Hull MA with Alerts and LabelsThis script is designed to help traders visually track market trends using various types of moving averages (MAs) and to receive alerts when certain conditions are met. Hereโs a detailed breakdown of how the script works:
1. User Inputs and Customization:
MA Length: Traders can define the length of the moving average (default is 100).
Confirmation Candles: The trader can specify how many candles must confirm a trend before the script triggers a signal (default is 1).
MA Variation: The trader can choose between different moving average types: Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), or Hull Moving Average (HMA).
Source: Traders select the price source for the moving average calculation (e.g., close price).
Ribbon Transparency: Allows control over the transparency level of the ribbon plotted between the moving averages.
Bullish/Bearish Ribbon Colors: The user can choose the colors for bullish and bearish trends.
2. Moving Average Calculations:
The script provides multiple options for calculating moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
For the Hull Moving Average (HMA), it uses a specific formula that smoothens the movement and reduces lag, which is helpful for more reactive trend detection.
3. Plotting Moving Averages and Trend Ribbon:
The script calculates two key moving averages:
MHULL: The main moving average, selected based on the userโs chosen MA variation and source.
SHULL: A shifted version of the MHULL to help compare trends (shifted by 2 bars).
These two moving averages are plotted on the chart for visualization. MHULL is plotted in green (or another color if changed), while SHULL is plotted in red. A ribbon is drawn between MHULL and SHULL to indicate trends visually. The ribbon changes color depending on whether the trend is bullish (MHULL > SHULL) or bearish (MHULL < SHULL). The ribbonโs transparency can be adjusted for visual clarity.
4. Trend Detection:
Bullish Trend: The script checks if the price has closed above MHULL for the defined number of confirmation candles. If confirmed, a bullish trend is detected.
Bearish Trend: Similarly, the script checks if the price has closed below SHULL for the confirmation period, indicating a bearish trend.
The script tracks whether the market is in a bullish or bearish trend and prevents repeated signals by remembering the current trend state.
5. Alerts and Labels:
Bullish Alerts and Labels: When a confirmed bullish trend is detected (i.e., price closes above MHULL for the entire confirmation period and MHULL > SHULL), the script triggers an alert notifying the trader of the bullish condition. A "BULLISH" label is placed on the chart near the low of the candle where the trend was confirmed.
Bearish Alerts and Labels: If a confirmed bearish trend is detected (i.e., price closes below SHULL for the confirmation period and MHULL < SHULL), the script triggers an alert for the bearish condition. A "BEARISH" label is placed on the chart near the high of the candle where the trend was confirmed.
These alerts and labels help traders act quickly on trend changes and align their trading strategy with market conditions.
6. Practical Use for Traders:
For traders, this script offers:
Customizability : It allows traders to define the length and type of moving averages, choose price sources, and control how signals are confirmed.
Visual Trend Representation : The plotted MA lines and colored ribbons help traders easily see market direction.
Early Warnings : With alerts and labels, the script gives traders early signals when trends are shifting, allowing them to adjust positions accordingly.
Trend Confirmation : The script waits for a user-defined number of confirmation candles before signaling a new trend, reducing false signals.
Overall, the script helps traders automate their strategy by tracking moving averages and alerting them when key trend conditions are met.
Cari dalam skrip untuk "track"
ICT Killzones and Sessions W/ Silver Bullet + MacrosForex and Equity Session Tracker with Killzones, Silver Bullet, and Macro Times
This Pine Script indicator is a comprehensive timekeeping tool designed specifically for ICT traders using any time-based strategy. It helps you visualize and keep track of forex and equity session times, kill zones, macro times, and silver bullet hours.
Features:
Session and Killzone Lines:
Green: London Open (LO)
White: New York (NY)
Orange: Australian (AU)
Purple: Asian (AS)
Includes AM and PM session markers.
Dotted/Striped Lines indicate overlapping kill zones within the session timeline.
Customization Options:
Display sessions and killzones in collapsed or full view.
Hide specific sessions or killzones based on your preferences.
Customize colors, texts, and sizes.
Option to hide drawings older than the current day.
Automatic Updates:
The indicator draws all lines and boxes at the start of a new day.
Automatically adjusts time-based boxes according to the New York timezone.
Killzone Time Windows (for indices):
London KZ: 02:00 - 05:00
New York AM KZ: 07:00 - 10:00
New York PM KZ: 13:30 - 16:00
Silver Bullet Times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro Times:
02:33 - 03:00
04:03 - 04:30
08:50 - 09:10
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
Latest Update:
January 15:
Added option to automatically change text coloring based on the chart.
Included additional optional macro times per user request:
12:50 - 13:10
13:50 - 14:15
14:50 - 15:10
15:50 - 16:15
Usage:
To maximize your experience, minimize the pane where the script is drawn. This minimizes distractions while keeping the essential time markers visible. The script is designed to help traders by clearly annotating key trading periods without overwhelming their charts.
Originality and Justification:
This indicator uniquely integrates various time-based strategies essential for ICT traders. Unlike other indicators, it consolidates session times, kill zones, macro times, and silver bullet hours into one comprehensive tool. This allows traders to have a clear and organized view of critical trading periods, facilitating better decision-making.
Credits:
This script incorporates open-source elements with significant improvements to enhance functionality and user experience.
Forex and Equity Session Tracker with Killzones, Silver Bullet, and Macro Times
This Pine Script indicator is a comprehensive timekeeping tool designed specifically for ICT traders using any time-based strategy. It helps you visualize and keep track of forex and equity session times, kill zones, macro times, and silver bullet hours.
Features:
Session and Killzone Lines:
Green: London Open (LO)
White: New York (NY)
Orange: Australian (AU)
Purple: Asian (AS)
Includes AM and PM session markers.
Dotted/Striped Lines indicate overlapping kill zones within the session timeline.
Customization Options:
Display sessions and killzones in collapsed or full view.
Hide specific sessions or killzones based on your preferences.
Customize colors, texts, and sizes.
Option to hide drawings older than the current day.
Automatic Updates:
The indicator draws all lines and boxes at the start of a new day.
Automatically adjusts time-based boxes according to the New York timezone.
Killzone Time Windows (for indices):
London KZ: 02:00 - 05:00
New York AM KZ: 07:00 - 10:00
New York PM KZ: 13:30 - 16:00
Silver Bullet Times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro Times:
02:33 - 03:00
04:03 - 04:30
08:50 - 09:10
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
Latest Update:
January 15:
Added option to automatically change text coloring based on the chart.
Included additional optional macro times per user request:
12:50 - 13:10
13:50 - 14:15
14:50 - 15:10
15:50 - 16:15
ICT Sessions and Kill Zones
What They Are:
ICT Sessions: These are specific times during the trading day when market activity is expected to be higher, such as the London Open, New York Open, and the Asian session.
Kill Zones: These are specific time windows within these sessions where the probability of significant price movements is higher. For example, the New York AM Kill Zone is typically from 8:30 AM to 11:00 AM EST.
How to Use Them:
Identify the Session: Determine which trading session you are in (London, New York, or Asian).
Focus on Kill Zones: Within that session, focus on the kill zones for potential trade setups. For instance, during the New York session, look for setups between 8:30 AM and 11:00 AM EST.
Silver Bullets
What They Are:
Silver Bullets: These are specific, high-probability trade setups that occur within the kill zones. They are designed to be "one shot, one kill" trades, meaning they aim for precise and effective entries and exits.
How to Use Them:
Time-Based Setup: Look for these setups within the designated kill zones. For example, between 10:00 AM and 11:00 AM for the New York AM session .
Chart Analysis: Start with higher time frames like the 15-minute chart and then refine down to 5-minute and 1-minute charts to identify imbalances or specific patterns .
Macros
What They Are:
Macros: These are broader market conditions and trends that influence your trading decisions. They include understanding the overall market direction, seasonal tendencies, and the Commitment of Traders (COT) reports.
How to Use Them:
Understand Market Conditions: Be aware of the macroeconomic factors and market conditions that could affect price movements.
Seasonal Tendencies: Know the seasonal patterns that might influence the market direction.
COT Reports: Use the Commitment of Traders reports to understand the positioning of large traders and commercial hedgers .
Putting It All Together
Preparation: Understand the macro conditions and review the COT reports.
Session and Kill Zone: Identify the trading session and focus on the kill zones.
Silver Bullet Setup: Look for high-probability setups within the kill zones using refined chart analysis.
Execution: Execute the trade with precision, aiming for a "one shot, one kill" outcome.
By following these steps, you can effectively use ICT sessions, kill zones, silver bullets, and macros to enhance your trading strategy.
Usage:
To maximize your experience, shrink the pane where the script is drawn. This minimizes distractions while keeping the essential time markers visible. The script is designed to help traders by clearly annotating key trading periods without overwhelming their charts.
Originality and Justification:
This indicator uniquely integrates various time-based strategies essential for ICT traders. Unlike other indicators, it consolidates session times, kill zones, macro times, and silver bullet hours into one comprehensive tool. This allows traders to have a clear and organized view of critical trading periods, facilitating better decision-making.
Credits:
This script incorporates open-source elements with significant improvements to enhance functionality and user experience. All credit goes to itradesize for the SB + Macro boxes
Sharpe and Sortino Ratiosโ โ OVERVIEW
This indicator calculates the Sharpe and Sortino ratios using a chart symbol's periodic price returns, offering insights into the symbol's risk-adjusted performance. It features the option to calculate these ratios by comparing the periodic returns to a fixed annual rate of return or the returns from another selected symbol's context.
โ โ CONCEPTS
Returns, risk, and volatility
Theย return ย on an investment is the relative gain or loss over a period, often expressed as a percentage. Investment returns can originate from several sources, including capital gains, dividends, and interest income. Many investors seek the highest returns possible in the quest for profit. However, prudent investing and trading entails evaluating such returns against the associatedย risks ย (i.e., the uncertainty of returns and the potential for financial losses) for a clearer perspective on overall performance and sustainability.
The profitability of an investment typically comes at the cost of enduring market swings, noise, and general uncertainty. To navigate these turbulent waters, investors and portfolio managers often utilize volatility , a measure of the statistical dispersion of historical returns, as a foundational element in their risk assessments because it provides a tangible way to gauge the uncertainty in returns. High volatility suggests increased uncertainty and, consequently, higher risk, whereas low volatility suggests more stable returns with minimal fluctuations, implying lower risk. These concepts are integral components in several risk-adjusted performance metrics, including the Sharpe and Sortino ratios calculated by this indicator.
Risk-free rate
Theย risk-free rate ย represents the rate of return on a hypothetical investment carrying no risk of financial loss. This theoretical rate provides a benchmark for comparing the returns on a risky investment and evaluating whether itsย excess returnsย justify the risks.ย If an investment's returns are at or below the theoretical risk-free rate or the risk premium is below a desired amount, it may suggest that the returns do not compensate for the extra risk, which might be a call to reassess the investment.
Since the risk-free rate is a theoretical concept, investors often utilize proxies for the rate in practice, such as Treasury bills and other government bonds. Conventionally, analysts consider such instruments "risk-free" for a domestic holder, as they are a form of government obligation with a low perceived likelihood of default.
The average yield on short-term Treasury bills, influenced by economic conditions, monetary policies, and inflation expectations, has historically hovered around 2-3% over the long term. This range also aligns with central banks' inflation targets. As such, one may interpret a value within this range as a minimum proxy for the risk-free rate, as it may correspond to the minimum rate required to maintain purchasing power over time. This indicator uses a default value of 2% as the risk-free rate in its Sharpe and Sortino ratio calculations. Users can adjust this value from the "Risk-free rate of return" input in the "Settings/Inputs" tab.
Sharpe and Sortino ratios
The Sharpe and Sortino ratios are two of the most widely used metrics that offer insight into an investment's risk-adjusted performance . They provide a standardized framework to compare the effectiveness of investments relative to their perceived risks. These metrics can help investors determine whether the returns justify the risks taken to achieve them, promoting more informed investment decisions.
Both metrics measure risk-adjusted performance similarly. However, they have some differences in their formulas and their interpretation:
โ 1. Sharpe ratio
โโThe Sharpe ratio , developed by Nobel laureate William F. Sharpe, measures the performance of an investment compared to a theoretically risk-free asset, adjusted for the investment risk. The ratio uses the following formula:
โโSharpeย Ratio = (๐
๐ โ ๐
๐) / ๐๐
โโWhere:
โโโโข ๐
๐ = Average return of the investment
โโโโข ๐
๐ = Theoretical risk-free rate of return
โโโโข ๐๐ = Standard deviation of the investment's returns (volatility)
โโA higher Sharpe ratio indicates a more favorable risk-adjusted return, as it signifies that the investment produced higher excess returns per unit of increase in total perceived risk.
โ 2. Sortino ratio
โโThe Sortino ratio is a modified form of the Sharpe ratio that only considers downside volatility , i.e., the volatility of returns below the theoretical risk-free benchmark. Although it shares close similarities with the Sharpe ratio, it can produce very different values, especially when the returns do not have a symmetrical distribution, since it does not penalize upside and downside volatility equally. The ratio uses the following formula:
โโSortinoย Ratio = (๐
๐ โ ๐
๐) / ๐๐
โโWhere:
โโโโข ๐
๐ = Average return of the investment
โโโโข ๐
๐ = Theoretical risk-free rate of return
โโโโข ๐๐ = Downside deviation (standard deviation of negative excess returns, or downside volatility)
โโThe Sortino ratio offers an alternative perspective on an investment's return-generating efficiency since it does not consider upside volatility in its calculation. A higher Sortino ratio signifies that the investment produced higher excess returns per unit of increase in perceived downside risk.
The risk-free rate (๐
๐) in the numerator of both ratio formulas acts as a baseline for comparing an investment's performance to a theoretical risk-free alternative. By subtracting the risk-free rate from the expected return (๐
๐โ๐
๐), the numerator essentially represents the risk premium of the investment.
Comparison with another symbol
In addition to the conventional Sharpe and Sortino ratios, which compare an instrument's returns to a risk-free rate, this indicator can also compare returns to a user-specified benchmark symbol , allowing the calculation of Information ratios .
An Information ratio is a generalized form of the Sharpe ratio that compares an investment's returns to a risky benchmark , such as SPY, rather than a risk-free rate. It measures the investment's active return (the difference between its returns and the benchmark returns) relative to its tracking error (i.e., the volatility of the active return) using the following formula:
๐ผ๐
= (๐
๐ โ ๐
๐) / ๐๐ธ
Where:
โข ๐
๐ = Average return on the portfolio or investment
โข ๐
๐ = Average return from the benchmark instrument
โข ๐๐ธ = Tracking error (volatility of ๐
๐ โ ๐
๐)
Comparing returns to a benchmark instrument rather than a theoretical risk-free rate offers unique insights into risk-adjusted performance. Higher Information ratios signify that the investment produced higher active returns per unit of increase in risk relative to the benchmark. Conventional choices for non-risk-free benchmarks include major composite indices like the S&P 500 and DJIA, as the resulting ratios can provide insight into the effectiveness of an investment relative to the broader market.
Users can enable this generalized calculation for both the Sharpe and Sortino ratios by selecting the "Benchmark symbol returns" option from the "Benchmark type" dropdown in the "Settings/Inputs" tab.
It's crucial to note that this indicator compares the charts symbol's rate of change (return) to the rate of change in the benchmark symbol. Consequently, not all symbols available on TradingView are suitable for use with these ratios due to the nature of what their values represent. For instance, using a bond as a benchmark will produce distorted results since each bar's values represent yields rather than prices, meaning it compares the rate of change in the yield. To maintain consistency and relevance in the calculated ratios, ensure the values from the compared symbols strictly represent price information.
