Average

nikhil9011Daxton customised moving averages to check the trend which can be seen at a glance by anyone

Indicator

by asiaticbacktest

VASA EMA Ribbon vF A ribbon of exponential moving averages that tells you two things instantly: which way the trend is pointing, and how much conviction is behind it. When the bands fan apart and stack cleanly, the trend is strong. When they squeeze together, momentum is fading — often right before a turn or a range. What it does: • 2 to 8 stacked EMAs, spacing you control • Ribbon colours green in an uptrend, red in a downtrend • Highlights compression when the ribbon squeezes tight • Alerts on trend turn and on compression • Every EMA is calculated on closed values — non-repainting How to use: trade with the ribbon, not against it. A wide, rising green ribbon is trend-continuation territory; pullbacks into the ribbon can be entries in that direction. When the ribbon compresses and the amber shade appears, tighten up — the trend is running out of fuel and chop is common. Widen the spacing for swing trading, tighten it for intraday. Educational only — not financial advice. Trading involves substantial risk of loss.

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Macrodoser Moving Average Clouds Macrodoser MA Clouds is a configurable trend-visualization indicator that plots five independent moving-average clouds—ten moving averages in total—directly on the price chart. While moving-average clouds are a familiar concept, this implementation is designed to provide a more complete and flexible workspace in a single indicator. Its distinguishing feature is the combination of five separately configurable clouds, multiple moving-average types, optional direction-colored MA lines, customizable visuals, and deliberate cloud layering. HOW IT WORKS Each cloud consists of a short moving average and a long moving average calculated from the same selected price source. • When the short MA is greater than or equal to the long MA, the cloud uses its configured bullish color. • When the short MA is below the long MA, the cloud uses its configured bearish color. The optional MA lines have their own directional coloring. Each line uses its bullish color while rising and its bearish color while falling. This means the line colors represent the slope of each individual average, while the cloud color represents the relationship between the short and long averages. MOVING-AVERAGE OPTIONS Each cloud can independently use one of five calculation methods: • EMA — Exponential Moving Average • SMA — Simple Moving Average • HMA — Hull Moving Average • WMA — Weighted Moving Average • RMA — Running Moving Average This makes it possible to build an all-EMA ribbon, use a different MA type for each cloud, or create a custom combination for a particular market or trading style. DEFAULT CLOUDS The default configuration uses the closing price as the source and EMA calculations with the following short/long lengths: • Cloud 1: 5 / 13 • Cloud 2: 9 / 13 • Cloud 3: 21 / 50 • Cloud 4: 100 / 200 • Cloud 5: 400 / 800 These defaults provide several views of market structure, ranging from short-term momentum to much longer-term trend context. They are starting points only and can be changed to suit the instrument and timeframe being analyzed. CUSTOMIZATION Every cloud includes independent controls for: • Visibility • Short and long MA lengths • Price source • Moving-average type • Plot offset • MA-line visibility • Rising and falling colors for each MA line • Bullish and bearish cloud colors • Color transparency The MA lines can be hidden for a cleaner cloud-only chart or displayed when the exact averages and their individual directions are useful. PURPOSEFUL CLOUD LAYERING The clouds use a deliberate drawing order. Cloud 5 is drawn first at the bottom of the visual stack, followed by Clouds 4 through 1. Cloud 1 is therefore the top layer. When using the clouds from faster to slower, place the shortest-term pair in Cloud 1 and continue toward the longest-term pair in Cloud 5. This keeps faster clouds visible above slower clouds and produces more intuitive blending when transparent colors overlap. A different ordering can be used intentionally, but reversing this structure may allow a longer-term cloud to cover shorter-term information. WAYS TO USE IT The indicator can help visualize: • Short-, medium-, and long-term trend structure • Bullish or bearish alignment across several MA pairs • Changes in momentum as individual averages turn • Moving-average crossovers and cloud transitions • Compression, expansion, and overlap between trend horizons • Areas where different trend horizons agree or conflict For example, several bullish clouds stacked above their respective longer averages can indicate broad trend alignment. Mixed cloud states can highlight a transition or disagreement between short- and long-term structure. IMPORTANT LIMITATIONS Moving averages are lagging calculations derived from historical price data. They do not predict future price movement, and cloud transitions can produce false or rapidly changing indications in sideways or volatile markets. The current, unfinished chart bar can change as new price data arrives. Plot offsets move the display forward by the selected number of bars for visual purposes; they do not provide future information or change the underlying calculations. Macrodoser MA Clouds does not generate trade entries, exits, or performance claims. It is intended as a visual analysis tool and should be used with appropriate confirmation and risk management.

Indicator

Ribbon Concordance [RC Tools]RC Tools — Ribbon Concordance ───────────────────────────────────────────────────────────── █ OVERVIEW Most ribbon-of-moving-averages tools either average the ribbon or rely on simple crossovers. This one asks a different question: is the ribbon consistently ORDERED? A cleanly stacked ribbon signals real trend conviction; a tangled, crossing one signals chop — often before any single moving average has crossed another. █ WHAT IT DOES Plots a live moving-average ribbon directly on the price chart (choice of 7 MA types, up to 10 MAs), plus a rank-concordance score (-100 to +100) in its own pane. Classifies the ribbon into four bands — Strong Bullish, Weak Bullish, Weak Bearish, Strong Bearish — colours the chart background accordingly, and shows a table with the current band, how long price has been in it, and historical base rates (average forward return and win rate) for each band. █ THE THEORY BEHIND IT Ribbon tools usually throw away information about HOW consistently the ribbon is stacked, collapsing it to an average or a single crossover event. This tool instead measures rank concordance — a public, long-established statistical concept (related to Kendall's tau) that quantifies how well two orderings agree with each other. Applied to a moving-average ribbon: compare every pair of MAs, shorter-period against longer-period, and score whether their relative ordering is consistent with a clean trend. A ribbon where every shorter MA sits above every longer one (or below, for a downtrend) scores near the extreme; a tangled, crossing ribbon averages out near zero. This is a different statistical question than "is price above its moving average" or "how efficient was the recent price path" (see the Regime Classifier for that approach) — it is specifically about internal agreement across the whole ribbon at once. █ HOW IT IS CALCULATED 1. Build a ribbon of N moving averages (configurable type and count), with periods increasing linearly from a base period by a fixed spacing. 2. For every pair of MAs (i, j) where i has a shorter period than j: score +1 if MA > MA (bullish-consistent ordering), -1 if reversed, 0 if tied. 3. Sum all pair scores and normalise by the number of pairs compared, scaled to -100..+100. 4. Optionally EMA-smooth the raw score, which is otherwise a somewhat steppy pairwise count, for a cleaner read. Classification occurs ONLY on confirmed bar close — the band never flips mid-bar and reverses. The MA ribbon itself plots live, exactly like any moving average on any chart; that is normal behaviour, not repainting. Only the concordance score and its band classification are held to confirmed bars. █ SETTINGS & CONFIGURATION • Source, MA Type (SMA / EMA / WMA / RMA / HMA / DEMA / TEMA) • Base Period and Period Spacing — set the shortest MA and the gap between each successive one • Ribbon Size (3-10 MAs) — more MAs smooth the read but add lag from the longest one; fewer react faster but are noisier • Score Smoothing Length — EMA smoothing on the raw concordance score (set to 1 for none) • Strong Threshold — the score above which (or below its negative) a band counts as "Strong" rather than "Weak" • Forward Return Window — the horizon used for the base-rate table • Show MA Ribbon on Chart — toggle the ribbon overlay off if you only want the concordance pane • Ribbon gradient colours (short end / long end) and band colours are fully configurable █ HOW TO USE IT Use it as a trend-conviction filter alongside your existing process. Strong Bullish/Bearish bands indicate a cleanly stacked ribbon — a higher-conviction environment for trend-following approaches. Weak bands, or frequent flips between Weak Bullish and Weak Bearish, indicate the ribbon is loosely ordered — more caution warranted for trend-following, and potentially a more favourable environment for mean-reversion approaches instead. Check the base-rate table's sample count before assuming any one band is systematically favourable. Works on any asset and timeframe; ribbon size and spacing should be tuned to the timeframe you trade (a wide, long-spaced ribbon on a low timeframe will lag heavily). █ LIMITATIONS • This is a ribbon of moving averages — inherently lagging by construction. It confirms alignment after price has already moved, and this cannot be removed without curve-fitting. • Near-zero or Weak readings are common in choppy, range-bound conditions and do NOT predict a breakout direction — they only describe the ribbon's current state of (dis)agreement. • Ribbon size is a real trade-off: more MAs smooth the read but add lag from the longest included MA; fewer MAs react faster but are noisier. • The concordance score and band update on confirmed bar close only. The ribbon MA lines themselves plot live, like any moving average — that is normal behaviour, not repainting. • Historical base-rate stats need a meaningful sample count (check N) before being trusted, especially for less common bands. • Four bands are a deliberate simplification of a continuous reality. Markets do not actually occupy discrete states. █ DISCLAIMER For educational and informational purposes only. Nothing here is financial advice. Past behaviour of any band does not indicate future results. Trade at your own risk.

