Half Trend Regression [AlgoAlpha]Introducing the Half Trend Regression indicator by AlgoAlpha, a cutting-edge tool designed to provide traders with precise trend detection and reversal signals. This indicator uniquely combines linear regression analysis with ATR-based channel offsets to deliver a dynamic view of market trends. Ideal for traders looking to integrate statistical methods into their analysis to improve trade timing and decision-making.
Key Features
🎨 Customizable Appearance : Adjust colors for bullish (green) and bearish (red) trends to match your charting preferences.
🔧 Flexible Parameters : Configure amplitude, channel deviation, and linear regression length to tailor the indicator to different time frames and trading styles.
📈 Dynamic Trend Line : Utilizes linear regression of high, low, and close prices to calculate a trend line that adapts to market movements.
🚀 Trend Direction Signals : Provides clear visual signals for potential trend reversals with plotted arrows on the chart.
📊 Adaptive Channels : Incorporates ATR-based channel offsets to account for market volatility and highlight potential support and resistance zones.
🔔 Alerts : Set up alerts for bullish or bearish trend changes to stay informed of market shifts in real-time.
How to Use
🛠 Add the Indicator : Add the Half Trend Regression indicator to your chart from the TradingView library. Access the settings to customize parameters such as amplitude, channel deviation, and linear regression length to suit your trading strategy.
📊 Analyze the Trend : Observe the plotted trend line and the filled areas under it. A green fill indicates a bullish trend, while a red fill indicates a bearish trend.
🔔 Set Alerts : Use the built-in alert conditions to receive notifications when a trend reversal is detected, allowing you to react promptly to market changes.
How It Works
The Half Trend Regression indicator calculates linear regression lines for the high, low, and close prices over a specified period to determine the general direction of the market. It then computes moving averages and identifies the highest and lowest points within these regression lines to establish a dynamic trend line. The trend direction is determined by comparing the moving averages and previous price levels, updating as new data becomes available. To account for market volatility, the indicator calculates channels above and below the trend line, offset by a multiple of half the Average True Range (ATR). These channels help visualize potential support and resistance zones. The area under the trend line is filled with color corresponding to the current trend direction—green for bullish and red for bearish. When the trend direction changes, the indicator plots arrows on the chart to signal a potential reversal, and alerts can be set up to notify you. By integrating linear regression and ATR-based channels, the indicator provides a comprehensive view of market trends and potential reversal points, aiding traders in making informed decisions.
Enhance your trading strategy with the Half Trend Regression indicator by AlgoAlpha and gain a statistical edge in the markets! 🌟📊
תנודתיות
Implied Fair Value Gap (IFVG) ICT [TradingFinder] Hidden FVG OTE🔵 Introduction
The Implied Fair Value Gap (IFVG) is distinctive due to its unique three-candlestick formation, which differentiates it from conventional Fair Value Gaps.
Implied fair value represents an estimated worth of an asset—often a business or its goodwill—based on the price likely to be received in a structured transaction between market participants at a specific point in time.
In the ever-evolving world of technical analysis, pinpointing price reversal points and market anomalies can significantly enhance trading strategies and decision-making for traders and investors. Among the advanced concepts gaining traction in this field is the Implied Fair Value Gap (IFVG), introduced by the renowned analyst Inner Circle Trader (ICT).
This tool has proven to be an effective method for identifying hidden supply and demand zones in financial markets, offering a unique edge to traders looking for high-probability setups.
Unlike traditional gaps that are visible on price charts, IFVG is a hidden gap that doesn’t appear explicitly on the chart and thus requires specialized technical analysis tools for accurate identification.
This hidden gap can signal potential price reversals and offers traders insight into high-liquidity areas where price is likely to react. This article will guide you through using the ICT Implied Fair Value Gap Indicator effectively, covering its settings, usage strategies, and key features to help you make informed decisions in the market.
🟣 Bullish Implied FVG
🟣 Bearish Implied FVG
🔵 How to Use
The IFVG indicator is designed to assist traders in recognizing hidden support and resistance zones by identifying Bullish and Bearish IFVG patterns. With this tool, traders can make better-informed decisions about suitable entry and exit points for their trades based on these patterns.
🟣 Bullish Implied Fair Value Gap
This pattern occurs in an uptrend when a large bullish candlestick forms, with the wicks of the previous and following candles overlapping the body of the central candlestick.
This overlap creates a demand zone or a hidden support level, which can act as an ideal entry point for buy trades. Often, when the price returns to this area, it is likely to resume its upward trend, presenting a profitable buying opportunity.
🟣 Bearish Implied Fair Value Gap
This pattern is similar but forms in downtrends. Here, a large bearish candlestick appears on the chart, with the wicks of adjacent candles overlapping its body. This overlap defines a supply zone or a hidden resistance level and serves as a signal for potential sell trades.
When the price returns to this zone, it often continues its downward trend, providing an optimal point for entering sell trades.
The IFVG indicator also includes various filters that traders can use to refine their analysis based on market conditions. These filters, including Very Aggressive, Aggressive, Defensive, and Very Defensive, allow users to customize the IFVG zones' width, offering flexibility according to the trader’s risk tolerance and trading style.
🟣 Example Trading Scenarios
Suppose you’re in a strong uptrend and the IFVG indicator identifies a Bullish IFVG zone. In this scenario, you could consider entering a buy trade when the price retraces to this zone, expecting the uptrend to resume. Conversely, in a downtrend, a Bearish IFVG zone can signal a favorable entry point for short trades when the price revisits this area.
🔵 Settings
Implied Block Validity Period: This parameter specifies the validity period of each identified block, taking into account the number of bars that have passed since its formation. Proper adjustment of this period helps traders focus only on relevant zones, increasing the accuracy of the analysis.
Mitigation Level OB : This option defines the mitigation level for supply and demand blocks (Order Blocks), with settings including Proximal, 50% OB, and Distal.
Depending on the selected level, the indicator will focus on closer, mid-range, or farther points for block identification, allowing traders to adjust for the level of precision required.
