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Volume Momentum Strategy [MA/VWAP Cross]Deconstructing the Volume Momentum Strategy: An Analysis of MA-VWAP Cross Mechanics Introduction The "Volume Momentum Strategy " is a technical trading algorithm programmed in Pine Script v6 for the TradingView platform. At its core, the strategy is a trend-following system that utilizes the interaction between a specific Moving Average (MA) and the Volume Weighted Average Price (VWAP) to generate trade signals. While the primary execution logic relies on price crossovers, the strategy incorporates a sophisticated secondary layer of analysis using the Commodity Channel Index (CCI) and Stochastic Oscillator. Uniquely, these secondary indicators are applied to volume data rather than price, serving as a gauge for market participation and momentum intensity. The Core Engine: MA and VWAP Crossover The primary engine driving the strategy's buy and sell decisions is the crossover relationship between a user-defined Moving Average and the VWAP. 1. The Anchor (VWAP): The strategy calculates the Volume Weighted Average Price based on the HLC3 (High, Low, Close divided by 3) source. VWAP serves as the dynamic benchmark for "fair value" throughout the trading session. 2. The Trigger (Moving Average): The script allows for flexibility in defining the "fast" line, offering options such as Simple (SMA), Exponential (EMA), or Hull Moving Averages. 3. The Signal: o A Long (Buy) signal is generated when the chosen MA crosses over the VWAP. This suggests that short-term price momentum is exceeding the average volume-weighted price of the session, indicating bullish sentiment. o A Short (Sell) signal is generated when the MA crosses under the VWAP, indicating bearish pressure where price is being pushed below the session's volume-weighted average. The Role of CCI and Stochastic: Analyzing Volume Momentum The prompt specifically inquires about how the CCI and Stochastic indicators fit into this process. In standard technical analysis, these oscillators are used to identify overbought or oversold price conditions. However, this strategy repurposes them to analyze Volume Momentum. 1. The Calculation Instead of using close prices as the input source, the script passes volume data into both indicator functions: • Volume CCI: Calculated as ta.cci(volume, cciLength). This measures the deviation of current volume from its statistical average. • Volume Stochastic: Calculated as ta.stoch(volume, volume, volume, stochLength). This gauges the current volume relative to its recent range. 2. The "Volume Spike" Condition The strategy combines these two indicators to define a specific market condition labeled isVolumeSpike. A volume spike is confirmed only when both conditions are met simultaneously: • The Volume CCI must be greater than a defined threshold (default: 100). • The Volume Stochastic must be greater than a defined threshold (default: 80). 3. Integration into the Process It is critical to note how this script currently applies this "Volume Spike" logic: • Visual Confirmation: In the current version of the code, the isVolumeSpike boolean is used strictly for visual feedback. When a spike is detected, the script paints the specific price bar yellow and plots a small triangle marker below the bar. • Strategic Implication: While the code calculates these metrics, the variables long_condition and short_condition currently rely solely on the MA/VWAP crossover. The developer has left the volume logic as a visual overlay, noting in the comments that it serves as a "visual/alert" or a potential filter. • Potential Alpha: Conceptually, this setup implies that a trader should look for the MA/VWAP crossover to occur coincidentally with—or shortly after—a "Volume Spike" (yellow bar). This would confirm that the price move is backed by significant institutional participation (volume) rather than just retail noise. Risk Management and Time Constraints The strategy wraps these technical signals in a robust risk management framework. It includes hard-coded time windows (start/stop trading times) and a "Close All" function to prevent holding positions overnight. Furthermore, it employs both percentage-based and dollar-based Stop Loss and Take Profit mechanisms, ensuring that every entry—whether generated by a high-momentum crossover or a standard trend move—has a predefined exit plan. Conclusion The "Volume Momentum Strategy" is a hybrid system. It executes trades based on the reliable trend signal of MA crossing VWAP but informs the trader with advanced volume analytics. By processing volume through the CCI and Stochastic calculations, it provides a "heads-up" display regarding the intensity of market participation, allowing the trader to distinguish between low-volume drifts and high-volume breakout moves.
