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M-oscillator

Time-Decaying Percentile Oscillator [BackQuant]Time-Decaying Percentile Oscillator 1. Big-picture idea Traditional percentile or stochastic oscillators treat every bar in the look-back window as equally important. That is fine when markets are slow, but if volatility regime changes quickly yesterday’s print should matter more than last month’s. The Time-Decaying Percentile Oscillator attempts to fix that blind spot by assigning an adjustable weight to every past price before it is ranked. The result is a percentile score that “breathes” with market tempo much faster to flag new extremes yet still smooth enough to ignore random noise. 2. What the script actually does Build a weight curve • You pick a look-back length (default 28 bars). • You decide whether weights fall Linearly , Exponentially , by Power-law or Logarithmically . • A decay factor (lower = faster fade) shapes how quickly the oldest price loses influence. • The array is normalised so all weights still sum to 1. Rank prices by weighted mass • Every close in the window is paired with its weight. • The pairs are sorted from low to high. • The cumulative weight is walked until it equals your chosen percentile level (default 50 = median). • That price becomes the Time-Decayed Percentile . Find dispersion with robust statistics • Instead of a fragile standard deviation the script measures weighted Median-Absolute-Deviation about the new percentile. • You multiply that deviation by the Deviation Multiplier slider (default 1.0) to get a non-parametric volatility band. Build an adaptive channel • Upper band = percentile + (multiplier × deviation) • Lower band = percentile – (multiplier × deviation) Normalise into a 0-100 oscillator • The current close is mapped inside that band: 0 = lower band, 50 = centre, 100 = upper band. • If the channel squeezes, tiny moves still travel the full scale; if volatility explodes, it automatically widens. Optional smoothing • A second-stage moving average (EMA, SMA, DEMA, TEMA, etc.) tames the jitter. • Length 22 EMA by default—change it to tune reaction speed. Threshold logic • Upper Threshold 70 and Lower Threshold 30 separate standard overbought/oversold states. • Extreme bands 85 and 15 paint background heat when aggressive fade or breakout trades might trigger. Divergence engine • Looks back twenty bars. • Flags Bullish divergence when price makes a lower low but oscillator refuses to confirm (value < 40). • Flags Bearish divergence when price prints a higher high but oscillator stalls (value > 60). 3. Component walk-through • Source – Any price series. Close by default, switch to typical price or custom OHLC4 for futures spreads. • Look-back Period – How many bars to rank. Short = faster, long = slower. • Base Percentile Level – 50 shows relative position around the median; set to 25 / 75 for quartile tracking or 90 / 10 for extreme tails. • Deviation Multiplier – Higher values widen the dynamic channel, lowering whipsaw but delaying signals. • Decay Settings – Type decides the curve shape. Exponential (default 1.16) mimics EMA logic. – Factor < 1 shrinks influence faster; > 1 spreads influence flatter. – Toggle Enable Time Decay off to compare with classic equal-weight stochastic. • Smoothing Block – Choose one of seven MA flavours plus length. • Thresholds – Overbought / Oversold / Extreme levels. Push them out when working on very mean-reverting assets like FX; pull them in for trend monsters like crypto. • Display toggles – Show or hide threshold lines, extreme filler zones, bar colouring, divergence labels. • Colours – Bullish green, bearish red, neutral grey. Every gradient step is automatically blended to generate a heat map across the 0-100 range. 4. How to read the chart • Oscillator creeping above 70 = market auctioning near the top of its adaptive range. • Fast poke above 85 with no follow-through = exhaustion fade candidate. • Slow grind that lives above 70 for many bars = valid bullish trend, not a fade. • Cross back through 50 shows balance has shifted; treat it like a micro trend change. • Divergence arrows add extra confidence when you already see two-bar reversal candles at range extremes. • Background shading (semi-transparent red / green) warns of extreme states and throttles your position size. 5. Practical trading playbook Mean-reversion scalps  1. Wait for oscillator to reach your desired OB/ OS levels  2. Check the slope of the smoothing MA—if it is flattening the squeeze is mature.  3. Look for a one- or two-bar reversal pattern.  4. Enter against the move; first target = midline 50, second target = opposite threshold.  