โ โ FEATURES
This indicator provides traders with two widely used metrics for assessing risk-adjusted performance, generalized to allow users to compare the chart symbol's price returns to a fixed risk-free rate or the returns from another risky symbol. Below are the key features of this indicator:
Timeframe selection
The "Returns timeframe" input determines the timeframe of the calculated price returns. Users can select any value greater than or equal to the chart's timeframe. The default timeframe is "1M".
Periodic returns tracking
This indicator compounds and collects requested price returns from the selected timeframe over monthly or daily periods, similar to how the Broker Emulator works when calculating strategy performance metrics on trade data. It employs the following logic:
โข Track returns over monthly periods if the chart's data spans at least two months.
โข Track returns over daily periods if the chart's data spans at least two days but not two months.
โข Do not track or collect returns if the data spans less than two days, as the amount of data is insufficient for meaningful ratio calculations.
The indicator uses the returns collected from up to a specified number of periods to calculate the Sharpe and Sortino ratios, depending on the available historical data. It also uses these periodic returns to calculate the average returns it displays in the Data Window.
Users can control the maximum number of periods the indicator analyzes with the "Max no. of periods used" input in the "Settings/Inputs" tab. The default value is 60 periods.
Benchmark specification
The "Benchmark return type" input specifies the benchmark type the indicator compares to the chart symbol's returns in the ratio calculations. It features the following two options:
โข "Risk-free rate of return (%)": Compares the price returns to a user-specified annual rate of return representing a theoretical risk-free rate (e.g., 2%).
โข "Benchmark symbol return": Compares the price returns to a selected benchmark symbol (e.g., "AMEX:SPY) to calculate Information ratios.
When comparing a chart symbol's returns to a specified benchmark symbol, this indicator aligns the times of data points from the benchmark with the times of data points from the chart's symbol to facilitate a fair comparison between symbols with different active sessions.
Visualization and display
โข The indicator displays the periodic returns requested from the specified "Returns timeframe" in a separate pane. The plot includes dynamic colors to signify positive and negative returns.
โข When the "Returns timeframe" value represents a higher timeframe, the indicator displays background highlights on the main chart pane to signify when a new value is available and whether the return is positive or negative.
โข When the specified benchmark return type is a benchmark symbol, the indicator displays the requested symbol's returns in the separate pane as a gray line for visual comparison.
โข Within the separate pane, the indicator displays a single-cell table that shows the base period it uses for periodic returns, the number of periods it uses in the calculation, the timeframe of the requested data, and the calculated Sharpe and Sortino ratios.
โข The Data Window displays the chart symbol and benchmark returns, their periodic averages, and the Sharpe and Sortino ratios.
โ โ FOR Pine Scriptโข CODERS
โข This script utilizes the functions from our RiskMetrics library to determine the size of the periods, calculate and collect periodic returns, and compute the Sharpe and Sortino ratios.
โข The `getAlignedPrices()` function in this script requests price data for the chart's symbol and a benchmark symbol with consistent time alignment by utilizing spread symbols , which helps facilitate a fair comparison between different symbol types. Retrieving prices from spreads avoids potential information loss and data misalignment that can otherwise occur when using separate requests from each symbol's context when those symbols have different sessions or data times.
โข For consistency, the `getAlignedPrices()` function includes extended hours and dividend adjustment modifiers in its data requests. Additionally, it includes other settings inherited from the chart's context, such as "settlement-as-close" preferences for fair comparison between futures instruments.
โข This script uses the `changePercent()` function from our ta library to calculate the percentage changes of the requested data.
โข The newly released `force_overlay` parameter in display-related functions allows indicators to display visuals on the main chart and a separate pane simultaneously. We use the parameter in this script's bgcolor() call to display background highlights on the main chart.
Look first. Then leap.
Luxmi AI Directional Option Buying (Long Only)Introduction:
"Option premium charts typically exhibit a predisposition towards bearish sentiment in higher timeframes"
In the dynamic world of options trading, navigating through the complexities of market trends and price movements is essential for making informed decisions. Among the arsenal of tools available to traders, option premium charts stand out as a pivotal source of insight, particularly in higher timeframes. However, their inherent bearish inclination in such timeframes necessitates a keen eye for identifying bullish pullbacks, especially in lower timeframes, to optimize buying strategies effectively.
Understanding the interplay between different data points becomes paramount in this endeavor. Traders embark on a journey of analysis, delving into metrics such as Implementation Shortfall, the performance of underlying index constituents, and bullish trends observed in lower timeframes like the 1-minute and 3-minute charts. These data points serve as guiding beacons, illuminating potential opportunities amidst the market's ever-shifting landscape.
Using this indicator, we will dissect the significance of option premium charts and their nuanced portrayal of market sentiment. Furthermore, we will unveil the art of discerning bullish pullbacks in lower timeframes, leveraging a multifaceted approach that amalgamates quantitative analysis with qualitative insights. Through this holistic perspective, traders can refine their decision-making processes, striving towards efficiency and efficacy in their options trading endeavors.
Major Features:
Implementation Shortfall (IS) Candles:
Working Principle:
TWAP (Time-Weighted Average Price) and EMA (Exponential Moving Average) are both commonly used in calculating Implementation Shortfall, a metric that measures the difference between the actual execution price of a trade and the benchmark price.
TWAP calculates the average price of a security over a specified time period, giving equal weight to each interval. On the other hand, EMA places more weight on recent prices, making it more responsive to current market conditions.
To calculate Implementation Shortfall using TWAP, the difference between the average execution price and the benchmark price is determined over the trading period. Similarly, with EMA, the difference is calculated using the exponential moving average price instead of a simple average.
By employing TWAP and EMA, traders can gauge the effectiveness of their trading strategies and identify areas for improvement in executing trades relative to a benchmark.
Benefits of using Implementation Shortfall:
By visualizing the implementation shortfall and its comparison with the EMA on the chart, traders can quickly assess whether current trading activity is deviating from recent trends.
Green bars suggest potential buying opportunities or bullish sentiment, while red bars suggest potential selling opportunities or bearish sentiment.
Traders can use this visualization to make more informed decisions about their trading strategies, such as adjusting position sizes, entering or exiting trades, or managing risk based on the observed deviations from the moving average.
How to use this feature:
This feature calculates Implementation Shortfall (IS) and visually represents it by coloring the candles in either bullish (green) or bearish (red) hues. This color-coding system provides traders with a quick and intuitive way to assess market sentiment and potential entry points. Specifically, a long entry is signaled when both the candle color and the trend cloud color align as green, indicating a bullish market outlook. This integrated approach enables traders to make informed decisions, leveraging IS insights alongside visual cues for more effective trading strategies.
Micro Trend Candles:
Working Principle:
This feature begins by initializing variables to determine trend channel width and track price movements. Average True Range (ATR) is then calculated to measure market volatility, influencing the channel's size. Highs and lows are identified within a specified range, and trends are assessed based on price breaches, with potential changes signaled accordingly. The price channel is continually updated to adapt to market shifts, and arrows are placed to indicate potential entry points. Colors are assigned to represent bullish and bearish trends, dynamically adjusting based on current market conditions. Finally, candles on the chart are colored to visually depict the identified micro trend, offering traders an intuitive way to interpret market sentiment and potential entry opportunities.
Benefits of using Micro Trend Candles:
Traders can use these identified micro trends to spot potential short-term trading opportunities. For example:
Trend Following: Traders may decide to enter trades aligned with the prevailing micro trend. If the candles are consistently colored in a certain direction, traders may consider entering positions in that direction.
Reversals: Conversely, if the script signals a potential reversal by changing the candle colors, traders may anticipate trend reversals and adjust their trading strategies accordingly. For instance, they might close existing positions or enter new positions in anticipation of a trend reversal.
It's important to note that these micro trends are short-term in nature and may not always align with broader market trends. Therefore, traders utilizing this script should consider their trading timeframes and adjust their strategies accordingly.
How to use this feature:
This feature assigns colors to candles to represent bullish and bearish trends, with adjustments made based on current market conditions. Green candles accompanied by a green trend cloud signal a potential long entry, while red candles suggest caution, indicating a bearish trend. This visual representation allows traders to interpret market sentiment intuitively, identifying optimal entry points and exercising caution during potential downtrends.
Scalping Candles (Inspired by Elliott Wave):
Working Principle:
This feature draws inspiration from the Elliot Wave method, utilizing technical analysis techniques to discern potential market trends and sentiment shifts. It begins by calculating the variance between two Exponential Moving Averages (EMAs) of closing prices, mimicking Elliot Wave's focus on wave and trend analysis. The shorter-term EMA captures immediate price momentum, while the longer-term EMA reflects broader market trends. A smoother Exponential Moving Average (EMA) line, derived from the difference between these EMAs, aids in identifying short-term trend shifts or momentum reversals.
Benefits of using Scalping Candles Inspired by Elliott Wave:
The Elliott Wave principle is a form of technical analysis that attempts to predict future price movements by identifying patterns in market charts. It suggests that markets move in repetitive waves or cycles, and traders can potentially profit by recognizing these patterns.
While this script does not explicitly analyze Elliot Wave patterns, it is inspired by the principle's emphasis on trend analysis and market sentiment. By calculating and visualizing the difference between EMAs and assigning colors to candles based on this analysis, the script aims to provide traders with insights into potential market sentiment shifts, which can align with the broader philosophy of Elliott Wave analysis.
How to use this feature:
Candlestick colors are assigned based on the relationship between the EMA line and the variance. When the variance is below or equal to the EMA line, candles are colored red, suggesting a bearish sentiment. Conversely, when the variance is above the EMA line, candles are tinted green, indicating a bullish outlook. Though not explicitly analyzing Elliot Wave patterns, the script aligns with its principles of trend analysis and market sentiment interpretation. By offering visual cues on sentiment shifts, it provides traders with insights into potential trading opportunities, echoing Elliot Wave's emphasis on pattern recognition and trend analysis.
Volume Candles:
Working Principle:
This feature introduces a custom volume calculation method tailored for bullish and bearish bars, enabling a granular analysis of volume dynamics specific to different price movements. By summing volumes over specified periods for bullish and bearish bars, traders gain insights into the intensity of buying and selling pressures during these periods, facilitating a deeper understanding of market sentiment. Subsequently, the script computes the net volume, revealing the overall balance between buying and selling pressures. Positive net volume signifies prevailing bullish sentiment, while negative net volume indicates bearish sentiment.
Benefits of Using Volume candles:
Enhanced Volume Analysis: Traders gain a deeper understanding of volume dynamics specific to bullish and bearish price movements, allowing them to assess the intensity of buying and selling pressures with greater precision.
Insight into Market Sentiment: By computing net volume and analyzing its relationship with the Exponential Moving Average (EMA), traders obtain valuable insights into prevailing market sentiment. This helps in identifying potential shifts in sentiment and anticipating market movements.
Visual Representation of Sentiment: The color-coded candle bodies based on volume dynamics provide traders with a visual representation of market sentiment. This intuitive visualization helps in quickly interpreting sentiment shifts and making timely trading decisions.
How to use this feature:
This visual representation allows traders to quickly interpret market sentiment based on volume dynamics. Green candles indicate potential bullish sentiment, while red candles suggest bearish sentiment. The color-coded candle bodies help traders identify shifts in market sentiment and make informed trading decisions.
Smart Sentimeter Candles:
Working Principle:
The "Smart Sentimeter Candles" feature is a tool designed for market sentiment analysis using technical indicators. It begins by defining stock symbols from various sectors, allowing traders to select specific indices for sentiment analysis. The script then calculates the difference between two Exponential Moving Averages (EMAs) of the High-Low midpoint, capturing short-term momentum changes in the market. It computes the difference between current and previous values to capture momentum shifts over time.
Additionally, it calculates the Exponential Moving Average (EMA) of this difference to provide a smoothed representation of the prevailing trend in market momentum. Another EMA of this difference is calculated to offer an alternative perspective on longer-term momentum trends. Bar colors are determined based on the difference between current and previous values, with bullish and bearish sentiment represented by custom colors. Finally, sentiment candles are visualized on the chart, providing traders with a clear representation of market sentiment changes.
Benefits of Using Sentimeter Candles:
By analyzing index constituents, traders gain insights into the individual stocks that collectively influence the index's performance. This understanding is crucial for trading options as it helps traders tailor their strategies to specific sectors or stocks within the index.
Sector-Specific Analysis: Traders can focus on specific sectors by selecting relevant indices for sentiment analysis.
Momentum Identification: The script identifies short-term momentum changes in the market, aiding traders in spotting potential trend reversals or continuations.
Clear Visualization: Sentiment candles visually represent market sentiment changes, making it easier for traders to interpret and act upon sentiment trends.
How to use this feature:
Select Indices: Toggle the inputs to choose which indices (e.g., NIFTY, BANKNIFTY, FINNIFTY) to analyze.
Interpret Sentiment Candles: Monitor the color of sentiment candles on the chart. Green candles indicate bullish sentiment, while red candles suggest bearish sentiment.
Observe Momentum Changes: Pay attention to momentum changes identified by the difference between EMAs and their respective EMAs. Increasing bullish momentum may present buying opportunities, while increasing bearish momentum could signal potential sell-offs.
Trend Cloud:
Working Principle:
The script utilizes the Relative Strength Index (RSI) to assess market momentum, identifying bullish and bearish phases based on RSI readings. It calculates two boolean variables, bullmove and bearmove, which signal shifts in momentum direction by considering changes in the Exponential Moving Average (EMA) of the closing price. When RSI indicates bullish momentum and the closing price's EMA exhibits positive changes, bullmove is triggered, signifying the start of a bullish phase. Conversely, when RSI suggests bearish momentum and the closing price's EMA shows negative changes, bearmove is activated, marking the beginning of a bearish phase. This systematic approach helps in understanding the current trend of the price. The script visually emphasizes these phases on the chart using plot shape markers, providing traders with clear indications of trend shifts.
Benefits of Using Trend Cloud:
Comprehensive Momentum Assessment: The script offers a holistic view of market momentum by incorporating RSI readings and changes in the closing price's EMA, enabling traders to identify both bullish and bearish phases effectively.
Structured Trend Recognition: With the calculation of boolean variables, the script provides a structured approach to recognizing shifts in momentum direction, enhancing traders' ability to interpret market dynamics.
Visual Clarity: Plotshape markers visually highlight the start and end of bullish and bearish phases on the chart, facilitating easy identification of trend shifts and helping traders to stay informed.
Prompt Response: Traders can promptly react to changing market conditions as the script triggers alerts when bullish or bearish phases begin, allowing them to seize potential trading opportunities swiftly.
Informed Decision-Making: By integrating various indicators and visual cues, the script enables traders to make well-informed decisions and adapt their strategies according to prevailing market sentiment, ultimately enhancing their trading performance.
How to use this feature:
The most effective way to maximize the benefits of this feature is to use it in conjunction with other key indicators and visual cues. By combining the color-coded clouds, which indicate bullish and bearish sentiment, with other features such as IS candles, microtrend candles, volume candles, and sentimeter candles, traders can gain a comprehensive understanding of market dynamics. For instance, aligning the color of the clouds with the trend direction indicated by IS candles, microtrend candles, and sentimeter candles can provide confirmation of trend strength or potential reversals.
Furthermore, traders can leverage the trend cloud as a trailing stop-loss tool for long entries, enhancing risk management strategies. By adjusting the stop-loss level based on the color of the cloud, traders can trail their positions to capture potential profits while minimizing losses. For long entries, maintaining the position as long as the cloud remains green can help traders stay aligned with the prevailing bullish sentiment. Conversely, a shift in color from green to red serves as a signal to exit the position, indicating a potential reversal in market sentiment and minimizing potential losses. This integration of the trend cloud as a trailing stop-loss mechanism adds an additional layer of risk management to trading strategies, increasing the likelihood of successful trades while reducing exposure to adverse market movements.
