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FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator 1. Concept and Rationale The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings. The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much. 2. Data Pipeline • Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes. • Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer. • User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study. 3. Math under the Hood (1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent. (2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite. (3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive. (4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers. (5) Threshold Grid – Five horizontal guides create a structured regime map:  • Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.  • Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.  • Zero Line demarcates neutral alignment. 4. Chart Furniture and User Interface • Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts. • Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation. • Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar. • Everything—line width, thresholds, colours—can be customised so the indicator blends into any template. 5. Interpretation Guide Macro Liquidity Pulse  • When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).  • Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety. Regime Transition Signals  • Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.  • Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite. Momentum Exhaustion and Mean-Reversion  • Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.  • Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold. Pair Trading / Relative Value  • Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.  • Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader. Event-Driven Tactics  • FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.  • CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common. 6. Alerts Suite Pre-bundled conditions let you automate workflows: • Bullish / Bearish zero crosses – queue spot or futures entries. • Standard OB / OS – notify for first contact with actionable zones. • Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions. 7. Parameter Playground • Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors. • Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC. • Try HMA smoothing for responsive yet smooth curves on intraday charts. • Colour-blind users can easily swap bull and bear palette selections for preferred contrasts. 8. Limitations and Best Practices • The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals. • Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily. • Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps. 9. Final Thoughts The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark. Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
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BackQuant tarafından
1
Smart MTF Bias Detector v3 (Debug)Here's a breakdown of the "Smart MTF Bias Detector v3 (Debug)" indicator's five main filters: Main Trend (Multi-Timeframe Heikin Ashi) The green/red background indicates the trend from Heikin Ashi candles on the H1 timeframe (or your set timeframe). If the Heikin Ashi candle closes above its open, the background is green (indicating an upward bias). If the Heikin Ashi candle closes below its open, the background is red (indicating a downward bias). Short-Term Trend Filter (EMA50) The yellow line represents the EMA50. Buy only when the price closes above the EMA50. Sell only when the price closes below the EMA50. Abnormal Buy/Sell Pressure Detection (Volume Spike) Purple dots signify candles where the volume is greater than the SMA (Simple Moving Average) of volume over N previous candles, multiplied by a specified multiplier. This confirms there's "force" driving the price up or serious selling pressure. Momentum Filter (Stochastic RSI) Blue upward triangles and orange downward triangles indicate when %K crosses %D. It uses Oversold/Overbought targets (20/80) to avoid crosses in the middle ranges. Pivot Break (Fractal Breakout) Red "X" marks represent Fractal Highs, and green "X" marks represent Fractal Lows. Red/green up/down arrows indicate breakouts of these levels (e.g., a previous High being broken means an upward breakout, or a previous Low being broken means a downward breakout). BUY Signal Conditions A BUY signal will be generated when: The background is green (HTF Trend ↑). The Stoch RSI crosses up from below the Oversold zone (blue arrow). A Fractal Low breakout occurs (Fract UP arrow). The price is above the EMA50. There is a Volume Spike (purple dot). SELL Signal Conditions A SELL signal will be generated when: The background is red (HTF Trend ↓). The Stoch RSI crosses down from above the Overbought zone (orange arrow). A Fractal High breakout occurs (Fract DOWN arrow). The price is below the EMA50. There is a Volume Spike (purple dot).
