Rozpocznij

Educational

Motivation Display on Your Chart - Custom TextOverview: Custom Text Display Indicator This innovative indicator enhances your charting experience by displaying personalized text directly on your charts. Whether you want to inspire yourself with divine quotes, motivational messages, or custom text, this tool provides a seamless way to add a personal touch to your charts. Key Features: Custom Text Options: Add up to six different text inputs to display on your chart. Ideal for motivational messages, divine quotes, or even quick reminders. Automatic Toggling: Text toggles sequentially at user-defined intervals, creating a dynamic and engaging charting experience. Live Market Toggle Feature: During live market hours, the text will toggle dynamically as per the set interval. Outside of market hours, the indicator ensures Text 1 remains fixed, avoiding unnecessary movement and keeping your charts clean during non-trading times. Adjustable Toggle Speed: Control how frequently the text changes with a customizable toggle speed measured in chart bars. Enable/Disable Individual Text: Each text input can be enabled or disabled, allowing you to display only the messages you want. Improved Charting Experience: Add a unique, personalized touch to your charts that keeps you motivated and focused while making your workspace visually appealing. Why Use This Indicator? This feature is ideal for traders and analysts who spend extensive hours on charts. The live-market toggle ensures a dynamic experience during active trading hours while keeping it simple and fixed during offline times. Stay inspired and make charting an enjoyable process!
Wskaźnik Pine Script™
od GG-EK
US Treasury Yields ROC1. Motivation and Context The yield curve, which represents the relationship between bond yields and their maturities, plays a pivotal role in macroeconomic analysis and market forecasting. Changes in the slope or curvature of the yield curve are often indicative of investor expectations about economic growth, inflation, and monetary policy. For example: • Steepening curves may indicate economic optimism and rising inflation expectations. • Flattening curves are often associated with slower growth or impending recessions. Analyzing these dynamics with quantitative tools such as the rate of change (ROC) enables traders and analysts to identify actionable patterns in the market. As highlighted by Gürkaynak, Sack, and Wright (2007), the term structure of interest rates embeds significant economic information, and understanding its movements is crucial for both policy makers and market participants. 2. Methodology 2.1 Input Parameters The script takes the following key input: • ROC Period (roc_length): Determines the number of bars over which the rate of change is calculated. This is an adjustable parameter (14 by default), allowing users to adapt the analysis to different timeframes. 2.2 Data Sources The yields of the US Treasury securities for different maturities are fetched from TradingView using the request.security() function: • 2-Year Yield (TVC:US02Y) • 5-Year Yield (TVC:US05Y) • 10-Year Yield (TVC:US10Y) • 30-Year Yield (TVC:US30Y) These yields are central to identifying trends in short-term versus long-term rates. 2.3 Visualization Plots: The ROC values for each maturity are plotted in distinct colors for clarity: • 2Y: Blue • 5Y: Yellow • 10Y: Green • 30Y: Red Background Highlight: The script uses color-coded backgrounds to visualize the identified curve regimes: • Bull Steepener: Neon Green • Bear Steepener: Bright Red • Bull Flattener: Blue • Bear Flattener: Orange 2.4 Zero Line A horizontal zero line is included as a reference point, allowing users to easily identify transitions from negative to positive ROC values, which may signal shifts in the yield curve dynamics. 3. Implications for Financial Analysis By automating the identification of yield curve dynamics, this script aids in: • Macroeconomic Forecasting: Steepeners and flatteners are associated with growth expectations and monetary policy changes. For instance, Bernanke and Blinder (1992) emphasize the predictive power of the yield curve for future economic activity. • Trading Strategies: Yield curve steepening or flattening can inform bond market strategies, such as long/short duration trades or curve positioning. 4. References 1. Bernanke, B. S., & Blinder, A. S. (1992). “The Federal Funds Rate and the Channels of Monetary Transmission.” American Economic Review, 82(4), 901–921. 2. Gürkaynak, R. S., Sack, B., & Wright, J. H. (2007). “The U.S. Treasury Yield Curve: 1961 to the Present.” Journal of Monetary Economics, 54(8), 2291–2304. 3. TradingView Documentation. “request.security Function.” Retrieved from TradingView.
