Adaptive Fibonacci Trend Ribbon[FibonacciFlux]Adaptive Fibonacci Trend Ribbon (FibonacciFlux)
Overview
The Adaptive Fibonacci Trend Ribbon is a versatile technical analysis tool designed for traders who want to leverage the power of multiple moving averages while integrating Fibonacci numbers. This indicator provides a dynamic visual representation of market trends, enhancing decision-making processes in trading.
Key Features
1. Multi-Moving Averages
- The indicator calculates eight different moving averages based on user-defined periods, including Fibonacci numbers such as 5, 8, 13, 21, 34, 55, 89, and 144.
- Traders can choose from various moving average types, including EMA, HMA, WMA, VWMA, ALMA, SMA, RMA, and TMA , allowing for tailored analysis based on market conditions.
2. Trend Detection
- Each moving average is color-coded based on its trend direction, with green indicating an upward trend and red indicating a downward trend.
- This visual clarity helps traders quickly assess market sentiment and make informed decisions.
3. Fill Areas for Enhanced Insight
- The indicator features fill areas between the moving averages, which dynamically change color according to their relative positions.
- This provides a clear visual cue of trend strength and potential reversal points, allowing traders to identify key areas of interest.
4. Customizable Inputs
- Users can easily adjust the source data, moving average lengths, and ALMA parameters (offset and sigma) to fit their trading strategies.
- This flexibility ensures that traders can adapt the tool to various market conditions and personal preferences.
Insights and Applications
1. Fibonacci Integration
- By incorporating Fibonacci numbers into the moving average periods, this indicator allows traders to align their strategies with key levels of support and resistance.
- This can enhance the accuracy of entry and exit points, particularly in trending markets.
2. Trend Continuation and Reversal Analysis
- The adaptive nature of the moving averages provides insights into potential trend continuations or reversals.
- Traders can use the indicator to identify when to enter or exit positions based on the interaction between the moving averages.
3. Visual Clarity for Quick Decisions
- The color-coded moving averages and fill areas offer immediate visual feedback on market conditions, helping traders react swiftly to changing dynamics.
- This is especially useful in fast-moving markets where timely decisions are critical.
Conclusion
The Adaptive Fibonacci Trend Ribbon is an essential tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with Fibonacci integration and dynamic visual cues, this indicator offers a robust framework for understanding market trends. Its flexibility and clarity make it an invaluable asset for both novice and experienced traders alike.
Open Source Contribution
This indicator is open source, inviting contributions and improvements from the trading community. Feel free to fork, enhance, and share your insights with the world, helping to foster a collaborative environment for traders everywhere.
Komut dosyalarını "trendline" için ara
Multi Fibonacci Supertrend with Signals【FIbonacciFlux】Multi Fibonacci Supertrend with Signals (MFSS)
Overview
The Multi Fibonacci Supertrend with Signals (MFSS) is an advanced technical analysis tool that combines multiple Supertrend indicators using Fibonacci ratios to identify trend directions and potential trading opportunities.
Key Features
1. Fibonacci-Based Supertrend Levels
* Factor 1 (Weak) : 0.618 - The golden ratio
* Factor 2 (Medium) : 1.618 - The Fibonacci ratio
* Factor 3 (Strong) : 2.618 - The extension ratio
2. Visual Components
* Multi-layered Trend Lines
* Different line weights for easy identification
* Progressive transparency from Factor 1 to Factor 3
* Color-coded trend directions (Green for bullish, Red for bearish)
* Dynamic Fill Areas
* Gradient fills between price and trend lines
* Visual representation of trend strength
* Automatic color adjustment based on trend direction
* Signal Indicators
* Clear BUY/SELL labels on chart
* Position-adaptive signal placement
* High-visibility color scheme
3. Signal Generation Logic
The system generates signals based on two key conditions:
* Primary Condition :
* BUY : Price crossunder Supertrend2 (Factor 1.618)
* SELL : Price crossover Supertrend2 (Factor 1.618)
* Confirmation Filter :
* Signals only trigger when Supertrend3 confirms the trend direction
* Reduces false signals in volatile markets
Technical Details
Input Parameters
* ATR Period : 10 (default)
* Customizable for different market conditions
* Affects sensitivity of all Supertrend levels
* Factor Settings :
* All factors are customizable
* Default values based on Fibonacci sequence
* Minimum value: 0.01
* Step size: 0.01
Alert System
* Built-in alert conditions
* Customizable alert messages
* Real-time notification support
Use Cases
* Trend Trading
* Identify strong trend directions
* Filter out weak signals
* Confirm trend continuations
* Risk Management
* Multiple trend levels for stop-loss placement
* Clear entry and exit signals
* Trend strength visualization
* Market Analysis
* Multi-timeframe analysis capability
* Trend strength assessment
* Market structure identification
Benefits
* Reliability
* Based on proven Supertrend algorithm
* Enhanced with Fibonacci mathematics
* Multiple confirmation levels
* Clarity
* Clear visual signals
* Easy-to-interpret interface
* Reduced noise in signal generation
* Flexibility
* Customizable parameters
* Adaptable to different markets
* Suitable for various trading styles
Performance Considerations
* Optimized code structure
* Efficient calculation methods
* Minimal resource usage
Installation and Usage
Setup
* Add indicator to chart
* Adjust parameters if needed
* Enable alerts as required
Best Practices
* Use with other confirmation tools
* Adjust factors based on market volatility
* Consider timeframe appropriateness
Backtesting Results and Strategy Performance
This indicator is specifically designed for pullback trading with optimized risk-reward ratios in trend-following strategies. Below are the detailed backtesting results from our proprietary strategy implementation:
BTCUSDT Performance (Binance)
* Test Period: Approximately 7 years
* Risk-Reward Ratio: 2:1
* Take Profit: 8%
* Stop Loss: 4%
Key Metrics (BTCUSDT):
* Net Profit: +2,579%
* Total Trades: 551
* Win Rate: 44.8%
* Profit Factor: 1.278
* Maximum Drawdown: 42.86%
ETHUSD Performance (Binance)
* Risk-Reward Ratio: 4.33:1
* Take Profit: 13%
* Stop Loss: 3%
Key Metrics (ETHUSD):
* Net Profit: +8,563%
* Total Trades: 581
* Win Rate: 32%
* Profit Factor: 1.32
* Maximum Drawdown: 55%
Strategy Highlights:
* Optimized for pullback trading in strong trends
* Focus on high risk-reward ratios
* Proven effectiveness in major cryptocurrency pairs
* Consistent performance across different market conditions
* Robust profit factor despite moderate win rates
Note: These results are from our proprietary strategy implementation and should be used as reference only. Individual results may vary based on market conditions and implementation.
Important Considerations:
* The strategy demonstrates strong profitability despite lower win rates, emphasizing the importance of proper risk-reward ratios
* Higher drawdowns are compensated by significant overall returns
* The system shows adaptability across different cryptocurrencies with consistent profit factors
* Results suggest optimal performance in volatile crypto markets
Real Trading Examples
BTCUSDT 4-Hour Chart Analysis
Example of pullback strategy implementation on Bitcoin, showing clear trend definition and entry points
ETHUSDT 4-Hour Chart Analysis
Ethereum chart demonstrating effective signal generation during strong trends
BTCUSDT Detailed Signal Example (15-Minute Scalping)
Close-up view of signal generation and trend confirmation process on 15-minute timeframe, demonstrating the indicator's effectiveness for scalping operations
Chart Analysis Notes:
* Green and red zones clearly indicate trend direction
* Multiple timeframe confirmation visible through different Supertrend levels
* Clear entry signals during pullbacks in established trends
* Precise stop-loss placement opportunities below support levels
Implementation Guidelines:
* Wait for main trend confirmation from Factor 3 (2.618)
* Enter trades on pullbacks to Factor 2 (1.618)
* Use Factor 1 (0.618) for fine-tuning entry points
* Place stops below the relevant Supertrend level
Footnotes:
* Charts provided are from Binance exchange, using both 4-hour and 15-minute timeframes
* Trading view screenshots captured during actual market conditions
* Indicators shown: Multi Fibonacci Supertrend with all three factors
* Time period: Recent market activity showing various market conditions
Important Notice:
These charts are for educational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management.
Disclaimer
This indicator is for informational purposes only. Past performance is not indicative of future results. Always conduct proper risk management and due diligence.
License
Open source under MIT License
Author's Note
Contributions and suggestions for improvement are welcome. Please feel free to fork and enhance.
Farley's Accumulation-Distribution Accelerator (ADA)Farley's ADA (From The Master Swing Trader)
What it is :
ADA is designed to track volume oscillations in the market and reduce the impact of shock events.
It observes the supply-demand dynamics within the market, which can trigger natural levels of price reversals.
How It Works
Volume and Price Relationship: ADA measures the lag between price and volume movements. It highlights when volume leads or lags behind price changes, helping traders identify potential reversals or trends.
Signal Generation: ADA can generate faster and cleaner signals compared to traditional indicators like On-Balance Volume (OBV).
Usage
Support and Resistance: ADA formations can help identify support and resistance levels and trendlines.
detect natural levels where price reversals might occur.
Trend Identification: Look for significant divergences between ADA and price action to identify potential trend reversals.
Volume Analysis: Use ADA to anticipate pauses in price movements when volume leads, and expect dynamic trends when ADA significantly moves ahead of price action.
Volumatic Variable Index Dynamic Average [BigBeluga]The Volumatic VIDYA (Variable Index Dynamic Average) indicator is a trend-following tool that calculates and visualizes both the current trend and the corresponding buy and sell pressure within each trend phase. Using the Variable Index Dynamic Average as the core smoothing technique, this indicator also plots volume levels of lows and highs based on market structure pivot points, providing traders with key insights into price and volume dynamics.
Additionally, it generates delta volume values to help traders evaluate buy-sell pressure balance during each trend, making it a powerful tool for understanding market sentiment shifts.
BTC:
TSLA:
🔵 IDEA
The Volumatic VIDYA indicator's core idea is to provide a dynamic, adaptive smoothing tool that identifies trends while simultaneously calculating the volume pressure behind them. The VIDYA line, based on the Variable Index Dynamic Average, adjusts according to the strength of the price movements, offering a more adaptive response to the market compared to standard moving averages.
By calculating and displaying the buy and sell volume pressure throughout each trend, the indicator provides traders with key insights into market participation. The horizontal lines drawn from the highs and lows of market structure pivots give additional clarity on support and resistance levels, backed by average volume at these points. This dual analysis of trend and volume allows traders to evaluate the strength and potential of market movements more effectively.
🔵 KEY FEATURES & USAGE
VIDYA Calculation:
The Variable Index Dynamic Average (VIDYA) is a special type of moving average that adjusts dynamically to the market’s volatility and momentum. Unlike traditional moving averages that use fixed periods, VIDYA adjusts its smoothing factor based on the relative strength of the price movements, using the Chande Momentum Oscillator (CMO) to capture the magnitude of price changes. When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages such as the Simple Moving Average (SMA) or the Exponential Moving Average (EMA), which are less flexible.
// VIDYA (Variable Index Dynamic Average) function
vidya_calc(src, vidya_length, vidya_momentum) =>
float momentum = ta.change(src)
float sum_pos_momentum = math.sum((momentum >= 0) ? momentum : 0.0, vidya_momentum)
float sum_neg_momentum = math.sum((momentum >= 0) ? 0.0 : -momentum, vidya_momentum)
float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum))
float alpha = 2 / (vidya_length + 1)
var float vidya_value = 0.0
vidya_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vidya_value )
ta.sma(vidya_value, 15)
When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages
Triangle Trend Shift Signals:
The indicator marks trend shifts with up and down triangles, signaling a potential change in direction. These signals appear when the price crosses above a VIDYA during an uptrend or crosses below during a downtrend.
Volume Pressure Calculation:
The Volumatic VIDYA tracks the buy and sell pressure during each trend, calculating the cumulative volume for up and down bars. Positive delta volume occurs during uptrends due to higher buy pressure, while negative delta volume reflects higher sell pressure during downtrends. The delta is displayed in real-time on the chart, offering a quick view of volume imbalances.
Market Structure Pivot Lines with Volume Labels:
The indicator draws horizontal lines based on market structure pivots, which are calculated using the highs and lows of price action. These lines are extended on the chart until price crosses them. The indicator also plots the average volume over a 6-bar range to provide a clearer understanding of volume dynamics at critical points.
🔵 CUSTOMIZATION
VIDYA Length & Momentum: Control the sensitivity of the VIDYA line by adjusting the length and momentum settings, allowing traders to customize the smoothing effect to match their trading style.
Volume Pivot Detection: Set the number of bars to consider for identifying pivots, which influences the calculation of the average volume at key levels.
Band Distance: Adjust the band distance multiplier for controlling how far the upper and lower bands extend from the VIDYA line, based on the ATR (Average True Range).
