[DarkTrader] Harmonic SNRThe Harmonic SNR indicator identifies key price levels (pivots) based on harmonic swings and highlights these levels as potential support and resistance zones. It works by analyzing price swings on two different timeframes simultaneously and compares the resulting pivot points to find matching levels between the timeframes.
Once the matching levels are identified, the script filters out the ones that are too close to each other based on a user-defined minimum distance. This helps in displaying only the most relevant levels on the chart. The valid levels are then sorted and plotted as lines on the chart to provide visual reference points for potential support and resistance areas. These harmonic levels can help traders identify key price zones where the market may react or reverse.
The difference between Harmonic SNR algorithm and traditional Classic Support and Resistance (SNR) lies in the methodology of identifying key price levels, the comparison of timeframes, and the way the levels are filtered and plotted.
1. Method of Calculation
Classic SNR :
Support and resistance levels are often identified based on historical price highs and lows, psychological round numbers, or areas where price has reversed multiple times in the past.
This approach is more static and often relies on manual identification or simple horizontal lines that mark historical levels.
Harmonic SNR :
This indicator uses pivot highs and lows from harmonic swings based on a defined swing period. It calculates swing points programmatically (using pivot calculations) and identifies key price levels algorithmically.
It compares pivot points across two different timeframes (intraday and a higher timeframe) to filter out important price levels, providing a more dynamic and multi-timeframe perspective.
2. Multi-Timeframe Comparison
Classic SNR :
Classic SNR typically focuses on one timeframe and doesn’t involve comparing key levels across different timeframes.
It marks levels purely based on historical price behavior within the single timeframe of analysis.
Harmonic SNR :
This algorithm compares price swings from two different timeframes (e.g., intraday and daily or higher timeframes). Only levels that appear in both timeframes are considered valid.
This makes the harmonic SNR more selective, filtering out weaker levels and highlighting only those that are significant on both timeframes.
3. Dynamic Filtering and Distance Control
Classic SNR :
Traditional SNR does not typically involve filtering based on the distance between levels. It can plot multiple levels even if they are very close to each other, which can clutter the chart.
Harmonic SNR :
This script introduces a filtering mechanism based on a user-defined minimum distance between two levels. If two levels are too close to each other (within a specified threshold), one is excluded to avoid redundancy.
This distance control adds an additional layer of precision to your SNR levels, making them more reliable by avoiding over-clustered levels.
Indicator In Use :
By using harmonic swing points, this indicator indirectly reflects harmonic price movement, which is rooted in the natural oscillation of the market. This gives your SNR levels a dynamic, harmonic-based foundation.
Trend Analysis
Dynamic Jurik RSX w/ Fisher Transform█ Introduction
The Dynamic Jurik RSX with Fisher Transform is a powerful and adaptive momentum indicator designed for traders who seek a non-laggy view of price movements. This script is based on the classic Jurik RSX (Relative Strength Index). It also includes features such as the dynamic overbought and oversold limits, the Inverse Fisher Transform, trend display, slope calculations, and the ability to color extremes for better clarity.
█ Key Features:
• RSX: The Relative Strength Index (RSX) in this script is based on Jurik’s RSX, which is smoother than the traditional RSI and aims to reduce noise and lag. This script calculates the RSX using an exponential smoothing technique and adaptive adjustments.
• Inverse Fisher Transform: This script can optionally apply the Inverse Fisher Transform to the RSX, which helps to normalize the RSX values, compressing them between -1 and 1. The inverse transformation makes it easier to spot extreme values (overbought and oversold conditions) by enhancing the visual clarity of those extremes. It also smooths the curve over a user-defined period in hopes of providing a more consistent signal.
• Dynamic Limits: The dynamic overbought and oversold limits are calculated based on the RSX's recent high and low values. The limits adjust dynamically depending on market conditions, making them more relevant to current price action.
• Slope Display: The slope of the RSX is calculated as the rate of change between the current and previous RSX value. The slope is displayed as dots when the slope exceeds the threshold designated by the user, providing visual cues for momentum shifts.
• Trend Coloring: Optionally, the user can also enable a trend-based display. It is simply based on current value of RSX versus the previous one. If RSX is rising then the trend is bullish, if not, then the trend is bearish.
• Coloring Extremes: Users can configure the RSX to color the chart when prices enter extreme conditions, such as overbought or oversold zones, providing visual cues for market reversals.
█ Attached Chart Notes:
• Top Panel: Enabled dynamic limits, Trend display, standard Jurik RSX with 20 lookback period, and Slope display.
• Middle Panel: Enabled dynamic limits, Extremes display, and standard Jurik RSX with 20 lookback period.
• Bottom Panel: Enabled dynamic limits, Trend display, Inverse Fisher Transform with 14 lookback period and 9 smoothing period. and Slope display.
█ Credits:
Special thanks to Everget for providing the original script. The script was also slightly modified based on updates from outside sources.
█ Disclaimer:
This script is for educational purposes only and should not be considered financial advice. Always conduct your own research and consult a professional before making any trading decisions.
VWAP Periodic Close [LuxAlgo]The VWAP Periodic Close script offers an advanced tool for analyzing the Volume Weighted Average Price (VWAP) across various timeframes.
This tool enables traders to visualize VWAP close levels for daily, weekly, monthly, quarterly, and yearly periods, offering a comprehensive view of price behavior across different time frames. It helps in identifying key levels where the VWAP closes at the end of each specified period.
🔶 USAGE
This script is designed to enhance your trading strategy by plotting VWAP close levels on your chart for different time periods. This helps traders easily identify historical VWAP levels and analyze price action relative to these levels, particularly useful for identifying key support and resistance levels providing insights into potential future price behavior.
Supports VWAP closes for multiple timeframes, including historical periods (e.g., 3 months back, 3 quarters back, 3 years back). The labels provide context and detailed information about the VWAP close at a specific point in time and enhance the clarity and usefulness of the VWAP data presented on the chart.
Users can toggle the display of VWAP lines for different periods and customize the colors for each timeframe (e.g., distinct colors for monthly, quarterly, and yearly closes).
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 Volume Weighted Average Price (VWAP)
VWAP Close Level: Toggle the display of VWAP levels at the end of each period (daily, weekly, monthly, quarterly, yearly).
VWAP Origin: Toggle the display of the VWAP line for each period.
VWAP Source: Choose the data source for VWAP calculations (default is HLC3).
Historical Closes: Define the number of historical VWAP levels to plot.
Line/Label Offset: Adjust the offset for positioning lines and labels on the chart.
🔹 Themes
Theme Selection: Choose between "Day," "Night," or "Custom" themes to adjust the color scheme of VWAP lines and labels.
Smart Signals Assistant [AlgoAlpha]Introduction
The Smart Signals Assistant, developed by AlgoAlpha, is a robust trading tool designed to empower traders of all levels with a flexible, customizable overlay indicator. Built on proprietary logic, this tool can integrate seamlessly with other indicators or be used as a standalone tool and offers powerful market insights, enabling users to tailor their trading strategy by combining different components for unique strategies. Whether you focus on trend-following or mean-reversion strategies, the Smart Signals Assistant is optimized to support you across various market conditions.
Core Features
1. Trend Cipher Component (Trend Identification and Bar Coloring):
The Trend Cipher is the core feature of the Smart Signals Assistant. It offers an intuitive method to detect trends by displaying clear visual signals, such as arrows ("▲" for bullish trends and "▼" for bearish trends). Additionally, signal strength indications are also included where the arrows will have a '+' sign to signify a strong trend, a strong signal is determined when the volatility of prices are increasing. the candlesticks are color-coded to reflect market conditions—green for bullish, red for bearish, and gray when the market is ranging, ranging markets are marked when the prices end up retracing in the opposite direction after a signal is sent, indicating that buyers/sellers are not ready to continue the trend yet. These added layers of confluence allows users to judge if signals provided by the Trend Cipher are high probability signals.
