VIX SPY FOREX Commodities BitcoinCompilation of market data as of 10/18 showing correlations between corresponding sectors.
Dönemler
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.
VSA Candles (duy)Indicator Description: "VSA Candles (duy)"
“VSA Candles (duy)” is an indicator based on Volume Spread Analysis (VSA) — a well-known method in price action analysis.
It helps traders identify the strength and weakness of Smart Money activity by analyzing the relationship between price spread (bar range) and trading volume.
Main Features
Automatic Volume Classification
Calculates average volume (Volume MA) and classifies each bar into 6 levels:
Ultra High, Very High, High, Normal, Low, Very Low.
Users can choose between Single (simple 2-color mode) or Multiple (multi-color mode) for better visual representation of volume strength.
Automatically Detected VSA Signals on Chart
- Selling Climax (SC) – Marks the end of a strong selling phase, often appearing before an upward reversal.
- No Supply (NS) – Indicates lack of supply, often signaling bullish continuation.
- Shakeout (SO) – A trap move where Smart Money pushes the price lower to absorb buy orders.
- Bag Holding (BH) – Smart Money accumulation near the bottom after a heavy sell-off.
- Buying Climax (BC) – Marks the end of a strong uptrend, often followed by a bearish reversal.- - No Demand (ND) – Indicates lack of demand, signaling weakness in an uptrend.
- Top Reversal (TR) – Candle pattern showing potential top reversal.
- Up Thrust (UT) – A false breakout to the upside, signaling distribution.
- Thrust (T) – Strong push beyond previous swing, may indicate distribution or absorption.
- Two Bar Reversal (BR) – Classic two-bar reversal pattern.
User Customization
Volume MA – Enable/disable option, adjustable length, customizable color.
Volume Color Mode:
Single: Two simple colors (Up/Down).
Multiple: Six dynamic volume levels for clearer identification of Smart Money strength.
Website: indicatorbottrade.github.io
Donate: Sacombank HO KHANH DUY
Elliott Wave Supply-Demand Strategyelliot wave strategy in chart time frame: The updated Pine Script enhances the Elliott Wave Supply-Demand Strategy by adding lines connecting wave points (1-2-3-4-5 or A-B-C) for visual clarity. It detects impulse (5-point) and ABC (3-point) patterns using pivot highs/lows, storing swings in arrays. Lines are drawn between consecutive wave labels (e.g., 1→2, A→B) using a user-defined color and style (solid, dashed, dotted), with a new show_wave_lines input. A debug label displays swing count, wave detection status, and label count to troubleshoot issues. The visibility window for labels and lines is extended to 1000 bars to ensure recent patterns are shown. Supply/demand zones and Fibonacci extensions remain unchanged, supporting rejection-based trades. If lines don’t appear, check the debug label for low swing counts or adjust pivot_left/pivot_right. The script is optimized for liquid markets (e.g., EUR/USD) and customizable timeframes. Alerts and trading logic are preserved.
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
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.
⸻
DM ziggy lines..Use on chart
1
0
Understand What ZigZag Shows
The ZigZag connects swing points:
Up move (Bull leg) → identifies higher swing lows (potential start of uptrend)
Down move (Bear leg) → identifies lower swing highs (potential start of downtrend)
It doesn’t repaint here (since you used a non-repainting logic), so signals are confirmed once the line appears.
Entry Logic (Trend-Following Style)
You can trade in the direction of the last confirmed ZigZag leg:
Long entry idea
Wait for the ZigZag to plot a bullish leg (green line in your script).
Confirm the higher low (price doesn’t break below the last swing low).
Enter when a candle closes above the recent swing high or with bullish momentum (e.g., a bullish engulfing candle).
📉 Short entry idea
Wait for the ZigZag to plot a bearish leg (red line).
Confirm the lower high (price doesn’t break above the last swing high).
Enter when a candle closes below the recent swing low or with bearish momentum.
. Exit or Stop-Loss
Stop-loss: Place just beyond the most recent swing point (ZigZag high/low).
Take-profit: Use risk/reward (e.g. 1:2 ratio) or next opposite ZigZag point.
