Moving Averages PowerMoving Averages Power — Trend + Normalized Strength
Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact table with each MA’s:
Slope % (per-bar)
Trend (Bullish/Bearish/Neutral)
Normalized “Strength” bars comparable across MA lengths and, optionally, across timeframes via ATR%
Not financial advice. For research/education only.
What it does
Plots 15 SMA lines on the price chart
Colors match trend: Bullish (green), Bearish (red), Neutral (gray)
Bottom-right table: MA, Slope %, Trend, Strength bars
Strength normalization modes:
None: raw |slope%|
Length: scales by length relative to a reference length
ATR%: scales by volatility (ATR as % of price)
Length+ATR%: combines both for better cross-timeframe comparability
How it works (concepts)
Slope % per bar: 100 × (MA − MA ) / MA
Normalization:
None: S = |slope%|
Length: S = |slope%| × (length / normRefLen)
ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close
Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR%
Bars: floor(S / strengthStep), clamped to Max bars (default 10)
Notes:
normRefLen (default 240) keeps Length scaling stable across very short and very long MAs
In ATR modes, Strength shows blank until there’s enough history for ATR
How to use
Add the indicator to your chart (Indicators → search this title → Add).
Open Settings:
Show/hide any of the 15 SMAs
Choose Strength normalization mode
Tune Strength step, Max bars, Reference length, and ATR Length
Read the table:
MA: period
Slope %: per-bar percent change of the MA
Trend: green (bullish), red (bearish), gray (neutral)
Strength: more bars = stronger trend under the chosen normalization
Inputs (quick reference)
Display:
15 toggles: Show SMA 5 … Show SMA 4320
Strength Settings:
Strength normalization: None | Length | ATR% | Length+ATR%
Strength step (normalized units): sensitivity of bar count
Max bars: clamp for the bar count (default 10)
Normalization reference length: baseline for Length scaling (default 240)
ATR Length (for ATR%): ATR lookback used for ATR%
Text:
Label font size, Table font size
Line + label colors
Bullish (slope > 0): green
Bearish (slope < 0): red
Neutral (otherwise): gray
The MA lines, end-of-series labels, and table trend cell use the same colors
Recommended presets (examples)
Intraday (e.g., BTCUSD, 1h):
Strength normalization: Length+ATR%
normRefLen: 240
Strength step: 0.02–0.05
Max bars: 10
ATR Length: 14
Daily (e.g., AAPL, 1D):
Strength normalization: Length
normRefLen: 240–480
Strength step: 0.01–0.03
Max bars: 10
Calibration tips
Bars often at max (pegged)?
Increase Strength step (e.g., 0.01 → 0.03 → 0.05)
Or increase normRefLen (e.g., 240 → 480 → 720)
Bars too few?
Decrease Strength step (e.g., 0.02 → 0.01 → 0.005)
Or decrease normRefLen (e.g., 240 → 120)
Cross-timeframe comparability:
Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune
Limitations
SMA only (no EMA/WMA/etc.)
Per-bar slope is inherently timeframe-sensitive; use ATR% or Length+ATR% for better cross-timeframe comparisons
ATR modes require atrLen bars; Strength shows blank until ready
The longest SMA (4320) needs sufficient chart history
Troubleshooting
Strength always looks maxed:
You might be on Length mode with a very small step; increase Strength step and/or use Length+ATR%; review normRefLen
Strength blank cells:
In ATR modes, wait for enough history (atrLen) or switch to Length mode
Table bounds:
The script manages rows internally; if you customize periods, ensure the total rows fit the 4×16 table
Compatibility
Pine Script v6
Works on most symbols/timeframes with adequate history
If you find this useful, consider leaving feedback with your preferred defaults (symbol/timeframe) so I can provide better presets.
אינדיקטורים ואסטרטגיות
Custom Stock Indicator with Bollinger Bands9, 20, 50, 200 sma, Bollinger bands, MACD bullish crossover signal (blue dot) and candle counting
This TradingView indicator overlays on the price chart to provide trend analysis, volatility bands, momentum signals, and a consecutive candle counter for bullish sequences above the 9-period SMA. Key features include:
Moving Averages:
9-period SMA (green line).
50-period SMA (orange line).
200-period SMA (red line).
20-period SMA (yellow line, used as Bollinger Bands basis).
Bollinger Bands:
Standard 20-period SMA basis with 2 standard deviations.
Gray upper and lower bands with a semi-transparent gray fill (90% transparency) for volatility visualization.
MACD Bullish Crossover Signal:
Uses default MACD (12, 26, 9).
Tiny electric blue circles plotted below the bar (shifted down by 2 bars) when the MACD line crosses above the signal line, indicating potential bullish momentum.
Candle Counter for Bullish Sequence:
Activates only when SMA9 > SMA200 (alignment condition).
Starts/Increments: When the entire candle (including wicks: low > SMA9) fully closes above the SMA9.
Stops/Resets: When the entire candle (high < SMA9) fully closes below SMA9.
Straddling Candles (overlapping SMA9): Continues incrementing the count if the sequence has already started; otherwise, stays at 0.
Displays small white number labels (e.g., "1", "2") above the high of the current bar if count > 0, ensuring immediate visual feedback on historical and real-time bars.
The script is lightweight, focuses on bullish confirmation (e.g., for stocks like AMD), and avoids clutter by using tiny shapes and transparent fills. It evaluates conditions on the current bar for accurate historical counting without delays. No RSI signals are included, as per the latest updates. To use, paste into TradingView's Pine Editor and apply to a chart.
Candlestick Body Ratio with MAHow It Works (Brief Overview):
It computes the ratio of the candle’s body size to its total range (high–low).
• A ratio close to 1 means a strong, decisive candle.
• A ratio near 0 means a weak or indecisive candle (like a doji).
• Visual Output:
• Plots the body ratio as an orange line. (Black Histogram)
• Optionally marks strong-bodied candles with a green triangle above the bar. (Orange Diamond)
Why It’s Useful:
Helps identify momentum candles with conviction. Filters out weak signals in breakout or reversal strategies. Can be combined with divergence or volume tools for confluence.
Think Like A Market Maker: ThePipAssassin
Order Imbalance Radar
🧭 Overview
Order Imbalance Radar is a sophisticated volume–flow and imbalance detection system designed to visualize real-time shifts in buyer–seller dominance, absorption events, and market equilibrium. It combines delta-volume analysis, volatility filtering, and orderflow-style signals to help identify high-probability zones of reversal, continuation, or liquidity imbalance.
