LPPL Critical Pulse (by BigBlueCheese) Version 1.1LPPL Critical Pulse (by BigBlueCheese)
I couldn’t locate a single script on TradingView that utilized the Log-Periodic Power Law (LPPL) and period doubling—key tools used by street professionals. Here is my first script…More to come.
Log-Periodic Power Law (LPPL)
LPPL is a mathematical framework used to model asset price bubbles that can help predict market crashes or corrections. It is based on the idea that speculative bubbles exhibit self-reinforcing, positive feedback behavior that leads to increasingly unsustainable price growth, followed by a crash or correction. But the big news is that because of the speculative behavior it can identify, it has equal application across many other instruments & timeframes.
The LPPL, has been around since the 1950’s and 1960’s where its theoretical foundation lies in the concepts of renormalized group theory and critical point behavior. Physicists Lev Landau, Vitaly Ginzburg & Kenneth Wilson contributed to how we can understand systems behave at critical points and was further developed by Benoit Mandelbrot via the concept of discrete scale invariance and log-periodicity. The concepts were popularized by Didier Sornette in Why Stock Markets Crash, where he used his model to detect when markets are experiencing extreme price movements, indicating the potential for a bubble to burst or a significant correction to occur. It is suspected that others like Jim Simons was an early adopter/adapter of this (and other) advanced mathematical concepts. LPPL is especially valuable for traders trying to anticipate rapid price movements—both upward and downward.
What is a Speculative Bubble?
A speculative bubble forms when an asset’s price skyrockets due to excitement from investors, pushing it well beyond its true value. At some point, this unsustainable growth leads to a crash, as the bubble “pops.” However, these crashes don’t need to be massive market-shaking events. They can also emerge from short-term price anomalies in any market or timeframe…..and they apply equally to upward & downward price moves. That is you can use this approach for both long and short trades.
Power Law & Log-Periodicity
The Power Law aspect describes how prices accelerate as they approach a critical point, forming a steep curve that signals instability.
The Log-Periodic component captures the oscillations that grow increasingly frequent as the price nears this tipping point, marking rising volatility.
Criticality in Trading: Feedback Loops, Attractors and Repellers
LPPL can be applied to financial markets by comparing them to natural systems prone to critical points, like avalanches or earthquakes. The key concept is criticality—the idea that, just like pressure building in an earthquake zone or snow stacking up on a mountain, there’s a feedback loop in markets where investor behavior becomes increasingly synchronized. This creates a self-reinforcing cycle, accelerating price movements until the system can no longer sustain the tension, and it collapses—similar to a critical phase shift in nature when physical systems experience sudden, catastrophic events when they reach a critical threshold.
In this context, the LPPL model aims to identify these critical points in financial markets by recognizing specific patterns in price movements, providing insight into the potential timing of major market shifts.
This is how markets can behave like attractors (drawing prices into unsustainable growth or collapses) or repellers (pushing them away through sudden corrections), depending on the balance of forces. LPPL captures this dynamic, helping traders anticipate when the market is nearing these critical moments.
Attractors are states or patterns that a system tends to gravitate towards over time, representing points of stability or equilibrium. Repellers are states that the system tends to avoid or move away from, representing instability or points of divergence.
In the context of the LPPL model, the market is seen as a dynamic system that is moving towards a critical point—often a bubble or a crash. The critical point itself can be viewed as an attractor, pulling the market toward a period of instability as prices accelerate and oscillations become more frequent. This movement reflects positive feedback loops, where investor behavior (e.g., herd mentality or speculative buying) reinforces the trend until it reaches an unsustainable level.
Conversely, once the critical point is reached, it can act as a repeller, causing the system (market) to rapidly move away from that state, often resulting in a crash or market correction. In essence, the LPPL model tries to identify these phases of movement toward or away from critical points, using attractors and repellers to describe the behavior of the system before and after major market events.
This dynamic interaction between stability and instability, or attractors and repellers, is a key feature of how Sornette’s LPPL approach models financial markets, emphasizing the market’s ability to oscillate between periods of calm and critical shifts.
Bubbles and Crashes in Any Timeframe
While people often think of bubbles and crashes as huge events like the Crash of 87, the Global Financial Crisis or COVID-19, they can also be much smaller or instrument specific. A short-term spike in a stock or a sudden currency drop can behave like a miniature bubble. LPPL helps spot these shorter-term price anomalies, making it versatile for traders looking for opportunities in all instruments and timeframes.
How Can I Use LPPL Critical Pulse?
Monitor price acceleration that signals unsustainable growth/movement .
Spot volatility, oscillations, extensions and compressions and exhaustion as the market nears critical instability and levels.
Combine with other indicators to help time entries and exits, manage risk as markets approach/consolidate/leave critical levels.
LPPL Critical Pulse (LPPLCP)
LPPLCP is based on LPPL principles that identify potential upward and downward market movements, exhaustion and consolidation periods.
Visualization
The LPPL line is smoothed using a moving average to reduce noise, and the result is scaled to fit within the price range of the past 100 bars, aligning the LPPL line with the price movements on the chart.
Dynamic LPPL Line Plot:
A smoothed and scaled LPPL line plotted directly on the price chart.
• Color-Coded Trend Analysis: The LPPL line changes color dynamically based on the conditions of slope and acceleration to reflect market behaviors such as period doubling or exhaustion.
1. White (Exhaustion/Consolidation Condition): Indicates that both the slope and the acceleration of the LPPL line are zero, suggesting a potential market flattening or exhaustion/consolidation. At the end of this period, a new trend may emerge OR the prior trend may reassert itself.
2. Purple (Period Doubling): This color appears when the LPPL model detects rapid changes in acceleration, indicating the potential for a market turning point (period doubling). The slope of the LPPL line during this period suggests whether the market is moving upward or downward.
3. Green (Positive Slope with Increasing Acceleration): A green LPPL line suggests that the market is in an upward trend, with increasing acceleration.
4. Red (Negative Slope with Decreasing Acceleration): A red LPPL line indicates a downward market trend with decreasing acceleration.
5. Yellow (Neutral): Yellow is the default color when none of the specific conditions (exhaustion, period doubling, positive/negative slope with acceleration) are met, i.e. generally a continuation of the prior condition but at a slower pace.
Customization for Any Market
LPPL Critical Pulse has application across most time frames for pretty much whatever you want to trade…stocks, commodities, currencies, futures, and more. You will have to tweak the inputs to optimize for the market(s) you choose to trade.
Inputs
1. Lookback Period for Adaptation
o Type: Integer
o Default: 1
o Description: Defines the lookback period for calculating the Simple Moving Average (SMA) and Standard Deviation (StDev) used in the LPPL model. A higher value smooths the calculations over a longer period.
2. Period Doubling Threshold
o Type: Float
o Default: 0.01
o Description: Determines the sensitivity for detecting period doubling in the LPPL line. A lower threshold increases sensitivity.
3. Flattening Threshold
o Type: Float
o Default: 0.01
o Description: This input is not actively used in the current version but can be modified for further customizations in the LPPL model.
4. Period Doubling Acceleration Threshold
o Type: Float
o Default: 0.02
o Description: This controls the threshold for detecting rapid changes in the LPPL acceleration, helping identify when period doubling occurs.
Calculation Components
The LPPL line is calculated using several components:
• SMA (A): The simple moving average of the closing prices over the selected lookback period.
• Standard Deviation (B, C): These parameters are calculated based on the standard deviation of prices and control the amplitude of the LPPL oscillations.
• Exponential Decay: The LPPL line decays as it approaches a theoretical critical time (tc), where market crashes or rapid changes may occur.
Disclaimer.
Not investment advice. Use at your own risk. Past results do not represent and are not indicative of future results
Indicators and strategies
RSI/MFI Divergence Finder [idahodev]Monitoring RSI (Relative Strength Index) and MFI (Money Flow Index) divergences on a stock or index chart offers several benefits to traders and analysts. Let's break down the advantages:
Comprehensive Market View: Combining both indicators provides a more complete picture of market conditions, as they measure different aspects of price movement. RSI focuses on recent gains/losses relative to price change, while MFI incorporates volume data to assess money flow in and out of a security.
Enhanced Signal Accuracy: When divergences occur simultaneously in both RSI and MFI, it may be considered a stronger signal than if only one indicator showed divergence. This can potentially lead to more reliable trading decisions.