Pine Script® göstergesi
tai239 tarafından
1
EchoPulse – Trend Oscillator v1 [QuayLade]Harness the Pulse. Surf the Trend. EchoPulse™ is a precision-crafted Trend Oscillator designed to visualize the cyclic rhythm of market movements while keeping you contextually aligned with Higher Timeframe Influence Zones. Whether you're a scalper, swing trader, or systematic strategist, EchoPulse brings clarity to trend dynamics by filtering out noise and spotlighting pivotal trade opportunities. Core Features & Innovations: Surge Markers (Counter-Trend Oscillation Bursts): Identify statistically unsustainable counter-trend surges with high precision. These Aqua & Orange crosses mark potential exhaustion points during pullbacks, perfect for strategic pyramiding and re-entry setups. Exhaustion Markers (Trend Fatigue Signals): Spot early signs of trend fatigue with Green & Red Circles. These markers appear when the market's internal cyclic rhythm shows signs of a structural unwind, assisting in managing exits or preparing for trend reversals. Synchronized Cyclic Lines (Short, Mid, Long): Visualize the market’s multi-speed oscillations through dynamically flowing Cycle Lines that latch to extreme zones during strong trends. Their stickiness/persistence offers valuable clues into the trend’s strength or weakening momentum. Higher Timeframe Influence Zone (Contextual Alignment): A soft overlay reflecting the directional bias of the Higher Timeframe, ensuring you stay aligned with macro flows without adding visual clutter. Greenish for bullish bias, reddish for bearish, and transparent during indecisive phases. Adaptive Volatility Intelligence (Noise Suppression): EchoPulse™ dynamically adjusts its sensitivity based on current market volatility, making it effective across various instruments and timeframes — from scalping to positional trading. Ideal For: Trend Traders seeking pullback confirmation within trend continuations. Swing & Position Traders needing clear alignment with higher timeframe structures. Scalpers] who require real-time directional cues without lag. Systematic Traders looking to integrate a dynamic, responsive trend oscillator. Quick User Guide Trend Bias Confirmation: Use the HTF Influence Zone background colour to establish directional bias. Prioritize setups aligned with this macro trend. Entry Triggers with Surge Markers: Spot Surge Markers appearing against the HTF bias during pullbacks — a signal of possible exhaustion in counter-trend moves and a potential entry opportunity. Monitor Cyclic Stickiness: Persistent latching of Cycle Lines to extreme zones indicates a strong trend continuation. Unlatching and normalization could signal consolidation or a pause in trend momentum. Exhaustion Markers & Reversals: Exhaustion Markers highlight when a trend leg may be overextended. Combine them with Price Divergence or Key S/R Levels for stronger reversal signals. Best Practices: Use EchoPulse™ as a Trend Continuation and Exhaustion Timing Tool . Combine with Price Action, Divergence Analysis, and Multi-Timeframe Confluence for high-probability setups. Adjust chart timeframe based on your trading style — Intraday, Swing, or Positional. Compliance & Acknowledgement Statement: EchoPulse™ is an original indicator concept meticulously developed by QuayLade using proprietary techniques that visualize dynamic oscillations, adaptive latching behaviours, and multi-timeframe contextual alignment. While the indicator draws inspiration from universally known mathematical constructs such as Rate of Change (RoC) for assessing price momentum, its computational framework, signal derivations, and visualization structures are uniquely crafted and not direct derivatives of any standard or public domain indicators. All methodologies implemented are original intellectual property, tailored to offer traders an innovative perspective on market rhythm, trend surges, and exhaustion zones. EchoPulse™ is fully committed to be compliant with TradingView’s Vendor Agreements and House Rules regarding originality, fair usage, and responsible adaptation of foundational market analysis concepts. Script License & Usage Disclaimer: The EchoPulse™– Trend Oscillator is a proprietary invite-only script. Unauthorized distribution, reverse engineering, or decompilation of this script is strictly prohibited. This indicator is provided for informational and educational purposes only and does not constitute financial advice or a trading recommendation. Trading and investing involve substantial risks, and the creator assumes no responsibility for financial losses or damages resulting from its use. By accessing this script, users agree to use it at their own discretion and understand that the author makes no guarantees regarding its performance or suitability for any specific trading objective. Support & Assistance: For any queries, feedback, or assistance with usage: Contact @QuayLade via TradingView DM. Documentation, usage guides, and walkthroughs will be provided progressively based on user feedback.
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QuayLade tarafından
WT_CROSS Dip Buy Signal(ozkan)This script identifies potential buy opportunities based on WaveTrend (WT_CROSS) momentum crossing below the -60 level — often indicating oversold conditions. Additional filters include price being above the Kaufman Adaptive Moving Average (KAMA) and volume below the 5-period average, which helps isolate pullbacks within an uptrend. Buy Signal Conditions: WT1 < -60 Price > KAMA Volume < 5-period SMA of volume Purpose: To capture early entries at possible local bottoms during bullish trends while avoiding high-volume breakdown traps. 🔔 You can also set an alert based on this condition.