The indicator includes a top-right analytical dashboard, visual imbalance bubbles, and multiple overlays (absorption, overbought/oversold hotspots, equilibrium ribbon, liquidity sweeps, and session delta tracking).
⚙️ Core Logic & Signal Framework
1. Delta Volume Z-Score Model
Calculates delta (buy vs. sell volume) per bar based on directional close changes.
Uses a z-score normalization of delta over a user-defined lookback (zLookback) to detect statistically significant imbalances.
Highlights two tiers of imbalance:
Normal Imbalance (|z| ≥ zThresh1)
Big Imbalance (|z| ≥ zThresh2)
Filters results by requiring volume ≥ moving average × minVolMul.
Optionally limits signals to volatility squeeze conditions (via Bollinger Band width).
Visual Output:
✅ Green/red bar tints show intensity of buyer/seller imbalance.
🟢/🔴 Circle bubbles with Δ and Z-score values mark detected imbalances.
2. Absorption Detection
Detects bars where price rejects continuation despite high delta extremes, suggesting absorption of aggressive orders by passive liquidity.
Conditions:
|zΔ| exceeds absorbZ threshold
Candle body ≤ % of total range
Opposite wick ≥ % of range
Markers:
🟢 “ABSORB↑” below bars = buyer absorption (sellers absorbed)
🔴 “ABSORB↓” above bars = seller absorption (buyers absorbed)
3. OB/OS Hotspots
Integrates RSI and Bollinger Band positioning to identify volume-confirmed overbought/oversold zones.
Overbought → RSI ≥ rsiOB and price above upper band or high volume.
Oversold → RSI ≤ rsiOS and price below lower band or high volume.
Markers:
🔶 “OB” for overbought zones
🟩 “OS” for oversold zones
These can indicate short-term exhaustion points, particularly when confluenced with imbalance or absorption.
4. Liquidity Sweeps
Identifies stop-hunts / failed breakouts within recent swing lookback:
Sweep Up: Price makes a higher high but closes below previous swing → likely liquidity grab above highs.
Sweep Down: Price makes a lower low but closes above previous swing → liquidity grab below lows.
Markers:
“SW↑” (yellow) = bullish sweep
“SW↓” (yellow) = bearish sweep
5. Equilibrium Map & Ribbon
Analyzes rolling imbalance ratio (Δ / total volume) over a sliding window to gauge market equilibrium vs. imbalance bias.
Plots a dynamic ribbon above price scaled by ATR.
Ribbon color:
🟢 = buyer-dominant imbalance
🔴 = seller-dominant imbalance
Gray band marks the equilibrium zone (|imbalance| ≤ eqBand).
Fuchsia “FLIP” marker signals a change in imbalance polarity.
This provides a macro order-flow bias visualization.
6. Session Dashboard (Top-Right)
Compact dashboard showing real-time flow metrics within a defined trading session (e.g., 09:30–16:00):
Metric Description
Session Δ Total cumulative delta since session start
Bar Δ Current bar delta (buy vs. sell flow)
Bar Vol Bar volume relative to average
Absorb “BUY” / “SELL” / “—”
Hotspot “OB” / “OS” / “—”
Sweep “UP” / “DN” / “—”
Imb % / Eq Imbalance ratio & equilibrium state
Colors dynamically adapt to flow direction (green/red/fuchsia/gray).
7. CumDelta Line
Optional cumulative delta plot for continuous volume-flow tracking.
Helps confirm bias shifts and divergence vs. price.
🧩 Alerts
Pre-built alert conditions for all key events:
Buyer/Seller Imbalances
BIG Buyer/Seller Imbalances
Absorption (Buy/Sell)
Hotspot Overbought/Oversold
Liquidity Sweeps (Up/Down)
Equilibrium Flips
These allow automated alerts for advanced orderflow setups or backtesting triggers.
For More Premium Indicators please visit whop.com
NSR FVG High Time FramesIndicator Name : NSR FVG High Time Frames
Short Title : NSR FVGHTF
Description :The NSR FVG High Time Frames indicator identifies and visualizes Fair Value Gaps (FVGs) on higher timeframes (4-hour, Daily, and Weekly) directly on your chart. FVGs are price gaps formed between the high and low of non-consecutive candles, often indicating areas of market inefficiency that price may revisit. This indicator is designed for traders who incorporate multi-timeframe analysis into their strategies, providing a clear visual representation of bullish and bearish FVGs with customizable settings.
Unique Feature :Unlike traditional FVG indicators that mark a gap as closed when the current candle’s close crosses the gap’s boundaries, NSR FVG High Time Frames employs a distinctive closure logic. It allows an additional candle to determine whether the price re-enters the gap or continues beyond it. This approach provides a more nuanced assessment of gap closure, potentially reducing false signals by giving the market an extra candle to confirm its direction. This feature makes the indicator particularly suitable for traders seeking to validate FVG interactions with greater precision.
Key Features :
Multi-Timeframe Support : Detects FVGs on 4-hour, Daily, and Weekly timeframes, with options to enable or disable each timeframe.
Customizable Appearance : Users can adjust the visual style (Line, Dotted, Dashed) and colors for bullish and bearish FVGs, as well as enable/disable extension of FVG boxes to the right.
Flexible Lookback : Configurable lookback periods for entry (up to 10,000 candles) and FVG detection (up to 70 FVGs), allowing users to tailor the indicator to their trading style.
Minimum FVG Size : Set a minimum gap size (in ticks) to filter out insignificant FVGs, ensuring only meaningful gaps are displayed.
Closed FVG Removal : Option to automatically remove closed FVGs from the chart for a cleaner view.
Alert Integration : Generates alerts for new FVGs and changes in their status (e.g., verified, partial, closed), enabling traders to set up custom notifications.
How to Use :
Add to Chart : Apply the indicator to any chart. It works best on lower timeframes (e.g., 1H, 4H) to visualize higher-timeframe FVGs.
Configure Settings : Adjust the inputs in the settings panel:
Enable/disable 4-hour, Daily, or Weekly FVGs based on your analysis needs.
Set the lookback periods and minimum FVG size to match your trading strategy.
Customize colors and line styles for better chart readability.
Interpret FVGs :
Bullish FVGs (green boxes): Represent gaps where price may act as support, potentially attracting price back to the gap.
Bearish FVGs (red boxes): Represent gaps where price may act as resistance.
Boxes are drawn between the relevant high and low of the candles forming the FVG, with text labels indicating the timeframe (e.g., "4H", "D", "Weekly").
