X OC StoryOverview
The "X OC Story" is a Pine Script indicator that visualizes the Open-Close range of a higher timeframe (HTF) candle on a lower timeframe chart. By plotting dynamic lines to represent the open and close prices of the previous HTF bar, this tool gives traders a clearer context of recent market sentiment and structural shifts. It includes color-coded visual fills to distinguish between bullish and bearish candles and offers the option to display only the most recent range.
Concept
1. Multi-Timeframe Analysis (MTF)
At its core, this indicator utilizes multi-timeframe analysis by requesting open, high, low, and close values from a user-defined HTF (input.timeframe('60')) and applying them to a lower timeframe chart. This allows traders to incorporate higher timeframe information without switching chart intervals.
2. Timeframe Change Detection
The indicator detects when a new HTF candle begins which lets the script know when to capture and visualize a new set of HTF open-close values.
3. Encapsulation with Custom Type (candles)
The script defines a custom type candles to encapsulate OHLC values of the previous HTF candle. This improves code readability and structure by keeping all relevant HTF data in a single object.
4. Dynamic Line Drawing
When a new HTF candle is detected, two horizontal lines are drawn for Open and Close. These are updated dynamically on each bar to extend across the entire HTF candle range on the lower timeframe chart.
5. Visual Highlighting
a shaded area is drawn between the open and close lines which help highlight market structure without overwhelming the chart.
6. Selective Persistence of Drawings
Users can enable deleteOld to show only the most recent HTF open-close range. When enabled, previously drawn lines are tracked in an array and deleted upon creation of a new range, keeping the chart clean and focused.
How a Trader Might Use This Tool
Contextual Decision-Making
This indicator helps traders see where the market is trading relative to the previous HTF candle:
Trading above the HTF close may suggest bullish continuation
Trading below the HTF open may indicate a bearish reversal or breakdown
Confluence Zones
The open and close lines of HTF candles often act as support/resistance levels. A trader might:
Watch for rejections or breakouts at these levels
Use them in confluence with intraday setups or trend indicators
Scalping or Intraday Strategy Support
Since this visual is drawn on a lower timeframe (like 5m or 15m), it’s particularly useful for scalpers or day traders who want to factor in HTF sentiment without leaving their active chart.
Cleaner Charting
With the optional setting to display only the most recent range (deleteOld), traders avoid clutter and focus on the current actionable zone.
Summary
“X OC Story” is a clean, visual, and effective multi-timeframe utility that helps traders:
Identify HTF open-close context
Highlight possible support/resistance zones
Analyze sentiment and structure visually
It’s an excellent addition to any discretionary trader’s toolkit for improved context awareness and informed entries or exits.
Cari dalam skrip untuk "mtf"
EWMA & EWVar + EWStd Expansion with MTF_V.5EWMA & EWVar + EWStd Expansion with MTF_V.5
This indicator combines adaptive trend smoothing (EWMA), variance estimation (EWVar) and dynamic volatility “bursts” (EWStd Expansion) with optional higher-timeframe confirmation. It’s designed both for visual chart analysis and for automated alerts on regime changes.
Key Features
EWMA (Exponential Smoothing):
• Computes an exponential moving average with either a custom α or a length-derived α = 2/(N+1).
• Option to recalculate only every N bars (reduces CPU load).
EWVar & EWStd (Variance & Standard Deviation):
• Exponentially weighted variance tracks recent price dispersion.
• EWStd (σ) is computed alongside the EWMA.
• Z-score (deviation in σ units) shows how far price has diverged from trend.
Multi-Timeframe Filter (MTF):
• Optionally require the same trend direction on a chosen higher timeframe (e.g. Daily, Weekly, H4).
• Real-time lookahead available (may repaint).
Gradient Around EWMA:
• A multi-layer “glow” zone of ±1σ, broken into up to 10 steps.
• Color interpolates between “upper” and “lower” shades for bullish, bearish and neutral regimes.
Instantaneous Trendline (ITL):
• Ultra-fast trend filter with slope-based coloring.
• Highlights micro-trends and short-lived accelerations.
Cross-Over Signals (ITL ↔ EWMA):
• Up/down triangles plotted when the ITL crosses the main EWMA.
EWStd Expansion (Volatility Bursts):
• Automatically detects σ expansions (σ growth above a set % threshold).
• Price filter: only when price moves beyond EWMA ± (multiplier·σ).
• Optional higher-timeframe confirmation.
Labels & Alerts:
• Text labels and circular markers on bars where a volatility burst occurs.
• Built-in alertcondition calls for both bullish and bearish expansions.
How to Use
Visual Analysis:
• The gradient around EWMA shows the width of the volatility channel expanding or contracting.
• ITL color changes instantly highlight short-term impulses.
• EWMA line color switches (bullish/bearish/neutral) indicate trend state.
Spotting Volatility Breakouts:
• “EWStd Expansion” labels and circles signal the onset of strong moves when σ spikes.
• Useful for entering at the start of new impulses.
Automated Alerts:
• Set alerts on the built-in conditions “Bullish EWStd Expansion Alert” or “Bearish EWStd Expansion Alert” to receive a popup or mobile push when a burst occurs.
This compact tool unifies trend, volatility and multi-timeframe analysis into a single indicator—ideal for traders who want to see trend direction, current dispersion, and timely volatility burst signals all at once.
[TehThomas] - Fair Value GapsThis script is designed to automatically detect and visualize Fair Value Gaps (FVGs) on your chart in a clean, intuitive, and highly responsive way. It’s built with active traders in mind, offering both dynamic updates and customization options that help you stay focused on price action without being distracted by outdated or irrelevant information.
What Are Fair Value Gaps?
Fair Value Gaps are areas on a chart where there’s an inefficiency in price, typically formed when price moves aggressively in one direction, leaving a gap between the wicks of consecutive candles. These gaps represent imbalanced price action where not all buy or sell orders were efficiently matched. As a result, they often become magnet zones where price returns later to "fill" the imbalance before continuing in its intended direction. Many traders use them as points of interest for entries, re-entries, or anticipating reversals and consolidations.
This concept is frequently used in Smart Money and ICT-based trading models, where understanding how price seeks efficiency is crucial to anticipating future moves. When combined with concepts like liquidity, displacement, and market structure, FVGs become powerful tools for technical decision-making.
Script Features & Functionality
1. Live Updating Gaps (Dynamic Shrinking)
One of the core features of this script is its ability to track and dynamically shrink Fair Value Gaps as price trades into them. Instead of leaving a static zone on your chart, the gap will adjust in real-time, reflecting the portion that has been filled. This gives you a much more accurate picture of remaining imbalance and avoids misleading zones.
2. Automatic Cleanup After Fill
Once price fully fills an FVG, the script automatically removes it from the chart. This helps keep your workspace clean and focused only on relevant price zones. There’s no need to manually manage your gaps, everything is handled behind the scenes to reduce clutter and distraction.
3. Static Mode Option
While dynamic updating is the default, some traders may prefer to keep the original size of the gap visible even after partial fills. For that reason, the script includes a toggle to switch from live-updating (shrinking) mode to static mode. In static mode, FVGs stay fixed from the moment they are drawn, giving you a more traditional visual reference point.
4. Multi-Timeframe Support (MTF)
You can now view higher timeframe FVGs, such as those from the 1H or 4H chart, while analyzing lower timeframes like the 5-minute. This allows you to see key imbalances from broader market context without having to flip between charts. FVGs from higher timeframes will be drawn distinctly so you can differentiate them at a glance.
5. Cleaner Visualization
The script is designed with clarity in mind. All drawings are streamlined, and filled gaps are removed to maintain a minimal, distraction-free chart. This makes it easier to combine this tool with other indicators or price-action-based strategies without overloading your workspace.
6. Suitable for All Market Types
This script can be used on any asset that displays candlestick-based price action — including crypto, forex, indices, and stocks. Whether you're scalping low-timeframe setups or swing trading with a higher timeframe bias, FVGs remain a useful concept and this script adapts to your trading style.
Use Case Examples
On a 5-minute chart, display 1-hour FVGs to catch major imbalance zones during intraday trading.
Combine the FVGs with liquidity levels and inducement patterns to build ICT-style trade setups.
Use live-updating gaps to monitor in-progress fills and evaluate whether a zone still holds validity.
Set the script to static mode to perform backtesting or visual replay with historical setups.
Final Notes
Fair Value Gaps are not a standalone trading signal, but when used with market structure, liquidity, displacement, and order flow concepts, they provide high-probability trade locations that align with institutional-style trading models. This script simplifies the visualization of those zones so you can react faster, stay focused on clean setups, and eliminate unnecessary distractions.
Whether you’re trading high volatility breakouts or patiently waiting for retracements into unfilled imbalances, this tool is designed to support your edge with precision and flexibility.
Gabriel's Squeeze Momentum PRO“Gabriel’s Squeeze Momentum PRO” is a next-generation evolution of the classic SQZMOM concept. It layers multiple John Ehlers filters, Jurik smoothing, adaptive cycle-detection, and a Cauchy-weighted price filter on top of the familiar Bollinger-Band-inside-Keltner-Channel squeeze logic. The goal is to pinpoint volatility contractions and immediately gauge whether forthcoming expansion is likely to break bullish or bearish—while screening out noise, lag, and regime shifts across any symbol or timeframe.
1 · What the script plots
Plot What it represents Why it matters
Momentum line (teal/red) Price-de-trended linear-regression of a Cauchy-filtered source, optionally normalized. Measures directional thrust during / after a squeeze.
Signal line (white JMA) Jurik moving average of the momentum line. Smooth trigger for crossovers / reversals.
Squeeze dots (blue, black, red, yellow, purple, green) Real-time volatility state: No squeeze → Wide → Normal → Narrow → Very Narrow → Fired. Helps anticipate explosive moves as BB exits KC.
Cyclic RSI bands (cyan / fuchsia) Dynamic overbought / oversold bands derived by MESA dominant-cycle analysis. Contextualizes momentum extremes—no fixed 70/30.
Rate-of-Change (optional) (orange / blue shading) ROC of the momentum-signal spread, scaled. Highlights acceleration / deceleration.
Reversal guide lines (optional colored rays) Drawn when momentum crosses its JMA and reversal-mode is on. Visual confirmation of early trend change.
2 · Key engine components
Cauchy PDF-weighted moving average
Creates a heavy-tailed weighting curve; center bars dominate while still capturing fat-tail outliers—excellent for choppy instruments or volume-weighting (Volume weighted?).
Butterworth High-Pass & Super-Smoother Low-Pass
Strip out drift, then smooth what’s left. This isolates true cyclic motion before momentum is computed.
Fast RMS normalizer
Converts the band-pass output into a unit-scale “power” reading—vital for adaptive thresholds.
Goertzel + MESA dominant-cycle
Auto-detects fast & slow cycles, then blends them to size overbought / oversold bands and to set the adaptiveLength (if Use Adaptive Length? is enabled).
Jurik RSX & JMA
Provide ultra-low-lag smoothing for momentum and for reversal detection.
3 · Input groups and how to tune them
Group Why change it Tips
Normalization (Unbounded / Min-Max / Standard Deviations) Puts momentum & signal on the scale that best suits the asset. Crypto / small-caps: StdDev (handles volatility).
FX / indices: Min-Max or leave unbounded for raw juice.
Cauchy Distribution Tailors the Cauchy filter. Gamma ↓ (0.1-0.4) ⇒ faster / riskier. Use Adaptive Length pairs it with MESA cycle length for auto speed control.
Rate of Change Visual momentum acceleration. Leave off (Show Rate of Change = false) if you want a cleaner pane.
Momentum Colors / Directional Momentum? Switch between classic SQZMOM coloring and trend-biased histogram. Turn on when you prefer “green-gets-greener / red-gets-redder” style signals.
Squeeze Colors & Thresholds Fine-tune what “wide / normal / narrow” mean. Larger assets (SPX, BTC-Perp): raise the thresholds a touch. Thin or low-ATR symbols: lower them.
Multi-Time-frame blocks (1 h, 4 h, D, W, M) Pre-sets for BB/KC length, squeeze thresholds, and reversal MA length per TF. The script auto-detects the chart timeframe and loads the matching row—just adjust each block once.
Reversal Signals Whether to draw vertical rays on momentum crossovers. Use on swing-trading timeframes (≥1 h) to catch early momentum flips.
4 · How to read & trade it
Scan for purple / yellow / red dots
These indicate Very-Narrow, Narrow, and Normal squeezes—markets are coiling.
Wait for a fired squeeze (green dot)
BB has pushed outside KC; volatility is expanding. Momentum direction often dictates breakout bias.
Check momentum relative to zero & signal
Bullish setup: Momentum > 0 and crossing above signal. Bearish setup: Momentum < 0 and crossing below signal. Alerts “Bullish / Bearish Trend Reversal” are raised here if enabled.
Validate with cyclic bands
If momentum launches from near the lower cyan band, bullish moves are higher-probability (symmetrical for upper fuchsia band).
Confirm trend strength
Directional-momentum histogram keeps turning brighter in trend direction; ROC is above zero and rising.
Manage the trade
First target = prior squeeze mid-range or recent swing high/low.
Consider scaling out when momentum weakens (histogram fades) or reverses through signal line.
Optional: draw the reversal rays to highlight exit zones automatically.
5 · Practical workflows
Scalpers (1-5 min)
Uncheck Use Adaptive Length, set main Length to 10-12, Gamma to 0.3.
