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Signal Stack MeterWhat it is A lightweight “go or no‑go” meter that combines your manual read of Structure, Location, and Momentum with automatic context from volatility and macro timing. It surfaces a single, tradeable answer on the chart: OK to engage or Standby. Why traders like it You keep your discretion and nuance, and the meter adds guardrails. It prevents good trade ideas from being executed in the wrong conditions. What it measures Manual buckets you set each day: Structure, Location, Momentum from 0 to 2 Volatility from VIX, term structure, ATR 5 over 60, and session gaps Time windows for CPI, NFP, and FOMC with ET inputs and an exchange‑offset Total score and a simple gate: threshold plus a “strong bucket” rule you choose How to use in 30 seconds Pick a preset for your market. Set Structure, Location, Momentum to 0, 1, or 2. Leave defaults for the auto metrics while you get a feel. Read the header. When it says OK to engage, you have both your read and the context. Defaults we recommend OK threshold: 5 Strong bucket rule: Either Structure or Location equals 2 VIX triggers: 22 and 1.25× the 20‑SMA Term mode: Diff at 0.00 tolerance. Ratio mode at 1.00+ is available ATR 5/60 defense: 1.25. Offense cue: 0.85 or lower ATR smoothing: 1 Gap mode: RTH with 0.60× ATR5 wild gap. ON wild range at 0.80× ATR5 CPI window 08:25 to 08:40 ET. FOMC window 13:50 to 14:30 ET ET to exchange offset: −60 for CME index futures. Set to 0 for NYSE symbols like SPY Alert cadence: Once per RTH session. Snooze first 30 minutes optional New since the last description Parity with Defense Mode for presets, sessions, ratio vs diff term mode, ATR smoothing, RTH‑key cadence, and snooze options Event windows in ET with a simple offset to your exchange time Alternate row backgrounds and full color control for readability Exposed series for automation: EngageOK(1=yes) plus TotalScore Debug toggle to see ATR ratio, term, and gap measurements directly Notes Dynamic alerts require “Any alert() function call”. The meter is designed to sit opposite Defense Mode on the chart. Use the position input to avoid overlap.
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Uplift32 tarafından
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context. 🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision. // Gate Keeper: ADX determines market type is_trending = adx_value > adx_trend_threshold is_ranging = adx_value <= adx_trend_threshold is_maximum_chop = adx_value <= adx_chop_threshold // BULL CONDITIONS with Structure Veto if price_above_ema and di_bullish if use_structure_filter and isBullStructure raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure else if use_structure_filter and not isBullStructure raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure 🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups. 🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework. // Define Market Structure (Bull = HH/HL, Bear = LL/LH) isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and not na(last_significant_low) and not na(prev_significant_low) and last_significant_high > prev_significant_high and last_significant_low > prev_significant_low isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and not na(last_significant_low) and not na(prev_significant_low) and last_significant_low < prev_significant_low and last_significant_high < prev_significant_high 🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations. 🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events. // === CRASH OVERRIDE (Active Penalties) === is_crash = roc_value < crash_threshold if is_crash // Calculate crash severity crash_severity = math.abs(roc_value / crash_threshold) crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0 // ACTIVE PENALTIES: Force bear dominance raw_bearScore := math.max(raw_bearScore, crash_bonus) raw_bullScore := -5.0 // ACTIVE PENALTY raw_chopScore := -5.0 // ACTIVE PENALTY ❓How It Works 🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods. 🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification. 🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency. 🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information. 🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth. Why Choose Market Regime Matrix ? The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
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AlphaExtract tarafından
Early Bird 9.4 – The No-Loss, Spot-Only BTC Trading StrategyDiscover Early Bird 9.4, your ultimate ally in the crypto markets. Designed to trade Bitcoin in spot only, with zero leverage, Early Bird offers a unique and proven approach: 90% to 100% of trades are closed in profit, and the few remaining positions are simply held as BTC until they recover. In other words: you either win, or you own more Bitcoin — but you never lose. Not a single cent of your money will ever end up in the broker’s pocket. Ideal for investors looking to eliminate the risk of loss, as long as they’re happy to own BTC, Early Bird is more than a strategy — it’s a new way to grow and secure your Bitcoin holdings while fully embracing the power of market volatility.
