Mancini Levels (with alerts, majors only option)This indicator displays Support and Resistance levels on ES or MES (E-mini and Micro E-mini S&P 500 Index Futures) charts by parsing text copied and pasted by the user.
(The levels displayed on the chart above are not valid, they are for illustration only)
Features
Option to display only the major levels
The chart on the left displays both major and minor levels, distinguished by color and line style. The chart on the right shows only the major levels; minor levels are disabled:
Alert function for when the price approaches a major level or zone (within a customizable distance).
The script provides a trigger for alerts. When creating an alert, you can then choose your desired frequency (Only once/Once per bar/Once per bar close/Once per minute) from the TradingView alert pop-up.
The alert message contains the current price and the approached major level price.
Customizable Lookback Period
Set how many days into the past the lines should appear (Subject to a maximum of 5000 bars).
To display lines for the current day only, set this value to 1.
Functions only on ES or MES (E-mini and Micro E-mini S&P 500 Index Futures) charts, as the text format is intended for these instruments.
How to Use
Copy and paste the support and resistance levels into the indicator's "Supports" and "Resistances" input fields.
Format Example:
For the "Supports" input: 6772-6770 (major), 6764 (major), 6757, 6751-54
For the "Resistances" input: 6799 (major), 6814, 6828-30, 6839-40 (major)
The indicator supports the display of zone levels in multiple formats
(e.g., 6235-45 and 6235-6245 and 6245-6235 are all valid).
For hundred- or thousand-point rollovers, please use only the full number format: 5995-6005.
The indicator includes an error-checking system to help you troubleshoot common setup issues.
An on-chart error label will be displayed on the chart if:
The chart instrument is not ES or MES.
The "Supports" and "Resistances" fields are both empty.
A data formatting error is detected (e.g., non-numeric characters, incomplete zones, etc.).
How It Works
For optimal resource efficiency and performance, the script executes all computationally intensive tasks only once, on the very first bar when the chart loads (if barstate.isfirst).
One-time Parsing: The parsing, splitting, and conversion of the text (string) formatted levels, which are provided in the settings, occurs only once.
Persistent Objects: The lines (line.new), fills (linefill.new), and price labels (label.new) that mark the levels are all persistent graphical objects. The script creates these on the first bar and stores their references in arrays declared with the var keyword.
No Redrawing: On subsequent bars, the indicator does not delete and redraw these objects. It merely updates the x-axis position of the existing lines and labels (line.set_x1, line.set_x2, label.set_x) on the last bar (if barstate.islast), ensuring they always remain on the right edge of the chart, following the formation of new bars.
By default, TradingView charts have a limit of 50 lines and 50 labels. Given that the number of levels often exceeds this, the script's drawing logic is as follows:
The number of displayable lines and labels has been increased (to 500) in the indicator's declaration line.
The script applies a prioritized order when drawing levels and labels. Major levels have priority over minor levels during drawing.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice.
Trading involves substantial risk of loss and is not suitable for every investor. Past performance shown in examples is not indicative of future results.
The indicator provides signals and calculations, but trading decisions are solely your responsibility. Always:
Test strategies on paper before using real money
Never risk more than you can afford to lose
Understand that all trading involves risk
Consider seeking advice from a licensed financial advisor
The publisher makes no guarantees regarding accuracy, profitability, or performance. Use at your own risk.
อินดิเคเตอร์และกลยุทธ์
P/E, EPS, Price & Price-to-Sales DisplayPrice to earning ratio,
EPS,
Price ANd
Price-to-Sales Display
Session Lines (US & Europe, Anchored and Adaptive)A sleek indicator that marks the London (blue) and New York (red) trading sessions with perfectly aligned vertical lines both open and close times.
Lines automatically scale with your chart, adapt to any timeframe, and fade smoothly on higher intervals to keep your layout clean and professional.
Project 1 - Complete with CMF and All IndicatorsProject 1 – Multi-Indicator Suite
This script combines several widely-used technical indicators into a single visual framework.
It is designed to help traders track momentum, trend strength, volume behavior, and money flow without switching between multiple tools.
Included components:
• MACD with dynamic color changes
• RSI with percentage change and directional marker
• ADX with trend-strength shading and Δ% calculation
• CMF (Chaikin Money Flow) with positive/negative flow tracking
• Volume Oscillator for short–long volume pressure
• Auto-updated labels for RSI, ADX, and CMF
• Lightweight visual lines to show momentum changes
Use cases:
• Trend confirmation
• Momentum diagnostics
• Volume-based pressure analysis
• Money-flow direction and strength
• Multi-factor confluence without indicator stacking
This tool does not generate buy/sell signals and does not imply trading outcomes.
It is a visual analytics suite built for discretionary technical analysis.
MAGIC MA BANDSMagic MA Bands — Dynamic Trend Zones Instead of Lines
Magic MA Bands help traders visualize dynamic support and resistance zones rather than relying on a single moving average line. Instead of treating the MA as an exact reaction level, this tool creates a band or zone where price is statistically more likely to react, reverse, or continue trending.
🧠 How It Works
The script plots:
Upper Band (default: 50 EMA using High values)
Lower Band (default: 50 EMA using Low values)
Optional Midline MA (default: 200 SMA for long-term trend)
The area between the upper and lower bands becomes a trend cushion, helping traders identify:
Dynamic support/resistance zones
Trend strength and continuation probability
Ideal pullback entry regions
🎯 Trend Interpretation Guide
Use Case Recommended Setting
Short-Term Trend 20/21 EMA or SMA
Medium-Term Trend 50 EMA / SMA
Long-Term Trend 200 SMA / EMA (Midline Optional)
All parameters are fully customisable so the user can define their preferred structure based on their trading style, asset volatility, or timeframe.
