-minute chart).
- Length: Set the lookback period for MA1 calculation. Default is 20.
- Type: Choose the type of moving average (options: SMA, EMA, SMMA, WMA, VWMA). Default is EMA.
- Smooth: Option to enable or disable smoothing of MA1 to merge gaps. Default is true.
3. MA2 Settings:
- Source: Select the data source for calculating MA2 (e.g., close, open, high, low). Default is close.
- Timeframe: Specify the timeframe for MA2 calculation. Default is 60 (60-minute chart).
- Length: Set the lookback period for MA2 calculation. Default is 50.
- Type: Choose the type of moving average (options: SMA, EMA, SMMA, WMA, VWMA). Default is EMA.
- Smooth: Option to enable or disable smoothing of MA2 to merge gaps. Default is true.
Entry Rules:
- Long Entry:
- Triggered when MA1 crosses above MA2 (crossover).
- Entry is confirmed only when the bar is closed and no existing position is active.
- Short Entry:
- Triggered when MA1 crosses below MA2 (crossunder).
- Entry is confirmed only when the bar is closed and no existing position is active.
Exit Rules:
- Stop-Loss:
- For long positions: Set at the low of the bar preceding the entry.
- For short positions: Set at the high of the bar preceding the entry.
- Take-Profit:
- For long positions: Calculated as (Entry Price - Stop-Loss) * RTR + Entry Price.
- For short positions: Calculated as Entry Price - (Stop-Loss - Entry Price) * RTR.
Visualization:
- Plots MA1 and MA2 on the chart with distinct colors for easy identification.
- Highlights stop-loss and take-profit levels using shaded zones for clear visual representation.
- Displays the entry level for active positions.
This strategy provides a robust framework for traders to identify and act on trend reversals while maintaining strict risk management. The flexibility of its inputs allows for seamless customization to adapt to various market conditions and trading preferences.
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
