FVG MagicFVG Magic — Fair Value Gaps with Smart Mitigation, Inversion & Auto-Clean-up
FVG Magic finds every tradable Fair Value Gap (FVG), shows who powered it, and then manages each gap intelligently as price interacts with it—so your chart stays actionable and clean.
Attribution
This tool is inspired by the idea popularized in “Volumatic Fair Value Gaps ” by BigBeluga (licensed CC BY-NC-SA 4.0). Credit to BigBeluga for advancing FVG visualization in the community.
Important: This is a from-scratch implementation—no code was copied from the original. I expanded the concept substantially with a different detection stack, a gap state machine (ACTIVE → 50% SQ → MITIGATED → INVERSED), auto-clean up rules, lookback/nearest-per-side pruning, zoom-proof volume meters, and timeframe auto-tuning for 15m/H1/H4.
What makes this version more accurate
Full-coverage detection (no “missed” gaps)
Default ICT-minimal rule (Bullish: low > high , Bearish: high < low ) catches all valid 3-candle FVGs.
Optional Strict filter (stricter structure checks) for traders who prefer only “clean” gaps.
Optional size percentile filter—off by default so nothing is hidden unless you choose to filter.
Correct handling of confirmations (wick vs close)
Mitigation Source is user-selectable: high/low (wick-based) or close (strict).
This avoids false “misses” when you expect wick confirmations (50% or full fill) but your logic required closes.
State-aware labelling to prevent misleading data
The Bull%/Bear% meter is shown only while a gap is ACTIVE.
As soon as a gap is 50% SQ, MITIGATED, or INVERSED, the meter is hidden and replaced with a clear tag—so you never read stale participation stats.
Robust zoom behaviour
The meter uses a fixed bar-width (not pixels), so it stays proportional and readable at any zoom level.
Deterministic lifecycle (no stale boxes)
Remove on 50% SQ (instant or delayed).
Inversion window after first entry: if price enters but doesn’t invert within N bars, the box auto-removes once fully filled.
Inversion clean up: after a confirmed flip, keep for N bars (context) then delete (or 0 = immediate).
Result: charts auto-maintain themselves and never “lie” about relevance.
Clarity near current price
Nearest-per-side (keep N closest bullish & bearish gaps by distance to the midpoint) focuses attention where it matters without altering detection accuracy.
Lookback (bars) ensures reproducible behaviour across accounts with different data history.
Timeframe-aware defaults
Sensible auto-tuning for 15m / H1 / H4 (right-extension length, meter width, inversion windows, clean up bars) to reduce setup friction and improve consistency.
What it does (under the hood)
Detects FVGs using ICT-minimal (default) or a stricter rule.
Samples volume from a 10× lower timeframe to split participation into Bull % / Bear % (sum = 100%).
Manages each gap through a state machine:
ACTIVE → 50% SQ (midline) → MITIGATED (full) → INVERSED (SR flip after fill).
Auto-clean up keeps only relevant levels, per your rules.
Dashboard (top-right) displays counts by side and the active state tags.
How to use it
First run (show everything)
Use Strict FVG Filter: OFF
Enable Size Filter (percentile): OFF
Mitigation Source: high/low (wick-based) or close (stricter), as you prefer.
Remove on 50% SQ: ON, Delay: 0
Read the context
While ACTIVE, use the Bull%/Bear% meter to gauge demand/supply behind the impulse that created the gap.
Confluence with your HTF structure, sessions, VWAP, OB/FVG, RSI/MACD, etc.
Trade interactions
50% SQ: often the highest-quality interaction; if removal is ON, the box clears = “job done.”
Full mitigation then rejection through the other side → tag changes to INVERSED (acts like SR). Keep for N bars, then auto-remove.
Keep the chart tidy (optional)
If too busy, enable Size Filter or set Nearest per side to 2–4.
Use Lookback (bars) to make behaviour consistent across symbols and histories.
Inputs (key ones)
Use Strict FVG Filter: OFF(default)/ON
Enable Size Filter (percentile): OFF(default)/ON + threshold
Mitigation Source: high/low or close
Remove on 50% SQ + Delay
Inversion window after entry (bars)
Remove inversed after (bars)
Lookback (bars), Nearest per side (N)
Right Extension Bars, Max FVGs, Meter width (bars)
Colours: Bullish, Bearish, Inversed fill
Suggested defaults (per TF)
15m: Extension 50, Max 12, Inversion window 8, Clean up 8, Meter width 20
H1: Extension 25, Max 10, Inversion window 6, Clean up 6, Meter width 15
H4: Extension 15, Max 8, Inversion window 5, Clean up 5, Meter width 10
Notes & edge cases
If a wick hits 50% or the far edge but state doesn’t change, you’re likely on close mode—switch to high/low for wick-based behaviour.
If a gap disappears, it likely met a clean up condition (50% removal, inversion window, inversion clean up, nearest-per-side, lookback, or max-cap).
Meters are hidden after ACTIVE to avoid stale percentages.
Search in scripts for "RSI MACD"
Volume + MA5 & MA10This Volume + MA5 & MA10 (Technical Volume Trend Analysis)
The Volume + MA5 & MA10 indicator provides a precise view of market participation and volume momentum by combining raw volume data with two moving averages (MA5 and MA10). It’s designed for traders who rely on volume-based confirmation to validate price movements, breakouts, and trend reversals.
🔍 Overview
This indicator displays volume bars alongside two smooth volume averages — MA5 (short-term) and MA10 (medium-term) — making it easier to detect shifts in market activity.
When the short-term average crosses above or below the long-term average, it signals a potential change in trading intensity or market sentiment.
⚙️ Key Features
Dual Volume Moving Averages (MA5 & MA10) for short- and medium-term analysis.
Dynamic Bar Coloring based on whether current volume exceeds MA5 or MA10.
Crossover Detection with visual markers for MA5/MA10 intersections.
Alert Conditions to notify you of significant volume trend shifts.
Fully customizable appearance and smoothing options.
📊 How to Interpret
MA5 > MA10 → Increasing short-term volume activity (strengthening momentum).
MA5 < MA10 → Decreasing short-term volume (weakening participation).
Rising volume with price → Confirms trend strength.
Falling volume with rising/falling price → Suggests potential reversal or reduced conviction.
💡 Applications
Confirm breakouts and trend continuations.
Identify momentum divergences between price and volume.
Filter out low-volume or weak-trend setups.
Combine with RSI, MACD, or moving averages for enhanced signal validation.
✅ Advantages
Simple yet powerful structure for clean visual analysis.
Works across all timeframes and markets (crypto, stocks, forex, indices).
No repainting — reliable for both live and historical backtesting.
Use Volume + MA5 & MA10 to strengthen your technical analysis and gain a deeper understanding of how market participation drives price trends.
Trendly Signals📈 Trendly Signals - Multi- Mode Signal Engine for Smarter Entries
This is my first attempt at creating an indicator to support newer traders - especially those who don’t have much screen time or charting experience - by offering clearer, easier-to-follow buy/sell signals. Trendly Signals is built on the solid foundation of Trend Indicator A- V2 by DZIV , which provided reliable trend visualization.
