TradingLegend RangeLevels
Indicator Description:
I am incredibly proud and excited to share my first indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Tradinglegend RangeLevels— is a technical indicator that is used to determine the levels at which price may face support or resistance. This indicator consists number of levels which will show several support (S) and resistance (R) levels.
Calculation
Resistance and support values are calculated in different ways, depending on the type of the indicator, specified by the Type field in indicator inputs. To calculate TL range support/resistance levels, the values OPENcurr, OPENprev, HIGHprev, LOWprev, CLOSEprev of hour,day,weekly candles with avarage buying and selling volumes. which are the values of the current open and previous open, high, low and close, respectively, on the indicator resolution. The indicator resolution is set by the input of the different standard Timeframe.
users can change the cofficient of facor which calculated on basis of previous day high to low distance and number of 5min candles existing in a day,they can customisze it in setting for accurate results
for intraday resolutions up to and including 15 min, DAY (1D) is used
for intraday resolutions more than 15 min, WEEK (1W) is used
for daily resolutions MONTH is used (1M)
for weekly and monthly resolutions, 12-MONTH (12M) is used
Types
Leves are designed as pivot standard levels but calculation is different.When you will use it,definitely u gonna love it
المؤشرات والاستراتيجيات
Adaptive Trend Flow [QuantAlgo]Adaptive Trend Flow 📈🌊
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical indicator that harnesses the power of volatility-adjusted EMAs to navigate market trends with precision. By seamlessly integrating a dynamic dual-EMA system with adaptive volatility bands, this premium tool enables traders and investors to identify and capitalize on sustained market moves while effectively filtering out noise. The indicator's unique approach to trend detection combines classical technical analysis with modern adaptive techniques, providing traders and investors with clear, actionable signals across various market conditions and asset class.
💫 Indicator Architecture
The Adaptive Trend Flow provides a sophisticated framework for assessing market trends through a harmonious blend of EMA dynamics and volatility-based boundary calculations. Unlike traditional moving average systems that use fixed parameters, this indicator incorporates smart volatility measurements to automatically adjust its sensitivity to market conditions. The core algorithm employs a dual EMA system combined with standard deviation-based volatility bands, creating a self-adjusting mechanism that expands and contracts based on market volatility. This adaptive approach allows the indicator to maintain its effectiveness across different market phases - from ranging to trending conditions. The volatility-adjusted bands act as dynamic support and resistance levels, while the gradient visualization system provides instant visual feedback on trend strength and duration.
📊 Technical Composition and Calculation
The Adaptive Trend Flow is composed of several technical components that create a dynamic trending system:
Dual EMA System: Utilizes fast and slow EMAs for primary trend detection
Volatility Integration: Computes and smooths volatility for adaptive band calculation
Dynamic Band Generation: Creates volatility-adjusted boundaries for trend validation
Gradient Visualization: Provides progressive visual feedback on trend strength
📈 Key Indicators and Features
The Adaptive Trend Flow utilizes customizable length parameters for both EMAs and volatility calculations to adapt to different trading styles. The trend detection component evaluates price action relative to the dynamic bands to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded basis and trend lines (bullish/bearish)
Adaptive volatility-based bands
Progressive gradient background for trend duration
Clear trend reversal signals (𝑳/𝑺)
Smooth fills between key levels
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trends: Watch the basis line and trend band interactions to identify trend direction and strength. The gradient background intensity indicates trend duration and conviction.
🎯 Track Signals: Pay attention to the trend reversal markers that appear on the chart:
→ Long signals (𝑳) appear when price action confirms a bullish trend reversal
→ Short signals (𝑺) indicate validated bearish trend reversals
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you never miss significant technical developments.
🌟 Summary and Tips
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical tool designed to support trend-following strategies across different market environments and asset class. By combining dual EMA analysis with volatility-adjusted bands, it helps traders and investors identify significant trend changes while filtering out market noise, providing validated signals. The tool's adaptability through customizable EMA lengths, volatility smoothing, and sensitivity settings makes it suitable for various trading timeframes and styles, allowing users to capture trending opportunities while maintaining protection against false signals.
Key parameters to optimize for your trading and/or investing style:
Main Length: Adjust for more or less sensitivity to trend changes (default: 10)
Smoothing Length: Fine-tune volatility calculations for signal stability (default: 14)
Sensitivity: Balance band width for trend validation (default: 2.0)
Visual Settings: Customize appearance with color and display options
The Adaptive Trend Flow is particularly effective for:
Identifying sustained market trends
Detecting trend reversals with confirmation
Measuring trend strength and duration
Filtering out market noise and false signals
Remember to:
Allow the indicator to validate trend changes before taking action
Use the gradient background to gauge trend strength
Combine with volume analysis for additional confirmation
Consider multiple timeframes for a complete market view
Adjust sensitivity based on market volatility conditions
Line Break Chart StrategyHello All!
We should not pass this year without a gift!
My last publication in 2024 is Complete Line Break Chart Strategy with many features!
What is Line Break Chart?
