Penunjuk dan strategi
Real-Time Open Levels with Labels + Info TableReal-Time Multi-Timeframe Open Levels with Labels & Info Panel
Overview
This indicator displays real-time opening price levels across multiple timeframes (Monthly, Weekly, Daily, 4H) directly on your chart. It features:
• Dynamic horizontal lines extending through each timeframe period
• Customizable labels with text/colors
• Special 4H line treatment for the last hour (5-min charts only)
• Integrated information panel showing symbol, timeframe, and price changes
! (www.tradingview.com)
*Example showing multiple timeframe levels with labels and info panel*
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Features & Configuration
1. Monthly Settings
! (www.tradingview.com)
Show Monthly: Toggle visibility of monthly opening price
Color: Semi-transparent blue (#2196F3 at 70% opacity)
Width: 2px line thickness
Style: Solid/Dotted/Dashed
Label: Display "M-Open" text with white text on blue background
2. Weekly Settings
! (www.tradingview.com)
Show Weekly: Toggle weekly opening price visibility
Color: Semi-transparent red (#FF5252 at 70% opacity)
Width: 1px thickness
Style: Dotted by default
Label: "W-Open" text in white on red background
3. Daily Settings
! (www.tradingview.com)
Show Daily: Toggle daily opening price
Color: Amber (#FFA000 at 70% opacity)
Width: 2px thickness
Style: Solid
Label: "D-Open" in white on orange background
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4. 4-Hour Settings (5-Minute Charts Only)
Special Features for 5-Min Timeframe:
1. Standard 4H Line
• First 3 hours: Green (#4CAF50) dashed line
• Last hour: Bright red solid line (configurable)
• Vertical divider between 3rd/4th hours
2. Configuration Options
• Main 4H Line:
◦ Color/Width/Style for initial 3 hours
◦ Toggle label ("H4-Open") visibility and styling
• Final Hour Enhancement:
*Last Hour Line*
◦ Unique red color and line style
◦ Separate width (1px) and style (Solid)
*Divider Line*
◦ Vertical red dotted line marking last hour
◦ Adjustable position/width/transparency
! (www.tradingview.com)
*4H levels showing 3-hour segment and final hour treatment*
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5. Info Panel Settings
Positioning:
• Anchor to any chart corner (Top/Bottom + Left/Right combinations)
• Three text sizes: Title (Huge), Change % (Large), Signature (Small)
Display Elements:
• Symbol: Show exchange prefix (e.g., "NASDAQ:")
• Timeframe: Current chart period (e.g., "5m")
• Change %: 24-hour price movement ▲/▼ percentage
• Custom Signature: Add text/username in footer
Styling:
• Semi-transparent white text (#ffffff77)
• Currency pair formatting (e.g., BTC/USD vs BTC-USD)
! (www.tradingview.com)
*Sample info panel with all elements enabled*
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Usage Tips
1. Multi-Timeframe Context: Use levels to identify key daily/weekly support/resistance
2. 4H Trading: On 5-min charts, watch for price reactions near final hour transition
3. Customization:
• Match line colors to your chart theme
• Use different labels for clarity (e.g., "Weekly Open")
• Disable unused elements to reduce clutter
4. Divider Lines: Helps identify institutional trading periods (hour closes)
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*Created using Pine Script v6. For optimal performance, use on charts <1H timeframe. ()*
Position Size CalculatorThis indicator is a Position Size Calculator designed for stock traders. It calculates the optimal number of shares, investment amount, and potential risk (in ₹) based on your account size, selected risk percentage (0.05% to 0.20%), entry price, stop loss, and brokerage charges. The output is neatly displayed in a table on the chart, helping you manage risk and position sizing efficiently while trading.
Peak Trade V1.1This strategy is designed to generate buy and sell signals by examining market movements with technical analysis methods. It analyzes price movements through various technical indicators such as trend structure, volume and volatility. The strategy aims to detect both the continuation of the trend and possible turning points.
The strategy automatically gives buy or sell signals under appropriate conditions in line with the algorithms it determines. These signals are especially suitable for short and medium-term transactions, but users can also use them in different time frames according to their own preferences.
Users can personalize various parameters (e.g. indicator periods, entry/exit points, risk ratio, etc.) through the strategy's settings. Thus, they can optimize them according to their own trading style and market conditions.
Important Note: This strategy has been tested on historical data, but like every strategy, it does not guarantee future results. Please always do your own analysis and do not neglect risk management. Be careful when making your investment decisions.
VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL PlotsHere’s a quick user-guide to get you up and running with your “VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL Plots” script in TradingView:
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1. Installing the Script
1. Open TradingView, go to Pine Editor (bottom panel).
2. Paste in your full Pine-v6 code and hit Add to chart.
3. Save it (“Save as…”): give it a memorable name (e.g. “VWAP Breakout+EMAs”).
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2. Configuring Your Inputs
Once it’s on the chart, click the ⚙️ Settings icon to tune:
Setting Default What it does
ATR Length 14 Period for average true range (volatility measure)
ATR Multiplier for Stop 1.5 How many ATRs away your stop-loss sits
TP1 / TP2 Multipliers (ATR) 1.0 / 2.0 Distance of TP1 and TP2 in ATR multiples
Show VWAP / EMAs On Toggles the blue VWAP line & EMAs (100/34/5)
Full Cycle Range Points 200 Height of the shaded “cycle zone”
Pivot Lookback 5 How many bars back to detect a pivot low
Round Number Step 500 Spacing of your dotted horizontal lines
Show TP/SL Labels On Toggles all the “ENTRY”, “TP1”, “TP2”, “STOP” tags
Feel free to adjust ATR multipliers and cycle-zone size based on the instrument’s typical range.