Identification of False Breakouts: Divergences between these indicators and price action can help identify false breakouts or misleading price movements that are not supported by underlying market strength or volume.
More Nuanced Market Understanding: By examining divergent behavior between money flow (MFI) and momentum (RSI), traders gain a more detailed comprehension of the interplay between these factors in shaping market trends.
Early Warning Signs: These divergences can act as early warning signs for potential trend reversals or changes in market sentiment, allowing traders to adjust their strategies proactively.
It's important to note that RSI/MFI divergences should be used as part of a broader trading strategy rather than solely relying on them for buy/sell signals. They can serve as valuable tools for confirming trends, identifying potential turning points, or warning against overbought/oversold conditions.
When using these indicators together, traders must be cautious of false signals, especially in choppy markets or during periods of high volatility. It's crucial to combine this analysis with other technical and fundamental factors before making trading decisions.
In summary, monitoring RSI/MFI divergences may offer a way to gain insights into the underlying strengths and weaknesses of market movements.
This utility differs from other in that it allows for a choke/threshold/sensitivity setting to help weed out noisy signals. This needs to be carefully adjusted per chart.
It also allows for tuning of the MFI smoothing length (number of bars on the current chart) as well as how many previous bars it will take into consideration when calculating RSI and MFI divergences. It will signal when it sees alignment forming between RSI and MFI divergences in a direction. You will likely need to tune this script's settings every few days or at least anytime there is a change in overall market behavior or sustained volatility.
Ultimately, the goal with this script is to provide an additional level of confirmation of weakness or strength. It should be combined with other indicators such as exhaustion, pivots, supply/demand, trendline breaks or tests, and structure changes, to name a few complementary tools or strategies. It's not meant to be a standalone buy/sell signal indicator!
Here are some settings for futures that may help you get started:
ES (4m chart)
RSI Length: 26
MFI Length: 8
MFI Smoothing Length: 32
Divergence Sensitivity: 124
Left Bars for Pivot: 10
Right Bars for Pivot: 1
NQ (4m chart)
RSI Length: 14
MFI Length: 14
MFI Smoothing Length: 21
Divergence Sensitivity: 400
Left Bars for Pivot: 21
Right Bars for Pivot: 1
YM (4m chart)
RSI Length: 14
MFI Length: 14
MFI Smoothing Length: 21
Divergence Sensitivity: 810
Left Bars for Pivot: 33
Right Bars for Pivot: 1
thinkCNE - Key with Multiple ColoursCustomisable Key with Multi-Coloured Highlights for Chart Annotations
Overview:
This Customizable Key indicator is designed to provide traders with a clear and visually customizable legend that can be displayed on their chart. It allows users to annotate their charts with up to 10 distinct labels, each paired with a unique color-coded square. This feature is especially useful when you need to visually differentiate between various technical elements on your chart, such as support/resistance levels, Fair Value Gaps (FVGs), or important pivot points.
Key Features:
Customizable Labels and Colors: Each row in the table can be customized with unique text and background colors. This flexibility allows traders to create a personalized key that reflects the specific elements they are tracking, such as monthly FVGs, daily supports, volume-based zones, or any other custom annotations.
Flexible Number of Rows: The user can enable or disable rows as needed, which ensures that the table only shows relevant information. If fewer than 10 rows are required, the unused rows can be hidden from view, maintaining a clean and uncluttered chart.
Dynamic Table Placement: The key can be placed at different positions on the chart (top-right, middle-right, or bottom-right), giving users control over where the key appears to avoid covering important parts of their technical analysis.
Adjustable Size and Text Format: Users can customize the size of the color squares, the text, and even the overall appearance of the table. The text size can range from small to huge, making the labels easy to read based on personal preferences.
Use Cases:
Annotating Key Technical Zones: The indicator is perfect for annotating multiple technical zones or levels that require consistent attention. For example, traders can label areas like "Monthly FVG," "Daily Support," "Key Resistance," or even "Volume Spike," and color-code them accordingly for quick reference.
Drawing Clarity: A well-organized chart is essential for clear decision-making. This indicator enhances clarity by visually categorizing different chart features, making it easier to quickly interpret the chart without confusion. The customizable color squares ensure that users can quickly identify which technical element corresponds to which label on the chart.
Visual Aid for Strategy Execution: For traders using strategies involving multiple indicators, support and resistance lines, or patterns, this key helps keep track of all the elements, especially when several overlapping annotations might clutter the chart. It allows users to draw specific attention to key areas of interest and explain the rationale for each one.
Educational & Presentational Tool: If you're conducting trading education sessions or presentations, this indicator can serve as a powerful tool to explain concepts in real-time. You can present your chart with clearly marked zones or levels, where each color and label explains the reasoning behind your analysis. It’s a professional tool for walkthroughs or strategy breakdowns.
Benefits:
Enhanced Visual Organization: The color-coded squares and corresponding labels make it easier to maintain organization within a busy chart. Traders can distinguish between multiple chart elements at a glance, which enhances their focus on critical zones or setups.
Improved Decision-Making: By clearly labeling and color-coding areas of importance, traders can reduce the time it takes to assess the chart and make decisions, as the key provides a concise reference.
Customizable to Individual Needs: Traders can adapt the indicator to their specific trading style and chart elements, whether they're swing traders marking longer-term zones or day traders focusing on short-term levels.
Clarity on Complex Charts: For traders using charts with several indicators and drawings, the ability to clearly define what each color and label represents ensures that the chart remains understandable, even with multiple overlays.
Industry Group Strength - IndiaPresenting the Industry Group Strength Indicator for India market, designed to help traders identify top-performing stocks within specific industry groups that are predefined.
⦿ Identifies Leading Stocks in Industry Groups
⦿ Analyses the following metrics
YTD Return : Measures stock performance from the start of the year.
RS Rating : Relative Strength rating for user-selected periods.
% Return : Percentage return over a user-selected lookback period.
Features
This indicator dynamically recognises the industry group of the current stock on the chart and ranks stocks within that group based on predefined data points. Traders can add this indicator to focus on top-performing stocks relative to their industry.
⦿ Color-coded for Easy Visualisation
You can choose from the following key metrics to rank stocks:
YTD Return
RS Rating
% Return
⦿ Table Format with Performance Metrics Compact mode
Vertical View
Horizontal View
All of the three metrics are shown in the compact mode and the current stock that is viewed is highlighted!
Vertical view
Horizontal view
Stock Ranking
Stocks are ranked based on their performance within industry groups, enabling traders to easily spot leaders and laggards in each sector. Color-coded gradients visually represent the stocks’ performance rankings, with higher percentile rankings indicating better performance.
Relative Strength (RS)
Relative Strength (RS) compares a stock’s performance against the benchmark index. The RS value is normalized from 1 to 99, making it easier to compare across different stocks. A rising RS value indicates that the stock is outperforming the market, helping traders quickly gauge relative performance within industry groups.
Limitations
At the time of developing this indicator, Pine requests are limited to 40 per script so the predefined symbols had to be filtered to 40 per Industry group
Stocks Filters
Filters that are used to filter the stocks in an Industry group to have maximum of 40 stocks
⦿ Auto, Chemical, Engineering, Finance, Pharma
Market Cap >= 1000 Crores and Market Cap <= 60000 Crores
Price >= 30 and Price <= 6000
50 Days Average ( Price * Volume ) >= 6 Crores
⦿ For rest of the Industry groups
Market Cap >= 1000 Crores and Market Cap <= 100000 Crores
Price >= 20 and Price <= 10000
50 Days Average ( Price * Volume ) >= 3 Crores
Credits
This indicator is forked from the Script for US market by @Amphibiantrading Thanks Brandon for the beginning of this indicator.
This indicator is built on TradingView’s new dynamic requests feature, thanks to @PineCoders for making this possible!
Signals Pro [traderslog]The "Signals Pro" indicator is an advanced and versatile trading tool designed to help traders accurately identify key buy and sell signals using a combination of technical analysis factors such as candle patterns , RSI (Relative Strength Index) , and candle stability . It is highly customizable and offers a range of options that make it suitable for both short-term and long-term traders. By filtering market noise and providing actionable insights, this indicator enhances decision-making and helps traders capitalize on market movements.
