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Analysis

AG Pro Trend QualityAG Pro Trend Quality Overview / What it does The "AG Pro Trend Quality" script is a quantitative analysis tool designed to evaluate market momentum and directional strength, classifying price action into two primary regimes: TREND and CHOP. Its main output is an on-chart analytical panel that displays the current market regime, a normalized Trend Quality Score (0-100), market direction, and Multi-Timeframe (MTF) alignment. The script aims to help users filter out low-probability environments and visualize macro-trend continuation without cluttering the primary chart interface. Unique Edge (Why it is not a basic mashup) This script is not a simple combination of standard moving averages or raw indicators. It introduces a composite scoring model that normalizes three distinct market dimensions into a unified 0-100 scale: directional momentum (via ADX), price efficiency (via Kaufman's Efficiency Ratio logic), and the rate of change (via ATR-normalized EMA slope). The unique edge lies in its gating and cooldown engine. Rather than flickering on every minor price fluctuation, the system requires a sustained threshold breach, confirmed over consecutive bars, before shifting the recognized regime. Additionally, it features an adaptive UI that automatically reduces visual data lines during non-trending (CHOP) periods to maintain absolute chart hygiene. Methodology (Conceptual Data Flow) Feature Extraction: The script calculates raw values for Directional Movement, Price Efficiency (step-vs-distance), and EMA Slope. Normalization: These raw values are strictly bounded and normalized to a 0.0 – 1.0 scale using mathematical constraints. Scoring: The normalized features are combined using a weighted formula (45% ADX, 35% ER, 20% Slope) to generate the final Trend Quality Score. Filtering & Gating: A score above the user-defined threshold triggers a TREND candidate. Hysteresis bands (±3 points) prevent rapid toggling around the threshold level. State changes are subject to a user-defined bar-count confirmation and a secondary cooldown timer to ensure stability. MTF Confirmation: The script can dynamically check a Higher Timeframe (HTF) for trend alignment. If the HTF is recognized as CHOP, the Lower Timeframe (LTF) trend is strictly designated as "BLOCKED". Signals and Alerts All alerts are deterministically defined based on strict mathematical conditions. For optimal stability, alerts should be configured to trigger on "Once Per Bar Close". TQ: CHOP -> TREND: Triggers precisely when the final filtered regime state shifts from 0 to 1. TQ: TREND -> CHOP: Triggers when the filtered regime state shifts from 1 to 0. TQ: Strong Trend: Triggers when the regime is TREND and the underlying score exceeds the threshold + user-defined "Strong Offset". TQ: HTF Blocked / Unblocked: Triggers specifically when the Multi-Timeframe gating status changes state. Limitations & Transparency This script utilizes request.security() to fetch Higher Timeframe (HTF) data for the MTF confirmation feature. While barmerge.lookahead_off is explicitly used to prevent repainting, historical HTF visuals may exhibit slight variances compared to real-time execution due to the inherent nature of TradingView's data feed updates. Intrabar alert triggers are not recommended; always wait for the bar close for final regime confirmation. What It Is Not & Risk Disclosure This indicator is not a standalone trading strategy, not an automated bot, and does not provide buy or sell recommendations. There is no such thing as a guaranteed win rate or a perfect indicator. Not financial advice. Past performance is not indicative of future results. Do your own research and testing.
Pine Script® インジケーター
AGProLabsの投稿
Code 33 - 3 qts of acceleration (YoY) for EPS, Sales, & MarginsMark Minervini's Code 33 screen, from his "Trade Like a Stock Market Wizard" book, helped him look for potentially powerful growth stocks that have 3 straight quarters of EPS (diluted) + Sales + NPMs growth on a YoY basis. I figured I create and share it as a script because as far as I know, TradingView lacks the ability to screen for fundamental acceleration, which here would be defined as consecutive quarterly growth on a YoY comparison basis (comparing Q1 of 2025 to Q1 of 2024; not comparing Q1 of 2025 to Q4 of 2024). Acceleration is a trademark for techno-fundamentalists such as Minervini, O'Neil, Weinstein, and the list goes on. Now, you will not only be able to see this on your charts, but you can also use this on the Pine Beta Screener to filter for stocks that meet one or more of the criteria. Just set the filter condition to equal "1". *A quick note on the code: TradingView doesn't have a native 'Net Profit Margin' identifier that isolates strict Fiscal Quarter (FQ) data without smoothing it into a Trailing Twelve Months (TTM) format. Because true YoY acceleration requires raw quarterly comparisons, I coded the script to manually calculate the exact quarterly margin by dividing FQ Net Income by FQ Total Revenue. This ensures the YoY acceleration signal is 100% accurate to the specific quarter. I am not a coder by any means but I always wanted to have this available to me so after playing around with Gemini's pro LM, you should be able to see and screen stocks like this going forward. Maybe in the future, I will edit it for aesthetic purposes or add more to allow for even more detailed screening especially for CANSLIM investors like myself. I also made it open-source as well so if you prefer different metrics, it should not be too difficult to take this script into a LM of your choice and make it your own. Happy trading. NYSE:ASX
Pine Script® インジケーター
Leonitus14の投稿