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3. Reading the Signals
• Long Entry:
• Trigger: price crosses above VWAP
• You’ll see a green “Buy” tag at the low of the signal bar, plus an “ENTRY (Long)” label at the close.
• Stop is plotted as a red dashed line below (ATR × 1.5), and TP1/TP2 as teal and purple lines above.
• Short Entry:
• Trigger: price crosses below VWAP
• A red “Sell” tag appears at the high, with “ENTRY (Short)” at the close.
• Stop is the green line above; TP1/TP2 are dashed teal/purple lines below.
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4. Full Cycle Zone
Whenever a new pivot low is detected (using your Pivot Lookback), the script deletes the old box and draws a shaded yellow rectangle from that low up by “Full Cycle Range Points.”
• Use this to visualize the “maximum expected swing” from your pivot.
• You can quickly see whether price is still traveling within a normal cycle or has overstretched.
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5. Round-Number Levels
With Show Round Number Levels enabled, you’ll always get horizontal dotted lines at the nearest multiples of your “Round Number Step” (e.g. every 500 points).
• These often act as psychological support/resistance.
• Handy to see confluence with VWAP or cycle-zone edges.
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6. Tips & Best-Practices
• Timeframes: Apply on any intraday chart (5 min, 15 min, H1…), but match your ATR length & cycle-points to the timeframe’s typical range.
• Backtest first: Use the Strategy Tester tab to review performance, tweak ATR multipliers or cycle size, then optimize.
• Combine with context: Don’t trade VWAP breakouts blindly—look for confluence (e.g. support/resistance zones, higher-timeframe trend).
• Label clutter: If too many labels build up, you can toggle Show TP/SL Labels off and rely just on the lines.
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That’s it! Once you’ve added it to your chart and dialed in the inputs, your entries, exits, cycle ranges, and key levels will all be plotted automatically. Feel free to experiment with the ATR multipliers and cycle-zone size until it fits your instrument’s personality. Happy trading!
Momentum_yogeshTrade momentum using important level breakout.
price in green zone its bullish
price in red zone its bearish
price in blue zone its no trade zone
Bollinger Band StrategyDescription of the Bollinger Band Breakout Strategy
This trading strategy, credited to Siddhart Bhanushali, is a momentum-based approach that uses Bollinger Bands and a 22-period Simple Moving Average (SMA) to identify high-probability breakout trades. It focuses on detecting periods of low volatility (contraction) followed by high volatility (expansion) to enter trades with a favorable risk-reward ratio. The strategy is designed to capture significant price movements in trending markets, with clear rules for entry, stop loss, and profit targets.
Strategy Overview
The strategy generates buy and sell signals based on specific conditions involving the 22-period SMA and Bollinger Bands. It aims to enter trades when the price breaks out of a consolidation phase, confirmed by the direction of the SMA and the behavior of a green or red candle relative to the Bollinger Bands. The minimum target for each trade is a 1:2 risk-reward ratio.
Credit
This strategy is credited to Siddhart Bhanushali, who designed it to leverage Bollinger Band breakouts in trending markets, providing a clear and systematic approach to trading with defined risk-reward parameters.
Circuit % Marker w/ Mirrored Arrows📈 Indian Market Circuit Limit Change Tracker
This indicator automatically tracks circuit limit changes (price bands) as applied in NSE/BSE stocks.
🧠 How It Works:
Start from a user-defined initial circuit limit (e.g. 10%)
If the upper or lower limit is hit, the script waits for a user-defined cooling period (e.g. 5 trading days)
After that, it automatically adjusts to the next lower or higher band (e.g. from 10% to 5%)
Shows a visual label with the current circuit % right on the chart — placed above or below candles for better visibility
🔧 Custom Inputs:
Starting Circuit % — choose between standard NSE/BSE values (20%, 10%, 5%, 2%)
Cooling Days — how many days must pass after a circuit hit before it’s allowed to change again
Label Positioning, Color, and Size — fully customizable to suit your chart style
🚫 No Clutter:
Doesn’t draw circuit limit lines
Just clean, small labels at key turning points — as seen in real trading dashboards
🔍 Notes:
NSE and BSE manually assign circuit bands — this script does not fetch live exchange data
Use it as a visual tracker and simulator of how circuit behavior would evolve under fixed rules
Volatility Level Indicator – Leverage Decider📌 Volatility Level Indicator – Leverage Decider
This indicator is designed to help traders determine the current volatility level of any asset and suggest a corresponding leverage range based on market conditions. It is especially useful for futures traders who adjust their position size and risk exposure depending on the volatility regime.
🔍 How It Works
ATR-Based Volatility Analysis:
The indicator uses the Average True Range (ATR) over a user-defined period to measure current market volatility.
Deviation Threshold:
By comparing the current ATR to its smoothed average, it calculates the relative deviation. If the current ATR exceeds the average by a certain threshold (default 20%), the market is considered highly volatile.
Volatility Levels & Leverage Guidance:
📈 High Volatility → Leverage: 3x–5x
Markets are fast and unpredictable. Lower leverage is advised.
⚖️ Mid Volatility → Leverage: 10x–20x
Conditions are balanced. Moderate leverage can be applied.
🧘♂️ Low Volatility → Leverage: 20x–35x
Price movement is tight. Higher leverage may be acceptable, but caution is still recommended.
✅ Features
Automatically detects volatility state: High, Mid, or Low
Suggests optimal leverage range for each state
Real-time label updates directly on the chart
Adjustable parameters: ATR Length, Smoothing Period, and Deviation Threshold
💡 Use Cases
Futures and margin traders managing risk
Algorithmic systems adjusting position sizing
Scalpers and swing traders filtering ideal entry environments
⚠️ Disclaimer
This indicator offers guidance based on historical volatility but does not constitute financial advice. Always consider your risk tolerance and trading plan before using leverage.