Implied Filter : Activating this filter allows traders to apply conditions based on the width of the IFVG zones. With options like Very Aggressive and Very Defensive, traders can control the width of IFVG zones to suit their risk management strategy—whether they prefer high-risk setups or low-risk setups.
Display and Color Settings : This section enables users to customize the appearance of the IFVG zones on their charts. Traders can set different colors for Bullish and Bearish zones, allowing for easier distinction and improved visualization.
Alert Settings : One of the standout features of the IFVG indicator is the alert system. By setting up alerts, users can be notified whenever the price approaches a demand or supply zone.
Alerts can be customized to trigger Once Per Bar (one alert per bar) or Per Bar Close (alert at the close of each bar), ensuring that traders stay updated on critical price movements without needing to monitor the chart continuously.
🔵 Conclusion
The ICT Implied Fair Value Gap (IFVG) indicator is a powerful and sophisticated tool in technical analysis, allowing professional traders to identify hidden supply and demand zones and use them as entry and exit points for buy and sell trades.
This indicator’s automatic detection of IFVG zones helps traders uncover hidden trading opportunities that can enhance their analysis.
While the IFVG indicator offers numerous advantages, it is important to use it in conjunction with other technical analysis tools and sound risk management practices.
IFVG alone does not guarantee profitability in trading; it works best when combined with other indicators such as volume analysis and trend-following indicators for a comprehensive trading strategy.
Fibonacci + RSI Trading Strategy with Fibonacci Extensions (M15)
This script combines Fibonacci levels and custom RSI thresholds to provide a comprehensive analysis of potential reversal zones under specific market conditions. It is designed to work exclusively on 15-minute (M15) charts, delivering signals based on defined configurations and time-based conditions.
### Key Features:
1. **RSI Indicator with Custom Thresholds**:
- The script uses an RSI (Relative Strength Index) with custom thresholds of 75 for overbought and 20 for oversold.
- It also includes overbought and oversold confirmations over a 30-minute period (i.e., 2 M15 bars), with RSI values of 70 and 30, respectively, to strengthen signal validity.
2. **Fibonacci Levels and Extensions**:
- The script calculates Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100%) based on the last 50 bars.
- Fibonacci extensions are also plotted at the 1.618 and 2.618 levels, providing additional zones for continuation or potential reversals.
3. **Buy and Sell Signals**:
- A **buy signal** is generated when the RSI is below 20, the RSI remains below 30 for at least 30 minutes, and the price reaches the 61.8% Fibonacci level.
- A **sell signal** is generated when the RSI is above 75, the RSI remains above 70 for at least 30 minutes, and the price reaches the 50% Fibonacci level.
- These conditions enable a targeted approach to capture potential trend reversals.
4. **Display and Plotting**:
- Fibonacci levels are plotted on the chart in different colors to distinguish them, with key levels (50%) in red and entry levels (61.8%) in green.
- Extensions are displayed in yellow to indicate potential continuation levels.
- Buy and sell signals are marked with "BUY" and "SELL" icons above or below bars when the conditions are met.
- The RSI is also shown in a sub-window to track its values relative to thresholds.
### Usage:
This script is designed for scalping or swing trading on M15 charts. Users can adjust RSI thresholds to fine-tune the conditions to suit their trading style. The script offers multi-criteria analysis based on key Fibonacci levels and time-based RSI confirmations to support potential entry and exit points.
BB Buy SellBollinger Bantları kullanarak alım ve satım sinyalleri tespit etmelerine yardımcı olur.
Bollinger Bantları:
Üst Bollinger Bandı (Upper Bollinger Band): Fiyatın üst sınırını belirler. Fiyat bu bandın üstüne çıktığında aşırı alım durumu olabilir.
Alt Bollinger Bandı (Lower Bollinger Band): Fiyatın alt sınırını belirler. Fiyat bu bandın altına düştüğünde aşırı satım durumu olabilir.
Orta Bandı (Basis): 20 periyotluk Basit Hareketli Ortalama (SMA) kullanılarak hesaplanır. Bu, fiyatın orta noktasıdır.
Alım ve Satım Sinyalleri:
Fiyat, orta bandı yukarı doğru keserse (crossover), bu bir "al" sinyali olarak değerlendirilir ve küçük yeşil üçgenlerle gösterilir.
Fiyat, orta bandı aşağı doğru keserse (crossunder), bu bir "sat" sinyali olarak değerlendirilir ve küçük kırmızı üçgenlerle gösterilir.
İkinci Mumda Arka Plan Rengi:
Fiyat orta bandı kesip iki mum sonra, ilgili sinyal mavi arka plan rengiyle vurgulanır. Bu, yatırımcılara ek bir görsel ipucu sağlar.
Bollinger Bantlarını Plotlama:
Üst, alt ve orta Bollinger bantları grafikte farklı renklerde gösterilir. (Üst bant kırmızı, alt bant yeşil, orta bant mavi)
Bu gösterge, yatırımcılara grafik üzerinde alım ve satım noktalarını daha kolay belirlemelerine yardımcı olur ve fiyat hareketlerini daha net bir şekilde görselleştirir.
Fibonacci ATR Fusion - Strategy [presentTrading]Open-script again! This time is also an ATR-related strategy. Enjoy! :)
If you have any questions, let me know, and I'll help make this as effective as possible.
█ Introduction and How It Is Different
The Fibonacci ATR Fusion Strategy is an advanced trading approach that uniquely integrates Fibonacci-based weighted averages with the Average True Range (ATR) to identify and capitalize on significant market trends.
Unlike traditional strategies that rely on single indicators or static parameters, this method combines multiple timeframes and dynamic volatility measurements to enhance precision and adaptability. Additionally, it features a 4-step Take Profit (TP) mechanism, allowing for systematic profit-taking at various levels, which optimizes both risk management and return potential in long and short market positions.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
The Fibonacci ATR Fusion Strategy utilizes a combination of technical indicators and weighted averages to determine optimal entry and exit points. Below is a breakdown of its key components and operational logic.