" Line Break is a Japanese chart style that disregards time intervals and only focuses on price movements, similar to the Kagi and Renko chart styles. Line Break charts form a series of up and down bars (referred to as lines). Up lines represent rising prices, and down lines represent falling prices. New confirmed lines only form on the chart when closing prices break the range covered by previous lines. Users can control the number of past lines used in the calculation via the "Number of Lines" input in the chart settings. The typical "Number of Lines" setting is 3, meaning the chart forms a new up line when the closing price is above the high prices of the last three lines, and it forms a new down line when the closing price is below the past three lines' low prices. If the current price is higher, it is an up line and if it is lower, it is a down line. If the current closing price is the same or the move in the opposite direction is not large enough to warrant a reversal, l then no new line is draw n" by Tradingview. You can find it here
Now let's start examining the features of the indicator:
By using Line break reversals it shows trend on the main chart. You can create alert .
Moreover, you can decide which trade should be taken by using Risk Management in the indicator. You can set the " Maximum Risk " and then if the risk is more than you set then the trade is not taken. When trend changed it checks the distance between reversal level and open price and compare it with the Maximum Risk
Breakout:
It can find breakouts and shows on the chart. You can create alert for breakouts
It can show breakouts on the main chart:
Flip-Flops:
Upon looking at set of price break charts, the trader will notice that there are instances when uptrend blocks is followed by one reversal block, and then by a reversal to a series of uptrend blocks. The opposite is also possible: a series of downtrend blocks is followed by one reversal box and then by an immediate reversal to downtrend. This price action is called a " Flip-Flop ". This structure usually produces trend continuation signal. when we see this then we better use Buy/Sell stop order. lets see this on the chart:
Temporal Sequence Table:
Sequence frequency shows the frequency distribution of the number of sequential highs and the number of sequential lows that have been generated. This is quite important to the trader who is seeking to join a trend or put on a trade when the price break reverses into a new trend direction. For example, if the pattern over the past year has been that there never were more than nine consecutive high closes, it would make sense not to enter a position late into the sequence of new high closes.
also you can see market structure. I have tried to formalize it and show it under the table. so you can understand if it's choppy market.
"Number of Lines" has very important role. While using low time frames such seconds/minutes time frame you may want to choose higher number of lines such 5,6. ( this may minimize the risk of a whipsaw )
Gaps feature:
You can set Gaps on/off. if Gaps on then you can see how long it takes for each box
Reversal and Continuation Probability:
The script calculated Reversal level and Continuation probability of the trend by using Sequence frequency.
It also shows unconfirmed box and current closing price level:
Last but not least it has Overlay option for all items, and can show all items in the main chart!
P.S. I added alerts :)
Wish you all a happy new year!
Enjoy!
Turtle Soup ICT Strategy [TradingFinder] FVG + CHoCH/CSD🔵 Introduction
The ICT Turtle Soup trading setup, designed in the ICT style, operates by hunting or sweeping liquidity zones to exploit false breakouts and failed breakouts in key liquidity Zones, such as recent highs, lows, or major support and resistance levels.
This setup identifies moments when the price breaches these liquidity zones, triggering stop orders placed (Stop Hunt) by other traders, and then quickly reverses direction. These movements are often associated with liquidity sweeps that create temporary market imbalances.
The reversal is typically confirmed by one of three structural shifts : a Market Structure Shift (MSS), a Change of Character (CHoCH), or a break of the Change in State of Delivery (CISD). Each of these structural shifts provides a reliable signal to interpret market intent and align trading decisions with the expected price movement. After the structural shift, the price frequently pullback to a Fair Value Gap (FVG), offering a precise entry point for trades.
By integrating key concepts such as liquidity, liquidity sweeps, stop order activation, structural shifts (MSS, CHoCH, CISD), and price imbalances, the ICT Turtle Soup setup enables traders to identify reversal points and key entry zones with high accuracy.
This strategy is highly versatile, making it applicable across markets such as forex, stocks, cryptocurrencies, and futures. It offers traders a robust and systematic approach to understanding price movements and optimizing their trading strategies
🟣 Bullish and Bearish Setups
Bullish Setup : The price first sweeps below a Sell-Side Liquidity (SSL) zone, then reverses upward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a buying opportunity.
Bearish Setup : The price first sweeps above a Buy-Side Liquidity (BSL) zone, then reverses downward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a selling opportunity.
🔵 How to Use
To effectively utilize the ICT Turtle Soup trading setup, begin by identifying key liquidity zones, such as recent highs, lows, or support and resistance levels, in higher timeframes.
Then, monitor lower timeframes for a Liquidity Sweep and confirmation of a Market Structure Shift (MSS) or Change of Character (CHoCH).
After the structural shift, the price typically pulls back to an FVG, offering an optimal trade entry point. Below, the bullish and bearish setups are explained in detail.
🟣 Bullish Turtle Soup Setup
Identify Sell-Side Liquidity (SSL) : In a higher timeframe (e.g., 1-hour or 4-hour), identify recent price lows or support levels that serve as SSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe (e.g., 15-minute or 30-minute), the price must move below one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Higher Low (HL) and Higher High (HH).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a buy trade in this zone, set a stop-loss slightly below the recent low, and target Buy-Side Liquidity (BSL) in the higher timeframe for profit.
🟣 Bearish Turtle Soup Setup
Identify Buy-Side Liquidity (BSL) : In a higher timeframe, identify recent price highs or resistance levels that serve as BSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe, the price must move above one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Lower High (LH) and Lower Low (LL).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a sell trade in this zone, set a stop-loss slightly above the recent high, and target Sell-Side Liquidity (SSL) in the higher timeframe for profit.
