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SPX Professional - EMA + RSI + Blue Targets## **1. Indicator Description: SPX Professional** The **"SPX Professional"** is a sophisticated technical analysis tool designed primarily for the **S&P 500 (SPX)**. It combines three critical market pillars: **Trend Identification**, **Momentum Filtering**, and **Volatility-based Price Targets**. ### **Key Features** * **Smart Bar Coloring:** Candles dynamically change color to provide instant visual bias: * **Green:** Strong Bullish Momentum (Price > EMAs and RSI > 50). * **Red:** Strong Bearish Momentum (Price < EMAs and RSI < 50). * **Gray:** Neutral or Consolidating Market. * **Blue Fibonacci Targets:** Using Daily Pivot logic, the indicator automatically plots three blue upside targets and two downside support levels based on Fibonacci ratios (0.382, 0.618, and 1.000). * **CALL/PUT Signals:** Automated entry shapes appear when the 9 EMA crosses the 21 EMA, filtered by the RSI to prevent entering trades during extreme overbought or oversold conditions. --- ## **2. How to Use** 1. **Identify the Bias:** Observe the candle colors. Trade in the direction of the color (Buy when Green, Sell when Red). 2. **Entry Execution:** * **CALL Signal:** Look for the green triangle when the blue EMA crosses above the orange EMA. * **PUT Signal:** Look for the red triangle when the blue EMA crosses below the orange EMA. 3. **Take Profit (Targets):** Use the blue dashed lines as your primary exit zones. **Target 1** is for conservative traders, while **Target 2 and 3** are for trend followers. 4. **Stop Loss:** A common practice is to place your stop loss behind the **Orange EMA (21)** or the most recent swing high/low. --- ## **3. Important Disclaimer** > ** :** This indicator is designed as a **Trading Assistant only**. It is not a financial advisor, nor does it provide guaranteed buy/sell recommendations. Financial markets involve significant risk, and no technical tool can guarantee 100% accuracy. Users are solely responsible for their capital and should always combine this indicator with other forms of analysis, such as Support/Resistance levels and economic news.
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Tarekzoom의
BTC Halving VWAP [Cycle Analysis]█ OVERVIEW This indicator plots Anchored Volume Weighted Average Prices (VWAPs) from each Bitcoin halving date, revealing the "fair value" of each market cycle. The key insight: When price closes below the current cycle's VWAP on the monthly chart (after 1+ year into the cycle), it historically signals the end of the bull market and continuation toward the previous halving's VWAP. █ HALVING DATES • H1: November 28, 2012 (Block 210,000) • H2: July 9, 2016 (Block 420,000) • H3: May 11, 2020 (Block 630,000) • H4: April 19, 2024 (Block 840,000) █ FEATURES ◽ Anchored VWAPs — VWAP lines calculated from each halving date ◽ Consolidation Bands — Adjustable percentage bands around each VWAP (default ±15%) ◽ Cycle Top Detection — Tracks the highest high before VWAP breakdown ◽ Breakdown Signals — Visual markers when price breaks below cycle VWAP (bearish confirmation) ◽ Interactive Dashboard — Shows cycle progress, VWAP levels, and historical comparison ◽ Alerts — Configurable alerts for VWAP crossovers and breakdowns █ HOW TO USE 1. Apply to BTCUSD on the Monthly timeframe for best results 2. Watch the H4 VWAP (gold line) — this is the current cycle's fair value 3. When price is ABOVE the VWAP → Bullish bias 4. When price is BELOW the VWAP → Bearish bias, expect move to previous cycle VWAP 5. The ▼ signal marks confirmed cycle tops (VWAP breakdown after 1+ year) █ DASHBOARD GUIDE • Price — Current price and gain from halving • Day — Days since halving and cycle progress % • VWAP Levels — Current VWAP values with status (ABOVE/BELOW/CONSOL) • Cycle Tops — Historical days to cycle top for H2 and H3 • Next Halving — Estimated date and countdown █ SETTINGS Display: • Toggle dashboard, consolidation bands, vertical lines, cycle tops, breakdown signals VWAPs: • Show/hide individual halving VWAPs (H1-H4) Settings: • Dashboard text size • Consolidation band percentage • Cycle top label size █ ALERTS • VWAP Breakdown — Price breaks below any halving VWAP • VWAP Reclaim — Price reclaims a halving VWAP • Consolidation Zone — Price enters consolidation around VWAP █ NOTES • Best used on Monthly (1M) timeframe for cycle analysis • Weekly timeframe also works for more granular view • H1 VWAP disabled by default (requires data from 2012) • Cycle top locks when price closes below VWAP after 365+ days into the cycle
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PlainView의
Smart S/R Levels [Stansbooth] Introducing the Ultimate Support & Resistance Indicator for Live Market Analysis! Unlock the power of real-time market insights with our cutting-edge Support & Resistance Indicator! Designed for traders who demand precision and clarity, this tool automatically plots key support and resistance levels on your chart, ensuring you never miss crucial price action points. 🚀 Key Features: Real-Time Tracking: Accurately identifies and updates support & resistance levels as market conditions evolve. Easy-to-Use: Simple integration into your TradingView charts with no complicated setup. Customizable Alerts : Get notified when the price approaches key levels for actionable trading opportunities. Accurate & Reliable : Built using advanced algorithms for pinpoint precision in real-time market conditions. Time-Saving: Automatically draws support and resistance lines, so you can focus on strategy and execution. Whether you’re a day trader, swing trader, or a long-term investor, this indicator is designed to give you the edge by highlighting the most important levels for price reversals and breakouts. Start trading smarter today with the Support & Resistance Indicator —your ultimate market companion!