Price & Volume Breakout Fibonacci Probability [TradeDots]📝 OVERVIEW
The "Price & Volume Breakout Fibonacci Probability" indicator is designed to detect the probability of the maximum run-up and drawdown of each breakout trade on an asset, assisting traders in optimizing their take profit and stop loss strategies.
🧮 CALCULATIONS
The algorithm detects price and volume breakouts to activate the Fibonacci levels displayed on the chart. It calculates these levels using the period pivot high and low, with the close price of the breakout bar as the reference price.
The indicator then forward-tests within an user-selected number of bars, detecting the maximum run-up and drawdown during that period. Consequently, it calculates the probability of the price hitting either side of the Fibonacci levels, showing the likelihood of reaching take profit and stop loss targets for each breakout trade.
📊 EXAMPLE
The above example shows two breakout trades, circled within the yellow rectangle zone.
The first trade has a maximum run-up above the +0.382 Fibonacci level zone and a maximum drawdown below the -0.618 Fibonacci level zone.
When the price reaches the maximum run-up, it only has a ~45% probability of moving further upward into the last two zones (25% + 19.44%). This indicates that setting a take profit at a higher level may have less than a 50% chance of success.
Conversely, when the price reaches its maximum drawdown, there is only an ~8% probability of moving further downward into the last drawdown zone. This could indicate a potential reversal.
⚙️ SETTINGS
Breakout Condition: Determines the type of breakout condition to track: "Price", "Volume", "Price & Volume".
Backtest Period: The maximum run-up and drawdown are detected within this bar period.
Price Breakout Period: Specifies the number of bars the price needs to break out from.
Volume Breakout Period: Specifies the number of bars the volume needs to break out from.
Trendline Confirmation: Confirms that the close price needs to be above the trendline.
📈 HOW TO USE
By understanding the probabilities of price movements to both the upside and downside, traders can set take profit and stop loss targets with greater accuracy.
For instance, placing a stop loss order below the zone with the highest probability minimizes the chances of being stopped out of a profitable trade. Conversely, setting a take profit target at the zone with the highest probability increases the win rate.
Additionally, if the price breaches multiple Fibonacci levels during the breakout period, it may indicate an abnormal state, signaling a potential reversal or pullback. This can help traders exit trades in a timely manner.
Traders can adjust their take profit and stop loss levels based on their individual risk tolerance.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Low Volatility Range Breaks [BigBeluga]Low Volatility Range Breaks
The Low Volatility Range Breaks indicator is an advanced technical analysis tool designed to identify periods of low volatility and potential breakout opportunities. By visualizing low volatility ranges as ranges and tracking subsequent price movements, this indicator helps traders spot potential high-probability trade setups.
🔵 KEY FEATURES
● Low Volatility Detection
Identifies periods of low volatility based on highest and lowest periods and user-defined sensitivity
Uses a combination of highest/lowest price calculations and ATR for dynamic adaptation
● Volatility Box Visualization
Creates a box to represent the low volatility range
Box height is adjustable based on ATR multiplier
Includes a mid-line for reference within the box
● Breakout Detection
Identifies when price breaks above or below the volatility box
Labels breakouts as "Break Up" or "Break Dn" on the chart
Changes box appearance to indicate a completed breakout
● Probability Tracking
Counts the number of closes above and below the box's mid-line
Displays probability counters for potential upward and downward moves
Resets counters after a confirmed breakout
🔵 HOW TO USE
● Identifying Low Volatility Periods
Watch for the formation of volatility boxes on the chart
These boxes represent periods where price movement has been confined
● Anticipating Breakouts
Monitor price action as it approaches the edges of the volatility box
Use the probability counters to gauge the likely direction of the breakout
● Trading Breakouts
Consider posible entering trades when price breaks above or below the volatility box
Use the breakout labels ("Break Up" or "Break Dn") as a trading opportunity
● Managing Risk
Use the opposite side of the volatility box as a potential invalidation level
Consider the box height for position sizing and risk management
● Trend Analysis
Multiple upward breakouts may indicate a developing uptrend
Multiple downward breakouts may suggest a forming downtrend
Use in conjunction with other trend indicators for confirmation
🔵 CUSTOMIZATION
The Low Volatility Box Breaks indicator offers several customization options:
Adjust the volatility length to change the period for highest/lowest price calculations
Modify the volatility level to fine-tune the sensitivity of low volatility detection
Adjust the box height multiplier to change the size of volatility boxes
By fine-tuning these settings, traders can adapt the indicator to various market conditions and personal trading strategies.
The Low Volatility Range Breaks indicator provides a unique approach to identifying potential breakout opportunities following periods of consolidation. By visually representing low volatility periods and tracking subsequent price movements, it offers traders a powerful tool for spotting high-probability trade setups.
This indicator can be particularly useful for traders focusing on breakout strategies, mean reversion tactics, or those looking to enter trades at the beginning of new trends. The combination of visual cues (boxes and breakout labels) and quantitative data (probability counters) provides a comprehensive view of market dynamics during and after low volatility periods.
As with all technical indicators, it's recommended to use the Low Volatility Range Breaks indicator in conjunction with other forms of analysis and within the context of a well-defined trading strategy. While this indicator can provide valuable insights into potential breakouts, it should be considered alongside other factors such as overall market trends, volume, and fundamental analysis when making trading decisions.
Jurik Price Bands and Range Box [BigBeluga]Jurik Price Bands and Range Box
The Jurik Price Bands and Range Box - BigBeluga indicator is an advanced technical analysis tool that combines Jurik Moving Average (JMA) based price bands with a dynamic range box. This versatile indicator is designed to help traders identify trends, potential reversal points, and price ranges over a specified period.
🔵 KEY FEATURES
● Jurik Price Bands
Utilizes Jurik Moving Average for smoother, more responsive bands
//@function Calculates Jurik Moving Average
//@param src (float) Source series
//@param len (int) Length parameter
//@param ph (int) Phase parameter
//@returns (float) Jurik Moving Average value
jma(src, len, ph) =>
var float jma = na
var float e0 = 0.0
var float e1 = 0.0
var float e2 = 0.0
phaseRatio = ph < -100 ? 0.5 : ph > 100 ? 2.5 : ph / 100 + 1.5
beta = 0.45 * (len - 1) / (0.45 * (len - 1) + 2)
alpha = math.pow(beta, phaseRatio)
e0 := (1 - alpha) * src + alpha * nz(e0 )
e1 := (src - e0) * (1 - beta) + beta * nz(e1 )
e2 := (e0 + phaseRatio * e1 - nz(jma )) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * nz(e2 )
jma := e2 + nz(jma )
jma
Consists of an upper band, lower band, and a smooth price line
Bands adapt to market volatility using Jurik MA on ATR
Helps identify potential trend reversal points and overextended market conditions
● Dynamic Range Box
Displays a box representing the price range over a specified period
Calculates high, low, and mid-range prices
Option for adaptive mid-range calculation based on average price
Provides visual representation of recent price action and volatility
● Price Position Indicator
Shows current price position relative to the mid-range
Displays percentage difference from mid-range
Color-coded for quick trend identification
● Dashboard
Displays key information including current price, range high, mid, and low
Shows trend direction based on price position relative to mid-range
Provides at-a-glance market context
🔵 HOW TO USE
● Trend Identification
Use the middle of the Range Box as the primary trend reference point
Price above the middle of the Range Box indicates an uptrend
Price below the middle of the Range Box indicates a downtrend
The bar on the right shows the percentage distance of the close from the middle of the box
This percentage indicates both trend direction and strength
Refer to the dashboard for quick trend direction confirmation
● Potential Reversal Points
Upper and lower Jurik Bands can indicate potential trend reversal points
Price reaching or exceeding these bands may suggest overextended conditions
Watch for price reaction at these levels for possible trend shifts or pullbacks
Range Box high and low can serve as additional reference points for price action
● Range Analysis
Use Range Box to gauge recent price volatility and trading range
Mid-range line can act as a pivot point for short-term price movements
Percentage difference from mid-range helps quantify price position strength
🔵 CUSTOMIZATION
The Jurik Price Bands and Range Box indicator offers several customization options:
Adjust Range Box length for different timeframe analysis
Toggle between standard and adaptive mid-range calculation
Standard:
Adaptive:
Modify Jurik MA length and deviation for band calculation
Toggle visibility of Jurik Bands
By fine-tuning these settings, traders can adapt the indicator to various market conditions and personal trading strategies.
The Jurik Price Bands and Range Box indicator provides a multi-faceted approach to market analysis, combining trend identification, potential reversal point detection, and range analysis in one comprehensive tool. The use of Jurik Moving Average offers a smoother, more responsive alternative to traditional moving averages, potentially providing more accurate signals.
This indicator can be particularly useful for traders looking to understand market context quickly, identify potential reversal points, and assess current market volatility. The combination of dynamic bands, range analysis, and the informative dashboard provides traders with a rich set of data points to inform their trading decisions.
As with all technical indicators, it's recommended to use the Jurik Price Bands and Range Box in conjunction with other forms of analysis and within the context of a well-defined trading strategy. While this indicator provides valuable insights, it should be considered alongside other factors such as overall market conditions, volume, and fundamental analysis when making trading decisions.
SUPER EMA SMA 16x [GUSLM]█ Author's Note:
After extensively reviewing the EMA and SMA consolidation tools in the TradingView library, I found that none fully met my expectations or those of friends and colleagues. Some tools were too specific or not configurable enough, with varying sensitivities. Others lacked options or produced many invalid and incorrect ranges when viewed across different timeframes. Some were fixed in their options, others did not allow visualization on different timeframes or lacked crossover signals and customization options for turning each option on or off. Additionally, there was no custom function to view one or more configurable moving averages from different timeframes in the current view, serving as a time-saving shortcut to avoid switching between timeframes to record values. Consequently, I decided to develop my own tool. I hope that you, fellow traders, find it valuable and enjoy using it.
█ Description:
The GUSLM SUPER EMA SMA 16x allows traders to configure and visualize multiple labeled trendlines for various periods on a single chart, all at once. highlighting how prices move over time. It enables simultaneous display of trendlines for different timeframes, with customizable colors and thicknesses. Designed for traders who use moving averages in their strategies, it simplifies the analysis of key moving averages like the 200-period, 100 50 12 26 and 20-period etc, offering a clear, configurable tool to try to identify reactions, trends, supports, and resistances.. This indicator employs algorithms to detect and show signals where price movements are confined, all that can be usefull for helping traders spot potential breakout zones and make informed trading decisions.
█ Key Features:
► Customizable Timeframes: Display in one, multiple moving averages and exponential moving averages across various timeframes (weekly, daily, hourly, and 4-hour) to tailor analysis to your trading strategy.
► Adjustable Display Settings: Choose which moving averages to display and customize their visual characteristics, including color and line width, to match your chart preferences.
► Dynamic Alerts: Activate signals for different timeframes with customizable visual cues, including background color changes and shape indicators to highlight key trading signals.
► Clear Visual Indicators: Enhance chart readability with distinct colors and shapes for different types of moving averages and also crossover events, providing immediate visual feedback for trading decisions.
█ User-Defined Inputs:
► Moving Averages Display Options:
Weekly: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
Daily: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
Hourly: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
4-Hour: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
► Line Width Adjustments:
Hourly, Daily, Weekly, 4-Hour
► Color Options for each range and or individually
► Options for type and Signal; Weekly: On/Off Daily: On/Off Hourly: On/Off 4-Hour: On/Off
► Background color change and arrow shapes for crossover and crossunder signals
█ How It Works:
► Range Detection: The indicator scans the charts in different timeframes of the same asset, based on options, and plot them on the actual view, even if they are from another timeframe. And label it based on configuration, telling wich one is from where as H 4h W etc, and its lenght and range. also for collors widths etc. It calculates the average or exponential average price from other timeframes, and plot it in the current view.
► Visualization: Validated ranges and lines are highlighted on the chart with colored optimized lines, providing a clear visual cue of potential zones.
█ Usage Examples:
► Example 1:
You can configure the ranges you want and timeframes you want and see how it interact with the prices. and can expect eventual future reactions.
█ Practical Applications:
► Identify and Confirm Breakout Zones: Use the lines to identify potential breakout zones and limits, Ex: if is there a key level above your breakout, you may expect a reaction, maybe changing your plan to make an entrance above the initial resistance, you can see eventual resistance and support zones. helping to anticipate significant price movements.
► Identify Key Price Levels: The tool helps in pointing key price levels where there is a high probability of significant price reactions, providing crucial insights for trading strategies.
► Enhance Technical Analysis: Integrate the SUPER EMA SMA 16x into your existing technical analysis toolkits to improve the accuracy of your trading decisions.
█ Conclusion:
The SUPER EMA SMA 16x is a powerful tool, for traders looking to identify periods of price consolidation, support and resistance levels and potential confirmation for breakout zones. Serving as a time-saving shortcut with its customizable settings and algorithms, it provides a reliable and visual method to enhance your trading strategy. Whether you're a beginner or an experienced trader, this indicator can add significant value to your technical analysis.