Example:
Long trade after green ZigZag up-leg → stop below last swing low → exit near next swing high (red ZigZag reversal).
Optional Enhancements
You can combine the ZigZag logic with:
RSI or MACD → to confirm momentum.
Moving averages → to confirm overall trend.
Volume spikes → to confirm strong swing reversals.
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.
Gold Market Cap vs BTC Market Cap Ratio
What the script calculates
Gold market cap: XAUUSD spot price × total above-ground stock (converted to troy ounces) in trillions USD.
BTC market cap: Live data from TradingView's CRYPTOCAP:BTC symbol, which provides Bitcoin's circulating market cap (already in USD, converted to trillions here).
Ratio: Gold market cap ÷ BTC market cap (e.g., 1.0 means gold market cap equals BTC; 2.0 means gold is twice BTC's market cap)
Timebender - 90 Minute KillzonesTimebender – 90 Minute Killzones
This indicator divides each trading day into sixteen 90-minute blocks based on New York Time.
Each zone is color-coded by session:
🔴 Asian
🟢 London
🔵 New York AM
🟣 New York PM
It helps visualize recurring intraday rhythms and session overlaps without adding signals or bias.
Includes an optional Daily Close Line (18:00 NYT) to mark the end of the trading day, now zoom-safe and toggleable.
Built for structure, clarity, and visual balance — nothing more, nothing less.
Gann Dynamic Levels [SmartFoxy]# 🌌 Gann Dynamic Levels
Gann Dynamic Levels is a dynamic Gann-based framework that calculates proportional and exponential levels using customizable methods — including planetary ratios.
Perfect for traders focused on cycles , ratios , and harmonic structures .
Inspired by the geometric and harmonic principles of W.D. Gann , this multifunctional tool automatically plots time–price projection levels based on user-defined anchor points.
It combines multiple calculation techniques to capture both linear and exponentia l market symmetries.
The indicator adapts dynamically to price movement, helping traders identify potential reversal zones , time clusters , and harmonic expansions derived from proportional and planetary relationships.
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## ⚙️ Core Features
Five Calculation Methods — Linear, ratio-based, geometric, and exponential spacing for multi-perspective analysis.
Planetary Scaling Mode — Optional mode based on astronomical distances (Titius–Bode Law), adding an astronomical dimension to level spacing.
Adaptive Offset Control — Shifts all projected levels left or right proportionally without changing their internal spacing.
Automatic Label Management — Dynamically updates or reuses labels for better clarity and improved chart performance.
Custom Styling — Full control over colors, widths, label positions, and line styles for each method.
---
## 🌐 Purpose
Designed for traders who combine Gann theory , harmonic ratios , and cyclical timing to visualize equilibrium zones and future market symmetry.
Whether used for short-term timing or long-term structural projections, Gann Dynamic Levels provides an adaptive, geometry-based framework for interpreting market behavior.
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## 📘 How to Use
When first applied, the indicator prompts you to place two points on the chart — for example, at the start and end of a significant price range.
The indicator calculates the number of bars between these two points, known as Delta .
Delta serves as the base unit for all calculations in Methods #1–#5 .
The computed results are displayed in Table 1 , which can be toggled using the parameter “📱 Show Gann Levels Table”.
You can reset or reposition the initial points in two ways:
Drag the existing points to new positions on the chart.
Hover over the indicator name, click ⦁⦁⦁ (More) → select “ Reset Points ”, then set new reference points.
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## ⚙️ Method Logic
Classic – Evenly spaced levels based on the base Delta value. Ideal for identifying key support and resistance zones.
Coefficient (Coeff) – Scales Delta by fractional or whole-number coefficients for proportional level spacing.
Rounded – Rounds each calculated level to the nearest significant price value to align with major zones.
Subtractive – Generates levels by subtracting multiples of Delta from a reference point, emphasizing retracement-type structures.
Exponential – Applies an exponential growth model (10a = 4 + 3×2ⁿ) to project dynamic, non-linear level expansion.
Planetary – Uses the average distances of planets from the Sun (in Astronomical Units, AU ) as ratio multipliers to create harmonic projections.
Planetary distances can be customized in the user settings.