HTF Candle Dynamics [LuxAlgo]The HTF Candle Dynamics indicator provides traders with a comprehensive view of Higher Timeframe (HTF) price action and volume distribution directly on their lower timeframe charts. By projecting the current developing HTF candle and its internal volume characteristics to the right of the price, users can maintain high-level context without switching tabs. Note: Ensure the chart timeframe is lower than the selected HTF setting for the indicator to function correctly. 🔶 USAGE This tool is designed to bridge the gap between execution timeframes and higher-level market structures. It is particularly useful for scalpers and day traders who need to stay aware of Daily or Weekly levels while trading on 1-minute or 5-minute charts. 🔹 HTF Candle Projection Visualizes the current HTF period (e.g., Daily, Weekly) as a dynamic candle on the right side of the chart. It includes projections for the HTF Open, High, Low, and Close levels. These levels often act as significant psychological barriers where price might find support or resistance. 🔹 Intraday Volume Profile Generates a volume profile specifically for the current HTF period. This allows traders to see where the most volume is being transacted within the developing candle. Identifying "High Volume Nodes" within the current HTF candle can signal where institutional interest is concentrated. 🔹 Dynamic POC Tracking A polyline tracks the movement of the Point of Control (POC) throughout the HTF period, showing how the most traded price level has shifted over time. If the POC is trending upward alongside price, it confirms a healthy bullish trend; if price moves away from a static POC, it might indicate a potential mean reversion back to that high-volume level. 🔹 How to Use Traders can utilize this indicator to align their intraday trades with the broader market direction: Identifying Value : Use the Intraday Volume Profile to spot the Point of Control. If the price is trading above the POC, the market is currently in a premium zone for that HTF. If it is below, it may be considered "discounted" relative to the volume transacted so far. Breakout Confirmation : When price breaks the High or Low of the projected HTF candle, traders look for volume expansion within the profile to confirm if the breakout has significant participation. Mean Reversion : The Dynamic POC line acts as a magnet. If price overextends significantly from the POC line, traders often look for signs of exhaustion to play a move back toward the high-volume area. 🔶 DETAILS The indicator uses security calls to fetch historical HTF data while calculating the current developing period in real-time. A dedicated status table ensures the selected HTF is valid relative to the chart timeframe to prevent calculation errors. 🔹 History Dashboard The dashboard provides a statistical breakdown of the previous three HTF candles (T-1, T-2, T-3). This is crucial for "Contextual Trading." By seeing the OHLC values and Volume Delta of the previous periods, you can determine if the market is experiencing "Expansion" (increasing volume and candle size) or "Contraction" (decreasing volume and tighter ranges). 🔹 Volume Delta The Volume Delta shown in the history dashboard is an approximation calculated by summing volume based on the direction of individual intraday candles. 🔶 SETTINGS HTF Setting : Defines the timeframe for the candle projection and volume profile (default is "D"). Right Offset : Adjusts the horizontal position of the projected candle and labels to avoid overlapping with price. Visuals : Full control over bullish/bearish colors, POC lines, and projection offsets. Volume Profile : Toggle the profile visibility and customize the number of rows or the maximum width of the bars. History Dashboard : Toggle the history dashboard and adjust its position (Top Right, Bottom Right, etc.) or size.
Pine Script® インジケーター
LuxAlgoの投稿
Volume Heat Map by Green SquadThe Volume Heat Map measures relative participation intensity by normalizing current volume against its moving average. Instead of displaying raw volume, the indicator evaluates how active the market is relative to its recent baseline, allowing volume to adapt across timeframes, instruments, and changing volatility regimes. Core Logic At its foundation: Relative Volume = Volume / SMA(Volume, Length) 1.0 → Above-average participation < 1.0 → Below-average participation This relative ratio is classified into participation regimes: Cold → Weak activity Normal → Baseline conditions Warm → Expanding interest Hot → Strong engagement Very Hot → Aggressive order flow This transforms volume from a raw histogram into a structured participation state model. Bullish vs Bearish Classification Relative volume is paired with candle direction: Green spectrum → Bullish participation expansion Red spectrum → Bearish participation expansion This allows instant assessment of: Who is initiating pressure Whether momentum is supported by liquidity Whether a move is commitment-driven or thin The indicator does not measure delta, but it approximates initiative bias through price acceptance within the bar. Volume-Weighted Breakouts Breakouts are only highlighted when: Price exceeds a defined structural range Relative volume exceeds a minimum threshold This filters low-liquidity fakeouts and emphasizes breakouts supported by real participation. The logic reflects a fundamental auction principle: Structural expansion requires participation to sustain. Practical Application This indicator is diagnostic, not predictive. It is best used to: Confirm breakout strength Validate continuation setups Filter weak signals Detect early participation expansion before volatility expansion Volume expansion often precedes structural shifts. This tool isolates that transition in real time. Stay tuner for more trading tools.