Moreover, the red cloud serves as an indicator of decay in option premiums and potential theta effect, particularly relevant for options traders. When the cloud turns red, it suggests a decline in option prices and an increase in theta decay, highlighting the importance of managing options positions accordingly. Traders may consider adjusting their options strategies, such as rolling positions or closing out contracts, to mitigate the impact of theta decay and preserve capital. By incorporating this insight into options pricing dynamics, traders can make more informed decisions about their options trades.
Scalping Opportunities (UpArrow and DownArrow):
Working Principle:
The feature calculates candlestick values based on the open, high, low, and close prices of each bar. By comparing these derived candlestick values, it determines whether the current candlestick is bullish or bearish. Additionally, it signals when there is a change in the color (bullish or bearish) of the derived candlesticks compared to the previous bar, enabling traders to identify potential shifts in market sentiment. This is a long only strategy, hence the signals are plotted only when the Trend Cloud is Green (Bullish).
Benefits of using UpArrow and DownArrow:
Clear Visualization: By employing color-coded candlesticks, the script offers traders a visually intuitive representation of market sentiment, enabling quick interpretation of prevailing conditions.
Signal Identification: Its capability to detect shifts in market sentiment serves as a valuable tool for identifying potential trading opportunities, facilitating timely decision-making and execution.
Long-Only Strategy: The script selectively plots signals only when the trend cloud is green, aligning with a bullish bias and enabling traders to focus on long positions during favorable market conditions.
Up arrows indicate potential long entry points, complementing the bullish bias of the trend cloud. Conversely, down arrows signify an active pullback in progress, signaling caution and prompting traders to refrain from entering long positions during such periods.
How to use this feature:
Confirmation: Confirm bullish market conditions with the Trend Cloud indicator. Ensure alignment between trend cloud signals, candlestick colors, and arrow indicators for confident trading decisions.
Entry Signals: Look for buy signals within a green trend cloud, indicated by bullish candlestick color changes and up arrows, suggesting potential long entry points aligned with the prevailing bullish sentiment.
Wait Signals: Exercise caution when encountering down arrows, which signify wait signals or active pullbacks in progress. Avoid entering long positions during these periods to avoid potential losses.
Exit Strategy: Use trend cloud color changes as signals to exit long positions. When the trend cloud shifts color, consider closing out long positions to lock in profits or minimize losses.
Profit Management: It's important to book or lock in some profits early on in option buying. Consider taking partial profits when the trade is in your favor and trail the remaining position to maximize gains on favorable trades.
Risk Management: Implement stop-loss orders or trailing stops to manage risk effectively. Exit positions promptly if sentiment shifts or if price movements deviate from the established trend, safeguarding capital.
Up and Down Signals:
Working Principle:
This feature calculates Trailing Stoploss (TSL) using the Average True Range (ATR) to dynamically adjust the stop level based on price movements. It generates buy signals when the price crosses above the trailing stop and sell signals when it crosses below. These signals are plotted on the chart and trigger alerts, signaling potential trading opportunities. Additionally, the script selectively plots Up and Down signals only when the Implementation Shortfall Calculation identifies scalp opportunities, independent of the prevailing price trend.
Benefits of using Up and Down Signals:
Trailing Stoploss: The script employs an ATR-based trailing stop, allowing traders to adjust stop levels dynamically in response to changing market conditions, thereby maximizing profit potential and minimizing losses.
Clear Signal Generation: Buy and sell signals are generated based on price interactions with the trailing stop, providing clear indications of entry and exit points for traders to act upon.
Alert Notifications: The script triggers alerts when buy or sell signals are generated, ensuring traders remain informed of potential trading opportunities even when not actively monitoring the charts.
Scalping Opportunities: By incorporating Implementation Shortfall Calculation, the script identifies scalp opportunities, enabling traders to capitalize on short-term price movements irrespective of the prevailing trend.
How to use this feature:
Signal Interpretation: Interpret Up signals as opportunities to enter long positions when the price crosses above the trailing stop, and Down signals as cues to exit.
Alert Monitoring: Pay attention to alert notifications triggered by the script, indicating potential trading opportunities based on signal generation.
Scalping Strategy: When Up and Down signals are plotted alongside scalp opportunities identified by the Implementation Shortfall Calculation, consider scalping trades aligned with these signals for short-term profit-taking, regardless of the overall market trend.
Consideration of Trend Cloud: Remember that this feature does not account for the underlying trend provided by the Trend Cloud feature. Consequently, the take profit levels generated by the trailing stop may be smaller than those derived from trend-following strategies. It's advisable to supplement this feature with additional trend analysis to optimize profit-taking levels and enhance overall trading performance.
Chart Timeframe Support and Resistance:
Working Principle:
This feature serves to identify and visualize support and resistance levels on the chart, primarily based on the chosen Chart Timeframe (CTF). It allows users to specify parameters such as the number of bars considered on the left and right sides of each pivot point, as well as line width and label color. Moreover, users have the option to enable or disable the display of these levels. By utilizing functions to calculate pivot highs and lows within the specified timeframe, the script determines the highest high and lowest low surrounding each pivot point.
Additionally, it defines functions to create lines and labels for each detected support and resistance level. Notably, this feature incorporates a trading method that emphasizes the concept of resistance turning into support after breakouts, thereby providing valuable insights for traders employing such strategies. These lines are drawn on the chart, with colors indicating whether the level is above or below the current close price, aiding traders in visualizing key levels and making informed trading decisions.
Benefits of Chart Timeframe Support and Resistance:
Identification of Price Levels: Support and resistance levels help traders identify significant price levels where buying (support) and selling (resistance) pressure may intensify. These levels are often formed based on historical price movements and are regarded as areas of interest for traders.
Decision Making: Support and resistance levels assist traders in making informed trading decisions. By observing price reactions near these levels, traders can gauge market sentiment and adjust their strategies accordingly. For example, traders may choose to enter or exit positions, set stop-loss orders, or take profit targets based on price behavior around these levels.
Risk Management: Support and resistance levels aid in risk management by providing reference points for setting stop-loss orders. Traders often place stop-loss orders below support levels for long positions and above resistance levels for short positions to limit potential losses if the market moves against them.
How to use this feature:
Planning Long Positions: When considering long positions, it's advantageous to strategize when the price is in proximity to a support level identified by the script. This suggests a potential area of buying interest where traders may expect a bounce or reversal in price. Additionally, confirm the bullish bias by ensuring that the trend cloud is green, indicating favorable market conditions for long trades.
Waiting for Breakout: If long signals are generated near resistance levels detected by the script, exercise patience and wait for a breakout above the resistance. A breakout above resistance signifies potential strength in the upward momentum and may present a more opportune moment to enter long positions. This approach aligns with trading methodologies that emphasize confirmation of bullish momentum before initiating trades.
Settings:
The Index Constituent Analysis setting empowers users to input the constituents of a specific index, facilitating the analysis of market sentiments based on the performance of these individual components. An index serves as a statistical measure of changes in a portfolio of securities representing a particular market or sector, with constituents representing the individual assets or securities comprising the index.
By providing the constituent list, users gain insights into market sentiments by observing how each constituent performs within the broader index. This analysis aids traders and investors in understanding the underlying dynamics driving the index's movements, identifying trends or anomalies, and making informed decisions regarding their investment strategies.
This setting empowers users to customize their analysis based on specific indexes relevant to their trading or investment objectives, whether tracking a benchmark index, sector-specific index, or custom index. Analyzing constituent performance offers a valuable tool for market assessment and decision-making.
Example: BankNifty Index and Its Constituents
Illustratively, the BankNifty index represents the performance of the banking sector in India and includes major banks and financial institutions listed on the National Stock Exchange of India (NSE). Prominent constituents of the BankNifty index include:
State Bank of India (SBIN)
HDFC Bank
ICICI Bank
Kotak Mahindra Bank
Axis Bank
IndusInd Bank
Punjab National Bank (PNB)
Yes Bank
Federal Bank
IDFC First Bank
By utilizing the Index Constituent Analysis setting and inputting these constituent stocks of the BankNifty index, traders and investors can assess the individual performance of these banking stocks within the broader banking sector index. This analysis enables them to gauge market sentiments, identify trends, and make well-informed decisions regarding their trading or investment strategies in the banking sector.
Example: NAS100 Index and Its Constituents
Similarly, the NAS100 index, known as the NASDAQ-100, tracks the performance of the largest non-financial companies listed on the NASDAQ stock exchange. Prominent constituents of the NAS100 index include technology and consumer discretionary stocks such as:
Apple Inc. (AAPL)
Microsoft Corporation (MSFT)
Amazon.com Inc. (AMZN)
Alphabet Inc. (GOOGL)
Facebook Inc. (FB)
Tesla Inc. (TSLA)
NVIDIA Corporation (NVDA)
PayPal Holdings Inc. (PYPL)
Netflix Inc. (NFLX)
Adobe Inc. (ADBE)
By inputting these constituent stocks of the NAS100 index into the Index Constituent Analysis setting, traders and investors can analyze the individual performance of these technology and consumer discretionary stocks within the broader NASDAQ-100 index. This analysis facilitates the evaluation of market sentiments, identification of trends, and informed decision-making regarding trading or investment strategies in the technology and consumer sectors.
Example: FTSE 100 Index and Its Constituents
The FTSE 100 index represents the performance of the 100 largest companies listed on the London Stock Exchange (LSE) by market capitalization. Some notable constituents of the FTSE 100 index include:
HSBC Holdings plc
BP plc
GlaxoSmithKline plc
Unilever plc
Royal Dutch Shell plc
AstraZeneca plc
Diageo plc
Rio Tinto plc
British American Tobacco plc
Reckitt Benckiser Group plc
By inputting these constituent stocks of the FTSE 100 index into the Index Constituent Analysis setting, traders and investors can analyze the individual performance of these diverse companies within the broader UK market index. This analysis facilitates the evaluation of market sentiments, identification of trends, and informed decision-making regarding trading or investment strategies in the UK market.
This comprehensive approach enables users to dissect index performance effectively, providing valuable insights for investors and traders across different markets and sectors.
Index Selection - Index Selection allows traders to specify the index for Sentimeter calculations, enabling customization for Call and Put Option charts corresponding to the chosen index.
Support and Resistance Levels - Set the left and right bars to consider pivot high and low to draw Support and resistance lines. Linewidth setting to help increase the width of the Support and Resistance lines. Label Color to change the color of the labels.
Style Section Colors to allow users to customize the color scheme to their liking.
OverbalanceOverbalance script tracks trend moves and biggest corrections in those moves.
Based on last trend extreme value (low or high) it can draw line symbolizing correction equal to
the biggest correction in that trend. It can track up to 20 independent (both up and down) trends on one chart.
Overbalance method works on an assumption that trend continues until we have correction bigger than the biggest existing correction in that trend. Comparing the historically biggest correction with the current one can give a warning signal.
There are markets and instruments for which the size of corrections is repeated, and tracking corrections in the trend can be used to predict the trend change moment. - Just remember that if something happened in the past it is not guaranteed that it will happen again.
This script can be used by ANY user. You DO NOT NEED to have PRO or PREMIUM account to use it.
Script settings:
Trend min change - Filter out price moves smaller than % of current price.
OB up - Showing overbalance in up trends
OB down - Showing overbalance in down trends
Historical with precision - Showing corrections moves that were equal to biggest previous correction in that trend with a given (%) precision.
OB prediction up - Showing overbalance threshold in current up trends
OB prediction down - Showing overbalance threshold in current down trends
OB Exceeded - Showing broken overbalance thresholds
Arrows - Showing overbalance thresholds with an arrows
(with labels) - Showing labels over overbalance threshold arrows
Price line - It draws a line at the price level, under the arrows.
Troubleshooting:
In case of any problems, send error details to the author of the script.
SOFEX High-End Indicators + BacktestingBINANCE:BTCUSDT.P BINANCE:ETHUSDT.P
Introducing the first publicly available suite of indicators for Bitcoin and Ethereum by Sofex - the High-End Indicators & Backtesting System.
๐ฌ Trading Philosophy
The High-End Indicators & Backtesting system offers both trend-following and mean-reversal algorithms to provide traders with a deep insight into the highly volatile cryptocurrency markets, known for their market noise and vulnerability to manipulation.
With these factors in mind, our indicators are designed to sidestep most potentially false signals. This is facilitated further by the "middle-ground" time frame (1 Hour) we use. Our focus is on the two largest cryptocurrencies: Bitcoin and Ethereum , which provide high liquidity, necessary for reliable trading.
Therefore, we recommend using our suite on these markets.
The backtesting version of the Sofex High-End Indicators includes mainly trend-following indicators. This is because our trading vision is that volatility in cryptocurrency markets is a tool that should be used carefully, and many times avoided. Furthermore, mean-reversal trading can lead to short-term profits, but we have found it less than ideal for long-term trading.
The script does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Based on our experience, it is preferable if traders remain neutral the majority of the time and only enter trades that can be exited in the foreseeable future. Trading just for the sake of it ultimately leads to loss in the long-run.
Expectations of performance should be realistic.
We also focus on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto our idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
We take pride in presenting this comprehensive suite of trading indicators, designed for both manual and automated use. Although automated use leads to increased efficiency, traders are free to incorporate any of our indicators into their own manual trading strategy.
โ๏ธ Indicators
By default, all indicators are enabled for both Long and Short trades.
Extreme Trend Breakouts
The Extreme Trend Breakouts indicator seeks to follow breakouts of support and resistance levels, while also accounting for the unfortunate fact that false signals can be generated on these levels. The indicator combines trend-breakout strategies with various other volatility and direction measurements. It works best in the beginning of trends.
Underpinning this indicator are renowned Perry Kaufman's Adaptive Moving Averages (PKAMA) alongside our proprietary adaptive moving averages. These dynamic indicators adjust their parameters based on recent price movements, attempting to catch trends while maintaining consistent performance in the long run.
In addition, our modification of the TTM Squeeze indicator further enhances the Extreme Trend Breakouts indicator, making it more responsive, especially during the initial stages of trends and filtering of "flat" markets.
High-Volatility Trend Follower
The High-Volatility Trend Follower indicator is based around the logic of evading market conditions where volatility is low (choppy markets) and aggressively following confirmed trends. The indicator works best during strong trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages our proprietary adaptive moving averages to identify and follow high-volatility trends effectively. Furthermore, it uses the Average Directional Index, Aroon Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations.
Low-Volatility Reversal
The Low-Volatility Reversal aims at plugging the holes that trend-following indicators ignore. It specifically looks for choppy markets. Using proven concepts such as Relative Strength Index and volume measurements, among others, this indicator finds local tops and bottoms with good accuracy. It works best in choppy markets with low to medium volatility. It has a downside that all reversals have, losing trades at the end of choppy markets and in the beginning of big trends.
This indicator, like the others, employs PKAMA in conjunction with our proprietary adaptive moving averages, and an Average PSAR indicator to seek out "sideways" markets. Furthermore, Bollinger Bands with an adaptive basis line is used, with the idea of trading against the short-term trends by looking at big deviations in price movement. The above mentioned indicators attempt to catch local tops and bottoms in markets.
Adaptive Trend Convergence
The Adaptive Trend Convergence aims at following trends while avoiding entering positions at local bottoms and tops. It does so by comparing a number of adaptive moving averages and looking for convergence among them. Adaptive filtering techniques for avoiding choppy markets are also used.
This indicator utilizes our proprietary adaptive moving averages, and an Average Price Range indicator to identify trend convergence and divergence effectively, preventing false signals during volatile market phases. It also makes use of Bollinger Bands with an adaptive moving average basis line and price-action adjusted deviation. Contrasting to the Low-Volatility Reversal condition described above, the Bollinger Bands used here attempt to follow breakouts outside of the lower and upper bands.
