Countdown, Trading Volume, Price, Time Period"Volume and Price Countdown Code: This code will display colors according to the closing status of different timeframes."
Ciclos
Swing High/Low ExtensionsSwing High/Low — Extensions (2 Plots + Drawings + Touch Signal)
What it does
This indicator finds Swing Highs/Lows using a symmetric length (same bars left & right), then creates horizontal extension levels that run to the right and stop at the first price touch (“extend until future intersection”).
It outputs:
Two plots showing the most recent active High/Low extension (great for alerts & strategy logic).
Line drawings for every detected swing (historical levels stay on the chart and end at the touch bar).
A hidden TouchSignal used to color bars and trigger alerts without distorting the price scale.
The design mirrors Sierra Chart’s “Swing High and Low” with “Extend Swings Until Future Intersection”, but implemented natively in Pine.
How it determines swings
Uses ta.pivothigh() / ta.pivotlow() with length bars left and right.
A swing is confirmed only after there are length bars to the right of the center.
How extensions/lines end
High extensions end when High ≥ level.
Low extensions end when Low ≤ level.
The corresponding line drawing is frozen on the touch bar; the most recent active line continues to extend each new bar.
Inputs
Swing Strength (Bars Left = Right) – symmetric pivot length.
Offset as Percentage – 1 = +1%; positive values push levels outward (High up / Low down), negative pull them inward.
Draw “Extend…Until Future Intersection” Lines – toggle line drawings on/off.
Line Width (Plots + Drawings) – thickness for plots and drawings.
HighExt Color / LowExt Color – colors for the two plots and drawings.
Touch Color – color to paint bars on the touch bar (doesn’t affect scale).
HighExt/LowExt Line Style – choose line style (Solid/Dashed/Dotted) for drawings.
Color Bars on Touch? – enable/disable bar coloring.
Bar Color on High Touch / Low Touch – separate bar colors for each side.
Bar Color Transparency (0..100) – opacity for the bar painting.
Plots
HighExt – latest active high extension only.
LowExt – latest active low extension only.
(Internally there is also a hidden “TouchSignal” plot used for bar coloring & alerts; it’s not displayed to keep the chart scale clean.)
Alerts
Three built-in alertconditions:
Any Extension Touched — triggers when either side is hit.
High Extension Touched — only high level touch.
Low Extension Touched — only low level touch.
Create alerts from the indicator’s “More” (⋯) menu → Add alert → choose one of the conditions.
Styling
Drawings use your selected style (Solid/Dashed/Dotted), color, and width.
Existing historical lines adopt new styles when the script recalculates.
Bar coloring highlights the exact touch candle; disable it if you prefer clean candles.
Notes & tips
Scale-safe: the TouchSignal is hidden (display=none), so it won’t distort the Y-axis.
Performance: TradingView limits scripts to ~500 line objects; this script uses max_lines_count=500. If you hit the cap on long histories, either increase timeframe or disable drawings and rely on the two plots + alerts.
Works on any symbol/timeframe; levels are rounded to the instrument’s minimum tick.
Intended use
For discretionary levels, alerting, and rule-based entries that react to first touch of recent swing extensions. Not financial advice—use at your own risk.
Buy/Sell Signals [WynTrader]My name is WynTrader. I cumulate 24 years of experience.
This Indicator produces Buy/Sell Signals using these features:
- Fast and Slow Moving averages (modifiable) optimized at EMA-8 and SMA-35
- Bollinger Bands (modifiable) optimized at Basis-18 and Multiplier-1
Also, the Buy/Sell Signals are conditioned by three Filters (optionable, modifiable) :
. Bollinger-Bands Lookback
. High-Low vs Candle Range %
. Distance from Fast and Slow Moving averages %
The Results Calculation presented in a Table are based :
- on the Current Chart Visible Range (optionable)
or
- on the specified TIme Frame Start and End Dates (modifiable)
The Table shows Calculation Results of the Buy and Sell Signals that are activated on the chart, with the Number of Trades (Signals), the Winning Points and the Win Rate %. The Buy&Hold starts calculation at the first Buy encountered.
So be surprised by my Buy/Sell Indicator. But always remember that the world is not perfect. The Graal Indicator, even with AI, doesn't already exist, maybe one day (all of us richier...), but not now. , depending on the chart product (stocks...), volatility, probabilities, unpredictable behaviour. , the moves, etc.
Enjoy
WynTrader
P. s. :
My name is WynTrader. I cumulate 24 years of experience. In 2001, I took an intensive technical analysis course taught by an exceptional friend, Cyril, who taught me everything I know. The foundation I gained through his teaching remains solid and relevant to this day, never failing me.
Before i made this Indicator, I have used many Trading View Buy/Sell Indicators using alone or combined RSI, SMI, OBV, MACD ATR, ADX, Neural, Fractal, Geometry, etc., that are already available for the Trading View community. A great thanks to those who give their time that help me build this tool.
Note that I'm not a programmer, so... ;-)
BTC Flow Dashboard : Spot Premium + OI + Funding + Cycle SignalsSpot Premium vs Perpetual Basket (%):
Tracks how aggressively perps are trading relative to spot, a leading indicator of speculative activity and leverage buildup.
Aggregated Open Interest Z-Score:
A normalized view of OI expansion/contraction across major exchanges (Binance, BitMEX, Bybit, Kraken, etc.), highlighting when leverage enters overheated zones.
Composite Funding Rate Analysis:
Calculates a TWAP-smoothed funding composite across major venues, with optional APR scaling, showing where perpetual markets are paying for long or short exposure.
Confluence Signal Engine:
Dynamically flags bullish or bearish market conditions based on premium behavior and leverage environment — including over-leverage warnings that often precede volatility spikes.
Extreme Cycle Tops & Bottoms (Experimental):
Optional signal module that highlights historically significant extremes (e.g., 2020 bottom or 2021 top) based on statistical Z-score thresholds across the three core metrics.
Notes & Tips
Works best on weekly or monthly timeframes for macro cycle analysis.
