Fair Value Gap / iVFG / Imbalance / MTF SuiteDescription
This indicator detects Fair Value Gaps (FVGs) and Imbalances across up to 10 user-selected timeframes and manages them with precise retest handling and clean visualization options.
What’s unique
3-candle FVG detection per timeframe (no lookahead).
Retest handling: on the first touch the touched edge snaps to the retest wick and the zone recolors (fresh → retested).
Right-side projection limits to avoid endless extensions.
Deterministic multi-TF overlay: HTF zones are computed independently (lookahead off) and drawn in a stable, priority-based order.
iFVG / parked zones: optionally convert a filled gap into an iFVG (parked/blue) instead of deleting/greying it.
Optional Imbalance Add-on (3-candle), with split halves + 50% midline.
How it works (technical)
FVG logic (3 candles):
Bullish when low > high (gap up); Bearish when high < low (gap down).
The created box spans the untraded range of candle B and starts at time .
Retest behavior:
On the first wick-touch, the nearest boundary adapts to the wick extreme. If enabled, the box recolors to a “retested” palette.
Projection:
Boxes extend to the right; optional bar limit constrains length.
Display limits:
FIFO pruning per direction keeps only the newest N boxes; iFVG/grey pools can share or use separate limits.
Imbalance Add-on (optional):
Classic 3-candle imbalance; draws upper/lower halves and an optional 50% midline.
No lookahead / confirmation:
Calculations run with barmerge.lookahead_off; detection finalizes on bar close (repaint-free on close).
How to use
Treat fresh gaps as potential reaction zones or confluence with liquidity / structure.
Use retested gaps for continuation or rejection logic.
Limit right-projection and visible count to keep charts readable on lower TFs.
Combine with your own execution rules (entries, stops, partials).
Key settings
General: adjust/recolor on retest, right-side limit (bars).
Display Limits: max visible per direction; separate iFVG cap if desired.
Visuals: filled vs. outline, transparency, TF labels (auto or custom), label alignment.
Theme: presets (Pegasus Classic, Icefire, Solarized, Heatmap, Pastel, Monochrome) or Custom colors.
Timeframes: enable up to 10 TF slots (e.g., M1/M5/M15/H1/H4/D1…).
Add-on — Imbalance: enable/disable, midline on/off, filled/outline, colors.
Alerts
New Bullish FVG
New Bearish FVG
Add-on: New Bullish Imbalance
Add-on: New Bearish Imbalance
Notes & limitations
FVG detection is confirmed on bar close; intrabar retest recolor can occur as price interacts.
Historical rendering depends on chart history & session settings.
Many TFs + large box counts can be heavy; use projection limits and display caps for performance.
This tool does not generate trade signals; it visualizes inefficiencies for discretionary or rules-based workflows.
Disclaimer
For educational and informational purposes only. Not financial advice.
Access / Support: Invite-only. For access or assistance, please DM.
Multi-timeframe
Multi-Timeframe MACD with Color Mix (Nikko)Multi-Timeframe MACD with Color Mix (Nikko) Indicator
This documentation explains the benefits of the "Multi-Timeframe MACD with Color Mix (Nikko)" indicator for traders and provides easy-to-follow steps on how to use it. Written as of 05:06 AM +07 on Saturday, October 04, 2025, this guide focuses on helping you, as a trader, get the most out of this tool with clear, practical advice before diving into the technical details.
Benefits for Traders
1. Multi-Timeframe Insight
This indicator lets you see momentum trends across 15-minute, 1-hour, 1-day, and 1-week timeframes all on one chart. This big-picture view helps you catch both quick market moves and long-term trends without flipping between charts, saving you time and giving you a fuller understanding of the market.
2. Visual Momentum Representation
The background changes from red to green based on short-term (15m) momentum, giving you a quick, easy-to-see signal—red means bearish (prices might drop), and green means bullish (prices might rise). The histogram uses a mix of red, green, and blue colors to show the combined strength of the 1-hour, 1-day, and 1-week timeframes, helping you spot strong trends at a glance (e.g., a bright mix for strong momentum, darker for weaker).
3. Enhanced Decision-Making
The background and histogram colors work together to confirm trends across different timeframes, making it less likely you’ll act on a false signal. This helps you feel more confident when deciding when to buy, sell, or hold.
4. Proactive Alert System
You can set alerts to notify you when the percentage of bullish timeframes hits your chosen levels (e.g., below 10% for bearish, above 90% for bullish). This keeps you in the loop on big momentum shifts without needing to watch the chart all day—perfect for when you’re busy.
5. Flexibility and Efficiency
You can turn timeframes on or off, adjust settings like speed of the moving averages, and tweak transparency to fit your trading style—whether you’re a fast scalper or a patient swing trader. Everything is shown on one chart, saving you effort, and the colors make it simple to read, even if you’re new to trading.
How to Use It
Getting Started
Add the Indicator: Load the "Multi-Timeframe MACD with Color Mix (Nikko)" onto your TradingView chart using the Pine Script editor or indicator library.
Pick Your Timeframes: Turn on the timeframes that match your trading—use 15m and 1h for quick trades, or 1d and 1w for longer holds—using the enable_15m, enable_1h, enable_1d, enable_1w, and enable_background options.
Reading the Colors
Background Gradient: Watch for red to signal bearish 15m momentum and green for bullish momentum. Adjust the Background_transparency (default 75%, or 25% opacity) if the chart feels too busy—try lowering it to 50 for clearer candlesticks in fast markets.
Histogram and EMA Colors:
The histogram and its Exponential Moving Average (EMA) line show a mix of red (1-week), green (1-day), and blue (1-hour) based on how strong the momentum is in each timeframe.
Brighter colors mean stronger momentum—white (all bright) shows all timeframes are pushing up hard, while darker shades (like gray or black) mean weaker or mixed momentum.
Turn off a timeframe (e.g., enable_1h = false) to see how it changes the color mix and focus on what matters to you.
Setting Alerts
Set Your Levels: Choose a threshold_low (default 10%) and threshold_high (default 90%) based on your comfort zone or past market patterns to catch big turns.
Get Notifications: Use TradingView alerts to get pings when the market hits your set levels, so you can act without staring at the screen.
Practical Tips
Pair with Other Tools: Use it with support/resistance lines or the RSI to double-check your moves and build a solid plan.
Tweak Settings: Adjust fast_length, slow_length, and signal_smoothing to match your asset’s speed, and bump up the lookback (default 50) for steadier trends in wild markets.
Practice First: Test different timeframe combos on a demo account to find what works best for you.
Understanding the Colors (Simple Explanation)
How Colors Work
The histogram and its EMA line use a color mix based on a simple idea from color theory, like mixing paints with red, green, and blue (RGB):
Red comes from the 1-week timeframe, green from 1-day, and blue from 1-hour.
When all three timeframes show strong upward momentum, they blend into bright white—the brightest color, like a super-bright light telling you the market’s roaring up.
If some timeframes are weak or pulling down, the mix gets darker (like gray or black), warning you the momentum might not be solid.
Brighter is Better
Bright Colors = Strong Opportunity: The brighter the histogram and EMA (closer to white), the more all your chosen timeframes are in agreement that prices are rising. This is your signal to think about buying or holding, as it points to a powerful trend you can ride.
Dark Colors = Caution: A darker mix (toward black) means some timeframes are lagging or bearish, suggesting you might wait or consider selling. It’s like a dim light saying, “Hold on, check again.”
Benefit in Practice: Watching the brightness helps you jump on the best trades fast. For example, a bright white histogram on a green background is like a green traffic light—go for it! A dark gray on red is like a red light—pause and rethink. This quick color check can save you from bad moves and boost your profits when the trend is strong.
Why It Helps
These colors are your fast friend in trading. A bright histogram means all your timeframes are cheering for an uptrend, giving you the confidence to act. A dull one tells you to be careful, helping you avoid traps. It’s like having a color-coded guide to pick the hottest market moments!
Technical Details
Input Parameters
Fast Length (default: 12): Short-term moving average speed.
Slow Length (default: 26): Long-term moving average speed.
Source (default: close): Price data used.
Signal Smoothing (default: 9): Smooths the signal line.
MA Type (default: EMA): Choose EMA or SMA.
Timeframe and Scaling
Timeframes: 15m, 1h, 1d, 1w, with on/off switches.
Lookback Period (default: 50): Sets the data window for trends.
