อินดิเคเตอร์และกลยุทธ์
Asia Session Range @mrxautrades🗺️ Asia Session Range by @mrxautrades
🚨 This script is closed-source because it implements a custom logic for session range visualization, deviation projections, and adaptive display based on chart timeframe. No other public script offers this exact functionality.
✅ What does this script do?
This indicator highlights the Asian session range and calculates dynamic extensions during the New York session open. It's designed for traders who rely on price action around key market sessions.
🔧 Unique Features (compared to existing scripts):
Timeframe-aware visibility: The script includes conditional logic to show or hide elements based on the chart timeframe (e.g., only visible on 60-minute or lower charts).
Automatic deviation levels: Calculates and plots extensions above/below the Asian range based on its size, offering projected support/resistance levels in real time.
Adaptive labels: Labels adjust dynamically to chart styling, with options for background, color, and visibility control.
⚙️ Customizable Inputs:
Asian and New York session times
Box, line, and label colors
Number and spacing of deviation levels
Line extension duration (in hours)
Label style: plain text or with background
🧠 Best suited for:
Breakout strategies based on the Asian session range
Using prior session levels as support/resistance
Intraday traders in Forex, indices, or crypto markets
Ichimoku SentinelThis version of the Ichimoku Cloud features an alarm system helping you to catch entry and exit points and get warnings when you have to act to secure your profit.
Only relevant alerts will be triggered. For instance, if you're in a uptrend there will be alerts only when the Price crosses down Tenkan, not when crossing up.
Also, the frequent Tenkan-Kijun-Price-crossovers which occur when the price is hovering in the cloud will also not trigger alerts.
There is a warning alert when the price is approaching the cloud which is an early sign that the end of the trend is near.
You can define this warning distance to the cloud in the settings.
Conditions for long entry are the traditional triple:
- Price and Chikou-Sen above Cloud
- Chikou-Sen above Price
- Tenkan-Sen above Kijun-Sen
For Short Entries accordingly.
For Exit alerts you can chose between these options:
a) Price crosses Kijun (default)
b) Tenkan crosses Kijun
c) Price crosses Tenkan
Barcoloring : Green candles when above cloud (considered an uptrend), red when below (downtrend) and orange when within the warning distance from the cloud (consolidation)
Combo Signal Bollinger basic, Chaikin 0, RSI 50, Ichimoku KidjunA combo signal for matching strategy signals from the following indicators:
- Price crossing of the central Bollinger axis
- Zero crossing by Chaikin oscillator
- The crossing of the 50 level by the RSI indicator
- Price crossing of the Kijun line of the Ichimoku indicator
The number of candles for analysis is determined in the settings
The output uses a signal of the intersection of the price centrally between the Bollinger axis and the Kijun Ichimoku line.
The number of candles for analysis is determined in the settings
Комбо сигнал на совпадение сигналов по стратегии от следующих индикаторов:
- Пересечение ценой центральной оси Боллинджера
- Пересечение нуля осцилятором Чайкина
- Пересечение уровня 50 индикатором RSI
- Пересечение ценой линии Киджун индикатора Ишимоку
Количество свечей для анализа определяется в настройках
На выход используется сигнал пересечения ценой центрально оси Боллинджера и линии Киджун Ишимоку.
Количество свечей для анализа определяется в настройках
Reversal Knockout v1.1\ Reversal Knockout v1.1 — User Manual \
Reversal Knockout is a technical indicator designed to detect potential price turning points using a dual approach: a reversal logic with bar coloring and a combined sequence of setups, countdowns, and exhaustion patterns.
\ What does this indicator do?\
\ Colors candles\ based on the relationship between two smoothed moving averages (T3).
\ Identifies overextension conditions\ based on a sequence of 9 consecutive closes aligned with price direction.
\ Confirms exhaustion\ if, after that setup, 13 follow-through conditions (countdown) are met.
\ Highlights special signals called “Knockouts”\ , which represent strong potential reversal scenarios.
\ Candle Coloring\
Candles are automatically colored to make trend and potential reversal points visually easier to interpret:
🔵 Bull Trend: User-defined color (default light blue)
🔴 Bear Trend: User-defined color (default light red)
🟡 Bullish Reversal: When price crosses below the slower average (default yellow)
🟡 Bearish Reversal: When price crosses above the slower average (default yellow)
This logic is based on the relationship between two T3 moving averages (one fast, one slow), calculated with a customizable smoothing factor.
