Solar Flares 2025 X & M Class This indicator plots vertical lines on your chart at the exact timestamps of the strongest solar flares recorded in 2025.
X-class flares are shown in light yellow
M-class flares are shown in light blue
All timestamps are based on the maximum intensity time of each flare (default timezone: UTC, adjustable in settings).
Features
Toggle X-class and M-class flares independently
Adjustable line width
Uses precise intraday timestamps (not daily approximations)
Designed as a timing overlay for market cycle research and event clustering
This tool is intended for exploratory and correlation analysis, allowing traders and researchers to visually compare periods of heightened solar activity with market behavior.
Data is hard-coded from the 2025 top solar flare catalog and loads once on script initialization for performance.
Ciclos
PowerDays - Day of the Week HUDDescription: Midnight HUD & Daily Session Dividers
This indicator is designed to provide a clean, "Heads-Up Display" (HUD) for daily session tracking. It solves the common problem of cluttered charts by pinning the days of the week to the top of the chart window in a perfectly horizontal line, ensuring they remain visible and aligned regardless of price volatility or vertical scrolling.
Key Features:
Strict Midnight Dividers: Unlike standard "New Day" indicators that trigger at the exchange open (which can be 6:00 PM for some futures or forex pairs), this indicator plots a vertical dashed line at exactly 00:00 based on your chart's time zone.
Centered HUD Labels: Days of the week (MONDAY, TUESDAY, etc.) are plotted in a level horizontal row at the top of the pane. Labels are mathematically centered between midnight dividers to provide a clear visual of the current trading day’s range.
"Error-Proof" Architecture: Built using primitive plotting methods to avoid common Pine Script "Undeclared Identifier" errors, ensuring high compatibility across different TradingView versions and devices.
Fully Customizable: Includes a built-in color picker to adjust the Royal Blue labels and session dividers to match your specific chart theme.
Global Liquidity Index (Major Economies Only)This iteration represents a revised adaptation of QuantitativeAlpha ’s framework for measuring global liquidity. It enables clear visibility into the current state of global liquidity—a foundational driver of risk asset prices.
Pattern Multi-TF Dashboardesigned to identify the three primary phases of price action: Contraction, Expansion, and Trend. By combining technical momentum (ADX) with price range volatility, this script provides a "top-down" view of the market, allowing traders to see how lower-timeframe price action fits into the broader market cycle.
Core Logic & Market Phases
The indicator classifies market conditions based on a proprietary blend of ADX (Average Directional Index) and price deviation from the Fair Market Value (FMV).
🟦 Contraction (Blue): Identified when ADX is low and price is consolidating within a narrow range relative to the FMV. This represents "market value" where orders are being accumulated.
🟧 Expansion (Orange): Triggered when ADX begins to rise and price pushes away from the FMV. This represents the initial breakout phase where the market is seeking a new value area.
🟩 Trend (Green): Confirmed when ADX remains high and price maintains direction. This is the "momentum" phase of the cycle.
⬜ Neutral (Gray): Default state when neither contraction nor strong momentum is detected.
Key Features
Multi-TF Dashboard: A dynamic, real-time table displaying the Phase, Bias (Bullish/Bearish), and FMV price for eight different timeframes (1m through Monthly).
Visual Bias Tracking: The "Bias" column is color-coded (Green for Bullish, Red for Bearish) based on whether price is trading above or below the Fair Market Value (Mid-point of the range).
On-Chart Inefficiencies (FVG): Automatically plots Green/Red triangles to highlight Fair Value Gaps, identifying areas of price imbalance where liquidity may be resting.
HTF FMV Overlay: Plots the Fair Market Value (Mid-line) of a user-defined Higher Timeframe (e.g., 4H) directly onto your current chart for easy trend reference.
Optimized Performance: Built specifically for Pine Script® v6, the dashboard is designed to update only on the most recent bar to ensure zero chart lag during manual scrolling.
How to Use
Identify the HTF Phase: Look at the background color of your chart to see the 4H or Daily phase.
Check for Alignment: Use the Dashboard to see if the 1m and 5m biases match the HTF bias.