Background Transparency (default: 75%): Controls background see-through level.
MACD Calculation
Per Timeframe: Uses request.security():
MACD Line: ta.ema(src, fast_length) - ta.ema(src, slow_length).
Signal Line: ta.ema(MACD, signal_length).
Histogram: (macd - signal) / 3.0.
Background Gradient
15m Normalization: norm_value = (hist_15m - hist_15m_min) / max(hist_15m_range, 1e-10), limited to 0-1.
RGB Mix: Red drops from 255 to 0, green rises from 0 to 255, blue stays 0.
Apply: color.new(color.rgb(r_val, g_val, b_val), Background_transparency).
Histogram and EMA Colors
Color Assignment:
1h: Blue (#0000FF) if hist_1h >= 0, else black.
1d: Green (#00FF00) if hist_1d >= 0, else black.
1w: Red (#FF0000) if hist_1w >= 0, else black.
Final Color: final_color = color.rgb(min(r, 255), min(g, 255), min(b, 255)).
Plotting: Histogram and EMA use final_color; MACD (#2962FF), signal (#FF6D00).
Alerts
Bullish Percentage: bullish_pct = (bullish_count / bullish_total) * 100, counting hist >= 0.
Triggers: Below threshold_low or above threshold_high.
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Conclusion
The "Multi-Timeframe MACD with Color Mix (Nikko)" is your all-in-one tool to spot trends, confirm moves, and trade smarter with its bright, easy-to-read colors. By using it wisely, you can sharpen your market edge and trade with more confidence.
This README is tailored for traders and reflects the indicator's practical value as of 05:06 AM +07 on October 04, 2025.
JLine RZ+|SuperFundedJLINE with Resistance Zone+ — Quick Guide
What it is
This indicator generalizes the classic “JLINE” concept by letting you choose the MA type (SMA / EMA / WMA) and by converting mixed-order phases—when the fast/mid/slow MAs temporarily overlap—into forward-projected horizontal zones. It also shows a status label (current timeframe) and an optional higher-timeframe (HTF) status so you can align entries with broader trend context.
Why this is not a simple mashup
・Structure first: Instead of merely plotting MAs, the script detects mixed-order windows and tracks the max/min envelope formed by the 3 MAs during the overlap, then freezes and extends that range to the right as tradable zones (dynamic S/R derived from regime transitions).
・Context layering: You get a clear “Bullish/Bearish Perfect Order vs Mixed Zone” state, a color-coded MA band, and forward zones that persist beyond the regime change. This provides a workflow (identify structure → watch reactions at projected zones → confirm with status).
・Top-down alignment: The HTF status overlay makes it easy to avoid counter-trend trades or, if you prefer, time mean-reversion only when the current timeframe’s mixed zones line up with HTF conditions.
How it works (concise)
1. Compute fast/mid/slow MAs using your selected type (SMA/EMA/WMA).
2. Define states: Bullish Perfect Order (fast > mid > slow), Bearish Perfect Order (fast < mid < slow), or Mixed Zone (neither).
3. While Mixed, maintain an envelope using the highest/lowest of the three MAs. When the regime exits Mixed, save that envelope as a horizontal box and extend it into the future (older boxes auto-delete to keep the chart clean).
4. Paint an MA band between fast & slow with state-aware shading.
5. Show a corner label with the current state; optionally add the HTF state via request.security.
Parameters (UI mapping)
1. Moving Average Settings
・MA Type: SMA / EMA / WMA.
・Fast/Middle/Slow Period: Default 20/100/200, editable.
・Paint MA Band: Toggle the band fill between fast and slow MA.
2. Resistance Zone Settings
・Show Resistance Zone: Draw horizontal zones from mixed-order windows and extend to the right.
・Max Number of Zones: Cap the count; oldest zones are removed automatically.
・Zone Color: Set zone color/opacity.
3. Status Display Settings
・Show Status Label: On-chart label showing the current state.
・Label Position: Top/Bottom × Left/Right.
4. Multi-Timeframe Settings
・Show Higher Timeframe Status: Display the HTF state in the label.
・Higher Timeframe: Select the HTF (empty = disabled).
Practical usage
・Plan around zones: Treat zones as potential support/resistance derived from regime transitions. Observe how price reacts when it revisits/enters a zone.
・Align with trend: Prefer entries with the PO state (e.g., longs in Bullish PO) and use HTF status to filter. Mean-reversion is still possible, but require clear reaction (wick rejections, engulfings) at a zone.
・Manage clutter: If charts get busy, increase timeframe or lower “Max Number of Zones.”
・Risk first: SL beyond the opposite side of the zone; TPs can target adjacent zones or fixed R-multiples.
Notes & limitations
・Zones reflect MA-structure (mixed) envelopes, not price consolidations per se; they are structural guides, not guarantees.
・HTF readouts rely on request.security and your chosen timeframe; data quality and timing follow TradingView constraints.
Disclaimer
This tool suggests potential reaction areas; it cannot ensure outcomes. Volatility, news and liquidity conditions may invalidate any setup. Use appropriate position sizing and only risk capital you can afford to lose.
SuperFunded invite-only
To obtain access, please contact me via TradingView DM or the link in my profile.
JLINE with Resistance Zone (Advanced) — クイックガイド（日本語）
概要
本インジは、任意のMAタイプ（SMA / EMA / WMA）で高速・中速・低速の3本を描画し、順序が混在する期間（Mixed）で形成された3MAの最大値/最小値の包絡を水平ゾーンとして将来に延長して表示します。さらに、現在の状態ラベルと、任意で上位時間足（HTF）の状態も重ねて表示できます。
新規性（単なる寄せ集めではない点）
・構造を先に特定：MAを出すだけでなく、混在期間を検出→その間の3MA包絡を凍結して水平帯に変換→右に延長。レジーム転換由来のS/Rを作ります。
・文脈レイヤー：Bullish/BearishのパーフェクトオーダーとMixedを明示、MAバンドと将来に残るゾーンで、構造→反応→確認の手順が取りやすい構成。
・トップダウン整合：HTF状態をラベルに併記して、逆行を避けたり、逆張りでも根拠を強めたりできます。
使い方のヒント
ゾーン中心で計画：ゾーンはレジーム転換に基づく潜在的S/R。再訪時のローソク足の反応（ピンバー、包み足など）を確認してからエントリー。
トレンド整合：可能ならPO方向に合わせる。逆張りは明確な反応が条件。
視認性：時間軸を上げるか Max Number of Zones を下げて整理。
リスク管理：損切りは帯の反対側、利確は隣接ゾーンやR倍数で。
免責
ゾーンは反発を保証しません。ニュース・流動性の急変で機能しない場合があります。資金管理の徹底と自己責任でのご利用をお願いします。
SuperFunded招待専用スクリプト
このスクリプトはSuperFundedの参加者専用です。
Multi-MA Trend Indicator with ATR by nkChartsThe MMA-ATR is a powerful all-in-one tool that combines multi-timeframe Moving Averages with ATR-based Stop Loss & Take Profit levels. It is designed to help traders quickly assess trend direction, volatility, and potential trade levels in one clean visual setup.
Key Features
Multi-MA Trend Detection
Plots 5 customizable moving averages (choose from EMA, SMA, RMA, WMA, VWMA).
Automatic color coding: Bullish (green), Bearish (red), Neutral (gray).
MA Trend Table with:
MA values
Current chart trend
Higher timeframe (Daily) trend confirmation
ATR-Based Trade Levels
Dynamic Stop Loss (SL) and Take Profit (TP) levels based on ATR multipliers.
Separate visual lines for long and short setups.
ATR Table with:
ATR value for the current chart timeframe
ATR value for the Daily timeframe
Customizations
Choose MA type, length, and price source.
Customize bullish, bearish, and neutral colors.
Adjustable table position and text size.
Fully configurable ATR length, multipliers, and colors.
How to Use
Add the indicator to your chart.
Use the MA Trend Table to identify short-term and higher timeframe trend direction.
Refer to ATR-based SL/TP levels to manage risk and potential profit targets.
Combine both to filter entries and improve trade timing.
Best For
Swing traders and intraday traders who rely on trend confirmation and volatility-based risk management.
Traders looking for a multi-timeframe confirmation system that reduces noise.
⚠️ Disclaimer: This indicator is for educational purposes only. It does not provide financial advice or guarantee profits. Always perform your own analysis before making trading decisions.