Chiến lược Pine Script®
của vlenarcic
Santo Graal Tendência🌟 Holy Grail Trend – Clarity in the Flow of the Market Introducing Holy Grail Trend, a smart trend-following indicator designed for traders who want to ride strong moves while avoiding noise and false breakouts. By blending adaptive cycle analysis, smoothed momentum, and dynamic support/resistance logic, this tool highlights the true underlying trend—not just price noise. Whether you're a swing trader, position trader, or intraday momentum seeker, Holy Grail Trend helps you stay aligned with the market’s dominant direction while filtering out choppy, sideways phases. 🔍 Key Features: ✅ Clean, color-coded trend visualization (bullish / bearish) ✅ Adaptive sensitivity based on current market cycle length ✅ Dynamic trend bands that adjust to volatility and price structure ✅ Minimal lag and no repainting — reliable in real-time ✅ Works across all assets and timeframes (forex, stocks, crypto, indices) ✅ Lightweight and chart-friendly 💡 How to Use: Go long when the trend turns green and price is above the dynamic band Go short when the trend turns red and price is below the band Stay flat or reduce exposure during neutral (gray) or conflicting phases The “Holy Grail” isn’t about chasing every move—it’s about trading with the tide, not against it. Combine this indicator with your risk management rules, and you’ll have a powerful ally in your trading journey.
Chỉ báo Pine Script®
của LorLynMB
MarketCap & SectorThis indicator shows a quick fundamental snapshot for the current stock directly on the chart. It displays: - Market Cap in ₹ crores (for example: 4,609.11 Cr) - Market‑cap category based on size (Large‑cap, Mid‑cap, Small‑cap, or Micro‑cap) - Sector and Industry of the company - 1‑month average daily volume in a compact format (for example: 10.5M) Use it to instantly see how big the company is, what segment of the market it belongs to, and how actively it trades, without opening any extra info panels or websites.
Chỉ báo Pine Script®
của CS_VCP
1
Elliott Wave Multi-Level (Micro/Main)**Title Suggestion:** Elliott Wave Multi-Level Strategy (Micro/Main) **Short Description (for TradingView):** This strategy detects Elliott Waves on two levels — **Micro** (short-term swings) and **Main** (higher-level structures) — and uses them for fully automated long and short trading. Main Impulse waves (1–5) and ABC corrections are identified using pivot logic, ATR-based movement filters, volume confirmation, and an optional EMA trend filter. Micro Impulse waves serve as confirmation for Main structures, creating a multi-level validation system that significantly reduces false signals. Entries are taken either: * **with the trend**, after confirmed Main Impulse waves, or * optionally as **reversal trades** at the completion of ABC corrections. Stop-loss and take-profit levels are dynamically calculated using ATR multipliers, allowing the strategy to adapt to different volatility environments. All parameters (pivots, filters, confirmations, risk settings) are fully customizable to fit various markets and timeframes (e.g., 1m–15m).
Chỉ báo Pine Script®
của KnuStrategicTrading
Vinz Win BTC – STRATEGY AUTO 1m🚀 VinzWin BTC Strategy – BTC Scalping AUTO 1 min The VinzWin strategy is based on a simple and highly effective price action pattern: ✅ 2 red candles followed by 1 green candle ✅ Doji filter set to 0 ✅ Trading exclusively on BTC ✅ Session from 12:00 to 12:00 (24/7) ✅ Fixed Risk/Reward at 1:2 ✅ Stop Loss set in fixed € amount ✅ Automatic risk management based on the Stop Loss On every trade: The Stop Loss is defined in fixed euros, The Take Profit is always set at twice the risk, The lot size is automatically adjusted to market conditions, ensuring clean, stable, and fully controlled risk management. 📊 Multi-year backtests are available and show truly outstanding results, with strong consistency and an excellent profit/loss ratio. 👉 A simple, mechanical strategy with no over-optimization, perfectly suited for BTC scalping with fully controlled capital management in euros.