🔶 1. Enhanced True Range Calculation
The strategy begins by calculating the True Range (TR) to measure market volatility accurately.
TR = max(High - Low, abs(High - Previous Close), abs(Low - Previous Close))
High and Low: Highest and lowest prices of the current trading period.
Previous Close: Closing price of the preceding trading period.
max: Selects the largest value among the three calculations to account for gaps and limit movements.
🔶 2. Buying Pressure (BP) Calculation
Buying Pressure (BP) quantifies the extent to which buyers are driving the price upwards within a period.
BP = Close - True Low
Close: Current period's closing price.
True Low: The lower boundary determined in the True Range calculation.
🔶 3. Ratio Calculation for Different Periods
To assess the strength of buying pressure relative to volatility, the strategy calculates a ratio over various Fibonacci-based timeframes.
Ratio = 100 * (Sum of BP over n periods) / (Sum of TR over n periods)
n: Length of the period (e.g., 8, 13, 21, 34, 55).
Sum of BP: Cumulative Buying Pressure over n periods.
Sum of TR: Cumulative True Range over n periods.
This ratio normalizes buying pressure, making it comparable across different timeframes.
🔶 4. Weighted Average Calculation
The strategy employs a weighted average of ratios from multiple Fibonacci-based periods to smooth out signals and enhance trend detection.
Weighted Avg = (w1 * Ratio_p1 + w2 * Ratio_p2 + w3 * Ratio_p3 + w4 * Ratio_p4 + Ratio_p5) / (w1 + w2 + w3 + w4 + 1)
w1, w2, w3, w4: Weights assigned to each ratio period.
Ratio_p1 to Ratio_p5: Ratios calculated for periods p1 to p5 (e.g., 8, 13, 21, 34, 55).
This weighted approach emphasizes shorter periods more heavily, capturing recent market dynamics while still considering longer-term trends.
🔶 5. Simple Moving Average (SMA) of Weighted Average
To further smooth the weighted average and reduce noise, a Simple Moving Average (SMA) is applied.
Weighted Avg SMA = SMA(Weighted Avg, m)
- m: SMA period (e.g., 3).
This smoothed line serves as the primary signal generator for trade entries and exits.
🔶 6. Trading Condition Thresholds
The strategy defines specific threshold values to determine optimal entry and exit points based on crossovers and crossunders of the SMA.
Long Condition = Crossover(Weighted Avg SMA, Long Entry Threshold)
Short Condition = Crossunder(Weighted Avg SMA, Short Entry Threshold)
Long Exit = Crossunder(Weighted Avg SMA, Long Exit Threshold)
Short Exit = Crossover(Weighted Avg SMA, Short Exit Threshold)
Long Entry Threshold (T_LE): Level at which a long position is triggered.
Short Entry Threshold (T_SE): Level at which a short position is triggered.
Long Exit Threshold (T_LX): Level at which a long position is exited.
Short Exit Threshold (T_SX): Level at which a short position is exited.
These conditions ensure that trades are only executed when clear trends are identified, enhancing the strategy's reliability.
Previous local performance
🔶 7. ATR-Based Take Profit Mechanism
When enabled, the strategy employs a 4-step Take Profit system to systematically secure profits as the trade moves in the desired direction.
TP Price_1 Long = Entry Price + (TP1ATR * ATR Value)
TP Price_2 Long = Entry Price + (TP2ATR * ATR Value)
TP Price_3 Long = Entry Price + (TP3ATR * ATR Value)
TP Price_1 Short = Entry Price - (TP1ATR * ATR Value)
TP Price_2 Short = Entry Price - (TP2ATR * ATR Value)
TP Price_3 Short = Entry Price - (TP3ATR * ATR Value)
- ATR Value: Calculated using ATR over a specified period (e.g., 14).
- TPxATR: User-defined multipliers for each take profit level.
- TPx_percent: Percentage of the position to exit at each TP level.
This multi-tiered exit strategy allows for partial position closures, optimizing profit capture while maintaining exposure to potential further gains.
█ Trade Direction
The Fibonacci ATR Fusion Strategy is designed to operate in both long and short market conditions, providing flexibility to traders in varying market environments.
Long Trades: Initiated when the SMA of the weighted average crosses above the Long Entry Threshold (T_LE), indicating strong upward momentum.
Short Trades: Initiated when the SMA of the weighted average crosses below the Short Entry Threshold (T_SE), signaling robust downward momentum.
Additionally, the strategy can be configured to trade exclusively in one direction—Long, Short, or Both—based on the trader’s preference and market analysis.
█ Usage
Implementing the Fibonacci ATR Fusion Strategy involves several steps to ensure it aligns with your trading objectives and market conditions.
1. Configure Strategy Parameters:
- Trading Direction: Choose between Long, Short, or Both based on your market outlook.
- Trading Condition Thresholds: Set the Long Entry, Short Entry, Long Exit, and Short Exit thresholds to define when to enter and exit trades.
2. Set Take Profit Levels (if enabled):
- ATR Multipliers: Define how many ATRs away from the entry price each take profit level is set.
- Take Profit Percentages: Allocate what percentage of the position to close at each TP level.
3. Apply to Desired Chart:
- Add the strategy to the chart of the asset you wish to trade.
- Observe the plotted Fibonacci ATR and SMA Fibonacci ATR indicators for visual confirmation.
4. Monitor and Adjust:
- Regularly review the strategy’s performance through backtesting.
- Adjust the input parameters based on historical performance and changing market dynamics.
5. Risk Management:
- Ensure that the sum of take profit percentages does not exceed 100% to avoid over-closing positions.
- Utilize the ATR-based TP levels to adapt to varying market volatilities, maintaining a balanced risk-reward ratio.
