Mulakan

Analisis Trend

Time-Price Velocity [QuantAlgo]🟢 Overview The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions. This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula: velocity = priceChange / timeWeight The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings: normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0 where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period. The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time: acceleration = normalizedVelocity - normalizedVelocity Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness: signal = ta.ema(normalizedVelocity, smooth) This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point 2. Acceleration Analysis and Visual Features Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators 3. Additional Features: Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities Alert System: Built-in alerts for threshold crossovers and direction changes 🟢 Examples with Preconfigured Settings Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis. Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities. Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
Penunjuk Pine Script®
oleh QuantAlgo
3
Adaptive Market Profile – Auto Detect & Dynamic Activity ZonesAdaptive Market Profile is an advanced indicator that automatically detects and displays the most relevant trend channel and market profile for any asset and timeframe. Unlike standard regression channel tools, this script uses a fully adaptive approach to identify the optimal period, providing you with the channel that best fits the current market dynamics. The calculation is based on maximizing the statistical significance of the trend using Pearson’s R coefficient, ensuring that the most relevant trend is always selected. Within the selected channel, the indicator generates a dynamic market profile, breaking the price range into configurable zones and displaying the most active areas based on volume or the number of touches. This allows you to instantly identify high-activity price levels and potential support/resistance zones. The “most active lines” are plotted in real-time and always stay parallel to the channel, dynamically adapting to market structure. Key features: - Automatic detection of the optimal regression period: The script scans a wide range of lengths and selects the channel that statistically represents the strongest trend. - Dynamic market profile: Visualizes the distribution of volume or price touches inside the trend channel, with customizable section count. - Most active zones: Highlights the most traded or touched price levels as dynamic, parallel lines for precise support/resistance reading. - Manual override: Optionally, users can select their own channel period for full control. - Supports both linear and logarithmic charts: Simple toggle to match your chart scaling. Use cases: - Trend following and channel trading strategies. - Quick identification of dynamic support/resistance and liquidity zones. - Objective selection of the most statistically significant trend channel, without manual guesswork. - Suitable for all assets and timeframes (crypto, stocks, forex, futures). Originality: This script goes beyond basic regression channels by integrating dynamic profile analysis and fully adaptive period detection, offering a comprehensive tool for modern technical analysts. The combination of trend detection, market profile, and activity zone mapping is unique and not available in TradingView built-ins. Instructions: Add Adaptive Market Profile to your chart. By default, the script automatically detects the optimal channel period and displays the corresponding regression channel with dynamic profile and activity zones. If you prefer manual control, disable “Auto trend channel period” and set your preferred period. Adjust profile settings as needed for your asset and timeframe. For questions, suggestions, or further customization, contact Julien Eche (@Julien_Eche) directly on TradingView.
Penunjuk Pine Script®
oleh Julien_Eche
15
Chaos Theory : Expansion Analysis Uncovering Probable Price PathWhat is Chaos Theory? Chaos theory is the study of complex systems that appear random but actually follow deterministic mathematical laws. Discovered by meteorologist Edward Lorenz in the 1960s, it revealed that seemingly chaotic behavior often hides precise mathematical patterns. Key Concepts: The Butterfly Effect The famous principle that tiny changes in initial conditions can lead to vastly different outcomes. In markets, this means a small price movement at a critical juncture can cascade into major trend changes. Named after Lorenz's discovery that a butterfly flapping its wings in Brazil could theoretically cause a tornado in Texas. Sensitive Dependence on Initial Conditions Chaotic systems are extremely sensitive to their starting state. While we cannot predict exact long-term outcomes, we can identify probability zones where the system is likely to