Mulakan

Statistics

Alpha Trend Strength Pro🔥 What You’ll See on the Chart ✅ A floating label appears near the most recent candle. ✅ Label shows: 🔥 Trend direction: Uptrend / Downtrend / Neutral / Near VWAP 💪 Trend strength: Strong / Moderate / Weak / Range 📈 EMA alignment 🎯 RSI momentum state 💥 MACD crossover 📊 Volatility condition (Expanding / Contracting) 🔵 VWAP proximity if enabled ✅ The chart background turns: Green for Uptrend Red for Downtrend Neutral/Gray if in range (no background color) ⚙️ Customize Settings Click the gear icon ⚙️ next to the script’s name on your chart. Change things like: Show/hide background color Toggle VWAP-based filtering Adjust RSI, MACD, Bollinger parameters
Penunjuk Pine Script®
oleh Josh-PT
Pristine Fundamental AnalysisThe Pristine Fundamental Analysis indicator enables users to perform comprehensive fundamental stock analysis in a fraction of the time! 🏆 For swing/position traders, fundamental analysis is essential—it informs stock selection and strengthens conviction, enabling traders to stay in positions long enough to capture larger moves. Since every ticker represents both a business and a tradable asset, fundamental analysis perfectly complements technical analysis. 💠 Fundamental Analysis Insights - Weekly Timeframe EPS & sales trends, margins & ratios, and valuation metrics are displayed on the weekly timeframe for in-depth analysis outside market hours. 💠 Fundamental Analysis Insights - Daily Timeframe A slimmed down version of the fundamental analysis table is displayed on the daily timeframe to provide users quick insights into the fundamentals, while allowing them to focus on technical analysis during market hours. 💠 Fundamental Analysis Metrics to Deepen Understanding of Companies! EARNINGS & SALES TRENDS Why does it matter? Company stock prices tend to track the growth trajectory of earnings and sales over time. By analyzing fundamentals, users can gain an edge that pure technical traders do not have. This edge is most pronounced during big market dislocations when investors are forced to liquidate their top holdings. ▪ EPS - Measures year-over-year growth, quarter-over-quarter growth, and the surprise between actuals & analyst estimates ▪ Sales Analysis - Measures year-over-year growth, quarter-over-quarter growth, and the surprise between actuals & analyst estimates MARGIN ANALYSIS Why does it matter? Revenue is the lifeblood of a company. Margins measure company profits and expenditures as a percentage of revenue ▪ G% - Gross margin measures the percentage of revenue a company retained after subtracting the direct costs of producing the goods or services it sells, known as the cost of goods sold (COGS) ▪ CFO% - Measures the percentage of a company's revenue that was converted to Cash flow from operations (CFO). CFO, also known as operating cash flow (OCF), is the amount of cash a company generated from its core business activities over a specific period. It reflects the actual cash inflows and outflows resulting from the company’s main operations, such as selling products or providing services, and excludes cash flows from investing and financing activities. ▪ Net% - Net margin measures the percentage of revenue that was converted to net profit ▪ ROE% - Return on Equity measures how much net income a company produced for each dollar of equity invested by shareholders ▪ R&D% - R&D margin measures how much the company invested in research & development as a percentage of revenue ▪ D/E - The Debt to Equity ratio measures how much of a company’s financing comes from creditors (debt) versus owners (equity), providing insight into the company’s financial leverage and risk profile. The indicator tracks changes in the ratio over time VALUATION METRICS Why does it matter? Valuation metrics provide users an understanding of the potential risk if the fundamental trajectory of the company, or the broad market, changes! The more highly valued a company is, the more downside risk is present if conditions worsen, and vice versa. ▪ PE - The Price-to-Earnings ratio measures a company’s current share price relative to its trailing twelve-month(TTM) earnings per share (EPS). It helps investors assess how much they are paying for each dollar of a company’s earnings and is often used to gauge whether a stock is overvalued, undervalued, or fairly valued compared to its peers or historical averages. ▪ PS - The Price-to-Sales ratio measures a company’s current share price relative to its trailing twelve-month(TTM) sales per share. It helps investors assess how much they are paying for each dollar of a company’s sales and is often used to gauge whether a stock is overvalued, undervalued, or fairly valued compared to its peers or historical averages. ▪ BB% - Buyback yield measures the annual percentage of stock repurchased by the company. Share buybacks reduce total share count, which directly increases earnings per share! 💠 What Makes This Indicator Unique There are many fundamental dashboards, however, what makes this indicator unique is customized metrics that were used to achieve back-to-back top finishes in the US Investing Championship. The main purpose of the indicator is to highlight companies with a history of EPS and sales acceleration , rather than focusing on the values in isolation, or even the growth of the values. Our goal is further evolution of the metrics and color signals based on continued backtesting and analysis of real-time market data. ▪ Custom Margin Metrics : Several of the margin metrics are unique and offer significant value beyond EPS and sales data alone. For example, there are plenty of companies that have negative EPS due to non-cash expenses and/or investments they are making into their business, but that does not by itself mean that the companies are not worthy of an investment. Roblox (RBLX) is a great example. The company has consistently negative EPS, but the CFO% margin is positive! That means the core business throws off significant amounts of cash, and a large amount of it is being allocated to aggressive R&D spend, which is captured by the R&D% metric. This could propel the fundamentals of the business well into the future. ▪ Color Signals Based on Thresholds : The background colors of metrics are based on historical analysis and apply relevant thresholds to help users identify companies with strong fundamentals ▪ Comprehensive Inline Documentation : All headers cells offer detailed information about the relevant calculations/metrics as well as in-depth information on color coding and how to interpret each value. This small, yet important detail, allows users to quickly identify accelerating fundamental trends 💠 Practical Use Case Examples Analyzing fundamentals to trade a Power Earnings Gap setup 👇 In August 2023, APP reported a +467% YoY increase in EPS, 181% higher than Wall Street estimates! This sparked a generational trading opportunity.👇 After the first earnings report with stellar earnings growth, APP rallied > 1000% in 2 years, following the trajectory of sales and EPS.👇 💠 Settings and Preferences 💠 Tips and Tricks Fundamentals drive price action during periods of fundamental transition ▪ Pre-revenue companies that are anticipated to start earning revenue ▪ Revenue-generating companies that are anticipated to flip from negative to positive EPS ▪ Revenue-generating companies that are anticipated to flip from negative cash flow to positive cash flow ▪ Major accelerations or decelerations in sales or EPS
Penunjuk Pine Script®
oleh pristinecap