Trendly stands for Trend-Friendly - a name chosen to reflect its goal: making trend-based trading more approachable, intuitive, and practical. Built on the solid foundation of Trend Indicator A-V2 by DZIV (credited), Trendly Signals takes the original concept much further, transforming it into a full-featured signal engine designed for real- world trading decisions. It introduces actionable entry/exit signals, dynamic filtering, and user-friendly customization - features that aim to make trading more intuitive and practical for those who want clarity and confidence without spending hours on chart analysis.
🔍 Signal Modes Explained
You can choose between two main signal engines depending on your trading style:
🧠 Pulse Mode
• Uses raw trend flips to generate frequent signals
• Best suited for active traders who want more entries and faster feedback
🧘 Zen Mode
• Applies multiple filters (RSI, MACD slope, candle structure, and higher timeframe trend alignment)
• Designed for those who prefer fewer, higher-conviction trades
✨ One of the most powerful upgrades in Trendly Signals is the ability to view both Pulse and Zen modes together on the same chart.
This lets you compare aggressive vs conservative signals in real time - a feature not available in the original script and rarely found in other free-to-use indicators. It’s especially helpful for learning how different strategies behave under various market conditions.
🧭 Trade Mode (Experimental)
This optional feature spaces out signals based on your preferred trading style:
• Scalping: tighter spacing, more signals
• Swing: moderate spacing
• HODL: wider spacing, fewer signals
It also adjusts cooldown periods and minimum price movement thresholds to help reduce noise and avoid overtrading.
⚠️ Note: Trade Mode currently works only with Zen signals. Pulse signals are focused on raw trend flips and are not filtered through Trade Mode logic.
📊 Built- In Backtest Table
Want to see how it performs? The backtest table displays:
• Total trade count
• Win rate
• Signal engine used (Pulse or Zen)
This helps you quickly evaluate performance across different timeframes and modes - no external tools needed.
🎨 Customization Tips
Make the signals work for you:
1. Choose your mode: Pulse for frequent signals, Zen for filtered entries
2. Set your trading style: Trade Mode adapts signal spacing for scalping, swing, or long- term holding
3. Adjust filters: Use cooldown bars, minimum price movement, and signal repetition settings to fine- tune your entries
4. Pick your visuals: Choose between triangle or label styles, and customize signal colours for better clarity
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⚠️ Important Notes
• Chart Type: Standard candles are recommended for the most realistic signal behaviour, but the signals also work fine with other chart types like Heiken Ashi or Renko
• Clean Chart: For best results, apply Trendly Signals on a chart without overlapping indicators
• Credit: Original concept by DZIV (Trend Indicator A- V2) . This version builds on it with new logic, multi- mode signal engines, and adaptive filtering
Fusion Screener📘 Fusion Screener (MA + Oscillator + Range Breakout + Angle Filter + Trailing Alerts)
The Fusion Screener is a technical-analysis study that combines multiple indicator categories into one framework.
It evaluates moving-average alignment, oscillator conditions, range separation, and angle thresholds, and it optionally issues time- or structure-based trailing alerts.
The script is intended for screening and chart-based analysis, not for generating trading or investment advice.
🔧 Main Components
Moving-Average Votes – Calculates five moving averages (10 – 200 periods) on a selected analysis timeframe and counts how many are positioned above or below the current price.
Oscillator Votes – Evaluates RSI, MACD, and Momentum on the same timeframe and counts bullish or bearish readings.
Higher-Timeframe Filter – Optionally checks the relationship between price and an EMA on a higher timeframe to provide directional context.
Range-Breakout Logic – Compares two customizable moving averages and determines whether price has moved outside a defined separation threshold.
Angle Filter – Estimates the slope (in degrees) of a chosen moving average and filters conditions that do not meet the minimum angle requirement.
Trailing Alerts – Generates optional time-based or structure-based reminder alerts after entries occur, according to user-defined intervals or pivot behavior.
⚙️ User Inputs
Analysis Timeframe – Selects the timeframe used for MA and oscillator calculations.
Min MA Votes / Min Oscillator Votes – Minimum number of bullish or bearish readings required to satisfy each group.
Higher-Timeframe Confirmation – Enables or disables the directional EMA filter from a separate timeframe.
Range MA Type / Lengths / Threshold – Parameters controlling the range-breakout comparison.
Angle Filter Settings – Type, length, slope-lookback, and minimum angle (degrees).
Trailing Alerts – Options for bar-based or structure-based trailing reminders, including repetition behavior and pivot lookback length.
Show Signals – Toggles on-chart markers for informational visualization.
🖥️ Outputs
On-chart shapes marking informational “buy,” “strong buy,” “sell,” and “strong sell” conditions when corresponding criteria are met.
Exit markers when prior conditions no longer hold.
Flags when time- or structure-based trailing alerts are triggered.
Built-in alert conditions that can be linked through the TradingView alert interface.
📊 Technical Notes
Uses request.security() for multi-timeframe data retrieval.
Does not repaint past bars once higher-timeframe candles have closed.
Intended for monitoring the coexistence of several technical factors within a single script.
No part of this study constitutes financial or trading advice; it provides analytical data for chart observation only.
XAU_VladevXAUUSD EMA-RSI-MACD ATR Strategy that analyse the chart and by combining Oscillators, EMA's and trend way, strategy creates exact StopLoss and TakeProfit areas
Ekoparaloji Trend CandlesEkoparaloji Trend Following Candles
🎯 What Does It Do?
This indicator is a candle coloring system that helps you easily identify trend direction. Complex calculations run in the background, and you simply follow the candle colors to understand trend strength.
🎨 How to Use
Read the Candle Colors:
🟢 GREEN CANDLES → Strong uptrend
Look for buying opportunities
Hold your long positions
🔴 RED CANDLES → Strong downtrend
Look for selling opportunities
Consider short positions
Color changes → Potential trend reversal signal
Review your positions
📈 Important: The White Line
The line on the chart is a dynamic support/resistance level:
Price above the line → Bullish zone
Price below the line → Bearish zone
⚙️ Customize Settings
You can adjust 4 parameters in the indicator settings:
Faster signals → Decrease periods (e.g., 20)
Smoother signals → Increase periods (e.g., 50)
Tip: Start with default settings, then optimize for your trading style.
💡 Strategy Tips
✅ Green to red transition → Take profit or exit signal
✅ Red to green transition → Look for entry opportunities
✅ Confirm with other indicators (RSI, MACD, volume, etc.)
✅ Always use stop-loss orders
⚠️ Warning!
No indicator is 100% accurate
Don't trade based solely on this indicator
Risk management should always be your priority
For educational purposes only, not financial advice
Happy trading! 📊
[ZP] Fixed v6 testDISCLAIMER:
This indicator in Pine V6 as my first ever Tradingview indicator, has been developed for my personal trading analysis, consolidating various powerful indicators that I frequently use. A number of the embedded indicators within this tool are the creations of esteemed Pine Script developers from the TradingView community. In recognition of their contributions, the names of these developers will be prominently displayed alongside the respective indicator names. My selection of these indicators is rooted in my own experience and reflects those that have proven most effective for me. Please note that the past performance of any trading system or methodology is not necessarily indicative of future results. Always conduct your own research and due diligence before using any indicator or tool.
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Introducing the ultimate all-in-one DIY strategy builder indicator, With over 30+ famous indicators (some with custom configuration/settings) indicators included, you now have the power to mix and match to create your own custom strategy for shorter time or longer time frames depending on your trading style. Say goodbye to cluttered charts and manual/visual confirmation of multiple indicators and hello to endless possibilities with this indicator.