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mlsdr tarafından
VIX Filter/RSI/EMA Bias/Cum-TICK w/ Exhaustion Zone DashboardThis all-in-one dashboard gives intraday traders a real-time visual read of market conditions, combining volatility regime, trend bias, momentum exhaustion, and internal strength — all in a fully customizable overlay that won’t clutter your chart. 📉 VIX Market Regime Detector Identifies "Weak", "Normal", "Volatile", or "Danger" market states based on customizable VIX ranges and symbol (e.g., VXN or VIX). 📊 RSI Momentum Readout Displays real-time RSI from any selected timeframe or symbol, with adjustable length, OB/OS thresholds, and color-coded exhaustion alerts. 📈 EMA Trend Bias Scanner Compares fast and slow EMAs to define bullish or bearish bias, using your preferred timeframe, symbol, and EMA lengths — ideal for multi-timeframe setups. 🧠 Cumulative TICK Pressure & Exhaustion Engine Analyzes internal market strength using cumulative TICK data to classify conditions as: -Strong / Mild Bullish or Bearish Pressure -Choppy / No Edge -⚠️ Exhaustion Zones — when raw TICK values hit extreme highs/lows, a separate highlight box appears in the dashboard, warning of potential turning points All logic is customizable, including TICK symbol, timeframes, thresholds, and lookback periods. Scalpers and day traders who want fast, visual insight into market internals, exhaustion, and trend bias.
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BKNY954RR tarafından
ZigZag Based RSIDescription ZigZag Trend RSI (ZZ-RSI) is an advanced momentum indicator that combines ZigZag-based trend detection with a trend-adjusted RSI to deliver smarter overbought and oversold signals. Unlike traditional RSI that reacts purely to price movement, this indicator adapts its sensitivity based on the prevailing trend structure identified via the ZigZag pattern. By dynamically adjusting RSI thresholds according to market direction, ZZ-RSI helps filter out false signals and aligns RSI readings with broader trend context—crucial for trend-following strategies, counter-trend entries, and volatility-based timing. Core Components ZigZag Pattern Recognition: Identifies significant swing highs and lows based on price deviation (%) and pivot sensitivity (length). The most recent pivot determines the prevailing trend direction: 🟢 Bullish: last swing is a higher high 🔴 Bearish: last swing is a lower low ⚪ Neutral: no recent significant movement Trend-Weighted RSI: Modifies traditional RSI input by emphasizing price changes in the direction of the trend: In bull trends, upside moves are magnified. In bear trends, downside moves are emphasized. Dynamic RSI Zones: Overbought and Oversold thresholds adapt to the trend: In uptrends: higher OB and slightly raised OS → tolerate stronger rallies In downtrends: lower OS and slightly reduced OB → accommodate stronger sell-offs In neutral: default OB/OS values apply How to Use ✅ Entries (Reversal or Mean Reversion Traders): Look for oversold signals (green triangle) in downtrends or neutrals to catch potential reversals. Look for overbought signals (red triangle) in uptrends or neutrals to fade momentum. Confirm with price action or volume for higher conviction. 📈 Trend Continuation (Momentum or Trend-Followers): Use the trend direction label (Bullish / Bearish / Neutral) to align your trades with the broader move. Combine with moving averages or price structure for entry timing. Avoid counter-trend signals unless confirmed by divergence or exhaustion. 🧠 Signal Interpretation Table (top right of chart): Trend: Indicates the current market direction. RSI: Real-time trend-adjusted RSI value. Signal: OB/OS/Neutral classification. Customization Options ZigZag Length / Deviation %: Adjust pivot sensitivity and filter out minor noise. RSI Length: Controls how fast RSI responds to trend-adjusted price. Color Settings: Personalize visual cues for trend direction and OB/OS backgrounds. Alerts Included 📢 Overbought/oversold conditions 🔄 Trend reversals (bullish or bearish shift) These alerts are ideal for automated strategies, mobile notifications, or algorithmic workflows. Ideal For Traders seeking smarter RSI signals filtered by market structure Trend-followers and swing traders looking for reliable reversals Those frustrated with false OB/OS signals in volatile or trending markets Best Practices Use in confluence with price structure, trendlines, or S/R levels. For intraday: consider lowering ZigZag Length and RSI Length. For higher timeframes: use higher deviation % and smoother RSI to reduce noise.