evolve. This is why weather forecasts work for days, not months - and why our indicator predicts price destinations, not timing. Strange Attractors In chaos theory, systems tend to evolve toward certain states called attractors. Price doesn't move randomly - it's drawn toward these mathematical attractors that we identify as probability zones. Fractals and Self-Similarity Chaotic systems display similar patterns at different scales. This is why price charts look similar whether viewing 1-minute or daily timeframes - the same mathematical forces operate across all time scales. Deterministic Chaos The paradox at the heart of chaos theory: systems that are completely deterministic (following precise mathematical rules) can produce behavior that appears random. Markets aren't random - they're chaotic, which means they're predictable within probability bounds. Why This Matters for Trading Traditional technical analysis assumes markets are either random (efficient market hypothesis) or follow simple patterns (support/resistance). Chaos theory reveals a third truth: markets are complex dynamical systems that follow mathematical laws we can model and predict - not with certainty, but with probability. This is the foundation of our indicator: applying the same mathematics that predicts weather patterns and planetary orbits to identify where price is mathematically likely to travel next. 🌟 Welcome to the World of Chaos Theory We hope to provide our clients with a program that will define future points to which we believe price will expand to, based on a given probability % of one event occurring rather than another. In this case, the other event = price not expanding to our predicted area and reaching an invalidation state. This entire theory and the work done assumes that price behaves like a complex dynamical system that is highly sensitive to initial conditions. 🔮 Predictive vs. Reactive Systems Pay special attention to the language used. Our belief is that we can provide you a tool that is predictive, not reactive - the latter of which falls into the class of descriptive systems. Although the term of price action study is referred to as time-series forecasting, most if not all of the works done under this umbrella do not forecast anything. They only describe the current or recent past state of affairs using averages, volume, volatility, and other concepts. 📊 Understanding Probability-Based Prediction A predictive system conjured from the world of chaos theory is not a final solution to the mystery of price. In reality, we only can give you probabilities of where price may end up - this would be a point in space, not time, which we believe would be more likely than another, depending on the analysis of the initial conditions. To make the point of the last paragraph crystal clear: while we can tell you, with respect to the probabilities, where price will end up in terms of a price point, we don't know WHEN. That is another part of the mystery that perhaps only clairvoyance can hope to uncover. 📈 Performance Statistics For the question of what the probabilities are, meaning the success of the follow through of price, the answer is given in a stats panel, which measures the success of promises made by the indicator - that price would reach a certain point before being invalidated by moving too far in the opposing direction. It's not helpful to advertise or make false claims, therefore one should take advantage that we offer a free version, and using a pre-defined lookback window, confirm the probability calculations and determine the follow through rate with respect to the specific symbol and timeframe that the user decides to use. ⚠️ What This Is Not What this is not → Descriptive. We have zero interest in describing what price is doing. In fact, the entire industry of price forecasting is dedicated to this task, therefore you can rest assured that any coincidence with an RSI or any type of moving average etc. is simply that - coincidence. We do not use any known pre-made indicators or formulas. It has been our belief that price has an underlying mathematical pattern that can be predicted within probability bounds. If you read that carefully, we are predicting the pattern, not looking to find and describe some sort of underlying structure. 