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cd_RSI_Divergence_CxGeneral: The Relative Strength Index (RSI) is a momentum oscillator widely used by traders in price analysis. In addition to showing overbought/oversold zones, divergences between RSI and price are also tracked to identify trading opportunities. The general consensus is that oscillators alone are not sufficient for entries and should be evaluated together with multiple confirmations. This oscillator is designed as an additional confirmation/compatible tool for strategies that already use higher time frame (HTF) sweeps and lower time frame (LTF) confirmations such as Change in State Delivery (CISD) or Change of Character (CHOCH). Features: While RSI oscillators are commonly displayed in line format (classic), this indicator also offers candlestick-style visualization. Depending on the selected source, period length, and EMA length, RSI can be displayed as lines and/or candlesticks. Divergence detection & tracking: Price and RSI values are monitored on the chosen higher time frame (from the menu) to determine highs and lows. For divergence display, the user can choose between two modes: 1- Alignment with HTF Sweep 2- All 1 - Alignment with HTF Sweep: First, the price must sweep the previous high/low of the candle on the HTF (i.e., break it) but fail to continue in that direction and return inside (sweep). If this condition is met, RSI values are checked: If price makes a high sweep but RSI fails to make a new high → divergence is confirmed. If price makes a low sweep but RSI fails to make a new low → divergence is confirmed. Divergence is then displayed on the chart. 2 - All: In this mode, sweep conditions are ignored. Divergence is confirmed if: Price makes a new high on HTF but RSI does not. RSI makes a new high on HTF but price does not. Price makes a new low on HTF but RSI does not. RSI makes a new low on HTF but price does not. Menu & Settings: RSI visualization (source + period length + EMA period length) Option to choose classic/candlestick style display Color customization Higher time frame selection Adjustable HTF boxes and table display Final notes: This oscillator is designed as an additional confirmation tool for strategies based on HTF sweep + LTF CISD/CHOCH confirmation logic. The chosen HTF in the oscillator should match the time frame where sweeps are expected. Divergence signals from this oscillator alone will not make you profitable. For spot trades, monitoring sweeps and divergences on higher time frames is more suitable (e.g., Daily–H1 / Weekly–H4). My personal usage preferences: Entry TF: 3m HTF bias: Daily + H1 Sweep + CISD: 30m / 3m Market Structure: 3m RSI divergence: HTF = 30m If all of them align bullish or bearish ( timeframe alignment ), I try to take the trade. I’d be glad to hear your feedback and suggestions for improvement. Happy trading!
Pine Script® göstergesi
cdikici71 tarafından
8
Dual Stochastic with Trend FilterThe "Dual Stochastic with Trend Filter" is an oscillator indicator designed to provide clearer, trend-aligned trading signals. It uses two distinct stochastic oscillators to identify potential entry points and incorporates an optional EMA-based trend filter to ensure that you are trading in the direction of the broader market momentum. How It Works and How to Use It This indicator combines two key technical analysis concepts: momentum (via stochastics) and trend (via moving averages). Core Components: Dual Stochastic Oscillators: Signal Line 1 (Blue): A standard stochastic oscillator. Signal Line 2 (Red): A second stochastic oscillator, often using a different source (like hlcc4) to provide a smoother, more reliable signal. A buy signal is generated when the Blue Line (d1) crosses above the Red Line (d2). A sell signal is generated when the Blue Line (d1) crosses below the Red Line (d2). Trend Filter (Optional): This feature uses a fast and a slow Exponential Moving Average (EMA) to determine the overall market trend. When the fast EMA is above the slow EMA, the background will turn green, indicating an uptrend. When the fast EMA is below the slow EMA, the background will turn red, indicating a downtrend. This filter can be toggled on or off in the indicator settings. How to Use: With Trend Filter Enabled (Recommended): Long (Buy) Entry: Look for a green triangle buy signal (▲). This signal only appears when: The Blue Signal Line crosses above the Red Signal Line. The market is in a confirmed uptrend (green background). Short (Sell) Entry: Look for a red triangle sell signal (▼). This signal only appears when: The Blue Signal Line crosses below the Red Signal Line. The market is in a confirmed downtrend (red background). Exit Signal: A yellow circle (●) appears to suggest closing an open trade. This signal is triggered for a long position if either the stochastics have a bearish cross or the trend flips to a downtrend. Conversely, for a short position, it's triggered by a bullish stochastic cross or a trend flip to an uptrend. With Trend Filter Disabled: If you turn off the "Use Trend Filter" option, the indicator will function as a simple dual stochastic crossover system. A green triangle (▲) will appear every time the Blue Line crosses above the Red Line. A red triangle (▼) will appear every time the Blue Line crosses below the Red Line. The background coloring and exit signals based on trend flips will be deactivated. This mode is more sensitive but may produce more false signals in choppy markets. Key Visuals: Blue Line: The primary signal line. Red Line: The secondary, often smoother, signal line. Green Triangle (▲): Bullish entry signal. Red Triangle (▼): Bearish entry signal. Yellow Circle (●): Suggested trade exit/stop. Green/Red Background: Visual confirmation of the current uptrend or downtrend. By filtering stochastic signals with the dominant trend, this indicator helps traders avoid common pitfalls like entering short positions during a strong uptrend or buying into a bearish market. This alignment of momentum and trend is key to improving signal quality. Disclaimer This indicator is provided for educational and informational purposes only and should not be considered as financial advice or a recommendation to buy or sell any asset. All trading and investment decisions are your own sole responsibility. Trading financial markets involves a high level of risk, and you may lose more than your initial investment. Past performance is not indicative of future results. The signals generated by this indicator are not guaranteed to be accurate, and you should always use this tool in conjunction with other forms of analysis and sound risk management practices. Before using this indicator in a live trading environment, it is strongly recommended that you backtest it thoroughly and practice with it on a demo account. The author is not responsible for any financial losses you may incur from using this script.
Pine Script® göstergesi
EkaSanatani tarafından
1
RSI with Moving Averages[UO] EnhancedWhat This Indicator Does Displays the RSI (Relative Strength Index) with two customizable moving averages to help identify trend direction and momentum shifts. Key Features RSI Line: Shows momentum (overbought above 70, oversold below 30) Two Moving Averages: Smooth RSI signals and show trend direction Color-Coded Fills: Visual areas between lines indicate bullish/bearish conditions Support/Resistance Lines: Bull market support (40) and bear market resistance (60) Customization Options Moving Average Types: Choose SMA or EMA for each line Periods: Adjust RSI (14), First MA (13), Second MA (33) Visual Elements: Toggle background shading and fills on/off Colors & Styles: Customize all line colors and widths in Style tab How to Read It Green Fill: Second MA below first MA (bullish momentum) Red Fill: Second MA above first MA (bearish momentum) RSI Above 70: Potentially overbought RSI Below 30: Potentially oversold Perfect for traders wanting enhanced RSI analysis with flexible moving average confirmation signals.
