DNSE VN301!, BB-SMA Trend Following "Bollinger Bands Breakout with SMA Trend Filter" is a volatility-based trend-following strategy designed to capture strong directional price movements when price breaks beyond its recent volatility range. The strategy uses Bollinger Bands with a default SMA(20) basis and 2.0 standard deviations to identify bullish breakouts above the upper band and bearish breakouts below the lower band.
To improve signal quality, the strategy combines Bollinger Band breakouts with a mandatory SMA(200) trend filter, allowing Long trades only when the SMA is rising and Short trades only when it is falling. By combining volatility expansion with broader trend confirmation, the strategy seeks to reduce counter-trend and false breakout signals while participating in stronger intraday movements. It also includes configurable stop loss, take profit, trading session, trade direction, and automatic end-of-session position closure for disciplined risk management.
Strategy settings and configuration:
Chart timeframe: recommended 5-minute chart
Position size: 3 contracts
Bollinger Bands length: 20
Bollinger Bands multiplier: 2.0
SMA length: 200
Stop loss: 10 points
Take profit: 20 points
SMA trend filter: always enabled
Take profit: On / Off
Time filter: On / Off
Trading session: 09:00 – 14:30
Trade direction: Long / Short / Both
Default script settings:
The strategy calculates Bollinger Bands using the SMA(20) of the closing price. The upper and lower bands are created by adding or subtracting two standard deviations around the middle line.
When the closing price breaks above the upper Bollinger Band, buying pressure may be taking control. When the closing price breaks below the lower Bollinger Band, selling pressure may be taking control.
SMA(200) is used as the main trend filter. When SMA(200) is rising, the script only allows Long trades. When SMA(200) is falling, the script only allows Short trades.
In CNPS 04, the SMA(200) filter is always enabled. This helps the bot filter out breakout signals that go against the longer-term trend.
Users can add the built-in Bollinger Bands indicator on TradingView with Length 20 and Multiplier 2.0 to visually monitor the signal on the price chart.
Entry and exit rules:
Long entry:
Closing price > upper Bollinger Band
AND SMA(200) is rising
AND the signal appears during the trading session
AND trade direction allows Long entries
Long exit:
Stop loss: 10 points from entry price
Take profit: 20 points from entry price, if enabled
Opposite breakout signal appears
Reversal when a valid Short signal appears
Automatic position close at the end of the trading session
Short entry:
Closing price < lower Bollinger Band
AND SMA(200) is falling
AND the signal appears during the trading session
AND trade direction allows Short entries
Short exit:
Stop loss: 10 points from entry price
Take profit: 20 points from entry price, if enabled
Opposite breakout signal appears
Reversal when a valid Long signal appears
Automatic position close at the end of the trading session
Risk disclaimer:
Futures trading involves a high level of risk and prices can move sharply. This script is provided for reference, research, and backtesting purposes only. Users should fully understand derivatives trading, their own risk tolerance, and the strategy logic before applying it to live trading.
All investment decisions are the responsibility of the user. phaisinh.online is not responsible for any losses arising from the use of this strategy in real trading. Past performance does not guarantee future results.
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"Bollinger Bands Breakout với Bộ lọc Xu hướng SMA" là một chiến lược giao dịch theo xu hướng dựa trên biến động, được thiết kế nhằm nắm bắt các chuyển động giá mạnh theo một hướng khi giá phá vỡ khỏi vùng biến động gần nhất. Chiến lược sử dụng Bollinger Bands với đường cơ sở mặc định là SMA(20) và 2,0 độ lệch chuẩn để xác định tín hiệu bứt phá tăng khi giá vượt lên trên dải trên và tín hiệu bứt phá giảm khi giá xuống dưới dải dưới.
Để nâng cao chất lượng tín hiệu, chiến lược kết hợp tín hiệu bứt phá Bollinger Bands với bộ lọc xu hướng SMA(200) bắt buộc, chỉ cho phép giao dịch Long khi SMA đang dốc lên và giao dịch Short khi SMA đang dốc xuống. Bằng cách kết hợp sự mở rộng của biến động với xác nhận xu hướng tổng thể, chiến lược hướng tới việc giảm thiểu các tín hiệu giao dịch ngược xu hướng và các tín hiệu phá vỡ giả, đồng thời tận dụng các chuyển động intraday mạnh hơn. Chiến lược cũng bao gồm các tùy chọn Stop Loss, Take Profit, khung thời gian giao dịch, hướng giao dịch và cơ chế tự động đóng vị thế khi kết thúc phiên, nhằm đảm bảo quản trị rủi ro một cách chặt chẽ và có kỷ luật.
Cài đặt & cấu hình chiến lược:
Biểu đồ: khuyến nghị khung 5 phút
Khối lượng giao dịch: 3 hợp đồng
Chu kỳ Bollinger Bands: 20
Hệ số nhân Bollinger Bands: 2.0
Chu kỳ SMA: 200
Cắt lỗ: 10 điểm
Chốt lời: 20 điểm
Bộ lọc xu hướng SMA: luôn bật
Dùng chốt lời: Bật / Tắt
Bộ lọc giờ: Bật / Tắt
Khung giờ giao dịch: 09:00 – 14:30
Chiều giao dịch: Mua / Bán / Cả hai
Cài đặt mặc định của script:
Chiến lược tính toán Bollinger Bands dựa trên đường SMA(20) của giá đóng cửa. Dải trên và dải dưới được tạo bằng cách cộng hoặc trừ hai độ lệch chuẩn quanh đường giữa.
Khi giá đóng cửa vượt lên trên dải trên Bollinger Bands, lực mua có thể đang chiếm ưu thế. Khi giá đóng cửa phá xuống dưới dải dưới Bollinger Bands, lực bán có thể đang chiếm ưu thế.
SMA(200) được dùng làm bộ lọc xu hướng chính. Khi SMA(200) dốc lên, script chỉ cho phép lệnh Mua. Khi SMA(200) dốc xuống, script chỉ cho phép lệnh Bán.
Trong CNPS 04, bộ lọc SMA(200) luôn bật. Điều này giúp bot loại bỏ bớt các tín hiệu breakout đi ngược xu hướng dài hạn.
Người dùng có thể thêm chỉ báo Bollinger Bands có sẵn trên TradingView với tham số Length 20 và Multiplier 2.0 để quan sát tín hiệu trực quan trên biểu đồ giá.
Điều kiện vào và thoát lệnh:
Vào lệnh Mua:
Giá đóng cửa > dải trên Bollinger Bands
VÀ SMA(200) dốc lên
VÀ tín hiệu xuất hiện trong khung giờ giao dịch
VÀ chiều giao dịch cho phép lệnh Mua
Thoát lệnh Mua:
Cắt lỗ: 10 điểm từ giá vào lệnh
Chốt lời: 20 điểm từ giá vào lệnh, nếu bật
Có tín hiệu breakout ngược chiều
Đảo chiều khi xuất hiện tín hiệu Bán hợp lệ
Tự động đóng lệnh khi hết khung giờ giao dịch
Vào lệnh Bán:
Giá đóng cửa < dải dưới Bollinger Bands
VÀ SMA(200) dốc xuống
VÀ tín hiệu xuất hiện trong khung giờ giao dịch
VÀ chiều giao dịch cho phép lệnh Bán
Thoát lệnh Bán:
Cắt lỗ: 10 điểm từ giá vào lệnh
Chốt lời: 20 điểm từ giá vào lệnh, nếu bật
Có tín hiệu breakout ngược chiều
Đảo chiều khi xuất hiện tín hiệu Mua hợp lệ
Tự động đóng lệnh khi hết khung giờ giao dịch
Tuyên bố rủi ro:
Giao dịch hợp đồng tương lai có mức độ rủi ro cao và giá có thể biến động mạnh. Script này chỉ phục vụ mục đích tham khảo, nghiên cứu và kiểm thử. Người dùng cần hiểu rõ giao dịch phái sinh, khẩu vị rủi ro cá nhân và logic của chiến lược trước khi áp dụng vào giao dịch thực tế.
Mọi quyết định đầu tư thuộc trách nhiệm của người dùng. phaisinh.online không chịu trách nhiệm cho bất kỳ khoản lỗ nào phát sinh từ việc sử dụng chiến lược này trong giao dịch thực tế. Hiệu quả trong quá khứ không đảm bảo kết quả trong tương lai.
전략
CTZ Bitcoin Cycle Master
**CTZ Cycle Trader + Confluence**
Three independent forecasting methods on one chart, gated so a signal only counts when they agree. Cyclical timing, statistical swing projection, and momentum triggering work together to show where price is likely to turn, when, and whether to act.
**① The Cycle Framework**
A four-tier cycle model — Daily (DCL), Weekly (WCL), Yearly (YCL) and 4-Year (4YCL) cycle lows — each with confirmation logic, running counts, and forward-projected timing windows. Asset presets auto-tune the cycle lengths to the instrument you load (Bitcoin, metals, indices, forex, energy). A live dashboard tracks days since each low, which windows are open, and the projected dates for the next turns.
**② Dual Swing Prediction Zones**
Drawing on the full history of the instrument's price swings, the tool projects **two forward target zones at once** — a green LOW-target box below price and a red HIGH-target box above it. Each is built from the statistical spread of past swings in that direction: how far they typically ran, and how long they lasted. Rather than guessing a single direction, it brackets the expected reversal range on both sides, so you can see where the next swing low and swing high are statistically due before price arrives. Green and red shading also colours every completed swing across history, making the market's rhythm visible at a glance.