█ Cautionary Note:
While the SUPER EMA SMA 16x is a powerful tool to see many relevant SMAS and EMAS and signals, it's important to combine it with other indicators and analysis methods for comprehensive trading decisions. Always consider market context and external factors when interpreting detected consolidation ranges.
DSL Oscillator [BigBeluga]DSL Oscillator BigBeluga
The DSL (Discontinued Signal Lines) Oscillator is an advanced technical analysis tool that combines elements of the Relative Strength Index (RSI), Discontinued Signal Lines, and Zero-Lag Exponential Moving Average (ZLEMA). This versatile indicator is designed to help traders identify trend direction, momentum, and potential reversal points in the market.
What are Discontinued Signal Lines (DSL)?
Discontinued Signal Lines are an extension of the traditional signal line concept used in many indicators. While a standard signal line compares an indicator's value to its smoothed (slightly lagging) state, DSL takes this idea further by using multiple adaptive lines that respond to the indicator's current value. This approach provides a more nuanced view of the indicator's state and momentum, making it easier to determine trends and desired states of the indicator.
🔵 KEY FEATURES
● Discontinued Signal Lines (DSL)
Uses multiple adaptive lines that respond to the indicator's value
Provides a more nuanced view of the indicator's state and momentum
Helps determine trends and desired states of the indicator more effectively
Available in "Fast" and "Slow" modes for different responsiveness
Acts as dynamic support and resistance levels for the oscillator
● DSL Oscillator
Based on a combination of RSI and Discontinued Signal Lines
// Discontinued Signal Lines
dsl_lines(src, length)=>
UP = 0.
DN = 0.
UP := (src > ta.sma(src, length)) ? nz(UP ) + dsl_mode / length * (src - nz(UP )) : nz(UP )
DN := (src < ta.sma(src, length)) ? nz(DN ) + dsl_mode / length * (src - nz(DN )) : nz(DN )
Smoothed using Zero-Lag Exponential Moving Average for reduced lag
// Zero-Lag Exponential Moving Average function
zlema(src, length) =>
lag = math.floor((length - 1) / 2)
ema_data = 2 * src - src
ema2 = ta.ema(ema_data, length)
ema2
Oscillates between 0 and 100
Color-coded for easy interpretation of market conditions
● Signal Generation
Generates buy signals when the oscillator crosses above the lower DSL line below 50
Generates sell signals when the oscillator crosses below the upper DSL line above 50
Signals are visualized on both the oscillator and the main chart
● Visual Cues
Background color changes on signal occurrences for easy identification
Candles on the main chart are colored based on the latest signal
Oscillator line color changes based on its position relative to the DSL lines
🔵 HOW TO USE
● Trend Identification
Use the color and position of the DSL Oscillator relative to its Discontinued Signal Lines to determine the overall market trend
● Entry Signals
Look for buy signals (green circles) when the oscillator crosses above the lower DSL line
Look for sell signals (blue circles) when the oscillator crosses below the upper DSL line
Confirm signals with the triangles on the main chart and background color changes
● Exit Signals
Consider exiting long positions on exit signals and short positions on Entery signals
Watch for the oscillator crossing back between the DSL lines as a potential early exit signal
● Momentum Analysis
Strong momentum is indicated when the oscillator moves rapidly towards extremes and away from the DSL lines
Weakening momentum can be spotted when the oscillator struggles to reach new highs or lows, or starts converging with the DSL lines
The space between the DSL lines can indicate potential momentum strength - wider gaps suggest stronger trends
● Confirmation
Use the DSL lines as dynamic support/resistance levels for the oscillator
Look for convergence between oscillator signals and price action on the main chart
Combine signals with other technical indicators or chart patterns for stronger confirmation
🔵 CUSTOMIZATION
The DSL Oscillator offers several customization options:
Adjust the main calculation length for the DSL lines
Choose between "Fast" and "Slow" modes for the DSL lines calculation
By fine-tuning these settings, traders can adapt the DSL Oscillator to various market conditions and personal trading strategies.
The DSL Oscillator provides a multi-faceted approach to market analysis, combining trend identification, momentum assessment, and signal generation in one comprehensive tool. Its dynamic nature and visual cues make it suitable for both novice and experienced traders across various timeframes and markets. The integration of RSI, Discontinued Signal Lines, and ZLEMA offers traders a sophisticated yet intuitive tool to inform their trading decisions.
The use of Discontinued Signal Lines sets this oscillator apart from traditional indicators by providing a more adaptive and nuanced view of market conditions. This can potentially lead to more accurate trend identification and signal generation, especially in markets with varying volatility.
Traders can use the DSL Oscillator to identify trends, spot potential reversals, and gauge market momentum. The combination of the oscillator, dynamic signal lines, and clear visual signals provides a holistic view of market conditions. As with all technical indicators, it's recommended to use the DSL Oscillator in conjunction with other forms of analysis and within the context of a well-defined trading strategy.
Power Trends [UkutaLabs]█ OVERVIEW
The Power Trends Indicator is a versatile trading toolkit that offers unique insight into key price levels in the market. This script uses currently relevant price-action information to automatically detect pivot levels and use them to create powerful trendlines.
The aim of this script is to improve the trading experience of users by offering a versatile toolkit that can be used in a wide variety of trading strategies to help simplify the complexities of the market.
█ USAGE
The Power Trends Indicator will automatically identify pivot points in real-time using recent price-action information to ensure that all points being identified are relevant. Using these pivot points, the script then draws powerful trend lines that can be used as levels of resistance and support.
To ensure that only the most relevant information is being presented, only the most recent trend lines will be displayed on the user’s charts. As new trend lines are being drawn, older trend lines will become thinner so that traders can identify the most relevant lines at a glance.
The price of the most recent high and low pivot points will also be displayed on the chart and can be used as further levels of resistance and support.
When a recent pivot level is broken, it will be identified as a Break of Structure. This signifies that there may have been a change in market strength.
The Power Trends Indicator also supports multiple time frame mapping, allowing you to mirror the trend lines that would be drawn on higher time frame charts onto lower time frame charts. This feature allows traders to be aware of the market structure of multiple charts at a glance from a single chart.
When mirroring some higher time frame trend lines, lines may appear to not align properly with current time frame bars. This is done intentionally to ensure lines are being drawn accurately to their position on the higher time frame charts.
█ SETTINGS
Current Time Frame
• Display (On/Off): Determines whether or not trend lines are drawn from the current time frame.
• High Color: Determines the color of trend lines drawn on high pivots.
• Low Color: Determines the color of trend lines drawn on low pivots.
5 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 5 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 5 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 5 minute higher time frame.
15 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 15 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 15 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 15 minute higher time frame.
30 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 30 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 30 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 30 minute higher time frame.
60 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 60 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 60 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 60 minute higher time frame.
240 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 240 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 240 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 240 minute higher time frame.
Daily (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the daily time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the daily higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the daily higher time frame.
Bitcoin Destiny Line Model v1.1The Bitcoin Destiny Line Model
Table of Contents
1. Overview
2. Analytical and Technical Techniques Employed
3. Objectives of the Bitcoin Destiny Line Model
4. Key Technical Components and Functionalities
4.1. Bitcoin Destiny Line and Heatmap
4.2. Halving Cycles Markers
4.3. Dynamic Repricing Rails with Diminishing Volatility Adjustment
4.4. Seasonal Dynamics
4.5. Support and Resistance Zones
4.6. Market Action Indicators
4.7. Cycle Projections
4.8. Heatmap Only
5. Settings
6. Different Strategies to Utilize the Model
6.1. Value-Based Entry Strategy
6.2. Long-Term Position Strategy
6.3. Scaling Out Strategy
6.4. Portfolio Rebalancing Strategy
6.5. Bear Market Strategy
6.6. Short-Term Trading Strategy
7. Recommendations and Disclosures
1. Overview
The Bitcoin Destiny Line Model is a technical analysis toolset designed exclusively for Bitcoin. It integrates a comprehensive suite of analytical methodologies to provide deep insights into Bitcoin's market dynamics focusing on long-term investment strategies.
By analyzing historical data through various technical frameworks, the model helps investors gain insight into the current market structure, cycle dynamics, direction, and trend of Bitcoin, assisting investors and traders with data-driven decision-making.
2. Analytical and Technical Techniques Employed
The model integrates a range of analytical techniques:
Cycle Analysis - Centers on the Bitcoin halving event to anticipate phases within the Bitcoin cycle.
Logarithmic Regression Analysis - Calculates the logarithmic growth of Bitcoin over time.
Standard Deviation - Measures how significantly the price action differs from the long-term logarithmic trend.
Fibonacci Analysis - Identifies support and resistance levels.
Multi-Timeframe Momentum - Analyzes overbought or oversold conditions across multiple periods.
Trendlines - Draws trendlines from expected cycle lows to expected cycle highs extending logarithmic and deviation lines into the future as projection lines.
3. Objectives of the Bitcoin Destiny Line Model
The model is crafted to deliver an empirical framework for Bitcoin investing:
Bitcoin Market Structure - Offers insights into Bitcoin’s market structure.
Identify Value Opportunities and Risk Areas - Pinpoints potential value-entry opportunities and recognizes when the market is over-extended.
Leverage Market Cycles - Utilizes knowledge of Bitcoin’s seasonal dynamics and halving cycles to inform investment strategies.
Mitigate Downside Risk - Provides indicators for potential market corrections, aiding in risk management and avoidance of buying at peak prices.
4. Key Technical Components and Functionalities
4.1. Bitcoin Destiny Line and Heatmap
The cycle low to cycle high line with a risk-based color-coded heatmap serves as a central reference for Bitcoin’s price trajectory.
It emphasizes the long-term trend indicating areas of value in cool colors and areas of risk in warm colors.
4.2. Halving Cycles Markers
Bitcoin halving events are marked on the chart with vertical lines forming anchor points for cycle analysis.
4.3. Dynamic Repricing Rails with Diminishing Volatility Adjustment
Repricing rails based on the long-term logarithmic trend highlight the rails on which Bitcoin's price will reprice up or down.
Adjusts to the diminishing volatility of the asset over time as it matures.
4.4. Seasonal Dynamics
Integrates Bitcoin's inherent seasonal trends to provide additional context for market conditions aligning with broader market analysis.
Understanding Bitcoin’s seasons:
Spring Awakening - The initial recovery phase where the market begins to rebound from a bear market showing early signs of improvement. This is an ideal time for cautious optimism. Investors should consider gradually increasing their positions in Bitcoin, focusing on accumulation as confidence in market recovery grows.
Blossom Boom - A market bottom has been confirmed by now and market interest continues to pick up ahead of the Bitcoin halving. This typically presents a great opportunity for investors to position themselves advantageously ahead of expected price movements. It’s a good time to review and adjust portfolios to align with anticipated trends.
Midsummer Momentum - This phase follows the Bitcoin halving, characterized by a sideways to upward price trend often supported by heightened interest and media coverage. It represents potentially the last opportunity in the cycle for investors to purchase Bitcoin at lower price levels unlikely to be seen again. Investors should closely monitor the market for value buying opportunities to bolster their long-term investment strategies.
Rocket Rise - A phase where Bitcoin prices are likely to surge dramatically driven by a mix of Fear of Missing Out (FOMO) among new investors and widespread media hype. The strategy here is twofold: long-term holders should hold steady to reap maximum gains whereas more speculative investors might look to capitalize on the volatility by taking profits at optimal moments before a potential correction.
Winter Whispers - Following a bull run, the market begins to cool, marked by some investors taking profits and consequently increasing price fluctuations and volatility. During this time, investors should remain vigilant, tightening stop-loss orders to safeguard gains. This phase may be suitable for those looking to liquidate a portion of their long-term investments. However, for an investor to be selling the majority of their Bitcoin holdings is generally not advisable as it could preclude benefiting from potential future appreciations.
Deep Freeze - The market enters a bearish phase with significant price declines and market corrections. It's a period of consolidation and resetting of price levels. The end of this stage could typically be seen as a buying opportunity for the long-term investor. Accumulating Bitcoin during this phase can be advantageous as prices are lower and provide a foundation for significant growth in the next cycle.
4.5. Support and Resistance Zones
Calculates key levels that inform stop-loss placements and trading size decisions enhancing trading strategy around the Bitcoin Destiny Line.
4.6. Market Action Indicators
Suggests potential trading actions for different market phases aiding traders in identifying investment/trading opportunities.
Risk Indicator - Signals when prices are extremely over-extended helping to avoid entries during potential peak valuations.
4.7. Cycle Projections
Extends repricing levels into the future providing a visual forecast of expected price movements and enhancing strategic planning capabilities.
Cycle-High Price Projection Range - Provides a probabilistic range for upcoming cycle peaks based on historical trends and current market analysis.