Adaptive Pulsar Momentum | QuantEdgeB⚡ Adaptive Pulsar Momentum | QuantEdgeB
🔭 What is Adaptive Pulsar Momentum?
The Adaptive Pulsar Momentum (APM) is a high-performance, modular trading system designed to decode market momentum across a range of conditions. It combines multi-indicator adaptability (RSI, MFI, Z-Score, ROC, and a hybrid AVG mode) with dynamic signal generation using five advanced "modes" of signal logic: Impulse, Trend, Heikin-Ashi Candles, Statistical Deviation, and MACD.
💡 Think of APM as a scientific instrument, scanning, adapting, and broadcasting precision-tuned momentum data in real-time, helping traders eliminate noise, guesswork, and lag.
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1.🔧 System Core: Customizability and Adaptation
📊 Indicator Modes
• 𝓡𝓢𝓘 (Relative Strength Index): Classic oscillator detecting overbought/oversold zones.
• 𝓩-𝓢𝓒𝓞𝓡𝓔: Normalized deviation from mean; ideal for statistical reversion plays.
• 𝓜𝓕𝓘 (Money Flow Index): Volume-weighted RSI-style metric.
• 𝓡𝓞𝓒 (Rate of Change): Measures the velocity of price change.
• 𝓐𝓥𝓖: Combines RSI, MFI, Z-Score, and ROC into a unified signal (normalized to 0–100 scale).
🧠 MA Engine (Smoothing)
Over a dozen moving average types:
• Includes ALMA, TEMA, JMA, SMMA, HMA, LSMA, VWMA, and more.
• Dynamic smoothing makes this system versatile across markets and timeframes.
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2.🧨 SIGNAL MODES – THE ENGINE ROOM
Each mode turns the raw smoothed indicator into a powerful momentum signal with thresholds and logic specific to the use case.
1️⃣ 𝓘𝓶𝓹𝓾𝓵𝓼𝓮 Mode
🚀 Use case:
Best for detecting explosive, fast-moving momentum before the crowd catches on.
🔍 Logic:
• Thresholds can be Static, Percentile-based, or Standard Deviation derived.
• Dynamic signal: +1 for breakout, -1 for breakdown, 0 for neutral.
• Custom threshold percentiles enable precise tuning.
🎯 Ideal for:
• Scalping breakouts
• Event-driven spikes (e.g., CPI, FOMC)
• Early trend initiation
2️⃣ 𝓣𝓻𝓮𝓷𝓭 Mode
🧭 Use case:
Built to identify and follow trends with minimal noise. Stable, low-churn logic for riding moves.
🔍 Logic:
• Signal generated via cross above/below a calculated midline (either fixed or dynamic mean).
• Best paired with SMMA or TEMA smoothing.
🎯 Ideal for:
• Swing traders
• Momentum trend followers
• Portfolio rotation strategies
3️⃣ 𝓗𝓐 𝓒𝓪𝓷𝓭𝓵𝓮𝓼 Mode
🔥 Use case:
Filters volatility while capturing structural momentum shifts using Heikin-Ashi logic on smoothed indicators.
🔍 Logic:
• Converts the smoothed signal into Heikin-Ashi candles.
• Measures close vs open to determine trend direction.
• Thresholds again can be static, percentile, or SD-based.
🎯 Ideal for:
• Visual trend clarity
• Avoiding whipsaws in sideways markets
• Discretionary trading with cleaner structure
• Mean-Reverting
4️⃣ 𝓢𝓽𝓪𝓽𝓲𝓼𝓽𝓲𝓬𝓪𝓵 𝓓𝓮𝓿𝓲𝓪𝓽𝓲𝓸𝓷 Mode
🧪 Use case:
Detects high-volatility expansions before or during major directional surges.
🔍 Logic:
• Calculates absolute deviation using HA open vs close.
• Filters this with a moving average and overlays a volatility cloud.
• Breaks above/below the cloud signal directional surge.
🎯 Ideal for:
• Pre-breakout scanning
• Identifying regime shifts
• Options traders looking for volatility expansions
5️⃣ 𝓜𝓐𝓒𝓓 Mode
🧲 Use case:
Classic MACD principles adapted to smoothed momentum indicators—ideal for trend continuation or crossovers.
🔍 Logic:
• MACD line = Pulsar signal - EMA of signal.
• Thresholds (up/down) define bias.
• Optional extra filter to validate with midline crossing.
🎯 Ideal for:
• Trend confirmation
• Crossover-based entry strategies
• Confluence with higher timeframe bias
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3.📊 System Sensor Table
Adaptive Pulsar Momentum includes a live multi-layered analytics table designed to give traders a complete pulse on current market behavior. Here's what each section reveals:
🔁 System Signal
At any given bar, the algorithm outputs one of three states:
• Long ⟹ Bullish conditions are active and sustained
• Short ⟹ Bearish momentum dominates
• Cash ⟹ Neutral zone — conditions lack a strong directional bias
This is dynamically adjusted based on the selected signal mode (Impulse, Trend, etc.) and adapts in real time to shifts in smoothed oscillator logic or candle structure.
📊 Strength: Conviction & Potential
Unlike binary signals, this table offers graded insights into how strong or fragile the signal actually is, a huge upgrade from traditional systems.
There are two distinct layers:
1. Conviction Strength –> shown when the system is in a full long or short signal.
- A value like “Long Strength: 84%” means there's high confidence in the continuation or follow-through of the current bias.
- It blends distance from threshold, momentum velocity (Rate of Change), and position in range to avoid false positives and overstretched signals.
2. Potential Strength –> shown during neutral (Cash) periods.
- Two bars appear: one for bullish potential, another for bearish potential.
- These answer: “If the market were to move soon, which side has the edge?”
- Example: "↗ 68% / ↘ 32%" means bulls have more pent-up energy or structure.
