Daily Volatility Limit Channel
Hello, this is the simplest yet most powerful tool I have discovered regarding volatility. Using the ATR17 value based on a 4-hour timeframe, this tool displays the most significant volatility thresholds for the day, clearly showing when strong trends occur as these boundaries are breached. Once a boundary is crossed, the price of Bitcoin (as well as other actively traded asset classes like stocks and futures) tends to continue moving in the direction of the breakout. If the price reaches a boundary but fails to break through, this point often becomes the lowest point of pullback or correction, effectively serving as a pivot point and the optimal entry for buying.
The indicator features color and arrow options, enhancing your trading experience. The arrows appear below the candles when the trend changes to an upward impulse and above the candles when it shifts to a downward impulse. This visual aid allows traders to quickly identify trend reversals and make informed decisions.
In summary, this tool effectively highlights volatility limits and trend reversals, making it a valuable asset for any trader looking to navigate the market efficiently.
This indicator is recommended for use on 2-hour or 4-hour candlestick charts. These timeframes allow for clearer visualization of volatility and help effectively identify strong trends and volatility boundaries.
안녕하세요. 이것은 변동성에 관해 제가 발견한 것 중 가장 심플하고도 강력한 툴입니다. 4시간 기준의 ATR17값을 사용한 이 툴은 당일의 가장 강력한 변동성 한계점을 보여주며, 이 변동성 경계가 돌파될 때 강한 추세가 일어나는 것을 명확히 보여줍니다. 한 번 경계가 돌파되면 비트코인 가격(그리고 주식, 선물 등 다른 대부분의 모든 가격을 가지고 활발하게 거래되는 자산군)은 해당 돌파 쪽의 트렌드로 계속 움직이는 경향이 있습니다. 만약 가격이 경계에 도달한 채로 이 경계를 돌파하지 못할 때는 이 자리가 눌림과 조정의 최저점, 즉 피봇 포인트가 되어 매수의 최적 지점이 되는 것을 보실 수 있습니다.
지표에는 컬러 옵션과 화살표 옵션이 있어 거래 경험을 향상시킵니다. 트렌드가 상승 임펄스로 변경될 때 화살표가 캔들 아래에 나타나고, 하락 임펄스로 변경될 때는 캔들 위에 나타납니다. 이 시각적 도구는 트렌드 반전을 빠르게 식별할 수 있도록 도와주어, 거래자들이 정보에 기반한 결정을 내리는 데 유용합니다.
요약하자면, 이 툴은 변동성 한계와 트렌드 반전을 효과적으로 강조하여, 시장을 효율적으로 탐색하려는 모든 거래자에게 가치 있는 자산이 될 것입니다.
이 지표는 2시간 또는 4시간 캔들 차트에서 사용하는 것이 권장됩니다. 이러한 시간대는 지표의 변동성을 보다 명확하게 시각화하며, 강한 추세와 변동성 한계점을 효과적으로 식별하는 데 도움을 줍니다.
頻帶和通道
Alpine Predictive BandsAlpine Predictive Bands - ADX & Trend Projection is an advanced indicator crafted to estimate potential price zones and trend strength by integrating dynamic support/resistance bands, ADX-based confidence scoring, and linear regression-based price projections. Designed for adaptive trend analysis, this tool combines multi-timeframe ADX insights, volume metrics, and trend alignment for improved confidence in trend direction and reliability.
Key Calculations and Components:
Linear Regression for Price Projection:
Purpose: Provides a trend-based projection line to illustrate potential price direction.
Calculation: The Linear Regression Centerline (LRC) is calculated over a user-defined lookbackPeriod. The slope, representing the rate of price movement, is extended forward using predictionLength. This projected path only appears when the confidence score is 70% or higher, revealing a white dotted line to highlight high-confidence trends.
Adaptive Prediction Bands:
Purpose: ATR-based bands offer dynamic support/resistance zones by adjusting to volatility.
Calculation: Bands are calculated using the Average True Range (ATR) over the lookbackPeriod, multiplied by a volatilityMultiplier to adjust the width. These shaded bands expand during higher volatility, guiding traders in identifying flexible support/resistance zones.
Confidence Score (ADX, Volume, and Trend Alignment):
Purpose: Reflects the reliability of trend projections by combining ADX, volume status, and EMA alignment across multiple timeframes.
ADX Component: ADX values from the current timeframe and two higher timeframes assess trend strength on a broader scale. Strong ADX readings across timeframes boost the confidence score.
Volume Component: Volume strength is marked as “High” or “Low” based on a moving average, signaling trend participation.
Trend Alignment: EMA alignment across timeframes indicates “Bullish” or “Bearish” trends, confirming overall trend direction.
Calculation: ADX, volume, and trend alignment integrate to produce a confidence score from 0% to 100%. When the score exceeds 70%, the white projection line is activated, underscoring high-confidence trend continuations.
User Guide
Projection Line: The white dotted line, which appears only when the confidence score is 70% or higher, highlights a high-confidence trend.
Prediction Bands: Adaptive bands provide potential support/resistance zones, expanding with market volatility to help traders visualize price ranges.
Confidence Score: A high score indicates a stronger, more reliable trend and can support trend-following strategies.
Settings
Prediction Length: Determines the forward length of the projection.
Lookback Period: Sets the data range for calculating regression and ATR.
Volatility Multiplier: Adjusts the width of bands to match volatility levels.
Disclaimer: This indicator is for educational purposes and does not guarantee future price outcomes. Additional analysis is recommended, as trading carries inherent risks.
Up/Down Volume with Normal DistributionThis indicator analyzes the relationship between price movements and trading volume by distinguishing between "up" and "down" volume. Up volume refers to trading volume occurring during price increases, while down volume refers to trading volume during price decreases. The indicator calculates the mean and standard deviation for both up and down volume over a specified length. This statistical approach enables traders to visualize volume deviations from the average, highlighting potential market anomalies that could signal trading opportunities.
Relationship Between Price and Volume
Volume is a critical metric in technical analysis, often considered a leading indicator of price movements. According to studies in financial economics, significant price changes accompanied by high volume tend to indicate strong market conviction (Wyart et al., 2008). Conversely, price changes on low volume may suggest a lack of interest or conviction, making those moves less reliable.
The relationship between price and volume can be summarized as follows:
Confirmation of Trends: High volume accompanying a price increase often confirms an upward trend. Similarly, high volume during price declines indicates bearish sentiment.
Reversals and Exhaustion: Decreases in volume during price increases may suggest a potential reversal or exhaustion of buying pressure, while increased volume during declines can indicate capitulation.
Breakouts: Price movements that break through significant resistance or support levels accompanied by high volume are typically more significant and suggest stronger follow-through in the new direction.
Developing a Trading Strategy
Traders can leverage the insights gained from this relationship to formulate a trading strategy based on volume analysis:
Entry Signals: Traders can enter long positions when the up volume significantly exceeds the mean by a predefined number of standard deviations. This situation indicates strong buying interest. Conversely, short positions can be initiated when down volume exceeds the mean by a specified standard deviation.
Exit Signals: Exiting positions can be based on changes in volume patterns. If the volume starts to decrease significantly after a price increase, this may signal a potential reversal or the need to lock in profits.
Risk Management: Integrating volume analysis with other technical indicators, such as moving averages or RSI, can provide a more comprehensive risk management framework, enhancing the overall effectiveness of the strategy.
In conclusion, understanding the relationship between price and volume, alongside employing statistical measures like the mean and standard deviation, enables traders to create more robust trading strategies that capitalize on market movements.
References
Wyart, M., Bouchaud, J.-P., & Dacorogna, M. (2008). "Self-organized volatility in a complicated market." European Physical Journal B, 61(2), 195-203. doi:10.1140
Rolling ATR Bands | Flux Charts💎 GENERAL OVERVIEW
Introducing the Rolling ATR Bands indicator! This indicator overlays adaptive bands around the price, using the Average True Range (ATR) to define dynamic support and resistance levels. The Rolling ATR Bands are color-coded to visually indicate potential trend strength, shifting between bearish, neutral, and bullish colors. This tool can help traders interpret price volatility, as well as identify probable trend changes, continuations, or reversals. For more information about the process, check the "HOW DOES IT WORK ?" section.
Features of the new Rolling ATR Bands:
ATR Bands With Customizable ATR Length & Multiplier
Smooth Trend Strength With Adjustable Smoothing Options
Color-coded bands Representing Bearish, Neutral, or Bullish Trends
Alerts for Retests & Breaks
Customizable Visuals
📌 HOW DOES IT WORK?
The Rolling ATR Bands indicator calculates the ATR based on the specified length and multiplier to form upper and lower bands around the price. These bands adapt with market volatility, widening during high volatility and contracting during lower volatility periods.
In addition, the indicator calculates a "trend strength" score by combining an interpolated RSI, Supertrend, and EMA crossover. This score is smoothed with a customizable length, and a color gradient is applied to visually denote the strength of bearish, neutral, or bullish conditions.
Here's how to interpret the bands:
Upper Band: Acts as dynamic resistance; when price approaches or touches it, this often suggests potential overbought conditions.
