Easy [CHE] Easy โ Minimalist Pine Script for detecting EMA direction changes to define fixed price zones for simple support and resistance visualization, ideal for manual trading workflows.
Summary
This indicator's programming is kept minimalist and super simple, with core logic in under 20 lines for easy comprehension and modification. It creates fixed price zones based on divergences between a base exponential moving average and its smoother counterpart, helping traders spot potential consolidation or reversal areas without dynamic adjustments. By locking the zone at the high and low of the signal bar, it avoids over-expansion in volatile conditions, offering a stable reference line colored by price position relative to the zone. This approach differs from expanding channels by prioritizing simplicity and persistence until a new qualifying signal, reducing visual clutter while highlighting directional bias through midpoint coloring.
Motivation: Why this design?
Traders often face noisy signals from moving averages that flip frequently in sideways markets or lag during breakouts, leading to premature entries or missed opportunities. This indicator addresses that by focusing on confirmed direction shifts between the base and smoothed averages, then anchoring a non-expanding zone to capture the initial price range of the shift. The result is a cleaner tool for marking equilibrium levels, assuming price respects these bounds in ranging or mildly trending conditions.
Whatโs different vs. standard approaches?
- Reference baseline: Traditional moving average crossovers or simple channels that update every bar.
- Architecture differences:
- Zones are set only on new divergence signals and remain fixed until reset by a gap from the prior zone.
- No ongoing high-low expansion; relies on persistent variables to hold bounds across bars.
- Midpoint plotting with conditional coloring based on close position, plus a highlight for zone initiations.
- Practical effect: Charts show persistent horizontal references instead of drifting lines, making it easier to gauge if price is rejecting or embracing the zoneโuseful for avoiding false breaks in low-volatility setups.
How it works (technical)
The indicator first computes a base exponential moving average of closing prices over a user-defined length, then applies a second exponential moving average to smooth that base. It checks if both the base and smoothed values are increasing or decreasing compared to their prior values, indicating aligned direction. A signal triggers when this alignment breaks, marking a potential shift.
On a new signal, if the current bar's high and low fall outside any existing zone (or none exists), the zone bounds update to those extremes and persist via dedicated variables. The midpoint of these bounds becomes the primary plot line, colored green if below the close (bullish lean), red if above (bearish lean), or gray otherwise. A secondary thick line highlights the midpoint briefly when a zone first sets, aiding visual confirmation. No higher timeframe data or external fetches are used, so updates occur on each bar close without lookahead.
Parameter Guide
EMA Length โ Sets the period for the base moving average; longer values smooth more, reducing signal frequency but increasing lag. Default: 50. Trade-offs/Tips: Shorter for faster response in intraday charts (risks noise); longer for daily trends (may miss early shifts).
Smoother Length โ Defines the period for the secondary smoothing on the base average; higher values dampen minor wiggles for stabler direction checks. Default: 3. Trade-offs/Tips: Keep low (2โ5) for sensitivity; increase to 7+ if zones trigger too often in choppy markets, at cost of delayed signals.
Reading & Interpretation
The main circle plot at the zone midpoint serves as a dynamic equilibrium line: green suggests price is above the zone (potential strength), red indicates below (potential weakness), and gray shows containment within bounds (neutral consolidation). A sudden thick foreground line at the midpoint flags a fresh zone start, prompting review of the prior bar's context. Absence of a plot means no active zone, implying reliance on price action alone until the next signal.
Practical Workflows & Combinations
- Trend following: Enter long on green midpoint after a higher low touches the zone lower bound, confirmed by structure like higher highs; filter shorts similarly on red with lower highs.
- Exits/Stops: Use the opposite zone bound as a conservative stop (e.g., below lower for longs); trail aggressively to midpoint on strong moves, tightening near gray neutrality.
- Multi-asset/Multi-TF: Defaults work across forex and stocks on 1HโDaily; for crypto volatility, shorten EMA Length to 20โ30. Pair with volume oscillators for confirmation, avoiding isolated use.
Behavior, Constraints & Performance
- Repaint/confirmation: Plots update on bar close using historical closes, so confirmed signals hold; live bars may shift until close but without future references.
- security()/HTF: Not used, eliminating related repaint risks.
- Resources: Minimal overheadโno loops, arrays, or bar limits exceeded; suitable for real-time on any timeframe.
- Known limits: Fixed zones may lag in strong trends (price drifts away without reset); signals skip if no gap from prior zone, potentially missing clustered shifts. Assumes standard OHLC data; untested on non-equity assets.
Sensible Defaults & Quick Tuning
Start with EMA Length at 50 and Smoother Length at 3 for balanced daily charts. If signals fire too frequently (e.g., in ranges), extend EMA Length to 100 for fewer but stabler zones. For sluggish response in trends, drop Smoother Length to 2 and EMA Length to 30, monitoring for added noise. In high-vol setups, widen both to 75/5 to filter extremes, trading speed for reliability.
What this indicator isโand isnโt
This is a lightweight visualization layer for EMA-driven zones, aiding manual chart reading and basic signal spotting. It is not a standalone system, predictive model, or automated alert generatorโintegrate with broader analysis like market structure and risk rules. (Unknown/Optional: No built-in alerts or multi-timeframe scaling.)
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Cari dalam skrip untuk "moving average crossover"
Relative StrengthDescription:
This indicator provides a simplified yet powerful method for measuring a stock's momentum based on its proximity to its recent high. It is a direct implementation of a trading concept discussed in a lecture from the New York Institute of Finance.
Core Concept
The underlying theory, supported by academic research, is that a stock making a new high is one of the most bullish signals possible. Such stocks have a statistical tendency to continue making new highs in the near term.
Instead of requiring complex relative strength calculations against a universe of stocks, this indicator uses a simple and elegant ratio to act as a proxy for momentum:
Indicator Value = Current Close / Highest High of Lookback Period
A value approaching 1.0 indicates the stock is strong and nearing a new high. A value at 1.0 means a new high has just been made.
How to Use This Indicator
The indicator consists of two primary components:
RS Line (Teal): The core momentum calculation (Close / High).
Signal MA (Orange): A moving average of the NHRS Line, which acts as the trigger for signals.
The signals are generated based on the crossover between these two lines:
BUY Signal: When the RS Line crosses ABOVE its moving average. This suggests that short-term momentum is accelerating and a new uptrend may be starting. The background will turn green.
SELL Signal: When the RS Line crosses BELOW its moving average. This indicates that momentum is fading and it may be prudent to exit the position to avoid a decline. The background will turn red.
Indicator Settings
You can customize the indicator to fit your trading style and the timeframe you are analyzing:
High Lookback Period: Choose the period for the "Highest High" calculation. Options range from 1 Month to 12 Months (52 weeks), allowing you to measure short-term or long-term strength.
Moving Average Length: Adjust the length of the signal line's moving average. The lecturer defaults to 26 weeks for a six-month view.
Moving Average Type: Select the type of moving average for the signal line (SMA, EMA, WMA, HMA).
Credits and Inspiration
Proper credit is essential. This script is a practical application of a concept that builds upon foundational academic work.
The core idea that a stock's proximity to its 52-week high is an investable anomaly was detailed in the 2004 Journal of Finance paper:
"The 52 Week High and Momentum Investing" by Thomas J. George and Chuan-Yang Hwang.
The lecturer's contribution, which this script implements, was to simplify this concept into an actionable trading tool by applying a moving average crossover to generate clear and objective buy and sell signals.