**③ The Tidewave Trigger**
A WaveTrend + RSI momentum engine fires bull and bear reversal arrows, auto-adjusting from scalping frames to the macro. These are the entries — the moment the turn actually begins.
**The confluence**
The layers gate each other. A bull arrow carries full weight only inside the green low zone and near a projected cycle low; a bear arrow only in the red high zone near a cycle high. The cycle says a turn is *due*, the zone says *where and by how much*, momentum says *it's happening now*. A dedicated confluence alert fires only when all three agree.
**⚓ The 4-Year Anchor — and keeping it current**
Bitcoin's cycles nest inside the 4-year rhythm — every daily, weekly, and yearly low sits within the larger cycle that begins at each bear-market bottom. This tool lets you anchor the entire cycle clock to that bottom with a single date.
By default the anchor is set to **21 Nov 2022**, Bitcoin's last bear-market low. Every cycle phase and projection counts forward from there, so the timing is measured from a structurally meaningful origin rather than a mid-cycle pivot.
**Updating it:** each cycle bottom is a moving reference. When the next 4-year low forms and confirms, open the indicator settings, find the **4YCL Master Anchor** group, and change the **4YCL Anchor Date** to the new bottom (for the current cycle, that will be the 2026 low once it's in). The whole cycle clock re-bases from the new date instantly — no code editing required. Set it to the exact bottom candle, since the anchor is load-bearing: a few days off shifts every downstream projection by those days. Because you update it only after the low has confirmed, you'll always know the precise date. You can also toggle the anchor off to fall back to auto-detected pivots.
**Built to be read at a glance**
The dashboard consolidates cycle counts, open windows, due-dates, prediction-zone status, and anchor position into one panel. State labels, arcs, and extras stay off by default for a clean chart, and every layer has its own toggle — run pure cycles, pure signals, or the full confluence view.
*The cycle tells you when. The zones tell you where. Momentum tells you it's happening. Together they tell you whether to act.*
*For educational purposes. Not financial advice — always confirm with your own analysis and test on your own instruments and timeframes before trading live.*
지표
EMA 50x200 Cross Trend Barometer The 50/200 moving-average cross is one of the most-watched signals in markets:
the "golden cross" and the "death cross." Trend Barometer turns that classic into
a clean, at-a-glance read on the prevailing regime, the way a barometer reads the
pressure before the storm.
When the fast average (50) sits above the slow one (200), the market is in a
risk-on regime and the chart glows fair-weather green (☀). When it slips below,
conditions turn risk-off and the chart shifts to storm red (⛈). One look tells you
which side of the trend you're standing on.
WHAT IT SHOWS
• Regime-coloured EMA 50 and EMA 200, with a shaded gap between them
• A soft background tint for the current regime (risk-on / risk-off)
• Golden-cross ▲ and death-cross ▼ markers on the exact flip bar
• A compact weather panel: current regime, bars held in it, and the last cross
• Alerts on every regime flip
MAKE IT YOURS
Switch between EMA and SMA, set your own fast/slow lengths (50/200 by default),
and recolour everything to match your chart.
HONEST BY DESIGN
This is a regime lens, not a buy/sell system. A barometer reports the conditions;
it doesn't place your trades. The 50/200 cross is trend-following context: great for
reading the prevailing regime and filtering out noise, but it lags turns and is not
an entry trigger on its own. Use it to frame your bias and manage risk alongside
your own analysis.
NO REPAINTING
Some indicators quietly rewrite their own past: you look back and see a signal at a
perfect spot that simply wasn't there when the bar formed. That flatters them in
hindsight. This one can't do that. It only ever reads the current and earlier bars,
never the future (no request.security, no forward references), so a cross printed
two years ago sits exactly where it printed at the time.
One caveat, true of every indicator: the newest bar is still forming, so the colour
can flicker while it's live. A cross is only final once that bar closes. 지표
TP/SL Signals💀 TP/SL Signals & Strategy: Automated Risk Management Tool
⚠️ IMPORTANT: Don't forget to BOOST 🚀 (Like) and FOLLOW for more institutional-grade, open-source Pine Script scripts! Your support keeps this project active and updated!
📌 Overview
💀 TP/SL Signals is a powerful multi-timeframe trading system built to resolve the biggest trader challenge: Discipline and Risk Management.
By filtering price noise with Hull Moving Averages (HMA) across multiple timeframes, this tool identifies key trend pivots and automatically projects your entry, stop-loss, and multi-tier take-profit targets directly onto your chart.
✨ Key Features
🎯 Dynamic Entry Signals: Built on real-time cross-over logic using fast and slow HTF Hull Moving Averages.
🛡️ Automated Risk/Reward Levels: Visualizes exact SL, TP1, and TP2 target lines as soon as a trade opens.
⚖️ Trailing Breakeven: Automatically moves your Stop Loss to the entry price once TP1 is reached to secure a risk-free trade.
📊 Fully Customizable Risk Controls: Adjust percentages for SL, TP1, and TP2 dynamically in settings.
🔔 Instant Alerts: Built-in webhooks & alert conditions for instant Long/Short entry push notifications.
⚙️ How It Works
Trend Identification: The script fetches high-timeframe trend momentum using calibrated 5-minute and 15-minute HMA lines.
Execution Signals:
LONG 🟢: Triggered when 5m HMA crosses above the 15m HMA.
SHORT 🔴: Triggered when 5m HMA crosses below the 15m HMA.
Automated Exit Logic:
Reaching TP1 locks in partial profits and adjusts the stop loss to Breakeven.
Final exit triggers when TP2 is reached or trailing SL is hit.
🛠️ Recommended Setup
Timeframe: 1m, 5m, or 15m charts.
Assets: Crypto (BTC, ETH), Forex Majors, Stocks, or Indices.
Risk Management: Default is set to 1.0% SL, 1.0% TP1, 2.0% TP2. Tune these in the settings menu based on market volatility.
💡 Backtesting & Open Source
This indicator is 100% open-source and completely free to use. Test different parameter setups on historical data to fine-tune win rates for your favorite pairs.
🤝 Join the Community!
If this indicator helps you manage risk better or boosts your win rate:
Hit the Rocket Button 🚀 to boost this post!
Click Follow to never miss future indicator upgrades, strategy updates, and trading scripts.
Drop a comment below with your favorite assets to trade using this system!
Disclaimer: Past performance is not indicative of future results. Always practice proper risk management. 지표
Cipher B Adaptive v6Cipher B — Adaptive v6
Cipher B — Adaptive is a WaveTrend-style momentum oscillator that re-tunes itself to the coin it is applied to. The same script gives usable overbought/oversold levels and cross signals on BTC daily, a mid-cap alt on 4H or a meme coin on 5 minutes, without changing the settings.
WHY THIS EXISTS
Classic Cipher B oscillators use fixed levels (±53 / ±60) and fixed smoothing (10 / 21). Those numbers were tuned for BTC-like behaviour. On a meme coin the wave regularly runs to ±90, so "overbought" fires far too early and a cross at -55 is not really a dip. On BTC on higher timeframes the wave rarely reaches ±60, so the extreme zones are almost never touched. This script solves that with two independent adaptive layers.
HOW IT WORKS
1. Asset profile (volatility tier)
The script measures annualised realised volatility: the standard deviation of log returns over the lookback, scaled by the number of bars per year for the chart timeframe. Because it is annualised, a 5-minute chart and a daily chart are compared on the same scale. The result is mapped to a 0…1 factor between two thresholds:
• below 75% = Large Cap (BTC / ETH behaviour)
• 75% to 150% = Alt
• above 150% = Meme
The factor stretches the Channel and Average lengths by up to 30% on the noisiest coins, which suppresses whipsaw crosses without adding lag on calm charts. If you disagree with the detection, the Profile input overrides it.
2. Adaptive levels
In Adaptive mode the outer OB/OS levels are the 95th and 5th percentile of WT1 over the last 300 bars, clamped between 40 and 95. The inner levels are the outer level × 0.88, which preserves the original 53/60 geometry. Levels are asymmetric by default: in an uptrend the oversold line sits shallower, so dip signals fire where dips actually end, and the overbought line sits deeper. Turn on Symmetric levels if you prefer mirrored lines. Fixed mode keeps your manual levels and widens them by the profile, up to 35% on meme-tier coins.
3. Waves and money flow
WT1 (blue) and WT2 (dark blue) are the standard WaveTrend pair. The cloud between them is green while momentum is bullish and red while it is bearish; the histogram shows the same distance. The green/red money-flow wave is the Cipher B style RSI-MFI hybrid: sustained green means buying pressure behind the move.
4. Divergence
Pivots are found on the oscillator, not on price. Price is read in the window around each pivot, and a divergence is confirmed once, when the second pivot is confirmed. Markers are drawn on the actual pivot bar and the two pivots are connected with a line. Optional filters: at least one pivot must be inside the OB/OS zone, and the pivots must be within a set number of bars of each other. Hidden (trend-continuation) divergences can be switched on separately.
HOW TO READ THE SIGNALS
• Dim dot: WT1 crosses WT2 in the mid-range. Informational only.
• Solid green / red dot: a cross inside the oversold / overbought zone. This is the classic Cipher B buy / sell dot.
• Gold / orange diamond (STRONG): a zone cross that is either beyond the extreme level or follows a divergence within the last 20 bars.
• Triangle marked DIV: regular divergence. Small triangle marked H: hidden divergence.
• Shaded background: WT1 is beyond the extreme levels.
INFO TABLE
The table shows the detected profile (auto or manual), annualised volatility, the lengths and levels currently in use, WT1 / WT2, zone, momentum and money-flow direction. If a signal looks off on a particular coin, this is where you check what the script decided.