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stans_booth의
Liquidity Lines (Pivots)📌 Indicator Description MTF Liquidity Levels (Pivots) — Wick / Close Sweeps is a multi-timeframe liquidity indicator designed to help traders identify and track buy-side and sell-side liquidity based on pivot highs and lows. The indicator automatically detects liquidity levels on selected higher or lower timeframes and projects them forward on your chart as horizontal levels. These levels often act as price magnets, targets, or areas of potential reversals, especially in institutional-style trading approaches. 🔍 How It Works Liquidity levels are derived from confirmed pivot highs and pivot lows. Each level is drawn from the candle wick where liquidity is formed. Levels can be displayed from multiple timeframes simultaneously (MTF). When price sweeps a liquidity level, the indicator can: Terminate the line and apply a swept style, or Remove the level entirely. Sweep detection can be based on: Wicks (high/low crossing the level), or Closes (close price crossing the level). ⚙️ Key Features ✅ Multi-timeframe liquidity detection (1m → Weekly) ✅ Buy-side (highs) and sell-side (lows) liquidity levels ✅ Wick-based or close-based sweep detection ✅ Configurable behavior after a sweep (terminate or delete) ✅ Separate styling for active vs swept levels ✅ Line style selection (solid / dashed / dotted) ✅ Maximum levels per timeframe to avoid chart clutter ✅ Optimized and safe execution (no repainting of confirmed pivots) 📈 Typical Use Cases Identifying liquidity pools above highs or below lows Targeting price runs into liquidity Anticipating stop hunts and reversals Combining with market structure, FVGs, or session highs/lows Refining entries and exits using higher-timeframe liquidity ⚠️ Important Notes Pivot-based liquidity levels are confirmed only after the pivot is formed (non-repainting). Liquidity sweeps are detected in real time once price interacts with the level. This indicator is a tool, not a trading strategy — always combine it with proper risk management. 📬 Contact & Support If you have questions, suggestions, or feature requests, feel free to reach out: Email: jakub.doskar@gmail.com LinkedIn: www.linkedin.com
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jakub_doskar의
Cosmic Emergence v1.3: Ontological Liquid (Hybrid)Overview In the vast expanse of market chaos, where prices flicker like quantum particles in superposition, the Ontological Liquid emerges as a beacon of cosmic clarity. This indicator is not merely a tool—it's a philosophical lens, fusing quantum uncertainty, gravitational selection, and ontological probability into a dynamic "liquid" cloud that projects the market's existential state into the future. Inspired by Heisenberg's uncertainty principle and general relativity, the Ontological Liquid models price as a conscious entity navigating through probabilistic fields. It reveals the market's "being" (Psi_U consciousness score) and gravitational pull (g_m vector), rendering a flowing, adaptive cloud that evolves with each bar—never breaking, always expanding into the unknown. Key Features Psi_U Consciousness Field: A weighted fusion of momentum (CCI), compression potential (Bollinger width inverse), and capital flow (CMF), normalized dynamically to the asset's history. Scores the market's "clarity" from Superposition (chaotic uncertainty) to Crystallized (defined trend). Gravitational Vector (g_m): Log-damped gravity calculation incorporating mass density (volume/range), spacetime curvature (VWAP deviation), and volatility correlation. Dictates the cloud's directional drift—positive for emergent ascent, negative for entropic descent. Liquid Projection Geometry: A seamless, unbreakable cloud using LineFill Technology. It features a dense "Core" (high probability) and an "Atmosphere" (outer bounds at Golden Ratio 1.618). The cloud expands conically into the future, with sinusoidal wave offsets tied to Psi_U—high uncertainty amplifies waves, crystallizing clarity smooths them. Adaptive Visualization: Gradient colors shift with