Disclaimer: This tool is for educational and informational purposes only. It is not financial advice. All trading involves risk, and you should always perform your own research and backtesting before making any trading decisions.
Smart Buy/Sell Signal IndicatorOverview
The Smart Buy/Sell Signal Indicator is a multi-factor trading tool that i ntegrates Supertrend, Bollinger Bands, RSI, ADX, and Moving Averages to generate high-probability buy and sell signals. Unlike simple crossover-based strategies, this indicator leverages multiple layers of confirmation to reduce false signals and improve trade execution accuracy.
This indicator is designed for trend-following traders, scalpers, and swing traders, helping them identify key reversal points and momentum shifts with precise breakout conditions.
How It Works
The Smart Buy/Sell Signal Indicator filters out weak trade signals by combining trend, volatility, momentum, and strength indicators in the following manner:
โ
Supertrend-Based Trend Filtering:
โข The script checks if the price is above or below the Supertrend level before confirming a buy or sell signal.
โข Buy signals occur below the Supertrend Down level, confirming support.
โข Sell signals occur above the Supertrend Up level, confirming resistance.
โ
Bollinger Bands for Overbought & Oversold Conditions:
โข Buy signals are confirmed when price touches the Bollinger Lower Band (suggesting oversold conditions).
โข Sell signals are confirmed when price touches the Bollinger Upper Band (suggesting overbought conditions).
โข This ensures that trades occur at high-probability reversal zones, rather than random price action.
โ
RSI Momentum Confirmation:
โข Buy trades trigger when RSI is below 50 (indicating strength building from an oversold region).
โข Sell trades trigger when RSI is above 50 (indicating weakness forming in an overbought region).
โข This ensures signals are momentum-backed and not counter-trend moves.
โ
ADX Strength Confirmation:
โข The script filters signals using the ADX (Average Directional Index) to ensure that only trades with sufficient market strength are executed.
โข If the ADX value is below a threshold (default: 15), the signal is ignored to prevent false breakouts in choppy markets.
โ
Confirmation Moving Average (MA) for Trend Validation:
โข The script applies an additional confirmation filter using a Moving Average (SMA/EMA).
โข Buy signals trigger only when the price is above the MA, aligning with trend direction.
โข Sell signals trigger only when the price is below the MA, ensuring alignment with the broader market structure.
โ
Trade Cooldown Mechanism (Minimum Bars Between Signals):
โข To avoid frequent signals in sideways markets, a cooldown period is implemented.
โข Default: 5 bars between signals (adjustable).
โข Prevents rapid consecutive trades, reducing false entries.
Key Features
โ๏ธ Supertrend & Moving Average Confirmation โ Ensures trades are taken only in the correct trend direction.
โ๏ธ Bollinger Bands Integration โ Helps identify high-probability reversal zones.
โ๏ธ ADX Strength Filtering โ Ensures trades are only executed when the market has enough strength.
โ๏ธ Momentum-Based RSI Filtering โ Avoids counter-trend trades and confirms directional strength.
โ๏ธ Trade Cooldown Mechanism โ Reduces overtrading and noise in sideways markets.
โ๏ธ Webhook Alerts for Automation โ Auto-execute trades or receive real-time notifications.
โ๏ธ Customizable Inputs โ Adjustable thresholds, EMA/SMA length, ADX filter, cooldown period for flexibility.
โ๏ธ Works Across Multiple Timeframes โ Suitable for scalping (5m, 15m), swing trading (1H, 4H), and position trading (Daily).
How to Use
๐ Scalping & Intraday Trading:
โข Use on 5m, 15m, or 30m timeframes.
โข Look for Bollinger Band touch + RSI confirmation + Supertrend support/resistance validation before entering trades.
๐ Swing Trading:
โข Use on 1H or 4H timeframes.
โข Enter only when ADX is strong and price aligns with Supertrend direction.
๐ Webhook Automation:
โข Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Why This Combination?
This indicator is not just a simple moving average crossover tool.
It is designed to filter out weak breakouts and only execute trades that have:
โ
Trend confirmation (Supertrend + Moving Average)
โ
Volatility filtering (Bollinger Bands for overbought/oversold confirmation)
โ
Momentum validation (RSI threshold filtering)
โ
Market strength requirement (ADX ensures sufficient momentum)
This multi-layered approach ensures that only the highest-quality setups are executed, improving both win rate and reliability.
Why Itโs Worth Using?
๐ Reduces False Breakouts โ Avoids weak breakouts by requiring ADX confirmation.
๐ Works in All Market Conditions โ Trend-following logic for trending markets, volatility-based entries for reversals.
๐ Customizable to Any Trading Style โ Adjustable parameters for trend, momentum, and strength filtering.
๐ Seamless Webhook Automation โ Execute trades automatically with TradingView alerts.
๐ Ready to trade smarter?
โ
Add the Smart Buy/Sell Signal Indicator to your TradingView chart today! ๐ฏ๐ฅ
BTC Mercenary ModelBitcoin Market Cycle Evaluation Using Subjective Z-Scores
Introduction:
I've crafted a unique indicator for Bitcoin that synthesizes multiple market indicators into a single, actionable Z-score, aiming to offer insights into the current market cycle phase. Here's the methodology:
Methodology:
Alpha Validation: Each component indicator has been tested for its predictive power (alpha) against Bitcoin's market cycle peaks and troughs from at least the last two cycles. This ensures each indicator contributes meaningfully to our model.
Z-Score Synthesis: By converting each indicator's value into a Z-score, we normalize their contributions. The average of these Z-scores provides a refined signal, indicating whether Bitcoin is in an overbought or oversold state relative to historical norms.
Features:
Individual Indicator Customization: Users can tweak inputs to optimize each indicator's alpha, enhancing the model's predictive accuracy.
Historical Averages: The script provides visibility into how both technical and fundamental indicators have scored in the past, offering a benchmark for current conditions.
ROC Flexibility: Adjust the Rate of Change (ROC) period to suit your analysis timeframe, allowing for more personalized market cycle interpretation.
Indicators Integrated:
Fundamental:
MVRV (Market Value to Realized Value) - Measures market sentiment vs. actual value.
Bitcoin Thermocap - Relates Bitcoin's market cap to its transaction volume.
NUPL (Net Unrealized Profit/Loss) - Indicates holder's profit or loss status.
CVDD (Coin Days Destroyed) - Shows the movement of long-held coins.
SOPR (Spent Output Profit Ratio) - Highlights whether coins are being spent at a profit or loss.
Technical:
RSI (Relative Strength Index) - Identifies overbought/oversold conditions.
CCI (Commodity Channel Index) - Detects cyclical turns in Bitcoin's price.
Multiple Moving Averages - For trend analysis over various time frames.
Sharpe Ratio - Evaluates risk-adjusted return.
Pi Cycle Indicator - Predicts cycle tops based on moving average crossovers.
Hodrick-Prescott Filter - Separates trend from cycle in price data.
VWAP (Volume Weighted Average Price) - Provides a trading benchmark.
How It Works Together:
This model uses a weighted average of Z-scores from these indicators to give a comprehensive view of Bitcoin's market cycle. The Z-scores are not just summed but considered in context; for example, when fundamental indicators like MVRV suggest an overvaluation while technical ones like RSI indicate a near-term correction, the model's output reflects this nuanced interaction.
Future Developments:
The next step is to include sentiment analysis, potentially from social media or news sentiment, to further refine our cycle predictions.
Chart Example:
Symbol/Timeframe: BTCUSD on a daily chart.
