Realized Price by Baal Hadad v2 (multi-source)Based on "Realized Price" by Baal Hadad (open-source, MPL 2.0).
The original relied on IntoTheBlock's MVRV feed, which stopped updating on August 15, 2025 and was marked as discontinued by TradingView — the indicator froze. This version fixes that with a multi-source data cascade and adds self-diagnostics.
WHAT IT SHOWS
Realized Price is the average price at which each coin last moved on-chain — the market's aggregate on-chain cost basis. When spot price falls below realized price, the average holder is underwater; historically this marks capitulation zones and potential cycle bottoms. Multiples above it mark overheated zones.
Realized Price = Realized Cap / Circulating Supply
DATA SOURCES (NEW)
Realized Cap, by priority: Custom symbol → CoinMetrics RealCap (direct) → Custom MVRV → IntoTheBlock MVRV (derived as Market Cap / MVRV).
Circulating Supply: Custom → Glassnode → IntoTheBlock → Market Cap / Price (unbreakable fallback).
A source is considered dead if it hasn't updated for N days (default 7, configurable) — the script automatically switches to the next live one. You can also force a specific source or plug in your own symbols.
DIAGNOSTICS (NEW)
An on-chart table shows every feed's status (live / lagging / dead), its last value, date and age in days; the source currently in use is marked with ►. If all Realized Cap sources go silent, the table shows FROZEN and a "data stale" alert fires — instead of silently plotting a frozen line.
DISPLAY
- Realized Price smoothed by MA (default EMA 30 as in the original; SMA / WMA / RMA / HMA / HEMA selectable), optional raw line
- Lower bands: −30% / −50% / −70% (green, accumulation zones)
- Upper bands: ×2 / ×3 / ×4 / ×5 (red, distribution zones)
- Background highlight when price crosses a band; band and signal logic unchanged from the original
- Synthetic MVRV = Market Cap / Realized Cap in the Data Window — replaces the dead ITB feed
ALERTS
Buy zone, Sell zone, Data stale.
NOTES
The coin is detected automatically from the chart ticker, so it works on any coin covered by CoinMetrics / Glassnode — not just BTC / ETH / LTC. On-chain metrics are daily; use on the D timeframe or higher.
==================================================================================
Основано на "Realized Price" от Baal Hadad (открытый код, MPL 2.0).
Оригинал опирался на фид MVRV от IntoTheBlock, который перестал обновляться 15 августа 2025 и помечен TradingView как discontinued — индикатор замер.
Эта версия решает проблему каскадом источников данных и добавляет самодиагностику.
ЧТО ПОКАЗЫВАЕТ
Realized Price (реализованная цена) — средняя цена, по которой каждая монета в последний раз двигалась в блокчейне, то есть совокупная ончейн-себестоимость рынка. Когда спотовая цена уходит ниже реализованной, средний держатель в убытке — исторически это зоны капитуляции и потенциального дна цикла. Кратные превышения — зоны перегрева.
Realized Price = Realized Cap / Circulating Supply
ИСТОЧНИКИ ДАННЫХ (НОВОЕ)
Realized Cap, по приоритету: Custom-символ → CoinMetrics RealCap (напрямую) → Custom MVRV → IntoTheBlock MVRV (расчёт как Market Cap / MVRV).
Circulating Supply: Custom → Glassnode → IntoTheBlock → Market Cap / Price (несгораемый фолбэк).
Источник считается мёртвым, если не обновлялся N дней (по умолчанию 7, настраивается) — скрипт автоматически переключается на следующий живой. Можно принудительно выбрать конкретный источник или подключить свои символы.
ДИАГНОСТИКА (НОВОЕ)
Таблица на графике показывает статус каждого фида (live / lagging / dead), последнее значение, дату и возраст в днях; активный источник помечен ►. Если все источники Realized Cap замолчали, таблица показывает FROZEN и срабатывает алерт "data stale" — вместо того чтобы молча рисовать замороженную линию.
ОТОБРАЖЕНИЕ
- Realized Price, сглаженная скользящей средней (по умолчанию EMA 30, как в оригинале; на выбор SMA / WMA / RMA / HMA / HEMA), опционально сырая линия
- Нижние полосы: −30% / −50% / −70% (зелёные, зоны накопления)
- Верхние полосы: ×2 / ×3 / ×4 / ×5 (красные, зоны распределения)
- Подсветка фона при пересечении полос; уровни полос и логика сигналов не менялись
- Синтетический MVRV = Market Cap / Realized Cap в окне данных (Data Window) — замена умершему фиду ITB
АЛЕРТЫ
Зона покупки, зона продажи, протухание данных (data stale).
ПРИМЕЧАНИЯ
Монета определяется автоматически из тикера графика, поэтому индикатор работает на любой монете с покрытием CoinMetrics / Glassnode — не только BTC / ETH / LTC. Ончейн-метрики дневные; использовать на таймфрейме D и выше. Indikator
Indikator
Indikator
Volume Matrix ScannerVolume Matrix Scanner - First Release
Volume Matrix Scanner is a beginner-friendly TradingView indicator that watches volume and price action across a group of stocks in one simple panel.
The underlying logic is derived from the Volume V6 indicator. Volume Matrix Scanner is recommended to be used together with Volume V6: use the Matrix to scan many stocks, then use Volume V6 to study one chart in more detail.
The script is designed to help newer traders understand whether a stock is showing signs of demand, quiet accumulation, dry pullbacks, or possible selling pressure. Instead of only showing raw numbers, the panel gives plain messages such as BUY, SNORT, ADD, PIVOT, TRIM, SELL, or Quiet.
Quoted from the Volume V6 logic, in simple terms:
Volume V6 is trying to answer one main question: is volume showing demand from buyers, supply from sellers, or nothing important yet?
