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PVW Oscillator Session — VWAP Percent Distance Indicator PVW Oscillator Session is a professional-grade VWAP % distance indicator engineered for traders who want precise mean-reversion signals, momentum confirmation, and statistically grounded session analysis. It measures the percentage distance between price and VWAP, applies optional smoothing for noise reduction, and overlays dynamic standard-deviation bands that adapt continuously to real market behavior. This indicator pairs exceptionally well with Heikin Ashi candles. Heikin Ashi’s smoothing makes trends clearer, reduces chart noise, and enhances the readability of the oscillator’s momentum transitions. When combined, price flow becomes more structured while the PVW Oscillator shows the underlying statistical drift away from VWAP giving you a sharper, more reliable view of trend quality, exhaustion, and reversals. At its core, the script uses ohlc4 VWAP to create a normalized oscillator that works on every asset and timeframe. The optional smoothing length refines the signal further, transforming raw VWAP distance into a stable, trend-revealing momentum curve. This is particularly effective during volatile intraday sessions where noise can distort real directional intent. A real-time Welford’s algorithm engine computes the evolving mean and standard deviation (σ) of VWAP deviation across the entire chart. From this, the indicator plots dynamic ±1σ, ±2σ, ±3σ bands, each with filled zones for instant visual interpretation: • ±1σ = VWAP equilibrium zone Ideal for identifying balanced markets, compression, or accumulation/distribution phases. • 1σ → 2σ = Momentum expansion zone Perfect for spotting breakout confirmation, trend acceleration, or early reversal failure. • 2σ → 3σ = Extreme deviation zone Statistically stretched conditions where trend exhaustion or mean-reversion probability rises sharply. Momentum-based coloring is applied to both the oscillator and (optionally) to price bars, showing rising/falling behavior above or below VWAP at a glance especially powerful when paired with Heikin Ashi candles. Support the Developer I’m a solo independent developer and build all my tools entirely on my own time. If this indicator helped you, consider supporting future development: ⚡ Bitcoin Lightning (Strike — preferred): stuartbill@strike.me ₿ Bitcoin (on-chain): BC1Q3GVF3NSGVFN24SW2DCXX2RPEY47XA2ECGEW55Y Ξ Ethereum: 0x7226361178d820418d648ffEec61E8e1dedCe39F ◎ Solana: C9eYYQLgzsjPSW7Mo2BXPsXz5LZhuJZTb7XuZM3hQhH1 Thank you for supporting independent creators.
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StellarTrader2의
1
Price vs 200 EMA / 50 EMA / VWAP TablePrice vs 200 EMA / 50 EMA / VWAP Table This indicator displays a compact real-time table showing where current price is trading relative to three major dynamic levels: 200 EMA, 50 EMA, and VWAP. It provides an instant read on trend strength, bias, and distance from key moving levels — all in one glance. Color-coded signals: Lime → Price above Red → Price below Gray → Price at / near Features Adjustable table position (4 corners) Adjustable text size Toggle % distance and points distance Clean, lightweight, and non-intrusive Works on all timeframes and assets
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el1live의
Thirdeyechart Gold Simulation)The 8 XAU Global Trend Simulation Version is designed for gold traders who need a fast and accurate way to read overall market pressure across all major XAU pairs. This version monitors 8 different gold pairs at the same time and generates a clean, unified simulation that reflects the dominant directional force of gold in the global market. By observing how all XAU pairs move collectively, the script produces a simplified trend simulation that highlights whether the market environment is showing strong momentum, weakening pressure, or shifting conditions. The goal is not to provide signals, but to offer a macro-level visual model of gold behaviour across multiple international markets. Combined with enhanced total-average logic, this version provides a clearer representation of global strength versus weakness. Traders can quickly identify whether gold is experiencing broad alignment or mixed sentiment across the 8 pairs. Everything is displayed in a clean, boxed layout for maximum clarity and rapid decision-support. This version is built for speed, simplicity, and accuracy—ideal for traders who rely on multi-pair confirmation to understand the true state of gold’s global trend. Disclaimer This tool is for educational and analytical purposes only. It does not provide trading signals or financial advice. Markets carry risk and all decisions remain the responsibility of the user.