Use ROC for ultra-fast divergences.
Treat Normal squeezes (red) as tradable; ignore Wide. Healthy Volume is ideal.
Swing traders (1 h – 4 h)
Keep default adaptive length; enable 1-H/4-H reversal blocks.
Trade only after Very-Narrow/Narrow squeezes; ride until weekly/daily reversal ray prints.
Position / Trend followers (Daily+)
Raise Wide/Normal thresholds a bit (e.g., 2.2 / 1.7).
Momentum normalization = Standard Deviations to filter regime shifts.
Combine with higher-timeframe MTF panel or moving-average ribbons.
6 · Built-in alert catalog
Alert name Fires when Typical action
🟢 Fired Squeeze Green dot appears (vol expansion already under way) Stay in trend or add on pullbacks.
🟠 Low / 🔴 Normal / 🟡 Tight / 🟣 Very Tight Respective squeeze engages Get your watch-list ready; plan trades.
🐂 Bullish / 🐻 Bearish Trend Reversal Momentum crosses signal in requested direction Entry / exit / scale adds.
Set alerts on “Once Per Bar Close” for reliable signals.
7 · Best practices & caveats
Context is king – Use higher-timeframe structure (support/resistance, VWAP, market profile) to avoid false breakouts.
Data quality – On illiquid symbols, consider turning volume weighting off (pre-market gaps distort results).
Normalization choice – Mixing different normalizations across charts can confuse muscle memory; pick one style per asset class.
Lag vs. noise – If entries feel late, lower Gamma or disable adaptive length. If too jumpy, increase Length or choose Standard-Deviation normalization.
Not a stand-alone holy grail – Combine with risk management (ATR-based stops, Kelly-fraction sizing) and confirm with price action.
Harness the script’s adaptive filtering, multi-TF presets, and rich alert suite to spot compression, time breakouts, and stay on the right side of momentum—whether you’re scalping ES futures or swing-trading alt-coins.
Mean Reversion Bundle [ActiveQuants]The Mean Reversion Bundle indicator is a powerful and versatile toolkit designed for traders who specialize in mean reversion strategies . This comprehensive bundle integrates eight key technical indicators renowned for their ability to identify potential price reversals, overbought/oversold conditions, and market exhaustion points. By consolidating Moving Averages (Fast & Slow) , Bollinger Bands , RSI (with Divergence) , Stochastic , Keltner Channels , Standard Pivot Points , ATR , and the Choppiness Index into a single, efficient script, it significantly streamlines chart analysis and empowers robust strategy development.
This bundle operates on the core principle of mean reversion: prices tend to revert to their historical average or mean over time . The included indicators provide multiple perspectives to assess these potential turning points:
Dynamic Support/Resistance: Moving Averages, Bollinger Bands, Keltner Channels, Pivot Points.
Momentum Oscillators: RSI, Stochastic.
Overbought/Oversold Conditions: RSI, Stochastic, Bollinger Bands.
Volatility Assessment: ATR, Bollinger Bands, Keltner Channels.
Market Condition Filter: Choppiness Index (Range vs. Trend).
Reversal Signals: RSI Divergence, Bollinger Band recovery.
By enabling users to selectively activate, extensively customize, and visualize these tools ( often with multi-timeframe capabilities ), the Mean Reversion Bundle facilitates a nuanced and layered approach to identifying high-probability mean reversion setups.
█ KEY FEATURES
All-in-One Mean Reversion Suite: Access eight distinct mean reversion indicators within a single TradingView script slot, saving valuable indicator space.
Modular Design: Easily toggle each indicator (Fast MA, Slow MA, Bollinger Bands, RSI, Stochastic, Keltner Channels, Pivot Points, ATR, Choppiness Index) On or Off through the intuitive settings menu to tailor your analysis.
Deep Customization: Fine-tune a wide array of parameters for every indicator, including lengths, sources, MA types, colors, line styles, levels, and specific calculation methods to precisely match your trading strategy and the asset's characteristics.
Multi-Timeframe (MTF) Capability: Configure most indicator components to analyze data from a different timeframe than your main chart, providing crucial higher-level context for mean reversion signals (e.g., daily RSI on an hourly chart).
Integrated Alert System: Pre-built alert conditions for critical mean reversion events such as:
- Price Crossover/Crossunder (Fast MA)
- Price Crossover/Crossunder (Slow MA)
- Lower Bollinger Band Recovery
- Upper Bollinger Band Recovery
- Bullish RSI Divergence
- Bearish RSI Divergence
Set up these alerts directly through TradingView's alert creation dialog. (See section on "█ SETTING UP ALERTS " for more details).
Advanced MA & RSI Smoothing: Option to apply a secondary smoothing MA or even Bollinger Bands directly to the Fast MA, Slow MA, and RSI lines for refined signal generation.
Sophisticated Pivot Points Module: Includes multiple Pivot Point types (Traditional, Fibonacci, Woodie, Classic, DM, Camarilla) with flexible timeframes (Daily to Decennially) and dynamic drawing of historical levels.
RSI Divergence Detection: Automatically plots potential bullish and bearish divergences between price and the RSI, a classic reversal signal.
█ USER INPUTS
The settings panel is organized into distinct sections for each of the 8 core indicator components:
Fast MA & Slow MA: On/Off, MA Type, Source, Length, Color, Line Width, Smoothing Type (None, MA, or MA + BBs), Smoothing Length, BB StdDev (if smoothing with BBs), Timeframe, Wait TF Close.
Bollinger Bands: On/Off, Length, Basis MA Type, Source, StdDev Multiplier, Offset, Colors, Timeframe, Wait TF Close.
RSI: On/Off, Source, Length, Overbought/Middle/Oversold Levels, Color, Line Width, Smoothing Type (None, MA, or MA + BBs), Smoothing Length, BB StdDev (if smoothing with BBs), Plot Divergence, Divergence Lookback Left/Right, Timeframe, Wait TF Close.
Stochastic: On/Off, %K Length, %K Smoothing, %D Smoothing, Overbought/Middle/Oversold Levels, Colors, Timeframe, Wait TF Close.
Keltner Channels: On/Off, Length, Multiplier, Source, Use Exponential MA (for basis), Bands Style (ATR, TR, Range), ATR Length, Colors, Timeframe, Wait TF Close.
Pivot Points: On/Off, Type, Pivots Timeframe (Anchor), Number of Pivots Back, Use Daily-based Values, Show Labels, Show Prices, Labels Position, Line Width, Line Style, and individual color/visibility toggles for P, S1-S5, R1-R5.
ATR: On/Off, Length, Smoothing Type, Color, Timeframe, Wait TF Close.
Choppiness Index: On/Off, Length, Offset, Upper/Middle/Lower Band Levels, Color, Timeframe, Wait TF Close.
█ SETTING UP ALERTS
The Mean Reversion Bundle comes with several pre-configured alert conditions to notify you of potential trading opportunities. To set up an alert:
Click the " Alert " button (clock icon) on TradingView's right-hand toolbar or top panel.
In the " Condition " dropdown, select " Mean Reversion Bundle ".
A second dropdown will appear, allowing you to choose from the specific alert conditions built into the script (e.g., " Price Crossover (Fast MA) ", " Bullish RSI Divergence ", " Lower Bollinger Band Recovery ").
You can also create more complex alerts by selecting one of the indicator's plotted lines (e.g., " RSI ", " Stochastic %K ", " Bollinger Band Basis ") in the first condition box, then choosing a comparison (e.g., " Crossing Down ", " Greater Than "), and then selecting another value or plotted line from the indicator in the third box.
Choose your preferred " Trigger " option:
- " Only Once ": The alert triggers the first time the condition is met, even on an unclosed (intra-bar) candle. The alert then deactivates.
- " Once Per Bar Close ": (Recommended for most mean reversion signals) The alert triggers only after the current bar closes if the condition was true on that closed bar. This ensures signals are based on confirmed price action and allows the alert to re-trigger on subsequent bars if the condition remains true.
- Other options like " Once Per Bar " or " Once Per Minute " are also available for different needs.
Customize the alert name, message, and notification preferences.
Click " Create ".
█ STRATEGY EXAMPLES
The following examples are for illustrative purposes only to demonstrate how indicators in this bundle can be combined for mean reversion strategies. They are not financial advice. Always conduct thorough backtesting and research.
1. Bollinger Band Reversal with RSI Confirmation
Goal: Identify potential reversals when price touches an outer Bollinger Band and RSI shows overbought/oversold conditions.
Setup: Enable Bollinger Bands (e.g., 20,2), RSI (e.g., 14), and optionally the Choppiness Index.
Entry (Long):
- Price touches or briefly closes below the Lower Bollinger Band.
- RSI is in the oversold region (e.g., below 30) or shows bullish divergence.
- Optional Filter: Choppiness Index > 61.8 (indicating a ranging market favorable for BB mean reversion).
- Enter on a confirming candle (e.g., price closes back inside the Lower Band, or a bullish candle pattern forms).
Entry (Short): Reverse logic for Upper Bollinger Band and overbought RSI (e.g., above 70) or bearish divergence.
Management: Stop-loss beyond the recent swing low/high or a multiple of ATR. Target the Bollinger Band basis line or the opposite band.
2. Stochastic Oversold/Overbought with Pivot Point Support/Resistance
Goal: Trade bounces from key Pivot Point levels when confirmed by Stochastic extremes.
Setup: Enable Stochastic (e.g., 14,3,3), Pivot Points (e.g., Daily Traditional), and Fast MA (e.g., 9 EMA) for short-term trend context.
Entry (Long):
- Price approaches a significant Pivot Support level (S1, S2).
- Stochastic %K and %D lines are in the oversold region (e.g., below 20) and ideally show a bullish crossover (%K crosses above %D).
- Optional Filter: Price is above the Fast MA, or the Fast MA starts to slope up.
- Enter on signs of price rejection at the Pivot level.
Entry (Short): Reverse logic for Pivot Resistance levels (R1, R2) and overbought Stochastic (e.g., above 80) with a bearish crossover.
Management: Stop-loss below the Pivot Support (for longs) or above Pivot Resistance (for shorts). Target the next Pivot level or a fixed risk-reward ratio.
3. RSI Divergence at Keltner Channel Extremes
Goal: Capitalize on weakening momentum (divergence) as price tests the outer Keltner Channel bands.
Setup: Enable RSI (with Divergence plotting enabled), Keltner Channels (e.g., 20,2 EMA basis, ATR 10), and ATR (for stop placement).
Entry (Long):
- Price is testing or near the Lower Keltner Channel band.
- A Bullish RSI Divergence is plotted (price makes a lower low, but RSI makes a higher low).
- Enter once the divergence is confirmed and price shows signs of turning up.
Entry (Short):
- Price is testing or near the Upper Keltner Channel band.
- A Bearish RSI Divergence is plotted (price makes a higher high, but RSI makes a lower high).
- Enter once divergence is confirmed and price shows signs of turning down.
Management: Place stop-loss based on ATR (e.g., 1.5x ATR below entry for longs) or beyond the Keltner Channel. Target could be the Keltner basis line or a measured move.
█ CONCLUSION
The Mean Reversion Bundle offers a sophisticated yet user-friendly suite of tools essential for traders focusing on mean reversion. By consolidating these powerful indicators, providing extensive customization , multi-timeframe analysis , and integrated alerts , this bundle simplifies the analytical workflow and aids in the development of more robust and nuanced trading strategies. Whether identifying potential exhaustion points, confirming overbought/oversold conditions, or finding precise entry near dynamic support/resistance, this bundle is a versatile asset for your technical analysis toolkit.
█ IMPORTANT NOTES
⚠ Parameter Optimization: The default settings are starting points. Always adjust indicator parameters (lengths, multipliers, levels) based on the specific asset, its volatility, and the timeframe you are trading. Thorough backtesting is crucial.
⚠ Multi-Timeframe Dynamics: Using the " Timeframe " input can be very powerful. If " Wait TF Close " is enabled (default), signals from higher timeframes will only update upon the close of that higher timeframe bar. Disabling it may lead to signals changing intra-bar.
⚠ Confluence is Key: Avoid relying on a single indicator. The strength of this bundle lies in combining signals from multiple indicators to build a confluence case for a trade.
⚠ Chart Clarity: While many tools are available, only enable those pertinent to your current strategy to maintain a clear and actionable chart.
⚠ Signal Confirmation: Indicator signals are typically finalized on bar close. Be cautious when acting on intra-bar signals, as they can change before the bar is complete. Using " Once Per Bar Close " for alerts is generally recommended for mean reversion signals.
█ RISK DISCLAIMER
Trading involves a substantial risk of loss and is not suitable for all investors. The Mean Reversion Bundle indicator is provided for educational and informational purposes only . It does NOT constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough research, utilize multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Zero Lag MTF Moving Average by CoffeeshopCryptoBased on Moving Average Types supplied by @TradingView www.tradingview.com
Ideas and code enhanced to show higher timeframe by @CoffeeShopCrypto
It’s time to take the guesswork out of moving averages and multiple timeframes when day trading. Moving averages are a cornerstone of many trading strategies, often viewed as dynamic support and resistance levels. Traders rely on these levels to anticipate price reactions, whether it’s a bounce in a trending market or a reversal in a ranging one. Additionally, the direction and alignment of multi timeframe moving averages—whether they’re moving in the same direction or diverging—provide critical clues about market momentum and potential reversals. However, the traditional higher timeframe moving average indicators force traders to wait for higher timeframe candles to close, creating lag and missed opportunities.