Wskaźnik Pine Script™
od EdgeTools
Portföy Takip 2025 TWPortföy takip indikatörü; (Excell listeyi olmadan anlık ekranınızda) Portföy takip indikatörü Tradingview aboneliğiniz var ise herhangi bir yan ekranda şablon olarak açık kullanabileceğiniz 25 hisseye kadar listeyi uzatabileceğiniz yada her eklemede başka bir portföyü ekran içinde pozisyon ayarları ile konumlandırabileceğiniz bir portföy takip indikatörüdür, amacı elinizde bulundurduğunuz hisselerin son durumlarını kaçırmamak ve anlık bilgi olarak başka bir yerde excell dosyası tutmadan portföyünüzün kar olarak TL bazlı ve % olarak ne durumda olduğunuzu görmenizi sağlar, karlı pozisyonlarda hedefinize olan % oranı turuncu renk ile pozisyonu kapatmanız halinde kapanan pozisyonun toplam tutarı siyah renk ile ve pozisyonun son durumu alış maliyet fiyatınıza göre yüzde kaç artıda ve kaç TL artıda olduğunuzu ise yeşil renk ile belirterek elinizdeki hisselerden hangilerini kar alma odaklı yakından takip etmenize imkan sağlamaktır amacı, böylelikle elinizdeki portföy ne kadar dağınık olursa riskiniz o kadar az olacağı gibi takibi de bir o kadar dağılmadan kolay olacaktır. Kapatmak için yakın takibe alacağınız hisse hedefinize ulaşıp kar alındığı zaman o hissenin kapanışını yaparak portföy listesinden tek olarak çıkartıp varsa takibini yaptığınız Excell listenize arşiv olarak saklayıp takibini bırakabilirsiniz, o satır artık toplamlardan ve listenin alttaki uzunluğundan kalkacaktır. Not listedeki hisse senetleri örnek amaçlı yazılmıştır, listenin nasıl olduğunun görüntülenmesi amacıyla yapılmıştır, herhangi bir yatırım tavsiyesi içermemektedir. Buradaki bilgi, yorum ve tavsiyeler yatırım danışmanlığı kapsamında değildir. Yatırım danışmanlığı, yalnızca yetkili kurumlarla imzalanacak sözleşmeler çerçevesinde yapılabilir. Buradaki yorumlar kişisel görüşleri yansıtır ve mali durumunuzla uyumlu olmayabilir. Sadece buradaki bilgilere dayanarak yatırım kararı almak beklediğiniz sonuçları doğurmayabilir.
Wskaźnik Pine Script™
od kadriyamacli
6
WP Dominant BU BD FVG MARK Stc Detectionfirst trial error. use with great awareness. This script is a technical analysis tool created to detect and visualize two important market patterns: Dominant Break Up (DBU) and Dominant Break Down (DBD). These patterns provide insight into market sentiment and potential price movement reversals or continuations. Here’s a detailed explanation of how the script works: 1. Purpose of the Script The script identifies specific formations of candlesticks that indicate strong upward (DBU) or downward (DBD) trends. By highlighting these patterns directly on the chart, traders can quickly assess the market situation and make informed decisions. 2. Components of the Script a) DBU (Dominant Break Up) Pattern The DBU pattern indicates bullish strength, where the market shows a dominant upward move. Rules for DBU: At least 5 candles are analyzed: the first 4 must be green (bullish candles), followed by 1 red (bearish) candle. The open price of the fifth candle must: Be higher than the closing prices of the 4 previous green candles. Be lower than the close price of the last (current) candle. Visualization for DBU: Green triangle symbol is plotted below the DBU candle to indicate bullish strength. A transparent purple box highlights the relevant price range over the detected candles. b) DBD (Dominant Break Down) Pattern The DBD pattern signals bearish strength, where the market shows a dominant downward move. Rules for DBD: At least 5 candles are analyzed: the first 4 must be red (bearish candles), followed by 1 green (bullish) candle. The open price of the fifth candle must: Be lower than the closing prices of the 4 previous red candles. Be higher than the close price of the last (current) candle. Visualization for DBD: Red triangle symbol is plotted above the DBD candle to indicate bearish strength. A transparent orange box highlights the relevant price range over the detected candles. 3. How It Works The script analyzes historical price data using the open, close, high, and low values for the last 5 candles. It applies mathematical conditions to check for the patterns: Identifies whether the recent candles are predominantly bullish or bearish. Checks whether the open price of the critical candle (fifth candle) satisfies specific criteria related to the previous candles. When a pattern is detected, the script automatically: Draws symbols (triangleup for DBU and triangledown for DBD) to indicate the pattern on the chart. Draws a shaded box over the candle range to provide a clear visual highlight. 4. Benefits Simplicity: Patterns are automatically detected and highlighted, saving time and effort for traders. Versatility: Can be applied to any time frame or market (stocks, forex, crypto, etc.). Actionable Insights: Helps traders spot potential reversal zones, trend continuations, or breakout opportunities. 5. Practical Usage Add this script to your trading platform (e.g., TradingView). Apply it to your preferred chart. Look for the visual cues (triangles and shaded boxes) to identify DBU and DBD patterns. Use these patterns in combination with other indicators or analysis techniques for better decision-making. 6. Limitations It may generate false signals in choppy or low-volume markets. Best used in trending markets or with confirmation from other indicators. Traders should backtest and validate the script before relying on it in live trading. By automating the detection of DBU and DBD patterns, this script is a powerful tool for traders who rely on candlestick analysis to make quick and informed decisions.