🔵 Settings
Higher TimeFrame Levels : This setting allows you to specify the higher timeframe (e.g., 1-hour, 4-hour, or daily) for identifying key liquidity zones.
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filter s:
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
In the indicator settings, you can customize the visibility of various elements, including MSS, FVG, and HTF Levels. Additionally, the color of each element can be adjusted to match your preferences. This feature allows traders to tailor the chart display to their specific needs, enhancing focus on the key data relevant to their strategy.
🔵 Conclusion
The ICT Turtle Soup trading setup is a powerful tool in the ICT style, enabling traders to exploit false breakouts in key liquidity zones. By combining concepts of liquidity, liquidity sweeps, market structure shifts (MSS and CHoCH), and pullbacks to FVG, this setup helps traders identify precise reversal points and execute trades with reduced risk and increased accuracy.
With applications across various markets, including forex, stocks, crypto, and futures, and its customizable indicator settings, the ICT Turtle Soup setup is ideal for both beginner and advanced traders. By accurately identifying liquidity zones in higher timeframes and confirming structure shifts in lower timeframes, this setup provides a reliable strategy for navigating volatile market conditions.
Ultimately, success with this setup requires consistent practice, precise market analysis, and proper risk management, empowering traders to make smarter decisions and achieve their trading goals.
[blackcat] L2 Enhanced MACD Trend█ OVERVIEW
The Enhanced MACD Trend script combines traditional Moving Average Convergence Divergence (MACD) analysis with On-Balance Volume (OBV) insights to provide traders with a comprehensive understanding of market trends. By examining both price momentum and volume fluctuations, this tool aids in identifying potential upward or downward market transitions.
█ LOGICAL FRAMEWORK
Initially, the script prompts users to configure fundamental parameters such as the speed of moving averages. It subsequently utilizes a specialized auxiliary function named calculate_macd_obv_signals to perform intricate computations. This function calculates the discrepancy between two distinct types of moving averages (captured via MACD analysis), evaluates the direction of capital inflows and outflows within securities (using OBV), and applies smoothing techniques to mitigate undue influence from minor fluctuations. Ultimately, visual representations of these calculations are rendered on an additional chart pane for enhanced interpretability.
█ CUSTOM FUNCTIONS
Function: calculate_macd_obv_signals
• Purpose: Determines critical aspects associated with MACD and OBV.
• Parameters:
• fastLength (int): Dictates the responsiveness of the shorter Exponential Moving Average (EMA) to price variations.
• slowLength (int): Specifies the reactivity of the longer EMA.
• signalSmoothing (int): Defines the degree of smoothness applied to the divergence between EMAs.
• Functionality:
• macd_diff: Illustrates whether price increases have accelerated relative to previous levels or decelerated, providing insight into existing momentum.
• macd_signal_line: Smoothens macd_diff values, serving akin to a trailing indicator for macd_diff.
• macd_histogram: Visually accentuates disparities between macd_diff and macd_signal_line employing color-coded bars, facilitating identification of significant divergences.
• obv_signal: Represents a refined variant of short-term OBV concentrating solely on periods characterized by elevated buying interest, aiding in reduction of extraneous signals.
• moving_average_short: Analyzes recent closing prices across several sessions to corroborate burgeoning bullish or bearish tendencies.
• Returns: An array encompassing .
█ KEY POINTS AND TECHNIQUES
Advanced Features: Employs sophisticated functions including ta.ema() and ta.sma(), enabling accurate calculation of EMAs and SMAs respectively, thus enhancing precision in trend detection.
Optimization Techniques: Incorporates customizable inputs (input.int) permitting strategic adjustments alongside scrutiny of escalating or declining volumes to accurately gauge genuine sentiment shifts while discounting insignificant anomalies.
Best Practices: Maintains separation between algorithmic processes and graphical outputs, preserving organizational clarity; hence simplifying debugging efforts and future enhancements.
Unique Approaches: Integrates multifaceted assessments simultaneously – amalgamating candlestick formations and volumetric activities – offering a holistic perspective instead of reliance on singular indicators. Consequently, delivers astute recommendations grounded in diverse analytical underpinnings rather than speculative forecasts.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
Potential Modifications:
1 — Implement automated alert mechanisms signaling crossover events pinpointing optimal buy/sell junctures to fine-tune timing preemptively minimizing losses proactively.
2 — Enable user customization of sensitivity criteria governing trigger intensity thereby eliminating trivial aberrations and emphasizing substantial patterns exclusively.
Application Scenarios:
Beneficial for high-frequency trading aiming to capitalize on fleeting price movements swiftly. Suitable for dynamic environments necessitating rapid responses due to frequent market volatility demanding prompt reactions. Perfect for individuals engaging in regular transactions seeking unparalleled accuracy navigating fluctuating circumstances ensuring consistent profitability amidst disturbances maintaining steady yields irrespective of upheavals.