█ Default Settings
Understanding the default settings is crucial for optimizing the Fibonacci ATR Fusion Strategy's performance. Here's a precise and simple overview of the key parameters and their effects:
🔶 Key Parameters and Their Effects
1. Trading Direction (`tradingDirection`)
- Default: Both
- Effect: Determines whether the strategy takes both long and short positions or restricts to one direction. Selecting Both allows maximum flexibility, while Long or Short can be used for directional bias.
2. Trading Condition Thresholds
Long Entry (long_entry_threshold = 58.0): Higher values reduce false positives but may miss trades.
Short Entry (short_entry_threshold = 42.0): Lower values capture early short trends but may increase false signals.
Long Exit (long_exit_threshold = 42.0): Exits long positions early, securing profits but potentially cutting trends short.
Short Exit (short_exit_threshold = 58.0): Delays short exits to capture favorable movements, avoiding premature exits.
3. Take Profit Configuration (`useTakeProfit` = false)
- Effect: When enabled, the strategy employs a 4-step TP mechanism to secure profits at multiple levels. By default, it is disabled to allow users to opt-in based on their trading style.
4. ATR-Based Take Profit Multipliers
TP1 (tp1ATR = 3.0): Sets the first TP at 3 ATRs for initial profit capture.
TP2 (tp2ATR = 8.0): Targets larger trends, though less likely to be reached.
TP3 (tp3ATR = 14.0): Optimizes for extreme price moves, seldom triggered.
5. Take Profit Percentages
TP Level 1 (tp1_percent = 12%): Secures 12% at the first TP.
TP Level 2 (tp2_percent = 12%): Exits another 12% at the second TP.
TP Level 3 (tp3_percent = 12%): Closes an additional 12% at the third TP.
6. Weighted Average Parameters
Ratio Periods: Fibonacci-based intervals (8, 13, 21, 34, 55) balance responsiveness.
Weights: Emphasizes recent data for timely responses to market trends.
SMA Period (weighted_avg_sma_period = 3): Smoothens data with minimal lag, balancing noise reduction and responsiveness.
7. ATR Period (`atrPeriod` = 14)
Effect: Sets the ATR calculation length, impacting TP sensitivity to volatility.
🔶 Impact on Performance
- Sensitivity and Responsiveness:
- Shorter Ratio Periods and Higher Weights: Make the weighted average more responsive to recent price changes, allowing quicker trade entries and exits but increasing the likelihood of false signals.
- Longer Ratio Periods and Lower Weights: Provide smoother signals with fewer false positives but may delay trade entries, potentially missing out on significant price moves.
- Profit Taking:
- ATR Multipliers: Higher multipliers set take profit levels further away, targeting larger price movements but reducing the probability of reaching these levels.
- Fixed Percentages: Allocating equal percentages at each TP level ensures consistent profit realization and risk management, preventing overexposure.
- Trade Direction Control:
- Selecting Specific Directions: Restricting trades to Long or Short can align the strategy with market trends or personal biases, potentially enhancing performance in trending markets.
- Risk Management:
- Take Profit Percentages: Dividing the position into smaller percentages at multiple TP levels helps lock in profits progressively, reducing risk and allowing the remaining position to ride further trends.
- Market Adaptability:
- Weighted Averages and ATR: By combining multiple timeframes and adjusting to volatility, the strategy adapts to different market conditions, maintaining effectiveness across various asset classes and timeframes.
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If you want to know more about ATR, can also check "SuperATR 7-Step Profit".
Enjoy trading.
The Ultimate ATR-BBW Market Volatility Indicator"The ATR-BBW Market Volatility Indicator combines the Average True Range (ATR) and Bollinger Bands Width (BBW) to provide a measure of market volatility. This indicator does not indicate bullish or bearish trends, but rather the magnitude of price fluctuations.
* Usage: When the indicator moves upward, it suggests increasing market volatility, indicating that prices are moving within a wider range. Conversely, a downward movement implies decreasing volatility, signifying that prices are moving within a narrower range.
* Note: This sub-indicator solely reflects market volatility and does not provide buy or sell signals.
Investing involves risk. Please conduct thorough research before making any investment decisions.
ATR and BBW Explained:
* Average True Range (ATR): ATR is a technical analysis indicator used to measure market volatility. It calculates the average of a series of true ranges, where the true range is the greatest of the following:
* The current high minus the current low
* The absolute value of the current high minus the previous close
* The absolute value of the current low minus the previous close
* A higher ATR value indicates higher volatility, while a lower value suggests lower volatility.
* Bollinger Bands Width (BBW): Bollinger Bands are plotted two standard deviations above and below a simple moving average. BBW measures the distance between the upper and lower bands. A wider BBW indicates higher volatility, as prices are moving further away from the moving average. Conversely, a narrower BBW suggests lower volatility.
Combining ATR and BBW:
By combining ATR and BBW, the ATR-BBW indicator provides a more comprehensive view of market volatility. ATR captures the overall volatility of the market, while BBW measures the volatility relative to the moving average. Together, they provide a more robust indicator of market conditions and can be used to identify potential trading opportunities.
Why ATR and BBW are Effective for Measuring Volatility:
* ATR directly measures the actual price movement, regardless of the direction.
* BBW shows how much prices are deviating from their average, indicating the strength of the current trend.
* Combined: By combining these two measures, the ATR-BBW indicator provides a more comprehensive and accurate assessment of market volatility.
In essence, the ATR-BBW indicator helps traders understand the magnitude of price fluctuations, allowing them to make more informed trading decisions.
PTS - Bollinger Bands with Trailing StopPTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
Thought for 1m 7s
Description for the "PTS - Bollinger Bands with Trailing Stop" Strategy
PTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
How the Strategy Works
1. Initialization
Calculates Bollinger Bands and ATR based on selected parameters.
2. Entry Logic
Opens a long position when the closing price exceeds the upper Bollinger Band.
3. Exit Logic
Uses a trailing stop loss based on ATR. Exits if the closing price drops below the lower Bollinger Band.
4. Date Filtering
Executes trades only within the specified date range.
Advantages
Adaptive Risk Management: Trailing stop adjusts to market volatility. Simplicity: Clear entry and exit signals. Customizable Parameters: Tailor the strategy to different assets or conditions.