Data for Method #6 (Planetary) is displayed in Table 2 , toggled via “ 🪐 Show Planetary Table. ”
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## ➡️ Additional Feature
Offset – Shifts all Gann levels horizontally (left or right) without changing their spacing.
Useful for visually aligning levels with key market structures.
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### 🧭 Summary
A multi-method Gann framework combining geometric, harmonic, and planetary ratios for dynamic level projection and cycle analysis.
Timebender - Sum of TimeTimebender – Sum of Time
A minimalist numerological clock that decodes the vibration of the moment.
It calculates and displays the digital sum of the current date and time, assigning colors based on the 1–3 (Accumulation), 4–6 (Manipulation), and 7–9 (Distribution) cycle.
Clean, efficient, and fully synchronized with your chart’s timezone.
ATC v6ATC v6 Indicator: Automatic Session and Time Lines
Designed by Alfa Trade Club for TradingView users, ATC v6 is an advanced
indicator that automatically marks key session opens, closes, and specific times
of financial markets on your chart. This tool eliminates the need to manually track
critical trading hours, allowing you to easily analyze price action in relation to
these important timeframes.
Key Features
This indicator comes with a set of powerful features that provide the flexibility
and visual clarity traders need:
Multi-Time Zone Support: The indicator is based on the world’s three largest
financial market centers:
New York (America/New_York)
London (Europe/London)
Tokyo (Asia/Tokyo)
This allows you to accurately set the lines according to the local time of the
market you are trading.
Customizable Time Lines: Each time zone includes multiple predefined lines
(e.g., “NY Midnight,” “London Open,” “Tokyo Open”). Users can:
Enable or disable each line
Set any desired hour and minute
Assign distinct colors for clear visual separation
Pre-Session Function: This standout feature draws a dotted line a few
minutes before a main time you specify (e.g., the market open). This lets you see
the price level immediately before a key event.
Automatic Price Boxes: When the Pre-Session feature is active, the indicator
draws a colored box between the price at the pre-session moment and the price
at the main event. This box highlights the price range between the pre-
session and the main event, effectively visualizing the volatility at the
session open.
Forward-Extending Lines: All lines extend forward from the moment they are
drawn until the next day. This helps you track how these levels act as support or
resistance throughout the trading session.
Who Is It For?
Session-Focused Traders: Ideal for those tracking volatility during
London, New York, or Asian session opens.
Day Traders: Perfect for marking key economic data releases or daily
open/close levels.
Technical Analysts: A powerful tool for visually analyzing how opening
prices influence price behavior throughout the day.
Fear–Greed Index
What it does
This indicator compresses multiple behavioral signals into a single Fear–Greed Index (FGI) that ranges from –100 (extreme fear) to +100 (extreme greed). It blends three psychology-based components—Prospect Theory, Herding, and Social Impact Theory (SIT)
How it thinks
Prospect Theory (CPT)
Looks at the balance of gains vs. losses in recent returns.
Herding (Brock–Durlauf / Ising-style)
Counts the signs of recent returns (up vs. down) to measure “magnetization” (are most bars up or down.
Social Impact Theory (SIT)
Measures today’s return strength relative to recent volatility (strength), how concentrated recent moves were in the most recent quarter of the window (immediacy), and participation via volume relative to its recent average (number).
How to use it
Rising toward +100 → crowd risk-on/greed; falling toward –100 → risk-off/fear.
Treat extreme zones as context, not standalone trade signals—combine with price structure, volume, and risk management.
ALISH WEEK LABELS THE ALISH WEEK LABELS
Overview
This indicator programmatically delineates each trading week and encapsulates its realized price range in a live-updating, filled rectangle. A week is defined in America/Toronto time from Monday 00:00 to Friday 16:00. Weekly market open to market close, For every week, the script draws:
a vertical start line at the first bar of Monday 00:00,
a vertical end line at the first bar at/after Friday 16:00, and
a white, semi-transparent box whose top tracks the highest price and whose bottom tracks the lowest price observed between those two temporal boundaries.
The drawing is timeframe-agnostic (M1 → 1D): the box expands in real time while the week is open and freezes at the close boundary.