- Exit Signals : "X" marks indicate potential take-profit points when momentum is waning. Users can set a maximum number of exit signals, allowing for greater control over trade management and predictable exit strategies.
- Customization : Users can adjust the period length for the Trend Cipher to suit different market conditions and strategies. For example, a shorter period is more sensitive and responsive to quick shifts in trends, while a longer period offers more stable signals for long-term traders.(longer periods shown below)
2. Trend Bias Component (Long-term Trend Filter and Confirmation):
The Trend Bias acts as a trend confirmation tool. It comes in the form of a smooth band that reflects the central tendency of price movements. It provides a more comprehensive view of whether the price is trend up or down, as well as whether the price is trending strongly or not. It does so by checking if the current momentum of price is stronger relative to the average momentum over a period of time.
As mentioned earlier, the Trend Bias can also act as a marker of central tendency, meaning that users can use the Trend Bias as a dynamic take-profit zone when executing reversal trades.
- When aligned with the Trend Cipher, the Trend Bias helps traders differentiate between strong and weak trends. Bright colors signify a robust trend, while subdued colors signal weakening momentum. This helps users avoid false signals and enter high-probability trades.
3. Fair Value Trail (Entry Optimization):
The Fair Value Trail is a zone-based component that helps users capture optimal entry points, such as when the market is overbought or oversold. By waiting for price retracements into the Fair Value Trail, traders can achieve better pricing and potentially maximize their profits. The Fair Value Trail is unique in the sense that it dynamically adjusts its width according to the market volatility so that the optimal entry area remains as relevant.
- This feature works in conjunction with the Trend Cipher by allowing users to wait for retracement before entering the trade, thus improving their risk-reward ratio.
4. Trend Spine (Range Detection and Filter):
The Trend Spine helps identify periods of price consolidation by flattening the price action into a rigid line. This helps traders avoid entering trades in choppy or directionless markets. The Trend Spine’s values remain unchanged during consolidations, alerting users when to refrain from trading due to a lack of trend direction.
- This feature integrates with other components, providing clearer signals for trading in trending markets while filtering out trades in ranging or consolidating markets.
5. Firmament Cloud (Reversal Zones):
The Firmament Cloud defines zones on the price chart that are considered extreme, indicating overbought or oversold conditions. Price reaching these zones suggests potential reversal points, giving traders additional confirmation to enter or exit trades. The separation of the upper and lower clouds as well of the width of each respective cloud are dynamically adjusted based on the aggressiveness of price movements coupled with user defined settings for some base parameters such as multipliers for separation and width.
- This component works well for traders using a mean-reversion strategy or those looking for early exits during overextended price movements.
Usage and Customization
The Smart Signals Assistant offers a flexible interface, making it simple to adjust settings such as indicator lengths, noise reduction factors, and display options. Key components, such as the Trend Cipher, Trend Bias, and Fair Value Trail, are highly customizable, allowing traders to create a unique trading system tailored to their specific needs. Tooltips accompany most inputs to help users quickly understand how to adjust the tool effectively.
Combining Components for Synergy
1. Trend Cipher and Trend Bias:
By combining the Trend Cipher with the Trend Bias, users receive both short-term and long-term trend confirmations. A bullish signal from the Trend Cipher, when aligned with an upward-trending Trend Bias, significantly enhances the likelihood of a profitable trade, minimizing the chances of acting on premature signals.
2. Fair Value Trail for Entry Optimization:
Rather than immediately acting on a Trend Cipher signal, users can wait for the price to enter the Fair Value Trail. This strategy ensures better entries at premium or discounted prices, maximizing potential returns.
3. Trend Spine for Range Detection:
The Trend Spine works alongside the Trend Cipher to keep traders out of consolidating markets. When the Trend Spine remains flat, it signals a ranging market, advising users to avoid trades during such periods.
4. Firmament Cloud for Reversal Points:
The Firmament Cloud identifies extreme market conditions, marking zones where traders should be cautious about entering trades. When combined with Trend Cipher signals, this component helps users pinpoint overbought or oversold markets, allowing for strategic entries and exits.
Conclusion
The Smart Signals Assistant is more than just a collection of individual indicators. It offers a comprehensive, multi-layered system that provides a deeper understanding of market dynamics, ranging from trend detection to reversal opportunities. The flexibility in customizing its various components allows traders to craft a strategy suited to their style, whether they prefer trend-following or mean-reversion methods. With this tool, traders can enhance decision-making, optimize entries and exits, and navigate both trending and ranging markets more effectively.
Dynamic ALMA with signalsEnhanced ALMA with Signals
This TradingView indicator is designed to enhance your trading strategy by utilizing the Arnaud Legoux Moving Average (ALMA), a unique moving average that provides smoother price action while minimizing lag. The script not only plots the ALMA line but also dynamically adjusts its parameters based on market volatility to adapt to different trading conditions. Additionally, it highlights potential bounce points off the line, as well as breakout points, giving traders clear signals for potential support, resistance levels, and breakouts.
Key Features:
Dynamic ALMA Line with Glow Effect:
The core of this indicator is the ALMA line, which is dynamically adjusted to market volatility, providing more accurate signals in varying conditions. The line adapts to both trending and consolidating markets by adjusting its sensitivity in real time. A glow effect is created by plotting the ALMA line multiple times with increasing transparency, making it visually distinct.
Bounce Detection Signals with Volatility Filter:
The script detects and labels potential support and resistance bounces based on the crossover and crossunder of the price with the ALMA line, further filtered by a volatility condition. This helps in filtering out false signals during low-volatility conditions, making the signals more reliable.
Visual Enhancements:
Custom glow effects and labels for bounce detection enhance chart readability and help traders quickly identify key levels.
Inputs:
Base Window Size: Sets the number of bars used in calculating the ALMA, allowing traders to adjust the sensitivity of the moving average. This parameter is dynamically adjusted based on current market volatility.
Offset: Determines the position of the ALMA curve. Higher values move the curve further away from the price. This value remains constant for stability.
Sigma: Controls the smoothness of the ALMA curve; a higher sigma results in a smoother curve. This value also remains constant.
ATR Period and Threshold Multiplier: Used to calculate the Average True Range (ATR) for the volatility filter, which determines whether the market conditions are sufficiently volatile to consider bounce signals.
How It Works:
Dynamic ALMA Calculation:
The script calculates the ALMA (Arnaud Legoux Moving Average) using the ta.alma function, dynamically adjusting the window size based on market volatility measured by the ATR (Average True Range). This ensures that the ALMA line remains responsive in high-volatility environments and smooth in low-volatility conditions.
Glow Effect:
To create a glow effect around the ALMA line, the script plots the ALMA multiple times with varying degrees of transparency. This visual enhancement helps the ALMA line stand out on the chart.
Bounce Detection with Volatility Filter:
The script uses two conditions to detect potential bounces:
Support Bounce: Detected when the low of the bar crosses above the ALMA line (ta.crossover(low, alma)) and the close is above the ALMA, while the volatility filter confirms sufficient market activity. This suggests potential support at the ALMA line.
Resistance Bounce: Detected when the high of the bar crosses below the ALMA line (ta.crossunder(high, alma)) and the close is below the ALMA, while the volatility filter confirms sufficient market activity. This indicates potential resistance at the ALMA line.
Labeling Bounce Points:
When a bounce is detected, the script labels it on the chart:
Support Bounces (S): Labeled with a blue "S" below the bar where a support bounce is detected.
Resistance Bounces (R): Labeled with a white "R" above the bar where a resistance bounce is detected.
Usage:
This enhanced indicator helps traders visualize key support and resistance levels more effectively by dynamically adjusting the ALMA moving average to market conditions. By detecting and labeling potential bounce points and filtering these signals based on volatility, traders can better identify entry and exit points in their trading strategy. The dynamic adjustments and visual enhancements make it easier to spot critical levels quickly and adapt to changing market conditions.