Pristine Market Analysis DashboardThe Pristine Market Analysis indicator enables users to perform comprehensive top-down analysis of global risk assets in a fraction of the time! 🏆 Top-down analysis is important because the overall market environment has a significant impact on the success of individual trading setups. 💠 Market Analysis Insights ▪ Identify if money is flowing into equities, or equity alternatives like bonds,gold,and bitcoin ▪ Perform relative strength analysis of US vs International equities ▪ Identify rotation into risk-on or risk-off assets to determine overall market health ▪ Detect leading sectors to enable targeted stock screening, or to trade the ETFs themselves 💠 Market Analysis Metrics to Improve Your Situational Awareness! ▪ %Δ - 1-day percent change ▪ ATR Δ - 1-day percent change/ ATR % ▪ DCR - Daily closing range ▪ 52WR - Measures where a security is trading in relation to it’s 52wk high and 52wk low ▪ MAx - Measures how extended price is from a key moving average of your choosing in ATR% multiple terms ▪ ST ↑↓ (Short- Term Stage) - Measures the short-term trend using key moving averages of your choosing ▪ LT ↑↓ (Long-Term Stage) - Measures the long-term trend using key moving averages of your choosing The indicator automatically sorts from greatest to least based on the %Δ column 👇 What is ATR? The average true range (ATR) is a technical analysis indicator introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems that measures security volatility by decomposing the entire range of an asset price for a time period. Why do we use it? Because converting price moves into ATR terms better contextualizes them relative to the asset's historical volatility! Example: If the ATR is $2.50, it means the average price range each day is roughly $2.50. We use an ATR length of 20 days in our calculation, and convert the 20D ATR into a 20D ATR %. The formula for ATR % is as follows: ATR % = (ATR/Current Price) * 100 Why does MAx matter? MAx measures the number of ATR % multiples a security is trading away from a key moving average.The default moving average length is 50 days. MAx can be used to identify mean reversion trades . When a security trends strongly in one direction and moves significantly above or below its moving average, the price often tends to revert back toward the average. Example, if the ATR % of the security is 5%, and the stock is trading 50% higher than the 50D SMA, the MAx would be 50%/5% = 10. A user might opt to take a countertrend trade when the MAx exceeds a predetermined level. The MAx can also be useful when trading breakouts above or below the key moving average of your choosing. The lower the MAx, the tighter stop loss one can take if trading against that level. Identifying an extreme price extension using MAx 👇 Price mean reverted immediately following the high MAx 👇 Why does 52WR matter? Historical analysis conducted by market legends like William O’Neill and Mark Minervini indicates that stocks trading at or near 52wk highs tend to outperform over time, and vice versa for stocks trading close to 52wk lows. Avoiding stocks trading with a low 52WR metric can help traders avoid buying stocks in downtrends. Likewise, focusing on stocks trading with a high 52WR provides a technical edge. 💠 Stage Analysis Guide Short-term and long-term stage analysis data is provided in the two rightmost columns of each table. The columns are labeled ST ⇅ and LT ⇅. Why is Stage Analysis important? Popularized by Stan Weinstein, stage analysis is a trend following system that classifies assets into four stages based on price-trend analysis. The problem? The interpretation of stage analysis is highly subjective. Based on the methodology provided in Stan Weinstein’s books, five different traders could look at the same chart, and come to different conclusions as to which stage the security is in! We solved for this by creating our own methodology for classifying stocks into stages using moving averages. This indicator automates that analysis, and produces short-term and long-term trend signals based on user-defined key moving averages. You won’t find this in any textbook or course, because it’s completely unique to the Pristine trading methodology. Our indicator calculates a short-term trend signal using two moving averages; a fast moving average, and a slow moving average. We default to the 10D EMA as the fast moving average & the 20D SMA as the slow moving average. A trend signal is generated based on where price is currently trading with respect to the fast moving average and the slow moving average. We use the signal to guide shorter-term swing trades. In general, we want to take long trades in stocks with strengthening trends, and short trades in stocks with weakening trends. The user is free to change the moving averages based on their own short-term timeframe. Every trader is unique! The same process is applied to calculate the long-term trend signal. We default to the 50D SMA as our fast moving average, and the 200D SMA as the slow moving average for the LT ⇅ signal calculation, but users can change these to fit their own unique trading style. What is Stage 1? Stage 1 identifies stocks that transitioned from downtrends, into bottoming bases. Stage 1A - Bottom Signal: Marks the first day a security shows initial signs of recovery after a downtrend, with early indications of strength emerging.👇 Stage 1B - Bottoming Process: Identifies the ongoing phase where the security continues to stabilize and strengthen, confirming the base-building process after the initial signal.👇 Stage 1R - Failed Uptrend: Detects when a security that had entered an early uptrend loses momentum and slips back into a bottoming phase, signaling a failed breakout.👇 What is Stage 2? Stage 2 identifies stocks that transitioned from bottoming bases to uptrends. Stage 2A - Breakout: Marks the first day a security decisively breaks out, signaling the start of a new uptrend.👇 Stage 2B - Uptrend: Identifies when the security continues to trade in an established uptrend following the initial breakout, with momentum building but not yet showing full strength.👇 Stage 2C - Strong Uptrend: Detects when the uptrend strengthens further, with the security displaying clear signs of accelerating strength and buying pressure.👇 Stage 2R - Failed Breakdown: Detects when a security that had recently entered a corrective phase reverses course and reclaims its upward trajectory, moving back into an uptrend.👇 What is Stage 3? Stage 3 identifies stocks that transitioned from uptrends to topping bases. Stage 3A - Top Signal: Marks the first day a security shows initial signs of weakness after an uptrend, indicating the start of a potential topping phase.👇 Stage 3B - Topping Process: Identifies the period following the initial signal when the security continues to show signs of distribution and potential trend exhaustion.👇 Stage 3R - Failed Breakdown: Detects when a security that had entered a deeper corrective phase reverses upward, recovering enough strength to re-enter the topping phase.👇 What is Stage 4? Stage 4 identifies stocks that transitioned from topping bases to downtrends. Stage 4A - Breakdown: Marks the first day a security decisively breaks below key support levels, signaling the start of a new downward trend.👇 Stage 4B - Downtrend: Identifies when the security continues to trend lower following the initial breakdown, with sustained bearish momentum, though not yet fully entrenched.👇 Stage 4C - Strong Downtrend: Detects when the downtrend intensifies, with the security displaying clear signs of accelerating weakness and selling pressure.👇 Stage 4R - Failed Bottom: Detects when a security that had begun to show early signs of bottoming reverses course and resumes its decline, falling back into a downtrend.👇 Stage N/A - Recent IPO: Applies to stocks that recently IPO’ed and don’t have enough data to calculate all necessary moving averages. 💠 Historical Analysis Users can leverage the Replay feature in TradingView to perform historical analysis and see how the overall configuration of global risk assets looked at key turning points in the market! To perform historical analysis: 1) Show the chart if previously hidden (see Tips and Tricks). 2) Click the Replay button on the toolbar at the top of the chart. 3) Use the slider on the chart to select the bar to begin the analysis. 💠 Comprehensive Tooltips Hover over header labels to get detailed information about the data and relevant calculations. For stage analysis (Short Term and Long Term), the tooltips provide a complete key of all the relevant stages. 💠 Settings and Preferences ▪ Customize this script by setting preferred colors and thresholds. ▪ There are two tables that can be customized, one on each side of the chart. For each table you can configure the location and show/hide each table. You can also specify colors for header and row data, including your preferred text size. ▪ You can customize the moving averages that are used in stage analysis. Specify your preferred fast and slow moving averages for both short-term and long-term analysis. ▪ For the ATR extension, the default moving average is 50D SMA. You can choose the length and type (SMA or EMA) to align with your trading preferences. 💠 Tips and Tricks ▪ Hide/Show Chart: To provide a clean backdrop for the tables, it can be helpful to hide the chart. Hover your mouse over the symbol information in the upper right. Select the "..." option and choose "Hide" option. Choose the option "Show" to see the chart details if hidden. ▪ Futures Outside Regular Trading Hours (RTH): In order for the data in the “%Δ” column of the the “Equity Alternatives” table to populate correctly when outside of regular trading hours, you must have your chart displaying a futures contract. Examples: ES, NQ, RTY, GC.