Daily and 3D views provide short-term leverage context but may produce more frequent signals.
The Extreme Signal Engine is experimental — not a trading signal on its own, but a contextual tool to support macro decision-making.
Mark Minervini Trend Template & SEPAMark Minervini Trend Template & SEPA Pro
This Pine Script distills Mark Minervini’s SEPA methodology into an institutional‑grade toolkit. It scores every bar against the 8‑point Trend Template, Weinstein stage, VCP dynamics, market health, weekly alignment, relative strength, and accumulation, then surfaces only the setups Minervini actually trades. The dashboard table (dark/light themes) summarizes compliance with each checklist item, portfolio heat, risk metrics, sector leadership, and market status, while on-chart markers with hover tooltips highlight perfect breakouts, VCPs, cheat entries, follow-through days, and exit triggers (stop, trailing MA, distribution, failed breakout). Advanced modules include sector rotation gating, follow-through-day logic, VCP structural tests (upper-third action, prior advance, volume dry-up), weekly confirmation, risk-based position sizing, and portfolio heat controls—making this a turn-key “trade like a champion” assistant ready for desk use or signal automation.
Turtle Soup Multi Timeframe (D + 30m)
This indicator indicates when there is a turtle soup with a 30-minute timeframe aligned with a one-day timeframe.
RSI DD – RSI Divergence DetectorRSI DD – RSI Divergence Detector (closed-source):
What it does:
Detects and plots regular and hidden RSI–price divergences using confirmed pivots on both series. Lines are drawn between the two most recent qualifying pivots; optional marks highlight OB/OS peaks at confirmation.
Detection method:
1. Compute RSI on a user-selected source and length. Optional EMA/SMA smoothing controls lag.
2. Build price and RSI pivot points with left/right lookbacks; a pivot confirms on the bar where right completes.
3. Pair the latest two pivots of the same type within a user-defined bar-distance window:
• Regular Bullish: price makes a lower low while RSI makes a higher low.
• Hidden Bullish: price makes a higher low while RSI makes a lower low.
• Regular Bearish: price makes a higher high while RSI makes a lower high.
• Hidden Bearish: price makes a lower high while RSI makes a higher high.
4. When a valid pair is found, draw a line on the RSI pane from the first RSI pivot to the second; color encodes divergence type.
5. Optional ticks mark RSI extremes when the confirming pivot is beyond OB/OS thresholds.
Inputs (key settings):
• RSI Period / Source: oscillator base.
• Pivot Lookback Left/Right: structure sensitivity; larger = fewer but stronger pivots.
• Min/Max Pairing Range: bars allowed between the two pivots; filters stale or too-tight pairs.
• Plot Toggles: enable/disable each divergence class.
• Signal Pair (visual): optional fast/slow MA pair and smoothing plotted as context; not used in detection.
• Levels: OB/OS and midline for visual regime.
Plots:
• RSI line.
• Optional RSI signal line.
• Midline (50), OB, OS levels.
• Colored divergence lines on RSI:
o Regular Bullish (aqua), Hidden Bullish (lime), Regular Bearish (yellow), Hidden Bearish (red).
• Optional OB/OS ticks at confirming pivots.
How to use:
• Works on any symbol and timeframe; higher timeframes reduce noise.
• Treat divergences as context. Combine with structure, trend, volume, and risk rules.
• Tighten stops or scale when divergence aligns with S/R and higher-TF bias.
• Increase right lookback and raise Min Range to reduce whipsaws; lower them to catch earlier turns.
Practical guidance:
• Swing trading: RSI 14, left=3/right=5, min=8/max=80, OB/OS 70/30.
• Intraday: RSI 14, left=2/right=3, min=4/max=40; consider slightly higher smoothing.
• If you see too many short lines, raise Min Range or increase right.
• If valid turns are missed, lower right or Min Range.
Limitations:
• Divergences can persist in strong trends.
• Pivot detection waits for confirmation, so signals are not predictive on the unconfirmed bar.
• OB/OS thresholds are conventional and not optimized to any asset.
Alerts (if you add alertcondition)
• Regular/Hidden Bullish/ Bearish detected on confirmation bar.
• Optional alert when RSI crosses back through midline after a divergence.
Version notes:
v2: pivot-pair range filter, optional OB/OS peak markers, object count management to prevent clutter, cosmetic controls, and visual signal pair.
Copyright © 2025 imaclone (Zen Silva). All rights reserved.
License: Private. No copying, sharing, or derivative works. Use limited to this TradingView script. Contact owner for access.
Key LevelsKey Levels Indicator
Description
The Key Levels indicator is a powerful tool for traders, displaying major institutional price levels from daily, weekly, and monthly timeframes on your chart. It plots horizontal lines for previous period highs, lows, and midpoints (50% levels), as well as current period opens, helping you identify critical support and resistance zones used by institutional traders. Labels are provided for the most recent levels, positioned at the rightmost bar for easy reference.
Features
Daily Levels: Plots Previous Day High, Previous Day Low, Day Open, and Previous Day 50% Level.
Weekly Levels: Plots Previous Week High, Previous Week Low, Week Open, and Previous Week 50% Level.
Monthly Levels: Plots Previous Month High, Previous Month Low, Month Open, and Previous Month 50% Level.
Customizable Colors: Adjust the color of each line via the settings panel to suit your chart preferences.
Customizable Labels: Enable/disable labels, adjust label size, and change the label background color for optimal visibility.
Clean Visualization: Lines are plotted with breaks at the start of each period, ensuring a clear and uncluttered display.
Settings
Show Labels: Toggle to show or hide all labels (default: enabled).
Label Size: Choose from "tiny," "small," "normal," "large," or "huge" to adjust label text size (default: normal).
Label Background Color: Customize the background color of labels to ensure text visibility (default: black).
Line Colors: Individual color pickers for each level (e.g., Previous Day High, Day Open), allowing full customization of line colors.