The Old Way
For example: If you are on a 5 minute chart and you want to observe the location and direction of a 30 minute chart Moving Average, you'll need to wait for a total of 6 candles to close, and again every 6 candles after that. This only creates more lag.
The New Way
Now there is no waiting for high timeframe session candles to close. No matter what timeframe Moving Average you want to know about, this indicator will show you its location on your current chart at any time in real time.
For those who prefer Bollinger Bands, this indicator adds a whole new dimension to your strategy. Traders often wait for price action to break outside the lower time frame Bollinger bands before considering a trade, while still seeking key support or resistance levels beyond them. But if you don't know the position of your higher time frame Bollinger, you could be trading into a trap. With Zero Lag Multi Timeframe Moving Average, you can view both your current and higher timeframe Bollinger Bands simultaneously with zero waiting. This lets you instantly see when price action is traveling between the bands of either timeframe or breaking through both—indicating a strong trend in that direction. Additionally, when both sets of Bollinger Bands overlap at the same price levels, it highlights areas of strong consolidation and ranging conditions, giving you a clear picture of market dynamics. This is a key element in price action that tells you there is currently no direction to the market and both the current and higher time frames are flat.
Enter Zero Lag Multi Timeframe Moving Average—the ultimate tool for real-time higher timeframe moving averages and Bollinger Bands. This innovative indicator eliminates the delay, delivering instant, precise values for higher timeframe averages and bands, even on open candles. Seamlessly combining current and higher timeframe data, it allows traders to identify key moments where moving averages or Bollinger Bands align or diverge, signaling market conditions. Whether you’re gauging the strength of a trend, pinpointing potential reversals, or identifying consolidation zones, Zero Lag Multi Timeframe Moving Average gives you the clarity needed to make better trading decisions according to market conditions.
Why is this "Mashup" of moving averages different and important?
Honestly its really about the calculation thats imported through the "import library" function.
Heres what it does:
The ZLMTF-MA is designed to help traders easily see where higher timeframe moving averages and Bollinger Bands are—without needing to switch chart timeframes or wait for those larger candles to close. It works by adjusting common moving average types like SMA, EMA, and VWMA to show what they would look like if they were based on a higher timeframe, right on your current chart. This helps users stay focused on their main timeframe while still having a clear view of the bigger picture, making it easier to spot trend direction, key support and resistance levels, and overall market structure. The goal is to keep things simple, fast, and more visually informative for everyday traders.
Bollinger Bands
When working with Bollinger Bands, a common strategy is to take the trades once price action has escaped through the top or bottom of your current Bollinger Band.
A false breakout occurs when both Bollinger Bands are not moving in the same direction as eachother or when they are overlapping.
Moving Averages as Support and Resistance:
Traders who use Moving Averages as support or resistance, looking for rejections or failures of these areas can now see multiple timeframe price action instantly and simultaneously.
Trading Setup Examples:
Price Action Scenario 1:
Higher Timeframe Ranging-
When price action breaks through a current moving average headed toward a higher timeframe moving average, trades are taken with caution if the moving averages are converging.
Price Action Scenario 2:
Strong Trending Market -
If the moving averages are in the same direction, and your price action is now leading the low timeframe moving average, you have re-entered a strong trend.
Price Action Scenario 3:
High Timeframe Rejections -
If you have a rejection of a higher timeframe moving average, and your both averages are still diverging, this is the end of a pullback as you re-enter a strong trend in the original direction
Price Action Scenario 4:
Trend Reversals -
If you close beyond both the low and high timeframe moving averages, you can consider that price action is strong enough to change direction here and you should prepare for trade setups in the opposite direction of the previous.
HTF MA Label Information:
Even if your high timeframe moving average is turned off, you can still see this label.
It gives you a quick reminder of what high timeframe settings you have used to see MA values.
6 Dynamic EMAs by Koenigsegg🚀 6 Dynamic EMAs by Koenigsegg
Take control of your chart with ultimate flexibility. This tool gives you 6 customizable EMAs across any timeframe, helping you read the market like a pro — whether you're scalping seconds or swinging days. Built for precision, designed for dominance.
The combinations? Endless. Mix and match any EMA lengths and timeframes for tailored confluence — exactly how elite traders operate.
🔑 Key Features
✅ 6 Fully Customizable EMAs
⏳ Multi-Timeframe Support (from seconds to months)
🎨 Custom Colors & Thickness for each EMA
🚨 Built-in Cross Alerts for instant trade signals
🧠 Clean, efficient logic using request.security()
🔁 Dynamically toggle EMAs on/off
⚙️ Lightweight for smooth chart performance
🧩 Endless combo potential — confluence on your terms
📈 What Is an EMA?
The EMA is a type of moving average that adjusts more quickly to recent price changes than a Simple Moving Average (SMA). It does this by giving exponentially more weight to the most recent candles.
⚙️ How Does It Function?
Smoothing Price Data:
It takes the average of closing prices over a chosen period (like 20 or 50 candles), but gives more influence to the latest prices.
Reacts Quickly to Price Shifts:
Since recent data is weighted more heavily, the EMA adjusts faster to sudden price changes — helping you spot trend reversals or momentum shifts earlier.
Dynamic Support & Resistance:
Traders often use EMAs as moving support/resistance levels. Price often "respects" EMAs in trending markets — bouncing off them during pullbacks.
Trend Confirmation:
- If price is above the EMA, the market is likely in an uptrend.
- If price is below the EMA, the market is likely in a downtrend.
- Multiple EMAs (like 12/21 or 50/200) crossing each other are used for entry/exit signals.
💡 Example:
If you use a 21 EMA on a chart, it shows you the average price of the last 21 candles, but the most recent ones weigh heavier. This makes the EMA more responsive than an SMA, and better for short-term or active trading.
📊 Why EMAs Matter — and How Multi-Timeframe EMAs Give You the Edge
Exponential Moving Averages (EMAs) are essential tools for identifying trend direction, momentum shifts, and dynamic support/resistance. Because they weight recent price data more heavily, EMAs adapt quickly to changing market conditions, giving traders early insight into reversals or continuations.
Where this script shines is in its multi-timeframe (MTF) capability. For example, plotting a daily EMA on a 4H chart gives you high-level directional guidance while still allowing precision entries. This enables confluence between LTF (low timeframe) signals and HTF (high timeframe) momentum — a crucial edge used by institutional-level traders.
You can configure the tool to run classic combos like the 12/21 crossover on your current chart, while layering in a 50 or 200 EMA from a higher timeframe for macro confirmation. The 6th EMA, colored light blue by default, is perfect for adding one final level of structure insight — often used as a long-term anchor or trend bias marker.
Whether you're riding the wave or catching the reversal, these EMAs serve as your adaptable compass in every environment.
🎯 Purpose
This indicator was built to give traders a clear, responsive, and multi-timeframe edge using dynamic Exponential Moving Averages. Whether you're trend-following, identifying momentum shifts, or building a confluence system — these 6 EMAs are here to align with your strategy and style.
💡 Pro Tip
Instead of cluttering your chart with multiple EMA indicators, this script consolidates all into one sleek tool. You can toggle off bands you don't currently need, like running only the 12/21 EMAs on your active chart timeframe, while adding the 12/21 EMAs from a higher timeframe to guide trade decisions.
With this setup, you're not just reacting — you're orchestrating your trades with intention.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and trade responsibly. Past performance does not guarantee future results.
Trend Following Bundle [ActiveQuants]The Trend Following Bundle indicator is a comprehensive toolkit designed to equip traders with a suite of essential technical analysis tools focused on identifying , confirming , and capitalizing on market trends . By bundling popular indicators like Moving Averages , MACD , Supertrend , ADX , ATR , OBV , and the Choppiness Index into a single script, it streamlines chart analysis and enhances strategy development.
This bundle operates on the principle that combining signals from multiple, complementary indicators provides a more robust view of market trends than relying on a single tool. It integrates:
Trend Direction: Moving Averages, Supertrend.
Momentum: MACD.
Trend Strength: ADX.
Volume Pressure: On Balance Volume (OBV).
Volatility: Average True Range (ATR).
Market Condition Filter: Choppiness Index (Trend vs. Range).
By allowing users to selectively enable, customize, and view these indicators (potentially across different timeframes), the bundle facilitates nuanced and layered trend analysis.
█ KEY FEATURES
All-in-One Convenience: Access multiple core trend-following indicators within a single TradingView script slot.
Modular Design: Easily toggle each individual indicator (MAs, MACD, Supertrend, etc.) On or Off via the settings menu to customize your chart view.
Extensive Customization: Fine-tune parameters (lengths, sources, MA types, colors, etc.) for every included indicator to match your trading style and the specific asset.
Multi-Timeframe (MTF) Capability: Configure each indicator component to analyze data from a different timeframe than the chart's, allowing for higher-level trend context.
Integrated Alerts: Pre-built alert conditions for key events like Moving Average crossovers , MACD signals , Supertrend flips , and Choppiness Index threshold crosses . Easily set up alerts through TradingView's alert system.
When configuring your alerts in TradingView, pay close attention to the trigger option:
- Setting it to " Only Once " will trigger the alert the first time the condition is met, which might happen during an unclosed bar (intra-bar). This alert instance will then cease.
- Setting it to " Once Per Bar Close " will trigger the alert only after a bar closes if the condition was met on that finalized bar. This ensures signals are based on confirmed data and allows the alert to potentially trigger again on subsequent closing bars if the condition persists or reoccurs. Use this option for signals based on confirmed, closed-bar data.
MA Smoothing & Bands (Optional): Apply secondary smoothing or Bollinger Bands directly to the Fast and Slow Moving Averages for advanced analysis.
█ USER INPUTS
Fast MA:
On/Off: Enables/Disables the Fast Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Fast MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Fast MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
Slow MA:
On/Off: Enables/Disables the Slow Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Slow MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Slow MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
MACD:
On/Off: Enables/Disables the MACD plots (MACD line, Signal line, Histogram).
Fast Length: Lookback period for the fast MA in MACD calculation. Default: 12.
Slow Length: Lookback period for the slow MA in MACD calculation. Default: 26.
Source: Input data for the MACD MAs. Default: close.
Signal Smoothing: Lookback period for the Signal Line MA. Default: 9.
Oscillator MA Type: Calculation type for Fast and Slow MAs (SMA, EMA). Default: EMA.
Signal Line MA Type: Calculation type for Signal Line MA (SMA, EMA). Default: EMA.
MACD Color: Color of the MACD line. Default: #2962FF.
MACD Signal Color: Color of the Signal line. Default: #FF6D00.
Timeframe: Sets a specific timeframe for the MACD calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
On Balance Volume (OBV):
On/Off: Enables/Disables the OBV plot and its related MAs/Bands.
Type (MA Smoothing): Selects MA type for smoothing OBV (None, SMA, EMA, etc.) or SMA + Bollinger Bands. Default: None.
Length (MA Smoothing): Lookback period for the OBV smoothing MA. Default: 14.
BB StdDev: Standard deviation multiplier for Bollinger Bands if selected. Default: 2.0.
Color: Color of the main OBV line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the OBV calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ADX:
On/Off: Enables/Disables the ADX plot.
ADX Smoothing: Lookback period for the ADX smoothing component. Default: 14.
DI Length: Lookback period for the Directional Movement (+DI/-DI) calculation. Default: 14.
Color: Color of the ADX line. Default: Red.
Timeframe: Sets a specific timeframe for the ADX calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ATR:
On/Off: Enables/Disables the ATR plot.
Length: Lookback period for the ATR calculation. Default: 14.
Smoothing: Selects the calculation type for ATR (SMMA (RMA), SMA, EMA, WMA). Default: SMMA (RMA).
Color: Color of the ATR line. Default: #B71C1C.
Timeframe: Sets a specific timeframe for the ATR calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Supertrend:
On/Off: Enables/Disables the Supertrend plot and background fill.
ATR Length: Lookback period for the ATR calculation within Supertrend. Default: 10.
Factor: Multiplier for the ATR value used to calculate the Supertrend bands. Default: 3.0.
Up Trend Color: Color for the Supertrend line and background during an uptrend. Default: Green.
Down Trend Color: Color for the Supertrend line and background during a downtrend. Default: Red.
Timeframe: Sets a specific timeframe for the Supertrend calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Choppiness Index:
On/Off: Enables/Disables the Choppiness Index plot and bands.
Length: Lookback period for the Choppiness Index calculation. Default: 14.
Offset: Shifts the plot left or right. Default: 0.
Color: Color of the Choppiness Index line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the CI calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
█ STRATEGY EXAMPLES
The following strategy examples are provided for illustrative and educational purposes only to demonstrate how indicators within this bundle could be combined. They do not constitute financial advice or trading recommendations. Always conduct your own thorough research and backtesting before implementing any trading strategy.
Here are a few ways the indicators in this bundle can be combined:
1. MA Crossover with Multi-Factor Confirmation
Goal: Enter trends early with confirmation from momentum and trend strength, while filtering out choppy conditions.
Setup: Enable Fast MA (e.g., 9 EMA), Slow MA (e.g., 50 EMA), MACD, ADX, and Choppiness Index.
Entry (Long):
- Price > Slow MA (Establishes broader uptrend context).