SETTINGS WORTH KNOWING
• Profile: Auto / Large Cap / Alt / Meme.
• Large-cap vol ceiling and Meme vol floor: the tier thresholds. Raise them on very low timeframes if BTC keeps being classed as Alt.
• Max length stretch: set to 0 to disable smoothing adaptation.
• Level mode, Adaptive lookback, Extreme percentile: how the levels are derived. A lower percentile (for example 90) gives more signals.
• Divergence memory: how long a divergence keeps upgrading zone crosses to STRONG.
ALERTS
Ten alert conditions: any cross, zone cross, STRONG signal, regular divergence and hidden divergence, each for both directions.
NOTES
• The first 300 bars of a chart use the fixed levels until enough history exists for the percentile.
• The volatility thresholds and the 365-day annualisation are tuned for crypto. On stocks or forex the profile reads differently; use the Profile override there.
• Cross signals confirm on bar close. Divergence signals confirm a few bars after the pivot (Pivot length), as with any pivot-based method. Nothing is recalculated on past bars after that.
CREDITS
Built on the WaveTrend oscillator by LazyBear and the Cipher B concept popularised by Market Cipher and VuManChu's open-source Cipher B. The volatility profile, percentile levels, tiered signals and pivot-aligned divergence logic are original to this script.
This indicator is an analysis tool, not financial advice. Test it on your own markets and timeframes before relying on it. 지표
Adaptive ATR% Extension ScannerIdentifying when a stock is historically overextended and due for a mean-reverting pullback is a critical component of risk management and scaling out of swing trades. The Adaptive ATR% Extension Scanner provides an objective, mathematical way to measure these extensions based entirely on a stock's unique historical volatility profile.
Rather than relying on static guesses for when a stock is "too far" from its moving average, this tool actively reads the chart's history to tell you exactly when current price action has reached an statistical extreme.
Key Features:
Dynamic Percentile Lookback: The indicator automatically scans the last 20 swing highs (pullbacks) for the specific ticker you are viewing. It calculates the exact ATR% multiple at each peak to establish a unique historical baseline for what constitutes an "extended" move.
Dual-Tier Signals: The script calculates the 75th percentile (Warning) and 90th percentile (Extreme) of past pullbacks. It plots highly customizable signals directly on your chart when the current price breaches these historically significant thresholds.
Multi-MA Variance Scanner: Not every stock respects the same baseline. The built-in dashboard tracks the 10 EMA, 20 EMA, 50 SMA, and 200 SMA simultaneously. It calculates the historical variance for each to determine which moving average produces the most tightly clustered, predictable extensions.
Auto-Best Fit: The script can automatically select the moving average with the lowest historical variance to drive your chart visuals and trigger your signals, completely removing the guesswork.
Customizable Price Bands: Toggle upper price bands on or off to project exactly what dollar amount the stock needs to hit to reach an overextended state, allowing you to easily set advance limit orders.
How to Use:
Leave the MA setting on "Auto (Best Fit)" to let the script find the most predictable baseline for the current ticker. Watch for the warning dots (yellow by default) as a signal to scale out partial positions, and extreme dots (red by default) as a signal to tighten trailing stops aggressively. Full customization options allow you to change dot colors, emojis/characters, opacity, and dashboard visuals to fit your exact charting style. 지표
ZigZag Break - Phase 3 Toggle Sync V6 (Display Only)### Overview
"ZigZag Break - Phase 3 Toggle Sync V6" is an analytical tool designed to visualize market structure transitions based on Dow Theory and multi-timeframe Moving Average (MA) dynamics.
It automatically detects key structural swing points (labeled 1 to 6), tracks horizontal breakout levels, and monitors multi-timeframe MA alignments to provide structured, multi-step signal conditions.
### Key Features
1. **Dow Theory & Vertex Tracking (1-2-3 Patterns):**
- Identifies trend reversal origin points (Vertex 1) upon confirmed price breaks.
- Plots sequential market structure vertices (1, 2, 3, 4, 5, 6) based on strict price action criteria.
- Automatically draws persistent horizontal levels for key even/odd structural highs and lows.
2. **Multi-Timeframe MA Alignment & Sorting:**
- Evaluates MA directions across higher timeframes.
- Displays a real-time sorted panel showing the hierarchical order of current price relative to MTF MAs.
3. **Sequential Step-Alert System:**
- Evaluates multi-stage technical events (e.g., Convergence -> Divergence -> Structural Peak/Valley or Dow Break).
- Fires unified alerts when a custom sequence of technical conditions is fully met.
### Technical & Repainting Notice
- **Use of `lookahead_on`:**
This indicator utilizes `lookahead=barmerge.lookahead_on` inside multi-timeframe `request.security` functions. This design explicitly references confirmed historical higher-timeframe bar closes (`close `) to calculate higher-timeframe market structure levels without referencing unconfirmed real-time higher-timeframe data.
- **Historical Consistency:**
Historical line/label positions correspond strictly to completed higher-timeframe bar boundaries. Current real-time bars process ongoing price updates dynamically until bar close.
■ 概要
「ZigZag Break - Phase 3 Toggle Sync V6」は、ダウ理論に基づく波形・構造変化と、マルチタイムフレーム（MTF）における移動平均線（MA）の方向性を可視化・分析するためのテクニカル指標です。
過去の高値・安値に対する終値ブレイクを起点とした構造転換（頂点1〜6）の全自動検出、重要な水平線の自動描画、および複数段階のテクニカル条件を組み合わせたステップアラート機能を搭載しています。
■ 主な機能
1. ダウ理論 & 頂点追跡（1-2-3パターン）:
- 終値での高値/安値ブレイクを検知し、構造の転換点（頂点1）およびその後の波形（1, 2, 3, 4, 5, 6）を自動ナンバリング。
- 直近の偶数頂点（2, 4, 6）や奇数頂点（3, 5）、ブレイク起点となる最重要水平線を追跡・描画。
2. マルチタイムフレーム（MTF）MA方向 & リアルタイムソート:
- 各時間足のMAの傾き・位置関係を判定。
- 現在価格と上位足MAの階層構造をリアルタイムで並び替えて一覧表示するソートテーブル機能。
3. 段階的ステップアラート（Step Alert System）:
- 「MAの収束」→「MAの拡散」→「山谷形成 / ダウブレイク」といった複数のテクニカルイベントの順次達成をトリガーとするアラート機能。
■ テクニカル仕様および「lookahead_on」に関する注記
・`lookahead_on` の使用について:
本インジケーターでは、マルチタイムフレームのデータ取得処理（`request.security`）において `lookahead=barmerge.lookahead_on` を使用しています。これは、未確定の上位足リアルタイムデータによるシグナル変化を避け、確定済みの過去足終値（`close `）に基づいた正確な構造計算・描画を行うための仕様設計です。
・ヒストリカルデータとリアルタイムデータの挙動:
過去チャート上のラインやラベルの表示位置は、確定した上位足のバー境界に基づいて正確に描画されます。進行中のリアルタイム足においては、足確定まで価格変化に応じて動的に計算が更新されます。
지표
Smart Buy Sell Indicator V1This indicator is designed to identify **potential trend reversals and momentum-based trading opportunities** using a combination of **two EMAs and RSI**.
#### 📊 Indicators Used
Fast EMA (Default: 9 EMA): Tracks short-term price movement.
Slow EMA (Default: 21 EMA): Identifies the broader short-term trend.
RSI (Default: 14): Confirms the strength and momentum of the move.
### 🟢 BUY Signal
A BUY signal is generated when:
The 9 EMA crosses above the 21 EMA, indicating a possible upward trend reversal.
RSI is 50 or above, confirming positive momentum.
How to use: Consider the BUY signal as an indication of bullish momentum. It can be used for a fresh entry or to identify a possible continuation of an upward move.
### 🔴 SELL Signal
A SELL signal is generated when:
The 9 EMA crosses below the 21 EMA, indicating a possible downward trend reversal.
RSI is 50 or below, confirming negative momentum.
How to use: Consider the SELL signal as an indication of weakening momentum or a potential bearish trend. It can be used to exit a long position or, depending on your trading strategy, identify a potential short-selling opportunity.
### ⚠️ Important Usage Tips
* Best used on **liquid stocks and indices.
* The indicator works better when the market is trending.
* Avoid relying solely on signals during **sideways or highly volatile markets**, where EMA crossovers may generate false signals.
* Always consider **support/resistance, price action, volume and the overall market trend** before taking a trade.
* Use an appropriate **stop-loss**, preferably based on the recent swing low for BUY trades and recent swing high for SELL trades.
### In Simple Terms
>EMA crossover identifies the change in trend, while RSI confirms whether momentum supports that direction.
This makes the indicator useful for traders looking for simple, rule-based BUY and SELL signals rather than relying on EMA crossovers alone.
지표
Phoenix Ascending 2.6Overview
This is a modernized Pine Script v6 update of the original "Phoenix Ascending 2.201" indicator, originally published by WyckoffMode (with script contributions from LazyBear, xSilas, and Ni6HTH4wK). Since the original script appears to no longer be actively maintained, I have updated the code to the latest Pine Script version to ensure it continues running efficiently, while keeping the original mathematical logic exactly the same.
What is Phoenix Ascending?
Phoenix Ascending is a comprehensive, multi-component momentum and money-flow oscillator. Rather than relying on a single metric, it aggregates several popular momentum indicators to create a smoothed, high-conviction market gauge.
At its core, the script calculates two main averages:
The "Tradition" Index: An average of TCI (Trade Channel Index), Money Flow (MF), and the Relative Strength Index (RSI).
