Mum Formasyonları TespitiIt is used to detect candles.
It is designed to analyze all the candles that form.
The most frequently formed candles are displayed on the price chart.
Sentiment
VIX/VVIX Spike RiskVIX/VVIX Spike Risk Analyzer
The VIX/VVIX Spike Risk Analyzer analyzes historical VIX behavior under similar market conditions to forecast future VIX spike risk.
By combining current VIX and VVIX levels as dual filters, it identifies historical precedents and calculates the probability and magnitude of VIX spikes over the next 1, 5, and 10 trading days.
IMPORTANT: This indicator must be applied to the VIX chart (CBOE:VIX) to function correctly.
Methodology
1. Dual-Filter Pattern Matching
The indicator uses both VIX and VVIX as simultaneous filters to identify historically analogous market conditions:
By requiring BOTH metrics to match historical levels, the indicator creates more precise market condition filters than using VIX alone. This dual-filter approach significantly improves predictive accuracy because:
VIX alone might be at 15, but VVIX can tell us if that 15 is stable (low VVIX) or explosive (high VVIX)
High VVIX + Low VIX often precedes major spikes
Low VVIX + Low VIX suggests sustained calm
2. Tolerance Settings
VIX Matching (Default: ±10% Relative)
Uses relative percentage matching for consistency across different VIX regimes
Example: VIX at 15 matches 13.5-16.5 (±10%)
Can switch to absolute tolerance (±5 points) if preferred
VVIX Matching (Default: ±10 Points Absolute)
Uses absolute point matching as VVIX scales differently
Example: VVIX at 100 matches 90-110
Can switch to relative percentage if preferred
3. Historical Analysis Window
The indicator scans up to 500 bars backward (limited by VVIX data availability) to find all historical periods where both VIX and VVIX were at similar levels. Each match becomes a "sample" for statistical analysis.
4. Forward-Looking Spike Analysis
For each historical match, the indicator measures VIX behavior over the next 1, 5, and 10 days
Display Metrics Explained
Average Highest Spike
Shows the average of the maximum VIX spikes observed.
Highest Single Spike
Shows the single largest spike ever recorded
Probability No 10% Spike
Shows what percentage of historical cases stayed BELOW a 10% spike:
Probability No 20% Spike
Shows what percentage of historical cases stayed BELOW a 20% spike:
Note : You'll see many more shaded bars than the sample count because each match creates up to 5 consecutive shaded bars (bars 1-5 after the match all "look back" and see it).
Short Volatility Strategies:
Enter when there's a LOW probability of big vol spikes based on today's metrics
Long Volatility Strategies
Enter when there's a HIGH probability of big vol spikes based on today's metrics
VIX Regime AnalyzerVIX Regime Analyzer
The VIX Regime Analyzer is an analytical tool that examines historical VIX patterns to provide insights into how your asset typically performs under similar volatility conditions.
Key Features:
Historical Pattern Matching: Automatically scans up to 1,000 bars of history to find all periods when VIX was at levels similar to today, using customizable tolerance ranges (absolute or percentage-based).
Forward-Looking Statistics: For each VIX regime match, calculates what actually happened to your asset over the next 1, 5, 10, and 20 trading days, providing both average returns and probability of positive outcomes.
Regime Classification System: Intelligently categorizes the current market environment as bullish or bearish: Visual Historical Context:
Background shading throughout your chart highlights every historical period when VIX matched current levels, color-coded by subsequent performance (green for gains, red for losses).