Script Name: Bitcoin Cycle Z-Score Evaluator
Feedback Encouraged:
I'm eager to receive feedback on how this model could be further tailored or expanded for better market insights.
-CM
Market Sentiment Composite IndexDescription
The Market Sentiment Composite Index is an advanced indicator designed to provide traders with a comprehensive view of market sentiment by aggregating data from multiple key indicators. This tool helps traders identify potential overbought and oversold conditions, enabling more informed trading decisions.
How It Works
Indicator Components:
Relative Strength Index (RSI): Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Average True Range (ATR): Gauges market volatility by analyzing the range of price movements.
MACD (Moving Average Convergence Divergence): Indicates momentum and potential buy/sell signals based on moving average crossovers.
Volume Score: Assesses trading volume in relation to its historical average to detect unusual activity.
Normalization: Each component is normalized to a 0-100 scale, ensuring consistency across different metrics.
Composite Calculation: The normalized values are averaged to form the Composite Sentiment Score. This score ranges from 0 to 100, providing a unified measure of market sentiment.
Visual Representation:
Sentiment Score Plot: The composite sentiment score is plotted on the chart.
Overbought/Oversold Levels: Default levels set at 70 (overbought) and 30 (oversold), customizable by the user.
Horizontal Lines: Dashed lines at the overbought and oversold levels for easy reference.
Alerts: Custom alerts notify traders when the sentiment score crosses the overbought or oversold thresholds, helping them stay informed of significant market conditions.
Usage
The Market Sentiment Composite Index is ideal for traders who seek a holistic view of market sentiment. By combining multiple indicators into a single score, it provides a robust tool to identify potential reversal points and confirm trends.
Key Benefits
Comprehensive Insight: Integrates multiple indicators for a well-rounded sentiment analysis.
Customization: Adjustable overbought and oversold levels to fit individual trading strategies.
User-Friendly: Clear visual representation and alerts to keep traders informed..
Another Brian"Another Brian" is an advanced TradingView indicator meticulously designed to offer traders a multifaceted analysis by integrating both technical and fundamental metrics. Unlike standard indicators, this script uniquely combines multi-period Moving Averages (SMA and WMA) with multi-day Volume-Weighted Average Prices (VWAPs) to accurately identify trend directions and potential support/resistance levels. It incorporates pivot points (S2 and R2) specifically calculated for intraday timeframes (1 to 14 minutes) to highlight key profit-taking areas tailored for day trading.
A standout feature of "Another Brian" is its dynamic background color coding, which changes based on the selected timeframe. This visual cue allows traders to instantly recognize the current trading context, enhancing situational awareness and decision-making efficiency.
On the fundamental side, the script evaluates dividend yield and dividend payout ratios, integrating these metrics with distribution dataโcrucial for ETFs where distributions may not appear as traditional dividends. By pulling and analyzing distribution information, "Another Brian" provides a more comprehensive yield assessment. This data is then compared to historical volatility (HV), enabling traders to gauge the stability and risk associated with their investments.
The indicator also features a comprehensive Risk-Adjusted Yield Ratio (RAYR), which compares the annualized distribution yield to its standard deviation. This ratio helps traders assess the efficiency of ETFs by balancing yield against volatility, highlighting investments that offer an optimal risk-return profile.
Central to the user experience is a dynamic data table that displays essential metrics such as 20-day Volume, ATR20, ADR20, moving averages status, yield ratios, and volatility measures. This table is color-coded for quick visual interpretation:
Setup : turn off the candle colors, the indicator draws price.
Red Indicators: Signal that a closer examination is needed, allowing traders to swiftly identify potential issues or opportunities.
Green and Yellow Indicators: Provide positive or neutral signals, aiding in the swift assessment of market conditions.
Additionally, "Another Brian" includes a trigger detection system that identifies potential bullish or bearish conditions based on the interaction between SMAs and WMAs across multiple timeframes. These triggers offer actionable trading signals, enhancing the tool's utility for both novice and experienced traders.
Key Features:
Moving Averages (MA):
Simple Moving Average (SMA): Calculates SMA over various periods (20-day, 50-day) to identify trend directions.
Weighted Moving Average (WMA): Computes WMA to give more significance to recent price data, aiding in trend detection.
Volume-Weighted Average Price (VWAP):
Multi-Day VWAPs: Plots VWAPs for 1-day, 2-day, and 3-day periods, helping traders identify potential support and resistance levels based on volume-weighted pricing.
Pivot Points:
Support (S2) and Resistance (R2): Calculates and plots key pivot points for intraday timeframes (1 to 14 minutes), assisting in identifying potential profit-taking zones for day trades.
Volatility Metrics:
Average True Range (ATR): Measures market volatility over a 20-day period.
Historical Volatility (HV): Assesses volatility over the past year, providing insights into price fluctuations.
Dividend and Distribution Analysis:
Dividend Yield & Payout Ratio: Displays current dividend yield and payout ratios as percentages.
Distribution Data: Integrates distribution information for ETFs, ensuring comprehensive yield analysis even when distributions don't appear as traditional dividends.
Risk-Adjusted Yield Ratio (RAYR):
RAYR Calculation: Compares the annualized distribution yield to its standard deviation, indicating the yield received for each unit of risk taken.
RAYR Indicators: Highlights ETFs with favorable RAYR values, aiding in identifying investments that offer a balanced risk-return profile.
Dynamic Data Table:
Comprehensive Metrics Display: Showcases key metrics such as 20-day Volume, ATR20, ADR20, moving averages status, yield ratios, and volatility measures.
Color-Coding: Utilizes color-coded elements to indicate the status of various metrics, enhancing visual interpretation and decision-making.
Quick View Alerts: Red indicators prompt traders to take a closer look, streamlining the analysis process.
Trigger Indicators:
Pre-Trigger Conditions: Identifies potential market triggers based on moving average crossovers and other predefined conditions.
Bullish and Bearish Conditions: Differentiates between bullish and bearish trends, providing visual cues for potential trade opportunities.
Background Color Coding:
Timeframe-Based Coloring: Changes the chart's background color based on the selected timeframe (e.g., yellow for 1-minute, blue for 5-minute), offering an immediate visual reference for the current trading context.
Usage Benefits:
Holistic Market Analysis: Combines technical indicators with fundamental metrics to provide a well-rounded view of stock performance.
Enhanced Decision-Making: Helps traders identify trends, volatility, and potential trade triggers, facilitating informed trading strategies.
Visual Clarity: Employs color-coded elements and a comprehensive data table to simplify complex data, making it easier to interpret market conditions at a glance.
Customization: Offers flexibility in selecting which VWAPs to display and allows for adjustments based on different timeframes and trading preferences.
Efficiency in Monitoring: The dynamic background and color-coded table enable quick assessments, saving traders time and enhancing responsiveness to market changes.
"Another Brian" is an invaluable tool for traders seeking to integrate multiple analytical perspectives into their trading routine. By providing deeper market insights through its unique combination of technical and fundamental metrics, along with intuitive visual cues, "Another Brian" empowers traders to make more informed and strategic decisions in the dynamic stock market environment.
Trade Rush IndicatorTrade Rush Indicator
The Trade Rush Indicator is a comprehensive tool designed for traders who seek a clear visualization of key moving averages, combined with Bollinger Bands to identify potential trading opportunities. This script provides a unique approach to trend analysis by combining multiple Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) with varying lengths, along with Bollinger Bands set to both 1 and 2 standard deviations.