Customize the inputs to fit your trading style, and use this enhanced ALMA indicator to gain a more refined understanding of market trends, potential reversals, and breakouts.
Relative Strength and MomentumRelative Strength and Momentum Indicator
Unlock deeper market insights with the Relative Strength and Momentum Indicator—a powerful tool designed to help traders and investors identify the strongest stocks and sectors based on relative performance. This custom indicator displays essential information on relative strength and momentum for up to 15 different symbols, compared against a benchmark index, all within a clear and organized table format.
Key Features:
1. Customizable Inputs: Choose up to 15 symbols to compare, along with a benchmark index, allowing you to tailor the indicator to your trading strategy. The 'Lookback Period' input defines how many weeks of data are analyzed for relative strength and momentum.
2. Relative Strength Calculation: For each selected symbol, the indicator calculates the Relative Strength (RS) against the chosen benchmark. This RS is further refined using an exponential moving average (EMA) to smooth the results, providing a more stable trend overview.
3. Momentum Analysis: Momentum is determined by analyzing the rate of change in relative strength. The indicator calculates a momentum rank for each symbol, based on its relative strength’s improvement or deterioration.
4. Percentile Ranking System: Each symbol is assigned a percentile rank (from 1 to 100) based on its relative strength compared to the others. Similarly, momentum rankings are also assigned from 1 to 100, offering a clear understanding of which assets are outperforming or underperforming.
5. Visual Indicators:
a. Green: Signals improving or stable relative strength and momentum.
b. Red: Indicates declining relative strength or momentum.
c. Aqua: Highlights symbols performing well on both relative strength and momentum—ideal candidates for further analysis.
6. Two Clear Tables:
a. Relative Strength Rank Table: Displays weekly rankings of relative strength for each symbol.
b. Momentum Table: Shows momentum trends, helping you identify which symbols are gaining or losing strength.
7. Color-Coded for Easy Analysis: The tables are color-coded to make analysis quick and straightforward. A green color means the symbol is performing well in terms of relative strength or momentum, while red indicates weaker performance. Aqua marks symbols that are excelling in both areas.
Use Case:
a. Sector Comparison: Identify which sectors or indexes are showing both relative strength and momentum to pick high-potential stocks. This allows you to align with broader market trends for improved trade entries.
b. Stock Selection: Quickly compare symbols within the same sector to find the stronger performers.
[ROC3] Rate of Change Candle ColorROC is a statistical indicator which tracks how much a security's price has changed over a certain period, showing whether momentum is picking up or slowing down. It’s a handy tool because it helps traders spot trend changes and understand how strong a trend is.
My ROC3 indicator will color the candlesticks based on the Rate of Change (ROC) and its Exponential Moving Average (EMA). This indicator helps traders visually identify bullish and bearish trends by applying color to the candles, making it easier to spot momentum shifts and trend changes.
How It Works:
Rate of Change (ROC): Calculates the percentage change in the price over a specified number of bars. This indicator measures the speed at which price changes.
EMA of ROC: Applies an Exponential Moving Average to the ROC values to provide a smoothed benchmark. The EMA helps to reduce noise and make trend identification more reliable.
Coloring Logic:
Bullish Candles (Green): When the current ROC is higher than the EMA of the ROC.
Bearish Candles (Red): When the current ROC is lower than the EMA of the ROC.
Settings:
ROC Length (Default: 60): The number of bars used to calculate the Rate of Change. Adjust this parameter to change the sensitivity of the ROC calculation.
ROC EMA Length (Default: 7): The number of bars used to calculate the Exponential Moving Average of the ROC. This length determines how smooth the EMA is. A shorter length reacts faster to price changes, while a longer length provides a smoother, slower response.
How to Use:
Apply the Indicator: Add the Rate of Change Candle Color indicator to your TradingView chart.
Interpret the Colors:
Green Candles: Indicate bullish momentum. The current ROC is greater than its EMA, suggesting upward pressure.
Red Candles: Indicate bearish momentum. The current ROC is less than its EMA, suggesting downward pressure.
Adjust Settings: Customize the ROC Length and ROC EMA Length based on your trading strategy. Shorter ROC lengths may capture more short-term trends, while longer lengths provide a broader view.
Combine with Other Indicators: Use the in conjunction with other technical indicators or chart patterns to enhance your trading analysis.
Example Use Case:
Trend Confirmation: Use the color changes to confirm bullish or bearish trends. Green candles can confirm uptrends, while red candles may signal downtrends or potential reversals.
Momentum Analysis: Monitor how frequently the ROC crosses above or below its EMA to gauge momentum strength and make informed trading decisions.
Note:
This indicator is designed to assist with trend analysis and should be used as part of a broader trading strategy. Always conduct your own research and analysis before making trading decisions.
Cherio...
RSI TreeRSI Tree is a simple way to compare the strength of several different instruments against each other.
The default is to compare MSFT, NVDA, TSLA, GOOG, META, AMZN, AAPL and NASDAQ. You could do the same for currency pairs and any other instruments available in Trading View. However, it makes the most sense to compare seven instruments to an eighth underlying instrument. As you can see in the default values, we included the NASDAQ as the eighth instrument since the other seven are part of the NASDAQ composite index. If you were to trade major currency pairs, then your eighth instrument would most likely be the U.S. Dollar (DXY).
The chart setup is important as well. You need to split your chart horizontally into 4 plots. Each plot would be at a different timing interval. The example shows 4 hr, 1 hr, 15 min and 5 min (left to right) charts. Now not only can we compare the instruments against each other, but we can do it across time to get an idea of the motion of each instrument.
Note, the instrument used on the chart is somewhat important. If the chart is set to a currency pair, but you have the RSI Tree setup for equities (as in the default) then you will get some odd behavior due to the times when these are open. Equities are 0930 to 1600 EST, whereas something like a currency would be open 24 hours a day.
Layout for default settings: www.tradingview.com
Bugs?
Kindly report any issues and I'll try to fix them promptly.
Thank you!
Lsma ATR | viResearchLsma ATR | viResearch
Conceptual Foundation and Innovation
The "Lsma ATR" indicator from viResearch combines the power of the Least Squares Moving Average (LSMA) with the Average True Range (ATR) to offer traders a dynamic approach to trend analysis and volatility management. The LSMA is highly regarded for its ability to fit a linear regression line to price data, providing a smooth and precise trend line with minimal lag. When paired with the ATR, which measures market volatility, this indicator not only tracks trend direction but also adapts to changes in volatility. The integration of both elements allows traders to identify potential trend reversals and assess the strength of trends in the context of market volatility. This combination makes the "Lsma ATR" a versatile tool for following trends while managing risk, as it responds quickly to changes in price direction while accounting for shifts in market volatility.
Technical Composition and Calculation
The "Lsma ATR" script consists of two primary components: the Least Squares Moving Average (LSMA) and the Average True Range (ATR). The LSMA is calculated over a user-defined length, providing a smoothed representation of the market trend based on linear regression. The ATR, also user-defined, is used to measure market volatility by calculating the average range between high and low prices over a specified period. By adding and subtracting the ATR from the LSMA, the indicator creates upper and lower boundaries that help define the market's current volatility-adjusted range. The script monitors for price crossovers with these boundaries to generate trend signals. When the price crosses above the upper boundary, it signals a potential upward trend. Conversely, when the price crosses below the lower boundary, it signals a possible downward trend. These boundaries dynamically adjust based on volatility, providing more accurate signals as market conditions change.