Available indicators that you can choose to build your strategy, are coded to seamlessly print the BUY and SELL signal upon confirmation of all selected indicators:
EMA Filter
2 EMA Cross
3 EMA Cross
Range Filter (Guikroth)
SuperTrend
Ichimoku Cloud
SuperIchi (LuxAlgo)
B-Xtrender (QuantTherapy)
Bull Bear Power Trend (Dreadblitz)
VWAP
BB Oscillator (Veryfid)
Trend Meter (Lij_MC)
Chandelier Exit (Everget)
CCI
Awesome Oscillator
DMI ( Adx )
Parabolic SAR
Waddah Attar Explosion (Shayankm)
Volatility Oscillator (Veryfid)
Damiani Volatility ( DV ) (RichardoSantos)
Stochastic
RSI
MACD
SSL Channel (ErwinBeckers)
Schaff Trend Cycle ( STC ) (LazyBear)
Chaikin Money Flow
Volume
Wolfpack Id (Darrellfischer1)
QQE Mod (Mihkhel00)
Hull Suite (Insilico)
Vortex Indicator
Inverse VIX / Custom Inverse Line🎯 Main Idea
This indicator creates a line that moves opposite to the VIX (Volatility Index) — or any symbol you choose.
When VIX rises (fear increases), → this line goes down.
When VIX falls (market calm), → this line goes up.
It helps you visually understand market sentiment — calm periods (bullish) vs fear periods (bearish).
⚙️ Input Settings
Setting Description
Symbol to invert The symbol to invert. Default is CBOE:VIX.
Inverse mode The method used to invert the values. There are 3 options:
① Negate Simply flips the sign (multiplies by -1). Very straightforward.
② Reciprocal Uses the mathematical inverse (1 ÷ value). High values become smaller, and vice versa.
③ Inverse Normalized The most useful mode 🔥 — normalizes values between 0–100 and flips them, similar to an RSI.
Normalization lookback How many bars to use for normalization (default 252 = roughly one trading year).
Smoothing (SMA) Number of bars for smoothing (makes the line smoother).
Use log for reciprocal Uses logarithmic scaling to stabilize big swings.
Plot color / width Customize the line’s color and thickness.
Show original source If enabled, shows the original VIX line for comparison.
📈 How It Works
The script fetches the close price of the VIX (or your chosen symbol).
It applies the selected inversion method.
The inverted line is plotted on the chart.
In “Inverse Normalized” mode:
The range is 0–100.
Values above 75 = high optimism (market often overheated).
Values below 25 = high fear (potential buying opportunity).
A middle line at 50 marks neutral sentiment.
⚠️ Alerts
The indicator includes two default alerts when using “Inverse Normalized” mode:
🔔 Above 75: Market showing strong optimism (potential top or correction zone).
🔔 Below 25: Market showing fear (potential bottom or buy signal).
🧠 How to Use It
Use it on daily or weekly charts for clearer signals.
Compare it with SPX or NASDAQ:
When the Inverse VIX line rises, markets often go up.
When it falls, markets usually drop or consolidate.
Combine it with other indicators (e.g., RSI, MACD) for confirmation.
Bull Market Support Band (20W SMA + 21W EMA)🟩 Bull Market Support Band (20W SMA + 21W EMA)
OVERVIEW
The Bull Market Support Band is a long-term trend indicator that combines the 20-week SMA and 21-week EMA.
When price is above the band → bullish trend.
When below → bearish trend.
When within → neutral or transition phase.
This v6 version adds full customization, dynamic coloring, event labels, candle coloring, and a configurable on-chart legend table with trend arrows.
HOW IT WORKS
Calculates the 20W SMA and 21W EMA from a user-selectable higher timeframe (weekly by default).
Plots both averages and shades the area between them to form the support band.
The fill and line colors change automatically based on the market phase:
🟩 Green = Bullish (price above)
🟥 Red = Bearish (price below)
⬜ Gray = Neutral (price within).
Labels appear only when the trend state changes.
Alerts trigger when price crosses the band or either moving average.
Optional candle coloring applies the same bull/bear/neutral logic to price bars.
A convenience legend table displays current 20W SMA and 21W EMA values, along with slope arrows (^, v, =).
INCLUDED FEATURES
Configurable calculation timeframe.
Automatic band fill and line coloring.
Optional candle coloring overlay.
Compact or detailed regime-change labels.
ATR-based label offset and spacing control.
Customizable legend table with background color.
Horizontal or vertical legend layout.
Custom arrow characters (ASCII or Unicode).
Built-in alerts for band and MA crosses.
Optimized for higher-timeframe accuracy using request.security().
USAGE TIPS
Keep the default weekly setting for macro trend context.
On lower chart timeframes, use the band as higher-level support/resistance.
Combine with momentum or volume indicators (RSI, MACD, OBV) for confirmation.
Adjust ATR multiplier to move labels further from price candles.
Increase “Min bars between labels” to reduce visual clutter.
Disable auto-coloring if you prefer a static color theme.
Toggle compact legend or switch between horizontal/vertical layouts for best fit.
INTERPRETATION GUIDE
🟩 Bullish: Price above the band → trend continuation likely.
⬜ Neutral: Price within the band → consolidation or potential reversal zone.
🟥 Bearish: Price below the band → downtrend continuation or distribution.
Sustained closes above or below the band typically align with major market cycle shifts.
NOTES
Uses request.security() for higher-timeframe precision — accurate even on smaller charts.
The legend table is screen-anchored and remains fixed as you pan or zoom.
Plots and labels are price-anchored and move with candles.
Lightweight and efficient for all markets and intervals.
CREDITS
Original concept: The Bull Market Support Band (popularized in crypto analysis).
Enhanced Pine Script v6 version: Ricco .
Modernized for clarity, flexibility, and multi-timeframe accuracy.
SUMMARY
A modern, customizable Bull Market Support Band indicator highlighting long-term market regimes with clean visuals, color logic, and convenience features.
Designed for traders seeking macro clarity, minimal clutter, and professional presentation.
EMA 9, 21 & 50 Indicator with Floating Labels🟢 EMA 9, 21 & 50 Indicator with Floating Labels
📘 Overview
This indicator plots three exponential moving averages (EMAs) to visualize short-, medium-, and longer-term trend structure on any timeframe:
EMA 9 – Bright Green (short-term momentum)
EMA 21 – Bright Yellow (medium-term trend)
EMA 50 – Red (broader trend confirmation)
Each EMA has a floating label on the right edge of the chart, so line identities remain visible as new candles form.
🪶 Features
Clear, fixed colors for easy recognition (Green 9 / Yellow 21 / Red 50)
Floating labels that stay visible off the right edge
Clean overlay compatible with any chart style
Lightweight and fast to render
📈 How to Use
Trend Filter:
Price above 21 & 50 → bullish bias; look for long setups or pullbacks toward the 9/21.
Price below 21 & 50 → bearish bias; look for short setups or rallies into 9/21.
Momentum vs. Structure:
9 EMA = momentum guide for quick swings.
21 EMA = primary trend line for swing entries/exits.
50 EMA = confirmation of broader direction.
🔧 Tips
Analyze trend on Daily or 4H; fine-tune entries on 1H/15m near the 9 or 21 EMA.