- Fast MA crosses above Slow MA OR Price crosses above Fast MA.
- MACD Histogram > 0 (Confirms bullish momentum).
- ADX > 20 or 25 (Indicates sufficient trend strength).
- Choppiness Index < 61.8 (Filters out excessively choppy markets).
Entry (Short): Reverse logic (except for ADX and Choppiness Index).
Management: Consider using the Supertrend or an ATR multiple for stop-loss placement.
Image showing a chart with 2:1 long and short trades, highlighting a candle disqualified for a long entry due to ADX below 20.
2. Supertrend Breakout Strategy
Goal: Use Supertrend for primary signals and stops, confirming with volume and trend strength.
Setup: Enable Supertrend, Slow MA, ADX, and OBV.
Entry (Long):
- Supertrend line turns green and price closes above it.
- Price > Slow MA (Optional filter for alignment with larger trend).
- ADX is rising or above 20 (Confirms trending conditions).
- OBV is generally rising or breaks a recent resistance level (Confirms volume supporting the move).
Entry (Short): Reverse logic (except for ADX and OBV).
Management: Initial stop-loss placed just below the green Supertrend line (for longs) or above the red line (for shorts). Trail stop as Supertrend moves.
Image showing a chart with a 2:1 long trade, one candle disqualified for a short entry, and another disqualified for a long entry.
3. Trend Continuation Pullbacks
Goal: Enter established trends during pullbacks to value areas defined by MAs or Supertrend.
Setup: Enable Slow MA, Fast MA (or Supertrend), MACD, and ADX.
Entry (Long):
- Price is consistently above the Slow MA (Strong uptrend established).
- ADX > 25 (Confirms strong trend).
- Price pulls back towards the Fast MA or the green Supertrend line.
- MACD Histogram was decreasing during the pullback but turns positive again OR MACD line crosses above Signal line near the MA/Supertrend level (Indicates momentum resuming).
Entry (Short): Reverse logic (except for ADX) during a confirmed downtrend.
Management: Stop-loss below the recent swing low or the Slow MA/Supertrend level.
Image showing a chart with 2:1 long and short trades, where price pulls back to the fast MA and the MACD histogram changes color, indicating shifts in momentum during the pullbacks.
█ CONCLUSION
The Trend Following Bundle offers a powerful and flexible solution for traders focused on trend-based strategies. By consolidating essential indicators into one script with deep customization, multi-timeframe analysis, and built-in alerts, it simplifies the analytical workflow and allows for the development of robust, multi-conditional trading systems. Whether used for confirming entries, identifying trend strength, managing risk, or filtering market conditions, this bundle provides a versatile foundation for technical analysis.
█ IMPORTANT NOTES
⚠ Parameter Tuning: Indicator settings (lengths, factors, thresholds) are not one-size-fits-all. Adjust them based on the asset being traded, its typical volatility, and the timeframe you are analyzing for optimal performance. Backtesting is crucial .
⚠ Multi-Timeframe Use: Using the Timeframe input allows for powerful analysis but be mindful of potential lag, especially if Wait TF Close is disabled. Signals based on higher timeframes will update only when that higher timeframe bar closes (if Wait TF Close is enabled).
⚠ Confirmation is Key: While the bundle provides many tools, avoid relying on a single indicator's signal. Use combinations to build confluence and increase the probability of successful trades.
⚠ Chart Clarity: With many indicators available, only enable those relevant to your current strategy to avoid overwhelming your chart. Use the On/Off toggles frequently.
⚠ Confirmed Bars Only: Like most TradingView indicators, signals and plots are finalized on the close of the bar. Be cautious acting on intra-bar signals which may change before the bar closes.
█ RISK DISCLAIMER
Trading involves substantial risk of loss and is not suitable for every investor. The Trend Following Bundle indicator provides technical analysis tools for educational and informational purposes only; it does not constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough analysis, use multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results.
📊 Happy trading! 🚀
BollingerBands MTF | AlchimistOfCrypto🌌 Bollinger Bands – Unveiling Market Volatility Fields 🌌
"The Bollinger Bands, reimagined through quantum mechanics principles, visualizes the probabilistic distribution of price movements within a multi-dimensional volatility field. This indicator employs principles from wave function mathematics where standard deviation creates probabilistic boundaries, similar to electron cloud models in quantum physics. Our implementation features algorithmically enhanced visualization derived from extensive mathematical modeling, creating a dynamic representation of volatility compression and expansion cycles with adaptive glow effects that highlight the critical moments where volatility phase transitions occur."
📊 Professional Trading Application
The Bollinger Bands Quantum transcends traditional volatility measurement with a sophisticated gradient illumination system that reveals the underlying structure of market volatility fields. Scientifically calibrated for multiple timeframes and featuring eight distinct visual themes, it enables traders to perceive volatility contractions and expansions with unprecedented clarity.
⚙️ Indicator Configuration
- Volatility Field Parameters 📏
Python-optimized settings for specific market conditions:
- Period: 20 (default) - The quantum time window for volatility calculation
- StdDev Multiplier: 2.0 - The probabilistic boundary coefficient
- MA Type: SMA/EMA/VWMA/WMA/RMA - The quantum field smoothing algorithm
- Visual Theming 🎨
Eight scientifically designed visual palettes optimized for volatility pattern recognition:
- Neon (default): High-contrast green/red scheme enhancing volatility transition visibility
- Cyan-Magenta: Vibrant palette for maximum volatility boundary distinction
- Yellow-Purple: Complementary colors for enhanced compression/expansion detection
- Specialized themes (Green-Red, Forest Green, Blue Ocean, Orange-Red, Grayscale): Each calibrated for different market environments
- Opacity Control 🔍
- Variable transparency system (0-100) allowing seamless integration with price action
- Adaptive glow effect that intensifies during volatility phase transitions
- Quantum field visualization that reveals the probabilistic nature of price movements
🚀 How to Use
1. Select Visualization Parameters ⏰: Adjust period and standard deviation to match market conditions
2. Choose MA Type 🎚️: Select the appropriate smoothing algorithm for your trading strategy
3. Select Visual Theme 🌈: Choose a color scheme that enhances your personal pattern recognition
4. Adjust Opacity 🔎: Fine-tune visualization intensity to complement your chart analysis
5. Identify Volatility Phases ✅: Monitor band width to detect compression (pre-breakout) and expansion (trend)
6. Trade with Precision 🛡️: Enter during band contraction for breakouts, or trade mean reversion using band boundaries
7. Manage Risk Dynamically 🔐: Use band width as volatility-based position sizing parameter
Timeframe Titans: Market Structure & MTF Order Blocks🟩 OVERVIEW
A combined market structure and order block indicator. Displays fractals, zigzags, Break Of Structure and Change Of Character lines. Shows order blocks on the chart and a higher timeframe.
Unique features include:
• The structure rules require counter fractals for BOS. This enables us to use more responsive fractal settings without creating excessive noise.
• Structure is strict. After the initial CHoCH there is always one and only one active CHoCH line.
• Order blocks can be filtered by market structure.
• Order blocks are based entirely on candle patterns (which appear to be unique among all the indicators we tested) instead of using pivots or other configurable calculations.
• Order blocks have separate mitigation levels, not merely the edge of the block, and being partially mitigated is a separate logical state.
🟩 WHAT IS MARKET STRUCTURE?
There are many ways to conceptualise and code market structure — the prevailing trend derived from important price levels. All of them start with identifying highs and lows in price, then use breaks of those levels to assign a trend.
This indicator displays the following market structure features:
• Williams Fractals to derive high and low pivots.
• Zigzag lines, which connect highs and lows.
• Break of Structure (BOS) lines, which are formed from the highest high in an *uptrend* or the lowest low in a *downtrend*. A break of a BOS line signals trend continuation.
• Change of Character (CHoCH) lines, which are formed from the highest high in a *downtrend* or the lowest low in an *uptrend*. A break of a CHoCH line signals trend reversal.
• Market structure bias, which is derived from the break of a CHoCH line. If a CHoCH line is broken to the upside, the trend is bullish, and if to the downside, bearish.
(For more details of the market structure features of this indicator, see the FEATURES OF THIS INDICATOR section.)
This definition of market structure implies that:
• There can only ever be one single active BOS line.
• There can only ever be one single active CHoCH line.
• A break of a BOS line creates a new CHoCH line.
• A break of a CHoCH line creates a new bias, a new BOS line, and a new CHoCH line.
• Before we can create a BOS, we need to know the bias, for which we need the CHoCH, for which we need BOS... just one of the chicken-vs-egg difficulties of coding market structure.
To understand how this indicator differs from other market structure indicators, see the COMPARISON WITH OTHER INDICATORS section.
🟩 WHAT ARE ORDER BLOCKS?
Order blocks are candle patterns that appear at highs and lows. The theory is that these areas are where many orders were filled — too many for the order book, causing an imbalance in buyers and sellers. As such, these areas can form support or resistance levels when price returns to them.
This indicator displays the following features related to order blocks:
• Imbalances, also called Fair Value Gaps.
• Order blocks of two different types (Imbalance Block and Standard Order Blocks)
(For more details of the order block features of this indicator, see the FEATURES OF THIS INDICATOR section.)
There are different patterns that can define order blocks, but the common element is that price should move vigorously away from the area after the pattern forms.
To understand how this indicator differs from other order block indicators, see the COMPARISON WITH OTHER INDICATORS section.
🟩 FEATURES OF THIS INDICATOR
Pivots
Shows Williams high and low fractals, with a configurable lookback. The pivots are always calculated, since they are the building block of all other market structure features. The pivot shape display can be turned on or off, and the display customised.
Zigzag
Draws lines between the highs and lows. The lines can be shown or hidden, and the colour and thickness configured.
Break of Structure
BOS lines are always calculated, but can be shown or hidden. The appearance can be customised. BOS lines are drawn from the candle that has the high or low that defines their level. They always extend until they are broken or the bias changes. The BOS lines have an optional, configurable label. When a BOS line is broken, an optional, configurable label is drawn on that bar.
Change of Character
CHoCH lines can be shown, hidden, and customised. CHoCH lines always extend until they are broken or a new CHoCH line is formed. CHoCH lines have optional labels. A different, customisable label is drawn when a CHoCH line is broken.
Market structure bias
Market structure bias is derived from the break of a CHoCH line. If a CHoCH line is broken to the upside, the trend is bullish, and if to the downside, bearish. The background is shaded a configurable colour based on the trend.
Imbalances
Imbalances are drawn in configurable colours. When they are mitigated, you can choose to change the colour, delete them, or leave them.
Order blocks
Two types of imbalance order blocks are displayed: Standard Order Blocks and Imbalance Blocks. They can be shown or hidden, and customised, independently.
Each order block has a mitigation line with configurable colours and style. If price exceeds the mitigation line, the order block is mitigated and is considered inactive.
The order blocks, or their labels, can be deleted when the order block is mitigated. If not deleted, their colour is changed and they no longer extend with each new bar.
Order blocks on the chart timeframe can be shown conditionally within the context of the market structure: you can choose to show:
• Pro-trend order blocks (bearish order blocks that were created in bearish market structure and vice-versa).
• Counter-trend order blocks (bearish order blocks that were created in bullish market structure and vice-versa).
• All order blocks.
Higher timeframe
Imbalances and order blocks can be independently shown and customised on a single higher timeframe. The HTF functions of this indicator do not repaint because they use confirmed data.
You can choose a custom, fixed higher timeframe, or an "Auto" mode where the script automatically chooses the higher timeframe based on the chart timeframe.
Script information messages
An optional table shows information about the script, including configuration problems, such as if a custom HTF is not actually higher than the chart timeframe.
🟩 HOW TO USE
There are very many ways to use market structure and order blocks in trading and we recommend you study extensively, and if possible get a trusted mentor.
Here is a random example we found on the recent GBPUSD chart. In the screenshot below, the left chart is at 30m and the right is at 5m. We've toggled various settings to make the chart clearer for demonstration purposes.
1 — We get a CHoCH break on the higher timeframe. So our bias (if we are trying to trade with the trend) is bearish. Now we look for some other confluence.
2 — Price revisits the top of the range and mitigates an imbalance block. It wicks the CHoCH (resetting it) but does not break it on close. The bearish market structure is thus preserved. For these reasons, we're thinking about a short, and we switch to the 5m chart on the right to find an entry. We've chosen a Custom HTF of 30m to match the left chart and we can see the mitigated HTF order block, marked "30m IB". We can see when price moves definitively out of the order block area to the downside.
3 — A bearish order block is formed and very quickly price comes back into it. We could enter a short here with a stop above the closest relevant fractal.
4 — Another bearish order block forms and price retests it. Another entry. Two previous 5m bullish order blocks at the bottom of the chart act as support. We could potentially close our short here.
5 — Another test of the same block, which was not mitigated the first time. Another potential short entry. As it happens, price makes a massive run lower here, such that we could trail our stop down one ATR above every single high fractal (marked out using manual rays and a public ATR indicator) for a good R:R, but that's not the point.
This is a made-up, retrofitted example with a fairly generic methodology. It's just to show how some of the features of this indicator could be used in trading:
• Market structure can give a bias. It can also mark interesting levels.
• Using multiple timeframes, while more complex, can level up your trading experience.
• Price trading back into order blocks can be a good R:R entry.
Your actual way of trading, your playbook of setups, your knowledge of your strengths and weakness as a trader, is your own.