Considerations
Aggressive Position Sizing: Using 100% equity per trade is high-risk. Market Conditions: Best in trending markets; may produce false signals in sideways markets. Backtesting: Always test on historical data before live trading.
Disclaimer
This strategy is intended for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Assess your financial situation and consult a financial advisor if necessary.
Usage Instructions
1. Apply the Strategy: Add it to your TradingView chart. 2. Configure Inputs: Adjust parameters to suit your style and asset. 3. Analyze Backtest Results: Use the Strategy Tester. 4. Optimize Parameters: Experiment with input values. 5. Risk Management: Evaluate position sizing and incorporate risk controls.
Final Notes
The "PTS - Bollinger Bands with Trailing Stop" strategy provides a framework to leverage momentum breakouts while managing risk through adaptive trailing stops. Customize and test thoroughly to align with your trading objectives.
Custom Trend and Volatility Strategy with TP/SLThis strategy is designed to identify trend-following buy and sell signals based on a combination of moving averages, volatility thresholds, and momentum indicators. Additionally, it includes visualized Take Profit (TP) and Stop Loss (SL) levels on the chart, providing clear exit targets for both buy and sell signals. This setup is suitable for trading on lower timeframes, such as the 15 minute (M15) OR 1 hour (H1) chart, where it captures medium-term trends and minimizes noise.
Combined Teo Volatility & Stochastic with False Barbir kaç combinasyon birleşimi ile oluşan indikatörümüz kullanıcılar tarafından umarım beğenilir
Volatility & Momentum CompositeA composite indicator that combines ATR, Historical Volatility, and BB %b with an intuitive interface.
There are several UI/UX implementations that make this composite indicator user-friendly and configurable:
Organized Input Groups:
Separated settings into logical groups (ATR, HV, BB)
Each indicator has its own color selection
Clear labels and intuitive organization
Normalization Option:
Added ability to normalize all indicators to the same scale (0-100)
Makes it easier to compare different indicators
Can be toggled on/off
Visual Improvements:
Configurable overbought/oversold bands
Option to show/hide bands
Consistent line widths for better visibility
Color-coded indicators with customizable colors
Simplified Configuration:
Maintained all essential parameters
Grouped related settings together
Added descriptive titles and tooltips
*random37* buy-sell İndicatorAl-Sat noktalarının gösterildiği, karma indikatörlerden oluşan ve uyulduğunda %90 kazanç getiren özel bir indikatör kodlamasıdır.
It is a special indicator coding consisting of mixed indicators and making 90 %profit when followed. Buy and sell shows.
Dynamic RSI Mean Reversion StrategyDynamic RSI Mean Reversion Strategy
Overview:
This strategy uses an RSI with ATR-Adjusted OB/OS levels in order to enhance the quality of it's mean reversion trades. It also incorporates a form of trend filtering in an effort to minimize downside and maximize upside. The backtest has fewer trades, as it uses substantial filtering to enhance trade quality. As you can see, I didn't cherry pick the results, so the results aren't the most beautiful thing you'll see in your life. I did this to ensure nobody gets misled. If you need a higher frequency of trades, consider removing the trend filter or increasing the length of the EMAs used for trend detection.
Features:
Dynamic OB/OS Levels: Uses ATR to adjust overbought and oversold thresholds dynamically, making the RSI more responsive in varying volatility conditions. This approach enhances signal strength by expanding the RSI range in high volatility and tightening it in low volatility.
Mean Reversion Focus: Designed for mean reversion but incorporates a trend-following filter to reduce countertrend trades. When the RSI is high, it often indicates an uptrend, so a trend filter prevents shorting in these cases and the same goes for downtrends and longing.
Trend Filtering: A moving average cross trend filter checks for the trend direction, with the RSI signal line color-coded to reflect trend shifts. Entries occur when the RSI crosses above or below the dynamic thresholds and is not a countertrend trade.
Stop Losses: Stop losses are set based on ATR distance from the entry price, providing volatility-adjusted protection.
Note:
If you're using this strategy on assets with a higher price, remember to increase the initial capital in the strategy settings. Otherwise, the strategy won't generate any (or many) trades and you'll end up with some inaccurate results.
Recommended Use:
Test it on different assets and timeframes. I’ve found the best results with standard RSI inputs, a relatively slow ATR, and a slower MA cross for trend filtering. Thus, the defaults are set that way. If the trend metrics are too slow, you’ll filter out too many good trades while allowing crummy ones; if too fast, most trades may be filtered out. As always, this has a lot of configurability so experiment to find the balance that works for your trading style.
Multi-Timeframe Supertrend Dashboard - EnhancedOverview
The Multi-Timeframe Supertrend Dashboard is a powerful tool designed to give traders a clear view of market trends across multiple timeframes, all from a single dashboard. This indicator leverages the Supertrend method to calculate buy and sell signals based on the direction of price relative to dynamically calculated support and resistance lines. The dashboard is optimized for dark mode and provides easy-to-interpret color-coded signals for each timeframe.
How It Works
The Supertrend indicator is a trend-following indicator that uses the Average True Range (ATR) to set upper and lower bands around the price, adapting dynamically as volatility changes. When the price is above the Supertrend line, the market is considered in an uptrend, triggering a "BUY" signal. Conversely, when the price falls below the Supertrend line, the market is in a downtrend, triggering a "SELL" signal.
This Multi-Timeframe Supertrend Dashboard calculates Supertrend signals for the following timeframes:
1 minute
5 minutes
15 minutes
1 hour
Daily
Weekly
Monthly
For each timeframe, the dashboard shows either a "BUY" or "SELL" signal, allowing traders to assess whether trends align across timeframes. A "BUY" signal displays in green, and a "SELL" signal displays in red, giving a quick visual reference of the overall trend direction for each timeframe.
Customization Options
ATR Period: Defines the period for the Average True Range (ATR) calculation, which determines how responsive the Supertrend lines are to changes in market volatility.