Monitor Closure : Watch for price interaction with FVGs. The indicator considers an FVG closed only after an additional candle confirms the price has moved beyond the gap or failed to re-enter it, unlike standard FVG indicators.
Set Alerts : Use the alert feature to receive notifications when new FVGs form or their status changes (e.g., "partial" or "closed").
Settings :
Entry Lookback (candles) : Number of candles to look back for FVG detection (default: 10,000).
Number of FVG to Lookback : Maximum number of FVGs to display (default: 70).
Minimum FVG Size : Minimum gap size in ticks (default: 5).
Remove Closed : Toggle to remove closed FVGs from the chart (default: true).
Show/Extend 4Hour/Daily/Weekly : Enable/disable FVGs for each timeframe and choose whether to extend boxes to the right.
Color and Style Options : Customize fill and border colors, and select line styles (Line, Dotted, Dashed) for each timeframe.
Use Cases :
Swing Trading : Identify potential support/resistance zones on higher timeframes for entry or exit points.
Price Action Analysis : Use FVGs to confirm market inefficiencies or reversal zones.
Multi-Timeframe Strategies : Combine with lower-timeframe indicators to align entries with higher-timeframe FVGs.
Notes :
The indicator is optimized for lower timeframes to display higher-timeframe FVGs. Avoid using it on Weekly or Monthly charts for Daily/Weekly FVGs to prevent overlap issues.
The unique closure logic may delay FVG closure signals compared to other indicators, which can help filter out premature closures but requires patience for confirmation.
Performance may vary on very low timeframes with large lookback periods due to the number of FVGs processed.
Disclaimer :This indicator is for informational purposes only and does not constitute financial advice. Always conduct your own analysis and test the indicator thoroughly before using it in live trading.
Arcane Market Structure + Key LevelsThe Arcane Market Structure + Key Levels script is built to help traders decode real-time structure shifts, key support/resistance levels, and market intent. This tool draws from the Arcane Model’s proprietary trading framework—refined over 7+ years of backtesting and live execution.
It detects:
• Highs/lows that define expansion, manipulation, and distribution cycles
• Dynamic support/resistance zones based on 15m fair value gaps
• Session-based levels and structure breaks for intraday context
Whether you’re trading Prop Firm or Live accounts, this script helps simplify decision-making by visualizing the cleanest levels and directional flows on your chart.
Use it to:
✅ Confirm entries near liquidity levels
✅ Spot structural breaks aligned with volume and price action
✅ Build confluence with ICT, FVG, or manipulation-based setups
For traders mastering the Arcane Model or building systematic edge, this is a must-have chart companion.
NFTs vs SOL - Momentum Divergence RadarSee when NFT activity (proxy volumes) leads or lags SOL momentum
About:
A TradingView indicator that normalizes SOL momentum and a composite NFT proxy volume into comparable z-scores, then plots their difference (divergence). You get zero-line cross signals (“lead/lag”) and a rolling correlation table to judge regime quality.
What it does (concept):
SOL side: Rate of Change of SOL (ROC(len_mom)) → standardized over len_z → smoothed (smooth) → sol_z.
NFT side: Weighted sum of proxy volumes (BLUR, LOOKS, TNSR, MAGIC, APE, optional ME & PENGU) → log() to tame skew → standardized over len_z → smoothed → v_z.
Divergence: div = v_z - sol_z.
div > 0 → NFT activity is stronger than SOL momentum (possible lead).
div < 0 → NFT activity weaker than SOL momentum (possible lag).
On-chart elements
Orange histogram: div (NFT volume Z − SOL momentum Z).
Purple line: v_z (NFT composite activity).
Blue line: sol_z (SOL momentum).
Green/Red triangles: Zero-line crosses of div → lead (up) / lag (down).
Top-right table: Rolling Pearson correlation (len_z) + list of active proxies (non-blank & weight ≠ 0).
How to use (quick start):
Add to chart on your timeframe (30m–1D are common).
Fill proxy symbols with exchange prefixes (e.g., KUCOIN:BLURUSDT, GATEIO:LOOKS_USDT, MEXC:TNSR_USDT, OKX:MAGIC-USDT). Leave ME/PENGU blank until you have the exact tickers.
Set weights to reflect relevance/liquidity (start at 1; set 0 to exclude).
Trade the crosses with context:
Lead (↑0): NFTs heating up vs SOL → look for long setups if price structure agrees.
Lag (↓0): NFTs cooling vs SOL → reduce risk/hedge or look for shorts in downtrends.
Consult correlation:
High (+0.5~1): Both move together; rely more on cross timing than magnitude.
Low/negative: Decoupling regime; divergence magnitude gains importance.
Settings (what they mean):
SOL Symbol (sol_tkr) – Default BINANCE:SOLUSDT.
Proxy symbols (*_sym) – Enter exchange:pair strings; blank = ignored.
Weights (w_*) – Linear weights before log; emphasize reliable/liquid proxies.
Momentum Length (len_mom, 14) – ROC lookback for SOL. Bigger = smoother/slower.
Z-Score Length (len_z, 50) – Window for mean/stdev and correlation. Bigger = more stable normalization.
Smoothing (smooth, 5) – SMA applied to both z-scores to cut noise.
Preset ideas:
Swing (1D/4H): len_mom=14, len_z=100, smooth=7; BLUR=1, LOOKS=1, TNSR=1, MAGIC=0.5, APE=0.5.
Active (2H/1H): len_mom=10, len_z=50, smooth=5; same weights; alert on lead.
Reading the signals (playbook)
Fresh Lead (div crosses ↑0): Accumulation/participation rising; enter on pullbacks or structure breaks; confirm with volume/HTF trend.
Persistent Positive div: Momentum follow-through likely; trail stops below swing structure.
Fresh Lag (div crosses ↓0): Early cooling; take profits, tighten stops, or rotate.
Extreme bars (|div| > ~2): Outlier conditions; expect mean-reversion or breakout continuation—use price action to decide.
Re-cross whipsaws: Filter with higher smooth or require bar close confirmation.
Practical notes & tips:
Symbol validity: Always use exchange prefixes. If a token is unavailable on your TV plan/exchange, leave it blank (script treats it as zero volume).
Liquidity bias: Thin alts can distort the composite; set their weights low or 0.
Timeframe consistency: All request.security() calls run at the chart TF—no lower-TF aggregation.
Risk management: Treat crosses as context, not standalone buy/sell. Combine with S/R, trend filters, ATR stops, and volume profile.
Alerts (recommended):
Lead Cross Up: div crosses above 0.