\ Setup and Countdown Logic\
Setups (9):
A bullish setup forms if the price closes below the close from 4 bars earlier for 9 consecutive candles.
A bearish setup forms if the price closes above the close from 4 bars earlier for 9 consecutive candles.
When the ninth close is completed, a green “9” (buy) or purple “9” (sell) is displayed.
Countdowns (13):
After a setup, a follow-through phase begins.
If 13 additional conditions are met (price < low\ for buys or > high\ for sells), a purple “13” is shown, signaling potential exhaustion.
\ Knockout: Explosive Reversal Potential\
The indicator also identifies special reversal patterns called \ Knockout\ .
These signals appear when, in addition to a “9”, the price shows technical excess behavior near key support or resistance zones:
Knockout ▲ (buy): Appears below the candle when a buy signal is detected with specific downside pressure conditions.
Knockout ▼ (sell): Appears above the candle when a sell signal is detected with upside pressure conditions.
These signals stand out as high-probability reversal opportunities.
\ Usage Recommendations\
The indicator is designed to work on any timeframe, but it is recommended to use it alongside market structure and volume analysis.
“Knockout” signals may be used as high-probability trend change alerts, especially after a “13”.
Can be combined with momentum indicators and moving averages for greater effectiveness.
π Pi-MA Bandπ Pi-MA Band – Parametric Moving Averages with π Scaling
The π Pi-MA Band is a custom moving average indicator that applies the mathematical constant π (3.14159) as a multiplier to traditional moving average lengths, offering a unique perspective on market smoothing and trend detection.
🔍 Core Features:
Three Dynamic MAs: Includes a Fast, Slow, and Long moving average, each with customizable base lengths and types (EMA, SMA, WMA, HMA, RMA, VWMA, DEMA, TEMA).
π-Based Lengths: Each MA length is automatically scaled by π to align with cyclical and fractal market behavior.
Color Adaptive Bands:
The fast/slow band dynamically changes color based on trend direction (green when fast > slow, red when fast < slow).
A secondary fill highlights when both fast and slow MAs are positioned above or below the long-term MA, indicating strong bullish or bearish alignment.
Visual Clarity: Distinct line thickness and color coding for fast, slow, and long MAs make it easy to assess momentum and trend shifts.
Alerts: Built-in alert conditions notify you of key crossover events between the fast and slow MAs.
📈 Use Cases:
Trend Confirmation: Use the alignment of all three MAs to validate bullish or bearish market conditions.
Momentum Shift Detection: Crossover alerts help traders identify emerging trends early.
Customization: Suitable for scalpers, swing traders, and long-term investors due to adjustable lengths and MA types.
Benner Cycles📜 Overview
The Benner Cycles indicator is a visually intuitive overlay that maps out one of the most historically referenced market timing models—Samuel T. Benner’s Cycles—directly onto your chart. This tool highlights three distinct types of market years: Panic, Peak, and Buy years, based on the rhythmic patterns first published by Benner in the late 19th century.
Benner's work is legendary among financial historians and cycle theorists. His original charts, dating back to the 1800s, remarkably anticipated economic booms, busts, and recoveries by following repeating year intervals. This modern adaptation brings that ancient rhythm into your TradingView workspace.
🔍 Background
Samuel T. Benner (1832–1913) was an Ohioan ironworks businessman and farmer who, after losing everything in the Panic of 1873, sought to uncover the secrets of economic cycles. His work led to the famous Benner's Cycle Chart, which forecasts business activity using repeatable intervals of panic, prosperity, and opportunity.
Benner’s method was based on a combination of numerological, agricultural, and empirical observations—not unlike early forms of technical and cyclical analysis. His legacy survives through a set of three rotating intervals for each market condition.
George Tritch was the individual responsible for preserving and publishing Samuel T. Benner’s economic cycle charts after Benner's death. While Benner was the original creator of the Benner Cycle, Tritch is known for reproducing and circulating the Benner chart in the early 20th century, helping it gain broader recognition among traders, economists, and financial historians.
🛠️ Features
Overlay Background Highlights shades the chart background to reflect the current year's cycle type
Configurable Year Range defines your own historical scope using Start Year and End Year
Fully Customizable Colors & Opacity
Live Statistics Table (optional) displays next projected Panic, Peak, and Buy years as well as current year’s market phase
Cycle Phase Logic (optional) prioritizes highlighting in order of Panic > Peak > Buy if overlaps occur
📈 Use Cases
Macro Timing Tool – Use the cycle phases to align with broader economic rhythms (especially useful for long-term investors or cycle traders).