5. Stop loss just beyond the extreme band. Trend continuation pullbacks  1. Identify a clean directional trend on the price chart.  2. During the trend, TDP will oscillate between midline and extreme of that side.  3. Buy dips when oscillator hits OS levels, and the same for OB levels & shorting  4. Exit when oscillator re-tags the same-side extreme or prints divergence. Volatility regime filter  • Use the Enable Time Decay switch as a regime test.  • If equal-weight oscillator and decayed oscillator diverge widely, market is entering a new volatility regime—tighten stops and trade smaller. Divergence confirmation for other indicators  • Pair TDP divergence arrows with MACD histogram or RSI to filter false positives.  • The weighted nature means TDP often spots divergence a bar or two earlier than standard RSI. Swing breakout strategy  1. During consolidation, band width compresses and oscillator oscillates around 50.  2. Watch for sudden expansion where oscillator blasts through extreme bands and stays pinned.  3. Enter with momentum in breakout direction; trail stop behind upper or lower band as it re-expands. 6. Customising decay mathematics Linear – Each older bar loses the same fixed amount of influence. Intuitive and stable; good for slow swing charts. Exponential – Influence halves every “decay factor” steps. Mirrors EMA thinking and is fastest to react. Power-law – Mid-history bars keep more authority than exponential but oldest data still fades. Handy for commodities where seasonality matters. Logarithmic – The gentlest curve; weight drops sharply at first then levels off. Mimics how traders remember dramatic moves for weeks but forget ordinary noise quickly. Turn decay off to verify the tool’s added value; most users never switch back. 7. Alert catalogue • TD Overbought / TD Oversold – Cross of regular thresholds. • TD Extreme OB / OS – Breach of danger zones. • TD Bullish / Bearish Divergence – High-probability reversal watch. • TD Midline Cross – Momentum shift that often precedes a window where trend-following systems perform. 8. Visual hygiene tips • If you already plot price on a dark background pick Bullish Color and Bearish Color default; change to pastel tones for light themes. • Hide threshold lines after you memorise the zones to declutter scalping layouts. • Overlay mode set to false so the oscillator lives in its own panel; keep height about 30 % of screen for best resolution. 9. Final notes Time-Decaying Percentile Oscillator marries robust statistical ranking, adaptive dispersion and decay-aware weighting into a simple oscillator. It respects both recent order-flow shocks and historical context, offers granular control over responsiveness and ships with divergence and alert plumbing out of the box. Bolt it onto your price action framework, trend-following system or volatility mean-reversion playbook and see how much sooner it recognises genuine extremes compared to legacy oscillators. Backtest thoroughly, experiment with decay curves on each asset class and remember: in trading, timing beats timidity but patience beats impulse. May this tool help you find that edge.
Pine Script® göstergesi
BackQuant tarafından
Moving Average Shift [Quantora]Title: Moving Average Shift Description: The Moving Average Shift is a dynamic technical analysis tool designed to help traders better visualize trend strength and direction using a combination of customizable moving averages and a volatility-adjusted oscillator. 🔧 Features: Multi-Type Moving Average Selection Choose from SMA, EMA, SMMA (RMA), WMA, and VWMA for your main signal line. ZLSMA Trio Three Zero-Lag Smoothed Moving Averages (ZLSMA) with adjustable lengths and colors provide a smoother trend-following structure without the delay of traditional MAs. EMA Ribbon (50/100/200) Add clarity to long-term trend direction with layered Exponential Moving Averages in key institutional periods. Volatility-Adjusted Oscillator A color-changing oscillator calculated from the normalized deviation between price and the selected MA. This helps identify trend shifts and momentum buildups. Custom MA Line Widths and Styling Full control over the width and appearance of all MA lines for visual clarity. Bar & Candle Coloring Bars and candles dynamically change color based on the relationship between price and the selected MA — helping you quickly assess bullish/bearish conditions. 📈 How It Helps: Spot early trend shifts through the oscillator. Confirm trades using the alignment between ZLSMAs and EMAs. Quickly assess current trend conditions using color-coded price bars.