Features and User Inputs
The "Lsma ATR" script offers several customizable inputs, allowing traders to fine-tune the indicator to their trading preferences. The LSMA Length controls the lookback period for the LSMA, determining how smooth or responsive the trend line is. The ATR Length defines the period used for calculating the average volatility, affecting the width of the volatility-adjusted range. Additionally, the indicator includes alert conditions that notify traders when a trend shift occurs, either to the upside or downside.
Practical Applications
The "Lsma ATR" indicator is designed for traders who want to follow market trends while accounting for changes in volatility. The LSMA provides a clear, smoothed trend line that helps identify the direction of the market, while the ATR adjusts the boundaries based on the current volatility level. This combination makes the indicator particularly effective for detecting trend reversals, as the LSMA tracks the overall trend direction and price crossovers with the ATR boundaries provide early signals of potential trend changes. It also helps manage risk by understanding market volatility, allowing traders to adjust their strategies based on the strength of price movements. The indicator improves trend-following strategies by combining LSMA’s trend detection with ATR’s volatility adjustment, offering a nuanced approach in various market conditions.
Advantages and Strategic Value
The "Lsma ATR" script offers significant value by integrating the precision of the LSMA with the adaptability of the ATR. This dual approach allows traders to reduce noise in price data while responding to changes in volatility, leading to more accurate trend signals. The volatility-adjusted boundaries provide a dynamic range that helps traders avoid false signals and stay aligned with stronger trends. This makes the "Lsma ATR" an ideal tool for traders seeking to enhance their trend-following strategies while accounting for market volatility.
Alerts and Visual Cues
The script includes alert conditions that notify traders when the price crosses the ATR boundaries, signaling a potential trend change. The "Lsma ATR Long" alert is triggered when the price crosses above the upper boundary, indicating a potential upward trend, while the "Lsma ATR Short" alert signals a possible downward trend when the price crosses below the lower boundary. Visual cues, such as changes in the color of the LSMA line and shaded areas between the ATR boundaries, help traders quickly identify these trend shifts.
Summary and Usage Tips
The "Lsma ATR | viResearch" indicator combines the smoothing benefits of the LSMA with the volatility sensitivity of the ATR, providing traders with a robust tool for trend detection and volatility management. By incorporating this script into your trading strategy, you can improve your ability to detect trend reversals, confirm trend direction, and manage risk by adjusting to market volatility. The "Lsma ATR" offers a reliable and customizable solution for traders looking to enhance their technical analysis in both trending and volatile market environments.
Note: Backtests are based on past results and are not indicative of future performance.
Double Ribbon [ChartPrime]The Double Ribbon - ChartPrime indicator is a powerful tool that combines two sets of Simple Moving Averages (SMAs) into a visually intuitive ribbon, which helps traders assess market trends and momentum. This indicator features two distinct ribbons: one with a fixed length but changing offset (displayed in gray) and another with varying lengths (displayed in colors). The relationship between these ribbons forms the basis of a trend score, which is visualized as an oscillator. This comprehensive approach provides traders with a clear view of market direction and strength.
◆ KEY FEATURES
Dual Ribbon Visualization : Displays two sets of 11 SMAs—one in a neutral gray color with a fixed length but varying offset, and another in vibrant colors with lengths that increase incrementally.
Trend Score Calculation : The trend score is derived from comparing each SMA in the colored ribbon with its corresponding SMA in the gray ribbon. If a colored SMA is above its gray counterpart, a positive score is added; if below, a negative score is assigned.
// Loop to calculate SMAs and update the score based on their relationships
for i = 0 to length
// Calculate SMA with increasing lengths
sma = ta.sma(src, len + 1 + i)
// Update score based on comparison of primary SMA with current SMA
if sma1 < sma
score += 1
else
score -= 1
// Store calculated SMAs in the arrays
sma_array.push(sma)
sma_array1.push(sma1 )
Dynamic Trend Analysis : The score oscillator provides a dynamic analysis of the trend, allowing traders to quickly gauge market conditions and potential reversals.
Customizable Ribbon Display : Users can toggle the display of the ribbon for a cleaner chart view, focusing solely on the trend score if desired.
◆ USAGE
Trend Confirmation : Use the position and color of the ribbon to confirm the current market trend. When the colored ribbon consistently stays above the gray ribbon, it indicates a strong uptrend, and vice versa for a downtrend.
Momentum Assessment : The score oscillator provides insight into the strength of the current trend. Higher scores suggest stronger trends, while lower scores may indicate weakening momentum or a potential reversal.
Strategic Entry/Exit Points : Consider using crossovers between the ribbons and changes in the score oscillator to identify potential entry or exit points in trades.
⯁ USER INPUTS
Length : Sets the base length for the primary SMAs in the ribbons.
Source : Determines the price data used for calculating the SMAs (e.g., close, open).
Ribbon Display Toggle : Allows users to show or hide the ribbon on the chart, focusing on either the ribbon, the trend score, or both.
⯁ CONCLUSION
The Double Ribbon indicator offers traders a comprehensive tool for analyzing market trends and momentum. By combining two ribbons with varying SMA lengths and offsets, it provides a clear visual representation of market conditions. The trend score oscillator enhances this analysis by quantifying trend strength, making it easier for traders to identify potential trading opportunities and manage risk effectively.
DW - Ứng dụng lý thuyết DOWỨng dụng Lý thuyết DOW trong mua và bán
Tôi đã set up
MSB - đỏ : Break để GIẢM
MSB - xanh : Break để TĂNG
Gaussian Filter [BigBeluga]The Gaussian Filter - BigBeluga indicator is a trend-following tool that uses a Gaussian filter to smooth price data and identify directional shifts in the market. It provides dynamic signals for entering and exiting trades based on trend changes, helping traders stay aligned with the market's momentum. What sets this indicator apart is its ability to display precise entry and exit points with real-time tracking of percentage price changes, making it ideal for trend-based strategies.
SP500:
NIFTY50:
🔵 KEY FEATURES & USAGE
◉ Gaussian Filter Trend Line:
//@function GaussianFilter is used for smoothing, reducing noise, and computing derivatives of data.
//@param src (float) The source data (e.g., close price) to be smoothed.
//@param params (GaussianFilterParams) Gaussian filter parameters that include length and sigma.
//@returns (float) The smoothed value from the Gaussian filter.
gaussian_filter(float src, params) =>
var float weights = array.new_float(params.length) // Array to store Gaussian weights
total = 0.0
pi = math.pi
for i = 0 to params.length - 1
weight = math.exp(-0.5 * math.pow((i - params.length / 2) / params.sigma, 2.0))
/ math.sqrt(params.sigma * 2.0 * pi)
weights.set(i, weight)
total := total + weight
for i = 0 to params.length - 1
weights.set(i, weights.get(i) / total)
sum = 0.0
for i = 0 to params.length - 1
sum := sum + src * weights.get(i)
sum
The core functionality of the Gaussian Filter line is to show trend direction. When the trend line increases four times consecutively, it indicates an uptrend signal. Similarly, if it decreases four times in a row, it signals a downtrend. The smoothness of the filter helps traders stay on the right side of the market by filtering out noise and emphasizing the dominant trend direction.
◉ Entry and Exit Levels with Real-Time Price and Performance Data:
Each time the indicator detects a trend change, it plots an entry or exit level on the chart. For an uptrend, an entry level is marked, and for a downtrend, an exit level is plotted. These levels display the price at the time of the signal.
While the trend is ongoing, the indicator tracks the percentage change in price from the initial entry or exit signal to the current bar, updating in real-time. When a trend concludes, it displays the total percentage change from the entry or exit point to the trend's end. This feature provides valuable insights into how much the price has moved during each trend phase and allows traders to monitor the performance of each trade.