Find Entry: Look for Inefficiencies (FVGs) that align with the Expansion or Trend phases for high-probability entry points.
Short-Term Cycle Investing Strategy This strategy use for short term cycle data use and useing phase accumilitain and distrubution and buy zone monthly weekly daily
Gann Market Cycle Alerts (Long-Term)according to gann time cycle move and buy and sell and side ways
DarkFutures Where/How/WhenTesting - for 15min Gold scalps
It identifies 4hr Where, 30m How and 5min When sareas of trade, then gives a signal to buy/sell based on that trend and momentum information using 8/21 EAM and Vwaps.
Global M2 with correlation table, by Colin (No linear - Trader Qno more linear line
Now works perfectly CRYPTOCAP:BTC / $ eth chart
make sure that the time frame is set as daily
Session Open/Close Labels - SimpleSimple and Minimal Label that shows Tokyo and EU open and close times on the chart
Dynamic Risk and RewardThe Dynamic Equity Projection (DEP Map) is an institutional-grade visual execution tool designed to automate risk-to-reward mapping directly on your chart. Unlike standard drawing tools, it is context-aware—calculating volatility and trend bias in real-time to provide a "live" projection of your trade's potential.Core Logic & Intelligence1. Trend-Filtered SentimentThe indicator uses a 200-period Exponential Moving Average (EMA) as a directional filter.Bullish Map: If the current price is above the EMA, the DEP Map projects a green "Long" zone.Bearish Map: If the price is below the EMA, it instantly flips to a red "Short" zone.This helps traders stay aligned with the primary market momentum, avoiding the trap of "trading against the tide."2. Volatility-Adaptive Risk (ATR)Rather than using arbitrary point distances, the DEP Map utilizes the Average True Range (ATR).It measures the market's "noise" level over the last 14 bars.The Stop Loss is set at a multiplier (default 1.5x) of this volatility, ensuring your stop is wide enough to survive market breathing but tight enough to maintain a high R:R.Technical FeaturesFeatureDescriptionProfessional BenefitProjection BoxA dynamic rectangle that extends into the "future" (right-side offset).Keeps the current price action clear while providing a visual goalpost for the trade.Persistent LogicUses advanced var object handling to prevent "ghosting" or label stacking.Ensures a clean, high-performance chart interface without clutter.R:R Equity LadderSegments the profit zone into specific milestones: 1.0, 2.0, 3.0, and the "Equity Target" (5.0).Allows for precise partial profit-taking and psychological target setting.Dashed SL LineA high-contrast red dashed line indicating the invalidation point.Provides an immediate visual cue of the trade's total risk.How to Use the DEP MapIdentify the Bias: Observe the color of the box. A green box suggests looking for buying opportunities; a red box suggests selling.Verify the Levels: The labels on the right edge of the box provide the exact price points for your Stop Loss and Take Profit orders.Execute & Manage:R:R 1.0: The "Safety Point." Many traders move their stop to breakeven here.R:R 2.0 - 3.0: The "Standard Exit." This is where the bulk of the trade's profit is usually captured.Equity Target: The "Home Run." Reserved for high-conviction trend extensions.
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context
Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval.
📊 KEY FEATURES:
- 365-Day High/Low with percentage distance from current price
- Range Position indicator (0-100%) with color-coded zones
- Comparison vs 365-day average price
- ATR-based volatility assessment
- Automatic adaptation for new assets (uses available data)
- Clean, professional table (top-left position)
- Optional visual lines on chart
🎯 WHAT IT SHOWS:
1. 365D High - Highest price in period + % below current
2. 365D Low - Lowest price in period + % above current
3. Range Position - Where price sits in the range:
• 🟢 Very Low (0-20%): Strong buy zone
• 🟢 Low (20-40%): Bullish territory
• 🟡 Mid (40-60%): Neutral zone
• 🟠 High (60-80%): Bearish territory
• 🔴 Very High (80-100%): Strong sell zone
4. vs 365D Average - Distance from mean (reversion signal)
5. Volatility - ATR as % of price (Low/Medium/High)
💡 USE CASES:
- Quick assessment of support/resistance zones
- Identify overbought/oversold conditions
- Mean reversion trading opportunities
- Risk assessment via volatility levels
- Works on ALL timeframes (always uses daily data)
- Perfect for new listings (auto-adjusts to available history)
⚙️ SETTINGS:
- Adjustable lookback period (30-730 days)
- Toggle high/low/average lines on chart
- White background optimized table
Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
Compression Dashboard & EMA Tracker by Herman Sangivera (Papua)Compression & EMA Probability Tracker By Herman Sangivera ( Papua )
Overview
The Compression & EMA Probability Tracker is a specialized price action tool designed to identify "Compression" (CP) zones—areas where price volatility narrows, and liquidity is systematically cleared. These zones often precede explosive breakouts or sharp reversals.