Double-Filtered Channel Breakouts
The Double-Filtered Channel Breakouts indicator is made out of adaptive channel-identifying indicators. The indicator then follows trends that significantly diverge from the established channels. This aims at following extreme trends, where rapid, continuous movements in either direction occur. This indicator works best in very strong trends and follows them relentlessly. However, these strong trends can end in strong reversals, and the indicator can be stopped out on the last trade.
Our Double-Filtered Channel Breakouts indicator is built on a foundation of adaptive channel indicators. We've harnessed the power of Keltner Channels and Bollinger Band Channels, with a similar approach used in the Adaptive Trend Convergence indicator. The basis and upper/lower bands of the channels do not rely on fixed deviation parameters, rather on adaptive ones, based on price action and volatility. This combination seeks to identify and follows extreme trends.
Direction Tracker
The Direction Tracker indicator is made out of a central slower, adaptive moving average that clearly recognizes global, long-term trends. Combined with direction and range indicators, among others, this indicator excels at finding the long-term trend and ignoring temporary pullbacks in the opposite direction. It works best at the beginning and middle of long and strong trends. It can fail at the end of trends and on very strong historical resistance lines (where sharp reversals are common).
Our Direction Tracker indicator integrates an adaptive SuperTrend indicator into its core, alongside our proprietary adaptive moving averages, to accurately identify and track long-term trends while mitigating temporary pullbacks. Furthermore, it uses Average True Range, ADX and other volatility indicators to attempt to catch unusual moves on the market early-on.
๐ Parameters Menu
To offer traders flexibility, our system comes with a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicators to your preferred cryptocurrency market.
Global Signal Direction: Set the global signal direction as Long, Short, or Both, depending on your trading strategy.
Global Sensitivity Parameter : Adjust the system's sensitivity to adapt to different trend-following conditions, particularly beneficial during higher-strength trends.
Source of Signals : Toggle individual indicators on or off according to your preference. By default, all indicators are enabled. Customize the indicators to trade Long, Short, or Both, aligning them with your desired market exposure.
Confirmation of Signals : Set the minimum number of confirmed signals on the same bar, ensuring signals are generated only when specific confirmation criteria are met. The default value is one, and it can be adjusted for both Long and Short signals.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
Globex, Extended, Daily, Weekly, Monthly, Yearly Range* Adds Right Side Only Price Line & Labels for Tracking without Extending Both Sides
* Tracks Current, Previous, and Two Previous Globex Sessions/ Futures:
* Tracks Current, Previous, and Two Previous Extended Session/ Stocks:
* Tracks Current, Previous, Two, & Three Previous Day Session/ Equities:
* Tracks Current, Last, Two, Three, Four, & Five Week Session/ Equities:
* Tracks Current, Last, Two, Three, Four, & Five Month Session/ Equities:
* Tracks Current, Last, Two, Three, Four, & Five Year Session/ Equities:
* Allows Custom Range on Globex, Extended, & Daily Sessions
* Allows Custom Range on Weekly, Monthly, & Yearly Sessions
* Lines & Labels Are Not Visible on Chart Scales
* Reversible Text & Background Color
* Lines Extend Accordingly with Range
* Labels show Price & Percent Change
* Background Colors should match Chart Color to avoid Overlapping Text & Labels
* Lines have Offset Extension
* Labels have Offset Extension
* Globex Session is only visible on Futures & if Current Timeframe is Intraday
* Extended Session is only visible on Stocks & if Current Timeframe is Intraday
* Daily, Weekly, Monthly, & Yearly Sessions are visible on All Symbols & All Timeframes
* Globex, Extended, & Regular use their Default Time Sessions but allow Customization
* For Back Testing Default Sessions, switch over on the Menu to Style and Turn On/Off their Background Color; Any Area on the Chart Without Background Color is Regular Session
Compression MA (600 Max) [acatwithcharts]Compression MA is an experimental indicator which modifies Mean Reversion MA with a twist: it instead tracks the most compressed period on a given timeframe as a target for eventual mean reversion. This is a twist on the logic for trading volatility mean reversions in that here we work from the assumption that a period of compression means that there's volatility overhead that should provide resistance to a breakout. The compression MA should therefore help define range-bound areas and help predict intermediate resistances.
This required some tweaking of Mean Reversion MA rather than just making a modification to enable more features on that script, but much of the logic and settings are similar. I've also added an option on this script to turn off tracking and just give the current most compressed period, if any, which creates an entirely different chart and is great for identifying and defining areas of sideways, strongly range-bound compression, which should be scalpable.
This version caps the maximum period length at 600, an empirically-chosen number based on some testing of Mean Reversion MA to try to avoid picking overly distant targets and which dramatically improves stability. In practice, it should be extraordinarily rare for compression MA to need to track something longer than 600, small TFs notwithstanding.
My volatility indicators are available by subscription in several packages through SharkCharts.live - and this is planned to be the first new one ready to add. I plan to release a video explaining how to use this indicator coinciding with launch, as there's a lot to talk about. Videos on my other indicators are currently hosted on DadShark's YouTube channel.
Current pricing and subscription details will be kept up-to-date on SharkCharts.live
Binque's Multi-Moving Average Binque's Multi-Moving Average - One indicator with four simple moving average and four exponential moving averages, plus as a bonus a Day High moving average and a Day Low Moving Average.
Simple Moving Average or MA(14), MA(50), MA(100) and MA(200) all in one indicator
Exponential Moving Average or EMA(8), EMA(14), EMA(20) and EMA(33) all in one indicator
Day High Moving Average - Tracks the Daily High versus most moving averages track the daily close.
Day Low Moving Average - Tracks the Daily Low versus most moving average track the daily close.
To Disable moving averages, Set the color to the chart background and then set the length to 1 and uncheck.
I Use the Daily High Moving Average to track upward resistance in a stock movement for Swing Trading.
I Use the Daily Low Moving Average to track my trailing stop in a stock movement for Swing Trading.
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
โ Overview
Coinbase Institutional Smart Money Detector is an innovative indicator that detects the buying and selling movements of institutional investors through Coinbase Prime in real-time. This powerful tool tracks the flow of funds from large institutions to provide valuable signals before significant market direction changes occur. It can be applied to Bitcoin charts on any exchange, allowing traders to follow the "smart money" movements of institutions anytime, anywhere.
The unique strength of this indicator lies in its comprehensive assessment of institutional investors' consecutive trading behaviors, volume patterns, and trend strength by analyzing Coinbase data in real-time. By providing clear visual representation of institutional fund flow data that is difficult for ordinary traders to access, you gain the opportunity to move alongside the big players in the market.
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โ Key Features
โข Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
โข Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
โข Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
โข Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
โข Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
โข Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
โข Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
โข Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
โข Customizable Settings: Allows customization of key parameters to match your trading style
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โ Understanding Signal Types
โ Institutional Buy Signal
โข Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
โข Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
โข Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
โข Signal Strength Factors:
โถ Consecutive price increase patterns
โถ Above-average volume
โถ Strong upward trend strength measurement
โถ Significant price movement
โ Institutional Sell Signal
โข Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
โข Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
โข Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
โข Signal Strength Factors:
โถ Consecutive price decrease patterns
โถ Above-average volume
โถ Strong downward trend strength measurement
โถ Significant price movement
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โ Understanding Trend Strength
โ Trend Strength Measurement Method
โข Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
โข Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
โข Strength Threshold: Strong/weak determination according to user-configurable threshold
โข Calculation Method:
โถ Upward trend strength = (Number of upward candles) / (Total analysis period)
โถ Downward trend strength = (Number of downward candles) / (Total analysis period)
โถ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
โ Utilizing Trend Strength
โข Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
โข Trend Confirmation: Evaluates the health and sustainability of the current market trend
โข Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
โข Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Practical Trading Applications
โ Institutional Buy Signal Strategy
โข Trend Reversal Scenario:
โถ Setup: Strong institutional buy signal during a downtrend
โถ Entry: Buy after signal confirmation in the next candle
โถ Stop Loss: Below the low of the signal candle
โถ Take Profit: When reaching previous major resistance or when trend strength weakens
โข Trend Continuation Scenario:
โถ Setup: Institutional buy signal after correction in an uptrend
โถ Entry: Buy after signal confirmation
โถ Stop Loss: Below recent major low
โถ Take Profit: Gradually take profits considering trend strength
โ Institutional Sell Signal Strategy
โข Trend Reversal Scenario:
โถ Setup: Strong institutional sell signal during an uptrend
โถ Entry: Sell after signal confirmation in the next candle
โถ Stop Loss: Above the high of the signal candle
โถ Take Profit: When reaching previous major support or when trend strength weakens
โข Trend Continuation Scenario:
โถ Setup: Institutional sell signal after bounce in a downtrend
โถ Entry: Sell after signal confirmation
โถ Stop Loss: Above recent major high
โถ Take Profit: Gradually take profits considering trend strength
โ Multi-Timeframe Approach
โข Higher Timeframe Direction Confirmation:
โถ Check institutional signals and trend strength on daily/4-hour charts
โถ Use for setting main trading direction
โข Lower Timeframe Entry Point Finding:
โถ Wait for lower timeframe signals that align with higher timeframe direction
โถ Use for capturing precise entry points
โข Cross-Timeframe Signal Alignment:
โถ Signal strength increases when signals occur in the same direction across multiple timeframes
โถ Capture high-probability trading opportunities
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Indicator Settings Guide
โ Main Setting Parameters
โข Institutional Continuity Period:
โถ Purpose: Sets the period to check institutional consecutive buying/selling activity
โถ Lower value: Generates more signals, increases responsiveness
โถ Higher value: Reduces number of signals, increases reliability
โข Trend Strength Threshold:
โถ Purpose: Sets the minimum threshold for determining strong trends
โถ Lower value: More signals, less filtering
โถ Higher value: Generates signals only in stronger trends, higher filtering
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Synergy with Other Indicators
โข Support/Resistance Levels:
โถ Institutional signals occurring at key support/resistance levels have higher probability
โถ Combination of key technical analysis levels and institutional activity provides powerful signals
โข Moving Averages:
โถ Pay attention to institutional signals near key moving averages (50MA, 200MA)
โถ Strong trend change possibility when moving average crossovers coincide with institutional signals
โข RSI/Momentum Indicators:
โถ Institutional buy signals in oversold conditions increase reversal probability
โถ Institutional sell signals in overbought conditions increase reversal probability
โข Volume Profile:
โถ Institutional signals at high volume nodes confirm important price levels
โถ Institutional activity in key trading areas greatly impacts price direction
โข Market Structure:
โถ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
โถ Coincidence of market structure changes and institutional activity indicates important trend turning points
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Conclusion
Coinbase Institutional Smart Money Detector provides traders with valuable insights by tracking spot Bitcoin trading activities of institutional investors through Coinbase Prime in real-time. Because it can be applied to Bitcoin charts on any exchange, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of institutional fund flow data that is difficult for ordinary traders to access. By comprehensively analyzing consecutive price movements, volume increases, and trend strength to capture institutional activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals based on Coinbase Prime data and real-time trend strength measurements help traders quickly grasp market conditions and make strategic decisions. By integrating this powerful tool into your trading strategy, secure a competitive edge to understand where the market's smart money is flowing and position accordingly.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป Disclaimer: Like all trading tools, the Institutional Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
Coinbase Institutional Smart Money Detector
โ ๊ฐ์
Coinbase Institutional Smart Money Detector๋ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์(Coinbase Prime)์ ํตํ ๊ธฐ๊ด ํฌ์์๋ค์ ํ๋ฌผ ๋นํธ์ฝ์ธ ๋งค์/๋งค๋ ์์ง์์ ์ค์๊ฐ์ผ๋ก ๊ฐ์งํ๋ ํ์ ์ ์ธ ์งํ์
๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ ๋ํ ๊ธฐ๊ด๋ค์ ์๊ธ ํ๋ฆ์ ์ถ์ ํ์ฌ ์ค์ํ ์์ฅ ๋ฐฉํฅ ์ ํ์ด ์ผ์ด๋๊ธฐ ์ ์ ๊ท์คํ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค. ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ํธ๋ ์ด๋๋ค์ด ์ธ์ ์ด๋์๋ ๊ธฐ๊ด์ "์ค๋งํธ ๋จธ๋" ์์ง์์ ๋ฐ๋ผ๊ฐ ์ ์๊ฒ ํด์ค๋๋ค.