◉ Color-Coded Candlestick Representation with Trend Shift Alerts:
In addition to coloring the candlesticks based on the trend direction, the indicator also uses gray candles to highlight potential early trend shifts. For example, if the Gaussian Filter detects a downtrend but the price moves above the filter line, the candles turn gray, signaling a possible reversal or shift in momentum. Similarly, in an uptrend, if the price moves below the Gaussian Filter line, the candles turn gray as an early indication of potential bearish momentum. This visual cue helps traders stay alert to possible faster shifts in market direction, allowing for quicker decision-making.
🔵 CUSTOMIZATION
Length and Sigma for Gaussian Filter:
Adjust the length and sigma parameters to control how the Gaussian Filter smooths the price data. A longer length provides smoother trend lines, while adjusting sigma can fine-tune the level of smoothing applied.
Levels Display and Candle Coloring:
You can toggle the visibility of entry and exit levels as well as enable or disable the dynamic coloring of candlesticks based on the trend direction. The additional gray color setting provides an extra layer of information, allowing you to spot potential trend reversals early.
🔵 CONCLUSION
The Gaussian Filter indicator is a powerful tool for identifying and following market trends. By providing clear entry and exit signals, along with real-time tracking of price changes, it gives traders a structured way to manage trades and monitor performance. The color-coded candles, including gray to highlight possible trend shifts, add another dimension to visualizing market dynamics. The added flexibility of customizing colors and trend levels makes it a versatile indicator suitable for both trend-following and reversal strategies.
Stock Strength IndexScript Title: Stock Strength Index made by Vishal R Janjire
Description:
The Stock Strength Index combines several advanced technical analysis tools into one comprehensive Pine Script indicator designed to provide a nuanced view of market strength and trends. This script integrates Relative Strength (RS), Commodity Channel Index (CCI), and additional trend confirmation mechanisms to deliver actionable insights for traders.
( Must Read )
Important parameter read before use this indicator
0. Zero line green means stock is in up trend and if it is red means down trending.
1. Zero line is green it means stocks is outperforming its index that is Nifty 50 ( but dont consider its results on nifty itself that is it will not work only on nifty 50)
2. Zero line is red it means stocks is underperforming its index that is Nifty 50
3. bubble is confirmation tool when it show green bubble on zero line it means on short time frame it want go up trending and vise versa
4. Always remember higher time frame is greater than chart time frame like day vs hour
Key Features:
5. Best suitable time when higher time frame is 15 minutes and chart time is 5 minute for intraday trading. for short swing use HTF 1 Day and chart time is 1 hour or 2 hour.
1. Relative Strength (RS) Analysis:
- Calculation: Measures the performance of the base symbol relative to a comparative symbol over a specified period.
- Visualization: Plots the RS value with color-coded lines to indicate bullish (green) or bearish (red) conditions based on crossovers. Users can toggle the RS color based on its value or trend direction.
- Trend Analysis: Displays a simple moving average (SMA) of RS to visualize trend strength and direction. The SMA’s color changes to indicate rising or falling trends.
2. Commodity Channel Index (CCI):
- Current Timeframe CCI: Calculates the CCI for the current timeframe to assess price momentum.
- Higher Timeframe CCI: Computes the CCI for a higher timeframe to provide a broader market perspective.
- Background Color: Highlights the chart background in green or red based on whether both current and higher timeframe CCIs are above or below zero, respectively.
3. Alerts:
- CCI Alerts: Set up alerts for key CCI crossovers, including when both CCIs are above or below zero, or when CCI crosses key levels (100 and -100) on either timeframe.
4. Trend Confirmation:
- Price Confirmation: Uses price and its moving average to identify bullish or bearish divergence, with visual bubbles plotted on the chart to confirm potential trade signals.
5. Customization Options:
- RS Parameters: Adjust settings for RS period, comparative symbol, and whether to display reference labels or the zero line.
- CCI Parameters: Configure CCI lengths for both current and higher timeframes and select the source of the CCI calculation.
Concepts Underlying Calculations:
- Relative Strength (RS): Measures the relative performance of the base symbol compared to another symbol, adjusted over a specified period to capture momentum and trend strength.
- Commodity Channel Index (CCI): Calculates the deviation of the price from its average to identify overbought or oversold conditions and potential reversal points.
- Simple Moving Average (SMA): Smooths the RS values to highlight trends and potential trend reversals.
This indicator is designed for traders seeking a comprehensive tool that combines multiple analytical methods into one cohesive system. It aims to offer a clearer view of market trends, strengths, and potential trade opportunities based on a blend of relative strength and momentum indicators.
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This description provides a detailed overview of the script's functionality and customization options while ensuring clarity and compliance with the publishing rules.
Rational Qaudratic Kernel Elder Force Index Introduction:
The Rational Quadratic Kernel Elder Force Index is a versatile and mathematically sophisticated technical indicator that enhances the traditional Elder Force Index (EFI) by applying a rational quadratic kernel smoothing technique. This advanced regression method is designed to provide traders with a more adaptive and accurate tool for measuring the strength behind price movements, incorporating the influence of volume. This indicator does not predict future price movements, but it offers a clearer view of market dynamics through its advanced smoothing mechanism.
Key Features:
Elder Force Index Foundation:
The core of this indicator is built on the Elder Force Index, a popular tool developed by Dr. Alexander Elder. The EFI is a momentum indicator that calculates the strength of price movements by combining both price change and volume.
Rational Quadratic Kernel Smoothing: The indicator incorporates a rational quadratic kernel for smoothing, providing traders with a more refined view of price action trends. This kernel is highly adjustable based on user inputs, allowing for flexible tuning to suit individual strategies.
Adaptive Time Frame Weighting:
Through the adjustable parameter Relative Weighting (r), traders can modify the influence of different time frames. Lower values give more weight to longer time frames, while higher values make the behavior resemble that of a Gaussian kernel.
Dynamic Visualization:
The indicator visually displays the smoothed force index as a color-coded line. It dynamically changes color based on market conditions—green when the smoothed force index is positive and red when it is negative—providing a clear and easy-to-read signal for traders.
How It Works:
The Elder Force Index is calculated by multiplying the price change between two bars with the volume of the current bar.
A rational quadratic kernel regression is applied to this raw EFI data. The smoothing process provides a more stable and reliable signal by reducing noise, particularly in volatile markets.
The user-defined parameters, such as the length of the smoothing window and the relative weighting factor, allow traders to customize the indicator to suit their specific trading style or asset class.
User Inputs:
Length:
Sets the smoothing window for the kernel regression. A longer length results in more significant smoothing.
Relative Weighting (r):
Controls the influence of different time frames in the smoothing process. A smaller value emphasizes longer-term data, while a higher value makes it behave more like a traditional Gaussian kernel.
Source:
Select the price source (default is the closing price) for the calculations.
[DarkTrader] 3 Candle EG ZoneThe 3 Candle EG Zone indicator identifies engulfing patterns and plots dynamic boxes around these zones. The engulfing patterns are key reversal signals where one candle's body completely engulfs the body of the previous candle, indicating a shift in market sentiment. This indicator identifies both bullish and bearish engulfing patterns and draws visual boxes around them, which extend to the right on the chart to show how the zones evolve over time.
EG Calculation by @moamenmostafa Script.
Indicator In Use :
Customization Parameters :
Max EG Box Showing: Defines the maximum number of engulfing (EG) boxes that can be displayed on the chart simultaneously. This helps to limit chart clutter by ensuring that only a specified number of zones are visible.
Pivot EG Box Offset: Sets how far to extend the engulfing box to the right from the current candle. This makes the box continue into future price action, highlighting the significance of the engulfing zone.
Zone Color: Customizes the color and transparency of the engulfing zone box, allowing users to set their preferred color to differentiate bullish and bearish zones.
Bullish Engulfing (Bullish EG):
The code checks if the last three candles have been bearish (open higher than close), and then the current candle is bullish (close higher than open) with a strong upward move. Additionally, the bullish candle must engulf the previous bearish candle, indicating a potential upward reversal. If this condition is true, a box is drawn around the low and high of the last candle.