Pine Script® göstergesi
Quantora-Trades tarafından
1
Fisher Crossover StrategyThe Fisher Crossover Strategy is a popular technical trading method that uses the Fisher Transform indicator developed by John Ehlers. This indicator mathematically converts price data into a normal Gaussian distribution, making market turning points sharper and easier to identify. The strategy is based on two lines: the Fisher line, which is the main transformed price value, and the Trigger line, which is a one-period lag of the Fisher line. Traders use the crossover of these lines to determine buy and sell opportunities. A buy signal is generated when the Fisher line crosses above the Trigger line, indicating that bullish momentum may be starting, while a sell signal occurs when the Fisher line crosses below the Trigger line, suggesting a possible bearish reversal. Signals that occur relative to the zero line are often considered stronger; for example, a buy signal below the zero line may indicate a deeper market reversal. The strategy is simple to follow and can be applied to various markets including stocks, forex, commodities, and cryptocurrencies. However, like all crossover strategies, it can produce false signals during sideways or ranging markets. To reduce whipsaws, traders often combine the Fisher Crossover Strategy with other tools such as support and resistance levels, volume analysis, or moving averages. Proper risk management with stop-loss and take-profit levels is also essential. Overall, the Fisher Crossover Strategy is valued for its clear entry and exit rules and its ability to highlight potential market reversals earlier than many other indicators.
Pine Script® stratejisi
kamalverma1207 tarafından
CCI Turbo Pro [CongTrader]📄 Full Description for Publishing — CCI Turbo Pro ⚡️ CCI Turbo Pro — Advanced CCI with Reversal Zones & Alerts This advanced CCI (Commodity Channel Index) indicator is built for traders who want enhanced reversal signals, customizable extreme zones, and dynamic alerts. It improves the classic CCI with better visual cues and momentum filtering to help you avoid false signals. 🛠️ How to Use: CCI Length (default = 20): Adjust based on your trading timeframe. Overbought/Oversold Zones: Overbought = 200 Oversold = -200 Extreme OB = 300 (red zone) Extreme OS = -300 (green zone) When the CCI crosses from below −200 → BUY signal When the CCI crosses from above +200 → SELL signal Background turns green/red in extreme zones Optional labels show entry signals clearly This indicator is useful for: Reversal Trading Momentum Shifts Scalping, Swing, or Intraday strategies Overbought/Oversold Confirmation Works on: Any asset (Crypto, Forex, Stocks, Indices) Any timeframe 🔔 Alerts Included: 📈 CCI Buy Alert → CCI crossed up from oversold 📉 CCI Sell Alert → CCI crossed down from overbought 🚨 Extreme OB/OS Alert → CCI enters extreme reversal zone Alerts help you stay informed even when away from the screen. 🔎 Keywords (for search discovery): CCI, CCI Reversal, CCI Alert, Turbo CCI, Advanced CCI, CCI Zones, CCI Overbought, CCI Oversold, Momentum Reversal, CCI Scalping, CongTrader, CCI Buy Sell, Technical Indicator 🙏 Thank You If this indicator adds value to your trading, please give it a 👍, leave a comment, or follow for more free tools from CongTrader. Your support helps independent creators grow the community. ⚠️ Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Use this tool with your own judgment and risk management. Past performance does not guarantee future results. ✍️ Created by CongTrader — Free, Open-Source Tools for Smarter Traders...