Related Concepts:
Contemplate interactions among oscillators (such as MACD) and volume metrics detecting instances wherein they oppose each other (indicative of divergences) or concur (signaling crossovers). Profound comprehension of these interrelationships substantially refines trading strategies integrating broader economic factors, seasonal influences guiding overarching plans resulting in heightened predictive capabilities elevating trading effectiveness leveraging cumulative information transforming unprocessed statistics into actionable intelligence empowering informed decisions advancing confidently toward objectives effortlessly scaling achievements seamlessly realizing aspirations effortlessly.
RSI Status v1Simple RSI status indicator that displays GREEN for RSI cross-up of its EMA, and RED for RSI cross-down of its EMA. RSI value is also displayed.
Dynamic Signal Engine Description
The Dynamic Signal Engine is a powerful trading indicator that combines two robust methodologies—Linear Regression Oscillator (LRO) and ENIGMA logic. This tool dynamically adapts to different trading styles, including Scalping, Intraday, and Swing Trading, while offering users complete control over customization.
Key Features:
1. Trading Style Adaptation:
- Pre-configured default settings for Scalping, Intraday, and Swing Trading.
- Allows users to tweak key inputs (LRO Length, thresholds, line lengths, etc.) for personalized strategies.
2. Integrated Logic:
- Combines trend detection via LRO with ENIGMA's buy/sell signal logic for enhanced precision.
3. Visualization:
- Clear buy and sell arrows on the chart.
- Optional horizontal lines for significant levels with user-defined labels.
- Candle coloring based on LRO trends.
4. Customizable Inputs:
- Enables full control over key parameters such as the number of trades, thresholds, and styles of visualization.
How It Works:
- Select a Trading Style: Scalping, Intraday, or Swing Trading. The indicator applies default settings aligned to the style.
- Customizable: Modify settings dynamically to suit your preferences for risk management or strategy focus.
- Trade Identification: LRO detects market trends, and ENIGMA identifies entry/exit opportunities based on previous highs and lows.
Disclaimer:
This indicator is designed to assist in technical analysis and does not guarantee trading success. It should be used as part of a broader trading strategy. Always practice risk management and trade responsibly.
Uptrick: Smart BoundariesThis script is an indicator that combines the RSI (Relative Strength Index) and Bollinger Bands to highlight potential points where price momentum and volatility may both be at extreme levels. Below is a detailed explanation of its components, how it calculates signals, and why these two indicators have been merged into one tool. This script is intended solely for educational purposes and for traders who want to explore the combined use of momentum and volatility measures. Please remember that no single indicator guarantees profitable results.
Purpose of This Script
This script is designed to serve as a concise, all-in-one tool for traders seeking to track both momentum and volatility extremes in real time. By overlaying RSI signals with Bollinger Band boundaries, it helps users quickly identify points on a chart where price movement may be highly stretched. The goal is to offer a clearer snapshot of potential overbought or oversold conditions without requiring two separate indicators. Additionally, its optional pyramiding feature enables users to manage how many times they initiate trades when signals repeat in the same direction. Through these combined functions, the script aims to streamline technical analysis by consolidating two popular measures—momentum via RSI and volatility via Bollinger Bands—into a single, manageable interface.
1. Why Combine RSI and Bollinger Bands
• RSI (Relative Strength Index): This is a momentum oscillator that measures the speed and magnitude of recent price changes. It typically ranges between 0 and 100. Traders often watch for RSI crossing into “overbought” or “oversold” levels because it may indicate a potential shift in momentum.
• Bollinger Bands: These bands are plotted around a moving average, using a standard deviation multiplier to create an upper and lower boundary. They help illustrate how volatile the price has been relative to its recent average. When price moves outside these boundaries, some traders see it as a sign the price may be overstretched and could revert closer to the average.
Combining these two can be useful because it blends two different perspectives on market movement. RSI attempts to identify momentum extremes, while Bollinger Bands track volatility extremes. By looking for moments when both conditions agree, the script tries to highlight points where price might be unusually stretched in terms of both momentum and volatility.
2. How Signals Are Generated
• Buy Condition:
- RSI dips below a specified “oversold” level (for example, 30 by default).
- Price closes below the lower Bollinger Band.
When these occur together, the script draws a label indicating a potential bullish opportunity. The underlying reasoning is that momentum (RSI) suggests a stronger-than-usual sell-off, and price is also stretched below the lower Bollinger Band.
• Sell Condition:
- RSI rises above a specified “overbought” level (for example, 70 by default).
- Price closes above the upper Bollinger Band.
When these occur together, a label is plotted for a potential bearish opportunity. The rationale is that momentum (RSI) may be overheated, and the price is trading outside the top of its volatility range.
3. Pyramiding Logic and Trade Count Management
• Pyramiding refers to taking multiple positions in the same direction when signals keep firing. While some traders prefer just one position per signal, others like to scale into a trade if the market keeps pushing in their favor.
• This script uses variables that keep track of how many recent buy or sell signals have fired. If the count reaches a user-defined maximum, no more signals of that type will trigger additional labels. This protects traders from over-committing to one direction if the market conditions remain “extreme” for a prolonged period.
• If you disable the pyramiding feature, the script will only plot one label per side until the condition resets (i.e., until RSI and price conditions are no longer met).
4. Labels and Visual Feedback
• Whenever a buy or sell condition appears, the script plots a label directly on the chart:
- Buy labels under the price bar.
- Sell labels above the price bar.