Bearish Engulfing (Bearish EG):
Similarly, the code checks for three consecutive bullish candles (open lower than close), followed by a bearish candle (open higher than close) that engulfs the previous bullish candle. This signifies a possible downward reversal, and a box is drawn around the last candle's range.
The script continuously checks for bullish or bearish engulfing patterns and dynamically draws boxes around those zones. The boxes remain visible as long as the price stays within the engulfing zone's range. If the price exceeds the zone, the box is deleted, ensuring that only valid and current zones are shown on the chart.
[DarkTrader] Strong High LowThe Strong High Low indicator calculates strong high and low pivots based on price action and the Average True Range (ATR). The calculation for both the high and low pivots involves analyzing recent candle behavior to identify significant levels where price reversal is likely. Specifically, it looks for consecutive bearish or bullish candles to determine whether a strong high or low has been established.
Indicator In Use :
For strong highs, the indicator checks if three consecutive candles are bearish, meaning their closing price is lower than their opening price. It further examines prior candles to confirm that they followed a specific pattern where a reversal could occur. If one of these earlier candles closed higher than it opened, the indicator assumes that this was a strong high, and it records either the high of the second or third candle from the pattern, depending on their relationship to each other.
Similarly, for strong lows, the indicator searches for three consecutive bullish candles where the close is higher than the open. The algorithm then reviews prior candles in the sequence to ensure that the market condition supports a potential low pivot. If an earlier candle closes lower than it opens, it marks this as a strong low. The final low point for the pivot is chosen based on a comparison between the second and third candles of the pattern.
Once the high and low pivots are determined, the indicator adjusts these levels using the ATR value. The ATR is added to the strong high pivot and subtracted from the strong low pivot to create slightly modified levels. This helps accommodate market volatility by widening the range of the high and low pivots, making the levels more reliable in reflecting potential reversal zones.
Finally, the strong high and low pivot lines are drawn on the chart, extending both to the left and right of the current price, based on the user-defined offset values. These lines give a visual cue of where key resistance and support levels exist, with labels marking the exact pivot values for easy reference.
TradeCreator Pro - Moving Averages, RSI, Volume, Trends, Levels█ Overview
TradeCreator Pro is designed to help you build successful trades by streamlining the processes of trade planning, evaluation, and execution. With a focus on data accuracy, speed, precision, and ease of use, this all-in-one tool assists in identifying optimal entry and exit points, calculating risk/reward ratios, and executing trades efficiently. Whether you’re a beginner or an experienced trader, TradeCreator Pro empowers you to make informed, data-driven decisions with real-time signals and fully customizable settings.
█ Key Benefits & Use Cases
TradeCreator Pro is designed to help you effortlessly discover profitable trades by evaluating and testing multiple setups across different assets and timeframes. Key use cases include:
Quick Strategy Testing: Rapidly test multiple setups and strategies, gaining immediate insights into their potential outcomes.
Risk/Reward Evaluation: Quickly identify which trade ideas are worth pursuing based on their profitability and associated risk.
Multi-Timeframe Testing: Seamlessly test the same trading setup across various timeframes and tickers.
Backtesting: Analyze the historical performance of specific setups to gauge their effectiveness.
Key Level Identification: Instantly spot critical support and resistance levels, improving your decision-making process.
Custom Alerts: Set personalized notifications for key levels, ensuring timely action on potential trade opportunities.
█ Core Features
Dashboard: A real-time view of critical metrics such as trend strength, support/resistance levels, volume profiles, RSI divergence, and trade scoring. Designed to provide a comprehensive snapshot of your trading environment and potential trading outcome.
Trend Analysis: Detect prevailing trends by analyzing multiple moving averages, support/resistance zones, volume profile and linear regressions for RSI and closing prices.
Support & Resistance Identification: Automatically identify support and resistance levels.
Volume Profile: Visualize volume profile and its point of control across support/resistance ranges, helping you spot key consolidation areas.
RSI & Price Divergence Detection: Identify potential divergences between RSI and price through linear regressions, providing valuable trade signals.
Risk Management Tools: Set equity loss levels based on specified leverage, allowing you to manage risk effectively for both long and short trades.
Entry & Exit Recommendations: Identify multiple options for optimal entry and exit levels based on current market conditions.
Trade Scoring: Score each trade setup on a 0-100 scale, factoring in potential ROI, ROE, P&L, and Risk-Reward Ratios to ensure high-quality trade execution.
Dynamic Execution & Monitoring: Benefit from multi-stage exit strategies, dynamic trailing stop losses, and the ability to backtest setups with historical data.
Alerts & Automation: Customize alerts for key market movements and opt for manual or automated trading through TradingView’s supported partners.
█ How to Use
Installation: Add TradeCreator Pro to your TradingView chart.
Trend Adjustment: The system automatically detects the current market trend, but you can fine-tune all trend detection parameters as needed.
Trading Parameter Configuration: Customize entry, exit, profitability, and risk-reward settings to match your trading style.
Entry and Exit Level Refinement: Use the automated suggestions, or choose from conceptual or arbitrary levels for greater control.
Stop Loss and Profit Target Fine-Tuning: Apply the system’s recommendations or adjust them by selecting from multiple available options.
Backtest Setup: Run the backtester to analyze past performance and assess how the strategy would have performed historically.
Set Alerts: Stay informed by setting alerts to notify you when a trade setup is triggered.
█ Notes
The first time you apply the indicator to a chart, it may take a few moments to compile. If it takes too long, switch timeframes temporarily to restart the process.
█ Risk Disclaimer
Trading in financial markets involves significant risk and is not suitable for all investors. The use of TradeCreator Pro, as well as any other tools provided by AlgoTrader Pro, is purely for informational and educational purposes. These tools are not intended to provide financial advice, and past performance is not indicative of future results. It is essential to do your own research, practice proper risk management, and consult with a licensed financial advisor before making any trading decisions. AlgoTrader Pro is not responsible for any financial losses you may incur through the use of these tools.
Volume Adjusted CandlesTraditional candlestick charts are invaluable for visualizing price movements over time. However, they often lack an explicit representation of trading volume, a key factor that can significantly influence price action. Our Volume Adjusted Candles Indicator fills this gap by incorporating volume directly into the candlesticks, allowing for a more comprehensive analysis.
How Candles are Calculated
Each candlestick in this indicator is adjusted based on the volume of trades that occurred during its timeframe. The process involves segmenting the price range of the trading session into equal parts, known as 'bins'. Each bin represents a segment of the price range, and the volume of trades within each bin influences the final shape and position of the candlestick.
The Formula: The volume adjusted position of each part of the candle (high, low, and close) is calculated using a weighted average formula where each price point is weighted by the volume of trades at that price. This results in a volume-weighted price for each segment of the candle, making it easy to see where the most trading activity occurred and how it impacted price movements.
DILM TRADING - Market Sentiment and FibonacciDILM TRADING - Market Sentiment and Fibonacci
Overview
The DILM TRADING - Market Sentiment and Fibonacci indicator is designed to provide traders with a comprehensive view of market trends and potential trading opportunities. By combining several popular technical indicators such as the SuperTrend, Fibonacci levels, and multiple sentiment indicators, this tool offers a deep analysis of market dynamics. Each component has been carefully selected to work in harmony, providing users with reliable entry and exit signals and helping them navigate volatile markets.
Why This Combination?
This indicator brings together different elements with specific purposes:
SuperTrend: A trend-following indicator that helps identify the market's current direction and acts as a dynamic stop-loss tool.
Fibonacci Levels: Known for pinpointing potential market reversal points, these levels provide crucial support and resistance areas for traders to set stop-losses and take-profits.
Sentiment Indicators: Tools like RSI, MACD, and Ichimoku are combined to gauge market momentum, allowing traders to assess whether a market is overbought or oversold, and whether the current trend is strong enough to continue or reverse.