🧩 Understanding Market Complexity It should be understood that price is a complex system, even if our initial assessment of the conditions are correct. We have to remember that price is a fractal structure - there are always different initial conditions clashing, as well as forming. This is without taking into account the manipulation of the system, as well as external intervention in the natural progression of the system by news or other significant events. --- 📋 To Summarize: 🔬 1. Chaos Theory Application to Markets - Novel Concept: Treating price as a chaotic particle rather than random movement - What This Means: Chaotic systems have underlying mathematical patterns that can be predicted within probability bounds - Your Benefit: Access to predictive mathematics previously used only in physics and meteorology 🧮 2. Complex Systems Mathematics - Novel Concept: Applying non-linear dynamical systems theory to financial markets - What This Means: Markets behave like complex adaptive systems with emergent properties - Your Benefit: Understanding market behavior at a fundamental mathematical level 🎯 3. Probability Field Mapping - Novel Concept: Creating mathematical probability fields for future price locations - What This Means: Each zone represents a calculated probability destination, not arbitrary support/resistance - Your Benefit: Trade toward mathematically-derived targets instead of guessing --- 💡 Why This is Fundamentally Different from All Other Indicators 📉 Traditional Indicators: - Use historical price data to create lagging signals - Based on statistical averages and linear mathematics - Assume markets are random or follow simple patterns - React to what already happened 🚀 This Chaos Theory Approach: - Uses mathematical modeling to predict future probability zones - Based on non-linear complex systems mathematics - Treats markets as chaotic but predictable systems - Proactively identifies where price is likely to go No Curve Fitting: Unlike indicators optimized for specific timeframes or instruments, chaos theory principles are universal mathematical laws that apply consistently across all markets. --- 🎁 Concrete Benefits You Receive 💫 1. Predictive Intelligence - Know probable price destinations before they're reached - Eliminate guesswork in setting profit targets - Make informed decisions about trade direction 🎯 2. Mathematical Precision - Every zone placement has mathematical justification - No subjective interpretation required - Consistent application across all market conditions 🌍 3. Universal Market Application - Works identically on forex, stocks, crypto, commodities - No need to adjust parameters for different instruments - Mathematical principles transcend market types 🏆 4. Professional-Grade Analysis - Access to institutional-level mathematical modeling - Same complexity as quantitative hedge fund systems - Simplified visual output for practical trading ✅ 5. Real-Time Performance Validation - Built-in statistics track actual prediction accuracy - Transparent performance measurement - Data-driven confidence in signal quality 🛡️ 6. Risk Management Precision - Mathematically-defined probable targets of desired and undesired price locations - Systematic approach eliminates emotional decisions ⏱️ 7. Multi-Timeframe Consistency - Zones maintain mathematical validity across timeframes - Higher timeframe bias with lower timeframe precision - Coherent analysis from scalping to position trading --- 🌟 Novel Trading Advantages Probability-Based Targeting: Instead of hoping price reaches your target, you're trading toward mathematically-calculated probability zones. Chaos Pattern Recognition: Probability-based predictions of the underlying chaotic patterns that govern price movement gives you an edge other traders don't possess. Dynamic Adaptation: Unlike static indicators, this system continuously recalculates based on evolving market mathematics. --- 🔄 Why This Represents a Trading Evolution From Reactive to Predictive: Traditional analysis tells you what happened. Chaos theory mathematics tells you what's likely to happen. From Subjective to Objective: No more debating support and resistance levels. Mathematics determines probable price destinations. From Curve-Fitted to Universal: Based on fundamental mathematical principles that work consistently across all markets and timeframes. From Emotional to Systematic: Clear mathematical signals eliminate the psychological challenges that destroy most traders. This indicator doesn't just give you another way to analyze markets - it gives you access to an entirely different mathematical framework for understanding price behavior. You're not getting a variation of existing concepts; you're getting a completely novel approach based on advanced mathematical principles that treat markets as the complex systems they actually are. --- 📚 How to Use the Indicator 🎨 Zone Mechanics • Orange Zones: Target areas for price expansion • Activation Trigger: Price must close outside any zone (full candle body, not just wicks) • Primary Rule: Price travels to the next zone before closing back behind the originating zone border 🔴 Understanding the Red Dots • Red dots on chart: Represent areas where we had valid zone sets available for trading • Empty spaces indicate: Areas where price closed past the highest/lowest zone or where zone invalidation occurred • Important note: We cannot always identify zones. Simply wait or switch timeframe/symbol
Penunjuk Pine Script®
oleh jacesabr_real