Lag Cross Down: div crosses below 0.
Extreme Divergence: div > +2 or div < −2 (user threshold).
(Add alertcondition() lines if you want hard alerts.)
Troubleshooting
“Invalid symbol” popup: The input contains an unsupported/typo ticker. Use exact EXCHANGE:SYMBOL (e.g., OKX:MAGIC-USDT, not MAGICUSDT). Leave fields blank if unsure.
Flat/NaN early bars: Not enough history for len_z—normal; resolves as data accumulates.
No proxies listed in table: Ensure at least one proxy is non-blank and weight ≠ 0.
Limitations:
Proxy selection matters; if the set doesn’t reflect current NFT flow, signals degrade.
Z-scoring assumes local stationarity; regime shifts compress/expand readings.
Exchange symbol formats vary (- vs _); match TradingView exactly.
Changelog:
v1.2 (2025-10-14): Stability pass, proxy inputs default to blank to avoid symbol errors; refined table; kept v5 compatibility logic.
ILM Checklist [Nix]ILM Checklist and Ratings Indicator!
This is a checklist type guide for those that trade the ILM model and are having trouble rating setups on their own.
You can double click on the checklist to open its settings where you can select all the confluences you see on the chart while a setup is forming.
Then the checklist will give you a mechanical estimate of what rating would Nix give it.
Obviously discretion is important as an A+ mechanical setup if still an F setup if you are executing it during a news event.
I have also added a dark / light mode theme toggle to suit your chart.
Лунный Индикатор с RSI и Импульсными АлертамиЭтот индикатор для TradingView сочетает астрономические данные о фазах Луны с техническим анализом (RSI) для выявления потенциальных импульсных движений на рынках, таких как S&P 500 (SPY) и Bitcoin (BTCUSD). Он основан на исторических корреляциях: повышенная доходность и импульсы вверх вокруг новой Луны, а также рост волатильности и риски падений около полнолуния. Индикатор помогает трейдерам получать алерты о возможных торговых возможностях, фильтруя сигналы через RSI для большей точности.
Ключевые функции:
Расчёт фазы Луны: Использует формулу Julian Day для определения текущей фазы (0% — новая Луна, 50% — полнолуние, 100% — следующая новая). Референс: новая Луна 6 января 2000 г. (JD ≈ 2451550.2597). Длина цикла — 29.530588 дней.
Визуализация:
Линия "Фаза Луны (%)" (синяя) отображает фазу в процентах.
Метки на графике: 🌑 Новая (0-3.3% или >96.7%), 🌓 1-я четверть (21.7-28.3%), 🌕 Полная (46.7-53.3%), 🌗 Последняя четверть (71.7-78.3%).
Линия RSI (оранжевая) для мониторинга перекупленности/перепроданности (период настраивается, по умолчанию 14).
Сигналы и алерты (на основе исторических паттернов):
Новая Луна: Алерты о потенциале импульса вверх, если RSI < 50 (не перекуплено). Исторически: выше доходность для S&P 500 и BTC (bullish реверсы). Фон — зелёный.
Полнолуние: Алерты о рисках волатильности/падения, если RSI > 50 (перекуплено). Исторически: sharp moves для BTC, ниже доходность для S&P. Фон — красный.
Алерты срабатывают на переходах фаз (с помощью ta.change), чтобы избежать повторений.
Настройки:
Период RSI: Изменяйте в input для адаптации под таймфрейм (рекомендуется D1 или H4 для лунных циклов).
Как использовать:
Добавьте индикатор на график SPY или BTCUSD.
Настройте алерты в TradingView для уведомлений.
Тестируйте на исторических данных: проверьте корреляции с реальными движениями цен.
Важно: Это не финансовая рекомендация. Рынки непредсказуемы; комбинируйте с другими инструментами. Точность фазы ±1 день; для идеальной — обновите ref_jd по актуальным данным.
Источник данных: Основан на астрономических формулах и исследованиях корреляций Луны с рынками (например, из JSTOR, SSRN). Разработано для образовательных целей.
Description of the Indicator: Lunar Indicator with RSI and Impulse Alerts
Overview:
This TradingView indicator combines astronomical data on lunar phases with technical analysis (RSI) to identify potential impulse movements in markets like S&P 500 (SPY) and Bitcoin (BTCUSD). It is based on historical correlations: higher returns and upward impulses around the new moon, as well as increased volatility and downside risks near the full moon. The indicator helps traders receive alerts about possible trading opportunities, filtering signals through RSI for greater accuracy.
Key Features:
Lunar Phase Calculation: Uses the Julian Day formula to determine the current phase (0% — new moon, 50% — full moon, 100% — next new moon). Reference: new moon on January 6, 2000 (JD ≈ 2451550.2597). Cycle length — 29.530588 days.
Visualization:
"Moon Phase (%)" line (blue) displays the phase in percentages.
Chart labels: 🌑 New (0-3.3% or >96.7%), 🌓 First Quarter (21.7-28.3%), 🌕 Full (46.7-53.3%), 🌗 Last Quarter (71.7-78.3%).
RSI line (orange) for monitoring overbought/oversold conditions (period adjustable, default 14).
Signals and Alerts (Based on Historical Patterns):
New Moon: Alerts for potential upward impulse if RSI < 50 (not overbought). Historically: higher returns for S&P 500 and BTC (bullish reversals). Background — green.
Full Moon: Alerts for volatility/downside risks if RSI > 50 (overbought). Historically: sharp moves for BTC, lower returns for S&P. Background — red.
Alerts trigger on phase transitions (using ta.change) to avoid repetitions.
Settings:
RSI Period: Adjust in input to adapt to timeframe (recommended D1 or H4 for lunar cycles).
How to Use:
Add the indicator to a SPY or BTCUSD chart.
Set up alerts in TradingView for notifications.
Test on historical data: check correlations with real price movements.
Important: This is not financial advice. Markets are unpredictable; combine with other tools. Phase accuracy ±1 day; for perfection — update ref_jd based on current data.
Data Source: Based on astronomical formulas and studies on lunar correlations with markets (e.g., from JSTOR, SSRN). Developed for educational purposes.
LEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell RadarLEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell Radar
One line summary
LEGEND IsoPulse Fusion reads intent from price and volume together, learns which features matter most on your symbol, blends them into a single signed Fusion line in a stable unit range, and emits clear Buy Sell Close events with a structure gate and a liquidity safety gate so you act only when the tape is favorable.