Usage
The Key Levels indicator is designed for futures markets, such as S&P 500 futures (ES), Nasdaq futures (NQ), or crude oil futures (CL), where institutional price levels like daily, weekly, and monthly highs, lows, and opens are key for getting into positions. For day trading, use these levels to identify short-term support and resistance for intraday entries and exits. For long-term trading, they provide context for swing positions or trend continuation, helping you align with institutional flow. Apply the indicator to a 1-hour or 15-minute timeframe to capture precise market structure. While optimized for futures, the indicator's key levels apply to every single thing that can be traded, including forex, stocks, and cryptocurrencies, making it versatile for all asset classes.
Notes
Labels are shown only for the current day, week, and month to focus on recent price action.
For best visibility, adjust the label background color if text blends into your chart background.
Ideal for traders analyzing major institutional levels for market structure and trading decisions.
US Construction Spending & Manufacturing Employment YoY % ChangeUsage Notes: Timeframe: Use a monthly chart, as TTLCONS and MANEMP are monthly data. Other timeframes result in interpolation.
Data Availability: As of October 2025, TTLCONS is available until July 2025 and MANEMP until August 2025 (automatically via TradingView).
The Unsung Heroes: Why C&M Are the True Indicators
Imagine the economy is a highly sensitive vehicle. Quarterly reported GDP is like a quarterly glance at the odometer—it's slow, often delayed, and clearly refers to the past. Anyone who wants to predict future developments needs something much faster.
This is where construction and manufacturing come into play. These two sectors are the machine builders of the economy and provide us with real-time feedback. They form the backbone of economic forecasting for several important reasons:
1. Monetary policy indicators: Both sectors are highly sensitive to monetary policy developments, such as interest rate changes. If developers are unable to finance large residential or commercial projects and manufacturers postpone capital-intensive factory expansions, for example, declines in construction demand would quickly affect other sectors.
2. The backbone of the secondary sector: These industries constitute the secondary sector of the economy, meaning they are concerned with the actual transformation and production of goods, not just the extraction of raw materials or the provision of intangible services. One could argue that while they only account for about 15% of GDP in the US, their impact is massive and cyclical.
3. The timeliness advantage: Forget quarterly lags. Both construction output and manufacturing employment data are released monthly. This timely, frequent data allows analysts to assess economic momentum much more quickly than if they had to wait for delayed GDP reports.
In the US, some analysts have even titled their articles with the bold claim: "Housing construction is the business cycle." Fluctuations in housing construction are frequent and large, and a decline in activity is almost always accompanied by a subsequent decline in GDP.
NF_PLASMA_SURGE 🧩 NF_PLASMA_SURGE (NightFury Systems)
Author: Lachin M. Akhmedov (aka NightFury)
⚙️ A volumetric impulse oscillator detecting real candle energy through body density, directional momentum, and normalized volatility thrust.
🧠 Core Concept:
Not another RSI. Not another MACD.
NF_PLASMA_SURGE isolates true directional impulse by measuring the physics of price:
Body Energy → how much of each candle’s range is real movement.
Volume Thrust → amplifies strong participation only.
Volatility Normalization → filters emotional spikes and fake momentum.
⚡ Outputs:
Toxic Green = Real buy impulse (surge ignition)
Red Inferno = Real sell impulse (energy drain)
⚡ marks = Charged bursts detected (|z| > threshold)
💫 Synergy:
Designed to integrate with NF_CYBER_FURY as its ignition companion —
Cyber powers the reactor; Plasma lights the core.
🧩 Recommended Stack:
NF_CYBER_FURY + NF_PLASMA_SURGE = The NightFury Reactor System
OPEX VIXEX datesUpdated ohlocracy's OPEX script till 2030
These dates are for standard equity, index, and ETF options expiration managed by OCC, with monthly expirations usually on the third Friday and weekly expirations on other Fridays, except holidays which cause adjustments to Thursdays or nearby trading days.
Quarterly options expiration dates in the US stock market are on the last trading day of the quarter, usually the last business day of March, June, September, and December.
These dates are the last trading day of each quarter, accounting for weekends and holidays when the market is closed. When the last calendar day falls on a weekend, the expiration is set to the last prior trading day.
The VIX monthly expiration is on the Wednesday prior to the stock market monthly opex (third Friday). When holidays affect these days, the expiration shifts to the business day before.
SMC pro trend
The PSK FX Structure Indicator (also known as SMC pro trend) is a complete Smart Money Concepts (SMC) toolkit designed for professional structure traders.
It detects and visualizes key price structure elements such as BoS (Break of Structure), CHoCH (Change of Character), HH/HL/LH/LL, IDM zones, SCOB, sweeps, inside bars, and EMA confluence — all with precise non-repainting logic.
This indicator helps traders read price action like an institution — identifying liquidity shifts, order flow direction, and possible reversal or continuation zones.
⸻
⚙️ Core Features
🧭 Structure Detection
• Automatic detection of major structure points:
• HH – Higher High
• HL – Higher Low
• LH – Lower High
• LL – Lower Low
• Confirms BoS (Break of Structure) and CHoCH (Change of Character) events in both bullish and bearish markets.
• Marks each structure change with labels and connecting lines for clarity.
🔁 BoS / CHoCH Logic
• Solid line = BoS
• Dashed line = CHoCH
• Colored by direction:
• 🟩 Bullish = Green
• 🟥 Bearish = Red
• Option to show live BoS/CHoCH lines extending forward for real-time updates.
🧱 IDM (Internal Displacement Model) Zones
• Detects previous and live IDM zones (premium/discount zones).
• Highlights IDM candles that cause structural displacement.
• Labels each detected IDM level automatically.
⚡ Sweeps (Liquidity Grab Detection)
• Detects when price sweeps previous highs/lows.
• Marks these zones with dotted lines and optional “X” markers.
🧩 SCOB Pattern (Smart Candle Order Block)
• Detects and colors special SMC candle structures:
• Bullish SCOB → Aqua
• Bearish SCOB → Fuchsia
• Option to color all bars by trend direction or only highlight SCOB bars.
🧭 Internal Structure & Pivots
• Marks minor highs/lows (internal structure) for better IDM leg visualization.
• Helps identify early momentum shifts before major structure breaks.