UDI Directional Lines 5/20emaThis indicator indicates the use of ema lines to determine the change of directions where: - 5ema black line indicates small trend shift - 20ema red line indicates big trend shift On top of it the circles below the chart shows the momentum to execute where - green indicates bull trend and cycle - red indicates red trend and cycle With the combination of direction and momentum there will be more accuracy in tracking the trend movement of a particular asset
Penunjuk Pine Script®
oleh TeddySin
TZtraderTZtrader This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea. Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status. The script First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup. Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button. One visual with three setups. The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red). Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals. The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts. The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short. The table below gives a summary of scripted alerts: Setup = Where = When = Purpose Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes Long = COG = First crossing = Uptrend might end warning Long = Orange Zone = Bars come from higher zones = Uptrend ended take care Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes Short = COG = First crossing = Downtrend might end warning Short = Green Zone = Bars come from lower zones = Downtrend ended take care Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation. When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones. Suppressing false and annoying signals The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts. The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur. Inputs “Setup”, default is long, drop down menu provides long, short and bare. “Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works. “show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’. Logical Stops The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup. COG versus other lines Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel. A multi timeframe application. In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches. The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits. You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week). Dear day-traders, may this tool be helpful and may your days be blessed. Take care
Penunjuk Pine Script®
oleh eykpunter
2
Simple Trend Indicator (Heikin-Ashi) | Lyro RSSimple Trend Indicator (Heikin-Ashi) A momentum oscillator using Heikin-Ashi smoothed data to filter trend direction with zero-line crosses. This indicator calculates the normalized deviation of Heikin-Ashi OHLC values from their Simple Moving Average (SMA), then averages these deviations into a single oscillator. It simplifies trend detection by: Reducing noise via Heikin-Ashi smoothing. Highlighting momentum shifts through a zero-line cross system (bullish/bearish). Providing clear visual signals with color-coded plots and directional dots. Originality: Unlike standard momentum oscillators, this tool uniquely combines: Heikin-Ashi normalization for cleaner trend analysis. Multi-component averaging (high, open, low, close) to balance sensitivity. Minimalist design for clutter-free charting. How It Works: Data Input: Fetches Heikin-Ashi OHLC values using request.security(). Momentum Calculation: For each Heikin-Ashi component: Computes % deviation from its SMA: (value − SMA(value, length)) / SMA(value, length) * 100. Oscillator: Averages deviations of all four components into one line (sum). Signals: Bullish: Oscillator > 0 (green). Bearish: Oscillator < 0 (red). Cross Confirmation: Dots (⦿) mark zero-line crosses. Usage: Trend Following: Enter long/short on sustained oscillator breaks above/below zero. Reversal Watch: Zero-line crosses may hint at weakening momentum. Filter: Combine with volume or support/resistance levels. ⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Penunjuk Pine Script®
oleh LyroRS
Mara JPY Bias ProMara JPY Bias Pro™ is a precision tool built for serious traders who focus on JPY and USD pairs. This synthetic index combines USDJPY + EURJPY + GBPJPY, generating a smooth and dynamic representation of JPY strength or weakness. When the line turns green, JPY is weakening — time to look for LONG setups on XXX/JPY pairs. When red, JPY is strengthening — ideal moment for SHORT trades. Built-in bias logic with adjustable MA-based trend detection or slope/momentum view lets you customize signals based on your strategy. Plus, we’ve included a normalized DXY overlay, so you can track USD strength in parallel — perfect for traders working with EUR/USD, GBP/USD, USD/JPY and JPY crosses. 💡 Designed for day traders, scalpers, and smart money traders looking for clean confluence. ✅ Features: Visual color-coded JPY bias (Green = Long / Red = Short) Optional USD (DXY) strength overlay Customizable MA length and bias logic Built-in alerts for bias shifts & momentum flips 🔔 Alert-ready – never miss a reversal. Trade smarter. Cut the noise. Stay on the right side of the move.