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Up-Only-Strategies tarafından
RATIO TPI SOLETH | JeffreyTimmermansSOLETH Ratio Trend Probability Indicator Medium-Term Trend Assessment | Dominant Major Detector: The SOLETH Ratio TPI is a medium-term trend-following tool designed to measure the performance relationship between Solana and Ethereum — two of the leading smart contract platforms in the crypto market. By tracking the SOLETH ratio, this indicator determines which of the two is acting as the dominant major in the current market environment. Rather than focusing on absolute price movements, the SOLETH Ratio TPI isolates relative strength. An upward-trending ratio means Solana is outperforming Ethereum, while a downward trend means Ethereum is taking the lead. Key Features Dominant Major Identification: The indicator’s primary function is to determine leadership between Solana and Ethereum: SOL Dominant: SOLETH ratio trending up ETH Dominant: SOLETH ratio trending down Neutral: No clear leader 8 Trend-Following Inputs: Integrates 8 carefully selected medium-term trend-following signals into a composite score for clarity and accuracy in dominance detection. Score-Based Regime Classification: Score > 0.1 → SOL in relative uptrend → Dominant Major: SOL Score < -0.1 → ETH in relative uptrend → Dominant Major: ETH Between -0.1 and 0.1 → Neutral → No clear dominance Dynamic Visual Interface: Background colors change according to the dominant asset. Bottom dashboard displays the status of all inputs, the composite score, and the determined dominance label. Use Cases: Smart Contract Sector Rotation: Identify leadership shifts between Solana and Ethereum to guide allocation within the L1 ecosystem. Sector Sentiment Insight: Dominance changes often precede broader capital flows into or out of each ecosystem. Multi-Timeframe Confirmation: Combine with broader market LTPI and MTPI tools to reinforce conviction in rotation-based strategies. Conclusion The SOLETH Ratio TPI condenses the competition between two of crypto’s top smart contract platforms into one clear, actionable view. By aggregating 8 powerful medium-term trend-following inputs, it delivers a precise assessment of which chain currently leads the market.
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JeffreyTimmermans tarafından
RATIO TPI SOLBTC | JeffreyTimmermansSOLBTC Ratio Trend Probability Indicator Medium-Term Trend Assessment | Dominant Major Detector: The SOLBTC Ratio TPI is a medium-term trend-following indicator designed to measure the relative strength between Solana and Bitcoin — two of the most influential assets in the crypto market. By analyzing the SOLBTC ratio, this tool identifies which of the two is currently the dominant major in the market cycle. Unlike standard price-based analysis, this indicator focuses on relative dominance. When Solana outperforms Bitcoin, the ratio trends upward, signaling SOL dominance. When Bitcoin outperforms Solana, the ratio trends downward, signaling BTC dominance. Key Features Dominant Major Identification: The primary goal of this TPI is to determine whether Solana or Bitcoin is leading the market: SOL Dominant: SOLBTC is trending up BTC Dominant: SOLBTC is trending down Neutral: No clear leader in the current cycle 8 Trend-Following Inputs: Combines 8 carefully selected medium-term trend-following indicators into a single composite score for clear and actionable dominance detection. Score-Based Regime Classification: Score > 0.1 → SOL in relative uptrend → Dominant Major: SOL Score < -0.1 → BTC in relative uptrend → Dominant Major: BTC Between -0.1 and 0.1 → Neutral → No clear dominance Dynamic Visuals: Background colors shift to match the dominant asset Bottom dashboard displays the state of each input, the composite score, and the resulting dominance label Use Cases: Rotation Strategies: Identify when capital is rotating between Solana and Bitcoin to optimize positioning. Market Leadership Signals: Use dominance changes as a leading indicator for broader altcoin cycles and sentiment shifts. Multi-Timeframe Confirmation: Pair with LTPI and STPI for higher conviction in directional bias. Conclusion The SOLBTC Ratio TPI distills the relationship between Solana and Bitcoin into one simple question: Who is leading right now? By combining 8 powerful trend-following inputs into a clear dominance score, it provides traders and investors with a precise, medium-term view of market leadership.