์ด ์งํ์ ๋
๋ณด์ ์ธ ๊ฐ์ ์ ์ฝ์ธ๋ฒ ์ด์ค ๋ฐ์ดํฐ๋ฅผ ์ค์๊ฐ์ผ๋ก ๋ถ์ํ์ฌ ๊ธฐ๊ด ํฌ์์๋ค์ ์ฐ์์ ์ธ ๋งค๋งค ํ๋, ๊ฑฐ๋๋ ํจํด, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ํ๊ฐํ๋ค๋ ์ ์
๋๋ค. ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ์ ๊ทผํ๊ธฐ ์ด๋ ค์ด ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์๊ฐ์ ์ผ๋ก ๋ช
ํํ๊ฒ ์ ๊ณตํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์ ๋ฐ์ดํฐ ๋ถ์: ๊ธฐ๊ด ์ ์ฉ ์๋น์ค์ธ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ๋ฐ์ดํฐ๋ฅผ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ๊ธฐ๊ด์ ์์ง์ ํฌ์ฐฉ
โข ์ค์๊ฐ ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ชจ๋ํฐ๋ง: ๋ํ ๊ธฐ๊ด๋ค์ ํ๋ฌผ ๋งค์/๋งค๋ ํ๋์ ์ฆ๊ฐ์ ์ผ๋ก ๊ฐ์งํ์ฌ ์์ฅ์ ์์ ํฌ์ง์
๋ ๊ฐ๋ฅ
โข ๋ชจ๋ ๊ฑฐ๋์ ํธํ์ฑ: ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ํ์ฉ ๊ฐ๋ฅ
โข ๊ธฐ๊ด ์ฐ์์ฑ ๋ถ์: ์ฐ์์ ์ธ ๋งค์/๋งค๋ ํจํด์ ์ถ์ ํ์ฌ ๊ธฐ๊ด์ ์ง์์ ์ธ ํ๋ ์๋ณ
โข ์ค๋งํธ ๋ณผ๋ฅจ ๋ถ์: ํ๊ท ๋๋น ๊ฑฐ๋๋ ์ฆ๊ฐ๋ฅผ ๊ฐ์งํ๊ณ ์ฃผ์ ๊ฑฐ๋ ์๊ฐ๋๋ฅผ ๋ถ์
โข ์ถ์ธ ๊ฐ๋ ์ธก์ : ์บ๋ค ํจํด์ ๋ถ์ํด ์์น/ํ๋ฝ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์์นํํ์ฌ ํ์
โข ์ง๊ด์ ์๊ฐํ: ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ๋ผ๋ฒจ์ ํตํด ๊ธฐ๊ด ํ๋ ์ง์ ์ ์ฐจํธ์ ๋ช
ํํ๊ฒ ํ์
โข ์ค์๊ฐ ๊ฐ๋ ํ์: ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ค์๊ฐ์ผ๋ก ๊ณ์ฐํ์ฌ ํ
์ด๋ธ์ ํ์
โข ์ฌ์ฉ์ ์ ์ ์ค์ : ์ฃผ์ ๋งค๊ฐ๋ณ์๋ฅผ ์กฐ์ ํ์ฌ ์์ ์ ํธ๋ ์ด๋ฉ ์คํ์ผ์ ๋ง๊ฒ ์ปค์คํฐ๋ง์ด์ง ๊ฐ๋ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ์ ํ ์ดํดํ๊ธฐ
โ ๊ธฐ๊ด ๋งค์ ์ ํธ
โข ์ ์: ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํด ๊ธฐ๊ด ํฌ์์๋ค์ด ์ฐ์์ ์ธ ๋งค์ ํ๋์ ๋ณด์ด๋ฉฐ, ์ด์ ํจ๊ป ๊ฑฐ๋๋ ์ฆ๊ฐ์ ๊ฐํ ์์น ์ถ์ธ๊ฐ ๋ํ๋ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค์ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
ํ๋์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "Institution Buying Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๊ธฐ๊ด ํฌ์์๋ค์ด ์ ๊ทน์ ์ผ๋ก ํ๋ฌผ ๋นํธ์ฝ์ธ์ ๋งค์ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ์์น์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ์์น ํจํด
โถ ํ๊ท ๋ณด๋ค ๋์ ๊ฑฐ๋๋
โถ ๊ฐํ ์์น ์ถ์ธ ๊ฐ๋ ์ธก์ ๊ฐ
โถ ์ ์๋ฏธํ ๊ฐ๊ฒฉ ๋ณ๋
โ ๊ธฐ๊ด ๋งค๋ ์ ํธ
โข ์ ์: ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํด ๊ธฐ๊ด ํฌ์์๋ค์ด ์ฐ์์ ์ธ ๋งค๋ ํ๋์ ๋ณด์ด๋ฉฐ, ์ด์ ํจ๊ป ๊ฑฐ๋๋ ์ฆ๊ฐ์ ๊ฐํ ํ๋ฝ ์ถ์ธ๊ฐ ๋ํ๋ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค๋ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
๋ถํ์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "Institution Selling Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๊ธฐ๊ด ํฌ์์๋ค์ด ์ ๊ทน์ ์ผ๋ก ํ๋ฌผ ๋นํธ์ฝ์ธ์ ๋งค๋ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ํ๋ฝ์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ํ๋ฝ ํจํด
โถ ํ๊ท ๋ณด๋ค ๋์ ๊ฑฐ๋๋
โถ ๊ฐํ ํ๋ฝ ์ถ์ธ ๊ฐ๋ ์ธก์ ๊ฐ
โถ ์ ์๋ฏธํ ๊ฐ๊ฒฉ ๋ณ๋
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ถ์ธ ๊ฐ๋ ์ดํดํ๊ธฐ
โ ์ถ์ธ ๊ฐ๋ ์ธก์ ๋ฐฉ์
โข ์ ์: ์ต๊ทผ ์ผ์ ๊ธฐ๊ฐ ๋์์ ์์น/ํ๋ฝ ์บ๋ค ๋น์จ์ ๋ถ์ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ธก์
โข ์๊ฐ์ ํํ: ํ
์ด๋ธ์ "BULL STRENGTH" ๋๋ "BEAR STRENGTH"๋ก ํ์๋๋ฉฐ, ๋ฐฑ๋ถ์จ ๊ฐ๊ณผ ํจ๊ป "STRONG" ๋๋ "WEAK" ์ํ ํ์
โข ๊ฐ๋ ์๊ณ๊ฐ: ์ฌ์ฉ์๊ฐ ์ค์ ๊ฐ๋ฅํ ์๊ณ๊ฐ์ ๋ฐ๋ผ ๊ฐํจ/์ฝํจ ํ์
โข ๊ณ์ฐ ๋ฐฉ์:
โถ ์์น ์ถ์ธ ๊ฐ๋ = (์์น ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ํ๋ฝ ์ถ์ธ ๊ฐ๋ = (ํ๋ฝ ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ๊ฐ๋๊ฐ ์๊ณ๊ฐ ์ด์์ผ ๋ "STRONG", ๋ฏธ๋ง์ผ ๋ "WEAK"๋ก ํ์
โ ์ถ์ธ ๊ฐ๋์ ํ์ฉ
โข ์ ํธ ํํฐ๋ง: ์ถ์ธ ๊ฐ๋๊ฐ ๊ฐํ ๋๋ง ์ ํธ๋ฅผ ์์ฑํ์ฌ ํ์ ์ ํธ ๊ฐ์
โข ์ถ์ธ ํ์ธ: ํ์ฌ ์์ฅ ์ถ์ธ์ ๊ฑด์ ์ฑ๊ณผ ์ง์ ๊ฐ๋ฅ์ฑ ํ๊ฐ
โข ์ง์
/ํด์ถ ๊ฒฐ์ : ๊ฐํ ์ถ์ธ์์ ์ง์
ํ๊ณ ์ฝํ ์ถ์ธ๋ก ์ ํ๋ ๋ ํด์ถ ๊ณ ๋ ค
โข ๋ฆฌ์คํฌ ๊ด๋ฆฌ: ์ฝํ ์ถ์ธ์์๋ ํฌ์ง์
ํฌ๊ธฐ๋ฅผ ์ค์ด๊ณ , ๊ฐํ ์ถ์ธ์์๋ ๋๋ฆฌ๋ ์ ๋ต ์๋ฆฝ ๊ฐ๋ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ค์ ํธ๋ ์ด๋ฉ ์์ฉ
โ ๊ธฐ๊ด ๋งค์ ์ ํธ ํ์ฉ ์ ๋ต
โข ์ถ์ธ ์ ํ ์๋๋ฆฌ์ค:
โถ ์ค์ : ํ๋ฝ ์ถ์ธ ์ค ๊ฐํ ๊ธฐ๊ด ๋งค์ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋ค์ ์บ๋ค์์ ๋งค์
โถ ์์ : ์ ํธ ์บ๋ค์ ์ ์ ์๋
โถ ์ด์ต์คํ: ์ด์ ์ฃผ์ ์ ํญ์ ๋๋ฌ ์ ๋๋ ์ถ์ธ ๊ฐ๋๊ฐ ์ฝํด์ง ๋
โข ์ถ์ธ ์ง์ ์๋๋ฆฌ์ค:
โถ ์ค์ : ์์น ์ถ์ธ ์ค ์กฐ์ ํ ๊ธฐ๊ด ๋งค์ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋งค์
โถ ์์ : ์ต๊ทผ ์ฃผ์ ์ ์ ์๋
โถ ์ด์ต์คํ: ์ถ์ธ ๊ฐ๋๋ฅผ ๊ณ ๋ คํ์ฌ ๋จ๊ณ์ ์ผ๋ก ์ด์ต์คํ
โ ๊ธฐ๊ด ๋งค๋ ์ ํธ ํ์ฉ ์ ๋ต
โข ์ถ์ธ ์ ํ ์๋๋ฆฌ์ค:
โถ ์ค์ : ์์น ์ถ์ธ ์ค ๊ฐํ ๊ธฐ๊ด ๋งค๋ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋ค์ ์บ๋ค์์ ๋งค๋
โถ ์์ : ์ ํธ ์บ๋ค์ ๊ณ ์ ์
โถ ์ด์ต์คํ: ์ด์ ์ฃผ์ ์ง์ง์ ๋๋ฌ ์ ๋๋ ์ถ์ธ ๊ฐ๋๊ฐ ์ฝํด์ง ๋
โข ์ถ์ธ ์ง์ ์๋๋ฆฌ์ค:
โถ ์ค์ : ํ๋ฝ ์ถ์ธ ์ค ๋ฐ๋ฑ ํ ๊ธฐ๊ด ๋งค๋ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋งค๋
โถ ์์ : ์ต๊ทผ ์ฃผ์ ๊ณ ์ ์
โถ ์ด์ต์คํ: ์ถ์ธ ๊ฐ๋๋ฅผ ๊ณ ๋ คํ์ฌ ๋จ๊ณ์ ์ผ๋ก ์ด์ต์คํ
โ ๋ค์ค ์๊ฐํ๋ ์ ์ ๊ทผ๋ฒ
โข ์์ ์๊ฐํ๋ ์ ๋ฐฉํฅ์ฑ ํ์ธ:
โถ ์ผ๋ด/4์๊ฐ๋ด์์ ๊ธฐ๊ด ์ ํธ ๋ฐ ์ถ์ธ ๊ฐ๋ ํ์ธ
โถ ์ฃผ ํธ๋ ์ด๋ฉ ๋ฐฉํฅ ์ค์ ์ ํ์ฉ
โข ํ์ ์๊ฐํ๋ ์ ์ง์
์ ์ฐพ๊ธฐ:
โถ ์์ ์๊ฐํ๋ ์ ๋ฐฉํฅ๊ณผ ์ผ์นํ๋ ํ์ ์๊ฐํ๋ ์ ์ ํธ ๋๊ธฐ
โถ ์ ๋ฐํ ์ง์
์ ํฌ์ฐฉ์ ํ์ฉ
โข ์๊ฐํ๋ ์ ๊ฐ ์ ํธ ์ผ์น ํ์ธ:
โถ ์ฌ๋ฌ ์๊ฐํ๋ ์์์ ๋์ผํ ๋ฐฉํฅ์ ์ ํธ๊ฐ ๋ฐ์ํ ๋ ์ ํธ ๊ฐ๋ ์ฆ๊ฐ
โถ ๋์ ํ๋ฅ ์ ํธ๋ ์ด๋ฉ ๊ธฐํ ํฌ์ฐฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์งํ ์ค์ ๊ฐ์ด๋
โ ์ฃผ์ ์ค์ ๋งค๊ฐ๋ณ์
โข Institutional Continuity Period (๊ธฐ๊ด ์ฐ์์ฑ ํ์ธ ๊ธฐ๊ฐ):
โถ ๋ชฉ์ : ๊ธฐ๊ด์ ์ฐ์์ ์ธ ๋งค์/๋งค๋ ํ๋์ ํ์ธํ ๊ธฐ๊ฐ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ ์์ฑ, ๋ฐ์์ฑ ์ฆ๊ฐ
โถ ๋์ ๊ฐ: ์ ํธ ์ ๊ฐ์, ์ ๋ขฐ์ฑ ์ฆ๊ฐ
โข Trend Strength Threshold (์ถ์ธ ๊ฐ๋ ์๊ณ๊ฐ):
โถ ๋ชฉ์ : ์ถ์ธ๊ฐ ๊ฐํ๋ค๊ณ ํ๋จํ ์ต์ ์๊ณ๊ฐ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ, ๋ฎ์ ํํฐ๋ง
โถ ๋์ ๊ฐ: ๋ ๊ฐํ ์ถ์ธ์์๋ง ์ ํธ ์์ฑ, ๋์ ํํฐ๋ง
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ์ง์ง/์ ํญ ๋ ๋ฒจ:
โถ ์ฃผ์ ์ง์ง/์ ํญ ๋ ๋ฒจ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ํ๋ฅ ์ด ๋ ๋์
โถ ๊ธฐ์ ์ ๋ถ์์ ํต์ฌ ๋ ๋ฒจ๊ณผ ๊ธฐ๊ด ํ๋์ ๊ฒฐํฉ์ ๊ฐ๋ ฅํ ์๊ทธ๋ ์ ๊ณต
โข ์ด๋ํ๊ท ์ :
โถ ์ฃผ์ ์ด๋ํ๊ท ์ (50MA, 200MA) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ ์ฃผ๋ชฉ
โถ ์ด๋ํ๊ท ์ ๋ํ์ ๊ธฐ๊ด ์ ํธ๊ฐ ์ผ์นํ ๋ ๊ฐํ ์ถ์ธ ๋ณํ ๊ฐ๋ฅ์ฑ
โข RSI/๋ชจ๋ฉํ
์งํ:
โถ ๊ณผ๋งค์/๊ณผ๋งค๋ ์ํ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ๋ฐ์ ๊ฐ๋ฅ์ฑ ๋์
โถ ๋ชจ๋ฉํ
๋ค์ด๋ฒ์ ์ค์ ๊ธฐ๊ด ์ ํธ์ ์ผ์น๋ ๊ฐ๋ ฅํ ๋ฐ์ ์ ํธ
โข ๋ณผ๋ฅจ ํ๋กํ์ผ:
โถ ๋์ ๋ณผ๋ฅจ ๋
ธ๋์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ์ค์ํ ๊ฐ๊ฒฉ ๋ ๋ฒจ ํ์ธ
โถ ์ฃผ์ ๊ฑฐ๋ ์์ญ์์์ ๊ธฐ๊ด ํ๋์ ๊ฐ๊ฒฉ ๋ฐฉํฅ์ ํฐ ์ํฅ ๋ฏธ์นจ
โข ์์ฅ ๊ตฌ์กฐ:
โถ ์ฃผ์ ์์ฅ ๊ตฌ์กฐ(๋์ ๊ณ ์ /์ ์ , ๋ฎ์ ๊ณ ์ /์ ์ ) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ๊ตฌ์กฐ ๋ณํ ์์
โถ ์์ฅ ๊ตฌ์กฐ ๋ณํ์ ๊ธฐ๊ด ํ๋์ ์ผ์น๋ ์ค์ํ ์ถ์ธ ์ ํ์ ํ์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
Coinbase Institutional Smart Money Detector๋ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํ ๊ธฐ๊ด ํฌ์์๋ค์ ํ๋ฌผ ๋นํธ์ฝ์ธ ๊ฑฐ๋ ํ๋์ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ํธ๋ ์ด๋๋ค์๊ฒ ๊ท์คํ ํต์ฐฐ๋ ฅ์ ์ ๊ณตํฉ๋๋ค. ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ๊ธฐ ๋๋ฌธ์, ์ฌ๋ฌ๋ถ์ด ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ๋ฐ๋ก ํ์ฉํ ์ ์์ต๋๋ค.
์ด ์งํ์ ํต์ฌ ๊ฐ์น๋ ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ์ ๊ทผํ๊ธฐ ์ด๋ ค์ด ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์ง๊ด์ ์ผ๋ก ์๊ฐํํ์ฌ ์ ๊ณตํ๋ค๋ ์ ์
๋๋ค. ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ์์ง์, ๊ฑฐ๋๋ ์ฆ๊ฐ, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ๋ถ์ํ์ฌ ๊ธฐ๊ด์ ํ๋์ ํฌ์ฐฉํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์ ๋ฐ์ดํฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ํ ๋ช
ํํ ๋งค์/๋งค๋ ์ ํธ์ ์ค์๊ฐ ์ถ์ธ ๊ฐ๋ ์ธก์ ์ ํธ๋ ์ด๋๋ค์ด ์์ฅ ์ํฉ์ ํ๋์ ํ์
ํ๊ณ ์ ์ํ๊ฒ ์ ๋ต์ ๊ฒฐ์ ์ ๋ด๋ฆด ์ ์๊ฒ ๋์์ค๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ฅผ ์ฌ๋ฌ๋ถ์ ํธ๋ ์ด๋ฉ ์ ๋ต์ ํตํฉํจ์ผ๋ก์จ, ์์ฅ์ ์ค๋งํธ ๋จธ๋๊ฐ ์ด๋๋ก ํ๋ฌ๊ฐ๋์ง ํ์
ํ๊ณ ๊ทธ์ ๋ฐ๋ผ ํฌ์ง์
๋ํ ์ ์๋ ๊ฒฝ์ ์ฐ์๋ฅผ ํ๋ณดํ์ธ์.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, Institutional Smart Money Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉํด์ผ ํ๋ฉฐ ํธ๋ ์ด๋ฉ ๊ฒฐ์ ์ ์ ์ ์ผ๋ก ์์กดํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ธฐ๊ด ํ๋ ํจํด์ด ๋ฏธ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ์ง๋ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ํธ๋ ์ด๋ฉ์ ํ์ฉํ์ธ์.
HADES Time Cycle SMT
Overview
The **HADES Time Cycle SMT** indicator is a sophisticated and enhanced version of the original HADES SMT framework, designed for advanced traders seeking to identify high-probability Smart Money Time (SMT) divergences across multiple symbols and timeframes. This private script integrates time cycle analysis, multi-symbol SMT detection, and confluence signals to provide actionable insights for trading major indices like the S&P 500 (ES), Nasdaq (NQ), and Dow Jones (YM). With a customizable dashboard, session anchors, and advanced filtering, this tool is tailored for precision and clarity in fast-moving markets.