🟩 LIMITATIONS
This indicator is intended for use on Forex markets, although order blocks and market structure do form on any reasonably liquid asset.
The HTF uses confirmed data, so you need to wait until the HTF bar is closed before the order block can form. Therefore it does not repaint, in the sense that people worry about repainting, of changing data in the past. We use the latest recommended method of fetching HTF data .
The market structure uses live chart data, so structure and order blocks that are created by conditions on an open realtime bar can appear and disappear as the current bar close changes. This is quite normal .
The Williams pivots are by definition only confirmed after a defined number of bars, and like everyone else we plot them offset into the past.
Similarly, we offset order blocks into the past so that they start on the candle that has the high or low that defines the order block, not the candle that created them. For HTF order blocks, we calculate the number of chart bars back assuming a 24-hour market, which gives accurate offsets only on Forex and other symbols that trade close to 24 hours each day.
🟩 COMPARISON WITH OTHER INDICATORS
There are a great number of market structure and order block indicators already published on TradingView. Since there are only a certain number of highs and lows on the chart from which to produce structure and order blocks, they all look somewhat similar. However, this indicator, written entirely from scratch without reference to the code of any other indicators, is unique and original in two kinds of ways: in patterns and in features.
PRECISE PATTERNS
We believe that edge in trading can be found in, amongst other things, precision in analysis. You can't truly trust your backtests if your system is not repeatable, and your system is repeatable only if its definitions are precise.
We trade with this indicator, and our students trade with it as well. Why did we spend months creating a new indicator instead of using one of the many existing ones, most of which are free and open source?
Because they are not quite how we wanted.
The indicator was created from our proprietary structure rules, which are based on the generally accepted understanding of market structure, with some specific tweaks.
To prepare this description (after the indicator is finished), we searched for "Market Structure", "CHoCH", and "SMC" and list below all popular (with over 3K boosts; excluding invite-only) indicators that show market structure with CHoCH (sometimes called MSS). We configured the settings to most closely match how our indicator works, added both indicators to the same chart, and looked for relevant differences.
The purpose of this section is not to try to say that this indicator is better than any other, but just that it is different. This difference is important for us and our students.
Indicator #1
As you can see, the indicator interpreted the first part of the chart as a downtrend, whereas ours interpreted it as an uptrend. The structure is completely different, because our Williams Fractal lookback is 2, and the minimum "Swing Points" value for Indicator #1 is 10. Although this indicator is deservedly popular, it isn't what we can use for the way we trade.
Indicator #2
Setting the "Zigzag Length" to 2 results in wildly different market structure, as shown below. For many fractals, this indicator does not place the zigzag at the highest high or lowest low, as ours does consistently. It does not highlight the trend in any way. It gives many Market Structure Breaks in a short period. Although it's again wildly popular, it doesn't match our way of encoding market structure.
Indicator #3
Again, setting the "Pivot lb" and "Pivot rb" inputs to 2 gives much too sensitive market structure. This is because this indicator does not require, as we do, a counter-fractal to form after a fractal in order to confirm a BOS. We believe that this rule gives less noisy structure while also being responsive. Most indicators attempt to compensate for this by having a much larger lookback period. While this does of course give fewer pivots and less noise, this is simply a different logic and gives different results. Note also that although this indicator correctly defines the first section of the chart as an uptrend, it does not draw a CHoCH line. As discussed above, our definition of market structure means that there should always be one and only one active CHoCH line, and we draw this at the earliest sensible opportunity.
Indicator #4
Again, the lack of any extra pivot confirmation logic means that this indicator creates different structure with the same lookback period. Also note the lack of initial CHoCH.
Indicator #5
The lowest lookback is 3, and so this indicator too gives very different structure.
Indicator #6
Of course, using a lookback of 2 gives different structure with this indicator too. For variety, here we show a lookback of 5, which is the lowest setting that returns significantly less noisy structure. You can see that the main CHoCH at the top of the chart is similar but not at the same place. Increasing the lookback does not ever result in a CHoCH at the same place, because the logic is simply different. When the lookback increases above 10, no CHoCH lines are drawn at the top at all.
Indicator #7
This indicator uses the highest/lowest price for the last 10 bars (fixed), along with some other bar conditions. You can see the resulting structure is quite different. Among other differences, it does not create a BOS at the top of the chart, even in an uptrend, and it does not create an opposing CHoCH when the existing CHoCH is broken.
Indicator #8
With "Custom" market structure and a length of 2, BOS and CHoCH lines are drawn by this indicator but in incongruous places.
Conclusion
Although we only illustrate the top few alternatives, we did check many, many others.
These market structure indicators may produce useful output, but their structure differs significantly from ours. We didn't even need to get into specific examples because the general approaches are so different. It is up to the user to decide which indicator, and which interpretation of market structure, best suits their needs.
ORDER BLOCKS
Continuing, we illustrate differences with the most popular order block indicators, trying to get them to match our order blocks. Note that some of these are also in the previous list as market structure indicators.
Order blocks are always formed at swings when price moves away with force, so they will be sort of the same across all the very many existing order block indicators. We are looking for precision and differentiation, as we did with market structure.
Indicator #1
This indicator does not have ability to display mitigated order blocks, only active ones. The order blocks do not match at all.
Indicator #2
With a period of 2, this indicator marks many of the same order blocks as ours. It doesn't extend the blocks, and doesn't mark them when mitigated. The logic for choosing the order block candle is also clearly different.
Indicator #3
Even with very sensitive settings, this indicator did not create as many order blocks as ours and they are quite different.
Indicator #4
Again you can see the logic for choosing candles and creating blocks is simply different. This indicator has inadequate protection against empty arrays, which causes runtime errors on charts with not much history (not a problem for Forex charts in general, but noticeable on the testing chart).
Indicator #5
We were unable to get the order blocks to extend with this indicator, although it should be possible. Anyway the blocks are wildly different.
Indicator #6
Even with the most sensitive settings, this indicator showed only one order block on our test chart.
Indicator #7
This indicator incorporates complex price action concepts. Nevertheless, the order blocks are very different indeed.
Indicator #8
This indicator forms quite different blocks to ours. It has several interesting settings including a choice of using the candle body or wick.
Indicator #9
We were not able to configure this indicator to produce the same order blocks as ours.
Indicator #10
On very sensitive settings, this indicator matches many of our order blocks, but at the same time many are different.
Conclusion
None of the indicators tested here (nor the many others we looked at previously) use the same logic as ours. The differences are so obvious that we don't have to call out individual blocks and analyse how they differ.
Fundamentally, other indicators seem to use variable precision for pivots in their order block detection calculations. Our order blocks are pure candle patterns with two different rulesets for Standard Order Blocks and Imbalance Order Blocks, and this logic does not change.
Note that our order blocks do not always automatically extend to the swing high or low, nor allow the user to choose the limit of the block, but use unique rules.
In summary, our indicator differs from other order block indicators in terms of fundamental detection logic, candle placement, boundary definition, mitigation levels, and logical states (see below).
UNIQUE COMBINATION OF FEATURES
In comparison to all other indicators we looked at, our indicator:
• Uses order blocks with three states: active, mitigated, and partially mitigated. Our mitigation lines for order blocks are rules-based. If price touches the mitigation line, the order block is considered fully mitigated. If price goes inside the order block but does not hit the mitigation line, it is only partially mitigated. These three states are visually distinguished.
• Has the most extensive visual customisation options of all those we looked at. We believe that being able to customise how you see indicator outputs is very important for reducing mental load while analysing and trading.
• Has a unique feature that combines market structure and order blocks, where the user can choose to show pro-trend order blocks (bullish blocks that are formed in bullish structure and vice-versa) or counter-trend blocks (bullish blocks that are formed in bearish structure and vice-versa).
• Approximates an initial trend bias very quickly, so we can start creatng BOS, CHoCH, etc.
• Requires a counter pivot to confirm a BOS line. This seemingly small logical step actually creates very different structure, as we saw in the comparison section.
• Uses a sophisticated array-based sorting mechanism to preserve the selected number of imbalances, use the rest of the TradingView box allowance for order blocks, and delete excess order block objects (not just drawings) in reverse historical order.
• Hides order block drawings if they are a configurable distance away from price. Magically redraws them if price moves closer.
• Includes an equivalent to the system "Calculated bars" setting for the high timeframe, to avoid unnecessary processing and improve performance.
🟩 CODING CONSIDERATIONS
This indicator consists of all original code written by @SimpleCryptoLife for Timeframe_Titans.
AI was used for the following purposes:
• Autocomplete
• Checking that bullish and bearish logic is parallel in a given function
• Querying the names and locations of variables hundreds of lines away when we forgot what they're called, like an expensive search-and-replace
• Help with debugging (it usually makes up elaborate and wrong ideas though)
It was not used to replace the coder's expertise and creativity, or to "vibe-code" some black-box functionality we didn't understand. We can recommend that you use AI the same way.
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[blackcat] L3 Projected Magic-9 SequenceOVERVIEW
The L3 Projected Magic-9 Sequence indicator is a sophisticated tool designed to help traders identify potential trend reversals through a unique sequence of price movements. By calculating projected highs and lows based on previous bar conditions, this script provides valuable insights into possible future market directions. It plots these key levels on the chart and highlights specific sequential patterns that often precede significant reversals, offering traders a visual advantage in their decision-making process 📈💡.
FEATURES
Projections: Calculates and plots projected highs and lows based on intricate conditions derived from previous bars' open, close, high, and low prices. These projections serve as dynamic support and resistance levels, helping traders anticipate potential turning points in the market 📊.
Sequential Patterns:
Identifies various sequential patterns known as "Magic" sequences, such as Magic-9 and Magic-13.
Labels these sequences directly on the chart for easy identification: 5, 6, 7, 8, 9, 12, 13 for both bullish and bearish trends.
Provides additional labels when these sequences align with projected highs or lows, enhancing the reliability of the signal 🏷️.
Differentiates between trend and sideways phases using the Magic-9 Project Range. Traditional sequences generating buy and sell signals of 9 and 13 during sideways swings are displayed indistinguishably from other numbers. However, the 9 and 13 generated by breakouts are highlighted with red and green labels for better visibility 🚦.
Project Range Adjustment:
The Project Range is automatically adjusted by Multiple Time Frame (MTF).
A higher cycle is selected as the baseline of the Project Range based on the current operating cycle, ensuring adaptability to varying market conditions ⏳.
Customization:
Offers customizable colors for plotted lines and labels, allowing users to tailor the appearance to their preferences 🎨.
Adjustable settings for lookback periods and other parameters to fine-tune the indicator according to individual trading styles.
Automatic Timeframe Selection:
Automatically selects the most suitable timeframe for data fetching, ensuring optimal performance across different chart intervals ⏳.
Ensures compatibility with various trading strategies, whether short-term intraday or long-term positional trading.
HOW TO USE
Adding the Indicator:
Open your TradingView platform and navigate to the chart where you want to apply the indicator.
Click on the "Indicators" button at the top of the screen and search for L3 Projected Magic-9 Sequence.
Select the indicator from the list and add it to your chart.
Understanding Projections:
Once added, observe the plotted projected highs and lows on your chart.
These lines represent anticipated support and resistance levels based on complex calculations involving previous bar data.
Identifying Sequential Patterns:
Look for labels such as 5, 6, 7, 8, 9, 12, and 13 appearing on the chart.
These labels signify specific sequential patterns that often precede market reversals.
Pay special attention to labels that include arrows (e.g., 9▼, 13▲), indicating alignment with projected highs or lows.
Note the differentiation between trend and sideways phases:
During sideways swings, traditional sequences generating buy and sell signals of 9 and 13 are displayed indistinguishably from other numbers.
Breakout-generated 9 and 13 are highlighted with red and green labels for clear identification.
Combining with Other Tools:
While the L3 Projected Magic-9 Sequence offers powerful insights, it is essential to combine its signals with other technical analysis tools.
Use moving averages, volume indicators, or candlestick patterns to confirm the validity of the identified sequences before executing trades.
LIMITATIONS
Market Conditions: The indicator performs best in trending markets but may generate false signals during periods of consolidation or range-bound movement 🌐.
Complexity: Due to its reliance on specific sequential patterns, some traders might find the concept challenging to grasp initially. Thorough testing and understanding are crucial before deploying it in live trading environments.
Data Dependency: Accurate projections depend on having sufficient historical data. Insufficient data may lead to less reliable results.
NOTES
Backtesting: Before implementing the indicator in real-time trading, conduct extensive backtesting to evaluate its effectiveness under various market conditions.
Risk Management: Always adhere to proper risk management principles, even when relying on robust indicators like this one. Set stop-loss orders and position sizes accordingly to protect your capital 🛡️.
Continuous Learning: Stay updated with the latest developments and adjustments made to the indicator by following community discussions and official updates from the author.
Multi Timeframe ATR, CCI & RSIMulti Timeframe ATR, CCI & RSI (MTF IND)
This indicator displays ATR, CCI, and RSI values from a custom selected timeframe in a clean table overlay.
It helps monitor volatility and momentum from higher/lower timeframes directly on your current chart.
Features:
• Select custom timeframe for all indicators (e.g., 1D, 1W, 65m, etc.)
• ATR with selectable smoothing type (RMA, SMA, EMA, WMA)
• CCI & RSI with trend arrows (▲ rising, ▼ falling, ▬ neutral)
• Compact summary table
Fair Value MTF [Plazo Sullivan Roche Capital]Unlock a New Edge in Market Timing with the Multi-Timeframe VWAP Indicator!