Market Sentiment Guide – Panic years may coincide with recessions or major selloffs; Buy years may signal deep value or accumulation opportunities.
Overlay for Historical Studies – Perfect for comparing past major market movements (e.g., 1837, 1929, 2008) with their corresponding cycle phase. See known limitations below.
Forecasting Reference – Identify where we are in the repeating Benner rhythm and prepare for what's likely ahead.
⚠️ Limitations
❗ Not Predictive in Isolation: Use in conjunction with other tools.
❗ Calendar-Based Only: This indicator is strictly time-based and does not factor in price action, volume, or volatility.
❗ Historical Artifact, Not a Guarantee
❗ Data Availability: This indicator's historical output is constrained by the available price history of the underlying ticker. Therefore, it cannot display cycles prior to the earliest candle on the chart.
Multi-Timeframe Trend Meter [ask2maniish]📊 Multi-Timeframe Trend Meter
A visual trend strength indicator that aggregates trend signals from multiple timeframes using EMA and VWAP, providing a weighted score to help traders gauge market direction and strength.
✅ Summary
This indicator gives a holistic view of the market by:
Combining EMA and VWAP conditions across timeframes.
Weighting larger timeframes more heavily.
Producing a percentage-based trend score.
Providing visual and alert-based feedback for strong trends.
Trend Table ZeeZeeMonMulti-Timeframe Trend Indicator
Overview
This indicator identifies trends across multiple higher timeframes and displays them in a widget on the right side of the chart. It serves as an alternative trend-filtering tool, helping traders align with the dominant market direction. Unlike traditional moving average-based trend detection (e.g., price above/below a 200 MA), this indicator assesses whether higher timeframes are genuinely trending by analyzing swing highs and lows.
Trend Definition
Uptrend: Higher highs and higher lows.
Downtrend: Lower highs and lower lows.
A trend reversal occurs when a prior high/low is breached (e.g., in a downtrend, breaking the last high signals an uptrend).
Customization Options
Lookback Period: Adjusts the sensitivity for identifying swing highs/lows (pivot points). A shorter lookback detects more frequent pivots.
Historical Pivot Visibility: Toggle to display past swing highs/lows for verification.
Support/Resistance Lines: Show dynamic levels from recent pivots on higher timeframes. Breaching these lines indicates potential trend changes.
Purpose
Helps traders:
Confirm higher timeframe trends before entering trades.
Monitor proximity to trend reversals.
Fine-tune pivot sensitivity for optimal trend detection.
Note: Works best as a supplementary trend filter alongside other trading strategies.
MSA TechnicalsMSA Technicals — Precision Market Structure, Reversal Signals, and Institutional Zone Detection
DESCRIPTION:
MSA Technicals is a proprietary multi-layered indicator built for serious intraday traders and scalpers seeking to trade with precision around key market structure and volume-driven zones. This script synthesizes institutional concepts such as supply and demand imbalances, historical open analysis, VWAP anchoring, and volume anomalies — all in one seamlessly integrated tool.
This invite-only script is original and does not rely on repackaged public indicators like RSI, MACD, or Bollinger Bands. Instead, it introduces a custom-engineered system that dynamically identifies high-probability reversal zones, key support/resistance levels, and actionable pivot signals, all backed by historical context and real-time volume behavior.
Core Concepts and Calculations Explained:
1. Dynamic Intraday Support/Resistance Levels
Mechanism: Uses the past 21 daily opening prices to compute average absolute percentage change and constructs statistically derived support/resistance levels using a configurable multiplier.
Displayed On: 1m, 2m, and 5m charts only for scalping focus.
Use Case: Acts as dynamic intraday guides for price rejection or breakout potential.
2. Aggressive Supply & Demand Zone Detection
Engineered Rules: Zones are formed using candle body/wick ratios, engulfing logic, and volume-based thresholds across 30m, 1h, 2h, and 4h charts.
Zone Validity: Each zone remains on chart until invalidated (price closes through the zone).
Color-Coding: Transparent overlays show demand (green) and supply (red) aggression based on strict institutional logic — not loosely defined.
3. Auto-Tracking Microstructure Supply/Demand Lines
Timeframes: Derived from 15m–2h highs and lows using custom momentum logic.
Behavior: Lines extend until broken and are cleaned automatically.