These bars provide pre-signal tension, helping traders anticipate breakouts or avoid traps during choppy periods.
🔸 HA Candle Phase (When Mode = HA Candles)
Instead of showing strength bars, this mode displays a phase label, interpreting the Heikin-Ashi candle structure in context of momentum and thresholds:
- Momentum Up / Down –> Strong impulse direction confirmed above or below dynamic bounds.
- Reversal Up / Down –> Early signs of potential reversals (price beyond bounds but opposite signal ).
- Continuation Up / Down –> Sustained movement after a signal confirmation (post-threshold cross).
- Chop –> Sideways indecisiveness, often signaling to reduce risk or await clarity.
- Neutral –> No active momentum or pattern signal.
This provides a narrative view of market behavior, ideal for discretionary traders who rely on visual rhythm and pattern recognition.
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5. 🧠 Optional Smart Configuration
Enable “Use Recommended Settings” to auto-configure:
• Optimized lengths
• Best-suited moving averages
• Signal type filters
• Volatility lookbacks
Perfect for those wanting precision without manual tuning.
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6.🧪 Use Cases by Mode Summary
🔹 Impulse Mode
Ideal for traders looking to capitalize on sharp breakouts or high-momentum reversals. This mode is built for speed and sensitivity, making it a go-to for scalping, reacting to news events, or identifying trends at their earliest inflection points.
🔹 Trend Mode
Engineered for longer-term positioning, this mode tracks sustained directional bias over time. Best suited for swing traders or those managing portfolio allocations, it's focused on the midline dynamics that define trend health and commitment.
🔹 HA Candles Mode
This mode filters out noise through smoothed Heikin-Ashi transformations, providing clean visual structure. It's perfect for discretionary traders, pattern recognizers, or those looking to enter pullbacks within broader trends. The phase system (e.g. Momentum, Reversal, Chop) adds narrative context to price action.
🔹 Statistical Deviation Mode
A quantitative engine for traders who thrive on volatility exploitation. By modeling deviations from mean behavior, it's particularly powerful in options strategies, regime detection, or scanning for expansion conditions. This mode excels when price breaks away from standard norms.
🔹 MACD Mode
The classic concept of momentum meets modern smoothing in this variant. Use this for confirmation, spotting divergences, or executing crossover-based strategies. MACD mode gives clarity in ambiguous zones, favoring structured continuation or reversal bias.
Each mode is uniquely crafted for a different style of trader and market environment, and switching between them transforms the entire engine’s behavior
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🧭 Conclusion
Adaptive Pulsar Momentum isn’t just a signal tool, it’s a market intelligence system. Whether you’re scalping volatility, swinging trends, or navigating uncertain chop, APM dynamically adjusts to the rhythm of the market. With precision-tuned signal modes, a smart strength matrix, and plug-and-play configuration, it transforms raw momentum into actionable clarity.
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
JPMorgan G7 Volatility IndexThe JPMorgan G7 Volatility Index: Scientific Analysis and Professional Applications
Introduction
The JPMorgan G7 Volatility Index (G7VOL) represents a sophisticated metric for monitoring currency market volatility across major developed economies. This indicator functions as an approximation of JPMorgan's proprietary volatility indices, providing traders and investors with a normalized measurement of cross-currency volatility conditions (Clark, 2019).
Theoretical Foundation
Currency volatility is fundamentally defined as "the statistical measure of the dispersion of returns for a given security or market index" (Hull, 2018, p.127). In the context of G7 currencies, this volatility measurement becomes particularly significant due to the economic importance of these nations, which collectively represent more than 50% of global nominal GDP (IMF, 2022).
According to Menkhoff et al. (2012, p.685), "currency volatility serves as a global risk factor that affects expected returns across different asset classes." This finding underscores the importance of monitoring G7 currency volatility as a proxy for global financial conditions.
Methodology
The G7VOL indicator employs a multi-step calculation process:
Individual volatility calculation for seven major currency pairs using standard deviation normalized by price (Lo, 2002)
- Weighted-average combination of these volatilities to form a composite index
- Normalization against historical bands to create a standardized scale
- Visual representation through dynamic coloring that reflects current market conditions
The mathematical foundation follows the volatility calculation methodology proposed by Bollerslev et al. (2018):
Volatility = σ(returns) / price × 100
Where σ represents standard deviation calculated over a specified timeframe, typically 20 periods as recommended by the Bank for International Settlements (BIS, 2020).
Professional Applications
Professional traders and institutional investors employ the G7VOL indicator in several key ways:
1. Risk Management Signaling
According to research by Adrian and Brunnermeier (2016), elevated currency volatility often precedes broader market stress. When the G7VOL breaches its high volatility threshold (typically 1.5 times the 100-period average), portfolio managers frequently reduce risk exposure across asset classes. As noted by Borio (2019, p.17), "currency volatility spikes have historically preceded equity market corrections by 2-7 trading days."
2. Counter-Cyclical Investment Strategy
Low G7 volatility periods (readings below the lower band) tend to coincide with what Shin (2017) describes as "risk-on" environments. Professional investors often use these signals to increase allocations to higher-beta assets and emerging markets. Campbell et al. (2021) found that G7 volatility in the lowest quintile historically preceded emerging market outperformance by an average of 3.7% over subsequent quarters.
3. Regime Identification
The normalized volatility framework enables identification of distinct market regimes:
- Readings above 1.0: Crisis/high volatility regime
- Readings between -0.5 and 0.5: Normal volatility regime
- Readings below -1.0: Unusually calm markets
According to Rey (2015), these regimes have significant implications for global monetary policy transmission mechanisms and cross-border capital flows.
Interpretation and Trading Applications
G7 currency volatility serves as a barometer for global financial conditions due to these currencies' centrality in international trade and reserve status. As noted by Gagnon and Ihrig (2021, p.423), "G7 currency volatility captures both trade-related uncertainty and broader financial market risk appetites."