4.8. Heatmap Only
It is also possible to plot the heatmap only as a background or as a bar in a second indicator.
4.9. Complete Visual View
A complete view of all key elements switched on the model.
5. Settings
Users can select to only show specific elements or all elements of the model.
They can set the sensitivity of some of the model elements and adjust certain view settings.
6. Different Strategies to Utilize the Model
The following strategies are enabled by the Bitcoin Destiny Line model:
6.1. Value-Based Entry Strategy
Investors can optimize their investment strategy by deploying investable cash either as a lump sum or on a dollar-cost averaging basis upon the display of a value indicator (Up-Triangles) which signals the highest probability for value entries.
6.2. Long-Term Position Strategy
As an alternative, investors may prefer to continue deploying investable funds while cooler colors (green or blue) are displayed on the value map, indicating favorable conditions for long-term positions.
6.3. Scaling Out Strategy
Investors may choose to scale out some of their investment upon the display of a risk indicator (circles) reducing exposure to potential downturns.
6.4. Portfolio Rebalancing Strategy
A sound strategy can also be to follow a portfolio rebalancing approach by deploying available investable cash upon the display of a value indicator. Rebalance the portfolio to maintain 25% in cash upon the display of a risk indicator. Adjust this ratio as subsequent risk indicators are triggered, deploying available cash upon future value signals.
6.5. Bear Market Strategy
In a bear market, traders may seek short positions upon the display of the Continued Downward Momentum indicator (Down Triangles) capitalizing on declining market trends.
6.6. Short-Term Trading Strategy
Traders can use hourly or 4-hourly data along with the daily Price Rails and Heatmap Bar for short-term positions. They may incorporate other preferred indicators such as RSI for entry/exit decisions.
7. Recommendations and Disclosures
Investors are recommended to take a prudent approach. It is not recommended for investors to scale out completely or significantly reduce the largest portion of their long-term Bitcoin positions in hopes of buying back at lower prices unless they have a compelling reason to do so. The future market conditions may not replicate past opportunities making this strategy uncertain. However, scaling out a smaller portion such as 25% can offer a high potential for an asymmetric risk-reward ratio. This approach is likely to provide a higher risk-adjusted return compared to traditional dollar-cost averaging or random lump sum adjustments.
The Bitcoin Destiny Line Model leverages 13.5 years of available price data across four complete Bitcoin market cycles.
While each additional cycle enriches the model's robustness and enhances the reliability of its forecasts, it is crucial for users to understand that historical trends are indicative of probable future directions and potential price ranges. Users should be cognizant that past performance is not a definitive predictor of future results and should not be the sole basis for investment decisions.
[Support and Resistance with Trend Lines] with Backtest (TSO) with Backtest (TSO)
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This indicator serves as a comprehensive full-cycle trading system, providing alerts at each stage of the trade, from opening to closure. The algorithm uses most recent and historical S&R (Support and Resistance) levels with most recent and historical Trend Lines, generating signals for trades when Breaks/Bounces occur (Trade Open Signal triggers can be configured via very customizable indicator Input "Signal Trigger Matrix" settings). With signal for trade open, TP (Take Profit and SL (Stop Loss) levels are calculated as well and marked on the chart including alerts for each action of the trade. The indicator offers a variety of automated approaches for TP (Take-Profit) and SL (Stop-Loss) settings. These include static current/historical S&R (Support and Resistance) levels or S&R/Trend Lines dynamic breaks for TP (Take-Profit) and various SL (Stop-Loss) approaches, including ATR Trailing SL, opposite S&R (Support and Resistance) levels SL, opposite Trend Lines SL and more. This diverse set of tools ensure flexibility in tailoring TP (Take-Profit) and SL (Stop-Loss) parameters to different market conditions, contributing to a more adaptive and robust trading system. Additionally, a series of signal analysis tools, including market sentiment, candle bar analysis, divergence, and volume, enhance the precision of trading signals.
* Works with popular timeframes: 1M, 3M, 5M, 15M, 30M, 45M, 1H.
* Works well with Futures and Indices, can be used to trade Stocks, Crypto and FOREX.
* Includes LIVE alert/labels Breakouts and Bounces signal trigger feature, which can be used for scalping (NOTE: This approach cannot be backtested).
* Every action of the trade is calculated on a confirmed closed candle bar state (barstate.isconfirmed), so the indicator will never repaint.
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Indicator examples:
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Strategy Config: SRTL_MES_15M3Y_EODoff_ALL
Here is a nice example of MES (Micro E-Mini S&P 500 Index Futures) configuration, which uses S&R (Support and Resistance) breakouts as signal trigger with Elliot Wave confirmation and previous S&R historical levels for TP (Take-Profit).
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An example of an intraday Tesla trade. Also the green arrows will be displayed IMMEDIATELY when Breakout/Reverse Bounce occurs (same an Alert will be triggered immediately).
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Trading open/close/TP/SL labels, plots and colors explanations:
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>>> S&R (Support and Resistance) levels/lines: orange - support, blue - resistance (can be hidden).
>>> Trend Lines: yellow - support, green - resistance (can be hidden).
>>> Blue labels show resistance breakouts and bounces, light-blue - bullish, dark-blue - bearish
>>> Yellow labels show resistance breakouts and bounces, light-yellow - bullish, dark-yellow - bearish
>>> Green/Red arrows on top/bottom of candle bar will show LIVE breakouts (if turned on)
>>>>> LONG open: green "house" looking arrow below candle bar.
>>>>> SHORT open: red "house" looking arrow above candle bar.
>>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles).
>>>>> LONG/SHORT stop-loss target: green/red + crosses.
>>>>> LONG/SHORT take-profit hits: green/red diamonds.
>>>>> LONG/SHORT stop-loss hits: green/red X-crosses.
>>>>> LONG/SHORT EOD (End of Day | Intraday style) close (profitable trade): green/red squares.
>>>>> LONG/SHORT EOD (End of Day | Intraday style) close (loss trade): green/red PLUS(+)-crosses.
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STATS TABLE ///////////////////////////////////////////////////////////////
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>>> Trading STATS table on the chart showing current trade direction, Last TP (Take-Profit) Taken, Current Trade PL (profit/loss in price difference from trade open to the very current state).
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CUSTOM TRADING DATE RANGE /////////////////////////////////////////////////
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>>>>> This feature can be used to manually set indicator trading range from and to a specific date and time. NOTE: This is not intended for a very long date range backtesting, utilize TradingView Strategy Tester for that.
* Use TradingView “Strategy Tester” to see Backtesting results
NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case - manually check “Start”/“End” dates or use “Deep Backtesting” feature!
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INTRADAY ACTIVE TRADING SESSION CONFIGURATION /////////////////////////////
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>>> Regional Active Trading Session Hours Schedule: If selected - trades will only open during regional active trading session, if 'OFF', there will be no trading schedule and trades will open 24/7.
>>> EOD(End of Day) Close - On/Off: Close the trade if it's still open at the end of active trading session (on the very last candle bar). NOTE: If no region is selected at 'Regional Active Trading Session Schedule' - there will be no EOD(End of Day) Close and trades will run overnight until either SL(Stop-Loss) or TP(Take-Profit) is hit!
>>>>> EOD(End of Day) Close - 1 candle bar before last: This is specifically for stocks as while usually indices can be closed 15minutes after the market closes, for stocks - the last candle bar closes at the same time with the market active trading session, which if closed - trades can't be closed until next day/session! Enable this setting for the trade to close/alert 1 candle bar before the last one, so there is still time to close the trade at the Broker (NOTE: depending on the timeframe, 1 candle bar can be: 15sec, 30sec, 1min, 3min, 5min, 15min, 30min, 45min, 1h).
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SIGNAL TRIGGER MATRIX ////////////////////////////////////////////////
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>>> Trading Engine: This setting turns on TradingView Strategy trading engine for backtesting.
>>> Market Session Only: With this setting turned on, all signal trigger Breaks/Bounces will be hidden during Pre/Post market time.
>>> Plot S&R Levels/Lines: Plot S&R (Support and Resistance) on chart. Note: historical levels/lines will only be plotted if hit (Break/Bounce).
>>> Plot Trend Lines Levels/Lines: Plot Trend Lines levels/lines on chart. Note: historical levels/lines will only be plotted if hit (Break/Bounce).
>>> Use S&R Current Levels | Use S&R Historical Levels | Use Trend Lines Current Levels | Use Trend Lines Historical Levels |: Choose which levels should be used for Breaks/Bounces to be captured on. If all triggers are turned on/checked - whatever happens 1st wins the trigger.
>>> Breaks | Bounces: 'Breaks': Turn on Breaks through levels/lines signal trigger. | 'Bounces': Turn on Bounces off levels/lines signal trigger.
>>> Signal: Regular | Signal: S&R Combo | Signal: TL Combo | Signal: S&R + TL Combo | Signal: Repeat Action |: Trade open signal trigger execution approach MATRIX (If 1 or more turned on at the same time - whatever comes first will be the trade signal trigger). 'Regular': A single Break/Bounce must occur on a closed bar for signal trigger. 'S&R Combo': A combination of 2 Current + Historical S&R (Support and Resistance) Break/Bounce must happen in the same direction on same bar for signal trigger. 'TL Combo': A combination of 2 Current + Historical Trend Lines Break/Bounce must happen in the same direction on same bar for signal trigger. 'S&R + TL Combo': a combination of ANY S&R and Trend Line Break/Bounce must happen in the same direction on same bar for signal trigger. 'Repeat Action': Initial and then confirmation (2nd/3rd/etc. consecutive occurence) Break/Bounce must occur on same level/line for signal trigger.
>>> Historical - Look Back (# of days): How far back (in # of days) will historical S&R/Trend Lines will be used for Trade Open signals/TP/SL/etc.
>>> Historical - Look Back Invalidation (# of days): IF THERE IS TOO MUCH HISTORICAL LEVELS/LINES ON CHART - LOWER THIS SETTING + MAKE SURE IT'S SMALLER THAN 'Historical - Look Back (# of days)'. With big Look back period (5+ days) - it can become very messy with too many historical levels/lines. To clear oldest historical levels/lines - set Look Back Invalidation # of days to less than Historical Look Back # of days. (After X # of Look Back Invalidation days - older levels/lines will become invalidated and no longer used for opening trades/TP (Take-Profit)/SL (Stop-Loss), while newer levels/lines will still be discovered.
>>> S&R/Trend Lines - Support/Resistance combined into 1 entity: Every level or a line becomes simply a level or a line, regardless if it originally was a support or resistance. By default, depending on the level/line originally being support or resistance - the signal direction will be such as: Resistance is broken > LONG / bounced > SHORT; Support is broken > SHORT / bounced > LONG; with this setting on, either level or line can be both broken or bounced off in ANY direction, trade open direction will depend on current market sentiment only.
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S&R CONFIGURATION ////////////////////////////////////////////////
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>>> S&R Search - Left Bars (current): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with below - Right Bars).
>>> S&R Search - Right Bars (current): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with above - Left Bars).
>>> S&R Search - Custom Resolution (current): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> S&R Search - Left Bars (historical): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with below - Right Bars).
>>> S&R Search - Right Bars (historical): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with above - Left Bars).
>>> S&R Search - Custom Resolution (historical): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> S&R - Historical S&R Levels - Extend to the right: Extend all S&R lines to the right.
>>> S&R (Current/Historical) - Live Breakout/Bounce - ALERT/SHOW: NOTE: Alert wlil trigger immediately at price Breaking thru or Bouncing off level/line and an arrow above /below the bar will show the direction of breakout/bounce. If on that same live bar - price comes back causing the Breakout/Bounce become no longer valid - the arrow will disappear as the condition of the Break/Bounce will no longer be valid.
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TREND LINES CONFIGURATION ////////////////////////////////////////////////
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>>> Show: Trend Line development (where it 'did not exist' yet): It takes 2 pivots to develop a trend line, pivot is established at least 3 candle bars later from where the pivot is. With this setting turned on - it will plot dashed lines where trend lines originated connecting the 1st and 2nd pivot point up to where the trend line became established (where in reality you would now be able to draw a certain trend line). Established already generated trend line are plotted with a solid line.
>>> Trend Lines - Line Slope Confirmation: LONG breakout will only be shown if trend line is goind downslope \. SHORT breakout will only be shown if trend line is goind upslope /.
>>> Trend Lines - Search - Left Bars (current): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Search - Right Bars (current): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Custom Resolution (current): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> Trend Lines - Search - Left Bars (historical): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Search - Right Bars (historical): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Custom Resolution (historical): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> Trend Lines - Historical Trend Lines - Extend to the right: Extend all Trend Lines to the right.
>>> Trend Lines (Current/Historical) - Live Breakout/Bounce - ALERT/SHOW: NOTE: Alert will trigger immediately at price Breaking thru or Bouncing off level/line and an arrow above /below the bar will show the direction of breakout/bounce. If on that same live bar - price comes back causing the Breakout/Bounce become no longer valid - the arrow will disappear as the condition of the Break/Bounce will no longer be valid.