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Spiderweb11의
KING DR. DAILY RANGE BOXES Shows DR (entire session high/low) and IDR (opening range) Displays from 7:30 PM to 6:00 PM next day Customizable colors and styles for each day ⚡ 2. SWING VIOLATIONS When price breaks DR high/low AND there was a prior swing point Timing: 11:00 PM to 6:00 PM next day Draws lines from swing points to show valid breakouts 📊 3. EXPANSION & VIOLATION STATS Expansion: Pips moved beyond DR high/low (11 PM to 11 PM next day) Violation: Pips moved during 11 PM to 11 PM period Live updating statistics above/below DR levels 📅 SPECIAL FRIDAY HANDLING Extends through weekend until Monday 11 PM Tracks expansion and violations across the gap Purpose: Identify valid breakouts, track range expansion, and measure price movement beyond session ranges with professional-grade accuracy.
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shariff09z의
[CT] ATR Chart Levels From Open ATR Chart Levels From Open is a volatility mapping tool that projects ATR based price levels directly from a user defined center price, most commonly the current session open, and displays them as clean horizontal levels across your chart. The script pulls an Average True Range from a higher timeframe, by default the daily, using a user selectable moving average type such as SMA, EMA, WMA, RMA or VWMA. That ATR value is then used as the unit of measure for all projected levels. You can choose the ATR length and timeframe so the bands can represent anything from a fast intraday volatility regime to a smoother multi week average range. The core of the tool is the center line, which is treated as zero ATR. By default this center is the current session open, but you can instead anchor it to the previous close, previous open, previous high or low, or several blended prices such as HLC3, HL2, HLCC4 and OHLC4, including options that use the minimum or maximum of the previous close and current open. From this center, the indicator builds a symmetric grid of ATR based levels above and below the zero line. The grid size input controls the spacing in ATR units, for example a value of 0.25 produces levels at plus or minus 25, 50, 75, 100 percent of ATR and so on, while the number of grids each side determines how far out the bands extend. You can restrict levels to only the upper side, only the lower side, or draw both, which is useful when you want to focus on upside targets or downside expansion separately. The levels themselves are drawn as horizontal lines on the main price chart, with configurable line style and width. Color handling is flexible. You can assign separate colors to the upper and lower levels, keep the center line in a neutral color, and choose how the colors are applied. The “Cool Towards Center” and “Cool Towards Outermost” modes apply smooth gradients that either intensify toward the middle or toward the outer bands, giving an immediate visual sense of how extended price is relative to its average range. Alternatively, the “Candle’s Close” mode dynamically colors levels based on whether the current close is above or below a given band, which can help highlight zones that are acting as resistance or support in real time. Each level is optionally labeled at its right endpoint so you always know exactly what you are looking at. The center line label shows “Daily Open”, or more generally the chosen center, along with the exact price. All other bands show the percentage of ATR and the corresponding price, for example “+25% ATR 25999.90”. The label offset input lets you push those tags a user defined number of bars to the right of the current price action so the chart remains clean while still keeping the information visible. As new bars print, both the lines and their labels automatically extend and slide to maintain that fixed offset into the future. To give additional context about current volatility, the script includes an optional table in the upper right corner of the chart. This table shows the latest single period ATR value on the chosen higher timeframe alongside the smoothed ATR used for the bands, clearly labeled with the timeframe and ATR length. When enabled, a highlight color marks the table cells whenever the most recent ATR reading exceeds the average, making it easy to see when the market is operating in an elevated volatility environment compared to its recent history. In practical trading terms, ATR Chart Levels From Open turns the abstract concept of “average daily range” into specific, actionable intraday structure. The bands can be used to frame opening range breakouts, define realistic intraday profit targets, establish volatility aware stop placement, or identify areas where price has moved an unusually high percentage of its average range and may be vulnerable to mean reversion or responsive flow. Because the ATR is computed on a higher timeframe yet projected on whatever chart you are trading, you can sit on a one minute or five minute chart and still see the full higher timeframe volatility envelope anchored from your chosen center price for the session.