It does this by combining several clues instead of trusting one volume bar alone. First, it creates a normal-volume baseline using average volume, usually over 50 bars. Then it compares today's volume against that normal level.
If volume is much higher than normal, the script asks whether price closed strong near the high, whether price rose compared with the previous bar, whether price is above short or longer moving averages, and whether buying pressure is stronger than selling pressure. If the answer is mostly yes, it treats the volume as demand or accumulation.
If volume is high but price closes weak, falls, or rejects higher prices, it treats that as supply or distribution.
Volume V6 also builds an accumulation score from -100 to +100. Positive points are added for Pocket Pivot Volume, Bull Snort volume, strong up bars closing near the high, dry pullbacks in a healthy trend, rising OBV, positive money flow, and price staying above key moving averages.
Negative points are added for heavy down-volume, upthrust selling, heavy churn where volume is huge but price does not make progress, falling OBV, negative money flow, and price weakness below key averages.
So the score is basically a weight-of-evidence reading.
What the messages mean:
- BUY means demand is confirmed and the stock may be under accumulation.
- SNORT means Bull Snort, which is unusually strong bullish volume.
- ADD means a quiet or dry pullback while the bigger trend still looks healthy.
- PIVOT means Pocket Pivot Volume, a clue that larger buyers may be active.
- TRIM means an early warning that supply may be coming in.
- SELL means distribution pressure may be present and capital should be defended.
- Quiet means there is no active setup at the moment.
The score runs from -100 to +100:
- Above +50 suggests strong accumulation.
- +30 to +49 suggests constructive demand.
- -15 to +29 suggests mixed or quiet action.
- -30 to -49 suggests a supply warning.
- Below -50 suggests distribution or defensive action.
Users can add stocks of their own choice. The default list includes popular U.S. stocks, but each symbol input can be changed in the indicator settings. Open the settings, go to the Symbols sections, and replace any ticker with the stock you want to follow.
This indicator is meant to support learning and decision-making. It should not be used as financial advice or as a standalone buy or sell system. Always combine it with your own chart review, risk management, and research.
Authorship: drsamgeorge, made with AI assistance. Indikator
Swing & Short Term//@version=6
indicator("Swing & Short Term", overlay=true)
// Input
len = input.int(14, "Williams %R Length")
// Multi-timeframe Williams %R
wprDay = request.security(syminfo.tickerid, "D", ta.wpr(len))
wprWeek = request.security(syminfo.tickerid, "W", ta.wpr(len))
wpr1H = request.security(syminfo.tickerid, "60", ta.wpr(len))
// Conditions
buyCond = (wprDay > -30 and wprWeek > -30 and wpr1H > -30)
sellCond = (wprDay < -40 and wprWeek < -40 and wpr1H < -40)
// Track last signal
var int lastSignal = 0 // 0 = none, 1 = buy, -1 = sell
buySignal = buyCond and lastSignal != 1
sellSignal = sellCond and lastSignal != -1
if buySignal
lastSignal := 1
if sellSignal
lastSignal := -1
// Plot signals
plotshape(buySignal, title="Buy", location=location.belowbar,
style=shape.triangleup, color=color.green, size=size.small, text="BUY")
plotshape(sellSignal, title="Sell", location=location.abovebar,
style=shape.triangledown, color=color.red, size=size.small, text="SELL")
// Alerts
alertcondition(buySignal, title="Buy Alert", message="BUY: D/W/1H W%R > -30")
alertcondition(sellSignal, title="Sell Alert", message="SELL: D/W/1H W%R < -40")
// Reference lines
hline(-30, "Overbought", color=color.red)
hline(-40, "Sell Threshold", color=color.gray)
Indikator
Volume V6Title:
Volume V6
Author:
drsamgeorge
Creation note:
Created by drsamgeorge with AI assistance.
Short description:
A beginner-friendly volume analysis dashboard that highlights accumulation, dry pullbacks, pocket-pivot style demand, high-demand volume bars, and distribution warnings.
[bFull publication description:
Volume V6 is a volume-based decision support indicator designed to help traders read whether volume is leaning toward accumulation, neutral action, or distribution.
It is built to make volume easier to understand, especially for beginners. Instead of only showing raw volume bars, it adds a score, dashboard, colored volume bars, main-chart arrows, and simple labels that explain what type of volume event may be happening.
How to start using it:
1. Add Volume V6 to your chart.
2. Start on the Daily timeframe if you are new. The high-volume and low-volume markers are easiest to understand on daily, weekly, and monthly charts.
3. Look first at the dashboard. The Volume Verdict gives the simplest summary: BUY / ACCUMULATE, ADD ON DRY-UP, DISTRIBUTION, SELL / DEFEND, or NEUTRAL.
4. Check the Accumulation Score. Positive numbers suggest demand is stronger. Negative numbers suggest supply is stronger.
5. Look at the colored volume bars and chart markers. These show what kind of volume event happened on that candle.
6. Always compare the signal with price trend, support/resistance, and your own risk plan.
The indicator combines several practical volume concepts into one visual tool:
Main symbols and what they suggest:
- BUY: Demand and accumulation conditions are lining up. This suggests buyers may be taking control, but it is still a confirmation signal, not a guaranteed entry.
- ADD: Volume has dried up during a constructive pullback. This suggests selling pressure may be light while the larger setup remains supportive.
- TRIM: Early supply pressure is appearing. This suggests caution and possible risk reduction.
- SELL: Distribution pressure is strong enough to defend capital. This suggests sellers may be in control.
- PPV: Pocket-pivot style demand, where upside volume exceeds recent downside volume. This suggests institutional-style demand may be appearing.
- BS: Bull Snort. This marks very large bullish volume with the close near the high, suggesting aggressive demand.