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HabibiBudo tarafından
1
CUO WITH BLUE BULL// Core Ultra Oscillator (CUO) with Blue Bull // // The Core Ultra Oscillator (CUO) is a technical analysis tool designed to identify potential trend reversals and breakout opportunities by combining momentum, volume, and divergence analysis. // It aims to enhance divergence-based trading by incorporating additional filters to reduce false signals during strong market trends. // The indicator integrates WaveTrend Oscillator, regular volume and Cumulative Volume Delta (CVD), generating unique divergence signals enhanced with trend filters to allow greater flexibility in trading style and market type. // // Key Features: // - WaveTrend Oscillator: Plots momentum with customizable overbought and oversold levels, displaying buy (green dots) and sell (red dots) signals for prints in extreme zones. // - Divergence Detection: Identifies regular and hidden bullish/bearish divergences on WaveTrend and CVD, using green/red lines to connect fractal points for potential trend reversals. // - Cumulative Volume Delta (CVD): Measures buying and selling pressure with smoothed, normalized delta, enhanced by trend and slope filters for signal reliability. // - Trend Shift Dots: // - Green White Dot: Indicates the end of a bearish CVD trend, suggesting a potential bullish shift. // - Black Dot (Red Center): Signals the end of a bullish CVD trend, indicating a potential bearish shift. // - Seven Unique Dot Signals: // - Blue Dot (Blue Bull): Highlights potential bullish breakouts based on accumulated momentum. // - Yellow Dot (Gold Extreme Buy): Marks potential buying opportunities near market bottoms, often following an amber dot. // - Purple Dot (Extreme Sell): Identifies high-probability sell signals using divergence and trend weakness filters. // - Black Dot (Yellow Center): Targets first sign of weakness after a strong bullish trend ends, aiming to capture significant selloffs. // - Dark Blue Dot: Signals peaks in oversold regions after a bullish trend has ended and momentum has flipped towards the bears. // - Dark Grey Dot: Warns of potential tops via CVD bearish divergences, ideally confirmed with Purple Dot or regular divergences. // - Amber Dot: Indicates potential bottoms via CVD bullish divergences, to be confirmed with Yellow Dot or regular divergences. // - Comprehensive Alerts: Includes 15 alert conditions for WaveTrend, CVD, and dot signals to support real-time trading decisions. // // How to Use: // - Apply the indicator to any chart to monitor momentum, volume, and divergences. // - Adjust Trend momentum, WaveTrend, CVD, and trend thinning parameters through input settings. // - Use dot signals and divergence lines to time trade entries and exits. // - Configure alerts for real-time notifications of key signals. // // Note: This indicator is for informational purposes only and does not constitute financial advice. Users are encouraged to backtest thoroughly and evaluate the indicator’s performance in their trading strategy.
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GreenIce_Firefall tarafından
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal. Purpose of the Indicator MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior. Why a Trader Should Use It Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky. Why These Components Were Chosen Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise. Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1. Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale. Market Mode (Regime) : Based on those ranks, MERV classifies the market: Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity. Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market. Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy. The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral. Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions. What Makes MERV Stand Out Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique. Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers. Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds. Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals. Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other. Recommended Timeframes MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice: Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends. Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles. Scalpers might find MERV too “slow” unless input lengths are set very low. In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas. How the Scoring/Logic Works (Step-by-Step) Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy. Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are. Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on . Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line. Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action. Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value. Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only. Oscillator Plot – How to Read It The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element: Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed. Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength. Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close. Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero. Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable. Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime. Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star). Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance. Dashboard (Fixed Corner Panel) MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows: Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high). Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line. Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle. Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly. Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color. Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low. Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe. In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state. Real-Life Example Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case. Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve. Example: How It Looks in Action Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m) What it means: The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume. Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h) What it means: This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success. Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m) What it means: The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping. Settings and Inputs The script is fully open-source; here are key inputs the user can adjust: Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity. Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect. Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action. Show Heatmap : Toggles the entropy background coloring on/off. Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red). Show Mode Bar : Turn the bottom mode bar on/off. Show Dashboard : Turn the fixed table panel on/off. Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired. Oscillator Interpretation (Recap) Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile). Fill : Orange tinted area between them (for visual emphasis). Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom). Star Line : White star = ideal conditions, Gold = good but not ideal. Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric. Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly. Disclaimer This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly. -BullByte
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BullByte tarafından
6
RSI Divergence(CompactFX)This is the standard "RSI" with "divergence" displayed. Additionally, it has the following features: - The line color shifts above and below the RSI 50 threshold. - The MA can be displayed on the RSI. - Signs of an expected reversal are displayed. **Examples of Use** *For Swing Traders In addition to using the standard RSI, the divergence display can serve as a trigger for further consideration. *For Scalpers For athletic traders who prefer intuition over logic and calculation, we recommend customizing the RSI color to your liking for bulls and bears. Consider extending the price until the RSI color changes. Below is my example. -One-Minute Scalping When prices are moving above the long-term and short-term MAs, you can hold a position as long as the RSI is above 55 (below 45 for bears). In this case, pivot signs can also be used as a guide for closing positions. Of course, this is best done during periods of high momentum. Five- and 15-minute scalping also works well. However, these only work if you adhere to my logic. Don't forget to adhere to your own logic and framework. The above is just an example. Feel free to use it as you like.