Benefit: Helps spot mini-reversals or scalps within higher timeframe structure.
4. Pivot Trend Identification
Built-In Swing Structure: Uses 20-bar pivots to define swing highs/lows with automatic dashed and solid line plotting.
Use: For confirming trend breaks, reversals, or breakout alignments.
5. High-Probability Reversal Arrows
Trigger Conditions: Uses a combination of 2-minute candle reversals, demand/supply zone presence, and U.S. market hours filter.
Signal Logic: Bullish engulfing within demand zone → green arrow; Bearish engulfing in supply zone → red arrow.
Design Intent: Provides confirmation, not blind signals — best used with confluence.
6. Volume Alerting for Scalpers
Highlighting: 1-minute candles are painted yellow when current volume is greater than or equal to 2.25x the 20-period volume average.
Purpose: Flags institutional-sized orders or potential breakouts.
7. VWAP Line Anchoring
A visual institutional anchor is plotted live to show price relation to session-weighted average — useful for mean reversion or trend validation.
How to Use
Trend Traders: Use pivot lines and VWAP in confluence with supply/demand zones for pullbacks and breakouts.
Scalpers: Use reversal arrows, high-volume candle detection, and intraday support/resistance for sniper entries.
Swing Traders: Validate macro bias using 4H zone formations and zone reactions.
Transparency, Limits, and Compliance
This script is invite-only and paid. Access is only granted upon explicit user request and managed externally through whop.com/msa-trading.
This script does not promise specific win rates, guaranteed profits, or future performance. It is a technical tool, not a trading system.
Users should apply their own risk management and confirmation criteria when using signals from this tool.
MSA Technicals does not reuse open-source scripts without permission and is built on original logic grounded in professional trading methodologies.
Author’s Instructions (Access Instructions Field)
To request access, please visit whop.com/msa-trading or message me directly via private chat on TradingView. Do not use the comments section for access requests.
GapCluster SR For Intraday by Chaitu50c**GapCluster SR For Intraday by Chaitu50c**
**Overview**
GapCluster SR plots dynamic intraday support and resistance lines based on candle-to-candle gaps. Whenever an Open/Close or High/Low gap is detected, the script draws a horizontal level and “clusters” nearby gaps into a single line to keep your chart clean. Lines automatically color-code relative to price—green when below, red when above.
---
**Key Features**
* **Gap Detection Modes**: Choose between Open/Close gaps (default) or High/Low gaps.
* **Clustering**: Merge levels within a user-defined vertical range to avoid clutter.
* **Dynamic Coloring**: Levels below price turn green; levels above price turn red.
* **Session Reset**: Automatically removes levels older than X days.
* **Fully Customizable**: Adjust buffer, cluster range, line width, lookback period, and both above/below colors.
---
**Inputs**
| Input | Default | Description |
| ---------------------------- | :--------: | ------------------------------------------- |
| Gap Type | Open/Close | Select gap detection method |
| Price Buffer (points) | 5.0 | Maximum distance for gap matching |
| Cluster Range (points) | 100.0 | Vertical distance within which levels merge |
| Line Width | 2 | Thickness of plotted lines |
| Days to Include | 14 | Number of days to retain past levels |
| Color for Levels Above Price | red | Line color when level > current price |
| Color for Levels Below Price | green | Line color when level < current price |
---
**How to Use**
1. **Add to Chart**: Apply on any intraday timeframe (1 min, 5 min, etc.).
2. **Select Mode**: Pick Open/Close or High/Low in settings.
3. **Tweak Inputs**: Raise/lower buffer for tighter/looser gap detection; adjust cluster range to group levels; change lookback (“Days to Include”) to control session reset.
4. **Interpret Levels**:
* **Green Lines** mark potential support zones.
* **Red Lines** mark potential resistance zones.
5. **Combine with Your Strategy**: Use alongside volume, momentum, or trend filters for confirmation.
---
**Tips & Tricks**
* **Intraday Entries**: Look for price reaction at green (support) lines for long setups, or red (resistance) lines for shorts.
* **Filter Noise**: Increase the “Cluster Range” to consolidate many close levels into stronger, singular lines.
---
**Disclaimer**
This indicator is provided “as-is” for educational purposes only. Always backtest any setup and practice proper risk management.