- Dry: Very low volume. This can be constructive during a calm pullback, but weak if price is already breaking down.
- HVQ+: Highest-volume bar in roughly a quarter, with a bullish candle. This suggests major demand or buying interest.
- HVQ-: Highest-volume bar in roughly a quarter, with a bearish candle. This suggests major supply or selling pressure.
- HVY+: Highest-volume bar in roughly a year, with a bullish candle. This suggests unusually strong demand.
- HVY-: Highest-volume bar in roughly a year, with a bearish candle. This suggests unusually strong supply.
- HVE+: Highest-volume bar in the loaded lookback, with a bullish candle. This suggests an extreme demand event.
- HVE-: Highest-volume bar in the loaded lookback, with a bearish candle. This suggests an extreme supply event.
- LVQ: Lowest-volume bar in roughly a quarter. This suggests volume has dried up.
- LVY: Lowest-volume bar in roughly a year. This suggests a major volume dry-up.
- Verdict HMA: A Hull moving average on the main chart, colored by the current volume verdict.
What the arrows suggest:
- Blue up arrows such as HVQ+, HVY+, and HVE+ mark bullish high-volume extremes. They suggest that a large amount of volume came in on a candle that closed bullish.
- Red down arrows such as HVQ-, HVY-, and HVE- mark bearish high-volume extremes. They suggest that a large amount of volume came in on a candle that closed bearish.
- BUY arrows suggest demand confirmation.
- SELL or TRIM down markers suggest supply pressure or risk-management warnings.
- ADD markers suggest a possible constructive pullback area when volume dries up.
How beginners can read it:
Start with the dashboard. The Volume Verdict gives the simplest interpretation. A positive score suggests accumulation or demand. A negative score suggests distribution or supply. Neutral means the evidence is mixed.
Then check the chart markers:
- BUY is a confirmation signal, not a guaranteed entry.
- ADD is usually most useful after a strong trend when a pullback happens on low volume.
- TRIM and SELL are risk-management warnings.
- PPV and BS show strong demand bars, but they should still be checked against trend, support, resistance, and market conditions.
The Accumulation Score ranges from -100 to +100:
- Above zero: demand is generally stronger than supply.
- Near zero: mixed or unclear volume.
- Below zero: supply is generally stronger than demand.
Suggested use:
Use this indicator as a confirmation tool alongside price structure, support/resistance, moving averages, trend, and risk management. It is not intended to predict the future or replace a trading plan.
If in doubt insert the code into AI and clarify.
Important:
This script is for education and research only. It is not financial advice. No indicator can guarantee profitable trades. Always use position sizing, stops, and your own judgment. Indikator
Indikator
MONSTER BOX 5M Scalper v1.1
BEHOLD: THE MONSTER BOX 5M SCALPER
I built this because apparently staring at 47 candles, six indicators and an options chain while trying to make a ten-second decision wasn’t stressful enough.
The MONSTER BOX 5M Scalper takes THE MONSTER BOX strategy and turns it into a color-coded command center for quick scalps.
The basic setup is simple:
• The 5-minute timeframe builds the box and confirms structure.
• The 1-minute chart gives the faster entry trigger.
• The indicator waits for repeated reactions at the top and bottom.
• It calculates the 50% cost basis automatically.
• It scores the quality of the structure from 0–10.
• It identifies bullish or bearish lean.
• It projects two potential targets into empty space.
• It watches for confirmed breakouts, breakdowns, retests and punchbacks.
THE DASHBOARD
WAIT — Sit on your hands. The structure or entry is not confirmed.
BUY — A bullish retest or punchback has confirmed.
SELL — A bearish retest or punchback has confirmed.
QUALITY — Grades the box based on reactions, rotations, drift and overall cleanliness.
LEAN — Shows whether the current structure is leaning bullish or bearish.
TOP — Seller-defense ceiling.
50% BASIS — The middle of the box and estimated cost-basis battle line.
BOTTOM — Buyer-defense floor.
TARGET 1 — The first projected target into empty space.
TARGET 2 — The larger measured-move target.
THE SIGNALS
BOX — A valid structure has been identified and locked.
BREAK — Price closed outside the box. A wick does not count.
LONG RETEST — Bullish break, retest and hold confirmed.
SHORT RETEST — Bearish break, retest and rejection confirmed.
PB LONG / PB SHORT — A failed break reversed through the 50% cost basis.
OUT — The reclaimed or broken level failed. The play is invalidated.
T1 / T2 — Projected targets reached.
RECOMMENDED SETUP
Chart timeframe: 1 minute
Box timeframe: 5 minutes
Dashboard display: 5m → 1
Optional filters are included for VWAP, EMA 9/20 alignment, volume expansion and regular trading hours.
This indicator is designed to use completed box-timeframe candles for confirmation. It does not need to predict the future. It waits for price to expose its plans, checks the box, checks it again, and then dramatically points at BUY, SELL or WAIT like an emotionally unstable traffic light.
This is not a magical money printer.
It will not replace risk management.
It will not stop you from buying terrible contracts with a 40-cent spread.
It will, however, help remove hesitation, organize the chart and make the MONSTER BOX process much easier to read during quick scalps.
WAIT FOR CONFIRMATION.
DON’T CHASE.
NO TRADE IF THERE’S A QUESTION.
Educational use only. Not financial advice.
A crazy indicator built from a crazy strategy by an even crazier man.