Lower Band: Acts as dynamic support; touching or nearing this band might indicate potential oversold conditions.
Color Shifts: Color changes indicate shifts in trend direction. For example, a green color suggests a bullish trend, while red hints at bearish tendencies.
🚩 UNIQUENESS
What sets the Rolling ATR Bands apart is the combined use of interpolated RSI, Supertrend, and EMA cross values, creating a weighted trend strength score. This integration allows for nuanced, color-coded visual cues that respond quickly to trend changes without excessive noise, offering traders an intuitive view of both trend direction and potential momentum. You can also set up alerts for retest & alerts for upper and lower bands to get informed of potential movements.
⚙️ SETTINGS
1. General Configuration
ATR Length : Controls the ATR calculation length for the bands.
Smoothing: Adjusts the trend strength smoothing to control sensitivity to trend changes.
ATR Multiplier : Sets the width of the bands by multiplying the ATR value.
Trend Smoothing : Higher settings will result in longer periods of time required for trend to change direction from bullish to bearish and vice versa.
RSI - EMA - WMA ( Phat-Truong )Indicator: RSI ( EMA - WMA )
This indicator, named "RSI ( EMA - WMA )", is a versatile tool designed to provide insights into market momentum and trend strength by combining multiple technical indicators.
The Relative Strength Index (RSI) is a popular momentum oscillator used to measure the speed and change of price movements. In this indicator, RSI is plotted alongside its Exponential Moving Average (EMA) and Weighted Moving Average (WMA). EMA and WMA are smoothing techniques applied to RSI to help identify trends more clearly.
Key features of this indicator include:
RSI: The main RSI line is plotted on the chart, offering insights into overbought and oversold conditions.
EMA of RSI: The Exponential Moving Average of RSI smooths out short-term fluctuations, aiding in trend identification.
WMA of RSI: The Weighted Moving Average of RSI gives more weight to recent data points, providing a faster response to price changes.
Additionally, this indicator marks specific RSI levels considered as bullish and bearish trends, helping traders identify potential entry or exit points based on market sentiment.
By combining these technical indicators, traders can gain a comprehensive understanding of market dynamics, helping them make more informed trading decisions.
Percent Trend Change [BigBeluga]The Percent Trend Change indicator is a trend-following tool that provides real-time percentage changes during trends based on entry prices. Using John Ehlers’ Ultimate Smoother filter, it detects trend direction, identifies uptrends and downtrends, and tracks percentage changes during the trend. Additionally, it has a channel that can be toggled on or off, and the width can be customized, adding an extra visual layer to assess trend strength and direction.
NIFTY50:
META:
🔵 IDEA
The Percent Trend Change indicator helps traders visualize the progression of a trend with percentage changes from entry points. It identifies trends and marks percentage changes during the trend, making it easier to assess the strength and sustainability of the ongoing trend.
The use of John Ehlers' Ultimate Smoother filter helps detect trend changes based on consecutive price movements over five bars, making it highly responsive to short- and medium-term trends.
🔵 KEY FEATURES & USAGE
◉ Ultimate Smoother Filter for Trend Detection:
The trend is detected using the Ultimate Smoother filter. If the smoothed line rises five times in a row, the indicator identifies an uptrend. If it falls five times in a row, it identifies a downtrend.
◉ Trend Entry with Price Labels:
The indicator marks trend entry points with up (green) and down (red) triangles. These triangles are labeled with the entry price, allowing traders to track the starting price of the trend.
◉ Percentage Change Labels During Trends:
During a trend, the indicator periodically plots percentage change labels based on the bar period set in the settings.
In an uptrend, positive changes are marked in green, while negative changes are marked in orange. In a downtrend, negative changes are marked in red, while positive changes are marked in orange.
Each plotted percentage label also includes a count of the trend points, allowing traders to track how many times the percentage labels have been plotted during the current trend.
These percentage labels help traders understand how much the price has changed since the trend began and can be used to define potential take-profit targets.
◉ Channel Toggle and Width Customization:
The indicator includes a channel that visually highlights the trend. Traders can toggle this channel on or off, and the width of the channel can be adjusted to match individual preferences. The channel helps visualize the overall trend direction and the range within which price fluctuations occur.
🔵 CUSTOMIZATION
Smoother Length: Adjusts the length of the Ultimate Smoother filter, affecting how responsive the indicator is to price fluctuations.
Bars Percent: Defines how many bars must pass before a new percentage label is plotted. A smaller value plots labels more frequently, while a higher value shows fewer labels.
Channel Width & Show Channel: The width of the channel can be customized, and traders can toggle the channel on or off depending on their preferences.
Color Customization: Traders can customize the colors for the uptrend, downtrend, and percentage labels, providing flexibility in how the indicator is displayed on the chart.
By combining trend-following capabilities with percentage change tracking, the Percent Trend Change indicator offers a powerful tool for identifying trend direction and setting potential take-profit targets. The ability to customize the channel and percentage labels makes it adaptable to various trading strategies.
Advanced VWAP [CryptoSea]The Advanced VWAP is a comprehensive volume-weighted average price (VWAP) tool designed to provide traders with a deeper understanding of market trends through multi-layered VWAP analysis. This indicator is ideal for those who want to track price movements in relation to VWAP bands and detect key market levels with greater precision.
Key Features
Multi-Timeframe VWAP Bands: Includes multiple VWAP bands with different lookback periods (5, 10, 25, and 50), allowing traders to observe short-term and long-term price behavior.
Smoothed Band Options: Offers optional smoothing of VWAP bands to reduce noise and highlight significant trends more clearly.
Dynamic Median Line Display: Plots the median line of the VWAP bands, providing a reference for price movements and potential reversal zones.
VWAP Trend Strength Calculation: Measures the strength of the trend based on the price's position relative to the VWAP bands, normalized between -1 and 1 for easier interpretation.
In the example below we can see the VWAP Forecastd Cloud, which consists of multiple layers of VWAP bands with varying lookback periods, creating a dynamic forecast visualization. The cloud structure represents potential future price ranges by projecting VWAP-based bands outward, with darker areas indicating higher density and overlap of the bands, suggesting stronger support or resistance zones. This approach helps traders anticipate price movement and identify areas of potential consolidation or breakout as the price interacts with different layers of the forecast cloud.
How it Works
VWAP Calculation: Utilizes multiple VWAP calculations based on various lookback periods to capture a broad range of price behaviors. The indicator adapts to different market conditions by switching between short-term and long-term VWAP references.
Smoothing Algorithms: Provides the ability to smooth the VWAP bands using different moving average types (SMA, EMA, SMMA, WMA, VWMA) to suit various trading strategies and reduce market noise.
Trend Strength Analysis: Computes the trend strength based on the price's distance from the VWAP bands, with a value range of -1 to 1. This feature helps traders identify the intensity of uptrends and downtrends.
Alert Conditions: Includes alert options for crossing above or below the smoothed median line, as well as touching the smoothed upper or lower bands, providing timely notifications for potential trading opportunities.
This image below illustrates the use of smoothed VWAP bands, which provide a cleaner representation of the price's relationship to the VWAP by reducing market noise. The smoothed bands create a flowing cloud-like structure, making it easier to observe significant trends and potential reversal points. The circles highlight areas where the price interacts with the smoothed bands, indicating potential key levels for trend continuation or reversal. This setup helps traders focus on meaningful movements and filter out minor fluctuations, improving the identification of strategic entry and exit points based on smoother trend signals.
Application
Strategic Entry and Exit Points: Helps traders identify optimal entry and exit points based on the interaction with VWAP bands and trend strength readings.
Trend Confirmation: Assists in confirming trend strength by analyzing price movements relative to the VWAP bands and detecting significant breaks or touches.
Customized Analysis: Supports a wide range of trading styles by offering adjustable smoothing, band settings, and alert conditions to meet specific trading needs.
The Advanced VWAP by is a valuable addition to any trader's toolkit, offering versatile features to navigate different market scenarios with confidence. Whether used for day trading or longer-term analysis, this tool enhances decision-making by providing a robust view of price behavior relative to VWAP levels.
Heikin Line - TB365Heikin Line - An Enhanced Smoothed Heiken Ashi Overlay
Built on the foundation of TheBacktestGuy’s Smoothed Heiken Ashi indicator, Heikin Line takes trend analysis to the next level with versatile enhancements and adaptable settings.
This indicator offers selectable moving averages both before and after Heiken Ashi (HA) calculation, adding an additional layer of smoothness to traditional HA candles.
Key Features:
Trend Identification: Detects short and long-term trend directions with greater clarity.
Dynamic Support and Resistance: Not limited to a single line, Heikin Line creates a dynamic support/resistance zone, offering a visual “height” that adjusts with market shifts.
Trailing Stop: Effective as a trailing stop for enhanced risk management.
Trend Reversal Detection: Quickly identifies potential reversals when price crosses above or below the Heiken Ashi candle.
Improvements:
Trend Strength Visualization: Uses a cord-like appearance to reflect trend strength, making it easier to spot strong or weak trends.