Pine Script® インジケーター
Green_Squadの投稿
Tribute To Peter LynchTribute To Peter Lynch - Fund Manager Simulator "Know what you own, and know why you own it." - Peter Lynch WHO WAS PETER LYNCH? Peter Lynch is one of the greatest investors who ever lived. From 1977 to 1990, he managed the Fidelity Magellan Fund and turned it from $18 million into $14 billion in assets. He averaged a 29.2% annual return for 13 straight years, making Magellan the best-performing mutual fund in the world. What made Lynch different? He believed regular people could beat Wall Street. He bought stocks in companies he understood - he'd ask minivan owners at movie theaters what they thought of their Chrysler, he'd notice the local factory hiring more people, he'd pay attention to which donut shop had the longest line. He called this your "investor's edge" - the things you already know from your daily life that Wall Street analysts sitting in their offices can't see. Lynch famously said: "If you can tell your stock story to a fifth grader and they understand it, you've got a good one. The more complicated the story, the more likely it is to fall apart." He also had the stomach for downturns. During his 13 years at Magellan, the market dropped 10% or more NINE times, and Magellan fell right along with it every single time. But he never panicked. He knew that behind every stock is a company, and if the company is doing well, the stock will eventually follow. WHAT THIS SCRIPT DOES This is a fund manager simulator built entirely around Peter Lynch's investing philosophy. It's not a technical indicator. There are no moving averages, no RSI, no MACD. Lynch was a fundamental investor - he cared about what a company earns, how fast it's growing, how much debt it has, and whether the story makes sense. The script classifies any stock into one of Lynch's 6 categories, scores it on a 0-100 Lynch Score, evaluates the fundamental story, and generates buy/sell signals based purely on the same criteria Lynch used at Magellan. THE 6 STOCK CATEGORIES Lynch believed you can't treat all stocks the same. A 50% gain on a Slow Grower is fantastic and probably time to sell. The same 50% on a Fast Grower could be just the beginning of a 10-bagger. He broke every stock into 6 categories: 1. FAST GROWERS (20%+ earnings growth) Companies growing earnings fast, typically small to mid-sized. These are the potential 10-baggers. Lynch looked for PEG ratios below 1.0 and used his "baseball inning" concept - you want to buy these in innings 2-5, when the formula is proven but there's still a long runway ahead. Think of Walmart when it only had a few hundred stores, or Microsoft 3 years after its IPO. 2. SLOW GROWERS (3-8% earnings growth) Large, mature companies that grow about as fast as the overall economy. You buy these for the dividend. Lynch looked for steady, rising dividends with a low payout ratio (so the dividend is safe). If the dividend yield drops or the payout ratio gets too high, it's time to move on. 3. STALWARTS (10-14% earnings growth) Big, solid companies that aren't going to disappear but aren't going to triple overnight either. Lynch's rule: take your 30-50% gain and rotate the money into another Stalwart. These are your portfolio's defense - they hold up in recessions and won't go bankrupt. 4. CYCLICALS (tied to the economic cycle) Companies in industries like autos, airlines, steel, and chemicals that boom and bust with the economy. Here's Lynch's counterintuitive trick: buy cyclicals when the PE is HIGH (that means earnings are at the trough and about to recover) and sell when the PE is LOW (earnings have peaked and are about to fall). This is the opposite of how PE works for every other category. 5. TURNAROUNDS (beaten down, potential recovery) Companies in deep trouble that might recover. Lynch always checked: does this company have enough cash to survive? Is there a real plan (new management, cost cutting, selling bad divisions)? He said don't buy on hope - wait for actual evidence the turnaround is working. But when they work, the upside can be enormous. 6. ASSET PLAYS (hidden value) Companies sitting on assets the market doesn't see or doesn't value - real estate, patents, brand names, cash on the balance sheet. Lynch's example: Disney after it opened Epcot. Growth slowed, but the company was sitting on the Disney name, all that Florida land, and a library of characters worth billions that were carried on the books for nothing. BAR REPLAY - WHERE THIS SCRIPT REALLY SHINES This script was built with TradingView's Bar Replay feature in mind. Bar Replay is what transforms this from a backtest into a fund manager simulator. HOW TO USE BAR REPLAY: 1. Add the script to your chart 2. Pick any stock and classify it (Fast Grower, Stalwart, etc.) 3. Set your fundamental inputs if using Manual mode, or let Auto mode pull TradingView financial data 4. Click the Bar Replay button on your toolbar (the clock icon with a rewind arrow) 5. Pick a starting date - maybe go back 5 years, or 10, or start right before a crash 6. Press Play and watch the simulation unfold bar by bar WHAT YOU'LL SEE IN BAR REPLAY: - The Lynch Score updates in real time as fundamentals change each quarter - The Story Status shifts: "Growth Accelerating" might become "Growth Slowing" as the company matures - Buy and sell signals fire when Lynch's criteria are met - The P&L tracker shows your position gain in real time - The Peter Lynch portrait in the corner changes color based on how your portfolio is doing: -- Equity rising: Lynch appears in bright GREEN against a deep BLUE background, getting more vivid as gains grow -- Heavy drawdown: Lynch turns CRIMSON RED against a BLACK background -- Stop loss hit: The portrait FLASHES RED as a warning -- Neutral: Lynch appears in CYAN/TEAL against dark navy - The daily Lynch wisdom quote rotates, keeping you in his mindset BAR REPLAY SCENARIOS TO TRY: - Start replay on Apple (AAPL) in 2003 as a Turnaround - watch it reclassify into a Fast Grower - Replay Ford (F) through 2008-2012 as a Cyclical - see Lynch's high-PE-buy rule in action - Run Coca-Cola (KO) from 1990 as a Stalwart - practice the 30-50% rotate rule - Try any stock through the 2020 COVID crash - Lynch survived 9 crashes at Magellan, now you can experience one SETTINGS GUIDE - EXPLAINED SIMPLY Think of the settings like customizing a video game character before you play. Here's