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JeffreyTimmermans tarafından
Momentum RS | QuantumResearch🚀 Momentum RS | QuantumResearch Momentum RS is a relative strength-based momentum rotation system developed by QuantumResearch. Unlike traditional relative strength tools that rely on static ratio comparisons (e.g., ETH/BTC), this script focuses on trend confirmation and momentum acceleration to dynamically rotate into the strongest trending asset across a customizable basket. 🔍 Key Highlights ✅ Trend-Validated Momentum Scoring: Each asset is scored using trend following indicator. Only assets in a confirmed uptrend are eligible for rotation. No blind allocation into a pumping asset without trend validation. 🔄 Dynamic Asset Rotation: The system selects the asset with the highest momentum among those currently in a bullish TPI state, switching only when a new asset becomes dominant. 💹 Backtestable Strategy: Includes full equity curve tracking, swap count, and customizable fees. Automatically calculates: Sharpe Ratio Sortino Ratio Omega Ratio Max Drawdown Net Profit vs HODL 📈 Momentum Visualization: Each selected asset’s momentum score is displayed in a custom performance table, along with current trend signal (LONG or CASH) and overall strategy metrics. ⚙️ How It Works Select up to 4 assets (e.g., BTC, ETH, SOL, SUI). For each, the script computes: Trend State via trend following indicator (1 = Bullish, -1 = Bearish) Momentum Score to asses the winner The strategy allocates 100% exposure to the asset with the highest momentum among those in an uptrend. If no asset is trending, the strategy holds CASH. 📊 What Makes This Unique? Most “relative strength” indicators compare the price ratio between two assets over time. This often leads to late rotations. This tool is different: It uses momentum and trend detection, not simple ratio analysis. It’s designed to avoid false breakouts by requiring trend confirmation before rotating. Ideal for rotational trading, momentum investing, and trend-following systems. 🧠 Best Use Cases Rotational Crypto Strategies (BTC vs ETH vs SOL vs SUI) Smart Trend Allocation with drawdown awareness Backtest-ready edge validation vs HODL strategies Low-frequency rebalancing with high signal quality 🛑 Disclaimer This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future returns. Always use proper risk management.
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QuantumResearch tarafından
UniStratV2 | QuantEdgeBUniversal Strategy V2 | QuantEdgeB 🔍 What is the Universal Strategy? A dynamic, multi-engine trading framework engineered to adapt across asset classes, timeframes, and market conditions. It fuses multiple complementary signal engines into a single, unified decision model—automatically balancing speed, smoothness, momentum scoring, and breakout precision. ⚙️ Core Characteristics • Multi-Engine Logic: Combines fast-reacting trend detection, adaptive smoothing, statistical momentum scoring, and volatility-normalized breakout confirmation. • Modular Architecture: Each engine operates independently yet contributes to a unified signal index—allowing plug-and-play customization or replacement of individual components. • Adaptive Thresholds: Dynamically adjusts trigger levels based on market volatility, percentile bands, or standard-deviation filters, ensuring robust performance in both quiet and turbulent conditions. • Unified Signal Aggregation: Individual engine outputs (bullish/bearish) are averaged into a single trend, minimizing noise and reinforcing conviction. 💡 Key Benefits • Balance of Reactivity & Reliability: Fast-acting modules catch early trend shifts, while smoother, statistical layers confirm and filter false moves. • Versatility Across Markets: Designed to work equally well in trending, range-bound, or high-volatility environments, and across equities, FX, commodities, and crypto. • Customizable & Extensible: Users can tailor the number and type of engines, threshold methodologies, and signal-aggregation rules to match their style and risk tolerance. • Transparency & Confidence: A real-time signal dashboard shows each engine’s contribution and the overall strategy, offering clear insight into what drives the strategy’s decisions. 📊 Generic Use Cases 1. Trend Capture Identify and ride sustained directional moves with early-warning and confirmation engines. 2. Breakout Trading Detect and validate volatility expansions while filtering out whipsaws. 3. Momentum Assessment Quantify the strength behind price moves to distinguish fleeting spikes from genuine trends. 4. Cross-Asset Rotation Apply the same framework to multiple symbols—allocating capital to the strongest opportunities. 📌 In Summary The Universal Strategy V2 | QuantEdgeB is a framework, not a single indicator. By orchestrating diverse, forward-tested methodologies into one cohesive engine, it delivers adaptive precision, signal clarity, and robust performance—empowering traders to navigate any market environment with data-driven confidence. 🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align any strategy with your objectives and risk tolerance before live trading.