The "Phoenix" Index: An average of TCI, CSI, Money Flow, and a Williams %R derivative (Willy).
By blending these components, the indicator filters out market noise and provides a clearer view of underlying buying and selling pressure.
How to Read the Indicator
The indicator plots several distinct visual elements on the oscillator panel:
Green Line (Tradition): Acts as the primary fast signal line tracking current price momentum.
Red Line (Smoothed RSI): A slower moving average of the Green Line.
LSMA (Least Squares Moving Average): A regression line that helps identify the true underlying trend direction.
Energy (Area/Histogram): A shaded region that visualizes the spread and momentum intensity between the fast and slow signal lines.
Pressure Dots (Circles): These appear at the extreme bands (below 20 or above 80) to signal extreme overbought or oversold conditions where a reversal is highly probable.
How to Use It in Trading
Trend Reversals: Watch for the Green Line to cross over the Red Line and LSMA from below 20 (oversold) for a bullish entry signal. Conversely, a cross downward from above 80 (overbought) signals a bearish reversal.
Momentum Strength: Use the shaded "Energy" area to gauge the strength of a move. Expanding energy confirms the trend, while contracting energy warns of consolidation or a fading move.
Extreme Zones: Pay close attention to the "Pressure" dots. When these populate at the top or bottom of the oscillator, it suggests the current move is exhausted and a mean-reversion setup is forming.
Credits
All credit for the original concept, mathematics, and logic goes to WyckoffMode , along with the original open-source contributors ( LazyBear , xSilas , Ni6HTH4wK ). You can view the legacy version of this script here: Phoenix Ascending 2.201 by WyckoffMode .
You can also find some helpful videos on how to use the script there. 지표
Jack Signals - GC Bridge [JOAT]XAU SPOT GOLD FUTURES BRIDGE
Most gold analysis, levels and signals are quoted in XAUUSD spot . A large number of traders execute in GC or MGC futures . Those two markets do not print the same number, and the difference between them is not a constant you can memorise.
That difference is the basis : cost of carry plus time to expiry. It drifts through the session, widens as a contract ages, and jumps at the roll. A December contract can sit $60 above spot while the front month sits $10 above. Any fixed offset is wrong the moment you change contract, and quietly wrong every day in between.
This indicator puts spot onto the futures chart and translates in both directions, live.
[bWHAT IT DRAWS
Live spot line across the entire chart, with a price tag pinned to the last bar
Ghost spot candles — real XAUUSD OHLC, so you see how spot is moving, not only where it is
Price tag on the futures candles carrying their spot equivalent
Fair-value line — spot plus the mean basis, i.e. where futures would trade if the spread were behaving
Session high and low , labelled in both units
Liquidity levels from swing pivots, marked SWEPT once taken
───────────── READING FUTURES BACK IN SPOT ─────────────
The reverse conversion is the one used most. You are looking at a wick on the futures chart and your level is written in spot. Every level is labelled with both prices, so "did that sweep reach 4453 spot?" becomes readable instead of a calculation.
───────────── THE BASIS IS Z-SCORED ─────────────
This is the part that is not just arithmetic.
The spread is measured against its own recent behaviour:
z = (basis − mean(basis)) / stdev(basis)
A fixed tolerance such as "warn if the basis moves more than $1.50" is the wrong test, because how far the basis normally moves is itself not constant. Normalising it against its own standard deviation is.
When the spread is stretched beyond your threshold, the dashboard flags it and level conversion falls back to the mean basis instead of the live one. This is not decoration: convert a stop at a three-sigma basis and you have baked a temporary distortion into it, so when the spread reverts your stop sits in the wrong place. The fair-value line makes the same thing visible — when candles pull away from it, the spread is moving, not gold.
───────────── OPTIONAL: CONVERT A FULL SETUP ─────────────
Enter two entries, a stop and three targets in spot, and it draws them on the futures chart at the converted prices, each labelled with both numbers. Leave them at zero and those rows disappear entirely — the live mirror works on its own with nothing filled in.
With a setup loaded it also sizes the position. Enter account size and risk percent and it returns a contract count from the real tick value, warns when a single stop-out would consume more than half a daily loss limit, and states plainly when the answer is that the trade does not fit the account.
A useful identity: gold levels are commonly quoted in 0.10 increments, which is exactly one COMEX gold tick. An 80-pip stop is 80 ticks — $800 per GC contract, $80 per MGC . No conversion, no rounding.
There is also an optional ATR trailing stop for a runner leg, armed when price reaches a chosen target.
───────────── NOTES AND LIMITATIONS ─────────────
The basis is read off the chart symbol , so it is correct on GC1!, any dated contract, and MGC with nothing to configure
Ghost candles inherit the futures session. During hours when spot trades and futures do not, there is no bar to draw them on
Pivots confirm N bars after forming. That is the definition of a swing, not a lag in the script
The displayed basis is smoothed to stop two independently-ticking feeds flickering. The reverse conversion deliberately uses the raw basis so the futures readout and the spot readout can never disagree
Default settings draw only the spot line, ghost candles and the two price tags. Levels and liquidity are switched off so the chart stays clean — turn them on individually
This indicator generates no buy or sell signals and has no view on direction. It converts prices between two related instruments, sizes a position, and can trail a runner.
Nothing here is financial advice, and no performance is claimed or implied. Test on a simulated account before risking money.
지표
Bitcoin SuperFlip | Supertrend EMA Trend-Following StrategySuperFlip combines two of the most widely tested trend-following tools on TradingView — the ATR-based Supertrend and a long-period EMA trend filter — into a single directional strategy built and tuned for BTCUSD on the 1-hour chart. The goal isn't novelty; it's a clean, well-understood core (Supertrend flips) layered with a simple confirmation filter (EMA200) and an optional secondary filter (ADX) to reduce whipsaw entries during choppy, low-conviction conditions.
This is a trend-following, not mean-reversion system. It will have a lower win rate than a typical scalping strategy, and that is by design — trend systems make their money from a smaller number of large winning trades that outweigh a higher frequency of small losses.
How it works
Supertrend (ATR-based) tracks the prevailing trend direction and flips when price crosses its dynamic ATR band. This flip is the core trigger for both entries and exits.
EMA200 trend filter only allows longs when price is above the 200-period EMA, and shorts when price is below it — filtering out counter-trend signals that go against the higher-timeframe bias.
Optional ADX filter (off by default) adds a trend-strength gate, only allowing entries when ADX is above a user-set threshold (default 20). This is intended to reduce entries during flat, directionless conditions where Supertrend tends to whipsaw.
Flip-based exits: positions close automatically when Supertrend flips in the opposite direction — this is the primary exit mechanism.
Optional Stop Loss / Take Profit: percentage-based SL/TP can be layered on top of the flip exit as a secondary risk cap (off by default in the current preset — see warnings below).
Features
Toggleable ADX trend-strength filter with adjustable length, smoothing, and threshold
Optional percentage-based stop loss and take profit
Adjustable Supertrend ATR length/factor and EMA filter length
Visual glow-line Supertrend rendering with layered gradient fill toward price
Bullish/bearish flip markers, separate from actual trade-entry markers, so you can see when Supertrend flips vs. when a trade was actually filtered/taken
Multiple color presets (Classic, Aqua, Cosmic, Cyber, Neon, Custom)
Optional bar and background tinting for at-a-glance trend state
Commission (0.075%) and slippage (1 tick) modeled into backtest results by default
Recommendations
Built and tested for BTCUSD, 1H timeframe — this is the intended use case; other assets/timeframes will require re-tuning.
Position sizing defaults to 25% of equity per trade rather than 100% — this materially reduces drawdown and PnL volatility versus full-equity compounding, and is a more realistic starting point for evaluation.
If enabling the ADX filter, start around threshold 15-20 and sweep from there — lower values retain more trades at the cost of some whipsaw protection, higher values do the opposite.
Consider re-enabling a wider stop loss (8-10%+) rather than running with SL fully disabled, especially before using on a leveraged instrument.
Always forward-test or paper-trade before committing real capital — historical performance on a fixed backtest window is not a guarantee of future results.
Warnings
No stop loss is enabled by default in this configuration. Running without a stop loss on a leveraged or volatile asset like BTC carries real, uncapped downside risk per trade — enable and size a stop loss appropriate to your risk tolerance before live use.
With low trade counts (roughly 50-100 in typical backtests), a small number of outlier trades can heavily influence headline profit factor and total return figures — inspect the individual trade list, not just summary stats, before trusting the numbers.
High reported PnL% figures are sensitive to default_qty_value (percent-of-equity compounding) and can look far more impressive than the underlying edge actually is. Judge the strategy primarily by win rate, profit factor, and drawdown — not raw percentage return.
Past performance on historical data does not predict future results. This script is provided for educational and research purposes and is not financial advice.
전략
Master Line Plus. Multi-MA ConsensusMaster Line Plus — Multi-MA Consensus with Agreement Score
Master Line Plus blends eight different moving-average families into a single consensus trend line, measures how strongly those averages agree, and filters direction with a volatility-aware band. It's a clean, open-source way to read one trend reference — plus a sense of how much conviction is behind it — instead of stacking many moving averages on the chart.
How it works
Every moving-average type reacts to price differently. EMA and WMA weight recent bars heavily and turn quickly; SMA weights all bars equally and turns slowly; RMA (Wilder's) is the smoothest; HMA cuts lag while staying responsive; DEMA and TEMA use multiple EMA passes to reduce lag further; and ALMA applies a Gaussian weighting to balance smoothness and responsiveness. Each one alone is a compromise — fast types whipsaw in chop, slow types lag at turns.