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Average Top / Bottom Channels This script is designed to simplify price action by creating an average top and average bottom channel around the market. Instead of focusing on every candle, wick, and short-term price fluctuation, the indicator calculates recent swing highs and swing lows, averages them, and displays a clean visual range where price is moving over time. The upper line represents the average of recent price tops, while the lower line represents the average of recent price bottoms. The area between them acts like a simplified trend channel, helping identify whether price is moving higher, lower, sideways, or stretching outside its normal range. My preferred way to use this script is to hide the regular price chart after adding the indicator. This removes visual noise from the candles and makes it easier to focus on the overall direction, structure, and trend behavior. After that, I adjust the settings to fit the market and timeframe I am viewing. Lower sensitivity settings make the channel react faster to recent price movement, while higher sensitivity settings create a smoother channel for broader trend analysis. The goal is not to predict every candle, but to simplify the chart so the larger trend and average price range become easier to see.

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Multiple SMAs/EMAs Multi.MA displays up to 9 configurable moving averages, with automatic HighTimeFrame/LowTimeFrame logic that adapts the visible MAs based on the chart timeframe.

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EMA Edge - Multi-EMA Backtest Table with Golden/Death Cross EMA Edge — Multi-EMA Backtest Table with Golden/Death Cross A clean, all-in-one performance dashboard that backtests 6 long-only strategies side-by-side against a Buy & Hold benchmark — 5 single-EMA crossover strategies plus a classic Golden Cross / Death Cross strategy — with on-chart cross markers and built-in alerts. Instead of guessing which EMA length works best for a given stock or timeframe, this indicator runs the math for you and shows the answer in a single glance, ranked against simply holding the asset. What It Does For each of 5 user-defined EMA lengths, the indicator simulates a simple long-only strategy: Buy when price closes above the EMA (when flat) Sell when price closes below the EMA (when long) Equity starts at 100 and compounds across trades using the close-to-close return of each trade A 6th strategy row tests the classic Golden/Death Cross: Buy when the fast EMA crosses above the slow EMA (Golden Cross) Sell when the fast EMA crosses below the slow EMA (Death Cross) Special first-bar handling: if the fast EMA is already above the slow EMA at the start of your backtest window (i.e., we're mid-trend with no fresh Golden Cross to wait for), the strategy enters immediately at that bar's opening price. This avoids the unrealistic outcome of sitting in cash for years waiting for a cross that already happened. All strategies are compared against a Buy & Hold baseline that starts at the close of the first in-range bar. If a position is open at the last bar, its equity is marked-to-market so every strategy is compared on equal terms — fully invested vs. partially invested at the cutoff. Features 5 configurable EMAs — defaults 9 / 21 / 50 / 100 / 200, fully editable Golden/Death Cross strategy — uses independent fast/slow EMA inputs (default 50 / 200) Performance table showing Return %, delta vs. Buy & Hold, and Outperform / Underperform status per strategy Flexible backtest window — X weeks, X years, or full chart lifetime On-chart GC / DC markers with optional subtle background tint on cross bars Built-in alerts for both Golden Cross and Death Cross events Fully customizable table — 9 position options, 6 text sizes, all colors exposed as inputs Soft, light color palette designed not to dominate the chart Optional EMA plotting (off by default to keep the chart clean) How To Read The Table ColumnMeaningStrategyThe rule being testedReturnTotal % return of the strategy over the chosen windowVs StockDifference between the strategy's return and Buy & HoldStatus▲ Outperform if the strategy beat Buy & Hold, ▼ Underperform if not Green-tinted rows = strategy beat Buy & Hold Red-tinted rows = strategy underperformed Buy & Hold Cream row = the Buy & Hold baseline itself How To Use Add the indicator to any chart — works on stocks, ETFs, crypto, forex, any timeframe. Choose your backtest window (e.g., 1 Year, 5 Years, or Lifetime). Scan the table to see which strategy historically beat Buy & Hold on this asset. Use the on-chart GC / DC labels to spot historical and live cross events. Right-click any marker → Add Alert to be notified on new crosses. Tip: Test the same EMA lengths across daily and weekly timeframes and across different assets. You'll usually find that what works on a steady index like SPY does not work on a volatile single stock, and vice versa. That's the entire point of the table — to make those differences visible instead of assumed. Key Inputs EMA 1–5: Lengths for the 5 single-EMA strategies Show EMAs: Plot EMAs on chart (off by default) Use Lifetime Performance: Backtest from the very first bar instead of a fixed window Performance Timeframe Type / Value: Weeks or Years lookback Crosses group: Toggle GC/DC display, set fast/slow EMA lengths, customize colors Table Style group: Position, text size, background and text colors Notes & Limitations All strategies are long-only — no shorts, no leverage, no stops, no commissions, no slippage. This is a clean rule-based comparison, not a turnkey trading system. Live results will differ. Entries and exits use close prices, except for the GC/DC strategy's first-bar entry when already in a golden state, which uses open. Open positions at the last bar are marked-to-market so the comparison vs. Buy & Hold is apples-to-apples. Past performance is not indicative of future results. Use this as a research and screening tool. The GC/DC strategy uses separate EMA lengths from the 5 table EMAs by design, so you can run 9/21/50/100/200 in the table while still testing the classic 50/200 cross. Alerts Available Golden Cross: Fast EMA crossed above Slow EMA Death Cross: Fast EMA crossed below Slow EMA If you find this useful, a boost is appreciated. Suggestions and feedback welcome in the comments. Open-source — feel free to study, fork, and adapt.