What this script is and why it exists
Many traders keep separate windows for trend, volume, volatility, and regime filters. The result can feel fragmented. This script merges two complementary engines into one consistent view that is easy to read and simple to act on.
LEGEND Tensor estimates directional quality from five causally computed features that are normalized for stationarity. The features are Flow, Tail Pressure with Volume Mix, Path Curvature, Streak Persistence, and Entropy Order.
IsoPulse transforms raw volume into two decaying reservoirs for buy effort and sell effort using body location and wick geometry, then measures price travel per unit volume for efficiency, and detects volume bursts with a recency memory.
Both engines are mapped into the same unit range and fused by a regime aware mixer. When the tape is orderly the mixer leans toward trend features. When the tape is messy but a true push appears in volume efficiency with bursts the mixer allows IsoPulse to speak louder. The outcome is a single Fusion line that lives in a familiar range with calm behavior in quiet periods and expressive pushes when energy concentrates.
What makes it original and useful
Two reservoir volume split . The script assigns a portion of the bar volume to up effort and down effort using body location and wick geometry together. Effort decays through time using a forgetting factor so memory is present without becoming sticky.
Efficiency of move . Price travel per unit volume is often more informative than raw volume or raw range. The script normalizes both sides and centers the efficiency so it becomes signed fuel when multiplied by flow skew.
Burst detection with recency memory . Percent rank of volume highlights bursts. An exponential memory of how recently bursts clustered converts isolated blips into useful context.
Causal adaptive weighting . The LEGEND features do not receive static weights. The script learns, causally, which features have correlated with future returns on your symbol over a rolling window. Only positive contributions are allowed and weights are normalized for interpretability.
Regime aware fusion . Entropy based order and persistence create a mixer that blends IsoPulse with LEGEND. You see a single line rather than two competing panels, which reduces decision conflict.
How to read the screen in seconds
Fusion area . The pane fills above and below zero with a soft gradient. Deeper fill means stronger conviction. The white Fusion line sits on top for precise crossings.
Entry guides and exit guides . Two entry guides draw symmetrically at the active fused entry level. Two exit guides sit inside at a fraction of the entry. Think of them as an adaptive envelope.
Letters . B prints once when the script flips from flat to long. S prints once when the script flips from flat to short. C prints when a held position ends on the appropriate side. T prints when the structure gate first opens. A prints when the liquidity safety flag first appears.
Price bar paint . Bars tint green while long and red while short on the chart to mirror your virtual position.
HUD . A compact dashboard in the corner shows Fusion, IsoPulse, LEGEND, active entry and exit levels, regime status, current virtual position, and the vacuum z value with its avoid threshold.
What signals actually mean
Buy . A Buy prints when the Fusion line crosses above the active entry level while gates are open and the previous state was flat.
Sell . A Sell prints when the Fusion line crosses below the negative entry level while gates are open and the previous state was flat.
Close . A Close prints when Fusion cools back inside the exit envelope or when an opposite cross would occur or when a gate forces a stop, and the previous state was a hold.
Gates . The Trend gate requires sufficient entropy order or significant persistence. The Avoid gate uses a liquidity vacuum z score. Gates exist to protect you from weak tape and poor liquidity.
Inputs and practical tuning
Every input has a tooltip in the script. This section provides a concise reference that you can keep in mind while you work.
Setup
Core window . Controls statistics across features. Scalping often prefers the thirties or low fifties. Intraday often prefers the fifties to eighties. Swing often prefers the eighties to low hundreds. Smaller responds faster with more noise. Larger is calmer.
Smoothing . Short EMA on noisy features. A small value catches micro shifts. A larger value reduces whipsaw.
Fusion and thresholds
Weight lookback . Sample size for weight learning. Use at least five times the horizon. Larger is slower and more confident. Smaller is nimble and more reactive.
Weight horizon . How far ahead return is measured to assess feature value. Smaller favors quick reversion impulses. Larger favors continuation.
Adaptive thresholds . Entry and exit levels from rolling percentiles of the absolute LEGEND score. This self scales across assets and timeframes.
Entry percentile . Eighty selects the top quintile of pushes. Lower to seventy five for more signals. Raise for cleanliness.
Exit percentile . Mid fifties keeps trades honest without overstaying. Sixty holds longer with wider give back.
Order threshold . Minimum structure to trade. Zero point fifteen is a reasonable start. Lower to trade more. Raise to filter chop.
Avoid if Vac z . Liquidity safety level. One point two five is a good default on liquid markets. Thin markets may prefer a slightly higher setting to avoid permanent avoid mode.
IsoPulse
Iso forgetting per bar . Memory for the two reservoirs. Values near zero point nine eight to zero point nine nine five work across many symbols.
Wick weight in effort split . Balance between body location and wick geometry. Values near zero point three to zero point six capture useful behavior.
Efficiency window . Travel per volume window. Lower for snappy symbols. Higher for stability.
Burst percent rank window . Window for percent rank of volume. Around one hundred to three hundred covers most use cases.
Burst recency half life . How long burst clusters matter. Lower for quick fades. Higher for cluster memory.
IsoPulse gain . Pre compression gain before the atan mapping. Tune until the Fusion line lives inside a calm band most of the time with expressive spikes on true pushes.
Continuation and Reversal guides . Visual rails for IsoPulse that help you sense continuation or exhaustion zones. They do not force events.
Entry sensitivity and exit fraction
Entry sensitivity . Loose multiplies the fused entry level by a smaller factor which prints more trades. Strict multiplies by a larger factor which selects fewer and cleaner trades. Balanced is neutral.
Exit fraction . Exit level relative to the entry level in fused unit space. Values around one half to two thirds fit most symbols.
Visuals and UX
Columns and line . Use both to see context and precise crossings. If you present a very clean chart you can turn columns off and keep the line.
HUD . Keep it on while you learn the script. It teaches you how the gates and thresholds respond to your market.
Letters . B S C T A are informative and compact. For screenshots you can toggle them off.
Debug triggers . Show raw crosses even when gates block entries. This is useful when you tune the gates. Turn them off for normal use.
Quick start recipes
Scalping one to five minutes
Core window in the thirties to low fifties.
Horizon around five to eight.
Entry percentile around seventy five.
Exit fraction around zero point five five.
Order threshold around zero point one zero.
Avoid level around one point three zero.
Tune IsoPulse gain until normal Fusion sits inside a calm band and true squeezes push outside.
Intraday five to thirty minutes
Core window around fifty to eighty.
Horizon around ten to twelve.
Entry percentile around eighty.