g_m intensity—Teal to Emerald for bullish emergence, Crimson to Maroon for bearish collapse. Past trails in subtle gray maintain ontological continuity. Intellectual Panel: Real-time existential readout: Gravity (g_m) and Entity State (Crystallized / Fluid / Superposition), color-coded for intuitive grasp. Philosophical Foundation Markets are not random noise but emergent realities shaped by collective consciousness. The Ontological Liquid visualizes this as a probabilistic fluid: Superposition (Psi_U < 30): Wide, wavy cloud. The market is in pure potential, birthing new realities. Wait. Fluid (30-80): Adaptive flow. Uncertainty resolves, trends begin to form. Prepare. Crystallized (80+): Narrow, directed cloud. The market's being is solidified, momentum is crystallized. Act. This is beyond technical analysis; it's an ontological probe into the market's essence, where gravity selects possibilities from infinite chaos. How to Trade (Ontological Strategy) This indicator does not give simple signals; it reveals the environment. Bullish Emergence: Cloud Color: Shifts to Teal/Green. State: Panel shows "Fluid" or "Crystallized". Action: Look for Long entries when price is supported by the Core (Inner Cloud). Bearish Collapse: Cloud Color: Shifts to Red/Maroon. State: Panel shows "Fluid" or "Crystallized". Action: Look for Short entries when price is rejected by the Core. The Void (Do Not Trade): State: "Superposition". Visual: The cloud is wide, wavy, and directionless. Meaning: No ontological reality has formed yet. Trading here is gambling against chaos. Disclaimer: This tool is for educational and analytical purposes only. It is not financial advice. © MuratKavak | Idea Architect
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muratkavak02의
1
SMA vs Candle True CloudSMA vs Candle – Trend Cloud Indicator (Brief Note) This indicator compares price (candle source) with a long-period Hull Moving Average (SMA) to identify trend direction, momentum shifts, and regime changes. The SMA, being momentum-sensitive, reacts to changes in price speed, while price itself represents real-time market action. A dynamic two-way cloud is drawn between price and SMA: Green cloud when price is above SMA → bullish dominance and accumulation Red cloud when price is below SMA → bearish control and distribution The width of the cloud reflects the strength of momentum: Narrow cloud → compression / consolidation Expanding cloud → impulse move or trend acceleration This setup is especially effective on short timeframes with long SMA periods, where it filters noise while preserving early trend signals. Overall, the indicator acts as a visual trend-momentum framework, highlighting early warnings, trend confirmation, and exhaustion zones in a single view.
Pine Script® 인디케이터
akghuf19ag24의
1
Trend Warning / Direction (EMA20/50)This indicator visualizes trend changes and consolidation phases using the 20 EMA and 50 EMA. 🔹 Trend Signals • Green triangle (▲): EMA 20 crosses above EMA 50 → bullish trend signal • Red triangle (▼): EMA 20 crosses below EMA 50 → bearish trend signal • Crosses are confirmed on candle close to avoid false signals. 🔹 EMA Distance Warning The indicator highlights low-momentum / squeeze zones when the distance between EMA 20 and EMA 50 falls below a configurable threshold. • Yellow triangle with number: Displays the current EMA distance in percent (without the % symbol). • The warning threshold can be configured individually for each timeframe: • 1m, 5m, 15m, 30m • 1h, 4h, 8h • 1D, 1W • The active chart timeframe automatically determines which threshold is applied. 🔹 Customization • Enable or disable EMA distance warnings via settings • Adjust distance thresholds per timeframe • Option to limit warning labels to one per bar • Works on all markets and timeframes 🔹 Use Cases • Trend identification • Momentum exhaustion and consolidation detection • Early warning before potential breakouts • Trade confirmation in combination with other indicators This indicator is non-repainting, lightweight, and designed for clean, actionable chart signals.