These labels make it easier to review where both RSI and Bollinger Band conditions align. It can be helpful for visually scanning the chart to see if the signals show any patterns related to market reversals or trend continuations.
• The Bollinger Bands themselves are plotted so traders can see when the price is approaching or exceeding the upper or lower band. Watching the RSI and Bollinger Band plots simultaneously can give traders more context for each signal.
5. Originality and Usefulness
This script provides a distinct approach by merging two well-established concepts—RSI and Bollinger Bands—within a single framework, complemented by optional pyramiding controls. Rather than using each indicator separately, it attempts to uncover moments when momentum signals from RSI align with volatility extremes highlighted by Bollinger Bands. This combined perspective can aid in spotting areas of possible overextension in price. Additionally, the built-in pyramiding mechanism offers a method to manage multiple signals in the same direction, allowing users to adjust how aggressively they scale into trades. By integrating these elements together, the script aims to deliver a tool that caters to diverse trading styles while remaining straightforward to configure and interpret.
6. How to Use the Indicator
• Configure the Inputs:
- RSI Length (the lookback period used for the RSI calculation).
- RSI Overbought and Oversold Levels.
- Bollinger Bands Length and Multiplier (defines the moving average period and the degree of deviation).
- Option to reduce pyramiding.
• Set Alerts (Optional):
- You can create TradingView alerts for when these conditions occur, so you do not have to monitor the chart constantly. Choose the buy or sell alert conditions in your alert settings.
• Integration in a Trading Plan:
- This script alone is not a complete trading system. Consider combining it with other forms of analysis, such as support and resistance, volume profiles, or candlestick patterns. Thorough research, testing on historical data, and risk management are always recommended.
7. No Performance Guarantees
• This script does not promise any specific trading results. It is crucial to remember that no single indicator can accurately predict future market movements all the time. The script simply tries to highlight moments when two well-known indicators both point to an extreme condition.
• Actual trading decisions should factor in a range of market information, including personal risk tolerance and broader market conditions.
8. Purpose and Limitations
• Purpose:
- Provide a combined view of momentum (RSI) and volatility (Bollinger Bands) in a single script.
- Assist in spotting times when price may be at an extreme.
- Offer a configurable system for labeling potential buy or sell points based on these extremes.
• Limitations:
- Overbought and oversold conditions can persist for an extended period in trending markets.
- Bollinger Band breakouts do not always result in immediate reversals. Sometimes price keeps moving in the same direction.
- The script does not include a built-in exit strategy or risk management rules. Traders must handle these themselves.
Additional Disclosures
This script is published open-source and does not rely on any external or private libraries. It does not use lookahead methods or repaint signals; all calculations are performed on the current bar without referencing future data. Furthermore, the script is designed for standard candlestick or bar charts rather than non-standard chart types (e.g., Heikin Ashi, Renko). Traders should keep in mind that while the script can help locate potential momentum and volatility extremes, it does not include an exit strategy or account for factors like slippage or commission. All code comes from built-in Pine Script functions and standard formulas for RSI and Bollinger Bands. Anyone reviewing or modifying this script should exercise caution and incorporate proper risk management when applying it to their own trading.
Calculation Details
The script computes RSI by examining a user-defined number of prior bars (the RSI Length) and determining the average of up-moves relative to the average of down-moves over that period. This ratio is then scaled to a 0–100 range, so lower values typically indicate stronger downward momentum, while higher values suggest stronger upward momentum. In parallel, Bollinger Bands are generated by first calculating a simple moving average (SMA) of the closing price for the user-specified length. The script then measures the standard deviation of closing prices over the same period and multiplies it by the chosen factor (the Bollinger Bands Multiplier) to form the upper and lower boundaries around the SMA. These two measures are checked in tandem: if the RSI dips below a certain oversold threshold and price trades below the lower Bollinger Band, a condition is met that may imply a strong short-term sell-off; similarly, if the RSI surpasses the overbought threshold and price rises above the upper Band, it may indicate an overextended move to the upside. The pyramiding counters track how many of these signals occur in sequence, preventing excessive stacking of labels on the chart if conditions remain extreme for multiple bars.
Conclusion
This indicator aims to provide a more complete view of potential market extremes by overlaying the RSI’s momentum readings on top of Bollinger Band volatility signals. By doing so, it attempts to help traders see when both indicators suggest that the market might be oversold or overbought. The optional reduced pyramiding logic further refines how many signals appear, giving users the choice of a single entry or multiple scaling entries. It does not claim any guaranteed success or predictive power, but rather serves as a tool for those wanting to explore this combined approach. Always be cautious and consider multiple factors before placing any trades.
XAUUSD Daily Strategy with AlertsTrend Strategy for Trading XAUUSD
A Trend Strategy in trading XAUUSD (gold) focuses on identifying and capitalizing on the market's prevailing directional momentum. Gold is a highly liquid asset and often moves in significant trends due to its sensitivity to global economic conditions, inflation expectations, interest rates, and geopolitical events. A trend-following strategy aims to ride these movements, either upward (bullish trend) or downward (bearish trend), maximizing profit potential while minimizing risks.
Key Components of a Trend Strategy for XAUUSD:
Trend Identification:
Use technical indicators such as moving averages (e.g., EMA, SMA) or trendlines to determine the direction of the trend.