Exit fraction around zero point five five to zero point six zero.
Order threshold around zero point one five.
Avoid level around one point two five.
Swing one hour to daily
Core window around eighty to one hundred twenty.
Horizon around twelve to twenty.
Entry percentile around eighty to eighty five.
Exit fraction around zero point six zero to zero point seven zero.
Order threshold around zero point two zero.
Avoid level around one point two zero.
How to connect signals to your risk plan
This is an indicator. You remain in control of orders and risk.
Stops . A simple choice is an ATR multiple measured on your chart timeframe. Intraday often prefers one point two five to one point five ATR. Swing often prefers one point five to two ATR. Adjust to symbol behavior and personal risk tolerance.
Exits . The script already prints a Close when Fusion cools inside the exit envelope. If you prefer targets you can mirror the entry envelope distance and convert that to points or percent in your own plan.
Position size . Fixed fractional or fixed risk per trade remains a sound baseline. One percent or less per trade is a common starting point for testing.
Sessions and news . Even with self scaling, some traders prefer to skip the first minutes after an open or scheduled news. Gate with your own session logic if needed.
Limitations and honest notes
No look ahead . The script is causal. The adaptive learner uses a shifted correlation, crosses are evaluated without peeking into the future, and no lookahead security calls are used. If you enable intrabar calculations a letter may appear then disappear before the close if the condition fails. This is normal for any cross based logic in real time.
No performance promises . Markets change. This is a decision aid, not a prediction machine. It will not win every sequence and it cannot guarantee statistical outcomes.
No dependence on other indicators . The chart should remain clean. You can add personal tools in private use but publications should keep the example chart readable.
Standard candles only for public signals . Non standard chart types can change event timing and produce unrealistic sequences. Use regular candles for demonstrations and publications.
Internal logic walkthrough
LEGEND feature block
Flow . Current return normalized by ATR then smoothed by a short EMA. This gives directional intent scaled to recent volatility.
Tail pressure with volume mix . The relative sizes of upper and lower wicks inside the high to low range produce a tail asymmetry. A volume based mix can emphasize wick information when volume is meaningful.
Path curvature . Second difference of close normalized by ATR and smoothed. This captures changes in impulse shape that can precede pushes or fades.
Streak persistence . Up and down close streaks are counted and netted. The result is normalized for the window length to keep behavior stable across symbols.
Entropy order . Shannon entropy of the probability of an up close. Lower entropy means more order. The value is oriented by Flow to preserve sign.
Causal weights . Each feature becomes a z score. A shifted correlation against future returns over the horizon produces a positive weight per feature. Weights are normalized so they sum to one for clarity. The result is angle mapped into a compact unit.
IsoPulse block
Effort split . The script estimates up effort and down effort per bar using both body location and wick geometry. Effort is integrated through time into two reservoirs using a forgetting factor.
Skew . The reservoir difference over the sum yields a stable skew in a known range. A short EMA smooths it.
Efficiency . Move size divided by average volume produces travel per unit volume. Normalization and centering around zero produce a symmetric measure.
Bursts and recency . Percent rank of volume highlights bursts. An exponential function of bars since last burst adds the notion of cluster memory.
IsoPulse unit . Skew multiplied by centered efficiency then scaled by the burst factor produces the raw IsoPulse that is angle mapped into the unit range.
Fusion and events
Regime factor . Entropy order and streak persistence form a mixer. Low structure favors IsoPulse. Higher structure favors LEGEND. The blend is convex so it remains interpretable.
Blended guides . Entry and exit guides are blended in the same way as the line so they stay consistent when regimes change. The envelope does not jump unexpectedly.
Virtual position . The script maintains state. Buy and Sell require a cross while flat and gates open. Close requires an exit or force condition while holding. Letters print once at the state change.
Disclosures
This script and description are educational. They do not constitute investment advice. Markets involve risk. You are responsible for your own decisions and for compliance with local rules. The logic is causal and does not look ahead. Signals on non standard chart types can be misleading and are not recommended for publication. When you test a strategy wrapper, use realistic commission and slippage, moderate risk per trade, and enough trades to form a meaningful sample, then document those assumptions if you share results.
Closing thoughts
Clarity builds confidence. The Fusion line gives a single view of intent. The letters communicate action without clutter. The HUD confirms context at a glance. The gates protect you from weak tape and poor liquidity. Tune it to your instrument, observe it across regimes, and use it as a consistent lens rather than a prediction oracle. The goal is not to trade every wiggle. The goal is to pick your spots with a calm process and to stand aside when the tape is not inviting.
Market sessions and Volume Delta profile - By Leviathanvisual/cosmetic edit by Deepseek, example the session box has extensive options to fit into any template harmonically
Breakdown or Buyable Dip? Pullback Depth Can HelpAs a common adage says, “the market doesn’t move in a straight line.” But when prices have fallen, it’s not always clear whether buying makes sense. That’s where today’s script may help.
Most traditional indicators judge movement based on price. That’s obviously important, but time can also be helpful. After all, there’s a big difference between probing a low from 2-3 weeks ago versus a low from months or even years in the past.
Pullback Depth clearly illustrates this by answering the question: “Today’s low is the lowest in how many bars?”
The resulting integer is plotted in a simple histogram. Values are always negative because bars with higher absolute values (meaning more negative, or further below zero) are potentially more bearish.
The study also has a maximum lookback period to avoid overwhelming the study with too many bars. Its default setting of 125 bars includes enough history to illustrate the trend.
The stock market’s recent run has seen only shallow pullbacks. Most dips have probed 1-2 weeks in the past, while Friday’s selloff only turned back the clock a month.
Consider two other previous moments.
First, the great bull run of 1995 saw only shallow pullbacks. (None exceeded 50 days.):
In contrast, early 2022 saw the S&P 500 test levels more than 100 candles into the past. It soon fell into an official “bear market:”
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Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options or futures); therefore, you should not invest or risk money that you cannot afford to lose. Online trading is not suitable for all investors. View the document titled Characteristics and Risks of Standardized Options at www.TradeStation.com . Before trading any asset class, customers must read the relevant risk disclosure statements on www.TradeStation.com . System access and trade placement and execution may be delayed or fail due to market volatility and volume, quote delays, system and software errors, Internet traffic, outages and other factors.
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TradeStation Securities, Inc. and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., both operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Visit www.TradeStation.com for further important information explaining what this means.
ORB Multi-Range (5,10,15 min plain)Simple, accurate ORB lines for 5, 10, and 15-minute opening ranges — no clutter, just clean breakout levels.
Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO)
The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output.
The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework.
How It Works
Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters.
Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions.
The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA).
The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation.
A compact on-chart table displays the current K and D readings for quick reference.
Comparison with normal Stochastic
Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too.
How To Use It
Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences.
In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets.
When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings.
Customization Options
Choice of smoothing method (SMA, EMA, WMA, RMA).
Full control over each stochastic component’s parameters and weights.
Adjustable overbought/oversold levels and display preferences.
Option to enable or disable the on-chart table and zone fills.
Note
This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system.
I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
SGM Gold Day Trading EMAsWhat it does
This tool plots four Exponential Moving Averages (EMAs) with practical default periods for gold intraday analysis: 9 (Momentum), 21 (Pullback), 50 (Trend Filter), and 200 (Macro). The goal is to provide a clear, multi-horizon structure so traders can quickly assess momentum, pullbacks, intermediate trend, and long-term bias on the same chart.
How it works (method)
Each line is a standard EMA computed on the close price.
The defaults map to common roles:
EMA 9 – Momentum: immediate changes in short-term flow.
EMA 21 – Pullback: typical retracement area within ongoing trends.
EMA 50 – Trend Filter: medium-term confirmation of direction.
EMA 200 – Macro: long-term bias and market context.
Optional dynamic color for EMA9/EMA21 highlights whether EMA9 ≥ EMA21 (green) or not (red). This is a visual aid only; it does not generate signals.
Originality & usefulness
The script focuses on clarity and control rather than automation. It combines a neutral, high-contrast palette with independent line thickness per EMA and an optional visual crossover mode. The configuration encourages disciplined analysis across time horizons without embedding opaque entry/exit logic.
Inputs & customization:
Periods: 9, 21, 50, 200 (all adjustable).
Colors: fully customizable for each EMA; optional crossover color mode for 9/21.
Line thickness: set individually per EMA to emphasize your primary reference.
How to use:
Add the script on any timeframe/asset (gold defaults are provided but not required).
Use EMA 200 for long-term bias; trade with caution against it.
Use EMA 50 to filter intermediate trend; prefer setups aligned with it.
Watch EMA 21 as a pullback reference within trends.
Use EMA 9 to gauge momentum around pullbacks/breakouts.
(Optional) Enable the crossover color to quickly see when momentum (9) is above/below pullback (21).
Notes & limitations:
This script does not produce buy/sell signals or alerts.
It is intended as a visual framework to support analysis and risk management.
Always validate with your own rules, risk controls, and market conditions.
Billionaire Gold ClubBillionaire Gold Club — Long-Term Gold Trend Follower
Overview
The Billionaire Gold Club indicator is designed for traders who follow the long-term bullish bias of Gold (XAU/USD).
It focuses only on BUY opportunities and encourages patience during market pullbacks.
The goal is to trade with the main trend, not against it.
Instructions
1. The script automatically plots 7MA (fast) and 200MA (slow).
2. When 7MA crosses above 200MA, a BUY signal appears.
3. When 7MA crosses below 200MA, a Standby signal appears — do not sell, just wait for the next BUY.
Usage Rules
• Recommended timeframe: 15-minute or higher.
• If used below 15 minutes, treat it as day trading — close trades within the same day.
• Focus on long-term holding and small lot sizes to protect your capital.
Signal Guide
🟢 BUY → Enter the trend direction.
🟠 Standby → Pause new entries and wait patiently.
Alerts
Set alerts to "Once per bar close":
• BUY Signal → Golden Cross confirmed.
• Standby Signal → Death Cross confirmed.
Philosophy
"Obey the rules, and your probability of success increases."
This system rewards patience, discipline, and long-term trend following.
Follow me for more TradingView scripts and updates.
Billionaire Gold Clubは、ゴールド（XAU/USD）の長期上昇トレンドに沿って取引するためのインジケーターです。
基本的にBUYのみを狙い、デッドクロス時はStandby（待機）状態として次のBUYを待ちます。
推奨時間軸：15分足以上。
15分未満で使用する場合はデイトレードとして同日中にクローズすることを推奨します。
ロットを小さく保ち、長期保有で安定した運用を目指してください。
SMA 20/50/200 Strategy with TP/SLHere is a TradingView Pine Script indicator for the 20/50/200 SMA strategy. It generates Buy/Sell Signals and calculates Take Profit and Stop Loss prices for each signal.
Features:
Triggers only on the cross over/cross under bar (not continuous).
Buy: 20 SMA crosses above 50 SMA and is above 200 SMA.
Sell: 20 SMA crosses below 50 SMA and is below 200 SMA.
Plots take profit and stop loss.
Alerts repeat every cross over/cross under occurrence.
Tweezer & Kangaroo Zones [WavesUnchained]Tweezer & Kangaroo Zones
Pattern Recognition with Supply/Demand Zones
Indicator that detects tweezer and kangaroo tail (pin bar) reversal patterns and creates supply and demand zones. Includes volume validation, trend context, and confluence scoring.