Quick Reversal Detection: Enhanced responsiveness to detect rapid market reversals.
Easy Integration: Seamlessly combines with other indicators for a comprehensive trading setup.
With numerous moving average options, Heikin Line is adjustable to suit various market conditions and trading styles. Additionally, it leverages my TAExt library, so you can use it within your own strategies for added versatility.
Flashtrader´s Statistical BandwidthsThe vast majority of traders exclusively concern
themselves with trend-following in all its facets. Scoring
points with trends on a regular basis is a difficult task
since prices do not constantly move in one direction
or another. In the case of the DAX future, for example,
only about 30 per cent of all trading days in a year are
trend days. And of these, there are x percent long ones
and x per cent short ones. Catching the very days when
prices rise or fall from the opening to the close is a major
challenge for a trader who also needs to have previously
recognised the corresponding direction.
However, there are also other ways of profit-taking
every day – for example, by using the mean reversion
strategy. The idea behind this is the fact that prices reach
a high and a low every day – but very rarely close at the
high or the low. This means that prices always move
away from these extreme points and the closing price is
somewhere in between. A profitable trading strategy can
be developed out of this.
But how can you know where the high and the low
will be tomorrow? Is it possible for you to know this in
advance? No – because no one can predict the future. Or
can they? At least it can be statistically determined how
high or low prices could go tomorrow. There is a high
degree of probability that one of the two possibilities
will materialise. It will then be necessary to act.
Calculation
Classic pivot points for the following day are calculated
from the high, low and closing price. But does it really
make sense to use such a mix? I don’t think so and
use a different calculation for this strategy. In a first step,
only the differences between the start and the high or low
are calculated on a daily basis. To avoid being dependent
on individual days and outliers, it is advisable to calculate,
in a second step, the average of these differences over
the past five days. Finally, this average will then be added
at the opening price of the current trading day for the
upper statistical bandwidth and subtracted for the lower
bandwidth.
upper bandwidth = oSTB (violet dashed line in the chart)
lower bandwidth = uSTB (violet dashedline in the chart)
The second interesting question is, if the previous day's high has been exceeded, how much further can the price rise from a mathematical/statistical point of view?
These calculated previous day highs expansions are shown as red dashed lines
Previous day's high expansion = VTHA
Previous day's low expansion = VTTA
For further orientation, the previous day's high (VTH) and the previous day's low (VTT) are shown in light blue dashed lines
And as a supplement, the previous day's close in the DAX Future at 10:00 p.m. VTSA in violet solid lines and the previous day's close in the cash register at 5:30 p.m. VTSN in yellow solid lines
Reaching the calculated extreme values does not mean that the trend has to change immediately, but there is at least temporary exhaustion potential with which you can earn a few points every day in the area of scalping.
Example for cheap entry long:
Example for cheap entry short:
Deutsch:
Die Masse der Trader beschäftigt sich ausschließlich mit Trendfolge in all ihren Facetten. Mit Trends regelmäßig zu punkten ist ein schwieriges Unterfangen, da die Kurse nicht ständig in die eine oder andere Richtung laufen. Beim DAX-Future zum Beispiel sind von allen Börsentagen im Jahr lediglich zirka 30 Prozent Trendtage. Davon sind dann auch noch x Prozent Long und x Prozent Short. Hier genau die Tage abzupassen, an denen die Kurse von Börsenbeginn bis zum Schluss steigen beziehungsweise fallen, ist eine große Herausforderung – wobei der Trader zuvor noch die entsprechende Richtung erkannt haben muss. Es gibt jedoch auch noch andere Methoden täglich Gewinne mitzunehmen, zum Beispiel mit der Mean-Reversion-Strategie (Mittelwertumkehr).
Hintergrund ist die Tatsache, dass die Kurse jeden Tag ein Hoch und ein Tief erreichen – aber sehr selten am Hoch oder am Tief schließen. Das bedeutet, dass die Preise sich immer wie der von diesen Extrempunkten wegbewegen und der Schlusskurs irgendwo dazwischen liegt. Hieraus lässt sich eine profitable Handelsstrategie entwickeln. Aber woher kannst Du wissen, wo morgen das Hoch und das Tief sein wird? Kannst Du das vorher schon wissen? Nein – denn niemand kann die Zukunft vorhersagen. Oder doch? Statistisch lässt sich zumindest bestimmen, wie hoch und wie tief die Kurse morgen steigen oder fallen könnten. Eine Seite wird mit sehr hoher Wahrscheinlichkeit ein treffen. Dann gilt es zu handeln.
Berechnung Klassischer Pivot-Punkte für den folgenden Tag werden aus Hoch, Tief und Schlusskurs berechnet. Aber ist es wirklich sinnvoll, einen solchen Mix zu verwenden? Ich finde das nicht und verwenden für diese Strategie eine andere Berechnung. Im ersten Schritt werden täglich die Differenzen nur vom Start bis zum Hoch beziehungsweise Tief errechnet. Um nicht von einzelnen Tagen und Ausreißern abhängig zu sein, empfiehlt es sich, in einem zweiten Schritt den Durchschnitt dieser Differenzen über die letzten fünf Tage zu errechnen. Zuletzt wird dann dieser Durchschnitt zum Eröffnungskurs des aktuellen Handelstages für die obere statistische Bandbreite addiert und für die untere Bandbreite subtrahiert.
Obere statistische Bandbreite = oSTB (violette gestrichelte Linie im Chart)
Untere statistische Bandbreite = uSTB (violette gestrichelte Linie im Chart)
Die zweite interessante Frage ist, wenn das Vortageshoch überschritten wurde, wie weit kann der Kurs dann noch steigen aus mathematisch/statistischer Sicht?
Diese berechneten Vortagesextremausdehnungen sind als rote gestrichelte Linien dargestellt
Vortageshochausdehnung = VTHA
Vortagestiefausdehnung = VTTA
Für die weitere Orientierung sind die Vortageshochs (VTH) und die Vortagestiefs (VTT) als hellblaue gestrichelte Linien abgebildet.
Als Ergänzung wird noch der Vortages Schluss im Dax Future um 22:00 Uhr VTSA mit einer violetten durchgezogenen Linie und der Kassamarktschluss um 17:30 Uhr mit einer gelben durchgezogenen Linie gezeigt.
Das Erreichen der berechneten Extremwerte bedeutet nicht, das der Trend sofort drehen muss, aber es sind zumindest temporäre Erschöpfungspotentiale mit denen sich im Bereich scalping täglich einige Punkte verdienen lassen.
Beispiel für günstigen Einstieg Long:
Beispiel für günstigen Einstieg Short:
Harmony Signal Flow By ArunThis Pine Script strategy, titled "Harmony Signal Flow By Arun," uses the Relative Strength Index (RSI) indicator to generate buy and sell signals based on custom thresholds. The script incorporates stop-loss and target management and restricts new trades until the previous position closes. Here's a detailed description:
Custom RSI Metric:
The strategy calculates a 5-period RSI based on the closing price, aiming for a more responsive measure of price momentum.
RSI thresholds are defined:
Lower threshold (30): Indicates oversold conditions, triggering a potential buy.
Upper threshold (70): Indicates overbought conditions, prompting a possible sell.
Entry Conditions:
Buy Signal: The strategy initiates a buy order when the RSI crosses above the lower threshold (30), indicating a shift from oversold conditions.
Sell Signal: A sell order is triggered when the RSI crosses below the upper threshold (70), suggesting an overbought reversal.
Only one order (buy or sell) can be active at a time, ensuring that a new trade begins only when there’s no existing position.
Stop-Loss and Target Management:
For each trade, stop-loss and target conditions are applied to manage risk and secure profits.
For Buy Positions:
Stop-loss is set 100 points below the entry price.
Target is set 150 points above the entry price.
For Sell Positions:
Stop-loss is set 100 points above the entry price.
Target is 150 points below the entry price.
The strategy closes the trade when either the stop-loss or target is met, marking the trade as "closed" and allowing a new trade entry.
Trade Sequencing:
A new trade (buy or sell) is only permitted after the previous position hits either its stop-loss or target, preventing overlapping trades and ensuring clear trade sequences.
This sequential approach enhances risk management by ensuring only one active position at any time.
End-of-Day Closure:
All open positions are closed automatically at 3:25 PM (Indian market time) to avoid overnight exposure, ensuring the strategy remains strictly intraday.
The flag for trade entry is reset at the end of each day, enabling fresh trades the next day.
Chart Indicators:
The script plots buy and sell signals directly on the chart with visible labels.
It also displays the custom RSI metric with horizontal lines for the lower and upper thresholds, providing visual cues for entry and exit points.
Summary
This strategy is a momentum-based intraday trading approach that uses the RSI for identifying potential reversals and manages trades through predefined stop-loss and target levels. By enforcing trade sequencing and closing positions at the end of the trading day, it prioritizes risk management and seeks to capitalize on short-term trends while avoiding overnight market risks.