Key Features:
EMAs & SMAs: The indicator includes several EMAs (5, 9, 21, 50, 100, 120, 200, 400) and SMAs (21, 50, 100, 120, 200, 400), each serving a different timeframe perspective. The EMAs and SMAs are color-coded for quick reference, and some of the longer-period moving averages (50 EMA, 100 EMA, etc.) are hidden by default to reduce chart clutter but can be manually enabled.
Bollinger Bands: Bollinger Bands are set at 1 and 2 standard deviations to assist in visualizing price volatility. The space between the 1ฯ and 2ฯ bands is filled with a light cloud, making it easy to spot periods of higher volatility. This band configuration helps traders assess potential breakout or reversal zones.
Ichimoku Cloud Overlay: Although the Ichimoku cloud calculation is included, it is hidden by default and can be activated when additional trend confirmation is needed. The cloudโs opacity is set to be subtle, allowing it to enhance chart readability without overwhelming other indicators.
Usage:
The Trade Rush Indicator is ideal for swing traders and intraday traders who rely on moving average crossovers, Bollinger Band volatility signals, and trend confirmation through Ichimoku cloud analysis. By visualizing multiple moving averages and Bollinger Bands, traders can identify trend direction, support/resistance zones, and potential breakout areas.
Originality and Value:
This script is a tailored solution for traders who seek a blend of moving averages and Bollinger Bands to enhance their trend-following strategies. Unlike standard setups, the Trade Rush Indicator provides extensive customization options, allowing traders to enable/disable specific indicators based on their trading style and preferences. Its structure also provides unique insights into volatility and trend strength by layering various EMAs and SMAs, helping traders make more informed decisions.
TEMA For Loop | QuantumResearchThe TEMA for Loop indicator is a unique trend analysis tool designed to provide a more nuanced view of market movements by combining a custom EMA-based calculation with a scoring system. This indicator aims to offer traders a refined way to assess market momentum, using an approach that goes beyond typical moving average crossovers. Hereโs how the indicator works and what makes it valuable:
Enhanced Smoothing with Triple EMA:
The core calculation uses three successive Exponential Moving Averages (EMA) to create a smoothed curve. This combination smooths out price data more effectively than a single EMA, reducing noise while still being responsive to market shifts.
The Triple Exponential Moving Average (TEMA) calculation, often used to minimize lag, is customized here to derive a composite EMA value. This results in a more dynamic yet stable trend line that reacts to significant price movements without being overly sensitive to minor fluctuations.
Unique Scoring System for Trend Assessment:
What sets this indicator apart is its custom scoring mechanism that evaluates the strength and direction of trends over a defined range of historical data. By comparing the current smoothed EMA value against previous values within a specified lookback period, the indicator calculates a trend score.
This scoring system helps to quantify the momentum of the trend. A positive score indicates consistent upward momentum, while a negative score suggests downward momentum. The use of this scoring method provides traders with a deeper insight into the trend's persistence over time, allowing for better decision-making.
Trend Visualization with Clear Signals:
Green represents a strong upward trend, indicating potential buying interest.
Red signals a strong downward trend, highlighting potential selling pressure.
Gray denotes a neutral market state, where neither buyers nor sellers dominate.
Why This Indicator Is Original and Useful:
Unlike many traditional TEMA indicators, the TEMA for Loop incorporates a custom blend of multi-layered EMAs with a unique scoring system that offers a more granular view of market dynamics. The combination of TEMA smoothing with a trend scoring mechanism makes this indicator particularly useful for traders who want to identify sustained trends while avoiding false signals caused by market noise.
This enhanced approach to trend detection provides a level of analysis that is not readily available in most open-source TEMA scripts, justifying its unique value. The closed-source nature of this script protects its innovative scoring logic, which has been carefully optimized for accuracy and adaptability across various market conditions.
The TEMA for Loop is ideal for traders looking for a tool that provides a balanced blend of responsiveness and smoothness, making it an excellent choice for those who aim to ride strong trends while minimizing whipsaws. Its distinctive combination of methodologies offers traders a competitive edge in markets characterized by both sharp moves and periods of consolidation.
Uptrick: RSI Histogram
1. **Introduction to the RSI and Moving Averages**
2. **Detailed Breakdown of the Uptrick: RSI Histogram**
3. **Calculation and Formula**
4. **Visual Representation**
5. **Customization and User Settings**
6. **Trading Strategies and Applications**
7. **Risk Management**
8. **Case Studies and Examples**
9. **Comparison with Other Indicators**
10. **Advanced Usage and Tips**
---
## 1. Introduction to the RSI and Moving Averages
### **1.1 Relative Strength Index (RSI)**
The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder and introduced in his 1978 book "New Concepts in Technical Trading Systems." It is widely used in technical analysis to measure the speed and change of price movements.
**Purpose of RSI:**
- **Identify Overbought/Oversold Conditions:** RSI values range from 0 to 100. Traditionally, values above 70 are considered overbought, while values below 30 are considered oversold. These thresholds help traders identify potential reversal points in the market.
- **Trend Strength Measurement:** RSI also indicates the strength of a trend. High RSI values suggest strong bullish momentum, while low values indicate bearish momentum.
**Calculation of RSI:**
1. **Calculate the Average Gain and Loss:** Over a specified period (e.g., 14 days), calculate the average gain and loss.
2. **Compute the Relative Strength (RS):** RS is the ratio of average gain to average loss.
3. **RSI Formula:** RSI = 100 - (100 / (1 + RS))
### **1.2 Moving Averages (MA)**
Moving Averages are used to smooth out price data and identify trends by filtering out short-term fluctuations. Two common types are:
**Simple Moving Average (SMA):** The average of prices over a specified number of periods.
**Exponential Moving Average (EMA):** A type of moving average that gives more weight to recent prices, making it more responsive to recent price changes.
**Smoothed Moving Average (SMA):** Used to reduce the impact of volatility and provide a clearer view of the underlying trend. The RMA, or Running Moving Average, used in the USH script is similar to an EMA but based on the average of RSI values.
## 2. Detailed Breakdown of the Uptrick: RSI Histogram
### **2.1 Indicator Overview**
The Uptrick: RSI Histogram (USH) is a technical analysis tool that combines the RSI with a moving average to create a histogram that reflects momentum and trend strength.
**Key Components:**
- **RSI Calculation:** Determines the relative strength of price movements.
- **Moving Average Application:** Smooths the RSI values to provide a clearer trend indication.
- **Histogram Plotting:** Visualizes the deviation of the smoothed RSI from a neutral level.
### **2.2 Indicator Purpose**
The primary purpose of the USH is to provide a clear visual representation of the market's momentum and trend strength. It helps traders identify:
- **Bullish and Bearish Trends:** By showing how far the smoothed RSI is from the neutral 50 level.
- **Potential Reversal Points:** By highlighting changes in momentum.
### **2.3 Indicator Design**
**RSI Moving Average (RSI MA):** The RSI MA is a smoothed version of the RSI, calculated using a running moving average. This smooths out short-term fluctuations and provides a clearer indication of the underlying trend.
**Histogram Calculation:**
- **Neutral Level:** The histogram is plotted relative to the neutral level of 50. This level represents a balanced market where neither bulls nor bears have dominance.
- **Histogram Values:** The histogram bars show the difference between the RSI MA and the neutral level. Positive values indicate bullish momentum, while negative values indicate bearish momentum.
## 3. Calculation and Formula
### **3.1 RSI Calculation**
The RSI calculation involves:
1. **Average Gain and Loss:** Calculated over the specified length (e.g., 14 periods).
2. **Relative Strength (RS):** RS = Average Gain / Average Loss.