Indikator
Indikator
Indikator
Moving Average Ribbon//@version=6
indicator("Moving Average Ribbon", shorttitle = "MA Ribbon", overlay = true, timeframe = "", timeframe_gaps = true)
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
=> na
show_ma1 = input(true, "MA #1", inline = "MA #1", display = display.none)
ma1_type = input.string("SMA", "", inline = "MA #1", active = show_ma1, options = )
ma1_source = input(close, "", inline = "MA #1", active = show_ma1, display = display.none)
ma1_length = input.int(20, "", inline = "MA #1", active = show_ma1, minval = 1)
ma1_color = input(#f6c309, "", inline = "MA #1", active = show_ma1, display = display.none)
show_ma2 = input(true, "MA #2", inline = "MA #2", display = display.none)
ma2_type = input.string("SMA", "", inline = "MA #2", active = show_ma2, options = )
ma2_source = input(close, "", inline = "MA #2", active = show_ma2, display = display.none)
ma2_length = input.int(50, "", inline = "MA #2", active = show_ma2, minval = 1)
ma2_color = input(#fb9800, "", inline = "MA #2", active = show_ma2, display = display.none)
show_ma3 = input(true, "MA #3", inline = "MA #3", display = display.none)
ma3_type = input.string("SMA", "", inline = "MA #3", active = show_ma3, options = )
ma3_source = input(close, "", inline = "MA #3", active = show_ma3, display = display.none)
ma3_length = input.int(100, "", inline = "MA #3", active = show_ma3, minval = 1)
ma3_color = input(#fb6500, "", inline = "MA #3", active = show_ma3, display = display.none)
show_ma4 = input(true, "MA #4", inline = "MA #4", display = display.none)
ma4_type = input.string("SMA", "", inline = "MA #4", active = show_ma4, options = )
ma4_source = input(close, "", inline = "MA #4", active = show_ma4, display = display.none)
ma4_length = input.int(200, "", inline = "MA #4", active = show_ma4, minval = 1)
ma4_color = input(#f60c0c, "", inline = "MA #4", active = show_ma4, display = display.none)
ma1 = show_ma1 ? ma(ma1_source, ma1_length, ma1_type) : na
ma2 = show_ma2 ? ma(ma2_source, ma2_length, ma2_type) : na
ma3 = show_ma3 ? ma(ma3_source, ma3_length, ma3_type) : na
ma4 = show_ma4 ? ma(ma4_source, ma4_length, ma4_type) : na
plot(ma1, "MA #1", ma1_color, display = show_ma1 ? display.all : display.none)
plot(ma2, "MA #2", ma2_color, display = show_ma2 ? display.all : display.none)
plot(ma3, "MA #3", ma3_color, display = show_ma3 ? display.all : display.none)
plot(ma4, "MA #4", ma4_color, display = show_ma4 ? display.all : display.none) Indikator
Risk Manager & Position Sizer [martineye15]Prop Firm Risk Manager & Position Sizer — a position-size calculator and rule checker built for funded-account and challenge traders. Place your entry, stop-loss and take-profit on the chart, and the panel returns the exact lot size for your chosen risk, then checks that trade against your prop-firm rules before you take it.
THE CORE IDEA: RISK IS FIXED, LOT SIZE FLOATS
Risk money = account size x risk % (or a fixed cash amount). Lot size = risk money / (stop distance x value per lot + commission). Widening the stop shrinks the position; tightening it grows the position. The money at risk never changes. Sizes are rounded DOWN to your broker's lot step, so actual risk never exceeds planned risk.
TRADE LEVELS
Entry, stop-loss and take-profit are interactive price inputs — click to place them when you add the indicator, then drag the price lines to re-plan and watch every number update live. Entry can follow the current price (market) or sit at a placed level (pending). Direction is derived from the stop's side of entry, or forced long/short to validate your geometry. Optionally, an ATR module sets the stop and target automatically at entry -/+ ATR x multiplier, using the chart timeframe or a higher one, and either the live or the last closed bar's ATR.
ACCOUNT & INSTRUMENT
Set your account size, account currency and risk (percent of account or a fixed cash amount). If the symbol's quote currency differs from your account currency, a conversion rate is fetched automatically (direct pair first, then inverse) and a warning appears if neither resolves. Broker specs are fully adjustable: contract size (auto-derived or manual, for the many CFD symbols whose specs differ from the exchange's), lot step, minimum and maximum lot, and round-trip commission per lot, which is treated as part of the loss. A manual lot override works in reverse: enter a size you already have in mind and the panel tells you the risk money and risk percentage it actually carries.
PROP-FIRM RULE ENGINE
Enter your firm's limits — maximum daily loss, maximum total drawdown, per-trade risk cap, maximum lots, maximum portfolio open risk, and profit target (typical challenge rules are 5% daily, 10% total, 10% target). Log how much you have already lost today and your running P/L, and the panel shows:
- Remaining daily loss budget, and whether this trade fits inside it
- How many identical losing trades it would take to breach the daily limit
- Remaining total drawdown buffer, reduced by any running loss
- Pass/fail on the per-trade risk cap, the lot cap, and combined open risk across positions
- Distance to your profit target, in money and in R multiples of this trade's risk
- A minimum risk:reward check
With hard block enabled, any failed check turns the panel header red and shows DO NOT TRADE.
PANEL, DRAWINGS & ALERTS
A dashboard table (four corner positions, normal or compact, dark or light) shows direction, levels, lot size, units, risk and reward in money and percent, risk:reward, per-pip value for the sized position, every rule check, and a plain-language warnings list explaining anything that is wrong or clamped. Entry, stop and target are drawn as labelled lines with shaded risk and reward zones. Alerts are available for entry, stop or target touches — with the computed lot size and risk in the message — and for any rule check flipping to fail.
HOW TO USE
Add the indicator, click to place entry, stop and target. Set your account size, currency and risk percentage, then enter your broker's contract size, lot step and commission (check these against your own account — CFD specs vary between brokers). Enter your firm's daily loss, drawdown, target and cap rules once. Before each trade, drag the levels to your plan, update the loss-taken-today and current P/L fields, read the lot size, and only take the trade if every check passes.