Smart Money Concepts IndicatorBEST ICT AND SMC INDICATOR
The **Smart Money Concepts Indicator** is designed to enhance trading decisions by incorporating key principles from Smart Money Concepts (SMC), focusing on the detection of market structure changes, liquidity zones, order flow, and order blocks. This indicator is particularly useful for traders looking to understand market dynamics and make informed trading decisions based on advanced market analysis.
#### Key Features:
1. **Break of Structure (BOS)**:
- Identifies upward and downward breaks in market structure, indicating potential trend reversals.
- Visual markers on the chart help traders spot these critical levels.
2. **Change of Character (CHOCH)**:
- Detects significant changes in market direction, highlighting potential shifts in momentum.
- Clearly labeled signals indicate when the market may be changing its character.
3. **Order Blocks**:
- Highlights order blocks, which are key areas where significant buying or selling has occurred.
- Provides visual cues for potential support and resistance zones.
4. **Liquidity Zones**:
- Marks liquidity zones, indicating areas where buy-side or sell-side liquidity may be targeted.
- Helps traders understand where the market might draw liquidity.
5. **Dynamic Take Profit and Stop Loss Levels**:
- Calculates and plots take profit (TP) and stop loss (SL) levels based on the Average True Range (ATR) for adaptive risk management.
- Customizable multipliers allow traders to adjust levels based on their risk tolerance.
6. **Order Flow Analysis**:
- Displays bullish and bearish order flow signals based on candle close relative to open.
- Provides insights into market sentiment and potential future price action.
#### How to Use:
- **Identifying Entry and Exit Points**: Use BOS and CHOCH signals to find potential entry points, while leveraging TP and SL levels for risk management.
- **Market Analysis**: Analyze order blocks and liquidity zones to make informed decisions on market behavior.
- **Visual Confirmation**: The clear visual cues provided by the indicator make it easier to interpret market movements and align trades with institutional behavior.
#### Conclusion:
The Smart Money Concepts Indicator is an invaluable tool for traders looking to enhance their understanding of market structure and make more informed trading decisions. By integrating advanced concepts like BOS, CHOCH, and liquidity analysis, this indicator helps traders navigate the complexities of the market with greater confidence.
[ETH] Optimized Trend Strategy - Lorenzo SuperScalpStrategy Title: Optimized Trend Strategy - Lorenzo SuperScalp
Description:
The Optimized Trend Strategy is a comprehensive trading system tailored for Ethereum (ETH) and optimized for the 15-minute timeframe but adaptable to various timeframes. This strategy utilizes a combination of technical indicators—RSI, Bollinger Bands, and MACD—to identify and act on price trends efficiently, providing traders with actionable buy and sell signals based on market conditions.
Key Features:
Multi-Indicator Approach:
RSI (Relative Strength Index): Identifies overbought and oversold conditions to time market entries and exits.
Bollinger Bands: Acts as a dynamic support and resistance level, helping to pinpoint precise entry and exit zones.
MACD (Moving Average Convergence Divergence): Detects momentum changes through bullish and bearish crossovers.
Signal Conditions:
Buy Signal:
RSI is below 45 (indicating an oversold condition).
Price is near or below the lower Bollinger Band.
MACD bullish crossover occurs.
Sell Signal:
RSI is above 55 (indicating an overbought condition).
Price is near or above the upper Bollinger Band.
MACD bearish crossunder occurs.
Trade Execution Logic:
Long Trades: Opened when a buy signal flashes. If there’s an open short position, it is closed before opening a long.
Short Trades: Opened when a sell signal flashes. If there’s an open long position, it is closed before opening a short.
The strategy also ensures a minimum number of bars between consecutive trades to avoid rapid trading in choppy conditions.
Pyramiding Support:
Up to 3 consecutive trades in the same direction are allowed, enabling traders to scale into positions based on strong signals.
Visual Indicators:
RSI Levels: Dotted lines at 45 and 55 for quick reference to oversold and overbought levels.
Buy and Sell Signals: Visual markers on the chart indicate where trades are executed, ensuring clarity on entry and exit points.
Best Used For:
Swing Trading & Scalping: While optimized for the 15-minute timeframe, this strategy works across various timeframes, making it suitable for both short-term scalping and swing trading.
Crypto Trading: Tailored for Ethereum but effective for other cryptocurrencies due to its dynamic indicator setup.
Night Low Liquidity Congestions with 4 Trading SessionsThis indicator is designed to help traders visualize and analyze key market periods of low liquidity during the night and identify high-activity zones in the morning. It also includes customizable time sessions for major global markets, including the European and American sessions, as well as the London Close session.
T he main functionalities include:
- Night Low Liquidity Phase: This highlights periods with typically low market activity during the night (default: 20:01–5:59). It also displays the total range (in pips) during this phase, allowing traders to identify potential price consolidations.
- Morning Hot Zone: This focuses on high-activity periods in the early morning (default: 6:00–7:59), providing visual cues without altering bar colors.
- European Trading Session: Displays the European market’s open hours (default: 8:00–12:00), shaded in blue, to mark increased volatility typically seen during this period.
- American Trading Session: Marks the active hours of the U.S. market (default: 12:01–16:59), where market activity tends to peak.
- London Close Area: Highlights the closing hours of the London market (default: 17:00–20:00), allowing traders to track potential liquidity shifts.
Key Features:
1. Customizable Time Sessions:
- The indicator allows for full customization of the start and end times for each market session, making it adaptable to different instruments and trading style.
- Traders can choose their preferred color and opacity for each time zone to suit their charting preferences.
2. Night Low Liquidity Pip Range Calculation:
- Automatically calculates and displays the pip range for the Night Low Liquidity phase.
- The range is colored red if it exceeds the specified threshold and green if it remains below it.
3. Alarm System:
- Customizable alerts for H1, M15, and M5 timeframes.
- Traders can set alerts to trigger just before a bar closes during specific sessions (European, American, or London Close) and on selected days of the week (Monday–Friday).
- The alarm system allows for full customization of active hours and days, giving traders full control over their notifications.
4. Clear Visual Cues:
- The indicator uses transparent shading to differentiate market sessions, making it easy to spot different phases of the trading day.
- Each session is visually distinct and can be toggled on or off based on trader preferences.
Ideal For:
- Traders who focus on intraday strategies and want to understand how market sessions affect liquidity and volatility.
- Those looking to trade during specific time windows like the Night Low Liquidity or Morning Hot Zones.
- Traders who need to automate their alerts based on specific market hours and close events for major timeframes.
SMA Fibonacci Rainbow Waves[FibonacciFlux]SMA Fibonacci Rainbow Waves
Overview
The SMA Fibonacci Rainbow Waves script is designed for traders who seek to blend simplicity with complexity in their trading strategies. By leveraging multiple Simple Moving Averages (SMAs) weighted by Fibonacci numbers, this indicator provides a nuanced view of price action, allowing traders to capture essential market dynamics while filtering out unnecessary noise.
Key Features
1. Multiple Simple Moving Averages (SMA)
- The indicator employs a series of SMAs to represent both short-term and long-term trends, providing a comprehensive view of market sentiment.
- Each SMA helps identify critical price levels that serve as support and resistance, particularly the purple Fibonacci SMA, which can be pivotal for limit entries. Traders positioned at this level can initiate stop-loss hunts at the institutional level, potentially achieving risk-reward ratios exceeding 30.
2. Fibonacci Weighting
- By applying Fibonacci principles to the SMAs, the indicator enhances adaptability to market conditions.
- This unique approach allows traders to pinpoint significant support and resistance levels within Fibonacci layers, enabling them to anticipate market movements effectively.
3. Dynamic Support and Resistance Levels
- The SMA Fibonacci Rainbow Waves indicator identifies key price levels that act as support and resistance based on Fibonacci layers.
- For instance, on the hourly chart, these levels function as reliable zones for traders to watch for potential reversals, while on the 15-minute chart, a consolidation within the rainbow pocket followed by expansion can signal lucrative trading opportunities.
4. Visual Clarity with Color Coding
- Each SMA is assigned a distinct color, making it easy to differentiate between the various levels on the chart.
- Fills between SMAs visually represent zones of confluence, enhancing the analysis of potential trading opportunities.
Signal Generation and Alerts
- The indicator generates buy and sell signals based on the interactions of the SMAs, providing clear entry and exit points.
- Customizable alerts notify traders of significant market changes, allowing for timely reactions to evolving conditions.
Benefits
1. Simplified Trading Approach
- Traders can focus on significant market trends without distraction, enhancing decision-making efficiency and reducing emotional trading.
2. Flexibility Across Timeframes
- The indicator operates effectively across multiple timeframes, allowing traders to apply its principles in various scenarios, from scalping to longer-term strategies.
3. Enhanced Market Insights
- The combination of multiple SMAs and Fibonacci weighting offers a comprehensive view of market trends, helping traders identify lucrative opportunities that may be overlooked.
4. Bridging Simplicity and Complexity
- This indicator elegantly addresses the contradictions in trading psychology, allowing traders to maintain clarity while navigating complex market dynamics.