3. **RSI Formula:** RSI = 100 - (100 / (1 + RS)).
### **3.2 Moving Average Calculation**
For the USH indicator, the RSI is smoothed using a running moving average (RMA). The RMA formula is similar to that of the EMA but is based on averaging RSI values over the specified length.
### **3.3 Histogram Calculation**
The histogram value is calculated as:
- **Histogram Value = RSI MA - 50**
**Plotting the Histogram:**
- **Positive Histogram Values:** Indicate that the RSI MA is above the neutral level, suggesting bullish momentum.
- **Negative Histogram Values:** Indicate that the RSI MA is below the neutral level, suggesting bearish momentum.
## 4. Visual Representation
### **4.1 Histogram Bars**
The histogram is plotted as bars on the chart:
- **Bullish Bars:** Colored green when the RSI MA is above 50.
- **Bearish Bars:** Colored red when the RSI MA is below 50.
### **4.2 Customization Options**
Traders can customize:
- **RSI Length:** Adjust the length of the RSI calculation to match their trading style.
- **Bull and Bear Colors:** Choose colors for histogram bars to enhance visual clarity.
### **4.3 Interpretation**
**Bullish Signal:** A histogram bar that moves from red to green indicates a potential shift to a bullish trend.
**Bearish Signal:** A histogram bar that moves from green to red indicates a potential shift to a bearish trend.
## 5. Customization and User Settings
### **5.1 Adjusting RSI Length**
The length parameter determines the number of periods over which the RSI is calculated and smoothed. Shorter lengths make the RSI more sensitive to price changes, while longer lengths provide a smoother view of trends.
### **5.2 Color Settings**
Traders can adjust:
- **Bull Color:** Color of histogram bars indicating bullish momentum.
- **Bear Color:** Color of histogram bars indicating bearish momentum.
**Customization Benefits:**
- **Visual Clarity:** Traders can choose colors that stand out against their chartโs background.
- **Personal Preference:** Adjust settings to match individual trading styles and preferences.
## 6. Trading Strategies and Applications
### **6.1 Trend Following**
**Identifying Entry Points:**
- **Bullish Entry:** When the histogram changes from red to green, it signals a potential entry point for long positions.
- **Bearish Entry:** When the histogram changes from green to red, it signals a potential entry point for short positions.
**Trend Confirmation:** The histogram helps confirm the strength of a trend. Strong, consistent green bars indicate robust bullish momentum, while strong, consistent red bars indicate robust bearish momentum.
### **6.2 Swing Trading**
**Momentum Analysis:**
- **Entry Signals:** Look for significant shifts in the histogram to time entries. A shift from bearish to bullish (red to green) indicates potential for upward movement.
- **Exit Signals:** A shift from bullish to bearish (green to red) suggests a potential weakening of the trend, signaling an exit or reversal point.
### **6.3 Range Trading**
**Market Conditions:**
- **Consolidation:** The histogram close to zero suggests a range-bound market. Traders can use this information to identify support and resistance levels.
- **Breakout Potential:** A significant move away from the neutral level may indicate a potential breakout from the range.
### **6.4 Risk Management**
**Stop-Loss Placement:**
- **Bullish Positions:** Place stop-loss orders below recent support levels when the histogram is green.
- **Bearish Positions:** Place stop-loss orders above recent resistance levels when the histogram is red.
**Position Sizing:** Adjust position sizes based on the strength of the histogram signals. Strong trends (indicated by larger histogram bars) may warrant larger positions, while weaker signals suggest smaller positions.
## 7. Risk Management
### **7.1 Importance of Risk Management**
Effective risk management is crucial for long-term trading success. It involves protecting capital, managing losses, and optimizing trade setups.
### **7.2 Using USH for Risk Management**
**Stop-Loss and Take-Profit Levels:**
- **Stop-Loss Orders:** Use the histogram to set stop-loss levels based on trend strength. For instance, place stops below support levels in bullish trends and above resistance levels in bearish trends.
- **Take-Profit Targets:** Adjust take-profit levels based on histogram changes. For example, lock in profits as the histogram starts to shift from green to red.
**Position Sizing:**
- **Trend Strength:** Scale position sizes based on the strength of histogram signals. Larger histogram bars indicate stronger trends, which may justify larger positions.
- **Volatility:** Consider market volatility and adjust position sizes to mitigate risk.
## 8. Case Studies and Examples
### **8.1 Example 1: Bullish Trend**
**Scenario:** A trader notices a transition from red to green histogram bars.
**Analysis:**
- **Entry Point:** The transition indicates a potential bullish trend. The trader decides to enter a long position.
- **Stop-Loss:** Set stop-loss below recent support levels.
- **Take-Profit:** Consider taking profits as the histogram moves back towards zero or turns red.
**Outcome:** The bullish trend continues, and the histogram remains green, providing a profitable trade setup.
### **8.2 Example 2: Bearish Trend**
**Scenario:** A trader observes a transition from green to red histogram bars.
**Analysis:**
- **Entry Point:** The transition suggests a potential
bearish trend. The trader decides to enter a short position.
- **Stop-Loss:** Set stop-loss above recent resistance levels.
- **Take-Profit:** Consider taking profits as the histogram approaches zero or shifts to green.
**Outcome:** The bearish trend continues, and the histogram remains red, resulting in a successful trade.
## 9. Comparison with Other Indicators
### **9.1 RSI vs. USH**
**RSI:** Measures momentum and identifies overbought/oversold conditions.
**USH:** Builds on RSI by incorporating a moving average and histogram to provide a clearer view of trend strength and momentum.
### **9.2 RSI vs. MACD**
**MACD (Moving Average Convergence Divergence):** A trend-following momentum indicator that uses moving averages to identify changes in trend direction.
**Comparison:**
- **USH:** Provides a smoothed RSI perspective and visual histogram for trend strength.
- **MACD:** Offers signals based on the convergence and divergence of moving averages.
### **9.3 RSI vs. Stochastic Oscillator**
**Stochastic Oscillator:** Measures the level of the closing price relative to the high-low range over a specified period.
**Comparison:**
- **USH:** Focuses on smoothed RSI values and histogram representation.
- **Stochastic Oscillator:** Provides overbought/oversold signals and potential reversals based on price levels.
## 10. Advanced Usage and Tips
### **10.1 Combining Indicators**
**Multi-Indicator Strategies:** Combine the USH with other technical indicators (e.g., Moving Averages, Bollinger Bands) for a comprehensive trading strategy.
**Confirmation Signals:** Use the USH to confirm signals from other indicators. For instance, a bullish histogram combined with a moving average crossover may provide a stronger buy signal.
### **10.2 Customization Tips**
**Adjust RSI Length:** Experiment with different RSI lengths to match various market conditions and trading styles.
**Color Preferences:** Choose histogram colors that enhance visibility and align with personal preferences.
### **10.3 Continuous Learning**
**Backtesting:** Regularly backtest the USH with historical data to refine strategies and improve accuracy.
**Education:** Stay updated with trading education and adapt strategies based on market changes and personal experiences.
US M2### Relevance and Functionality of the "US M2" Indicator
#### Relevance
The "US M2" indicator is relevant for several reasons:
1. **Macro-Economic Insight**: The M2 money supply is a critical indicator of the amount of liquidity in the economy. Changes in M2 can significantly impact financial markets, including equities, commodities, and cryptocurrencies.
2. **Trend Identification**: By analyzing the M2 money supply with moving averages, the indicator helps identify long-term and short-term trends, providing insights into economic conditions and potential market movements.