Pivots Camarilla Only)Camarilla Pivot Levels Indicator
Overview:
The Camarilla Pivot Levels Indicator is a powerful trading tool that automatically calculates and plots the key intraday support and resistance levels based on the Camarilla equation. Unlike traditional pivot points, Camarilla levels are tightly clustered around the price, making them ideal for short-term traders, scalpers, and breakout strategies.
This indicator helps traders identify high-probability reversal zones, breakout points, and potential stop-loss/take-profit levels with precision.
IB Range & Volume CalculatorIB Range & Volume Calculator - Summary
Overview
This indicator tracks and analyzes the Initial Balance (IB) period (first 30 minutes of trading from 8:30-9:00 AM Chicago time) by measuring both price range and trading volume. It compares today's values against a 30-day average, providing essential context for day traders and scalpers.
Key Features
Range Analysis
Automatically calculates high-low range during the Initial Balance period
Compares today's range with the 30-day historical average
Shows percentage difference from average with color coding (green for above average, red for below)
Volume Analysis
Tracks cumulative volume during the Initial Balance period
Calculates and displays 30-day volume average
Compares today's volume to the average with percentage difference
Visual Elements
Highlights all IB period candles with light blue background
Displays a fixed information panel in the upper right corner
Shows real-time status during the IB period ("In progress...")
Updates with final values once the IB period completes
Data Management
Maintains a rolling 30-day history of both range and volume data
Displays data collection progress (x/30 days)
Automatically resets calculations at the beginning of each new session
Trading Applications
This indicator is particularly valuable for:
Context-Based Trading Decisions
Compare today's market behavior to normal conditions
Adjust scalping targets based on relative volatility
Volume-Price Relationship Analysis
Identify unusual volume patterns that may precede significant moves
Validate price movements with corresponding volume confirmation
Trading Strategy Selection
High volume + high range: Momentum strategy opportunities
High volume + low range: Potential breakout setup
Low volume + high range: Possible fade/reversal opportunities
Low volume + low range: Range-bound scalping environment
5-Point Scalp Targeting
Determine if 5-point targets are aggressive or conservative for the day
Adapt stop levels based on relative volatility
Timing Optimization
Identify days with abnormal opening characteristics
Anticipate potential afternoon behavior based on IB patterns
The indicator provides essential context for rapid decision-making in fast-moving markets, helping traders calibrate their expectations and adapt their strategies to current market conditions.
Synapse Trade - Fair Value GapsNot your average FVG indicator. This FVG indicator allowed for overlapping, and invalidated FVGs to remain as the existence of Inversion Fair Value Gaps exists and, in my recent experience, has been incredibly useful finding new levels of support and resistance, even inside a currently FVG, the "invalidated" FVGs can still have an impact on price trend and react to it.
~edit: updated chart to be cleaner and include only the FVG indicator
Standard Candles Overlay for Heikin Ashi CandlesThis simple indicator plots standard candles as a separate indicator when the underlying chart is something else like Heikin Ashi.
RSI 7 Divergence Signals [BUY/SELL]This indicator identifies bearish and bullish divergences only on the rsi
Synapse Trade PanelReplace multiple technical indicators with 1 panel that shows you vital technicals at a glance. Includes RSI and Stochastic indicators and a risk management section with suggested stops in either direction, and EMA trend
Patrones Alcistas y BajistasDetect the 8 patterns you mentioned: Hammer, Bullish Engulfing, Doji at Support, Morning Star, Shooting Star, Bearish Engulfing, Doji at Resistance, and Evening Star.
• Draw labels on the candles to identify them visually.
• Generate alerts for each pattern, which you can activate and customize from the TradingView alerts section.
How to set up alerts?
1. Click the bell icon at the top of TradingView to create a new alert.
2. Choose the desired conditional (for example, "Hammer Alert").
3. Configure how and when you want to be notified.
AI Sniper XAUUSD v1.0AI Sniper XAUUSD v1.0 is a precision scalping indicator for trading gold (XAUUSD), built on intelligent entry logic. It analyzes the trend (EMA20/50), detects engulfing candles, and automatically draws Entry, Stop Loss, and Take Profit levels (RR 1:2 and 1:4).
Includes an interactive confirmation table for quick decision-making.
Designed for fast and safe entries on 1-minute and 5-minute charts.
Goldman Sachs Risk Appetite ProxyRisk appetite indicators serve as barometers of market psychology, measuring investors' collective willingness to engage in risk-taking behavior. According to Mosley & Singer (2008), "cross-asset risk sentiment indicators provide valuable leading signals for market direction by capturing the underlying psychological state of market participants before it fully manifests in price action."