Conclusion
The SMA Fibonacci Rainbow Waves script is an essential tool for traders seeking to streamline their analysis while effectively capturing market movements. By integrating Fibonacci principles with multiple SMAs, this indicator empowers traders to follow trends confidently. Its design makes it invaluable for both novice and experienced traders, revealing entry points often missed by traditional indicators.
Open Source Collaboration
This script is available as an open-source project on TradingView, inviting contributions from the global trading community to enhance its functionality. Collaboration ensures it remains a valuable resource for market participants.
Important Note
As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always prepare for potential market fluctuations.
Keltner Channel Strategy by Kevin DaveyKeltner Channel Strategy Description
The Keltner Channel Strategy is a volatility-based trading approach that uses the Keltner Channel, a technical indicator derived from the Exponential Moving Average (EMA) and Average True Range (ATR). The strategy helps identify potential breakout or mean-reversion opportunities in the market by plotting upper and lower bands around a central EMA, with the channel width determined by a multiplier of the ATR.
Components:
1. Exponential Moving Average (EMA):
The EMA smooths price data by placing greater weight on recent prices, allowing traders to track the market’s underlying trend more effectively than a simple moving average (SMA). In this strategy, a 20-period EMA is used as the midline of the Keltner Channel.
2. Average True Range (ATR):
The ATR measures market volatility over a 14-period lookback. By calculating the average of the true ranges (the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close), the ATR captures how much an asset typically moves over a given period.
3. Keltner Channel:
The upper and lower boundaries are set by adding or subtracting 1.5 times the ATR from the EMA. These boundaries create a dynamic range that adjusts with market volatility.
Trading Logic:
• Long Entry Condition: The strategy enters a long position when the closing price falls below the lower Keltner Channel, indicating a potential buying opportunity at a support level.
• Short Entry Condition: The strategy enters a short position when the closing price exceeds the upper Keltner Channel, signaling a potential selling opportunity at a resistance level.
The strategy plots the upper and lower Keltner Channels and the EMA on the chart, providing a visual representation of support and resistance levels based on market volatility.
Scientific Support for Volatility-Based Strategies:
The use of volatility-based indicators like the Keltner Channel is supported by numerous studies on price momentum and volatility trading. Research has shown that breakout strategies, particularly those leveraging volatility bands such as the Keltner Channel or Bollinger Bands, can be effective in capturing trends and reversals in both trending and mean-reverting markets  .
Who is Kevin Davey?
Kevin Davey is a highly respected algorithmic trader, author, and educator, known for his systematic approach to building and optimizing trading strategies. With over 25 years of experience in the markets, Davey has earned a reputation as an expert in quantitative and rule-based trading. He is particularly well-known for winning several World Cup Trading Championships, where he consistently demonstrated high returns with low risk.
WillStop Pro [tradeviZion]WillStop Pro : A Step-by-Step Guide for Beginners to Master Trend Trading
Welcome to an in-depth guide to the WillStop Pro indicator. This article will walk you through the key features, how to use them effectively, and how this tool can help you navigate the markets confidently. WillStop Pro is based on principles established by Larry Williams, a well-known figure in trading, and aims to help you manage trades more effectively without overcomplicating things.
This guide will help you understand the basics of the WillStop Pro indicator, how to interpret its signals, and how to use it step-by-step to manage risk and identify opportunities in your trading journey. We will also cover the underlying logic and calculations for advanced users interested in more details.
What is the WillStop Pro Indicator?
The WillStop Pro indicator is a user-friendly tool that helps traders establish stop levels dynamically. It helps you figure out optimal points to enter or exit trades, while managing risk effectively during changing market conditions. The indicator tracks trending markets and sets price levels as stops for ongoing trades, making it suitable both for deciding when to enter and exit trades.
The indicator is beginner-friendly because it simplifies complex calculations and presents the results visually. This allows traders to focus more on their decision-making process instead of spending time with complex analysis.
WillStop Pro adapts to different market conditions, whether you're trading stocks, forex, commodities, or cryptocurrencies. It adjusts stop levels dynamically based on current market momentum, providing a practical way to manage both risk and reward.
Another significant benefit of WillStop Pro is that it works well with other indicators. Beginners can use it on its own or combine it with other tools like moving averages or oscillators to form a comprehensive trading strategy. Whether you are trading daily or looking at longer-term trends, WillStop Pro helps you manage your trades effectively.
Key Features of WillStop Pro
Dynamic Stop Levels : WillStop Pro calculates real-time stop levels for both long (buy) and short (sell) positions. This helps you protect your profits and reduce risk. The stop levels adjust based on the current market environment, making them more adaptable compared to fixed stop levels.
Advanced Stop Settings : There are optional settings to make the stop calculations more advanced, which take into consideration previous price movements to refine where the stops should be placed. These settings provide more precise control over your trades.
Break Signals and Alerts : The indicator provides visual signals, like arrows, to show when a stop level has been broken. This makes it easier for you to identify possible reversals and understand when the market direction is changing.
Comprehensive Table Display : A small table on the chart shows the current trend, the stop level, and whether advanced mode is active. This simple display provides an overview of the market, making decision-making easier.
Based on Larry Williams' Methodology : WillStop Pro builds upon Larry Williams' ideas, which are designed to capture major market trends while managing risk effectively. It provides a systematic way to follow these strategies without requiring deep technical analysis skills.
How Are Stop Levels Calculated? (For Advanced Users)
The WillStop Pro indicator determines stop levels by evaluating highs, lows, and closing prices over a specific lookback period. It uses this information to identify key points that justify adjusting your stop level, and there are separate approaches for both long and short positions.
Below, we explain the mathematical logic behind the stop calculations, along with some code snippets to give advanced users a clearer understanding.
For Long Stops (buy positions): The indicator looks for the highest closing price within the lookback period and continues until it finds three valid bars that meet certain criteria. Stops are adjusted to skip bars that have consecutive upward closes to ensure that the stop is placed at a level that offers solid support. Specifically, the function iterates over recent bars to determine the highest closing value, and checks for specific conditions before finalizing the stop level. Here is an excerpt of the relevant code:
getTrueLow(idx) => math.min(low , close )
findStopLevels() =>
float highestClose = close
int highestCloseIndex = 0
for i = 0 to lookback
if close > highestClose
highestClose := close
highestCloseIndex := i
// Logic to adjust based on up close skipping
int longCount = 0
int longCurrentIndex = highestCloseIndex
while longCount < 3 and longCurrentIndex < 100
if not isInsideBar(longCurrentIndex)
longCount += 1
longCurrentIndex += 1
// Determine the lowest low for the stop level
float longStopLevel = high * 2
for i = searchIndex to highestCloseIndex
longStopLevel := math.min(longStopLevel, getTrueLow(i))
// Apply offset
longStopLevel := longStopLevel - (offsetTicks * tickSize)
In this code snippet, the function findStopLevels() calculates the long stop level by first identifying the highest close within the lookback period and then finding a suitable support level while skipping certain conditions, such as inside bars or consecutive upward closes. Finally, the user-defined offset ( offsetTicks ) is applied to determine the stop level.
For Short Stops (sell positions): Similarly, the indicator finds the lowest closing price within the lookback period and then identifies three bars that fit the conditions for a short stop. It avoids using bars with consecutive down closes to help find a more robust resistance level. Here's a relevant code snippet:
getTrueHigh(idx) => math.max(high , close )
findStopLevels() =>
float lowestClose = close
int lowestCloseIndex = 0
for i = 0 to lookback
if close < lowestClose
lowestClose := close
lowestCloseIndex := i
// Logic to adjust based on down close skipping
int shortCount = 0
int shortCurrentIndex = lowestCloseIndex
while shortCount < 3 and shortCurrentIndex < 100
if not isInsideBar(shortCurrentIndex)
shortCount += 1
shortCurrentIndex += 1
// Determine the highest high for the stop level
float shortStopLevel = 0
for i = searchIndex to lowestCloseIndex
shortStopLevel := math.max(shortStopLevel, getTrueHigh(i))
// Apply offset
shortStopLevel := shortStopLevel + (offsetTicks * tickSize)
Here, findStopLevels() calculates the short stop level by finding the lowest closing price within the lookback period. It then determines the highest value that acts as a resistance level, excluding bars that do not fit certain criteria.
Volume Confirmation for Alert Accuracy : To further enhance the stop level accuracy, volume is used as a confirmation filter. The average volume (volAvg) is calculated over a 20-period moving average, and alerts are only generated if the volume exceeds a defined threshold (volMultiplier). This ensures that price movements are significant enough to consider as meaningful signals.
volAvg = ta.sma(volume, 20)
isVolumeConfirmed() =>
result = requireVolumeConfirmation ? volume > (volAvg * volMultiplier) : true
result
This additional logic ensures that stop level breaks or adjustments are not triggered during periods of low trading activity, thus enhancing the reliability of the generated signals.
These calculations are at the core of WillStop Pro's ability to determine dynamic stop levels that respond effectively to market movements, helping traders manage risk by placing stops at levels that make sense given historical price and volume data.