3. **Trading Signals**: The indicator generates bullish and bearish signals based on moving average crossovers and the difference between current M2 values and their moving averages. These signals can be useful for making informed trading decisions.
#### How It Works
1. **Data Input**:
- **US M2 Money Supply**: The indicator fetches the US M2 money supply data using the "USM2" symbol with a monthly resolution.
2. **Moving Averages**:
- **50-Period SMA**: Calculates the Simple Moving Average (SMA) over 50 periods (months) to capture short-term trends.
- **200-Period SMA**: Calculates the SMA over 200 periods to identify long-term trends.
3. **Difference Calculation**:
- **USM2 Difference**: Computes the difference between the current M2 value and its 50-period SMA to highlight deviations from the short-term trend.
4. **Amplification**:
- **Amplified Difference**: Multiplies the difference by 100 to make the deviations more visible on the chart.
5. **Bullish and Bearish Conditions**:
- **Bullish Condition**: When the current M2 value is above the 50-period SMA, indicating a positive short-term trend.
- **Bearish Condition**: When the current M2 value is below the 50-period SMA, indicating a negative short-term trend.
6. **Short-Term SMA of Amplified Difference**:
- **14-Period SMA**: Applies a 14-period SMA to the amplified difference to smooth out short-term fluctuations and provide a clearer trend signal.
7. **Plots and Visualizations**:
- **USM2 Plot**: Plots the US M2 data for reference.
- **200-Period SMA Plot**: Plots the long-term SMA to show the broader trend.
- **Amplified Difference Histogram**: Plots the amplified difference as a histogram with green bars for bullish conditions and red bars for bearish conditions.
- **SMA of Amplified Difference**: Plots the 14-period SMA of the amplified difference to track the trend of deviations.
8. **Moving Average Cross Signals**:
- **Bullish Cross**: Plots an upward triangle when the 50-period SMA crosses above the 200-period SMA, signaling a potential long-term uptrend.
- **Bearish Cross**: Plots a downward triangle when the 50-period SMA crosses below the 200-period SMA, signaling a potential long-term downtrend.
### Summary
The "US M2" indicator provides a comprehensive view of the US M2 money supply, highlighting significant trends and deviations. By combining short-term and long-term moving averages with amplified difference analysis, it offers valuable insights and trading signals based on macroeconomic liquidity conditions.
Smart Money Analysis with Golden/Death Cross [YourTradingSensei]Description of the script "Smart Money Analysis with Golden/Death Cross":
This TradingView script is designed for market analysis based on the concept of "Smart Money" and includes the detection of Golden Cross and Death Cross signals.
Key features of the script:
Moving Averages (SMA):
Two moving averages are calculated: a short-term (50 periods) and a long-term (200 periods).
The intersections of these moving averages are used to determine Golden Cross and Death Cross signals.
High Volume:
The current trading volume is analyzed.
Periods of high volume are identified when the current volume exceeds the average volume by a specified multiplier.
Support and Resistance Levels:
Key support and resistance levels are determined based on the highest and lowest prices over a specified period.
Buy and Sell Signals:
Buy and sell signals are generated based on moving average crossovers, high volume, and the closing price relative to key levels.
Golden Cross and Death Cross:
A Golden Cross occurs when the short-term moving average crosses above the long-term moving average.
A Death Cross occurs when the short-term moving average crosses below the long-term moving average.
These signals are displayed on the chart with text color changes for better visualization.
Using the script:
The script helps traders visualize key signals and levels, aiding in making informed trading decisions based on the behavior of major market players and technical analysis.
Custom candle lighting(CCL) ยฉ 2024 by YourTradingSensei is licensed under CC BY-NC-SA 4.0. To view a copy of this license.
Coiled Moving AveragesThis indicator detects when 3 moving averages converge and become coiled. This indicates volatility contraction which often leads to volatility expansion, i.e. large price movements.
Moving averages are considered coiled when the percent difference from each moving average to the others is less than the Coil Tolerance % input value.
This indicator is unique in that it detects when moving averages converge within a specified percent range. This is in contrast to other indicators that only detect moving average crossovers, or the distance between price and a moving average.
This indicator includes options such as:
- % difference between the MAs to be considered coiled
- type and length of MAs
- background color to indicate when the MAs are coiled
- arrows to indicate if price is above or below the MAs when they become coiled
While coiling predicts an increased probability for volatility expansion, it does not necessarily predict the direction of expansion. However, the arrows which indicate whether price is above or below the moving average coil may increase the odds of a move in that direction. Bullish alignment of the moving averages (faster MAs above the slower MAs) may also increase the odds of a bullish break, while bearish alignment may increase the odds of a bearish break.
Note that mean reversion back to the MA coil is common after initial volatility expansion. This can present an entry opportunity for traders, as mean reversion may be followed by continuation in the direction of the initial break.
Experiment with different settings and timeframes to see how coiled MAs can help predict the onset of volatility.
Buy Only Strategy with Dynamic Re-Entry and ExitThe strategy aims to create a simple buy-only trading system based on moving average crossovers and the Weekly Commodity Channel Index (CCI) or Weekly Average Directional Index (ADX). It generates buy signals when the fast-moving average crosses above the slow-moving average and when the Weekly CCI and or Weekly ADX meet the specified conditions.
The strategy also allows for dynamic re-entry, which means it can open new long positions if the price goes above the three moving averages after an exit. However, the strategy will exit the long position if the price closes below the third moving average.
ENTRY CONDITIONS
The script defines the conditions for generating buy signals. It checks for two conditions for a valid buy signal:
โข If the fast-moving average crosses above the slow-moving average -THERE IS Dynamic Re-Entry also
โข If the user chooses HE OR SHE CAN FILTER TRADES BY USING CCI OR ADX
Dynamic Re-Entry:
the script allows for dynamic re-entry. If there is no active long position and the price is above all three moving averages a new long position is opened.
Exit Conditions
The script defines the exit condition for closing a long position. If the price closes below the third moving average, the script closes the long position.
IMPORTANT NOTICE
ONLY DAILY TIME FRAME
THERE WOULD BE WHIPSAW USE YOUR OWN ACCUMEN TO MINIMISE THEM
ITS ONLY BUY STRATEGY
EXIT CAN BE STRATEGY BASED OR SET PROFIT AND TARGETS AS PER RISK APETITE /RISK MANAGEMENT
DONT TRADE OPTIONS ON THIS
SUITABLE FOR STOCKS OF USA AND INDIAN MARKETS
ALWAYS REMEMBER TO DO YOUR OWN RESEARCH BEFORE TRADING AND INVESTING
Moving Average CandlesInspired by Ricardo Santos's " Multiple Moving Average Candle System V0" ()
This script plots 6 moving averages using the plotcandle function rather than the normal plot function. Result is a stylish indicator that shows moving average crossovers in a more visual way. Moving average type options available are , or Simple, Exponential, Hull, Relative, Volume Weighted, and Arnaud Legoux Moving Averages, Linear Regression Curve, and Median. Lengths for each can be set in settings along with selection specific parameters. Good for plotting/visualizing potential entry/exit points based on your preferred moving averages crossing over, or just as some eye candy.