Plus computes all eight over the same length and averages them into one line:
consensus = ( EMA + SMA + WMA + HMA + RMA + DEMA + TEMA + ALMA ) / 8
The purpose of the combination is not to stack indicators, but to average out the bias of each MA type: the lag-reducing members keep the line responsive while the smoother members damp noise, producing a trend estimate steadier than any single fast MA yet more responsive than any single slow one. Using eight diverse families (rather than eight EMAs) is what makes the blend meaningful — they disagree in different conditions, and that disagreement is itself information.
Agreement score. Because the eight averages are diverse, Plus also counts how many of them price is trading above. When most agree (e.g. 8/8) the trend is broad and well-supported; when they split (e.g. 5/8) the move is weaker or transitioning. The dashboard shows this as a percentage aligned with the current trend — a simple conviction gauge a single line can't give.
Direction. Trend is decided with an ATR band rather than a raw cross: it turns bullish only when price closes above the consensus by more than Flip band × ATR, bearish only when it closes the same distance below, and holds the previous trend in between. This deadband suppresses the constant flip-flopping of a plain price/MA cross in sideways markets. Triangles mark the exact flip bar, and the line and optional band are colored by trend.
Signal line & higher-timeframe filter. A signal line (an EMA of the consensus) can be shown for slope/cross context. Optionally, a higher-timeframe consensus must agree before a flip is allowed — so on a 1H chart you can require the daily consensus to also be bullish before a long flip prints.
How to use it
Use the consensus line as your trend reference and bias filter — favor longs while it's teal, shorts while it's red.
Read the Agreement % as conviction: high agreement supports staying with the trend; a falling score warns the move is losing breadth.
Enable higher-timeframe agreement to trade only with the larger trend and cut counter-trend signals.
Widen the Flip band on noisy instruments to reduce false flips; narrow it on clean trends for earlier turns. Increase Length for a slower bias; decrease it for a faster read.
Two built-in alerts fire on bullish and bearish flips.
Settings
Consensus — Source, Length (used by all eight MAs), ALMA offset/sigma.
Trend & signal — Flip band (× ATR) and the signal-line length.
Higher timeframe — require HTF agreement for flips, and the HTF to use.
Display — show/fill band, signal line, flip markers, bar coloring, dashboard.
Notes and limitations
This is a trend-following tool. Like all moving-average methods it lags at turning points and can flip late after sharp reversals; the ATR band trades some timing for fewer false signals.
The higher-timeframe consensus uses request.security with lookahead disabled, so it can update on the still-forming HTF bar until that bar closes. On-chart values are likewise evaluated on the current bar and can update in real time until the bar closes.
It does not predict price and makes no performance claims — use it as one input alongside your own analysis and risk management.
For research and education only. This is not financial advice. 지표
EMA Trend ProEMA Trend Pro
OVERVIEW
EMA Trend Pro is a dual moving-average trend tool with built-in confluence filters. It colors the trend, marks momentum shifts when the fast average crosses the slow one, and — unlike a plain moving-average cross — filters those signals through a higher-timeframe trend check and an ATR-based range check to cut down on false signals. A compact info panel keeps the current state visible at a glance.
HOW IT WORKS
The script builds two moving averages from a source of your choice, and you can select the averaging method (EMA, SMA, WMA, RMA, or VWMA):
• Fast MA (default 21) — reacts quickly to recent price.
• Slow MA (default 55) — represents the broader trend.
Their relationship defines the regime:
• Fast above slow → momentum aligned to the upside → bullish (green).
• Fast below slow → momentum aligned to the downside → bearish (red).
A moving average smooths price into a single line; an exponential MA weights recent bars more heavily so it tracks price faster than a simple average. Using two lengths separates short-term momentum (fast) from the prevailing trend (slow), and the point where they cross is a classic signal for a potential shift of control between buyers and sellers.
THE FILTERS (what makes this more than a plain cross)
A raw moving-average cross has two well-known weaknesses: it fires against the larger trend, and it whipsaws when the market is flat. EMA Trend Pro addresses both:
• Higher-timeframe (HTF) filter — the same two averages are also computed on a higher timeframe you choose. Long signals are only allowed when the HTF trend is up, and short signals only when it is down. This keeps you trading with the larger trend instead of against it. The HTF values are read without lookahead, so historical signals do not repaint.
• ATR separation filter — the Average True Range (ATR) measures how much price typically moves per bar. This filter ignores any cross where the two averages are closer together than a chosen multiple of ATR, which removes the low-conviction crosses that happen when the averages are tangled in a tight range.
Both filters are optional and independent, so you can run the tool as a simple cross, a trend-aligned system, or a strict range-aware system.
WHAT IT DRAWS
• Fast MA line, colored by the active trend (green / red).
• Slow MA line as a neutral reference.
• A fill between the two averages, tinted by direction — a wider gap means stronger separation.
• Optional background tint and optional bar coloring for the current regime.
• Triangle markers on the exact bar where a filtered signal occurs (up / down).
INFO PANEL
A small top-right table shows, at a glance:
• Trend — current lower-timeframe direction.
• HTF — the higher-timeframe direction and the timeframe used.
• Signal — LONG, SHORT, or none on the current bar.
HOW TO USE IT
• Trend bias: read green as a long bias and red as a short bias.
• Signals: the up / down triangles mark filtered momentum shifts. With the HTF filter on, they only appear in the direction of the larger trend.
• Reduce noise: enable the ATR separation filter, or raise its multiplier, to keep only stronger crosses.
• Tuning: shorter lengths give faster, more frequent signals; longer lengths give fewer, smoother ones. Try different MA types and a higher timeframe that suits your trading style (for example, a 4H filter for signals taken on lower timeframes).
SETTINGS
• MA type — averaging method (EMA / SMA / WMA / RMA / VWMA).
• Source — price series the averages are built from (default close).
• Fast length / Slow length — the two averages (defaults 21 / 55).
• Higher-timeframe filter + Higher timeframe — enable and choose the HTF trend check.
• Min separation filter + Min separation (× ATR) — enable and set the range filter.
• Trend fill / Trend background / Color bars by trend / Signal markers / Info panel — display toggles.
ALERTS
Four ready-made alerts: filtered Long and Short signals, plus Trend flip up and Trend flip down — so you can be notified on any symbol or timeframe.
NOTES & LIMITATIONS
Moving-average crosses are lagging by nature: they confirm a move after it has begun rather than predicting it. The filters reduce false signals but cannot remove them, and a higher-timeframe filter naturally produces fewer, later entries in exchange for better alignment. This tool is a visual aid for trend direction and momentum shifts — it is not a complete trading system and does not manage risk or position size. Always confirm with your own analysis.
Open-source — feel free to study, use, and build on it.
For research and educational purposes only. This is not financial advice. 지표
Master Line Lite: 5-MA ConsensusMaster Line Lite condenses five different moving-average families into a single, easy-to-read consensus trend line, then filters its direction with a volatility-aware band so the trend only changes when price commits. It's a clean, open-source alternative to stacking several moving averages on one chart.
How it works
Each moving-average type reacts to price differently. An EMA and a WMA weight recent bars heavily and turn quickly; an SMA weights every bar equally and turns slowly; an RMA (Wilder's) is the smoothest; and an HMA cuts lag while staying responsive. Any single one is a compromise — fast types whipsaw in chop, slow types lag at turns.
Master Line Lite computes all five over the same length and averages them into one line:
consensus = ( EMA + SMA + WMA + HMA + RMA ) / 5
Blending the five balances their individual biases: the fast members keep the line responsive while the slow members damp noise. That's the purpose of the combination — not to stack indicators, but to average out the weakness of each MA type into one steadier reference than a single fast MA, yet more responsive than a single slow one.
Direction is then decided with an ATR band instead of a raw cross. The trend turns bullish only when price closes above the line by more than Flip band × ATR, and bearish only when it closes the same distance below; between those thresholds the previous trend is held. This deadband is what suppresses the constant flip-flopping of a plain price/MA cross during sideways markets.
The line is colored by the current trend, an optional band shows the flip thresholds, and triangles mark the exact bar where the trend flips.
How to use it
Use the line as a trend reference and bias filter — favor longs while it's teal, shorts while it's red.
The triangles flag where the consensus trend changes — a "context has shifted" cue, not a standalone entry.
Widen the Flip band on noisy/ranging instruments to cut false flips; narrow it on clean trends for earlier turns.
Increase Length for a slower higher-timeframe bias; decrease it for a faster intraday read.
Two built-in alerts fire on bullish and bearish flips.
Settings
Source — price series the averages are built from (default: close).
Length — lookback used for all five moving averages.
Flip band (× ATR) — how far price must clear the line to change the trend; the core noise filter.
Show band — draw the upper/lower flip thresholds.
Color bars by trend — tint candles with the trend color.
Show status box — small top-right label with the current Bull / Bear / Flat state.
Notes and limitations
Like all moving-average methods, this lags at turning points and can flip late after sharp reversals — the ATR band trades some timing for fewer false signals. Values can update on the still-forming real-time bar until it closes. It does not predict price and makes no performance claims; use it as one input alongside your own analysis and risk management.
For research and education only. This is not financial advice. 지표
EMA Trend SignalsEMA Trend Signals
OVERVIEW
EMA Trend Signals is a clean, lightweight trend-following tool built around two exponential moving averages (EMAs). It colors the trend, highlights the space between the two averages, and marks the exact bars where the fast average crosses the slow one — giving an at-a-glance read on direction and momentum shifts without cluttering the chart.