Transform your trading strategy with our cutting-edge TradingView indicator that brings the power of VWAP to multiple timeframes—all at your fingertips. Designed with the savvy trader in mind, this indicator gives you the clarity to see when prices stray from fair market value:
Seize the Opportunity:
When prices rise above the VWAP, it signals that the market is overvalued. This is your cue for a high-probability shorting opportunity, capitalizing on moments when excesses are primed for a pullback.
Find Your Bargain:
When prices fall below the VWAP, the market is signaling undervaluation—a perfect setup for a buying entry.
Trade with Confidence:
By aligning your trades with the prevailing weekly trend, this tool isn’t about random entries—it’s about smart, trend-confirmed retests at the VWAP. Ensure every trade is set against the direction of the broader market trend for optimized results.
Whether you’re a day trader looking for intraday signals or a swing trader aligning with the weekly momentum, our indicator streamlines your analysis and sharpens your decision-making. Elevate your trading and tap into a system built for precision and performance. Step into a new era of market analysis—where every retest is a potential win!
User Manual
1. Introduction
The Multi-Timeframe VWAP Indicator is engineered to help you interpret market sentiment and spot key entry signals by displaying customizable VWAPs from various timeframes. By highlighting moments when the price diverges from its fair value, this tool provides actionable insights to short overvalued markets and buy undervalued opportunities. Always use in conjunction with your overall market analysis and risk management protocols.
2. Understanding VWAP Basics
What is VWAP?
The Volume Weighted Average Price (VWAP) represents the average price a security has traded at throughout the day, based on both volume and price. It’s widely regarded as a benchmark for fair value.
How It Works:
Price Above VWAP: Indicates the security is trading at a premium—often a sign to consider short positions if confirmed by the weekly trend.
Price Below VWAP: Suggests the security is trading at a discount—an ideal signal for initiating a long or buying position.
Multi-Timeframe Advantage:
The indicator allows you to select VWAPs across different timeframes, offering a dynamic view that lets you align trades with the main weekly trend and pinpoint retest opportunities.
3. Installation and Setup
A. Installation Steps
Access TradingView:
Log in to your TradingView account.
Add the Indicator:
Open the “Indicators” menu on your chart.
Select “Add Script” and paste the provided code or locate the indicator by name if published publicly.
Apply the indicator to your chart.
Customizing Display Settings:
Select Timeframes: Choose which timeframe VWAPs you want displayed (e.g., intraday, daily, weekly).
Adjust Appearance: Customize line colors, thickness, and opacity through the indicator’s settings panel to match your chart style.
Set Alerts (Optional): Configure alerts when price crosses above or below a VWAP, ensuring you never miss a signal.
B. Initial Configuration Tips
Double-check that the indicator is plotting on your desired timeframes.
Familiarize yourself with the input parameters to adjust the VWAP calculations if necessary (e.g., session start/end times).
4. How to Use the Indicator
A. Interpreting Signals
Overvalued (Short Setup):
When the price moves above a selected VWAP, it indicates that the market may be overbought. Look for additional confirmation (such as alignment with the main weekly trend) before taking a short position.
Example: Price surges above the daily VWAP while the weekly trend remains bearish. This convergence signals that a pullback is likely.
Undervalued (Buy Setup):
Conversely, when the price is below the VWAP, the market is signifying a discount. This is your cue to look for buying opportunities.
Example: A dip below the daily VWAP in an overall bullish weekly trend can present a prime entry as the market is expected to recover.
Retest Strategy:
The most robust trades occur when price retests the VWAP in the direction of the main weekly trend.
Wait for a price retest of the VWAP level as confirmation.
Confirm that the retest aligns with the broader trend before entering the trade.
B. Practical Steps When Trading
Confirm the Trend:
Use other trend indicators or price action analysis to confirm the weekly market direction.
Monitor Price Action:
Observe how the price interacts with the VWAP lines. A strong retest provides confidence in your trade decision.
Execute and Manage Trades:
Enter a position when the price retests the VWAP and aligns with the trend.
Set stops just beyond the VWAP line to protect against unexpected volatility.
Consider profit-taking levels based on key support/resistance zones.
5. Advanced Features and Tips
Multi-Timeframe Analysis:
Use the indicator’s flexibility to view VWAP levels across different timeframes. This can enhance your analysis by revealing short-term versus long-term divergences.
Integrate with Other Tools:
Combine the VWAP Indicator with other technical indicators—such as moving averages or oscillators—to build a robust trading system.
Alert System:
Customize alerts for VWAP cross events. This ensures you’re immediately notified when price conditions meet your criteria.
Paper Trade First:
Before committing real capital, test your strategy using paper trading or a demo account. This helps ensure that your setups match your risk tolerance and trading style.
6. FAQs and Troubleshooting
Q: Why aren’t my VWAP lines showing properly?
A: Double-check your indicator’s settings and ensure that the selected timeframes are correctly configured in your chart’s interval.
Q: Can I change the VWAP calculation period?
A: Yes, some versions of the indicator offer adjustable parameters for the calculation period. Refer to the settings panel for customization options.
Q: What if I receive conflicting signals from different timeframes?
A: Focus on the main weekly trend for confirmation. Use shorter timeframe signals as entries once the overall trend aligns.
7. Disclaimer & Risk Management
Trading involves risk and is not suitable for every investor. This indicator is a tool to aid in your technical analysis and should be used in conjunction with sound risk management practices. Past performance is not indicative of future results. Always conduct your own research before making any trading decisions. We recommend testing the indicator in simulation mode prior to live trading.
8. Support & Further Assistance
For additional help with installation, troubleshooting, or strategy optimization, please contact our support team at Plazo Sullivan Roche Capital. We're committed to ensuring you get the most out of your Multi-Timeframe VWAP Indicator.
Dynamic Support|Resistance SSA & SSBHello, traders. I offer you an indicator to complement the Ichimoku Kinho Hyo trading system. This indicator determines possible dynamic resistance and support levels based on pivots and end points of the Senkou Span A and Senkou Span B lines.
You determine the pivots yourself, choosing how many bars back to look for HIGH and LOW.
Attention! Unlike the classical theory of Goichi Hosoda: the levels are dynamic, that is, they change values with each new bar!
Also added is the MTF function for displaying levels from different time frames.
ATLAS Reversion Bands v2 [EMA % Spread]🧠 About the ATLAS Reversion Bands v2
I created this indicator to answer a simple question:
"When is price extended too far from trend, and likely to revert?"
The ATLAS Reversion Bands measure the percentage spread between a fast and slow EMA (default 25/200) and track how far that spread moves from its historical average using z-score and standard deviation bands—essentially building a Bollinger Band system on top of EMA distance.
Instead of relying on traditional oscillators like RSI or MACD, this tool is purely math-driven and tailored for spotting overextensions across any asset.
🔍 What It Does
Tracks the normalized spread between EMA 25 and EMA 200
Highlights statistically rare zones using ±2 and ±3 standard deviation bands
Plots BUY/SELL triangle markers only on first entry into extreme zones
Helps identify mean reversion opportunities (deep pullbacks or FOMO tops)
📈 How to Use It
Wait for the spread to hit or exceed ±2.5 or ±3 standard deviations
Look for confirmation via price structure, candles, or volume
Best used on spot or perp markets with healthy liquidity
Ideal for swing trading or narrative-based rotational setups
🕐 Recommended Timeframes
1H, 4H, and 1D are optimal
Use MTF mode to apply daily logic on lower timeframes (e.g., see 1D exhaustion while trading 4H)
Works across:
✅ BTC, ETH, Majors
✅ Meme coins (better on 1H/4H)
✅ Market indexes (TOTAL2, BTC.D, etc.)
📌 Pro Tips
Raise the Z-score alert threshold for stricter signals (e.g., 3.0 for only the wildest extensions)
Use with other confluence tools (like S/R, candles, or RSI)
Not designed for chasing trends — this is a fade-the-hype, buy-the-blood kind of tool
Accumulation-Distribution CandlesThis structural visualization tool maps each candle through the lens of Effort vs. Result, blending Volume, Range, and closing bias into a normalized pressure score. Candle bodies are dynamically color-coded using a five-tier system—from heavy accumulation to heavy distribution—revealing where energy is building, dispersing, or neutral. This helps to visually isolate Markup, Markdown, Re-accumulation, and Distribution at a glance.
The indicator calculates a strength score by multiplying price result (close minus open) by effort (volume or price range), smoothing this raw value using a Fibonacci-based EMA. (34 for standard, 55 for crypto; the higher crypto value acknowledges that 24/7 trading offers more hours per week or month than trad markets.) The result is standardized against its rolling deviation and clamped to a range. This score determines the visual tier:
• 💙 Dark Blue = heavy Accumulation (strong upward result on strong effort)
• 🩵 Pale Blue = mild Accumulation
• 🌚 Gray = neutral (low conviction or balance)
• 💛 Pale Yellow = mild Distribution
• 🧡 Deep Yellow = heavy Distribution (strong downward result on strong effort)
The tool is optimized for the 1D chart, where Wyckoff phases are most clearly expressed. However, it adapts well to lower timeframes when used selectively. Traders may hide the body coloring and enable only zone highlighting to preserve other candle overlays such as SUPeR TReND 2.718, which offers directional clarity and trend duration. This combination is especially useful on intraday charts (15m–1H) where microstructure matters but visual clutter must be avoided.
When used alongside other Volume overlays (such as the OBVX Conviction Bias) or Volatility indicators (such as the Asymmetric Turbulence Ribbon (ATR)), this indicator adds confluence to directional setups by contextualizing pressure with Volatility. For example: compression zones marked by ATR may align with persistent pale blue candles—indicating quiet Accumulation before expansion.
Optional Overlays:
Normally ON -
• 📌 Pin Bars , filtered by volume, to isolate wick-dominant reversals from key zones
• 💪🏻 Strong-Body Candles — fuchsia candles w/ high body-to-range ratio reflect conviction
• 🧯 Wick Absorption Candles — red candles w/ long wicks and low closing strength indicate failed pushes or absorbed breakouts
• 🟦/🟧 Zone Highlighting for candles above a defined Accumulation/Distribution threshold
Normally OFF -
• 🔺 Fractals (5-bar) to map swing pivots by underlying pressure tier (normally OFF)
• 🟥/🟩 Engulfing patterns, filtered by directional conviction (normally OFF)
The Pin Bar strategy benefits most from the zone logic—when a bullish pin bar appears in an Accumulation zone (esp. pale or dark blue), and Volume exceeds its rolling average, it may mark a spring or failed breakdown. Conversely, bearish pins in Distribution zones can mark rejection or resistance.
This is not a signal engine—it’s a narrative filter designed to slot cleanly into a multi-layered workflow of visual structure and informed execution. Use it to identify bias and phase. Then deploy trade triggers from tools like SUPeR TReND 2.718, or the liquidity flows shown the The Silver Lining or the AltSeasonality - MTF indicators, for example. The candle colors tell you who’s in control—the other tools tell you when to act.
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format.
Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure.
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🔑 Key Features:
- 📐 ATR-based Supertrend with default multiplier = e (2.718)
- 📉 Dynamic trend line with optional fill beneath price
- ⏳ Trend duration tally label (count-only or full format)
- ⬆️ Higher-timeframe Supertrend overlay (optional)
- 🟢 Directional candle coloring for clarity
- 🟡 Subtle anchor line to guide perception without clutter
- ⚙️ PineScript v6 compliant, efficient and modular
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🧠 Interpretation Guide:
- The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends.
- The shaded fill reflects direction with 70% transparency.
- The trend tally label counts how long the current trend has lasted.
- Candle colors confirm direction without overtaking price action.
- The optional HTF line shows higher-timeframe context.
- A soft yellow anchor line stabilizes the fill relationship without distraction.
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⚙️ Inputs & Controls:
- ✏️ ATR Length – Volatility lookback
- 🧮 Multiplier – Default = 2.718 (Euler's number)
- 🕰️ Higher Timeframe – Choose your bias frame
- 👁️ Show HTF / Main – Toggle each trend layer
- 🧾 Show Label / Simplify – Show trend duration, with or without arrows
- 🎨 Color Candles – Turn directional bar coloring on or off
- 🪄 Show Fill – Toggle the shaded visual rhythm
- 🎛️ All visuals use tuned colors and transparencies for clarity
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🚀 Best Practices:
- ✅ Works on any time frame; shines on 1h v. 1D
- 🔁 Use the HTF line for macro bias filtering
- 📊 Combine with volume or liquidity overlays for edge
- 🧱 Use as a structural base layer with minimalist stacks
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📈 Strategy Tips:
- 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa.
- 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned.
- ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals).
- ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal.
- 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer.
- 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
Supply & Demand Zones
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Supply and Demand Zones
This indicator displays valid Supply and Demand zones on any chart and timeframe, using dynamically updating visuals. Users can see the moment that zones become validated, used, and then invalidated during live sessions. It is sleek, lightweight, and offers a feature-rich settings panel that allows customization of how each element appears and functions. Zones can enhance the probability of successful trades by locating areas that are most likely to contain resting orders of Supply or Demand, which are needed for price reversals.
Disclaimer
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Like all indicators, this can be a valuable tool when incorporated into a comprehensive, risk-based trading system.