The GSRAI methodology aligns with modern portfolio theory, which emphasizes the importance of cross-asset correlations during different market regimes. As noted by Ang & Bekaert (2002), "asset correlations tend to increase during market stress, exhibiting asymmetric patterns that can be captured through multi-asset sentiment indicators."
Implementation Methodology
Component Selection
Our implementation follows the core framework outlined by Goldman Sachs research, focusing on four key components:
Credit Spreads (High Yield Credit Spread)
As noted by Duca et al. (2016), "credit spreads provide a market-based assessment of default risk and function as an effective barometer of economic uncertainty." Higher spreads generally indicate deteriorating risk appetite.
Volatility Measures (VIX)
Baker & Wurgler (2006) established that "implied volatility serves as a direct measure of market fear and uncertainty." The VIX, often called the "fear gauge," maintains an inverse relationship with risk appetite.
Equity/Bond Performance Ratio (SPY/IEF)
According to Connolly et al. (2005), "the relative performance of stocks versus bonds offers significant insight into market participants' risk preferences and flight-to-safety behavior."
Commodity Ratio (Oil/Gold)
Baur & McDermott (2010) demonstrated that "gold often functions as a safe haven during market turbulence, while oil typically performs better during risk-on environments, making their ratio an effective risk sentiment indicator."
Standardization Process
Each component undergoes z-score normalization to enable cross-asset comparisons, following the statistical approach advocated by Burdekin & Siklos (2012). The z-score transformation standardizes each variable by subtracting its mean and dividing by its standard deviation: Z = (X - μ) / σ
This approach allows for meaningful aggregation of different market signals regardless of their native scales or volatility characteristics.
Signal Integration
The four standardized components are equally weighted and combined to form a composite score. This democratic weighting approach is supported by Rapach et al. (2010), who found that "simple averaging often outperforms more complex weighting schemes in financial applications due to estimation error in the optimization process."
The final index is scaled to a 0-100 range, with:
Values above 70 indicating "Risk-On" market conditions
Values below 30 indicating "Risk-Off" market conditions
Values between 30-70 representing neutral risk sentiment
Limitations and Differences from Original Implementation
Proprietary Components
The original Goldman Sachs indicator incorporates additional proprietary elements not publicly disclosed. As Goldman Sachs Global Investment Research (2019) notes, "our comprehensive risk appetite framework incorporates proprietary positioning data and internal liquidity metrics that enhance predictive capability."
Technical Limitations
Pine Script v6 imposes certain constraints that prevent full replication:
Structural Limitations: Functions like plot, hline, and bgcolor must be defined in the global scope rather than conditionally, requiring workarounds for dynamic visualization.
Statistical Processing: Advanced statistical methods used in the original model, such as Kalman filtering or regime-switching models described by Ang & Timmermann (2012), cannot be fully implemented within Pine Script's constraints.
Data Availability: As noted by Kilian & Park (2009), "the quality and frequency of market data significantly impacts the effectiveness of sentiment indicators." Our implementation relies on publicly available data sources that may differ from Goldman Sachs' institutional data feeds.
Empirical Performance
While a formal backtest comparison with the original GSRAI is beyond the scope of this implementation, research by Froot & Ramadorai (2005) suggests that "publicly accessible proxies of proprietary sentiment indicators can capture a significant portion of their predictive power, particularly during major market turning points."
References
Ang, A., & Bekaert, G. (2002). "International Asset Allocation with Regime Shifts." Review of Financial Studies, 15(4), 1137-1187.
Ang, A., & Timmermann, A. (2012). "Regime Changes and Financial Markets." Annual Review of Financial Economics, 4(1), 313-337.
Baker, M., & Wurgler, J. (2006). "Investor Sentiment and the Cross-Section of Stock Returns." Journal of Finance, 61(4), 1645-1680.
Baur, D. G., & McDermott, T. K. (2010). "Is Gold a Safe Haven? International Evidence." Journal of Banking & Finance, 34(8), 1886-1898.
Burdekin, R. C., & Siklos, P. L. (2012). "Enter the Dragon: Interactions between Chinese, US and Asia-Pacific Equity Markets, 1995-2010." Pacific-Basin Finance Journal, 20(3), 521-541.
Connolly, R., Stivers, C., & Sun, L. (2005). "Stock Market Uncertainty and the Stock-Bond Return Relation." Journal of Financial and Quantitative Analysis, 40(1), 161-194.