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VWAP Control Shift Map [AGPro Series]VWAP Control Shift Map 🧠 Core Idea Has VWAP control shifted from mean reversion to directional acceptance? 📌 Overview / What it does VWAP Control Shift Map is a VWAP control and acceptance visualization tool built to identify when price is balanced around value, accepted above control, accepted below control, or rejected back into the VWAP band. The script builds a rolling volume-weighted control line, maps a VWAP control band, labels acceptance and rejection events, and summarizes the current VWAP state in a compact AG Pro panel. This script does not predict future price direction, automate trades, or provide guaranteed buy/sell signals. It is a structured decision-support map for VWAP control, acceptance quality, mean-reversion risk, and shift context. 🎯 Purpose & Design Philosophy VWAP is one of the most watched value references across intraday and swing trading contexts. The problem is that price can cross VWAP many times without meaningful control transfer. This script was built to separate casual VWAP interaction from stronger acceptance, rejection, and reversion behavior. The design philosophy is to make VWAP context visually readable: where control sits, which side is accepted, whether reversion risk is rising, and whether the shift has quality. ⚡ Why This Script Is Different Most VWAP tools plot a line, add bands, and leave interpretation entirely to the user. This script does NOT simply mark every VWAP touch as important and does NOT treat every cross as a trend signal. Instead, it frames VWAP as a control zone: acceptance above, acceptance below, rejection back into value, and mean-reversion risk are all organized into one visual map. ⚙️ Methodology 1. VWAP Control Detection The script calculates a rolling volume-weighted control line using price and volume over the selected control window. 2. Control Band Mapping It builds a volatility-adjusted band around VWAP to represent the current value-control area. 3. Acceptance Evaluation Consecutive closes outside the band are used to identify directional acceptance. 4. Rejection Evaluation If price returns into the band after a shift, the script marks VWAP rejection behavior. 5. Visual Output The chart displays the VWAP control line, bordered control zone, centered band label, event labels, right-side state tags, and AG Pro panel. 🗺️ How to Read the Chart The VWAP control line represents the rolling volume-weighted value reference. The control band represents the active VWAP acceptance area. Labels mark acceptance, rejection, and mean-reversion events. Right-side tags show the current control state and shift quality. The panel summarizes VWAP control, acceptance state, control side, reversion risk, shift quality, control band, and next context. 🚦 Signals & States • VWAP BALANCE → price has not established a clear accepted side • ACCEPT ABOVE → price has accepted above the VWAP control band • ACCEPT BELOW → price has accepted below the VWAP control band • VWAP REJECTION → a control shift returned back into the band • REVERSION RISK → price is back inside the band after a directional control state 🔔 Alerts Logic VWAP Control Shift Up alert triggers when price accepts above the VWAP control band. VWAP Control Shift Down alert triggers when price accepts below the VWAP control band. VWAP Rejection alert triggers when price returns back into the band after a control shift. Alerts are attention markers. They are not trade instructions. 🧩 Confluence Logic The context becomes stronger when acceptance direction, VWAP slope, distance from VWAP, and candle body pressure align. The context becomes weaker when price quickly returns into the control band after an attempted shift. 📊 When to Use • VWAP-based intraday analysis • Swing charts where volume-weighted value remains relevant • Mean-reversion versus directional acceptance decisions • Markets with liquid volume and clean price structure • Trend continuation or failed acceptance review ⚠️ When NOT to Use • Very illiquid symbols • Markets with unreliable volume • Extremely noisy low-timeframe charts • News shock environments where VWAP control changes abruptly • Any context where a single indicator is being used without broader structure 🎛️ Key Inputs • VWAP Control Length → controls the rolling volume-weighted control window • Band Volatility Length → controls how the band width is calculated • Control Band Multiplier → adjusts VWAP control band width • Acceptance Bars → defines how many closes are needed for acceptance • Rejection Window → controls failed-shift timing • Visual settings → control the panel, zone, labels, font sizes, and projection 🖥️ Interface & Visual Design The interface is designed for clean, premium chart reading. The VWAP band uses visible four-edge zone boundaries so the control area remains clear in both editor and published PulseWire views. The panel uses the AG Pro merged blue header standard and keeps the current context readable without covering the main chart. 🧪 Practical Usage Workflow 1. Read the panel state. 2. Check whether price is inside, above, or below the VWAP control band. 3. Review acceptance or rejection labels. 4. Compare shift quality with reversion risk. 5. Use broader market structure before making any decision. 🔍 Interpretation Guidelines VWAP control is not a prediction. Acceptance shows where price has spent enough time outside the control band to suggest directional control. Rejection shows that the attempted control shift returned back toward value. Mean-reversion risk increases when price moves back into the VWAP control area after directional acceptance. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not guarantee profitable trades. It does not replace risk management or independent analysis. ⚠️ Limitations & Transparency VWAP behavior can vary by timeframe, market session, liquidity, and volume quality. Rolling VWAP control may differ from exchange-session VWAP or anchored VWAP tools. Extreme volatility can temporarily reduce the usefulness of control-band interpretation. Outputs should always be interpreted within broader market context. 🧠 Market Context Notes VWAP often works as a value reference, but value can shift when acceptance becomes persistent. A clean control shift is stronger when price accepts outside the band while VWAP slope supports the move. A weak shift often returns back into the band and becomes a rejection or mean-reversion context. 🧾 Use Case Examples When price accepts above the VWAP control band with strong shift quality, the chart may be showing directional control above value. When price accepts below the band and VWAP turns down, the control context may favor downside acceptance. When price quickly returns into the band after acceptance, VWAP rejection risk becomes more important. 🧱 System Philosophy AGPro Series tools are built to convert complex market behavior into visual decision maps. The goal is not certainty. The goal is structured context, cleaner interpretation, and better chart discipline. 🔐 Non-Promise Statement No script can know the future. No signal is certain. No visual state should be treated as a guaranteed outcome. 📉 Risk Disclosure Trading involves risk. Markets can move unexpectedly. Users are responsible for their own decisions, risk management, and trade execution. This script does not provide financial advice. 📚 Educational Note This tool is intended for educational and analytical use. It can help traders study VWAP control, acceptance shifts, rejection behavior, and mean-reversion risk.

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Pymander's MA Suite Pymander's MA Suite is a versatile and all-in-one toolkit designed to give you total control over your trend analysis. Whether you’re a scalper looking for quick crossovers or a swing trader tracking long-term trends, this suite is built to be the only moving average indicator you’ll ever need. What makes it unique? Unlike standard MA ribbons that lock you into one type of calculation, EZ MA Suite gives you 5 fully independent slots. You can mix and match different lengths, sources, and—most importantly—12 different MA types in a single indicator. We’ve also cleaned up the visuals with "premium" signal placement and modern icons so your chart stays professional and clutter-free. The Powerhouse MA Selection You have access to a massive library of moving averages to fit any strategy: The Classics: SMA, EMA, WMA, RMA, VWMA. The Smooth & Fast: HMA (Hull), ALMA (Arnaud Legoux), and LSMA (Least Squares). The Lag-Killers: DEMA (Double), TEMA (Triple), and ZLEMA (Zero Lag). The Adaptive: KAMA (Kaufman), which adjusts itself based on market noise! Stay on the Right Side of the Move We’ve integrated a smart Buy/Sell Signal engine based on crossovers. You simply pick which of your 5 MAs is the "Fast" one and which is the "Slow" one. But here’s the game-changer: The Trend Filter. To help you avoid "choppy" fakeouts, you can enable a trend filter using a third MA (like a 200 SMA). When active, the suite will only show Buy signals if you're in an uptrend and Sell signals if you're in a downtrend. It’s all about keeping you aligned with the "big money" flow! 💬 We want to hear from you! I built this to make our trading lives easier, but I’d love to know how you’re using it. Do you have a favorite MA combination? Is there a specific feature you’d like to see next? Drop your feedback and let’s keep improving this suite together! Wishing you all lots of luck and many, many green days!! — Pymander

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Adaptive Momentum Velocity Ribbon 🔶 OVERVIEW Risk management is the backbone of successful trading, but static trailing stops often fail to account for the "momentum" of a move. The Kinetic Trailing Stop & Targets is an adaptive volatility-based system designed to breathe with the market. Unlike standard ATR trailing stops that move at a fixed distance, this indicator uses a "kinetic" engine. It calculates the relationship between price momentum and current volatility to determine how aggressively the stop should follow price. When momentum is high, the stop "tightens" to protect profits; during quiet periods, it expands to avoid being "stopped out" by minor noise. 🔶 THE KINETIC ENGINE: HOW IT WORKS The indicator relies on a multi-layered calculation to determine the stop-loss placement: Dynamic Volatility Ratio: The tool tracks the current ATR relative to its 50-bar high. This creates a "Volatility Ratio" that dictates the width of the buffer. Momentum-Responsive Stepping: The stop doesn't just trail; it "steps." If the price makes a significant move (measured by a Momentum Score), the stop reacts kinetically, jumping closer to price to lock in gains. The Guard Distance: To prevent the stop from becoming too tight and causing "premature exits," a minimum Guard Distance is maintained, ensuring price always has a statistically significant "air gap" to fluctuate within. 🔶 AUTOMATED TARGET MILESTONES A standout feature of this tool is the Target Level System . The moment a trend flips (indicated by the diamond shapes), the indicator marks that price as the "Trend Origin." Fixed Percentage Scaling: The indicator projects horizontal milestones (e.g., +2%, +4%, +6%) from the origin point. Historical Milestone Logging: When price hits a target, a dashed line and label are permanently fixed to the chart, allowing you to see exactly where profit-taking opportunities occurred. Active Target Tracking: The dashboard displays the next upcoming target and exactly what percentage "distance" remains until it is hit. 🔶 VISUAL FEATURES Trend-Colored Candles: The entire chart's aesthetic shifts based on the trend. Bullish trends are painted in teal/green, while bearish trends shift to pink/red. Flip Diamonds: High-visibility markers appear the moment a trend reversal is confirmed, signaling a shift in the stop-loss orientation. Dynamic Cloud Fill: A gradient fill between the price and the stop line provides a visual representation of the "risk zone." 🔶 INDICATOR SETTINGS ATR Smoothing Length: Adjusts the lookback for volatility. Longer lengths result in a smoother, slower-moving stop. Sensitivity: Controls the "Kinetic" response. Higher sensitivity makes the stop jump more aggressively during momentum spikes. Band Multiplier & Guard Distance: These two settings define the "outer" and "inner" limits of your stop-loss width. Level Spacing (%): Set the distance between your target milestones (e.g., set to 1.0 for every 1% move). 🔶 TRADING UTILITY Trend Following: Use the Kinetic Stop to ride long-term trends without getting shaken out by volatility spikes. Scaling Out: Use the automated Target Levels as objective signals to scale out of a position (e.g., close 25% of the trade at each milestone). Volatility Filter: By observing the distance between the price and the stop, you can visualize "volatility expansion"—if the gap is widening, the market is becoming more chaotic. 🔶 CONCLUSION The Kinetic Trailing Stop & Targets is a professional-grade risk management suite. By combining momentum-aware trailing logic with fixed percentage targets, it provides traders with a clear, objective roadmap for both staying in a trade and knowing exactly when to exit.