✔️ Best For:
Trend traders
Swing trading
Pullback-based entries
Institutional-style zone analysis
Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2)What this indicator does
Name: Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2)
This is not an entry signal indicator. It’s a market condition filter:
It checks how compressed or expanded price is on
1H, 30M, and 15M.
It labels each TF as CHOP or NORMAL.
If 2 or more of those are in CHOP, it prints NO TRADE.
If 0 or 1 are in CHOP, it prints TRADE.
You use it to answer one question:
“Is this a session I should be pushing the button,
or is this a day to sit on my hands?”
How it works (simple version)
For each timeframe (1H, 30M, 15M), the script:
Looks back N bars (ATR length).
Measures:
ATR over N bars
Price range over N bars (highest high − lowest low)
Computes a compression value:
compression = ATR / range.
Then it compares that to the Threshold:
If compression > threshold → CHOP (market boxed / compressed)
If compression ≤ threshold → NORMAL (market expanded / trending)
Finally:
It counts how many TFs are CHOP.
If 2 or 3 TFs are CHOP → NO TRADE.
If 0 or 1 TFs are CHOP → TRADE.
Inputs / Profiles
At the top you see:
Profile
Overnight 4/0.40 – for Asia / London / overnight sessions
NYO 5/0.45 – for New York Open profile (default)
Custom – lets you type your own values
When Custom is selected, you can set:
ATR Length (Custom) – how many bars to use in the compression calc
Chop Threshold (ATR ÷ Range) (Custom) – where you cut between CHOP vs NORMAL
Higher threshold → more bars counted as NORMAL, less CHOP
Lower threshold → more bars counted as CHOP, fewer TRADE environments
For NYO, you normally keep:
Profile = NYO 5/0.45
(ATR over 5 bars, threshold 0.45)
What you see on the chart
A single line panel at the bottom-right, like:
1H: NORMAL | 30M: CHOP | 15M: NORMAL | TRADE | NYO 5/0.45
Meaning:
1H: NORMAL → the last 1H window is expanded enough (not boxed).
30M: CHOP → 30M is compressed (inside a tighter range).
15M: NORMAL → 15M has opened up.
TRADE → Only 1 TF is CHOP, so the majority says OK to trade.
NYO 5/0.45 → just a tag to remind which profile you’re using.
If instead you see:
1H: CHOP | 30M: CHOP | 15M: NORMAL | NO TRADE | NYO 5/0.45
That means:
1H and 30M are boxed
15M opened a bit, but 2 TFs are CHOP
Final verdict: NO TRADE environment
How to use it in your trading
1. As a gatekeeper before any entry model
No matter what entry you use (MSS + FVG, OB, purge setups, etc.):
If the panel says NO TRADE →
You do not open new positions.
You’re in “observe only” mode.
You can still study price, mark levels, and journal, but you’re not pressing the button.
If the panel says TRADE →
The environment is acceptable.
Now you can look for your entry model (e.g. MSS + FVG retest, SMT, OB, etc.).
Think of it as your first filter every session:
“Panel says NO TRADE? I don’t care how good the candle looks – I’m waiting.”
2. Reading each timeframe
1H: CHOP → Day is still boxed on the higher frame; big expansion hasn’t kicked in.
30M: CHOP → Classic 30M dealing range; many fake breaks and wicks likely.
15M: CHOP → Intraday still coiling; scalping environment at best.
When 2 or 3 say CHOP, expect:
Whipsaw
MSS both ways
Failed FVGs
News spikes that die in the box
Perfect time to protect your psychology and capital.
When 2 or 3 say NORMAL, expect:
Cleaner swings
Better follow-through after MSS / FVG
Easier to hold for targets
3. How it pairs with your MSS/FVG indicator
With your Chop + MSS/FVG Retest indicator:
Chop meter = environment filter
MSS/FVG indicator = entry trigger
Your process becomes:
Check chop meter:
If NO TRADE → hands off.
If TRADE → go to step 2.
On your chart, wait for:
Purge / SMT at the edges
MSS in the right direction
FVG + retest
Only take L/S when both:
Chop meter = TRADE, and
Entry model = L/S signal in the right area (premium/discount).
That way, you’re not just trading every L/S the MSS script spits out—you’re trading L/S only when the higher-timeframe environment is worth it.
RSI Hybrid + EMA Cloud + Swings(15m/2H)RSI Hybrid + EMA Cloud (15m Trend + 2H Momentum)
A dual-timeframe trading system combining fast 15-minute trend structure with higher-timeframe 2-Hour momentum, volume and structural levels.
🧩 What This Indicator Does
This tool blends:
🔹 15m Trend (EMA Cloud) – 2 Points
EMA 7 vs 21 → Short trend
EMA 30 vs 74 → Long trend
Cloud shading highlights bullish/bearish alignment
Faster, intraday trend sensitivity
🔹 2H Momentum (RSI Hybrid) – 3 Points
RSI > 50
RSI > SMA(4)
RSI > SMA(12)
Gives short / medium / long momentum confirmation from the higher timeframe.
🔹 2H Volume Pressure – 1 Point
Volume vs 20-SMA
Mild / Moderate / Strong Bull/Bear
Confirms true participation behind price moves
⭐ Score System (0–6 Total)
Component Points
15m EMA Trend 2
2H RSI Hybrid 3
2H Volume Power 1
Total 6
Interpretation:
5–6 → High-confluence direction
3–4 → Partial confluence
1–2 → Weak bias
0 → No reliable direction
Designed for discretionary and semi-systematic intraday traders.
📊 15m Structural Levels
Includes:
✔ Last confirmed 15m Swing High / Swing Low
Based on close-price pivots, not highs/lows.
✔ Live Running High since last Swing LOW
Tracks how far price has extended upward.