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Aethem의
MACD CFF EditionMACD (19 / 39) – Higher Timeframe Momentum This indicator is a modified MACD version designed specifically for higher timeframes and structural market moves. Compared to the standard MACD (12 / 26), the periods are intentionally extended to reduce short-term noise and focus on meaningful momentum and trend shifts. The classic MACD (12 / 26) reacts very quickly and often produces many signals on lower and mid timeframes that mainly reflect micro-volatility. Using 19 / 39 deliberately slows the indicator down and filters out movements that lack relevance for higher-timeframe market structure. Line Explanation White Line – MACD Line (19–39) This line measures the distance between short-term and mid-term momentum. It highlights structural changes in capital flow. Above zero → bullish structural momentum Below zero → bearish structural momentum Green Line – Signal Line A smoothed version of the MACD line. Used for confirmation, not for fast entry signals. Crossovers should be interpreted as context confirmation, not buy or sell commands. Histogram Displays the distance between the MACD line and the signal line. Helps identify whether momentum is: expanding or weakening Intended Use • Best suited for 4H, Daily and Weekly • Trend and directional bias filter • Structural confirmation • Works best combined with price action and key levels Not a scalping tool. Not a standalone signal indicator.
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michlRico의
20-50 EMA Bear / Bull TrendThis indicator identifies uptrends and downtrends based on confirmed EMA crossovers between the 20 EMA and 50 EMA, using candle close confirmation only to avoid false intrabar signals. • Green up arrow (↑): EMA 20 crosses above EMA 50 → bullish signal / start of an uptrend • Red down arrow (↓): EMA 20 crosses below EMA 50 → bearish signal / start of a downtrend The signals are plotted directly on the chart and can be used to create separate TradingView alerts for bullish and bearish crosses. Key features: • Visual identification of uptrends and downtrends • EMA 20 & EMA 50 plotted on the chart • Signals confirmed on candle close (non-repainting) • Clear arrow-based signals instead of text labels • Selectable alert conditions for bullish and bearish crosses • Optional support for “Any alert() function call” This indicator works on all timeframes and is suitable for trend detection, momentum shifts, and trade confirmation.
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Aethem의
Anti-Climax and DecelerationThis indicator detects high-probability 3-bar price sequences to highlight potential market turning points, continuations, and expansions. It identifies four types of triangle patterns based on the relationship between three consecutive bars: 1. Break Triangles Signal potential reversals after a short sequence. Example: Bear → Bear → Bull or Bull → Bull → Bear. Plotted as Green (UP) / Red (DOWN) triangles. 2. Compression Triangles Detect inside / absorption setups where price is consolidating before a possible directional move. Example: Bars staying within Bar 1’s high/low range. Plotted as Orange dots. 3. Expansion Triangles Identify strong continuation moves, where each bar breaks the high/low of the previous bar in the same direction. Plotted as Purple dots. Features: Non-repainting, bar-close confirmed signals. Works on any timeframe. Easy visual cues for Break, Compression, and Expansion patterns. Designed to integrate with SMC concepts, FVG, or Swing Point analysis. How to Use: Look for triangle or dot signals at key support/resistance or supply/demand zones. Combine with trend direction or higher timeframe bias for higher-probability trades. Use Break signals for reversal setups, Compression signals for absorption or liquidity hunts, and Expansion signals for strong trend continuation.
Pine Script® 인디케이터
ling7777의
ZenAlgo - Coin XA multi input Z Score framework that compares the behavior of a selected symbol against several market wide aggregates: total crypto market metrics, alternative asset baskets, stablecoin dominance, Bitcoin, and risk composites. The script processes each data stream into comparable normalized values, evaluates their relationships, and derives a set of bias states, alerts, and real time conditions. Data Preparation and Normalization The indicator starts by gathering multiple reference series: The chart ticker. A basket representing non Bitcoin crypto assets. Bitcoin market data. Several total market variations (full, without Bitcoin, and additional categories). A stablecoin dominance series. A macro risk composite. A daily anchored average used for context. Each series is transformed into a normalized value using a lookback window. This produces multiple comparable Z Scores that reflect how far each series currently sits from its typical range. Smoothing is optionally applied to macro based values to reduce noise. These normalized values allow consistent comparisons across unrelated instruments. This works because Z Score based normalization removes scale differences and makes directional deviations directly comparable across many independent metrics, which is necessary when the script later evaluates their relationships. Cross and Momentum Detection The script then evaluates structural interactions between the normalized series: Whether one group rises above or falls below another. Whether any of the series crosses over or under another. Whether each series is currently advancing or declining. Whether price is above or below the daily anchored average. Whether stablecoin dominance is rising or falling. Whether a sharp directional change occurs within a single bar. Whether a multi threshold movement happens within a defined number of bars. These checks capture relative strength shifts across the market. For example, an increase in the ticker combined with a decline in dominance suggests capital rotation toward the ticker, while the opposite suggests defensive flows. Using normalized changes allows these comparisons to be scale independent. Combined Bias Logic The indicator then evaluates a hierarchy of conditions that combine normalized relationships, momentum, and sharp movement checks. Each condition corresponds to a specific market state. The script tests the conditions in a defined order because later conditions depend on earlier structural checks. Examples of combined evaluations include: Cases where the ticker and alternative asset basket rise together while dominance declines. Cases where both the ticker and alternatives fall together under a rising dominance series. Conditions where several aggregates cross above or below dominance simultaneously. Cases where multiple aggregates show coordinated sharp rises or sharp declines. Situations where stablecoin dominance rises during weakness of other groups. Situations where stablecoins