At the core of the "Signals Pro" indicator is the concept of Candle Stability . The Candle Stability Index measures the ratio between a candle's body and its wicks, providing insight into the strength of the price movement during that period. A higher value indicates that the candle is more stable, meaning that the price has moved significantly without much retracement. This stability filter is crucial because it prevents the generation of signals during volatile or choppy market conditions where price direction is uncertain. Traders can adjust the Candle Stability Index from 0 to 1, allowing for precise control over how stable a candle must be for the indicator to generate a signal.
Another key feature is the use of RSI (Relative Strength Index) , a momentum oscillator that measures the speed and change of price movements. The RSI index parameter in the indicator can be customized to detect overbought or oversold conditions. When the RSI falls below the defined threshold, it signals that the market may be oversold , which can indicate a potential buying opportunity . Conversely, when the RSI exceeds a certain value, it suggests that the market is overbought , signaling a potential selling opportunity . This allows traders to time their trades more effectively by entering when market conditions are favorable and exiting before a potential reversal occurs.
The Candle Delta Length is another critical element of the "Signals Pro" indicator. This parameter measures how much the price has increased or decreased over a specific number of candles. By adjusting the Candle Delta Length , traders can define how many periods the indicator should analyze before generating a signal. A longer Candle Delta Length means the price has been trending in one direction for a longer period, providing more reliable signals. For instance, if the price has been steadily decreasing for five candles, this could signal a bullish reversal , triggering a buy signal .
To further enhance its accuracy, the "Signals Pro" indicator includes a unique feature that allows traders to disable repeating signals . This is particularly useful in situations where the market is moving sideways or during low volatility periods, where multiple signals may cluster close together, creating confusion. By enabling the disable repeating signals option, traders can prevent these repeated signals and focus on the most important and confirmed signals, ensuring cleaner charts and reducing the risk of overtrading.
A key technical aspect of the indicator is its ability to detect bullish and bearish engulfing patterns . The indicator looks for bullish engulfing patterns, which occur when a bullish candle fully engulfs the body of the previous bearish candle, signaling a potential bullish reversal . Conversely, bearish engulfing patterns occur when a bearish candle fully engulfs the previous bullish candle, indicating a bearish reversal . By incorporating these candle patterns with the Candle Stability Index and RSI levels , the indicator provides highly reliable signals based on price action and market sentiment.
Visual customization is another major advantage of the "Signals Pro" indicator. Traders can choose from several different label styles , such as text bubbles , triangles , or arrows to mark the buy and sell signals on the chart. This makes the signals stand out and easy to interpret at a glance. Furthermore, the color of these signals can be customized: green for buy signals and red for sell signals , along with options to adjust the text size and label styles for even more personalization. Traders can make the signals more or less prominent based on their preference, enhancing readability and workflow efficiency.
The indicator also includes a comprehensive alert system , ensuring traders never miss an opportunity. Alerts can be set for both buy and sell signals , and the system triggers in real-time when a valid signal is generated. This is especially useful for active traders who want to stay on top of the markets without constantly monitoring their screens. The alert system helps ensure that traders are notified of potential trading opportunities as soon as they arise, allowing them to act quickly in volatile markets.
From a practical standpoint, the "Signals Pro" indicator is designed to work seamlessly across multiple timeframes, making it suitable for scalpers, day traders, swing traders, and even long-term investors. Its flexibility allows it to adapt to different trading styles and time horizons, providing value for a wide range of market participants.
In summary, the Signals Pro indicator offers a robust and customizable solution for identifying buy and sell signals . By combining candle stability , RSI analysis , and engulfing patterns , the indicator provides traders with reliable signals to enter or exit trades. The ability to customize signal appearance, coupled with a real-time alert system , makes the "Signals Pro" indicator an invaluable tool for traders looking to improve their timing and decision-making. Whether you are looking to capture short-term price movements or want to time entries and exits in longer-term trends, this indicator offers the insights needed to navigate the markets with confidence.
Cumulative Volume Delta Strategy | Flux Charts💎 GENERAL OVERVIEW
Introducing the Cumulative Volume Delta Strategy (CVDS) Indicator, an advanced tool designed to enhance trading strategies by identifying potential trend reversals through volume dynamics. This script features integrated order block detection, Fair Value Gaps (FVGs), and a dynamic take-profit (TP) and stop-loss (SL) system. For an in-depth understanding of the strategy, refer to the "HOW DOES IT WORK?" section below.
Features of the new Cumulative Volume Delta Strategy (CVDS) Indicator :
Cumulative Volume Delta-based Strategy
Order Block and Fair Value Gap (FVG) Entry Methods
Dynamic TP/SL System
Customizable Risk Management Settings
Alerts for Buy, Sell, TP, and SL Signals
📌 HOW DOES IT WORK ?
The CVDS indicator operates by tracking the net volume difference between buyers and sellers to identify divergences that could indicate potential trend reversals. A cumulative volume delta (CVD) calculation is employed to measure the intensity of these divergences in relation to price movements. The net volume sum is reset every trading day (can be changed from the settings using the anchor period option), and divergences are detected when the cumulative volume crosses the 0-line over or under.
Once a significant divergence is detected, the indicator identifies breakout points, confirmed by either Fair Value Gaps (FVGs) or Order Blocks (OBs). Depending on your chosen entry mode, the indicator will trigger a buy or sell entry when the confirmation signal aligns with the breakout direction. Alerts for Buy, Sell, Take-Profit, and Stop-Loss are available.
Note that the indicator cannot run on 1-minute and 1-second charts, as it needs to get data from a lower timeframe. 1-minutes & 1-second timeframes are the minimum timeframes in their ranges respectively.
🚩 UNIQUENESS
What sets this indicator apart is the combination of volume divergence analysis with advanced price action tools like Fair Value Gaps (FVGs) and Order Blocks (OBs). The ability to choose between these methods, along with a dynamic TP/SL system that adapts based on volatility, provides flexibility for traders in any market condition. The backtesting dashboard provides metrics about the performance of the indicator. You can use it to tune the settings for best use in the current ticker. The CVD-based strategy ensures that trades are initiated only when meaningful divergences between volume and price occur, filtering out noise and increasing the likelihood of profitable trades.
⚙️ SETTINGS
1. General Configuration
Anchor Period: Time anchor period used in CVD calculation. This is essentially the period that the volume delta sum will be reset. Lower timeframes may result in more entries at the cost of less reliable results.
Entry Mode: Choose between FVGs or OBs to trigger your entries based on the confirmation signals.
Retracement Requirement: Enable to confirm the entry after a retracement toward the FVG or OB.
2. Fair Value Gaps
FVG Sensitivity: Modify the sensitivity of FVG detection, allowing for more or fewer gaps to be considered valid.
3. Order Blocks (OB)
Swing Length: Define the swing length to identify OB formations. Shorter lengths find smaller OBs, while longer lengths detect larger structures.
4. TP / SL
TP / SL Method:
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk: The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
Macro Timeframes with Opening PriceDescription: Macro Timeframe Horizontal Line Indicator
This indicator highlights macro periods on the chart by drawing a horizontal line at the opening price of each macro period. The macro timeframe is defined as the last 10 minutes of an hour (from :50 to :00) and the first 10 minutes of the following hour (from :00 to :10).
A horizontal black line is plotted at the opening price of the macro period, starting at :50 and extending through the duration of the macro window. However, you can customize it however you see fit.
The background of the macro period is highlighted with a customizable color to visually distinguish the timeframe.
The horizontal line updates at each macro period, ensuring that the opening price for every macro session is accurately reflected on the chart.
This tool is useful for traders who want to track the behavior of price within key macro intervals and visually assess price movement and volatility during these periods.
TrendWave EMA/VWAP IndicatorThe TrendWave EMA/VWAP Indicator is a powerful technical analysis tool designed for traders seeking to enhance their market strategies. By combining the dynamic Exponential Moving Average (EMA) and the Volume Weighted Average Price (VWAP), this indicator provides valuable insights into price trends and potential trading signals, allowing for informed decision-making in various market conditions.
Key Features:
Exponential Moving Average (EMA):
The EMA component helps traders identify the direction of the prevailing trend by giving more weight to recent price action. This responsiveness makes the EMA an essential tool for trend-following strategies.
Customizable Length: Users can adjust the EMA length (default set to 50 periods) to align with their specific trading style and preferences.
Volume Weighted Average Price (VWAP):
The VWAP is crucial for evaluating the average price of a security throughout the trading day, factoring in volume. It serves as a benchmark for price action and can help traders identify significant support and resistance levels.