✔ Live Running Low since last Swing HIGH
Tracks downward extension after a swing high.
✔ ATR(15m)
Volatility reference for SL/TP or risk modeling.
These levels help in timing entries, managing stops, and identifying breakout/breakdown zones.
🖥 On-Chart Info Table
Summarizes:
15m EMA short & long trend
2H RSI short/medium/long momentum
RSI vs 50
2H volume power
Bull & Bear score (with breakdown)
Last 15m swing highs/lows
ATR(15m)
Color-coded for clarity
💡 Why Use This Indicator
High-speed 15m trend detection
Higher-TF 2H momentum & volume confirmation
Multi-layered bias presented in a simple score
Built-in structure for more intelligent entries/exits
Works on indices, stocks, FX, crypto
Ideal for intraday traders who want speed + reliability
Ultimate Multi-Asset Correlation System by able eiei Ultimate Multi-Asset Correlation System - User Guide
Overview
This advanced TradingView indicator combines WaveTrend oscillator analysis with comprehensive multi-asset correlation tracking. It helps traders understand market relationships, identify regime changes, and spot high-probability trading opportunities across different asset classes.
Key Features
1. WaveTrend Oscillator
Main Signal Lines: WT1 (blue) and WT2 (red) plot momentum and its moving average
Overbought/Oversold Zones: Default levels at +60/-60
Cross Signals:
🟢 Bullish: WT1 crosses above WT2 in oversold territory
🔴 Bearish: WT1 crosses below WT2 in overbought territory
Higher Timeframe (HTF) Analysis: Shows WT1 from 4H, Daily, and Weekly timeframes for trend confirmation
2. Multi-Asset Correlation Tracking
Monitors relationships between:
Major Assets: Gold (XAUUSD), Dollar Index (DXY), US 10-Year Yield, S&P 500
Crypto Assets: Bitcoin, Ethereum, Solana, BNB
Cross-Asset Analysis: Correlation between traditional markets and crypto
3. Market Regime Detection
Automatically identifies market conditions:
Risk-On: High correlation + positive sentiment (🟢 Green background)
Risk-Off: High correlation + negative sentiment (🔴 Red background)
Crypto-Risk-On: Strong crypto correlations (🟠 Orange background)
Low-Correlation: Divergent market behavior (⚪ Gray background)
Neutral: Mixed signals (🟡 Yellow background)
How to Use
Basic Setup
Add to Chart: Apply the indicator to any chart (works on all timeframes)
Choose Display Mode (Display Options):
All: Shows everything (recommended for comprehensive analysis)
WaveTrend Only: Focus on momentum signals
Correlation Only: View market relationships
Heatmap Only: Simplified correlation view
Enable Asset Groups:
✅ Major Assets: Traditional markets (stocks, bonds, commodities)
✅ Crypto Assets: Digital currencies
Mix and match based on your trading focus
Reading the Charts
WaveTrend Section (Bottom Panel)
Above 0 = Bullish momentum
Below 0 = Bearish momentum
Above +60 = Overbought (potential reversal)
Below -60 = Oversold (potential bounce)
Lighter lines = Higher timeframe trends
Correlation Histogram (Colored Bars)
Blue bars: Major asset correlations
Orange bars: Crypto correlations
Purple bars: Cross-asset correlations
Bar height: Correlation strength (-50 to +50 scale)
Background Color
Intensity reflects correlation strength
Color shows market regime
Dashboard Elements
🎯 Market Regime Analysis (Top Left)
Current Regime: Overall market condition
Average Correlation: Strength of relationships (0-1 scale)
Risk Sentiment: -100% (risk-off) to +100% (risk-on)
HTF Alignment: Multi-timeframe trend agreement
Signal Quality: Confidence level for current signals
📊 Correlation Matrix (Top Right)
Shows correlation values between asset pairs:
1.00: Perfect positive correlation
0.75+: Strong correlation (🟢 Green)
0.50+: Medium correlation (🟡 Yellow)
0.25+: Weak correlation (🟠 Orange)
Below 0.25: Negative/no correlation (🔴 Red)
🔥 Correlation Heatmap (Bottom Right)
Visual matrix showing:
Gold vs. DXY, BTC, ETH
DXY vs. BTC, ETH
BTC vs. ETH
Color-coded strength
📈 Performance Tracker (Bottom Left)
Tracks individual asset momentum:
WT1 Values: Current momentum reading
Status: OB (overbought) / OS (oversold) / Normal
Trading Strategies
1. High-Probability Trend Following
✅ Entry Conditions:
WaveTrend bullish/bearish cross
HTF Alignment matches signal direction
Signal Quality > 70%
Correlation supports direction
2. Regime Change Trading
🎯 Watch for regime shifts:
Risk-Off → Risk-On = Consider long positions
High correlation → Low correlation = Reduce position size
Crypto-Risk-On = Focus on crypto longs
3. Divergence Trading
🔍 Look for:
Strong correlation breakdown = Potential volatility
Cross-asset correlation surge = Follow the leader
Volume-price correlation extremes = Trend confirmation
4. Overbought/Oversold Reversals
⚡ Trade reversals when:
WT crosses in extreme zones (-60/+60)
HTF alignment shows opposite trend weakening
Correlation confirms mean reversion setup
Customization Tips
Fine-Tuning Parameters
WaveTrend Core:
Channel Length (10): Lower = more sensitive, Higher = smoother
Average Length (21): Adjust for your timeframe
Correlation Settings:
Length (50): Longer = more stable, Shorter = more responsive
Smoothing (5): Reduce noise in correlation readings
Market Regime:
Risk-On Threshold (0.6): Lower = earlier regime signals
High Correlation Threshold (0.75): Adjust sensitivity
Custom Asset Selection
Replace default symbols with your preferred markets:
Major Assets: Any forex, indices, bonds
Crypto: Any digital currencies
Must use correct exchange prefix (e.g., BINANCE:BTCUSDT)
Alert System
Enable "Advanced Alerts" to receive notifications for:
✅ Market regime changes
✅ Correlation breakdowns/surges
✅ Strong signals with high correlation
✅ Extreme volume-price correlation