🎯 1.618 Target Projection
• Projects 1.618 Fibonacci targets dynamically after BoS or CHoCH confirmation.
• Displays target price level with text label:
• Bullish → Green Target Line
• Bearish → Red Target Line
🧱 Inside Bar Zones
• Highlights inside bar formations (compression zones).
• Draws colored boxes between high/low of inside bar clusters.
• Marks the first and consecutive inside bars with custom bar colors.
📊 EMA Filter
• Includes a toggleable Exponential Moving Average (EMA) for confluence with trend direction.
• Customizable EMA length (default: 50).
🎨 Monochrome Mode
• Toggle between normal color mode and a clean monochrome theme for minimalistic charting setups.
⸻
🧠 How to Use
1. Identify Market Context:
Wait for a confirmed CHoCH to spot potential reversals or structure shifts.
2. Follow Order Flow:
Confirm trend direction via BoS lines and IDM zones.
3. Entry Planning:
Combine sweep detection, inside bar zones, and IDM levels for sniper entries.
4. Take Profit Zones:
Use the 1.618 target projection line to set high-probability TP levels.
5. Trend Filtering:
Use EMA direction to confirm whether to follow continuation or counter-trend setups.
⸻
🧩 Inputs & Settings
Category
Key Settings
Structure
Equal H/L toggle, HH/LL labeling, internal structure
BoS/CHoCH
Enable/disable labels, custom label size, bull/bear colors
IDM
Show previous/live IDM, label size, color options
Sweeps
Show sweep lines, X-markers, sweep line color
Bar Coloring / SCOB
Toggle bar coloring and SCOB pattern
Inside Bars
Highlight and box compression zones
1.618 Targets
Enable Fibonacci target projection
EMA
Toggle EMA and adjust length
Monochrome Mode
Apply single-color chart theme
⚠️ Notes
• This indicator is built for non-repainting structure confirmation.
• Use it on higher timeframes for swing structure or lower timeframes for IDM entry precision.
• Works best with clean price action charts (no cluttered oscillators or extra visuals).
⸻
💡 Recommended Use Cases
✅ SMC traders
✅ ICT/Order Block strategy users
✅ Liquidity and market structure traders
✅ Scalpers and swing traders using BoS/CHoCH logic
⸻
✍️ Author
Developed by PURNA SAMPATH KALUARACHCHI (PSK FX)
Smart Money Concepts researcher and price structure developer.
⸻
Experimental Supertrend [CHE]Experimental Supertrend — Combines EMA crossovers for trend regime detection with an adaptive ATR-based hull that selects the narrowest band to contain recent highs and lows, minimizing false breaks in varying volatility.
Summary
This indicator overlays a dynamic supertrend boundary around a midline derived from dual EMAs, using EMA crossovers to switch between bullish and bearish regimes. The hull adapts by evaluating multiple ATR periods and selecting the tightest one that fully encloses price action over a specified window, which helps in creating more stable trend lines that hug price without excessive gaps or breaches. Fills between the midline and hull provide visual cues for trend strength, darkening temporarily after regime changes to highlight transitions. Alerts trigger on crossovers, and markers label entry points, making it suitable for trend-following setups where standard supertrends might whipsaw. Overall, it offers robustness through auto-adjustment, reducing sensitivity to noise while maintaining responsiveness to genuine shifts.
Motivation: Why this design?
Standard supertrend indicators often flip prematurely in choppy markets due to fixed multipliers that do not account for localized volatility patterns, leading to frequent false signals and eroded confidence in trends. This design addresses that by incorporating an EMA-based regime filter for directional bias and an auto-adaptive hull that dynamically tunes the band width based on recent price containment needs. By prioritizing the narrowest effective enclosure, it avoids over-wide bands in calm periods that cause lag or under-wide ones in volatility spikes that invite breaks, providing a more consistent trailing reference without manual tweaking.
What’s different vs. standard approaches?
- Reference baseline: Diverges from the classic ATR-multiplier supertrend, which uses a single fixed period and constant factor applied to close or high/low deviations.
- Architecture differences:
- Auto-selection from candidate ATR lengths to find the optimal period for current conditions.
- Dynamic multiplier clamped between floor and cap values, adjusted by padding to ensure reliable containment.
- Regime-gated rendering, where hull position flips based on EMA relative positioning.
- Post-transition visual fading to emphasize change points without altering core logic.
- Practical effect: Charts show tighter, more reactive bands that rarely breach during trends, reducing visual clutter from flips; the adaptive nature means less intervention across assets, as the hull self-adjusts to volatility clusters rather than applying a one-size-fits-all scale.
How it works (technical)
The indicator first computes two EMAs from close prices using lengths derived from a preset pair or manual inputs, establishing a midline as their average. This midline serves as the central reference for the hull. True range values are then smoothed into multiple ATR candidates using exponential weighting over the specified lengths. For each candidate, deviations of recent highs and lows from the midline are ratioed against the ATR to determine a required multiplier that would enclose all extremes in the containment window—the highest ratio plus padding sets the base, clamped to user-defined bounds. Among valid candidates (those with sufficient history), the one yielding the narrowest overall band width is selected. The hull boundaries are then offset from the midline by this multiplier times the chosen ATR, and further smoothed with a fixed EMA to reduce jitter. Regime direction from EMA comparison gates which boundary acts as support or resistance, with initialization seeding arrays on the first bar to handle state persistence. No higher timeframe data is used, so all logic runs on the chart's native bars without lookahead.
Parameter Guide
EMA Pair — Selects preset lengths for fast and slow EMAs, influencing regime sensitivity and midline stability. Default: "21/55". Trade-offs/Tips: Faster pairs like "9/21" increase cross frequency for scalping but raise false signals; slower like "50/200" smooths for swings, potentially missing early turns. Use Manual for fine control.
Manual Fast — Sets fast EMA length when Manual mode is active; shorter values make regime switches quicker. Default: 21. Trade-offs/Tips: Lower than 10 risks over-reactivity; pair with slow at least double for clear separation.