Real-time Benchmarking: The VWAP enables traders to assess current prices against historical averages, improving their entry and exit strategies.
Signal Generation:
The TrendWave EMA/VWAP Indicator generates clear buy and sell signals based on the interaction between the price and the VWAP:
Bullish Signal: Triggered when the price crosses above the VWAP, indicating a potential upward movement.
Bearish Signal: Triggered when the price crosses below the VWAP, suggesting a potential downward movement.
These signals are visually represented with intuitive arrows on the chart, facilitating quick recognition of trading opportunities.
User-Friendly Interface:
The indicator allows traders to enable or disable components (EMA and VWAP) based on their preferences, ensuring a personalized trading experience.
Clear color coding enhances visual clarity: the EMA is displayed in blue, while the VWAP is shown in orange.
Use Cases:
Trend Following: Use the EMA to confirm the direction of the trend and make trades that align with that trend.
Price Action Analysis: Employ the VWAP to determine the average trading price and identify key support/resistance levels.
Signal Confirmation: Combine signals from both the EMA and VWAP to enhance trading strategies and decision-making.
The TrendWave EMA/VWAP Indicator is an essential addition to any trader's toolkit. By leveraging the strengths of both the EMA and VWAP, this indicator empowers traders to make informed, data-driven decisions and capitalize on market movements with confidence.
Super Scalping SystemChart/Grafik: XU100.USD
Time/Zaman: 15 Minute/15 Dakika
English Explanation (Türkçe açıklaması aşağıda)
Overview:
The "Super Scalping System" is a lightweight trend-following indicator designed to assist traders in detecting short-term trend reversals and market conditions. The indicator draws a dynamic trendline and changes the color of the candlesticks according to the calculated trend. It is built to enhance quick decision-making for scalpers operating on low timeframes.
Key Features:
Instantaneous Trendline Calculation
The trendline is calculated using a weighted average of the last four bars, giving more importance to the most recent bar. This smoothens the trend and helps scalpers identify trend changes quickly.
Candle Coloring
The indicator colors the bars green or red based on whether the trendline is above or below the zero line.
Zero Line Reference
A zero line is included as a visual reference, indicating when the trendline crosses into positive or negative territory.
Indicator Settings
The indicator will be displayed directly on the main price chart.
Alarm Setup on Zero Line Crossings
Users can set an alarm when the trendline crosses the zero line to receive notifications for potential trend changes.
*/-/-/* Moving the Indicator to a New Pane */-/-/*
To move the indicator to a separate panel, click on the three dots next to the indicator name at the top left of the screen. Then, select “Move to” and click “New Pane Below” from the dropdown menu. This step is crucial for better chart management and visibility.
User Input (Length):
A Length input is provided, where the minimum allowed value is 4 bars to ensure meaningful calculations.
Price Calculation (OHLC4):
The average price, known as OHLC4, is used to smooth out volatility by averaging the open, high, low, and close prices.
Super Scalping System Calculation:
The trendline dynamically adjusts based on recent price movements, giving greater emphasis to the latest data to reflect market conditions accurately. A sophisticated smoothing technique is applied to filter out noise and enhance trend detection. This process ensures a responsive trendline that helps traders quickly identify potential market shifts. The final value is derived from a proprietary formula optimized for short-term scalping strategies.
Plotting the Trendline:
The trendline is plotted. If the value is above the zero line, it appears green; otherwise, it turns red.
Candle Coloring:
The candles are colored green during an uptrend and red during a downtrend to provide visual clarity to users.
Zero Line Plot:
A white zero line is plotted for reference to easily identify the trendline's position.
How to Use the Indicator:
Uptrend Signal:
When the trendline crosses above the zero line and turns green, it indicates a potential upward trend. Traders may consider buying in this scenario.
Downtrend Signal:
When the trendline crosses below the zero line and turns red, it indicates a potential downward trend. Traders may consider selling in this case.
Scalping Strategy Tips:
Best suited for low-timeframe charts (1-minute or 5-minute).
Use in conjunction with other indicators (like RSI or MACD) for better accuracy.
Be cautious in choppy markets, as scalping involves quick trend reversals.
Important Disclaimer:
No indicator, algorithm, or strategy can predict the markets with 100% accuracy. This tool is designed to help make informed decisions but should not be used as the sole basis for trading. Always consider using additional analysis and risk management strategies. Blind reliance on any tool can lead to significant financial losses.
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Türkçe Açıklama
Genel Bakış:
"Super Scalping System", kısa vadeli trend dönüşlerini ve piyasa koşullarını tespit etmek için tasarlanmış hafif bir trend takip göstergesidir. Gösterge, dinamik bir trend çizgisi çizer ve mumları hesaplanan trende göre renklendirir. Özellikle düşük zaman dilimlerinde işlem yapan scalping yatırımcılarının hızlı karar vermesine yardımcı olmak için geliştirilmiştir.
Temel Özellikler:
Anlık Trend Çizgisi Hesaplaması
Trend çizgisi, son dört mumun ağırlıklı ortalaması kullanılarak hesaplanır. Son mumlara daha fazla önem verilerek trendin daha yumuşak görünmesi sağlanır.
Mumların Renklendirilmesi
Gösterge, mumları trend çizgisinin sıfır çizgisinin üstünde veya altında olmasına göre yeşil veya kırmızıya boyar.
Sıfır Çizgisi Referansı
Trend çizgisinin pozitif veya negatif bölgeye geçtiğini görsel olarak anlamak için bir sıfır çizgisi eklenmiştir.
Gösterge Ayarları:
Gösterge ana fiyat grafiği üzerine eklenir.
Sıfır Çizgisi Kesişmelerine Alarm Kurulumu:
Trend çizgisi sıfır çizgisini kestiğinde alarm kurarak olası trend değişimlerinden haberdar olabilirsiniz.
*/-/-/* Göstergeyi Yeni Bir Panoya Taşımak */-/-/*
Göstergeyi ayrı bir panele taşımak için, ekranın sol üst köşesindeki gösterge adının yanında bulunan üç noktaya tıklayın. Ardından, “Taşı” seçeneğine tıklayıp açılan menüden “Aşağıda Yeni Pano” seçeneğini seçin. Bu adım, grafik yönetimini ve görünürlüğü iyileştirmek için oldukça önemlidir.
Kullanıcı Girdisi (Length):
Length girdisi, en az 4 mum olacak şekilde ayarlanmıştır.
Fiyat Hesaplama (OHLC4):
Açılış, en yüksek, en düşük ve kapanış fiyatlarının ortalaması alınarak volatilite azaltılır.
Super Scalping System Hesaplaması:
Trend çizgisi, son fiyat hareketlerine dayalı olarak dinamik şekilde ayarlanır ve piyasa koşullarını doğru yansıtmak için en güncel verilere daha fazla ağırlık verir. Gürültüyü filtrelemek ve trend tespitini iyileştirmek için gelişmiş bir düzeltme tekniği uygulanır. Bu süreç, hızlı piyasa değişimlerini yakalamaya yönelik duyarlı bir trend çizgisi sağlar. Son değer, kısa vadeli scalping stratejileri için optimize edilmiş özel bir formülden elde edilir.
Trend Çizgisinin Çizimi:
Trend çizgisi sıfır çizgisinin üstündeyse yeşil, altındaysa kırmızı olarak çizilir.
Mum Renklendirmesi:
Yukarı trendde mumlar yeşil, aşağı trendde kırmızı renkte gösterilir.
Sıfır Çizgisi:
Sıfır çizgisi, trend çizgisinin pozisyonunu görmek için beyaz renkte çizilir.
Gösterge Nasıl Kullanılır:
Yükseliş Trendi Sinyali:
Trend çizgisi sıfır çizgisinin üzerine çıkıp yeşile döndüğünde, olası bir yükseliş trendi sinyali verir. Bu durumda alış yapmayı düşünebilirsiniz.
Düşüş Trendi Sinyali:
Trend çizgisi sıfır çizgisinin altına indiğinde ve kırmızıya döndüğünde, olası bir düşüş trendi sinyali verir. Bu durumda satış yapabilirsiniz.
Scalping Stratejisi İpuçları:
1 veya 5 dakikalık grafiklerde daha etkilidir.
Daha yüksek doğruluk için RSI veya MACD gibi diğer göstergelerle kullanın.
