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Analisis Trend

The Maker StrategyDESCRIPTION The Maker Strategy is a trend-following system built around exponential moving averages (EMAs). By analyzing the alignment of multiple EMAs, the strategy identifies strong bullish or bearish momentum and generates precise entry signals. This method is designed to capture sustained trends while filtering out sideways or noisy market conditions. USER INPUTS : • EMA 1 Length (Default: 30) • EMA 2 Length (Default: 35) • EMA 3 Length (Default: 40) • EMA 4 Length (Default: 45) • EMA 5 Length (Default: 50) • EMA 6 Length (Default: 60) LONG CONDITION : A long signal is triggered when all EMAs are perfectly aligned in ascending order: EMA1 > EMA2 > EMA3 > EMA4 > EMA5 > EMA6 SHORT CONDITION : A short signal is triggered when all EMAs are perfectly aligned in descending order: EMA1 < EMA2 < EMA3 < EMA4 < EMA5 < EMA6 WHY IT IS UNIQUE: Unlike traditional EMA crossover systems that rely on just 2 or 3 moving averages, The Maker Strategy uses 6 EMAs in sequence. This ensures that trades are only taken when there is clear and strong market momentum. The approach minimizes false signals in ranging markets and focuses on capturing trends with higher probability setups. HOW USER CAN BENEFIT FROM IT : • Clear entry alerts for both long and short positions. • Visual confirmation through candle coloring and EMA band fills. • Works on multiple timeframes and instruments (stocks, forex, crypto, indices). • Helps traders stay on the right side of the trend while avoiding whipsaws. • A simple yet effective tool for those who want a disciplined, rules-based strategy.
Penunjuk Pine Script®
oleh Shivam_Mandrai
Trendline Breakout Strategy [KedArc Quant] Description A single, rule-based system that builds two trendlines from confirmed swing pivots and trades their breakouts, with optional retest, trend-regime gates (EMA / HTF EMA), and ATR-based risk. All parts serve one decision flow: structure → breakout → gated entry → managed risk. What it does (for traders) Draws Up line (teal) through the last two Higher Lows and Down line (red) through the last two Lower Highs, then extends them forward. Long when price breaks above red; Short when price breaks below teal. Optional Retest entry: after a break, wait for a pullback toward the broken line within an ATR-scaled buffer. Uses ATR stop and R-multiple target so risk is consistent across symbols/timeframes. Labels HL1/HL2/LH1/LH2 so non-coders can verify which pivots built each line. Why these components are combined Pure breakout systems on trendlines suffer from three practical issues: False breaks in chop → solved by trend-regime gates (EMA / HTF EMA) that only allow trades aligned with the prevailing trend. Uneven volatility across markets/timeframes → solved by ATR-based stop/target, normalizing distance so R-multiples are comparable. First break whipsaws near wedge apices → mitigated by the optional retest rule that demands a pullback/hold before entry. These modules are not separate indicators with their own signals. They are support roles inside one method. The pivot engine defines structure, the breakout detector defines signal, the regime gates decide if we’re allowed to take that signal, and the ATR module sizes risk. Together they make the trendline breakout usable, testable, and explainable. How it works (mechanism; each component explained) 1) Pivot engine (structure, non-repainting) Swings are confirmed with ta.pivotlow/high(L, R). A pivot only exists after R bars (no look-ahead), so once plotted, the line built from those pivots will not repaint. 2) Trendline builder (geometry) Teal line updates when two consecutive pivot lows satisfy HL2.price > HL1.price (and HL2 occurs after HL1). Red line updates when two consecutive pivot highs satisfy LH2.price < LH1.price. Lines are extended right and their current value is read every bar via line.get_price(). 3) Breakout detector (signal) On every bar, compute: crossover(close, redLine) ⇒ Long breakout crossunder(close, tealLine) ⇒ Short breakdown 4) Regime gates (trend filters, not separate signals) EMA gate: allow longs only if close > EMA(len), shorts only if close < EMA(len). HTF EMA gate (optional): same rule on a higher timeframe to avoid fighting the larger trend. These do not create entries; they simply permit or block the breakout signal. 