✅ Complete HTF alignment
Correlation Interpretation Guide
ValueMeaningTrading Implication+0.75 to +1.0Strong positiveAssets move together+0.5 to +0.75Moderate positiveGenerally aligned+0.25 to +0.5Weak positiveLoose relationship-0.25 to +0.25No correlationIndependent movements-0.5 to -0.25Weak negativeSlight inverse relationship-0.75 to -0.5Moderate negativeTend to move opposite-1.0 to -0.75Strong negativeStrongly inversely correlated
Best Practices
Use Multiple Timeframes: Check HTF alignment before trading
Confirm with Correlation: Strong signals work best with supportive correlations
Watch Regime Changes: Adjust strategy based on market conditions
Volume Matters: Enable volume-price correlation for confirmation
Quality Over Quantity: Trade only high-quality setups (>70% signal quality)
Common Patterns to Watch
🔵 Risk-On Environment:
Gold-BTC positive correlation
DXY negative correlation with risk assets
High crypto correlations
🔴 Risk-Off Environment:
Flight to safety (Gold up, stocks down)
DXY strength
Correlation breakdowns
🟡 Transition Periods:
Low correlation across assets
Mixed HTF signals
Use caution, reduce position sizes
Technical Notes
Calculation Period: Uses HLC3 (average of high, low, close)
Correlation Window: Rolling correlation over specified length
HTF Data: Accurately calculated using security() function
Performance: Optimized for real-time calculation on all timeframes
Support
For optimal performance:
Use on 15-minute to daily timeframes
Enable only needed asset groups
Adjust correlation length based on trading style
Combine with your existing strategy for confirmation
Enjoy comprehensive multi-asset analysis! 🚀
Dynamic 15-Ticker Dashboard • Real-Time ▲▼ Arrows • 2025Dynamic 15-Ticker Dashboard • Real-Time ▲▼ Arrows • 2025 Edition
Free • Fully Open Source • Stable and Mobile-Friendly
The cleanest, most reliable multi-ticker dashboard you will ever add — zero collapsing, zero lag, works on mobile too.
Features
• SPY always pinned at the top
• Add up to 14 of your own tickers (just type → instantly appears)
• Live price + direction arrows (▲ ▼) with automatic green/red coloring
• RSI(14) with momentum arrows
• Volume auto-formatted (K / M / B) with change arrows
• 15 rows 100% stable — no disappearing table bug
• Alternating dark rows for easy reading
• Real-time updates on any timeframe
Perfect for day traders, swing traders, or anyone who wants a consolidated watchlist without switching charts constantly.
How to use
Add to chart
Type your tickers in the settings (leave blank to hide)
Done — enjoy the clean, organized watchlist
Zero requests, zero repainting, zero drama.
Made for traders, by traders ♥
Open source — feel free to modify, share, or improve.
If you like it, leave a comment and hit the ♥ button.
Enjoy the view!
Kernel Channel [BackQuant]Kernel Channel
A non-parametric, kernel-weighted trend channel that adapts to local structure, smooths noise without lagging like moving averages, and highlights volatility compressions, expansions, and directional bias through a flexible choice of kernels, band types, and squeeze logic.
What this is
This indicator builds a full trend channel using kernel regression rather than classical averaging. Instead of a simple moving average or exponential weighting, the midline is computed as a kernel-weighted expectation of past values. This allows it to adapt to local shape, give more weight to nearby bars, and reduce distortion from outliers.
You can think of it as a sliding local smoother where you define both the “window” of influence (Window Length) and the “locality strength” (Bandwidth). The result is a flexible midline with optional upper and lower bands derived from kernel-weighted ATR or kernel-weighted standard deviation, letting you visualize volatility in a structurally consistent way.
Three plotting modes help demonstrate this difference:
When the midline is shown alone, you get a smooth, adaptive baseline that behaves almost like a regression moving average, as shown in this view:
When full channels are enabled, you see how standard deviation reacts to local structure with dynamically widening and tightening bands, a mode illustrated here:
When ATR mode is chosen instead of StdDev, band width reflects breadth of movement rather than variance, creating a volatility-aware envelope like the example here:
Why kernels
Classical moving averages allocate fixed weights. Kernels let the user define weighting shape:
Epanechnikov — emphasizes bars near the current bar, fades fast, stable and smooth.
Triangular — linear decay, simple and responsive.
Laplacian — exponential decay from the current point, sharper reactivity.
Cosine — gentle periodic decay, balanced smoothness for trend filters.
Using these in combination with a bandwidth parameter gives fine control over smoothness vs responsiveness. Smaller bandwidths give sharper local sensitivity, larger bandwidths give smoother curvature.
How it works (core logic)
The indicator computes three building blocks:
1) Kernel-weighted midline
For every bar, a sliding window looks back Window Length bars. Each bar in this window receives a kernel weight depending on:
its index distance from the present
the chosen kernel shape
the bandwidth parameter (locality)
Weights form the denominator, weighted values form the numerator, and the resulting ratio is the kernel regression mean. This midline is the central trend.
2) Kernel-based width
You choose one of two band types:
Kernel ATR — ATR values are kernel-averaged, producing a smooth, volatility-based width that is not dependent on variance. Ideal for directional trend channels and regime separation.