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TAKE-PROFIT/STOP-LOSS CONFIGURATION ///////////////////////////////////////
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>>> TP (Take-Profit) System: 'S&R Static Current/Historical': TP (Take-Profit) is calculated using current/historical S&R (Support & Resistance) levels at trade open and remains static. 'S&R/Trend Lines Dynamic Breaks': TP (Take-Profit) is fully dynamic and will be trigger at price above trade open price and with Breakout occurence (S&R or Trend Line current/historical breakout).
>>> TP (Take-Profit) # of targets: It is wise to divide the trade into several profit targets. With this setting - up to 5 TP (Take-Profit) targets can be approached. The trade will be equally divided up by the selected # of TP (Take-Profit) targets.
>>> SL (Stop-Loss) System: 'ATR-Trailing-SL': SL (Stop-Loss) is trail-following the ATR (Average True Range) line, NOTE: If at signal trigger, ATR will be against the trade direction - trade open signal will be skipped; 'S&R-Static-SL': SL (Stop-Loss) is set at trade open per optimal most recent S&R level and remains there until trade closes; 'TrendLines-Static-SL': SL (Stop-Loss) is set at trade open per optimal most recent trend line and remains there until trade closes; 'TrendLines-Dynamic-SL': SL (Stop-Loss) will be set per current opposite trend line and follow it until trade is open.; 'Oppos-Sig-Trd-in-Loss': SL (Stop-Loss) will trigger at opposite signal with trade currently at loss.
>>> SL (Stop-Loss) - On/Off: Without SL (Stop-Loss), unless EOD (End of Day) Close is turned on - there will be no SL (Stop-Loss) at all!
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MARKET SENTIMENT CONFIRMATION ///////////////////////////////////////
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>>> Market Sentiment: Signal is confirmed per Market Sentiment direction. If Market Sentiment is turned off - whatever signal comes 1st will be the trade open trigger.
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SIGNAL ANALYSIS AND CLEANUP ///////////////////////////////////////////////
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>>> Signal Cleanup - Bar Color: Include Bar Color (bullish/bearish) confirmation, LONG signal will only be opened if signal bar is green/bullish, SHORT if red/bearish.
>>> Signal Cleanup - Bar Directional Structure: Skip opposite bar structure types signals (For example: bearish green hammer).
>>> Signal Cleanup - Bar Doji Skip: Skip doji (indecisive) candles signals.
>>> Signal Cleanup - EWO (Elliott Wave Oscillator): Include EWO (Elliott Wave Oscillator), LONG will only be opened if EWO is bullish / SHORT if EWO is bearish.
>>> Signal Cleanup - VWAP (Volume-Weighted Average Price): Include VWAP (Volume-Weighted Average Price), LONG will only be opened if price is above VWAP / SHORT if price is below VWAP.
>>> Signal Cleanup - MA (Moving Average) Confirmation: Include MA (Moving Average), LONG will only be opened if MA is bullish / SHORT if MA is bearish.
>>> Signal Cleanup - ATR (Average True Range): Include ATR (Average True Range) confirmation, LONG will only be opened if ATR is bullish / SHORT if ATR is bearish.
>>> Signal Cleanup - Divergence(RSI + MACD): Include Divergence (RSI + MACD ) confirmation, LONG will only be opened if Divergence is bullish / SHORT if Divergence is bearish.
>>> Signal Cleanup - Volume % Strength: Include Volume strength/percentage confirmation, LONG/SHORT will only be opened with strong Volume matching the signal direction | By default, strong Volume percentage is set to 150% and weak to 50%.
>>> Signal Cleanup - Volume Above Average: Include Volume Above Moving Average (Volume closing bar closes above volume moving average) confirmation, LONG/SHORT will only be opened with Volume above average - Volume closed bar color must match the closed price color (bullish/bearish direction) + Volume bar must be closed above volume MA line).
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TP System - VERY IMPORTANT INFO!
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"TP PERCENTAGE" - amount by which current trade/position needs to be reduced/partially closed/sold.
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TP System: Dynamic
"TP PERCENTAGE" - will always be the same amount (trade/position size divided by the # of take-profit(TP) targets) and percentage to be closed will always be of the ORIGINAL trade/position.
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TP System: Static
"TP PERCENTAGE" - will always be the same amount IF take-profit(TP) targets are hit 1-by-1 (TP1 > TP2 > TP3 > TP4 > TP5), otherwise it will vary and unless it is a 1st take-profit(TP1), the REMAINING trade/position size will always be smaller than original and therefore the percentage to be closed will always be of the REMAINING trade/position and NOT the original one!
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"TP PERCENTAGE" CheatSheet (these are the only percentages you may see)
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TP PERCENTAGE---Close/Sell Amount-------------Example (trade size: 50 stocks)
20%-------------trade size * 0.2--------------50 * 0.2 = 10 stocks
25%-------------trade size * 0.25-------------50 * 0.25 = 12.5(~13) stocks
34%-------------trade size * 0.34-------------50 * 0.34 = 17 stocks
40%-------------trade size * 0.4--------------50 * 0.4 = 20 stocks
50%-------------trade size * 0.5--------------50 * 0.5 = 25 stocks
60%-------------trade size * 0.6--------------50 * 0.6 = 30 stocks
66%-------------trade size * 0.66-------------50 * 0.66 = 33 stocks
75%-------------trade size * 0.75-------------50 * 0.75 = 37.5(~38) stocks
80%-------------trade size * 0.8--------------50 * 0.8 = 40 stocks
100%------------trade size--------------------50 = 50 stocks
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If for any reason a portion of the current/remaining trade closed at such occurrence was slightly wrong, it is not an issue. Such occurrences are rare and with slight difference in partial TP closed is not significant to overall performance of our algorithms.
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Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot)
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Here is how a LONG OPEN alert looks like.
NOTE: Each label , , etc. is customizable, you can change the text of it within indicator Input settings.
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
LONG: OPEN
ENTRY: 20000
TP1: 20500
TP2: 21000
TP3: 21500
TP4: 22500
TP5: 23500
SL: 19000
Leverage: 0
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Here is how a TP1 alert will look with 5 TPs breakdown of the trade.
NOTE1: Next to TP1 taken it will show at which price it was triggered.
NOTE2: Next to "TP Percentage" it shows how much of the CURRENT/ACTIVE/REMAINING trade needs to be closed.
NOTE2: If TP2/3/4/5 comes before TP1 - the alert will tell you exactly how many percent of the trade needs to be closed!
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
LONG: TP1
TP1: 20500
TP Percentage: 20%
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Here is how an alert will look for LONG - STOP-LOSS.
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
ENTRY: 20000
LONG: SL
SL: 19000
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Here is how an alert will look for LONG - EOD (End of Day) In Profit close.
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
LONG: EOD-Close (profit)
ENTRY: 20000
EOD-Close: 21900
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Adding Alerts in TradngView
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-Add indicator to chart and make sure the correct strategy is configured (check Backtesting results)
-Right-click anywhere on the TradingView chart
-Click on Add alert
-Condition: Select this indicator by it’s name
-Immediately below, change it to "alert() function calls only", as other wise there will be 2 alerts for every alert!
-Expiration: Open-ended (that may require higher tier TradingView account, otherwise the alert will need to be occasionally re-triggered)
-Alert name: Whatever you desire
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
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Good Luck! (NOTE: Trading is very risky, past performance is not necessarily indicative of future results, so please trade responsibly!)
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NOTE: There seems to be a strange glitch when strategy is running live, it will show "double-take" take-profits labels on the chart. This is not affecting the script logic and backtesting results, if you simply change the timeframe real quick to something else then back - it will no longer show the duplicate orders... this must be some sort of a glitch as every alert was thoroughly tested to make sure everything is working!
Lin Reg (Linear Regression) Support and Resistance by xxMargauxLin Reg (Linear Regression) Support & Resistance by xxMargaux 💸
This indicator plots three linear regression lines (Lin Reg) on the price chart, providing insights into potential support and resistance levels. It calculates Lin Reg lines based on user-defined lengths and sources.
This indicator's settings were initially configured for MNQ1! (E-Mini Nasdaq 100 futures contracts). But works as intended on any security and on any timeframe.
When price is below a given Lin Reg line, that line will be red and may serve as resistance as price moves up towards the line. That is, it may be a potential short entry opportunity. When price is above a given Lin Reg line, that line will be green and may serve as support as price continues up from the line. That is, it may be a potential long entry opportunity.
When price starts to break sideways or down through the Lin Reg lines, this may signal a reversal from uptrend to downtrend. When price starts to break sideways or up through the Lin Reg Lines, this may signal a reversal from downtrend to uptrend. In very strong trends, breaking through the lines briefly may provide an entry opportunity, but be cautious because a trend reversal may also be possible.
Inputs:
Length of Price Lin Reg Lines: Customize the lengths of the three Lin Reg lines.
Source for Price Lin Reg Lines: Choose the source for each Lin Reg line.
Source for Security Price: Select the price source for the security.
Features:
Trend Analysis: Assists in visualizing price trends based on the relationship between the security price and Lin Reg lines, which will be colored according to whether price is above or below each Lin Reg line.
Customizable Colors: When price is above a Lin Reg line that line will be green. When price is below a Lin Reg line, that line will be red.
Here's a beginner-friendly explanation of linear regression lines 💡
Best-Fit Line: Imagine you have a scatter plot of closing prices on a chart. Linear regression aims to find the straight line that best fits the overall trend of these data points. It's like drawing a line through the center of the data that minimizes the distance between the line and each data point.
Trend Identification: Once the linear regression line is plotted on a price chart, it provides a visual representation of the trend. If the price is generally rising, the linear regression line will slope upwards. If the price is falling, the line will slope downwards. This helps traders identify whether the trend is bullish (upward) or bearish (downward).
Support and Resistance: Linear regression lines can also act as dynamic support and resistance levels. When the price is above the linear regression line, it may act as support, meaning the price tends to bounce off the line and continue higher. Conversely, when the price is below the line, it may act as resistance, with the price encountering selling pressure and potentially reversing lower.
Reversal Signals: Changes in the slope or direction of the linear regression line can signal potential trend reversals. For example, if the price breaks above a downward-sloping linear regression line, it may indicate a shift from a downtrend to an uptrend, and vice versa.
Adjustable Parameters: Traders can customize the length of the linear regression line by adjusting the period over which it's calculated. Shorter periods may be more sensitive to recent price changes, while longer periods may provide a smoother trend line.
RSI Confirm Trend with Williams (W%R)RSI Confirm Trend with Williams (W%R)
This is the "RSI Confirm Trend with Williams (W%R)" indicator
This is a modification of the "RSI Trends" indicator by zzzcrypto123.
What Is the Relative Strength Index (RSI)?
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security.
What is Williams %R?
Williams %R, also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
How Does "RSI Confirm Trend with Williams (W%R)" work?
This indicator combines the momentum of both RSI and Williams %R by adding upper and lower thresholds. When the thresholds are broken, this indicator changes color from gray to either green or red.
What Are The Thresholds?
The default RSI thresholds are 55 and 45. These values are configurable.
The default Williams %R thresholds are 80 and 20. These values are configurable and made positive so it can be plotted against the RSI line.
How To Use?
When the RSI exceeded the upper/lower thresholds, the RSI line color will change from gray to lighter green/red color.
When the Williams %R exceeded the upper/lower thresholds, the RSI color will change to darker green/red color signifying a strong momentum in that direction.
When the RSI color is gray, this means the RSI and Williams %R thresholds are not broken which can also signify as no trend or consolidation.
The Williams %R line is not displayed by default but can be enabled using the checkbox provided in the Style tab.
This "RSI Confirm Trend with Williams (W%R)" indicator can be combined with other technical indicators to verify the idea behind this theory.
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Disclaimer
The information contained in this indicator does not constitute any financial advice or a solicitation to buy or sell any securities of any type.
My scripts/indicators/ideas are for educational purposes only!
Smart Money Concepts [UAlgo]🔶 Description:
Smart Money Concepts (SMC) refer to a trading strategy that revolves around understanding and following the actions of institutional investors, such as banks and hedge funds, who are considered the “smart money” in the market. The concept is based on the idea that these institutions have more information and resources, and thus their market activities can indicate future market movements.
This script designed to be a tool that will automatically provide many features related to SMC concept for investors, offering a market structure analysis that includes the identification of order blocks, breaker blocks, and liquidity points. It also delineates premium and discount zones, highlights Fair Value Gaps (FVG), Volume Imbalance (VI) and Order Gap (OG) areas, providing users with a multifaceted view of market dynamics.
🔶 Key Features:
Market Structure Analysis : Simplifies the overview of market behavior, identifies market breakouts or trend continuation.