Wskaźnik Pine Script™
od pratomo77
Alligator IndicatorThe Alligator Indicator is a popular tool created by Bill Williams. It uses three moving averages (referred to as the “Jaw,” “Teeth,” and “Lips”) with different lookback periods and forward offsets. By combining these three lines, the Alligator helps traders visually identify market trends, potential turning points, and periods of consolidation. Jaw (blue): The longest moving average, shifted the farthest forward. Teeth (red): A medium-length moving average, shifted moderately forward. Lips (green): The shortest moving average, shifted the least. When these lines “open up” and separate, it suggests a strong directional move (the Alligator is “awake and feeding”). When they converge or overlap, it indicates market indecision or consolidation (the Alligator is “sleeping”). Traders often watch for crossovers between these lines to identify potential trend reversals or breakout entries. This indicator can be combined with other tools (like momentum or volume analysis) to help confirm trade signals.
Wskaźnik Pine Script™
od magic360
Big Whale Finder (BWF)The Big Whale Finder (BWF) indicator is a technical analysis tool designed to detect large, hidden orders in financial markets. These orders, often placed by institutional traders or "whales," are significant in size but executed in a way that minimizes their impact on the market price. This tool uses volume-based analysis to identify these orders, focusing on the detection of unusual volume spikes occurring in price regions where the market remains stagnant or shows minimal movement. The indicator aims to help traders identify potential areas of institutional activity, providing a strategic advantage by recognizing patterns of hidden liquidity. Core Logic and Methodology The BWF indicator combines two key factors to identify potential "whale" activity: Volume Analysis: The first condition evaluates the volume relative to its average over a defined period. This is done by calculating the Simple Moving Average (SMA) of the volume and comparing current volume levels against this average. When the volume is significantly higher than the historical average, it signals the presence of a potentially large order. Volume Threshold=Current Volume>(Average Volume×Threshold Factor) Volume Threshold=Current Volume>(Average Volume×Threshold Factor) According to market theory, large trades or "whale" activities often require substantial volumes to be executed. Identifying these anomalies can offer insights into the behavior of institutional players who seek to execute large transactions without disturbing the market (Lo, 2004). Price Movement Analysis: The second condition considers the price change in relation to the volume. Specifically, if high volumes are detected but the price remains relatively stable, this suggests that large orders are being executed without significantly impacting the market price. This phenomenon often occurs in "liquidity pools" or through algorithms designed to mask the true size of the orders. The indicator uses a price change threshold to identify this stagnation, with the condition that price movement remains below a certain percentage threshold. Price Stagnation=(∣Close−Open∣Open)<Price Change Threshold Price Stagnation=(Open∣Close−Open∣​)<Price Change Threshold This principle is aligned with research on market microstructure, which suggests that large institutional orders often attempt to hide their true size to avoid influencing the market (Hasbrouck, 1991). Practical Use and Benefits The Big Whale Finder (BWF) indicator is useful for identifying zones where large, potentially hidden orders are being executed. Traders often seek to detect these areas to better understand market dynamics and anticipate price movements. The benefits of using such an indicator include: Increased Market Awareness: By identifying areas of high volume with minimal price movement, traders can spot potential "whale" activity that may indicate significant institutional involvement. These hidden large orders are not immediately visible in the market price, but their impact can become evident over time (Kyle, 1985). Strategic Entry and Exit Points: Identifying areas with hidden liquidity can help traders make more informed decisions about where to enter or exit positions. A large institutional order may signal strong interest in a specific price level, and understanding this can guide strategic decisions regarding support and resistance levels. Mitigating Price Impact: Knowing where these large orders are placed can also assist traders in avoiding price levels where they are more likely to face slippage. For instance, avoiding areas where whales are accumulating or distributing assets may help reduce the risk of unfavorable price movements. Scientific Foundations and References The