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QuantEdgeB tarafından
Futures PnL Levels [MFFU]Futures PnL Levels is a purpose-built indicator designed specifically for futures traders using TradingView. Whether you're backtesting strategies, planning trades, or managing live positions, this tool gives you a clean, visual overlay of your Profit & Loss directly on the chart, based on your custom input. Why This Indicator is Different If you trade using Tradovate through TradingView , you’ve likely noticed a major limitation: TradingView does not show your real-time PnL. This has made it nearly impossible to track live profits and losses within the charting platform until now. Futures PnL Levels bridges that gap . By inputting your entry, TP, SL, and contract size, you can now replicate a live, dynamic PnL experience directly on your TradingView chart. This solves a long-standing issue for Tradovate users and significantly improves real-time trade awareness. Key Features Trade Modeling Define your trade parameters upon activating the indicator: Set your entry price , profit target , and stop loss Input the number of contracts to reflect real-world position sizing Visual PnL Display Auto-drawing Take Profit (TP) , Stop Loss (SL) , and Breakeven levels Live PnL tracking that moves with current market price Optional live display of floating PnL values and breakeven zones Styling & Display Options Adjust line colors and widths for TP/SL/Breakeven Differentiate real-time positive vs. negative PnL with separate colors Toggle visibility of label lines and full readouts Customize label size , price rounding , and other chart elements Position Summary Table View a compact summary of your trade parameters Float this table anywhere on the chart (e.g., top right ) Provides an at-a-glance view of your current setup Built for CME Futures Fully compatible with CME instruments like ES, NQ, CL, GC , and more Supports both long and short positions Works with auto-detected or manually defined futures contracts Who It’s For Futures traders looking to plan trades visually before entering a position Backtesters and strategy developers who need PnL clarity during analysis Active traders using Tradovate through TradingView who are missing live PnL tracking Why Use Futures PnL Levels ? Unlike generic TP/SL indicators, this tool offers a true replacement for missing PnL visibility in the TradingView + Tradovate ecosystem. Instead of manually inputting your profits, this indicator lets you see your trade’s performance unfold in real time — directly on the chart . Whether you're preparing a precise entry or managing an open position, Futures PnL Levels adds structure, confidence, and clarity to every trade.
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fytte tarafından
1
Hydra Hunter ~ Universal Mean Reversion System | AlphaNatt🐍 Hydra Hunter ~ Universal Mean Reversion System | AlphaNatt Advanced dual-phase mean reversion strategy that hunts dips on both regular and inverse price charts 📈 Strategy Overview The Hydra Hunter employs a sophisticated mean reversion approach that identifies high-probability dip buying opportunities while simultaneously monitoring inverse chart patterns for optimal exit signals. Like the mythical Hydra with multiple heads, this strategy attacks the market from multiple angles to capture mean reversion profits. 🎯 Key Features Dual-Phase Detection: Hunts dips on regular charts for entries, uses inverse charts for exits Dynamic Support System: Calculates adaptive support levels using ATR and lookback analysis Market Regime Filter: Only trades during favorable, ranging market conditions Quality Scoring: Multi-factor quality assessment including trend, volume, RSI, and momentum Volume Confirmation: Validates signals with volume spike detection Risk Management: Integrated stop-loss and regime-based position closure ⚙️ How It Works Dip Detection: Identifies when price drops below dynamic support levels Quality Assessment: Scores each dip based on trend alignment, volume, RSI, and momentum Entry Logic: Goes long when price dips below support during bearish regime Inverse Monitoring: Tracks inverse chart for resistance-level shorts Exit Strategy: Closes positions when market regime shifts bullish (≥0.5) 📊 Technical Components Support Calculation: Dynamic support using lowest low + ATR multiplier Trend Analysis: EMA200/50 with multi-timeframe trend scoring Volatility Filter: ATR-based sensitivity adjustment Momentum Confirmation: Rate of change and RSI validation Regime Detection: Advanced market state identification 🔧 Customizable Parameters Sensitivity: Adjust dip detection sensitivity (0.1-3.0) Lookback Period: Historical analysis window (max 200) Dip Depth: Minimum dip percentage required (0.5-10%) Risk Management: Stop-loss and risk-reward settings Visual Options: Support/resistance lines with glow effects 💡 Best Use Cases Range-bound and mean-reverting markets High-volatility cryptocurrency pairs Markets with clear support/resistance levels Complementary to trend-following strategies ⚠️ Important Notes Designed for crypto markets (optimized for BTC/USDT) Works best in volatile, range-bound conditions Uses regime filtering to avoid trending market whipsaws Includes comprehensive backtesting metrics and visualization 📚 Strategy Stats & Metrics Built-in performance analytics display: Real-time P&L tracking Equity curve visualization Comprehensive backtesting table Win rate and risk metrics "The Hydra Hunter doesn't just buy dips - it intelligently selects the highest quality mean reversion opportunities while managing risk through regime-aware position sizing." 🚀 Perfect for traders seeking: - Mean reversion opportunities in crypto markets - Advanced dip-buying strategies with smart exits - Regime-aware position management - Professional-grade backtesting and analytics Developed by AlphaNatt. Not financial advice.