---
### Key Features
1. **Multi-Symbol SMT Divergence Detection**
- Compares price action across up to three user-defined symbols (default: ES1!, NQ1!, YM1!) to detect bullish and bearish SMT divergences.
- Enhanced divergence strength calculation ensures only significant divergences are highlighted, with a customizable minimum strength filter (0โ10%).
- Supports up to 50 visible SMT lines with customizable styles (solid, dashed, dotted) and widths for clear visualization.
2. **Time Cycle Analysis**
- Automatically detects cycle periods (5min, 10min, 30min, 90min, 4H, Daily, Weekly) based on the chartโs timeframe or allows manual cycle selection.
- Tracks cycle highs and lows to provide context for SMT signals, with optional visualization of cycle boxes and previous cycle high/low lines.
3. **Confluence Detection**
- Highlights when multiple symbols exhibit SMT divergences simultaneously, increasing the reliability of signals.
- Confluence labels are displayed on the chart with customizable colors and styles for quick identification.
4. **Enhanced Dashboard**
- Displays real-time data on SMT divergences, pivot counts, and current prices for all tracked symbols.
- Customizable location (Top Right, Bottom Right, etc.), text size, and color scheme for a personalized trading experience.
- Shows percentage of pivots with SMT divergences for each symbol, aiding in signal prioritization.
5. **Advanced Filtering and Customization**
- Minimum divergence strength filter to reduce noise and focus on high-impact signals.
- Optional liquidity interaction requirement to ensure SMT signals occur near significant price levels.
- Extensive style options for SMT lines, confluence labels, and dashboard aesthetics.
6. **Alert System**
- Configurable alerts for:
- SMT divergence detection (single symbol).
- Confluence events (multiple symbols).
- New time cycle starts.
- Alerts are designed to integrate seamlessly with TradingViewโs notification system for timely trade execution.
### How It Works
1. **SMT Divergence Detection**
The script identifies divergences by comparing pivot highs and lows between the chartโs price action and up to three user-selected symbols. A divergence occurs when the chartโs price movement opposes the comparison symbolโs movement (e.g., chart makes a higher high while the symbol makes a lower high). Only divergences meeting the minimum strength threshold and optional liquidity interaction criteria are displayed.
2. **Time Cycle Framework**
The indicator tracks price action within defined time cycles (e.g., 30min, 4H, Daily), updating cycle highs and lows dynamically. This contextualizes SMT signals within market moves, improving trade timing.
3. **Confluence and Visualization**
When multiple symbols show SMT divergences at the same pivot, a confluence label highlights the event, signaling higher-probability setups. The dashboard provides a snapshot of SMT activity, pivot counts, and price data across all symbols.
### Ideal Use Cases
- **Day Trading:** Use on lower timeframes (1minโ30min) to capture intraday SMT setups during major sessions (London, NY).
- **Swing Trading:** Apply on higher timeframes (4HโWeekly) to identify longer-term reversal points with confluence.
- **Index Trading:** Optimized for major indices (ES, NQ, YM) but adaptable to other correlated assets.
- **Risk Management:** Combine with session anchors and confluence signals to filter high-probability entries.
---
### Settings Overview
- **Pivot Settings:** Adjust pivot lookback (default: 3) and max SMT lines (default: 5).
- **Symbol Selection:** Enable/disable up to three comparison symbols (default: ES1!, NQ1!, YM1!).
- **Time Cycles:** Toggle auto-cycle detection or manually select cycle periods (5minโWeekly).
- **Display Options:** Show/hide SMT lines, confluence labels, cycle boxes, session anchors, and dashboard.
- **Filters:** Set minimum divergence strength and enable liquidity interaction requirements.
- **Style:** Customize colors, line styles, and dashboard appearance for optimal clarity.
NQ Hourly Edge (By Scalpr)๐ Hourly Edge (Lorden) - Statistical Trading Edge Indicator
Transform your NQ1! trading with data-driven hourly analysis and high-probability setups based on extensive backtesting.
๐ฏ What This Indicator Does
The Hourly Edge indicator identifies high-probability "return to open" scenarios during the New York trading session (8am-4pm ET) specifically for NQ1! (Nasdaq futures). When the current hour opens inside the previous hour's range and then sweeps the previous high or low, statistical data shows strong probabilities of price returning to the hourly open.
๐ Key Features
Statistical Edge Detection
Real-time sweep detection with tick-by-tick accuracy
Probability percentages based on extensive NQ1! backtesting data
Color-coded probability levels: Green (75%+), Yellow (51-74%), Red (<50%)
Status tracking: Waiting โ Swept โ Returned
Visual Trading Tools
Hourly/Custom interval lines with full customization
High/Low tracking with optional current hour hiding
Opening price reference lines
Configurable line styles, colors, and widths
Smart Session Management
NY timezone awareness (8am-4pm ET focus)
"Waiting for 8am" display outside trading hours
20-minute segment analysis for refined probability calculations
๐ง Customization Options
Timeframe Flexibility
Multiple preset intervals: 4H, 1H, 30m, 15m, 10m, 5m
Custom timeframe input (hours + minutes)
Works on any chart timeframe
Display Controls
Show/hide any line type independently
Moveable info box (4 corner positions)
Adjustable text sizes
Historical line limit (1-500 bars)
Line Styling
Individual color settings for each line type
Style options: Solid, Dashed, Dotted
Width control: 1, 2, or 3 pixels
๐ How to Use
Add to NQ1! charts during NY session hours
Watch for sweep notifications in the info box
Check probability percentages for trade confidence
Monitor return status for entry/exit timing
Use alerts for high-probability setups (75%+ edge)
โก Best Practices
Optimal timeframes: 1m-15m for entries, 1H for context
Focus on 75%+ probability setups for highest edge
Wait for "moved away from open" confirmation before expecting returns
Combine with your existing NQ1! strategy for enhanced timing
๐ฏ Perfect For
NQ1! scalpers seeking high-probability entries
Nasdaq day traders wanting statistical edge confirmation
Futures strategy developers incorporating hourly analysis
Risk managers looking for data-driven NQ1! setups
HSI Market sessions and Volume profileHSI Market Sessions and Volume Profile
Unlock deeper market insight with this advanced volume profile indicator tailored for Hang Seng Index (HSI) and other futures instruments. This tool combines session-based volume analysis, customizable profiles, and intraday tracking for superior market structure awareness.
๐ Key Features:
Dynamic Volume Profile: View aggregated buy/sell volume or open interest delta across customizable price zones.
POC, VAH, VAL Lines: Instantly spot the Point of Control, Value Area High, and Value Area Low for each session.
Flexible Session Options: Analyze market behavior by Tokyo, London, New York, or standard timeframes like Daily, Weekly, Monthly, Quarterly, or Yearly.
Live Zone Tracking: Stay ahead with real-time profiling of the current session.
Forex Box Option: Visualize forex trading zones even without volume profiles.
Highly Configurable: Choose from three display modes, resolution settings, and color schemes to fit your style and precision needs.
๐ง Smart Mechanics:
Adaptive to both Volume and Open Interest data.
Built-in smoothing algorithm for cleaner profiles in high-volatility assets.
Auto-reset and draw logic based on session type and bar resolution.
Intrabar data handling for more granular profiling (requires lower timeframe input).
โ
Ideal For:
HSI Futures Traders looking for market session clarity and volume zones.
Volume Profile Analysts needing flexible, session-specific profile rendering.
Day Traders and Swing Traders who value precision in trade planning.
SIP Evaluator and Screener [Trendoscopeยฎ]The SIP Evaluator and Screener is a Pine Script indicator designed for TradingView to calculate and visualize Systematic Investment Plan (SIP) returns across multiple investment instruments. It is tailored for use in TradingView's screener, enabling users to evaluate SIP performance for various assets efficiently.
๐ฒ How SIP Works
A Systematic Investment Plan (SIP) is an investment strategy where a fixed amount is invested at regular intervals (e.g., monthly or weekly) into a financial instrument, such as stocks, mutual funds, or ETFs. The goal is to build wealth over time by leveraging the power of compounding and mitigating the impact of market volatility through disciplined, consistent investing. Hereโs a breakdown of how SIPs function:
Regular Investments : In an SIP, an investor commits to investing a fixed sum at predefined intervals, regardless of market conditions. This consistency helps inculcate a habit of saving and investing.
Cost Averaging : By investing a fixed amount regularly, investors purchase more units when prices are low and fewer units when prices are high. This approach, known as dollar-cost averaging, reduces the average cost per unit over time and mitigates the risk of investing a large amount at a peak price.
Compounding Benefits : Returns generated from the invested amount (e.g., capital gains or dividends) are reinvested, leading to exponential growth over the long term. The longer the investment horizon, the greater the potential for compounding to amplify returns.
Dividend Reinvestment : In some SIPs, dividends received from the underlying asset can be reinvested to purchase additional units, further enhancing returns. Taxes on dividends, if applicable, may reduce the reinvested amount.
Flexibility and Accessibility : SIPs allow investors to start with small amounts, making them accessible to a wide range of individuals. They also offer flexibility in terms of investment frequency and the ability to adjust or pause contributions.
In the context of the SIP Evaluator and Screener , the script simulates an SIP by calculating the number of units purchased with each fixed investment, factoring in commissions, dividends, taxes and the chosen price reference (e.g., open, close, or average prices). It tracks the cumulative investment, equity value, and dividends over time, providing a clear picture of how an SIP would perform for a given instrument. This helps users understand the impact of regular investing and make informed decisions when comparing different assets in TradingViewโs screener. It offers insights into key metrics such as total invested amount, dividends received, equity value, and the number of installments, making it a valuable resource for investors and traders interested in understanding long-term investment outcomes.
๐ฒ Key Features
Customizable Investment Parameters: Users can define the recurring investment amount, price reference (e.g., open, close, HL2, HLC3, OHLC4), and whether fractional quantities are allowed.
Commission Handling: Supports both fixed and percentage-based commission types, adjusting calculations accordingly.
Dividend Reinvestment: Optionally reinvests dividends after a user-specified period, with the ability to apply tax on dividends.
Time-Bound Analysis: Allows users to set a start year for the analysis, enabling historical performance evaluation.
Flexible Dividend Periods: Dividends can be evaluated based on bars, days, weeks, or months.
Visual Outputs: Plots key metrics like total invested amount, dividends, equity value, and remainder, with customizable display options for clarity in the data window and chart.
๐ฒ Using the script as an indicator on Tradingview Supercharts
In order to use the indicator on charts, do the following.
Load the instrument of your choice - Preferably a stable stocks, ETFs.
Chose monthly timeframe as lower timeframes are insignificant in this type of investment strategy
Load the indicator SIP Evaluator and Screener and set the input parameters as per your preference.
Indicator plots, investment value, dividends and equity on the chart.
๐ฒ Visualizations
Installments : Displays the number of SIP installments (gray line, visible in the data window).
Invested Amount : Shows the cumulative amount invested, excluding reinvested dividends (blue area plot).
Dividends : Tracks total dividends received (green area plot).
Equity : Represents the current market value of the investment based on the closing price (purple area plot).
Remainder : Indicates any uninvested cash after each installment (gray line, visible in the data window).
๐ฒ Deep dive into the settings
The SIP Evaluator and Screener offers a range of customizable settings to tailor the Systematic Investment Plan (SIP) simulation to your preferences. Below is an explanation of each setting, its purpose, and how it impacts the analysis:
๐ฏ Duration
Start Year (Default: 2020) : Specifies the year from which the SIP calculations begin. When Start Year is enabled via the timebound option, the script only considers data from the specified year onward. This is useful for analyzing historical SIP performance over a defined period. If disabled, the script uses all available data.
Timebound (Default: False) : A toggle to enable or disable the Start Year restriction. When set to False, the SIP calculation starts from the earliest available data for the instrument.
๐ฏ Investment
Recurring Investment (Default: 1000.0) : The fixed amount invested in each SIP installment (e.g., $1000 per period). This represents the regular contribution to the SIP and directly influences the total invested amount and quantity purchased.
Allow Fractional Qty (Default: True) : When enabled, the script allows the purchase of fractional units (e.g., 2.35 shares). If disabled, only whole units are purchased (e.g., 2 shares), with any remaining funds carried forward as Remainder. This setting impacts the precision of investment allocation.
Price Reference (Default: OPEN): Determines the price used for purchasing units in each SIP installment. Options include:
OPEN : Uses the opening price of the bar.
CLOSE : Uses the closing price of the bar.
HL2 : Uses the average of the high and low prices.
HLC3 : Uses the average of the high, low, and close prices.
OHLC4 : Uses the average of the open, high, low, and close prices. This setting affects the cost basis of each purchase and, consequently, the total quantity and equity value.
๐ฏ Commission
Commission (Default: 3) : The commission charged per SIP installment, expressed as either a fixed amount (e.g., $3) or a percentage (e.g., 3% of the investment). This reduces the amount available for purchasing units.
Commission Type (Default: Fixed) : Specifies how the commission is calculated:
Fixed ($) : A flat fee is deducted per installment (e.g., $3).
Percentage (%) : A percentage of the investment amount is deducted as commission (e.g., 3% of $1000 = $30). This setting affects the net amount invested and the overall cost of the SIP.
๐ฏ Dividends
Apply Tax On Dividends (Default: False) : When enabled, a tax is applied to dividends before they are reinvested or recorded. The tax rate is set via the Dividend Tax setting.
Dividend Tax (Default: 47) : The percentage of tax deducted from dividends if Apply Tax On Dividends is enabled (e.g., 47% tax reduces a $100 dividend to $53). This reduces the amount available for reinvestment or accumulation.
Reinvest Dividends After (Default: True, 2) : When enabled, dividends received are reinvested to purchase additional units after a specified period (e.g., 2 units of time, defined by Dividends Availability). If disabled, dividends are tracked but not reinvested. Reinvestment increases the total quantity and equity over time.
Dividends Availability (Default: Bars) : Defines the time unit for evaluating when dividends are available for reinvestment. Options include:
Bars : Based on the number of chart bars.
Weeks : Based on weeks.
Months : Based on months (approximated as 30.5 days). This setting determines the timing of dividend reinvestment relative to the Reinvest Dividends After period.
๐ฏ How Settings Interact
These settings work together to simulate a realistic SIP. For example, a $1000 recurring investment with a 3% commission and fractional quantities enabled will calculate the number of units purchased at the chosen price reference after deducting the commission. If dividends are reinvested after 2 months with a 47% tax, the script fetches dividend data, applies the tax, and adds the net dividend to the investment amount for that period. The Start Year and Timebound settings ensure the analysis aligns with the desired timeframe, while the Dividends Availability setting fine-tunes dividend reinvestment timing.
By adjusting these settings, users can model different SIP scenarios, compare performance across instruments in TradingViewโs screener, and gain insights into how commissions, dividends, and price references impact long-term returns.
๐ฒ Using the script with Pine Screener
The main purpose of developing this script is to use it with Tradingview Pine Screener so that multiple ETFs/Funds can be compared.
In order to use this as a screener, the following things needs to be done.
Add SIP Evaluator and Screener to your favourites (Required for it to be added in pine screener)
Create a watch list containing required instruments to compare
Open pine screener from Tradingview main menu Products -> Screeners -> Pine or simply load the URL - www.tradingview.com
Select the watchlist created from Watchlist dropdown.
Chose the SIP Evaluator and Screener from the "Choose Indicator" dropdown
Set timeframe to 1 month and update settings as required.
Press scan to display collected data on the screener.
๐ฒ Use Case
This indicator is ideal for educational purposes, allowing users to experiment with SIP strategies across different instruments. It can be applied in TradingViewโs screener to compare SIP performance for stocks, ETFs, or other assets, helping users understand how factors like commissions, dividends, and price references impact returns over time.