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Shin_CompactFX tarafından
1
RSI and MACD Divergence IndicatorThe RSI and MACD Divergence Indicator is a custom Pine Script v6 indicator designed for TradingView that identifies and visualizes divergences between price movements and two technical indicators: the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD). Here's a brief explanation of its functionality: Divergence Detection: The indicator detects both regular and hidden divergences for RSI, MACD (MACD Line), and Histogram. Regular bullish divergences occur when price makes a lower low but the indicator makes a higher low (suggesting a potential reversal upward), while regular bearish divergences occur when price makes a higher high but the indicator makes a lower high (suggesting a potential reversal downward). Hidden divergences indicate continuation patterns (e.g., higher low in price with a lower low in the indicator for bullish continuation). Customizable Inputs: Pivot Bars: Sets the number of bars used to confirm pivot highs and lows (default: 5). RSI and MACD Parameters: Allows adjustment of RSI length (default: 14) and MACD settings (fast: 12, slow: 26, signal: 9). Toggle Options: Enables/disables detection of regular and hidden divergences for RSI, MACD, and Histogram individually. Confirmation: Option to wait for pivot confirmation (default: true), delaying divergence display until the pivot is fully formed. Show Only Last Divergence: Toggles between showing only the most recent divergence (default: true) or all detected divergences (false), with previous lines and labels cleared when true. Minimum Divergences: Sets the minimum number of divergence types required at a pivot to display (default: 1, max: 6). Maximum Pivot Points: Limits the number of historical pivot points to check (default: 10). Maximum Bars to Check: Restricts analysis to the last specified number of bars (default: 500). Visualization: Draws lines connecting the price pivot points where divergences are detected, with customizable colors, widths, and styles (solid, dashed, dotted) for RSI and MACD. Displays a single label per pivot with vertically stacked text listing all detected divergence types (e.g., "RSI Bull Div MACD Bull Div"), using semi-transparent backgrounds (green for bullish, red for bearish) and white text.
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Az_Tinks tarafından
TFPS - TradFi Pressure ScoreThe Data-Driven Answer to a New Market Reality. This indicator quantifies the pressure exerted by Wall Street on the crypto market across four critical dimensions: Risk Appetite, Fear, Liquidity Flows, and the Opportunity Cost of Capital. Our research has found that the correlation between this 4-dimensional pressure vector and crypto price action reaches peak values of 0.87. This is your decisive macro edge, delivered in real-time. The Irreversible Transformation A fundamental analysis of the last five years of market data proves an irreversible transformation: The crypto market has matured into a high-beta risk asset, its fate now inextricably linked to Traditional Finance (TradFi). The empirical data is clear: Bitcoin increasingly behaves like a leveraged version of the S&P 500. The correlation to major stock indices is statistically significant and persistent. The "digital gold" narrative is refuted by the data; the correlation to gold is virtually non-existent. This means standard technical indicators are no longer sufficient. Tools like RSI or MACD are blind to the powerful, external macro context that now dominates price action. They see the effect, but not the cause. The Solution: A 4-Dimensional Macro-Lens The TradFi Pressure Score (TFPS) is the answer. It is an institutional-grade dashboard that aggregates the four most dominant external forces into a single, actionable score: S&P 500 (SPY): The Pulse of Risk Appetite. A rising S&P signals a "risk-on" environment, fueling capital flows into crypto. VIX: The Market's Fear Gauge. A rising VIX signals a "risk-off" flight to safety, draining liquidity from crypto. DXY (US-Dollar Index): The Anchor of Global Liquidity. A strong Dollar (rising DXY) tightens financial conditions, creating powerful headwinds for risk assets like Bitcoin. US 10Y Yield: The Opportunity Cost of Capital. Rising yields make risk-free assets more attractive, pulling capital away from non-yielding assets like crypto. What makes the TFPS truly unique? 1. Dynamic Weighting (The Secret Weapon): Which macro factor matters most right now? Is it a surging Dollar or a collapsing stock market? The TFPS answers this automatically. It continuously analyzes the correlation of all four components to your chosen asset (e.g., Bitcoin) and adjusts their influence in real-time. The dashboard shows you the exact live weights, ensuring you are always focused on the factor that is currently driving the market. 