Pine Script® göstergesi
vssebuyungo tarafından
Constance Brown Composite Index EnhancedWhat This Indicator Does Implements Constance Brown's copyrighted Composite Index formula (1996) from her Master's thesis - a breakthrough oscillator that solves the critical problem where RSI fails to show divergences in long-horizon trends, providing early warning signals for major market reversals. The Problem It Solves Traditional RSI frequently fails to display divergence signals in Global Equity Indexes and long-term charts, leaving asset managers without warning of major price reversals. Brown's research showed RSI failed to provide divergence signals 42 times across major markets - failures that would have been "extremely costly for asset managers." Key Components Composite Line: RSI Momentum (9-period) + Smoothed RSI Average - the core breakthrough formula Fast/Slow Moving Averages: Trend direction confirmation (13/33 periods default) Bollinger Bands: Volatility envelope around the composite signal Enhanced Divergence Detection: Significantly improved trend reversal timing vs standard RSI Research-Proven Performance Based on Brown's extensive study across 6 major markets (1919-2015): 42 divergence signals triggered where RSI showed none 33 signals passed with meaningful reversals (78% success rate) Only 5 failures - exceptional performance in monthly/2-month timeframes Tested on: German DAX, French CAC 40, Shanghai Composite, Dow Jones, US/Japanese Government Bonds New Customization Features Moving Average Types: Choose SMA or EMA for fast/slow lines Optional Fills: Toggle composite and Bollinger band fills on/off All Periods Adjustable: RSI length, momentum, smoothing periods Visual Styling: Customize colors and line widths in Style tab Default Settings (Original Formula) RSI Length: 14 RSI Momentum: 9 periods RSI MA Length: 3 SMA Length: 3 Fast SMA: 13, Slow SMA: 33 Bollinger STD: 2.0 Applications Long-term investing: Monthly/2-month charts for major trend changes Elliott Wave analysis: Maximum displacement at 3rd-of-3rd waves, divergence at 5th waves Multi-timeframe: Pairs well with MACD, works across all timeframes Global markets: Proven effective on equities, bonds, currencies, commodities Perfect for serious traders and asset managers seeking the proven mathematical edge that traditional RSI cannot provide.
Pine Script® göstergesi
vssebuyungo tarafından
2
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide ## Overview The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments. ## How It Works The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that: - **High values (80+)** = Narrow channels = Low volatility = Squeeze - **Low values (20-)** = Wide channels = High volatility = Expansion ## Key Parameters ### Core Settings - **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels - **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator - **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100 ### Threshold Levels - **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions - **Over Expansion (20)**: Values below this level indicate strong expansion conditions ## Reading the Indicator ### Color Coding - **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating - **Orange Line**: Neutral/trending condition with upward momentum - **Green Line**: Expansion condition or downward momentum ### Visual Elements - **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone - **Gray Dotted Line (50)**: Middle line - neutral zone - **Green Dashed Line (20)**: Expansion threshold - high volatility zone - **Red Background**: Highlights active squeeze periods ## Trading Applications ### 1. Breakout Trading - **Setup**: Wait for DSO to reach 80+ (squeeze zone) - **Entry**: Look for breakouts when DSO starts declining from squeeze levels - **Logic**: Prolonged low volatility often precedes significant price movements ### 2. Volatility Cycle Trading - **Squeeze Phase**: DSO > 80 - Prepare for potential breakout - **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout - **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal ### 3. Trend Confirmation - **Orange Color**: Suggests bullish momentum during expansion - **Green Color**: Suggests bearish momentum or consolidation - Use in conjunction with price action for trend confirmation ## Best Practices ### Timeframe Selection - **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts - **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise - **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF ### Parameter Optimization - **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10) - **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity - **Trending Markets**: Use longer normalization lookback (300-400) ### Signal Confirmation Always combine DSO signals with: - **Price Action**: Support/resistance levels, chart patterns - **Volume**: Confirm breakouts with increasing volume - **Other Indicators**: RSI, MACD, or momentum oscillators ## Alert System The indicator includes built-in alerts for: - **Squeeze Started**: When DSO crosses above the squeeze threshold - **Expansion Started**: When DSO crosses below the expansion threshold ## Common Pitfalls to Avoid 1. **False Breakouts**: Don't trade every squeeze - wait for confirmation 2. **Parameter Over-optimization**: Stick to default settings initially 3. **Ignoring Market Context**: Consider overall market conditions and news 4. **Single Indicator Reliance**: Always use additional confirmation tools ## Advanced Tips - Monitor squeeze duration - longer squeezes often lead to bigger moves - Look for squeeze patterns at key support/resistance levels - Use DSO divergences with price for potential reversal signals - Combine with Bollinger Band squeezes for enhanced accuracy ## Conclusion The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
Pine Script® göstergesi
cgrmetin tarafından
Inside Candle DivergenceStudy Material: Inside Candle Divergence Indicator (aiTrendview) 1. Introduction The Inside Candle Divergence Indicator is a custom tool built on TradingView using Pine Script. It is designed to help traders identify potential reversal points or trend continuations using a mix of candlestick analysis, RSI (Relative Strength Index), VWAP (Volume Weighted Average Price), Pivot Points, and Volume analytics. The tool also provides a dashboard table on the chart, summarizing all key values in a single glance for traders and analysts. This indicator is not just a signal generator but also an educational framework—explaining how different concepts in technical analysis combine to build a systematic approach for market entries and exits. ________________________________________ 2. Core Concepts Behind the Tool A. Inside Candle Pattern An Inside Candle forms when the current candle’s high is lower than or equal to the previous candle’s high, and the low is higher than or equal to the previous candle’s low. • This means the entire price action of the current candle is "inside" the range of the previous candle. • A bullish inside candle occurs when the close is higher than the open. • A bearish inside candle occurs when the close is lower than the open. This pattern shows market indecision but also sets up potential breakouts or trend reversals. ________________________________________ B. RSI (Relative Strength Index) The indicator calculates RSI using the formula from the ta.rsi() function in TradingView. RSI helps measure momentum in the market. • A low RSI (below 25) signals an oversold zone → possible buy. • A high RSI (above 75) signals an overbought zone → possible sell. By combining RSI with the Inside Candle, the indicator ensures that signals are triggered only when momentum and price patterns confirm each other. ________________________________________ C. Buy & Sell Signals • Buy Signal: Triggered when RSI < Buy Level (default 25) and a bullish inside candle forms. • Sell Signal: Triggered when RSI > Sell Level (default 75) and a bearish inside candle forms. When triggered, the chart displays a BUY (green label below candle) or SELL (red label above candle) marker. The indicator also saves the entry price and signal bar for future reference inside the dashboard. ________________________________________ D. VWAP (Volume Weighted Average Price) VWAP is calculated using the typical price (H+L+C)/3 and weighting it by volume. • VWAP shows the average trading price weighted by volume, widely used by institutions. • The tool calculates the distance of price from VWAP in % terms. • If price is far above VWAP, the market may be overheated (overbought). If far below, it may be undervalued (oversold). ________________________________________ E. Volume Analysis The tool splits volume into Buy Volume and Sell Volume: • Buy Volume: If close > open. • Sell Volume: If close ≤ open. • Cumulative totals are maintained, and percentages are calculated to show what proportion of total market volume is bullish vs bearish. • A progress bar style visual (using blocks █) shows the dominance of buyers or sellers. This allows traders to quickly measure whether buyers or sellers are controlling the market trend. ________________________________________ F. Daily Pivot Points Pivot Points are calculated using the previous day’s high, low, and close: • Pivot = (High + Low + Close) / 3 • R1, S1, R2, S2, R3, S3 levels are derived from this pivot. • These levels act as support and resistance zones. The script plots Pivot, R1, and S1 lines on the chart for