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Hull MA Trend Zones [AGPro Series]Hull MA Trend Zones 📌 Overview Hull MA Trend Zones is a premium HMA trend overlay built for traders who want a cleaner way to read Hull Moving Average direction, slope quality, and pullback behavior. The script is centered on one clear idea: a strong HMA trend should not only move above or below a moving average; it should show measurable slope, orderly ribbon structure, and controlled pullback behavior around the active HMA path. Instead of presenting a crowded moving average wall, the script uses a focused three-line HMA structure, a subtle pullback band, and concept-native trend zones that are tied directly to the active Hull MA state. ⚙️ How It Works The engine calculates a fast HMA, an anchor HMA, and a slow HMA. The anchor HMA is the main decision line. Its slope is normalized with ATR so the script can judge whether the current Hull MA movement is weak, transitional, or directional. The ribbon structure then checks whether the fast, anchor, and slow HMA lines are aligned. This separates clean trend movement from mixed or unstable movement. Finally, the pullback layer evaluates whether price is extending away from the HMA, testing the HMA zone, holding the HMA zone, rejecting from the HMA zone, or failing the active trend path. 🧭 What The Script Shows - HMA ribbon for clean trend direction. - ATR-based HMA pullback band around the anchor HMA. - Rectangular HMA slope zones created from active directional states. - Confirmed, quality-gated Bull Turn and Bear Turn labels. - Optional Hold and Reject labels for pullback events. - A compact AGPro panel with HMA State, Slope Strength, Pullback Status, and Quality Score. 📊 AGPro Panel The panel is designed for fast scanning without taking over the chart. HMA State shows whether the active read is bullish, bearish, transitional, or neutral. Slope Strength converts the anchor HMA slope into a clear percentage-style reading. Pullback Status explains whether price is extending, testing, holding, rejecting, or failing the HMA trend zone. Quality Score combines slope strength, ribbon alignment, and pullback behavior into a single 0-100 reading. 🎯 What Makes It Different Hull MA Trend Zones is not a generic moving average ribbon, not a ribbon compression map, and not a broad support/resistance tool. Its focus is narrower and more practical: HMA slope, HMA trend-zone behavior, and pullback-to-HMA quality. The rectangular zones are not drawn as generic support or resistance. They are HMA slope zones created from the active trend state and the ATR-sized HMA pullback area. This keeps the script visually useful while avoiding overlap with broader zone, corridor, or compression-style indicators. The default visual design is intentionally restrained. Pullback labels are optional, turn labels require confirmation and a minimum quality score, and old zones are capped so the chart keeps a cleaner premium look on both intraday and higher-timeframe charts. 🔧 Key Settings Fast HMA Length controls the responsive side of the ribbon. Anchor HMA Length controls the main trend path, slope state, pullback band, and panel logic. Slow HMA Length helps identify whether the HMA ribbon is aligned or still transitional. Slope Lookback and Trend Slope Threshold control how selective the HMA state engine is. Zone Width ATR controls the height of the HMA pullback band and slope-zone area. Zone Forward Bars controls how far the active slope zone projects while the same trend state remains valid. Turn Confirmation and Minimum Turn Label Score control how selective the default turn labels are. Label Cooldown Bars, Max Visible Labels, and Label Offset ATR keep chart density suitable for publication-quality screenshots. Panel Location, Panel Theme, Label Font Size, and Panel Font Size are adjustable. ✅ Suggested Use Use Hull MA Trend Zones to study trend continuation, Hull MA pullback quality, HMA slope transitions, and cleaner moving-average trend behavior. It is especially useful when you want an HMA-focused overlay that remains readable on active charts and avoids the clutter of large multi-average systems. The script is designed as a public-free AGPro Series tool with a clean visual identity, a focused HMA concept, and a PulseWire-safe publication structure.

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VWAP Cross Flow Engine [AGPro Series]VWAP Cross Flow Engine 🔹 OVERVIEW VWAP Cross Flow Engine is a precision scoring system for price-to-VWAP crossovers. Instead of treating every VWAP cross as a binary signal, this indicator measures the QUALITY of each crossover event in real time using a weighted composite score derived from momentum, volume expansion and optional sigma-band confluence. The engine is designed for intraday scalpers and swing traders who rely on VWAP as a dynamic equilibrium reference and need a structured way to separate high- conviction continuation crosses from low-quality noise flips. The script plots an anchored Volume-Weighted Average Price line with optional volume-weighted standard-deviation bands, detects every price/VWAP crossover event, scores each one on a 0–100 scale and visualizes the result through compact X markers, directional bar coloring, a retrospective quality dashboard and a dynamic bias zone anchored on the strongest crosses. 🔸 UNIQUE EDGE Most VWAP-based tools stop at plotting the line and marking raw crossovers. VWAP Cross Flow Engine adds a multi-factor quality layer on top of the crossover itself: • Every cross receives a composite score, not a pass/fail flag • Momentum sub-score derived from RSI distance from 50 at cross bar • Volume sub-score derived from current volume vs SMA baseline • Optional confluence bonus when cross occurs beyond 2-sigma envelope • Retrospective follow-through measurement in ATR units • Session-aware counters with automatic daily-vs-higher-timeframe label switching • ATR-based cooldown filter that prevents label overlap on any timeframe, not just bar-count cooldowns that fail on daily charts The combination of live scoring + retrospective success tracking in a single panel is the core differentiator. It allows the trader to both filter new crosses and study the historical reliability of VWAP cross behavior on any symbol and timeframe. 🔷 METHODOLOGY 1. VWAP CALCULATION Volume-weighted average of HLC3 (configurable) anchored to the Session, Week or Month boundary. Cumulative price*volume and cumulative volume series are reset at every anchor change. 2. SIGMA BANDS (optional) Volume-weighted variance computed as E − E ² where X is the source price weighted by volume. Square root produces the true volume-weighted standard deviation. 1σ and 2σ envelopes are drawn around the VWAP line. 3. CROSS DETECTION Standard ta.crossover / ta.crossunder between close and VWAP. 4. QUALITY SCORING • Momentum sub-score: |RSI(14) − 50|, scaled to 0–40 range • Volume sub-score: volume / SMA(20), capped at 3x, scaled 0–30 • Confluence bonus: +5 if prior bar touched the opposing 2σ band • Total live score (max 70 or 75) is rescaled to 0–100 5. COOLDOWN FILTER A new cross is only plotted if BOTH conditions are met: • At least N bars since the last plotted cross • At least K × ATR price distance from the last plotted cross 6. FOLLOW-THROUGH TRACKING Each cross is stored with its direction, price and ATR at the time of the event. After N bars, the displacement (in the cross direction) is measured. Success rate and average follow-through in ATR units are maintained inside a rolling lookback window. 7. QUALITY ZONE A rectangle zone (0.8 × ATR tall by default, 60 bars long) is drawn at every strong cross (score ≥ 70). The zone acts as a dynamic bias area anchored on high-conviction VWAP interactions. 🔶 SIGNALS & ALERTS The indicator fires five distinct alert conditions: 1. High-Quality VWAP Cross Up — bullish cross above the min quality threshold with cooldown satisfied. 2. High-Quality VWAP Cross Down — bearish cross above the min quality threshold with cooldown satisfied. 3. Strong VWAP Cross (≥70) — score 70 or higher; anchors a new quality zone. 4. Price Reached +2σ Band — price extended to the upper sigma band (optional, requires bands enabled). 5. Price Reached −2σ Band — price extended to the lower sigma band (optional, requires bands enabled). 🔹 KEY INPUTS VWAP Reference • Source — price series used for VWAP (default HLC3) • Anchor Type — Session / Week / Month • Show VWAP Line Sigma Bands • Show Sigma Bands (default OFF) • Inner Band Multiplier (default 1.0) • Outer Band Multiplier (default 2.0) Quality Engine • Momentum (RSI) Length • Volume Average Length • Follow-Through Bars • ATR Length • Min Quality To Plot (default 50) • Use Sigma Confluence Bonus • Cooldown — Minimum Bars (default 5) • Cooldown — Minimum ATR Distance (default 0.5) Visuals • Show Cross X Labels • Show Target Projection (default OFF) • Show Quality Zone • Quality Zone Height (ATR) / Length (Bars) • Color Bars By Cross Strength • Auto Label Size (upscale on 1D+) Panel • Show Dashboard Panel • Panel Position (6 positions) • Panel Theme (Dark / Light) • Panel Font Size • Success Rate Lookback Bars 🔸 HOW TO USE • INTRADAY SCALPING — use Session anchor on 5m–1h charts. Focus on crosses scoring 70 or higher. The quality zone becomes a short-term bias area: price holding above a bull zone mid-line tends to favor continuation, breaks back through the mid-line tend to indicate weakening conviction. • SWING BIAS — use Week or Month anchor on 4h and daily charts. Treat strong crosses as potential regime-shift events. Monitor the Success Rate metric to calibrate expectations for the current market and instrument. • MEAN-REVERSION — enable sigma bands and confluence bonus. Crosses that form after a 2σ stretch tend to score higher and mark statistically meaningful reversal attempts. • FILTER CALIBRATION — raise Min Quality To Plot to 60 or 70 for high-selectivity environments; lower to 40 for noisier instruments where you want earlier confirmation. The dashboard gives at-a-glance context: how many crosses have fired this session, how many were strong, what the historical win rate looks like in the current lookback window, the average ATR-normalized follow-through, and whether price is currently above or below VWAP. 🔷 LIMITATIONS & TRANSPARENCY • This is NOT a strategy and does not generate buy/sell orders. • Score is a quality filter, not a directional prediction. A high- score cross still carries market risk and can fail. • Follow-through statistics depend on lookback window size and timeframe; adjust Success Rate Lookback to match your trading horizon. • Sigma bands require a reliable volume feed. On low-liquidity instruments the bands may be noisy or meaningless. • Anchored VWAP resets at each new anchor (Session / Week / Month); early-in-anchor values use fewer samples and are less stable. • The indicator repaints only within the cross bar itself (like any crossover detector). Once a bar closes, the plotted cross and its score are fixed. 🔶 RISK DISCLOSURE This script is a technical analysis tool intended for educational and analytical purposes. It does not constitute financial advice, investment advice or a recommendation to buy or sell any asset. Trading financial markets involves substantial risk of loss. Past performance of any indicator is not indicative of future results. Users are fully responsible for their own trading decisions and should combine this tool with independent analysis and proper risk management.