underlying logic of this indicator draws heavily on established theories in market microstructure and behavioral finance, particularly the concept of hidden liquidity and information asymmetry. Market participants, especially institutional traders, frequently employ strategies to hide the true size of their orders to avoid influencing the market (Hasbrouck, 1991). These strategies include the use of dark pools, where large trades are executed privately and away from public view, and algorithmic trading systems that spread large orders across multiple price levels to minimize market impact (Lobel, 2012). Research has shown that understanding these hidden liquidity dynamics can give traders a significant edge. For example, Hasbrouck (1991) emphasized that large, hidden orders may signal upcoming price trends, as they often precede significant market moves. Similarly, Lo (2004) highlighted that institutional traders' strategies to hide orders are a critical factor in market behavior, suggesting that the ability to detect these activities could enhance trading strategies. Conclusion The Big Wale Finder (BWF) indicator provides a powerful tool for identifying areas where large orders are being executed without significantly impacting the price. By analyzing volume and price stagnation, it helps traders uncover hidden liquidity, which is critical for anticipating potential price movements. This indicator's effectiveness lies in its ability to detect "whale" activity, offering traders insights into the actions of institutional market participants. Understanding and leveraging these insights can provide a strategic advantage in the highly competitive and information-rich landscape of financial markets. References Hasbrouck, J. (1991). Measuring the Information Content of Stock Trades. Journal of Finance, 46(1), 179-207. Kyle, A. S. (1985). Continuous Auctions and Insider Trading. Econometrica, 53(6), 1315-1335. Lo, A. W. (2004). The Adaptive Markets Hypothesis: Market Efficiency from an Evolutionary Perspective. Journal of Portfolio Management, 30(5), 15-29. Lobel, S. (2012). Dark Pools, Price Discovery, and Market Liquidity. The Journal of Trading, 7(1), 35-42.
Wskaźnik Pine Script™
od EdgeTools
Improved Trend Shot | JeffreyTimmermansImproved Trend Shot The "Improved Trend Shot" is an advanced trend-following tool that integrates cutting-edge features and the principles of John Ehlers’ SuperSmoother Filter to provide traders with more accurate trend detection and better decision-making. This enhanced version includes multiple smoothing types, customizable lengths, dynamic alerts, and a comprehensive dashboard to help traders quickly interpret market conditions. This script is inspired by "TRW" . However, it is more advanced and includes additional features and options. Key Features and Improvements Smoothed Lines and Trend Detection The core of the Improved Smooth Trend Shot relies on three key lines to capture market momentum: Fast Line: Highly sensitive to short-term price changes, offering rapid responsiveness to market movements. Middle Line: Provides a medium-term view of market trends, acting as a more stable reference. Slow Line: Focuses on long-term trends, offering a broader perspective on market direction. These three smoothed lines interact dynamically to create a visual color-coded cloud that helps traders easily interpret market conditions: Green Cloud: Indicates an upward trend when the Fast line is above the Slow line. Red Cloud: Signals a downward trend when the Fast line is below the Slow line. The cloud color adjusts based on the relative positioning of the Fast, Middle, and Slow lines, helping traders to identify bullish or bearish trends with ease. Dynamic Cloud Visualization and Alerts The cloud and trend lines adapt to market conditions, updating in real-time to reflect changes in trend strength and momentum. Traders can also set up real-time alerts to notify them of important trend shifts, such as: Fast and Slow Crossovers: Alerts when the Fast line crosses the Slow line. Middle and Slow Crossovers: Alerts when the Middle line crosses the Slow line. This makes it easier to capture trading opportunities and respond promptly to market changes. Enhanced Smoothing Options Traders can now choose from multiple smoothing types, including: EMA (Exponential Moving Average) SMA (Simple Moving Average) DEMA (Double Exponential Moving Average) WMA (Weighted Moving Average) Each smoothing type has different properties, allowing traders to select the best fit for their trading style. The smoothing length can also be customized, offering flexibility in fine-tuning how sensitive or stable the trend lines should be. Improved Signal Logic and Precision The signal logic has been optimized for better precision. Now, the system provides more accurate buy and sell alerts based on: Trend