Kernel StdDev — local variance around the midline is computed through kernel weighting. This produces a true statistical envelope that narrows in quiet periods and widens in noisy areas.
Width is scaled using Band Multiplier , controlling how far the envelope extends.
3) Upper and lower channels
Provided midline and width exist, the channel edges are:
Upper = midline + bandMult × width
Lower = midline − bandMult × width
These create smooth structures around price that adapt continuously.
Plotting modes
The indicator supports multiple visual styles depending on what you want to emphasize.
When only the midline is displayed, you get a pure kernel trend: a smooth regression-like curve that reacts to local structure while filtering noise, demonstrated here: This provides a clean read on direction and slope.
With full channels enabled, the behavior of the bands becomes visible. Standard deviation mode creates elastic boundaries that tighten during compressions and widen during turbulence, which you can see in the band-focused demonstration: This helps identify expansion events, volatility clusters, and breakouts.
ATR mode shifts interpretation from statistical variance to raw movement amplitude. This makes channels less sensitive to outliers and more consistent across trend phases, as shown in this ATR variation example: This mode is particularly useful for breakout systems and bar-range regimes.
Regime detection and bar coloring
The slope of the midline defines directional bias:
Up-slope → green
Down-slope → red
Flat → gray
A secondary regime filter compares close to the channel:
Trend Up Strong — close above upper band and midline rising.
Trend Down Strong — close below lower band and midline falling.
Trend Up Weak — close between midline and upper band with rising slope.
Trend Down Weak — close between lower band and midline with falling slope.
Compression mode — squeeze conditions.
Bar coloring is optional and can be toggled for cleaner charts.
Squeeze logic
The indicator includes non-standard squeeze detection based on relative width , defined as:
width / |midline|
This gives a dimensionless measure of how “tight” or “loose” the channel is, normalized for trend level.
A rolling window evaluates the percentile rank of current width relative to past behavior. If the width is in the lowest X% of its last N observations, the script flags a squeeze environment. This highlights compression regions that may precede breakouts or regime shifts.
Deviation highlighting
When using Kernel StdDev mode, you may enable deviation flags that highlight bars where price moves outside the channel:
Above upper band → bullish momentum overextension
Below lower band → bearish momentum overextension
This is turned off in ATR mode because ATR widths do not represent distributional variance.
Alerts included
Kernel Channel Long — midline turns up.
Kernel Channel Short — midline turns down.
Price Crossed Midline — crossover or crossunder of the midline.
Price Above Upper — early momentum expansion.
Price Below Lower — downward volatility expansion.
These help automate regime changes and breakout detection.
How to use it
Trend identification
The midline acts as a bias filter. Rising midline means trend strength upward, falling midline means downward behavior. The channel width contextualizes confidence.
Breakout anticipation
Kernel StdDev compressions highlight areas where price is coiling. Breakouts often follow narrow relative width. ATR mode provides structural expansion cues that are smooth and robust.
Mean reversion
StdDev mode is suitable for fade setups. Moves to outer bands during low volatility often revert to the midline.
Continuation logic
If price breaks above the upper band while midline is rising, the indicator flags strong directional expansion. Same logic for breakdowns on the lower band.
Volatility characterization
Kernel ATR maps raw bar movements and is excellent for identifying regime shifts in markets where variance is unstable.
Tuning guidance
For smoother long-term trend tracking
Larger window (150–300).
Moderate bandwidth (1.0–2.0).
Epanechnikov or Cosine kernel.
ATR mode for stable envelopes.
For swing trading / short-term structure
Window length around 50–100.
Bandwidth 0.6–1.2.
Triangular for speed, Laplacian for sharper reactions.
StdDev bands for precise volatility compression.
For breakout systems
Smaller bandwidth for sharp local detection.
ATR mode for stable envelopes.
Enable squeeze highlighting for identifying setups early.
For mean-reversion systems
Use StdDev bands.
Moderate window length.
Highlight deviations to locate overextended bars.
Settings overview
Kernel Settings
Source
Window Length
Bandwidth
Kernel Type (Epanechnikov, Triangular, Laplacian, Cosine)
Channel Width
Band Type (Kernel ATR or Kernel StdDev)
Band Multiplier
Visuals
Show Bands
Color Bars By Regime
Highlight Squeeze Periods
Highlight Deviation
Lookback and Percentile settings
Colors for uptrend, downtrend, squeeze, flat
Trading applications
Trend filtering — trade only in direction of the midline slope.
Breakout confirmation — expansion outside the bands while slope agrees.
Squeeze timing — compression periods often precede the next directional leg.
Volatility-aware stops — ATR mode makes channel edges suitable for adaptive stop placement.
Structural swing mapping — StdDev bands help locate midline pullbacks vs distributional extremes.
Bias rotation — bar coloring highlights when regime shifts occur.
Notes
The Kernel Channel is not a signal generator by itself, but a structural map. It helps classify trend direction, volatility environment, distribution shape, and compression cycles. Combine it with your entry and exit framework, risk parameters, and higher-timeframe confirmation.
It is designed to behave consistently across markets, to avoid the bluntness of classical averages, and to reveal subtle curvature in price that traditional channels miss. Adjust kernel type, bandwidth, and band source to match the noise profile of your instrument, then use squeeze logic and deviation highlighting to guide timing.
Bollinger Band with Clouds, MA, and Selectable Buy/Sell AlertsBollinger Bands + Clouds + Multi-TF Signals — All in One Open-Source Indicator
This open-source indicator combines multiple technical tools into a single, flexible charting solution — giving traders clear context and the ability to customize or build upon the code. Perfect for intraday, swing, or longer-term analysis.
What it includes:
NMA (Normalized Moving Average): Adaptive, multi-length moving average for trend visualization.
VWAP: Volume-weighted average price for intraday anchoring.