Supply and Demand is not the same thing as Support and Resistance.
Trading based on price hitting a zone without understanding which zones are of higher quality and which are of lower quality (only discernible with a trained human eye) will yield poor results.
Supply and Demand works well as a system and even better when added to an existing one. However, like all effective trading techniques, it requires diligent study, practice, and repetition to become proficient. This is an indicator for use with Supply and Demand concepts, not a replacement for learning them.
Features
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Once a valid candle sequence is confirmed, a box will appear that displays the zone over the precise zone range. At 50% zone penetration, a zone becomes used , and at 100% it becomes invalidated . Each of these zone classifications changes the behavior of the zone on the chart immediately. The settings panel offers custom colors for Supply , Demand , Used , and Invalidated zone types.
Borders : The subtle border colors can be changed or hidden.
Boxes or Bases : Advanced users can opt to hide zone boxes and instead display small, subtle tags over base candle groups. This allows for more customizable selection over what is displayed and how.
Max Zones and Hide Invalidated :
There are limitations on how many objects TradingView allows at once. Because of this, once zones go from used to invalidated , they are hidden (deleted) by default. This allows the zones index to be allocated to display more valid , usable zones instead. If a user prefers to keep invalidated zones visible, they can be enabled; however, this will result in showing more recent zones for fewer historical zones.
All zones share one pool, so if you allow fifty max zones, forty-five might be supply while five might be demand on a big sell-off trend. You will always see the most recent zones, regardless of type or status.
It’s up to you how much clutter you want on your screen and how much improved load time you want - but once loaded, zone creation and function are always instantaneous.
Load Time
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Load time refers to the time it takes from when you switch tickers or timeframes before the zones are displayed initially. There is zero lag in the dynamic function and minimal load time, regardless of settings. However, if you are a fine-tuner or multi-screener, the number of Max Zones displayed is the only major variable affecting load time.
I run everything at Max when I develop. When I trade, I run mine at 25 max zones because I change timeframes often and want a very quick display of zones when I do. I have invalidated hidden, and simply enable it if I want to check an old zone. This gives me more zones than I need and reduces the load time to right where I like it.
Thresholds
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It is recommended to leave these as the default.
Base Body Threshold : Determines the maximum ratio of a candle’s body to wick before invalidation. Default (50% or 0.5). A higher number loosens thresholds, resulting in more zones being displayed.
Unrequire 2nd FT if LO is Strong & Strength Multiplier :
The standard logic sequence requires two Follow-Through candles. Under some strong price movement, Leg-Out candles can make an explosive directional move from a base, making a convincing argument for supply and demand perfectly at work, if not for a single Follow-Through candle instead of two.
By enabling this feature, you can tell the script to ignore second Follow-Through candles, if and only if, the Leg-Out candle's range is (Strength) X the base range. exceeds the range of the Base by a factor of X (Strength). ie: At 5x, this would require a Leg-Out range to be 500% the range of the Base.
If enabled and the Leg-Out is not strong enough, the default logic kicks in, and a second follow-through candle will validate the zone as per usual. This loosens thresholds overall and should result in more zones.
Recommended Usage
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Form a thesis using your primary trend trading system (eg: Elliott Wave, Structure Reversal, TheStrat, et al) to identify locations of a pullback for a long or short entry.
Identify a pullback area using your system, then use this indicator to find a high-quality zone on your chosen timeframe.
Once located, draw your own channel over the indicator's zone box. Start on 1m, check for zones, 2m, 3m, and so on. When you see a zone you like, recreate it; thus, when finished, you can see every timeframe’s highest-quality zones that you created, regardless of what timeframe you switch to. Tip: Be selective
To make the process faster, save a channel design in settings for “Demand” and one for “Supply”, then you can quickly get through this process in less than a minute with practice.
Optional: Use additional methods (eg: Fibonacci retracements, Elliott Wave Theory, Anchored VWAPs) to find congruent confirmation.
Version 1.0
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No known bugs remain from the closed beta.
In Development
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Powerful combination zones occur when standard zone sequences are extended with additional levels of demand or supply by adding more conditionals to the state machine logic. Got this mostly working in a dev version and it adds minimal extra resources. Set aside to polish a clean standard 1.0 for release first, but now displaying these extended zones is my top priority for next version.
MTF support is essentially working in a dev copy, but adds resources. Not sure if it is in the spirit of price action being the primary focus of a chart for serious traders, rather than indicators. If there is demand for it, I'll consider it.
Additional Threshold Settings
Thanks!
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Thank you for your interest in my work. This was a personal passion project of mine, and I was delighted it turned out better than I hoped, so I decided to share it. If you have any comments, bugs, or suggestions, please leave them here, or you can find me on Twitter or Discord.
@ ContrarianIRL
Open-source developer for over 25 years
MA CloudThis indicator plots a Moving Average (MA) cloud with ultra-smooth visuals, designed to help traders identify trend direction, momentum, and volatility in a clear and intuitive way.
Features:
Multiple MA types: choose between EMA, SMA, WMA, or RMA
Adaptive cloud width: based on standard deviation of price to visualize volatility
Smoothing controls: post-processed smoothing gives a silky, curved appearance
Multi-Timeframe (MTF) support: default to chart timeframe, or override to any custom timeframe (e.g. 1H, 1D, etc.)
Custom styling: adjustable colours, line thickness, and cloud opacity
Use cases:
Quickly assess trend strength and direction
Use cloud thickness as a volatility proxy
Spot pullback entries during trending conditions
Combine with price action or support/resistance for confluence
Settings:
MA Type – select your preferred moving average method
MA Length – period for the average
Cloud Width Factor – adjusts the distance of the cloud edges
Smoothing Length – softens the output for a polished look
Timeframe – optional override to analyse data from a higher or lower timeframe
Double Bollinger Bands MTF and Price projectionI did this script because I wanted to project prices over future bars quickly because I am a options trader.
Options:
Time frame: Default is Chart
Some times I prefer using 15 m with period 200 on a daily chart in a fast moving market. But you can chose what suites you
BB inner deviation 1 is default
When BB inner deviation=1 the outer will be 2X if its 0.5 outer will be 1
Moving Average type : Default EMA
Project next bar in label Default is off
This will calculate a linear projection of price of each band for the number of bars requested and print them in the label. It does not plot the future values
Using: in a trending market the prices will be generally be between band1 and band 2
and other times between -band1 and +band1. The projection can assist in optimal option strategy. Also in a fast moving market I would use 10 period ema for accurate price projections and others 20
Air Gap MTF with alert settingsWhat it shows:
This indicator will show a horizontal line at a price where each EMAs are on on different time frames, which will remove the effort of having to flick through different time frames or look at different chart.
The lines itself will move in real time as price moves and therefore as the EMA values changes so no need to manually adjustment the lines.
How to use it:
The price gap between each of the lines are known as "air gaps", which are essentially zones price can move with less resistance. Therefore bigger the airgap there is more likely more movement in price.
In other words, where lines are can be a resistance (or support) and can expect price stagnation or rejection.
On the chart it is clear to see lines are acting as resistances/supports.
Key settings:
The time frame are fixed to: 30min, 1hr and 4hr. This cannot be changed as of now.
EMA values for each time frame are user changeable in the settings, and up to 4 different values can be chosen for each time frame. Default is 5,12,34 and 50 for each timeframe.
Line colour, thickness and style can be user adjusted. Start point for where line will be drawn can be changed in the settings, either: start of day, user defined start or across the chart. In case of user defined scenario user can input a number that specifies a offset from current candle.
Label colour, font, alignment, text size and text itself can be user adjusted in the settings. Price can be also displayed if user chooses to do so. Position of label (offset from current candle) is user specified and can be adjusted by the user.
Both the lines and labels can be turned off (both and individually), for each lines.
Alert Settings:
Manually, user can set alerts for when price crosses a specific line.
This can be done by:
right click on any of line
choose first option (add alert on...)
On the second option under condition, use the dropdown menu to choose the desired EMA/timeframe to set alert for.
Hit "create" at bottom right of option
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If anything is not clear please let me know!
Multi-Timeframe Liquidity Zones V6 (Table)Multi-Timeframe Liquidity Zones V6 (Table) Indicator: Functionality and Uses
Overview: The Multi-Timeframe Liquidity Zones V6 (Table) indicator is a technical analysis tool that highlights key volume-based support and resistance levels across multiple timeframes. It leverages volume profile concepts – specifically the Point of Control (POC) and Value Area High/Low (VAH/VAL) – to identify “liquidity zones” where trading activity was heaviest . Unlike a standard single-timeframe volume profile, this indicator compiles data from several timeframes (e.g. monthly, weekly, daily, intraday) and displays the results in a convenient table format on the chart. The goal is to give traders a consolidated view of important price levels (derived from volume concentrations) across different horizons, helping them plan trades with a broader market perspective.
Purpose and Functionality of the Indicator
Multi-Timeframe Analysis: The primary objective of this indicator is to simplify multi-timeframe analysis of volume distribution. Rather than manually checking volume profiles on separate charts for each timeframe, the tool automatically calculates the key levels for each selected timeframe and presents them together. This includes higher-level perspectives (like monthly or weekly volume hotspots) alongside shorter-term levels (daily or hourly), ensuring that traders don’t miss significant zones from any timeframe . By offering a broader perspective on support and resistance levels, multi-timeframe tools help improve risk management and signal confirmation , and this indicator is designed to provide that volume-based perspective at a glance.
Table Format Display: Multi-Timeframe Liquidity Zones V6 (Table) specifically presents the information as a table (as opposed to plotting lines on the chart). Each row in the table typically corresponds to a timeframe (for example, Monthly, Weekly, Daily, 4H, 1H, 30M, 15M), and the columns list the calculated POC, VAH, VAL, and possibly the average volume for that timeframe’s look-back period. By structuring the data in a table, traders can quickly read off the exact price levels of these liquidity zones without having to visually trace lines. This format makes it easy to compare levels across timeframes or note where multiple timeframes’ levels cluster near the same price – a sign of especially strong support/resistance. The indicator uses a user-defined number of bars or length of history for each timeframe to calculate these values (so you can adjust how far back it looks to define the volume profile for each period).
Objective: In summary, the functionality is geared toward identifying high-liquidity price zones across multiple time scales and presenting them clearly. These high-liquidity zones often coincide with areas where price reacts (stalls, reverses, or accelerates) because a lot of trading activity (hence, orders and volume) took place there in the past. The indicator’s objective is to alert the trader to those areas in advance. It effectively answers questions like: “Where are the major volume concentration levels on the 1-hour, daily, and weekly charts right now?” and “Are there overlapping volume-based support/resistance levels from different timeframes around the current price?” By compiling this information, the indicator helps traders incorporate context from multiple timeframes in their decision-making, without needing to flip through numerous charts.
Identifying Liquidity Zones with POC, VAH, and VAL
Liquidity Zones Defined: In market terms, a “liquidity zone” is an area of the chart where a significant amount of trading occurred, meaning high liquidity (many buyers and sellers exchanged volume there). These zones often act as support or resistance because past heavy trading indicates consensus or interest around those price levels. This indicator identifies liquidity zones through volume profile analysis on each timeframe’s recent price action. Essentially, it looks at the distribution of trading volume at different prices over the specified period and finds the value area – the range of prices that encompassed the majority of that volume (commonly around 70% of the total volume ). Within that value area, it pinpoints the Point of Control (POC), which is the single price level that had the highest traded volume (the peak of the volume profile) . The upper and lower boundaries of that high-volume range are marked as Value Area High (VAH) and Value Area Low (VAL) respectively . Together, the VAH and VAL define the liquidity zone where the market spent most of its time and volume, and POC highlights the most traded price in that zone.
• Point of Control (POC): The POC is the price level with the greatest volume traded for the given period. It represents the price at which the most liquidity was exchanged – effectively the market’s “center of gravity” for that timeframe’s trading activity . The indicator calculates the POC for each selected timeframe by scanning the volume at each price; the price with maximum volume is flagged as that timeframe’s POC. In the table, the POC might be highlighted or listed as a key level (sometimes traders color-code it or mark it for emphasis). Because so many positions were opened or closed at the POC, it often serves as a strong support/resistance. For example, if price falls to a major POC from above, traders expect buyers may step in there (since it was a popular buy/sell level historically), potentially causing a bounce. Conversely, if price breaks through a POC decisively, it may signal a significant shift in market acceptance.
• Value Area High (VAH) and Low (VAL): The VAH and VAL are the price boundaries of the value area, which is typically defined to contain about 70% of the total traded volume for the period . In other words, between VAH and VAL is where the “bulk” of trading occurred, and outside this range is where relatively less volume traded. The indicator derives VAH/VAL by accumulating volume from the highest-volume price (POC) outward until ~70% of volume is covered (this is a common method for volume profile value area). VAH is the top of this high-volume region and VAL is the bottom. These levels are important because they often act like support/resistance boundaries: when price is inside the value area, it’s in a high-liquidity zone and tends to oscillate between VAH and VAL; when price moves above VAH or below VAL, it’s leaving the high-volume zone, which can indicate a potential trend or imbalance (price entering a lower-liquidity area where it might move faster until finding the next liquidity zone). Traders watch VAH/VAL for signs of rejection or acceptance: for instance, a price rally that falters at VAH suggests that level is acting as resistance (sellers defending that high-volume area), whereas if price pushes above VAH, it may continue until the next timeframe’s zone or until it finds new interest. The Multi-Timeframe Liquidity Zones V6 indicator gives the VAH and VAL for each timeframe, essentially mapping out the upper and lower bounds of key liquidity zones at those scales.