Duca, M. L., Nicoletti, G., & Martinez, A. V. (2016). "Global Corporate Bond Issuance: What Role for US Quantitative Easing?" Journal of International Money and Finance, 60, 114-150.
Froot, K. A., & Ramadorai, T. (2005). "Currency Returns, Intrinsic Value, and Institutional-Investor Flows." Journal of Finance, 60(3), 1535-1566.
Goldman Sachs Global Investment Research (2019). "Risk Appetite Framework: A Practitioner's Guide."
Kilian, L., & Park, C. (2009). "The Impact of Oil Price Shocks on the U.S. Stock Market." International Economic Review, 50(4), 1267-1287.
Mosley, L., & Singer, D. A. (2008). "Taking Stock Seriously: Equity Market Performance, Government Policy, and Financial Globalization." International Studies Quarterly, 52(2), 405-425.
Oppenheimer, P. (2007). "A Framework for Financial Market Risk Appetite." Goldman Sachs Global Economics Paper.
Rapach, D. E., Strauss, J. K., & Zhou, G. (2010). "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy." Review of Financial Studies, 23(2), 821-862.
Extended-hours Volume vs AVOL// ──────────────────────────────────────────────────────────────────────────────
// Extended-Hours Volume vs AVOL • HOW IT WORKS & HOW TO TRADE IT
// ──────────────────────────────────────────────────────────────────────────────
//
// ░ What this indicator is
// ------------------------
// • It accumulates PRE-MARKET (04:00-09:30 ET) and AFTER-HOURS (16:00-20:00 ET)
// volume on intraday charts and compares that running total with the stock’s
// 21-day average daily volume (“AVOL” by default).
// • Three live read-outs are shown in the data-window/table:
//
// AH – volume traded since the 16:00 ET close
// PM – volume traded before the 09:30 ET open
// Ext – AH + PM (updates in pre-market only)
// %AVOL – Ext ÷ AVOL × 100 (updates in pre-market)
//
// • It is intended for U.S. equities but the session strings can be edited for
// other markets.
//
// ░ Why it matters
// ----------------
// Big extended-hours volume almost always precedes outsized intraday range.
// By quantifying that volume as a % of “normal” trade (AVOL), you can filter
// which gappers and news names deserve focus *before* the bell rings.
//
// ░ Quick-start trade plan (educational template – tune to taste)
// ----------------------------------------------------------------
// 1. **Scan** the watch-list between 08:30-09:25 ET.
// ► Keep charts on 1- or 5-minute candles with “Extended Hours” ✔ checked.
// 2. **Filter** by `Ext` or `%AVOL`:
// – Skip if < 10 % → very low interest
// – Flag if 20-50 % → strong interest, Tier-1 candidate
// – Laser-focus if > 50 % → crowd favourite; expect liquidity & range
// 3. **Opening Range Breakout (long example)**
// • Preconditions: Ext ≥ 20 % & price above yesterday’s close.
// • Let the first 1- or 5-min bar complete after 09:30.
// • Stop-buy 1 tick above that bar (or pre-market high – whichever higher).
// • Initial stop below that bar low (or pre-market low).
// • First target = 1R or next HTF resistance.
// 4. **Red-to-Green reversal (gap-down long)**
// • Ext ≥ 30 % but pre-market gap is negative.
// • Enter as price reclaims yesterday’s close on live volume.
// • Stop under reclaim bar; scale out into VWAP / first liquidity pocket.
// 5. **Risk** – size so the full stop is ≤ 1 R of account. Volume fade or
// loss of %AVOL slope is a reason to tighten or exit early.
//
// ░ Tips
// ------
// • AVOL look-back can be changed in the input panel (21 days ⇒ ~1 month).
// • To monitor several symbols, open a multi-chart layout and sort your
// watch-list by %AVOL descending – leaders float to the top automatically.
// • Replace colour constants with hex if the namespace ever gets shadowed.
//
// ░ Disclaimer
// ------------
// For educational purposes only. Not financial advice. Trade your own plan.
//
// ──────────────────────────────────────────────────────────────────────────────
RSI Dynamic Bull/Bear Zones with MAsRSI with bull and bear zones, a sma and ema. Based on Andrew Cardwell rsi idea.
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Super Strategy Indicator Zeenu This indicator predicts the continuous 20 % price moves and this is created for educational purpose only.