A bullish trend is characterized by higher highs and higher lows, while a bearish trend features lower highs and lower lows.
Example: Employ the 50 EMA and 200 EMA Crossover to confirm trend direction. When the 50 EMA crosses above the 200 EMA, it indicates a bullish trend, and vice versa for a bearish trend.
Entry Points:
Enter trades in the direction of the trend. For a bullish trend, buy on pullbacks to support levels or moving averages. For a bearish trend, sell on pullbacks to resistance levels.
Indicators like the RSI (Relative Strength Index) or Stochastic Oscillator can help identify overbought or oversold conditions, providing better entry points.
Exit Points:
Use predefined take-profit and stop-loss levels to manage trades effectively.
For take-profit, set targets at major resistance levels for long positions or support levels for short positions.
For stop-loss, use levels slightly below the recent swing low in a bullish trend or above the recent swing high in a bearish trend.
Confirmation Indicators:
Incorporate additional indicators like the MACD (Moving Average Convergence Divergence) or ADX (Average Directional Index) to confirm trend strength.
The ADX value above 25 suggests a strong trend, while values below 20 indicate a weak or range-bound market.
Risk Management:
Use proper position sizing, typically risking no more than 1-2% of your account per trade.
Avoid over-leveraging, as XAUUSD is highly volatile, which can lead to large price swings.
Trend Continuation and Reversal Monitoring:
Watch for signs of trend exhaustion or reversal using candlestick patterns (e.g., Doji, Engulfing) or divergence on indicators like RSI or MACD.
When the trend weakens, adjust your positions or exit trades to lock in profits.
FRACTAL ACADEMY - GOLD - MORNING ZONEThis indicator is designed to identify key price zones (Golden Zone) and analyze market structures based on the fractal strategy. It highlights the most critical price ranges during the morning session, helping traders identify maximum and minimum price levels and essential trends.
Key Features:
Fractal-Based Zones: Identifies and visualizes fractal price zones for better market analysis.
Maximum and Minimum Levels: Tracks and displays the high and low points within the session for precise trading decisions.
Customizable Settings: Allows users to personalize the visual appearance and functionality of the indicator.
Daily Dividers: Highlights daily separations to organize market data clearly.
This indicator is a powerful tool for professional traders who want to leverage fractal strategies in the gold market, particularly in the morning trading session.
Momentum Indicators SuiteThis script is a Momentum Indicators Suite for traders using Pine Script™ (version 5). Its purpose is to evaluate market conditions by aggregating signals from multiple technical indicators into a single "bullish," "bearish," or "neutral" state. Below is a detailed breakdown of its components and functionality:
1. Indicators Used
The script incorporates several well-known technical indicators to assess market momentum:
RSI (Relative Strength Index)
MACD (Moving Average Convergence Divergence)
Stochastic Oscillator
TSI (True Strength Index)
CCI (Commodity Channel Index)
Choppiness Index
Vortex Indicator
Momentum and ROC (Rate of Change)
2. Scoring System
Each indicator assigns points based on its signals:
+1 Point for bullish conditions.
-1 Point for bearish conditions.
0 Points for neutral or indecisive signals.
These points are aggregated to calculate a total score (totalPoints), representing overall market momentum.
3. Market State Determination
The total points determine the market state:
Bullish if totalPoints > 0.
Bearish if totalPoints < 0.
4. Dynamic Trend Label
When the market state changes, a label is added to the chart:
Green label for bullish trends.
Red label for bearish trends.
5. Visual Enhancements - Plot and Fill (Optional)
6. Customization - Traders can adjust several inputs for fine-tuning:
7. Target Audience - This script is ideal for:
Traders who rely on momentum and trend analysis for decision-making.
Those seeking a consolidated view of multiple indicators.
Swing and day traders aiming to identify trend changes promptly.
8. Potential Use Cases
Trend Confirmation: Helps confirm bullish or bearish market trends.
Trade Setup Identification: Assists in aligning trades with dominant market momentum.
Risk Management: Signals market neutrality or choppiness to avoid indecisive conditions.
This script simplifies complex momentum analysis by aggregating multiple indicators into actionable insights, making it a valuable tool for technical traders.
Volume Profile / Fixed Range with Strong Levels (DanLetto)Индикатор формирует профиль объёма по заданному числу баров, показывает POC и Value Area, визуализируя бычьи и медвежьи объёмы. Он находит сильные уровни, сортирует их по убыванию объёма и рисует линии разной толщины, отражая относительную “силу” каждого уровня.
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Enhanced Zigzag & Pivot Levels### Description of the Script
This TradingView Pine Script combines **Zigzag Channels**, **Pivot Points**, **Missed Levels**, and a **Trend Filter** to provide a comprehensive market analysis tool. It is designed to help traders identify key market levels, trends, and potential reversals while maintaining clarity and simplicity.
### Components of the Script
1. **Zigzag Channels**:
- **Purpose**: Highlights significant price swings by connecting pivot highs and lows.
- **How It Works**:
- Uses a specified length (`zigzag_length`) to calculate significant highs and lows.
- Draws dynamic lines between consecutive highs and lows, helping visualize market structure and directional moves.
- **Visuals**: Zigzag lines in **orange** (or your chosen color).