fall while the ticker strengthens. Conditions where the ticker rapidly moves through several thresholds in a short period. The script assigns a bias label that corresponds to the earliest satisfied condition. This design ensures that highly distinctive and rare states take priority over broader or more common states. The reasoning behind this is that specific coordinated market moves provide clearer view than general divergence or simple momentum alone. Crash and Pump Amplification The script includes a section that detects extreme scenarios by combining several coordinated factors: Very negative or very positive normalized values across multiple aggregates. Sharp bar by bar declines or rises across key series. Simultaneous movement in the risk composite and dominance. These checks amplify certain bias states when market conditions show synchronized extreme movement. This provides additional clarity when multiple parts of the market behave in the same direction beyond typical deviation. The logic relies only on the relationships of the normalized values and their changes. Fast Movement Detection Two additional mechanisms evaluate movements over a short multi bar window. A fast ticker move is detected when the current normalized ticker value differs from one several bars ago by multiple threshold increments. A fast stablecoin rise or fall is detected using a step based method. The script checks for progression through sequential levels across the window while verifying whether the ticker moves in agreement or disagreement with the direction. These mechanisms are intended to identify sudden acceleration or deceleration that standard normalized changes may not fully capture. Season Scale The script calculates a quantitative scale from minus 100 to plus 100 by evaluating several binary conditions: Whether the ticker is above or below the alternative basket. Whether the alternative basket is above or below dominance. Whether the ticker and alternative basket are rising or falling. Whether dominance is rising or falling. Optionally whether price is above or below the anchored average. Each condition contributes positively or negatively. The weighted combination produces the season value which is rounded. The naming of the state (Full Bull, Neutral, Full Bear etc.) is derived from where the score falls on the range. This works because combining several directional tests across related groups provides a compressed singular measure of market structure. Divergence Detection The script includes divergence logic for Bitcoin, the alternative asset basket, and the chart ticker. It evaluates pivot highs and lows in price and compares them with pivot highs and lows in their respective normalized values. The script checks for pairs of pivot points where price moves in one direction while the normalized oscillator moves in the opposite. Both regular and hidden forms are evaluated. This works because divergences highlight points where price and its normalized deviation disagree which often marks a structural imbalance. Table Output If enabled, the indicator displays a table showing the current normalized values of all monitored series along with color backgrounds reflecting structural relationships identified earlier. This supports interpretation without opening additional charts. Visual Lines and Background The script draws horizontal reference lines for several normalized levels using a fading mechanism if ghost mode is enabled. The background color changes according to the main season logic and intensifies with market wide deviations. Optional pulse effects are triggered when the bias state changes. This works because visual context helps understand how extreme the current market state is relative to its typical historical range. Alerts The indicator creates alerts for all important structural states: Bias state changes. Fast ticker moves. Fast stablecoin rises or falls. Divergence based triggers. Cross conditions corresponding to notable structural transitions. These alerts correspond exactly to the logical conditions already described. Added Value Compared to Free Alternatives It evaluates many separate market wide aggregates simultaneously rather than relying on a single comparison. It uses a consistent normalized framework so unrelated metrics become comparable. It identifies multi series coordinated shifts which many simpler indicators cannot detect. It provides a full deterministic bias state hierarchy that removes interpretation ambiguity. It includes fast movement evaluation through multi level and multi bar logic. It combines multiple categories of divergences with normalized values rather than only price based oscillators. It provides a unified season value derived from several independent binary conditions. Limitations and Situations Where It May Fall Short Normalized values depend on the chosen lookback window and may behave differently under unusual volatility regimes. If reference data feeds are incomplete or delayed the relationships may briefly reflect distorted values. Extreme single bar events can cause temporary exaggeration of normalized values before stabilization. Divergence detection depends on identifying pivots which may repaint until the pivot is confirmed. Bias states rely on hierarchical evaluation so rare but extreme conditions will override more common states by design. Sudden changes in stablecoin supply or methodology on the data source may influence stable dominance readings. How to Interpret the Values Positive normalized values indicate movement above the typical range while negative values indicate movement below the typical range. The relationships between the ticker, the alternative asset basket, dominance, and the risk composite define the structural meaning of each bias. The season value near plus 100 means most bull related conditions are simultaneously satisfied while near minus 100 means most bear related conditions are satisfied. Sharp rise or fall conditions indicate abrupt movement beyond the usual deviation. Cross conditions indicate structural transitions such as the ticker moving above or below another aggregate. Divergences indicate inconsistency between price action and normalized deviation. Best Practices for Practical Use Use the bias state as a structural context rather than a direct entry or exit trigger. Observe whether multiple aggregates align in the same direction since the script is designed around confirming coordinated behavior. Combine the season value with the main bias state to evaluate whether short term view agree with broader conditions. Use fast movement alerts for monitoring sudden volatility or intraday acceleration. Use divergence conditions to identify potential exhaustion points when the main bias does not align with price behavior. Reference the table and background colors for a quick visual overview of how several groups relate in the current moment.