AstraAlgo BacktesterOVERVIEW
The AstraAlgo Backtester allows traders to simulate and evaluate trading strategies directly on TradingView. By simulating trades across different timeframes and markets, it provides valuable insights into win rates, drawdowns, and overall strategy effectiveness.
SIGNAL MODES
Signal Modes generate proprietary trade signals based on live price data. Users can choose between Off, Basic, Advanced, or Custom modes to evaluate strategies under different conditions and refine their trading approach.
ADJUSTABLE BACKTESTING
Parameters for historical simulations can be customized to test different market conditions and trading scenarios. This allows traders to measure strategy performance, including win rate, profit/loss, and risk/reward ratios, helping refine and optimize strategies before live execution.
BAR COLORING
Bar Coloring highlights bullish and bearish bars on historical charts, allowing traders to visually assess trend direction and trade outcomes during backtesting. This makes it easier to analyze momentum and strategy effectiveness at a glance.
ASTRA CLOUD
Astra Cloud overlays dynamic support and resistance levels on live price data. These zones adapt automatically to past market movements, helping traders identify areas where trades would have reacted, aiding strategy evaluation and optimization.
MTF-RISK [Module+]Description
MTF-RISK is a futures risk management tool that calculates standardized position sizing across multiple CME micro contracts, anchored to higher-timeframe structure. By combining multi-timeframe reference levels with a contract-based dollar-per-point model, it allows traders to maintain consistent risk across different futures markets.
Example:
User has selected the 1H timeframe for the risk table. Once an hourly candle closes, the high and low of that completed hour are locked as reference boundaries.
Lower timeframe candles (e.g., 1m, 5m, 15m) reference these established 1H boundaries to calculate:
Distance in points from the current close to the HTF high or low.
Corresponding dollar risk based on the user-defined Max Risk per Trade ($) setting.
The risk table updates in real-time, showing the current stop distance, calculated contract size, and resulting risk in dollars for both upward and downward directions.
Benefit: Traders always maintain a fixed dollar risk, regardless of intraday price movement, while using HTF structure as the anchor for accurate and consistent position sizing.
1. Higher Timeframe Anchor
Always uses the last fully closed candle from the selected higher timeframe (default: 60m).
Captures the prior HTF high and low as reference boundaries.
Lower timeframe closers (e.g., 1m, 5m, 15m bars) reference these established HTF boundaries to measure stop distances and calculate risk.
Use: Ensures all position sizing is tied to completed HTF structure, providing a consistent framework for intraday trades.
2. Risk Model Engine
Traders define maximum dollar risk per trade.
The system calculates allowable micro contracts based on stop distance (current close → HTF high/low).
Supported contracts and their point values:
MNQ (Micro Nasdaq 100): $2.00 per point
MES (Micro S&P 500): $5.00 per point
MYM (Micro Dow Jones): $0.50 per point
MGC (Micro Gold): $10.00 per point
Formula:
Contracts = Max Risk ÷ (Stop Distance × TSE:VALUE per Point)
Risk ↑: Based on distance to HTF high.
Risk ↓: Based on distance to HTF low.
Use: Provides consistent dollar risk sizing across different futures contracts and multiple intraday timeframes.
3. Risk Table Overlay
Compact, real-time on-chart table with customizable styling.
Columns:
OP: Operation time (adjusted by user’s timezone offset).
Points ↑ / ↓: Stop distances in points relative to HTF boundaries.
Risk ↑ / ↓ ($): Dollar exposure at those stops.
Micros ↑ / ↓: Allowable contract count.
Asset: Displays selected futures contract in the header.
Custom features:
Independent text/background colors per column.
Highlighted latest row for clarity.
Adjustable outline, row colors, and text size.
Use: Gives traders immediate insight into position sizing without leaving the chart.
Intended Use:
This is a risk visualization module, not a trade signal generator. Traders can use it to:
Standardize risk sizing across multiple CME micro futures.
Quickly evaluate trade setups relative to HTF structure.
Measure stop distances from lower timeframe closes while referencing HTF boundaries.
Maintain consistency in risk management regardless of the instrument traded.
Limitations & Disclaimers:
Calculations assume standard CME tick values for MNQ, MES, MYM, and MGC.
Other markets may not align with these dollar-per-point values.
This indicator does not predict direction, generate entries, or guarantee outcomes.
For educational and informational purposes only.
Trading involves risk; always use proper risk management.
Closed-source (Protected): Logic is visible on charts, but source code is hidden.
Trend Compass (Manual)## Trend Compass (Manual) - A Discretionary Trader's Dashboard
### Summary
Trend Compass is a simple yet powerful dashboard designed for discretionary traders who want a constant, visual reminder of their market analysis directly on their chart. Instead of relying on automated indicators, this tool gives you **full manual control** to define the market state across different timeframes or conditions.
It helps you stay aligned with your higher-level analysis (e.g., HTF bias, current market structure) and avoid making impulsive decisions that go against your plan.
### Key Features
- **Fully Manual Control:** You decide the trend. No lagging indicators, no confusing signals. Just your own analysis, displayed clearly.
- **Multiple Market States:** Define each row as an `Uptrend`, `Downtrend`, `Pullback`, or `Neutral` market.
- **Customizable Rows:** Display up to 8 rows. You can label each one however you like (e.g., "D1", "H4", "Market Structure", "Liquidity Bias").
- **Flexible Panel:** Change all colors, text sizes, and place the panel in any of the 9 positions on your chart.
- **Clean & Minimalist:** Designed to provide essential information at a glance without cluttering your chart.
### How to Use
1. **Add to Chart:** Add the indicator to your chart.
2. **Open Settings:** Go into the indicator settings.
3. **Configure Rows:**
- In the "Rows (Manual Control)" section, set the "Number of rows" you want to display.
- For each row, give it a custom **Label** (e.g., "m15").
- Select its current state from the dropdown menu (`Uptrend`, `Downtrend`, etc.).
- To remove a row, simply set its state to `Hidden`.
4. **Customize Style:**
- In the "Panel & Visual Style" section, adjust colors, text sizes, and the panel's position to match your chart's theme.
This tool is perfect for price action traders, ICT/SMC traders, or anyone who values a clean chart and a disciplined approach to their analysis.
Malaysian SnR + Storyline This indicator combines the Malaysian Support & Resistance (SnR) method with a Multi-Timeframe Storyline view.
🔹 Malaysian SnR (A/V levels)
Plots Support & Resistance using candlestick bodies only (close → open).
“A” shape = Resistance (bullish close → bearish open).
“V” shape = Support (bearish close → bullish open).
Supports Fresh/Unfresh logic with wick-touch validation.
🔹 Storyline (W/D/H4/H1 bias lines)
Weekly = Big map / macro bias.
Daily = Medium trend / retracement.
H4 = Intraday bias confirmation.
H1 = Execution bias (entry filter).
Lines extend forward and only update when a new pivot confirms.
🔹 Extra Features
Alignment Rule: option to hide A/V levels when TF biases don’t align (e.g. W=D=H4=H1).
Story Labels: optional text labels describing each TF storyline.
History filter: show storyline for the last X days only, for cleaner charts.
This script is designed for price action traders who want to combine body-based SnR levels with a clear multi-timeframe bias storyline, making it easier to align intraday execution with higher timeframe context.
EMA 200 MultiTF G/R + Cross Alerts by LifeHack Trader1. Indicator Setup
The script starts by defining the version of Pine Script (v5) and creating an indicator called "EMA 200 MultiTF G/R + Cross Alerts by LifeHack Trader."
The overlay=true parameter ensures that the indicator is plotted directly on the price chart.
2. Function to Get EMA200
A custom function getEma200 is defined to retrieve the 200-period Exponential Moving Average (EMA) for a specified timeframe (tf).
This function uses the request.security function to fetch the close price's EMA from different timeframes.
3. Calculate EMA200 for Multiple Timeframes
The script calculates the EMA200 for four timeframes: 15 minutes ("15"), 1 hour ("60"), 4 hours ("240"), and 1 day ("D").
These values are stored in variables (ema15, ema1h, ema4h, ema1d) and represent the EMA for each timeframe.
4. Determine Price Above or Below EMA200 (G/R)
For each timeframe, the script checks whether the closing price is above or below the EMA200.
It uses boolean checks to determine if the price is above the EMA200, assigning the status "G" (Green) for above and "R" (Red) for below.