It detects the market structure as shown in the image below :
Order Blocks : Detects Order Blocks based on market structure analysis and volume characteristics. It draws these blocks and provides information such as volume.
Order Block Identification:
Breaker Blocks : Detects Breaker Blocks based on market structure analysis.
Breaker Block Identification:
When Order Block above is broken,
As you can see, it has now turned into a Bearish Breaker Block,
And it seems that the price is getting a reaction from this breaker block above.
Liquidity Sweeps : Tracks liquidity sweeps on both the buy and sell sides, offering traders a perspective on market momentum and potential shifts.
Multi-Timeframe Fair Value Gap (FVG), Volume Imbalance (VI), Order Gaps (OG) Detection : Detects Fair Value Gap (FVG), Volume Imbalance (VI) and Order Gaps (OG) based on different criteria such as price movements and volume characteristics. It marks these gaps/voids and provides visual cues for analysis.
Examle for FVG:
Premium & Discount Zone Analysis : Analyzes premium and discount zones, showing prices within these zones and highlighting equilibrium (0.5) levels.
Customizable Options : Provides various input parameters for customization, such as market structure length, sensitivity settings, display preferences, and mitigation methods.
Previous Key Levels : Identifies previous key levels include previous highs, lows, equilibrium points, and open prices across different timeframes such as daily, weekly, and monthly.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
ZigZag Library [TradingFinder]🔵 Introduction
The "Zig Zag" indicator is an analytical tool that emerges from pricing changes. Essentially, it connects consecutive high and low points in an oscillatory manner. This method helps decipher price changes and can also be useful in identifying traditional patterns.
By sifting through partial price changes, "Zig Zag" can effectively pinpoint price fluctuations within defined time intervals.
🔵 Key Features
1. Drawing the Zig Zag based on Pivot points :
The algorithm is based on pivots that operate consecutively and alternately (switch between high and low swing). In this way, zigzag lines are connected from a swing high to a swing low and from a swing low to a swing high.
Also, with a very low probability, it is possible to have both low pivots and high pivots in one candle. In these cases, the algorithm tries to make the best decision to make the most suitable choice.
You can control what period these decisions are based on through the "PiPe" parameter.
2.Naming and labeling each pivot based on its position as "Higher High" (HH), "Lower Low" (LL), "Higher Low" (HL), and "Lower High" (LH).
Additionally, classic patterns such as HH, LH, LL, and HL can be recognized. All traders analyzing financial markets using classic patterns and Elliot Waves can benefit from the "zigzag" indicator to facilitate their analysis.
" HH ": When the price is higher than the previous peak (Higher High).
" HL ": When the price is higher than the previous low (Higher Low).
" LH ": When the price is lower than the previous peak (Lower High).
" LL ": When the price is lower than the previous low (Lower Low).
🔵 How to Use
First, you can add the library to your code as shown in the example below.
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
Function "ZigZag" Parameters :
🟣 Logical Parameters
1. HIGH : You should place the "high" value here. High is a float variable.
2. LOW : You should place the "low" value here. Low is a float variable.
3. BAR_INDEX : You should place the "bar_index" value here. Bar_index is an integer variable.
4. PiPe : The desired pivot period for plotting Zig Zag is placed in this parameter. For example, if you intend to draw a Zig Zag with a Swing Period of 5, you should input 5.
PiPe is an integer variable.
Important :
Apart from the "PiPe" indicator, which is part of the customization capabilities of this indicator, you can create a multi-time frame mode for the indicator using 3 parameters "High", "Low" and "BAR_INDEX". In this way, instead of the data of the current time frame, use the data of other time frames.
Note that it is better to use the current time frame data, because using the multi-time frame mode is associated with challenges that may cause bugs in your code.
🟣 Setting Parameters
5. SHOW_LINE : It's a boolean variable. When true, the Zig Zag line is displayed, and when false, the Zig Zag line display is disabled.
6. STYLE_LINE : In this variable, you can determine the style of the Zig Zag line. You can input one of the 3 options: line.style_solid, line.style_dotted, line.style_dashed. STYLE_LINE is a constant string variable.
7. COLOR_LINE : This variable takes the input of the line color.
8. WIDTH_LINE : The input for this variable is a number from 1 to 3, which is used to adjust the thickness of the line that draws the Zig Zag. WIDTH_LINE is an integer variable.
9. SHOW_LABEL : It's a boolean variable. When true, labels are displayed, and when false, label display is disabled.
10. COLOR_LABEL : The color of the labels is set in this variable.
11. SIZE_LABEL : The size of the labels is set in this variable. You should input one of the following options: size.auto, size.tiny, size.small, size.normal, size.large, size.huge.
12. Show_Support : It's a boolean variable that, when true, plots the last support line, and when false, disables its plotting.
13. Show_Resistance : It's a boolean variable that, when true, plots the last resistance line, and when false, disables its plotting.
Suggestion :
You can use the following code snippet to import Zig Zag into your code for time efficiency.
//import Library
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
// Input and Setting
// Zig Zag Line
ShZ = input.bool(true , 'Show Zig Zag Line', group = 'Zig Zag') //Show Zig Zag
PPZ = input.int(5 ,'Pivot Period Zig Zag Line' , group = 'Zig Zag') //Pivot Period Zig Zag
ZLS = input.string(line.style_dashed , 'Zig Zag Line Style' , options = , group = 'Zig Zag' )
//Zig Zag Line Style
ZLC = input.color(color.rgb(0, 0, 0) , 'Zig Zag Line Color' , group = 'Zig Zag') //Zig Zag Line Color
ZLW = input.int(1 , 'Zig Zag Line Width' , group = 'Zig Zag')//Zig Zag Line Width
// Label
ShL = input.bool(true , 'Label', group = 'Label') //Show Label
LC = input.color(color.rgb(0, 0, 0) , 'Label Color' , group = 'Label')//Label Color
LS = input.string(size.tiny , 'Label size' , options = , group = 'Label' )//Label size
Show_Support= input.bool(false, 'Show Last Support',
tooltip = 'Last Support' , group = 'Support and Resistance')
Show_Resistance = input.bool(false, 'Show Last Resistance',
tooltip = 'Last Resistance' , group = 'Support and Resistance')
//Call Function
ZZ.ZigZag(high ,low ,bar_index ,PPZ , ShZ ,ZLS , ZLC, ZLW ,ShL , LC , LS , Show_Support , Show_Resistance )
Heikin Ashi and Optimized Trend Tracker and PVSRA [Erebor]Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open , high low , and close prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
PVSRA (Price, Volume, S&R Analysis)
“PVSRA” (Price, Volume, S&R Analysis) is a trading methodology and indicator that combines the analysis of price action, volume, and support/resistance levels to identify potential trading opportunities in financial markets. It is based on the idea that price movements are influenced by the interplay between supply and demand, and analyzing these factors together can provide valuable insights into market dynamics.
Here's a breakdown of the components of PVSRA:
• Price Action Analysis: PVSRA focuses on analyzing price movements and patterns on price charts, such as candlestick patterns, trendlines, chart patterns (like head and shoulders, triangles, etc.), and other price-based indicators. Traders using PVSRA pay close attention to how price behaves at key support and resistance levels and look for patterns that indicate potential shifts in market sentiment.
• Volume Analysis: Volume is an essential component of PVSRA. Traders monitor changes in trading volume to gauge the strength or weakness of price movements. An increase in volume during a price move suggests strong participation and conviction from market participants, reinforcing the validity of the price action. Conversely, low volume during price moves may indicate lack of conviction and potential reversals.
• Support and Resistance (S&R) Analysis: PVSRA incorporates the identification and analysis of support and resistance levels on price charts. Support levels represent areas where buying interest is expected to be strong enough to prevent further price declines, while resistance levels represent areas where selling interest may prevent further price advances. These levels are often identified using historical price data, trendlines, moving averages, pivot points, and other technical analysis tools.
The PVSRA methodology combines these three elements to generate trading signals and make trading decisions. Traders using PVSRA typically look for confluence between price action, volume, and support/resistance levels to confirm trade entries and exits. For example, a bullish reversal signal may be considered stronger if it occurs at a significant support level with increasing volume.
It's important to note that PVSRA is more of a trading approach or methodology rather than a specific indicator with predefined rules. Traders may customize their analysis based on their preferences and trading style, incorporating additional technical indicators or filters as needed. As with any trading strategy, risk management and proper trade execution are essential components of successful trading with PVSRA.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your indicator “PVSRA Volume Suite”. © creengrack
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
Percent Rank HistogramThis Pine script indicator is designed to create a visual representation of the percent rank for multiple financial instruments. Here's a breakdown of its key features:
Percent Rank Calculation:
The core functionality of this Pine script indicator revolves around the calculation of the percent rank for each selected financial instrument.
The percent rank is a statistical measure that indicates the percentage of historical data points that are less than or equal to the current value in a given series.
Symbol Selection:
The script allows the user to select up to 10 financial instruments (tickers) for analysis. The default symbols include various cryptocurrencies such as BTCUSD, ETHUSD etc., and TOTAL market cap at ticker 1, to show overal trend of crypto market.
(Top 9 Coins by market cap).
Columns and Colors:
The script visually represents the percent rank using columns based on lines.
The color of each column is determined by a gradient from red to green based on the calculated percent rank, providing a quick visual indication of the instrument's relative performance.
BTC Trending Up while other coins are underperformance:
Labels:
Labels are displayed on the chart, indicating the symbol name and the corresponding percent rank percentage.
The labels include directional arrows (▲ or ▼) to denote whether the percent rank is increasing or decreasing.
Customization:
Users can customize parameters such as the percent rank length and column width to adapt the indicator to their specific preferences, or select needed assets to compare them to each other.
Chart Desk and Scales:
The script includes the visualization of a chart desk with scale lines to provide additional context to the chart. When Percent Rank above middle scale line (50) usually it signaling about asset trending up and below 50 asset trending down.
Mozilla Public License:
The script is subject to the terms of the Mozilla Public License 2.0.
This indicator is useful for traders and analysts interested in visually assessing the percent rank of multiple financial instruments simultaneously, helping them identify potential opportunities or trends in the market.
Price SextantThe provided Pine Script™ code is for a technical analysis indicator called "Price Sextant." This indicator helps visualize the price position relative to its linear regression and standard deviation levels. Here's a brief description:
Price Sextant Indicator:
Purpose:
The Price Sextant indicator aims to show the current price's deviation from the linear regression line by dividing the price chart into different zones or sextants.
Components:
Linear Regression: The script calculates a linear regression line based on the closing prices over a specified length (default is 50 bars).
Standard Deviation Sections: It then computes standard deviation levels from the linear regression, creating upper and lower sections around the regression line.
Scoring: Each section is assigned a numerical score, and labels with corresponding scores are displayed on the chart.
Arrow and Midline: An arrow is drawn to indicate the current price's position in relation to the regression line and standard deviation bands. It changes color based in what section it is:
orange section shows a ranging price, below orange section -1 arrow turns red and show down trend and if arrow above +1 section it turns green and show strong up trend of price.
A midline is plotted to mark the position of the linear regression line.
Sextant Description:
In navigation, a sextant is an instrument used to measure the angle between two visible objects.
In the context of this indicator, the term "Sextant" is likely used metaphorically to describe the division of the price chart into six sections or zones based on the linear regression and standard deviation bands.
This indicator can help traders identify potential overbought or oversold conditions, as well as assess the strength and direction of the trend.
Please note that the effectiveness of the indicator depends on various factors, and it's advisable to use it in conjunction with other analysis tools for a comprehensive trading strategy.
Universal RPPI Equities [SS Premium]Introducing the RPPI for Equities indicator.
Like its companion the RPPI for futures and indices, the RPPI for Equities is a compendium indicator of sorts, containing multiple different math based models for various equities tickers.
However, unlike the RPPI for futures and indices, the RPI for equities also has the ability to autogenerate a model that is tailored to the volatility of equities, if a base model does not exist within its compendium.
How Does it work and what does it do?
The RPPI contains multiple models that have been developed and corrected by myself, an example of which can be visualized in the above chart for the NYSE:DIS ticker. These models aim to forecast intraday, weekly and monthly price movements and help you to ascertain target prices that are realistic and achievable within your desired timeframe.
Which timeframes are availabe?
The indicator supports the following timeframes:
1. Daily
2. Weekly
3. Monthly
4. 3 Hour
5. 3 Month
What are some of the features?
So in addition to forecasting on the various timeframes, there are some innate functionalities and capabilities that have been programmed into the RPPI, in the same way they have been programmed into the futures version. These include:
1. Displaying Range Accumulation Zones & Standard Deviation
2. Performing autoregression assessments to help ascertain likely trajectory
3. Running Probability assessments on all timeframes
4. Displaying model performance via the demographic function.
While these features may not be new to you, I will go over them briefly below.