Manual Slow — Sets slow EMA length when Manual mode is active; longer values anchor the midline more firmly. Default: 55. Trade-offs/Tips: Above 100 adds lag in trends; balance with fast to avoid perpetual neutrality.
ATR Lengths (comma-separated) — Defines candidate periods for ATR smoothing; more options allow finer auto-selection. Default: "7,10,14,21,28,35". Trade-offs/Tips: Fewer candidates speed computation but may miss optimal fits; keep under 10 for efficiency.
Containment Window — Number of recent bars the hull must fully enclose highs/lows of; larger windows favor stability. Default: 50. Trade-offs/Tips: Shorter (under 20) adapts faster to breaks but increases breach risk; longer smooths but delays response.
Min Multiplier Floor — Lowest allowed multiplier for hull width; prevents overly tight bands in low volatility. Default: 0.5. Trade-offs/Tips: Raise to 0.75 for conservative enclosures; too low allows pinches that flip easily.
Max Multiplier Cap — Highest allowed multiplier; caps expansion in spikes to avoid wide, lagging bands. Default: 1.0. Trade-offs/Tips: Lower to 0.75 tightens overall; higher permits more room but risks detachment from price.
Padding (+) — Adds buffer to the auto-multiplier for safer containment without exact touches. Default: 0.05. Trade-offs/Tips: Increase to 0.10 in gappy markets; minimal values hug closer but may still breach on outliers.
Fill Between (Mid ↔ Supertrend) — Toggles shaded area between midline and active hull for trend visualization. Default: true. Trade-offs/Tips: Disable for cleaner charts; pairs well with transparency tweaks.
Base Fill Transparency (0..100) — Sets default opacity of fills; higher values make them subtler. Default: 80. Trade-offs/Tips: Under 50 overwhelms price action; adjust with darken boost for emphasis.
Darken on Trend Change — Enables temporary opacity increase after regime shifts to spotlight transitions. Default: true. Trade-offs/Tips: Off for steady visuals; on aids spotting reversals in real-time.
Darken Fade Bars — Duration in bars for the darken effect to ramp back to base; longer prolongs highlight. Default: 8. Trade-offs/Tips: Shorter (4-6) for fast-paced charts; longer holds attention on changes.
Darken Boost at Change (Δ transp) — Intensity of opacity reduction at crossover; higher values make shifts more prominent. Default: 50. Trade-offs/Tips: Cap at 70 to avoid blackout; tune down if fades obscure details.
Show Supertrend Line — Displays the active hull boundary as a line. Default: true. Trade-offs/Tips: Hide for fill-only views; linewidth fixed at 3 for visibility.
Show EMA Cross Markers — Places circles and labels at crossover points for entry cues. Default: true. Trade-offs/Tips: Disable in clutter; labels show "Buy"/"Sell" at absolute positions.
Alert: EMA Cross Up (Long) — Triggers notification on bullish crossover. Default: true. Trade-offs/Tips: Pair with filters; once-per-bar frequency.
Alert: EMA Cross Down (Short) — Triggers notification on bearish crossover. Default: true. Trade-offs/Tips: Use for exits; ensure broker integration.
Show Debug — Reveals internal diagnostics like selected ATR details (if implemented). Default: false. Trade-offs/Tips: Enable for troubleshooting selections; minimal overhead.
Reading & Interpretation
Bullish regime shows a green line below price as support, with upward fill from midline; bearish uses red line above as resistance, downward fill. Crossovers flip the active boundary, marked by tiny green/red circles and "Buy"/"Sell" labels at the hull level. Fills start at base transparency but darken sharply at changes, fading over the specified bars to signal fresh momentum. If the hull rarely breaches during trends, containment is effective; frequent touches without flips indicate tight adaptation. Debug mode (when enabled) overlays text or plots for selected length and multiplier, helping verify auto-choices.
Practical Workflows & Combinations
- Trend following: Enter long on green "Buy" label above prior low structure; confirm with higher high. Trail stops along the green hull line, tightening as fills stabilize post-fade.
- Exits/Stops: Conservative exit on opposite crossover or hull breach; aggressive hold until fade completes if volume supports. Use darken boost as a volatility cue—high delta suggests waiting for confirmation.
- Multi-asset/Multi-TF: Defaults suit forex/stocks on 15m-4h; for crypto, widen containment to 75 for gaps. Layer on volume oscillator for cross filters; avoid on low-liquidity assets where ATR candidates skew.
Behavior, Constraints & Performance
Closed-bar logic ensures signals confirm at bar end, with live bars updating hull adaptively but no repaints since no future data or security calls are used. Arrays persist ATR states across bars, initialized once with candidates parsed from string. Small fixed loops (over 6 lengths max, inner up to 50) run per bar, capped by max_bars_back=500 for history needs. Resources stay low with 500 labels/lines limits, but dense charts may hit on markers. Known limits include initial lag until containment history builds (50+ bars), potential wide bands on gaps, and suboptimal selections if candidates omit ideal lengths.
Sensible Defaults & Quick Tuning
Start with "21/55" pair, 50-window, 0.5-1.0 multipliers, and 80% transparency for balanced responsiveness on daily charts. For too many flips, raise min floor to 0.75 or add lengths like "42"; for sluggishness, shorten window to 30 or pick faster pair. In high-vol environments, boost padding to 0.10; for smoother visuals, extend fade bars to 12.
What this indicator is—and isn’t
This is a visualization and signal layer for trend regime and adaptive boundaries, aiding entry/exit timing in directional markets. It is not a standalone system—pair with price structure, risk sizing, and broader context. Not predictive of turns, just reactive to containment and crosses.
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.
Happy trading
Chervolino
Crypto Cycle Radar (TOTAL / TOTAL2 / TOTAL3 / BTC.D / USDT.D)Crypto Cycle Radar (TOTAL / TOTAL2 / TOTAL3 / BTC.D / USDT.D)
Outside Candle Session Breakout [CHE]Outside Candle Session Breakout
Session - anchored HTF levels for clear market-structure and precise breakout context
Summary
This indicator is a relevant market-structure tool. It anchors the session to the first higher-timeframe bar, then activates only when the second bar forms an outside condition. Price frequently reacts around these anchors, which provides precise breakout context and a clear overview on both lower and higher timeframes. Robustness comes from close-based validation, an adaptive volatility and tick buffer, first-touch enforcement, optional retest, one-signal-per-session, cooldown, and an optional trend filter.