Dalgalı piyasalarda dikkatli olun, scalping hızlı trend dönüşleri gerektirir.
Önemli Uyarı:
Hiçbir gösterge, algoritma veya strateji piyasaları %100 doğrulukla tahmin edemez. Bu araç, bilinçli kararlar vermenize yardımcı olmak için tasarlanmıştır, ancak yalnızca ticaret için tek temel olarak kullanılmamalıdır. Daima ek analizler ve risk yönetimi stratejileri kullanmayı düşünün. Herhangi bir araca körü körüne bağlı kalmak, önemli finansal kayıplara yol açabilir.
Velocity/Volatility/Volume StrategyThe "Vel/Vty/Vol Strategy" is a momentum-based trading approach designed to take advantage of strong price movements that are confirmed by both volatility and volume (if enabled). It provides a high level of customization, allowing traders to adjust various settings based on market conditions and individual preferences. By combining three critical indicators—velocity, volatility (measured through Bollinger Band Width), and an optional volume filter—the strategy generates trade signals for both long and short positions. Here’s a comprehensive explanation of how the strategy works, how the parameters can be customized, and how those adjustments benefit users.
At its core, the strategy focuses on velocity, which measures the speed at which price is changing over time. This is a key indicator of momentum, with a "StrongUp" signal indicating bullish momentum and a "StrongDown" signal suggesting bearish momentum. In addition to velocity, the strategy factors in acceleration, which helps gauge whether momentum is building or weakening. The second essential component is Bollinger Band Width (BBW), which measures volatility in the market. When the BBW expands, it signals increasing volatility, a condition that must be met in combination with a velocity signal to generate a trade. Lastly, the strategy includes an optional Volume Oscillator to filter trades. When this volume filter is enabled, trades will only be executed if there’s an increase in volume, further validating market activity.
The strategy generates long and short trade signals based on specific conditions. A long trade is triggered when there is a strong upward velocity, accompanied by an increase in Bollinger Band Width, indicating both momentum and heightened volatility. If the volume filter is toggled on, a rise in volume must also confirm the signal. Similarly, a short trade is initiated when a strong downward velocity is detected, again paired with an increase in volatility and, optionally, a volume rise. This ensures that trades occur during periods of heightened market activity, reducing the likelihood of false signals.
To help manage risk, the strategy includes several customizable tools. Users can set take profit levels to automatically close positions and lock in gains once a predefined profit percentage is reached. For example, if a 2% take profit is set, a long position will be closed once the price has risen by 2%. Additionally, a trailing take profit option can be enabled, allowing the strategy to dynamically adjust the take-profit target as the market moves in the user’s favor. This ensures that profits are locked in as long as the market continues to trend positively, while providing protection in case of a reversal. The strategy also includes a trailing stop-loss feature, which adjusts the stop price as the market moves in favor of the trade, helping to minimize losses and protect gains.
The strategy offers a variety of parameters that can be customized to suit different trading styles and market conditions. The velocity lookback period controls how far back the strategy looks to calculate velocity. A shorter lookback makes the strategy more sensitive to recent price changes, generating more signals, which can benefit day traders or those seeking to capture short-term price swings. Conversely, a longer lookback smooths out the velocity calculation, reducing false signals and making the strategy more suitable for traders seeking to capture larger trends. Similarly, the Bollinger Band Width (BBW) length can be adjusted to control how far back the strategy looks to calculate volatility. A shorter BBW length makes the strategy more sensitive to volatility spikes, useful in rapidly changing markets. In contrast, a longer BBW length filters out short-term noise and focuses on more sustainable volatility shifts, better suited for slower, more stable markets.
The volume filter is another powerful feature that can be toggled on or off. When turned on, the strategy will only execute trades if there is an increase in volume alongside velocity and volatility signals. This helps filter out false signals in low-volume markets, ensuring that price movements are supported by actual market activity. If the volume filter is turned off, the strategy focuses purely on price and volatility changes, which can be useful in markets where volume data is unreliable or less relevant.
The take profit percentage can be adjusted to define how aggressively or conservatively profits are locked in. A lower take profit percentage allows traders to capture smaller, quicker profits, which can be advantageous in volatile markets. A higher take profit percentage suits traders who prefer to capture larger moves, allowing them to stay in trades longer to benefit from extended trends. Similarly, the trailing take profit percentage determines how tightly the strategy follows market prices as they move in favor of the trade. A tighter trailing percentage ensures that profits are locked in quickly, while a wider trailing percentage gives trades more room to run, ideal for capturing large trends.
The stop loss percentage is another key setting that controls how much risk a trader is willing to take before the position is closed. A tighter stop loss minimizes losses but may result in more frequent stop-outs, particularly in volatile markets. A wider stop loss provides more room for trades to develop, which is useful for traders aiming to capture longer trends despite short-term fluctuations. Additionally, the velocity thresholds can be adjusted to set how sensitive the strategy is to price movements. Lower thresholds increase sensitivity, generating more signals in fast-moving markets, while higher thresholds filter out weaker signals, focusing on larger momentum shifts.
The strategy also allows users to define a time range during which it is active, offering flexibility in backtesting and optimizing for specific market conditions. By limiting the strategy to certain periods, users can tailor it to seasonal trends or historical data that matches their current trading environment.
The flexibility of this strategy makes it suitable for a wide range of traders. Day traders can benefit from adjusting the velocity and BBW lookback periods, tightening take profit and stop loss settings to capture short, fast price movements in highly volatile markets. Trend traders can lengthen the lookback periods and widen the velocity thresholds to capture larger, sustained moves while riding out short-term volatility. Traders with a lower risk tolerance can enable the volume filter and tighten stop losses to reduce false signals and minimize losses. On the other hand, aggressive traders can widen the take profit and trailing stop percentages to allow trades to develop fully, maximizing potential gains in trending markets.
Order Flow / Delta Volume IndicatorOrder Flow / Delta Volume Indicator
The Order Flow / Delta Volume Indicator is designed to give traders a comprehensive view of market activity by combining delta volume analysis, order flow imbalances, and momentum filters. This indicator is not just a mashup of components, but a carefully crafted tool that enhances decision-making by integrating various layers of market analysis into one powerful system.
How the Components Work Together:
1. Delta Volume Bars: The core of this indicator, delta volume shows the difference between buy and sell orders, allowing traders to see real-time shifts in market sentiment. Green bars indicate buy-side pressure, while red bars show sell-side dominance. By visualizing this in bar form, traders can easily spot significant shifts in order flow that could signal trend changes or momentum shifts.
2. Cumulative Delta Line (Rescaled): The cumulative delta is rescaled to plot under the price candles, giving traders a clear, contextualized view of how net buyer or seller dominance is developing over time. This line helps identify potential market reversals when price moves diverge from cumulative delta trends.
3. Order Flow Imbalance Detection: Imbalances in buy and sell volumes are automatically detected using a threshold, ensuring that traders are alerted to significant market moves. These imbalances provide insight into aggressive buying or selling behavior, which is crucial for identifying points of high trading activity or potential breakout/reversal zones.
4. VWAP Filter: Volume Weighted Average Price (VWAP) is included as a filter to confirm trend direction. The VWAP ensures that buy signals are only triggered when price action is above the VWAP (indicating strength), and sell signals are triggered when price is below the VWAP (indicating weakness). This ensures that signals are not just based on volume, but also on where price is relative to a critical benchmark.
5. RSI Filter: The inclusion of the Relative Strength Index (RSI) adds a momentum check to the signals. By using RSI, traders can avoid taking trades during low-momentum periods, ensuring they only act when market conditions favor a stronger move.
6. Signal Cooldown Feature: To avoid clutter and noise from frequent signals, this indicator includes a cooldown period between signals, ensuring that traders don’t receive excessive alerts in a short timeframe. This feature prevents overtrading and helps focus on high-quality signals.
Why This Combination is Useful:
• Comprehensive Market Insight: By combining delta volume analysis with order flow imbalance detection, this indicator provides a deep understanding of market sentiment, showing not only price movement but the underlying volume dynamics driving those moves.
• Signal Accuracy: The VWAP and RSI filters ensure that signals are only generated in strong market conditions, filtering out weak or false signals that often occur in choppy markets.
• Divergence Detection: The cumulative delta line provides traders with a tool for spotting divergences between price action and underlying volume, allowing for earlier detection of potential reversals.