Indicator

AG Pro Moving Average Ribbon Stress Meter [AGPro Series]AG Pro Moving Average Ribbon Stress Meter Overview / What It Does This indicator is designed to read the internal condition of a moving-average ribbon rather than treating the ribbon as a simple trend overlay. Instead of asking only whether the ribbon is bullish or bearish, it asks a different question: is the ribbon structurally calm, starting to load, becoming strained, or losing internal order. The script builds a six-line moving-average ribbon, measures how those averages interact with each other, and converts that interaction into a stress framework. The result is a visual map that helps show whether the ribbon is organized, stretched, unstable, or resetting after stress. In practical terms, the script is built to help users evaluate ribbon quality, internal synchronization, and the degree of structural pressure inside the moving-average stack. It is not intended to forecast future prices, call tops or bottoms, or replace broader market analysis. Its purpose is to organize what the ribbon is doing now and how stable or unstable that structure appears to be. The chart output combines multiple layers: the ribbon itself, a central stress spine, edge bands, optional stress aura, event labels, and a compact status panel. Together, these elements aim to make the ribbon easier to interpret without requiring the user to manually inspect every moving average line on every bar. Unique Edge Many ribbon-style tools focus on directional bias, crossovers, or broad expansion and contraction. This script focuses on internal ribbon stress. Its main distinction is that it does not treat all ribbon trends as equal. A ribbon can be rising while still carrying internal disagreement. A ribbon can also look compressed or visually clean while underlying alignment, slope behavior, width dynamics, or price stretch are beginning to deteriorate. This script is built to surface those conditions. The goal is not to reduce the market to a single signal. The goal is to provide a structured visual read on whether the moving-average stack is operating in a calm state, a loaded state, a strained state, or a more unstable condition. That makes it more useful as a workflow tool than as a simple trend-colour overlay. Another point of differentiation is presentation. The script uses a ribbon-focused visual design so that the user can read internal condition directly from the chart. Focus modes, theme presets, stress spine layering, and a compact panel are included to keep the display informative without turning the chart into a dense dashboard. Methodology The script evaluates ribbon condition through five stress components. 1) Order Stress This measures whether the moving averages are stacked cleanly or whether their order is becoming mixed. Lower stress suggests cleaner structural order. Higher stress suggests more internal disorder. 2) Slope Dispersion Stress This evaluates how consistently the moving averages are sloping together. When the ribbon lines are moving with similar directional agreement, synchronization is stronger. When their slopes diverge, internal stress rises. 3) Width Instability Stress This tracks whether the ribbon width is behaving in a stable or unstable way. A ribbon can widen in an orderly way or in a more erratic way. This component attempts to distinguish between those conditions. 4) Curvature Stress This evaluates bending in the ribbon core. Strong changes in ribbon curvature may indicate increasing internal pressure or transition. 5) Price Stretch Stress This measures how far price is moving from the ribbon core relative to ribbon width and ATR-based normalization. This is not a directional claim. It is a structure-based distance measure. These components are weighted and blended into a smoothed Stress Score. That score then feeds the state engine. Primary states include Calm, Loaded, Strained, Critical, Fractured, and Recovery. The panel and visual styling use those states to summarize the ribbon condition at the current bar. Signals & Alerts This script is built around state transitions and structural events rather than buy/sell promises. Depending on settings, users may see event labels and alerts such as: Stress Build Shows that stress has crossed into an early loading phase. Strained Shows that the ribbon has moved into a more stressed internal state. Critical Load Highlights a higher-pressure condition where instability has become more meaningful. Ribbon Fracture Marks a stronger structural failure condition when stress and ribbon order deterioration align. Stress Reset Shows that a previously elevated stress condition has cooled enough to register recovery. Order Restored Highlights improvement in ribbon order after disorder had been present. These events are not trade instructions. They are context markers intended to help users track shifts in ribbon condition. Alerts should be interpreted together with market structure, timeframe context, volatility, and personal risk management. Key Inputs Source and MA Type The ribbon can be built from different moving-average types and data sources. Ribbon Lengths Users can define the six ribbon lengths to fit their preferred structure and timeframe. Stress Engine Inputs ATR length, slope lookback, width lookback, curvature lookback, smoothing, and component references allow users to calibrate how sensitive the stress model should be. Weights The script includes separate weights for order stress, slope dispersion, width instability, curvature stress, and price stretch stress. Thresholds Loaded, Strained, Critical, and Fracture thresholds can be adjusted for tighter or looser state transitions. Theme Presets and Focus Mode Theme presets and focus modes allow the ribbon to be displayed in different visual styles while preserving the same logic. Events and Panel Users can control label density, label spacing, marker visibility, and panel position. Limitations & Transparency This script is an interpretation framework built around moving-average relationships. It does not know future price movement, and it does not claim certainty. Like any model built on smoothed market data, it will react more slowly in some environments and may produce fewer useful transitions in others. Different assets and timeframes can produce different ribbon personalities. A threshold or weight set that feels balanced on one market may feel too sensitive or too quiet on another. Users should expect to adapt settings if they move between instruments with very different volatility or trend behavior. The stress model is also deliberately selective. It does not try to label every fluctuation or classify every candle. Its purpose is to organize ribbon condition, not to describe every possible market state. This indicator should also not be confused with a complete trading plan. It does not define entries, exits, position sizing, or account risk. It is best used as a structural context tool inside a broader workflow. Risk Disclosure This script is for chart analysis and educational use. It is not financial advice, investment advice, or a promise of outcome. No indicator can guarantee performance, remove risk, or eliminate false readings. Market conditions change, correlations shift, and trend behavior can weaken or reverse without warning. Any decision taken from this script should be made within a broader framework that includes price structure, liquidity, volatility, timeframe alignment, and risk control. Users are responsible for testing settings, understanding the limitations of moving-average tools, and deciding whether the information produced by the script fits their own process.