Pine Script® göstergesi
CongTrader_ tarafından
EZThis script is designed to provide a clear, visual confirmation of trend direction, momentum shifts, and institutional bias by combining multiple EMA layers and smoothed Heiken Ashi waves. Features: • EMA Trend Band (8, 13, 21 EMA): Highlights short-term trend strength and clean stacking conditions. • 35 EMA Momentum Line: Captures medium-term momentum shifts for better trade entries. • 200 SMA Institutional Bias Line: Filters trades aligned with higher timeframe bias. • Triple-Smoothed Heiken Ashi Waves: Changes background & candle colors to reflect momentum waves, filtering out noise and false signals. • Liquidity Sweep Zones & Inverse FVGs (Optional): Helps identify smart money footprints and potential reversal zones. Use Case: • Best suited for trend-following traders, scalpers, and swing traders who rely on multi-timeframe confluence. • Works effectively on Forex, Futures, Indices, and Crypto charts. • Designed to filter out fakeouts and highlight high-probability trade zones. Disclaimer: This script is for educational purposes only. It does not guarantee profits and should be used in combination with proper risk management and trading experience.
Pine Script® göstergesi
jashansidhu1313 tarafından
Time-Price Velocity [QuantAlgo]🟢 Overview The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions. This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula: velocity = priceChange / timeWeight The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings: normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0 where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period. The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time: acceleration = normalizedVelocity - normalizedVelocity Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness: signal = ta.ema(normalizedVelocity, smooth) This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point 2. Acceleration Analysis and Visual Features Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators 3. Additional Features: Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities Alert System: Built-in alerts for threshold crossovers and direction changes 🟢 Examples with Preconfigured Settings Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis. Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities. Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
Pine Script® göstergesi
QuantAlgo tarafından
3
Modular Range-Trading Strategy (V9.2)# 模块化震荡行情策略 (V9.2) # Modular Range-Trading Strategy (V9.2) ## 策略简介 | Strategy Overview 该策略基于布林带 (Bollinger Bands)、RSI、MACD、ADX 等经典指标的组合，通过多逻辑模块化结构识别震荡区间的价格反转机会，支持多空双向操作，并在相同逻辑下允许智能加仓，适用于震荡市场的回测和研究。 This strategy combines classic indicators such as Bollinger Bands, RSI, MACD, and ADX to identify price reversal opportunities within ranging markets. It features a modular multi-logic structure, allowing both long and short trades with intelligent pyramiding under the same logic. It is designed for backtesting and research in range-bound conditions. --- ## 功能特点 | Key Features - **多逻辑结构**：支持多套震荡逻辑（动能确认均值回归、布林带极限反转等）。 - **加仓与仓位互斥**：同逻辑下可智能加仓，不同逻辑间自动互斥，避免冲突。 - **回测可调时间范围**：可自定义回测起止时间，精准评估策略表现。 - **指标可视化**：布林带、RSI、MACD 及动态 ATR 止损线实时绘图。 - **K线收盘确认信号**：通过 `barstate.isconfirmed` 控制信号，避免未收盘的虚假信号。 - **Multi-logic structure**: Supports multiple range-trading logics (e.g., momentum-based mean reversion, Bollinger Band reversals). - **Pyramiding with mutual exclusion**: Allows intelligent pyramiding within the same logic while preventing conflicts between different logics. - **Adjustable backtesting range**: Customizable start and end dates for accurate performance evaluation. - **Visual indicators**: Real-time plotting of Bollinger Bands, RSI, MACD, and dynamic ATR stop lines. - **Close-bar confirmation**: Uses `barstate.isconfirmed` to avoid false signals before bar close. --- ## 使用说明 | Usage 1. 将该脚本添加到 TradingView 图表。 2. 在参数中设置回测时间段和指标参数。 3. 仅用于学习与策略研究，请勿直接用于实盘交易。 1. Add this script to your TradingView chart. 2. Configure backtesting dates and indicator parameters as needed. 3. For educational and research purposes only. **Not for live trading.** --- ## ⚠️ 免责声明 | Disclaimer 本策略仅供学习和研究使用，不构成任何形式的投资建议。 作者不参与任何实盘交易、资金管理或收益分成，也不保证策略盈利能力。 严禁将本脚本用于任何非法集资、私募募资或与虚拟货币相关的金融违法活动。 使用本策略即表示您自行承担所有风险与法律责任。 This strategy is for educational and research purposes only and does not constitute investment advice. The author does not participate in live trading, asset management, or profit sharing, nor guarantee profitability. The use of this script in illegal fundraising, private placements, or cryptocurrency-related financial activities is strictly prohibited. By using this strategy, you accept all risks and legal responsibilities. ---
Pine Script® stratejisi
FROST_Quant tarafından
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.