User Inputs:
VIX Level Tolerance (+/-): How closely VIX must match (default: ±5 points)
Use Relative Tolerance (%): Switch to percentage-based matching for consistency across different VIX levels
Lookback Period: How many bars to analyze
Highlight Historical VIX Matches: Toggle background highlighting of past matching periods
The Data Table
The statistics box appears in the right handside of your chart and contains three main sections:
Section 1: VIX REGIME
Current VIX: The live VIX closing price
Range: The tolerance band being searched (e.g., if VIX is 18 with ±5 tolerance, range is 13-23)
Historical Samples: Number of matching periods found in the lookback window (minimum 10 required for statistical validity)
Section 2: FORWARD RETURN
Shows the average percentage change in your asset over different timeframes following similar VIX levels:
Avg Next Day: What typically happened by the next trading session
Avg Next 5 Days: Average 5-day forward performance
Avg Next 10 Days: Average 10-day forward performance
Avg Next 20 Days: Average 20-day forward performance (approximately 1 month)
Section 3: PROBABILITY UP
Shows the win rate - the percentage of times your asset closed higher after VIX matched current levels:
Next Day: Probability of being up the next session
Next 5 Days: Probability of being up after 5 days
Next 10 Days: Probability of being up after 10 days
Next 20 Days: Probability of being up after 20 days
Colors:
🟢 Green: Bullish regimes (various strengths)
🔴 Red: Bearish regimes (various strengths)
🟡 Yellow: Choppy/uncertain regime
When "Highlight Historical VIX Matches" is enabled:
Scroll back through your chart and you'll see colored backgrounds highlighting every period when VIX matched today's level. The color tells you whether that match led to gains (green) or losses (red). This provides instant visual pattern recognition - you can quickly see if similar VIX levels historically led to bullish or bearish outcomes.
Practical Example:
If you see that most historical periods with similar VIX levels are highlighted in green, it suggests the current VIX level has historically been a bullish signal for your asset.
How The Indicator Makes Decisions
The regime classification uses both magnitude AND probability to avoid false signals:
Example of Strong Classification:
Average 5-day return: +1.5%
Win rate: 65%
Result: STRONG BULLISH (both high return and high probability)
Example of Weak Signal:
Average 5-day return: +2.0%
Win rate: 35%
Result: CHOPPY (high average but low consistency = unreliable)
This dual-factor approach ensures the indicator doesn't mislead you with regimes that had a few huge winners but mostly losers, or vice versa.
Best Practices
Combine with your existing strategy: Use this as a regime filter rather than standalone signals
Check sample size: More historical matches = more reliable statistics
Consider multiple timeframes: If 5-day and 20-day metrics disagree, proceed with caution
Asset-specific tuning: Different assets may require different tolerance settings
VIX spikes: The indicator is particularly useful during VIX spikes to understand if panic is justified
What Makes This Different
Unlike simple VIX indicators that just plot the fear index, this tool:
Quantifies the actual impact of VIX levels on YOUR specific asset
Provides probability-based forecasts rather than subjective interpretation
Shows historical context visually so you can see patterns at a glance
Uses rigorous statistical criteria to avoid false regime classifications
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does
It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics.
This reveals deep conviction among long-term ETH holders
Core Concept: Direct 6-Month Dormancy
The indicator uses two precise on-chain signals:
Total Unique ETH Addresses
From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES
Counts every address ever used on Ethereum
Addresses Inactive ≥ 180 Days
From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS
Counts every address that has not sent or received ETH in 6+ months
Sleepy ETH = Dormant ≥ 180 Days
Sleepy Ratio % = (Sleepy / Total) × 100
This is not an estimate — it’s direct, real dormancy.
Why 6-Month Dormancy Matters
Short-term activity (7-day) = noise from DeFi, NFTs, trading
180-day inactivity = true HODLing — coins untouched through entire market cycles
Historically:
Rising dormancy → supply drying up → bullish pressure
Falling dormancy → long-term holders selling → bearish warning
How It Works (Step-by-Step)
Fetches daily data from Glassnode (Pro+) or CryptoQuant (free)
Selects real data if available; otherwise uses robust fallback
Calculates raw sleepy wallets = addresses inactive ≥ 180 days
Smooths the signal with a 21-day simple moving average (SMA) to filter noise
Computes Sleepy Ratio % for instant conviction reading
Displays live info table with exact values on every bar
How to Use It
Signal
Interpretation
Suggested Action
Sleepy Ratio > 75% and rising
Extreme long-term HODLing
Strong accumulation — buy/hold
Smooth Sleepy trending up
Dormancy growing over 21 days
Bullish supply shock forming
Sleepy Ratio < 68% and falling
Long-term coins re-entering circulation
Caution — possible distribution
Smooth Sleepy dropping fast
HODLers breaking after 6+ months
Bearish warning — consider exits
Use on Daily (D) or Weekly (W) charts for clean, reliable signals.