Multiplier: Sets the sensitivity of the Supertrend bands to price movements. Higher values make the bands less sensitive, while lower values increase sensitivity, allowing quicker reactions to changes in price.
How to Interpret the Dashboard
The Multi-Timeframe Supertrend Dashboard allows traders to see at a glance if trends across multiple timeframes are aligned. Here’s how to interpret the signals:
BUY (Green): The current timeframe’s price is in an uptrend based on the Supertrend calculation.
SELL (Red): The current timeframe’s price is in a downtrend based on the Supertrend calculation.
For example:
If all timeframes display "BUY," the asset is in a strong uptrend across multiple time horizons, which may indicate a bullish market.
If all timeframes display "SELL," the asset is likely in a strong downtrend, signaling a bearish market.
Mixed signals across timeframes suggest market consolidation or differing trends across short- and long-term periods.
Use Cases
Trend Confirmation: Use the dashboard to confirm trends across multiple timeframes before entering or exiting a position.
Quick Market Analysis: Get a snapshot of market conditions across timeframes without having to change charts.
Multi-Timeframe Alignment: Identify alignment across timeframes, which is often a strong indicator of market momentum in one direction.
Dark Mode Optimization
The dashboard has been optimized for dark mode, with white text and contrasting background colors to ensure easy readability on darker TradingView themes.
buy-sell IndicatorUnlock the potential of your trading strategy with our Accurate Signal Provider Buy/Sell Script. Designed for real-time market analysis, this script delivers precise buy and sell signals based on advanced algorithms and historical data trends. Whether you're a seasoned trader or just starting, it empowers you to make informed decisions, minimize risks, and maximize profits. Stay ahead of the market with timely alerts and intuitive features tailored to enhance your trading experience. Transform your trading game today!
*random37* Al-Sat İndikatörüAl-Sat noktalarının gösterildiği, karma indikatörlerden oluşan ve uyulduğunda %90 kazanç getiren özel bir indikatör kodlamasıdır.
It is a special indicator coding consisting of mixed indicators and making 90 %profit when followed. Buy and sell shows.
BB + SMA120Custom Bollinger Band with SMA Alert Indicator
This script is a customized Bollinger Band indicator with added alerts based on specific conditions related to a 120-period Simple Moving Average (SMA). This indicator is designed for traders who want to receive alerts when certain interactions occur between the Bollinger Bands and the SMA levels, providing potentially valuable signals in trend-following or mean-reversion strategies.
Key Features:
Bollinger Bands Calculation:
The script calculates a standard 25-period Bollinger Band using a customizable standard deviation. The bands consist of an upper, middle (basis), and lower line, allowing traders to observe volatility and potential support/resistance levels.
120 SMA High and Low Levels:
A 120-period SMA of high and low prices is added to the chart, providing a reference for longer-term trend direction and creating a range within which the Bollinger Bands can be evaluated.
Conditional Alerts:
Scenario 1: An alert is triggered when the Bollinger Bands remain above the 120 SMA high and low, and the price taps the lower Bollinger Band. This can be useful for spotting potential buy entries in an uptrend when prices retrace to the lower band.
Scenario 2: An alert is triggered when the Bollinger Bands remain below the 120 SMA high and low, and the price taps the upper Bollinger Band. This may help identify potential sell entries in a downtrend when prices retrace to the upper band.
Visual Aids:
The 120 SMA high and low lines are plotted on the chart with color fills, making it easy to visualize the trend and range boundaries.
Color-coded Bollinger Bands help highlight potential areas of interest based on volatility.
How to Use:
Add this indicator to your chart, configure the Bollinger Band length, and set your alert preferences. Alerts can be managed through TradingView's alert panel, where you can select the scenarios based on price interaction with the bands.
Recommended Use:
This indicator can be helpful for price action traders and mean-reversion strategies in Forex, stocks, and other markets where Bollinger Bands and moving averages are used.
Alerts may provide early signals for potential trade setups, although further confirmation and analysis are advised before entry.
ROCnRollThe ROCnRoll indicator can be used on any asset and aims to generate bullish or bearish signals based on market trends, assisting investors in making buy or sell decisions.
This technical indicator combines two well-known and complementary indicators:
The Rate of Change (ROC)
The Exponential Moving Average (EMA)
With these two tools, the ROCnRoll indicator accurately, precisely, and flexibly reflects the volatility of the analyzed asset prices.
ATR-Based Trend Oscillator with Donchian ChannelsThis script, my Magnum Opus, combines the best elements of trend detection into a powerful ATR-based trend strength oscillator. It has been meticulously engineered to give traders a consistent edge in trend analysis across any asset, including highly volatile markets like crypto and forex. The oscillator normalizes trend strength as a percentage of ATR, smoothing out noise and allowing the oscillator to remain highly responsive while adapting to varying asset volatility.
Key Features:
ATR-Based Oscillator: Measures trend strength in relation to Average True Range, which enhances accuracy and consistency across different assets. By normalizing to ATR, the oscillator produces stable and reliable values that capture shifts in trend momentum effectively.
Dual Moving Averages for Smoothing: This script features two customizable moving averages to help confirm trend direction and strength, making it adaptable for short- and long-term analysis alike.
Donchian Channels for Strength Bounds: A Donchian Channel over the smoothed trend strength oscillator visually bounds strength levels, enabling traders to spot breakout points or reversals quickly.
Ideal for Multi-Asset Trading: The versatility of this indicator makes it a perfect choice across various asset classes, from stocks to forex and cryptocurrencies, maintaining consistency in signals and reliability.
Suggested Pairing: Use this oscillator alongside a directional indicator, such as the Vortex Indicator, to confirm trend direction. This pairing allows traders to understand not only the strength but also the direction of the trend for optimized entry and exit points.
Why This Indicator Will Elevate Your Trading: This trend strength oscillator has been refined to provide clarity and edge for any trader. By incorporating ATR-based normalization, it maintains accuracy in volatile and steady markets alike. The Donchian Channels add structure to trend strength, giving clear overbought and oversold signals, while the two moving averages ensure that lag is minimized without sacrificing accuracy.