Double Alligator x Donchian Cloud StrategyThis strategy is based on two sets of Williams Alligator indicators, taking crossovers and crossunders of the two pairs of lips as the main entry signal with confluence from the Donchian Cloud. The first Alligator used is set to the standard 13/8/5 lengths found in the standard indicator. The second Alligator is multiplied tenfold (10x) to 130/80/50 with the offset values also being multiplied. This second set is colored yellow, aqua, and purple for the jaw, teeth, and lips, respectively. A strategy similar to a moving average crossover can be created using these sets of Alligator indicators. While there are 6 lines in total, and can be used for discretionary matters outside of the strategy entry/exits, a cross of the lip pairs seems to yield the most optimal results. As a filter for these signals, we have introduced our Donchian Cloud Score code.
The Donchian Cloud Score is derived from a set of 5 Donchian channels (upper, lower, and basis plotted) defaulted to lengths of 25, 50, 100, 150, and 200. A set of conditions associated with the channels aims to determine ranging versus trending markets. Weights are given to these conditions accordingly, then tallied up to determine the "cloud score", ranging between -25 and 25. In general, a ranging market is determined by a cloud score between -10 and 10, while a positive trending market has a score higher than 10 and a negative trending market has a score lower than -10. That said, long and short thresholds similar to the macro score itself are included in the user settings and set to a default of 3 or -3. Trade frequency will increase the closer these numbers are to zero, however, the stronger (yet infrequent) signals come with values approaching +/- 10 or greater. The cloud score is plotted as a line in the underlay with coloration reflecting ranging or trending markets (green color above the long threshold, gray between the thresholds, and red below the short threshold). The cloud score is incorporated into the strategy syntax for long and short positions in that the score must be above or below the set threshold for a trade to be placed. A breakdown for the Donchian scoring is as follows:
- Broke the 25-length DC (DC(25)) upper band in the previous 3 bars - +1 if true, 0 if false
- Broke the DC(50) upper band in the previous 3 bars - +2 if true, 0 if false
- Broke the DC(100) upper band in the previous 3 bars - +3 if true, 0 if false
- Broke the DC(150) upper band in the previous 3 bars - +4 if true, 0 if false
- Broke the DC(200) upper band in the previous 3 bars - +5 if true, 0 if false
- Broke the DC(25) lower band in the previous 3 bars - -1 if true, 0 if false
- Broke the DC(50) lower band in the previous 3 bars - -2 if true, 0 if false
- Broke the DC(100) lower band in the previous 3 bars - -3 if true, 0 if false
- Broke the DC(150) lower band in the previous 3 bars - -4 if true, 0 if false
- Broke the DC(200) lower band in the previous 3 bars - -5 if true, 0 if false
- DC(25) basis line above the DC(50) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(25)basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(150) basis line above the DC(200) basis line - +1 if true, -1 if false
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under โTT and TTPโ as well as โStop Lossโ. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview/Pineconnector Settings:
If you wish to utilize Profitviewโs automation system, find the included โProfitview Settingsโ under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be โOPEN LONG TITLEโ, โOPEN SHORT TITLEโ, โCLOSE LONG TITLEโ, and โCLOSE SHORT TITLEโ. If you wished to trade SOL, for example, you would put โSOL LONGโ, โSOL SHORTโ, โSOL CLOSE LONGโ, and โSOL CLOSE SHORTโ in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the โAlertsโ tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the โConditionโ option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under โAlert actionsโ, nothing necessarily needs to be selected unless so desired. Leave the โAlert nameโ option empty. For the โMessageโ, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the ",buy,,risk=" syntax as noted in the tooltips.
RSI MA CrossBuilding onto the standard RSI indicator, with the following modification and improvements:
- Added signals for RSI moving average crossovers, which usually indicator a bull or bear trend
- Added option to use smoothed RSI line
- Added alert for crossover signals
Enjoy~~~!
Moving Average CombinationsThis moving average indicator is used to plot either EMA or SMA as per users choice. User also has the options to choose different type of sources for each of the moving average lines like high, low, close etc. Again, flexibility is added to plot moving averages of different timeframe than the current timeframe of the chart. By doing so in daily chart user can plot averages of different timeframe like hourly, weekly or monthly and vice versa. Length is also as per the choice of the user.
So for a example, in a daily timeframe chart you can plot 9SMA High Daily, 200EMA Close 1Hr, 200EMA Close 2Hr, 200EMA Close Daily, 9SMA High Weekly and so on. This will help in play moving average crossovers and contractions.
Label for each moving average line is also added.
trend_vol_forecastNote: The following description is copied from the script's comments. Since TradingView does not allow me to edit this description, please refer to the comments and release notes for the most up-to-date information.
-----------
USAGE
This script compares trend trading with a volatility stop to "buy and hold".
Trades are taken with the trend, except when price exceeds a volatility
forecast. The trend is defined by a moving average crossover. The forecast
is based on projecting future volatility from historical volatility.
The trend is defined by two parameters:
- long: the length of a long ("slow") moving average.
- short: the length of a short ("fast") moving average.
The trend is up when the short moving average is above the long. Otherwise
it is down.
The volatility stop is defined by three parameters:
- volatility window: determines the number of periods in the historical
volatility calculation. More periods means a slower (smoother)
estimate of historical volatility.
- stop forecast periods: the number of periods in the volatility
forecast. For example, "7" on a daily chart means that the volatility
will be forecasted with a one week lag.
- stop forecast stdev: the number of standard deviations in the stop
forecast. For example, "2" means two standard deviations.
EXAMPLE
The default parameters are:
- long: 50
- short: 20
- volatility window: 30
- stop forecast periods: 7
- stop forecast standard deviations: 1
The trend will be up when the 20 period moving average is above the 50
period moving average. On each bar, the historical volatility will be
calculated from the previous 30 bars. If the historical volatility is 0.65
(65%), then a forecast will be drawn as a fuchsia line, subtracting
0.65 * sqrt(7 / 365) from the closing price. If price at any point falls
below the forecast, the volatility stop is in place, and the trend is
negated.
OUTPUTS
Plots:
- The trend is shown by painting the slow moving average green (up), red
(down), or black (none; volatility stop).
- The fast moving average is shown in faint blue
- The previous volatility forecasts are shown in faint fuchsia
- The current volatility forecast is shown as a fuchsia line, projecting
into the future as far as it is valid.
Tables:
- The current historical volatility is given in the top right corner, as a
whole number percentage.
- The performance table shows the mean, standard deviation, and sharpe
ratio of the volatility stop trend strategy, as well as buy and hold.
If the trend is up, each period's return is added to the sample (the
strategy is long). If the trend is down, the inverse of each period's
return is added to the sample (the strategy is short). If there is no
trend (the volatility stop is active), the period's return is excluded
from the sample. Every period is added to the buy-and-hold strategy's
sample. The total number of periods in each sample is also shown.
Shapeshifting Moving Average - Switching From Low-Lag To SmoothThe term "shapeshifting" is more appropriate when used with something with a shape that isn't supposed to change, this is not the case of a moving average whose shape can be altered by the length setting or even by an external factor in the case of adaptive moving averages, but i'll stick with it since it describe the purpose of the proposed moving average pretty well.
In the case of moving averages based on convolution, their properties are fully described by the moving average kernel ( set of weights ), smooth moving averages tend to have a symmetrical bell shaped kernel, while low lag moving averages have negative weights. One of the few moving averages that would let the user alter the shape of its kernel is the Arnaud Legoux moving average, which convolve the input signal with a parametric gaussian function in which the center and width can be changed by the user, however this moving average is not a low-lagging one, as the weights don't include negative values.
Other moving averages where the user can change the kernel from user settings where already presented, i posted a lot of them, but they only focused on letting the user decrease or increase the lag of the moving average, and didn't included specific parameters controlling its smoothness. This is why the shapeshifting moving average is proposed, this parametric moving average will let the user switch from a smooth moving average to a low-lagging one while controlling the amount of lag of the moving average.