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AlphaNatt tarafından
Risk & Money Calculator / Fixed Losses This indicator is designed for people who want to control their losses as precisely as possible! It allows you to quickly calculate the potential loss on a position, taking commission into account. It's designed so that you can have a fixed loss with different stop-loss lengths by adjusting the position size, expressed in currency! Next to the Stop Loss price, you'll see the percentage distance to the stop and the actual loss, including the double commission (for opening and closing). The indicator is very easy to use. You select the trade direction, enter the entry price, and the Stop Loss price. Optionally, you can set a Take Profit price to visualize the profit percentage! Since commission is charged both when opening and closing a position, you need to specify the size of your one-way commission. Important! • DON'T FORGET ABOUT LIQUIDATION, WHICH HAPPENS BEFORE THE CORRESPONDING STOP LOSS PERCENTAGE IS REACHED! • YOU ARE SOLELY RESPONSIBLE FOR YOUR CALCULATIONS AND LOSSES! • IF YOU HAVE ANY WISHES OR SUGGESTIONS RELATED TO THE INDICATOR'S OPERATION, I'M READY TO LISTEN AND POSSIBLY MAKE CHANGES TO ITS FUNCTIONALITY!
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Lev_On tarafından
Crypto Compass | QuantEdgeBIntroducing Crypto Compass | QuantEdgeB Overview Crypto Compass | QuantEdgeB is a multi-asset market regime indicator that decodes the collective momentum and sentiment of the cryptocurrency space. By computing correlation-adjusted valuation across a basket of major tokens and blending them with the chart’s own momentum pulse, it delivers a real-time “compass” of risk-on/off regimes. Plotted as dual EMAs and color-coded candles, and accompanied by a comprehensive dashboard table, Crypto Compass guides traders through broad market cycles instead of isolated price swings. Key Features • Correlation-Adjusted Valuation Aggregation Computes individual valuation for the top 30 Market Cap tokens plus total-market indices; weights each by its correlation to Bitcoin, then averages. • Large-Cap-Only Mode Optionally restricts the basket to the top 10 by market cap for a streamlined “blue-chip” sentiment readout. • Composite Momentum Blend Mixes the basket average with the chart’s own valuation to capture both cross-asset and local momentum. • Dual EMA Overlay & Candle Coloring Plots 12- and 21-period EMAs colored by the composite valuation gradient; candles are likewise color-filled to reflect regime strength. • Interactive Dashboard Table Live “Crypto Compass Dashboard” shows, for each asset: o Current value & prior bar value o Rate of Change (direction arrow) o Duration since last EMA crossover o Current trend state (“Bullish” / “Bearish”) • Regime Labels & Risk-On/Off Signal Translates the composite valuation into four regimes—Contraction, Weak, Recovery, Strong—with a clear risk-on/off indicator banner. How It Works 1. Data Fetch & Valuation Computation o Retrieves price and a simple TPI (12 vs 21 EMA cross) for each symbol via request.security. o Calculates a rolling standard deviation over a lookback (length) for each asset and the chart. 2. Correlation Weighting o Measures each asset’s correlation to Bitcoin o Multiplies each asset’s value by its correlation coefficient to emphasize high-beta relationships. 3. Basket Averaging o Averages the top-N weighted value (10 if “Large Cap Only” is true, else all ) o Blends the final average with the chart’s own valuation 4. Visual & Table Overlays o EMAs (12, 21) and candles are colored via a gradient tied to zsumad thresholds. o A table grid at the bottom-right displays per-asset metrics and computes duration since TPI crossovers to flag trend longevity. 5. Regime Mapping  ≤ –1.5 ⇒ Contraction (Risk Off)  –1.5 to 0 ⇒ Weak (Risk Off)  0 to 1.5 ⇒ Recovery (Risk On)  1.5 ⇒ Strong (Risk On) How to Use / Who Should Use It • Crypto Portfolio Managers seeking a holistic market-wide directional bias before allocating capital. • Swing & Position Traders looking to confirm if cross-asset strength aligns with their primary coin. • Systematic Strategy Developers integrating regime filters into algorithmic models. • Risk-Conscious Allocators wanting an early warning on risk-off contractions vs. risk-on expansions. Default Settings • Plot EMA: On • Value Lookback Length: 90 • BTC Correlation Length: 195 • Large Cap Only: True Conclusion Crypto Compass distills complex cross-asset dynamics into a single, actionable gauge. By combining correlation-weighted valuation, blended momentum, and dynamic regime mapping—visualized through color-coded EMAs, candles, and a rich dashboard—it empowers traders to navigate the broader crypto market cycle with clarity and confidence. 🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
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QuantEdgeB tarafından