what each group does: GROUP 1: STOCK TYPE "What kind of company is this?" Pick one of the 6 categories. This changes ALL the rules the script uses. Baseball Inning: Where is this company in its life? - Innings 1-3 = Young, lots of room to grow (like a kid) - Innings 4-6 = Middle age, proving itself - Innings 7-9 = Old, running out of gas Early innings get a score bonus. Late innings get a penalty. GROUP 2: FUNDAMENTAL DATA "Where do the numbers come from?" - Auto mode: TradingView pulls real financial data (EPS, revenue, debt) automatically. Best for stocks. - Manual mode: You type in the numbers yourself. Use this for crypto, forex, or if Auto data looks wrong. GROUP 3: PEG & VALUATION "How do I know if a stock is cheap or expensive?" PEG = Price-to-Earnings divided by Growth rate. - PEG of 1.0 = fairly priced (PE matches growth rate) - PEG below 1.0 = cheap (you're paying less than what the growth is worth) - PEG above 2.0 = expensive The Buy Threshold (default 1.0) means: "only buy if PEG is at or below this number." The Sell Threshold (default 2.0) means: "sell if PEG goes above this number." GROUP 4: BALANCE SHEET HEALTH "Is this company in good financial shape?" - Max Debt/Equity: How much debt is too much? Default 0.50 means total debt shouldn't be more than half of the company's net worth. Lynch always checked the balance sheet. - Min Cash Ratio: Does the company have enough cash? Important for Turnarounds. - Max Payout Ratio: Is the company paying out too much of its earnings as dividends? Above 80% means the dividend might get cut. GROUP 5: CATEGORY RULES "Special rules for each stock type." These are the specific thresholds for each of the 6 categories. The defaults are based on Lynch's actual criteria from his books. Examples: - Fast Grower Min Growth 20%: Lynch said a Fast Grower needs at least 20% earnings growth - Stalwart Rotate Target 40%: Lynch rotated Stalwarts after 30-50% gains - Cyclical Trough PE 25: Buy cyclicals when PE is HIGH (counterintuitive!) GROUP 6: STRATEGY SETTINGS "Should the Lynch Score control the trades?" - Score Gate OFF (default): The Lynch Score is just a meter showing conviction. Trades fire based on category rules alone. - Score Gate ON: The Lynch Score must be above the entry threshold to buy and below the exit threshold to sell. This adds an extra filter. GROUP 7: RISK MANAGEMENT "How much can I lose on one trade?" - Stop Loss: If the stock drops this % from your entry price, sell automatically. Default 15%. - Take Profit: If the stock rises this % from your entry price, sell automatically. Default 100% (a double). GROUP 8: DISPLAY "What do I see on the chart?" - Show/hide the Lynch portrait, the dashboard panel, and buy/sell signals - Customize your bull/bear/neutral colors THE DASHBOARD The top-right panel shows everything Lynch would want to see at a glance: - LYNCH SCORE: A 0-100 conviction meter with a visual bar. Built from 5 sub-scores: -- PEG Score (0-25): Is the stock cheap relative to its growth? -- Earnings Score (0-25): Is earnings growth meeting the target for this category? -- Balance Sheet Score (0-20): How healthy is the financial structure? -- Margin Score (0-15): Are profit margins good and expanding? -- Dividend Score (0-15): Is the dividend policy appropriate for this category? - STORY STATUS: The current fundamental narrative in plain English -- "Growth Accelerating", "Trough - Buy Zone", "Turnaround Succeeding", etc. - SIGNAL: The specific reason behind the current buy or sell signal - P&L: When in a trade, shows your unrealized gain/loss and warns Stalwart holders when approaching the rotate target - VALUATION: PEG ratio, PE ratio, and fair value comparison - EARNINGS: EPS, EPS growth rate, and revenue growth vs. category targets - BALANCE SHEET: Debt/equity ratio and net cash per share - MARGINS: Profit margin trend (expanding or contracting) - DIVIDENDS: Yield, payout ratio, and sustainability assessment - DAILY WISDOM: A rotating quote from Peter Lynch to keep you grounded RESEARCH & SOURCES This script was built using the following primary sources, all studied extensively: 1. "One Up On Wall Street" by Peter Lynch with John Rothchild (1989) share.google Lynch's first book laying out his complete investment philosophy - the 6 categories, PEG ratio, the "story" framework, and the idea that everyday investors have edges over professionals. 2. "Beating the Street" by Peter Lynch with John Rothchild (1993) share.google Lynch's second book where he walks through his actual portfolio decisions at Magellan, explains his mutual fund strategy, and shows step-by-step how he picks stocks. 328 pages of real-world application. 3. "The Peter Lynch Playbook" compiled by Mayur Jain (@mjbaldbard) share.google A comprehensive set of notes summarizing both Lynch books plus interview snippets. Covers portfolio allocation percentages, category-specific checklists, the 2-minute drill for each stock type, risk/reward profiles, and sell criteria. This document was instrumental in translating Lynch's qualitative approach into quantifiable rules. 4. Peter Lynch's "Stock Shop" Video Consultation (Fidelity Archives) youtu.be A full-length video presentation where Lynch personally explains his approach to categorizing stocks, building stories, understanding PE ratios, evaluating balance sheets, and managing risk. Key quotes transcribed and used to calibrate the scoring engine and story status logic. IMPORTANT NOTES - This is a STRATEGY script, not an indicator. It generates actual backtestable trades. - The script is purely fundamental. No technical analysis. Lynch didn't use charts to make decisions. - Auto mode requires stocks with TradingView financial data. For other instruments, use Manual mode. - The Lynch Score is a CONVICTION METER by default, not a trade gate. Enable Score Gate in settings if you want it to filter trades. - All portrait coloring is non-repainting. Colors only update on confirmed (closed) bars. - Start with Bar Replay. That's where the magic happens. Watch the story unfold bar by bar, just like Lynch did at his desk at Fidelity every morning. "The key organ is the stomach, not the brain." - Peter Lynch
Pine Script® ストラテジー
Beck_Mullenの投稿