Pine version: v6. Overlay: true.
Motivation: Why this design?
Short-term breakout tools often trigger during noise, duplicate within the same session, or drift when volatility shifts. The core idea is to gate signals behind a meaningful structure event: a first-bar anchor and a subsequent outside bar on the session timeframe. This narrows attention to structurally important breaks while adaptive buffering and debouncing reduce false or mid-run triggers.
What’s different vs. standard approaches?
Baseline: Simple high-low breaks or fixed buffers without session context.
Architecture: Session-anchored first-bar high/low; outside-bar gate; close-based confirmation with an adaptive ATR and tick buffer; first-touch enforcement; optional retest window; one-signal-per-session and cooldown; optional EMA trend and slope filter; higher-timeframe aggregation with lookahead disabled; themeable visuals and a range fill between levels.
Practical effect: Cleaner timing at structurally relevant levels, fewer redundant or late triggers, and better multi-timeframe situational awareness.
How it works (technical)
The chart timeframe is mapped to an analysis timeframe and a session timeframe.
The first session bar defines the anchor high and low. The setup becomes active only after the next bar forms an outside range relative to that first bar.
While active, the script tracks these anchors and checks for a breakout beyond a buffered threshold, using closing prices or wicks by preference.
The buffer scales with volatility and is limited by a minimum tick floor. First-touch enforcement avoids mid-run confirmations.
Optional retest requires a pullback to the raw anchor followed by a new close beyond the buffered level within a user window.
Optional trend gating uses an EMA on the analysis timeframe, including an optional slope requirement and price-location check.
Higher-timeframe data is requested with lookahead disabled. Values can update during a forming higher-timeframe bar; waiting and confirmation mitigate timing shifts.
Parameter Guide
Enable Long / Enable Short — Direction toggles. Default: true / true. Reduces unwanted side.
Wait Candles — Minimum bars after outside confirmation before entries. Default: five. More waiting increases stability.
Close-based Breakout — Confirm on candle close beyond buffer. Default: true. For wick sensitivity, disable.
ATR Buffer — Enables adaptive volatility buffer. Default: true.
ATR Multiplier — Buffer scaling. Default: zero point two. Increase to reduce noise.
Ticks Buffer — Minimum buffer in ticks. Default: two. Protects in quiet markets.
Cooldown Bars — Blocks new signals after a trigger. Default: three.
One Signal per Session — Prevents duplicates within a session. Default: true.
Require Retest — Pullback to raw anchor before confirming. Default: false.
Retest Window — Bars allowed for retest completion. Default: five.
HTF Trend Filter — EMA-based gating. Default: false.
EMA Length — EMA period. Default: two hundred.
Slope — Require EMA slope direction. Default: true.
Price Above/Below EMA — Require price location relative to EMA. Default: true.
Show Levels / Highlight Session / Show Signals — Visual controls. Default: true.
Color Theme — “Blue-Green” (default), “Monochrome”, “Earth Tones”, “Classic”, “Dark”.
Time Period Box — Visibility, size, position, and colors for the info box. (Optional)
Reading & Interpretation
The two level lines represent the session’s first-bar high and low. The filled band illustrates the active session range.
“OUT” marks that the outside condition is confirmed and the setup is live.
“LONG” or “SHORT” appears only when the breakout clears buffer, debounce, and optional gates.
Background tint indicates sessions where the setup is valid.
Alerts fire on confirmed long or short breakout events.
Practical Workflows & Combinations
Trend-following: Keep close-based validation, ATR buffer near the default, one-signal-per-session enabled; add EMA trend and slope for directional bias.
Retest confirmation: Enable retest with a short window to prioritize cleaner continuation after a pullback.
Lower-timeframe scalping: Reduce waiting and cooldown slightly; keep a small tick buffer to filter micro-whips.
Swing and position context: Increase ATR multiplier and waiting; maintain once-per-session to limit duplicates.
Timeframe Tiers and Trader Profiles
The script adapts its internal mapping based on the chart timeframe:
Under fifteen minutes → Analysis: one minute; Session: sixty minutes. Useful for scalpers and high-frequency intraday reads.
Between fifteen and under sixty minutes → Analysis: fifteen minutes; Session: one day. Suits day traders who need intraday alignment to the daily session.
Between sixty minutes and under one day → Analysis: sixty minutes; Session: one week. Serves intraday-to-swing transitions and end-of-day planning.
Between one day and under one week → Analysis: two hundred forty minutes; Session: two weeks. Fits swing traders who monitor multi-day structure.
Between one week and under thirty days → Analysis: one day; Session: three months. Supports position traders seeking quarterly context.
Thirty days and above → Analysis: one day; Session: twelve months. Provides a broad annual anchor for macro context.
These tiers are designed to keep anchors meaningful across regimes while preserving responsiveness appropriate to the trader profile.
Behavior, Constraints & Performance
Signals can be validated on closed bars through close-based logic; enabling this reduces intrabar flicker.
Higher-timeframe values may evolve during a forming bar; waiting parameters and the outside-bar gate reduce, but do not remove, this effect.
Resource footprint is light; the script uses standard indicators and a single higher-timeframe request per stream.
Known limits: rare setups during very quiet periods, sensitivity to gaps, and reduced reliability on illiquid symbols.
Sensible Defaults & Quick Tuning
Start with close-based validation on, ATR buffer on with a multiplier near zero point two, tick buffer two, cooldown three, once-per-session on.
Too many flips: increase the ATR multiplier and cooldown; consider enabling the EMA filter and slope.
Too sluggish: reduce the ATR multiplier and waiting; disable retest.
Choppy conditions: keep close-based validation, increase tick buffer, shorten the retest window.