RATIO TPI ETHBTC | JeffreyTimmermansETHBTC Ratio Trend Probability Indicator Medium-Term Trend Assessment | Dominant Major Detector: The ETHBTC Ratio TPI is a medium-term trend-following indicator designed to measure the relative strength between Ethereum and Bitcoin — the two most dominant assets in crypto. By analyzing the ETHBTC ratio, this tool provides insights into which of the two is currently leading the market trend. Unlike absolute price indicators, this tool tracks relative dominance. When Ethereum outperforms Bitcoin, the ratio trends upward, signaling ETH dominance. When Bitcoin outperforms Ethereum, the ratio trends downward, signaling BTC dominance. Key Features Dominant Major Identification: The core purpose of this TPI is to determine which asset — Ethereum or Bitcoin — is the dominant major in the current crypto cycle. ETH Dominant: ETHBTC is trending up BTC Dominant: ETHBTC is trending down Neutral: No clear directional edge 8 Trend-Following Inputs: The indicator aggregates 8 hand-picked, medium-term trend-following metrics into a single score that simplifies the ETHBTC trend assessment. Score-Based Regime Classification: Score > 0.1 → ETH is in relative uptrend → Dominant Major: ETH Score < -0.1 → BTC is in relative uptrend → Dominant Major: BTC Between -0.1 and 0.1 → Neutral trend → No clear dominance Dynamic Visuals: Background color adapts to the dominant asset Score, trend state per input, and composite result are shown in a clean dashboard Use Cases: Rotation Strategy Insight: Understand whether capital is flowing into Ethereum or Bitcoin to adjust your portfolio positioning accordingly. Dominance-Based Macro Timing: Use the dominance shift as a leading signal for broader altcoin cycles. Multi-Timeframe Confirmation: Combine with LTPI (Long-Term) and STPI (Short-Term) to build directional conviction. Conclusion The ETHBTC Ratio TPI is a highly focused tool that simplifies the complex relationship between Ethereum and Bitcoin into one clear output: who is currently leading the crypto market. With 8 inputs driving a composite trend score and a dynamic dominance label, this indicator is essential for anyone looking to time ETH vs BTC rotations with precision.
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JeffreyTimmermans tarafından
BTC Dynamic Trend Core Strategy v45// The Dynamic Trend Core is a sophisticated, multi-layer trading strategy that provides both a quantitative // // backtesting engine and a rich, intuitive visual interface. It is designed to identify high-probability // // trend-following opportunities by requiring a confluence of conditions to be met before a signal is considered // // valid. // // // // The system's philosophy is rooted in confirmation, seeking to filter out market noise by ensuring that trend, // // momentum, market sentiment, and volume are all in alignment. // // // // --- CORE LOGIC COMPONENTS --- // // 1. **Primary Trend Analysis (SAMA):** The foundation is a self-adjusting moving average (SAMA) that // // determines the underlying market trend (Bullish, Bearish, or Consolidation). // // // // 2. **Confirmation & Momentum:** Signals are confirmed with a blend of the Natural Market Slope and a Cyclic // // RSI to ensure momentum aligns with the primary trend. // // // // 3. **Advanced Filtering Layers:** A suite of optional filters allows for robust customization: // // - **Volume & ADX:** Ensure sufficient market participation and trend strength. // // - **Market Regime:** Uses total crypto market cap to gauge broad market health. // // - **Multi-Timeframe (MTF):** Aligns signals with the dominant weekly trend. // // - **BTC Cycle Analysis:** Uses Halving or Mayer Multiple models to position trades within historical // // macro cycles. // // // // --- VISUAL INTERFACE --- // // The strategy's real power comes from its on-chart visual feedback system, which provides full transparency. // // ****Note: for this to be enabled recalculate 'on every tick' needs to be enabled in the properties settings. // // 1. **Power Core Gauge:** Located at the bottom-center, this gauge is the heart of the system. It displays the // // number of active filter conditions that have been met (e.g., 5/6). It "powers up" as more conditions align,// // glowing brightly when a signal is fully confirmed and ready. // // // // 2. **Live Conditions Panel:** In the bottom-right corner, this panel acts as a detailed pre-flight checklist. // // It shows the real-time status of every single filter, helping you understand exactly why a trade is (or // // is not) being triggered. // // // // 3. **Energized Trendline:** The main SAMA trendline changes color and brightness based on the strength and // // direction of the trend, providing immediate visual context. // // // // 4. **Halving cycle visualisation:** Visual guide to halving phases // // // // --- HOW TO USE --- // // 1. **Select Operation Mode:** Use "Backtest Mode" to test settings and "Alerts-Only Mode" for live signals. // // // // 2. **Configure Strategy:** Start with the default filters. If a potential trade setup is missed, check the // // **Live Conditions Panel** to see exactly which filter blocked the signal. Adjust the filters to suit your // // specific asset and timeframe. // // // // 3. **Manage Risk:** Adjust the Risk & Exit settings to match your personal risk tolerance. //
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Andrew_S_1981 tarafından