Whether you're scalping or trend-trading, this oscillator will enhance your ability to detect and interpret trend strength, making it an essential tool in any trading arsenal.
狩利-全能市場監測者指標名稱：全能市場監測者
說明：
「全能市場監測者」是一個綜合性技術分析指標，旨在幫助交易者評估市場趨勢，篩選強勢資產，並有效管理風險。此指標結合了多條簡單移動平均線（SMA）、交易量分析、最低價格線、自動計算止損價和預計進場價位，提供了一個全面的市場監測工具。
用途：
趨勢識別：透過多條移動平均線，交易者可以輕鬆辨識當前市場的趨勢方向，並決定適當的進場和出場時機。
強勢資產篩選：結合交易量的分析，交易者能識別市場中的強勢資產，特別是當交易量突兀時，這通常表示市場活動增加，可能預示著價格變動的開始。
風險管理：通過自動計算止損價，交易者能在掛單進場時設定適當的止損點，從而有效管理風險。
突兀量的含意：
突兀量指的是交易量的異常變化，通常會顯示出市場中潛在的動態或即將發生的價格變化。當交易量突然增加時，這可能意味著：
市場情緒的轉變，可能預示著強烈的買入或賣出信號。
潛在的價格突破或反轉，即市場正在進行重大的技術調整。
在本指標中，突兀量的檢測將有助於交易者捕捉市場的重要時刻，進而做出更具前瞻性的交易決策。
與 Mark Minervini 系統的關聯：
Mark Minervini 是著名的交易專家，他的「SEPA」策略（Specific Entry Point Analysis）強調技術分析和趨勢的識別。此指標的設計理念與 Minervini 的系統有以下幾點關聯：
趨勢確認：多條移動平均線的使用，符合 Minervini 對於確認趨勢的需求，有助於交易者判斷進出場的最佳時機。
強勢篩選：基於交易量的分析可以幫助交易者尋找強勢資產，這是 Minervini 策略中的一個關鍵要素，旨在捕捉市場中的優勢資產。
趨勢止盈：
趨勢止盈指的是在市場趨勢中設定的盈利目標點，當資產價格達到該點時，交易者可以選擇獲利了結。此指標使用 N 個 K 棒的低點作為追蹤趨勢的止盈系統。這種方法可以幫助交易者在趨勢持續時保護利潤，並隨著價格上漲自動調整止盈點，減少因小幅回調而過早退出交易的風險。
Indicator Name: All-Purpose Market Monitor
Description:
The "All-Purpose Market Monitor" is a comprehensive technical analysis indicator designed to help traders assess market trends, filter strong assets, and effectively manage risks. This indicator combines multiple Simple Moving Averages (SMA), volume analysis, minimum price lines, automatic stop loss calculations, and anticipated entry prices, providing a thorough market monitoring tool.
Usage:
Trend Identification: With multiple moving averages, traders can easily identify the current market trend and determine the appropriate entry and exit points.
Strong Asset Filtering: By combining volume analysis, traders can identify strong assets in the market, especially when sudden spikes in volume occur, indicating increased market activity and potential price changes.
Risk Management: Through automatic stop loss calculations, traders can set appropriate stop loss points when placing limit orders, allowing for effective risk management.
Meaning of Sudden Volume:
Sudden volume refers to abnormal changes in trading volume, which typically indicate potential market dynamics or upcoming price changes. When trading volume suddenly increases, it may signify:
A shift in market sentiment, potentially signaling strong buy or sell signals.
A potential price breakout or reversal, indicating that the market is undergoing significant technical adjustments.
In this indicator, the detection of sudden volume helps traders capture important moments in the market, enabling them to make more proactive trading decisions.
Relation to Mark Minervini's Concept:
Mark Minervini is a renowned trading expert known for his "SEPA" (Specific Entry Point Analysis) strategy. The design principles of this indicator align with Minervini’s system in several ways:
Trend Confirmation: The use of multiple moving averages meets Minervini's requirement for confirming trends, assisting traders in determining the best entry and exit points.
Strong Asset Filtering: The volume-based analysis helps traders identify strong assets, a key element of Minervini's strategy aimed at capturing market-leading assets.
Trend Take Profit:
Trend take profit refers to setting profit target points within market trends, where traders can choose to lock in profits when the asset price reaches those points. This indicator uses the lowest points of the last N candlesticks as a trailing stop system for trends. This approach helps traders protect profits while the trend continues and automatically adjusts take profit points as prices rise, reducing the risk of premature exit due to minor pullbacks.
狩利-趨勢獵手(Profit Hunter Market Selector)指標名稱：狩利-趨勢獵手(Profit Hunter Market Selector)
說明：
狩利-趨勢獵手(Profit Hunter Market Selector) 是一個專為加密貨幣和其他市場設計的技術分析指標。此指標的目的是幫助交易者篩選和辨識市場中強勢的標的，根據價格相對於歷史高點和低點的百分比計算出多條關鍵價位線。這些價位線可用於判斷當前價格是否處於有利的技術位置，例如位於歷史高點的某個百分比之上。
用途：
標的篩選：此指標用於快速篩選出價格位於歷史高點或特定百分比之上的標的，以便交易者識別市場中具有相對強勢的資產。
強勢辨識：藉由觀察價格是否超過特定關鍵價位（如價格位於 100% 之上或接近歷史高點的(紅線) -25% 之上(藍線)），交易者能判斷標的是否具備較強的上升動能。
動能策略輔助：指標能幫助交易者在策略中尋找和確認具備高潛力的標的，適合在動能策略和突破交易中使用。
與 Mark Minervini 概念的關聯：
Mark Minervini 的「SEPA」策略（Specific Entry Point Analysis）強調識別相對於市場和歷史價格的強勢標的。Minervini 經常尋找價格突破歷史高點或接近關鍵價位的股票，作為確認強勢的信號。
Key Price Indicator (4H) 與 Minervini 概念的相關點包括：
強勢篩選：此指標幫助交易者識別價格是否位於歷史高點的某個百分比之上（如 -25% 之上），以確認標的的相對強勢。
技術支撐與突破：指標繪製的關鍵價位可用來判斷是否進行突破交易，這是 Minervini 在捕捉市場動能時所強調的技術之一。
透過使用 Key Price Indicator (4H)，交易者能快速定位那些已經或即將突破關鍵價位的標的，以便制定進場計劃並篩選出具有良好上漲潛力的資產。
Indicator Name:Profit Hunter Market Selector
Description:
Profit Hunter Market Selector is a technical analysis tool specifically designed for cryptocurrency and other markets. The purpose of this indicator is to help traders filter and identify strong-performing assets by calculating key price levels based on percentages of historical highs and lows. These price levels can be used to determine if the current price is in a favorable technical position, such as being above a certain percentage of the historical high.