Pair with volume or RSI/MACD for extra confirmation at EMA touches/crosses.
HM2 - Murrey Math Levels# Murrey Math Indicator - Comprehensive Description
## **What is Murrey Math?**
Murrey Math is a trading system developed by T.H. Murrey that divides price action into 8 equal segments (octaves) based on Gann and geometry principles. It automatically identifies key support and resistance levels where price is likely to react, making it a powerful tool for determining entry/exit points and price targets.
## **How It Works**
The indicator:
1. **Analyzes price history** over a lookback period (default 64-200 bars)
2. **Finds the highest high and lowest low** in that period
3. **Calculates a "fractal"** - a geometric scaling factor based on price magnitude
4. **Creates 8 equal divisions** between key levels, plus 4 overshoot levels (total 13 levels)
5. **Labels each level** from -2/8 to +2/8 with their trading significance
## **The 13 Murrey Math Levels**
### **Core Levels (0/8 to 8/8):**
- ** - Ultimate Support** (Blue)
- Extreme oversold condition
- Strong buying opportunity
- Price rarely breaks below this
- ** - Weak, Stall & Reverse** (Orange)
- Weak support level
- Price often stalls and reverses here
- ** - Pivot/Reverse Level** (Red)
- Major support that can become resistance
- Important reversal zone
- ** - Bottom of Trading Range - BUY Zone** (Green)
- Bottom boundary of normal trading
- **Premium BUY zone** - 40% of trading happens between 3/8 and 5/8
- ** - Major Support/Resistance** (Blue)
- **THE MOST IMPORTANT LEVEL**
- The midpoint - best entry/exit level
- Strong pivot point that price respects
- ** - Top of Trading Range - SELL Zone** (Green)
- Top boundary of normal trading
- **Premium SELL zone**
- ** - Pivot/Reverse Level** (Red)
- Major resistance that can become support
- Important reversal zone
- ** - Weak, Stall & Reverse** (Orange)
- Weak resistance level
- Price often stalls and reverses here
- ** - Ultimate Resistance** (Blue)
- Extreme overbought condition
- Strong selling opportunity
- Price rarely breaks above this
### **Overshoot Levels:**
- ** & ** (Gray) - Extreme downside overshoot zones
- ** & ** (Gray) - Extreme upside overshoot zones
- These indicate extreme moves beyond normal trading ranges
## **Trading Zones (from your diagram)**
1. **Consolidation Trading Area** (0/8 to 3/8)
- Price is in a bearish zone
- Look for BUY opportunities near support levels
2. **Normal Trading Area** (3/8 to 5/8)
- **40% of trading occurs here**
- Price oscillates between these boundaries
- Range-bound trading strategies work best
3. **Premium Trading Area** (5/8 to 8/8)
- Price is in a bullish zone
- Look for SELL opportunities near resistance levels
## **Trading Strategies**
### **Buy Signals:**
- Price bounces off 0/8 (ultimate support)
- Price pulls back to 3/8 in an uptrend
- Price breaks above 4/8 after consolidation
### **Sell Signals:**
- Price rejects at 8/8 (ultimate resistance)
- Price rallies to 5/8 in a downtrend
- Price breaks below 4/8 after consolidation
### **Range Trading:**
- Buy near 3/8, sell near 5/8 when price is ranging
- Use 4/8 as the pivot to determine trend direction
## **Key Advantages**
✅ **Objective levels** - No subjective placement
✅ **Self-adjusting** - Automatically recalculates based on recent price action
✅ **Clear trading zones** - Easy to identify support/resistance
✅ **Works on all timeframes** - From 1-minute to monthly charts
✅ **Combines with other indicators** - Works well with RSI, MACD, etc.
## **Important Notes**
- The indicator is **dynamic** - levels update as new highs/lows form
- **4/8 is the most critical level** - price above = bullish, below = bearish
- When price reaches overshoot levels (±1/8, ±2/8), expect strong reversals
- Works best in trending markets; can give false signals in choppy conditions
This geometric approach to support/resistance has been used by traders for decades and remains popular due to its objective, mathematical nature!
Trendoman Indicator Trendoman "Trading Signals" indicator
This is our first indicator that will give signals for buying and selling (With the possibility of setting (Alert). The indicator is optimized for the senior TF (1D and 4h). Signals are given automatically after the closing of the candle.
This indicator combines oscillators (Stochastic, RSI, MACD), adds EMA (50,100,200) to determine the local and medium-term trend, and adds certain conditions (Formulas) to determine entry points and signal generation.
This is the first version of the indicator, and it will be improved and updated. This indicator is provided for informational purposes only.
Индикатор Trendoman "Торговые сигналы"
What does it do and how to use it?
This script was written for me, so I made it for my main timeframe, which is 1D. This is the timeframe I tested it on (Russian and US stock market)
When adding the indicator to the chart, open the daily timeframe (1D).
What will we see?
⚫️BUY or SELL signals on the chart. They appear after the closing of the trading day candlestick, therefore, as soon as you see this signal, you can open a trade (In the settings, you can use (Alert Notification) so that when the signal appears, a notification is triggered on a specific instrument.
⚫️Notification preparation "Prep" on the chart. THIS IS NOT A SIGNAL, it is a regular notification when the price enters the overbought or oversold zone. We use this to set Take-Profit and Stop-lose, as well as to understand that it is dangerous to buy in the overbought zone, and to sell in the oversold zone. If you do not need them, you can disable them in the settings.
⚫️The line in the middle. This is a moving average, which shows the direction of the trend (In the settings
Stop-lose and Take-Profit
Trying to build into this indicator the ability to automatically set Stop-lose and Take-Profit did not lead to anything. The main problems are completely different situations at the time of the signal (Mathematically it is not calculated). Have to count yourself.
To set Stop-lose after the signal.
1. Look at the previous local minimum (If the signal is to buy or local maximum (If the signal is to sell). It can be the body of a candle, the shadow of a candle, or a specific level. The stop is always placed below this level, range, or local minimum or maximum.
To set the Take-Profit after the signal is given. There are several options.
1. Mark the levels. Look at an important support or resistance range, fix part of the position at the level, and set the stop for the remainder at breakeven (Entry Price)
2. Make a risk of 1 to 1. If you do not define levels and markup well, then after changing the Stop-lose, you can put the first take on the same%. Example:
Stop-lose и Take-Profit
When you can't open a position EVEN if the indicator shows a signal.
⚫️ If the indicator shows a signal (BAY or SELL), and the signal candle or the previous one opens with a gap. CANCELLED SIGNAL.
⚫️ If the signal candle has a large impulse (down or up). It's very easy to check, take the last 10 candles, if it's higher than the average, it's better to skip this signal (long stop)
⚫️Illiquid instruments. The second and third echelons are often pumped by market participants. Indicators and candles do not work stably. Do not trade illiquid instruments using this indicator.
Risk management.
As noted above, it is impossible to calculate the exact Stop-lose and Take-Profit mathematically, as each situation is unique (levels, highs, lows, slopes, etc. differ).
If you see that your Take-Profit is less than your Stop-lose, it is best to ignore such a trade (depending on your risk tolerance).
Try to open trades where the Take-Profit is greater than the Stop-lose.
Volume Based Sampling [BackQuant]Volume Based Sampling
What this does
This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition:
Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold.
Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold.
The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison.
Why event-based sampling matters
Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular:
Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds.
The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds.
Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks.
How the indicator works (plain English)
Choose your bucket type
Volume : accumulate volume until it meets a threshold.
Dollar Bars : accumulate close × volume until it meets a dollar threshold.
Pick the threshold rule
Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars).
Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar).
Build the synthetic bar
While a bucket fills, the script tracks:
o_s: first price of the bucket (synthetic open)
h_s: running maximum price (synthetic high)
l_s: running minimum price (synthetic low)
c_s: last price seen (synthetic close)
v_s: cumulative native volume inside the bucket
d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled)
Emit a new sample
Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity.
Maintain a rolling history efficiently
A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable.
Compute synthetic-space statistics
The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time.
Inputs and options you will actually use
Data Settings
Sampling Method : Volume or Dollar Bars.
Rolling Lookback : window used to estimate the dynamic threshold from recent activity.
Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes.
Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target.
Max Stored Samples : cap on synthetic history to keep performance snappy.
Use Ring Buffer : turn on to recycle storage when at capacity.
Indicator Settings
SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes.
Visuals
Show Synthetic Bars : plot the synthetic OHLC candles.
Candle Color Mode :
Green/Red: directional close vs open
Volume Intensity: opacity scales with synthetic size
Neutral: single color
Adaptive: graded by how large the bucket was relative to threshold
Mark new samples : drop a small marker whenever a new synthetic bar prints.
Comparison & Research
Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ.
How to read it, step by step
Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars.
Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information.
Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility.
Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument.
Quant finance background and citations
Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars.
Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management.
AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca )
Practical use cases
1) Regime-aware moving averages
The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation.
2) Breakout logic on “equal-information” samples
The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets.
3) Volatility-adaptive backtests
If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream).
4) Regime diagnostics
Avg Bars per Sample trending down: activity is dense; expect larger realized ranges.
Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk.
Interpreting the info panel
Method : your sampling choice and current threshold.
Total Samples : how many synthetic bars have been formed.
Current Vol/Dollar : how much of the next bucket is already filled.
Bars in Bucket : native bars consumed so far in the current bucket.
Avg Bars/Sample : lower means higher trading intensity.
Avg Return / Return StdDev : return stats computed over synthetic closes .
Research directions you can build from here
Imbalance and run bars
Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets
Volume-time indicators
Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes.
Liquidity and toxicity overlays
Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated.
Dollar-risk parity sampling for portfolios
Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering.
Microstructure feature set
Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca )
Tips for clean usage
Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale.
Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time.
Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Price–MA Separation (Z-Score)Price–MA Separation (Z-Score + Shading)
This indicator measures how far price is from a chosen moving average and shows it in a separate pane.
It helps traders quickly spot overextended moves and mean-reversion opportunities.
⸻
What it does
• Calculates the separation between price and a moving average (MA):
• In Points (Price − MA)
• In Percent ((Price / MA − 1) × 100%)
• Converts that separation into a Z-Score (statistical measure of deviation):
• Z = (Separation − Mean) ÷ StdDev
• Highlights when price is unusually far from the MA relative to its recent history.
⸻
Visuals
• Histogram bars:
• Green = above the MA,
• Orange = below the MA.
• Intensity increases with larger Z-Scores.
• Zero line: red baseline (price = MA).
• Z threshold lines:
• +T1 = light red (mild overbought)
• +T2 = dark red (strong overbought)
• −T1 = light green (mild oversold)
• −T2 = dark green (strong oversold)
• Default thresholds: ±1 and ±2.
⸻
Settings
• MA Type & Length: Choose between SMA, EMA, WMA, VWMA, or SMMA (RMA).
• Units: Show separation in Points or Percent.
• Plot Mode:
• Raw = distance in points/percent.
• Z-Score = standardized deviation (default).
• Absolute Mode: Show only magnitude (ignore direction).
• Smoothing: Overlay a smoothed line on the histogram.
• Z-Bands: Visual guides at ± thresholds.
⸻
How to use
• Look for large positive Z-Scores (red zones): price may be stretched far above its MA.
• Look for large negative Z-Scores (green zones): price may be stretched far below its MA.
• Use as a mean-reversion signal or to confirm trend exhaustion.
• Works well with:
• Swing entries/exits
• Overbought/oversold conditions
• Filtering other signals (RSI, MACD, VWAP)
⸻
Notes
• Z-Scores depend on the lookback window (default = 100 bars). Adjust for shorter/longer memory.
• Strong deviations don’t always mean reversal—combine with other tools for confirmation.
• Not financial advice. Always manage risk.
⸻
Try adjusting the MA length and Z-Score thresholds to fit your trading style.
Enhanced Chande Momentum OscillatorEnhanced Chande Momentum Oscillator (Enh CMO)
📊 Description
The Enhanced Chande Momentum Oscillator is an advanced version of the classic Chande Momentum Oscillator with dynamic envelope boundaries that automatically adapt to market volatility. This indicator provides clear visual signals for potential price reversals and momentum shifts.
Key Features:
Original Chande Momentum Oscillator calculation
Dynamic upper and lower boundaries based on statistical analysis
Adaptive envelope that adjusts to market volatility
Visual fill area between boundaries for easy interpretation
Real-time values table with current readings
Built-in alert conditions for boundary touches
Customizable moving average types (SMA, EMA, WMA)
⚙️ Settings
CMO Settings:
CMO Length (9): Period for calculating the base Chande Momentum Oscillator
Source (close): Price source for calculations
Envelope Settings:
Envelope Length (20): Lookback period for calculating the moving average and standard deviation
Envelope Multiplier (1.5): Multiplier for standard deviation to create upper/lower bounds
Moving Average Type (EMA): Type of moving average for envelope calculation
📈 How to Use
Visual Elements
Lines:
White Line: Main Chande Momentum Oscillator
Red Line: Upper boundary (resistance level)
Green Line: Lower boundary (support level)
Yellow Line: Moving average of CMO (trend direction)
Purple Fill: Visual envelope between boundaries
Reference Lines:
Zero Line: Neutral momentum level
+50/-50 Lines: Traditional overbought/oversold levels
Trading Signals
🔴 Sell/Short Signals
CMO touches or crosses above upper boundary → Potential bearish reversal
CMO is above +50 and declining → Weakening bullish momentum
CMO crosses below yellow MA line while above zero → Momentum shift
🟢 Buy/Long Signals
CMO touches or crosses below lower boundary → Potential bullish reversal
CMO is below -50 and rising → Weakening bearish momentum
CMO crosses above yellow MA line while below zero → Momentum shift
⚡ Advanced Signals
Boundary contraction → Decreasing volatility, potential breakout coming
Boundary expansion → High volatility period, use wider stops
CMO hugging upper boundary → Strong uptrend continuation
CMO hugging lower boundary → Strong downtrend continuation
🎯 Trading Strategies
Strategy 1: Reversal Trading
Wait for CMO to touch extreme boundaries (red or green lines)
Look for divergence with price action
Enter counter-trend position when CMO starts moving back toward center
Set stop beyond the boundary breach point
Take profit near zero line or opposite boundary
Strategy 2: Momentum Confirmation
Use CMO direction to confirm trend
Enter positions when CMO crosses above/below yellow MA line
Hold positions while CMO remains on the correct side of MA
Exit when CMO crosses back through MA line
Strategy 3: Volatility Breakout
Monitor boundary width (envelope expansion/contraction)
When boundaries contract significantly, prepare for breakout
Enter in direction of CMO breakout from narrow range
Use boundary expansion as confirmation signal
⚠️ Important Notes
Best Timeframes
Scalping: 1m, 5m charts
Day Trading: 15m, 30m, 1H charts
Swing Trading: 4H, Daily charts
Market Conditions
Trending Markets: Focus on momentum confirmation signals
Ranging Markets: Focus on boundary reversal signals
High Volatility: Increase envelope multiplier (1.8-2.5)
Low Volatility: Decrease envelope multiplier (1.0-1.3)
Risk Management
Always use stop losses beyond boundary levels
Reduce position size during boundary expansion periods
Combine with price action and support/resistance levels
Monitor the real-time table for precise entry/exit levels
🔔 Alerts
The indicator includes built-in alert conditions:
"CMO Above Upper Bound": Potential reversal down signal
"CMO Below Lower Bound": Potential reversal up signal
Set these alerts to catch opportunities without constantly monitoring charts.