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ChaosTrader63의
ProCrypto OI Engine — by ruben_procryptoThe ProCrypto OI Engine is a clean and powerful tool that shows how Open Interest behaves behind every price move. It helps you instantly see whether price action is driven by real liquidity, position closing, trend continuation, or potential reversal. What it shows: OI Candles • Blue = OI increasing • Orange = OI decreasing Smoothed OI Trendline (white) Shows the true direction of market positioning. Automatic Market State Label Instantly identifies: • Bullish Continuation (Price↑ + OI↑) • Bearish Continuation (Price↓ + OI↑) • Bullish Reversal Zone (Price↓ + OI↓) • Bearish Reversal Zone (Price↑ + OI↓) • Neutral 🎯 How to use it Confirm trends using OI increases Spot reversals when price moves opposite to OI Avoid fake breakouts by seeing whether real positions support the move Works on all timeframes, ideal for 5m, 15m, 1H ✔ Why it works Price can lie. Open Interest doesn’t. This indicator reveals whether traders are entering, exiting, or being trapped — giving you a major edge.
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Ruben_ProCrypto의
Hardwaybets' Protected Highs / Protected Lows Trading# **🔸 Protected Highs & Lows (TTrades Concept) – Automated Identifier** This indicator automatically detects **Protected Highs (PHigh)** and **Protected Lows (PLow)** — a price-action concept widely discussed and popularized by the YouTuber TTrades. I loved the logic and simplicity of the trading system and the trading entry model, so I decided to create this indicator to help me identify these key levels to the strategy. In TTrades’ trading framework, a "protected high" level is formed when price takes liquidity (breaks the previous high) but closes back inside the prior candle’s range and then proceeds to break and close below the opening price of the series (it could be just one candle) of upclose (green) candles, signaling a potential reversal to the downside and creating a high level that remains “protected” until broken. The indicator draws a shape or a label, whichever the user prefers. A "protected low" is the same only in reverse. A "protected low" price level is formed when price takes liquidity (breaks the previous low) but closes back inside the prior candle’s range and then proceeds to break and close above the opening price of a series (it could be just one candle) of downclose (red) candles, signaling a potential reversal to the upside and creating a low price level that remains “protected” until broken. Again, the indicator draws a shape or a label, whichever the user prefers. This indicator locates those moments and visually marks the chart with your preferred style. --- ## **✨ What This Indicator Does** ✔ **Identifies Protected Highs (PHigh)** ✔ **Identifies Protected Lows (PLow)** ✔ **Auto-clears violated levels** If a protected level is later breached, the indicator automatically removes the marker — just like a real protected high/low should “fail.” ✔ **Flexible visual customization** You can choose between: * Labels (text markers) * Shape markers (diamond, circle, square, etc.) * Custom colors for highs and lows * Placement offsets for cleaner visuals ✔ **Clean and non-intrusive display** Markers are plotted with adjustable spacing so they do not overlap candles. --- ## **💡 How Traders Use Protected Levels** Protected highs/lows help traders: * Confirm shifts in structure * Identify liquidity grabs & failed breaks * Mark potential reversal zones * Spot continuation pressure after a sweep * Build bias around where the market defended liquidity These zones are often used in ICT-inspired and TheStrat-inspired analysis as well. I strongly encourage you to learn more about this trading method from TTrades. I am eternally grateful to him for teaching this method. --- ## **📌 Notes** * Works on any timeframe and any asset. * Designed to stay accurate and uncluttered by automatically removing invalidated levels. * Ideal for traders who follow concepts from TTrades, ICT, Wyckoff, or structural price-action methodologies.