easy reference. ________________________________________ G. Trend Direction The indicator checks where the price is compared to R1 and S1: • If price > R1 → Bullish Trend • If price < S1 → Bearish Trend • Otherwise → Neutral Trend The trend direction is displayed in the dashboard with arrows (↑, ↓, →). ________________________________________ H. Price Change Calculation The tool calculates: • Price Change = Current Close – Previous Close • Percentage Change = (Change / Previous Close) × 100 • Displays ▲ (green upward) or ▼ (red downward) with the exact percentage. This gives traders a quick snapshot of intraday price movement. ________________________________________ I. Dashboard Table One of the most powerful features is the real-time dashboard table shown on the chart. It contains: 1. Symbol & Price Info (Current ticker, price, change %) 2. RSI Reading (with color coding: green for oversold, red for overbought) 3. VWAP and Distance from VWAP 4. Volume Analysis with Progress Bar (Buy vs Sell %) 5. Pivot Levels (Pivot, R1, S1) 6. Trend Direction (Bullish, Bearish, Neutral) 7. Signal Status (Last Buy/Sell signal with entry price) This reduces the need for multiple indicators and gives traders a command-center view directly on the chart. ________________________________________ J. Alerts The tool generates alerts whenever a Buy or Sell condition is met. Traders can set up TradingView alerts to be notified instantly when: • Buy Signal Alert → RSI oversold + Bullish inside candle • Sell Signal Alert → RSI overbought + Bearish inside candle This ensures no opportunity is missed even if you’re not actively monitoring the chart. ________________________________________ K. Background Highlights The chart background also changes faintly (light green or light red) when a Buy or Sell condition is triggered. This gives traders visual confirmation along with signals and alerts. ________________________________________ 3. Practical Use of This Tool • Scalpers & Intraday Traders can use it for quick momentum-based entries. • Swing Traders can use the RSI + Inside Candle + Pivot Points to find medium-term reversals. • Analysts can use the dashboard for real-time summaries in reports. • Volume Analysis helps understand institutional activity. Remember: This is not a standalone holy grail. It must be used with proper risk management and confirmation from higher timeframes. ________________________________________ 4. Strict Disclaimer (aiTrendview) ⚠️ Disclaimer from aiTrendview: This indicator is designed for educational and analytical purposes only. It is not financial advice or a guaranteed trading strategy. Markets are inherently risky and unpredictable; past performance of indicators does not ensure future results. Trading involves risk of financial loss, and traders must use proper risk management, stop-loss, and independent judgment. aiTrendview strictly follows TradingView.com rules and compliance guidelines. Any misuse of this tool, its code, or analytical features for unauthorized commercial purposes, false promises, or misleading activities is strictly discouraged. The creators of this script and aiTrendview will not be responsible for any losses, damages, or misuse arising from its application. Always trade responsibly and only with money you can afford to lose. ________________________________________
Pine Script® göstergesi
aiTrendview-Charting-System tarafından
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities. 🔶 Advanced Statistical Normalization Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions. // Core EMA and Oscillator Calculation ema_values = ta.ema(close, ema_period) oscillator_values = close - ema_values rolling_std = ta.stdev(oscillator_values, ema_period) z_score = oscillator_values / rolling_std 🔶 Dual Threshold System Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes. // Statistical Thresholds mild_threshold = 1.0 // ±1σ (68% confidence) moderate_threshold = 2.0 // ±2σ (95% confidence) extreme_threshold = 3.0 // ±3σ (99.7% confidence) // Percentage-Based Dynamic Thresholds osc_high = ta.highest(math.abs(z_score), lookback_period) mild_pct_thresh = osc_high * (mild_pct / 100.0) moderate_pct_thresh = osc_high * (moderate_pct / 100.0) extreme_pct_thresh = osc_high * (extreme_pct / 100.0) 🔶 Signal Generation Framework Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration. // Extreme Signal Detection sell_signal = ta.crossover(z_score, selected_extreme) buy_signal = ta.crossunder(z_score, -selected_extreme) // Dynamic Color Coding signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought z_score >= selected_moderate ? #ff6a6a : // Overbought z_score >= selected_mild ? #b86456 : // Mildly Overbought z_score > -selected_mild ? #a1a1a1 : // Neutral z_score > -selected_moderate ? #01b844 : // Mildly Oversold z_score > -selected_extreme ? #00ff66 : // Oversold #00ff66 // Extremely Oversold 🔶 Visual Structure Analysis Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing. snapshot 4H 1D 🔶 Adaptive Threshold Selection Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles. 🔶 Performance Optimization Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options. 🔶 Market Oscillator Interpretation Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches. snapshot 🔶 Intelligent Signal Management Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles. Why Choose EMA Oscillator ? This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
Pine Script® göstergesi
AlphaExtract tarafından
Penguin Trend with RSI on DiffVisualizes volatility regime via the percent spread between the upper Bollinger Band and the upper Keltner Channel, with bar colors from a lightweight trend engine and an RSI computed on the Diff signal. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and an optional calculation timeframe. Defaults preserve the original look and behavior. Penguin Trend with RSI on Diff shows expansion vs. compression in price action by comparing two classic volatility envelopes. It computes: Diff% = (UpperBB − UpperKC) / UpperKC × 100 • Diff > 0: Bollinger Bands are wider than Keltner Channels → expansion / momentum regime • Diff < 0: BB narrower than KC → compression / squeeze regime A white “Average Diff” line smooths Diff% (default: SMA(5)) to highlight regime shifts. Bars are colored only when Diff > 0 to focus on expansion phases. A lightweight trend engine defines four states from a fast/slow MA bias and a short “thrust” MA on ohlc4: • Green: Bullish bias and thrust > fast MA (healthy upside thrust) • Red: Bearish bias and thrust < fast MA (healthy downside thrust) • Yellow: Bullish bias but thrust ≤ fast MA (pullback/weakness) • Blue: Bearish bias but thrust ≥ fast MA (bear rally/short squeeze) RSI on Diff: The indicator adds an RSI applied to Diff% to gauge momentum of the expansion/compression signal itself. Choose between Built-in RSI or a manual RMA-based computation, and optionally smooth it. Default OB/OS lines are 70/30. How it works: • Bollinger Bands (BB): Basis = selected MA of src (default SMA(20)); Width = StdDev × Mult (default 2.0) • Keltner Channels (KC): Basis = selected MA of src (default SMA(20)); Width = ATR(kcATR) × Mult (defaults 20 and 2.0) • Diff%: Safe division guards against division-by-zero • MA engine: Select SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Average Diff, and trend components (VWAP is session-anchored) • Calculation timeframe: Compute internals on a chosen TF via request.security() while viewing any chart TF Inputs (key): • Calculation timeframe: Empty = chart TF; set e.g., 60/240 to compute on that TF • BB: Length, StdDev Mult, MA Type • KC: Basis Length, ATR Length, Multiplier, MA Type • Average Diff: Length and MA Type • RSI on Diff: RSI Length, Method (Built-in or Manual RMA), Smoothing Length, OB/OS levels, show/hide • Trend Engine: Fast/Slow lengths & MA type, Signal (kept for completeness), Thrust MA length & type • Display/Visibility: Paint bars only when Diff > 0; show zero line; “true Blue” color toggle; show/hide Diff columns and Average Diff How to use: 1. Regime changes: Watch Diff% or Average Diff crossing 0. Above zero favors momentum/continuation setups; below zero suggests compression and potential breakout conditions. 2. State confirmation: During expansion (Diff > 0), prioritize Green/Red for aligned thrust; treat Yellow/Blue as cautionary/contrarian. 3. RSI on Diff: Use OB/OS and crossovers for timing entries/exits or for confirming/negating expansion strength. Alerts: • Diff crosses above/below 0 • Average Diff crosses above/below 0 • RSI(Diff) crosses above OB / below OS • State changes: GREEN / RED / YELLOW / BLUE Notes & limitations: • VWAP is session-anchored and best on intraday data. If not applicable on the selected calculation TF, the script automatically falls back to EMA. • Defaults (SMA(20) for BB/KC, multipliers 2.0, SMA(5) Average Diff, original trend coloring and bar painting) preserve the original appearance. • RSI on Diff is plotted in the same pane for a compact workflow; you can hide it or split into a separate indicator if desired. Release notes: v6.0 — Upgraded to Pine v6. Added multi-MA options (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP), calculation timeframe, RSI on Diff (Built-in or Manual RMA) with smoothing, safe division guard, optional zero line, and optional true Blue color. Defaults retain the original behavior. License / disclaimer: © waranyu.trkm — MIT License. Educational use only; not financial advice.