HOW IT WORKS
The script calculates two EMAs from a source of your choice:
• Fast EMA (default 21) — reacts quickly to recent price.
• Slow EMA (default 55) — represents the broader trend.
The relationship between them defines the regime:
• Fast EMA above the slow EMA → momentum is aligned to the upside → bullish (green).
• Fast EMA below the slow EMA → momentum is aligned to the downside → bearish (red).
An EMA is a weighted average that gives more importance to recent bars, so it follows price faster than a simple moving average while still smoothing out noise. Using two lengths separates short-term momentum (fast) from the prevailing trend (slow); the point where they cross is a classic, widely used signal for a potential shift in control between buyers and sellers.
WHAT IT DRAWS
• Fast EMA line, colored by the active trend (green / red).
• Slow EMA line as a neutral reference.
• A soft fill between the two EMAs, tinted by direction — a wider gap means stronger separation.
• An optional light background tint showing the current regime.
• Triangle markers on the exact bar where a cross occurs (up / down).
HOW TO USE IT
• Trend bias: read green as a long bias and red as a short bias. Many traders only take positions in the direction of the color.
• Signals: the up-triangle (fast crosses above slow) and down-triangle (fast crosses below slow) mark momentum shifts. They perform best in trending conditions and will whipsaw in tight ranges — pair them with your own structure, key levels, or a higher-timeframe filter.
• Tuning: shorten the lengths for faster, more frequent signals; lengthen them for fewer, smoother ones. Change the Source input to apply the logic to hl2, hlc3, and so on.
ALERTS
Two ready-made alerts are included — "EMA Cross Up" and "EMA Cross Down" — so you can be notified the moment a cross happens on any symbol or timeframe.
SETTINGS
• Source — price series the EMAs are built from (default close).
• Fast EMA length — short-term average (default 21).
• Slow EMA length — trend average (default 55).
• Trend background — toggle the regime tint.
• Cross markers — toggle the triangle shapes.
NOTES & LIMITATIONS
Moving-average crosses are lagging by nature: they confirm a move after it has already begun rather than predicting it, and they can produce false signals in sideways markets. This tool is a visual aid for trend direction and momentum shifts — it is not a complete trading system and does not manage risk or position size. Always confirm with your own analysis.
Open-source — feel free to study, use, and build on it.
For research and educational purposes only. This is not financial advice. 지표
Momentum Peak Breakout-Pro [Saheewin]🚀 Momentum Peak Breakout — Premium Multi-Timeframe Trading System
Momentum Peak Breakout is a premium-class technical analysis indicator built around a simple but powerful concept:
Momentum must break its previous structural peak or trough, and price must confirm the breakout.
The system then uses multi-timeframe EMA alignment, optional momentum-quality filters, price/momentum divergence and structured Risk/Reward levels to help traders identify and manage potential directional opportunities.
It is designed to provide a complete visual framework for entry confirmation, trade management and disciplined decision-making.
🟢 BUY SIGNAL
A BUY signal is generated when:
The green momentum histogram breaks above the previous green high momentum peak.
The price candle closes above the corresponding previous price peak.
EMA 1 > EMA 2 confirms bullish directional alignment.
Any enabled signal-quality filters are satisfied.
The trade-spacing and live-trade rules allow a new position.
BUY Concept
Momentum Peak Break + Price Breakout + Bullish EMA Alignment
🔴 SELL SIGNAL
A SELL signal is generated when:
The red momentum histogram breaks below the previous red low momentum trough.
The price candle closes below the corresponding previous price trough.
EMA 1 < EMA 2 confirms bearish directional alignment.
Any enabled signal-quality filters are satisfied.
The trade-spacing and live-trade rules allow a new position.
SELL Concept
Momentum Trough Break + Price Breakdown + Bearish EMA Alignment
📊 Multi-Timeframe EMA Confirmation
The indicator automatically selects three relevant timeframes based on the current chart timeframe.
The EMA lengths are user-settable, allowing traders to adapt the system to different markets and trading styles.
The primary directional relationship is:
Bullish → EMA 1 > EMA 2
Bearish → EMA 1 < EMA 2
This provides a broader trend context while keeping the actual entry trigger focused on momentum and price structure.
⚡ Optional Signal-Quality Filters
The indicator includes three optional filters designed specifically to improve the quality of momentum-break signals.
1️⃣ Momentum Expansion
Measures whether momentum is breaking the previous peak/trough with sufficient strength.
A small marginal break and a strong momentum expansion are treated differently.
2️⃣ Breakout Displacement
Measures how decisively price closes beyond the previous price structure, normalized against market volatility.
This can help avoid weak breakouts where price barely moves beyond the previous level.
3️⃣ Market Efficiency Ratio
Measures whether the market is moving efficiently in a directional manner or behaving in a more sideways/choppy fashion.
All three filters are optional and user-settable.
Traders can use them individually or combine them depending on the market and timeframe.
🔄 Optional Price–Momentum Divergence
The indicator also provides an optional Price vs Momentum Divergence module.
🟢 Bullish Divergence
Price forms a Lower Low, while momentum forms a Higher Low.
🔴 Bearish Divergence
Price forms a Higher High, while momentum forms a Lower High.
Divergence signals are independent analytical signals and can be used to identify potential changes in momentum or developing directional opportunities.
🎯 Integrated Trade Box
Each primary BUY/SELL trade can be accompanied by a visual Trade Box containing:
Entry → SL → TP1 → TP2 → TP3
The stop-loss is based on EMA 2.
The target structure is:
TP1 = 1:1.5 Risk/Reward
TP2 = 1:3 Risk/Reward
TP3 = 1:5 Risk/Reward
📐 Understanding the Risk/Reward Calculation
The system calculates the targets from the distance between Entry and SL.
BUY Example
Suppose:
Entry = 100
SL = 98
Risk =:
100 − 98 = 2 points
Therefore:
TP1 = 100 + (2 × 1.5) = 103
TP2 = 100 + (2 × 3) = 106
TP3 = 100 + (2 × 5) = 110
So the potential reward structure is:
SL = −1R
TP1 = +1.5R
TP2 = +3R
TP3 = +5R
SELL Example
Suppose:
Entry = 100
SL = 102
Risk =:
102 − 100 = 2 points
Therefore:
TP1 = 100 − (2 × 1.5) = 97
TP2 = 100 − (2 × 3) = 94
TP3 = 100 − (2 × 5) = 90
Again:
SL = −1R
TP1 = +1.5R
TP2 = +3R
TP3 = +5R
This structured approach allows traders to define the risk before entering the trade rather than deciding the stop and target after the position has already moved.
📈 Trade Statistics
An optional statistics panel helps traders evaluate the signals generated by the indicator.
It can track:
Total Trades
Winning Trades
SL Trades
TP1 Wins
TP2 Wins
TP3 Wins
Winning Rate
Open Trades
Last Trade Status
This allows traders to study the behavior of the indicator on different markets and timeframes rather than relying only on individual signals.
🧠 Designed for Disciplined Traders
Momentum Peak Breakout is intended as a premium-class trading and learning framework.
The purpose is not simply to generate as many signals as possible.
The objective is to help a disciplined trader learn to recognize:
Momentum expansion
Structural momentum breaks
Price confirmation
EMA directional alignment
Breakout quality
Market efficiency
Price/momentum divergence
Risk before entry
Reward potential before entry
Trade management discipline
A trader can use the indicator as a standalone technical-analysis framework to study potential entries and exits.
At the same time, experienced traders can combine the indicator with their own trading strategy, market structure analysis, price-action techniques, support/resistance, volume analysis or execution methodology to create a more selective and potentially higher-quality trading approach.
The key principle:
Do not trade every signal. Learn to identify the signals that fit your strategy, market condition and risk plan.
The indicator provides the framework.
The trader provides the discipline.
🌎 Any Market • Any Timeframe
The indicator is designed to be adaptable across:
Stocks
Indices
Futures
Forex
Commodities
Crypto
Other liquid markets
It can be used across different chart timeframes, from lower intraday timeframes to higher-timeframe analysis.
However, traders should always test the settings and behavior for the specific market and timeframe being traded.
⚠️ IMPORTANT DISCLAIMER
This indicator is provided strictly for educational and informational purposes only.
It is not financial advice, investment advice, trading advice or a recommendation to buy or sell any financial instrument.
No indicator or trading system can guarantee profitable trades, winning trades or future performance.
Signals can fail, particularly during volatile, low-liquidity, sideways or rapidly changing market conditions.
Past performance does not guarantee future results.
Users are responsible for conducting their own research, testing the indicator under appropriate market conditions and applying proper risk management and position sizing.
Never risk money you cannot afford to lose.
Trade with discipline, understand your risk before entering, and use this indicator as a tool for education, analysis and structured decision-making. 지표
3 EMA + HH/LL Structure Break [ Trend and Structure combined] v23EMA PRO V2 is a structured EMA + market-structure indicator designed for intraday trading on instruments such as XAUUSD and BTCUSD.
The system combines 20 EMA, 50 EMA and 100 EMA with 10/10 pivot-based market structure to identify trend-following and reversal opportunities.
🔹 Core EMA Logic
Trend Following BUY
100 EMA is below both 20 EMA and 50 EMA.
20 EMA crosses above 50 EMA.
The system looks for confirmation through market structure.
Trend Following SELL
100 EMA is above both 20 EMA and 50 EMA.
20 EMA crosses below 50 EMA.
The system looks for bearish structure confirmation.
Reversal BUY
Fast and middle EMA move/cross above the 100 EMA.