Pro+ vs Free Mode
Mode
Data Source
Accuracy
Pro+ (Glassnode ON)
Real 180-day dormancy metric
100% precise
Free (Glassnode OFF)
CryptoQuant + price-scaled estimate
~80% historical correlation
Toggle in settings: Use Glassnode Data
What Makes This Indicator Original
First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS
No fake math — uses true inactivity, not active address subtraction
Dual-source logic ensures usability on any TradingView plan
Dual output: raw sleepy count + 21-day SMA for precision and trend
Live info table shows real-time values and data source
NQ YM Correlogram Meter TypeOverview
This indicator provides a real-time, visual "meter" of the correlation between the Nasdaq 100 (NQ) and the Dow Jones (YM) futures. It is designed as a clean, non-intrusive dashboard panel that displays only the current correlation value, making it an ideal companion for pairs traders who need to see the live relationship at a glance.
Unlike a traditional oscillator that plots historical data, this tool focuses exclusively on the "right now" to aid in immediate trade decisions.
Key Features
Real-Time Correlation Meter: A single vertical bar displays the current correlation, visually mapping the -1.0 to +1.0 range.
Clear Visual Cues: The bar's color gradient (from red for negative correlation to green for positive correlation) and fill level provide an instant understanding of the market relationship.
Precise Value Display: The exact numerical correlation (e.g., 0.85 or -0.50) is shown clearly at the bottom of the meter.
Contextual Y-Axis: Static labels (+1.0, +0.5, 0.0, -0.5) provide quick reference points for the meter's reading.
Dashboard Panel: Renders cleanly as an overlay table on the right side of your chart, saving screen real estate.
How to Use
This indicator is best used as a confirmation tool alongside a primary pairs trading strategy or a historical correlation oscillator.
High Green Bar (near +1.0): Indicates a strong positive correlation. NQ and YM are moving in sync.
Bar near 0.0: Indicates little to no linear relationship.
Low Red Bar (near -1.0): Indicates a strong negative (inverse) correlation. NQ and YM are moving in opposite directions.
For a pairs trader, this meter provides an instant check to confirm if the two assets are in their expected state of correlation at the moment of execution.
Settings & Customization
Correlation Period: Set the lookback length for the correlation calculation.
Symbols: Fully customizable, though it defaults to YM1! and NQ1!.
Panel Appearance: Adjust the Table Size (Small/Large) and Chart Theme (Light/Dark).
Text Size: Independently control the font size for the numerical Value Text and the Y-Axis Labels to perfectly fit your display.
NQ YM Correlation 1 min dataOverview
This indicator plots the correlation between Nasdaq 100 (NQ) and Dow Jones (YM) futures. It is specifically designed to act as an "Engine RPM" gauge for pairs traders who trade divergence or spread breakouts—not mean reversion.
To ensure consistent readings, this indicator always calculates using a 1-minute timeframe data, regardless of the chart timeframe you are currently viewing.
The core idea is:
High Correlation (Blue Zone): "Low RPM" or "Engine Idle." NQ and YM are moving together. The spread is flat. This is a no-trade zone.
Low Correlation (Red Zone): "High RPM" or "Engine Hot." NQ and YM are diverging. The spread is moving. This is the primary trade zone.
[KF] Multi-Duration Rate Expectations IndicatorAfter last fed cut in Oct then following jump in rates, I was frustrated at not having access to good rate expectations vs actual because the market usually prices in prior to fed action. This indicator was developed to make futures market rate expectations accessible and interpretable without requiring professional bond analytics systems.
Summary
This Pine Script indicator reveals what the futures market expects for interest rates across three key durations: Fed Funds (overnight), 2-Year, and 10-Year Treasury yields. By comparing futures-implied rates against current spot yields, it provides a clear visual signal of whether the market expects rates to rise, fall, or remain steady.