5. Cross Signal Detection (Up/Down)
The script detects crossovers and crossunders between the price and EMA200 for each timeframe.
A crossover signal is detected when the price crosses above the EMA200 (bullish), and a crossunder signal is detected when the price crosses below the EMA200 (bearish).
These signals are stored in separate variables (crossUp, crossDown).
6. Display a Table with G/R Status and Cross Alerts
A table is created and displayed in the top-right corner of the chart. The table shows the status (G or R) for each timeframe and the cross signal (▲ for crossover, ▼ for crossunder, or - for no cross event).
The table is updated with the respective values for each timeframe every time a new bar is formed.
7. Alert Conditions
The script defines alert conditions based on the crossovers and crossunders.
When a price crosses above the EMA200 (cross-up), an alert is triggered for a potential buy opportunity. When the price crosses below the EMA200 (cross-down), an alert is triggered for a potential sell opportunity.
Alerts are configured for each timeframe (15 minutes, 1 hour, 4 hours, and 1 day).
This script provides a comprehensive system for monitoring price action relative to the EMA200 on multiple timeframes, highlighting crossovers, and delivering visual feedback and alerts based on the price's relationship with the EMA.
Multi-Timeframe Dashboard INDIpendence AAZ is a powerful Multi-Timeframe Dashboard that provides real-time readings of:
✔ Market Structure
✔ Market Direction
✔ Entry Signals
This tool is designed for Derivatives (Soy, FCPO, etc.), Forex, Crypto, and Global Markets.
Perfect for new traders and those who do not have the time to study charts in detail.
⚠️ Disclaimer: This indicator is for educational and analytical purposes only. All trading decisions and risks remain with the user.
Trapper Magnifying Glass - Bar Decomposer — Last Visible BarHeadline
Decompose any higher-timeframe bar into lower-timeframe candles directly on the chart. Zoom/pan reactive, session-accurate, auto-fit inset, and compliant with TradingView placement limits.
Quick Start
Add the indicator and choose a Child TF (minutes) (e.g., 1, 5, 10, 15).
The inset follows the last visible bar on your screen. Adjust Right separation / Mini width / Gap / Vertical exaggeration as needed.
Leave Show HUD label OFF by default. Turn it on only if you want a compact readout.
Overview
This tool draws a miniature, on-chart inset of lower-timeframe candles that make up the currently viewed higher-timeframe bar. It stays on the main price chart (not in a separate pane), respects zoom/pan, compresses itself to fit available space, and adheres to TradingView’s 500-bar object placement limit.
The design goal is micro-structure inspection without changing the chart timeframe.
What Makes It Different
On-chart inset (not a separate indicator panel) for true visual context.
Zoom/Pan reactive to the last visible bar — works naturally as you navigate.
Auto-fit logic keeps the inset readable while staying inside TradingView’s future-bars limit.
Session-accurate decomposition: uses TradingView’s own lower-timeframe OHLC, exactly within the parent bar’s time window.
Strictly compliant: no synthetic bars, no repaint tricks, no lookahead.
How It Works
Child data is fetched with request.security_lower_tf(syminfo.tickerid, , open/high/low/close).
Only closed lower-TF bars inside the parent bar’s time window are returned by TradingView.
The script maps each child bar to an inset candle (body + wick) scaled to the parent bar’s price range and placed to the right of the parent’s position.
The inset tracks the last visible bar so it always stays relevant to what you’re inspecting.
Inputs (Defaults)
Timeframes
Child TF (minutes): 1 (min 1, max 1440)
Layout
Right separation (bars): 10
Mini candle width (bars): 2
Gap between mini candles (bars): 0
Vertical exaggeration ×: 1.6
Auto-Fit
Auto-fit inset width: ON
Max bars ahead to use: 120
Minimum mini width: 1
Minimum gap: 0
Style
Bull/Bear colors: ON
Body Bull / Body Bear / Wick Bull / Wick Bear: configurable
Body Fill Opacity (0–100): 12
Outline color: dark grey
Outline width: 1
Wick width: 2
HUD
Show HUD label: OFF (recommended default; enable only when you need a summary)
Session Behavior (Important)
TradingView constructs bars strictly by exchange sessions. For US equities (regular session 09:30–16:00, 390 minutes):
On a 1h chart you will see 7 bars per day:
09:30–10:00 (30 minutes)
10:00–11:00, 11:00–12:00, 12:00–13:00, 13:00–14:00, 14:00–15:00 (five full hours)
15:00–16:00 (full hour)
Decomposing the 09:30–10:00 bar into 1m returns 30 minis (not 60).
Decomposing 10:00–11:00 returns 60 minis, as expected.
The last hour (15:00–16:00) decomposes to 60 minis once they exist (i.e., immediately after each child bar closes). If you are mid-session, you will see only the minis that have closed so far.
This is by design and ensures the inset reflects the true lower-timeframe structure TradingView has for that exact bar window. Nothing is synthesized.
Live vs Confirmed Bars
Confirmed bars (historical) always decompose to a full, correct count of child minis for that parent window.
Live bars (currently forming) only return child minis that have already closed. Mid-hour on a 1h chart with 10m children, you might see 3, 4, or 5 minis depending on elapsed time.
This script’s default experience focuses on the last visible bar and displays whatever the platform provides at that moment. The HUD (when enabled) includes the parent bar duration in minutes to make short session bars explicit.
Auto-Fit and Placement Limits
TradingView prevents drawing objects beyond 500 bars into the future. The inset’s right edge is automatically clamped to stay within that boundary. If the requested number of minis would overflow the allowed space, the script proportionally compresses mini width/gap (down to your configured minimums). If necessary, it draws only as many minis as safely fit — favoring stability over clutter.
Styling Tips
For dense decompositions (e.g., 1m inside 1h), set:
Mini width = 1, Gap = 0, Auto-fit = ON, Right separation = 7–12.
Increase Vertical exaggeration to highlight wick-to-body differences when the parent bar is narrow.
Keep HUD OFF for publishing and screenshots unless you’re highlighting counts or session duration.
Notes & Limitations
Child arrays show closed bars only. No forming mini is displayed to avoid misleading totals.
If you reload a chart or switch symbols/timeframes, the most recent confirmed bar’s arrays may be empty on the very first calculation frame; the script guards against this and will draw on the next update.
The tool is an overlay visualization, not a signal generator; there are no alerts or trading advice.
Performance: heavy decompositions on very fast symbols/timeframes can add many objects. Auto-fit and minimal widths help.
Compliance
Uses only native TradingView data (request.security_lower_tf).
No repainting and no lookahead.
No external feeds, synthetic candles, or hidden calculations that would misrepresent the underlying data.
Fully respects TradingView’s object placement constraints.
Recommended Defaults (for broad usability)
Child TF: 5 or 15 (depending on your HTF).
Right separation: 7–12
Mini width / Gap: 2 / 0 for clarity, 1 / 0 for dense fits.
Auto-fit: ON
HUD: OFF
Troubleshooting
“Why aren’t there 60 one-minute minis in this 1h bar?”
Either the parent bar is a session-short bar (09:30–10:00 = 30 minutes) or you are viewing a live bar mid-hour; only closed minis appear.
Inset clipped or not visible to the right:
Increase Max bars ahead to use (Auto-Fit group), reduce Mini width/Gap, or reduce Right separation.
Nothing draws on first load:
Wait for the next bar update, or navigate the chart so the last visible bar changes; arrays refresh as data becomes available.
Change Log
v1.0 – Initial public release.
On-chart inset, zoom/pan reactive, auto-fit width.
Session-accurate lower-TF decomposition.
HUD label toggle (off by default) with child TF, bar count, and parent duration.
Hardened array handling for confirmed snapshots.
Disclaimer
This script is provided strictly for educational and informational purposes only.
It does not constitute financial advice, investment advice, trading signals, or a recommendation to buy or sell any security, asset, or instrument. Trading and investing involve risk; always do your own research and consult with a licensed financial professional before making decisions.
Zone Cluster Confluence ProWhat it does
Zone Cluster Confluence Pro automatically finds price “zones” via equal-frequency clustering of HLC3 values and wraps each cluster center with an ATR-based band. Zones are color-coded by a 0–100 Strength % and can optionally highlight confluence with a higher timeframe (HTF) right on your chart.