Bollinger Bands: Customizable upper/lower bands with baseline and fill, providing dynamic volatility context.
Hull Moving Average + Kalman Filter: Smoothed trend detection with optional buy/sell shapes on crossovers.
Multi-Timeframe EMAs: Short, medium, and long-term EMAs from multiple timeframes, all in one view.
RSI & ATR: Optional visibility to track momentum and volatility.
Customizable Colors & Transparency: Every line, fill, and shape can be adjusted independently.
Selectable Buy/Sell Alerts: Configurable shapes and TradingView alert conditions for strategy observation.
Why you’ll love it:
Fully open-source: inspect, modify, and adapt the code for your own analysis.
Clean, informative visualizations that consolidate multiple indicators without cluttering your chart.
Flexible for intraday, swing, or longer-term timeframes.
Team Player Friendly:
This script is intentionally published as open-source to support the TradingView community. All code is fully visible — no proprietary sections — so anyone can learn from, modify, and contribute to the indicator.
Disclaimer:
This indicator is for informational purposes only. It does not constitute financial, trading, or investment advice. Users should conduct their own analysis before making trading decisions.
Continuation / Reversal Sweep (WMA trend)marks hh ll
reversals
continuiation
htf analyisis to enter in ltf
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range.
It does not provide signals, alerts, entries, exits, predictions, or trade recommendations.
Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure.
All calculations are analytical, static, and based on fully closed candles.
🧠 How It Works (Core Logic Explained)
OPE computes the following values from the completed prior daily candle:
Prior-Day High
Prior-Day Low
Prior-Day Midpoint
Displacement Range = High − Low
This displacement range is used to generate symmetrical upward and downward reference zones.
These levels do not update during the session.
They refresh only once per day when a new daily candle closes.
This ensures the indicator remains fully non-repainting and stable on every intraday chart.
📐 Reference Levels Generated
Using the fixed prior-day displacement range, OPE plots:
1. BUY-Side Reference Map (Upward Bias)
BUY Reference Entry
BUY Reference Stop
BUY T1
BUY T2
BUY T3
BUY T4
BUY T5
BUY T6
These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only.
2. SELL-Side Reference Map (Downward Bias)
SELL Reference Entry
SELL Reference Stop
SELL T1
SELL T2
SELL T3
SELL T4
SELL T5
SELL T6
Again, these levels are not directives.
They are mirrored displacement extensions below the prior-day midpoint.
📊 Pivot Zone & Bands
The indicator includes optional visual layers derived from the same prior-day pivots:
Pivot High–Low Zone Shading → shows the prior-day full range
Pivot Midline → prior-day mid-price
Outer Displacement Bands → extended contextual boundaries
These are purely visual boundaries meant to improve market context.
🧾 Dashboard / HUD Explanation
A compact on-chart HUD summarizes all values.
It displays:
Section | Information (All Historical)
Prior-Day Pivots | High, Low, Mid, Range
BUY Map | Entry, Stop, T1–T6
SELL Map | Entry, Stop, T1–T6
The HUD allows you to quickly review:
Where the current price is relative to the previous day’s structure
How far price is from each level
Whether the session is operating inside or outside the prior-day displacement zones
Everything shown is static, non-repainting , and for reference only .
📊 How to Analyze It
✔ 1. Contextual Awareness
OPE helps users visually compare current intraday price to prior daily structure.
You can observe whether price is:
Inside yesterday’s high/low zone
Above the prior-day displacement
Below the prior-day displacement
This offers a clearer understanding of daily context and volatility.
✔ 2. Structural Symmetry
The BUY-side and SELL-side maps extend from the same pivot logic.
This can help visualize:
Expansion away from the prior-day midpoint
Compression within the prior-day range
Symmetrical displacement around key reference levels
Again — these are observational insights , not signals.
✔ 3. Range Interaction
As the session unfolds, users often study:
How price reacts around prior-day midpoint
Whether price is gravitating toward or away from the displacement levels
How intraday swings behave within these historical boundaries
This type of analysis is contextual , not predictive.
⚠️ Important Disclosures
This script does NOT generate trading signals.
It does NOT predict future price movement.
It does NOT contain advice, instructions, recommendations, or strategies.
All levels are derived exclusively from historical daily candle data .
This is strictly an informational visualization tool meant to support chart analysis.
Past price levels do not guarantee any future price behavior.
🛑 Disclaimer
This indicator is provided solely for educational and informational purposes.
It should not be interpreted as financial advice or a call to action of any kind.
Users should apply independent judgment and discretion when analyzing markets.
纳斯达克涨2.5%以上//@version=5
indicator("纳斯达克大涨标记", shorttitle="NASDAQ+2.5%", overlay=true)
// 纳斯达克综合指数的符号
// 如果您想使用 E-mini 纳斯达克 100 期货 (NQ!) 或其他相关工具，请更改此符号
symbolName = "NASDAQ:IXIC"
// 目标涨幅百分比
targetPercentage = 2.5
// 获取纳斯达克指数的数据
// 使用 security() 函数获取不同品种的数据
nasdaq_close = request.security(symbolName, "D", close )
nasdaq_prev_close = request.security(symbolName, "D", close )
// 确保我们有足够的数据进行计算
isDataAvailable = not na(nasdaq_close) and not na(nasdaq_prev_close)
// 计算当天的涨幅百分比
// (今日收盘价 - 昨日收盘价) / 昨日收盘价 * 100
changePercentage = isDataAvailable ? (nasdaq_close - nasdaq_prev_close) / nasdaq_prev_close * 100 : na
// 检查条件：涨幅是否大于或等于目标百分比
isBigUpDay = changePercentage >= targetPercentage
// 绘制粉红色的点
plotshape(isBigUpDay,
title="大涨日",
location=location.belowbar, // 绘制在 K 线的下方
color=color.rgb(255, 0, 255, 0), // 纯粉红色
style=shape.circle,
size=size.small,
text="")
// 可以在图表底部显示涨幅百分比作为确认
plot(isBigUpDay ? changePercentage : na,
title="当日涨幅%",
color=color.rgb(255, 0, 255, 50),
style=plot.style_stepline,
trackprice=false)
// 警报示例 (可选)
// if isBigUpDay
// alert("纳斯达克当日涨幅达到 " + str.tostring(targetPercentage) + "% 或以上!", alert.freq_once_per_bar_close)
cc AJ TIME WITH TIME EXTENSIONcc AJ TIME WITH TIME EXTENSION – Flexible Session & Time-Based Highlighter (v6)
A fully customizable Pine Script® indicator that lets you highlight specific times of day using three different calculation methods and draw extended background rectangles (session boxes) forward in time.