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hardwaybets의
1
GME Liquidity + RSI Composite (IWM Proxy)🟦 Blue Line — “Liquidity Proxy” (IWM–GME % Change Spread) What it is The blue line measures the relative liquidity and risk appetite of the market compared to GME. It’s built from the % change spread between IWM (small-cap ETF) and GME, smoothed and normalized. Liquidity Proxy = Normalize (EMA (%Δ𝐼𝑊𝑀−%Δ𝐺𝑀𝐸)) Liquidity Proxy=Normalize(EMA(%ΔIWM−%ΔGME)) What it means When it rises, IWM is outperforming GME → capital is flowing into broad small caps (a sign of expanding liquidity and risk appetite). When it falls, GME is underperforming even while IWM weakens → liquidity is contracting; risk capital dries up. In simple terms: High blue line → easy liquidity, risk-on conditions. Low blue line → tight liquidity, risk-off conditions. Why it may work GME trades like a liquidity-sensitive high-beta small cap. When system-wide liquidity expands (Fed balance sheet growth, lower vol, tight credit spreads), speculative assets — especially GME — tend to outperform. By comparing GME to IWM, you’re isolating that “liquidity tide” — whether capital is rising or receding beneath risk assets. 🟧 Orange Line — “Composite” (Liquidity + RSI Momentum) What it is The orange line blends the liquidity signal (above) with a momentum measure — usually RSI or a smoothed rate of change — equally weighted. Composite = 0.5 × Liquidity Proxy + 0.5 × Momentum Composite=0.5×Liquidity Proxy+0.5×Momentum What it means Combines external liquidity conditions (market environment) with internal strength (GME’s own price action). High orange (>0.8): liquidity strong + momentum strong → sustainable uptrend. Low orange (<0.2): liquidity weak + momentum exhausted → accumulation or capitulation zones. This gives you a liquidity-adjusted momentum oscillator — not just “is GME oversold,” but “is it oversold during a liquidity drought?” (which matters much more). 🧠 Why It Works Conceptually This structure mirrors findings from several academic papers (Pastor & Stambaugh 2003, Sadka 2006, Avramov & Hameed 2016): Liquidity drives returns — risk assets rise when aggregate liquidity improves. Momentum needs liquidity — momentum strategies perform best in high-liquidity regimes and crash in liquidity contractions. By combining them, you capture regime shifts: Rising liquidity + improving momentum → start of an expansion phase. Falling liquidity + negative momentum → unwinds or bear phases. So visually: The blue line shows the tide (macro liquidity). The orange line shows the surfer riding it (GME’s strength riding that liquidity). When the two rise together → that’s when GME can actually run. When they diverge (orange rising while blue flat or falling) → that’s often a trap or exhaustion phase.
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AlertPiano의
1
AP Capital – Volatility + High/Low Projection v1.1📌 AP Capital – Volatility + High/Low Projection v1.1 Predictive Daily Volatility • Session Logic • High/Low Projection Indicator This indicator is designed to help traders visually understand daily volatility conditions, identify session-based turning points, and anticipate potential highs and lows of the day using statistical behavior observed across thousands of bars of intraday data. It combines intraday session structure, volatility regime classification, and context from the previous day’s expansion to highlight high-probability areas where the market may set its daily high or daily low. 🔍 What This Indicator Does 1. Volatility Regime Detection Each day is classified into: 🔴 High Volatility (trend continuation & expansion likely) 🟡 Normal Volatility 🔵 Low Volatility (chop, false breaks, mean-reversion common) The background color automatically adapts so you always know what environment you're trading in. 2. Session-Based High/Low Identification Different global sessions tend to create different market behaviors: Asia session frequently sets the LOW of day New York & Late US sessions frequently set the HIGH of day This indicator uses those probabilities to highlight potential turning points. 3. Potential High / Low of Day Projections The script plots: 🟢 Potential LOW of Day 🔴 Potential HIGH of Day These appear only when: Price hits the session-statistical turning zone Volatility conditions match Yesterday’s expansion or compression context agrees This keeps signals clean and prevents over-marking. 4. Clean Visuals Instead of cluttering the chart, highs and lows are marked only when conditions align, making this tool ideal for: Session scalpers Day traders Gold / NAS100 / FX intraday traders High-probability reversal traders 🧠 How It Works The engine combines: Daily range vs 20-day average Real-time intraday high/low formation Session-specific probability weighting Previous day expansion and volatility filters This results in highly reliable signals for: Fade trades Reversal setups Timing entries more accurately ✔️ Best Uses Identifying where the day’s range is likely to complete Avoiding trades during low-volatility compression days Detecting where the market is likely to turn during major sessions Using potential HIGH/LOW levels as take-profit zones Enhancing breakout or reversal strategies ⚠️ Disclaimer This indicator does not repaint, but it is not a standalone entry tool. It is designed to provide context, session awareness, and volatility-driven turning points to assist your existing strategy. Always combine with sound risk management.