This indicator is more than a simple combination of existing tools—it’s a strategic fusion of volume analysis, order flow, and momentum filters designed to provide traders with a clearer view of market activity and to generate more reliable buy/sell signals.
This description explains how the components work together and highlights the indicator’s usefulness, which should address TradingView’s concerns about originality and purpose.
DMR By ANTExplanation of the DMR by ANT Script
a. What is This Script and How Is It Useful?
This Pine Script, named "DMR by ANT, " is designed for use on TradingView, focusing on dynamically assessing market conditions. It calculates key levels, specifically the high and low of the previous two days, to establish trading zones that assist traders in making informed decisions.
The script highlights:
Previous Day's High and Low : It captures the high and low prices from the previous two days to help set up trading ranges.
First 15 Minutes Candles High and low is marked with Orange Lines .
Trade Zones : It identifies whether the current price is in a 'tradeable' zone or 'non-tradeable' zone. The zones are determined based on the relationship between the current price, today's open price, and the calculated high and low levels.
Targets and Stop Losses : The script dynamically provides target and stop-loss levels based on user-defined input points, which can help manage risk effectively.
This script is beneficial for traders looking to enter (or avoid) trades based on defined price action criteria and can effectively streamline the analysis process in fast-moving markets.
Customize Input Parameters:(settings)
Adjust the ATR, based on ATR target and stop-loss is calculated and displayed. The default values 7(rest see the help), Dynamics changes based on ATR values changes in real time.
b. How to Effectively Use This Script
The DMR script can be utilized across various trading instruments, including:
Indexes: Suitable for gauging market sentiment and overall trends; can assist in short-term trading strategies.
Options: Helps determine the likely movement of the underlying assets, providing insight into probable volatility and directional bias.
ETFs (Exchange-Traded Funds): Useful for trading diversified portfolios; traders can define entry and exit points relevant to the basket of stocks.
Stocks: Ideal for individual stock trading, as traders can analyze stock movements concerning broader market trends.
When utilizing this script, traders should:
Identify key trading levels before entering trades based on the calculated high and low ranges.
Use the dynamic targets and stop-loss levels to protect capital and maximize potential gains.
Continuously monitor the script's signals and adapt to ongoing market changes.
c. Best Time Frames for Different Instruments
The optimal time frames for using the DMR script can vary based on the trading instrument.
Here’s a summary in tabular format for clearer guidance:
Instrument Best Time Frames
Index 5-minute, 15-minute, 1-hour
Options 1-minute, 5-minute, 15-minute
ETF 5-minute, 15-minute, 1-hour
Stocks 5-minute, 15-minute, 1-hour, Daily
Indexes: Shorter time frames (5 to 15 minutes) can capture quick market movements, while 1-hour frames can provide a broader market overview.
Options Trading: Given the time sensitivity of options, using very short time frames (1-5 minutes) can be effective to seize rapid price movements before expiry.
ETFs: Similar to indices, shorter frames help in effectively tracking movements of the underlying assets.
Stocks: A mix of short (5-15 minutes) for day trading and daily charts for swing trading can provide balanced insights.
Conclusion
Utilizing the DMR by ANT script can greatly enhance a trader's ability to analyze market conditions, identify opportunities, and manage risk effectively. By adapting the script through the different listed recommendations, traders can maximize their trading strategy’s effectiveness across various instruments.
Do comment below for further improvement.
Aroon Oscillator [BigBeluga]Aroon Oscillator with Mean Reversion & Trend Signals is a versatile tool that helps traders identify both trend direction and potential mean reversion points. The core Aroon Oscillator tracks the strength of a trend by measuring how long it has been since a high or low price occurred within a specified period. This oscillator provides trend-following signals (LONG/SHORT) along with mean reversion signals, giving traders both the ability to ride trends and anticipate reversals.
The unique feature of this indicator is the Mean Reversion Signals, marked with dots on the main chart, indicating potential points where the trend might reverse or retrace. In addition, trend-following signals (LONG and SHORT) are plotted directly on the chart, providing clear entry and exit points when a trend is beginning or ending.
🔵 IDEA
The Aroon Oscillator with Mean Reversion indicator provides a combined approach of trend analysis and mean reversion. The core idea is to track the health and momentum of trends, while also identifying when those trends might reverse or slow down. This dual approach allows traders to both follow the prevailing market direction and also capture mean reversion opportunities.
The oscillator is smoothed with John Ehlers' Zero Lag function , which helps reduce noise and improves signal clarity by removing lag without sacrificing the indicator's responsiveness.
The indicator uses color-coded signals and an easy-to-read oscillator to visually represent different types of signals on the chart. This makes it easy for traders to spot important changes in market trends and take action based on both the trend-following and mean reversion aspects of the indicator.
🔵 KEY FEATURES & USAGE
Trend Following Signals (LONG/SHORT):
In addition to mean reversion signals, the indicator also provides clear trend-following signals. LONG signals (green arrows) are plotted when the oscillator crosses above zero, indicating a potential uptrend. Conversely, SHORT signals (blue arrows) are plotted when the oscillator crosses below zero, signaling a potential downtrend.
Mean Reversion Signals:
This indicator features unique mean reversion signals, represented by dots on the main chart. These signals occur when the oscillator crosses over or under a smoother signal line, indicating that the current trend might be losing strength and a reversal or retracement is possible. Green dots represent a possible upward reversion, while blue dots signal a potential downward reversion.
Color-Coded Signals and Oscillator:
The Aroon Oscillator is color-coded to make it visually easier for traders to differentiate between trends and mean reversion signals. When the oscillator is above zero, the area is filled with green, and when it is below zero, the area is filled with blue. This visual representation helps traders quickly identify the current market condition at a glance.
🔵 CUSTOMIZATION
Aroon Length & Smoothing: Control the sensitivity of the Aroon Oscillator by adjusting the lookback period and smoothing settings, allowing traders to fine-tune the indicator to match different market conditions.
Mean Reversion Signals: Enable or disable mean reversion signals based on your trading preferences. Adjust the signal line length to control when these reversal signals are triggered.
Color Customization: Customize the colors for the oscillator and signals to match your chart’s color scheme for better visual clarity.
ICT Professional Accumulation DistributionICT Professional Accumulation Distribution (ICT AD) provides a x-ray view into market accumulation and distribution. You can literally see the institutions at work.
The indicator consists of two cumulative lines derived from:
Cumulative change from open to close
Cumulative change from previous close to new open
By overlaying these two cumulative lines, you can detect real meaningful divergence that is narrative based not mathematically derived. You're seeing the real works of algorithms in play working in this area.
These divergences are only useful at extremes (topping or bottoming formations), not while trending. It will probably confirm your suspicion about making a important high or low.
This works on all timeframes but is most impactful on the daily.
How to use:
Method 1:
Enable the option for "Show Open vs Close."
Calculate the shift by subtracting the "Open vs Close" line value from the ICT Accumulation/Distribution (AD) line value.
Look for divergences between the two cumulative lines.
Method 2:
Switch the chart's display mode to "Line View" (representing the Open vs Close).
look for divergences between the line chart and the ICT AD line.
Three-Bar Reversal SignalThis indicator is a simple setup of Three Bar Reversal. Logic of the code is as below.
Rules :
Long Setup
Bar 1 closes down
Low of Bar 2 is below the low of Bar 1 (and Bar 3)
Bar 3 closes above the high of both Bar 1 and Bar 2
Buy at the close of Bar 3
Short Setup
Bar 1 closes up
High of Bar 2 is above the high of Bar 1 (and Bar 3)
Bar 3 closes below the low of both Bar 1 and Bar 2
Sell at the close of Bar 3
Dynamic Range EvaluatorThe Dynamic Range Evaluator script or indicator analyzes the dynamic movement of price ranges in the market, offering several key advantages:
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1. Identifies Market Volatility
It detects when price ranges expand or contract, helping traders gauge the market's current volatility—whether it is highly volatile (wide range) or calm (narrow range).
2. Adapts Strategies Based on Market Conditions
The script allows traders to implement suitable strategies:
Use Breakout strategies when the range expands.
Use Mean Reversion strategies when the price moves within a tight range.
3. Accurate Entry and Exit Points
By identifying dynamic price zones, it helps spot potential reversals or areas near key support/resistance levels, reducing the risk of poor entry decisions in unclear market phases.