Features:
• Up to 6 independent time rules
• Three selectable detection methods for each rule (you can combine them):
– Direct minute match (e.g. when the current minute = your target)
– Addition method (hour + minute = target value)
– Subtraction method (minute − hour = target value)
• Each rule can independently color candles (barcolor) and/or draw a price-level rectangle
• Rectangles automatically extend right for a user-defined duration (hours + minutes)
• Individual control over fill color, opacity, border color, and border thickness
• Works on any timeframe and any symbol
• Uses UTC+2 as reference timezone (common for many European/London-based sessions – change in code if needed)
Perfect for marking custom session windows, recurring intraday time windows, or any personal time-based confluences you trade.
No external data, no repainting, no hidden calculations – completely transparent and compliant with TradingView House Rules.
Educational / personal use only • Not financial advice
A simplified preview of the UIA Trend Engine. Shows core T/E/H/XUIA Lite – Trend Engine (Free Preview)
———————————————————————————————
This is the free preview edition of the UIA Lite Trend Engine.
It provides a clean, simplified introduction to UIA’s structure-based trend reading framework.
The goal is to help traders see the market through structural events rather than prediction or noise.
———————————
Core Structure Events
———————————
This preview displays four essential UIA structural markers:
• T — Trend Start
• E — Trend Extension
• H — Structural High / Low
• X — Trend Exit / Reversal
These labels offer a simple, intuitive way to understand when a trend begins, develops, forms key swing points, and exhausts.
———————————
What’s Included in the Preview
———————————
• Simplified trend logic using fixed moving averages
• Basic swing-based structure detection
• Clean and minimal visual labels
• Light sensitivity adjustment (Conservative / Normal / Aggressive)
• One-click “show all labels” toggle
This edition is intentionally lightweight.
Its purpose is to introduce the UIA methodology without revealing the full internal logic.
———————————
UIA Lite (Full Version)
———————————
The full UIA Lite Trend Engine includes:
• Advanced structure filtering
• Multi-layer pullback / body / shadow logic
• Smoother and more consistent trend detection
• Fine-tuned T/E/H/X placement
• Enhanced noise reduction
• More control parameters and customization
If you find value in this preview, the full version offers a much more refined trend-structure experience.
———————————
UIA Institute – Philosophy
———————————
UIA focuses on:
• Structure first
• Clarity over noise
• Systematic and repeatable market interpretation
No predictions.
No buy/sell signals.
Only structure, rhythm, and clean price behavior.
———————————
中文說明（補充）
———————————
UIA Lite（免費預覽版）展示了四大核心結構：
T（趨勢起點）、E（趨勢延伸）、H（結構高低點）、X（趨勢終止）。
透過最少的標記呈現最重要的趨勢骨架。
完整版 UIA Lite 提供更精細的濾波、更多參數、更平滑的結構表現，
是更完整的趨勢閱讀工具。
———————————
Thank you for trying the UIA Lite Trend Engine (Free Preview).
Stay tuned for upcoming releases from UIA Institute.
Stochastic Average (2 TFs)“Stoch (2 TFs)” plots two separate Stochastic oscillators from two different timeframes in a single pane and adds an average line of all four values (%K and %D from each timeframe). It is designed to quickly compare short-term vs higher-timeframe momentum and see whether they are aligned or diverging.
The script is an overlay-off oscillator, so it appears in its own window under the price chart.
How it works
The indicator calculates a classic Stochastic (%K and %D) on two user-selectable timeframes:
tf1 (default 30 minutes)
tf2 (default 60 minutes)
For each timeframe it:
Requests the high, low and close series from that timeframe using request.security.
Computes %K as the smoothed position of the close within the lookback high/low range.
Computes %D as a moving average of %K.
So you get four lines in total:
K1 and D1 from timeframe 1
K2 and D2 from timeframe 2
A small table in the top-right of the pane shows which timeframes are currently selected for TF1 and TF2, so you always know what you are looking at even if you change the chart timeframe.
Inputs
%K Length – lookback period used to find highest high and lowest low.
%K Smoothing – smoothing length for the %K line.
%D Smoothing – smoothing length for the %D line.
30 (tf1) – first Stochastic timeframe (default 30m).
%K Color (1) / %D Color (1) – colors for K1 and D1.
60 (tf2) – second Stochastic timeframe (default 60m).
%K Color (2) / %D Color (2) – colors for K2 and D2.
Average Color – color for the current bar average line.
Average Prev Color – color for the previous-bar average line.
You can put this indicator on any chart timeframe; the internals always use the two selected timeframes via request.security.
Visual elements
The pane shows:
Four Stochastic lines:
K1 and D1 (for tf1), K2 and D2 (for tf2), using the input colors.
Three horizontal reference levels:
80 (upper band), 50 (middle), 20 (lower band).