Penunjuk Pine Script®
oleh pristinecap
Hidden Markov ModelDescription This model uses a Hidden Markov Model to detect potential tops and bottoms. It is designed to probabilistically identify market regime changes and predict potential reversal point using a forward algorithm to calculate the probability of a state. State 0: (Normal Trading): Market continuation patterns, balanced buying/selling State 1: (Top Formation): Exhaustion patterns at price highs State 2: (Bottom Formation): Capitulation patterns at price lows Background: The HMM assumes that market behavior follows hidden states that aren't directly observable, but can be inferred from observable market data (emissions). The model uses a (somewhat simplified) Bayesian inference to estimate these probabilities. How to use 1) Identify the trend (you can also use it counter-trend) 2) For longing, look for a green arrow. The probability values should be red. For shorting, look for a red arrow. The probability values should be green 3) For added confluence, look for high probability values
Penunjuk Pine Script®
oleh stormeta
1
xetra//@version=5 indicator("First Candle Range", overlay=true) // Налаштування сесії session = input.session("0930-1030", title="Сесія") // Визначити, чи поточна свічка — перша у сесії is_new_session = ta.change(time(session)) // Змінні для збереження значень першої свічки var float first_high = na var float first_low = na var int first_index = na // Коли настає нова сесія — зберігаємо high та low першої свічки if is_new_session first_high := high first_low := low first_index := bar_index // Побудова ліній if not na(first_index) line.new(first_index, first_high, bar_index, first_high, color=color.green, width=1, extend=extend.right) line.new(first_index, first_low, bar_index, first_low, color=color.red, width=1, extend=extend.right) // (Опційно) Заливка області між high та low bgcolor(time(session) and bar_index == first_index ? color.new(color.orange, 85) : na)
Penunjuk Pine Script®
oleh hnurewnik
FeraTrading Pattern Recognition Engine🧠 Overview: The FeraTrading Pattern Recognition Engine (PRE) is a lightweight, adaptive model that transforms raw chart data into pattern signatures and tracks their performance in real time. Instead of relying on fixed formulas or lagging indicators, it learns from what has worked before on your chart—highlighting bull and bear patterns that have a track record of hitting a profit target within a specified number of bars. This system is ideal for traders who want evolving entries that reflect live market behavior without repainting or hardcoding. ⚙️ How It Works: 🔹 Pattern Encoding: The script monitors recent price action and builds a unique pattern ID using selected features: Up to 10 feature toggles (detailed below) Each feature is converted into a categorical value The combination of features over a lookback window defines the pattern signature Bullish and bearish patterns are tracked separately. 🔹 Pattern Evaluation & Learning: As each pattern appears: A unique ID is generated. The script checks if price reaches the required % move within N bars. If successful, it logs the pattern as a win. Accuracy and sample size are updated. Only patterns with 10+ past samples are eligible for live signals. 🔹 Signal Generation: When today's pattern matches one of the top historically successful bull or bear patterns: 🟢 Green Triangle (below bar) = Bullish pattern match 🔴 Red Triangle (above bar) = Bearish pattern match Signals are confirmed one bar after pattern completion to avoid repainting. 🧶 Feature Toggles: Each of the following can be turned on/off to customize the pattern logic: Candle Type: Bullish, Bearish, or Doji classification. RSI > 50: Adds momentum context. Higher High / Lower Low: Tracks continuation or breakout structure. Volume Spike: Flags volume > 1.5x 20-bar average. Relative Range: True if bar range > 5-bar average. Body-to-Range > 60%: Filters for full-bodied candles. Wick Dominance: Flags wicky/exhaustion candles. EMA Alignment: Checks if price is in directional alignment with fast/slow EMAs. Gap From Prior Close: Flags price gaps from previous close. RSI Slope: Captures trend acceleration or deceleration in RSI. Tip: 2–3 features = broader learning. 5+ features = more selective precision. 🤷 Inputs & Customization: Target Move %: How far price must move to qualify as a win. Lookback Bars: How far back to check for pattern definition. Bars Forward: How much time the pattern has to hit target. Signal Toggles: Enable/disable bullish and bearish signals. 🎯 What Makes It Original: Learns from live data—no static formulas or preset patterns. Signals only appear if historical accuracy + sample size threshold is met. One-bar delayed confirmation = no repainting. Configurable features allow full user control of complexity. Works on any asset, any timeframe. ✅ How to Use: Add to any intraday chart (1m–30m ideal). Start with 2–3 features toggled on. Let the script learn as data comes in. Watch for triangle signals (green = bullish, red = bearish). Combine with other tools for added confluence. Over time, the engine becomes more selective and accurate. 💎 Why It’s Worth Paying For The PRE isn’t a repackaged signal script—it’s a real-time learning engine. It provides: A dynamic model that evolves with your chart Customizable pattern encoding across 10 behavioral features Verified, statistically accurate signals Confirmed, non-repainting outputs Applicability to any asset or market condition This isn't theoretical—it's performance-driven signal logic trained by your own chart. ✅ Compliance & Originality This tool was developed from scratch by FeraTrading using fully original logic. No open-source logic or reused libraries were used. All detection methods, signal logic, and pattern encodings are unique and built with compliance in mind. This is absolutely an original script, one we think may be unique to TradingView completely and never seen before. ⚠️ Risk Disclaimer & Access Policy This script is a historical pattern tracker—not a forecasting engine. No prediction of future price behavior is implied or guaranteed. Use with proper risk management and trade discretion. To protect the core pattern engine, this script is invite-only and closed-source. Opening the source would allow cloning of its real-time pattern encoding and filtering logic. Restricting access ensures: Proper use by qualified traders Prevention of misuse or unauthorized distribution Protection of the tool’s proprietary logic and long-term value The PRE is designed to be part of a professional workflow, and its access model reflects that goal.