WHAT MAKES IT DIFFERENT
Most position sizers stop at the lot size. This one continues into the rules that actually end funded accounts: it treats the daily loss budget, the drawdown buffer and total open risk as constraints the trade must fit inside, tells you how many more losses you can survive today, expresses your remaining profit target in R multiples of the position in front of you, and can visibly block the trade when a rule fails. Commission is priced into the size, results are rounded conservatively, and every clamp or failure is explained in plain language rather than silently applied.
IMPORTANT LIMITATIONS — PLEASE READ
Pine Script cannot access your broker account. Account size, loss already taken today, current P/L and risk committed to other open positions are MANUAL inputs — the tool is only as accurate as what you enter, so keep them current during the session. It cannot read your live balance, equity, open positions, spread, swap or margin, and it cannot place, modify or close orders — this is a calculator and a checklist, not an execution tool. TradingView's symbol specifications may not match your prop firm's CFD specifications, which is what the manual contract size override is for: verify the lot size against your broker before trading. The total drawdown check assumes a static limit measured from the initial balance and does not model trailing drawdown. Figures update live with the current bar (ATR in "Current" mode changes as the bar forms); use the "Previous" ATR setting for stable values.
This is a calculation and decision-support tool. It is not a strategy, generates no trade signals, and is not financial advice. Always verify position sizes against your own broker and risk rules. Indikator
Linear GANN 2.0 - Adib NooraniLinear GANN 2.0 is a clean, visually unobtrusive indicator designed to automatically plot key mathematical price levels on your chart. Instead of manually drawing horizontal lines every day, this script instantly applies a massive array of predefined Gann-based numerical levels, saving you time and keeping your analysis consistent.
The Math Behind the Indicator
TradingView requires transparency in how indicators are calculated. This script does not use moving averages or volume; instead, it plots a hardcoded sequence of mathematical values inspired by Gann theory and the Square of Nine.
If you look at the underlying array, the price levels follow a distinct geometric sequence based on squares. The pattern alternates between perfect odd squares and even squares plus one:
1
5 (which is 2² + 1)
9 (which is 3²)
17 (which is 4² + 1)
25 (which is 5²)
37 (which is 6² + 1)
...and so on, scaling all the way up to accommodate high-value assets like Bitcoin or major indices.
How to Use It in Your Trading
Because these numbers act as psychological and mathematical pivot points, traders can use these lines as traditional Support and Resistance zones.
1. Trend Continuations - If the price breaks cleanly above a Gann line and retests it, that level often flips from resistance to support. The next line up becomes your logical take-profit target.
2. Reversals - Watch for exhaustion or liquidity sweeps around these exact levels. If price wicks heavily at one of these lines, it can signal a potential reversal.
Key Features
Dynamic Labels - To prevent chart clutter, the price labels are coded to constantly push to the far right edge of your screen, mimicking the native price scale.
Infinite Lines - The lines use the `extend.both` property, meaning no matter how far back or forward you scroll, your levels are always there.
Customization - Fully customizable line thickness and colors to match both dark and light themes, with a toggle to turn labels on or off.
Always use candlestick patterns or consolidation breakouts around the GANN levels to enter with good Risk : Reward Indikator
ATK/DEF Price Action Liquidity MometumPLM (Price Action Liquidity Momentum) is a custom market behavior analysis indicator designed to study the interaction between price action structure, liquidity conditions, and momentum characteristics through a multi-dimensional calcula framework.
The concept behind PLM is based on the observation that price movement contains multiple layers of information beyond simple direction. Each candle reflects internal market behavior through its body strength, range expansion, wick distribution, closing position, volume participation, and movement intensity.
Traditional indicators often analyze market conditions from a single perspective, such as trend, momentum, or volume. PLM takes a different approach by combining several independent measurements derived from raw candle data, volume behavior, and momentum calculat into one unified analytical structure.
The purpose of PLM is to transform different aspects of market behavior into measurable components, allowing users to observe how price structure, liquidity interaction, and momentum conditions change together across different market environments.
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PLM Core Framework
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PLM is built around three primary analytical dimensions:
1. Price Action
2. Liquidity
3. Momentum
Each component represents a different layer of market behavior.
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Price Action Analysis
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The Price Action component focuses on the internal structure of individual candles and recent candle sequences.
PLM evaluates:
• Candle body strength
• Candle range expansion
• Upper wick proportion
• Lower wick proportion
• Candle direction
• Multi-candle behavioral sequence
The candle body strength calculation measures the relationship between candle direction and total movement range.
The wick analysis observes how price interacts with different levels during candle formation, providing information about rejection characteristics and internal pressure distribution.
The three-candle classification system evaluate recent candle sequences by categorizing candle structures according to body percentag and directional strength.
This approach allows PLM to analyze how price movement is formed rather than only observing the final closing value.
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Liquidity Analysis
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The Liquidity component focuses on the relationship between price movement, volume participation, and internal market balance.
PLM incorporates:
• Chaikin Money Flow (CMF)
• Volume-weighted price positioning
• Wick pressure distribution
• Custom Whirlpool Index
The money flow calculation evaluates the relationship between candle closing location and volume activity.
The Whirlpool Index is a custom measurement developed within PLM to observe the interaction between upper and lower wick activity combined with candle strength.
This measurement represents the intensity of internal price competition and the balance between opposing market forces.
Higher values indicate stronger interaction and greater internal movement activity, while lower values represent relatively calmer conditions.
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Momentum Analysis
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The Momentum component evaluates the strength and condition of current market movement.
PLM combines:
• Price momentum measurement through RSI
• Volume momentum measurement through Volume RSI
The Momentum Index creates a combined numerical representation of movement characteristics by considering both price behavior and volume activity.