2. Adaptive Engine: The forces driving a 15-minute chart are different from those driving a daily chart. The TFPS engine automatically recalibrates its internal lookback periods to your chosen timeframe. This ensures the score is always optimally relevant, whether you are a day trader or a swing trader. 3. Designed for Actionable Insights The Pressure Line: The indicator's core output. Is its value > 0 (tailwind) or < 0 (headwind)? This provides an instant, unambiguous read on the macro environment for your trade. The Z-Score (The Contrarian Signal): The background "Stress Cloud" and the discrete dots provide early warnings of extreme macro greed or fear. Readings above +2 or below -2 have historically pinpointed moments of market exhaustion that often precede major trend reversals. Lead/Lag Status: Gain a critical edge by knowing who is in the driver's seat. The dashboard tells you if TradFi is leading the price action or if crypto is moving independently, allowing you to validate your trade thesis against the dominant market force. This is a public indicator with protected source code Access is now available for traders who understand the new market reality at the intersection of crypto and traditional finance. You are among the first to leverage what is a new standard for macro analysis in crypto trading. Your feedback is highly valued as I continue to refine this tool. Follow for updates and trade with the full context!
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ayana-ailab tarafından
MTF Stochastic Trendline Drawing Trendlines Using Stochastic on Multi-Timeframes (MTF) Instead of drawing trendlines directly on price charts, this method focuses on drawing trendlines on the Stochastic Oscillator (%K line) to analyze momentum trends across different timeframes. The Stochastic Oscillator measures momentum — how strong or weak price movements are. By analyzing its shape and direction across multiple timeframes, and drawing trendlines on the %K line, you can better understand potential market reversals, continuation points, or breakout signals.
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nitissunghapun tarafından
Advanced Trend Panel v3.1This is a comprehensive dashboard indicator designed to give traders a multi-faceted view of the market at a single glance. It combines key indicators across multiple timeframes, calculates trend duration, and presents all information in a clean, color-coded table. This tool is perfect for confirming trade ideas, identifying trend alignment, and understanding the underlying market dynamics. #### Key Features: * **All-in-One Dashboard:** A convenient on-chart table summarizes the state of multiple key indicators, saving you screen space and time. * **Multi-Timeframe (MTF) Forecast:** Analyzes the long-term trend on a higher timeframe (e.g., Daily) to provide context for the current chart's trend. * **Trend Analysis:** Uses dual sets of EMAs (long-term and short-term) to define the primary and immediate trend directions. * **Trend Duration:** A unique feature that calculates how long the current short-term and long-term trends have been active, helping you gauge trend maturity. * **Core Indicators Included:** * **ADX:** Measures trend strength to differentiate between strong trends and weak or sideways markets. * **RSI:** Identifies overbought and oversold conditions. * **Point of Control (POC):** Shows the price level with the highest traded volume over a lookback period, acting as a key level of support/resistance. * **Volume:** Compares current volume to its moving average to spot unusual activity. * **Customizable Alerts:** Set up alerts for trend changes (long-term or short-term), RSI crossing into overbought/oversold zones, or shifts in ADX trend strength. #### How to Use: 1. Apply the indicator to your chart. 2. In the settings, configure the timeframes, indicator lengths, and display options to match your trading style. 3. Use the table to quickly assess if the long-term trend, short-term trend, and momentum are aligned. 4. Enable alerts to be notified of key changes in market conditions without having to watch the chart constantly. **Disclaimer:** This script is for educational purposes only and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Please backtest and use this tool as part of a comprehensive trading plan with proper risk management. Feedback is always welcome! If you find this indicator useful, please leave a like.