Key Price Levels Daily Ver [structJCWL]As an independent developer and active trader, I built this tool to address a personal frustration: the lack of precision in standard session-level indicators. For those who trade based on market micro-structure, a level that is "approximately" correct is a logic error. Key Price Levels Daily Ver is an engineering implementation focused on reconstructing session data with surgical accuracy. It is designed for traders who require reliable, noise-filtered benchmarks to anchor their daily execution. THE ENGINEERING LOGIC: 1-Second (1S) Intrabar Reconstruction : Standard scripts often rely on daily-bar data, which can be imprecise. This tool re-aggregates the session using 1-Second (1S) granularity . By processing every sub-candle, it ensures that POC, Value Area, and Extremes are anchored to the true weight of capital commitment. The 15-Minute Threshold (Technical Rationale) : To maintain the high fidelity of 1S data aggregation, this indicator is optimized for timeframes ≤ 15 minutes . Calculating micro-structure on higher timeframes leads to data thinning and reduced precision—limitations I refuse to accept in my personal trading setup. Adaptive Visual Hierarchy (Fade & Limits) : To prevent visual clutter, I’ve integrated Fade Strength and Timeframe Limits . Lines automatically adjust their transparency or visibility based on your current timeframe, ensuring that the most relevant levels remain clear while secondary noise recedes. Reliability by Design : In 24/7 markets, script stability is paramount. I have implemented defensive programming (including a 98,000-unit memory circuit breaker ) to prevent overflows during extreme volatility. I strive for absolute dependability; if you encounter any issues, your feedback is highly welcome as we refine and improve this tool together. 作为一名独立开发者与实战交易者，我构建此工具是为了解决一个长期的困扰：标准时段指标精度的缺失。对于基于市场微观结构进行交易的人来说，“大约准确”的水位本身就是一种逻辑错误。 Key Price Levels Daily Ver 是我对日内关键水位线的个人工程化实现，专注于以“外科手术式”的精度重构时段数据。它专为那些需要可靠、过滤噪音的基准位来锚定日内执行的交易者而设计。 核心设计逻辑： 1秒级微观重构 (1S Precision) ：我不满足于直接调用现成的日线数据。脚本通过扫描 1秒 (1S) 微观颗粒度数据 来重构整个交易时段，确保 POC 和价值区的计算基准来自于最真实的成交细节。 15分钟周期硬限制 ：为了保证 1S 数据聚合的极致精度，本脚本仅限在 15分钟及以下周期 运行。在更长周期调用微观数据会导致精度大幅下降。作为开发者，我不允许“大约准确”的逻辑存在于我的系统里。 自适应视觉层级 (Fade & Limits) ：通过内置的 淡化强度 (Fade) 与 周期限制 (Limits) ，水位线会根据你当前的图表周期自动调节透明度或可见性。 可靠性设计 ：在 24/7 不间断的交易中，脚本的稳定性至关重要。我在代码底层加入了防御性设计（包括 98,000 数组容量熔断机制 ），旨在防止极端行情下的计算溢出或图表崩溃。我追求的是一个能让人放心的工具，若你在使用中发现任何问题，欢迎随时反馈，我们共同完善。 Feedback & Interaction: As a personal project, this script is continuously refined. I welcome any bug reports or suggestions for improvement to make this tool even more robust for the community. Compliance & Credits: Author: structJCWL (Independent Developer & Trader) License: Mozilla Public License 2.0 (MPL 2.0) Attribution: Core data aggregation and state-machine logic are 100% original implementations
Pine Script® インジケーター
structJCWLの投稿
Extended Sentiment Pressure Oscillator (ESP)Extended Sentiment Pressure Oscillator (ESP) The ESP is a multi-purpose trend and bias oscillator designed to visualize who is in control: buyers or sellers. It measures the balance between upward and downward pressure inside each candle and across a lookback window, then converts that information into an easy-to-read visual signal. Unlike classic oscillators that only look at close prices, ESP evaluates price structure (High–Low–Open–Close), range behavior, and multiple normalization methods. This makes it adaptable to many markets—from fast crypto scalping to slower swing trading on stocks, forex, commodities... What makes ESP different? _______________________ Most oscillators give you a single line. ESP gives you a full pressure model: * Uptrend line – how strong buyers are * Downtrend line – how strong sellers are * Net Pressure (Bias) – the real battle result * Optional histogram and signals You can view it in: * Classic 0–100 mode (Average Sentiment Oscillator style) * Expanded centered mode (-50…+50) for intuitive bullish/bearish reading ESP is not “another RSI”. It focuses on market pressure and imbalance, not overbought/oversold. Core Features ____________ Multi-Normalization Engine - Choose how pressure is measured: * Bar Range – immediate candle structure * Window Range – broader context * Mix – blend of both, averaged. * Hybrid - pure blend of Bar- & Window Range, not averaged. * (Average) True Range (TR / ATR) – volatility-aware modes Adaptive Smoothing: Select your preferred MA type: SMA, EMA, HMA, SMMA (RMA), WMA, VWMA Sensitivity Control - A unique ESP Sensitivity knob lets you: * Reduce noise (<1.0) * Amplify reactions (>1.0) * or stay neutral (1.0) Signal Logic - Two modes: * ZeroCross – classic bias crossing * MomentumShift – early detection using consecutive rises/falls and slope strength Visual Tools: * Tricolor Net Pressure line * Bias histogram * Optional UP/DOWN flags * Focus mode to highlight the most important signal How to Use ESP (Practical Use Cases) ? ________________________________ 1) Trend Confirmation Use ESP as a trend filter for your main strategy: * Net Pressure above 0 → bullish environment * Net Pressure below 0 → bearish environment * Rising Net Pressure → momentum building Great companion to combine with: * Price Action * Other indicators like * Crossing EMA's * MACD * VWAP * RSI * ... * Breakout systems * ... 2) Early Momentum Detection With MomentumShift mode, ESP can react before a zero cross: * Two or more consecutive rises = early bullish shift * Two or more consecutive falls = early bearish shift * Optional minimum slope filters weak moves Ideal for: * Scalping pullbacks * Exit timing * Avoiding late entries 3) Regime & Strength Analysis by combining: * Up/Down lines * Net Pressure * Histogram This lets you read: * Strong trends * Weak consolidations * Momentum exhaustion * Diverging pressure vs price Who is this for? _____________ Anyone can use this indicator at will, while this could prove an extra aid especially for: * Discretionary traders needing clear bias visualization * Traders looking for a robust gate/filter aid * Multi-asset traders (crypto, stocks, forex, commodities,...) Important Notes ______________ ESP is an indicator or technical analytical tool, not a trading system Works best combined with price action and risk management Past performance ≠ future results Signals provided should not be used solely to make any trading decisions Trading always involves risk To conclude, ESP or Extended Sentiment Pressure oscillator can help you understand the pressure behind the candles, making decisions clearer based on structure rather than on noise.