💡 Tips for Success
Combine with other indicators: Use with RSI, MACD, or volume indicators for confirmation
Watch for divergences: CMO making new highs/lows while price doesn't follow
Use multiple timeframes: Check higher timeframe CMO for overall trend context
Adjust settings for different assets: Crypto may need different settings than forex
Paper trade first: Test the indicator with your trading style before using real money
🎨 Customization Tips
Change colors in the Pine Script to match your chart theme
Adjust envelope length for faster (shorter) or slower (longer) signals
Modify envelope multiplier based on asset volatility
Hide the table if it obstructs your view by commenting out the table section
Complete trading solution: Pair with the Optimus Indicator (paid indicator) for multi-timeframe trend analysis and trend signals.
Together they create a powerful confluence system for professional trading setups.
FU + SMI Validator (Proper FU, 30m)Overview
The FU + SMI Validator is a sophisticated technical analysis indicator designed to detect Proper FU (Fakeouts or Liquidity Sweeps) on the 30-minute timeframe. This tool aims to help traders identify high-probability reversal setups that occur when price briefly breaks key levels (sweeping liquidity), then reverses with momentum confirmation.
Fakeouts are common market events where price action “hunts stops” before reversing direction. Correctly identifying these events can offer excellent entry points with defined risk. This indicator combines price action logic with momentum and volatility filters to provide reliable signals.
Core Concepts
Proper FU (Fakeout) Detection
At its core, the script identifies proper fakeouts by checking if the current bar’s price:
For bullish fakeouts: dips below the previous bar’s low (sweeping stops) and then closes above the previous bar’s high
For bearish fakeouts: spikes above the previous bar’s high and then closes below the previous bar’s low
This ensures that the breakout is a true sweep rather than just a one-sided close.
Optionally, the script can require one additional confirmation bar after the FU, ensuring that the momentum is sustained and reducing false signals.
SMI-style Momentum Validation
To improve the quality of signals, the indicator uses a proxy for the Stochastic Momentum Index (SMI) by calculating the difference between current and past linear regression slopes of price. This momentum check helps ensure that fakeouts occur alongside actual directional strength.
Key points:
Momentum must be increasing in the direction of the FU signal.
Momentum filters can be enabled or disabled based on user preference.
Squeeze Condition to Avoid Low-Volatility Traps
The script includes a volatility filter based on a squeeze-like condition:
It compares Bollinger Bands (BB) and Keltner Channels (KC).
When BB bands contract inside KC bands, the market is in a squeeze state, signaling low volatility.
Fakeouts during squeeze conditions are often unreliable; the script can filter these out to reduce false alarms.
Killzone Session Timing Filter
Recognizing that liquidity and volatility vary by session, this tool supports optional filtering for:
London Killzone: 09:00 to 10:30 (UK time)
New York Killzone: 13:00 to 14:30 (UK time)
Signals only trigger during these high-activity windows if enabled, helping traders focus on periods with the best liquidity and market participation.
Note: For Killzone filtering to work accurately, your TradingView chart must be set to the UK timezone.
Features & Benefits
Robust FU detection ensures the breakout price action is meaningful, reducing noise.
Momentum filter via linear regression slope captures trend strength in a smooth, mathematically sound way.
Low-volatility squeeze avoidance helps reduce false signals in choppy or range-bound markets.
Killzone timing filter focuses your attention on the most liquid and active market hours.
Optional confirmation bar increases signal reliability.
Raw FU markers allow visualization of all detected fakeouts for pattern recognition and manual analysis.
Alerts built-in for both valid buy and sell FU setups, enabling real-time notification and quicker decision-making.
Customization Options
Killzone usage: Enable or disable the session timing filter.
Sessions: Configure London and New York killzone time ranges.
Momentum alignment: Enable or disable momentum filter based on SMI proxy.
Volatility filter: Avoid signals during squeeze or low-volatility conditions.
FU confirmation: Option to require one additional confirming candle after the initial FU.
Squeeze and momentum parameters: Adjust Bollinger Bands length and multiplier, Keltner Channel length and ATR multiplier.
Raw FU markers: Show or hide all detected fakeouts regardless of filters.
How to Use This Indicator
Apply to 30-minute charts for forex pairs, indices, cryptocurrencies, or other instruments.
Set your chart timezone to UK time if using Killzone filters.
Adjust input parameters based on your preferred sessions and risk tolerance.
Look for green “VALID BUY FU” labels below bars for bullish fakeout entries.
Look for red “VALID SELL FU” labels above bars for bearish fakeout entries.
Use the alert system to receive notifications on setups.
Combine with your existing analysis or risk management strategy for entries, stops, and profit targets.
Why Use FU + SMI Validator?
Fakeouts are some of the most lucrative but tricky setups for many traders. Without proper filters, they can lead to false entries and losses. This script integrates price action, momentum, volatility, and session timing into one package, providing a robust tool to spot high-quality fakeout opportunities and improve trading confidence.
Limitations
Requires chart to be set to UK timezone for session filters.
Designed specifically for 30-minute timeframe — performance on other timeframes may vary.
Momentum is a proxy, not a direct SMI calculation.
Like all indicators, best used in conjunction with sound risk management and other analysis tools.
Potential Enhancements
Conversion into a full strategy script for backtesting entries and exits.
Addition of other momentum indicators (RSI, MACD) or volume filters.
Customizable time zones or auto time zone detection.
Multi-timeframe analysis capabilities.
Visual dashboard for summary of signal stats.
FU + SMI Validator (Proper FU, 30m)Overview
The FU + SMI Validator is a sophisticated technical analysis indicator designed to detect Proper FU (Fakeouts or Liquidity Sweeps) on the 30-minute timeframe. This tool aims to help traders identify high-probability reversal setups that occur when price briefly breaks key levels (sweeping liquidity), then reverses with momentum confirmation.
Fakeouts are common market events where price action “hunts stops” before reversing direction. Correctly identifying these events can offer excellent entry points with defined risk. This indicator combines price action logic with momentum and volatility filters to provide reliable signals.