The combination of these indicators gives traders a complete framework for analyzing the market: trend direction, market sentiment, and key price levels. Each of these elements works in tandem to provide signals that are both timely and accurate.
Key Features
SuperTrend
Based on the Average True Range (ATR), the SuperTrend indicator is an excellent way to determine the current trend. If the price is above the SuperTrend line, it suggests an uptrend, whereas if the price is below it, a downtrend is indicated. It is also a highly effective tool for setting trailing stop-losses, thereby improving risk management.
Fibonacci Levels
The script automatically calculates Fibonacci retracement levels based on the highest and lowest points within a specific timeframe. These levels are essential for identifying potential reversal zones, key areas for stop-losses, and take-profit levels. The levels adjust according to the prevailing trend, making them a dynamic and responsive tool for any market condition.
Sentiment Indicators
This section integrates multiple sentiment indicators to give a holistic view of market direction:
Ichimoku Cloud: Measures the strength of trends and identifies potential reversal zones using clouds (Kumo).
OBV (On-Balance Volume): Tracks volume changes to confirm the direction of price movements.
CMF (Chaikin Money Flow): Monitors the money flow to identify buying or selling pressure.
RSI (Relative Strength Index): Highlights overbought or oversold conditions, signaling potential trend reversals.
MACD: A reliable tool for identifying bullish and bearish crossovers.
ADX (Average Directional Index): Determines the strength of the prevailing trend, helping to confirm whether it's likely to continue or weaken.
Volatility Filter
The ATR (Average True Range) acts as a filter to identify periods of high or low volatility, helping traders to adapt their strategies to the current market environment. High volatility suggests larger price swings, potentially offering better trading opportunities, while low volatility indicates consolidation or range-bound conditions.
Order Blocks
The script visually identifies bullish and bearish order blocks on the chart. These zones represent areas where significant buying or selling occurred, making them crucial for spotting potential breakout or reversal points.
How to Use
Entry/Exit: Fibonacci levels (50% or 61.8%) serve as potential entry points, while the 0% and 100% levels can be used to set take-profit and stop-loss levels.
Sentiment Analysis: The overall market sentiment is derived from the combination of Ichimoku, OBV, CMF, RSI, ADX, and other tools, helping traders make informed decisions on whether to buy or sell.
Risk Management: Use SuperTrend and Fibonacci levels to set precise stop-loss points and improve risk management.
New Feature: Moving Average and RSI Confirmation
A recent addition allows users to calculate two moving averages (short and long) and the RSI on a timeframe of their choice. An entry signal is generated when the short moving average crosses above the long, and the RSI is below a specific threshold. Conversely, a sell signal is displayed when the short moving average crosses below the long, and the RSI is above a defined level.
Limitations
This indicator may be less effective during periods of low volatility or range-bound markets. It's important to use this tool in conjunction with other analysis techniques, as relying on a single indicator could lead to false signals.
DILM TRADING - Sentiment de marché et Fibonacci
Vue d'ensemble
L'indicateur DILM TRADING - Sentiment de marché et Fibonacci a été conçu pour offrir une vue d'ensemble des tendances du marché et des opportunités de trading potentielles. En combinant plusieurs indicateurs techniques populaires, tels que le SuperTrend, les niveaux de Fibonacci, et divers indicateurs de sentiment, cet outil fournit une analyse complète des dynamiques du marché. Chaque composant a été soigneusement sélectionné pour fonctionner ensemble, offrant des signaux d'entrée et de sortie fiables.
Pourquoi cette combinaison ?
Cette combinaison d'indicateurs permet de fournir un cadre complet pour analyser le marché. Le SuperTrend permet d'identifier la tendance, tandis que les niveaux de Fibonacci aident à déterminer les zones de retournement clés. Les indicateurs de sentiment, comme le RSI et le MACD, ajoutent une dimension supplémentaire en mesurant la force et la direction du marché.
Caractéristiques clés et Utilisation
SuperTrend : Indique la tendance actuelle et propose des niveaux de stop-loss dynamiques.
Niveaux de Fibonacci : Utilisés pour repérer des points de retournement potentiels et définir des niveaux de stop-loss et de take-profit.
Indicateurs de Sentiment : Outils comme l'Ichimoku, le RSI, et l'ADX fournissent une analyse globale du marché, permettant de prendre des décisions éclairées.
Nouvelle fonctionnalité : Confirmation des Moyennes Mobiles et RSI
Cette fonctionnalité permet d'utiliser deux moyennes mobiles et le RSI pour générer des signaux d'achat et de vente basés sur les croisements et les niveaux de surachat/survente du RSI.
Conclusion
Le DILM TRADING - Sentiment de marché et Fibonacci est un outil puissant et polyvalent, conçu pour les traders cherchant à affiner leurs stratégies grâce à une analyse complète des tendances et du sentiment du marché.
[DarkTrader] Intersection Level & PredictionLinear Regression Function Reference by @RicardoSantos :
The Intersection Level Calculation process identifies critical price levels where significant market reactions are expected. It starts by analyzing historical price action and technical indicators to pinpoint key support and resistance levels.
Price Forecast Min represents the predicted lowest price level that the asset might reach, while Price Forecast Max indicates the anticipated highest price level. These projections are calculated using statistical methods and historical price patterns, allowing traders to anticipate potential support and resistance zones. By providing these forecasts, traders can better manage their risk and set more informed entry and exit points based on projected price movements.
Example Of Prediction (Before & After)
Predicting Future Price Movements :
Once the intersection levels are identified, the indicator uses various predictive models to forecast what price might do next when it approaches these levels. Here’s a breakdown of how it achieves this :
Price Reaction Analysis: The indicator assesses how price has historically reacted to similar intersection levels. For instance, if price has reversed from a certain support level multiple times, the indicator can predict a potential reversal or bounce when price approaches that level again.
Trend Continuation or Reversal: It examines the strength of the current trend by analyzing momentum indicators, volume, and the angle or direction of trendlines. Based on this, it can predict whether price is likely to break through an intersection level, signaling trend continuation, or bounce off it, indicating a potential reversal.
Confluence of Factors: The prediction mechanism becomes more accurate when multiple factors converge at the same intersection level. For example, if a trendline, moving average, and support zone all intersect at the same price point, the indicator predicts a stronger likelihood of significant price movement.
Market Volatility and Momentum: The indicator also considers current market volatility and momentum in its prediction. For example, if price approaches an intersection level with high momentum, it might predict a breakout, whereas low momentum might suggest consolidation or a weaker price reaction.
In this indicator, I utilize Linear Regression to forecast price movements by analyzing historical data trends. Linear Regression involves fitting a straight line to past price data, enabling me to model and project future price levels based on identified trends. This method calculates a trend line that best represents the historical price behavior, providing a foundation for predicting future price points. By extending this trend line, I can estimate where prices might move, incorporating a range to account for potential deviations. This approach helps in identifying both minimum and maximum forecasted prices, offering valuable insights into potential market directions.
[DarkTrader] Liquidity Regression MapLinear Regression Function Reference by @RicardoSantos :
Liquidity Regression Map is an advanced indicator designed to assist traders in identifying key liquidity zones, reversals, and potential breakout areas within the market. By visualizing liquidity shifts and regression patterns, this tool provides a powerful visual guide to price movements that often go unnoticed by conventional indicators. The indicator's dynamic and adaptive approach helps traders better navigate complex market environments.
Purpose :
This indicator focuses on analyzing the behavior of liquidity in the market and mapping it out in a visual format on your TradingView charts. It provides a deeper understanding of where large clusters of liquidity exist, helping traders pinpoint potential areas where price is likely to react. It aims to highlight key liquidity zones and assess when price is likely to reverse or continue its trend, providing a comprehensive view of the market's internal structure.