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APCapitalTrading의
Debt-Cycle vs Bitcoin-CycleDebt-Cycle vs Bitcoin-Cycle Indicator The Debt-Cycle vs Bitcoin-Cycle indicator is a macro-economic analysis tool that compares traditional financial market cycles (debt/credit cycles) against Bitcoin market cycles. It uses Z-score normalization to track the relative positioning of global financial conditions versus cryptocurrency market sentiment, helping identify potential turning points and divergences between traditional finance and digital assets. Key Features Dual-Cycle Analysis: Simultaneously tracks traditional financial cycles and Bitcoin-specific cycles Z-Score Normalization: Standardizes diverse data sources for meaningful comparison Multi-Asset Coverage: Analyzes currencies, commodities, bonds, monetary aggregates, and on-chain metrics Divergence Detection: Identifies when Bitcoin cycles move independently from traditional finance 21-Day Timeframe: Optimized for Long-term cycle analysis What It Measures Finance-Cycle (White Line) Tracks traditional financial market health through: Currencies: USD strength (DXY), global currency weights (USDWCU, EURWCU) Commodities: Oil, gold, natural gas, agricultural products, and Bitcoin price Corporate Bonds: Investment-grade spreads, high-yield spreads, credit conditions Monetary Aggregates: M2 money supply, foreign exchange reserves (weighted by currency) Treasury Bonds: Yield curve (2Y/10Y, 3M/10Y), term premiums, long-term rates Bitcoin-Cycle (Orange Line) Tracks Bitcoin market positioning through: On-Chain Metrics: MVRV Ratio (Market Value to Realized Value) NUPL (Net Unrealized Profit/Loss) Profit/Loss Address Distribution Technical Indicators: Bitcoin price Z-score Moving average deviation Relative Strength: ETH/BTC ratio (altcoin strength indicator) Visual Elements White Line: Finance-Cycle indicator (positive = expansionary conditions, negative = contractionary) Orange Line: Bitcoin-Cycle indicator (positive = bullish positioning, negative = bearish) Zero Line: Neutral reference point Interpretation Cycle Alignment Both positive: Risk-on environment, favorable for crypto Both negative: Risk-off environment, caution warranted Divergence: Potential opportunities or warning signals Divergence Signals Finance positive, Bitcoin negative: Bitcoin may be undervalued relative to macro conditions Finance negative, Bitcoin positive: Bitcoin may be overextended or decoupling from traditional finance Important Limitations This indicator uses some technical and macro data but still has significant gaps: ⚠️ Limited monetary data - missing: Funding rates (repo, overnight markets) Comprehensive bond spread analysis Collateral velocity and quality metrics Central bank balance sheet details ⚠️ Basic economic coverage - missing: GDP growth rates Inflation expectations Employment data Manufacturing indices Consumer confidence ⚠️ Simplified on-chain analysis - missing: Exchange flow data Whale wallet movements Mining difficulty adjustments Hash rate trends Network fee dynamics ⚠️ No sentiment data - missing: Fear & Greed Index Options positioning Futures open interest Social media sentiment The indicator provides a high-level cycle comparison but should be combined with comprehensive fundamental analysis, detailed on-chain research, and proper risk management. Settings Offset: Adjust the horizontal positioning of the indicators (default: 0) Timeframe: Fixed at 21 days for optimal cycle detection Use Cases Macro-crypto correlation analysis: Understand when Bitcoin moves with or against traditional markets Cycle timing: Identify potential tops and bottoms in both cycles Risk assessment: Gauge overall market conditions across asset classes Divergence trading: Spot opportunities when cycles diverge significantly Portfolio allocation: Balance traditional and crypto assets based on cycle positioning Technical Notes Uses Z-score normalization with varying lookback periods (40-60 bars) Applies HMA (Hull Moving Average) smoothing to reduce noise Asymmetric multipliers for upside/downside movements in certain metrics Requires access to FRED economic data, Glassnode, CoinMetrics, and IntoTheBlock feeds 21-day timeframe optimized for cycle analysis Strategy Applications This indicator is particularly useful for: Cross-asset allocation - Decide between traditional finance and crypto exposure Cycle positioning - Identify where we are in credit/debt cycles vs. Bitcoin cycles Regime changes - Detect shifts in market leadership and correlation patterns Risk management - Reduce exposure when both cycles turn negative Disclaimer: This indicator is a cycle analysis tool and should not be used as the sole basis for investment decisions. It has limited coverage of monetary conditions, economic fundamentals, and on-chain metrics. The indicator provides directional insight but cannot predict exact timing or magnitude of market moves. Always conduct thorough research, consider multiple data sources, and maintain proper risk management in all investment decisions.