Penunjuk Pine Script®
oleh Mara855
LTPI Global Liquidity | JeffreyTimmermansLong-Term Probability Indicator (LTPI) The "Long-Term Probability Indicator (LTPI)" on a generic liquidity ticker is a custom-built analytical tool designed to evaluate market conditions over a long-term horizon, with a strong focus on global liquidity trends. By combining six carefully selected input signals into a single probability score, this indicator helps traders and analysts identify prevailing long-term market states: Bullish, Bearish, or Neutral. Where short-term systems/timeframes react quickly to price fluctuations, LTPI smooths out noise and focuses on the bigger picture, allowing for informed strategic decision-making rather than short-term speculation. Key Features Multi-Input Aggregation: Uses six independent inputs, each based on long-term liquidity and macro-related data, to generate a composite market probability score. Long-Term Focus: Prioritizes medium-to-long-term trends, ignoring smaller fluctuations that often mislead traders in volatile markets. Simplified Market States: Classifies the global market into three primary states: Bullish: Favorable liquidity and conditions for long-term risk-taking. Bearish: Tightening liquidity and conditions that require caution. Neutral: Transitional phases or uncertain conditions. Background Coloring: Visual cues on the chart help identify which regime is active at a glance. Global Liquidity Perspective: Designed for use on a generic liquidity ticker, based on M2 money supply, to track macroeconomic liquidity flows and risk appetite. Dashboard Display: A compact on-screen table summarizes all six inputs, their states, and the resulting LTPI score. Dynamic Alerts: Real-time alerts signal when the LTPI shifts from one regime to another. Inputs & Settings LTPI Inputs: Input Sources (6): Each input is a carefully chosen trend following indicator. Weighting: Each input contributes equally to the final score. Score Calculation: Bullish = +1 Bearish = -1 Neutral = 0 Color Settings: Strong Bullish: Bright Green Weak Bullish: Light Green Neutral: Gray/Orange Weak Bearish: Light Red Strong Bearish: Bright Red (Colors can be customized.) Calculation Process Collect Data: Six long-term inputs are evaluated at each bar. Scoring: Each input’s state contributes +1 (bullish), -1 (bearish), or around 0 (neutral). Aggregate Probability: The LTPI Score is calculated as the sum of all six scores divided by 6, resulting in a value between -1 and +1. Market Classification: Score > 0.1: Bullish regime Score < -0.1: Bearish regime -0.1 ≤ Score ≤ 0.1: Neutral Background Coloring: Background colors are applied to highlight the current regime. How to Use LTPI Strategic Positioning: Bullish: Favor holding or adding to long-term positions. Bearish: Reduce risk, protect capital. Neutral: Wait for confirmation before making significant moves. Confirmation Tool: LTPI works best when combined with shorter-term indicators like MTPI or trend-following tools to confirm alignment across multiple timeframes. Dynamic Alerts: Bullish Regime Entry: When the LTPI Score crosses above 0.1. Bearish Regime Entry: When the LTPI Score crosses below -0.1. Neutral Zone: When the score moves back between -0.1 and 0.1. These alerts help identify significant macro-driven shifts in market conditions. Conclusion The Long-Term Probability Indicator (LTPI) is an advanced, liquidity-focused tool for identifying macro-driven market phases. By consolidating six inputs into a single probability score and presenting the results visually, LTPI helps long-term investors and analysts stay aligned with global liquidity trends and avoid being distracted by short-term volatility.
Penunjuk Pine Script®
oleh JeffreyTimmermans
Rishabh Intraday Options Indicator 📌 Overview
 This invite-only indicator is tailored for intraday options trading in major Indian indices — NIFTY, BANKNIFTY, CNXFINANCE, and NIFTY_MID_SELECT .
 It identifies high-probability trading opportunities based on price deviations from the daily Open, High, and Low levels .
The strategy is strictly designed for same-day, BUY-only option entries , offering structured targets , risk-managed stop-loss , and visual clarity for actionable decision-making. Option expiry levels are manually updated before each expiry (weekly for NIFTY, monthly for others). Built-in safety filters automatically block trades during extreme volatility or when the spot price input is significantly off-range for the Specific Day . ⚙️ Key Features 📈 Highlights BUY-side opportunities only 🎯 Displays up to five dynamic target levels 🔒 Calculates stop-loss based on recent swing points 📊 Tracks price deviation from key levels to generate trade signals 🔍 Analyzes Spot and Option charts to provide signals on the Options symbol 🚨 Triggers alerts and shows labels when conditions are met ✏️ Customizable label sizes for enhanced readability ⏱️ Designed specifically for the 1-minute timeframe for maximum accuracy 📈 How to Use Open a 1-minute chart of any supported symbol:
 NIFTY BANKNIFTY CNXFINANCE
 NIFTY_MID_SELECT Manually input the day’s open price in the script settings.