Penunjuk Pine Script®
oleh FeraTrading
Hour-StatsTHIS IS FOR NQ ONLY. The figures from this indicator are drawn from fifteen years of historical price action. Although we strive for accuracy, errors may occur—these figures shouldn’t be the sole basis for any trading decision. Past performance is not indicative of future results. Trade at your own risk. Trade at Your Own Risk: This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Always do your own analysis and manage your risk appropriately when trading. Based on NQStats Hour Stats. Find more information here: nqstats.com The Hour-Stats indicator provides a comprehensive, at-a-glance view of key hourly price levels and sweep-based statistics directly on your chart. It’s designed to help you: Divide the session into 20-minute buckets with vertical lines and mark each bucket’s center. Track the current hour’s range (high/low) in real time. Display the previous hour’s high (PHH), mid (PHM), low (PHL), and the current hour’s open as horizontal lines and labels at the top of the next hour. Overlay “formation percentages” for each 20-minute bucket—showing how often price in past history fell into each low-, mid-, or high-bucket for that hour. Detect the first “sweep” of the prior hour’s high or low, then annotate the open-return, mid-return, and opposite-side return percentages (“sweep-stats”) a few bars after the hour. Key Inputs Vertical Line Color/Style/Width: Customize the bucket dividers. Prev Hour High/Mid/Low/Open Colors & Styles: Tune the horizontal lines and labels. Formation Label Colors & Sizes: Adjust the percentage callouts. Sweep-Stat Text Color/Size & Offset: Control where and how the sweep statistics are plotted. How to Use Load the script on an intraday chart (minutes-based). Watch the 20-minute buckets form within each hour—ideal for monitoring early vs. late-hour behavior. Observe the PHH/PHM/PHL/Open markers at the top of each hour to gauge the prior hour’s range and current opening level. Note the sweep-stats when price first breaks the prior hour’s boundary—use these percentages to inform your entries, exits, or risk management. This is based on 15 years of price action. These stats may be wrong and shouldn't be relied on for your trade decisions. Use at your own risk.
Penunjuk Pine Script®
oleh jheick4094
Open Interest Footprint IQ [TradingIQ]Hello Traders! Th e Open Interest Footprint IQ indicator is an advanced visualization tool designed for cryptocurrency markets. It provides a granular, real-time breakdown of open interest changes across different price levels, allowing traders to see how aggressive market participation is distributed within each bar. Unlike standard footprint charts that rely solely on volume, this indicator offers unique insights by focusing on the interaction between price action and changes in open interest (OI) — a leading metric often used to infer trader intent and positioning. How it works The Open Interest Footprint IQ processes lower timeframe price and open interest data to build a footprint-style chart that shows how traders are positioning themselves within each candle. Here’s a breakdown of the process: 1. Granular OI & Price Sampling The script retrieves lower-timeframe data (1-minute, 1-second, or 1-tick, based on your setting). For each candle, it captures: High and low prices Price change direction Change in open interest (OI) 2. Classifying Trader Behavior For each lower-timeframe segment, the indicator determines the type of positioning occurring based on price movement and OI change: If price is moving up and open interest is increasing, it suggests that long positions are being opened. This is considered a "Longs Opening" event, labeled as UU (Up/Up). If price is moving up but open interest is decreasing, it indicates that short positions are being closed. This is referred to as UD (Up/Down), or "Shorts Closing." If price is moving down and open interest is increasing, it signals that short positions are being opened. This is known as DU (Down/Up), or "Shorts Opening." If price is moving down while open interest is also decreasing, it means that long positions are being closed. This is labeled as DD (Down/Down), or "Longs Closing." These are stored in separate arrays and displayed at specific price levels. It is particularly useful for identifying: Where longs or shorts are opening/closing positions Stacked imbalances (indicative of potential absorption or exhaustion) Value area zones and POC (Point of Control) based on OI, not volume This footprint runs on your choice of sub-bar granularity and is ideal for high-frequency trading, scalping, and entries based on order flow dynamics. Key Features Footprint Visualization At each price level within a candle: Long/short opening and closing behavior is broken down. Delta (net open interest change) is displayed both numerically and color-coded. Optional gradient coloring shows intensity and type of flow (longs/shorts opened/closed). Cumulative or per-bar reset modes allow you to track OI evolution over time. The image above explains the information that each Footprint box shows across a candlestick! Each footprint box shows: OI Delta OI Delta % Longs Opened (LO) Longs Closed (LC) Shorts Opened (SO) Shorts Closed (SC) The image above explains the color-coding feature of the indicator. Boxes are color coded to show which position action dominated at the price area. For this example: Green boxes = Long positions being opened dominated Purple boxes = Long positions being closed dominated Red boxes = Short positions being opened dominated Yellow boxes = Short positions being closed dominated All colors are customizable. Additionally, for traders who are only interested in whether OI increased/decreased, a "two-color" option is available in the settings. For the two-color option, footprint boxes can be one of two colors. Showing whether OI increased or decreased at the level. Cumulative Levels Open Interest Footprint IQ contains a "Cumulative Levels" feature that tracks/stores open interest change at tick levels over time, rather than resetting per bar. With the "Cumulative Levels" feature enabled, traders can see open interest changes persist across all candlesticks. This feature is useful for determining whether longs opening, longs closing, shorts opening, or shorts closing are dominating at particular price areas over time rather than on a single bar. A useful feature to see if shorts/longs are favoring certain price throughout the day, week, month, etc. Input Settings Explained Granularity (Dropdown: Granularity) Options: 1-Minute, 1-Second, 1-Tick Determines how finely the script samples the lower timeframe data to construct the footprint. For precision: 1-Tick = Highest accuracy, but more resource-intensive. 