Core Concepts
Proper FU (Fakeout) Detection
At its core, the script identifies proper fakeouts by checking if the current bar’s price:
For bullish fakeouts: dips below the previous bar’s low (sweeping stops) and then closes above the previous bar’s high
For bearish fakeouts: spikes above the previous bar’s high and then closes below the previous bar’s low
This ensures that the breakout is a true sweep rather than just a one-sided close.
Optionally, the script can require one additional confirmation bar after the FU, ensuring that the momentum is sustained and reducing false signals.
SMI-style Momentum Validation
To improve the quality of signals, the indicator uses a proxy for the Stochastic Momentum Index (SMI) by calculating the difference between current and past linear regression slopes of price. This momentum check helps ensure that fakeouts occur alongside actual directional strength.
Key points:
Momentum must be increasing in the direction of the FU signal.
Momentum filters can be enabled or disabled based on user preference.
Squeeze Condition to Avoid Low-Volatility Traps
The script includes a volatility filter based on a squeeze-like condition:
It compares Bollinger Bands (BB) and Keltner Channels (KC).
When BB bands contract inside KC bands, the market is in a squeeze state, signaling low volatility.
Fakeouts during squeeze conditions are often unreliable; the script can filter these out to reduce false alarms.
Killzone Session Timing Filter
Recognizing that liquidity and volatility vary by session, this tool supports optional filtering for:
London Killzone: 09:00 to 10:30 (UK time)
New York Killzone: 13:00 to 14:30 (UK time)
Signals only trigger during these high-activity windows if enabled, helping traders focus on periods with the best liquidity and market participation.
Note: For Killzone filtering to work accurately, your TradingView chart must be set to the UK timezone.
Features & Benefits
Robust FU detection ensures the breakout price action is meaningful, reducing noise.
Momentum filter via linear regression slope captures trend strength in a smooth, mathematically sound way.
Low-volatility squeeze avoidance helps reduce false signals in choppy or range-bound markets.
Killzone timing filter focuses your attention on the most liquid and active market hours.
Optional confirmation bar increases signal reliability.
Raw FU markers allow visualization of all detected fakeouts for pattern recognition and manual analysis.
Alerts built-in for both valid buy and sell FU setups, enabling real-time notification and quicker decision-making.
Customization Options
Killzone usage: Enable or disable the session timing filter.
Sessions: Configure London and New York killzone time ranges.
Momentum alignment: Enable or disable momentum filter based on SMI proxy.
Volatility filter: Avoid signals during squeeze or low-volatility conditions.
FU confirmation: Option to require one additional confirming candle after the initial FU.
Squeeze and momentum parameters: Adjust Bollinger Bands length and multiplier, Keltner Channel length and ATR multiplier.
Raw FU markers: Show or hide all detected fakeouts regardless of filters.
How to Use This Indicator
Apply to 30-minute charts for forex pairs, indices, cryptocurrencies, or other instruments.
Set your chart timezone to UK time if using Killzone filters.
Adjust input parameters based on your preferred sessions and risk tolerance.
Look for green “VALID BUY FU” labels below bars for bullish fakeout entries.
Look for red “VALID SELL FU” labels above bars for bearish fakeout entries.
Use the alert system to receive notifications on setups.
Combine with your existing analysis or risk management strategy for entries, stops, and profit targets.
Why Use FU + SMI Validator?
Fakeouts are some of the most lucrative but tricky setups for many traders. Without proper filters, they can lead to false entries and losses. This script integrates price action, momentum, volatility, and session timing into one package, providing a robust tool to spot high-quality fakeout opportunities and improve trading confidence.
Limitations
Requires chart to be set to UK timezone for session filters.
Designed specifically for 30-minute timeframe — performance on other timeframes may vary.
Momentum is a proxy, not a direct SMI calculation.
Like all indicators, best used in conjunction with sound risk management and other analysis tools.
Potential Enhancements
Conversion into a full strategy script for backtesting entries and exits.
Addition of other momentum indicators (RSI, MACD) or volume filters.
Customizable time zones or auto time zone detection.
Multi-timeframe analysis capabilities.
Visual dashboard for summary of signal stats.
Bollinger Bands Difference Score
Bollinger Bands Difference Score (TradingView – Pine Script v6)
The **Bollinger Bands Difference Score** is a volatility-based scoring system designed to help traders quickly assess whether a stock is in a **strong trend, neutral zone, or weak setup**. It transforms the raw **Bollinger Band Width (BB-Diff)** into a **normalized score (0–100)** and classifies conditions with intuitive thresholds.
---
### 🔹 What is Bollinger Bands Difference (BB-Diff)?
* **Bollinger Bands** are built from a moving average with upper and lower bands set by standard deviations.
* The **difference (or width)** between the bands reflects market volatility.
* A **high difference** = wide bands = strong volatility (breakout/trend).
* A **low difference** = narrow bands = low volatility (consolidation).
This indicator standardizes BB-Diff into a score and smooths it for cleaner signals.
---
### 🔹 Key Features
1. **BB-Diff Scoring System**
* Converts Bollinger Band width into a **0–100 normalized score**.
* Higher score → higher volatility/trend strength.
* Lower score → consolidation or weaker momentum.
2. **Signal Levels**
* **Strong Zone (≥ 70):** Indicates strong trend strength or expansion in volatility.
* **Neutral Zone (40–70):** Sideways or undecided price action.
* **Weak Zone (≤ 20):** Suggests very low volatility, potential upcoming squeeze.
3. **Score Smoothing**
* Applies a moving average to reduce noise.
* Helps avoid false signals during choppy markets.
4. **Visual Enhancements**
* Plots the score as a line (0–100 scale).
* Adds horizontal reference lines for **Strong**, **Neutral**, and **Weak** levels.
* Background colors automatically highlight **bullish strength (green)** or **weakness (red)**.
---
### 🔹 How to Use
* **Trend Confirmation:**
Look for scores **above 70** → suggests trend continuation or volatility breakout.
* **Consolidation Watch:**
Scores in the **20 or below** zone may precede volatility squeezes → breakout setups.
* **Neutral Zone:**
Scores between **40–70** suggest sideways price action; avoid aggressive trades.
* **Combine with Price Action:**
Use with support/resistance, candlestick patterns, or momentum indicators for confirmation.
---
### 🔹 Best Practices
* Great as a **volatility filter** before entries.
* Use in combination with **RSI, MACD, or OBV** for directional bias.
* Works well for **breakout trading** (when score rises from low levels).
* Monitor on multiple timeframes for alignment.
---
✅ **In summary:** The **Bollinger Bands Difference Score** is a simple yet powerful tool that quantifies volatility strength into an actionable score, making it easier to spot strong trends, consolidation phases, and potential breakout opportunities.
HeatCandleHeatCandle - AOC Indicator
✨ Features
📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones.
📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds.
⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis.
🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation.
🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity.
🛠️ How to Use
Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView.
Configure Inputs:
TMA Length: Set the period for the Triangular Moving Average (default: 150).
Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0).
Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA:
Dark blue (Z0) indicates strong oversold conditions.
Red (Z19) signals strong overbought conditions.
Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA.
🎯 Why Use It?
Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance.
Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading.
Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions.
Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators.
📝 Notes
Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths.
The indicator is most effective on volatile markets where price deviations are significant.
Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies.
Happy trading! 🚀📈
LQC GUIDED PATH - CONFIRMATION🎯 LQC GUIDED PATH - CONFIRMATION
Never Trade in the Wrong Direction Again!