Settings/Kernel Interaction
Note that it could be possible to design a specific kernel function in order to provide a more efficient approach to today goal, but the original indicator was a simple low-lag moving average based on a modification of the second derivative of the arc tangent function and because i judged the indicator a bit boring i decided to include this parametric particularity.
As said the moving average "kernel", who refer to the set of weights used by the moving average, is based on a modification of the second derivative of the arc tangent function, the arc tangent function has a "S" shaped curve, "S" shaped functions are called sigmoid functions, the first derivative of a sigmoid function is bell shaped, which is extremely nice in order to design smooth moving averages, the second derivative of a sigmoid function produce a "sinusoid" like shape ( i don't have english words to describe such shape, let me know if you have an idea ) and is great to design bandpass filters.
We modify this 2nd derivative in order to have a decreasing function with negative values near the end, and we end up with:
The function is parametric, and the user can change it ( thus changing the properties of the moving average ) by using the settings, for example an higher power value would reduce the lag of the moving average while increasing overshoots. When power < 3 the moving average can act as a slow moving average in a moving average crossover system, as weights would not include negative values.
Here power = 0 and length = 50. The shapeshifting moving average can approximate a simple moving average with very low power values, as this would make the kernel approximate a rectangular function, however this is only a curiosity and not something you should do.
As A Smooth Moving Average
โSo smooth, and so tranquil. It doesn't get any quieter than thisโ
A smooth moving average kernel should be : symmetrical, not to width and not to sharp, bell shaped curve are often appropriates, the proposed moving average kernel can be symmetrical and can return extremely smooth results. I will use the Blackman filter as comparison.
The smooth version of the moving average can be used when the "smooth" setting is selected. Here power can only be an even number, if power is odd, power will be equal to the nearest lowest even number. When power = 0, the kernel is simply a parabola:
More smoothness can be achieved by using power = 2
In red the shapeshifting moving average, in green a Blackman filter of both length = 100. Higher values of power will create lower negative values near the border of the kernel shape, this often allow to retain information about the peaks and valleys in the input signal. Power = 6 approximate the Blackman filter pretty well.
Conclusion
A moving average using a modification of the 2nd derivative of the arc tangent function as kernel has been presented, the kernel is parametric and allow the user to switch from a low-lag moving average where the lag can be increased/decreased to a really smooth moving average.
As you can see once you get familiar with a function shape, you can know what would be the characteristics of a moving average using it as kernel, this is where you start getting intimate with moving averages.
On a side note, have you noticed that the views counter in posted ideas/indicators has been removed ? This is truly a marvelous idea don't you think ?
Thanks for reading !
HullMA cross StrategyFrom Indicator420 by SeaSide420 HULL MOVING AVERAGE CROSS & CANDLE CROSS
Hull Moving Average (HMA) formula
Integer(SquareRoot(Period)) WMA (2 x Integer(Period/2) WMA(Price) - Period WMA(Price))
Solving the problem of lag requires an explanation with numbers rather than charts. Consider a series of 10 numbers from '0' to '9' inclusive and imagine that they are successive price points on a chart with 9 being the most recent price point at the right hand leading edge.
If we take the 10 period simple average of these numbers then, not surprisingly, we will determine the midpoint of 4.5 which significantly lags behind the most recent price point of 9. Here's the clever bit, first let's halve the period of the average to 5 and apply it to the most recent numbers of 5, 6, 7, 8 and 9, the result being the midpoint of 7.
To remove the lag we take the midpoint of 7 and add the difference between the two averages which equals 2.5 (7 - 4.5). This gives a final answer of 9.5 (7 + 2.5) which is a slight overcompensation. But this overcompensation is very handy because it offsets the lagging effect of the nested averaging.
Hence the result of combining these 2 techniques is a near perfect balance between lag reduction and curve smoothing. The HMA manages to keep up with rapid changes in price activity whilst having superior smoothing over an SMA of the same period.
The HMA employs weighted moving averages and dampens the smoothing effect (and resulting lag) by using the square root of the period instead of the actual period itself.
There are 3 HullMAs in the script, one runs on current price, and others on previous candle prices, when they cross over, is the entry signal.
The strategy also includes a candle cross condition for entry:
(if current price greater than previous candle value (Open+High+Low+Close)/4) then BUY
(if current price less than previous candle value (Open+High+Low+Close)/4) then SELL
in total 4 crossover conditions must be met to initiate a signal.
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes
EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions.
Strategy Overview
This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologiesโreverse signal, ATR-based stop/take profit, or fixed percentageโgiving you the control to adapt your risk profile to different market regimes.
Key Features
Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives.
Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold.
Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals.
Three Exit Modes:
Reverse Signal: Exit trades when a new, opposite entry signal occurs.
ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss.
Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds.
Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels.
Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight.
How It Works
Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met.
Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss.
Flexible Data Analysis: The EMA source can be chosen from six optionsโstandard price, volume, rate of change, or their Heikin Ashi variantsโallowing experimentation with different market dimensions.
Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios.
Backtest & Optimization: The strategy is fully backtestable within TradingViewโs Strategy Tester, with adjustable parameters for optimization.
Customization & Usage
Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence).
Filter Toggles: Enable/disable ADX and volume filters as desiredโuseful for different market environments.
Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameterโideal for adapting to ranging vs. trending markets.
Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring.
Who Should Use This Strategy?
Trend Followers seeking to ride strong moves with multiple exit options.
Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis.
Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas.
Getting Started
Apply the script to your chart and review default settings.
Customize parametersโEMA length, ADX threshold, volume settings, exit typeโas desired.
Backtest on multiple instruments and timeframes to evaluate performance.
Optimize filters, exit rules, and risk parameters for your preferred trading style.
Monitor with the real-time info panel and trade alerts.
Disclaimer
This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital.
โ Happy Trading โ
Feel free to adapt, share, and contribute to this open-source strategy!
FUMO MA Cross Matrix 9/21/50/100/200 FUMO MA Cross Matrix is a flexible and advanced indicator designed for traders who rely on moving average crossovers as part of their strategy.
๐น Key Features:
Supports 5 types of Moving Averages: EMA, SMA, SMMA (RMA), WMA, HMA.
Includes 5 standard MAs: 9, 21, 50, 100, 200 (toggle on/off individually).
Choose which MA crosses to monitor (9ร21, 21ร50, 50ร100, 100ร200, and 6 extended combinations).
On-chart signals (labels) when crosses occur.
Alerts system for every selected cross and also summary alerts (โAny Cross Up/Downโ).
Option to trigger signals only on confirmed bars (no repaint).
Fully adjustable label visibility and signal style.
๐น Use Cases:
Detect trend shifts (short-term vs long-term).
Build scalping, swing, or position trading strategies.
Combine with price action or volume analysis for stronger setups.
Quickly react to Golden Cross and Death Cross events.
๐น How to Use:
Select your preferred MA type (EMA, SMA, etc.).
Enable the MAs (9, 21, 50, 100, 200) you want to plot.
Choose which crossovers to track in the settings.
Enable/disable on-chart labels for better visualization.
Set up alerts:
โCROSS UP/DOWN X>Yโ for specific pairs.
โANY CROSS UP/DOWNโ for aggregated signals.
๐ Example Alerts
MA Cross UP 9>21 on BTCUSDT 15m @ 65432
Any selected MA cross DOWN on AAPL 1D @ 195.2
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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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.