Professional traders apply this indicator in multiple contexts:
- Leading indicator: Research from the Federal Reserve Board (Powell, 2020) suggests G7 volatility often leads VIX movements by 1-3 days, providing advance warning of broader market volatility.
- Correlation shifts: During periods of elevated G7 volatility, cross-asset correlations typically increase what Brunnermeier and Pedersen (2009) term "correlation breakdown during stress periods." This phenomenon informs portfolio diversification strategies.
- Carry trade timing: Currency carry strategies perform best during low volatility regimes as documented by Lustig et al. (2011). The G7VOL indicator provides objective thresholds for initiating or exiting such positions.
References
Adrian, T. and Brunnermeier, M.K. (2016) 'CoVaR', American Economic Review, 106(7), pp.1705-1741.
Bank for International Settlements (2020) Monitoring Volatility in Foreign Exchange Markets. BIS Quarterly Review, December 2020.
Bollerslev, T., Patton, A.J. and Quaedvlieg, R. (2018) 'Modeling and forecasting (un)reliable realized volatilities', Journal of Econometrics, 204(1), pp.112-130.
Borio, C. (2019) 'Monetary policy in the grip of a pincer movement', BIS Working Papers, No. 706.
Brunnermeier, M.K. and Pedersen, L.H. (2009) 'Market liquidity and funding liquidity', Review of Financial Studies, 22(6), pp.2201-2238.
Campbell, J.Y., Sunderam, A. and Viceira, L.M. (2021) 'Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds', Critical Finance Review, 10(2), pp.303-336.
Clark, J. (2019) 'Currency Volatility and Macro Fundamentals', JPMorgan Global FX Research Quarterly, Fall 2019.
Gagnon, J.E. and Ihrig, J. (2021) 'What drives foreign exchange markets?', International Finance, 24(3), pp.414-428.
Hull, J.C. (2018) Options, Futures, and Other Derivatives. 10th edn. London: Pearson.
International Monetary Fund (2022) World Economic Outlook Database. Washington, DC: IMF.
Lo, A.W. (2002) 'The statistics of Sharpe ratios', Financial Analysts Journal, 58(4), pp.36-52.
Lustig, H., Roussanov, N. and Verdelhan, A. (2011) 'Common risk factors in currency markets', Review of Financial Studies, 24(11), pp.3731-3777.
Menkhoff, L., Sarno, L., Schmeling, M. and Schrimpf, A. (2012) 'Carry trades and global foreign exchange volatility', Journal of Finance, 67(2), pp.681-718.
Powell, J. (2020) Monetary Policy and Price Stability. Speech at Jackson Hole Economic Symposium, August 27, 2020.
Rey, H. (2015) 'Dilemma not trilemma: The global financial cycle and monetary policy independence', NBER Working Paper No. 21162.
Shin, H.S. (2017) 'The bank/capital markets nexus goes global', Bank for International Settlements Speech, January 15, 2017.
WMA ATR With Zone + Donchian// 💡 WMA ATR With Zone + Donchian - Strategy Description (EN)
// 📈 A powerful system optimized for short-term trades.
// 🎯 Perfect for traders aiming for 0.5% to 1% profit per trade.
// ⚙️ Combines WMA crossovers, ATR zones, and Donchian filters for high-accuracy signals.
// 💥 Provides meaningful returns when used with leverage.
// 🔍 Filters out noise during sideways markets.
// 📊 Clear info panels and entry/exit zones for easy use.
// 🚀 Great for consistent scalping profits.
// 👉 If you like it, don’t forget to follow 💚
// #Scalping #Leverage #CryptoStrategy #TradingView
// ─────────────────────────────────────────────────────────────
// 💡 WMA ATR With Zone + Donchian - Strateji Açıklaması
// 📈 Kısa vadeli işlemler için optimize edilmiş güçlü bir stratejidir.
// 🎯 Özellikle %0.5 ila %1 kar hedefleyen yatırımcılar için idealdir.
// ⚙️ WMA kesişimleri, ATR bölgeleri ve Donchian kanal filtrelemesiyle yüksek doğruluk sağlar.
// 💥 Kaldıraçla birlikte anlamlı kazançlar sunabilir.
// 🔍 Yatay piyasa filtrelemesiyle yanıltıcı sinyalleri azaltır.
// 📊 Bilgi panelleri ve net giriş-çıkış sinyalleriyle kullanıcı dostudur.
// 🚀 Küçük ama istikrarlı kazançlar hedefleyenler için birebirdir.
// 👉 Beğendiyseniz takip etmeyi unutmayın 💚
// #Scalping #Kaldıraç #CryptoStrateji #TradingView
Crypto Scalping Strategy [Dubic] - LONG Only📈 Crypto Scalping Strategy - LONG Only
This indicator is a precision-built scalping strategy designed specifically for crypto markets, focusing on LONG trades only. It combines trend-following with momentum confirmation and smart exit logic to help traders capture early entries and manage trades efficiently.
🔍 Key Features:
Initial Entry Signal:
Triggered when the Fast EMA crosses above the Slow EMA (bullish crossover)
Confirmed by RSI > 50 to ensure bullish momentum
Re-Entry Signal:
Activates during a sustained bullish EMA trend
After a pullback (red Heikin Ashi candle), a green Heikin Ashi bar confirms re-entry into the trend
Trade Management:
Fixed Take Profit: Configurable (% based)
Trailing Take Profit: Activates only after the fixed TP is reached, with a deviation to lock in profits
Fixed Stop Loss: Set at 1% below entry price
Optional Trailing Stop Loss: Adds further downside protection
Clean Visuals:
EMA lines plotted for trend insight
Clear shapes for initial and re-entry buy signals
Alerts Included:
Alerts for buy entries, re-entries, and potential manual exits
🧠 Ideal For:
Scalpers and intraday traders looking for early, momentum-backed entries in trending crypto markets, with structured and disciplined exit rules.