🚦 REVOLUTIONARY PSYCHOLOGICAL COLOR SYSTEM:
✅ 🟢 GREEN PATH = GO LONG (Confirmed bullish bias)
✅ 🔵 BLUE PATH = GO SHORT (Confirmed bearish bias)
✅ 🟡 YELLOW PATH = WEAK SIGNAL (Wait for confirmation)
✅ ⚪ GRAY PATH = NEUTRAL (No clear direction)
✅ 🔴 RED BACKGROUND = DANGER ZONE (Near key levels - STOP!)
🛡️ MULTI-LAYER CONFIRMATION SYSTEM:
✅ Trend Confirmation - Dynamic EMA alignment
✅ Momentum Confirmation - RSI + MACD validation
✅ Volume Confirmation - Above-average volume surge
✅ Price Action Confirmation - Strong candle closes
✅ Key Level Protection - Daily/Premarket/Yesterday levels
⚠️ PEAK PROFIT PROTECTION:
✅ Tracks Maximum Profit Achieved
✅ Warns When Peak is Reached: “BEYOND THIS = YOUR RISK”
✅ Prevents Giving Back Gains
✅ One-Time Warning System
✅ Customizable Threshold Settings
🔑 KEY LEVELS INCLUDED:
✅ Daily High/Low - Orange dashed lines
✅ Premarket High/Low - Blue dotted lines
✅ Yesterday High/Low - Gray solid lines
✅ Overnight High/Low - Purple lines
✅ Automatic Danger Zone Detection
📊 CUSTOMIZABLE DASHBOARD:
✅ 6 Position Options (Top/Bottom/Middle Left/Right)
✅ 4 Size Options (Tiny/Small/Normal/Large)
✅ Complete ON/OFF Control
✅ Real-Time Status Updates
✅ Confirmation Counter (X/3 CONFIRMED)
🎛️ ADAPTIVE SENSITIVITY
[DEM] MLR Signal (With Backtesting) MLR Signal (With Backtesting) is designed to generate buy signals using a machine learning regression model that analyzes multiple technical indicators from a reference symbol (default NDX) to predict market direction and identify optimal entry points. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table while coloring bars green for bullish predictions and red for bearish predictions. The MLR model processes ten input features including RSI, MACD components, moving average relationships, and price momentum changes, applying predetermined coefficients to generate a prediction score that determines market bias, with buy signals triggered only when specific sequential patterns of bullish predictions occur (requiring particular arrangements of consecutive bullish and bearish predictions over recent bars) to filter for higher-confidence entry opportunities while tracking signal accuracy and returns through integrated backtesting.
Moving Average Signals : Support ResistanceThis indicator plots a Simple Moving Average (default 50-period, adjustable) and highlights potential bounce or rejection signals when price interacts with the SMA.
It is designed to identify moments when price tests the moving average from one side and then continues in the prior direction, signaling a possible continuation trade.
🔴 Red Triangle (Bearish Rejection)
A red triangle is plotted above the bar when:
Price has been trading below the SMA.
Price tests the SMA from below (the high touches or pierces the SMA but closes back below it).
Price then continues lower on the next bar.
This suggests the SMA acted as resistance and the downtrend may resume.
🟢 Green Triangle (Bullish Rejection)
A green triangle is plotted below the bar when:
Price has been trading above the SMA.
Price tests the SMA from above (the low touches or pierces the SMA but closes back above it).
Price then continues higher on the next bar.
This suggests the SMA acted as support and the uptrend may resume.
⚡ HOW TO USE IN TRADING
Trend Confirmation
Use this indicator in trending markets (not choppy ranges).
A rising SMA suggests bullish trend bias; a falling SMA suggests bearish trend bias.
Signal Entry
Green Triangle: Consider long entries when the SMA supports price and a bullish continuation is signaled.
Red Triangle: Consider short entries when the SMA rejects price and a bearish continuation is signaled.
Stop-Loss Placement
Place stops just beyond the SMA or the rejection candle’s high/low.
Example: For a red signal, stop above the SMA or rejection candle’s high.
Take-Profit Ideas
Target prior swing highs/lows or use risk/reward multiples (e.g., 2R, 3R).
You can also trail stops behind the SMA in a strong trend.
Filters for Higher Accuracy (optional)
Confirm signals with volume, momentum indicators (e.g., RSI, MACD), or higher-timeframe trend.
Avoid trading signals against strong higher-timeframe bias.
CandelaCharts - Z-Deviation Waves 📝 Overview
Volatility feels chaotic until you anchor it to statistics—then “stretch” and “snap-back” become measurable.
The CandelaCharts – Z-Deviation Waves turns your price source into a rolling Z-score (distance from its mean in standard deviations) and visualizes it as a color-graded wave with optional trend columns and labeled sigma lines. You can label pure σ levels, show the price at σ , or use a fixed “Price @ Z” grid for consistent visuals.
📦 Features
Designed to spotlight statistical extremes and make them tradable.
Rolling Z-score : Mean + stdev over a configurable window, with optional smoothing.
Three label modes :
Z-score (σ) — classic −3σ…+3σ lines/labels.
Price @ σ — converts each σ level into the live price.
Price @ Z — maps Z to a fixed numeric grid for legacy/visual consistency.
Trend columns : Subtle columns behind the wave to show rising vs. falling Z.
Gradient wave : Blue→orange scale tied to Z intensity (−3…+3).
Quick table : Optional on-chart prices for −1σ / −2σ / −3σ.
Polish : Font family/size controls and branding toggle.
⚙️ Settings
Pick your statistical lens, then choose how to display it.
Period : Rolling window for mean & stdev.
Source : Price input (Close by default).
Text Size : Label size for σ lines.
Smoothing (Z) : SMA on Z to calm noise.
Label Mode : Z-score (σ) / Price @ σ / Price @ Z.
Show Trend Columns : Rising/falling backdrop.
Show −2σ/−3σ Table : Quick downside prices (σ mode).
⚡️ Showcase
Mean-reversion extremes : Tag touches beyond ±2σ and subsequent reversions.
Price @ σ ladder : Show live price equivalents for −1σ/−2σ/−3σ as dynamic supports.
Smoothing on/off : Compare Z with smoothing 1 vs. 5 to demonstrate noise control.
📒 Usage
Treat σ as a “stretch gauge,” then layer your entries with structure and risk rules.
Read the tiers :
±1σ — routine fluctuation.
±2σ — statistically significant; watch for exhaustion or follow-through.
±3σ — extreme; look for mean-reversion triggers or parabolic blow-off risk.
Price @ σ for levels : Use −1σ/−2σ as dynamic pullback/mean targets; +1σ/+2σ as potential resistance in downtrends.
Trend columns as timing : Fade extremes only when Z momentum stalls (columns stop rising against you).
Calibrate window : Shorter Period = faster, noisier signals; longer = steadier, fewer extremes.
Confluence : Pair with RSI/MACD divergence or key S/R for higher-quality reversions.
🚨 Alerts
There are no built-in alerts; add simple manual ones.
Crosses of ±1σ / ±2σ / ±3σ (plot value vs. horizontal lines).
Z turning down after tagging +2σ/+3σ (or turning up after −2σ/−3σ ).
Re-entry into the −1σ…+1σ band after an extreme (cool-down).
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
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