Pine Script® インジケーター
PJooris1408の投稿
2
Volume Average [UkutaLabs]█ OVERVIEW Volume Average is a simple yet powerful indicator designed to help traders quickly understand how current trading volume compares to its historical norm. By plotting an average volume line directly on the volume chart, this indicator makes it easy to identify periods of unusually high or low participation , which often precede or confirm meaningful price movements. Rather than focusing on raw volume alone, Volume Average provides essential context—helping traders distinguish between routine market activity and moments when volume truly matters. █ HOW IT WORKS The indicator calculates a moving average of volume over a user-defined period and displays it alongside standard volume bars. Volume above the average suggests increased market interest Volume below the average indicates reduced participation Sustained deviations from the average can highlight accumulation, distribution, or breakout conditions █ PRACTICAL USE CASES Confirming breakouts and breakdowns Identifying high-participation trend moves Spotting low-volume consolidations Filtering false price moves caused by weak volume █ SETTINGS Adjustable volume average length Works on all markets and timeframes Compatible with any trading style (scalping, day trading, swing trading) █ SUMMARY Volume Average is a clean, no-noise tool that helps traders focus on what matters most: when volume is truly significant . It pairs well with price action, support and resistance, and trend-based strategies.
Pine Script® インジケーター
UkutaLabsの投稿
Visual Trading ZonesVisual Trading Zones is a chart-based indicator designed to display clear and structured price zones using evenly spaced levels. The indicator automatically builds horizontal zones across the visible price range and helps traders visually identify potential areas of interest such as support, resistance, and reaction zones. Key Features Displays horizontal price zones with a fixed step Optional main levels and sub-levels inside each zone Clean and minimal visual presentation Works on any market and timeframe Fully customizable colors, line styles, and zone transparency No signals, no alerts — purely visual analysis tool How It Works Price zones are constructed using a user-defined step size. Each zone is visually highlighted, allowing traders to quickly see how price interacts with these areas over time. The indicator does not repaint and does not generate trading signals. It is intended to be used as a visual framework alongside any trading strategy. Recommended Use Identifying potential support and resistance zones Market structure and range analysis Confluence with price action, indicators, or volume tools ⚙️ Settings Overview Step — distance between price zones Step Unit — ticks or pips (for FX instruments) SubLevels — number of internal levels within each zone Show Zones / Lines / Prices — visual display options Range Bars — number of bars used to build zones Style Settings — colors, line styles, transparency
Pine Script® インジケーター
Benepammの投稿
TRADING BITE Supply Demand Marker V2.1This Indicator Automatically identifies key supply and demand candles and highlights potential reversal zones. Integrated volume analysis validates market moves, helping traders make more informed entry and exit decisions. Perfect for spotting high-probability trades and understanding market structure at a glance. Features: Highlights Supply & Demand zones automatically Marks key reversal candles Volume-based validation for stronger signals Easy-to-read visual alerts for trading decisions Disclaimer / No Liability Notice: This indicator is provided for educational and informational purposes only. It does not guarantee profits or predict future market movements. Trading financial instruments involves substantial risk of loss, and you should only trade with money you can afford to lose. By using this indicator, you acknowledge that you assume full responsibility for any trading decisions made based on its signals. The developer accepts no liability for any losses, damages, or financial consequences that may result from using this tool. Always perform your own analysis and consider consulting a licensed financial advisor before making trading decisions. Past performance is not indicative of future results.
Pine Script® インジケーター
Trading_biteの投稿
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Pine Script® インジケーター
BOSWavesの投稿
[Saga Trading] Liquidation Leverages ProThis indicator is designed to provide context on leverage-related market risk, not trading signals. Its purpose is to help traders visualize price areas where leveraged positions become vulnerable due to increased exposure, rather than to predict forced events. By mapping zones where leverage sensitivity increases, the script highlights areas of potential instability, where price reactions may accelerate due to risk management constraints, margin pressure, or position adjustment. These zones do not imply direction and should not be interpreted as targets. Instead, they offer risk awareness, helping traders assess where market movement may become less stable or more reactive. This tool is intended as a contextual risk-mapping indicator, allowing traders to better evaluate exposure when price approaches leverage-sensitive areas. It does not provide buy or sell signals and should be used in conjunction with price action and market structure analysis.