Detection: The color-coded cloud and the relative positions of the Fast, Middle, and Slow lines help visualize whether the trend is bullish or bearish. Rising and Falling Indicators: The indicator also checks if each line is rising or falling over the last three bars, offering early signals of momentum shifts. Dashboard Insights The dashboard provides real-time updates on the positions and movements of the smoothed lines: Line Positions: Displays the positions of the Fast, Middle, and Slow lines. Trend Direction: Shows whether each line is rising or falling. Price Levels: Displays the price levels for each of the smoothed lines, offering clear reference points for market evaluation. These features help traders better understand the state of the market, offering valuable insights for both trend-following and reversal-based strategies. Crossovers and Signal Triggers The Improved Smooth Trend Shot focuses on crossovers between the different smoothed lines as primary trading signals. There are two types of crossovers: Fast Shots: This occurs when the Fast line crosses the Slow line. Slow Shots: This occurs when the Middle line crosses the Slow line. These crossovers serve as key entry or exit points for traders, helping them spot potential trend reversals. The improved logic ensures that crossovers are accurately detected, reducing the chances of false signals. Customization Options The Improved Smooth Trend Shot offers a high degree of customization: Smoothing Length: Adjust the smoothing period to balance between fast responses and stable trends. Source Selection: Default to the average of high and low prices (hl2), or choose other price sources. Smoothing Type: Select from EMA, SMA, DEMA, or WMA for personalized trend analysis. Signal Type: Choose between Fast Shots or Slow Shots based on the type of crossover you want to focus on. Long, Medium, and Short-Term Applications Although the default settings are optimized for long-term trend analysis, the Improved Smooth Trend Shot is highly adaptable. By adjusting the smoothing length and selecting different smoothing types, traders can use the tool for: Short-Term Trading: Focus on fast responses to market shifts using shorter smoothing periods. Medium-Term Trading: Tailor the settings to capture intermediate trends. Long-Term Trend Analysis: Use longer smoothing periods for a more stable and comprehensive view of market dynamics. Advanced ATR Filtering and Alerts The inclusion of ATR (Average True Range) filtering helps ensure that signals are triggered only when significant price movements occur. This helps reduce noise and false signals, ensuring traders only act on meaningful market shifts. Conclusion The Improved Smooth Trend Shot is a powerful and versatile tool that enhances the original SuperSmoother Filter with advanced features like customizable smoothing options, real-time alerts, and an intuitive dashboard. Whether you're a day trader, swing trader, or long-term investor, this enhanced indicator provides a comprehensive and actionable view of market trends. The combination of enhanced signal accuracy, dynamic trend visualization, and in-depth customization ensures that the Improved Smooth Trend Shot is an indispensable tool for traders across all market conditions. -Jeffrey
Wskaźnik Pine Script™
od JeffreyTimmermans
NDX-QQQ-NQ Conversion Table### NDX-QQQ-NQ Conversion Table #### Description The "NDX-QQQ-NQ Conversion Table" Pine Script indicator provides a conversion table for various Nasdaq-related financial products. It uses the NDX (Nasdaq 100 Index) as the primary reference and computes the equivalent values for QQQ, NQ1!, and TQQQ. The script allows users to input values for any of these products and see the corresponding values for the others. #### Usage Guide 1. **Add the Script to Your Chart:** - Open TradingView. - Create a new Pine Script and paste the provided code. - Save and add the script to your chart. 2. **Input Values:** - The script provides input fields for each product (NDX, QQQ, NQ1!, TQQQ). - Enter a value for any product to see the equivalent values for the others. 3. **Show/Hide Products:** - Use the boolean inputs to show or hide specific products in the table. - By default, NDX, QQQ, and NQ1! are checked and visible, while TQQQ is unchecked and hidden. 4. **View the Conversion Table:** - The conversion table is displayed in the top-right corner of the chart. - It shows the product names and their corresponding values based on the input provided. #### Example - If you input a value for NDX, the script will compute and display the equivalent values for QQQ, NQ1!, and TQQQ. - You can toggle the visibility of each product using the provided boolean inputs. This script is useful for traders and analysts who need to quickly convert and compare values across different Nasdaq-related financial products.