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ZenAlgo_Official의
Trading Monster - XAUUSD Trend ValidatorTrading Monster – XAUUSD Trend Validator is an invite-only confluence and market condition filter designed for intraday analysis of XAUUSD on the 15-minute timeframe. This indicator does not generate trade entries by itself. Instead, it validates trade setups by analyzing trend alignment and market conditions, helping traders decide when to participate and when to stay out. The Trend Validator is intended to be used alongside a primary signal or trend-following system to improve discipline and avoid unfavorable market phases. How to Use • Recommended symbol: XAUUSD • Recommended timeframe: 15 minutes • Use this indicator as a confirmation layer, not as a standalone signal • If market conditions are unfavorable, traders are advised to wait or avoid entries Important Notes • This script is for educational and analytical purposes only • It does not execute trades or provide financial advice • All trading involves risk; users must apply proper risk management • Past performance does not guarantee future results
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Trade_Monster_Pro의
Stochastic X-Score Signal📊 Stochastic X-Score Signal This indicator is designed to analyze market momentum, direction, and strength in a single tool. It combines Z-Score, Stochastic, Trend Filter, ADX/DI, and Volume to filter out high-quality trading signals. 🎯 Key Highlights Measures price deviation using Z-Score Converts data into Stochastic (0–100) to identify Overbought / Oversold Uses HMA + ALMA to separate short-term momentum from long-term trend Offers 4 signal sources, adjustable to different trading styles Includes a Trend Filter to distinguish with-trend vs against-trend signals Confirms real market strength with ADX/DI and Volume Gauge ⚙️ Signal System 🔺 BUY / 🔻 SELL from Reversal, Z-Score, ALMA, or MA Cross With-trend signals = darker colors (stronger confirmation) Against-trend signals = lighter colors (higher risk) 📊 Signal Quality Confirmation ADX > 25 = strong trend DI+ / DI- defines trend direction Volume Candles clearly show buy vs sell pressure 🎨 Visualization On-chart signals (Triangles + Bar Colors) Indicator panel: Z-Score Histogram, Oscillator, ALMA, OB/OS zones Gauge table for instant trend strength reading 🔔 Alerts Included Bullish / Bearish (with-trend & against-trend) MA Golden / Death Cross Strong / Weak Trend alerts High Buy / Sell Volume alerts 💡 Best For Trend & Pullback traders Traders who prefer one powerful indicator instead of many Those who need signals with full market context ⚠️ This indicator is a market analysis tool and does not guarantee profits. Always apply proper risk management when trading. 💬 Interested in our Indicator? Feel free to contact us via INBOX 📱 Facebook Page: Overdue Logic Indicator www.facebook.com
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overduelogicindicator의
NQ vs ES-RTY-YM DivergenceNQ vs ES-RTY-YM Divergence Indicator: Complete Guide What This Indicator Does This indicator measures the relative performance of Nasdaq futures (NQ) compared to a composite average of other major US index futures (ES/S&P 500, RTY/Russell 2000, and YM/Dow Jones). It normalizes price data to create a clear comparison between tech-heavy Nasdaq and the broader market, helping identify sector rotation, relative strength, and potential trading opportunities. How It Works The indicator performs these calculations: Data Collection: Retrieves closing prices for NQ, ES, RTY, and YM futures Composite Creation: Averages ES, RTY, and YM to create a "broader market" composite Normalization: Applies min-max scaling to both NQ and the composite over a lookback period (default: 20 bars) This transforms values to a range between 0 and 1 Formula: normalized_value = (current_price - lowest_low) / (highest_high - lowest_low) Divergence Calculation: Subtracts the normalized composite from normalized NQ Formula: divergence = nq_normalized - composite_normalized Result ranges from -1.0 (extreme NQ underperformance) to +1.0 (extreme NQ outperformance) Visual Elements The indicator displays: Blue line: Normalized NQ performance (0-1 range) Orange line: Normalized composite performance (0-1 range) Histogram: Green bars: Positive divergence (NQ outperforming composite) Red bars: Negative divergence (NQ underperforming composite) Zero line: Neutral reference point Overbought/oversold lines: Customizable thresholds (default ±0.1) Information table: Current divergence value (only in non-MTF version) Interpreting the Indicator Divergence Value s Positive values (0 to +1): NQ outperforming the composite The higher the value, the stronger the relative outperformance Negative values (0 to -1): NQ underperforming the composite The lower the