Indicator

AG Pro KAMA Efficiency Zones [AGPro Series]AG Pro KAMA Efficiency Zones Overview KAMA stands for Kaufman’s Adaptive Moving Average. AG Pro KAMA Efficiency Zones is built around KAMA not as a simple trend-following line, but as an adaptive market reference for evaluating how efficiently price is moving. Instead of focusing only on direction, the script is designed to classify the quality of directional travel and separate cleaner movement from noisier, lower-clarity conditions. The core idea is straightforward: markets do not move with the same quality all the time. Some phases show relatively efficient directional travel where price stays organized around an adaptive path. Other phases become mixed, unstable, or reversion-prone, where direction weakens and noise becomes more dominant. This script is designed to map those changes visually through adaptive KAMA-based zones, state labels, and a compact panel that summarizes the current condition. This makes the tool structurally different from a basic moving average overlay. The objective is not to present KAMA as a one-line signal source. The objective is to use KAMA as the center of a state engine that helps users distinguish efficient trend phases from transitional or noisy environments. What this script does AG Pro KAMA Efficiency Zones evaluates price behavior around a Kaufman’s Adaptive Moving Average and organizes that behavior into visual market states. It does this by combining adaptive smoothing, slope behavior, distance from KAMA, and persistence around the KAMA path. The result is a chart framework that can help answer questions such as: • Is price moving in an efficient bullish or bearish path? • Is the market entering a mixed transition phase? • Has movement quality deteriorated into a noisier reversion-prone environment? • Is the adaptive path becoming stronger, weaker, or less stable? By turning those questions into zones and state-based chart feedback, the script aims to improve context rather than replace judgment. Unique edge The distinguishing feature of this script is that it does not treat KAMA as a standard moving average. Instead, it uses KAMA as the center of a layered efficiency model. That model focuses on the quality of movement, not just the existence of movement. Many tools emphasize momentum, volatility, volume pressure, or overbought/oversold conditions. This script is designed for a different purpose. It is a movement-quality map. It attempts to show whether price is traveling in a relatively efficient path or whether that path is degrading into a noisier condition where directional clarity may be weaker. This means the script is less about predicting a move and more about classifying the environment in which a move is taking place. How it works The script begins with KAMA, or Kaufman’s Adaptive Moving Average. KAMA is useful because it adapts its responsiveness according to market behavior. In cleaner directional phases it can respond more quickly, while in noisier phases it can become more conservative. That makes it a practical centerline for an efficiency-based state model. On top of KAMA, the script evaluates several components: 1. Efficiency behavior The script measures how directly price is moving relative to its recent path. This helps estimate whether price action is acting efficiently or becoming more erratic. 2. KAMA slope behavior The slope of KAMA is normalized so that directional angle can be evaluated in a more consistent way. Stronger and more persistent slope behavior supports higher-quality trend classifications. 3. Price-to-KAMA relationship Price position around KAMA helps determine whether movement is aligned with the adaptive path or drifting around it without clear structure. 4. Persistence The script also looks at how consistently price remains on one side of KAMA. That persistence can help distinguish a more stable move from a weaker and less durable one. These components are blended into a composite efficiency model that drives the active state and the corresponding visual zone. States and zones The script classifies market behavior into four main states: Efficient Bull Trend This state reflects a comparatively organized bullish environment where price and adaptive slope are aligned in a cleaner upward path. Efficient Bear Trend This state reflects a comparatively organized bearish environment where price and adaptive slope are aligned in a cleaner downward path. Transition This is a mixed condition. Direction may be weakening, changing, or failing to achieve the quality required for an efficient trend classification. Noise / Reversion This state reflects lower movement quality, weaker slope behavior, or a more unstable relationship between price and the adaptive path. The visual zone structure is designed to reinforce those classifications on the chart. Instead of using only one line, the script builds layered KAMA-centered bands so the user can read not only direction, but also how structured or fragile the current condition may be. How to read the chart The KAMA line is the adaptive spine of the script. The outer and inner bands represent zone structure around that adaptive path. In stronger trend states, the script increases the visual emphasis of the KAMA path and its supporting zone layers. In weaker or more mixed conditions, the script softens those visuals and allows the chart to communicate reduced clarity. State labels appear when the script confirms a meaningful shift in condition. These labels are intended to highlight a change in market state, not to promise a trade outcome. The on-chart panel summarizes the active reading using fields such as State, Efficiency, Score Band, Adaptive Bias, Active Zone, and Stability. This gives the user a compact interpretation layer without requiring every decision to be made directly from raw chart inspection. Key inputs KAMA Efficiency Length Controls the lookback used in the KAMA efficiency logic. Lower values react faster. Higher values smooth more noise. KAMA Fast Response and KAMA Slow Response Define the adaptive responsiveness range of the KAMA engine. ATR Length Used to normalize slope and distance so the tool behaves more consistently across different symbols and volatility conditions. KAMA Slope Lookback Controls how the script measures directional slope over time. Persistence Length Influences how much consistency price must show around KAMA before a move is treated as more structured. Efficient Trend Threshold and Noise Threshold These thresholds help determine when the model classifies a move as higher quality or lower quality. Zone Band ATR Width Adjusts the width of the adaptive visual zone. State Hold Bars Helps reduce rapid state flipping by requiring a condition to persist before the active state changes. Panel Font Size and Label Size Allow visual customization for different chart layouts and monitor sizes. Alerts The script includes state-oriented alerts intended to notify the user when market condition changes. These are designed around state transitions and movement-quality shifts rather than promotional “buy now” style messaging. Examples include bullish and bearish efficiency shifts, transition detection, noise-zone detection, efficiency recovery, efficiency breakdown, and trend strengthening. Alerts should be interpreted as contextual information. They are intended to support review and analysis, not to function as a standalone decision system. What this script is not This script is not a guarantee engine. It does not predict future price with certainty. It does not eliminate risk. It is not a substitute for broader market structure analysis, execution planning, or risk management. It should not be treated as a self-sufficient entry/exit system without additional confirmation and user judgment. Limitations and transparency All adaptive models are sensitive to parameter choices. Changing responsiveness, thresholds, smoothing, or persistence settings can materially affect the way states appear on the chart. Because the script is state-based, some shifts will naturally occur after the earliest turning point in price. That is part of the tradeoff involved in using confirmation and persistence to reduce noise. In highly erratic or news-driven conditions, classification can also become less stable. During those periods, transition or noise-oriented readings may occur more often, and users should interpret the visual output in that context. The script is best viewed as an analytical framework for movement quality and adaptive context, not as a promise of directional success. Practical use cases Users may find the script useful for: • separating cleaner trend phases from mixed or unstable phases • filtering chart environments before applying another workflow • evaluating whether direction is gaining or losing efficiency • adding adaptive context to discretionary analysis • comparing how different symbols behave around a KAMA-centered efficiency structure Risk disclosure This script is for analytical and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes. Market conditions can change quickly, and any indicator can produce false, delayed, or incomplete signals. Users remain responsible for their own decisions, validation process, and risk management. In short, AG Pro KAMA Efficiency Zones is designed to help read the quality of movement, not just the direction of movement. It uses KAMA as an adaptive reference point and converts that reference into a structured zone and state model so users can assess whether price behavior appears efficient, transitional, or noisy.

Indicator

Mean % Performance Overlay (5 tickers, Dividend Adjusted) This script overlays the dividend adjusted, equally weighted, mean % performance of the closing value of 5 tickers.

Indicator

ADXVMA Multi-TF Overlay & Alerts [HYPR-run]DESCRIPTION: ADXVMA across three lookback periods on one chart. A moving average that uses the ADX (Average Directional Index) as its smoothing factor; fast in trends, flat in chop. Price crossing above or below a selected ADXVMA fires a webhook-ready alert for automated execution. Based on Linnsoft's ADXvma implementation, combining Chande's Variable Moving Average (VIDYA) with Wilder's ADX as the volatility measure. When ADX is high (strong trend), the MA tracks price closely. When ADX is low (choppy), the MA barely moves. This makes it naturally adaptive without manual adjustment. DISCOVERING EDGE Adaptive MAs are popular (KAMA, VIDYA, DEMA), but most still treat every directional change as a trend signal, producing false signals. This indicator adds a fuzzy factor dead zone that creates a third state, "fuzzy flat" that must exceed a noise threshold before registering a directional change. We found the fuzzy flat signal to be a powerful signal for confirming consolidation within a trend on shorter look back periods and with the longer period for identifying ranging distribution/accumulation regimes. Fuzzy ADXVMA vs ADXVMA The fuzzy dead zone forces a consolidation state (yellow flat) where a pivot or trend change would present otherwise. When the MA finally turns green or red, it exceeds the noise floor and considered a more reliable directional commitment, not a minor fluctuation. - Flat duration before the cross determines signal quality; XO after 15+ bars flat = base resolved (high conviction), XO after 3 bars flat = noise (low conviction). - 7-tier regime gradient (D Trend at score 5 down to Potential Chop at 0) shows the trend proving itself bar by bar across multiple lookbacks. - Two alert systems with multi-layer filtering (not vanilla crossovers). Regime-confirmed fires only at early pivots. Volatility-confirmed fires only when bar participation validates the MA shift. FEATURES - Three lookbacks: short, long, weekly - Fuzzy flat detection (dead zone prevents false trend changes in chop) - Optional ATR volatility scaling (shorter period in high-vol regimes) - Dashboard with 7-tier regime gradient and event badge - Two alert systems with multi-layer filtering (not vanilla crossovers) - Regime-confirmed: price vs ADXVMA, only at early pivots (score 1-2) - Volatility-confirmed: ADXVMA momentum shift + ATR bar expansion - Select which lookback triggers regime-confirmed alerts - Color-coded: green (up), red (down), yellow (flat) - Dashboard dark/light theme toggle for any chart background HOW IT WORKS ADX measures trend strength on a 0-1 scale and feeds it directly into the MA smoothing factor. High ADX = MA tracks price. Low ADX = MA holds still. The fuzzy factor adds a dead zone so tiny movements register as flat instead of false trend changes. Three simultaneous lookbacks give you short-term, medium-term, and weekly context without switching charts. DASHBOARD Regime state at a glance. The header row shows a badge that flags conflicting events; the second row shows the current regime label with a 7-tier color gradient; the third row shows direction pivot events. ALERTS Two independent alert systems, both multi-layer filtered. Regime-confirmed: the regime pivot is the signal; price crossing the selected ADXVMA is just the trigger. Only fires at early pivots (score 1-2), ignoring mid-trend crosses entirely. Volatility-confirmed: the ATR bar expansion is the signal; the ADXVMA momentum shift is the trigger. Only fires when the bar shows real participation (high/low extends beyond open +/- ATR), ignoring low-range bars. Both fire JSON payloads; works with any webhook receiver. CREDITS ADXVMA: Linnsoft ADX: J. Welles Wilder (1978) VIDYA: Tushar S. Chande, TASC March 1992