2. **Pivot Points**:
- **Purpose**: Marks key turning points in the market (local highs and lows).
- **How It Works**:
- Identifies pivot highs and lows using `ta.pivothigh` and `ta.pivotlow` with the input `length`.
- Labels these points on the chart using upward (`▲`) or downward (`▼`) arrows.
- **Visuals**:
- Pivot highs are marked with **red labels**.
- Pivot lows are marked with **green labels**.
3. **Missed Levels**:
- **Purpose**: Highlights missed highs and lows that are lower than previous highs or higher than previous lows, which may signal missed opportunities or market inefficiencies.
- **How It Works**:
- Compares the current pivot point to the last zigzag extreme.
- If the current high is below the last high or the current low is above the last low, it labels the missed levels.
- **Visuals**: Missed levels are marked with **gray labels** labeled "Missed High" or "Missed Low."
4. **Trend Filter (SMA)**:
- **Purpose**: Provides a simple context for market direction based on a moving average.
- **How It Works**:
- Computes a Simple Moving Average (SMA) of the `close` price over a user-defined period (`sma_length`).
- Indicates an **uptrend** when the price is above the SMA and a **downtrend** when below.
- **Visuals**: SMA is plotted as a **blue line**.
### Inputs
- **Pivot Length** (`length`): Number of bars to the left and right used to identify pivot highs and lows.
- **Zigzag Length** (`zigzag_length`): Period for calculating zigzag channel points.
- **SMA Length** (`sma_length`): Period for the trend filter.
- Toggle options to show/hide:
- Pivot points
- Zigzag channels
- Missed levels
- Labels
- Customizable colors for:
- Pivot highs and lows
- Zigzag lines
- Missed levels
- Trend filter (SMA)
### How It Works
1. **Pivot Points Detection**:
- The script calculates pivot points using the specified `length`.
- If a new high or low is detected, it places a label at the bar corresponding to the pivot.
2. **Zigzag Line Plotting**:
- Lines are drawn dynamically to connect the most recent pivot points.
- These lines represent swings and give a clear view of market structure.
3. **Missed Levels Detection**:
- Compares each pivot high/low to the previous zigzag extreme.
- Labels missed levels with tooltips that show their exact values.
4. **Trend Confirmation**:
- Uses the SMA to provide context for the overall trend.
- Traders can use this to decide whether to prioritize long or short opportunities.
### Example Use Cases
1. **Trend Confirmation**:
- Use the SMA to identify the prevailing market trend.
- Trade in the direction of the trend (e.g., look for buying opportunities above the SMA).
2. **Swing Trading**:
- Use the zigzag lines to identify key swing points for entry or exit.
3. **Missed Opportunities**:
- Look for missed highs or lows to spot market inefficiencies or reversal zones.
4. **Support and Resistance**:
- Pivot points can act as potential support or resistance levels.
### Visual Example
- **Uptrend**:
- Price above the SMA (blue line).
- Zigzag lines showing higher highs and higher lows.
- Pivot highs and lows aligning with the trend.
- **Downtrend**:
- Price below the SMA.
- Zigzag lines showing lower highs and lower lows.
- Pivot points reinforcing the bearish structure.
Custom Percent Pullback LevelThis script takes a stock's current day low and current day high and lets you set a custom pullback level that you can then set an alert for or use as an indicator if the stock is still bullish or bearish.
This can be useful for momentum runners as you may want to see only a set % (default is 50%) pullback in order to have a good chance for continuation. With the alert option you can set the percentage pullback you'd like to see in order to get eyes back on the stock
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One-indicator to rewl demz all
- 7-splay moving averages w/ 10+ type modifier (MA)
- Bollinger Bands (BB)
- Donchian Channel (DC)
- Ichimoku Cloud (IMC)
- Stop n' Reverse (SAR)
- Auto Trendliner (ATL)
- Palantíri Pivotz (PP)
what more could you ask for?? Rings of power?
you can have that too, w/ this tool's complementary companion indicator "Ringz_o'_Power".
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Supertrend with Multiple EMA by KanzuBaeFeatures:
ATR (Average True Range) Settings:
Allows the user to adjust the ATR period and multiplier for the Supertrend calculation.
Offers an option to choose between the standard ATR or a simple moving average (SMA) for ATR calculation.
Source Price:
Users can select from four different EMAs (EMA1, EMA2, EMA3, EMA4) or use the default HL2 (average of high and low) as the source price for calculating the Supertrend.
The EMAs are calculated with adjustable periods.
Supertrend Calculation:
The Supertrend is calculated using the selected source price and ATR values. The trend direction is determined based on whether the closing price is above or below the Supertrend lines.
Trend Plotting:
The script plots the Supertrend lines: green for an uptrend and red for a downtrend. These lines are updated based on trend reversals.
Buy/Sell Signals:
The script generates buy and sell signals based on trend reversals (when the trend changes from up to down or vice versa).
Buy and sell signals are marked on the chart using shapes and labels.
Background Highlighting:
The background is highlighted in green for an uptrend and red for a downtrend. This can be turned on or off using the highlighting option.
EMA Lines:
The selected EMAs (EMA1, EMA2, EMA3, EMA4) are plotted on the chart for reference.
Alerts:
Alerts are triggered when a buy or sell signal occurs or when the trend direction changes.