Understanding Rate Futures
Fed Funds futures (ZQ1!) use a simple design where the expected rate equals 100 minus the futures price. If ZQ1! trades at 96.12, the market expects a 3.88% Fed Funds rate. Treasury futures work differently - they trade as bond prices (typically 102-115) that move inversely to yields. Converting Treasury futures to implied yields requires complex bond mathematics involving duration and conversion factors.
This indicator solves the Treasury futures complexity by implementing a self-calibrating sensitivity model. It observes the historical relationship between futures prices and yields, then uses this to project rate expectations. The model also compares front-month to next-month contracts to detect expected rate direction, automatically adapting as market conditions change.
How to Use
Add the indicator to any chart and select your desired duration in the settings. The display shows the futures-implied rate, current yield, and the difference between them. Green indicates the market expects higher rates, red means lower expectations, and gray shows expectations in line with current rates.
The indicator excels at identifying divergences between market expectations and current rates, which often precede rate movements or futures repricing. Comparing expectations across different durations reveals insights about yield curve positioning and Fed policy anticipation.
Technical Note
While Fed Funds futures provide exact rate expectations, Treasury futures conversions are sophisticated approximations that provide reliable directional signals and reasonable magnitude estimates sufficient for most trading applications.
Dominus US Indici - Core4 (ES,NQ,YM,RTY) - EditabileOne-liner
“Dominus US Indici ranks ES, NQ, YM, RTY at the NY open using a blended Score (return from window start + VWAP delta) to highlight the strongest long/short and give clean BUY/SELL signals.”
Short paragraph
“Dominus US Indici analyzes the four core US indices (ES, NQ, YM, RTY) from the New York open. It builds a single Score by combining momentum from the window start with distance from VWAP, ranks the indices, and flags only the top, high-quality opportunity. Optional ‘Alpha vs S1’ (beta-neutral), macro gate (DXY & US10Y), editable symbols/timezone, and a freeze snapshot keep decisions consistent.”
Bullets
Core4: ES, NQ, YM, RTY (editable).
Score = Return from start + VWAP delta (weighted).
Live table + ranking; threshold → BUY/SELL signals.
Optional Alpha vs S1 and macro filter (DXY, US10Y).
Custom window/timezone + freeze at window end.
If you want, I can add a tighter IG caption + hashtags in your Dominus style.
Fear–Greed Index📈 Fear–Greed Index
This indicator provides a sophisticated, multi-faceted measure of market sentiment, plotting it as an oscillator that ranges from -100 (Extreme Fear) to +100 (Extreme Greed).
Unlike standard indicators like RSI or MACD, this tool is built on principles from behavioral finance and social physics to model the complex psychology of the market. It does not use any of TradingView's built-in math functions and instead calculates everything from scratch.
🤔 How It Works: The Three-Model Approach
The final index is a comprehensive blend of three different academic models, each calculated across three distinct time horizons (Short, Mid, and Long) to capture sentiment at different scales.
Prospect Theory (CPT): This model, based on Nobel Prize-winning work, evaluates how traders perceive gains and losses. It assumes that the pain of a loss is felt more strongly than the pleasure of an equal gain, modeling the market's asymmetric emotional response.
Herding (Brock–Durlauf): This component measures the "follow the crowd" instinct. It analyzes the synchronization of positive and negative returns to determine if traders are acting in a coordinated, "herd-like" manner, which is a classic sign of building fear or greed.
Social Impact Theory (SIT): This model assesses how social forces influence market participants.
It combines three factors:
Strength (S): The magnitude of recent price moves (volatility).
Immediacy (I): How recently the most significant price action occurred.
Number (N): The level of market participation (volume).
The indicator calculates all three models for a Short, Mid, and Long lookback period. It then aggregates these nine components (3 models x 3 timeframes) using customizable weights to produce a single, final Fear–Greed Index value.
Interpretar How to Read the Index
Main Line: This is the final FGI score.