  (An error message will show the correct value if input is incorrect — refer to Visual Guide #4) Monitor price deviation around the day’s High and Low .
 Trade signals are more reliable during pullbacks . 📌 Call entries are displayed above the bar (near the day’s High)
 📌 Put entries are shown below the bar (near the day’s Low) 💡 Recommended: Book 50% profits at Target 1 Manage remaining quantity with extended targets 📉 Risk Management System Stop-Loss : Recent minor swing low for Calls and Puts Target Levels (based on option premium movement): 🎯 Target 1: 1× stop-loss value
 🎯 Target 2: 2× stop-loss value
 🎯 Target 3: 3× stop-loss value
 🎯 Target 4: 4× stop-loss value
 🎯 Target 5: 5× stop-loss value 🖼️ Visual Guide #1.Nifty_Day_High_Low – Highlights intraday high/low levels #2.Invalid Timeframe Error – Shown if not on a 1-minute chart
 ➡️ Fix: Switch to 1-minute timeframe #3.Invalid Symbol Error – Appears if the symbol is not one of the four supported indices
  ➡️ Fix: Use NIFTY, BANKNIFTY, CNXFINANCE, or NIFTY_MID_SELECT #4.Invalid Open Price – Shown when open input doesn't match actual open
  ➡️ Fix: Enter the open price shown in the error label into input settings #5.Expired Option Error – Appears when the script detects that the configured expiry date has passed ➡️ Fix: Contact the script authors to get the latest version with updated expiry settings #6.Nifty_Put_Buy Entry – Displays:
 Option Type
 = PE Strike Price
 = 56300 Entry Price = 706.35 Stop-Loss = 672.00 All Target Levels
 Expiry = 28-08-2025 Timestamp = 10:45:00 am #7.Nifty_Call_Buy Entry – Same details as above for Call setups Option Type
 = CE Strike Price
 = 57000 Entry Price = 1412.05 Stop-Loss = 1394.70 All Target Levels
 Expiry = 28-08-2025 Timestamp = 9:41:00 am ⚠️ Important Notes ⏱️ Works only on 1-minute timeframe ✅ Compatible only with NIFTY, BANKNIFTY, CNXFINANCE, and NIFTY_MID_SELECT ✍️ Manual input of the day’s open is mandatory 🚫 No repainting – once confirmed, levels stay fixed 🔒 Invite-only access maintains tool integrity and quality usage 📅 Expiry Strike Management: Expiry dates are updated manually by the author (weekly for NIFTY, monthly for others). The latest update timestamp is shown at the top of the Input-Tab of Indicator Panel. ✋ If market conditions are extremely volatile, the script may display: “Price is too volatile today. Avoid trading under such conditions. Please check back tomorrow.” 📊 If the manually entered spot price is too far from the current range, the script may display: “Spot price is significantly deviated from expected levels. Trading is not advised at the moment. See you tomorrow.” 🔶 CONCLUSION & ACCESS This indicator is designed to provide a structured and disciplined approach to intraday options trading, with clear targets and defined risk management. 👉 For details on how to request access, please see the Author’s Instructions section below. 📢 Disclaimer This script is intended solely for educational and informational purposes . It does not provide financial or investment advice, nor should it be interpreted as a recommendation to buy, sell, or trade any securities or derivatives. We are not SEBI-registered advisors , and the strategies shown are not personalized guidance . Past performance or backtested results are not indicative of future outcomes and should not be relied upon for live trading without thorough evaluation. Trading in financial markets — especially options — involves significant risk . Both profits and losses are inherent to the trading process. 📎 We recommend practicing with paper trading for at least one month to understand the strategy’s behavior in live markets.