Indicator

ATR Volume ROC Acceleration & Alerts [HYPR-run]DESCRIPTION: Rate of change applied to ATR and volume to measure volatility acceleration and participation momentum. ATR ROC catches expanding ranges before the move is obvious on price; volume ROC confirms whether participation backs the expansion. Gradient coloring intensifies with sustained directional momentum and fades on pullbacks. Volume ROC is auto-scaled to ATR ROC's range using the ratio of their standard deviations, so both signals plot in the same visual ballpark without one crushing the other. DISCOVERING EDGE ATR and volume are widely used, but most traders read them as separate panes with different scales. This indicator helps confirm whether participation backs a volatility expansion. Catching range expansion before the big candle prints is a leading confirmation signal we often use for entries and exits in our automated strategies. ATR ROC + VOLUME ROC vs SEPARATE ATR/VOLUME PANES Auto-scaling both ROC signals to the same range using their standard deviation ratio allows confirmation or divergence between volatility and participation signal to be captured and used for confirming entries and exits. - Vol breakout markers flag new 233-bar ATR ROC highs (yellow) and 30-bar range breaks (white); a 233-bar high means ATR hasn't expanded this fast in the entire lookback. - ATR expanding with volume ROC also rising = conviction; ATR expanding with volume flat = thin-market spike, treat with caution. - Webhook alerts on vol breakout (233-bar high, fewest signals) and std dev spike (more frequent) with full bar filter and directional candle confirmation. FEATURES - ATR ROC columns with advance/decline gradient (orange/red) - Volume ROC histogram, auto-scaled to ATR ROC range (cyan/blue gradient) - Vol breakout markers: new 233-bar ATR ROC high (yellow) and 30-bar range break (white) - Standard deviation filter for extreme ATR acceleration events - Structural ATR regime line (RMA baseline, optional) - Webhook-ready alerts with full bar filter - Full bar filter: body >= 66.6% of range (no doji fakeouts) HOW IT WORKS ATR measures range; its ROC measures whether ranges are expanding or contracting. Volume ROC (applied to the range of volume over N bars) measures whether participation is surging or fading. The advance/decline gradient (credit: LucF) tracks consecutive advances and declines relative to their historical max, mapping the ratio to color transparency. Strong sustained moves are vivid; weak or choppy moves are faded. ALERTS Two alert modes: - Vol Breakout: ATR ROC exceeds 233-bar high (fewest signals, highest conviction) - Std Dev Spike: ATR ROC exceeds its standard deviation band (more frequent) Bar direction determines LONG or SHORT. Full bar filter applies to both modes. Alert payload is built into the script; works with any webhook receiver. CREDITS Advance/Decline Gradient function: LucF

Indicator

AG Pro VWAP Reclaim Quality [AGPro Series]AG PRO VWAP RECLAIM QUALITY OVERVIEW AG Pro VWAP Reclaim Quality is a chart-first tool built to evaluate whether a move back above VWAP is clean, weak, delayed, or structurally fragile. This script does not treat every recovery above VWAP as equally meaningful. Instead, it grades the reclaim event itself and then follows what happens next: whether price can hold above VWAP, whether the retest is constructive, and whether the reclaim deteriorates shortly after recovery. The objective is simple: separate efficient VWAP reclaims from noisy or late recoveries that may look promising at first glance but fail to show durable acceptance. This makes the script useful for traders who want more context than a basic VWAP cross. A standard cross can show that price moved from one side of VWAP to the other. This script is designed to evaluate the quality of that transition. UNIQUE EDGE The focus here is not generic VWAP direction bias and not a simple above/below state model. The main edge of the script is its reclaim-quality framework. It evaluates the reclaim as a sequence rather than as a one-line event: 1) reclaim strength, 2) post-reclaim acceptance, 3) retest behavior, 4) timing quality, 5) failure risk. That structure is what differentiates it from ordinary VWAP cross tools. A reclaim that closes back above VWAP with a strong bar, holds acceptance, and survives a disciplined retest should not be treated the same as a reclaim that occurs late, stalls immediately, or fails after a shallow recovery. This script is designed to reflect that distinction visually and systematically. In practical terms, the script attempts to answer a more specific question: Is this reclaim simply back above VWAP, or is it actually behaving like a higher-quality recovery? METHODOLOGY The script starts by tracking session VWAP and identifying reclaim attempts after price has spent time below it. Once a reclaim is detected, the script evaluates several components: 1) Reclaim strength The reclaim bar is assessed using distance from VWAP, body efficiency, and close location within the bar. This helps distinguish decisive recoveries from marginal crosses. 2) Acceptance above VWAP After the reclaim, the script measures whether price is actually holding above VWAP over the next bars. Stable acceptance is treated differently from mixed or poor acceptance. 3) Retest behavior The script checks whether price revisits VWAP inside a defined tolerance area and whether that test is held constructively. A confirmed retest is handled as separate information rather than being merged blindly into the initial reclaim. 4) Timing quality Reclaims that occur after an extended stay below VWAP, or later in the intraday session, can be penalized. This allows the script to separate timely recoveries from delayed ones. 5) Failure logic A reclaim can later be downgraded if price loses structure below VWAP after the recovery. This failure layer is intentionally more selective so that minor noise is not treated as a meaningful reclaim breakdown. The result is a compact grading model that produces a readable chart-first output instead of a large diagnostic dashboard. HOW TO READ THE OUTPUT Main chart labels: - CLEAN: reclaim quality is strong and structurally healthy - LATE: reclaim occurred, but timing quality is weaker or delayed - RT HOLD: VWAP retest was revisited and held constructively - FAILED: reclaim lost quality and broke down after recovery Panel fields: - VWAP Reclaim: current reclaim classification - Reclaim: strength of the reclaim move itself - Acceptance: quality of post-reclaim holding behavior - Retest: whether a constructive retest is confirmed - Bias: summary interpretation of the current reclaim state - Quality: compact score representation The chart is intentionally designed to stay visual and readable. The panel provides state context, while the labels highlight the important transition points. SIGNALS AND ALERTS The script includes alert conditions for: - Clean Reclaim - Late Reclaim - Retest Hold - Failed Reclaim These alerts are intended to map to the reclaim lifecycle rather than to every minor VWAP interaction. For more conservative usage, bar-close confirmation is generally preferable when evaluating reclaim quality, especially on volatile instruments or during rapid intrabar movement. KEY INPUTS Some of the main controls include: - VWAP source - ATR length - reclaim distance normalization - minimum prior bars below VWAP - late reclaim thresholds - acceptance lookback - retest tolerance and retest window - failure delay bars - panel text size and panel theme - label visibility and label discipline controls The script also includes label filtering logic to reduce clustering and keep the chart cleaner by default. WHAT THIS SCRIPT IS DESIGNED FOR This script is designed for traders who want to evaluate reclaim quality around VWAP, not merely track whether price is above or below it. Typical use cases may include: - reviewing whether a recovery above VWAP has enough structural follow-through - filtering weak reclaims from stronger continuation candidates - identifying retest discipline after reclaim - spotting delayed or fragile recovery behavior - keeping a cleaner visual workflow around VWAP-based chart reading LIMITATIONS AND TRANSPARENCY This script is not a prediction engine and should not be interpreted as a guaranteed continuation model. A reclaim labeled as clean can still fail. A reclaim labeled as late can still continue. A failed reclaim label does not automatically imply a larger bearish trend. The tool is designed to classify reclaim behavior around VWAP, not to replace broader market structure analysis. Like all chart-based tools, outputs can vary depending on instrument, volatility regime, timeframe, and user settings. VWAP-based behavior is also context-dependent. Market environment, liquidity, trend phase, and volatility expansion can all influence reclaim behavior beyond what a single script can capture. This script is therefore best used as a structured interpretation tool, not as a standalone decision framework. RISK DISCLOSURE This indicator is for chart analysis and research use only. It does not provide investment advice, portfolio advice, or trade guarantees. Always evaluate signals within broader market context, risk management, and your own execution process. No single indicator should be relied upon in isolation. NOTES This publication focuses on reclaim quality around VWAP rather than generic VWAP crosses. The aim is to keep the logic interpretable, the visuals readable, and the methodology transparent.