Chiến lược Pine Script®
của Vincent-Aina
Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Chỉ báo Pine Script®
của QuantAlgo
10
NIFTY Weekly Option Seller DirectionalHere’s a straight description you can paste into the TradingView “Description” box and tweak if needed: --- ### NIFTY Weekly Option Seller – Regime + Score + Management (Single TF) This indicator is built for **weekly option sellers** (primarily NIFTY) who want a **structured regime + scoring framework** to decide: * Whether to trade **Iron Condor (IC)**, **Put Credit Spread (PCS)** or **Call Credit Spread (CCS)** * How strong that regime is on the current timeframe (score 0–5) * When to **DEFEND** existing positions and when to **HARVEST** profits > **Note:** This is a **single timeframe** tool. The original system uses it on **4H and 1D separately**, then combines scores manually (e.g., using `min(4H, 1D)` for conviction and lot sizing). --- ## Core logic The script classifies the market into 3 regimes: * **IC (Iron Condor)** – range/mean-reversion conditions * **PCS (Put Credit Spread)** – bullish/trend-up conditions * **CCS (Call Credit Spread)** – bearish/trend-down conditions For each regime, it builds a **0–5 score** using: * **EMA stack (8/13/34)** – trend structure * **ADX (custom DMI-based)** – trend strength vs range * **Previous-day CPR** – in CPR vs break above/below * **VWAP (session)** – near/far value * **Camarilla H3/L3** – for IC context * **RSI (14)** – used as a **brake**, not a primary signal * **Daily trend / Daily ADX** – used as **hard gates**, not double-counted as extra points Then: * Scores for PCS / CCS / IC are **cross-penalised** (they pull each other down if conflicting) * Final scores are **smoothed** (current + previous bar) to avoid jumpy signals The **background colour** shows the current regime and conviction: * Blue = IC * Green = PCS * Red = CCS * Stronger tint = higher regime score --- ## Scoring details (per timeframe) **PCS (uptrend, bullish credit spreads)** * +2 if EMA(8) > EMA(13) > EMA(34) * +1 if ADX > ADX_TREND * +1 if close > CPR High * +1 if close > VWAP * RSI brake: * If RSI < 50 → PCS capped at 2 * If RSI > 75 → PCS capped at 3 * Daily gating: * If daily EMA stack is **not** uptrend → PCS capped at 2 **CCS (downtrend, bearish credit spreads)** * +2 if EMA(8) < EMA(13) < EMA(34) * +1 if ADX > ADX_TREND * +1 if close < CPR Low * +1 if close < VWAP * RSI brake: * If RSI > 50 → CCS capped at 2 * If RSI < 25 → CCS capped at 3 * Daily gating: * If daily EMA stack is **not** downtrend → CCS capped at 2 **IC (range / mean-reversion)** * +2 if ADX < ADX_RANGE (low trend) * +1 if close inside CPR * +1 if near VWAP * +0.5 if inside Camarilla H3–L3 * +1 if daily ADX < ADX_RANGE (daily also range-like) * +0.5 if RSI between 45 and 55 (classic balance zone) * Daily gating: * If daily ADX ≥ ADX_TREND → IC capped at 2 (no “strong IC” in strong trends) **Cross-penalty & smoothing** * Each regime’s raw score is reduced by **0.5 × max(other two scores)** * Final IC / PCS / CCS scores are then **smoothed** with previous bar * Scores are always clipped to ** ** --- ## Regime selection * If one regime has the highest score → that regime is selected. * If there is a tie or close scores: * When ADX is high, trend regimes (PCS/CCS) are preferred in the direction of the EMA stack. * When ADX is low, IC is preferred. The selected regime’s score is used for: * Background colour intensity * Minimum score gate for alerts * Display in the info panel --- ## DEFEND / HARVEST / REGIME alerts The script also defines **management signals** using ATR-based buffers and Camarilla breaks: * **DEFEND** * Price moving too close to short strikes (PCS/CCS/IC) relative to ATR, or * Trend breaks through Camarilla with ADX strong → Suggests rolling away / widening / converting to reduce risk. * **HARVEST** * Price has moved far enough from your short strikes (in ATR multiples) and market is still range-compatible → Suggests booking profits / rolling closer / reducing risk. * **REGIME