value, the stronger the relative underperformance Zero: Equal normalized performance between NQ and composite Significant Levels Crossing above bullish threshold (default +0.1): Significant tech sector strength Crossing below bearish threshold (default -0.1): Significant tech sector weakness Extreme readings (near ±0.3 or beyond): Potentially overextended moves that might reverse Practical Applications Market Analysis Sector rotation identification: Detect shifts between tech and other sectors Market regime analysis: Tech leadership often indicates risk-on conditions Divergence warnings: When price trends differ from relative strength trends Trading Approaches Momentum trading: Enter NQ positions when divergence shows increasing strength Mean reversion: Consider counter-trend positions at extreme readings Confirmation tool: Use alongside price patterns and other indicators Relative performance trading: Guide allocation between tech and broader market exposure Customization Options The indicator offers several parameters: Normalization Window: Controls the lookback period for min-max calculations Shorter (5-10): More responsive, noisier Longer (20-50): Smoother, slower to respond Overbought/Oversold Levels: Customize based on your threshold preferences Tighter levels (±0.05): More frequent signals Wider levels (±0.2): Only the most extreme divergences Alert Thresholds: Set when you want to be notified of significant changes These determine when alert conditions trigger Display Options: Customize colors and visual elements Key Considerations The indicator normalizes data within a rolling window, so extreme readings are relative to recent history, not absolute Works best on futures markets with liquid contracts to ensure accurate relative performance measurement Most effective when used to complement price action analysis rather than in isolation The zero line represents equal normalized performance, not equal price performance (due to the normalization process) By tracking this specialized form of relative performance, the indicator provides insights into market dynamics that aren't obvious from price action alone, helping traders identify potential shifts in market leadership between technology and other sectors.
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DrodzCip의
Standard Deviation Vidya Moving Average | QuantLapseStandard Deviation Vidya MA by QuantLapse Overview The Standard Deviation Vidya MA indicator by QuantLapse is an dynamic and unique trend-following tool that leverages Variable Index Dynamic Average (VIDYA) along with a statistical measure of standard deviation to assess trend strength, direction and volatility. By utilizing adaptive smoothing and volatility adjustment this indicator provides a more responsive and robust signal framework for traders. ______ Technical Composition, Calculation, Key Components & Features 📌 VIDYA (Variable Index Dynamic Average) An adaptive moving average that automatically adjusts its sensitivity based on prevailing market volatility. Employs a volatility-weighted smoothing constant derived from standard deviation ratios, allowing the average to respond faster during high-momentum phases and slow down during consolidation. Reduces lag during trend expansion while suppressing noise in low-volatility environments. Provides clearer trend structure and regime awareness compared to fixed-length moving averages. Serves as a dynamic baseline for volatility envelopes and trend-state classification within the system. 📌 Volatility Adjustment – Standard Deviation The system constructs a volatility-adaptive envelope around the VIDYA baseline using standard deviation, allowing band width to expand and contract dynamically with changing market conditions. VIDYA’s smoothing factor is adjusted by comparing short-term and longer-term standard deviation, increasing responsiveness during volatility expansion and dampening noise during compression. Upper and lower bands are calculated by applying a configurable standard deviation multiplier to the VIDYA value, creating a proportional volatility boundary rather than a fixed offset. Price movement beyond these bands confirms volatility-supported momentum, while price contained within the bands signals consolidation or transitional phases. 