How to Identify Opportunities with WillStop Pro
WillStop Pro provides various signals that help you decide when to enter or exit a trade:
When a Stop Level is Broken: If a stop level (support for long positions or resistance for short positions) is broken, it may indicate a reversal. WillStop Pro visually plots arrows whenever a stop level is breached, making it easy for you to see where changes might occur. This feature helps traders identify momentum shifts quickly.
Support and Resistance Levels: The indicator plots support and resistance levels, which show key zones to watch for opportunities. These levels often act as psychological barriers in the market, where price action may either reverse or stall temporarily.
Dynamic State Management: The indicator shifts between long and short states based on price action, providing real-time feedback. This helps traders stick to their trading plan without second-guessing the market.
A major advantage of WillStop Pro is that it responds well to changing market conditions. By identifying when key support or resistance levels break, it allows you to adjust your strategies and react to new opportunities accordingly. Whether the market is trending strongly or staying within a range, WillStop Pro provides valuable information to help guide your trades.
Setting Up Alerts
Alerts are an important feature in trading, especially when you can’t be in front of your charts all the time. WillStop Pro has been enhanced to include flexible alert settings to help you stay on top of your trades without constantly monitoring the charts.
Enable Alerts: There is a master switch to enable or disable all alerts. This way, you can control whether you want to be notified of events at any time.
Alert Frequency: Choose between receiving alerts Once Per Bar or Once Per Bar Close . This helps you manage the frequency of alerts and decide if you need real-time updates or want confirmation after a bar closes.
Break Alerts: These alerts notify you when a stop level has been broken. This can help you catch potential reversals or trading opportunities as soon as they happen.
Strong Break Alerts: Alerts are available for strong breaks, which occur when the price breaks stop levels with confirmation based on additional price, volume, and momentum criteria. These alerts help identify significant shifts in the market.
Level Change Alerts: These alerts tell you whenever a new stop level is calculated, keeping you updated about changes in market dynamics. You can set a Minimum Level Change % to ensure that alerts are only triggered when the stop level changes significantly.
Require Volume Confirmation: You can opt to receive alerts only if the volume is above a certain threshold. This confirmation helps reduce false signals by ensuring that significant price changes are backed by increased trading activity.
Volume Multiplier: The volume multiplier allows you to set a minimum volume requirement that must be met for an alert to trigger. This ensures that alerts are triggered only when there is sufficient trading interest.
Here is a part of the updated alert logic that has been implemented in the indicator:
// Alert on break conditions
if alertsEnabled
if alertOnBreaks
if longStopBroken and isVolumeConfirmed()
alert(createAlertMessage("Support Break - Short Signal", useAdvancedStops), alertFreq)
if shortStopBroken and isVolumeConfirmed()
alert(createAlertMessage("Resistance Break - Long Signal", useAdvancedStops), alertFreq)
// Strong break alerts
if alertOnStrongBreaks
if longStopBroken and isStrongBreak(false)
alert(createAlertMessage("Strong Support Break - Short Signal", useAdvancedStops), alertFreq)
if shortStopBroken and isStrongBreak(true)
alert(createAlertMessage("Strong Resistance Break - Long Signal", useAdvancedStops), alertFreq)
// Level change alerts
if alertOnLevelChanges and isSignificantChange() and isVolumeConfirmed()
alert(createAlertMessage("Significant Level Change", useAdvancedStops), alertFreq)
Setting alerts allows you to react to market changes without having to watch the charts constantly. Alerts are particularly helpful if you have other responsibilities and can’t be actively monitoring your trades all day.
Understanding the Table Display
The WillStop Pro indicator provides a status table that gives an overview of the current market state. Here’s what the table shows:
Indicator Status: The table indicates whether the indicator is in a LONG or SHORT state. This helps you quickly understand the market trend.
Stop Level: The active stop level is shown, whether it is acting as support (long) or resistance (short). This is important for knowing where to set your protective stops.
Mode: The table also displays whether the advanced calculation mode is being used. This keeps you informed about how stop levels are being calculated and why they are positioned where they are.
Empowering Messages: The table also includes motivational messages that rotate periodically, such as 'Trade with Clarity, Stop with Precision' and 'Let Winners Run, Cut Losses Short.' These messages are designed to keep you focused, motivated, and disciplined during your trading journey.
The table is simple and easy to follow, helping you maintain discipline in your trading plan. By having all the essential information in one place, the table reduces the need to make quick, emotional decisions and promotes more thoughtful analysis.
Tips for Using WillStop Pro Effectively
Here are some practical ways to make the most of the WillStop Pro indicator:
Start with Default Settings: If you’re new to the indicator, start with the default settings. This will give you an idea of how stop levels are determined and how they adjust to different markets.
Experiment with Advanced Settings: Once you are comfortable, try using the advanced stop settings to see how they refine the stop levels. This can be useful in certain market conditions to improve accuracy.
Use Alerts to Stay Updated: Set up alerts for when a stop level is broken or when new levels are calculated. This helps you take action without constantly watching the chart. Swing traders may find alerts especially helpful for monitoring longer-term moves.
Monitor the Status Table: Keep an eye on the status table to understand the current market condition. Whether the indicator is in a LONG or SHORT state can help you make more informed decisions.
Focus on Risk Management: WillStop Pro is designed to help you manage risk by dynamically adjusting stop levels. Make sure you are using these levels to protect your trades, especially during strong trends or volatile periods.
Acknowledging Larry Williams' Influence
WillStop Pro is inspired by the work of Larry Williams, who described the approach as one of his best trading techniques. His method aims to ride major market trends while reducing the risk of giving back gains during corrections. WillStop Pro builds upon this approach, adding features like advanced stop settings and visual alerts that make it easier to apply in modern markets.
By using WillStop Pro, you are essentially leveraging a well-established trading strategy with additional tools that help improve its effectiveness. The indicator is designed to provide a reliable way to manage trades, stay on top of market conditions, and reduce emotional decision-making.
Conclusion: Why WillStop Pro is Great for Beginners and Advanced Users
The WillStop Pro is a powerful yet easy-to-use tool that helps traders ride trends while managing risk during market corrections. It can be used both for entering and exiting trades, and its visual features make it accessible for those who are new to trading, while the underlying logic appeals to advanced users seeking greater control and understanding.
WillStop Pro is more than just a tool for setting stops. It is a comprehensive solution for managing trades, with features like dynamic stop levels, customizable alerts, and an easy-to-understand status table. This combination of simplicity and advanced features makes it suitable for beginners as well as more experienced traders.
We hope this guide helps you get started with WillStop Pro and improves your trading confidence. Remember to start with the basics, explore the advanced features, and set alerts to stay informed without getting overwhelmed. Whether you’re just beginning or want to simplify your strategy, WillStop Pro is a valuable tool to have in your trading arsenal.
Trading can be challenging, but the right tools make it more manageable. WillStop Pro helps you keep track of market movements, identify opportunities, and manage risk effectively. Give it a try and see how it can improve your trading decisions and help you navigate the markets more efficiently.
By incorporating WillStop Pro into your strategy, you are following a systematic approach that has been refined over time. It’s designed to help you make sense of the markets, plan your trades, and manage your risks with greater clarity and confidence.
Note: Always practice proper risk management and thoroughly test the indicator to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
Trade smarter with TradeVizion—unlock your trading potential today!
Bollinger Bands Mean Reversion by Kevin Davey Bollinger Bands Mean Reversion Strategy Description
The Bollinger Bands Mean Reversion Strategy is a popular trading approach based on the concept of volatility and market overreaction. The strategy leverages Bollinger Bands, which consist of an upper and lower band plotted around a central moving average, typically using standard deviations to measure volatility. When the price moves beyond these bands, it signals potential overbought or oversold conditions, and the strategy seeks to exploit a reversion back to the mean (the central band).
Strategy Components:
1. Bollinger Bands:
The bands are calculated using a 20-period Simple Moving Average (SMA) and a multiple (usually 2.0) of the standard deviation of the asset’s price over the same period. The upper band represents the SMA plus two standard deviations, while the lower band is the SMA minus two standard deviations. The distance between the bands increases with higher volatility and decreases with lower volatility.
2. Mean Reversion:
Mean reversion theory suggests that, over time, prices tend to move back toward their historical average. In this strategy, a buy signal is triggered when the price falls below the lower Bollinger Band, indicating a potential oversold condition. Conversely, the position is closed when the price rises back above the upper Bollinger Band, signaling an overbought condition.
Entry and Exit Logic:
Buy Condition: The strategy enters a long position when the price closes below the lower Bollinger Band, anticipating a mean reversion to the central band (SMA).
Sell Condition: The long position is exited when the price closes above the upper Bollinger Band, implying that the market is likely overbought and a reversal could occur.
This approach uses mean reversion principles, aiming to capitalize on short-term price extremes and volatility compression, often seen in sideways or non-trending markets. Scientific studies have shown that mean reversion strategies, particularly those based on volatility indicators like Bollinger Bands, can be effective in capturing small but frequent price reversals  .