Lime/Green: Indicates Greed (positive values).
Red: Indicates Fear (negative values).
Fading Color: The color becomes more transparent as the index approaches the '0' (Neutral) line, and more solid as it moves toward the extremes.
Key Zones:
+100 to +30 (Extreme Greed): The market is highly euphoric and potentially overbought. This can be a contrarian signal for caution or profit-taking.
+30 to +18 (Greed Zone): Strong bullish sentiment.
+18 to -18 (Neutral Zone): The market is undecided, or fear and greed are in balance.
-18 to -30 (Fear Zone): Strong bearish sentiment.
-30 to -100 (Extreme Fear): The market is in a state of panic and may be oversold. This can be a contrarian signal for potential buying opportunities.
Reference Plots: The indicator also plots the aggregated scores for each of the three models (Herding, Prospect, and SIT) as faint, secondary lines. This allows you to see which component is driving the overall sentiment.
⚙️ Settings & Customization
This indicator is highly tunable, allowing you to adjust its sensitivity and component makeup.
Time Windows:
Short window: Lookback period for short-term sentiment.
Mid window: Lookback for medium-term sentiment.
Long window: Lookback for long-term sentiment.
Model Aggregation Weights:
Weight CPT, Weight Herding, Weight SIT: Control how much each of the three behavioral models contributes to the final score (they should sum to 1.0).
Cross-Horizon Weights:
Weight Short, Weight Mid, Weight Long: Control the influence of each timeframe on the final score (they should also sum to 1.0).
sensex 9-18-50 + VWAP (VWAP-close confirmation)Description:
This script plots EMA 9, 18, and 50 along with VWAP to identify directional bias in Sensex. A buy or sell signal is generated only when all three EMAs align in sequence and a confirmed 7-minute candle closes above or below the VWAP, helping filter trades with institutional bias confirmation.
3D Session Clock | Live Time with Sessions [CHE] 3D Session Clock | Live Time with Sessions — Projects a perspective clock face onto the chart to display current time and market session periods for enhanced situational awareness during trading hours.
Summary
This indicator renders a three-dimensional clock projection directly on the price chart, showing analog hands for hours, minutes, and seconds alongside a digital time readout. It overlays session arcs for major markets like New York, London, Tokyo, and Sydney, highlighting the active one with thicker lines and contrasting labels. By centralizing time and session visibility, it reduces the need to reference external clocks, allowing traders to maintain focus on price action while noting overlaps or transitions that influence volatility.
The design uses perspective projection to simulate depth, making the clock appear tilted for better readability on varying chart scales. Sessions are positioned radially outward from the main clock, with the current time marker pulsing on the relevant arc. This setup provides a static yet live-updating view, confirmed on bar close to avoid intrabar shifts.
Motivation: Why this design?
Traders often miss subtle session shifts amid fast-moving charts, leading to entries during low-liquidity periods or exits before peak activity. Standard chart tools lack integrated time visualization, forcing constant tab-switching. This indicator addresses that by embedding a customizable clock with session rings, ensuring time context is always in view without disrupting workflow.
What’s different vs. standard approaches?
- Reference baseline: Traditional session highlighters use simple background fills or vertical lines, which clutter the chart and ignore global time zones.
- Architecture differences:
- Perspective projection rotates and scales points to mimic 3D depth, unlike flat 2D drawings.
- Nested radial arcs for sessions, with dynamic radius assignment to avoid overlap.
- Live time calculation adjusted for user-selected time zones, including optional daylight savings offset.
- Practical effect: The tilted view prevents labels from bunching at chart edges, and active session emphasis draws the eye to liquidity hotspots, making multi-session overlaps immediately apparent for better timing.
How it works (technical)
The indicator calculates current time in the selected time zone by adjusting the system timestamp with a fixed offset, plus an optional one-hour bump for daylight savings. This yields hour, minute, and second values that drive hand positions: the hour hand advances slowly with fractional minute input, the minute hand ticks per 60 seconds, and the second hand sweeps fully each minute.