📌 Trend Signal Calculation A bullish trend state is triggered when price closes above the upper standard deviation band, indicating sustained upward momentum with volatility confirmation. A bearish trend state is triggered when price closes below the lower band, confirming downside momentum under expanding volatility. Once established, the trend state persists until an opposing volatility break occurs, reducing whipsaw and improving regime stability. Trend direction is visually reinforced through dynamic color-coding of the VIDYA line and its envelope, providing immediate directional context at a glance. ______ How It Works in Trading ✅ Trend Strength Detection – Evaluates cumulative price movement over a defined window to assess directional conviction. ✅ Noise Reduction – Applies adaptive smoothing techniques to minimize whipsaws during choppy conditions. ✅ Dynamic Thresholding – Utilizes volatility-aware bands to define customizable trend continuation and invalidation levels. ✅ Color-Coded Visualization – Enhances chart readability by clearly distinguishing bullish, bearish, and neutral states. ______ Visual Representation Trend Signals on Moving Average and Background Color: 🟢 Green/Teal Moving Average – Strong Uptrend 🔴 Red/Pink Candles – Strong Downtrend ✅ Long & Short Labels can be turned on or off for trade signal clarity. 📊 Display of entry & exit points based on entry and exit criteria's. 📊 Display of Indicators equity and buy and hold equity to compare performance. ______ Features and User Inputs The Standard Deviation Vidya MA framework incorporates a flexible set of user-defined inputs designed to balance adaptability, clarity, and analytical control. VIDYA Configuration – Customize the Variable Index Dynamic Average length and price source to control trend responsiveness based on volatility-adjusted smoothing. Volatility & Deviation Controls – Adjust standard deviation lookback periods and multipliers to fine-tune adaptive upper and lower thresholds used for trend qualification. Backtesting & Date Filters – Define a start date for historical evaluation and enable range filtering to analyze performance during specific market periods. Display & Visualization Options – Toggle labels, equity curves, and visual overlays to tailor the chart presentation to personal trading preferences. Color Customization – Fully configurable buy/sell colors for both trend signals and equity curves, allowing intuitive visual differentiation between bullish and bearish phases. ______ Practical Applications The Standard Deviation VIDYA MA is designed for traders seeking an adaptive trend-following framework that dynamically responds to changing market volatility. By combining VIDYA’s volatility-sensitive smoothing with standard deviation–based thresholds, the indicator offers a robust approach to directional analysis across multiple market conditions. Key applications include: Adaptive Trend Identification – Detect sustained bullish and bearish trends using a volatility-adjusted moving average that automatically accelerates or slows based on market activity. Volatility-Aware Entry & Exit Signals – Utilize standard deviation bands to define dynamic breakout and invalidation zones, helping reduce false signals during low-volatility consolidation phases. Noise-Filtered Trend Participation – Avoid whipsaws by requiring price expansion beyond adaptive deviation thresholds before confirming trend direction. Systematic Backtesting & Evaluation – Analyze historical trend performance using built-in equity curves and date filters to assess effectiveness across different market regimes. Visual Trend Confirmation – Leverage color-coded VIDYA lines, deviation zones, and optional labels to clearly interpret trend state and momentum strength in real time. This framework bridges volatility analysis with adaptive trend logic, providing a disciplined and data-driven method for trend participation while maintaining clarity and interpretability in live trading environments. ______ Conclusion The Standard Deviation VIDYA MA by QuantLapse represents a modern evolution of adaptive trend analysis, blending volatility-weighted smoothing with statistically driven deviation thresholds. By integrating VIDYA’s responsiveness with standard deviation-based confirmation, the system delivers clearer trend structure, reduced noise, and more reliable directional context across varying market regimes. This indicator is particularly well-suited for traders who value adaptability, clarity, and rule-based decision-making over static moving average techniques. 🔹 Who should use Standard Deviation VIDYA MA: 📊 Trend-Following Traders – Identify and stay aligned with sustained directional moves while avoiding premature reversals. ⚡ Momentum Traders – Capture volatility-supported expansions when price breaks beyond adaptive deviation bands. 🤖 Systematic & Algorithmic Traders – Ideal as a volatility-aware trend filter for rule-based entries, exits, and portfolio frameworks. 🔹 Disclaimer: Past performance does not guarantee future results. All trading involves risk, and no indicator or methodology can ensure profitability. 🔹 Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your personal risk tolerance, timeframe, and market conditions before deploying the indicator in live trading.
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