Pine Script® インジケーター
KevSagaTの投稿
Quant Labs Edge Filter (Community Edition)A market-structure filter designed to identify when no real edge exists. Edge Filter evaluates price location relative to structure to define market posture — long bias, short bias, or stand aside. It does not generate trade signals and is intentionally designed to reduce overtrading. Clear Posture States Near Highs — Short Bias Near Lows — Long Bias No Edge — Stand Aside When edge is absent, patience is the strategy. Why It Stands Out Most indicators encourage action. Edge Filter encourages restraint. Its purpose is to protect capital, attention, and decision quality by filtering out low-quality environments. Community Edition This version publishes the core logic openly for transparency and education. Private access versions may exist for traders seeking continuity and stewardship. Bottom Line Trade less. Trade better. Wait for edge. — QuantLabs
Pine Script® インジケーター
CustomQuantLabsの投稿
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index. This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection. It is designed as a context-building indicator, not a standalone entry system. What This Indicator Does This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements: 1. Adaptive RSI Visualization The core RSI is plotted with: Zone-based color changes (neutral, oversold, overbought) Optional glow effects to emphasize extreme conditions User-defined color intensity and midline visibility The goal is to provide clearer visual segmentation of trend strength and momentum behavior. 2. Custom Smoothing & Signal Line Options The indicator allows: Multi-layer smoothing for RSI stability An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA) This helps operators examine whether momentum is accelerating or stabilizing relative to its mean. 3. Overbought/Oversold Tools User-defined thresholds determine: Highlighted zones Optional markers for extreme reversals (based on RSI + momentum + velocity criteria) Midline (50) cross highlights for trend-bias transitions These features help contextualize where the RSI sits relative to broader momentum regimes. 4. Divergence Detection (Optional) When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure. It compares: Price making lower lows vs RSI making higher lows (bullish) Price making higher highs vs RSI making lower highs (bearish) Detected divergences are plotted on the RSI panel with visual labels. This detection uses pivot lookbacks and range limits defined by the user. 5. Alerts The indicator provides optional alerts for: Extreme reversals Overbought/oversold momentum shifts Midline (50) crossovers Bullish / bearish divergences Alerts are intended for monitoring, not for automated execution. How to Use It This RSI modification is intended to support broader analysis workflows, including: Identifying regime shifts using midline crosses Monitoring momentum structure across trend phases Highlighting oversold or overbought clustering Adding a visual signal line to interpret momentum smoothing Spotting divergence between price and RSI As with all indicators, this tool should be used as one component of a complete analysis framework. What Makes This Version Distinct This script maintains the core behavior of RSI but introduces: A multi-layer smoothing system Adaptive colors calibrated to oversold/neutral/overbought zones Optional glow visualizations A modular signal-line engine with multiple MA types Configurable divergence detection with visual labels Multiple marker placement modes for extreme conditions These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows. Important Notes This is an indicator, not a strategy. It does not execute trades or calculate performance metrics. The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems. Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
Pine Script® インジケーター
Hash_Capitalの投稿
2
StO Price Action - Panel US Economy DataShort Summary - Displays selected us economic data as a time series graph - Economic indicator name shown in the upper-right corner - Designed as a lightweight fundamental context overlay Full Description Overview - Plots economic macro data as a continuous graph - Combines visual trend context with clear textual identification Supported Economic Data - CPI – Consumer Price Index - CIR – Core Inflation Rate (YoY) - IRYY – Inflation Rate (YoY) - IJC – Initial Jobless Claims - JC4W – Jobless Claims (4-Week Average) - NFP – Nonfarm Payrolls - UR – Unemployment Rate Graph Behavior - Selected economic series is rendered as a line graph - Graph color is user-configurable Label Display - Full descriptive name of the selected indicator - Fixed position in the upper-right corner Usage - Helps identify macro trends alongside price action - Useful for bias alignment on higher timeframes - Works well with Trend-following Systems or higher-timeframe structure analysis Notes - Economic data is informational and non-predictive - Not a signal or timing tool - Best used as contextual background not standalone input
Pine Script® インジケーター
sto_svcの投稿
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex 🔍 Overview DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation. This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed. It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency. 🧠 Strategy Logic (How It Works) DkSPro follows a sequential decision process, not a single-indicator signal: Trend Bias (EMA Structure) A fast and slow EMA define the directional bias. Long trades are only allowed during bullish EMA alignment. Short trades are only allowed during bearish EMA alignment. This prevents counter-trend and ranging-market entries. Market Structure & Breakout Validation The strategy identifies recent swing highs and lows. Trades are triggered only after a confirmed breakout of structure, not during consolidation. This avoids early entries and false momentum moves. Volume Confirmation Volume must exceed its moving average by a defined multiplier. This ensures participation and filters out low-liquidity breakouts. Volume thresholds adapt depending on the selected trading mode. Momentum Confirmation (RSI) RSI is used strictly as a momentum filter, not as a standalone signal. It confirms that price movement aligns with the breakout direction. Risk Management (Mandatory) Every position includes a predefined Stop Loss and Take Profit. Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits. All conditions must align simultaneously; otherwise, no trade is executed. ⚙️ Trading Modes SAFE Mode Stronger volume and RSI thresholds Fewer trades, higher selectivity Designed for risk control and consistency AGGRESSIVE Mode Slightly relaxed filters Higher trade frequency during strong momentum Intended for experienced users only 📊 Markets & Assets This strategy has been actively used and tested on: 🟢 Crypto (Binance / Binance.US) SOL-USDT XRP-USDT Other high-liquidity pairs (BTC, ETH) Crypto mode benefits from stronger volume confirmation to adapt to higher volatility. 🔵 Forex Major pairs such as EURUSD, GBPUSD, USDJPY Optimized for liquid markets with lower relative volume The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class. ⏱ Recommended Timeframes Crypto: 5m – 15m Forex: 15m – 1H Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior. 🧪 Backtesting & Settings Transparency Default strategy properties are intentionally conservative to reflect realistic conditions: Initial capital: $20,000 Position size: 2% of equity Commission: 0.08% Slippage: 1 tick Fixed Stop Loss and Take Profit on every trade Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades). 📈 Originality & Usefulness DkSPro is not a simple indicator mashup. Each component serves a specific role in a layered confirmation system: EMAs define direction Structure defines timing Volume validates participation RSI confirms momentum Risk management controls exposure Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator. ⚠️ Important Notes This script is an analysis and execution tool, not financial advice. Market conditions change, and no strategy performs well in all environments. Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance. 🧩 Version Notice This publication represents a consolidated and refined version of an internal experimental script. No parallel or duplicate versions are intended. All future improvements will be released exclusively using TradingView’s Update feature. 🇪🇸 Descripción en Español (Resumen) DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo. Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar. Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Pine Script® ストラテジー