What You See on Your Chart
Pattern Labels:
"T" (Red) - Tweezer Top detected above price → Bearish reversal signal
"T" (Green) - Tweezer Bottom detected below price → Bullish reversal signal
"K" (Red) - Kangaroo Bear (Pin Bar rejection from top) → Bearish signal
"K" (Green) - Kangaroo Bull (Pin Bar rejection from bottom) → Bullish signal
Label Colors Indicate Pattern Strength:
Dark Green/Red - Strong pattern (score ≥8.0)
Medium Green/Red - Good pattern (score ≥6.0)
Light Green/Red - Valid pattern (score <6.0)
Zone Boxes:
Red Boxes - Supply Zones (resistance, potential short areas)
Green Boxes - Demand Zones (support, potential long areas)
White Border - Active zone (fresh, not tested yet)
Gray Border - Inactive zone (expired or invalidated)
Pattern Detection
Tweezer Patterns (Classic Double-Top/Bottom):
Flexible Lookback - Detects patterns up to 3 bars apart (not just consecutive)
Precision Matching - 0.2% level tolerance for high-quality signals
Wick Similarity Check - Both candles must show similar rejection wicks
Volume Validation - Second candle requires elevated volume (0.8x average)
Pattern Strength Score - 0-1 quality rating based on level match + wick similarity
Optional Trend Context - Can require trend alignment (default: OFF for more signals)
Kangaroo Tail / Pin Bar Patterns:
No Pivot Delay - Instant detection without waiting for pivot confirmation
Body Position Check - Body must be at candle extremes (30% tolerance)
Volume Spike - Rejection must occur with volume (0.9x average)
Rejection Strength - Scores based on wick length (0.5-0.9 of range)
Optional Trend Context - Bearish in uptrends, Bullish in downtrends (default: OFF)
Zone Management
Auto-Created Zones - Every valid pattern creates a supply/demand zone
Overlap Prevention - Zones too close together (50% overlap) are not duplicated
Lifetime Control - Zones expire after 400 bars (configurable)
Smart Invalidation - Zones invalidate when price closes through them
Styling Options - Choose between Solid, Dashed, or Dotted borders
Border Width - 2px width for better visibility
Confluence Scoring System
Multi-factor confluence scoring (0-10 scale) with configurable weights:
Regime (EMA+HTF) - Trend alignment across timeframes (Weight: 2.0)
HTF Stack - Multi-timeframe trend confluence (Weight: 3.0)
Structure - Higher lows / Lower highs confirmation (Weight: 1.0)
Relative Volume - Volume surge validation (Weight: 1.0)
Chop Advantage - Favorable market conditions (Weight: 1.0)
Zone Thinness - Tight zones = better R/R (Weight: 1.0)
Supertrend - Trend indicator alignment (Weight: 1.0)
MOST - Moving Stop alignment (Weight: 1.0)
Pattern Strength - Quality of detected pattern (Weight: 1.5)
Zone Retest Signals
Signals generated when zones are retested:
BUY Signal - Price retests demand zone from above (score ≥4.5)
SELL Signal - Price retests supply zone from below (score ≥5.5)
Normalized Score - Displayed as 0-10 for easy interpretation
Optional Trend Gate - Require trend alignment for signals (default: OFF)
Alert Ready - Built-in alertconditions for automation
Additional Features
Auto-Threshold Tuning - Adapts to ATR and Choppiness automatically
Session Profiles - Different settings for RTH vs ETH sessions
Organized Settings - 15+ input groups for easy configuration
Optional Panels - HTF Stack overview and performance metrics (default: OFF)
Data Exports - Hidden plots for strategy/library integration
RTA Health Monitoring - Built-in performance tracking
Setup & Configuration
Quick Start:
1. Apply indicator to any timeframe
2. Patterns and zones appear automatically
3. Adjust pattern detection sensitivity if needed
4. Configure zone styling (Solid/Dashed/Dotted)
5. Set up alerts for zone retests
Key Settings to Adjust:
Pattern Detection:
• Min RelVolume: Lower = more signals (0.8 Tweezer, 0.9 Kangaroo)
• Require trend context: Enable for stricter, higher-quality patterns
• Check wick similarity: Ensures proper rejection structure
Zone Management:
• Zone lifetime: How long zones remain active (default: 400 bars)
• Invalidate on close-through: Remove zones when price breaks through
• Max overlap: Prevent duplicate zones (default: 50%)
Scoring:
• Min Score BUY/SELL: Higher = fewer but better signals (default: 4.5/5.5)
• Component weights: Customize what factors matter most
• Signals require trend gate: OFF = more signals, ON = higher quality
Visual Customization
Zone Colors - Light red/green with 85% transparency (non-intrusive)
Border Styles - Solid, Dashed, or Dotted
Label Intensity - Darker greens for better readability
Clean Charts - All panels OFF by default
Understanding the Zones
Supply Zones (Red):
Created from bearish patterns (Tweezer Tops, Kangaroo Bears). Price made a high attempt to push higher, but was rejected. These become resistance areas where sellers may step in again.
Demand Zones (Green):
Created from bullish patterns (Tweezer Bottoms, Kangaroo Bulls). Price made a low with strong rejection. These become support areas where buyers may step in again.
Zone Quality Indicators:
• White border = Fresh zone, not tested yet
• Gray border = Zone expired or invalidated
• Thin zones (tight range) = Better risk/reward ratio
• Thick zones = Less precise, wider stop required
Trading Applications
Reversal Trading - Enter at pattern detection with tight stops
Zone Retest Trading - Wait for retests of established zones
Trend Confluence - Trade only when patterns align with trend
Risk Management - Use zone boundaries for stop placement
Target Setting - Opposite zones become profit targets
Pro Tips
Best signals occur when pattern + zone retest + trend all align
Lower timeframes = more signals but more noise
Higher timeframes = fewer but more reliable signals
Start with default settings, adjust based on your market
Combine with other analysis (structure, key levels, etc.)
Use alerts to avoid staring at charts all day
Important Notes
Not all patterns will lead to successful trades
Use proper risk management and position sizing
Patterns work best in trending or range-bound markets
Very choppy conditions may produce lower-quality signals
Always confirm with your own analysis before trading
Technical Specifications
• Pine Script v6
• RTA-Core integration
• RTA Core Library integration
• Maximum 200 boxes, 500 labels
• Auto-tuning based on ATR and Choppiness
• Session-aware threshold adjustments
• Memory-optimized zone management
What's Included
Tweezer Top/Bottom detection
Kangaroo Tail / Pin Bar detection
Automatic supply/demand zone creation
Volume validation system
Pattern strength scoring
Zone retest signals
Multi-factor confluence scoring
Optional HTF Stack panel
Optional performance metrics
Session profile support
Auto-threshold tuning
Alert conditions
Data exports for strategies
Author Waves Unchained
Version 1.0
Status Public Indicator
Summary
Reversal pattern detection with zone management, volume validation, and confluence scoring for tweezer and kangaroo tail patterns.
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Disclaimer: This indicator is for educational and informational purposes only. Trading involves risk. Past performance does not guarantee future results. Always practice proper risk management.
CB Charts - GEX NQ/MNQ
Last Updated: 2025-10-14 12:59:34 PST
*DISCLAIMER: Only intended for NQZ2025/MNQZ2025 charts.
This indicator plots horizontal levels based on batched GEX levels for NQZ2025/MNQZ2025. The batched data is derived from contracts expiring: 0DTE, 1DTE, EoW, EoM, Next Week, Next Month and 3-months out. Labels are available for a high-level view of which levels are which. Hovering (or long-pressing on mobile TV) over the labels will display the nominal values and Rank. This script is manually updated and may not be always updated.
When and what to use:
- Most respected levels come from 1DTE, EoW and EoM.
- 0DTE is included for when this script becomes intraday updated. (CURRENTLY NOT UPDATED INTRADAY)
- Next Week setting is best used only for Friday and Sunday trading
- Next Month setting is best for weeks close to the end of the current month
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