A light blue background band between 80 and 20 to make the overbought/oversold zone easier to see visually.
A 2-cell table in the top-right with the current values of tf1 and tf2.
These elements make it easy to see when each timeframe is overbought, oversold, or in the middle zone, and whether the two timeframes are synchronized or showing divergence.
Average and previous-average lines
At the bottom of the script there is a simple composite measure:
Sum KD adds K1 + D1 + K2 + D2 and divides by 4.
Prev Sum KD does the same for the previous bar ( ).
Both are plotted as separate lines:
Sum KD – current bar average of all four Stochastic values (main composite).
Prev Sum KD – previous bar average (for comparison).
This makes it easy to see whether overall multi-timeframe Stochastic momentum is increasing or decreasing from bar to bar without having to visually average four separate curves.
How to use
Typical uses:
See short- vs higher-timeframe Stochastic at a glance and trade only when they agree.
Look for divergence between TF1 and TF2 (e.g., lower timeframe overbought while higher timeframe still neutral).
Use the average lines (Sum KD and Prev Sum KD) as a simple “multi-TF momentum gauge” for confirmations or filters.
SMI 30m With Built-in Divergence AlertsStochastic Momentum Index SMI 30m is a simplified, single-timeframe Stochastic Momentum Index (SMI) designed for traders who want a clean momentum oscillator with clear crossover signals and automatic higher-timeframe filtering.
This version is locked to a 30-minute timeframe, making it consistent across any chart you place it on.
The script plots:
SMI Blue Line – the main momentum line
SMI Orange Line – the signal line (EMA-smoothed)
Overbought / Oversold regions
Optional colored background zones that highlight strong momentum extremes
Both the Blue and Orange plots are fully exposed, allowing users to manually create TradingView alerts for crossovers.
Additionally, the script includes two built-in alert conditions for traders who prefer automatic signals.
How the SMI is calculated
This script uses a double-EMA smoothing method to stabilize momentum:
Highest and lowest price ranges are calculated over the selected %K period.
Relative position of price inside that range is computed.
A double EMA is applied to both the range and the midpoint offset.
The SMI result is scaled to ±200 for clarity.
The Signal Line is a single-EMA applied to the SMI.
These parameters can be adjusted:
%K Length
%D Length
EMA Length
The default values match traditional 13-3-3 SMI settings.
Visual Components
1. SMI Blue Line
Represents the primary momentum movement.
Values above 40 indicate positive momentum; values below −40 indicate negative momentum.
2. SMI Orange Line
Acts as a smoothing signal line.
Crossovers between Blue and Orange often indicate momentum shifts.
3. Overbought / Oversold Zones
+40 = overbought boundary
−40 = oversold boundary
These levels help identify exhaustion points.
4. Gradient High/Low Zones
The script includes colored fill zones above +40 and below −40 to visually highlight extreme momentum regions.
Built-In Alerts
The indicator includes two pre-configured alert conditions:
1. Bearish Cross (Overbought)
Triggers when:
The Blue SMI crosses below the Orange SMI
AND the Blue SMI value is above 80
This represents a potential bearish divergence or momentum reversal from extreme highs.
Alert title:
SMI Bearish Cross
2. Bullish Cross (Oversold)
Triggers when:
The Blue SMI crosses above the Orange SMI
AND the Blue SMI value is below −80
This represents a potential bullish divergence or reversal from extreme lows.
Alert title:
SMI Bullish Cross
How to Use Alerts
After adding the indicator to your chart:
Open the Alerts panel
Select Condition → SMI (1 TF) 30m
Choose either:
SMI Bearish Cross
SMI Bullish Cross
Set your preferred trigger method:
Once per bar close
Once per bar
Once per minute
Create the alert
Traders can also manually create alerts for:
Blue crossing above Orange
Blue crossing below Orange
Because both plots are fully exposed.
Purpose
This indicator is intended for traders who want a stable, single-timeframe SMI with:
Clear structure
Extreme-zone highlighting
Exposed plots for custom alerts
Built-in reversal alerts
Consistent 30-minute TF regardless of chart
It can be used for:
Identifying trend reversals
Detecting momentum exhaustion
Confirming entries/exits
Spotting early divergence signals
Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear)
Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style)
This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays:
✅ Williams %R (10-period) – Yellow Line
This oscillator measures the market's position relative to recent highs and lows.
It plots on a 0% to 100% scale, where:
80–100% → Overbought region
20–0% → Oversold region
50% → Momentum equilibrium
Williams %R helps identify exhaustion, trend strength, and potential reversal zones.
✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars
%B shows where price is trading relative to the Bollinger Bands:
Above 50% → Price is in the upper half of the band (bullish pressure)
Below 50% → Price is in the lower half (bearish pressure)
Near 100% → Price pushing upper band (possible breakout)
Near 0% → Price testing lower band (possible breakdown)
The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength.
🎯 Why This Combination Works
Together, Williams %R and Bollinger %B reveal:
Momentum direction
Overbought/oversold conditions
Volatility compression & expansion
Trend continuation vs reversal zones
High-probability inflection points
Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands.
The combination helps identify whether momentum supports the current trend or is weakening.
🔍 Use Cases
Detect early trend reversals
Validate breakouts and breakdowns
Spot momentum failure in price extremes
Confirm pullbacks and continuation setups
Time entries and exits with higher precision
💡 Best For
Swing traders
Momentum traders
Trend-followers
Options traders (for timing premium decay or volatility expansion)
FTAP PRO TREND This indicator plots the 20- and 200-period exponential moving averages on the chart with a coloring rule and an entry signal based on the start bar of the FTAP method
Alertas QQQ Pre-MarketEste indicador tienen solo las dos medias móviles simples la de 20 y la de 200