1-Second/1-Minute = Suitable for broader or more zoomed-out analysis. Tick Level Distance (Tick Level Distance (0 = Auto)) Defines the vertical spacing between levels in the footprint chart. If 0, the script uses an automatic calculation based on ATR to adapt to volatility. Set a manual value (e.g., 5) to control the height granularity of each level in ticks. Cumulative Levels (Toggle) If enabled, the footprint builds cumulatively over time, rather than resetting per candle. Use case: Visualize ongoing buildup of OI activity across a session or day. Cumulative Levels Reset TF (Timeframe) Sets the reset interval for the cumulative view (e.g., reset daily, hourly, etc.) Works only when Cumulative Levels is enabled. Delta Box Display Settings Show Delta Percentage Toggles the display of the percentage change in OI across the footprint level. Helpful to gauge how aggressive positioning is relative to total OI at that level. Show Longs/Shorts (Opened/Closed) Show Longs Opened: Displays OI increase in up candles (price ↑, OI ↑). Show Longs Closed: Displays OI decrease in down candles (price ↓, OI ↓). Show Shorts Opened: OI increase in down candles (price ↓, OI ↑). Show Shorts Closed: OI decrease in up candles (price ↑, OI ↓). These behaviors are color-coded to give traders instant context: Blue-green for longs opening. Purple for longs closing. Red for shorts opening. Yellow for shorts closing. Value Area & POC Value Area % (Value Area %) Controls how much cumulative open interest is used to define the value area. Example: 70% means the smallest range of prices that contains 70% of total OI in that bar will be marked. Helps identify zones of interest, support/resistance, and institutional levels. The image above explains how to identify the VAH/VAL/POC shown by Open Interest Footprint IQ. VAH = Upper 🞂 POC = ● VAL = Lower 🞂 Imbalances Imbalance Percentage Defines the minimum delta % required at a level to be marked as an imbalance. If the net open interest change at a level exceeds this threshold, a visual marker appears. Stacked Imbalance Count If the number of consecutive imbalance levels meets this count, a “Stacked Imbalance” alert will trigger. This can signal aggressive buying or selling pressure, potential breakout zones, or institutional absorption. Color Settings Longs Opened / Closed, Shorts Opened / Closed Customize the color palette for each order flow behavior. These colors appear in the background gradient of the footprint boxes. Up/Down Only Mode Toggle to override all behavior-based colors with a single Up Color and Down Color. Useful if you prefer a simple bull/bear view. Up Color / Down Color If "Up/Down Only" is enabled, these two colors are used to represent all net positive or negative deltas. Special Notes Crypto only: This script works only with crypto tickers on TradingView. For other assets (stocks, futures), a warning message will appear instead. OI data must be available from the exchange (many perpetual pairs support this). If the footprint is too small or invisible, increase your tick level spacing in the settings. Alerts When a stacked imbalance is detected, an alert is fired ("Stacked Imbalance"). This feature is useful for automated systems, bots, or simply staying informed of potential trade setups. And that's all for now! If you have any questions or features you'd like to see feel free to share them in the comments below! Thank you traders!
Penunjuk Pine Script®
oleh Trading-IQ
8
Auto LevelsAutomatically paints open, high, low, and close levels from previous periods. RTH data only in traditional cash markets. Previous periods included are: - Day - Week - Month - Quarter - Year. Customization options allow for: - Enabling/disabling of each type of level for each period - Text size and colors of labels - Colors and styles of lines - Line extension length *Also, there is a close-price ray included. Can be disabled. Creates new levels once they generate, and removes old and outdated levels. The idea is to be transparent about the relevancy of levels and portray them as they generate in time. Full 2-way-ray horizontal lines can appear to give false-reaction data in historical bars from before the level was generated. This can give traders a false sense of importance to a level. Works on any ticker/symbol. Known bugs: ** Open levels distort based on open/closed status in traditional markets. Fix pending. ** Different candle types (Heikin Ashi) distort all open/close level data. Fix pending. ** Line extension doesn't work in closed markets. Fix pending. Message me on twitter for other bug reports.
Penunjuk Pine Script®
oleh taylorbray
Z Score Overlay [BigBeluga]🔵 OVERVIEW A clean and effective Z-score overlay that visually tracks how far price deviates from its moving average. By standardizing price movements, this tool helps traders understand when price is statistically extended or compressed—up to ±4 standard deviations. The built-in scale and real-time bin markers offer immediate context on where price stands in relation to its recent mean. 🔵 CONCEPTS Z Score Calculation:   Z = (Close − SMA) ÷ Standard Deviation   This formula shows how many standard deviations the current price is from its mean. Statistical Extremes:   • Z > +2 or Z < −2 suggests statistically significant deviation.   • Z near 0 implies price is close to its average. Standardization of Price Behavior: Makes it easier to compare volatility and overextension across timeframes and assets. 🔵 FEATURES Colored Z Line: Gradient coloring based on how far price deviates—   • Red = oversold (−4),   • Green = overbought (+4),   • Yellow = neutral (~0). Deviation Scale Bar: A vertical scale from −4 to +4 standard deviations plotted to the right of price. Active Z Score Bin: Highlights the current Z-score bin with a “◀” arrow Context Labels: Clear numeric labels for each Z-level from −4 to +4 along the side. Live Value Display: Shows exact Z-score on the active level. Non-intrusive Overlay: Can be applied directly to price chart without changing scaling behavior. 🔵 HOW TO USE Identify overbought/oversold areas based on +2 / −2 thresholds. Spot potential mean reversion trades when Z returns from extreme levels. Confirm strong trends when price remains consistently outside ±2. Use in multi-timeframe setups to compare strength across contexts. 🔵 CONCLUSION Z Score Overlay transforms raw price action into a normalized statistical view, allowing traders to easily assess deviation strength and mean-reversion potential. The intuitive scale and color-coded display make it ideal for traders seeking objective, volatility-aware entries and exits.