Wskaźnik Pine Script™
od teddysc
Drawdown Tracker [SpokoStocks]Drawdown Tracker The Drawdown Tracker is a powerful tool designed to help traders monitor and visualize the drawdown of symbol. By tracking both current and maximum drawdown levels, this indicator provides valuable insights into risk and potential capital preservation. Features: > Current Drawdown: The current drawdown is calculated as the percentage drop from the record high to the current low, providing a real-time view of the loss from the peak. > Maximum Drawdown: The maximum drawdown represents the deepest drop observed from any peak in the historical data, giving an understanding of the worst-case scenario for losses. > You can choose between two modes: Full History: Tracks the maximum drawdown from the entire available data. Rolling Period: Tracks the maximum drawdown within a defined rolling period (default 50 bars), allowing for a shorter-term risk assessment. > Customizable Rolling Period: You can adjust the rolling period length through the Rolling Period Length input to reflect different time frames for drawdown calculations. > Warning Level: A customizable warning level (default -65%) is plotted on the chart. This acts as a threshold to alert users when the drawdown crosses into a potentially concerning territory. > Gradient Color Visualization: The current drawdown is visualized using a gradient color, transitioning from red to yellow as the drawdown increases from -100% to 0%, providing an easy-to-interpret view of the severity of the drawdown. > New Max Drawdown Marker: Whenever a new maximum drawdown is recorded, a triangle marker is displayed at the bottom of the chart, along with a label showing the drawdown percentage. This provides clear visual confirmation when a new historical low is reached. > Alerts: Warning Level Breach Alert: Alerts you when the drawdown breaches the warning level you’ve set, helping you stay aware of significant risk events. New Max Drawdown Alert: Triggers when a new maximum drawdown is recorded, allowing you to act quickly if necessary. Use Cases: Risk Management: Keep track of how much an asset is down from the peak, helping you make informed decisions about risk and drawdown tolerances. Risk Disclaimer: The information provided by this script is for educational and informational purposes only. It is not intended as financial advice and should not be construed as such. All trading and investment activities involve a high level of risk and may result in the loss of capital. The user is solely responsible for any decisions made based on the content provided by this script. By using this script, you acknowledge and agree that you use it at your own risk. The creator of this script makes no warranties regarding the accuracy, completeness, or reliability of the information, and disclaims any responsibility for any losses or damages arising from its use. Always conduct your own research and consult with a qualified financial advisor before making any investment decisions.
Wskaźnik Pine Script™
od SpokoStocks
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions. The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action. Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions. By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy. SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends. Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions. The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities. Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend. CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction. Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit. By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly. MMBM : MMSM : 🔵 How to Use The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities. The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity. 🟣 Market Maker Buy Model In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts. After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation. 🟣 Market Maker Sell Model In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels. The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation. Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model. The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk. 🔵 Settings Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes. PD Array Period : Specifies the number of candles for identifying key swing points. ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR. Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom"). Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected). Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence. SMT Fractal Periods : Sets the number of candles required to identify SMT fractals. FVG Validity Period : Defines the validity duration for FVG zones. MSS Validity Period : Sets the validity duration for MSS zones. FVG Filter : Activates filtering for FVG zones based on width. FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive." Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to. Demand FVG : Enables the display of demand FVG zones. Supply FVG : Enables the display of supply FVG zones. Zone Colors : Allows customization of colors for demand and supply FVG zones. Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom. Top Line & Label : Enables or disables the SMT divergence line and label from the top. Show All HTF Levels : Displays all premium/discount levels on higher timeframes. High/Low Levels : Activates the display of high/low levels. Color Options : Customizes the colors for high/low lines and labels. Show All MSS Levels : Enables display of all MSS zones. High/Low MSS Levels : Activates the display of high/low MSS levels. Color Options : Customizes the colors for MSS lines and labels. 🔵 Conclusion The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision. The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit. By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
Wskaźnik Pine Script™
od TFlab
5
Combined Strategy for POLY/USDT1. Plan A (Trend-following): • Uses 50-period and 200-period SMAs to detect the direction of the trend. • Bullish Trend: If the current price is above the short-term SMA and the short-term SMA is above the long-term SMA. • Bearish Trend: If the current price is below the short-term SMA and the short-term SMA is below the long-term SMA. 2. Plan B (Momentum): • Uses MACD, RSI, and ADX to confirm momentum. • Bullish Momentum: If the MACD histogram is positive, ADX is above 20, and RSI is between 40 and 70. • Bearish Momentum: If the MACD histogram is negative, ADX is above 20, and RSI is between 30 and 60. 3. Combined Signal: • Buy Signal: If both Plan A (Bullish Trend) and Plan B (Bullish Momentum) are true. • Sell Signal: If both Plan A (Bearish Trend) and Plan B (Bearish Momentum) are true. Plotting: • The 50-period SMA and 200-period SMA are plotted on the chart. • Buy and Sell Signals are shown with green (for buy) and red (for sell) labels on the chart. • Background color changes when the market is in a bullish or bearish trend. Alerts: • Alerts are triggered when a buy or sell signal occurs, so you can get notified in real-time.
Wskaźnik Pine Script™
od inamulhaqawan