Pine Script® göstergesi
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
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.
Pine Script® göstergesi
mlsdr 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
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
Smart Price Divergence (MACD Filter) + EMA📌 Purpose This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition. It helps identify high-probability reversal zones aligned with market trend context. 🧠 How It Works 1. MACD Divergence Logic Bearish Divergence: Price makes a higher high. MACD makes a lower high. Price is above EMA (indicating possible exhaustion in bullish trend). Bullish Divergence: Price makes a lower low. MACD makes a higher low. Price is below EMA (indicating possible exhaustion in bearish trend). 2. EMA Trend Filter EMA(200) is used as a directional filter: Bearish divergences considered above EMA (extended bullish conditions). Bullish divergences considered below EMA (extended bearish conditions). 3. Visual & Alerts EMA(200) plotted on chart in orange. Red triangles for Bearish Divergence. Green triangles for Bullish Divergence. Alerts fire for both divergence types. 📈 How to Use Look for divergence signals as potential reversal alerts. Combine with support/resistance or price action for confirmation. EMA ensures signals occur in extended zones, increasing reliability. Recommended Timeframes: 1h, 4h, D. Markets: Forex, Crypto, Stocks. ⚙️ Inputs MACD Fast / Slow / Signal Length EMA Length (default 200) ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before live trading.
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artemka3091 tarafından
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator. It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring. 🧠 How It Works 1. RSI Calculation RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14). 2. Divergence Detection via Fractals Swing points on both price and RSI are detected using fractal logic (5-bar patterns). Regular Divergence: Bearish: Price forms a higher high, RSI forms a lower high. Bullish: Price forms a lower low, RSI forms a higher low. Hidden Divergence: Bearish: Price forms a lower high, RSI forms a higher high. Bullish: Price forms a higher low, RSI forms a lower low. 3. Auto Drawing Lines Lines are drawn automatically between divergence points: Red = Regular Bearish Green = Regular Bullish Orange = Hidden Bearish Blue = Hidden Bullish Line width and transparency are adjustable. 4. Labels and Alerts Labels mark divergence points with up/down arrows. Alerts trigger for each divergence type. 📈 How to Use Use Regular Divergences to anticipate trend reversals. Use Hidden Divergences to confirm trend continuation. Combine with support/resistance, trendlines, or volume for higher probability setups. Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily. Markets: Forex, Crypto, Stocks. ⚙️ Inputs Source (Close, HL2, etc.) RSI Length Toggle Regular / Hidden Divergence visibility Toggle Lines / Labels Line Width & Line Transparency ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before using in live trading.
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artemka3091 tarafından
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters. 🧠 How It Works A signal is triggered only when all core conditions are satisfied: 1. Swing High/Low Detection Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50). This ensures the move is significant relative to recent price action. 2. Impulse Confirmation Price must extend by at least 1 × ATR from the previous swing point. This filters out minor fluctuations. 3. Exhaustion Conditions (at least 2 out of 3 must be met) RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals. Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier. Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups. 4. Trend Filter ADX > ADX Threshold ensures the market is trending and filters out sideways conditions. 5. Candle Body Filter Candle body must be ≥ Body Size ATR Factor × ATR. This avoids weak signals from small candles or doji formations. 📈 How to Use Bearish Signal: Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts. Bullish Signal: Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs. Recommended Timeframes: Works best on 1h, 4h, and Daily charts. Markets: Crypto, Forex, Stocks — wherever volatility and trends are present. ⚙️ Inputs RSI Length / Overbought / Oversold Volume SMA Length & Volume Spike Multiplier Wick Threshold % Extremum Lookback (bars for highs/lows) ADX Length & Threshold Body Size ATR Factor ⚠️ Disclaimer This script is for educational purposes only and does not constitute financial advice. Always test thoroughly and apply proper risk management before live trading. 💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
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artemka3091 tarafından