dksniewiedersの投稿
Adaptive Momentum Contextdaptive Momentum Context (AMC) Adaptive Momentum Context (AMC) is a single-panel, overlay indicator designed to help traders read market context, momentum behavior, and volatility-driven rhythm in a structured and non-misleading way. This indicator does not aim to predict future price movements. Instead, it focuses on describing current market conditions using adaptive smoothing and higher-timeframe bias. Concept Overview AMC is built around three core ideas: Higher Timeframe Context (Bias) Adaptive Market Rhythm Momentum Behavior within Context These components are combined to provide a clearer view of when momentum aligns with the broader market structure. Higher Timeframe Bias The indicator retrieves price data from a user-selected higher timeframe and compares it to a moving average on that timeframe. When higher timeframe price is above its average, the background is shaded green. When it is below, the background is shaded red. This background does not generate signals. Its purpose is to define directional context and reduce decision-making against dominant market conditions. Adaptive Market Rhythm Instead of using a fixed-length moving average, AMC calculates an adaptive smoothing length based on relative volatility. When volatility expands, the smoothing period increases. When volatility contracts, the smoothing period shortens. Because Pine Script does not allow dynamic lengths in built-in moving averages, the adaptive line is calculated manually using a recursive EMA formula. This ensures: No repainting No future data access Full Pine Script v6 compliance The adaptive line represents the current market rhythm, not a trend guarantee. Momentum Behavior Momentum is derived from changes in the adaptive rhythm rather than raw price. Small visual markers appear when: Momentum accelerates in the direction of the higher timeframe bias Momentum decelerates against that bias These markers are contextual cues, not standalone trade signals. How to Use AMC is best used as a context and filtering tool, not as a mechanical entry system. Possible use cases: Filtering lower-timeframe entries Avoiding trades against higher-timeframe structure Visualizing momentum shifts during pullbacks or continuations Users are encouraged to combine this indicator with their own risk management and execution rules. Important Notes This indicator does not provide performance guarantees. Past behavior does not imply future results. No lookahead, no repainting, or non-standard chart types are used. Default settings are intended for general use and may require adjustment depending on market and timeframe.
Pine Script® インジケーター
aionchartsの投稿
Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment. By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated. This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves. ⯁ CONCEPTS Dynamic Volatility Channel: Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition. Channel Segmentation: When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market. Embedded Volume Profile: Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range. Point of Control (PoC): The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line. Flow Bias (Bullish/Bearish): The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment. Breakout Labels: When a new channel is formed, arrows mark whether the breakout occurred upward or downward. ⯁ FEATURES Adaptive Trend Channel Construction Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise. Channel Visualization Options Choose to display full channel boxes or only trend lines using customizable styling. Real-Time Volume Profiling As long as the channel remains active, volume distribution is recalculated live on every bar. PoC Projection The PoC is drawn across the channel range, marking the highest-volume price level for each segment. Directional Delta Coloring Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel. Breakout Detection Arrows highlight each transition into a new channel regime. ⯁ HOW TO USE Spot trend changes using breakout arrows and the creation of new trend channels. Gauge strength of a channel by examining the density and shape of the internal volume profile. Use PoC levels as potential support/resistance interaction zones. Validate momentum by checking whether volume delta shows bullish or bearish dominance. Monitor channel edges to anticipate continuation or reversal setups. ⯁ CONCLUSION The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow. It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
Pine Script® インジケーター
ChartPrimeの投稿
18
The Strat - Multi-Timeframe Combo Analyzer## 📊 The Strat - Multi-Timeframe Combo Analyzer This open-source indicator implements **The Strat** methodology, a universal price action framework developed by Rob Smith (@RobInTheBlack). --- ### 🎯 What is The Strat? The Strat categorizes every candle into one of three scenarios based on its relationship to the previous bar: | Type | Name | Definition | |------|------|------------| | **1** | Inside Bar | High < Previous High AND Low > Previous Low | | **2** | Directional | Breaks only one side (2↑ = broke high, 2↓ = broke low) | | **3** | Outside Bar | Breaks BOTH previous high AND low | By tracking these bar types across timeframes, traders can identify actionable setups with defined entry triggers and target levels. --- ### ✨ Features **Daily Timeframe Analysis:** - Real-time 3-bar combo detection (2-1-2, 3-1-2, 1-2-2, etc.) - Pattern classification: Bullish/Bearish Continuation or Reversal - Entry and Target levels based on Strat rules - Pattern status: ACTIONABLE, IN-FORCE, TRIGGERED, or WATCHING **ATR Context:** - Range % used (how much of daily ATR has been consumed) - Entry quality assessment (Excellent → Exhausted) - Day type classification (Quiet → Trend Day) - Remaining range estimation **15-Minute Analysis:** - Separate combo tracking for intraday precision - Pattern detection on lower timeframe **Visuals:** - Customizable info tables - Entry/Target horizontal lines - Signal labels on chart - Alert conditions --- ### 🔧 How to Use 1. Look for **ACTIONABLE** patterns - these are setups waiting for a trigger 2. Entry triggers when price breaks the designated level 3. Target is the next logical Strat level (typically prior bar's high/low) 4. Use **Range%** to assess if there's room left in the daily range 5. Combine Daily and 15-Min combos for trade confluence --- ### ⚠️ Disclaimer This indicator is for **educational purposes only**. It does not constitute financial advice or guarantee profitable trades. Trading involves substantial risk of loss. Past performance is not indicative of future results. Always conduct your own research and trade responsibly. --- ### 🙏 Credits **The Strat** methodology was created by Rob Smith (@RobInTheBlack). This implementation is open-source. Feel free to study, modify, and improve the code!
Pine Script® インジケーター
StonkTrader4の投稿
3