Key features
• Adaptive Depth by Volatility (ATR regime): zone width scales down in calm markets and widens in volatile regimes.
• Strength % scoring with color mapping (Strong / Work / Mid / Weak). The score blends:
• number of touches (with tolerance),
• dwell time inside the zone (penalized),
• confirmed breakouts (penalized),
• average overshoot beyond the band (penalized),
• recency bonus,
• optional volume-boosted touches (volume > SMA × multiplier).
• HTF Confluence Overlay: computes zones on a higher TF (multiplier of the source TF or a specific TF) and highlights the intersection of LTF zones with the nearest HTF zone (white fill).
• Presets per TF: Aggressive / Stable / Anti-pierce profiles with hand-tuned params for 15/30/60/120/240m; or run fully Manual.
• Clean visuals: centers, borders, filled bands; strength labels with auto-contrast text.
How it works (high level)
• Clustering method: choose K-median or K-means (median/mean of equal-frequency buckets) to place zone centers.
• Zone width = ATR × Depth; Depth becomes Adaptive when the ATR regime deviates from its long SMA.
• Strength % is computed over a lookback window using the components listed above; touches can earn an extra bonus on elevated volume.
Inputs (most useful)
• Source TF: inherit from chart or pick a specific TF.
• Zones (k): 2–5 clusters.
• Presets: Aggressive / Stable / Anti-pierce, or Manual control of Candles Back, ATR length, Depth.
• Adaptive Depth: on/off, regime thresholds & multipliers.
• Strength %: profile (Conservative/Neutral/Optimistic), lookback, breakout/overshoot/touch tolerance.
• Volume boost: SMA length, spike multiplier, weight.
• HTF Confluence: on/off, TF multiplier, HTF preset/method/params, and whether HTF k mirrors LTF k.
Reading the chart
• Zone fills are colored by Strength %:
• 80–100 Strong, 60–80 Work, 40–60 Mid, <40 Weak.
• White fills mark LTF×HTF intersections (confluence areas).
• Strength labels (Z1…Z5) show the current score; label background matches the strength color.
Tips
• Use Stable for most markets, Aggressive for fast intraday, Anti-pierce to reduce whipsaw.
• Turn on HTF confluence to filter LTF zones down to areas aligned with the larger trend structure.
• If you scalp, keep volume boost on; for thin markets consider lowering the spike multiplier.
Notes
• No lookahead is used for HTF data (request.security with lookahead_off).
• Zones update as new bars arrive and as the lookback window rolls; this is not a fixed S/R drawing tool.
• Works on any symbol/timeframe; parameter tuning is encouraged.
Access
This script is Invite-Only.
Disclaimer
For educational purposes only. Not financial advice. Trading involves risk.
Multiple Asset note_table Sections### Features
- **Expanded to 10 independent Sections**: Each Section has a title, content, and associated asset
- **Asset-based filtering**: Section only displays when the Section's asset name is empty or matches the current chart asset
- **Empty asset setting retained**: If Section asset name is left blank, that Section will display across all assets
- **Automatic display of current asset**: Current asset name is automatically shown in the header and footer
### Usage Instructions
1. Each Section can be assigned a specific asset name, such as "BTCUSDT", "ETHUSDT", etc.
2. A Section will only display when the current chart asset matches the asset specified for that Section
3. If you want a Section to display across all assets, simply leave the asset name blank for that Section
4. Each Section has independent title and content that can be customized as needed
5. When switching to different trading instruments, the indicator automatically displays notes relevant to the current instrument
Multi-Timeframe Options Strategy with Dynamic Scoring System## Multi-Timeframe Options Strategy with Dynamic Scoring System
### Overview
This indicator combines 12 technical analysis tools using a proprietary 30-point scoring system to generate options trading signals (CALL/PUT). It's designed for traders seeking confluence-based entries with multiple confirmation layers.
### How the Scoring System Works
The indicator evaluates market conditions across three categories:
**Trend Analysis (9 points maximum):**
- EMA Alignment (9, 21, 50, 200): Checks if moving averages are properly stacked (3 points)
- ADX Trend Strength: Confirms trend momentum above 25 threshold (3 points)
- Higher Timeframe Confirmation: Validates signals against larger timeframe trend (3 points)
**Momentum Indicators (7 points maximum):**
- RSI Position & Direction: Optimal zones 40-65 for buys, 35-60 for sells (2 points)
- MACD Signal Line Cross: Momentum confirmation (2 points)
- Stochastic Oscillator: Overbought/oversold conditions (2 points)
- Bollinger Band Position: Price relative to middle band (1 point)
**Market Quality Filters (4 points maximum):**
- Volume Confirmation: 1.5x average volume requirement (2 points)
- VWAP Position: Trend alignment check (1 point)
- ATR Volatility: Ensures adequate price movement (1 point)
### Key Features
**1. Fair Value Gaps (FVG)**
- Identifies price inefficiencies between candles
- Bullish FVG: Current low > high (potential support)
- Bearish FVG: Current high < low (potential resistance)
- Visual representation with colored boxes on chart
**2. Three Operating Modes**
- Normal Mode: Minimum 10 points - balanced signal frequency
- High Mode: Minimum 15 points - fewer but stronger signals
- Ultra Mode: Minimum 20 points - only highest quality setups
**3. Protection Mechanisms**
- Bollinger Band squeeze detection avoids ranging markets
- Prevents conflicting signals (no simultaneous CALL/PUT)
- 5-bar minimum cooldown between signals
- Filters extreme RSI readings (>75 or <25)
**4. Risk Management**
- Three profit targets: 0.5%, 1%, 1.5%
- Stop loss: 0.5% or ATR-based
- Visual target lines with entry/exit levels
### How Components Work Together
The indicator creates a comprehensive market analysis by combining:
- **EMAs** provide the trend structure framework
- **Oscillators** (RSI, Stochastic) identify optimal entry timing
- **ADX** confirms trend strength to filter weak signals
- **Volume** validates institutional participation
- **Higher timeframe** acts as a directional filter
Each component contributes points to either bullish or bearish scoring. Signals only generate when one direction significantly outweighs the other and meets minimum thresholds.
### Usage Instructions
1. **Select Mode**: Choose Normal/High/Ultra based on your trading style
2. **Monitor Dashboard**: Check real-time scoring and market conditions
3. **Wait for Signals**: Main BUY/SELL labels appear when criteria met
4. **Follow Targets**: Use automated TP and SL levels for risk management
5. **Candle Labels**: Optional CALL/PUT labels show building momentum
### Dashboard Information
The dashboard displays:
- Current trend direction and HTF confirmation
- ADX strength and direction
- RSI status with divergence detection
- MACD momentum state
- Volume multiplier
- Market condition (trending/ranging)
- Live scoring for both directions
### Important Notes
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use proper risk management
- Test thoroughly on demo before live trading
### Originality
This indicator's unique value comes from:
1. The 30-point weighted scoring system that prioritizes different factors
2. Integration of Fair Value Gaps with traditional indicators
3. Multi-mode operation allowing traders to adjust signal frequency
4. Higher timeframe validation system
5. Comprehensive filtering to reduce false signals
The combination creates a systematic approach to options trading that goes beyond simple indicator mashups by providing clear, scored reasoning for each signal.
---
### Updates and Support
For questions or suggestions, please comment below. The indicator will be updated based on community feedback while maintaining compliance with all platform rules.
Multi HTF High/Low LevelsThis indicator plots the previous high and low from up to four user-defined higher timeframes (HTF), providing crucial levels of support and resistance. It's designed to be both powerful and clean, giving you a clear view of the market structure from multiple perspectives without cluttering your chart.
Key Features:
Four Customizable Timeframes: Configure up to four distinct higher timeframes (e.g., 1-hour, 4-hour, Daily, Weekly) to see the levels that matter most to your trading style.
Automatic Visibility: The indicator is smart. It automatically hides levels from any timeframe that is lower than your current chart's timeframe. For example, if you're viewing a Daily chart, the 4-hour levels won't be shown.
Clean On-Chart Lines: The high and low for each timeframe are displayed as clean, extended horizontal lines, but only for the duration of the current higher-timeframe period. This keeps your historical chart clean while still showing the most relevant current levels.
Persistent Price Scale Labels: For easy reference, the price of each high and low is always visible on the price scale and in the data window. This is achieved with an invisible plot, giving you the accessibility of a plot without the visual noise.