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Unicorpus의
SwRp - Multi Trapezoidal WMASwRp - Multi TWMA (TF-aware) shows up to five configurable Trapezoidal Weighted Moving Averages (TWMA) across a single pane. Each line supports an independent length, weighted taper percent, source (Close/Open/High/Low/H&L/H&L+HL2), optional band (High & Low) with fill, and a post-calculation smoothing option. The indicator is timeframe-aware: calculations can run on the chart timeframe or on a selected higher/lower timeframe. Designed to visualize dynamic support/resistance and the market’s weighted center across multiple horizons.
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swaropz의
ProCrypto OI Candles — by ruben_procryptoProCrypto OI Candles — by ruben_procrypto This indicator visualizes aggregated Open Interest using custom OI candles designed to reveal real-time liquidity shifts, positioning pressure and market intent. It helps traders understand where new leverage is entering the market, where positions are closing, and when volatility is about to expand. What the candles show Blue candles → increasing Open Interest (fresh positions entering the market, potential volatility expansion) Orange candles → decreasing Open Interest (closing positions, liquidations, reduced risk exposure) White OI line → total aggregated OI trend Why it matters: Open Interest is one of the strongest leading indicators in crypto futures. By converting OI into candles, this tool makes it easy to identify: liquidity builds trapped long/short positions short & long squeeze potential shifts in market conviction early signs of reversals momentum exhaustion hidden positioning not visible in price action Designed for: Scalpers, day traders and liquidity-focused traders who rely on OI behavior to anticipate major moves on BTC and ETH perpetual futures. Understand the real leverage behind every move.
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Ruben_ProCrypto의
Technology Stocks RSPSTechnology Stocks RSPS Indicator - TradingView Description Overview The Technology Stocks RSPS (Relative Strength Portfolio System) indicator is a sophisticated portfolio allocation tool designed specifically for technology sector stocks. It calculates relative strength positions and provides dynamic allocation recommendations based on technical price momentum analysis. Key Features - Relative Strength Analysis: Compares 15 major technology stocks and the XLK sector ETF against each other and gold as a baseline - Dynamic Portfolio Allocation: Automatically calculates optimal position sizes based on relative performance - Visual Portfolio Performance: Tracks cumulative portfolio returns with color-coded performance indicators - Customizable Table Display: Shows real-time allocation percentages and optional cash values for each position - Technical Momentum Filtering: Uses normalized indicators to identify strength and filter out weak positions Included Assets Sector ETF: XLK Major Tech Stocks: AAPL, MSFT, NVDA, AVGO, CRM, ORCL, CSCO, ADBE, ACN, AMD, IBM, INTC, NOW, TXN Benchmark: Gold (TVC:GOLD) How It Works The indicator calculates a relative strength score for each asset by comparing it against: Gold (baseline commodity) All other technology stocks in the pool The XLK sector ETF Assets with positive relative strength receive portfolio allocations proportional to their strength scores. Weak or negative performers are automatically filtered out (allocated 0%). Visual Elements Red Area: Aggregate strength of major technology stocks Navy Blue Area: Overall technical positioning index (TPI) Performance Line: Cumulative portfolio return (blue = cash-heavy, red = equity-heavy) Allocation Table: Bottom-left display showing current recommended positions Important Limitations This indicator primarily uses technical data and has significant limitations: ❌ No fundamental economic data (ISM, CLI, etc.) ❌ Limited monetary data - missing critical components: comprehensive monetary data Funding rates Detailed bond spreads analysis Collateral data ❌ No sentiment indicators ❌ No options flow or derivatives data ❌ No earnings or valuation metrics The indicator focuses purely on price-based relative strength and technical momentum. Users should combine this tool with fundamental analysis, economic data, and proper risk management for complete investment decisions. Settings Plot Table: Toggle allocation table visibility Use Cash: Enable to display dollar amounts based on portfolio size Cash Amount: Set your total portfolio value for cash allocation calculations Use Cases Sector rotation within technology stocks Relative strength-based portfolio rebalancing Technical momentum screening for tech sector Dynamic position sizing based on price trends Technical Notes The script avoids for-loops to reduce calculation errors and noise Uses semi-individual calculations for each asset Requires the Unicorpus/NormalizedIndicators/1 library for normalized momentum calculations Maximum lookback: 100 bars Disclaimer: This indicator is a technical tool only and should not be used as the sole basis for investment decisions. It does not incorporate fundamental, economic, or comprehensive monetary data. Always conduct thorough research and consider your risk tolerance before making investment decisions.
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Unicorpus의