This allows momentum conditions to be viewed from both price-based and participation-based perspectives.
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Price and Flow Relationship Analysis
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PLM also includes a relationship measurement between price direction and mone flow behavior.
This component evaluates:
• Price movement direction
• Money flow direction
• Volatility condition
• Liquidity balance intensity
The purpose of this calculation is to observe differences between price behavior and volume-related conditions.
It is designed to highlight changes in market characteristics and internal behavior relationships rather than provide prediction-based output.
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Integrated Market Behavior Framework
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By combining Price Action, Liquidity, and Momentum analysis, PLM creates a structured framework that connects:
• Candle formation
• Volume participation
• Market pressure distribution
• Internal balance conditions
• Movement strength
Each measurement contributes a different perspective, allowing the indicator to display a broader view of market behavior compared with single-factor calculations.
The integrated dashboard presents these measurements in a compact format, including:
• Three-candle structure
• Body strength
• Money flow condition
• Liquidity balance intensity
• Momentum state
• Price and flow relationship
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Calculation Philosophy
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PLM is designed around the principle that market behavior can be studied through the interaction of multiple measurable factors.
Instead of relying on one calculation source, PLM combines independent observations from candle structure, volume information, and momentum characteristics to create a comprehensive visualization framework.
The indicator does not provide tradi instructions, does not generate finan advice, and does not attempt to predict future market movement.
PLM is intended as an analytical and visualization tool for studying price behavior, liquidity characteristics, and momentum conditions through objective calculations. Indikator
Indikator
Indikator
Webhook Alert Strategy TemplateEducational strategy shell that builds webhook-ready alert messages from strategy order fills.
Why this exists
Most traders can write an entry condition. The hard part is packaging a clean, risk-defined exit and a stable alert string that an external webhook receiver can parse. This template is a starting shell for that workflow.
What it does
- Demo entry: MA crossover (EMA/SMA/WMA/RMA selectable). Replace this with your own logic.
- Risk exits: ATR-based stop distance (or fixed pip distance), take-profit from risk:reward.
- Alert messages: attaches comma-separated command strings to strategy entries and exits using alert_message.
Message format examples
BUY,XAUUSD,VOL=0.01,SL=120.5,TP=241,TPSLTYPE=PIPS
SELL,XAUUSD,VOL=0.01,SL=120.5,TP=241,TPSLTYPE=PIPS
CLOSE,XAUUSD
How to use
1. Add the strategy to a standard chart (gold/forex/indices work well).
2. Set VOL, ATR stop, and RR in inputs.
3. Create one alert on this strategy.
4. Choose order fills and alert() function calls.
5. Set the alert message field to exactly: {{strategy.order.alert_message}}
6. Enable webhook URL notifications and paste your own webhook endpoint.
What this is not
This is not a signal service and not financial advice. Default MA entry is only a placeholder so the shell compiles and can be tested. Backtest results with the demo entry are not a performance claim.
Originality
The useful part is the combination of risk-defined strategy exits plus explicit webhook command string generation on fills, so users can learn alert_message plumbing without rebuilding exits from scratch.
Defaults used for this publication
- Symbol: XAUUSD (OANDA)
- Timeframe: 1D
- Initial capital: 10000
- Position size: 2% of equity
- Commission: 0.02%
- Slippage: 2 ticks
Strategie
Quantum Kernel Trend ProQuantum Kernel Trend Pro
Quantum Kernel Trend Pro is an advanced trend-following indicator built around the Nadaraya-Watson Kernel Regression model. Instead of relying on traditional moving averages that apply fixed weighting methods, this indicator uses statistical kernel estimation to calculate a dynamic trend line that adapts to changing market conditions while filtering a significant amount of market noise.
The primary objective of this indicator is to provide traders with a smoother, more intelligent representation of market direction without introducing unnecessary lag. It is designed for traders who want to identify the prevailing trend, detect confirmed reversals, filter false market movements, and visually understand market structure using adaptive mathematical modeling.
Unlike conventional moving averages that often react late or produce excessive whipsaws during ranging markets, Quantum Kernel Trend Pro attempts to balance responsiveness with smoothness by allowing multiple kernel functions and customizable smoothing parameters.
Why This Indicator Was Created
Financial markets constantly alternate between trending and ranging environments. Most classic trend indicators struggle because they either react too slowly, generate excessive false reversals, become noisy during volatility, or repaint historical signals.
Quantum Kernel Trend Pro was created to solve these common problems by combining statistical regression with highly customizable smoothing algorithms.
Its purpose is not to predict the future. Instead, it attempts to estimate the current underlying market direction with greater consistency while helping traders recognize genuine trend transitions.
Core Technology
The indicator is powered by Kernel Regression. Kernel Regression estimates the current fair trend value by assigning different statistical weights to previous candles. Instead of treating every historical candle equally, each candle receives a weight based on its distance from the current bar. Recent candles usually receive larger weights while older candles gradually lose influence. The resulting regression line becomes significantly smoother than price itself while remaining adaptive enough to follow market structure.
Multiple Kernel Functions
One of the strongest features of this indicator is its support for several mathematical kernel models. Available kernels include Gaussian, Epanechnikov, Quartic, Triangular, Cosine, and Rational Quadratic.
Each kernel distributes statistical weights differently. This allows traders to choose between faster response, smoother trends, stronger noise filtering, or longer trend persistence, depending on their trading style.
Preset Configurations
The indicator includes several optimized presets.
Default: Balanced settings suitable for most markets.
Balanced: Provides smoother trend estimation with reduced market noise. Useful for swing trading.
Fast Response (Scalping): Uses a shorter historical window. Responds faster to short-term price changes. Designed for lower timeframes.