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TiamatCrypto tarafından
Gold 3min Trading Pro [XAU/USD]# Gold 3min Trading Pro - User Guide ## Overview This is a professional scalping indicator specifically designed for Gold (XAU/USD) trading on 3-minute timeframes. It combines multiple technical analysis methods to provide high-probability entry signals for short-term trading. ## Key Features ### 1. Multi-Timeframe Trend Analysis - **Major Trend**: Analyzes 15min, 1H, and 4H timeframes using moving averages - **Short-term Trend**: Focuses on 3-minute price action and moving average alignment - **Trend Strength**: Rated from 1-3 based on timeframe agreement ### 2. Core Indicators - **RSI (9-period)**: Momentum oscillator for overbought/oversold conditions - **Stochastic (9-period)**: %K and %D lines for entry timing - **MACD**: Additional trend confirmation - **Volume Analysis**: Detects volume spikes for signal validation - **ATR-based Volatility Filter**: Ensures adequate market movement ### 3. Signal Types - **Primary Signals**: Green triangles (LONG) and Red triangles (SHORT) - **Enhanced Signals**: Stronger signals with multiple confirmations - **Confirmation Signals**: Small circles for stochastic crossovers ## How to Use ### 1. Setup - **Timeframe**: Use on 3-minute charts for Gold (XAU/USD) - **Settings**: Default settings are optimized for Gold scalping - **Session Filter**: Enable for London/New York sessions (recommended) ### 2. Entry Conditions #### LONG Entry: - Major trend is bullish (green background) - Short-term trend is up or neutral - RSI shows bullish momentum - Stochastic indicates oversold recovery - Volume spike confirmation - Strong price action (bullish candle) #### SHORT Entry: - Major trend is bearish (red background) - Short-term trend is down or neutral - RSI shows bearish momentum - Stochastic indicates overbought reversal - Volume spike confirmation - Strong price action (bearish candle) ### 3. Trade Management - **Quick Target**: 50% of ATR-based calculation - **Main Target**: Full ATR-based target - **Stop Loss**: 60% of ATR below/above entry - **Time Limit**: Exit if no progress within 20 bars (60 minutes) ### 4. Risk Management - **Position Size**: Risk 1-2% of account per trade - **Maximum Trades**: 3-5 trades per session - **Avoid**: Low volatility periods and major news events ## Visual Elements ### Background Colors - **Light Green**: Bullish major trend - **Light Red**: Bearish major trend - **Yellow**: Volume spike detected - **Intense Colors**: Very strong trend alignment ### Chart Indicators - **RSI Line (Blue)**: Main momentum indicator - **Stochastic %K (Orange)**: Fast stochastic line - **Stochastic %D (Yellow)**: Slow stochastic line - **Horizontal Lines**: 70 (overbought), 30 (oversold), 50 (midline) ### Information Table (Top Right) - Total signal count and performance statistics - Current market conditions and trend strength - RSI levels and volatility status - Trading session information - Last signal timing ## Alert System ### Standard Alerts - **Scalp Long Signal**: Basic long entry signal - **Scalp Short Signal**: Basic short entry signal - **Premium Signals**: High-quality signals with strong confirmation - **Trend Reversal**: Major trend change notifications ### Alert Setup 1. Right-click on chart → "Add Alert" 2. Select desired alert condition 3. Configure notification method (popup, email, webhook) 4. Set alert frequency to "Once Per Bar Close" ## Best Practices ### 1. Trading Sessions - **Optimal**: London-NY overlap (3:00-5:00 PM EST) - **Good**: London session (2:00-11:00 AM EST) - **Avoid**: Asian session and major news releases ### 2. Market Conditions - **Best**: Trending markets with normal to high volatility - **Moderate**: Ranging markets during active sessions - **Avoid**: Extremely low volatility or choppy conditions ### 3. Confirmation Rules - Wait for signal triangle to appear - Check that major trend aligns with signal direction - Verify volume spike (yellow background) - Ensure volatility is adequate (check info table) ### 4. Entry Timing - Enter immediately after signal confirmation - Use market orders for scalping speed - Set stop loss and take profit levels immediately ## Settings Customization ### Essential Settings - **MA Type**: EMA (recommended) or SMA - **RSI Length**: 9 (default, can adjust 5-14) - **Volume Threshold**: 1.8 (higher = fewer but stronger signals) - **Volatility Filter**: Keep enabled for better signal quality ### Display Options - **Show Scalping Signals**: Main entry signals - **Show Performance Stats**: Information table - **Show Trend Filter**: Background trend colors - **Use Time Filter**: Session-based filtering ## Performance Optimization ### 1. Backtesting Tips - Test on different market conditions - Analyze win rate and average profit/loss - Adjust settings based on historical performance ### 2. Signal Quality - Higher trend strength (2-3) = better signals - Volume confirmation improves success rate - Enhanced signals have higher probability ### 3. Risk Control - Never risk more than 2% per trade - Use proper position sizing - Stop trading after 3 consecutive losses ## Troubleshooting ### Common Issues 1. **No Signals**: Check volatility filter and session timing 2. **Too Many Signals**: Increase volume threshold or enable filters 3. **Poor Performance**: Verify timeframe (must be 3-minute) and symbol (XAU/USD) ### Support - Ensure TradingView Pro+ subscription for multi-timeframe data - Verify Gold symbol matches your broker's format - Update to latest TradingView version This indicator is designed for experienced traders familiar with scalping techniques and risk management. Always practice on demo accounts before live trading.