CHANGED** * Regime flips (IC ↔ PCS/CCS) with cooldown and minimum score gate → Suggests switching playbook (range vs trend) for new entries. Each of these has a plotshape label plus an `alertcondition()` for TradingView alerts. --- ## UI / Panel The **top-right panel** (optional) shows: * Strategy + final regime score (IC / PCS / CCS, x/5) * ADX / RSI values * CPR status (Narrow / Normal / Wide + %) * EMA Stack (Up / Down / Mixed) and EMA tightness * VWAP proximity (Near / Away) * Final **IC / PCS / CCS** scores (for this timeframe) * H3/L3, H4/L4, CPR Low/High and VWAP levels (rounded) These values are meant to be **read quickly at the decision time** (e.g. near the close of the 4H bar or daily bar). --- ## Intended workflow 1. Run the script on **4H** and **1D** charts separately. 2. For each timeframe, read the panel’s **IC / PCS / CCS scores** and regime. 3. Decide: * Final regime (IC vs PCS vs CCS) * Combined score (e.g. `AlignScore = min(Score_4H, Score_1D)`) 4. Map that combined score to **your own lot-size buckets** and trade rules. 5. During the life of the position, use **DEFEND / HARVEST / REGIME** alerts to adjust. The script does **not** auto-calculate lot size or P&L. It focuses on giving a structured, consistent **market regime + strength + levels + management** layer for weekly option selling. --- ## Disclaimer This is a discretionary **decision-support tool**, not a guarantee of profit or a replacement for risk management. No performance is implied or promised. Always size positions and manage risk according to your own capital, rules, and regulations.
Chỉ báo Pine Script®
của distinctSeahor20287
IBIT premium（vs NAV）This Pine Script calculates and plots the real-time trading premium or discount of the IBIT ETF relative to its official Net Asset Value (NAV). It shows whether IBIT is trading above NAV (premium) or below NAV (discount) in percentage terms. This version is accurate because it uses TradingView’s built-in ETF NAV financial data, rather than estimating BTC per share. ⸻ Key Data Sources Used • Market Price: The script pulls the live IBIT market price from NASDAQ:IBIT. • Official NAV: It retrieves the daily Net Asset Value (NAV) using TradingView’s financial data function and expands it across all intraday timeframes so it can be compared with real-time prices. • Platform used: TradingView ⸻ How the Premium Is Calculated The script uses the standard ETF premium formula: \text{Premium (\%)} = \frac{\text{Market Price} - \text{NAV}}{\text{NAV}} \times 100 • Positive value → IBIT is trading at a premium • Negative value → IBIT is trading at a discount • Zero → IBIT is trading exactly at NAV ⸻ What the Chart Displays • A real-time premium (%) line in a separate indicator panel • A 0% reference line showing fair value • ±1% and ±2% guide lines for abnormal deviation detection • A live value label on the latest bar showing the exact current premium ⸻ Why This Script Is Accurate • Uses official ETF NAV, not a BTC-per-share estimate • NAV updates once per day, exactly as reported by the issuer • Works on all timeframes (1-minute to daily) • Shows true market mispricing, not synthetic BTC tracking error ⸻ How Traders Typically Use It • Detect temporary dislocations between IBIT price and NAV • Monitor liquidity stress during high volatility • Validate whether IBIT is trading efficiently versus BTC • Support ETF–BTC–Futures arbitrage analysis ⸻ Important Limitation • NAV is only updated once per trading day • During fast BTC moves, the premium may widen temporarily and normalize later via authorized participant (AP) arbitrage
Chỉ báo Pine Script®
của luzehuayali