ADR & ATR Extension from EMAThis indicator helps identify how extended the current price is from a chosen Exponential Moving Average (EMA) in terms of both Average Daily Range (ADR) and Average True Range (ATR).
It calculates:
ADR Extension = (Price - EMA) / ADR
ATR Extension = (Price - EMA) / ATR
The results are shown in a floating table on the chart.
The ADR line turns red if the price is more than 4 ADRs above the selected EMA
Customization Options:
- Select EMA length
- Choose between close or high as price input
- Set ADR and ATR periods
- Customize the label’s position, color, and transparency
- Use the chart's timeframe or a fixed timeframe
Momentum / RSI -> The NeW SystemMomentum / RSI → The NeW System 🚀📉
Calculate and visualize raw momentum or its fully featured “RSI → The NeW System” on that momentum—switch instantly between price-speed and its relative strength view, complete with dual-MA crossover signals.
What Is This Indicator? 🤔
A two-panel momentum dashboard that lets you:
See raw momentum (price change over N bars) in the bottom pane.
Overlay the “RSI → The NeW System” on that momentum in the top pane, with configurable smoothing filters and crossover logic.
Use a single master toggle to switch between them—no extra charts, no clutter.
Inputs ⚙️
Momentum Period ⏳ – Bars back for raw momentum.
RSI Length 📏 – Lookback for the RSI applied to momentum.
Use RSI Smoothing? 🔄 – OFF shows raw momentum; ON shows RSI-of-momentum.
First & Second MA Type & Length – Choose two moving-average filters (SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, VIDYA) to smooth the RSI-of-momentum.
Enable Second MA Comparison – Overlay both smoothed lines for fast vs. slow crossover signals.
Extreme High/Low Levels – Define your overbought/oversold zones for classic coloring.
How It Works 🧮
Raw Momentum
Bottom Panel only when smoothing is OFF.
Green above zero = upward acceleration.
Red below zero = downward acceleration.
Dashed gray zero line for reference.
“RSI → The NeW System”
Top Panel only when smoothing is ON.
Feeds raw momentum into an RSI (0–100 scale).
Classic Zones (if second-MA comparison is OFF):
Dark green above Extreme High → overbought speed
Dark red below Extreme Low → oversold speed
Gray in between
Dual-MA Crossover (if enabled):
Long Signal ▶️ when the fast MA dips below the slow MA → both lines turn green
Short Signal ▶️ when the fast MA climbs above the slow MA → both lines turn red
Context-Aware Reference Lines
Zero line always in bottom panel for raw momentum.
50 midline and your Extreme High/Low only in top panel when showing RSI.
Clear Two-Panel Layout 🎨
Top Panel – “RSI → The NeW System” view: one smoothed line (classic) or two (fast vs. slow crossover).
Bottom Panel – Raw momentum when smoothing is OFF, for direct speed insight.
Pro Tips 💡
Catch breakouts with raw momentum spikes—flip smoothing OFF to see every acceleration stall.
Filter noise and ride trends with the RSI-of-momentum smoothing—flip smoothing ON.
Use dual-MA crossovers for early long/short signals: fast vs. slow momentum shifts.
Watch divergences: price highs without matching momentum or RSI peaks hint at weakening moves.
Combine with volume/volatility filters to avoid traps in thin markets.
With everything unified into one streamlined view, you no longer need separate release notes or toggles—the full power of raw vs. smoothed momentum (including classic zones and fast/slow crossover logic) is baked into a single, elegant two-panel indicator. 🚀
Market Signal Suite (No Funding)A universal indicator for short-term and medium-term trading without taking into account funding.
Enhanced Indicator_lvnguyenThis is a multi-functional technical indicator that combines several tools into one script to support precise trading decisions.
Features included:
- ✅ Automatic Pivot High/Low detection with BUY/SELL labels
- ✅ Bollinger Bands with shaded zone for volatility visualization
- ✅ RSI calculation to identify overbought/oversold conditions
- ✅ Volume spike detection (customizable threshold)
- ✅ Trend structure based on multi-timeframe moving averages (Fast, Medium, Slow)
- ✅ Clear MA crossover alerts with visual markers (up/down triangles)
This indicator is suitable for both swing and intraday traders who want to analyze trend momentum, reversal zones, and entry/exit signals more clearly.
Combine this with price action for best results.
Key Levels+ Psvra+ Fvg by RiotwolftradingKey Levels, PVSRA & FVG Synergy by Riotwolftrading
This Pine Script indicator for TradingView combines Key Levels, Fair Value Gaps (FVGs), Price Volume Spread Analysis (PVSRA), Volume Weighted Average Price (VWAP), and Asian Session Range to create a cohesive tool for traders focusing on price action, volume analysis, and market structure. The synergy of these features helps traders identify high-probability setups by aligning historical support/resistance zones, volume-driven momentum, and price imbalances, with VWAP and Asian Session Range providing trend and range context. This indicator is highly customizable, allowing traders to tailor visuals and settings to their trading style.
Why This Combination?
The integration of Key Levels, FVGs, PVSRA, VWAP, and Asian Session Range addresses the needs of traders who combine price action with volume analysis. Key Levels highlight critical support/resistance zones across multiple timeframes, FVGs pinpoint areas of price inefficiency for potential reversals or continuations, PVSRA reveals market strength through volume-colored candles, VWAP tracks trend direction, and Asian Session Range identifies key intraday ranges. Together, they enable traders to confirm entries and exits with multiple layers of confluence, reducing noise and enhancing decision-making.