Pine Script® göstergesi
waranyutrkm tarafından
Reverse RSI Signals [AlgoAlpha]🟠 OVERVIEW This script introduces the Reverse RSI Signals system, an original approach that inverts traditional RSI values back into price levels and then overlays them directly on the chart as dynamic bands. Instead of showing RSI in a subwindow, the script calculates the exact price thresholds that correspond to common RSI levels (30/70/50) and displays them as upper, lower, and midline bands. These are further enhanced with an adaptive Supertrend filter and divergence detection, allowing traders to see overbought/oversold zones translated into actionable price ranges and trend signals. The script combines concepts of RSI inversion, volatility envelopes, and divergence tracking to provide a context-driven tool for spotting reversals and regime shifts. 🟠 CONCEPTS The script relies on inverting RSI math: by solving for the price that would yield a given RSI level, it generates real chart levels tied to oscillator conditions. These RSI-derived price bands act like support/resistance, adapting each bar as RSI changes. On top of this, a Supertrend built around the RSI midline introduces directional bias, switching regimes when the midline is breached. Regular bullish and bearish divergences are detected by comparing RSI pivots against price pivots, highlighting early reversal conditions. This layered approach means the indicator is not just RSI on price but a hybrid of oscillator translation, volatility-tracking midline envelopes, and divergence analysis. 🟠 FEATURES Inverted RSI bands: upper (70), lower (30), and midline (50), smoothed with EMA for noise reduction. Supertrend overlay on the RSI midline to confirm regime direction (bullish or bearish). Gradient-filled zones between outer and inner RSI bands to visualize proximity and exhaustion. Non-repainting bullish and bearish divergence markers plotted directly on chart highs/lows. 🟠 USAGE Apply the indicator to any chart and use the plotted RSI price bands as adaptive support/resistance. The midline defines equilibrium, while upper and lower bands represent classic RSI thresholds translated into real price action. In bullish regimes (green candles), long trades are stronger when price approaches or bounces from the lower band; in bearish regimes (red candles), shorts are favored near the upper band. Divergence markers (▲ for bullish, ▼ for bearish) flag potential reversal points early. Traders can combine the band proximity, divergence alerts, and Supertrend context to time entries, exits, or to refine ongoing trend trades. Adjust smoothing and Supertrend ATR settings to match the volatility of the instrument being analyzed.
Pine Script® göstergesi
AlgoAlpha tarafından
11
BRN TENDENCIAL (Alta / Baixa / Neutro) — com PerfisObjectively classify the market into 3 states: Bullish, Bearish, or Neutral. Classic Ribbon Detection: Bullish = MA1 > MA2 > MA3 > MA4 > MA5 > MA6 Bearish = MA1 < MA2 < MA3 < MA4 < MA5 < MA6 Neutral = when the alignment is not met (crossovers/disorder). Optional simple mode (toggle): consider only MA1 and MA6 (Bullish = MA1 > MA6, Bearish = MA1 < MA6). Pre-configured profiles (A/B/C) to recognize only large movements with one click. Full manual configuration: choose the type of average (SMA/EMA/HMA/VWMA) and the periods for each of the 6 MAs. Optional "big moves" filters: Minimum Ribbon width (%) to require "fan opening"; Minimum MA1 slope (%) to require strong direction. Clean visuals for quick reading: 6 Ribbon lines, background mask by state, optional bar color, and fill between MA1 and MA6. Trademark start markers (UP/DOWN/NEUTRAL) to identify transitions on the chart. Practical use: Serves as a trend filter for your strategies/signals (e.g., only trade Long on Highs, Short on Lows). Focus on controlled neutrality: With profiles and filters, it prioritizes Neutral in noise and only marks a trend when the movement is truly significant.