How the Indicator Identifies These: Under the hood, the indicator likely uses historical price and volume data for each timeframe’s lookback window. For each timeframe (say the last 20 weekly bars for a weekly profile, last 100 daily bars for a daily profile, etc.), it constructs a volume profile (a histogram of volume at each price). From that distribution, it finds the POC (highest volume bin) and calculates VAH/VAL around it. The output is a set of numbers (price levels) that mark where those zones lie. In practice, if using the Lines version of this indicator, those levels are drawn as horizontal lines on the chart and labeled by timeframe (e.g., a line at 1.2345 labeled “D POC” for Daily POC) . In the Table version, those values are instead listed in text form. Either way, the identification process is the same – it’s finding the high-volume price regions on each timeframe and calling them out. By doing this for multiple timeframes concurrently, the indicator reveals how these liquidity zones from different periods relate to each other. For example, you might discover that a daily-chart value area overlaps with a weekly-chart POC, creating a particularly strong zone of interest. This kind of insight is hard to get from a single timeframe analysis alone.
Volume Profile Data Across Multiple Timeframes
Multiple Timeframes in One View: One of the biggest advantages of this indicator is the ability to see volume profile information from various timeframes side by side. Traders often perform multiple timeframe analysis to get a fuller picture — for instance, checking monthly or weekly levels for long-term context while planning a trade on a 4-hour chart. This indicator automates that process for volume-based levels. The table will typically list each chosen timeframe (which could be preset or user-selected). For each timeframe, you get the POC, VAH, VAL, and possibly an average volume metric. The “average volume” likely refers to the average volume per bar or the average volume traded over the profile’s duration for that timeframe, which gives a sense of how significant that period’s activity is. For example, a weekly profile might show an average volume of say 500k per week, versus a daily profile average of 80k per day – indicating the scale of trading on weekly vs daily. High average volume on a timeframe means its liquidity zones were formed with a lot of participation, possibly making them more reliable support/resistance. By comparing these, traders can gauge which timeframes had unusually high or low activity recently. The table format makes such comparisons straightforward.
Identification of Confluence: Because all the data is presented together, traders can quickly spot confluence or overlaps between timeframes. If two different timeframes show liquidity zones at similar price levels, that price becomes extremely noteworthy. For instance, suppose the indicator shows: a 1-hour POC at 1.1300, a 4-hour VAL at 1.1280, and a daily VAL at 1.1290. These are all in a tight range – effectively indicating a multi-timeframe liquidity zone around 1.1280–1.1300. A trader seeing this cluster in the table will recognize that as a strong support area, since multiple profiles from intraday to daily all suggest heavy trading interest there. Similarly, overlaps of VAH (resistance zone) from different timeframes could signal a strong ceiling. The multi-timeframe view prevents a trader from, say, going long into a major weekly POC above, or shorting when there’s a huge monthly value-area low just below – situations where awareness of higher timeframe volume structure can make the difference between a good and bad trade.
User Customization: The indicator is flexible in that you can typically adjust which timeframes to include and how many bars to use for each timeframe’s calculation. For example, one might configure it to calculate monthly levels using the past 12 monthly bars (1 year of data), weekly levels using the past 20 weeks, daily using 100 days, etc., depending on preference. By tuning the “bars count” or period length , the trader can focus on recent liquidity zones or incorporate more history if desired. Shorter lookback might catch more recent shifts in volume distribution (important if the market structure changed recently), while longer lookback gives more established levels. This customization ensures the indicator’s output can be tailored to different trading styles (short-term vs swing vs long-term investing). Regardless of settings, the multi-timeframe table allows simultaneous visibility of the chosen timeframes’ volume landscape. This comprehensive view is the core strength: it consolidates data that normally requires flipping through multiple charts.
Using the Liquidity Zones Data for Trading Decisions
Traders can use the information from the MTF Liquidity Zones V6 (Table) indicator in several practical ways to enhance their decision-making:
• Identify Support and Resistance: Each liquidity zone acts as a potential support or resistance area. For example, if the table shows a daily VAH at a certain level above the current price, that level might serve as resistance if the price rallies up to it (since it marks the top of a high-volume region where sellers might step in). Conversely, a weekly VAL below current price could act as support on a dip. By noting these levels in the table, a trader planning an entry or exit can anticipate where the price might stall or reverse. Essentially, you get a map of high-interest price levels from different timeframes, which you can mark on your trading chart for guidance.
• Plan Entries and Exits Around Key Levels: Many traders incorporate volume profile levels into their strategies, for instance: buying near VAL (betting that the value area will hold and price will revert upward), or selling/shorting near VAH (expecting the top of value to hold as resistance), or trading breakouts when price moves outside the value area. With the multi-timeframe table, one can refine these tactics by also considering higher timeframe levels. Suppose you see that on the 1-hour chart the price is just above its 1H POC, but the table indicates that just slightly above, there’s also the daily POC. You might delay a long entry until price clears that daily POC, because that could be a stronger intraday barrier. Or if you intend to take profit on a long trade, you might choose a target just below a weekly VAH since price may struggle to climb past that on the first attempt. The indicator thus acts as a guide for precision in entry/exit decisions, aligning them with where liquidity is high.
• Gauge Trend Strength and Directional Bias: By observing where current price is relative to these volume zones, traders can infer certain market conditions. For instance, if price is trading above the VAH of multiple timeframes’ value areas, it suggests the market is in a more bullish or overextended territory (price accepted above prior value), whereas if price is below multiple VALs, it’s in bearish or undervalued territory relative to recent history. If the price stays around a POC, it indicates consolidation or equilibrium (market comfortable at that price). Traders can use this context for bias – e.g., if price is above the weekly VAH, you might lean bullish but watch for potential pullbacks to that VAH level (now a support). If price is below the monthly VAL, you might avoid longs until it re-enters that value area. In essence, the liquidity zones provide context of value vs. price: is price trading within the high-volume areas (implying range-bound behavior) or outside them (implying a breakout or trending move)? This can prevent chasing trades at poor locations.
• Combine with Other Indicators/Analysis: It’s generally advised to not use any single indicator in isolation, and this holds true here. The liquidity zones from this indicator are best used alongside price action or other technical signals for confirmation . For example, if a bullish candlestick reversal pattern forms right at a confluence of a 4H VAL and Daily POC, that’s a stronger buy signal than the pattern alone. Or if an oscillator shows overbought exactly as price hits a weekly VAH, it adds conviction to a possible short. The indicator’s table basically gives you a shortlist of critical price levels; you can then watch how price behaves at those levels (via candlesticks, order flow, etc.) to make the final trade decision. Traders might set alerts for when price approaches one of the listed levels, or they might drop down to a lower timeframe to fine-tune an entry once a key zone is reached. By integrating this volume-based insight with trend analysis, chart patterns, or momentum indicators, one can make more informed and high-probability decisions rather than trading in the dark.
• Risk Management and Stop Placement: High-liquidity zones can also inform stop-loss placement. Ideally, you want your stop on the other side of a strong support/resistance. If you go long near a VAL, you might place your stop just below the VAL (since a move beyond that suggests the high-volume zone didn’t hold). If you short near a VAH, a stop just above the VAH or POC could be logical. Moreover, if multiple timeframes show overlapping zones, a stop beyond all of them could be even safer (albeit at the cost of a wider stop). The indicator helps identify those spots. It also warns you of where not to put a stop – for example, placing a stop-loss right at a POC might be unwise because price could gravitate to that POC repeatedly (due to its magnetic effect as a high-volume price). Instead, a trader might choose a stop beyond the far side of the value area. By using the table’s information, you can align your risk management with areas of high liquidity, reducing the chance of being whipsawed by normal volatility around heavily traded levels .
Benefits of the Multi-Timeframe Liquidity Zones Indicator
Using the Multi-Timeframe Liquidity Zones V6 (Table) indicator offers several key benefits for traders, ultimately aiming to streamline analysis and improve decision quality:
• Consolidated Key Levels: It provides a clear, consolidated view of crucial volume-driven levels from multiple timeframes all at once . This saves time and ensures you always account for major support/resistance zones that come from higher or lower timeframe volume clusters. You won’t accidentally overlook a significant weekly level while focused on a 15-minute chart, for example.
• Enhanced Multi-Timeframe Insight: By aligning information from long-term and short-term periods, the indicator helps traders see the “bigger picture” while still operating on their preferred timeframe. This multi-scale awareness can improve trade timing and confidence. You’re effectively doing multi-timeframe analysis with volume profiles in an efficient manner, which can confirm or caution your trade ideas (e.g., a trend looks strong on the 1H, but the table shows a huge monthly VAH just overhead – a reason to be cautious or take profit early).
• Improved Decision Making and Precision: Knowing where liquidity zones lie allows for more precise entries, exits, and stop placements. Traders can make informed decisions such as waiting for a pullback to a value area before entering, or taking profits before price hits a major POC from a higher timeframe. These decisions are grounded in objectively important price levels, potentially leading to higher probability trades and better risk-reward setups. It essentially enhances your strategy by adding a layer of volume context – you’re trading with an awareness of where the market’s interest is heaviest.
• Volume-Based Confirmation: Price alone can sometimes be deceptive, but volume tells the true story of participation. The liquidity zones indicator provides volume-based confirmation of support/resistance. If a price level is identified by this tool, it’s because significant volume happened there – adding weight to that level’s importance. This can help filter out false support/resistance levels that aren’t backed by volume. In other words, it highlights high-quality levels that many traders (and possibly institutions) have shown interest in.
• Adaptable to Different Trading Styles: Whether one is a scalper looking at intraday (15M, 5M charts) or a swing trader focusing on daily/weekly, the indicator can be configured to those needs. You choose which timeframes and how much data to consider. This means the concept of liquidity zones can be applied universally – from spotting intraday pivot levels with volume, to seeing long-term value zones on an investment. The consistent methodology of POC/VAH/VAL across scales provides a common framework to analyze any market and timeframe.
• Informed Risk Management: As discussed, the knowledge of multi-timeframe volume zones aids in risk management. By placing stops beyond major liquidity areas or avoiding trades that run into strong volume walls, traders can reduce the likelihood of whipsaw losses. It’s an extra layer of defense to ensure your trade plan accounts for where the market has historically found lots of interest (hence likely friction). This level of informed planning can be the difference between a well-managed trade and an avoidable loss.
In conclusion, the Multi-Timeframe Liquidity Zones V6 (Table) indicator serves as a powerful analytical aid, giving traders a structured view of where price is likely to encounter support or resistance based on volume concentrations across timeframes. Its functionality centers on identifying those liquidity zones (via POC, VAH, VAL) and presenting them in an easy-to-read format, while its ultimate purpose is to help traders make more informed decisions. By integrating this tool into their workflow, traders can more confidently navigate price action, knowing the objective volume-based landmarks that lie ahead. Remember that while these volume levels often coincide with strong S/R zones, it’s best to use them in conjunction with other technical or fundamental analysis for confirmation . When used appropriately, the indicator can streamline multi-timeframe analysis and enhance your overall trading strategy , giving you an edge in identifying where the market’s liquidity (and opportunity) resides.
Bias TableOverview
The Bias Table Indicator is a multi-timeframe analysis tool designed to provide a quick sentiment overview across multiple timeframes. It combines signals from Moving Averages (MAs) and Oscillators to determine market bias, helping traders make more informed decisions.
Key Features
✔ Multi-Timeframe Analysis (MTF) – Displays market bias across up to five timeframes.
✔ Customizable Signals – Choose whether bias is based on Moving Averages (MAs), Oscillators, or a combination of both.
✔ Visual Table Format – The indicator presents the bias as a color-coded table in the bottom-right corner of the chart for quick reference.
✔ Adjustable Colors & Display Settings – Users can customize colors for different sentiment states (Strong Buy, Buy, Neutral, Sell, Strong Sell).
How It Works
Bias Calculation: The indicator evaluates market conditions using preset values (which can be replaced with actual logic) to determine sentiment for each timeframe.
Multi-Timeframe Support: The table can display bias from hourly to monthly timeframes, giving traders a broader view of market conditions.
Customizable Signals: Users can filter the table to show bias based only on MAs, Oscillators, or a combination of both.
Interpreting the Table
📊 Timeframes: The leftmost column shows selected timeframes (e.g., 1H, 4H, 1D, 1W, 1M).
📈 Signal Columns:
MAs – Bias based on Moving Averages.
Oscillators – Bias based on momentum indicators like RSI, Stochastics, etc.
All – A combined bias based on both MAs & Oscillators.
🚦 Color-Coded Ratings:
🔵 Strong Buy – High bullish strength.
🔹 Buy – Moderate bullish sentiment.
⚪ Neutral – No clear trend.
🔸 Sell – Moderate bearish sentiment.
🔴 Strong Sell – High bearish strength.
Best Used For:
📈 Trend Confirmation: Validate signals from your primary strategy.
⏳ Multi-Timeframe Analysis: See whether short-term and long-term trends align.
⚡ Quick Sentiment Check: Get a high-level view of market conditions without analyzing multiple indicators separately.
Customization Options:
Select which timeframes to include in the table.
Choose whether to base bias on MAs, Oscillators, or both.
Adjust colors for each signal type.