Scientific Basis for Bollinger Bands:
Bollinger Bands, developed by John Bollinger, are widely regarded in both academic literature and practical trading as an essential tool for volatility analysis and mean reversion strategies. Research has shown that Bollinger Bands effectively identify relative price highs and lows, and can be used to forecast price volatility and detect potential breakouts . Studies in financial markets, such as those by Fernández-Rodríguez et al. (2003), highlight the efficacy of Bollinger Bands in detecting overbought or oversold conditions in various assets .
Who is Kevin Davey?
Kevin Davey is an award-winning algorithmic trader and highly regarded expert in developing and optimizing systematic trading strategies. With over 25 years of experience, Davey gained significant recognition after winning the prestigious World Cup Trading Championships multiple times, where he achieved triple-digit returns with minimal drawdown. His success has made him a key figure in algorithmic trading education, with a focus on disciplined and rule-based trading systems.
Adaptive Fibonacci Trend Ribbon[FibonacciFlux]Adaptive Fibonacci Trend Ribbon (FibonacciFlux)
Overview
The Adaptive Fibonacci Trend Ribbon is a versatile technical analysis tool designed for traders who want to leverage the power of multiple moving averages while integrating Fibonacci numbers. This indicator provides a dynamic visual representation of market trends, enhancing decision-making processes in trading.
Key Features
1. Multi-Moving Averages
- The indicator calculates eight different moving averages based on user-defined periods, including Fibonacci numbers such as 5, 8, 13, 21, 34, 55, 89, and 144.
- Traders can choose from various moving average types, including EMA, HMA, WMA, VWMA, ALMA, SMA, RMA, and TMA , allowing for tailored analysis based on market conditions.
2. Trend Detection
- Each moving average is color-coded based on its trend direction, with green indicating an upward trend and red indicating a downward trend.
- This visual clarity helps traders quickly assess market sentiment and make informed decisions.
3. Fill Areas for Enhanced Insight
- The indicator features fill areas between the moving averages, which dynamically change color according to their relative positions.
- This provides a clear visual cue of trend strength and potential reversal points, allowing traders to identify key areas of interest.
4. Customizable Inputs
- Users can easily adjust the source data, moving average lengths, and ALMA parameters (offset and sigma) to fit their trading strategies.
- This flexibility ensures that traders can adapt the tool to various market conditions and personal preferences.
Insights and Applications
1. Fibonacci Integration
- By incorporating Fibonacci numbers into the moving average periods, this indicator allows traders to align their strategies with key levels of support and resistance.
- This can enhance the accuracy of entry and exit points, particularly in trending markets.
2. Trend Continuation and Reversal Analysis
- The adaptive nature of the moving averages provides insights into potential trend continuations or reversals.
- Traders can use the indicator to identify when to enter or exit positions based on the interaction between the moving averages.
3. Visual Clarity for Quick Decisions
- The color-coded moving averages and fill areas offer immediate visual feedback on market conditions, helping traders react swiftly to changing dynamics.
- This is especially useful in fast-moving markets where timely decisions are critical.
Conclusion
The Adaptive Fibonacci Trend Ribbon is an essential tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with Fibonacci integration and dynamic visual cues, this indicator offers a robust framework for understanding market trends. Its flexibility and clarity make it an invaluable asset for both novice and experienced traders alike.
Open Source Contribution
This indicator is open source, inviting contributions and improvements from the trading community. Feel free to fork, enhance, and share your insights with the world, helping to foster a collaborative environment for traders everywhere.
MTF EHMA & HMA Insights [FibonacciFlux]MTF EHMA & HMA Insights
Overview
The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a powerful technical analysis tool designed for traders seeking to enhance their market insights and decision-making processes. By integrating two advanced moving averages—Exponential Hull Moving Average (EHMA) and Hull Moving Average (HMA)—along with a dynamic midline, this indicator provides a comprehensive view of market trends across multiple timeframes.
Key Features
1. Dual Moving Averages
- Exponential Hull Moving Average (EHMA) :
- Offers a rapid response to price changes, making it particularly useful for identifying short-term trends.
- Utilizes a unique calculation method that reduces lag, allowing traders to react quickly to market movements.
- Hull Moving Average (HMA) :
- Known for its smoothness and ability to filter out noise, the HMA presents a clear picture of the underlying trend.
- The HMA is specifically designed to achieve a balance between responsiveness and smoothness, enabling traders to make informed decisions.
2. Midline Calculation
- Dynamic Midline (m) :
- The midline is calculated as the average of EHMA and HMA, providing a neutral reference point for evaluating price movements.
- It visually represents market sentiment; a rising midline suggests bullish conditions, while a declining midline indicates bearish trends.
3. Visual Components
- Fill Areas :
- Color-coded fills between the EHMA and HMA enhance visual clarity by indicating the relative position of these moving averages.
- The fill color dynamically changes based on the relationship between the two averages (green for EHMA below HMA and red for EHMA above HMA), allowing traders to quickly assess market conditions.
4. Signal Generation and Alerts
- Buy/Sell Signals :
- The indicator generates buy signals when the midline crosses above its previous value, indicating a potential upward trend.
- Conversely, sell signals are triggered when the midline crosses below its previous value, suggesting a possible downward movement.
- Alert Conditions :
- Built-in alerts notify traders in real-time when significant changes occur, allowing them to act swiftly on potential trading opportunities.
- Customizable alert messages ensure traders receive relevant information tailored to their strategies.
Technical Details
Input Parameters
- Timeframe Settings :
- Traders can customize the timeframes for both EHMA and HMA, enabling them to adapt the indicator to different trading styles and market conditions.
- Length Settings :
- Adjustable lengths for both moving averages impact their sensitivity, allowing traders to optimize their performance based on volatility and market dynamics.
Plotting and Visualization
- Plotting :
- The script plots the EHMA, HMA, and midline directly on the chart for easy visualization.
- Signal labels (BUY and SELL) are displayed prominently, helping traders to identify potential entry and exit points without ambiguity.
Benefits
1. Clarity and Insight
- The combination of EHMA, HMA, and midline provides a clear and concise visual representation of market trends, aiding traders in making informed decisions.
2. Flexibility
- Customizable parameters allow traders to tailor the indicator to their specific needs, making it suitable for various market conditions and trading styles.
3. Efficiency
- Real-time alerts and visual signals minimize response times, enabling traders to capitalize on opportunities as they arise.
4. Enhanced Trading Conditions
- When utilizing the Fibonacci number 144 on a daily chart, the indicator facilitates optimal trading conditions:
- "The entry was made before the bubble began, using 144 as the Fibonacci variable."
- "The exit occurred right before the bubble burst, or alternatively, a short position was initiated."
- "When the next bubble started, a long entry was made again."
- "Despite some lag, the position was exited and a long entry was made."
- "The exit or short entry took place at the second double top peak."
- "A short position was already established before the double top formation occurred."
- On a 4-hour chart, traders can effectively set stop losses at HMA levels, achieving a risk-reward ratio between 4 and 8.
- Additionally, analyzing the 15-minute chart with a multi-timeframe approach allows for more precise entry points.
Conclusion
The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a robust tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with a dynamic midline and alert system, this indicator offers a comprehensive approach to understanding market trends. Its flexibility, clarity, and efficiency make it an invaluable asset for both novice and experienced traders alike.
Important Note
As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
VWAP2 --ClaireIndicator Release Notes
I am excited to introduce a powerful multi-timeframe Volume Weighted Average Price (VWAP) indicator. This tool helps traders analyze market trends and identify key support and resistance levels across various timeframes. Below are the main features and usage guidelines for this indicator:
Key Features
Open Price for Each Timeframe
The "Open" option represents the opening price for each specific timeframe, such as daily, weekly, monthly, etc.
Previous vs. Current Levels
Levels prefixed with 'P' (e.g., pwval) are calculated for the previous period, while those without 'P' (e.g., wval) represent the current period. For instance, pwval is the VWAP-calculated Value Area Low (VAL) for the previous week, whereas wval applies to the current week.
VWAP Calculation Standards
VWAP can be calculated using a standard deviation (S) or a percentage (P). The "Multiplier" indicates how many standard deviations are applied, with a default setting of S (standard deviation) and a multiplier of 1.
Data Source Default
The default data source for calculations is hlc3, which is the average of high, low, and close prices. This can be adjusted if needed.
Merge Function
The Merge option visually groups data that is closely aligned within a specified range, allowing for a clearer representation of critical price levels.
Viewing Recommendations
When analyzing higher dimensions, it is recommended to enable Quarter (Q) and Year (Y) settings to identify important price levels near the current price. For detailed attention, you can disable levels that are significantly distant from the current price.
Data Limitations
Free TradingView accounts can pull data from up to 20,000 candles. This means the indicator is most accurate and comprehensive on 1-hour and 4-hour timeframes, given these data constraints.
Usage Guidelines
Trend Analysis: Utilize VWAP and bands across different timeframes to identify market trend continuations or reversals.
Support and Resistance Identification: Use the calculated upper and lower bands as potential support or resistance levels to optimize entry and exit points in your trading.
Combined Application: It is recommended to use this indicator alongside other technical analysis tools to improve the accuracy of your analysis and the reliability of your trading decisions.