Sat Stacking Strategies Simulation (SSSS)Sat Stacking Strategies Simulation (SSSS) This indicator simulates and compares different Bitcoin stacking strategies over time, allowing you to visualize performance, cost basis, and stacking behavior directly on your chart. Core Features: Three Stacking Strategies • Trend-Based – Stack only when price is above/below a long-term SMA. • Stack the Dip – Buy during sharp pullbacks or oversold conditions. • Price Zone – Stack only in “cheap”, “fair”, or “expensive” zones based on a simulated Short-Term Holder (STH) cost basis. Always Stack Benchmark Compare your chosen strategy against a simple “Always Stack” approach for a real-world DCA reference. Performance Metrics Table Track: • Total Fiat Added • Total BTC Accumulated • Current Value • Average Cost per BTC • PnL % • CAGR • Sharpe Ratio & Stdev • Stack Events & Time Underwater Advanced Options • Simulate cash-secured puts on unused fiat. • Simulate covered calls on BTC holdings. • Roll over unused stacking amounts for future buys. This tool is designed for Bitcoiners, stackers, and DCA enthusiasts who want to backtest and visualize their stacking plan—whether you keep it simple or go full quant. Sometimes the best alpha is just showing up every week with your wallet open… and occasionally wearing a helmet. 🪖💰
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piriya33 tarafından
1
SAFE Leverage x100Safe Leverage x100 is an indicator designed to help traders choose prudent , realistic, and dynamic leverage , adapted to the timeframe and volatility of the asset they are trading. B ased on rigorous statistical and practical observation , this indicator does not propose fixed rules, but rather provides a visual estimate of the maximum leverage a typical trade can tolerate without being liquidated , based on the current candle's movement range. At the same time, it automatically suggests a more conservative leverage (by default, half of the maximum) for more controlled risk management. Just identify which asset accepts the maximum x100 and win.!!
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luislakshmi-trading tarafından
1
MTPI SUI | JeffreyTimmermansMedium-Term Trend Probability Indicator The "Medium-Term Trend Probability Indicator" on SUI is a custom-designed tool created to analyze SUI from a medium-term perspective. While short-term indicators often respond to quick fluctuations and long-term models focus on broader macro cycles, the MTPI sits perfectly in between—detecting trend shifts over multiple weeks and helping traders and analysts stay ahead of the curve. This specific version of the MTPI is applied to SUI, making it a dedicated trend-following tool for this unique digital asset, tuned to reflect its own volatility and structural behavior. Key Features Medium-Term Focus: The MTPI is optimized for trend tracking over medium horizons—typically weeks to a few months. It filters out noise while remaining responsive to meaningful directional changes. 6 Input Signals: The model combines 6 carefully selected input trend-following indicators, each targeting different dimensions of trend strength and continuation. Market Regimes: The MTPI classifies market conditions into: Bullish → Strong upward momentum and trend confirmation Bearish → Sustained downward pressure and breakdown signals Neutral → Mixed signals or transition phases, often seen in consolidations or early reversals Visual Background: The chart background shifts based on the active regime. This provides instant visual clarity on whether the asset is trending, reversing, or consolidating. Indicator Dashboard: At the bottom of the chart, the MTPI includes a live dashboard showing: The state of all 6 inputs (Bullish, Bearish, Neutral) The composite MTPI Score The resulting Market Trend classification How It Works Input Signal Logic: Each input returns one of three possible scores: +1 = Bullish -1 = Bearish 0 = Neutral Score Aggregation: The MTPI Score is calculated as the average of all 6 input values: Score > +0.1 → Bullish regime Score < -0.1 → Bearish regime Between -0.1 and +0.1 → Neutral regime Background Coloring: The background changes automatically to match the current trend regime, making it visually easy to interpret the dominant market environment. Use Cases Mid-Term Strategy Alignment: Use the MTPI to align with the dominant medium-term market direction on SUI. Rotation & Momentum Detection: Catch early signs of reversals, breakout expansions, or trend exhaustion. Multi-Timeframe Integration: Combine MTPI with short-term tools (STPI) or long-term indicators (LTPI) for a complete market overview. Dynamic Alerts: Bullish Alert: MTPI Score crosses above +0.1 Bearish Alert: MTPI Score crosses below -0.1 Neutral Zone: MTPI Score enters between -0.1 and +0.1 Conclusion The MTPI – SUI is a reliable medium-term probability model that simplifies complex market structure into an actionable, color-coded signal system. By distilling 6 intelligent inputs into one combined trend score, it offers clear directional bias and regime classification—crucial for positioning in a volatile asset like SUI. Whether used standalone or as part of a broader trend framework, this indicator enhances clarity, discipline, and precision in your medium-term trading decisions.