Rapid Ultimat Trading ZonesCRITICAL: The "Set It and Forget It" Timezone System
Have you ever had your session indicators become misaligned when London or New York changes clocks for Daylight Saving Time (DST)? This is a universal problem for traders, forcing you to manually adjust settings twice a year to avoid missing key trading windows. Itโs confusing, frustrating, and can lead to costly mistakes.
The Rapid Ultimate Trading Zones indicator permanently solves this issue. We have engineered it with a powerful 'Set It and Forget It' timezone system that provides unmatched accuracy and peace of mind.
How It Works : Automatic DST Adjustment
Each Killzone and each Opening Range in this indicator has its own independent timezone setting. You simply match each session to its real-world location one time. From that moment on, the indicator handles everything automatically.
For the London Session: Set its timezone to Europe/London. The indicator will automatically handle the switch between GMT (winter) and BST (summer). You do not need to do anything.
For the New York Session: Set its timezone to America/New_York. The indicator will automatically handle the switch between EST (winter) and EDT (summer).
Once configured, your session timings will remain perfectly accurate forever. No more manual adjustments. No more confusion. Just precise, reliable session data, day in and day out.
Here is the complete user guide with the newly emphasized section integrated for your convenience.
Rapid Ultimate Trading Zones - User Guide
Created by Rapid Lodgements
1. Introduction: Your All-in-One Session & Levels Tool
Tired of manually marking out trading sessions and key levels every day? The Rapid Ultimate Trading Zones indicator is a comprehensive, institutional-grade tool designed to automatically visualize the most important price and time levels on your chart.
From London Killzone highs and lows to multiple, flexible Opening Ranges, this indicator provides a clean, automated, and fully customizable solution to help you focus on what matters most: your trading.
2. CRITICAL: The "Set It and Forget It" Timezone System
Have you ever had your session indicators become misaligned when London or New York changes clocks for Daylight Saving Time (DST)? This is a universal problem for traders, forcing you to manually adjust settings twice a year to avoid missing key trading windows. Itโs confusing, frustrating, and can lead to costly mistakes.
The Rapid Ultimate Trading Zones indicator permanently solves this issue. We have engineered it with a powerful 'Set It and Forget It' timezone system that provides unmatched accuracy and peace of mind.
How It Works: Automatic DST Adjustment
Each Killzone and each Opening Range in this indicator has its own independent timezone setting. You simply match each session to its real-world location one time. From that moment on, the indicator handles everything automatically.
For the London Session: Set its timezone to Europe/London. The indicator will automatically handle the switch between GMT (winter) and BST (summer). You do not need to do anything.
For the New York Session: Set its timezone to America/New_York. The indicator will automatically handle the switch between EST (winter) and EDT (summer).
Once configured, your session timings will remain perfectly accurate forever. No more manual adjustments. No more confusion. Just precise, reliable session data, day in and day out.
3. Feature Breakdown
Killzones & Killzone Pivots
This is the core feature of the indicator. Killzones are specific, high-volume time windows for the major market sessions. The indicator will automatically draw a box around these times and mark their high and low price pivots.
Killzones Settings:
Enable/disable each session (Asia, London, NY AM, NY Lunch, NY PM) with the checkbox.
Customize the Session start and end times.
Crucially, set the Timezone for each session to its local market time.
Killzone Pivots Settings:
Labels & Colors: Customize the text label and color for each Killzone's high and low pivot lines. The color you choose here controls the color for the pivots and the session box.
Extend Pivots: Choose if the pivot lines should disappear after being touched (Until Mitigated) or continue to extend.
Alert Broken Pivots: Enable this to receive a TradingView alert whenever price breaks a recent Killzone high or low.
Show Midpoints: Optionally display the 50% level between a Killzone's high and low.
Flexible Opening Ranges (Up to 3 Instances)
This powerful feature allows you to track the initial price range of up to three different sessions independently.
Use Cases:
Track the first 15 minutes of the New York session with Opening Range 1.
Track the first hour of the London session with Opening Range 2.
Track the Asian session range with Opening Range 3.
Configuration (for each OR):
Enable OR: Toggle the specific range on or off.
Session Start-End: Defines the main session you are analyzing.
Timezone: Set the correct local timezone for the session you are tracking.
Range Minutes: The most important setting. Defines how long the opening range lasts (e.g., 15 for the first 15 minutes).
Extend OR lines right: Extends the high and low lines into the future.
Custom Lines & Timestamps
For marking your own specific levels and times that are independent of the Killzones.
Dedicated Timezone : This entire section is controlled by one separate timezone menu, which is set to GMT+0 by default. All times you enter here will be interpreted based on this setting.
Horizontal Lines (H-Line): Draws a horizontal line at the open price of the candle that occurs at your specified time. You get two independent lines.
Vertical Lines (V-Line): Draws a vertical line at the time you specify. You get two independent lines.
Daily, Weekly, Monthly (DWM) Levels
For a higher-timeframe perspective, this feature automatically plots:
Daily, Weekly, and Monthly Opening Prices.
Previous Day, Week, and Month Highs and Lows.
Vertical line separators for the start of each Day, Week, or Month.
4. General Settings
Session Drawing Limit: This is your master history control. It sets how many past days of drawings (for Killzones, Opening Ranges, etc.) will be kept on your chart. A lower number improves performance.
Timeframe Limit: To keep your chart clean, drawings will not appear on timeframes greater than or equal to the one you select here.
Label Size / Text Color: Controls the appearance of all text and labels drawn by the indicator.
Real Cumulative Delta VolumeReal Cumulative Delta Volume (CDV) - Enhanced Volume Flow Analysis
What This Indicator Does
This indicator calculates cumulative delta volume using an enhanced approximation methodology that analyzes buying and selling pressure within each candlestick. It provides traders with insights into volume flow dynamics by tracking the cumulative difference between estimated buy and sell volumes over time.
Technical Methodology & Calculation Details
Volume Distribution Algorithm: The indicator uses a price-weighted distribution method to estimate buy and sell volumes within each bar:
Delta multiplier = (close - low) / (high - low)
Buy volume = total volume ร delta multiplier
Sell volume = total volume ร (1 - delta multiplier)
Net delta = buy volume - sell volume
Cumulative Delta Tracking: Unlike basic volume indicators, this approach maintains a running cumulative total of net delta values:
CDV Open = Previous CDV Close
CDV Close = Previous CDV Close + Net Delta
CDV High/Low = Previous CDV Close + estimated intrabar extremes
Enhanced Features Beyond Standard CDV:
Divergence Detection: Automatically identifies when price direction conflicts with volume flow direction
Body Size Analysis: Compares current vs previous CDV candle body sizes to detect momentum changes
Conditional Color Coding: Special visual alerts when specific price/volume relationships occur
Signal Generation: Buy/sell signals based on divergence resolution patterns
How This Differs from Basic Cumulative Delta
Standard Limitations Addressed:
Most cumulative delta indicators on TradingView use simple uptick/downtick classification. This indicator enhances the approach by:
Price-Weighted Distribution: Instead of assuming 50/50 volume splits, uses the bar's price action (close relative to high/low) to estimate volume distribution
OHLC Representation: Displays CDV as candlesticks rather than just a line, showing intrabar volume dynamics
Integrated Divergence Detection: Built-in algorithms identify price/volume conflicts automatically
Advanced Signal Logic: Multi-condition signal generation beyond simple crossovers
Visual Enhancement Features:
Dual display modes (candlestick or line)
Special color coding for divergence conditions
Moving average overlays for trend confirmation
Optional buy/sell signal markers
Signal Generation Logic
Buy Signals Generated When:
Previous bar showed bearish divergence (price down, CDV up)
Current CDV candle shows specific color condition
Current CDV body is contained within previous divergence body
Price closes above previous high
Sell Signals Generated When:
Previous bar showed bullish divergence (price up, CDV down)
Current CDV candle shows specific color condition
Current CDV body is contained within previous divergence body
Price closes below previous low
Trading Applications
Volume Flow Analysis:
Identify periods of hidden accumulation or distribution
Spot when large players are buying/selling against the price trend
Confirm trend strength through volume alignment
Divergence Trading:
Early warning system for potential reversals
Identify when price movements lack volume support
Time entries based on divergence resolution
Trend Confirmation:
Use CDV direction to confirm price trend validity
Moving averages on CDV provide additional trend context
Volume momentum changes often precede price momentum shifts
Display Options & Settings
Visual Modes:
Candlestick: Full OHLC representation of cumulative delta
Line: Simplified cumulative line display
Moving Averages:
Optional SMA overlays (default: 50, 200 periods)
Optional EMA overlays (default: 50, 200 periods)
Customizable periods and colors
Signal Controls:
Toggle buy/sell signals on/off independently
Customizable colors for all visual elements
Adjustable transparency and styling options
Usage Guidelines & Limitations
Best Practices:
Most effective on timeframes 15m and higher due to volume data quality
Works best in liquid markets with consistent volume
Should be used alongside price action analysis and support/resistance levels
Signals are more reliable during trending market conditions
Technical Limitations:
Uses approximation methods due to lack of tick-by-tick data in Pine Script
Volume distribution estimates may be less accurate during gaps or low-volume periods
Effectiveness depends on quality of volume data from your broker/exchange
Market Context Considerations:
Less reliable during market holidays or extremely low volume sessions
News events and earnings can cause volume anomalies that affect calculations
Consider market microstructure when interpreting signals on very short timeframes
Important Disclaimers
Educational Purpose: This indicator is designed for educational and analysis purposes. It does not constitute financial or investment advice.
Risk Warning: All trading involves risk of loss. Past performance of any indicator signals does not guarantee future results.
Testing Required: Users should thoroughly backtest and forward test this indicator before using it in live trading. Paper trading is recommended to understand signal behavior.
No Guarantees: The developer makes no claims about profitability or accuracy. Market conditions change and historical effectiveness may not continue.
Proper Usage: This is a technical analysis tool, not a complete trading system. Always use appropriate risk management, position sizing, and combine with other forms of analysis.
Developer: Delta Merge Professional Trading Applications
Access Instructions: Send a private message through TradingView explaining your trading experience and how you plan to use this indicator. Access is provided to traders who demonstrate understanding of volume analysis concepts and proper risk management practices.
StatMetricsLibrary "StatMetrics"
A utility library for common statistical indicators and ratios used in technical analysis.
Includes Z-Score, correlation, PLF, SRI, Sharpe, Sortino, Omega ratios, and normalization tools.
zscore(src, len)
โโCalculates the Z-score of a series
โโParameters:
โโโโ src (float) : The input price or series (e.g., close)
โโโโ len (simple int) : The lookback period for mean and standard deviation
โโReturns: Z-score: number of standard deviations the input is from the mean
corr(x, y, len)
โโComputes Pearson correlation coefficient between two series
โโParameters:
โโโโ x (float) : First series
โโโโ y (float) : Second series
โโโโ len (simple int) : Lookback period
โโReturns: Correlation coefficient between -1 and 1
plf(src, longLen, shortLen, smoothLen)
โโCalculates the Price Lag Factor (PLF) as the difference between long and short Z-scores, normalized and smoothed
โโParameters:
โโโโ src (float) : Source series (e.g., close)
โโโโ longLen (simple int) : Long Z-score period
โโโโ shortLen (simple int) : Short Z-score period
โโโโ smoothLen (simple int) : Hull MA smoothing length
โโReturns: Smoothed and normalized PLF oscillator
sri(signal, len)
โโComputes the Statistical Reliability Index (SRI) based on trend persistence
โโParameters:
โโโโ signal (float) : A price or signal series (e.g., smoothed PLF)
โโโโ len (simple int) : Lookback period for smoothing and deviation
โโReturns: Normalized trend reliability score
sharpe(src, len)
โโCalculates the Sharpe Ratio over a period
โโParameters:
โโโโ src (float) : Price series (e.g., close)
โโโโ len (simple int) : Lookback period
โโReturns: Sharpe ratio value
sortino(src, len)
โโCalculates the Sortino Ratio over a period, using only downside volatility
โโParameters:
โโโโ src (float) : Price series
โโโโ len (simple int) : Lookback period
โโReturns: Sortino ratio value
omega(src, len)
โโCalculates the Omega Ratio as the ratio of upside to downside return area
โโParameters:
โโโโ src (float) : Price series
โโโโ len (simple int) : Lookback period
โโReturns: Omega ratio value
beta(asset, benchmark, len)
โโCalculates beta coefficient of asset vs benchmark using rolling covariance
โโParameters:
โโโโ asset (float) : Series of the asset (e.g., close)
โโโโ benchmark (float) : Series of the benchmark (e.g., SPX close)
โโโโ len (simple int) : Lookback window
โโReturns: Beta value (slope of linear regression)
alpha(asset, benchmark, len)
โโCalculates rolling alpha of an asset relative to a benchmark
โโParameters:
โโโโ asset (float) : Series of the asset (e.g., close)
โโโโ benchmark (float) : Series of the benchmark (e.g., SPX close)
โโโโ len (simple int) : Lookback window
โโReturns: Alpha value (excess return not explained by Beta exposure)
skew(x, len)
โโComputes skewness of a return series
โโParameters:
โโโโ x (float) : Input series (e.g., returns)
โโโโ len (simple int) : Lookback period
โโReturns: Skewness value
kurtosis(x, len)
โโComputes kurtosis of a return series
โโParameters:
โโโโ x (float) : Input series (e.g., returns)
โโโโ len (simple int) : Lookback period
โโReturns: Kurtosis value
cv(x, len)
โโCalculates Coefficient of Variation
โโParameters:
โโโโ x (float) : Input series (e.g., returns or prices)
โโโโ len (simple int) : Lookback period
โโReturns: CV value
autocorr(x, len)
โโCalculates autocorrelation with 1-lag
โโParameters:
โโโโ x (float) : Series to test
โโโโ len (simple int) : Lookback window
โโReturns: Autocorrelation at lag 1
stderr(x, len)
โโCalculates rolling standard error of a series
โโParameters:
โโโโ x (float) : Input series
โโโโ len (simple int) : Lookback window
โโReturns: Standard error (std dev / sqrt(n))
info_ratio(asset, benchmark, len)
โโCalculates the Information Ratio
โโParameters:
โโโโ asset (float) : Asset price series
โโโโ benchmark (float) : Benchmark price series
โโโโ len (simple int) : Lookback period
โโReturns: Information ratio (alpha / tracking error)
tracking_error(asset, benchmark, len)
โโMeasures deviation from benchmark (Tracking Error)
โโParameters:
โโโโ asset (float) : Asset return series
โโโโ benchmark (float) : Benchmark return series
โโโโ len (simple int) : Lookback window
โโReturns: Tracking error value
max_drawdown(x, len)
โโComputes maximum drawdown over a rolling window
โโParameters:
โโโโ x (float) : Price series
โโโโ len (simple int) : Lookback window
โโReturns: Rolling max drawdown percentage (as a negative value)
zscore_signal(z, ob, os)
โโConverts Z-score into a 3-level signal
โโParameters:
โโโโ z (float) : Z-score series
โโโโ ob (float) : Overbought threshold
โโโโ os (float) : Oversold threshold
โโReturns: -1, 0, or 1 depending on signal state
r_squared(x, y, len)
โโCalculates rolling R-squared (coefficient of determination)
โโParameters:
โโโโ x (float) : Asset returns
โโโโ y (float) : Benchmark returns
โโโโ len (simple int) : Lookback window
โโReturns: R-squared value (0 to 1)
entropy(x, len)
โโApproximates Shannon entropy using log returns
โโParameters:
โโโโ x (float) : Price series
โโโโ len (simple int) : Lookback period
โโReturns: Approximate entropy
zreversal(z)
โโDetects Z-score reversals to the mean
โโParameters:
โโโโ z (float) : Z-score series
โโReturns: +1 on upward reversal, -1 on downward
momentum_rank(x, len)
โโCalculates relative momentum strength
โโParameters:
โโโโ x (float) : Price series
โโโโ len (simple int) : Lookback window
โโReturns: Proportion of lookback where current price is higher
normalize(x, len)
โโNormalizes a series to a 0โ1 range over a period
โโParameters:
โโโโ x (float) : The input series
โโโโ len (simple int) : Lookback period
โโReturns: Normalized value between 0 and 1
composite_score(score1, score2, score3)
โโCombines multiple normalized scores into a composite score
โโParameters:
โโโโ score1 (float)
โโโโ score2 (float)
โโโโ score3 (float)
โโReturns: Average composite score
Time-Weighted Fractality (TWF)The Time-Weighted Fractality (TWF) indicator is your secret weapon to measure how stable or volatile a market truly is โ by tracking how long trends persist, and weighting that against recent history.