What this indicator is—and isn’t
This is a visualization and signal layer for session-anchored breakouts with stability gates. It is not a complete trading system, risk framework, or predictive engine. Combine it with structured analysis, position sizing, and disciplined risk controls.
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
Multi-Resolution RSI with Machine LearningMulti-Resolution RSI
Developed by imaclone.x.
Last Updated: August 21st 2025
A single indicator that fuses my ML-RSI.ai pipeline with a classic multi-timeframe RSI. One script, dual-resolution oscillators if desired, plus a machine-learning similarity engine and modular signal-processing layers.
What it does
* Primary RSI augmented with KNN similarity engine (K, lookback, weighting). Feature embeddings include RSI magnitude, RSI momentum, volatility surface, regression slope, and price momentum vectors.
* Adaptive smoothing stack: Kalman filter recursion, Double EMA cascades, or ALMA convolution.
* Multi-resolution control for the primary oscillator timeframe.
* Optional *second* RSI projected from any timeframe for hierarchical confluence.
* Advanced visuals: upper/lower thresholds, midline, background regime highlighting, crossovers, and B/S event labels.
* Color architectures: None, Trend-Following (50-line bifurcation), or Impulse (band-breach). Optional bar tinting for full-chart context.
Inputs (groups)
* Timeframe Settings: primary + secondary RSI TF/lengths.
* Levels & Visuals: thresholds, highlights, cross events, B/S markers.
* RSI Base: smoothing toggle, MA class, ALMA sigma.
* KNN Machine Learning: enable, K neighbors, historical window, feature dimensionality, ML weighting.
* Advanced Filtering: method + intensity.
* Coloring: None, Trend-Following, Impulse.
Signals
* B flag when ML-RSI crosses upward through the lower threshold.
* S flag when ML-RSI crosses downward through the upper threshold.
* Secondary RSI = higher-timeframe confirmation, not standalone trigger.
Usage notes
* Raise ML weight + feature dimensionality for deeper similarity recognition; lower them for classic oscillator behavior.
* Kalman recursion delivers adaptive, low-lag smoothing; Double EMA and ALMA yield stronger dampening.
* Typical config: intraday primary RSI + higher-TF secondary RSI for regime anchoring.
Changelog
* v6 merge: Unified CM-style MTF RSI framework with my KNN-enhanced kernel and filter stack. One composite indicator replaces multiple scripts.
Credits
* MTF band logic inspired by earlier open-source frameworks.
* ML kernel and implementation by imaclone.x.
Disclaimer
For research and algorithmic experimentation only. No signals guaranteed.
And please kindly, for the love of God, DYOFR.
BBBDXY-9 - Intraday/ SwingWhat it is
A chart-grade USD basket that outputs full O/H/L/C candles. It combines nine FX pairs using weighted log-returns and geometric aggregation, then rescales to 100 at an anchor. You can build from 1m, 1H, 4H, or D and analyze it like a normal chart (drawings, structure, bar replay, and a clean Source output for other tools).
Why another USD gauge?
A legacy EUR-heavy USD measure can, at times, behave close to an EURUSD proxy and under-represent moves versus other majors and Asia EM. A diversified basket helps capture USD dynamics beyond EUR-centric effects. This study is independent and does not rely on third-party brands.
Basket (defaults are editable in Inputs)
Pairs used: EURUSD (inverted), USDJPY, USDCAD, GBPUSD (inverted), USDMXN, USDCNH, USDCHF, AUDUSD (inverted), USDSGD.
Inverted means the pair is flipped internally so rising values reflect USD strength. Weights default to a diversified mix and can be customized.
How it works (high level)
Sample each component on the chosen base timeframe.
Compute log-returns versus the anchor, multiply by weights, sum, and exponentiate (geometric combine).
Re-scale so the index equals 100 at the anchor.
Optional: plot an arithmetic comparison line.
Base-TF and aggregation rules
Build from timeframe: 1m, 1H, 4H, D.
If chart TF is greater than base TF, aggregate up from the base TF (no down-mixing).
If chart TF equals base TF, show native base candles.
If chart TF is lower than base TF, sample the base TF (step-like).
For intraday precision and exact wicks, choose 1m as base and view higher TFs by aggregation.
For longer history with fewer requests, choose 1H, 4H, or D as base.
Inputs (overview)
Build-from TF (1m, 1H, 4H, D) and a feed prefix if your broker symbols require one.
Per-pair weights (editable).
Anchor date and time (chart timezone) plus optional auto-rebase to first available bar if the exact anchor is missing.
Arithmetic comparison line (optional).
Source output selector (Open, High, Low, Close) for downstream tools.
Custom candle colors.
How to use
For granular intraday structure and wick accuracy, set base TF to 1m and view higher TFs by aggregation.
For swing and weekly context, set base TF to 1H, 4H, or D.
Keep default weights unless you have a specific reason to alter the basket.
Rising index suggests USD strength versus the basket; falling index suggests USD weakness.
Notes and limitations
Depends on availability and quality of the underlying FX symbols on your data feed.
Indicator only; no financial advice, no alerts, no orders.
No external open-source code reused.
Past behavior does not guarantee future results.
Figure (publication image)
Top: a legacy EUR-heavy USD index on 1H. The horizontal line marks a local swing high; price stalls and rolls over beneath it.
Bottom: this diversified USD basket on 1H. The horizontal line marks the same calendar window; the advance extends differently into that zone before rolling later.
This side-by-side illustrates that a EUR-centric gauge can diverge from a diversified USD basket. Similar divergences appear at other points; the example is illustrative and not a signal.
- riseofatrader
Moyennes Mobiles Pertinentes ema21vert ma50 bleue ma200 rougeUtilisez sur un même script un indicateur avec plusieurs moyennes mobiles servant de supports
HTF Order Blocks [TradeWithRon]HTF Order Blocks is a clean, multi-timeframe order-flow tool that maps bullish/bearish order blocks and optional breaker blocks from higher timeframes onto your current chart. It’s built for clarity and speed: minimal clutter, configurable labels, and optional Fibonacci extensions for quick projection work.