Customization:
You can adjust the ATR period, multiplier, and EMA periods.
You can enable or disable the display of buy/sell signals and background highlighting.
The script allows for flexibility in choosing which EMA to use for the source price.
This script provides a versatile Supertrend indicator with multiple EMA options and various customization choices for traders who want more control over their strategy.
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Multi-Timeframe Liquidity LevelsMulti-Timeframe Liquidity Levels – Overview
The Multi-Timeframe Liquidity Levels indicator automatically displays significant highs and lows from various timeframes (Daily, Weekly, Monthly, and Quarterly) on your current chart. This allows traders to quickly identify potential support and resistance zones without frequently switching between different timeframe charts. Additionally, the script offers extra lines for special reference points (e.g., the “Midnight” midpoint of the current day and the previous day’s open/close) to highlight potential liquidity zones even more clearly.
1. Core Idea and Benefits
Time-Saving: Instead of manually reviewing charts in different timeframes, the indicator fetches relevant high/low levels automatically and shows them on your active timeframe.
Clear Layout: Traders instantly see where the Daily, Weekly, Monthly, and Quarterly highs and lows lie—areas often associated with institutional orders or liquidity hunts.
Customizable: You can tailor the color scheme, line style (Solid, Dashed, Dotted), and line width, ensuring the displayed levels fit your personal charting style.
2. How It Works
Multi-Timeframe High/Low
For each timeframe (Day, Week, Month, Quarter), the indicator references the previous candle’s high and low (high , low ).
Using request.security(...), these values are plotted on the chart you’re currently viewing.
Flexible Display
You can individually enable or disable the Daily, Weekly, Monthly, and Quarterly lines, depending on which levels are most relevant to your trading.
With Line Style (Solid, Dashed, Dotted) and Line Width, you can easily emphasize certain lines you consider more important.
Additional Lines
“Midnight” Line: A theoretical midpoint between today’s high and low, which can be useful for gauging daily pivot areas.
Previous Day’s Open/Close: Many traders track these reference points to anticipate market reactions. You can show or hide these lines as desired.
Automatic Line Removal & Creation
When a particular timeframe (e.g., “Show Monthly Levels”) is disabled, the script automatically removes the existing monthly lines.
Enabling it again recreates those lines without hassle.
3. Usage and Interpretation
Identifying Support and Resistance
Highs and lows from higher timeframes are often key zones for entries, exits, or major market reactions.
A Daily level may be crucial for short-term traders, whereas Monthly or Quarterly levels can indicate long-term liquidity areas.
Spotting Market Shifts
If price decisively moves above a Higher-Timeframe line, it could signal strong momentum.
Conversely, a failed breakout (where price quickly returns under or above a level) might warn of a potential reversal.
Extra Lines as Filters
The “Midnight” Line helps visualize a rough central price for the current day, aiding in intraday directional bias.
Previous Day’s Open/Close: Common reference points for day traders, where swift approaches and rejections can indicate potential entries or partial take-profit zones.
4. Practical Tips
Use Color-Coding Wisely: Assign distinct colors (e.g., Blue for Daily, Green for Weekly, Orange for Monthly, Purple for Quarterly) so you can easily discern which timeframe you’re looking at.
Toggle On/Off As Needed: Day traders might focus on Daily and Weekly, while long-term traders may pay closer attention to Monthly and Quarterly.
Combine with Price Action: Lines alone don’t constitute a trading strategy. Use them alongside candlestick patterns, volume analysis, or other indicators for a more complete market perspective.
5. Important Notes & Recommendations
Not Financial Advice: This indicator simply reflects historical high/low data across multiple timeframes and does not constitute a buy or sell recommendation.
Trader Responsibility: Observe how the market actually behaves around these lines and adapt your risk management accordingly.
突兀量標記+均線顯示Volume Spike Indicator：
用來檢測交易量的異常變動（例如大幅上升或下降）。當交易量顯著高於歷史平均值或達到某一設定閾值時，該指標會標記出「突兀量」，也稱為交易量尖峰。
Moving Average Overlay：
將均線疊加於交易量圖表上，幫助觀察交易量的整體趨勢與變化，例如短期和長期均值的比較。
這種指標通常用於技術分析中，協助交易者識別市場異常活動（例如機構交易、大額交易或突然的市場反應），並將這些異常與長期趨勢結合進行解讀
Moyenne Mobile Réactive MulticoloreUses a custom weighting formula to give more weight to recent prices
Incorporates trend calculation based on period comparisons, similar to the logic used in complex trading systems.
Range phase detection uses a threshold of 0.1% variation, which allows consolidation periods to be identified
Christmas RSI with Jingle Bell [TrendX_]Jingle Bell 🔔, Jingle Bell 🔔, Jingle all the chart 📈 Merry Christmas Tradingview Community !!!
Introducing the Jingle Bell Indicator, a festive Pine Script creation designed to spread joy and luck to your trading endeavors. The Bow will change colors based on the reaction of RSI with the 50 level. Add a Jingle Bell drawing to your charts and celebrate the most wonderful time of the year. Turn on alert for today to get my Merry Christmas wish.
This indicator is my gift to the Tradingview community, designed to bring a touch of luck to your trades. Hope this Jingle Bell will bring some joy and festive vibes to your trading experience.