Pine Script® göstergesi
arqbrunobelinato tarafından
Multi Stoch + VWAP Heatmap + Histogram + ScalpingThis indicator was developed by referencing various indicators from many contributors. I apologize that I cannot identify all the original authors due to the numerous sources referenced. Thank you to everyone who contributed to the trading community. Important Notice: Please use this indicator with sufficient caution and proper risk management. I do not assume any responsibility for any losses incurred from using this indicator. Trade at your own risk. Alternative version: Acknowledgment & Disclaimer: This indicator incorporates ideas and concepts from numerous community indicators. I sincerely apologize for not being able to properly credit all the original creators due to the extensive references used. My heartfelt gratitude goes out to all the talented developers in the trading community. Risk Warning: Please exercise extreme caution when using this indicator. All trading involves substantial risk of loss, and I accept no liability for any financial losses that may result from the use of this indicator. Always implement proper risk management and trade responsibly. Multi Stoch + VWAP Heatmap + Histogram + Scalping Usage Guide 🔧 Basic Settings Parameter Settings (Recommended for XAU/USD) Fast Stoch Length: 5 # Ultra-short term trend Medium Stoch Length: 14 # Short term trend Slow Stoch Length: 21 # Medium term trend %K Smoothing: 2 # High sensitivity setting %D Smoothing: 2 # High sensitivity setting Overbought Level: 75 # Sell zone Oversold Level: 25 # Buy zone 📈 Reading the Chart 1. Histogram (Background Bar Chart) Green tones: Strong uptrend Red tones: Strong downtrend Gray: Trendless/neutral 2. Line Display Blue lines: Ultra-short term Stochastic (K1/D1) Orange lines: Short term Stochastic (K2/D2) Purple lines: Medium term Stochastic (K3/D3) Yellow line: VWAP (normalized) 3. Horizontal Lines Upper line (75): Sell zone Center line (50): Neutral line Lower line (25): Buy zone 🎯 Signal Types and Meanings Scalping Signals (● marks) Green ● (bottom): 📈 Scalp buy entry RSI(7) < 25 + K1 < 30 combination VWAP bounce targeting Red ● (top): 📉 Scalp sell entry RSI(7) > 75 + K1 > 70 combination VWAP rejection targeting Main Trend Signals ▲ (large, green): 💪 Strong buy signal - Multiple conditions aligned ▼ (large, red): 💪 Strong sell signal - Multiple conditions aligned △ (medium, green): 📈 Normal buy signal ▽ (medium, orange): 📉 Normal sell signal Warning/Reversal Signals ▼ (pink): ⚠️ Sell warning - Trend reversal caution △ (teal): ⚠️ Buy warning - Trend reversal caution Cross Signals (● marks, positioned up/down) Green ● (bottom): Histogram crosses above VWAP Red ● (top): Histogram crosses below VWAP 🚀 Practical Usage Scalping Strategy (1-5 minute charts recommended) Entry: Enter on green ● or red ● signals Take Profit: At opposite zone or next ● signal Stop Loss: Around 10-15 pips (for gold) Time Session: London-NY overlap optimal Swing Trading Strategy (15min-1hour charts) Entry: Strong ▲▼ signals Take Profit: Opposite warning signals (▼△) Stop Loss: VWAP reverse break or 30-50 pips Day Trading Strategy (5-15 minute charts) Trend Confirmation: Histogram color Entry: △▽ signals Take Profit: Opposite zone reached Stop Loss: 20-30 pips ⚡ XAU/USD Specific Usage Session-Based Strategy Tokyo Session (9-15 JST): Wait and see, small scalps London Session (16-24 JST): Main trading NY Session (22-6 JST): Most active, all signals valid Major News Events Pre-announcement: Reduce positions Post-announcement: Trend following with ● signals 🔍 Filter Functions ATR Filter Small price movements filtered as noise Signals only on significant price moves Time Filter Strong signals only during high volatility sessions Weaker signals during low volatility periods Consecutive Signal Prevention Duplicate signals within 2 bars filtered out Prevents noise trading ⚙️ Settings Customization For Aggressive Trading Signal Cooldown: 1 # More frequent signals ATR Length: 5 # More sensitive filter For Conservative Trading Signal Cooldown: 5 # Relaxed signals ATR Length: 20 # Stricter filter Overbought: 80 # More extreme levels Oversold: 20 📱 Recommended Alert Settings Strong Buy/Sell Signal: Priority ★★★ Scalping Buy/Sell Signal: Priority ★★☆ Reverse Warning: Priority ★★★ (for position management) ⚠️ Important Notes Scalping requires quick decision-making Multiple timeframe confirmation recommended Exercise caution during major news events Risk management is top priority This indicator is a versatile multi-functional tool suitable for short to medium-term trading strategies! 🎓 Trading Examples Scalping Example Wait for green ● at oversold level (below 30) Enter long position immediately Target: 50 level or red ● signal Stop: Below recent swing low Day Trading Example Histogram turns green (bullish trend) Wait for △ buy signal near support Target: Overbought level (75) Exit: Warning signal ▼ appears Risk Management Rules Never risk more than 2% per trade Use proper position sizing Set stops before entry Take partial profits at key levels This comprehensive guide will help you maximize the potential of this advanced multi-timeframe indicator!
Pine Script® göstergesi
okinawan21 tarafından
ATAI Volume Pressure Analyzer V 1.0 — Pure Up/DownATAI Volume Pressure Analyzer V 1.0 — Pure Up/Down Overview Volume is a foundational tool for understanding the supply–demand balance. Classic charts show only total volume and don’t tell us what portion came from buying (Up) versus selling (Down). The ATAI Volume Pressure Analyzer fills that gap. Built on Pine Script v6, it scans a lower timeframe to estimate Up/Down volume for each host‑timeframe candle, and presents “volume pressure” in a compact HUD table that’s comparable across symbols and timeframes. 1) Architecture & Global Settings Global Period (P, bars) A single global input P defines the computation window. All measures—host‑TF volume moving averages and the half‑window segment sums—use this length. Default: 55. Timeframe Handling The core of the indicator is estimating Up/Down volume using lower‑timeframe data. You can set a custom lower timeframe, or rely on auto‑selection: ◉ Second charts → 1S ◉ Intraday → 1 minute ◉ Daily → 5 minutes ◉ Otherwise → 60 minutes Lower TFs give more precise estimates but shorter history; higher TFs approximate buy/sell splits but provide longer history. As a rule of thumb, scan thin symbols at 5–15m, and liquid symbols at 1m. 2) Up/Down Volume & Derived Series The script uses TradingView’s library function tvta.requestUpAndDownVolume(lowerTf) to obtain three values: ◉ Up volume (buyers) ◉ Down volume (sellers) ◉ Delta (Up − Down) From these we define: ◉ TF_buy = |Up volume| ◉ TF_sell = |Down volume| ◉ TF_tot = TF_buy + TF_sell ◉ TF_delta = TF_buy − TF_sell A positive TF_delta indicates buyer dominance; a negative value indicates selling pressure. To smooth noise, simple moving averages of TF_buy and TF_sell are computed over P and used as baselines. 3) Key Performance Indicators (KPIs) Half‑window segmentation To track momentum shifts, the P‑bar window is split in half: ◉ C→B: the older half ◉ B→A: the newer half (toward the current bar) For each half, the script sums buy, sell, and delta. Comparing the two halves reveals strengthening/weakening pressure. Example: if AtoB_delta < CtoB_delta, recent buying pressure has faded. [ 4) HUD (Table) Display /i] Colors & Appearance Two main color inputs define the theme: a primary color and a negative color (used when Δ is negative). The panel background uses a translucent version of the primary color; borders use the solid primary color. Text defaults to the primary color and flips to the negative color when a block’s Δ is negative. Layout The HUD is a 4×5 table updated on the last bar of each candle: ◉ Row 1 (Meta): indicator name, P length, lower TF, host TF ◉ Row 2 (Host TF): current ↑Buy, ↓Sell, ΔDelta; plus Σ total and SMA(↑/↓) ◉ Row 3 (Segments): C→B and B→A blocks with ↑/↓/Δ ◉ Rows 4–5: reserved for advanced modules (Wings, α/β, OB/OS, Top 5) Advanced Modules 5.1 Wings “Wings” visualize volume‑driven movement over C→B (left wing) and B→A (right wing) with top/bottom lines and a filled band. Slopes are ATR‑per‑bar normalized for cross‑symbol/TF comparability and converted to angles (degrees). Coloring mirrors HUD sign logic with a near‑zero threshold (default ~3°): ◉ Both lines rising → blue (bullish) ◉ Both falling → red (bearish) ◉ Mixed/near‑zero → gray Left wing reflects the origin of the recent move; right wing reflects the current state. 