By integrating EMA 9 (Fast) and EMA 21 (Slow), this indicator analyzes the current trend momentum within the compression box and provides a real-time probability assessment of whether the market is likely to continue its trend or undergo a reversal.
How It Works
Compression Detection: Using a lookback period and an ATR-based threshold, the script automatically highlights periods of low volatility with a gray background box. This represents the "coiling" effect of the market.
Trend Alignment (EMA 9/21): * If EMA 9 > EMA 21 and price remains above them, the trend is considered bullish.
If EMA 9 < EMA 21 and price remains below them, the trend is considered bearish.
Real-Time Dashboard: A sleek on-chart panel displays:
Current Status: Identifies Rally, Drop, or Reversal warnings.
Continuation Probability (%): Likelihood of the current trend resuming after the breakout.
Reversal Probability (%): Likelihood of a trend change based on EMA crossovers inside the box.
Key Features
Automatic Box Plotting: Visually defines the range of the compression.
Dynamic Dashboard: High-visibility panel showing trend strength and probabilities.
Highly Customizable: Adjust EMA lengths, ATR sensitivity, and dashboard position to fit your trading style.
How to Trade with this Indicator
Trend Continuation: Look for a breakout in the direction of the EMA alignment (e.g., price breaks above the box while EMA 9 is above EMA 21). This is high-probability when the dashboard shows >70% Trend Probability.
Reversal: Watch for the price to cross back into the box and for the EMA 9 to cross the EMA 21. This shift in momentum often signals a trap or a trend exhaustion.
Disclaimer: This indicator is for educational and analytical purposes only. Trading involves significant risk, and past performance (probabilities) does not guarantee future results. Always use proper stop-loss management.
Leader Stock ScannerLeader Stock Scanner, Testing using AI
✅ How it works:
Relative Strength (RS) vs SPY – RS above 80 marks strong leaders.
Trend Alignment – 50 EMA > 150 EMA > 200 EMA and price above all EMAs.
Liquidity Filter – 20-day average volume > 500k.
Price Filter – avoids low-priced microcap traps (< $10).
Output – signals a “triangle up” on chart and can trigger alerts.
ICT + AVP + CHoCH (Smart Money)just tried to check concept of ict avp and choch for trading in various charts
SAS 4H Positional ScreenerSAS 4H Positional Screener is a structure-based trend filter designed for 4-hour positional trading in Indian large-cap stocks.
It identifies high-probability bullish setups by combining trend alignment, price acceptance, and institutional market structure.
This screener is not a buy/sell strategy.
It is a professional pre-trade filter used to shortlist stocks that are ready or near-ready for LONG trades.
Crypto Momentum OscillatorThe indicator uses an adaptive weighting system that dynamically adjusts component importance based on rolling correlations with BTC, creating a composite master score that signals optimal entry/exit conditions when macro tailwinds align with crypto momentum.
Trend-cycle reversion (multi-timeframe)Trend-cycle reversion (multi-timeframe) is a mean-reversion “stretch” gauge built around a simple idea: price often deviates from its recent path (trend + dominant swing rhythm), and those deviations become more actionable when you scale them by volatility and express them as a standardized score.