Used to identify potential bullish reversal conditions.
Reversal SELL
Fast and middle EMA move/cross below the 100 EMA.
Used to identify potential bearish reversal conditions.
🔹 Market Structure Confirmation
The indicator uses 10 Left / 10 Right pivots to identify:
HH — Higher High
HL — Higher Low
LH — Lower High
LL — Lower Low
The important concept is EMA signal + structure confirmation, rather than taking every EMA crossover immediately.
If the EMA signal appears before the structure break, the system waits for the corresponding HH/LL breakout candle to close.
If the structure break happens before the EMA signal, the system waits for the EMA confirmation and then looks for a neckline retest before entry.
🔹 Entry
The indicator provides:
🟢 BUY labels
🔴 SELL labels
Entry price
SL
TP1
TP2
TP3
Reversal / Trend classification
🔹 Risk Management
TP and SL are fully configurable in dollar values.
You can independently adjust:
TP1 ($)
TP2 ($)
TP3 ($)
SL ($)
Position size
🔹 Backtest Statistics
The indicator includes an internal last 500 signals performance table, displaying:
Total signals
Win rate
Wins / losses
Break-even trades
Net P/L
Profit Factor
Maximum drawdown
BUY / SELL count
Reversal / Trend count
TP1 / TP2 / TP3 hits
SL hits
Current EMA and pivot settings
⚠️ Important
This indicator is intended as a technical analysis and decision-support tool, not a guarantee of profitable trading. Backtest results can vary significantly depending on the symbol, timeframe, spread, commission, slippage and execution conditions.
Suggested starting configuration:
EMA: 20 / 50 / 100
Pivot: 10 / 10
Markets: XAUUSD / BTCUSD
Timeframes: 1M / 5M 지표
Multi-Timeframe MA ForecastMulti-Timeframe MA Forecast
This indicator combines two things that other MA tools don't: it plots a moving average from any timeframe onto your chart using proper multi-timeframe handling, and it projects that average forward under a simple assumption, that price holds at the current value while the calculation window rolls ahead. The result is a forward view of where the MA is headed if price goes nowhere, which is a different and useful question from where the MA has been.
Why forecast a moving average
An MA's slope isn't entirely driven by "recent price action" in the vague sense traders usually mean. At any given bar, the slope is set by one comparison: the price entering the average versus the price leaving it. A rising 50-day SMA can flatten or roll over not because anything new happened today, but because the price from 50 days ago, now dropping out of the window, was unusually high or low. That effect is knowable in advance since it depends on price action that already happened.
This matters because many systematic and algorithmic strategies key off MA slope and MA crossovers as regime filters. If you can see that a large gap is about to roll out of a 200-period window, you can anticipate a slope change before it shows up on the indicator itself, rather than reacting to it after the fact.
The forecast is not a price prediction. It answers a narrower, mechanical question: given the prices already in the pipeline, what does this average do next if price simply holds still.
Why MA slope matters for support and resistance
Slope changes the character of an MA:
- Price above a rising MA: the MA tends to act as support
- Price below a rising MA: the MA tends to act as a magnet , pulling price back up toward it
- Price below a falling MA: the MA tends to act as resistance
- Price above a falling MA: the MA tends to act as a magnet , pulling price back down toward it
A forecasted slope flip is an early signal that the MA's role relative to price may be about to change.
How the timeframe handling works
Set the Timeframe higher, lower, or equal to your chart's. The average is calculated on that timeframe using TradingView's multi-timeframe request functions, so the current bar always reflects the true live value of the higher-timeframe average, including the period still forming.
When the Timeframe is higher than the chart, history is drawn as a stairstep: once a higher-timeframe period closes, its final value is drawn back across the bars of that period. This is retroactive, the value shown mid-period was not knowable until that period actually closed, and it gives the clean, stepped look most MTF overlays use. When the Timeframe is the same as or lower than the chart, there's no period to wait for, so the line simply reflects the true value on every bar as it happens.
Either way, the forecast always starts from the current, fully up-to-date value of the average.
Forecast styling is separate from the MA's
The moving average uses its own Line Thickness and MA Line Style inputs, and the forecast has a matching, independently-set Forecast Line Style. These are exposed as inputs rather than through the native Style tab because the forecast is built from a drawing object rather than a plotted series, and drawing objects can't be styled from that tab. Giving the MA its own matching inputs, rather than mixing native Style-tab controls with input-based ones, keeps both fully and consistently customizable.
Supported MA types
SMA (simple), EMA (exponential), WMA (weighted), and HMA (Hull) are supported, each forecast using that type's own real recurrence rather than a shared approximation. EMA and SMA are the cheapest to compute; WMA and HMA require tracking the full calculation window at every forecast step.
Memory limitations on extreme timeframe ratios
Pulling multi-timeframe history through TradingView's request functions has a memory cost that scales with the ratio between the chart timeframe and MA timeframe, particularly when the MA timeframe is much lower than the chart's. In practice:
- EMA has no meaningful limit, since it doesn't require historical window data
- SMA can handle roughly double the timeframe ratio or MA length that WMA and HMA can, before hitting TradingView's memory ceiling
- Very extreme combinations, for example a 1-hour MA on a weekly chart with a long length, can hit a runtime memory error
If you see a memory error, try a coarser MA timeframe, a shorter MA length, switching to EMA or SMA, or lowering the Forecast % input, all of which reduce the amount of historical data the script needs to hold.
---
Every request.security() call in this script that uses barmerge.lookahead_on does so only on a history-offset expression, per TradingView's documented pattern for retrieving higher-timeframe data without lookahead bias. No un-offset higher-timeframe value is ever requested with lookahead_on. 지표
Golden Trident | Swing-Anchored VWAP Trend SystemGolden Trident is a long-only, daily-timeframe trend-following strategy built specifically for XAUUSD (spot gold). Rather than relying on a lagging moving-average crossover or a single volatility band, it reads market structure directly — tracking swing highs and lows to determine trend direction — and pairs that with a volume-weighted anchor price that resets at every structural trend change. This gives the strategy a "fair value" reference line that adapts to each new trend leg rather than dragging a fixed-length average behind it.
The strategy is deliberately long-only. Gold has spent most of its liquid trading history in a secular uptrend, and countertrend short entries were found to meaningfully drag down both total return and risk-adjusted performance without adding diversification benefit — so the system simply steps to the sidelines when structure turns bearish, rather than fighting the dominant trend.
Position sizing is intentionally simple: a fixed percentage of equity per trade, compounding as equity grows. Risk management is handled by a single wide "catastrophe" stop rather than a tight trailing stop — the strategy is designed to exit on genuine trend reversal, not to be shaken out by normal daily noise.
How It Works
Swing Structure (Trigger): The strategy tracks rolling swing highs and lows over a configurable lookback. When the most recent extreme is a new high, structure is bullish; when it's a new low, structure is bearish.
Anchored VWAP (Trend Reference): Each time structure flips, the volume-weighted average price calculation resets and begins accumulating fresh from that point — producing a trend-relative fair-value line rather than a static average.
EMA200 Filter (Structure Confirmation): Long entries additionally require price to be trading above the 200-period EMA, keeping trades aligned with the macro trend.
Chop Filter (Volatility Gate): Entries are blocked when recent price range is too narrow relative to ATR — this avoids entering on structural "flips" that occur during sideways consolidation, where they're most likely to reverse immediately.
Exit: Positions close purely on structural trend reversal. No trailing stop is used, since research during development found trailing exits tended to cap winning trades prematurely without meaningfully reducing losses.
Backstop Stop: A wide ATR-based stop exists purely as disaster protection for extreme, unexpected moves — it is not intended to be part of normal trade management.
Features
Swing-structure trend detection (not a lagging indicator crossover)
Self-resetting anchored VWAP trend reference
Optional EMA200 macro trend filter
Optional ATR-based chop/consolidation filter
Configurable backtest date range
Trade outcome visualization (colored boxes showing each closed trade's entry-to-exit range)
Live dashboard showing current structure, volatility state, position size, and open P/L
Gold-themed visual design with gradient trend fill and directional bar coloring
Tips for Use
Timeframe: Designed and tested on the daily chart. Shorter timeframes will likely need proportionally shorter swing/EMA/ATR lengths.
Data quality matters: Backtest only over periods with clean, liquid, consistently-quoted price and volume data. Very long historical ranges on XAUUSD may include gold-standard-era pricing or unreliable volume that will distort results — the built-in date range inputs default to 2010 onward for this reason.
Position sizing: The default equity percentage is aggressive. Test at a lower size first and scale up only after reviewing max drawdown and worst losing-streak length for your specific test window — position sizing should reflect your own risk tolerance, not just backtest profit factor.
Shorting: Short entries exist as a toggle for experimentation, but are off by default based on backtest performance on gold's historical trend bias. Re-enabling changes the strategy's risk profile meaningfully.
Not financial advice: This is a backtesting and educational tool. Past performance on historical data does not guarantee future results.
전략
GM Fusion OscillatorCombo Oscillator – MACD + Stochastic + RSI + EMA
The Combo Oscillator combines four widely used technical indicators into one simple momentum oscillator:
MACD + Stochastic + RSI + EMA
Instead of switching between several indicators, the Combo Oscillator combines their information into one normalized and smoothed line.
🟢 GREEN / BULLISH SIGNAL
Generated when the combined oscillator crosses above the zero line, indicating a potential shift toward bullish momentum.
🔴 RED / BEARISH SIGNAL
Generated when the combined oscillator crosses below the zero line, indicating a potential shift toward bearish momentum.