Usage:
Asset Filtering: This indicator helps quickly filter out assets whose prices are above specific historical price levels, enabling traders to identify assets with relative strength in the market.
Strength Identification: By observing whether the price is above key levels (e.g., above 100% or within -25% of historical highs), traders can determine whether an asset exhibits strong upward momentum.
Momentum Strategy Support: The indicator assists traders in identifying and confirming high-potential assets for momentum and breakout trading strategies.
Relation to Mark Minervini's Concept:
Mark Minervini's "SEPA" (Specific Entry Point Analysis) strategy emphasizes identifying assets with strength relative to the market and their historical prices. Minervini often seeks assets that break through historical highs or approach key levels as a signal of strength.
The connection between the Key Price Indicator (4H) and Minervini's concept includes:
Strength Filtering: This indicator helps traders identify if the price is above a specific percentage of the historical high (e.g., within -25% of the high), confirming the asset's relative strength.
Technical Support and Breakouts: The plotted key price levels can be used to determine if an asset is suitable for breakout trades, a technique Minervini highlights when capturing market momentum.
By using the Key Price Indicator (4H), traders can quickly pinpoint assets that have surpassed or are nearing key levels, allowing them to develop entry strategies and select assets with solid upward potential.
[Volatility] [Gain & Loss] - OverviewFX:EURUSD
Indicator Overview: Volatility & Gain/Loss - Forex Pair Analysis
This indicator, " —Overview" , is designed for users interested in analyzing the volatility and gain/loss metrics of multiple forex pairs. The tool is especially useful for traders aiming to assess currency pair volatility alongside gain and loss percentages over selected periods. It enables a clearer understanding of pair behavior and aids in decision-making.
Key Features
Customizable Volatility and Gain/Loss Periods : Define your preferred calculation periods and timeframes for both volatility and gain/loss to tailor the indicator to specific trading strategies. Multi-Pair Analysis : This indicator supports up to six forex pairs (default pairs include EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, and USDCAD) and allows you to adjust these pairs as needed. Visual Ranking : Forex pairs are sorted by volatility, displaying the highest pairs at the top for quick reference. Top Gain/Loss Highlighting : The pair with the maximum gain and the pair with the maximum loss are highlighted in the table, making it easy to identify the best and worst performers at a glance.
Indicator Settings
Volatility Settings : Period : Adjust the number of periods used in the ATR (Average True Range) calculation. A default period of 14 is set. Timeframe : Select a timeframe (e.g., Daily, Weekly) for volatility calculation to match your analysis preference.
Gain/Loss Settings : Period : Choose the number of periods for gain/loss calculation. The default is set to 1. Timeframe : Select the timeframe for gain/loss calculation, independent of the volatility timeframe.
Symbol Selection : Configure up to six forex pairs. By default, popular forex pairs are pre-loaded but can be customized to include other currency pairs.
Output and Visualization
Table Display : This indicator displays data in a neatly structured table positioned in the top-right corner of your chart. Columns : Includes columns for the Forex Pair, Volatility Percentage, Gain Percentage, and Loss Percentage. Color Coding : Volatility is displayed in a standard color for clear readability. Gain values are highlighted in green, and Loss values are highlighted in red, allowing for quick visual differentiation. Highlighting : Rows representing the pair with the highest gain and the pair with the most significant loss are especially highlighted for emphasis.
How to Use
Volatility Analysis : This metric gives insight into the average price range movements for each pair over the specified period and timeframe, helping you evaluate the potential for rapid price changes. Gain/Loss Tracking : Gain or loss percentages show the pair's recent performance, allowing you to observe whether a currency pair is trending positively or negatively over the chosen period. Comparative Pair Ranking : Use the table to identify pairs with the highest volatility and extremes in gain or loss to guide trading decisions based on market conditions.
Ideal For
Swing Traders and Day Traders looking to understand short-term market fluctuations in currency pairs. Risk Management : Helps traders gauge pairs with higher risk (volatility) and recent performance (gain/loss) for informed position sizing and risk control.
This indicator is a comprehensive tool for visualizing and analyzing key forex pairs, making it an essential addition for traders looking to stay updated on volatility trends and recent price changes.
올인원 지표 2 (All-in-One Indicator) 2"올인원 지표 2"는 다양한 거래 지표를 결합하여 트레이더가 보다 편하게 시장을 분석하고 거래를 할 수 있도록 도와줍니다 이 지표는 단기 스캘핑부터 중장기 스윙까지 다양한 거래 스타일에 최적화되어 , RSI, 스토캐스틱 오실레이터, MACD, 볼린저 밴드 등 6개 이상의 주요 지표를 조합해 추세를 실시간으로 업데이트하면 초보 트레이더를 위해 바이 셀 신호도 발생을 시킵니다.
#Hussarya Bollinger Bands mod v 3.0
Bollinger Bands.
Double ribbon drawing.
Two different settings for each band.
Filling areas when the faster band goes beyond the slow band.
Possibility to add EMA with price shading.
All ribbons and shading can be turned on independently.