Points for the clock face and arcs are generated as arrays of coordinates, transformed via rotation around the x-axis to apply tilt, then projected onto chart space using a scaling factor based on depth. Radial lines mark every hour from zero to 23, extending to the outermost session ring. Session arcs span user-defined hour ranges, drawn as open polylines with step interpolation for smoothness.
On the last bar, all prior drawings are cleared, and new elements are added: filled clock circles, hand lines from center to tip, a small orbiting circle at the current time position, and centered labels for hours, sessions, and time. The active session is identified by checking if the current time falls within its range, then its arc thickens and label inverts colors. Initialization populates a timezone array once, with persistent bar time tracking for horizontal positioning.
Parameter Guide
Clock Size — Controls overall radius in pixels, affecting visibility on dense charts — Default: 200 — Larger values suit wide screens but may crowd small views; start smaller for mobile.
Camera Angle — Sets tilt from top-down (zero) to side (90 degrees), altering projection depth — Default: 45 — Steeper angles enhance readability on sloped trends but flatten at extremes.
Resolution — Defines polygon sides for circles and arcs, balancing smoothness and draw calls — Default: 64 — Higher improves curves on large clocks; lower aids performance on slow devices.
Hour/Minute/Second Hand Length — Scales each hand from center, with seconds longest for precision — Defaults: 100/150/180 — Proportional sizing prevents overlap; shorten for compact layouts.
Clock Base Color — Tints face and frame — Default: blue — Neutral shades reduce eye strain; match chart theme.
Hand Colors — Assigns distinct hues to each hand — Defaults: red/green/yellow — High contrast aids quick scans; avoid chart-matching to stand out.
Hour Label Size — Text scale for 1-12 markers — Default: normal — Larger for distant views, but risks clutter.
Digital Time Size — Scale for HH:MM:SS readout — Default: large — Matches clock for balance; tiny for minimalism.
Digital Time Vertical Offset — Shifts readout up (negative) or down — Default: -50 — Positions above clock to avoid hand interference.
Timezone — Selects reference city/offset — Default: New York (UTC-05) — Matches trading locale; verify offsets manually.
Summer Time (DST) — Adds one hour if active — Default: false — Enable for regions observing it; test transitions.
Show/Label/Session/Color for Each Market — Toggles arc, sets name, time window, and hue per session (New York/London/Tokyo/Sydney) — Defaults: true/"New York"/1300-2200/orange, etc. — Customize windows to local exchange hours; colors differentiate overlaps.
Reading & Interpretation
The analog face shows a blue-tinted circle with white 1-12 labels and gray hour ticks; hands extend from center in assigned colors, pointing to current positions. A white dot with orbiting ring marks exact time on the session arc. Digital readout below displays padded HH:MM:SS in white on black.
Active sessions glow with bold arcs and white labels on colored backgrounds; inactive ones use thin lines and colored text on light fills. Overlaps stack outward, with the innermost (New York) closest to the clock. If no session is active, the marker sits on the base ring.
Practical Workflows & Combinations
- Trend following: Enter longs during London-New York overlap (thicker dual arcs) confirmed by higher highs; filter with volume spikes.
- Exits/Stops: Tighten stops pre-Tokyo open if arc thickens, signaling volatility ramp; trail during Sydney for overnight holds.
- Multi-asset/Multi-TF: Defaults work across forex/stocks; on higher timeframes, enlarge clock size to counter bar spacing. Pair with session volume oscillators for confirmation.
Behavior, Constraints & Performance
Rendering occurs only on the last bar, using confirmed history for stable display; live bars update hands and marker without repainting prior elements. No security calls or higher timeframe fetches, so no lookahead bias.
Resource limits include 2000 bars back for positioning, 500 each for lines, labels, and boxes—sufficient for full sessions without overflow. Arrays hold timezone data statically. On very wide charts, projection may skew slightly due to fixed scale.
Known limits: Visual positioning drifts on extreme zooms; daylight savings assumes manual toggle, risking one-hour errors during changes.