Penunjuk Pine Script®
oleh BigBeluga
6
Volume Average - Multi Timeframe (Spot & Futures)Volume Average - Multi Timeframe (Spot & Futures) tool is developed to help traders in understanding volume average of different pairs in USD terms for multiple timeframes. We as traders always use volume and try to understand peaks in volume. This tool is calculating in 5 different timeframes THE AVERAGE VOLUME in 1 minute for both Spot and Futures pair. Additionally, it calculates the Spot ratio to see if the move on the Futures Pair is supported by Spot volume We can compare the current 1-minute (1m) average to 4 hours (4h) average and see if the move is fresh (1m > 4h) or is an ongoing move with high volume (both 1m and 4h > 1D or 3D volume). Also, we can strategies where 1m volume is 3x bigger than 3D volume which means ‘Market Maker’ is starting to be very active. Settings: By default, Statistics Table and 1 minute & 3 Days volume average lines are shown in the indicator pane. You may add 4 hours, 1 Day and 1 Week charts as well which are optional. In order not to confuse these line charts, labels are provided and in order not to overlap those labels “Offset between labels” setting can be used. The Stats (Statistics) Table can be positioned in different parts of the chart and font size is adjustable. Instead of using volume average line charts you may enable “Show Only Spot Ratio Chart” which is showing the historical spot ratio for the pair. It may help you to see the ups and downs of Spot ratio and try to understand Market Maker and/or Whale involvement In crypto, comparing volume data for significant value is quite challenging. Exchange should have high volume and consistent data between pairs so “Enforce BINANCE volume over current exchange” option is provided. Use of BINANCE volume instead of current exchange is highly recommended as many exchange pairs do not have enough volume to compare different timeframes. Please remove this checkbox if you insist on using the current exchange pair. Also be aware some exchanges use different volume multipliers for different coin pairs like showing volume in millions whereas most exchanges show in thousands, so it is important to use the same exchange for all pairs. I have developed this indicator for my own trading. I prefer to use it in small timeframes even in 3m & 15m, but you may use it in any timeframe. It really helps with my decisions when I have a setup on the price action, I always check volume anomalies as well. Also, when I have two setups and one pair seems to have a lot of volume in classical volume chart, I can compare which pair is getting more “MONEY FLOW” as this tool shows the real volume average in dollars. Hope it helps you as well. This indicator is FREE. You may try, use, share and trade with it. And if you like it and really benefit from it, you may encourage me for my future different ideas with a small donation, but you DO NOT have to 😊 USDT (BSC – BEP20): 0x6de1213767ba65470b4a06f4ed716c1a4b621750
Penunjuk Pine Script®
oleh Trader_Hamdi
Daily Trading Barometer (DTB) with DJIA OverlayThe "Daily Trading Barometer (DTB) with DJIA Overlay" is a custom technical indicator designed to identify intermediate-term overbought and oversold conditions in the stock market, inspired by Edson Gould's original DTB methodology. This indicator combines three key components: A 7-day advance-decline oscillator, a 20-day volume oscillator, and a 28-day DJIA price ratio, normalized into a composite index scaled around 110–135. Values below 110 signal potential oversold conditions, while values above 135 indicate overbought territory, aiding in timing market reversals. The overlay of a normalized DJIA plot allows for visual correlation with the broader market trend. Use this tool to anticipate turning points in oscillating markets, though it’s best combined with other indicators for confirmation. Ideal for traders seeking probabilistic insights into bear or bull market transitions. How to use - If the DTB line (blue) and normalized DJIA (orange) are under the green dashed line, high probability for a long and reversal. Use with the symbol SPX/QQQ Dow Jones Industrial Average - DJIA
Penunjuk Pine Script®
oleh ZoharCho
Gap % Distribution Table (2% Bins)Description This indicator displays a Gap % Distribution Table categorized in 2% bins ranging from `< -20%` to `> +20%`. It calculates the gap between today’s open and the previous day’s close, and groups occurrences into defined bins. The table includes: Gap range, count, and percentage for each bin A total row summarizing all entries Customizable appearance including: Font color, cell background fill (with transparency), and table border color Column headers and full outer border Date filtering using selectable start and end dates Position control for placing the table on the chart area Ideal for analyzing the historical behavior of opening gaps for any instrument.
Penunjuk Pine Script®
oleh AMalayaliTrader
RSI-Adaptive T3 v2.2 raphii7📈 RSI Adaptive T3 Strategy – Smart Risk & Trend System ✅ This strategy combines the adaptive power of the RSI with the smoothness of the T3 moving average to detect high-probability trend reversals, while maintaining strict risk control through a customizable RR ratio. 🔍 How It Works The system relies on a dynamic T3 moving average, whose length automatically adjusts based on the market’s relative strength (RSI). This makes the indicator faster in strong trends and smoother during consolidations. The strategy triggers long or short entries based on: 📊 T3 slope confirmation (uptrend or downtrend) 📉 A pullback to the T3 line ✅ A candle closing in the direction of the trend (bullish for long / bearish for short) 🕒 A time window filter (e.g. 08:00–20:00 Europe/Paris) to focus on active sessions 🎯 Risk & Position Management ✅ Entry as soon as all conditions are met ⛔️ Stop Loss based on the lowest (or highest) of the last X candles + padding 🟩 Take Profit calculated automatically using a custom Risk/Reward (RR) ratio 🧠 Option to enable or disable short positions 🧰 Customizable Parameters 🔧 RSI length and T3 min/max lengths ⚖️ T3 volume factor 🎯 Target RR 🛑 SL lookback period 🕒 Trading hours ⚡️ Enable/disable shorts 🖼️ Built-in Visual Tools 🔷 Colored T3 line (blue = bullish, orange = bearish) 📦 Visual boxes with TP (green/red) and SL (gray) 🔔 Entry signal alerts 🟢/🔴 Entry icons on signal candles 🧪 Backtested and Optimized ✅ Goal Deliver a reliable, educational, and adaptable tool for traders who want to: Clearly visualize entry zones Control risk precisely Follow a trend-based and adaptive structure logic
Penunjuk Pine Script®
oleh raphii7
Order Flow Delta Matrix Pro @MaxMaserati 2.0Order Flow Delta Matrix Pro @MaxMaserati 2.0 Institutional-level order flow analysis This advanced indicator displays institutional order flow data in an easy-to-read time-series matrix, revealing hidden buying and selling pressure that drives price movements. KEY FEATURES 🔥 REAL-TIME DELTA TRACKING - Delta Row: Net buying vs selling pressure per time period - Live Countdown: Shows exact time remaining until next candle close - Extended historical view for pattern recognition CUSTOMIZABLE ROWS (Toggle On/Off) - Max Delta: Highest buying pressure spikes (accumulation zones) - *Min Delta: Lowest selling pressure spikes (distribution zones) - Cumulative Delta: Running total showing institutional bias - Delta/Volume Ratio: Quality of directional flow vs total volume - Session Delta: Net flow since session start - Volume: Raw transaction volume with high-volume highlighting ADVANCED CONTROLS - Time Direction: View oldest→newest OR newest→oldest - 12/24 Hour Format: Choose your preferred time display - Current Time Highlighting: Blue highlight on active time period - Full Color Customization: Adapt to any chart theme - Smart Sensitivity: Low/Normal/High modes for different markets 🎓 HOW TO USE IT 🟢 BULLISH SIGNALS - Positive Delta Spikes: Look for green +500K+ delta values - Rising Cumulative Delta: Upward trending cumulative line = institutional accumulation - High Max Delta: Strong buying pressure at support levels 🔴 BEARISH SIGNALS - Negative Delta Spikes: Look for red -500K+ delta values - Falling Cumulative Delta: Downward trending cumulative = institutional distribution - High Min Delta: Strong selling pressure at resistance levels PRO TECHNIQUES -Divergence Analysis: Price goes up but cumulative delta goes down = potential reversal - Volume Confirmation: High delta + high volume = strong institutional conviction - Session Bias: Positive session delta = bullish bias, negative = bearish bias BEST USED FOR - Scalping: 1-5 minute timeframes for quick institutional flow detection - Day Trading: 15-60 minute timeframes for session bias and reversal spots - Volume Profile: Combine with volume profile for complete order flow picture - Futures Trading: Excellent for ES, NQ, crude oil, forex majors PRO TIPS 1. Watch for Delta Divergences - Most reliable reversal signal 2. High Volume + High Delta = Institutional activity 3. Session Delta Direction = Overall market bias 4. Blue highlighted column= Current live data 5. Use with Support/Resistance for entry/exit timing IMPORTANT NOTES - Works on ALL timeframes and ALL markets - Real-time updates for live trading decisions - Historical data available for backtesting strategies - No repainting - all signals are final and reliable The matrix format makes complex data easy to interpret, giving a significant edge in understanding market dynamics and smart money order timing.