This script models the last N bars as:
1) a linear trend (to capture drift), plus
2) a single dominant cycle (to capture the most prominent oscillation inside the same window).
It then measures how far current price is from the model’s next-bar projection, normalizes that distance by ATR (volatility), and finally converts the result into a rolling Z-score. The output is displayed as a multi-timeframe dashboard so you can see “stretch vs. fit” across several time compressions at once.
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What you see on the chart
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The indicator draws a table (overlay) with up to 12 rows (configurable), one per timeframe from your CSV list.
Each row shows:
• TF: The timeframe being evaluated (e.g., 1, 5, 15, 60, 240, D).
• Z: The current Z-score of the volatility-scaled model gap on that timeframe.
• State: A simple interpretation using your Z threshold:
- “Short ▼” when Z > +threshold (price is extended above the model path)
- “Long ▲” when Z < −threshold (price is extended below the model path)
- “Hold •” when inside the band (not unusually stretched)
Colors follow the same logic: red for high positive Z, green for high negative Z, gray when neutral or unavailable.
Important: “Long/Short” here describes the direction of mean-reversion pressure (over/under the fitted path), not a complete trading system by itself.
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How it works (plain-English math)
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1) Optional log transform
If “Fit on log(price)” is enabled, the model runs on log(price) instead of raw price. This is often useful for markets that behave multiplicatively (large percentage moves, long-term exponential growth), because distances become closer to “percent-like” rather than absolute dollars.
2) Trend fit (linear regression in the window)
Over the last Window Length bars, the script estimates a straight-line trend. Think of this as the baseline path that best explains the window if you ignore swings.
3) Cycle search (best period by least-squares error)
After removing the linear trend, the script searches for a single sinusoidal cycle period between:
• Min Period and Max Period (in bars), stepping by Period Step.
For each candidate period, it computes the best-fitting sine+cosine components and measures the remaining error (SSE). The period with the smallest SSE is selected as the “best” cycle for that window.
To reduce recalculation cost and to keep the chosen cycle from flapping every bar, the script re-runs this period search only every “Re-search best period every N bars”. Between searches, it keeps using the last best period.
4) Next-bar projection and “gap”
Using the fitted trend + fitted cycle, the script projects the model value one bar ahead (relative to the window indexing). It then computes:
gap = (current value) − (projected value)
If “Invert sign” is enabled, the gap is multiplied by −1. This doesn’t change magnitude, it only flips interpretation (useful if you prefer the opposite sign convention).
5) Volatility scaling via ATR
The raw gap is divided by ATR to make it comparable across symbols and regimes. If you are fitting on log(price), ATR is also computed in log space using a log-based true range, then smoothed similarly (so the scale is consistent).
This produces a “gap in ATR units”.
6) Z-score standardization
Finally, the script computes a rolling Z-score of the ATR-scaled gap over “Z-score length”:
Z = (gapATR − mean(gapATR)) / stdev(gapATR)
This is what appears in the table. The Z-score answers: “How unusual is today’s model deviation compared to the last Z-score length observations?”
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How to interpret the Z-score
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Z near 0:
Price is close to the model path relative to recent volatility (nothing unusual).
Z above +threshold:
Price is meaningfully ABOVE the fitted path (stretched up). This can be read as elevated downside mean-reversion pressure — but it can also persist during strong trends.
Z below −threshold:
Price is meaningfully BELOW the fitted path (stretched down). This can be read as elevated upside mean-reversion pressure — but it can also persist during fast selloffs.
A practical way to use this indicator is to treat it as a “context filter” or “risk tool”:
• Fading extremes: look for mean-reversion setups when Z is beyond the threshold and price action confirms (e.g., momentum stalls, structure breaks, volatility contraction/expansion cues).
• Trend-aware reversion: only take “reversion” signals in the direction permitted by your separate trend filter (higher-timeframe trend, moving average regime, market structure, etc.).
• Take-profit / risk management: in a trend-following strategy, extremes can be used as partial profit zones or as “don’t chase here” warnings.
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Multi-timeframe (MTF) notes
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Each table row is computed with request.security() on that timeframe with no lookahead, so it is not using future bars to form the value.