4. Versatile Across Market Phases
Whether in a bullish, bearish, or sideways market, the Dynamic Range Evaluator adjusts smoothly to shifting conditions, minimizing the need for frequent modifications.
5. Effective Across Multiple Time Frames
It works well on both lower and higher time frames. For instance:
On lower time frames, it helps identify short-term trade entries/exits.
On higher time frames, it assists with analyzing broader trends.
6. Customizable Dynamic Parameters
Traders can modify range thresholds or evaluation criteria to suit specific asset classes or currency pairs, providing flexibility and improved accuracy.
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Use Cases
Combine with ATR (Average True Range) to identify optimal average ranges.
Align Take Profit / Stop Loss levels with current market ranges.
Integrate with Breakout Strategies by monitoring for range expansion and waiting for key support/resistance breakouts.
Dynamic Score PSAR [QuantAlgo]Dynamic Score PSAR 📈🧬
The Dynamic Score PSAR by QuantAlgo introduces an innovative approach to trend detection by utilizing a dynamic trend scoring technique in combination with the Parabolic SAR. This method goes beyond traditional trend-following indicators by evaluating market momentum through a scoring system that analyzes price behavior over a customizable window. By dynamically adjusting to evolving market conditions, this indicator provides clearer, more adaptive trend signals that help traders and investors anticipate market reversals and capitalize on momentum shifts with greater precision.
💫 Conceptual Foundation and Innovation
At the core of the Dynamic Score PSAR is the dynamic trend score system, which assesses price movements by comparing normalized PSAR values across a range of historical data points. This dynamic trend scoring technique offers a unique, probabilistic approach to trend analysis by evaluating how the current market compares to past price movements. Unlike traditional PSAR indicators that rely on static parameters, this scoring mechanism allows the indicator to adjust in real time to market fluctuations, offering traders and investors a more responsive and insightful view of trends. This innovation makes the Dynamic Score PSAR particularly effective in detecting shifts in momentum and potential reversals, even in volatile or complex market environments.
✨ Technical Composition and Calculation
The Dynamic Score PSAR is composed of several advanced components designed to provide a higher probability of detecting accurate trend shifts. The key innovation lies in the dynamic trend scoring technique, which iterates over historical PSAR values and evaluates price momentum through a dynamic scoring system. By comparing the current normalized PSAR value with previous data points over a user-defined window, the system generates a score that reflects the strength and direction of the trend. This allows for a more refined and responsive detection of trends compared to static, traditional indicators.
To enhance clarity, the PSAR values are normalized against an Exponential Moving Average (EMA), providing a standardized framework for comparison. This normalization ensures that the indicator adapts dynamically to market conditions, making it more effective in volatile markets. The smoothing process reduces noise, helping traders and investors focus on significant trend signals.
Additionally, users can adjust the length of the data window and the sensitivity thresholds for detecting uptrends and downtrends, providing flexibility for different trading and investing environments.
📈 Features and Practical Applications
Customizable Window Length: Adjust the window length to control the indicator’s sensitivity to recent price movements. This provides flexibility for short-term or long-term trend analysis.
Uptrend/Downtrend Thresholds: Set customizable thresholds for identifying uptrends and downtrends. These thresholds define when trend signals are triggered, offering adaptability to different market conditions.
Bar Coloring and Gradient Visualization: Visual cues, including color-coded bars and gradient fills, make it easier to interpret market trends and identify key moments for potential trend reversals.
Momentum Confirmation: The dynamic trend scoring system evaluates price action over time, providing a probabilistic measure of market momentum to confirm the strength and direction of a trend.
⚡️ How to Use
✅ Add the Indicator: Add the Dynamic Score PSAR to your favourites, then to your chart and adjust the PSAR settings, window length, and trend thresholds to match your preferences. Customize the sensitivity to price movements by tweaking the window length and thresholds for different market conditions.
👀 Monitor Trend Shifts: Watch for trend changes as the normalized PSAR values cross key thresholds, and use the dynamic score to confirm the strength and direction of trends. Bar coloring and background fills visually highlight key moments for trend shifts, making it easier to spot reversals.
🔔 Set Alerts: Configure alerts for significant trend crossovers and reversals, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts.
🌟 Summary and Usage Tips
The Dynamic Score PSAR by QuantAlgo is a powerful tool that combines traditional trend-following techniques with the flexibility of a dynamic trend scoring system. This innovative approach provides clearer, more adaptive trend signals, reducing the risk of false entries and exits while helping traders and investors capture significant market moves. The ability to adjust the indicator’s sensitivity and thresholds makes it versatile across different trading and investing environments, whether you’re focused on short-term pivots or long-term trend reversals. To maximize its effectiveness, fine-tune the sensitivity settings based on current market conditions and use the visual cues to confirm trend shifts.
Multi-Timeframe SMA Plot**Introducing the Multi-Timeframe SMA Plot**
This script is designed to help traders easily visualize multiple Simple Moving Averages (SMAs) across different timeframes, all on a single chart. The Multi-Timeframe SMA Plot allows you to configure up to three different SMAs with customizable lengths, timeframes, colors, line styles, and line thicknesses, providing a versatile tool to analyze market trends in various granularities.
**Key Features**:
1. **Multiple SMA Timeframes**: You can plot SMAs from different timeframes like 15 minutes, 1 hour, daily, weekly, and more, enabling a comprehensive perspective of market movements.
2. **Fully Customizable**: Each SMA comes with options to adjust the length, timeframe, color, line style (solid, dashed, or dotted), and thickness, giving you control over how you visualize trend data.
3. **User-Friendly Inputs**: The script provides intuitive input fields that make it easy to adjust the settings without diving into the code, making it suitable for both beginner and advanced traders.
**How to Use**:
- Select the desired length and timeframe for each SMA (e.g., 50-period SMA on a 1-hour chart).
- Customize the line style and color to match your chart's theme or make distinctions between each SMA.
- Analyze how different SMAs align or cross over time to identify potential support, resistance, or trend changes.
The Multi-Timeframe SMA Plot is ideal for traders who rely on moving averages to gauge trend strength, direction, and potential entry or exit points. By having multiple SMAs from different timeframes on one chart, you can better understand the overall market sentiment and make more informed decisions.
Give this script a try and streamline your technical analysis with clear, customizable SMA lines!
**Code**: Check out the full script and start customizing it to fit your trading style. Your feedback is always welcome!
Altcoins vs BTC Market Cap HeatmapAltcoins vs BTC Market Cap Heatmap
"Ground control to major Tom" 🌙 👨🚀 🚀
This indicator provides a visual heatmap for tracking the relationship between the market cap of altcoins (TOTAL3) and Bitcoin (BTC). The primary goal is to identify potential market cycle tops and bottoms by analyzing how the TOTAL3 market cap (all cryptocurrencies excluding Bitcoin and Ethereum) compares to Bitcoin’s market cap.
Key Features:
• Market Cap Ratio: Plots the ratio of TOTAL3 to BTC market caps to give a clear visual representation of altcoin strength versus Bitcoin.
• Heatmap: Colors the background red when altcoins are overheating (TOTAL3 market cap equals or exceeds BTC) and blue when altcoins are cooling (TOTAL3 market cap is half or less than BTC).
• Threshold Levels: Includes horizontal lines at 1 (Overheated), 0.75 (Median), and 0.5 (Cooling) for easy reference.
• Alerts: Set alert conditions for when the ratio crosses key levels (1.0, 0.75, and 0.5), enabling timely notifications for potential market shifts.
How It Works:
• Overheated (Ratio ≥ 1): Indicates that the altcoin market cap is on par or larger than Bitcoin's, which could signal a top in the cycle.
• Cooling (Ratio < 0.5): Suggests that the altcoin market cap is half or less than Bitcoin's, potentially signaling a market bottom or cooling phase.
• Median (Ratio ≈ 0.75): A midpoint that provides insight into the market's neutral zone.
Use this tool to monitor market extremes and adjust your strategy accordingly when the altcoin market enters overheated or cooling phases.
Futures Globex Session(s)This indicator draws a box around the Globex Session for the various Futures markets. The box height defines the highs and lows of that session, and the width defines the timeframe of that session. The boxes are outlined green if price rose during that period, and red if price fell during that period. The default Globex Session is set for the Equity Index Futures and is set in the UTC-4 time zone (Eastern Time). In the settings you can adjust the session time and time zone of your Globex Session to reflect the trading times of that market. Below are the session times for various Futures markets set in time zone UTC-4.