I believe this versatile and highly customizable VWAP indicator will become an essential part of your trading toolkit, helping you to better understand market dynamics and make more precise trading decisions.
Statistical ArbitrageThe Statistical Arbitrage Strategy, also known as pairs trading, is a quantitative trading method that capitalizes on price discrepancies between two correlated assets. The strategy assumes that over time, the prices of these two assets will revert to their historical relationship. The core idea is to take advantage of mean reversion, a principle suggesting that asset prices will revert to their long-term average after deviating significantly.
Strategy Mechanics:
1. Selection of Correlated Assets:
• The strategy focuses on two historically correlated assets (e.g., equity index futures like Dow Jones Mini and S&P 500 Mini). These assets tend to move in the same direction due to similar underlying fundamentals, such as overall market conditions. By tracking their relative prices, the strategy seeks to exploit temporary mispricings.
2. Spread Calculation:
• The spread is the difference between the prices of the two assets. This spread represents the relationship between the assets and serves as the basis for determining when to enter or exit trades.
3. Mean and Standard Deviation:
• The historical average (mean) of the spread is calculated using a Simple Moving Average (SMA) over a chosen period. The strategy also computes the standard deviation (volatility) of the spread, which measures how far the spread has deviated from the mean over time. This allows the strategy to define statistically significant price deviations.
4. Entry Signal (Mean Reversion):
• A buy signal is triggered when the spread falls below the mean by a multiple (e.g., two) of the standard deviation. This indicates that one asset is temporarily undervalued relative to the other, and the strategy expects the spread to revert to its mean, generating profits as the prices converge.
5. Exit Signal:
• The strategy exits the trade when the spread reverts to the mean. At this point, the mispricing has been corrected, and the profit from the mean reversion is realized.
Academic Support:
Statistical arbitrage has been widely studied in finance and economics. Gatev, Goetzmann, and Rouwenhorst’s (2006) landmark study on pairs trading demonstrated that this strategy could generate excess returns in equity markets. Their research found that by focusing on historically correlated stocks, traders could identify pricing anomalies and profit from their eventual correction.
Additionally, Avellaneda and Lee (2010) explored statistical arbitrage in different asset classes and found that exploiting deviations in price relationships can offer a robust, market-neutral trading strategy. In these studies, the strategy’s success hinges on the stability of the relationship between the assets and the timely execution of trades when deviations occur.
Risks of Statistical Arbitrage:
1. Correlation Breakdown:
• One of the primary risks is the breakdown of correlation between the two assets. Statistical arbitrage assumes that the historical relationship between the assets will hold in the future. However, market conditions, company fundamentals, or external shocks (e.g., macroeconomic changes) can cause these assets to deviate permanently, leading to potential losses.
• For instance, if two equity indices historically move together but experience divergent economic conditions or policy changes, their prices may no longer revert to the expected mean.
2. Execution Risk:
• This strategy relies on efficient execution and tight spreads. In volatile or illiquid markets, the actual price at which trades are executed may differ significantly from expected prices, leading to slippage and reduced profits.
3. Market Risk:
• Although statistical arbitrage is designed to be market-neutral (i.e., not dependent on the overall market direction), it is not entirely risk-free. Systematic market shocks, such as financial crises or sudden shifts in market sentiment, can affect both assets simultaneously, causing the spread to widen rather than revert to the mean.
4. Model Risk:
• The assumptions underlying the strategy, particularly regarding mean reversion, may not always hold true. The model assumes that asset prices will return to their historical averages within a certain timeframe, but the timing and magnitude of mean reversion can be uncertain. Misestimating this timeframe can lead to extended drawdowns or unrealized losses.
5. Overfitting:
• Over-reliance on historical data to fine-tune the strategy parameters (e.g., the lookback period or standard deviation thresholds) may result in overfitting. This means that the strategy works well on past data but fails to perform in live markets due to changing conditions.
Conclusion:
The Statistical Arbitrage Strategy offers a systematic and quantitative approach to trading that capitalizes on temporary price inefficiencies between correlated assets. It has been proven to generate returns in academic studies and is widely used by hedge funds and institutional traders for its market-neutral characteristics. However, traders must be aware of the inherent risks, including correlation breakdown, execution risks, and the potential for prolonged deviations from the mean. Effective risk management, diversification, and constant monitoring are essential for successfully implementing this strategy in live markets.
DualTrend [CHE]DualTrend Indicator for TradingView
Overview
Introducing the DualTrend indicator, a powerful tool designed to enhance your trading strategies on TradingView. Inspired by the renowned HalfTrend Indicator developed by everget, DualTrend combines dual amplitude settings to provide clearer trend signals and more precise entry and exit points. Whether you're a beginner or an experienced trader, this indicator is crafted to assist you in making informed trading decisions with greater confidence.
Key Features
- Dual Amplitude Settings
- Fast Amplitude: Configurable to quickly respond to market changes, ideal for short-term trading.
- Slow Amplitude: Smoother and less sensitive, perfect for identifying long-term trends.
- Channel Deviation Control
- Customize the channel deviation to adjust the sensitivity of the trend lines based on market volatility.
- Visual Trade Signals
- Buy Signals: Indicated by green upward-pointing triangles below the price bars.
- Sell Signals: Indicated by red downward-pointing triangles above the price bars.
- Easily distinguishable signals to streamline your trading decisions.
- Customizable Alerts
- Set up alerts for buy and sell signals to stay informed in real-time, ensuring you never miss an opportunity.
- Clear Trend Lines
- Fast HalfTrend Line: Plotted in blue for quick trend identification.
- Slow HalfTrend Line: Plotted in orange for long-term trend analysis.
- User-Friendly Inputs
- Adjustable parameters to tailor the indicator to your specific trading style and market conditions.
How It Works
The DualTrend indicator calculates two HalfTrend lines based on different amplitude settings—Fast and Slow. These lines represent potential support and resistance levels derived from the average true range (ATR) and simple moving averages (SMA).
- Trend Detection:
- When the Fast HalfTrend line crosses above the Slow HalfTrend line, a Buy Signal is generated.
- Conversely, when the Fast HalfTrend line crosses below the Slow HalfTrend line, a Sell Signal is triggered.
- Adaptive Channels:
- The indicator dynamically adjusts the channels around the trend lines using ATR-based deviations, providing a responsive measure to market volatility.
Why Choose DualTrend ?
- Inspired by Excellence: Built upon the foundational principles of the HalfTrend Indicator by everget, DualTrend offers enhanced functionality and flexibility.
- Versatile Application: Suitable for various financial instruments, including stocks, forex, commodities, and cryptocurrencies.
- Educational Purpose: Designed to help traders understand and implement trend-following strategies effectively.
Disclaimer
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Installation & Usage
1. Add to TradingView:
- Copy the provided Pine Script code.
- Open TradingView and navigate to the Pine Script editor.
- Paste the code and save the script as "DualTrend ".
- Add the indicator to your chart.
2. Customize Settings:
- Adjust the Fast Amplitude and Slow Amplitude to match your trading preferences.
- Modify the Channel Deviation to control the sensitivity of the trend lines.
- Toggle Show Arrows to display or hide buy/sell signals.
3. Set Up Alerts:
- Configure alerts based on the buy and sell signals to receive real-time notifications.
Conclusion
Elevate your trading strategy with the DualTrend indicator. Leveraging the proven methodology of the HalfTrend Indicator by everget, this tool offers dual trend analysis, customizable settings, and clear visual signals to help you navigate the markets with precision. Whether you're aiming to capture short-term movements or identify long-term trends, DualTrend is your reliable companion on TradingView.
Happy Trading!
Best regards
Chervolino
This indicator is inspired by the well-known Everget HalfTrend:
Prometheus Fractal-Based TrendThe Fractal-Based Trend indicator is a tool that uses fractals to try and detect which direction an underlying will continue to go.
Calculation:
A bullish fractal occurs when the current bar's high is lower than the previous bar high, and the previous bar's high is higher than both the high from two bars ago and the high from three bars ago.
A bearish fractal happens when the current bar's low is higher than the previous bar's low, and the previous bar's low is lower than both the low from two bars ago and the low from three bars ago.
When a bullish or bearish fractal forms, the corresponding value stored is the previous bar high for a bearish fractal or the previous bar's low for a bullish fractal.
The trade scenarios are when these fractals occur, a green or red label being plotted on the chart for whatever direction it predicts.
Trade examples:
We see on this daily chart of AMEX:SPY that the fractals represent the potential for a directional trade that can last a few days. The more volatile a chart is the more of these fractals we can see.
We see on this 5 minute chart for NASDAQ:TSLA there is way more activity, there are more sporadic candles on a lower time frame, so we can see more anomalies in the price action.
We see this to be true for BITSTAMP:BTCUSD even on a daily time frame, since it is very volatile. There are a lot of these labels plotted.
This is the perspective we aim to provide. We encourage traders to not follow indicators blindly. No indicator is 100% accurate. This one can give you a different perspective of price strength with volatility. We encourage any comments about desired updates or criticism!