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okinawan21 tarafından
MACD-RSI Divergence OscillatorMACD-RSI Divergence Oscillator: Dual Confirmation with Momentum + Divergence Signals This powerful oscillator combines MACD and RSI into a single normalized visual tool, enriched with automatic divergence detection and smart signal alerts. It’s designed to give traders advanced insights into momentum shifts and trend reversals. Key Features: • MACD + RSI Combo: Both indicators are scaled and merged into one oscillator for clearer interpretation. • Automatic Divergence Detection: • Bullish & Bearish divergences on both MACD and RSI • Highlights strong divergences when both confirm • Trading Signals: • Detects MACD crossovers and RSI reversals • Smart buy/sell signals based on momentum + divergence • Custom Oscillator View: • Plots MACD and RSI on the same scale • Visual zero-line, overbought/oversold levels, and customizable colors • Optional Dashboard Table: • Displays live indicator values, signal states, and divergence status Ideal For: • Spotting early trend reversals • Confirming trade entries/exits • Avoiding false signals using dual indicator logic Highly customizable and suitable for all timeframes and asset types.
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CaptainsPlan tarafından
Advanced Swing Breakout + RSI + EMA + Smart Volume SpikeThis indicator is designed to identify high-probability swing trade setups using a confluence of: Swing High/Low Breakouts RSI Trend Strength EMA Directional Bias Smart Volume Spike Confirmation It combines key price action levels with volume and momentum filters to generate clean, actionable breakout alerts. It’s perfect for both intraday and swing traders looking to trade breakouts with confirmation from multiple technical layers. ⚙️ How It Works: ✅ Swing Detection: Plots Swing Highs and Swing Lows based on the past N candles. Highlights breakouts above highs or breakdowns below lows. 💪 RSI Filter: Confirms whether the breakout is supported by RSI momentum. Bullish breakout requires RSI > 50 and price above EMA. Bearish breakdown requires RSI < 50 and price below EMA. 📈 EMA Trend Bias: EMA (default 20-period) shows directional bias. Used as a filter to confirm trade direction. 🔊 Smart Volume Spike: Detects significant volume spikes above a moving average threshold. Color-coded bars show whether volume is bullish, bearish, or neutral. Ensures breakout is not on weak or average volume. 🚨 Alerts Included: ✅ Break Above Swing High: Only triggers when RSI, EMA, and Volume all confirm the move. ⚠️ Break Below Swing Low: Triggered only when bearish conditions are met. 📊 Visual Output: Swing Highs: 🔴 Red Dots Swing Lows: 🟢 Green Dots EMA Line: 🟠 Orange Line Volume Spike Bars: Appears in separate pane with dynamic color logic. 🧠 Best Use Cases: Intraday Scalping (5m–15m timeframes) Swing Trading (1H–4H) Breakout Confirmation Volume-Supported Entry Filtering
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michaelvalerio0511 tarafından
RSI Zones - Directional Entry Strict RSI Zones – Directional Entry Tool (Modified RSI) This is a simple modification of the standard RSI indicator. I’ve added two custom horizontal lines at the 60–65 and 35–40 zones to help spot momentum shifts and potential reversal points. 60–65 zone: When RSI returns here from above 65, it often signals weakening bullish momentum — useful for spotting short opportunities. 35–40 zone: When RSI returns here from below 35, it can indicate momentum loss on the downside — good for potential long setups. This version helps traders filter out weak signals and avoid chasing extreme moves. It works best when combined with price action, structure, or divergence. Only 2 lines were added to the default RSI for better zone awareness. Everything else remains unchanged.
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Alhalawi tarafından