Equity Indexes: 18:00 - 9:30
(ES, NQ, YM, RTY)
Treasuries: 18:00 - 8:20
(ZN, ZB)
Metals: 18:00 - 8:20
(GC)
Energies: 18:00 - 9:00
(CL, NG)
Agricultures: 20:00 - 9:30
(ZS, ZW)
Standard Deviation OscillatorStandard Deviation Oscillator (STDEV OSC) v1.1
Description
The Standard Deviation Oscillator transforms traditional volatility measurements into a dynamic oscillator that fluctuates between 0 and 100. This advanced technical analysis tool helps traders identify periods of extreme volatility and potential market turning points.
Features
Normalized volatility readings (0-100 scale)
Dynamic color changes based on volatility levels
Customizable overbought/oversold thresholds
Built-in alert conditions
Adaptive calculation using rolling windows
Clean, professional visualization
Indicator Parameters
Length: 20; Calculation period for standard deviation
Source: close; Price source for calculations
Overbought Level: 70; Upper threshold for high volatility
Oversold Level: 30; Lower threshold for low volatility
Visual Components
- Main Oscillator Line: Changes color based on current level
- Red: Above overbought level
- Green: Below oversold level
- Blue: Normal range
- Reference Lines:
- Overbought level (default: 70)
- Oversold level (default: 30)
- Middle line (50)
Alert Conditions
1. Volatility High Alert
- Triggers when oscillator crosses above the overbought level
- Useful for identifying potential market tops or breakout scenarios
2. Volatility Low Alert
- Triggers when oscillator crosses below the oversold level
- Helps identify potential market bottoms or consolidation periods
Risk Adjustment Tool
- Scale position sizes inversely to oscillator readings
- Reduce exposure during extremely high volatility periods
- Increase position sizes during normal volatility conditions
Best Practices
1. Timeframe Selection
- Best suited for 1H, 4H, and Daily charts
- Adjust length parameter based on timeframe
2. Confirmation
- Use in conjunction with trend indicators
- Confirm signals with price action patterns
- Consider overall market context
3. Parameter Optimization
- Backtest different length settings
- Adjust overbought/oversold levels based on asset
- Consider market conditions when setting alerts
Technical Notes
- Built in PineScript v5
- Optimized for TradingView platform
- Uses rolling window calculations for better adaptability
- Compatible with all trading instruments
- Minimal performance impact on charts
Version History
- v1.1: Added dynamic coloring, customizable levels, and alert conditions
- v1.0: Initial release with basic oscillator functionality
Disclaimer
This technical indicator is provided for educational and informational purposes only. Past performance is not indicative of future results. Always conduct thorough testing and use proper risk management techniques.
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Tags: #TechnicalAnalysis #Volatility #Trading #Oscillator #TradingView #PineScript
Wolfpack Elite - Liquidation Sniper - by 9123416916### Strategy: **Wolfpack Elite - Liquidation Sniper by Md Arif**
**Overview:**
This is a technical analysis strategy designed for trading, which combines two popular technical indicators: **Relative Strength Index (RSI)** and **Moving Averages (MA)**. It identifies potential buy (long) and sell (short) signals based on oversold and overbought conditions in the market, along with crossovers between two moving averages. The strategy also incorporates a risk management system by setting **take profit** and **stop loss** levels to protect against large losses and lock in gains.
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**Key Components:**
1. **Indicators Used:**
- **RSI (Relative Strength Index):**
- Measures the speed and change of price movements.
- Used to identify **overbought** (above 70) and **oversold** (below 30) conditions.
- **Short and Long Moving Averages:**
- The strategy uses two simple moving averages (SMA) to detect trends and potential entry points.
- Short MA (9-period) and Long MA (21-period) are used for crossovers.
2. **Entry Signals:**
- **Bullish Entry (Long Position):**
- Triggered when the RSI falls below the oversold level (30) and the **short MA** crosses above the **long MA** (bullish crossover).
- This suggests that the market might be oversold and ready to rebound.
- **Bearish Entry (Short Position):**
- Triggered when the RSI rises above the overbought level (70) and the **short MA** crosses below the **long MA** (bearish crossover).
- This suggests that the market might be overbought and due for a correction.
3. **Risk Management:**
- **Take Profit and Stop Loss:**
- The strategy calculates the take profit and stop loss levels as percentages of the entry price.
- **Take Profit:** Set at 5% above the entry price for long positions and 5% below the entry price for short positions.
- **Stop Loss:** Set at 3% below the entry price for long positions and 3% above the entry price for short positions.
4. **Position Sizing:**
- The position size is calculated as a percentage of the trader's total equity (default set to 100% of equity).
5. **Exit Conditions:**
- **For Long Positions:**
- Exit the trade if the price hits the take profit level (5% above entry) or the stop loss level (3% below entry).
- **For Short Positions:**
- Exit the trade if the price hits the take profit level (5% below entry) or the stop loss level (3% above entry).
6. **Visualization:**
- The strategy visually plots the short and long moving averages on the chart.
- It also marks **bullish crossovers** with green upward triangles and **bearish crossovers** with red downward triangles, making it easier to spot potential entry points.
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**How the Strategy Works:**
- The strategy starts by calculating the **RSI** and **moving averages**.
- It waits for specific conditions to trigger buy or sell signals. If the RSI indicates that the market is oversold and a bullish crossover occurs, it initiates a **long trade**. Similarly, if the RSI shows an overbought condition and a bearish crossover occurs, it opens a **short trade**.
- Once a trade is open, the strategy monitors the price and automatically exits the trade if the price reaches the set take profit or stop loss level.
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This strategy is designed for active traders who seek to capitalize on short-term price movements and want clear entry/exit points with built-in risk management.
Strategy: Candlestick Wick Analysis with Volume Conditions
This strategy focuses on analyzing the wicks (or shadows) of candlesticks to identify potential trading opportunities based on candlestick structure and volume. Based on these criteria, it places stop orders at the extremities of the wicks when certain conditions are met, thus increasing the chances of capturing significant price movements.
Trading Criteria
Volume Conditions:
The strategy checks if the volume of the current candle is higher than that of the previous three candles. This ensures that the observed price movement is supported by significant volume, increasing the probability that the price will continue in the same direction.
Wick Analysis:
Upper Wick:
If the upper wick of a candle represents more than 90% of its body size and is longer than the lower wick, this indicates that the price tested a resistance level before pulling back.
Order Placement: In this case, a Buy Stop order is placed at the upper extremity of the wick. This means that if the price rises back to this level, the order will be triggered, and the trader will take a buy position.
SL Management: A stop-loss is then placed below the lowest point of the same candle. This protects the trader by limiting losses if the price falls back after the order is triggered.
Lower Wick:
If the lower wick of a candle is longer than the upper wick and represents more than 90% of its body size, this indicates that the price tested a support level before rising.
Order Placement: In this case, a Sell Stop order is placed at the lower extremity of the wick. Thus, if the price drops back to this level, the order will be triggered, and the trader will take a sell position.
SL Management: A stop-loss is then placed above the highest point of the same candle. This ensures risk management by limiting losses if the price rebounds upward after the order is triggered.
Strategy Advantages
Responsiveness to Price Movements: The strategy is designed to detect significant price movements based on the market's reaction around support and resistance levels. By placing stop orders directly at the wick extremities, it allows capturing strong movements in the direction indicated by the candles.
Securing Positions: Using stop-losses positioned just above or below key levels (wicks) provides better risk management. If the market doesn't move as expected, the position is automatically closed with a limited loss.
Clear Visual Indicators: Symbols are displayed on the chart at the points where orders have been placed, making it easier to understand trading decisions. This helps to quickly identify the support or resistance levels tested by the price, as well as potential entry points.
Conclusion
The strategy is based on the idea that large wicks signal areas where buyers or sellers have tested significant price levels before temporarily retreating. By placing stop orders at the extremities of these wicks, the strategy allows capturing price movements when they confirm, while limiting risks through strategically placed stop-losses. It thus offers a balanced approach between capturing potential profit and managing risk.
This description emphasizes the idea of capturing significant market movements with stop orders while providing a clear explanation of the logic and risk management. It’s tailored for publication on TradingView and highlights the robustness of the strategy.