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JeffreyTimmermans tarafından
MTPI OTHERS.D | JeffreyTimmermansMedium-Term Trend Probability Indicator The "Medium-Term Trend Probability Indicator" on OTHERS.D is a custom-built model designed to measure the medium-term trend strength of the entire crypto market excluding the Top 10 assets. By focusing on the performance of smaller-cap and emerging cryptocurrencies, this indicator offers a refined view of risk appetite and capital rotation beyond the major players like BTC, ETH, and other top coins. OTHERS.D (Total Crypto Market Cap Dominance excluding the Top 10) serves as a proxy for altcoin speculation cycles, market breadth, and rotational momentum. The MTPI leverages this by applying 8 carefully selected trend-following indicators to generate a composite probability score that reflects the directional bias of the broader altcoin market. Key Features Mid-Term Trend Orientation: The MTPI focuses on multi-week to multi-month trend phases, filtering out short-term volatility while responding faster than long-term macro models. 8 Input Signals: Built using 8 trend-following indicators, each measuring trend strength, direction, and persistence within the "OTHERS" segment. Market Regime Detection: The MTPI identifies three distinct market states: Bullish → Clear upward trend in the altcoin market (excluding top 10) Bearish → Persistent downward movement or weakness in the broader altcoin segment Neutral → Choppy or indecisive behavior Background Coloring: The background dynamically adapts based on the current regime, making it easy to visually identify dominant conditions. Trend Dashboard: A dashboard displays: The current state of all 8 trend signals The overall MTPI score The interpreted market regime How It Works Trend Signal Evaluation: Each of the 8 inputs outputs a discrete signal: +1 → Bullish -1 → Bearish 0 → Neutral Composite Score Calculation: The MTPI score is computed as the average of the 8 inputs: Score > +0.1 → Bullish regime Score < -0.1 → Bearish regime Between -0.1 and +0.1 → Neutral regime This produces a normalized score from -1 to +1, helping quantify trend confidence and detect early shifts in momentum. Color-Coded Background: The score automatically drives the background color: Green tones for bullish phases Red tones for bearish phases Gray/orange tones for sideways conditions Use Cases Altcoin Rotation Tracking: Use MTPI – OTHERS.D to monitor when capital is rotating into or out of smaller-cap cryptocurrencies — a key signal for risk-on or risk-off sentiment. Medium-Term Positioning: Perfect for swing traders or trend followers looking to align positions with the dominant trend in the non-top-10 market segment. Multi-Timeframe Confirmation: Combine MTPI with other tools like STPI (Short-Term) or LTPI (Long-Term) for enhanced decision-making and better timing across timeframes. Dynamic Alerts: Bullish Entry: MTPI score crosses above +0.1 Bearish Entry: MTPI score crosses below -0.1 Neutral Zone: MTPI score moves between -0.1 and +0.1 These alerts help you react quickly to regime shifts in the altcoin market outside the top 10. Conclusion The MTPI – OTHERS.D is a focused, probability-based trend tool built for analyzing the non-top-10 segment of the crypto market. By merging 8 independent trend signals into a single composite score and regime model, it provides a clear lens into where capital is flowing and how smaller-cap crypto assets are behaving. An essential tool for anyone active in altcoin trading, rotational strategies, or full-spectrum crypto market analysis.
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JeffreyTimmermans tarafından