Sensible Defaults & Quick Tuning
Start with New York timezone, 45-degree tilt, and all sessions enabled—these balance global coverage without clutter. For too-small visibility, bump clock size to 300 and resolution to 48. If labels overlap on narrow views, reduce hand lengths proportionally. To emphasize one session (e.g., London), disable others and widen its color contrast. For minimalism, set digital size to small and offset to -100.
What this indicator is—and isn’t
This is a visual time and session overlay to contextualize trading windows, not a signal generator or predictive tool. It complements price analysis and risk rules but requires manual interpretation. Use alongside order flow or momentum indicators for decisions.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Acknowledgments
This indicator draws inspiration from the open-source contributions of the TradingView community, whose advanced programming techniques have greatly influenced its development. Special thanks to LonesomeTheBlue for the innovative polyline handling and midpoint centering techniques in RSI Radar Multi Time Frame:
Gratitude also extends to LuxAlgo for the precise timezone calculations in Sessions:
Finally, appreciation to TradingView for their comprehensive documentation on polyline features, including the support article at www.tradingview.com and the blog post at www.tradingview.com These resources were instrumental in implementing smooth, dynamic drawings.
USD Session 8FX - LDN & NY (TF-invariant, Live + Table)What changed
Flexible session window
Removed the old fixed NY end-time selector.
Added new inputs so you can pick start time and length:
London: ldnStartSel (default 08:00) and ldnLenSel with options 45/60/90 minutes.
New York: nyStartSel (default 15:30) and nyLenSel with options 45/60/90 minutes.
The session string used by time(refTF, sess, tz) is now built dynamically as "HHMM-HHMM" from start + length (e.g., 1530-1630).
The label shown in the table (winTxt) auto-formats to HH:MM–HH:MM.
New time helpers
addMinutesHHMM() computes the end time from a "HHMM" start plus a minute length.
makeSess() produces the session string "HHMM-HHMM".
prettySess() converts "HHMM-HHMM" → "HH:MM-HH:MM".
(Kept on one line to avoid the “end of line without line continuation” error.)
Stability & UI fixes
Main table now uses table.new(f_pos(tablePos), ...) directly (no undeclared pos variable).
Trade Gate panel uses a properly initialized gatePosEnum before table.new(...) (fixes “Undeclared identifier”).
Minor cleanups; no logic changes.
What did NOT change
Scoring logic: returns → optional ATR normalization → weights → anti-USD vs USD-base averages → final score.
Thresholds: minAbsScore and live intrath alerts are unchanged.
VWAP Gate logic is the same (price vs VWAP consistency depending on USD Strong/Weak).
Freeze/Lock of values at session end is unchanged.
Alerts (session close bias, live threshold cross, and “Entry hint”) are unchanged.
Why this helps (practical impact)
Longer windows (e.g., NY 60/90, LDN 60/90) usually make the score more robust, filtering noise and reducing false signals—at the cost of a slightly slower signal.
You can now A/B test:
London: 45 vs 60 vs 90
New York: 45 vs 60 vs 90
without touching anything else; the indicator adapts automatically.
How to use
Choose Session (London / New York).
Set the start and length for that session.
The background highlight, the winTxt, and the entry/exit logic all follow the dynamic window.
Quick tips to reduce false signals
Try NY 60 or NY 90 and LDN 60 when volatility is choppy.
Keep ATR normalization ON (useATRnorm = true) for more comparable returns.
Consider raising minAbsScore slightly (e.g., from 0.12 → 0.15–0.20) if you still see noise.
Use the VWAP Gate panel: only act when Bias OK and at least one of the Top-3 pairs shows VWAP OK.
If you want, I can add quick presets (buttons) to jump between LDN 45/60/90 and NY 45/60/90, or plot two Scores side by side for direct comparison.
True Average PriceTrue Average Price
Overview
The indicator plots a single line representing the cumulative average closing price of any symbol you choose. It lets you project a long-term mean onto your active chart, which is useful when your favourite symbol offers limited history but you still want context from an index or data-rich feed.