Displaying Range Accumulation Zones:
In the above example, you can see NVDA on the daily timeframe. The accumulation zones are displayed in blue and as a percentage value. We can see that the majority of the accumulation rested to the upside.
The prevailing theory with price accumulation is a ticker will frequently retrace and revisit areas of high accumulation, as these represent areas of demand and high volume.
Performing Autoregression Assessment
When you toggle on the autoregression assessment, you will get 3, trendlines. These represent the projected trajectory of the high, low and close. You can set your forecast length out as long or as short as you want.
The indicator will auto-select the best length and plot out the hypothesized trajectory based on the strongest identified trend.
Running Probabilities
To run probabilities, it is important to remember to be on the timeframe you wish to run the probabilities for. So, if you wish to run them on the daily timeframe, make sure your chart is on the daily and the indicator is set to "Daily" timeframe.
Once toggled on, you will get an assessment that looks like this:
This will display a breakdown of all previous instances of similar setups, and it will show you how many times each target were hit and give you an overall assessment of the likely sentiment, as well as the backtest results.
There are two types of probability options, "Momentum" and "Z-Score". The momentum is based on the underlying technicals, such as RSI and Stochastics; whereas, z-score is an assessment of standard deviation. If you want to know which one is "Best", you simply need look at the backtest results.
Displaying Model Performance:
To display model performance, go into the settings menu and select "Demographic Data".
As with the probabilities, please make sure you are set to the appropriate chart timeframe. If you are not, you will get an error message telling you to modify your timeframe.
This will break down how many times a ticker closes above or below its range, how many times the retracement target (GT) is hit and how many times, on average, a ticker hits the second high or second low target. This gives you some very useful stats to help you with your assessment (i.e. the TSLA example shows that, on the weekly timeframe, closing the week outside of the range only happens 11% of the time, so if we make a run outside of the range on a Monday or Tuesday, you know a good setup could be to short it and vice versa to the downside).
Warnings and Messages
This is not so much a feature of the indicator but just a reference to be aware of. In the settings menu, there is an option to "Show Warnings". This will prompt you with any warnings that exist on any ticker model. For example, if we look at the warnings for TSLA:
And AAPL:
Not all tickers have warnings, but the ones that you need to be aware of are programmed into the indicator for your reference.
Which models does this contain?
This contains over 30 different stock models, from LMT, BA, CSCO and GE to TSLA, NVDA, AAPL, GOOG, PCAR, META, ADBE and the list goes on.
As stated previously, it does have the ability to autofit.
WARNING
As a general warning, do not use this indicator to autofit to indices or futures. The parameters are set to what I find works best for equities and heightened volatility, it will not work great for indices. Please refer to other resources, such as the Universal Forecaster for such things as the equities RPPI will provide unreliable results if you are trying to cross use between different types of unintended equities (i.e. CFDs, Futures or Indicies)! I
As always, leave your questions and comments below.
Please be sure to read the instructions above the adding to favorites regarding how to access the indicator.
Thanks for reading and safe trades as always!
Fibonacci internal Break of Range PinescriptlabsThe uniqueness of this script lies in the synergy and dynamic interaction resulting from the advanced combination of key elements of technical analysis in the way it strategically merges Fibonacci Levels with the Linear Regression Channel and the internal price structure, creating a highly synergistic market analysis system.
The Linear Regression Channel, drawn from price regression and its standard deviation over a defined number of bars, offers a graphical representation of the prevailing market trend. The combination of this channel with Fibonacci Levels is deliberate and critical: the levels serve as additional filters to validate range breakouts within the channel, and vice versa, channel breakouts enhance the importance of Fibonacci levels by adjusting to the market context, represented by the specific length and displacement within the chart.
Fibonacci levels are updated with each new bar, and the detection of Break of Range (BoR) is integrated with the Fibonacci level plot to highlight significant breakout points. A unique aspect of this script is the way breakouts are identified not only by the price crossing certain Fibonacci levels but also by volume context and candlestick patterns, such as Engulfing patterns, which signal potential changes in market trends.
This interaction between the Linear Regression Channel and Fibonacci Levels, for example, a bullish price breakout above the upper channel boundary simultaneously crossing a significant Fibonacci level, suggests not only a possible continuation of the uptrend but also a strong support level established. Similarly, a bearish price breakout below the lower channel boundary, coinciding with a Fibonacci level, may signal a trend reversal confirmation and a new resistance level.
This script delves further into signal convergence, where the interaction between Break of Range and Fibonacci levels marks bullish and bearish breakouts, respectively, and when these signals coincide with breakouts of any Fibonacci level, they provide cross-confirmation that increases confidence in the generated signal. "BoR+Fib🔼" and "BoR+Fib🔽."
Additionally, the script introduces an innovative implementation of the Linear Regression Channel, which uses a customizable period and standard deviation to plot upper and lower trendlines. This approach allows traders to anticipate potential re-entry points after a breakout, as prices often retest the channel edges, providing low and high entry confirmation opportunities.
A differentiating technical aspect is the conditional logic implemented for bullish and bearish trend signal confirmation. For example, the script calibrates signals based on the intersection of price action with critical Fibonacci levels and confirmed candlestick patterns, enhancing signal reliability compared to using these indicators in isolation.
Key Features:
1. Dynamic calculation of Fibonacci levels.
2. Detection of internal price range breakouts (Break of Range).
3. Linear Regression Channel.
4. Detection of candlestick patterns (Engulfing Patterns).
Dynamic Fibonacci Level Calculation and Internal Range Breakout Detection (Break of Range):
The fusion of Fibonacci levels with the detection of internal range breakouts is crucial because it allows for precise identification of market turning points. Fibonacci levels act as initial filters, indicating potential support and resistance zones. When the price crosses a key Fibonacci level, especially in conjunction with an internal range breakout, the resulting signal is stronger and more reliable. This confluence significantly increases the probability of sustainable price movement.
Broken:
Function: The code identifies breakouts when the price crosses a key Fibonacci level (0%, 100%). A breakout is significant if the price crosses and holds beyond these levels.
Interaction: Breakouts validate Fibonacci levels. For example, a breakout above the 0% Fibonacci level can confirm an uptrend.
Structure Change:
Function: In the code, Structure Change can be interpreted through the detection of pivot patterns and price structure change signals, which we identify as Break of Range.
Interaction: This component acts as confirmation for range breakouts and Fibonacci levels. For example, if a range breakout is followed by a change in price structure (such as the formation of a new higher high), it strengthens the validity of the range breakout signal.
"BoR+Fib🔽": Indicates a bearish range breakout that has also crossed a Fibonacci level downward. This can be interpreted as a sell signal or a bearish trend indication.
"BoR+Fib🔼": Represents a bullish range breakout that has also crossed a Fibonacci level upward. It can be interpreted as a buy signal or a bullish trend indication.
Linear Regression Channel:
Function: The Linear Regression Channel is calculated and drawn using a defined number of bars to establish the overall market trend. Calculations involve summing and averaging closing prices and their products with the time index to calculate the regression line and its standard deviation. The script uses this channel to contextualize Fibonacci signals and range breakouts, with breakouts occurring in the direction of the channel's trend.
Interaction: Provides context to Fibonacci signals and range breakouts. For example, if a range breakout occurs in the same direction as indicated by the Linear Regression Channel, this adds credibility to the signal.
Integration Benefit: The Linear Regression Channel provides an overall trend context. When a range breakout signal and a Fibonacci level coincide within the direction indicated by the channel, the signal's validity is strengthened.
Signal Convergence: An ideal scenario occurs when all elements converge. For example, a good entry point could be when the price experiences a range breakout from a significant Fibonacci level, there is a change in price structure in the same direction, and all of this aligns with the trend indicated by the Linear Regression Channel.
Dynamic Volatility Visualization: Adjusts the width of the Linear Regression Channel based on market volatility.
Validation and Entry Confirmation after Linear Regression Channel Breakout:
Breakout Validation: The Linear Regression Channel breakout is validated not only by price crossing but also by an increase in volume, suggesting a significant breakout rather than a temporary fluctuation.
Entry Confirmation ('Low and High Entry Confirmation'):
Confirmation Bars: A specific number of bars (configurable entry) closing outside the channel are required to confirm an entry. This reduces the risk of false signals.
Channel Re-Test: After the breakout, the price often retests the channel's edge. An entry is confirmed if the price bounces from this area, validating the initial breakout.
Auxiliary Indicators: Oscillators or momentum indicators are used to confirm trend strength after the breakout.
Candlestick Pattern Detection (Engulfing Patterns):
Engulfing Pattern Identification: bullishEngulfing is activated in a bullish pattern with a previous bearish trend and a specific bullish candle. bearishEngulfing is activated in a bearish pattern with a previous bullish trend and a specific bearish candle.
Special Trend Signals:
Bullish signals are displayed as blue circles with "⬆️," while bearish signals are displayed as red circles with "⬇️."
Bullish Signals: Indicate that the price has crossed above certain Fibonacci levels, and the current trend is considered bullish, as the most recent closing price is higher than the closing price of a specific bar in the past.
Bearish Signals: Indicate that the price has crossed below certain Fibonacci levels, and the current trend is considered bearish, as the most recent closing price is lower than the closing price of a specific bar in the past.
Integration with 3Commas for Automation:
Signal Automation: The ability to integrate with platforms like 3Commas allows for the automatic execution of
strategies based on the script's signals, where a bot could execute trades based on the chart-generated signals, facilitating more efficient trading, reducing reaction time, and as an automated script, we only need to input our short Bot Id or our Long Bot ID into the previously loaded message alert.
Español:
La singularidad de este script radica en la sinergia y la interacción dinámica que resulta de la combinación avanzada de elementos clave del análisis técnico en la forma en que fusiona estratégicamente los Niveles de Fibonacci con el Canal de Regresión Lineal y la estructura interna del precio creando un sistema de análisis de mercado altamente sinérgico.
El Canal de Regresión Lineal, dibujado a partir de la regresión de precios y su desviación estándar sobre un número definido de barras, ofrece una representación gráfica de la tendencia predominante del mercado. La combinación de este canal con los Niveles de Fibonacci es deliberada y crítica: los niveles sirven como filtros adicionales para validar las rupturas de rango dentro del canal, y viceversa, las rupturas del canal potencian la importancia de los niveles de Fibonacci ajustándose al contexto del mercado, representado por la longitud y desplazamiento específicos dentro del gráfico.
Los niveles de Fibonacci se actualizan con cada nueva barra, La detección de rupturas de rango (Break of Range) se integra con la trama de niveles de Fibonacci para destacar los puntos de ruptura significativos. Un enfoque único de este script es la manera en que las rupturas no solo se identifican por el cruce de precios de ciertos niveles de Fibonacci sino también por el contexto de volumen y patrones de velas, como los patrones Engulfing, que señalan cambios potenciales en la tendencia del mercado.
Esta interacción entre el Canal de Regresión Lineal y los Niveles de Fibonacci Por ejemplo: una ruptura alcista del precio a través del límite superior del canal al mismo tiempo que cruza un nivel de Fibonacci significativo sugiere no solo una posible continuación de la tendencia alcista sino también un fuerte nivel de soporte establecido. Similarmente, una ruptura bajista del precio a través del límite inferior del canal, coincidiendo con un nivel de Fibonacci, puede señalar una confirmación de cambio de tendencia y un nuevo nivel de resistencia.
Este script profundiza aún más en la confluencia de señales, donde la interacción entre Break of Range y los niveles de Fibonacci marcan rupturas alcistas y bajistas respectivamente, y cuando estas señales coinciden con rupturas del de cualquier nivel de Fibonacci, proporcionan una confirmación cruzada que aumenta la confianza en la señal generada. "BoR+Fib🔼" y "BoR+Fib🔽"
Además, el script presenta una innovadora implementación de Canal de Regresión Lineal, que utiliza un periodo personalizable y una desviación estándar para trazar las líneas de tendencia superior e inferior. Este enfoque permite a los traders anticipar posibles puntos de reentrada después de una ruptura, con el precio a menudo retestando los bordes del canal, proporcionando así oportunidades de confirmación de entrada baja y alta.
Un aspecto técnico diferenciador es la lógica condicional implementada para la confirmación de señales de tendencia alcista y bajista. Por ejemplo, el script calibra señales basadas en la intersección de la acción del precio con los niveles críticos de Fibonacci y los patrones de velas confirmados, mejorando la confiabilidad de las señales en comparación con el uso de estos indicadores de forma aislada.