5.2 α / β at Point B We compute the oriented angle between the two wings at the midpoint B: β is the bottom‑arc angle; α = 360° − β is the top‑arc angle. ◉ Large α (>180°) or small β (<180°) flags meaningful imbalance. ◉ Intuition: large α suggests potential selling pressure; small β implies fragile support. HUD cells highlight these conditions. 5.3 OB/OS Spike OverBought/OverSold (OB/OS) labels appear when directional volume spikes align with a 7‑oscillator vote (RSI, Stoch, %R, CCI, MFI, DeMarker, StochRSI). ◉ OB label (red): unusually high sell volume + enough OB votes ◉ OS label (teal): unusually high buy volume + enough OS votes Minimum votes and sync window are user‑configurable; dotted connectors can link labels to the candle wick. 5.4 Top3 Volume Peaks Within the P window the script ranks the top three BUY peaks (B1–B3) and top three SELL peaks (S1–S3). ◉ B1 and S1 are drawn as horizontal resistance (at B1 High) and support (at S1 Low) zones with adjustable thickness (ticks/percent/ATR). ◉ The HUD dedicates six cells to show ↑/↓/Δ for each rank, and prints the exact High (B1) and Low (S1) inline in their cells. 6) Reading the HUD — A Quick Checklist ◉ Meta: Confirm P and both timeframes (host & lower). ◉ Host TF block: Compare current ↑/↓/Δ against their SMAs. ◉ Segments: Contrast C→B vs B→A deltas to gauge momentum change. ◉ Wings: Right‑wing color/angle = now; left wing = recent origin. ◉ α / β: Look for α > 180° or β < 180° as imbalance cues. ◉ OB/OS: Note labels, color (red/teal), and the vote count. ◉Top3: Keep B1 (resistance) and S1 (support) on your radar. Use these together to sketch scenarios and invalidation levels; never rely on a single signal in isolation. [ 7) Example Highlights (What the table conveys) /i] ◉ Row 1 shows the indicator name, the analysis length P (default 55), and both TFs used for computation and display. ◉ B1 / S1 blocks summarize each side’s peak within the window, with Δ indicating buyer/seller dominance at that peak and inline price (B1 High / S1 Low) for actionable levels. ◉ Angle cells for each wing report the top/bottom line angles vs. the horizontal, reflecting the directional posture. ◉ Ranks B2/B3 and S2/S3 extend context beyond the top peak on each side. ◉ α / β cells quantify the orientation gap at B; changes reflect shifting buyer/seller influence on trend strength. Together these visuals often reveal whether the “wings” resemble a strong, upward‑tilted arm supported by buyer volume—but always corroborate with your broader toolkit 8) Practical Tips & Tuning ◉ Choose P by market structure. For daily charts, 34–89 bars often works well. ◉ Lower TF choice: Thin symbols → 5–15m; liquid symbols → 1m. ◉ Near‑zero angle: In noisy markets, consider 5–7° instead of 3°. ◉ OB/OS votes: Daily charts often work with 3–4 votes; lower TFs may prefer 4–5. ◉ Zone thickness: Tie B1/S1 zone thickness to ATR so it scales with volatility. ◉ Colors: Feel free to theme the primary/negative colors; keep Δ<0 mapped to the negative color for readability. Combine with price action: Use this indicator alongside structure, trendlines, and other tools for stronger decisions. Technical Notes Pine Script v6. ◉ Up/Down split via TradingView/ta library call requestUpAndDownVolume(lowerTf). ◉ HUD‑first design; drawings for Wings/αβ/OBOS/Top3 align with the same sign/threshold logic used in the table. Disclaimer: This indicator is provided solely for educational and analytical purposes. It does not constitute financial advice, nor is it a recommendation to buy or sell any security. Always conduct your own research and use multiple tools before making trading decisions.
Pine Script® göstergesi
ata_sabanci tarafından
1
ST-Stochastic DashboardST-Stochastic Dashboard: User Manual & Functionality 1. Introduction The ST-Stochastic Dashboard is a comprehensive tool designed for traders who utilize the Stochastic Oscillator. It combines two key features into a single indicator: A standard, fully customizable Stochastic Oscillator plotted directly on your chart. A powerful Multi-Timeframe (MTF) Dashboard that shows the status of the Stochastic %K value across three different timeframes of your choice. This allows you to analyze momentum on your current timeframe while simultaneously monitoring for confluence or divergence on higher or lower timeframes, all without leaving your chart. Disclaimer: In accordance with TradingView's House Rules, this document describes the technical functionality of the indicator. It is not financial advice. The indicator provides data based on user-defined parameters; all trading decisions are the sole responsibility of the user. Past performance is not indicative of future results. 2. How It Works (Functionality) The indicator is divided into two main components: A. The Main Stochastic Indicator (Chart Pane) This is the visual representation of the Stochastic Oscillator for the chart's current timeframe. %K Line (Blue): This is the main line of the oscillator. It shows the current closing price in relation to the high-low range over a user-defined period. A high value means the price is closing near the top of its recent range; a low value means it's closing near the bottom. %D Line (Black): This is the signal line, which is a moving average of the %K line. It is used to smooth out the %K line and generate trading signals. Overbought Zone (Red Area): By default, this zone is above the 75 level. When the Stochastic lines are in this area, it indicates that the asset may be "overbought," meaning the price is trading near the peak of its recent price range. Oversold Zone (Blue Area): By default, this zone is below the 25 level. When the Stochastic lines are in this area, it indicates that the asset may be "oversold," meaning the price is trading near the bottom of its recent price range. Crossover Signals: Buy Signal (Blue Up Triangle): A blue triangle appears below the candles when the %K line crosses above the Oversold line (e.g., from 24 to 26). This suggests a potential shift from bearish to bullish momentum. Sell Signal (Red Down Triangle): A red triangle appears above the candles when the %K line crosses below the Overbought line (e.g., from 76 to 74). This suggests a potential shift from bullish to bearish momentum. B. The Multi-Timeframe Dashboard (Table on Chart) This is the informational table that appears on your chart. Its purpose is to give you a quick, at-a-glance summary of the Stochastic's condition on other timeframes. Function: The script uses TradingView's request.security() function to pull the %K value from three other timeframes that you specify in the settings. Efficiency: The table is designed to update only on the last (most recent) bar (barstate.islast) to ensure the script runs efficiently and does not slow down your chart. Columns: Timeframe: Displays the timeframe you have selected (e.g., '5', '15', '60'). Stoch %K: Shows the current numerical value of the %K line for that specific timeframe, rounded to two decimal places. Status: Interprets the %K value and displays a clear status: OVERBOUGHT (Red Background): The %K value is above the "Upper Line" setting. OVERSOLD (Blue Background): The %K value is below the "Lower Line" setting. NEUTRAL (Black/Dark Background): The %K value is between the Overbought and Oversold levels. 