However, like any live indicator, the value for an actively forming bar can change until that bar closes (especially on the lower timeframes). Also, higher-timeframe rows update when that higher-timeframe bar updates/closes.
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Inputs (what to change first)
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If you only change a few settings, start here:
• Window Length:
Controls how much history the model uses. Larger = smoother/stabler, but slower to adapt.
• Min/Max Period + Step:
Controls the cycle search range and granularity.
- Wider ranges can capture more possibilities but cost more computation.
- Smaller steps can find a closer match but also cost more.
• Re-search every N bars:
Higher = faster performance and more stability; lower = more adaptive but can be noisier.
• ATR length (scale gap):
Controls the volatility scale. Shorter reacts faster to volatility changes; longer is steadier.
• Z-score length:
Controls how “rare” extremes are. Longer lengths make Z more stable, but require more history and adapt slower to regime shifts.
• Z threshold:
Defines when the table labels “Long/Short”. Common choices are 1.5–2.5 depending on how selective you want extremes to be.
• Timeframes (CSV) + Max table rows:
Controls what you see in the dashboard.
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Limitations and expectations
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This is a single-cycle, windowed model. Markets can be multi-cycle, non-sinusoidal, or structurally shifting; in those cases the “best period” is simply the best approximation inside the window, not a guarantee of a true underlying rhythm.
Z-score extremes are not automatic reversal calls. In strong trends or during volatility shocks, Z can stay extreme longer than expected. Use this as a measurement tool, then combine it with your own confirmation and risk management.
This indicator is for analysis/education and does not provide financial advice.
ICT Weekly Profile [KTY]【ICT Weekly Profile】📊
A tool for analyzing weekly price structure based on ICT concepts.
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📊 FEATURES
- PWH/PWL (Previous Week High/Low)
- Key liquidity levels where stops cluster
- Watch for sweeps and reversals
- PW Open/Close
- Tend to act as support/resistance
- Extended into current week for reference
- Range Box
- Visual display of previous week's range
- Price inside = Consolidation
- Price breaks out = Potential trend start
- Monday Range
- Monday often sets weekly high or low
- Mid-week sweeps are common
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✅ BEST FOR
- Swing traders
- Position traders
- Weekly bias analysis
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
Stage 2 Weinstein Entry - Volumi & SMA (SNDK-like)beta testing stage 2 weinstein
allow to have signal when candle are over SMA 150 with volume
ICT Kill Zone [KTY]ICT Kill Zone Indicator
This indicator displays ICT Kill Zones, which are high-liquidity trading periods during major exchange opening hours.
Smart money tends to make significant moves during these times, resulting in increased volatility and trading volume.
Four Kill Zones
- AS KZ (Asian): Lower volatility, range formation period
- LDN KZ (London): European session start, liquidity surge
- NY KZ (New York): Europe + US overlap, strongest moves
- LDN CL KZ (London Close): London closing, position unwinding period
Market Hours Display
- Shows actual trading hours for Asian, London, and New York markets
- High/low lines for each session
Session Indicators
- Visual markers at the bottom of chart showing active kill zones
- Labels when each kill zone begins
1. Identify which kill zone is currently active
2. Signals during kill zones (CHoCH/BOS, OB, FVG) have higher significance
3. Watch for Asian range breakout in London/New York sessions
4. Be cautious of false moves outside kill zone hours
Pro Tips:
- New York kill zone typically has the strongest moves
- London open often sets the daily direction
- Asian session forms the range that gets broken later
- Combine kill zones with other ICT concepts for best results
Show Kill Zones: Toggle kill zone display on/off
Show Market Hours: Toggle market hours lines on/off
Show Latest Data Only: Display only the most recent kill zone
Daylight Saving Time: Apply DST adjustment (On/Off)
Asian Kill Zone Started
London Kill Zone Started
New York Kill Zone Started
London Close Kill Zone Started
This indicator is designed for educational purposes.
Kill zones only display on 15-minute or lower timeframes.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!






