Features and Functionality
1. Key Levels
Purpose: Plots historical high, low, and mid levels across daily, weekly, monthly, and yearly timeframes to identify support/resistance zones.
How It Works: Uses request.security to fetch price data (open, high, low) for specified periods. For example:
Daily: Previous day’s high/low and Monday’s high/low.
Weekly: Current and previous week’s high/low.
Monthly: Current and previous month’s high, low, open.
Yearly: Current and previous year’s high, low, open, mid.
Customization: Toggle levels on/off, extend lines, adjust colors, and add labels for clarity.
Usage: Traders can use these levels to identify breakout or reversal zones, especially when aligned with FVGs or high-volume candles.
2. Fair Value Gaps (FVGs)
Purpose: Highlights zones of price imbalance where rapid price moves leave “gaps” with low volume, indicating potential areas for price to revisit.
How It Works: Builds on open-source FVG logic by fadizeidan, with significant enhancements (constituting <10% of the codebase). The algorithm detects gaps by comparing price movements against volume thresholds, filtering insignificant gaps using a custom momentum-based approach. Boxes are drawn on the chart for timeframes like 15m, 90m, or 240m.
Credit: Thanks to fadizeidan for the foundational FVG logic, which we’ve extended with multi-timeframe detection and volume filtering.
Customization: Choose timeframes, toggle boxes, and adjust colors.
Usage: Enter trades when price revisits FVG zones, especially if supported by Key Levels or PVSRA signals.
3. Price Volume Spread Analysis (PVSRA)
Purpose: Colors candles based on volume to highlight market strength or weakness, helping traders confirm price moves.
How It Works: Calculates average volume over a user-defined lookback period. Candles are colored as follows:
Green/Blue: Bullish candles with volume ≥150% or ≥200% of average, indicating strong buying pressure.
Red/Fuchsia: Bearish candles with volume ≥150% or ≥200% of average, indicating strong selling pressure.
Gray/Black: Normal volume candles.
The thresholds are dynamically adjusted to market conditions, improving reliability.
Customization: Adjust lookback period, volume thresholds, and colors.
Usage: Confirm breakouts or reversals at Key Levels or FVGs when high-volume candles (green/blue or red/fuchsia) appear.
4. Volume Weighted Average Price (VWAP)
Purpose: Plots a dynamic average price weighted by volume, serving as a trend or support/resistance indicator.
How It Works: Computes VWAP by summing (price × volume) and dividing by total volume, resetting at user-defined intervals (e.g., session, week). The line updates dynamically on the last bar.
Customization: Choose reset period, toggle visibility, and adjust color.
Usage: Use VWAP to gauge trend direction or identify dynamic support/resistance, especially when price interacts with Key Levels or FVGs.
5. Asian Session Range
Purpose: Marks the high and low of the Asian session to highlight key intraday range levels.
How It Works: Identifies the Asian session (default: 2:00–9:00 Madrid time) using timestamp checks, plotting high/low lines and a box. The range is calculated using intraday price data.
Customization: Adjust timezone, session times, line/box visibility, and colors.
Usage: Trade breakouts or reversals from Asian session highs/lows, especially when aligned with FVGs or high-volume PVSRA candles.
How to Use
Add to Chart: Apply the indicator to a clean chart for optimal visibility.
Configure Settings: Use the inputs menu to:
Enable/disable features (e.g., show only daily Key Levels or 90m FVGs).
Adjust timeframes, colors, and label settings.
Set VWAP reset period or Asian session timezone.
Trading Strategy:
Entries: Look for price approaching a Key Level or FVG, confirmed by a high-volume PVSRA candle (green/blue for longs, red/fuchsia for shorts).
Exits: Target VWAP or the next Key Level, or exit on loss of momentum (normal-volume candles).
Context: Use Asian Session Range to identify intraday bias or breakout levels.
Example: On a 15m chart, enter a long when price revisits a 90m FVG near a daily Key Level, with a green PVSRA candle and price above VWAP. Exit at the next Key Level or VWAP rejection.
Technical Notes
Data Fetching: Uses request.security to pull price and volume data across timeframes, ensuring accurate calculations.
Dynamic Updates: Lines, boxes, and labels update on the last bar to reflect real-time data.
Performance: Optimized for minimal lag, with efficient loops and conditional checks.
Chart Clarity: Outputs (lines, boxes, candle colors) use distinct colors and labels to avoid confusion.
Why It’s Unique
Unlike standalone indicators, this script integrates multiple perspectives (price levels, volume, imbalances, trend) into a single tool, reducing chart clutter and enhancing confluence. The enhanced FVG logic, dynamic PVSRA thresholds, and multi-timeframe Key Levels provide a robust framework for price action traders, distinct from existing indicators.
Acknowledgments
Special thanks to fadizeidan for the open-source FVG logic, which inspired our enhanced implementation. Their code is a minor component (<10%) of this script, with significant improvements in filtering and integration.
Publish Notes
Chart: Published with a clean chart showing only this script’s outputs (Key Levels, FVG boxes, PVSRA candles, VWAP line, Asian Session Range). No additional indicators or drawings are included.
Happy trading! 🚀
RSI -> The NeW SystemRSI → The NeW System 📊
A fully customizable Relative Strength Index with optional smoothing filters and dynamic color zones.
What is the RSI? 🤔
The Relative Strength Index (RSI) measures the speed and magnitude of price changes. It highlights overbought (> your “Extreme High”) and oversold (< your “Extreme Low”) conditions, and uses a midpoint (50) to separate bullish from bearish momentum.
Indicator Inputs ⚙️
RSI Source 📈
Price series for the RSI calculation (e.g. close, typical price).
RSI Length ⏳
Lookback period for the raw RSI.
MA Type for Smoothing 🔄
Choose how to filter the RSI line:
None – raw RSI, no smoothing.
SMA – Simple Moving Average of the RSI values.