3. Settings / Parameters in Detail You can access these settings by clicking the "Settings" (cogwheel) icon on the indicator name. Stochastic Settings This group controls the behavior and appearance of the main Stochastic indicator plotted in the pane. Stochastic Period (length) Description: This is the lookback period used to calculate the Stochastic Oscillator. It defines the number of past bars to consider for the high-low range. Default: 9 %K Smoothing (smoothK) Description: This is the moving average period used to smooth the raw Stochastic value, creating the %K line. A higher value results in a smoother, less sensitive line. Default: 3 %D Smoothing (smoothD) Description: This is the moving average period applied to the %K line to create the %D (signal) line. A higher value creates a smoother signal line that lags further behind the %K line. Default: 6 Lower Line (Oversold) (ul) Description: This sets the threshold for the oversold condition. When the %K line is below this value, the dashboard will show "OVERSOLD". It is also the level the %K line must cross above to trigger a Buy Signal triangle. Default: 25 Upper Line (Overbought) (ll) Description: This sets the threshold for the overbought condition. When the %K line is above this value, the dashboard will show "OVERBOUGHT". It is also the level the %K line must cross below to trigger a Sell Signal triangle. Default: 75 Dashboard Settings This group controls the data and appearance of the multi-timeframe table. Timeframe 1 (tf1) Description: The first timeframe to be displayed in the dashboard. Default: 5 (5 minutes) Timeframe 2 (tf2) Description: The second timeframe to be displayed in the dashboard. Default: 15 (15 minutes) Timeframe 3 (tf3) Description: The third timeframe to be displayed in the dashboard. Default: 60 (1 hour) Dashboard Position (table_pos) Description: Allows you to select where the dashboard table will appear on your chart. Options: top_right, top_left, bottom_right, bottom_left Default: bottom_right 4. How to Use & Interpret Configuration: Adjust the Stochastic Settings to match your trading strategy. The default values (9, 3, 6) are common, but feel free to experiment. Set the Dashboard Settings to the timeframes that are most relevant to your analysis (e.g., your entry timeframe, a medium-term timeframe, and a long-term trend timeframe). Analysis with the Dashboard: The primary strength of this tool is confluence. Look for situations where multiple timeframes align. For example: If the dashboard shows OVERSOLD on the 15-minute, 60-minute, and your current 5-minute chart, a subsequent Buy Signal on your 5-minute chart may carry more weight. Conversely, if your 5-minute chart shows OVERSOLD but the 60-minute chart is strongly OVERBOUGHT, it could indicate that you are looking at a minor pullback in a larger downtrend. Interpreting States: Overbought is not an automatic "sell" signal. It simply means momentum has been strong to the upside, and the price is near its recent peak. It could signal a potential reversal, but the price can also remain overbought for extended periods in a strong uptrend. Oversold is not an automatic "buy" signal. It means momentum has been strong to the downside. While it can signal a potential bounce, prices can remain oversold for a long time in a strong downtrend. Use the signals and dashboard states as a source of information to complement your overall trading strategy, which should include other forms of analysis such as price action, support/resistance levels, or other indicators.
Pine Script® göstergesi
SESE04 tarafından
Advanced Trend Momentum [Alpha Extract]The Advanced Trend Momentum indicator provides traders with deep insights into market dynamics by combining exponential moving average analysis with RSI momentum assessment and dynamic support/resistance detection. This sophisticated multi-dimensional tool helps identify trend changes, momentum divergences, and key structural levels, offering actionable buy and sell signals based on trend strength and momentum convergence. 🔶 CALCULATION The indicator processes market data through multiple analytical methods: Dual EMA Analysis: Calculates fast and slow exponential moving averages with dynamic trend direction assessment and ATR-normalized strength measurement. RSI Momentum Engine: Implements RSI-based momentum analysis with enhanced overbought/oversold detection and momentum velocity calculations. Pivot-Based Structure: Identifies and tracks dynamic support and resistance levels using pivot point analysis with configurable level management. Signal Integration: Combines trend direction, momentum characteristics, and structural proximity to generate high-probability trading signals. Formula: Fast EMA = EMA(Close, Fast Length) Slow EMA = EMA(Close, Slow Length) Trend Direction = Fast EMA > Slow EMA ? 1 : -1 Trend Strength = |Fast EMA - Slow EMA| / ATR(Period) × 100 RSI Momentum = RSI(Close, RSI Length) Momentum Value = Change(Close, 5) / ATR(10) × 100 Pivot Support/Resistance = Dynamic pivot arrays with configurable lookback periods Bullish Signal = Trend Change + Momentum Confirmation + Strength > 1% Bearish Signal = Trend Change + Momentum Confirmation + Strength > 1% 🔶 DETAILS Visual Features: Trend EMAs: Fast and slow exponential moving averages with dynamic color coding (bullish/bearish) Enhanced RSI: RSI oscillator with color-coded zones, gradient fills, and reference bands at overbought/oversold levels Trend Fill: Dynamic gradient between EMAs indicating trend strength and direction Support/Resistance Lines: Horizontal levels extending from pivot-based calculations with configurable maximum levels Momentum Candles: Color-coded candlestick overlay reflecting combined trend and momentum conditions Divergence Markers: Diamond-shaped signals highlighting bullish and bearish momentum divergences Analysis Table: Real-time summary of trend direction, strength percentage, RSI value, and momentum reading Interpretation: Trend Direction: Bullish when Fast EMA crosses above Slow EMA with strength confirmation Trend Strength > 1%: Strong trending conditions with institutional participation RSI > 70: Overbought conditions, potential selling opportunity RSI < 30: Oversold conditions, potential buying opportunity Momentum Divergence: Price and momentum moving opposite directions signal potential reversals Support/Resistance Proximity: Dynamic levels provide optimal entry/exit zones Combined Signals: Trend changes with momentum confirmation generate high-probability opportunities 🔶 EXAMPLES Trend Confirmation: Fast EMA crossing above Slow EMA with trend strength exceeding 1% and positive momentum confirms strong bullish conditions. Example: During institutional accumulation phases, EMA crossovers with momentum confirmation have historically preceded significant upward moves, providing optimal long entry points. 15min 4H Momentum Divergence Detection: RSI reaching overbought levels while momentum decreases despite rising prices signals potential trend exhaustion. Example: Bearish divergence signals appearing at resistance levels have marked major market tops, allowing traders to secure profits before corrections. Support/Resistance Integration: Dynamic pivot-based levels combined with trend and momentum signals create high-probability trading zones. Example: Bullish trend changes occurring near established support levels offer optimal risk-reward entries with clearly defined stop-loss levels. Multi-Dimensional Confirmation: The indicator's combination of trend, momentum, and structural analysis provides comprehensive market validation. Example: When trend direction aligns with momentum characteristics near key structural levels, the confluence creates institutional-grade trading opportunities with enhanced probability of success. 🔶 SETTINGS Customization Options: Trend Analysis: Fast EMA Length (default: 12), Slow EMA Length (default: 26), Trend Strength Period (default: 14) Support & Resistance: Pivot Length for level detection (default: 10), Maximum S/R Levels displayed (default: 3), Toggle S/R visibility Momentum Settings: RSI Length (default: 14), Oversold Level (default: 30), Overbought Level (default: 70) Visual Configuration: Color schemes for bullish/bearish/neutral conditions, transparency settings for fills, momentum candle overlay toggle Display Options: Analysis table visibility, divergence marker size, alert system configuration The Advanced Trend Momentum indicator provides traders with comprehensive insights into market dynamics through its sophisticated integration of trend analysis, momentum assessment, and structural level detection. By combining multiple analytical dimensions into a unified framework, this tool helps identify high-probability opportunities while filtering out market noise through its multi-confirmation approach, enabling traders to make informed decisions across various market cycles and timeframes.