How to Use:
Go into the indicator settings.
Under each "Timeframe" group, check the "Show" box to enable that specific timeframe.
Select your desired timeframe from the dropdown menu.
The indicator will automatically calculate and display the previous high and low for each enabled timeframe.
Frozen 4H VWAP – Precision AnchoredFrozen 4H VWAP – Precision Anchored Like Ice
The Frozen 4H VWAP – Precision Anchored delivers a clean, stable, and reliable view of the 4-hour Volume Weighted Average Price, designed for traders who want higher timeframe insights without intrabar noise or repainting.
🔹 Key Features:
Non-Repainting: VWAP value is “frozen” at the close of each 4H candle — no mid-bar updates or flickering.
4H Timeframe Anchoring: Seamlessly pulls 4-hour VWAP values into any timeframe you’re trading on.
Clear Trend Reference: Updates only when a new 4H candle begins, acting as a trustworthy anchor for support/resistance.
Custom Source Option: Choose from different price sources (default: HLC3) to fit your strategy.
Whether you're scalping, day trading, or swing trading, this indicator gives you a powerful edge by grounding your decisions in higher timeframe VWAP data — clear, calm, and frozen in time.
Vantage-XVANTAGE-X – The Market. Decoded.
Your vantage point between bull & bear — clarity, precision, and high-probability trading signals.
VANTAGE-X is a high-probability trading system designed to cut through the noise and deliver clarity at a glance.
🔹 What It Does
• EMA 20 (1H), EMA 50 (4H), EMA 200 (chart timeframe) → Instant bullish/bearish signals
• VWAP → Bullish/Bearish/Neutral, based on last 5 candles for precision
• Daily Bias → Bullish or Bearish without switching charts
• Chop Filter → Detects if market is trending or choppy (last 10 candles)
• Works across all assets on TradingView — futures, forex, stocks, crypto, options
🔹 Why Traders Use It
• Eliminates chart clutter and analysis paralysis
• No more flipping timeframes — dashboard updates automatically
• Clear signals = faster decisions, cleaner trades
🚨 Subscription Access Only – Invite-Only Script
This indicator is available exclusively to subscribed members of VANTAGE-X. Access is tied to your TradingView username and managed manually by our team.
👉 Website coming soon
Multi-Timeframe Bollinger BandsMy hope is to optimize the settings for this indicator and reintroduce it as a "strategy" with suggested position entry and exit points shown in the price pane.
I’ve been having good results setting the “Bollinger Band MA Length” in the Input tab to between 5 and 10. You can use the standard 20 period, but your results will not be as granular.
This indicator has proven very good at finding local tops and bottoms by combining data from multiple timeframes. Use timeframes that are lower than the timeframe you are viewing in your price pane. Be cognizant that the indicator, like other oscillators, does occasionally produce divergences at tops and bottoms.
Any feedback is appreciated.
Overview
This indicator is an oscillator that measures the normalized position of the price relative to Bollinger Bands across multiple timeframes. It takes the price's position within the Bollinger Bands (calculated on different timeframes) and averages those positions to create a single value that oscillates between 0 and 1. This value is then plotted as the oscillator, with reference lines and colored regions to help interpret the price's relative strength or weakness.
How It Works
Bollinger Band Calculation:
The indicator uses a custom function f_getBBPosition() to calculate the position of the price within Bollinger Bands for a given timeframe.
Price Position Normalization:
For each timeframe, the function normalizes the price's position between the upper and lower Bollinger Bands.
It calculates three positions based on the high, low, and close prices of the requested timeframe:
pos_high = (High - Lower Band) / (Upper Band - Lower Band)
pos_low = (Low - Lower Band) / (Upper Band - Lower Band)
pos_close = (Close - Lower Band) / (Upper Band - Lower Band)
If the upper band is not greater than the lower band or if the data is invalid (e.g., na), it defaults to 0.5 (the midline).
The average of these three positions (avg_pos) represents the normalized position for that timeframe, ranging from 0 (at the lower band) to 1 (at the upper band).
Multi-Timeframe Averaging:
The indicator fetches Bollinger Band data from four customizable timeframes (default: 30min, 60min, 240min, daily) using request.security() with lookahead=barmerge.lookahead_on to get the latest available data.
It calculates the normalized position (pos1, pos2, pos3, pos4) for each timeframe using f_getBBPosition().
These four positions are then averaged to produce the final avg_position:avg_position = (pos1 + pos2 + pos3 + pos4) / 4
This average is the oscillator value, which is plotted and typically oscillates between 0 and 1.
Moving Averages:
Two optional moving averages (MA1 and MA2) of the avg_position can be enabled, calculated using simple moving averages (ta.sma) with customizable lengths (default: 5 and 10).
These can be potentially used for MA crossover strategies.
What Is Being Averaged?
The oscillator (avg_position) is the average of the normalized price positions within the Bollinger Bands across the four selected timeframes. Specifically:It averages the avg_pos values (pos1, pos2, pos3, pos4) calculated for each timeframe.
Each avg_pos is itself an average of the normalized positions of the high, low, and close prices relative to the Bollinger Bands for that timeframe.
This multi-timeframe averaging smooths out short-term fluctuations and provides a broader perspective on the price's position within the volatility bands.
Interpretation
0.0 The price is at or below the lower Bollinger Band across all timeframes (indicating potential oversold conditions).
0.15: A customizable level (green band) which can be used for exiting short positions or entering long positions.
0.5: The midline, where the price is at the average of the Bollinger Bands (neutral zone).
0.85: A customizable level (orange band) which can be used for exiting long positions or entering short positions.
1.0: The price is at or above the upper Bollinger Band across all timeframes (indicating potential overbought conditions).
The colored regions and moving averages (if enabled) help identify trends or crossovers for trading signals.
Example
If the 30min timeframe shows the close at the upper band (position = 1.0), the 60min at the midline (position = 0.5), the 240min at the lower band (position = 0.0), and the daily at the upper band (position = 1.0), the avg_position would be:(1.0 + 0.5 + 0.0 + 1.0) / 4 = 0.625
This value (0.625) would plot in the orange region (between 0.85 and 0.5), suggesting the price is relatively strong but not at an extreme.
Notes
The use of lookahead=barmerge.lookahead_on ensures the indicator uses the latest available data, making it more real-time, though its effectiveness depends on the chart timeframe and TradingView's data feed.
The indicator’s sensitivity can be adjusted by changing bb_length ("Bollinger Band MA Length" in the Input tab), bb_mult ("Bollinger Band Standard Deviation," also in the Input tab), or the selected timeframes.
Multi-Timeframe Bollinger Band PositionBeta version.
My hope is to optimize the settings for this indicator and reintroduce it as a "strategy" with suggested position entry and exit points shown in the price pane.
Any feedback is appreciated.
Overview
This indicator is an oscillator that measures the normalized position of the price relative to Bollinger Bands across multiple timeframes. It takes the price's position within the Bollinger Bands (calculated on different timeframes) and averages those positions to create a single value that oscillates between 0 and 1. This value is then plotted as the oscillator, with reference lines and colored regions to help interpret the price's relative strength or weakness.
How It Works
Bollinger Band Calculation:
The indicator uses a custom function f_getBBPosition() to calculate the position of the price within Bollinger Bands for a given timeframe.
Price Position Normalization:
For each timeframe, the function normalizes the price's position between the upper and lower Bollinger Bands.
It calculates three positions based on the high, low, and close prices of the requested timeframe:
pos_high = (High - Lower Band) / (Upper Band - Lower Band)
pos_low = (Low - Lower Band) / (Upper Band - Lower Band)
pos_close = (Close - Lower Band) / (Upper Band - Lower Band)
If the upper band is not greater than the lower band or if the data is invalid (e.g., na), it defaults to 0.5 (the midline).
The average of these three positions (avg_pos) represents the normalized position for that timeframe, ranging from 0 (at the lower band) to 1 (at the upper band).
Multi-Timeframe Averaging:
The indicator fetches Bollinger Band data from four customizable timeframes (default: 30min, 60min, 240min, daily) using request.security() with lookahead=barmerge.lookahead_on to get the latest available data.
It calculates the normalized position (pos1, pos2, pos3, pos4) for each timeframe using f_getBBPosition().
These four positions are then averaged to produce the final avg_position:avg_position = (pos1 + pos2 + pos3 + pos4) / 4
This average is the oscillator value, which is plotted and typically oscillates between 0 and 1.