Penunjuk Pine Script®
oleh MaxMaserati
RISK ROTATION MATRIX ║ BullVision [3.0]🔍 Overview Introducing the Risk Rotation Matrix – a sophisticated macro-market sentiment tool that transforms dozens of global economic and cross-asset metrics into a single, adaptive composite signal. By converting key liquidity, macroeconomic, crypto, and risk data into standardized z-scores, this indicator provides a clear and dynamic visualization of the market’s current risk regime—helping users identify transitions across phases like Risk-On, Risk-Off, Recovery, and Weakening. 🧠 Key Features 🔢 Multi-Group Z-Score Normalization Each input is converted to a z-score based on its own historical mean and deviation, allowing otherwise incomparable signals to be unified on the same scale. Inputs are categorized into four data domains: - Liquidity: DXY, Global M2 Supply, Global Liquidity Index, Fed Balance, China Liquidity Proxy - Macroeconomic: SPX500, MBA Index, China Blue Chips, Emerging Markets, URTH - Crypto/Commodities: BTC SOPR, MVRV Z-Score, BTC/Silver Ratio, Total Crypto Cap - Risk/Volatility: MOVE Index, VVIX/VIX, Credit Stress, SKEW Index, USDT Dominance 📊 Dynamic Aggregation & Smoothing Group averages are combined into one global composite score, smoothed using user-defined filters (SMA, EMA, ALMA, etc.). This smoothing filters out noise while preserving critical phase transitions, without making any assumptions about future behavior. ⚙️ Customizable Inputs Each user can enable or disable metrics, and adjust the analysis period per component—offering full control and adaptability across different markets, cycles, and volatility conditions. 🎨 Advanced Visual Display – Animated Quadrant Matrix A dynamic quadrant chart (inspired by Ehlers loops) visualizes current market momentum as a glowing trail shifting between four regimes: 🟢 Risk-On (growth & confidence) 🟠 Weakening (loss of momentum) 🔵 Recovery (stabilizing after drop) 🔴 Risk-Off (panic & de-risking) These states are dynamically colored, animated, and supported by labels and trails for easy interpretation. Candlestick coloring and background overlays enhance usability. 📋 Integrated Risk Dashboard An embedded data table breaks down the real-time z-scores of each component across the four domains, including group averages and a final score. This feature allows fast scanning of which dimensions are driving current market behavior. ⚙️ How It Works 🧮 Z-Score Calculation & Group Aggregation Every data feed is normalized via z-score to neutralize scale differences. Then, groups (Liquidity, Macro, Crypto, Risk) are averaged independently and finally blended into a composite value. 🔁 Composite Smoothing & Signal Generation The user can apply smoothing (ALMA, EMA, etc.) to highlight trends and reduce noise. Smoothing length, type, and parameters are fully customizable for different trading styles. 🎯 Color Feedback & Market Regimes Visual dynamics (color gradients, labels, trails, and quadrant placement) offer an at-a-glance interpretation of the market’s evolving risk environment—without forecasting or forward-looking assumptions. 🔧 Parameters Explained 📌 Data Group Toggles Choose which sources are active in each group (liquidity, macro, crypto, risk). Set the z-score lookback period for each component. 📌 Smoothing Engine Pick between SMA, EMA, ALMA, etc., and define smoothing intensity (length, offset, sigma). 📌 Display Options Enable/disable: Quadrant overlays Particle trails Candlestick coloring Dashboard data matrix Phase background shading 🧪 Use Cases 🔍 Market Analysts Cross-verify macro themes and structural shifts with data-driven quadrant transitions. 🚀 Swing & Position Traders Identify broad market regime shifts, helping avoid exposure in Risk-Off phases. 💎 Why It’s Worth Paying For While the Risk Matrix leverages several well-known components (e.g., M2, SOPR, VIX), it uniquely combines them into a real-time, quadrant-based visual framework that is not available in any public script or built-in indicator. Unlike traditional mashups, this tool: Uses adaptive z-score normalization and cross-domain composite modeling Features a live animated quadrant display with dynamic trail rendering Integrates a modular risk dashboard and color-coded phase detection Is designed to be asset-agnostic and macro-compatible for cross-market analysis Moreover, the script includes several proprietary composite tickers, such as: A custom FED liquidity formula blending multiple balance sheet components A Chinese liquidity proxy combining rate spreads and FX-adjusted monetary aggregates A refined Global Liquidity Index (GLI) assembled from macro credit indicators A global M2 composite derived from multi-country M2 data and FX normalization These ticker combinations are entirely personal constructions that are not publicly available or replicated, requiring significant research and intellectual structuring. As such, they represent a layer of original IP (intellectual property) that justifies the invite-only distribution. The overall system delivers institution-grade market regime detection in a compact, visual format—ideal for traders seeking actionable macro signals without noise or prediction bias. ⚠️ Disclaimer This tool does not and cannot predict future market behavior. It simply visualizes standardized historical data. Use it in combination with sound risk management. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh BullVisionCapital
PRICE MOVEMENT STATISTICS# Price Movement Statistics - Advanced Pattern Recognition System ## Foundation Price Movement Statistics (PMS) represents a fundamentally different approach to market analysis compared to traditional indicators like RSI, Moving Averages, or Bollinger Bands. While most indicators rely on mathematical transformations of price data, PMS implements a **machine learning-inspired nearest-neighbor algorithm** that compares current market conditions against thousands of historical patterns across multiple correlated instruments. ### What Makes This Original Unlike standard indicators that follow predetermined formulas, PMS: 1. **Multi-Symbol Pattern Database**: Analyzes up to 4 different but correlated symbols simultaneously, creating a massive historical pattern database that single-symbol indicators cannot access 2. **8-Feature Normalized Vector Comparison**: Converts each candlestick into 8 numerical features (body-to-range ratios, wick proportions, relative positioning, momentum characteristics) and uses Manhattan distance calculations to find statistically similar historical situations 3. **Forward-Looking Statistical Validation**: Instead of just identifying patterns, PMS tracks what actually happened 1-5 bars after similar patterns