Pine Script® göstergesi
AlphaExtract tarafından
3
FUMO 200 MagnetWhat it does FUMO Magnet measures how far price has stretched away from its long-term “magnet” — a blended EMA/SMA moving average (200 by default). It plots a logarithmic deviation (optionally normalized) as an oscillator around zero. Above 0** → price is above the magnet (stretched up) Below 0** → price is below the magnet (stretched down) Guide levels** highlight potential overbought/oversold zones --- Why log deviation? Log returns make extremes comparable across cycles and compress exponential trends — especially useful for BTC and other crypto assets. Normalization modes further adjust the scale, keeping the oscillator readable on any chart. --- Inputs **Base** * Source (default: Close) * Base Length (default: 200 EMA/SMA) * EMA vs SMA weight (%) — 0% = pure SMA, 100% = pure EMA, 50% = blended * EMA smoothing of deviation — acts as a noise filter **Normalization** * None (Log Deviation) — raw log stretch in % terms * Z-score — deviation in standard deviations (σ) * Robust Z (MAD) — deviation vs median absolute deviation, resistant to outliers * Tanh squash — smooth nonlinear squash of extremes for compact scale * Normalization window (for Z / MAD) * Tanh scale (lower = stronger squash) * Clamp after normalization — hard cap at ±X **Levels** * Guide levels (Upper / Lower) — visual thresholds (default ±12) * Zero line toggle --- ### How to read it * **Trend bias**: sustained time above 0 = uptrend, below 0 = downtrend * **Stretch / mean reversion**: the farther from 0, the higher the reversion risk * **Cross-checks**: combine with structure (HH/HL, LH/LL), volume, or momentum (RSI, MACD) --- ### Recommended settings by timeframe **Long-term (1D / 1W)** * Normalization: None (Log Deviation) * Base Length: 200 * EMA vs SMA weight: 50% (adjust 35–65% for faster/slower magnet) * Deviation smoothing: 20 (10–30 range) * Guide levels: ±12 to ±20 * Use case: cycle extremes, portfolio rebalancing, trim/add logic **Swing (4H – 1D)** * Normalization: Z-score * Window: 200 (100–250) * Smoothing: 14–20 * Guide levels: ±2σ to ±3σ * Use case: stretched conditions across regimes; ±3σ is rare, often mean-reverts **Intraday / Active swing (1H – 4H)** * Normalization: Robust Z (MAD) * Window: 200 (150 for faster response) * Smoothing: 10–16 * Guide levels: ±3 to ±4 (robust units) * Use case: handles spikes better than σ, fewer false overbought/oversold signals **Scalping / Universal readability (15m – 1H)** * Normalization: Tanh squash * Tanh scale: 6–10 (start with 8) * Smoothing: 8–12 * Guide levels: ±8 to ±12 * Use case: compact panel across assets and timeframes; not % or σ, but visually consistent --- ### Optional * Clamp: enable ±20 (or ±25) for strict bounded range (useful for public charts) --- ### Quick setups **BTC Daily (“cycle view”)** * Normalization: None * Blend: 50% * Smooth: 20 * Levels: ±12–15 **BTC 4H (“swing”)** * Normalization: Z-score * Window: 200 * Smooth: 16 * Levels: ±2.5σ to ±3σ **Alts 1H (“volatile”)** * Normalization: Robust Z (MAD) * Window: 200 * Smooth: 12 * Levels: ±3.5 to ±4.5 **Mixed assets 15m (“compact panel”)** * Normalization: Tanh squash * Scale: 8 * Smooth: 10 * Levels: ±8–12 * Clamp: ±20
Pine Script® göstergesi
deerHunter2049 tarafından
SMA+MACD+RSI+Stoch Entry📌 Tools Used: • SMA 21, SMA 50, SMA 200 • MACD (12, 26, 9) • Pivot Point Standard • RSI (length 75) • Stochastic (14, 3, 3) Trading Timeframe: • Usable on all timeframes Chart Preparation: • Analyze the overall market trend and the instrument being traded • Set an appropriate timeframe according to the market • Apply SMA 21, SMA 50, SMA 200 • Apply MACD and Pivot Point Standard • Ensure a proper market trend by checking the position of SMA 21, SMA 50, and SMA 200 relative to each other If there are too many crossings between SMA 21, SMA 50, and SMA 200, do not enter any trades until the market trend stabilizes Conditions for Entering a Long Trade (Bullish Trigger): • Candle closes above the pivot line • Confirm an uptrend by checking that SMA 21 is above SMA 50, and SMA 50 is above SMA 200 • RSI is above the midpoint • Presence of a suitable corrective step with normal slope, considering the strength of the previous step • MACD histogram indicates bullish momentum • Stochastic shows a bullish crossover from below Conditions for Entering a Short Trade (Bearish Trigger): • Candle closes below the pivot line • Confirm a downtrend by checking that SMA 21 is below SMA 50, and SMA 50 is below SMA 200 • RSI is below the midpoint • Presence of a suitable corrective step with normal slope, considering the strength of the previous step • MACD histogram indicates bearish momentum • Stochastic shows a bearish crossover from above
Pine Script® göstergesi
Daragolbon tarafından
2
Advanced RSI — Mark 4 RSI was introduced by J. Welles Wilder Jr. in 1978 in New Concepts in Technical Trading Systems. It measures the velocity of gains vs. losses on a bounded 0–100 scale and popularized the 14-period lookback with 70/30 guide rails for overbought/oversold. Over time, traders added variations (different lengths, thresholds, smoothing, adaptive levels), but the core idea stayed the same: momentum turns often precede price turns. and i initially started to make minor adjustments for personal use like changing the default to 17 , and using Tradingviews official RSI which comes with a MA embedded. but it was not enough. especially the visuals. so, for this public release Mark 4 i enhanced RSI by incorporating : 1. Dual-Length Fusion Two RSI periods (default 17 + 21) blended then lightly smoothed (TEMA by default) → steadier line without dulling turns. 2. Adaptive OB/OS (ATR-aware) for fewer whipsaws. 3. OB/OS alt solution: Brief yellow segments appear only at local extremes (default: >72 tops, <32 bottoms) to emphasize exhaustion without repainting the whole line. 4. Signals you can actually see Triangle markers for: Bullish: RSI crossing up through adaptive OS (and still <40 at the cross). Bearish: RSI crossing down through adaptive OB (and still >60 at the cross). “Strong Bull/Bear” background nudges appear when momentum is pushing beyond the bands. Optional Divergence Tags and Tiny diamonds to flag potential bullish/bearish divergences (look-back based). Info Table (can be hidden) my Fav feature i included 5 colorways with modern themes.(pls check under INPUTS) and i made all that to make the indicator visualization look awesome on high end displays. Credits & acknowledgment Inspired by the original RSI by J. Welles Wilder Jr. (1978). Built to be modern, focused, and comfortable for long sessions—especially on dark/OLED displays. THIS INDICATOR IS MORE THAN ENOUGH BUT I DO HAVE PRIVATE INDICATORS WITH DIFFERENT LOGIC FUNCTIONS. I'm open for feedback/collaboration. drsamc.
Pine Script® göstergesi
Drsamc tarafından