Why you need TWF in your toolkit:
Markets arenโt always trending or choppy in a simple on/off way. TWF quantifies trend duration dynamics โ revealing when the market is locked into a strong, stable trend or stuck in erratic, unpredictable moves.
How it works โ sharp and simple:
Trend Duration Tracking:
Measures how many bars since the last highest high changed within a specified lookback. This tells you how long the current trend has been running.
Smoothed Average Duration:
Uses an EMA to smooth trend duration, providing a reliable baseline of recent trend behavior.
Ratio Calculation (TWF):
The core metric โ current trend duration divided by average trend duration.
TWF > 1.2 means the current trend is stronger and more persistent than usual.
TWF < 0.8 signals a volatile, choppy market struggling to hold any trend.
What you see on the chart:
A clean TWF line plotted with clear zones:
Green zone = Strong, stable trend environment
Red zone = Choppy, volatile conditions to avoid or trade cautiously
Background shading highlights these zones for instant clarity
Markers appear at critical points for quick visual cues
Why traders swear by it:
โ
Reliable trend confirmation: Avoid false signals by only acting when TWF confirms sustained market momentum.
โ
Timing tool: Perfect for spotting when a trend is building strength or losing grip โ invaluable for entries and exits.
โ
Versatile: Works on all timeframes and instruments, from forex to stocks to crypto.
โ
Simple but powerful: Combines fractal concept with time weighting and smoothing โ giving you a next-level understanding of market rhythm.
Pro tip:
Use TWF alongside your favorite price or volume-based indicators for unmatched precision. For example, confirm breakouts only when TWF signals a stable trend zone to increase your win rate.
In a sea of noise, TWF cuts through to give you real, actionable insight. Trust it, build your strategy around it โ itโs that good.
True Range eXpansion๐ฏ๏ธ TRX โ True Range eXpansion
Clean Candle Bodies ยท Volatility Bands ยท Adaptive Range Envelope System
Not your grandfatherโs candles. Not your brokerageโs bands.
----------------------------------------------------
TRX begins with a simple concept: visualize the true range of every candle, without the noise of flickering wicks.
From there, it grows into a fully adaptive price visualization framework.
What started as a candle-only visualizer evolved into a modular, user-controlled price engine.
From wickless candle clarity to dynamic volatility envelopes, TRX adapts to you.
There are plenty of band and channel indicators out there โ Bollinger, Keltner, Donchian, Envelope, the whole crew.
But none of them are built on the true candle range, adaptive ATR shaping, and full user control like TRX.
This isnโt just another indicator โ itโs a new framework.
Most bands and channels are based on close price and statistical deviation โ useful, but limited.
TRX uses the full true range of each candle as its foundation, then applies customizable smoothing and directional ATR scaling to form a dynamic, volatility-reactive envelope.
The result? Bands that breathe with the market โ not lag behind it.
----------------------------------------------------
๐ง Core Features:
๐ฏ๏ธ True Range Candles โ Each candle is plotted from low to high, body-only, colored by open/close.
๐ Adjustable High/Low Moving Averages โ Select your smoothing style: SMA, EMA, WMA, RMA, or HMA.
๐ฌ๏ธ ATR-Based Expansion โ Bands dynamically breathe based on market volatility.
๐ Per-Band Multipliers โ Fine-tune expansion individually for the upper and lower bands.
โ๏ธ Basis Line โ Optional centerline between bands for structure tracking and equilibrium zones.
๐๏ธ Full Visual Control โ Width, transparency, color, on/off toggles for each element.
----------------------------------------------------
๐ง Default Use Case:
With the included default settings, TRX behaves like an evolved Bollinger Band system โ based on True Range candle structure, not just close price and standard deviation.
----------------------------------------------------
๐ How to Zero Out the Bands (for Minimalist Use):
Want just candles? A clean MA? Single band? You got it.
โค Use TRX like a clean moving average:
โข Set ATR Multiplier to 0
โข Set both Band ATR Adjustments to 0
โข Leave the Basis Line ON or OFF โ your call
โค Show only candles (no bands at all):
โข Turn off "Show High/Low MAs"
โข Turn off Basis Line
โค Single-line ceiling or floor tracking:
โข Set one bandโs Transparency to 100
โข Use the remaining band as a price envelope or support/resistance guide
----------------------------------------------------
๐งฌ Notes:
TRX can be made:
โข Spiky or silky (via smoothing & ATR)
โข Wide or tight (via multipliers)
โข Subtle or aggressive (via color/transparency)
โข Clean as a compass or dirty as a chaos meter
Built by accident. Tuned with intention.
Released to the world as one of the most adaptable and expressive visual overlays ever made.
Created by Sherlock_MacGyver
Circuit % Marker w/ Mirrored Arrows๐ Indian Market Circuit Limit Change Tracker
This indicator automatically tracks circuit limit changes (price bands) as applied in NSE/BSE stocks.
๐ง How It Works:
Start from a user-defined initial circuit limit (e.g. 10%)
If the upper or lower limit is hit, the script waits for a user-defined cooling period (e.g. 5 trading days)
After that, it automatically adjusts to the next lower or higher band (e.g. from 10% to 5%)
Shows a visual label with the current circuit % right on the chart โ placed above or below candles for better visibility
๐ง Custom Inputs:
Starting Circuit % โ choose between standard NSE/BSE values (20%, 10%, 5%, 2%)
Cooling Days โ how many days must pass after a circuit hit before itโs allowed to change again
Label Positioning, Color, and Size โ fully customizable to suit your chart style
๐ซ No Clutter:
Doesnโt draw circuit limit lines
Just clean, small labels at key turning points โ as seen in real trading dashboards
๐ Notes:
NSE and BSE manually assign circuit bands โ this script does not fetch live exchange data
Use it as a visual tracker and simulator of how circuit behavior would evolve under fixed rules
Consecutive Candles Above/Below EMADescription:
This indicator identifies and highlights periods where the price remains consistently above or below an Exponential Moving Average (EMA) for a user-defined number of consecutive candles. It visually marks these sustained trends with background colors and labels, helping traders spot strong bullish or bearish market conditions. Ideal for trend-following strategies or identifying potential trend exhaustion points, this tool provides clear visual cues for price behavior relative to the EMA.
How It Works:
EMA Calculation: The indicator calculates an EMA based on the user-specified period (default: 100). The EMA is plotted as a blue line on the chart for reference.
Consecutive Candle Tracking: It counts how many consecutive candles close above or below the EMA:
If a candle closes below the EMA, the "below" counter increments; any candle closing above resets it to zero.
If a candle closes above the EMA, the "above" counter increments; any candle closing below resets it to zero.
Highlighting Trends: When the number of consecutive candles above or below the EMA meets or exceeds the user-defined threshold (default: 200 candles):
A translucent red background highlights periods where the price has been below the EMA.
A translucent green background highlights periods where the price has been above the EMA.
Labeling: When the required number of consecutive candles is first reached:
A red downward arrow label with the text "โ Below" appears for below-EMA streaks.
A green upward arrow label with the text "โ Above" appears for above-EMA streaks.
Usage:
Trend Confirmation: Use the highlights and labels to confirm strong trends. For example, 200 candles above the EMA may indicate a robust uptrend.
Reversal Signals: Prolonged streaks (e.g., 200+ candles) might suggest overextension, potentially signaling reversals.
Customization: Adjust the EMA period to make it faster or slower, and modify the candle count to make the indicator more or less sensitive to trends.
Settings:
EMA Length: Set the period for the EMA calculation (default: 100).
Candles Count: Define the minimum number of consecutive candles required to trigger highlights and labels (default: 200).
Visuals:
Blue EMA line for tracking the moving average.
Red background for sustained below-EMA periods.
Green background for sustained above-EMA periods.
Labeled arrows to mark when the streak threshold is met.
This indicator is a powerful tool for traders looking to visualize and capitalize on persistent price trends relative to the EMA, with clear, customizable signals for market analysis.
Explain EMA calculation
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Sniper Core XT [Indicator Edition]๐ซ SNIPER CORE XT โ ZLEMA-Based Trend, Momentum & Volume Confirmation
โ๏ธ How It Works (What Makes It Unique):
Sniper Core XT is a precision crypto trading tool that visualizes real-time trend, momentum, volume, and volatility confirmation. Built from the ground up using Pine Script v5, it is optimized for semi-manual or alert-driven trading on the 1H timeframe.
Instead of relying on indicator mashups, Sniper Core XT builds its logic around the ZLEMA (Zero Lag Exponential Moving Average) trend engine, refined with strict momentum, volume, and volatility filters to highlight only high-probability trading opportunities.
๐ง Core Logic & Components:
ZLEMA Trend Engine:
Plots fast, slow, and signal ZLEMA lines to detect clean trend transitions with minimal lag, enabling early, reliable trend identification.
Vortex Direction & Strength Filter:
Confirms directional bias based on Vortex Indicator internals. Signals only activate when vortex strength exceeds a customizable threshold and aligns with ZLEMA trend.
Volume Confirmation via ZLEMA of Volume:
Uses adaptive volume confirmation, requiring current volume to exceed a ZLEMA-smoothed threshold to validate breakout moves.
Normalized Volatility-Adjusted Momentum Filter:
Measures momentum via a normalized, ATR-adjusted rate of change. Filters out low-momentum or exhausted moves before they trigger false signals.
Real-Time Take Profit Tracking:
Plots real-time TP1 and TP2 targets after entry. Visual labels confirm when TP1 or TP2 are hit, without relying on broker execution.
Non-Canvas Dashboard:
Includes a fully integrated live table showing:
Current Signal (Long, Short, None)
Entry Price
TP1/TP2 Status
Trend Direction
Bars Since Entry
Exit Signals for Trend Weakness:
Plots exit labels when trend strength fades or reverses, allowing traders to manually close positions with precision.
๐งช Indicator Use & Applications:
Designed for manual or semi-automated crypto trading
Ideal for trending pairs and medium-high volatility environments
Compatible with external bots through alerts (WunderTrading, PineConnector, 3Commas, etc.)
Suited for 1H timeframe, but adjustable
๐ก๏ธ Indicator Style:
Feature Value
Repainting โ Never
Cooldown Mechanism โ
1-Bar
TP1/TP2 Tracking โ
Built-in
Alert Compatibility โ
Full support
Recommended Timeframe ๐ 1H
Entry & Exit Labels โ
โ ๏ธ Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always practice proper risk management and confirm entries with your own analysis before executing trades.
Hyperion Crypto Matrix: Ultimate Market Sentinel
// ๐ฐ HYPERION CRYPTO MATRIX: ULTIMATE MARKET SENTINEL
// โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
/*
The **Hyperion Crypto Matrix** is an advanced crypto trend-following strategy built from the ground up for precision, not just performance. Unlike traditional โmashupsโ of indicators, this system was **engineered around synergy**โeach module is purpose-driven and non-redundant, delivering fast, filtered, high-probability signals in volatile crypto markets.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ STRATEGY PURPOSE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Hyperion is built for **1-hour crypto trading** and optimizes for:
- High Win Rate
- Early Exits on Trend Weakness
- Partial Position Scaling (TP1/TP2)
- Real-time trade performance tracking
It is ideal for traders who want **real-time trade logic** with:
- No repainting
- No overfitting
- Realistic entry/exit structure
- No same-bar entry & exit (enforces 1-bar delay)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง WHAT MAKES IT ORIGINAL
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Each component is **custom-integrated** with strict role separation:
- **Trend Direction:** Enhanced Wave Oscillator (EWO) with adaptive band filtering
- **Trend Strength Memory:** Relative Momentum Index (RMI) with threshold locking
- **Volume Confirmation:** Historical relative volume spike filter using SMA multiplier
- **Momentum Weakness Exit:** Combined ROC and CCI to detect early reversal before price turns
- **Position Tracking:** TP1 (50% exit), TP2 (100% close) with cooldown to prevent whipsaws
- **Dynamic Dashboard:** Real-time stats including win rate, PnL efficiency, and TP hit status
These arenโt just โplugged inโ indicatorsโthey are synchronized to **filter, confirm, and adapt** to price action with timing logic that prevents premature entries or late exits.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ INDICATOR LOGIC OVERVIEW
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1. **๐ Enhanced Wave Oscillator (EWO):**
- Calculates the delta between a fast and slow EMA (5 vs. 34 by default)
- Uses a dynamic banding system to detect peaks/troughs and prevent entries during exhaustion
- Filters only active, accelerating trends โ reducing false positives
2. **๐ง Relative Momentum Index (RMI):**
- Similar to RSI but with a forward-looking momentum comparison
- Confirms trend *persistence* over time, preventing entries on short-term flips
- Long entries only allowed when RMI > threshold (default 55), short if RMI < 45
3. **๐ Volume Spike Filter:**
- Uses 20-bar SMA of volume and a multiplier (1.5x default) to detect **relative volume breakouts**
- Prevents trades in low-liquidity environments (e.g., chop, overnight sessions)
4. **๐ Weak Trend Close Logic:**
- Combines Rate of Change (ROC) and Commodity Channel Index (CCI)
- Detects early signs of momentum deterioration, often before the trend visually reverses
- Triggers exit before price falls into sideways zones
5. **๐ฏ Take Profit System (TP1/TP2):**
- TP1: 50% position closed at +2% (default)
- TP2: Full close at +4% (default)
- Uses `strategy.exit()` with limit orders based on entry price
6. **โฑ๏ธ Reentry Cooldown:**
- After TP2 or weak trend exit, system enforces a 1-bar delay before reentry
- Avoids frequent churn in flat or noisy environments
7. **๐ Real-Time Dashboard (Optional):**
- Displays live trade status, PnL metrics, TP1/TP2 hit status, bars since entry, win rate %, and profit factor
- Color-coded background to highlight active trade direction (green for long, red for short)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ HOW TO USE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1. Load on a 1H chart of a crypto asset with good liquidity (e.g., BTC, ETH, LINK)
2. Toggle between \"Long Only\", \"Short Only\", or \"Both\" in the settings
3. Use default TP1/TP2 percentages, or tune them for the assetโs volatility
4. Observe trade execution and live stats on the optional dashboard
5. Review the bar coloring for EWO trend bias confirmation
> Stop-loss logic is not included. This strategy assumes exits occur at TP2 or on trend/momentum failure.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ TRADINGVIEW COMPLIANCE & USAGE DISCLAIMER
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
This strategy does **not repaint**, is fully compatible with **TradingView backtesting**, and adheres to all known Pine Script execution rules.
โ ๏ธ **Disclaimer:** This script is for educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk. Always test strategies on a demo account and consult with a financial advisor before live trading.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐งช CONCLUSION
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The **Hyperion Crypto Matrix** is not a mashupโitโs a **modular, optimized, logic-driven system** crafted for real-world crypto trading. Every component has been tuned for function, not fluff. Whether you're backtesting or live trading, this system is designed to give you **structured, actionable edge** with live feedback every step of the way.
*/