Características Principales:
1. Cálculo dinámico de niveles de Fibonacci.
2. Detección de rupturas internas del rango de precios (Break of Range).
3. Canal de regresión lineal.
4. Detección de patrones de velas (Patrones Engulfing).
Cálculo Dinámico de Niveles de Fibonacci y Detección de Rupturas Internas (Break of Range):
La fusión de los niveles de Fibonacci con la detección de rupturas internas del rango es crucial porque permite identificar con precisión los puntos de inflexión del mercado. Los niveles de Fibonacci funcionan como filtros iniciales, indicando potenciales zonas de soporte y resistencia. Cuando el precio cruza un nivel clave de Fibonacci, especialmente en conjunto con una ruptura interna del rango, la señal resultante es más robusta y fiable. Esta confluencia incrementa significativamente la probabilidad de que el movimiento del precio sea sostenible
Broken:
Función: El código identifica las rupturas cuando el precio cruza un nivel de Fibonacci clave (0%, 100%). Una ruptura es significativa si el precio cruza y se mantiene más allá de estos niveles.
Interacción: Las rupturas validan los niveles de Fibonacci. Por ejemplo, una ruptura por encima del nivel de Fibonacci del 0% puede confirmar una tendencia alcista.
Cambio de Estructura:
Función: En el código, el Cambio de Estructura se puede interpretar a través de la detección de patrones de pivote y señales de cambio en la estructura de precios, que identificamos como Break of Range.
Interacción: Este componente actúa como una confirmación de las rupturas de rango y los niveles de Fibonacci. Por ejemplo, si una ruptura de rango es seguida por un cambio en la estructura de precios (como la formación de un nuevo máximo más alto), esto refuerza la validez de la señal de ruptura de rango.
"BoR+Fib🔽": Indica una ruptura bajista del rango que también ha cruzado un nivel de Fibonacci hacia abajo. Esto puede interpretarse como una señal de venta o una indicación de tendencia bajista.
"BoR+Fib🔼": Representa una ruptura alcista del rango que también ha cruzado un nivel de Fibonacci hacia arriba. Puede interpretarse como una señal de compra o una indicación de tendencia alcista.
Canal de Regresión Lineal:
Función: El Canal de Regresión Lineal se calcula y dibuja utilizando un número definido de barras para establecer la tendencia general del mercado. Los cálculos involucran la suma y el promedio de los precios de cierre y sus productos con el índice de tiempo, para calcular la línea de regresión y su desviación estándar, el script utiliza este canal para contextualizar las señales de Fibonacci y las rupturas de rango, con rupturas que ocurren en la dirección de la tendencia del canal.
Interacción: Proporciona contexto a las señales de Fibonacci y rupturas de rango. Por ejemplo, si una ruptura de rango ocurre en la misma dirección que la tendencia indicada por el Canal de Regresión Lineal, esto añade credibilidad a la señal.
Beneficio de la Integración:El Canal de Regresión Lineal proporciona un contexto de tendencia general. Cuando una señal de ruptura de rango y un nivel de Fibonacci coinciden dentro de la dirección de la tendencia indicada por el canal, se fortalece la validez de la señal.
Convergencia de Señales: Un escenario ideal ocurre cuando todos los elementos convergen. Por ejemplo, un buen punto de entrada podría ser cuando el precio experimenta una ruptura de rango desde un nivel de Fibonacci importante, hay un cambio de estructura en la misma dirección, y todo esto ocurre en línea con la tendencia indicada por el Canal de Regresión Lineal.
Visualización de Volatilidad Dinámica: Ajusta el ancho del canal de regresión lineal en función de la volatilidad del mercado.
Validación y Confirmación de la Entrada después de la Ruptura del Canal de Regresión:
Confirmación de Ruptura: La ruptura del canal de regresión se valida no solo por el cruce del precio, sino también por un aumento en el volumen, lo que sugiere una ruptura significativa en lugar de una fluctuación temporal.
Confirmación de Entrada ('Confirmación de Entrada Baja y Alta'):
Barras de Confirmación: Se requiere un número específico de barras (entrada configurable) que cierren fuera del canal para confirmar una entrada. Esto reduce el riesgo de señales falsas.
Re-Test del Canal: Después de la ruptura, el precio a menudo vuelve a probar el borde del canal. Una entrada se confirma si el precio rebota desde esta área, validando la ruptura inicial.
Indicadores Auxiliares: Se utilizan osciladores o indicadores de impulso para confirmar la fuerza de la tendencia después de la ruptura.
Detección de Patrones de Velas (Patrones Engulfing):
Identificación de Patrones Engulfing: bullishEngulfing se activa en un patrón alcista con una tendencia bajista previa y una vela alcista específica. bearishEngulfing se activa en un patrón bajista con una tendencia alcista previa y una vela bajista específica.
Señales Especiales de Tendencia:
Las señales alcistas se muestran como círculos azules con "⬆️", mientras que las señales bajistas se muestran como círculos rojos "⬇️".
Señales Alcistas: Indican que el precio ha cruzado por encima de ciertos niveles de Fibonacci y la tendencia actual se considera alcista, ya que el precio de cierre más reciente es mayor que el precio de cierre de una barra específica en el pasado.
Señales Bajistas: Indican que el precio ha cruzado por debajo de ciertos niveles de Fibonacci y la tendencia actual se considera bajista, ya que el precio de cierre más reciente es menor que el precio de cierre de una barra específica en el pasado.
Integración con 3Commas para Automatización:
Automatización de Señales: La capacidad de integrar con plataformas como 3Commas permite la ejecución automática de estrategias basadas en las señales del script donde un bot podría ejecutar operaciones basadas en las señales generadas por el gráfico., facilitando un trading más eficiente y reduciendo el tiempo de reacción y como un script automatizado solo necesitamos poner en la alerta del mensaje previamente cargado nuestro short Bot Id o nuestro Long Bot ID.
RSI and MA Trending [Sebbs]A simple indicator based on RSI strength and a custom SMA trendline.
RSI
RSI Strength is determined by a baseline.
The baseline is the 200 bar RSI
The current RSI value is compared to the Baseline and determines the current trend.
This Use of the RSI is unique because the strength indication point is not a static number (eg: 50) and the long term strength will trend up in a Bullish market.
This causes the reversal point of the strength to become much closer to the top of the waves end point.
SMA
The default SMA is a 20 bar length but is adjustable to suit any timeframe or chart.
The SMA determines the trend direction.
SIGNALS
When both are showing strength it will give a buy signal.
When both are showing weakness it will show a sell signal.
STRATEGY
I personally use 15 Minute chart and 20 bar SMA.
This method can have a close stop as it uses strength as an entry condition.
If the strength drops exit the trade.
For example, a 15 minute entry I would set a single candle stop as if that candle is taken back, the trade is no good.
The best entries are when a trendline breaks and strength changes direction.
FILTERS
Additional filters are provided such as other SMAs and Heikin Ashi bars for entry requirements.
DIVERGENCES
The Overlay also shows Divergence lines which use my own unique calculations.
The pivot low/high function provided by Pine Script requires a set number of bars to pass prior to locating a swing low/high.
This can mean large moves have occurred prior to a swing low having passed if the lookback range was set to five bars (5).
5 bars on a 2 hour chart is a long time and large moves may be missed.
As I don't use these functions, there is no requirement for a set number of bars to have passed prior to swing low/high positions to be identified.
This means it doesn't rely on a set number of bars to pass prior to finding a new pivot point.
* Code loops are a function which will check conditions in a range until a defined condition is met.
In this case a pivot low is a bar with no lower bars within 3 bars either side of the current checked bar.
Additional:
Lines will redraw and delete previous divergences to remove clutter on the indicator.
A table cells for alternate timeframe Stochastic RSI values so you don't need to swap between charts constantly.
RSI TABLE
A table is available for monitoring the RSI values of the current chart and a Higher Timeframe.
This helps keep track of which direction your should be looking for trades in.
This can be hidden in the indicator options.
Note
This indicator can not be open source due to a usage of a Private Library.
Gorb WallIntroduction:
Gorb Wall is a trading tool that offers a unique approach to market trend analysis. It extends the capabilities of the Gorb Algo indicator by presenting a multi-ticker, multi-timeframe dashboard, enabling traders to capture crucial market movements across various financial instruments without flipping through charts.
Overview:
Multi-Ticker Analysis: Monitor and analyze multiple financial instruments simultaneously.
Customizable Timeframes: Tailor the script to various timeframes to suit your trading strategy.
Gorb Algo Market Trend: An algorithm that adapts to market conditions, providing insights into trend changes.
User-Friendly Dashboard: Easily configure and customize the dashboard placement on your chart.
Color-Coded Trend Indicators: Visual cues to quickly assess bullish or bearish trends.
Optimized for Performance: Efficiently coded to ensure smooth running on TradingView without overloading resources.
How Gorb Wall Works:
The script utilizes Gorb Algo's market trend algorithm to process price and volume data across selected tickers and timeframes.
It applies a complex calculation to identify trends, using a combination of volatility analysis, momentum measurements, and trend strength indicators.
The output is a simplified visual representation on the dashboard, where colored circles indicate the trend direction, providing an at-a-glance market overview.
Unique Features:
Proprietary Algorithm: The heart of Gorb Wall lies in its unique Gorb Algo Market Trend algorithm. Unlike standard trend-following indicators, this proprietary algorithm integrates multiple technical analysis concepts (e.g., moving averages, volume data, price action, and oscillators) to provide a more comprehensive market trend analysis.
Multi-Dimensional Analysis: The script analyzes market trends by simultaneously processing data across multiple tickers and timeframes, offering a broader view of market movements than traditional single-ticker indicators.
We recommend exploring & choosing which tickers/timeframes best suits your needs and style of trading, and use that to combine with our suite of indicators.
Settings:
All skill-level friendly presets, easy to enable features with one-click
Dashboard Placement: Choose from top/bottom left/right for dashboard positioning.
Trend Speed Mode: Select the algorithm speed - Fast, Medium, Slow, Slowest.
Bullish/Bearish Trend Colors: Customize colors for trend indicators.
Additional Tickers: Input options for monitoring multiple financial instruments.
Timeframe Selection: Choose from a range of timeframes for each ticker.
How to Use
In the image below, we can see a basic example of how this indicator functions.
The dashboard displays up to three different tickers per the user's choice, with 4 different timeframes the user can choose. It that runs the algorithm line on the specified ticker & timeframe and plots a colored circle that identifies that tickers trend on the specified timeframes.
There are two colors, white for bullish trend and purple for bearish trend. These are the two consistent colors across our suit of indicators to help simplify trading by using simple color matching for confluence. Below is a continued breakdown on using this indicator:
Dynamic Trend Visualization in Real-Time Updates
The dashboard dynamically updates trend colors (white for bullish, purple for bearish) based on real-time market data, offering immediate insights into market sentiment. The next three images below these the live change in data as price action begins developing over multiple timeframes.
In the image above, we are on the 5min AAPL chart, we have SPY, QQQ, and VIX as our tickers on the dashboard with 1min, 2min, 3min, and 10min timeframes chosen. We begin to see VIX flip bullish, which can usually mean down side for indices.
We then see as AAPL's price begins to slow and reverse, we see SPY's trend following on the smaller timeframes first with VIX still leading the way indicating possible bearish change.
In the image above, we can see that price dips down and SPY & QQQ market trends have flipped bearish on all timeframes, while VIX continues to be bullish(validating the downwards price action)
Customizable Settings
Users can adjust settings such as dashboard placement, trend speed mode, and color themes to suit individual trading styles.
In the image below, we can see the dashboard placement setting offers four different locations the user can move the dashboard. Just like in Gorb Algo , the user can choose which trendline speed they want to use to best fit their trading strategy.
In the image below, we can see the "bullish trend" & "bearish trend" colors setting. These colors by default match the rest of our suite of indicators, white is bullish and purple is bearish. Users can change these color settings to meet their preferences.
In the image below, we can see there are three market ticker options that the user can change. This allows users to monitor their favorite tickers across or easily flip through multiple tickers in order to gauge their current market trends without having to change their chart
In the image below, we can see the 4 timeframes that are on the dashboard. The user has the ability to change each of those four, to whatever timeframe best suits their trading needs. There are 12 different timeframe options to choose from.
Quick Dashboard Review
Using color-coded trend detection, this quickly gauges market trends and provides a visual to easily identify these changes in real-time across multiple timeframes. When a circle changes color, this means that price has flipped that direction, causing a change in the Gorb Algo market trendline. As stated above, white is for bullish trend and purple is for bearish trend, but these colors can be changed to fit the users trading strategy and style. Each timeframe the user chooses will be updated in real-time, including the higher time frames like the daily & weekly. They have been modified to pull data a same speed the lower timeframes are.
This helps provide quick visual identification of real market trend changes as price action develops. It is best used in conjunction with other forms of technical analysis for a holistic trading approach.
Conclusion:
This indicator is designed to streamline market trend analysis, offering traders an innovative, efficient, and easy-to-use tool for making informed trading decisions. This tool complements our suite of indicators, providing unique market insights that are not typically available in traditional open-source scripts.
How to get access:
You can see the Author's instructions to get access to this indicator
RISK DISCLAIMER
All content, tools, scripts & education provided by Gorb Algo are for informational & educational purposes only. Trading is risky and most lose their money, past performance does not guarantee future results.