US Market Breadth Rhythm OscillatorThis tool is a market-breadth oscillator built on the core concepts of Fosback’s Relative Breadth , enhanced with proprietary calculations, cyclic smoothing, and adaptive rhythm-based bands. Instead of reacting to price, the oscillator measures the internal “calmness” or “loudness” of the U.S. stock market by analyzing the relative imbalance between advancing and declining issues. High oscillator readings indicate a calm, quiet internal market—a state where daily breadth fluctuations are small and orderly. These calm conditions frequently appear near market tops. Low oscillator readings reflect a loud, volatile internal market—a period with strong breadth imbalances in either direction. Such “noisy” conditions are typically associated with market lows. Usage and interpretation The oscillator also features dynamic cyclic bands that breathe with market rhythm. These shifting upper and lower bands help highlight potential turning points: A drop down through the upper band may suggest a developing market top. A rise up through the lower band may signal a positive shift in market dynamics that often precedes an upswing. Overall, this tool helps visually identify calm/top conditions, loud/bottom conditions, and possible shifts in market trend by combining enhanced Fosback breadth analysis with adaptive cyclic calculations. It can be used to visualize potential market extremes and market exhaustions on US main indices. So pick a main US stock market index as price chart and add the market breadth rhythm based on the selected market internals. However, it is not meant as swing trading system on its own. It is an oscillator which allows to identify extreme market internals which are often in alignment with major changes in trend of the price index. Examples: The top key image shows the indicator on a 2h Dow Jones Index price chart during the upswing phase from April to December 2025. The following image showcases the indicator for a longer period from 2022 to 2025 on a daily chart of the Dow Jones Index: Parameter: Select the market breadth sources that should be used for the calculation. You can choose between the following breadth sources: Dow Jones Nasdaq New York Stock Exchange Composite The Composite selection will create all 3 series and create a merged composite US Breadth Rhythm indicator as result. The arrows on the price chart visualize directly on the price chart when the indicator crosses below or above the dynamic bands. Recommended usage: Open an Dow Jones, Nasdaq, Russel 2000 or New York Stock Exchange Index. Use 1 Day, 4h or 2h timeframe. Add the indicator and choose the market breadth for oscillator readings. Note: This oscillator is calculated entirely from market breadth metrics, not from the chart’s price. You can select NASDAQ, Dow Jones, or NYSE breadth (advancers/decliners) as the internal data source.
Chỉ báo Pine Script®Tập lệnh trả phí
của StockMarketCycles
1
ETH INFINITY TREND [1H]: The Institutional Anti-Crash AlgorithmSTOP TRADING AGAINST THE TREND. AUTOMATE YOUR SUCCESS. Are you tired of strategies that make big gains one month and give it all back the next? Are you looking for an algorithm capable of beating the market while strictly protecting your capital during Crashes? Discover ETH Infinity Trend , the H1 Swing Trading strategy designed for consistency, safety, and long-term performance. This is not a nervous scalping bot eaten alive by fees. It is an intelligent Trend Following system, calibrated to capture major Ethereum directional moves while staying liquid (Cash) when the market becomes dangerous. 🏆 WHY IS THIS STRATEGY UNIQUE? ✅ "Bulletproof" History (2017-2025) Unlike the market, which suffered massive losses in 2018 (-80%) and 2022 (-65%), this algorithm successfully protected capital during EVERY major bearish phase. ✅ Bull Run Outperformance The algorithm doesn't just follow; it accelerates gains during parabolic phases (like 2021 and 2025) by staying in position as long as the bullish structure remains intact. ✅ Zero Stress / Zero Overtrading The strategy is patient. It filters out market "noise" to take only high-probability moves. No more stress from holding open positions during crashes. ⚙️ THE "SMART TREND" ENGINE (Proprietary Logic) This script uses a combination of 3 algorithmic engines to secure your entries. Exact settings are protected to ensure a competitive advantage for members: Adaptive Trend Engine: Detects flow direction with a wide safety factor to avoid "scam wicks" and stop hunts typical of crypto exchanges. Institutional Long-Term Filter: We only trade in the direction of big investment funds. If the Macro trend is bearish, the algorithm forces a Cash (USDT) position to preserve capital. Dynamic Momentum Filter: The algorithm stays inactive during flat markets (Ranging) to avoid grinding down capital with fees. It only enters if the movement has genuine impulsive strength. 