Penunjuk Pine Script®
oleh Rishabh_Indicator
Trend Regime Bias v1.0Trend Regime Bias is a visual trading overlay that helps you instantly identify the current market environment so you can apply the right strategy at the right time. It highlights four distinct phases of market behavior using subtle background color cues and a floating strategy label: 🟢 Weak Trend (Reversal Mode): Favor reversal setups like traps, divergences, and fades. 💚 Growing Strength (Watch Mode): Trend may be forming — stay patient and alert. 🔵 Strong Trend (Trend Mode): Use trend-following strategies like pullbacks or breakouts. 🔷 Weakening Trend (Exhaustion Mode): Trend is losing strength — tighten stops or consider fading extremes. This tool is ideal for day traders and swing traders who switch between mean reversion and trend continuation setups. By visually identifying the strength and phase of the trend, you avoid trading against the current regime and reduce emotional or impulsive decisions. Use it as a bias filter, entry confirmation, or a "do-not-trade" warning system depending on your trading style. No inputs or settings require adjustment unless you prefer to customize the zone thresholds, background colors, or ADX timeframe.
Penunjuk Pine Script®
oleh jarhed7237
ALFA MM MULTİTIME FRAME ( BY BERKUSA)This indicator is a version of the MM indicator prepared for multi-time frame. It was prepared by Berkusa. mm indicator is an ATR-based indicator. The bands formed by the ATR value and the Fibo numbers can be used as trailing stops to follow the trend. It also attempts to find target points experimentally using an ATR-based calculation. You can use the indicator for trend tracking, as a trailing stop, or to determine trade entry areas by combining price action information.
Penunjuk Pine Script®
oleh AlfaTradeClub
1
ICT Liquidity Pools SSL BSLParent Swings - ICT Liquidity Pools (BSL & SSL) This indicator is designed to cut through the noise of the market and identify truly significant swing points. Instead of marking every minor high and low, it uses the powerful logic of ICT (Inner Circle Trader) breaker patterns to validate and draw only the "Parent Swings" that matter. These are the key liquidity pools that often act as the market's next target. The Concept: Price Moves from Pool to Pool A core concept taught by ICT is that price doesn't move randomly; it moves with purpose. The market is engineered to move from one pool of liquidity to the next. Buy Side Liquidity (BSL): This is a pool of stop-loss orders resting just above a significant swing high. The market is often drawn upwards to "sweep" this liquidity. Sell Side Liquidity (SSL): This is a pool of stop-loss orders resting just below a significant swing low. The market is often drawn downwards to sweep this liquidity. This indicator identifies these key BSL and SSL levels after they have been confirmed by a shift in market structure, giving you a clear map of potential targets. How It Works The indicator doesn't just look for any swing high or low. It waits for a specific sequence of events to confirm that a swing is a "Parent Swing" and a valid liquidity pool: Liquidity Sweep: First, it looks for a classic liquidity raid. For a significant high (BSL), it needs to see a swing high get taken out by a higher high. For a significant low (SSL), it needs to see a swing low get taken out by a lower low. Market Structure Shift (MSS): After the liquidity sweep, the indicator waits for confirmation that the market's intention has changed. This happens when price breaks aggressively in the opposite direction, creating a breaker block pattern. Confirmation: Only when both the liquidity sweep and the market structure shift are confirmed does the indicator draw the line, marking the swing as a valid BSL or SSL level. How to Use This Indicator The primary use for this indicator is to identify targets. Once a BSL (red line) or SSL (green line) is established, you can anticipate that the market will eventually make a run for that level. If you are in a long position, the next BSL line above you can serve as a logical take-profit target. If you are in a short position, the next SSL line below you can serve as a logical take-profit target. The labels (BSL/SSL) will always stay with the current price action for active levels, making it easy to see your targets at a glance. Settings Pivot Lookback: Controls the sensitivity of the swing detection. A higher number will find larger, more significant liquidity pools. Invalidation Threshold (Crossings): This is a key feature. It sets how many times the price must cross through a liquidity level before it's considered "used up" or invalidated. Once invalidated, the line will dim and the label will disappear, keeping your chart clean. Disclaimer: This is a tool for technical analysis and should not be considered financial advice. Always use proper risk management and integrate this indicator with your own trading strategy.
Penunjuk Pine Script®
oleh DropkingICT