Time Reference and Session Boundaries
All scheduling decisions are computed with time functions called using the fixed timezone string "America/Toronto", ensuring correct behavior across DST transitions without relying on chart timezone. The start condition is met at the first bar where (dayofweek == Monday && hour == 0 && minute == 0); on higher timeframes where an exact 00:00 bar may not exist, a fallback checks for the first Monday bar using ta.change(dayofweek). The close condition is met on the first bar at or after Friday 16:00 (Toronto), which guarantees deterministic closure on intraday and higher timeframes.
State Model
The indicator maintains minimal persistent state using var globals:
week_open (bool): whether the current weekly session is active.
wk_hi / wk_lo (float): rolling extrema for the active week.
wk_box (box): the graphical rectangle spanning × .
wk_start_line and a transient wk_end_line (line): vertical delimiters at the week’s start and end.
Two dynamic arrays (boxes, vlines) store object handles to support bounded history and deterministic garbage collection.
Update Cycle (Per Bar)
On each bar the script executes the following pipeline:
Start Check: If no week is open and the start condition is satisfied, instantiate wk_box anchored at the current bar_index, prime wk_hi/wk_lo with the bar’s high/low, create the start line, and push both handles to their arrays.
Accrual (while week_open): Update wk_hi/wk_lo using math.max/min with current bar extremes. Propagate those values to the active wk_box via box.set_top/bottom and slide box.set_right to the current bar_index to keep the box flush with live price.
Close Check: If at/after Friday 16:00, finalize the week by freezing the right edge (box.set_right), drawing the end line, pushing its handle, and flipping week_open false.
Retention Pruning: Enforce a hard cap on historical elements by deleting the oldest objects when counts exceed configured limits.
Drawing Semantics
The range container is a filled white rectangle (bgcolor = color.new(color.white, 100 − opacity)), with a solid white border for clear contrast on dark or light themes. Start/end boundaries are full-height vertical white lines (y1=+1e10, y2=−1e10) to guarantee visibility across auto-scaled y-axes. This approach avoids reliance on price-dependent anchors for the lines and is robust to large volatility spikes.
Multi-Timeframe Behavior
Because session logic is driven by wall-clock time in the Toronto zone, the indicator remains consistent across chart resolutions. On coarse timeframes where an exact boundary bar might not exist, the script legally approximates by triggering on the first available bar within or immediately after the boundary (e.g., Friday 16:00 occurs between two 4-hour bars). The box therefore represents the true realized high/low of the bars present in that timeframe, which is the correct visual for that resolution.
Inputs and Defaults
Weeks to keep (show_weeks_back): integer, default 40. Controls retention of historical boxes/lines to avoid UI clutter and resource overhead.
Fill opacity (fill_opacity): integer 0–100, default 88. Controls how solid the white fill appears; border color is fixed pure white for crisp edges.
Time zone is intentionally fixed to "America/Toronto" to match the strategy definition and maintain consistent historical backtesting.
Performance and Limits
Objects are reused only within a week; upon closure, handles are stored and later purged when history limits are exceeded. The script sets generous but safe caps (max_boxes_count/max_lines_count) to accommodate 40 weeks while preserving Editor constraints. Per-bar work is O(1), and pruning loops are bounded by the configured history length, keeping runtime predictable on long histories.
Edge Cases and Guarantees
DST Transitions: Using a fixed IANA time zone ensures Friday 16:00 and Monday 00:00 boundaries shift correctly when DST changes in Toronto.
Weekend Gaps/Holidays: If the market lacks bars exactly at boundaries, the nearest subsequent bar triggers the start/close logic; range statistics still reflect observed prices.
Live vs Historical: During live sessions the box edge advances every bar; when replaying history or backtesting, the same rules apply deterministically.
Scope (Intentional Simplicity)
This tool is strictly a visual framing indicator. It does not compute labels, statistics, alerts, or extended S/R projections. Its single responsibility is to clearly present the week’s realized range in the Toronto session window so you can layer your own execution or analytics on top.
Crypto Options Expiration (OPEX)this script marks every Crypto Options Expiration. i am writing more stuff because tradingview doesnt allow me to public a script unless I write a nice, lengthy, and zesty description