Smooth Trend (Swing): Uses much larger historical samples. Produces a very smooth trend suitable for higher timeframe trading.
Custom: Allows complete manual control over every kernel parameter.
Adaptive Trend Line
The colored trend line is the heart of the indicator. Instead of plotting a simple average, it continuously recalculates a kernel regression estimate. When the regression slope is positive, the trend line becomes bullish. When the regression slope turns negative, the trend line becomes bearish. This creates a clean visualization of market direction without constantly changing color from minor price fluctuations.
Trend Reversal Detection
The indicator continuously monitors the slope of the kernel regression. Whenever the slope changes direction on confirmed candles, reversal markers appear. A green triangle confirms a bullish trend transition. A red triangle confirms a bearish trend transition. These markers are generated only after confirmation, reducing premature signals.
Gradient Trend Fill
One of the most visually distinctive features is the gradient fill. Instead of a solid shaded region, the indicator creates multiple fading layers between price and the kernel estimate. This provides immediate visual information about distance between price and trend, momentum strength, trend acceleration, market expansion, and trend compression. The farther price moves from the regression line, the more visually obvious the separation becomes.
Residual Bands
Residual Bands are optional adaptive envelopes built around the kernel estimate. Instead of using standard deviation like Bollinger Bands, these bands measure the average absolute distance between price and the kernel regression. As market volatility expands, the bands widen. As volatility contracts, the bands become narrower. These bands help identify stretched markets, overextended moves, unusually large deviations, and potential mean reversion zones.
Candle Coloring
When enabled, candle colors automatically follow the active trend. A bullish trend shows bullish candle colors. A bearish trend shows bearish candle colors. This allows traders to recognize trend conditions instantly without relying only on the regression line.
Background Coloring
The chart background can also change color according to trend direction. This feature provides an additional visual confirmation of the current market bias while keeping the chart clean.
Flexible Customization
Nearly every component of the indicator can be customized, including price source, kernel function, lookback window, kernel bandwidth, bandwidth multiplier, relative weight, bullish colors, bearish colors, gradient visibility, marker visibility, residual bands, band fill, candle coloring, and background coloring. This makes the indicator suitable for nearly every trading style.
Alerts
The indicator includes built-in alerts for bullish trend started, bearish trend started, trend reversal, upper residual band break, and lower residual band break. These alerts allow traders to automate notifications without continuously monitoring charts.
Best Applications
Quantum Kernel Trend Pro is designed for Forex, Gold (XAUUSD), Indices, Cryptocurrency, Stocks, and Commodities. It can be used across multiple timeframes, from scalping to long-term swing trading, depending on the selected preset.
Trading Philosophy
This indicator is not intended to predict future prices. Its purpose is to mathematically estimate the underlying trend while reducing market noise, allowing traders to make more informed decisions when combined with price action, support and resistance, market structure, liquidity concepts, or their own trading methodology. Like any technical tool, it should be used as part of a complete trading plan rather than as a standalone buy or sell system.
Verification
Quantum Kernel Trend Pro has been independently designed and developed by Michael_Fx_Trader. Every component, including the kernel regression engine, trend-state logic, visualization, parameter organization, gradient rendering, residual band implementation, and overall indicator architecture, has been assembled into a unified proprietary TradingView indicator. The code represents an original implementation created specifically for this project.
Clarification
Developer Clarification, Michael_Fx_Trader
This indicator is an original development created by Michael_Fx_Trader. While it is based on publicly documented mathematical concepts such as kernel regression and standard statistical weighting methods, the complete Pine Script implementation, source code structure, visual presentation, parameter organization, user interface, gradient rendering system, trend-state detection, residual band framework, alert architecture, optimization choices, and overall indicator design were independently written and assembled for this project.
No proprietary source code, protected scripts, premium indicators, or copyrighted implementations were copied, extracted, reverse-engineered, or redistributed during its development. Any mathematical concepts used are well-established methods that are publicly available in academic literature and quantitative finance, while the TradingView implementation itself represents an independent software development effort.
The indicator is provided solely as an analytical tool for educational and market-analysis purposes. It does not guarantee trading performance, future profitability, or investment success. Users remain fully responsible for their own trading decisions, risk management, and financial outcomes. Indikator
Indikator
Indikator
Neural Momentum Matrix AI ProNeural Momentum Matrix AI Pro
Overview
Neural Momentum Matrix AI Pro is an advanced momentum, trend classification, and intelligent signal analysis indicator designed for traders who want significantly more market context than a traditional RSI or standard trend-following indicator can provide.
Instead of relying on a single RSI crossover or a fixed mathematical formula, this indicator builds a multi-dimensional momentum model using several RSI-derived characteristics simultaneously. It evaluates historical market behaviour, compares the current market structure with similar situations from the past, ranks the quality of those similarities, measures confidence, classifies the prevailing trend, and dynamically adapts its behaviour according to changing market conditions.
The goal is not to predict the future with certainty, but to provide traders with an objective framework for identifying high-quality trading opportunities while filtering out low-probability market noise.
This indicator combines momentum analysis, adaptive trend detection, confidence scoring, market regime classification, and intelligent filtering into one complete trading system.
Why This Indicator Was Created
Many traditional indicators suffer from several common weaknesses.
They usually generate signals solely from:
RSI crossing 30 or 70
Moving average crossovers
Standard Supertrend flips
Fixed momentum thresholds
These approaches often generate excessive false signals during ranging markets, high volatility spikes, or weak momentum environments.
Neural Momentum Matrix AI Pro was designed to solve these limitations.
Instead of reacting to one condition, it evaluates multiple momentum characteristics simultaneously and attempts to determine whether today's market behaviour resembles previous high-quality bullish or bearish situations.
This allows traders to focus on stronger opportunities rather than every market fluctuation.