What it does
Identifies Order Blocks (OBs) using swing structure (configurable lookback).
Marks Breaker Blocks when an OB is breached and market structure flips.
Projects HTF zones from up to two higher timeframes (HTF1 & HTF2), with separate color themes.
Clean visuals: open lines, and smart label placement.
Optional Fibonacci extensions from each OB for quick confluence checks.
Alert-ready: receive alerts on creation of Bullish/Bearish OBs and Breakers.
Key Features
Multi-Timeframe Mapping
Enable HTF1 and/or HTF2 and project their OBs on your active chart.
Uses request.security() with lookahead_off to avoid future-bar leakage.
Fibonacci Add-On (optional)
How it works (logic overview)
Swing detection: Finds recent pivots using a lookback window.
OB creation:
Bullish OB: Created after price closes above a prior swing high, then scans the upswing for the most meaningful base candle range (high/low/open/close).
Bearish OB: Created after price closes below a prior swing low, with symmetric logic.
Breaker state:
A bullish OB turns breaker if price later closes below its base;
A bearish OB turns breaker if price closes above its base.
Cleanup: Breakers are removed if price subsequently recovers past the opposing OB boundary.
HTF OBs are detected on their native timeframe and projected to the active chart; confirmation occurs on the HTF bar’s close.
EMA 21 Big Candle SetupKey Features:
EMA 21 plotted in yellow
Detects big candles that are 1.5x larger than the average candle size (using ATR)
Bullish Setup: Green triangle when a big bullish candle crosses above EMA 21
Bearish Setup: Red triangle when a big bearish candle crosses below EMA 21
Visual feedback: Big candles are highlighted with transparent colors
Info box: Shows current EMA value, candle size, and whether it's a big candle
Anchored VWAP Close-Above Alert (Daily)This indicator is a daily anchored VWAP (Volume-Weighted Average Price) tracker that alerts you when price closes above a key pivot line you’ve defined — either dynamically (anchored VWAP from a date like 9/5) or statically (a fixed level like 126.65).
Here’s how each piece works:
1. The anchor date
You give it a date — say September 5, 2025. The script starts calculating VWAP from that day forward. That line represents the average price buyers and sellers have transacted at since that anchor. It’s a kind of “fair-value line” for that period.
2. The logic
Every bar after that date, it adds up (price × volume) and divides by total volume — giving a running VWAP from that starting point. You can instead lock it to a flat number (like 126.65) if you don’t want it recalculating.
3. The alert trigger
Once per day — when the daily candle closes — it checks:
“Did price close above my watched line?”
If yes, it fires an alert (and can draw a label) to tell you that the day’s candle reclaimed that level.
4. The why
That kind of move — a daily close reclaiming a major anchored VWAP — often signals a shift in sentiment or trend strength. Traders watch it to confirm rebounds or invalidations of downside moves.
So in your context:
You anchored to 9/5 (the downside pivot).
You want to know if price closes back above that VWAP (~126.65).
If it does, the alert lights up — confirming the “reclaim” you mentioned in your note.
It’s basically your guard dog for the daily close reclaim.
黄金专用LPPL特征检测（Log-Periodic Power Law Singularity）专门用于黄金走势的LPPL检测，在技术分析中，LPPL 奇点指的是对数周期幂律奇异性（Log-Periodic Power Law Singularity），它是对数周期幂律模型（LPPL）中的一个关键概念。以下是关于它的详细介绍：
提出者及背景：LPPL 模型是由研究市场泡沫的先驱者、物理学家迪迪埃・索尔内特（Didier Sornette）等人提出的。该模型结合了理性预期泡沫的经济理论、投资者的模仿和羊群行为的行为金融学以及分岔和相变的数学统计物理学，用于检测金融市场中的泡沫和预测市场转折点。
模型原理：LPPL 模型假设当市场出现泡沫时，资产价格会呈现出一种特殊的波动模式，这种模式由正反馈机制驱动。在泡沫形成过程中，投资者的模仿和跟风行为导致市场参与者的一致性和协同性急剧上升，价格出现 “快于指数” 的增长，同时伴随着加速的对数周期振荡。而 LPPL 奇点就是价格增长和振荡达到极限的那个有限时间点，在这个点之前，价格增长越来越快，振荡频率也越来越高，当到达奇点时，泡沫破裂，市场往往会出现急剧的反转和崩盘。
数学表达：LPPL 模型的数学公式较为复杂，其原始形式提出了一个由 3 个线性参数和 4 个非线性参数组成的函数。通过将这个函数与对数价格时间序列进行拟合，可以估计出模型的参数，进而确定奇点的时间位置等信息。
在金融市场中的应用：LPPL 模型及其中的奇点概念主要用于检测金融市场中的泡沫和预测市场的崩溃点。例如，在 2008 年石油价格泡沫和 2009 年上海股市泡沫等事件中，该模型都被用于分析和预测市场的转折点。不过，该模型也存在一定的局限性，比如对奇点具体点位的预测误差较大，而且市场情况复杂多变，可能会有强大的外力干扰等因素影响模型的准确性。
The LPPL model was proposed by physicist Didier Sornette, a pioneer in the study of market bubbles, and others. The model combines the economic theory of rational expectations bubbles, behavioral finance on investor imitation and herding behavior, and the mathematical statistical physics of bifurcations and phase transitions to detect bubbles in financial markets and predict market turning points.
Model Principle: The LPPL model posits that when a market bubble forms, asset prices exhibit a distinctive pattern of fluctuation driven by a positive feedback mechanism. During the bubble's formation, investors' imitation and bandwagon-following behavior lead to a sharp increase in consistency and coordination among market participants, resulting in "faster-than-exponential" price growth accompanied by accelerating logarithmic-periodic oscillations. The LPPL singularity is the finite point in time where price growth and oscillation reach their limits. Prior to this point, prices grow increasingly faster, and the frequency of oscillations increases. When the singularity is reached, the bubble bursts, and the market often experiences a sharp reversal and crash.