occurred historically, providing probabilistic forecasts with sample sizes and confidence levels 4. **Adaptive Similarity Scoring**: Uses real-time distance calculations between current conditions and historical patterns, allowing traders to see exactly how many similar cases existed and their outcomes ## Technical Methodology Explained ### Pattern Recognition Engine The core algorithm transforms each market condition into a normalized 8-dimensional vector containing: - Short vs. long-term range ratios computed using proprietary envelope calculations - Price position relative to recent ranges using adaptive scaling methods - Volatility comparisons across multiple timeframes with logarithmic return analysis - Momentum divergences between short and long-term linear regression slopes - Volume behavior patterns using statistical deviation scoring - Candlestick structure metrics including ATR ratios and boundary touch frequencies ### Advanced Code Architecture **Multi-Symbol Data Pipeline**: The system employs Pine Script's `request.security()` function in a sophisticated loop structure that simultaneously processes up to 4 different instruments. Each symbol contributes its own 8-feature vector, creating a 32-dimensional search space that dramatically expands pattern recognition capabilities beyond single-symbol analysis. **Adaptive Normalization Engine**: Rather than using simple percentage changes, the code implements a custom `scale_adaptive()` function that ranks current values against rolling historical distributions. This percentile-based approach ensures pattern recognition remains consistent across different market volatility regimes and price levels. **Distance Matrix Calculations**: The matching algorithm runs nested loops through thousands of historical bars, computing Manhattan distances for each potential match. The code optimizes performance by using vectorized operations and early termination conditions when similarity thresholds aren't met. **Forward-Looking Analysis Pipeline**: Once matches are identified, the system implements a sophisticated outcome tracking mechanism that categorizes future price movements, volume behaviors, and candle characteristics. This requires careful index management to avoid look-ahead bias while maintaining real-time calculation efficiency. ### Similarity Matching Process 1. **Data Normalization**: Features are processed through custom percentile ranking against 500-bar rolling windows 2. **Distance Calculation**: Optimized Manhattan distance computation across 8-dimensional vectors with early exit conditions 3. **Multi-Symbol Aggregation**: Matches from different symbols are weighted and combined using statistical averaging techniques 4. **Threshold Filtering**: Dynamic similarity boundaries that adapt to market volatility conditions 5. **Outcome Analysis**: Forward-looking statistical compilation with bias tracking and magnitude calculations ### Statistical Output Generation The system's proprietary aggregation engine provides: - **Win/Loss Ratios**: Calculated from actual forward-price movements with statistical weighting - **Sample Sizes**: Match counts across all symbols with confidence scoring algorithms - **Average Magnitude**: Expected move calculations using historical outcome distributions - **Volume Context**: Pattern-specific volume analysis using normalized scoring methods - **Directional Bias**: Multi-timeframe probability calculations with cross-symbol validation ## Why This Approach is Worth the Investment ### Beyond Traditional Indicators Standard indicators like RSI or MACD give you oversold/overbought signals or momentum divergences, but they don't answer the crucial question: "What happened historically when similar conditions occurred?" PMS bridges this gap by providing: 1. **Quantified Probabilities**: Instead of subjective pattern recognition, you get actual win rates and sample sizes 2. **Cross-Market Validation**: Patterns confirmed across multiple correlated instruments carry more statistical weight 3. **Sample Size Transparency**: You can see whether a signal is based on 5 occurrences or 500, adjusting confidence accordingly 4. **Magnitude Expectations**: Historical data shows not just direction, but expected move sizes ### Practical Trading Applications **Entry Timing**: When PMS shows >70% historical win rate with 100+ matches, you have statistical evidence supporting your entry rather than relying on visual pattern interpretation. **Risk Management**: Historical magnitude data helps size positions appropriately based on expected adverse moves in similar past situations. **Confirmation**: Multi-symbol analysis provides cross-market confirmation that single-symbol indicators cannot offer. ## How to Use the System ### Signal Interpretation - **Bias Ratio >1.5**: Historically bullish (more winning long trades than losing ones) - **Bias Ratio <0.67**: Historically bearish (more winning short trades than losing ones) - **Sample Size >50**: High confidence (sufficient historical data) - **Sample Size <20**: Low confidence (limited historical precedent) ### Setup Optimization - **Symbol Selection**: Choose 3-4 correlated instruments (e.g., stock + sector ETF + index, or currency pairs with base currency relationships) - **Timeframe Coordination**: Use higher timeframes for broader context, lower timeframes for precise entry timing - **Threshold Adjustment**: Lower similarity thresholds find more specific matches; higher thresholds increase sample sizes ## Technical Requirements and Limitations **Data Depth**: Requires minimum 1000 bars per symbol for meaningful analysis; 3000+ bars recommended for optimal performance. **Computational Load**: Real-time pattern matching across multiple symbols and thousands of historical bars requires TradingView's advanced Pine Script capabilities. **Market Applicability**: Most effective in liquid markets with sufficient historical data; less reliable in newly listed instruments or during unprecedented market conditions. ## Important Disclaimers This system identifies historical statistical patterns under similar conditions—it does not predict future movements with certainty. Effectiveness depends on intelligent symbol selection, appropriate timeframe usage, and integration with proper risk management. Past performance patterns do not guarantee future results, and all trading involves substantial risk of loss. The algorithm's sophistication lies not in complex mathematical formulas, but in its ability to efficiently search through massive historical datasets and quantify pattern outcomes—something impossible to do manually and unavailable in standard technical indicators.
Penunjuk Pine Script®
oleh Future_2x