Indicator

Periodic Anchored VWAP Periodic Anchored VWAP Overview The Periodic Anchored VWAP is a professional volume-weighted average price indicator that anchors VWAP calculations to fixed calendar periods. Unlike traditional anchored VWAP tools that require manual point-and-click anchoring, this indicator automatically resets VWAP calculations at predefined interval boundaries (hourly, daily, weekly, monthly), providing a clean, systematic approach to volume-weighted support and resistance analysis. Key Features 13 Anchor Periods: 1H, 4H, 6H, 12H, 1D, 3D, 1W, 2W, 1M, 2M, 3M, 6M, 12M Smart Timeframe Filtering: Automatically hides VWAPs when chart timeframe equals or exceeds anchor period Individual Period Controls: Toggle each VWAP on/off independently with custom colors Master Toggle: Global show/hide for all VWAP lines Dynamic Labels: Real-time price labels at the right edge of chart Compact Settings: Streamlined input panel with inline color pickers How It Works The Golden Rule VWAP is displayed ONLY when: Chart Timeframe < Anchor Period This ensures VWAP lines always represent meaningful continuous calculations. For example: 1H VWAP appears only on timeframes smaller than 1 hour (e.g., 15min, 5min, 1min) 1D VWAP appears only on timeframes smaller than daily (e.g., 4H, 1H, 15min) 1W VWAP appears only on timeframes smaller than weekly (e.g., daily, 4H, 1H) Anchor Logic Each VWAP resets at its respective period boundary: Intraday Anchors (1H, 4H, 6H, 12H): Reset at the start of each hour/4-hour/6-hour/12-hour period Daily Anchors (1D, 3D): Reset at daily market open Weekly Anchors (1W, 2W): Reset at weekly market open Monthly Anchors (1M, 2M, 3M, 6M, 12M): Reset at month boundaries Input Settings Master Control: VWAP Display Show / Hide Global toggle for all VWAP lines Intraday Anchors (Default: Off): 1H => Teal => Short-term intraday reference 4H => Pink => Medium-term intraday reference 6H => Magenta => Half-day session reference 12H => Cyan => Full session reference Anchor VWAP Periods (Default: On): 1D => Yellow/Green => Daily support/resistance 3D => Purple => Multi-day trend reference 1W => Blue => Weekly pivot levels 2W => Light Blue => Bi-weekly trend 1M => Green => Monthly support/resistance 2M => Dark Green => 2-month horizon 3M => Yellow => Quarterly reference 6M => Orange => Semi-annual trend 12M => Red => Annual benchmark Visual Display VWAP Lines: Colored lines plotted at 2px thickness for clear visibility: Right-Edge Labels: Compact labels showing period and current VWAP value Smart Label Colors: Black or white text automatically based on line color for optimal readability Use Cases Intraday Trading: Use 1H, 4H, 6H, 12H VWAPs on lower timeframes (e.g., 5min, 15min) to identify intraday support/resistance levels Multiple intraday VWAPs reveal stacked liquidity zones Swing Trading: 1D, 3D, 1W, 2W VWAPs help identify trend direction and mean reversion levels Weekly VWAP provides context for daily price action Position Trading: 1M, 3M, 6M, 12M VWAPs offer long-term benchmarks for valuation assessment Multiple monthly VWAPs show multi-year price distribution Multi-Timeframe Analysis: Visualize up to 13 VWAP levels simultaneously Identify confluences where multiple VWAP periods align Observe how price interacts with different anchored levels Important Notes Timeframe Limitations: VWAPs automatically hide when the chart timeframe is equal to or greater than the anchor period (prevents misleading point-to-point lines) Intraday Anchors Disabled by Default: Enable only the periods relevant to your trading style to reduce visual clutter Monthly Anchors: Use 30-day approximation for minute calculations; display logic ensures they only appear on daily or lower timeframes Label Positioning: Labels appear 1-13 bars to the right of the current bar to prevent overlap with price action Performance Efficiently coded with looped label management No repainting — all calculations are historical Compatible with all markets and symbols Version History v.1.0 => Initial release with 13 anchor periods, timeframe validation, and dynamic labels Start using Periodic Anchored VWAP to elevate your volume-weighted analysis across all timeframes!

Indicator

by BacktestTerminal

AlphaSpark Delta CVD Flow The Entry Logic: :arrow_up_small: AlphaSpark Delta CVD Flow This goes on your bottom pane. I took a standard Cumulative Volume Delta (CVD) moving average concept and kind of supercharged it. Pure Breakouts Only: It only prints a signal when the CVD line aggressively breaks out of all four moving averages. The DeltaFlow Exhaustion Filter (My own take on it): This is the custom piece I built into the engine. During the NY Open, institutions love to print massive fakeout candles (Liquidity Sweeps). Standard CVD bots will tell you to "Buy" right at the absolute top of that sweep. This indicator reads a custom Money Flow Index (DeltaFlow from the old "AlphaSpark DeltaShift") in the background. It will block the long signal if the market is already overbought, and block the short if it's oversold. As a result, it will spam you a lot less. One Long followed by one Short and vice-versa.

Indicator

Average Volatility Zones Displays the average volatility range directly on the chart as horizontal levels projected from the current period's open. The indicator calculates the average candle size (High-Low or True Range) over a configurable period and timeframe (default: Daily, 20 bars), then draws upper and lower lines at that distance from the current timeframe open — showing how far price typically moves within one period. Key features: - Multi-timeframe support — measure volatility from any timeframe (M15 to Monthly) - Scalable levels — optional 2x, 3x, and custom multiplier levels for extended volatility zones - Zone mode — converts lines into shaded bands based on a percentage of the average volatility - Automatic pip detection for forex pairs (supports 5-digit and 3-digit brokers) - Each level is labeled with its timeframe, period, and value in pips - Fully customizable colors, line styles, label positioning, and zone transparency Useful for gauging intraday range potential, setting realistic targets, identifying overextended moves, and filtering entries near volatility extremes.

Indicator

EMA (15 EMA's in 1)English Version This is a simple indicator with built-in EMAs and flexible customization. You can use the default EMA values or modify them according to your strategy. If you need an additional EMA, simply add it in the code and enable it in the settings. Example: ema2222 = Ema(2222) s2222 = input.bool(true, "2222") plot(s2222 ? ema2222 : na, "2222", color=color.white, linewidth=1) To change the period — replace 2222 with any value you prefer. To add another EMA — duplicate the lines and specify a new period. RU. Это простой индикатор со встроенными EMA и возможностью гибкой настройки. Вы можете использовать предустановленные значения EMA или изменить их под свою стратегию. Если вам нужна дополнительная EMA, просто добавьте её в код и настройках. Для примера: ema2222 = Ema(2222) s2222 = input.bool(true, "2222") plot(s2222 ? ema2222 : na, "2222", color=color.white, linewidth=1) Чтобы изменить период — замените число 2222 на любое нужное значение. Чтобы добавить ещё одну EMA — продублируйте строку и укажите новый период

Indicator

by OpenYourMind1318

All-in-One MTF EMA x20 This indicator lets you display up to 20 EMAs on your chart. Each EMA can pull data from a different timeframe (like 1-hour or daily), so you can see higher timeframe trends while trading on lower timeframes. You control which EMAs show up on which chart intervals with simple checkboxes—perfect for multi-timeframe analysis without cluttering your workspace.

Indicator

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