Core Concept
The indicator is built around the idea that markets frequently repeat similar momentum behaviour.
Rather than simply asking:
"Is RSI above 70?"
the indicator asks questions such as:
Has this momentum pattern appeared before?
How similar is today's structure to previous bullish situations?
How many historical examples agree?
How confident is the overall momentum?
Is volatility healthy?
Is the market trending or ranging?
Does the adaptive trend engine confirm the direction?
Is current momentum strengthening or weakening?
Only after evaluating these conditions does the indicator classify market direction.
Multi-Dimensional Momentum Analysis
Unlike a traditional RSI that only measures momentum strength, this indicator extracts multiple characteristics from RSI, including:
Current RSI value
RSI slope
RSI acceleration
Distance from equilibrium
Relative percentile position
Momentum volatility
Fast vs Slow RSI relationship
Momentum regime
Together these create a much richer description of market behaviour than a single RSI line alone.
Intelligent Historical Pattern Recognition
One of the core concepts behind this indicator is historical pattern comparison.
The indicator continuously compares the current momentum structure with previously observed market behaviour.
Rather than using a fixed mathematical crossover, it evaluates which historical momentum environments most closely resemble the present market.
Those historical analogs collectively influence the current directional bias.
This allows the system to adapt to changing market behaviour rather than depending on rigid rules.
Dynamic Trend Classification
The trend engine is designed to adapt according to changing market conditions.
Instead of maintaining a constant trailing distance, the adaptive trend line expands or contracts based on:
Momentum quality
Confidence
Trend strength
Market conditions
Volatility
Historical agreement
This creates a trailing structure that reacts differently during:
Strong trends
Weak trends
High volatility
Low volatility
Choppy markets
The result is a cleaner representation of market direction with fewer unnecessary reversals.
Neural Momentum Matrix
The lower panel acts as an advanced momentum dashboard.
It provides traders with a visual representation of:
Current momentum
Signal line
Overbought region
Oversold region
Momentum transitions
Strength changes
Trend continuation
Potential exhaustion
Instead of using simple oscillator readings, the indicator smooths and refines momentum to reduce unnecessary fluctuations while maintaining responsiveness.
Confidence & Rank System
Every potential signal is evaluated using an internal quality scoring system.
Two independent measurements help determine whether a setup deserves attention.
Rank
Rank estimates the overall quality of the current setup by evaluating:
Historical similarity
Trend alignment
Momentum quality
Volatility conditions
Market structure
Stability
Directional consistency
Higher Rank generally represents stronger overall trading conditions.
Confidence
Confidence measures how strongly historical comparisons agree with one another.
Higher confidence indicates that the internal momentum model shows greater agreement regarding current market direction.
This helps traders distinguish stronger opportunities from weaker or conflicting market conditions.
Trend Dashboard
The information panel provides a quick summary of the current market state.
It displays:
Current Trend
Confidence Score
Rank Score
Market Regime
This allows traders to assess overall market quality at a glance without analysing multiple indicators separately.
Adaptive Signal Filtering
The indicator intentionally avoids generating signals in poor trading environments whenever possible.
Multiple filters work together to reduce unnecessary entries, including:
Trend alignment
Volatility filtering
Market condition evaluation
Momentum confirmation
Historical agreement
Signal persistence
Cooldown between signals
This helps reduce false signals during sideways or unstable market conditions.
Visual Design
The indicator was designed for clarity as well as analysis.
Visual components include:
Adaptive trend cloud
Dynamic trailing stop
Bullish trend visualization
Bearish trend visualization
Long signal markers
Short signal markers
Momentum oscillator
Signal line
Market dashboard
Confidence matrix
These elements allow traders to understand the market without overcrowding the chart.
Best Applications
Neural Momentum Matrix AI Pro is suitable for:
Forex
Gold (XAUUSD)
Indices
Cryptocurrencies
Commodities
Stocks
It can be used across multiple timeframes depending on the trader's style, including scalping, intraday trading, swing trading, and higher-timeframe trend analysis.
Intended Purpose
The primary objective of this indicator is to help traders:
Identify stronger trend conditions
Evaluate momentum quality
Reduce low-quality entries
Improve trend confirmation
Measure market confidence
Understand current market regime
Combine momentum with adaptive trend analysis inside a single professional tool
Rather than replacing a complete trading plan, it is designed to provide an additional layer of structured market analysis that traders can combine with their own risk management, price action, and trading strategy.
Verification
This indicator has been independently designed and developed by Michael_Fx_Trader. Every calculation, workflow, visual component, analytical model, and overall implementation has been created specifically for this project. It reflects the developer's own design decisions, research, coding approach, and market analysis methodology.
Developer Clarification
Michael_Fx_Trader confirms that this indicator is presented as an original work developed through independent research, programming, testing, and refinement. The project has been engineered from the ground up using the developer's own implementation, structure, architecture, calculations, visualization system, and analytical framework. It is not a copied, cloned, decompiled, or redistributed version of another author's script, and no proprietary or copyrighted source code has been intentionally reproduced.
The concepts used within this indicator—such as momentum analysis, adaptive trend following, volatility filtering, and historical pattern comparison—are well-known analytical ideas commonly discussed in the trading community. However, the specific way these ideas are combined, organized, implemented, optimized, and presented in this indicator represents the developer's own original work.
The source code, internal logic, parameter organization, user interface, scoring methodology, visual presentation, and overall software design were independently written and assembled by Michael_Fx_Trader. This publication is intended to comply with TradingView House Rules regarding originality and intellectual property, and any resemblance to general trading concepts reflects the use of publicly known analytical principles rather than the reproduction of another author's protected implementation. Users should evaluate the indicator independently and use it as an analytical aid alongside their own trading judgment and risk management. Indikator
Indikator
Indikator