How It Works
The script retrieves all available historical bars from the selected symbol, sums their closes, counts the bars, and divides the totals to compute the lifetime average. That value is projected onto the chart you are viewing so you can compare current price action to the broader historical mean.
Inputs
Use Symbol : Toggle on to select an alternate symbol; leave off to default to the current chart.
Symbol : Pick the data source used for the average when the toggle is enabled.
Line Color : Choose the display color of the average line.
Line Width : Adjust the thickness of the plotted line.
Usage Tips
Apply the indicator to exchanges with shallow history while sourcing the average from a complete index (e.g., INDEX:BTCUSD for crypto pairs).
Experiment with different symbols to understand how alternative data feeds influence the baseline level.
Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Buying/Selling PressureBuying/Selling Pressure - Volume-Based Market Sentiment
Buying/Selling Pressure identifies market dominance by separating volume into buying and selling components. The indicator uses Volume ATR normalization to create a universal pressure oscillator that works consistently across all markets and timeframes.
What is Buying/Selling Pressure?
This indicator answers a fundamental question: Are buyers or sellers in control? By analyzing how volume distributes within each bar, it calculates cumulative buying and selling pressure, then normalizes the result using Volume ATR for cross-market comparability.
Formula: × 100
Where Delta = Buying Volume - Selling Volume
Calculation Methods
Money Flow (Recommended):
Volume weighted by close position in bar range. Close near high = buying pressure, close near low = selling pressure.
Formula: / (high - low)
Simple Delta:
Basic approach where bullish bars = 100% buying, bearish bars = 100% selling.
Weighted Delta:
Volume weighted by body size relative to total range, focusing on candle strength.
Key Features
Volume ATR Normalization: Adapts to volume volatility for consistent readings across assets
Cumulative Delta: Tracks net buying/selling pressure over time (similar to OBV)
Signal Line: EMA smoothing for trend identification and crossover signals
Zero Line: Clear visual separation between buyer and seller dominance
Color-Coded Display: Green area = buyers control, red area = sellers control
Interpretation
Above Zero: Buyers dominating - cumulative buying pressure exceeds selling
Below Zero: Sellers dominating - cumulative selling pressure exceeds buying
Cross Signal Line: Momentum shift - pressure trend changing direction
Increasing Magnitude: Strengthening pressure in current direction
Decreasing Magnitude: Weakening pressure, potential reversal
Volume vs Pressure
High volume with low pressure indicates balanced battle between buyers and sellers. High pressure with high volume confirms strong directional conviction. This separation provides insights beyond traditional volume analysis.
Best Practices
Use with price action for confirmation
Divergences signal potential reversals (price makes new high/low but pressure doesn't)
Large volume with near-zero pressure = indecision, breakout preparation
Signal line crossovers provide momentum change signals
Extreme readings suggest potential exhaustion
Settings
Calculation Method: Choose Money Flow, Simple Delta, or Weighted Delta
EMA Length: Period for cumulative delta smoothing (default: 21)
Signal Line: Optional EMA of oscillator for crossover signals (default: 9)
Buying/Selling Pressure transforms volume analysis into actionable market sentiment, revealing whether buyers or sellers control price action beneath surface volatility.
This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always conduct thorough research and consider consulting with financial professionals before making investment decisions.
LAST UPA FOR DA DAYWell been fing around most the day now, TBH this is showing results , Much respect to all along the journey , mess with the setting make them natural colors for you
SC_Reversal Confirmation 30 minutes by Claude (Version 1)📉 When to Use
Use this setup when the stock is in a downtrend and a bullish reversal is anticipated.
🔍 Recommended Usage This model is designed for pullback phases, where the asset is declining and a reversal is expected. It helps filter out weak signals and waits for technical confirmation before triggering an entry.
✅ Entry Signal Green triangles appear only when all reversal conditions are fully met. Entry may occur slightly after the bottom, but with a reduced likelihood of false signals.
📊 Suggested Settings Apply on a 30-minute chart using a 100-period Exponential Moving Average (EMA) based on close. Recommended for Cobalt Chart 0.
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