📊 CERTIFIED PERFORMANCE (Historical Backtests) The numbers speak for themselves. Here is how the strategy behaves under extreme market conditions: 🟢 Current Profitability (2025 YTD): +91% While the classic market (Buy & Hold) shows about +55%, the algorithm massively outperforms by avoiding intermediate corrections. 🛡️ Crash Resistance (2018 Bear Market): +29% This is the most important statistic. In 2018, Ethereum lost -82% of its value. Most traders were wiped out. This strategy not only protected capital but finished the year in profit. 💎 Zero Negative Years (2017-2025) Over a complete 8-year history, including two major market cycles, the strategy has never closed a year with a loss. 📉 RISK MANAGEMENT Profit Factor: > 2.0 (For every $1 lost, the strategy earns more than $2). Controlled Drawdown: The strategy cuts losing positions quickly using a dynamic Trailing Stop, keeping equity drawdown far below that of the market. Fees Included: All results include transaction fees (Taker) and slippage estimates. 🤖 READY FOR AUTOMATION This script is turnkey ready to be connected to bots via Webhooks (3Commas, Alertatron, or Custom Python Bot on Vultr/AWS). No Repainting: Signals are fixed at candle close. What you see is what executes. Clear Signals: Buy (Long) and Exit alerts are fully configurable. Zero Leverage Needed: The strategy is designed to be profitable on Spot or 1x Futures. 🔒 ACCESS & INVITATION This script is available via Invite Only to guarantee exclusivity and preserve signal quality. 👉 HOW TO GET ACCESS? Send me a private message here on TradingView to inquire about access conditions. Disclaimer: Past performance is not indicative of future results. Cryptocurrency trading involves risk. Only invest what you can afford to lose.
Chiến lược Pine Script®
của LeDoc59
2
Regime Detection Engine v2Executive Summary : A proprietary market regime classification system combining three complementary quantitative methodologies to accurately identify bullish, bearish, consolidation, and transition phases. Tripartite Architecture : Advanced statistical modeling simulating the inference of hidden states through the observation of market manifestations. It integrates emission probabilities, transition matrices, and Bayesian persistence logic. Probabilistic Engine : A statistical model inferring the hidden state of the market via three observable dimensions:t Normalized Returns Structural Volatility Volume Patterns Multi-Factor : Intelligent aggregation of seven technical dimensions into a robust consensus score, each providing a unique perspective on current market behavior. Classification of 5 Regimes : BULLISH, TRANSITION, CONSOLIDATION, TRANSITION, BEARISH Confidence Score : Each identified regime is accompanied by a confidence score (0-100%) measuring the consensus among the three drivers, allowing for exposure adjustments. More details and user guide : cryptos-linking.github.io
Chỉ báo Pine Script®
của Teslaurele
Volume Profile S/R + OB/OS + BreaksAs a support resistance trader I have created this indicator that shows SR lines. RSI over bought and over sold. I also added momentum candle. It's easy to use. The arrows show over bought and over sold, that's where I start to be interested. Confirmation is if we are near a support/resistance area. shown as a red/green line. Don't just trade the RSI, Be patient and only take the perfekt setups. I't clean, it's simple it works.
Chỉ báo Pine Script®
của Thecantillonreport