Moving Averages:
Two optional moving averages (MA1 and MA2) of the avg_position can be enabled, calculated using simple moving averages (ta.sma) with customizable lengths (default: 5 and 10).
These can be potentially used for MA crossover strategies.
What Is Being Averaged?
The oscillator (avg_position) is the average of the normalized price positions within the Bollinger Bands across the four selected timeframes. Specifically:It averages the avg_pos values (pos1, pos2, pos3, pos4) calculated for each timeframe.
Each avg_pos is itself an average of the normalized positions of the high, low, and close prices relative to the Bollinger Bands for that timeframe.
This multi-timeframe averaging smooths out short-term fluctuations and provides a broader perspective on the price's position within the volatility bands.
Interpretation:
0.0 The price is at or below the lower Bollinger Band across all timeframes (indicating potential oversold conditions).
0.15: A customizable level (green band) which can be used for exiting short positions or entering long positions.
0.5: The midline, where the price is at the average of the Bollinger Bands (neutral zone).
0.85: A customizable level (orange band) which can be used for exiting long positions or entering short positions.
1.0: The price is at or above the upper Bollinger Band across all timeframes (indicating potential overbought conditions).
The colored regions and moving averages (if enabled) help identify trends or crossovers for trading signals.
Example:
If the 30min timeframe shows the close at the upper band (position = 1.0), the 60min at the midline (position = 0.5), the 240min at the lower band (position = 0.0), and the daily at the upper band (position = 1.0), the avg_position would be:(1.0 + 0.5 + 0.0 + 1.0) / 4 = 0.625
This value (0.625) would plot in the orange region (between 0.85 and 0.5), suggesting the price is relatively strong but not at an extreme.
Notes:
The use of lookahead=barmerge.lookahead_on ensures the indicator uses the latest available data, making it more real-time, though its effectiveness depends on the chart timeframe and TradingView's data feed.
The indicator’s sensitivity can be adjusted by changing bb_length ("Bollinger Band MA Length" in the Input tab), bb_mult ("Bollinger Band Standard Deviation," also in the Input tab), or the selected timeframes.
VWAP Multi-TimeframeThis is a multi-timeframe VWAP indicator that provides volume weighted average price calculations for the following time periods:
15min
30min
1H
2H
4H
6H
8H
12H
1D
1W
1M
3M
6M
1Y
You can use the lower timeframes for short term trend control areas and use the longer timeframes for long term trend control areas. Trade in the direction of the trend and watch for price reactions that you can trade when price gets close to or touches any of these levels.
This indicator will provide a data plot value of 1 for bullish when price is above all VWAPs that are turned on, -1 for bearish when price is below all VWAPs that are turned on and 0 for neutral when price is not above or below all VWAPs. Use this 1, -1, 0 value as a filter on your signal generating indicators so that you can prevent signals from coming in unless they are in the same direction as the VWAP trend.
Features
Trend direction value of 1, -1 or 0 to send to external indicators so you can filter your signal generating indicators using the VWAP trend.
Trend table that shows you whether price is above or below all of the major VWAPs. This includes the daily, weekly, monthly and yearly VWAPs.
Trend coloring between each VWAP and the close price of each candle so you can easily identify the trend direction.
Customization
Set the source value to use for all of the VWAP calculations. The default is HLC3.
Turn on or off each VWAP.
Change the color of each VWAP line.
Change the thickness of each VWAP line.
Turn on or off labels for each VWAP or turn all labels on or off at once.
Change the offset length from the current bar to the label text.
Change the label text color.
Turn on or off trend coloring for each VWAP.
Change the color for up trends and down trends.
Turn on or off the trend direction display table.
Change the location of the trend direction display table.
Adjust the background and text colors on the trend direction display table.
How To Use The Trend Direction Filtering Feature
The indicator will provide a data plot value of 1 for bullish when price is above all of the VWAPs that are turned on, a value of -1 for bearish when price is below all of the VWAPS that are turned on and a value of 0 for neutral when price is above and below some of the VWAPs that are turned on.
The name of the value to use with your external indicators will show up as: VWAP Multi-Timeframe: Trend Direction To Send To External Indicators
Make sure to use that as your source on your external indicators to get the correct values.
This 1, -1 or 0 value can then be used by another external indicator to tell the indicator what is allowed to do. For instance if you have another indicator that provides buy and sell signals, you can use this trend direction value to prevent your other indicator from giving a sell signal when the VWAP trend is bullish or prevent your other indicator from giving a buy signal when the VWAP trend is bearish.
You will need to program your other indicators to use this trend filtering feature, but this indicator is already set up with this filtering code so you can use it with any other indicator that you choose to filter(if you know how to customize pine script).
Markets You Can Use This Indicator On
This indicator uses volume and price to calculate values, so it will work on any chart that provides volume and price data.
Complete HTF Candles by InzaghiThis indicator overlays Higher Time Frame (HTF) candles directly onto your lower-timeframe charts, providing a seamless multi-timeframe perspective.
Key Features:
1. HTF Candles with LTF Period Separators & Text Labels
2. CISD (Change in State of Delivery) – A toggleable feature that can be turned on/off in settings to instantly enhance price action interpretation.
3. Custom Watermark – Add your own title and subtitle, while also displaying the current date and symbol information directly on the chart.
ADX Phantom SniperADX Phantom Sniper is a precision trend-following tool that combines three powerful forces:
1. ADX & DI Crossover Trigger – Detects strong directional moves only when the trend strength exceeds a defined threshold.
2. Multi-Timeframe (MTF) Confirmation – Executes on the current chart timeframe (e.g., M15) only if the higher timeframe (H1) confirms the same trend direction.
3. Force Index Momentum Filter – Filters entries based on bullish/bearish momentum to avoid weak signals.
Signal Logic:
BUY: EMA14 > EMA100, price above EMA14, +DI crosses above -DI, ADX > threshold, Stochastic crosses above signal line in the bullish zone (>50), MTF trend aligned, Force Index > 0 (optional).
SELL: EMA14 < EMA100, price below EMA14, -DI crosses above +DI, ADX > threshold, Stochastic crosses below signal line in the bearish zone (<50), MTF trend aligned, Force Index < 0 (optional).
Features:
Noise filtering with trend structure + higher timeframe alignment
On-chart BUY/SELL labels for easy signal spotting
Optional Force Index filter toggle
Adjustable ADX threshold, EMA lengths, Stochastic settings, and higher timeframe choice
Suitable for scalping and swing entries depending on timeframe
Recommended Setup:
Primary chart: M15
Higher timeframe confirmation: H1
Combine with your preferred risk management rules.
Disclaimer:
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Mutanabby_AI | Fresh Algo V24Mutanabby_AI | Fresh Algo V24: Advanced Multi-Mode Trading System
Overview
The Mutanabby_AI Fresh Algo V24 represents a sophisticated evolution of multi-component trading systems that adapts to various market conditions through advanced operational configurations and enhanced analytical capabilities. This comprehensive indicator provides traders with multiple signal generation approaches, specialized assistant functions, and dynamic risk management tools designed for professional market analysis across diverse trading environments.
Primary Signal Generation Framework
The Fresh Algo V24 operates through two fundamental signal generation approaches that accommodate different market perspectives and trading philosophies. The Trending Signals Mode serves as the primary trend-following mechanism, combining Wave Trend Oscillator analysis with Supertrend directional signals and Squeeze Momentum breakout detection. This mode incorporates ADX filtering that requires values exceeding 20 to ensure sufficient trend strength exists before signal activation, making it particularly effective during sustained directional market movements where momentum persistence creates profitable trading opportunities.
The Contrarian Signals Mode provides an alternative approach targeting reversal opportunities through extreme market condition identification. This mode activates when the Wave Trend Oscillator reaches critical threshold levels, specifically when readings surpass 65 indicating potential bearish reversal conditions or drop below 35 suggesting bullish reversal opportunities. This methodology proves valuable during overextended market phases where mean reversion becomes statistically probable.
Advanced Filtering Mechanisms
The system incorporates multiple sophisticated filtering mechanisms designed to enhance signal quality and reduce false positive occurrences. The High Volume Filter requires volume expansion confirmation before signal activation, utilizing exponential moving average calculations to ensure institutional participation accompanies price movements. This filter substantially improves signal reliability by eliminating low-conviction breakouts that lack adequate volume support from professional market participants.