The oscillator also uses ATR normalization, allowing indicators with different scales to work together in one combined calculation.
DEFAULT SETTINGS:
EMA: 21 / 55
MACD: 12 / 26 / 9
RSI: 14
Stochastic: 14 / 3 / 3
ATR: 14
Smoothing: 3
The major parameters are adjustable, allowing traders to experiment with different settings for different markets and timeframes.
The Combo Oscillator is designed as a momentum and confirmation tool, not as a standalone trading system.
For best use, combine it with your own analysis, market structure, support and resistance, liquidity and risk management.
One oscillator.
Four indicators.
One clear view of momentum. 지표
Combo Oscillator - MACD + Stoch + RSI + EMACombo Oscillator – MACD + Stochastic + RSI + EMA
The Combo Oscillator combines four widely used technical indicators into one simple momentum oscillator:
MACD + Stochastic + RSI + EMA
Instead of switching between several indicators, the Combo Oscillator combines their information into one normalized and smoothed line.
🟢 GREEN / BULLISH SIGNAL
Generated when the combined oscillator crosses above the zero line, indicating a potential shift toward bullish momentum.
🔴 RED / BEARISH SIGNAL
Generated when the combined oscillator crosses below the zero line, indicating a potential shift toward bearish momentum.
The oscillator also uses ATR normalization, allowing indicators with different scales to work together in one combined calculation.
DEFAULT SETTINGS:
EMA: 21 / 55
MACD: 12 / 26 / 9
RSI: 14
Stochastic: 14 / 3 / 3
ATR: 14
Smoothing: 3
The major parameters are adjustable, allowing traders to experiment with different settings for different markets and timeframes.
The Combo Oscillator is designed as a momentum and confirmation tool, not as a standalone trading system.
For best use, combine it with your own analysis, market structure, support and resistance, liquidity and risk management.
One oscillator.
Four indicators.
One clear view of momentum. 지표
STOC - EMA + RSI Pullback TraderThe STOC – EMA RSI Pullback Trader is a long-only trend-following indicator designed to identify potential entries during bullish trends and controlled pullbacks.
Instead of chasing price after a large upward move, the indicator looks for opportunities when price returns toward the faster trend average while the broader trend remains positive.
How it works
The indicator combines:
* 20 EMA for identifying short-term momentum and pullback areas.
* 50 EMA for determining the broader trend.
* RSI for confirming that momentum remains bullish.
An initial Buy signal can appear when the 20 EMA crosses above the 50 EMA and RSI confirms positive momentum.
After the bullish trend is established, a Pullback Buy signal can appear when price revisits the 20 EMA and subsequently confirms strength above it while RSI remains above the selected bullish threshold.
Exit methods
The indicator provides three selectable exit methods:
* 20 EMA crossing below the 50 EMA.
* Price closing below the 50 EMA.
* Either condition, whichever occurs first.
The “Either Condition” setting offers more defensive trade management, while the EMA crossover exit generally gives the trend more room to develop.
Key features
* Initial EMA crossover entries.
* Trend-continuation pullback entries.
* RSI momentum confirmation.
* Adjustable EMA and RSI settings.
* Optional requirement for rising RSI.
* Multiple pullback-confirmation methods.
* Selectable exit logic.
* Buy, Pullback Buy and Exit labels.
* Active-trade background highlighting.
* Trend and trade-status dashboard.
* TradingView alert conditions.
* Dynamic JSON messages for webhook integration.
* Works across equities, indices, futures, forex and cryptocurrencies.
How to use
The indicator is best used on instruments displaying a clear directional trend.
A valid bullish environment generally exists when:
* The 20 EMA is above the 50 EMA.
* Price is trading above the 50 EMA.
* RSI is above 50.
The initial Buy signal identifies a possible new bullish trend. Pullback Buy signals identify potential re-entry opportunities after price returns toward the 20 EMA without invalidating the broader trend.
Avoid treating every signal as an automatic trade. Consider confirming the setup using:
* Higher-timeframe trend direction.
* Support and resistance.
* Breakout structure.
* Volume expansion.
* Relative strength.
* Overall market and sector conditions.
Suggested timeframes
* Daily and weekly charts: positional and swing trading.
* 1-hour and 4-hour charts: shorter-term swing trading.
* 5-minute and 15-minute charts: intraday trading with additional market and volume confirmation.
Alerts
Create a TradingView alert using “Any alert() function call” to receive the indicator’s dynamic Buy and Exit messages. Standard Buy and Exit alert conditions are also available.
Disclaimer
This indicator is provided solely for educational and informational purposes. It does not constitute investment advice, financial advice, trading advice or a recommendation to buy or sell any security or financial instrument.
Trading and investing involve substantial risk, including the possible loss of capital. Historical signals and past performance do not guarantee future results. Always perform your own analysis, apply appropriate position sizing and risk management, and consult a qualified financial professional when necessary. 지표
MA Ribbon Aurora_Channel_V1 (DRIZZLE_ALGO56) MA Ribbon with Aurora Channels UI
█ Overview
MA Ribbon with Aurora Channels UI is an experimental indicator designed to modernize the classic Moving Average Ribbon. Instead of relying on static trailing averages—which frequently lag during sharp structural shifts—the system fuses custom MA ribbons with Flipped (Inverse) Ribbon Dynamics, Volume Expansion Multipliers, and Asymmetrical Wick Ratios, wrapped inside a real-time HUD interface.
The indicator converts standard ribbon dispersion into a multi-layered, volatility-adaptive envelope (Core Channel, Expansion Envelope, and Trigger Buffer). The channel automatically expands during high-volume momentum breakouts and contracts during low-volatility consolidation phases.
⚠️ Author Note: This project is an experimental research prototype. Optimal performance requires manual tuning of parameter settings (smoothing lengths, volume sensitivity, and width multipliers) based on your target asset, timeframe, and prevailing market regime.
█ How It Works
⚪ Dynamic Midline Engine
The system averages all active moving averages (supporting SMA, EMA, SMMA, WMA, VWMA) to create a central equilibrium reference line.
⚪ Flipped Ribbon & Width Engine
Rather than relying purely on standard moving average distance, the indicator calculates inverse mirror projections for every active ribbon line to measure true structural price dispersion:
flip = 2 * source - ma
The maximum deviation across normal and flipped lines defines the raw channel width, which is then smoothed using an exponential moving average:
rawWidth = math.max(math.abs(diff1), math.abs(diff2), math.abs(diff3), math.abs(diff4))
⚪ Volume-Driven Expansion
Channel width dynamically scales upward when volume participation exceeds its baseline moving average, ensuring bands react instantly to institutional volume spikes:
volRatio = volume / volMa
volBoost = 1.0 + math.max(0.0, volRatio - 1.0) * volSens
⚪ Asymmetrical Wick Balancing
Upper and lower envelope boundaries expand independently based on the ratio of directional wicks relative to ATR. This prevents false boundary breaches caused by one-sided wick rejections:
upAsym = 1.0 + asymStr * (ur / math.max(atrVal, syminfo.mintick))
dnAsym = 1.0 + asymStr * (lr / math.max(atrVal, syminfo.mintick))
⚪ Aurora Multi-Layer Bounds
The engine calculates three distinct volatility zones:
Core Channel: The primary equilibrium zone surrounding the midline.
Expansion Envelope: Outermost normal volatility bounds where directional acceleration occurs.
Trigger Buffer: An extreme extension boundary for mean-reversion cues.
⚪ Signal Engine & HUD Dashboard
The script tracks zone transitions, logging whether a boundary breach represents a 1st Touch or a Retest. The real-time HUD table tracks current zone regime, duration, ribbon compression percentage, active volume boost, and touch history directly on the chart.
█ How to Use
⚪ Volatility Contraction & Compression
When the Ribbon Tightness value on the HUD falls below 30%, the MA ribbon is in deep compression. Price residing strictly inside the Core Channel signals neutral range consolidation prior to a breakout.
⚪ Trend Expansion & Momentum Setup
A candle close outside the Expansion Envelope indicates institutional volume acceleration. Look for 1st Touch (triangle) or Retest (circle) shapes for momentum entries aligned with expanding channel width.
⚪ Mean-Reversion / Profit-Taking Setup
When price reaches or breaches the outer Trigger Buffer, market expansion is overextended. Look for mean-reversion rejections back toward the Core Channel or Midline.
█ Settings
MA Ribbon Inputs
MA #1 – #4: Enable or disable up to four independent moving averages. Select the MA type (SMA, EMA, SMMA, WMA, VWMA), source, length, and plot color.
Display
Show Normal / Flipped Ribbon: Toggle visibility of standard ribbon lines or mirror projections.
Show Core / Envelope / Trigger: Toggle individual channel layer visibility.
Show Dashboard & Position: Enable the real-time HUD and select its chart overlay anchor.
Show Signal Shapes: Enable breakout and retest signal markers.
Channel Engine
Core Multiplier: Sets the width multiplier for the inner fair-value channel.
Envelope Multiplier: Controls the distance of the momentum envelope bounds.
Trigger Buffer Multiplier: Controls the outer overextension boundary.
Width & Edge Smoothing: Sets the EMA smoothing applied to raw dispersion and final channel edges.
Volume MA Length & Sensitivity: Adjusts how strongly volume spikes expand channel boundaries.
Asymmetry Strength: Controls how aggressively upper/lower bounds deform in response to long wicks.
Colors
Core Upper / Lower: Custom colors for the inner channel clouds.
Envelope / Trigger / Midline: Color selection for boundary lines and fill layers.
Cloud Transparency: Adjusts the opacity gradient of background fills.
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. 지표