Liquidity Regression Map supports multiple timeframes and multiple assets, providing traders with flexibility to analyze different market conditions. Whether you're analyzing short-term charts for scalping or higher timeframes for swing trades, the indicator adjusts its liquidity and regression calculations accordingly, ensuring accurate insights across all timeframes. Additionally, it is compatible with various asset classes, including stocks, forex, cryptocurrencies, and commodities, allowing you to apply the same powerful liquidity analysis across multiple markets for a unified trading strategy.
How It Works :
The indicator identifies liquidity zones by looking at the highs and lows of recent price action within a user-defined period, known as the lookback period. These zones represent areas where market participants are likely to have placed a significant number of stop orders or large positions, creating pockets of liquidity. The zones are visualized as levels on the chart, showing where the market is likely to react.
Next, the indicator performs a linear regression analysis on the price data. Linear regression helps smooth out the price action and gives an indication of the overall trend within the defined liquidity zone. This analysis is critical for determining the slope and direction of price movement, which provides insights into the market's momentum and strength in these liquidity areas.
A key feature of this indicator is its ability to detect liquidity swipes—sharp moves in price that sweep liquidity levels. When price approaches a liquidity zone and crosses it aggressively, the indicator highlights this as a swipe. Swipes often signal significant price reversals or trend continuation because they indicate that liquidity has been absorbed. The Akastra Liquidity Regression Map highlights these areas, helping traders anticipate where a reversal or continuation may occur.
As new price data comes in, the liquidity zones and regression lines dynamically adjust. This real-time update ensures that traders are always working with the most relevant and up-to-date liquidity information. The indicator recalculates the liquidity levels based on the recent highs and lows and repositions the regression lines accordingly. This makes it adaptive to both short-term volatility and long-term trends.
To make the analysis intuitive and easy to interpret, the liquidity levels are color-coded based on their strength and importance. Liquidity zones are shown using a gradient of colors, from weak liquidity (indicating potential minor reactions) to strong liquidity (where a significant price reaction is more likely). The heatmap visually communicates how liquidity is distributed across different levels and timeframes.
Liquidity Condition Filtering :
Another important aspect of the mechanism is the liquidity condition filtering, which only highlights significant liquidity shifts. The indicator evaluates if price movement meets certain thresholds, such as exceeding a 1.618 threshold for liquidity absorption or rejection . This filtering ensures that only the most relevant and impactful liquidity conditions are displayed, minimizing noise and false signals on the chart.
Finally, the indicator calculates and displays liquidity levels across multiple timeframes simultaneously, providing a more comprehensive view. For example, liquidity from a higher timeframe may interact with liquidity from a lower timeframe, providing traders with an overlapping view of where significant liquidity is concentrated. This multi-layer analysis helps to confirm trading setups and increases the probability of successful trades.
[DarkTrader] Range Level ProbabilityThis indicator calculates and visualizes significant price levels, such as swing highs, swing lows, and mid-price levels, using advanced mathematical functions and statistical methods. It aims to provide traders with insights into potential support and resistance areas by analyzing past price swings and their statistical properties.
Usage :
Identifying Support and Resistance: The projected swing high and swing low levels can act as potential support and resistance zones. Traders can use these levels to anticipate where the price might reverse or experience a pause in its movement.
Trend Analysis: By analyzing the mid-price level and its relationship to the swing high and low, traders can gain insights into the current market trend and potential price direction.
Customizing for Different Periods: Traders can adjust the input parameters, such as the period for calculating the mean and standard deviation, to tailor the indicator to different timeframes and market conditions.
Enhancing Trading Decisions: The indicator provides additional context for trading decisions by combining statistical analysis with visual projections, helping traders make more informed choices and manage risk effectively.
Key Features :
Statistical Analysis: The indicator utilizes statistical techniques to estimate the probability of future price movements. It calculates the likelihood of price reaching certain levels based on historical data, providing a probabilistic view of potential price targets.
Dynamic Range Calculation: It dynamically calculates important price levels based on a defined period. This period is adjustable, allowing traders to customize the indicator to fit different market conditions and trading strategies.
Customizable Appearance: Traders can customize the colors of the projected lines and labels, making it easier to distinguish between different levels and adjust the visual representation to their preferences.
Real-Time Updates: The indicator updates in real time with each new price bar, ensuring that the projected levels reflect the most current market conditions.
The indicator projects key price levels on the chart, including :
Swing High: The highest price level within a specified period.
Swing Low: The lowest price level within the same period.
Mid-Price: The average price between the swing high and swing low.
These levels are drawn as horizontal lines on the chart, extending into the future, which helps traders anticipate potential support and resistance zones.
Supply and Demand Zones
Script Introduction:
I have spent a long time searching for the perfect supply and demand zone indicator, but most of the ones I found were based on lines instead of proper zones, which didn’t quite meet my needs. After much trial and error, I decided to build my own indicator that generates clear and reliable supply and demand zones based on price swings and volatility. This indicator dynamically adjusts to market conditions, creating zones that are more responsive to price movements. Whether you're day trading or swing trading, this indicator will help you identify key price levels where buying and selling pressures exist.
Overview:
This indicator identifies supply and demand zones based on swing highs and lows, combined with market volatility. These zones represent areas where price is likely to experience reversals due to buying or selling pressures. The zones are displayed as rectangles (boxes) rather than lines, making it easier to visualize the areas of interest on the chart.
How the Indicator Works:
1. Supply Zones (Red Box):
- A supply zone is identified when the price forms a swing high (a local high point) and there is sufficient volatility (using ATR). The zone represents an area where sellers are likely to step in and push the price down.
2. Demand Zones (Green Box):
- A demand zone is identified when the price forms a swing low (a local low point) and volatility is sufficient. The zone represents an area where buyers are likely to step in and push the price up.
3. Extension Direction:
- You can control whether the zones extend to the left, to the right, or both directions. This lets you choose how far back or forward you want the zones to appear on the chart.
4. Volatility Filter (ATR Multiplier):
- The indicator uses the Average True Range (ATR) to filter out minor price movements. The ATR multiplier is hardcoded to 0.25, meaning that the indicator is more responsive to smaller price swings. This setting helps the zones adjust dynamically to changing market conditions.
How to Use the Indicator:
1. Adding to Chart:
- After publishing, you or invited users can apply the script to any chart. The indicator will automatically generate supply (red) and demand (green) zones.
2. Settings:
- Swing Length (Look-back Period): This controls how many bars back the script looks for significant swing highs and lows. Increasing this value will create zones based on larger swings.
- Extend Zone Horizontally (Bars): This controls how far the zones extend horizontally (left or right). You can adjust this to make the zones extend more or less on the chart.
- Extension Direction: Choose whether the zones extend to the left, right, or both directions. This gives flexibility on how you want the zones to display on the chart.
- Supply Zone Color: You can customize the color and opacity of the supply zone (default is red).
- Demand Zone Color: You can customize the color and opacity of the demand zone (default is green).
Best Practices for Trading:
- Combine with Other Indicators: While supply and demand zones are powerful on their own, combining this indicator with other tools like moving averages, volume analysis, or momentum indicators can provide further confirmation of potential price reversals.
- Watch for Price Action in Zones: When price approaches a supply or demand zone, watch for price action signals such as candlestick patterns (e.g., pin bars, engulfing candles) that can give you an idea of whether the zone will hold or break.
- Adjust for Different Timeframes: The indicator works well across different timeframes. Use a higher look-back period for larger timeframes (e.g., 4-hour, daily) and a lower look-back period for shorter timeframes (e.g., 5-minute, 15-minute charts).
Final Notes:
This script is intended to help traders identify key supply and demand zones and make better trading decisions. Since it dynamically adjusts to market volatility, it is well-suited for both day traders and swing traders who want to capture price reversals at significant levels.