EMA – Exponential Moving Average, weights recent values more.
WMA – Weighted Moving Average, linearly de-emphasizes older values.
HMA – Hull MA, very smooth with reduced lag via square-root period.
RMA – Wilder’s MA, the classic smoothing used in RSI.
LSMA – Least Squares MA (linear regression) to highlight trend slope.
DEMA – Double EMA (2×EMA – EMA of EMA) for minimal lag.
TEMA – Triple EMA (3×EMA – 3×EMA² + EMA³) for extra smoothness.
VIDYA – Variable Index Dynamic Average, adapts smoothing to RSI volatility.
MA Smoothing Length 📐
Period for your chosen MA filter.
Extreme High Level 🚩
RSI threshold for overbought (default: 70).
Extreme Low Level 🟢
RSI threshold for oversold (default: 30).
Middle Line ➖
Fixed at 50 to separate bullish (>50) from bearish (<50) momentum.
MA Types Explained 🔍
None: No filter; every RSI spike/dip is visible.
SMA: Evenly averages the last N values—solid smoothing but slower to react.
EMA: Weights recent data more—faster response, moderate smoothing.
WMA: Heavier weighting on newest points—quicker than EMA for the same length.
HMA: Uses weighted and square-root adjustments—super smooth and fast.
RMA: Wilder’s smoothing—very stable, minimal noise.
LSMA: Fits a regression line—excellent at showing the RSI’s trend direction.
DEMA: Combines two EMAs to cut lag—smooth with swift reactions.
TEMA: Uses three EMAs for ultimate lag reduction and smoothness.
VIDYA: Adjusts its smoothing factor dynamically based on volatility—stays smooth in calm markets, adapts quickly when volatility surges.
How It Works 🧮
Raw RSI: Calculate the classic RSI over your chosen length.
Optional Smoothing: If you pick an MA Type, the raw RSI is filtered accordingly.
Dynamic Coloring:
Above Extreme High → Dark red (overbought alert).
70 → 50 → Bright green (strong bullish momentum).
50 → 30 → Bright red (weakening momentum).
Below Extreme Low → Dark green (oversold opportunity).
Visual Aids:
Dashed red line at Extreme High.
Dashed green line at Extreme Low.
Dotted gray line at 50.
Background fill between the high/low zones for instant visual cues.
Raw RSI overlay (faint gray) behind the smoothed line when smoothing is active.
Plot & Interpretation 🎨
Smoothed RSI Line colored by zone for immediate strength/weakness reading.
Zone Background between overbought/oversold thresholds to highlight critical areas.
Optional Raw RSI behind the filter to compare noise vs. clarity.
Pro Tips 💡
EMA for balanced smoothing, HMA/DEMA/TEMA for lightning-fast signals, VIDYA for volatility-adaptive filtering.
Watch crosses of 50 on your smoothed line to confirm trend shifts.
Use extreme bounces (30 or 70) for mean reversion entries/exits; breakouts beyond them for trend confirmation.
Compare raw vs. smoothed lines to fine-tune signal sensitivity vs. noise suppression.
Tailor RSI → The NeW System to your strategy, whether you need razor-sharp entries or a cleaner, trend-focused view! 🚀
Chandelier Exit + EMA Filtered SignalsThis script is a powerful upgrade to the original Chandelier Exit by Alex Orekhov (everget), combining trend-following logic with higher-quality trade filtering.
✅ Key Features:
Chandelier Exit logic with ATR-based stop levels
Buy/Sell signals only when trend is confirmed:
Buy: Price must be above EMA 13, 50, and 200
Sell: Price must be below EMA 13, 50, and 200
Candle highlighting: Green for Buy, Red for Sell
Signal labels for visual clarity
Toggle to show/hide EMAs
Built-in alerts for:
Buy signal
Sell signal
Trend direction change
🛠️ Inputs:
ATR Period and Multiplier
Toggle: Use Close Price for High/Low Calculation
Toggle: Show/Hide Labels and State Highlight
Toggle: Show/Hide EMA 13, 50, 200
Toggle: Await confirmed bar for alerts
🔔 Alerts Included:
Chandelier Exit Buy
Chandelier Exit Sell
Direction Change (long to short or vice versa)
💡 How to Use:
Use on trending assets (e.g., Gold, Indices, Crypto).
Combine with support/resistance or session filters for optimal results.
Enable alerts to be notified on trade setups.
📢 Credits:
Based on the original Chandelier Exit script by everget.
Enhancements by AP Capital for filtered signals and better visual feedback.
Resistance Breakout LevelsResistance Breakout Levels
An advanced TradingView indicator that detects significant resistance pivots and marks confirmed breakouts.
Description:
This Pine Script automatically identifies swing-high pivot points as potential resistance levels. It confirms a breakout only after a configurable number of consecutive closes above the pivot, reducing noise and avoiding false signals. Once validated, it draws a horizontal breakout line at the pivot price and adds a label with the breakout value. Traders can choose to display all breakout lines or only the single highest breakout within a specified lookback period. Additionally, a dynamic current price line spans the chart for quick reference.
Features:
• Pivot High Detection for Resistance Levels
• N-Consecutive Close Breakout Confirmation
• Toggle Between All Breakouts or Highest Breakout with Lookback Window
• Full-Width Live Current Price Line
• Customizable Line Colors, Widths, and Extension Direction
• Price Labels Directly on Breakout Lines
User Inputs:
• Pivot Bars (Left/Right): Number of bars used to detect pivot highs
• Consecutive Closes Above: Closes required above pivot to confirm breakout
• Show All Breakouts: Option to plot every confirmed breakout line
• Highest Lookback Bars: Lookback window for retaining only the highest breakout
• Breakout Line Color & Width: Customize breakout line appearance
• Price Line Color & Width: Customize live current price line appearance