The Strong Filter provides additional trend confirmation through 200-period exponential moving average analysis. Long position signals require price action above this benchmark level, while short position signals necessitate price action below it. This ensures strategic alignment with longer-term trend direction and reduces the probability of trading against major market movements that could invalidate shorter-term signals.
Cloud Filter Configuration System
The Fresh Algo V24 offers four distinct cloud filter configurations, each optimized for specific trading timeframes and market approaches. The Smooth Cloud Filter utilizes the mathematical relationship between 150-period and 250-period exponential moving averages, providing stable trend identification suitable for position trading strategies. This configuration generates signals exclusively when price action aligns with cloud direction, creating a more deliberate but highly reliable signal generation process.
The Swing Cloud Filter employs modified Supertrend calculations with parameters specifically optimized for swing trading timeframes. This filter achieves optimal balance between responsiveness and stability, adapting effectively to medium-term price movements while filtering excessive market noise that typically affects shorter-term analytical systems.
For active intraday traders, the Scalping Cloud Filter utilizes accelerated Supertrend calculations designed to capture rapid trend changes effectively. This configuration provides enhanced signal generation frequency suitable for compressed timeframe strategies. The advanced Scalping+ Cloud Filter incorporates Hull Moving Average confirmation, delivering maximum responsiveness for ultra-short-term trading while maintaining signal quality through additional momentum validation processes.
Specialized Assistant Functionality
The system includes two distinct assistant modes that provide supplementary market analysis capabilities. The Trend Assistant Mode activates advanced cloud analysis overlays that display dynamic support and resistance zones calculated through adaptive volatility algorithms. These levels automatically adjust to current market conditions, providing visual guidance for identifying trend continuation patterns and potential reversal areas with mathematical precision.
The Trend Tracker Mode concentrates on long-term trend identification by displaying major exponential moving averages with color-coded fill areas that clarify directional bias. This mode maintains visual simplicity while providing comprehensive trend context evaluation, enabling traders to quickly assess broader market direction and align shorter-term strategies accordingly.
Dynamic Risk Management System
The integrated risk management system automatically adapts across all operational modes, calculating stop loss and take profit targets using Average True Range multiples that adjust to current market volatility. This approach ensures consistent risk parameters regardless of selected operational mode while maintaining relevance to prevailing market conditions.
Stop loss placement occurs at dynamically calculated distances from entry points, while three progressive take profit targets establish at customizable ATR multiples respectively. The system automatically updates these levels upon trend direction changes, ensuring current market volatility influences all risk calculations and maintains appropriate risk-reward ratios throughout trade management.
Comprehensive Market Analysis Dashboard
The sophisticated dashboard provides real-time market analysis including volatility measurements, institutional activity assessment, and multi-timeframe trend evaluation across five-minute through four-hour periods. This comprehensive market context assists traders in selecting appropriate operational modes based on current market characteristics rather than relying exclusively on historical performance data.
The multi-timeframe analysis ensures mode selection considers broader market context beyond the primary trading timeframe, improving overall strategic alignment and reducing conflicts between different temporal market perspectives. The dashboard displays market state classification, volatility percentages, institutional activity levels, current trading session information, and trend pressure indicators with professional formatting and clear visual hierarchy.
Enhanced Trading Assistants
The Fresh Algo V24 includes specialized trading assistant features that complement the primary signal generation system. The Reversal Dot functionality identifies potential reversal points through Wave Trend Oscillator analysis, displaying visual indicators when crossover conditions occur at extreme levels. These reversal indicators provide early warning signals for potential trend changes before they appear in the primary signal system.
The Dynamic Take Profit Labels feature automatically identifies optimal profit-taking opportunities through RSI threshold analysis, marking potential exit points at multiple levels for long positions and corresponding levels for short positions. This automated profit management system helps traders optimize exit timing without requiring constant manual monitoring of technical indicators.
Advanced Alert System
The comprehensive alert system accommodates all operational modes while providing granular notification control for various signal types and risk management events. Traders can configure separate alerts for normal buy signals, strong buy signals, normal sell signals, strong sell signals, stop loss triggers, and individual take profit target achievements.
Cloud crossover alerts notify traders when trend direction changes occur, providing early indication of potential strategy adjustments. The alert system includes detailed trade setup information, timeframe data, and relevant entry and exit levels, ensuring traders receive complete context for informed decision-making without requiring constant chart monitoring.
Technical Foundation Architecture
The Fresh Algo V24 combines multiple proven technical analysis components including Wave Trend Oscillator for momentum assessment, Supertrend for directional bias determination, Squeeze Momentum for volatility analysis, and various exponential moving averages for trend confirmation. Each component contributes specific market insights while the unified system provides comprehensive market evaluation through their mathematical integration.
The multi-component approach reduces dependency on individual indicator limitations while leveraging the analytical strengths of each technical tool. This creates a robust analytical framework capable of adapting to diverse market conditions through appropriate mode selection and parameter optimization, ensuring consistent performance across varying market environments.
Market State Classification
The indicator incorporates advanced market state classification through ADX analysis, distinguishing between trending, ranging, and transitional market conditions. This classification system automatically adjusts signal sensitivity and filtering parameters based on current market characteristics, optimizing performance for prevailing conditions rather than applying static analytical approaches.
The volatility measurement system calculates current market activity levels as percentages, providing quantitative assessment of market energy and helping traders select appropriate operational modes. Institutional activity detection through volume analysis ensures signal generation aligns with professional market participation patterns.
Implementation Strategy Considerations
Successful implementation requires careful matching of operational modes to prevailing market conditions and individual trading objectives. Trending modes demonstrate optimal performance during directional markets with sustained momentum characteristics, while contrarian modes excel during range-bound or overextended market conditions where reversal probability increases.
The cloud filter configurations provide varying degrees of confirmation strength, with smoother settings reducing false signal occurrence at the expense of some responsiveness to price changes. Traders must balance signal quality against signal frequency based on their risk tolerance and available trading time, utilizing the comprehensive customization options to optimize performance for their specific requirements.
Multi-Timeframe Integration
The system provides seamless multi-timeframe analysis through the integrated dashboard, displaying trend alignment across multiple time horizons from five-minute through four-hour periods. This analysis helps traders understand broader market context and avoid conflicts between different temporal perspectives that could compromise trade outcomes.
Session analysis identifies current trading session characteristics, providing context for expected market behavior patterns and helping traders adjust their approach based on typical session volatility and participation levels. This geographic market awareness enhances strategic decision-making and improves timing for trade execution.
Advanced Visualization Features
The indicator includes sophisticated visualization capabilities through gradient candle coloring based on MACD analysis, providing immediate visual feedback on momentum strength and direction. This enhancement allows rapid market assessment without requiring detailed indicator analysis, improving efficiency for traders managing multiple instruments simultaneously.
The cloud visualization system uses color-coded fill areas to clearly indicate trend direction and strength, with automatic adaptation to selected operational modes. This visual clarity reduces analytical complexity while maintaining comprehensive market information display through professional chart presentation.
Performance Optimization Framework
The Fresh Algo V24 incorporates performance optimization features including signal strength classification, automatic parameter adjustment based on market conditions, and dynamic filtering that adapts to current volatility levels. These optimizations ensure consistent performance across varying market environments while maintaining signal quality standards.
The system automatically adjusts sensitivity levels based on selected operational modes, ensuring appropriate responsiveness for different trading approaches. This adaptive framework reduces the need for manual parameter adjustments while maintaining optimal performance characteristics for each operational configuration.
Conclusion
The Mutanabby_AI Fresh Algo V24 represents a comprehensive solution for professional trading analysis, combining multiple analytical approaches with advanced visualization and risk management capabilities. The system's strength lies in its adaptive multi-mode design and sophisticated filtering mechanisms, providing traders with versatile tools for various market conditions and trading styles.
Success with this system requires understanding the relationship between different operational modes and their optimal application scenarios. The comprehensive dashboard and alert system provide essential market context and trade management support, enabling systematic approach to market analysis while maintaining flexibility for individual trading preferences.
The indicator's sophisticated architecture and extensive customization options make it suitable for traders at all experience levels, from those seeking systematic signal generation to advanced practitioners requiring comprehensive market analysis tools. The multi-timeframe integration and adaptive filtering ensure consistent performance across diverse market conditions while providing clear guidelines for strategic implementation.