5) Retest module (optional confirmation) After a breakout, record the line price. A valid retest occurs if price pulls back within an ATR-scaled buffer toward that broken line and then closes back in the breakout direction. This reduces first-tick fakeouts. 6) Risk module (position exit) Initial stop = ATR(len) × atrMult from entry. Target = tpR × (ATR × atrMult) (e.g., 2R). This keeps results consistent across instruments/timeframes. Entries & exits Long entry Base: close breaks above red and passes EMA/HTF gates. Retest (if enabled): after the break, price pulls back near the broken red line (within the ATR buffer) and holds; then enter. Short entry Mirror logic with teal (break below & gates), optionally with a retest. Exit strategy.exit places ATR stop & R-multiple target automatically. Optional “flip”: close if the opposite base signal triggers. How to use it (step-by-step) Timeframe: 1–15m for intraday, 1–4h for swing. Start defaults: Pivot L/R = 5, EMA len = 200, ATR len = 14, ATR mult = 2, TP = 2R, Retest = ON. Tune sensitivity: Faster lines (more trades): set L/R = 3–4. Fewer counter-trend trades: enable HTF EMA (e.g., 60-min or Daily). Visual audit: labels HL1/HL2 & LH1/LH2 show which pivots built each line—verify by eye. Alerts: use Long breakout, Short breakdown, and Retest alerts to automate. Originality (why it merits publication) Trades the visualization: many “auto-trendline” tools only draw lines; this one turns them into testable, alertable rules. Integrated design: each component has a defined role in the same pipeline—no unrelated indicators bolted together. Transparent & non-repainting: pivot confirmation removes look-ahead; labels let non-coders understand the setup that produced each signal. Notes & limitations Lines update only after pivot confirmation; that lag is intentional to avoid repainting. Breakouts near an apex can whipsaw; prefer Retest and/or HTF gate in choppy regimes. Backtests are idealized; forward-test and size risk appropriately. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Strategi Pine Script®
oleh kedarcquant
Bitcoin Cycles IndicatorTrack Bitcoin's cyclical price patterns across multiple timeframes with this cycle analysis tool. The indicator automatically identifies cycle lows and highs, marking them with clear visual labels that show cycle day counts and failed cycle detection. Key Features: Multi-Time frame Support - Optimized settings for Daily, Weekly, Monthly, and Custom time frames Cycle Tracking - Identifies and labels cycle lows (green) and highs (red) with day counts Failed Cycle Detection - Highlights when cycles break below previous lows Customizable Settings - Adjust cycle lengths, colors, and display options for each timeframe Info Box - Real-time cycle information display with current cycle day count Projection Boxes - Visual cycle length projections for better analysis Perfect for Bitcoin traders and analysts who want to understand market cycles and timing. Works best on Daily charts for short-term cycles and Weekly/Monthly charts for longer-term analysis.
Penunjuk Pine Script®
oleh dirtpupfc
Fractal Model (TTrades)Fractal Model - Higher Timeframe Analysis with TTFM Labeling A higher timeframe candle visualization tool enhanced with TTFM (The Fractal Model) labeling system for pivot-based price action analysis, made popular by Youtuber TTrades What This Script Does: This indicator displays higher timeframe candles on your current chart and identifies key pivot formations using the TTFM labeling system. It helps traders understand market structure and potential reversal points through systematic pivot analysis. Key Features: Higher Timeframe Visualization : Shows HTF candles without switching timeframes TTFM Labeling System : Identifies pivot components with C2, C3, and C4 labels T-Spot Detection : Marks areas where price is likely to form wicks based on pivot logic Sweep Confirmation : Detects when price sweeps previous levels but closes opposite Fair Value Gap Detection : Identifies imbalance zones between candle ranges Alert System : Sends alerts when T-spot formations are confirmed using pivot logic Silver T-Spot Alerts : Special alerts during specific market hours How TTFM Labeling Works: The TTFM system labels pivot formations based on their structure: C2 : The candle that "sticks out" - the initial move that creates the pivot C3 / C4 : The distribution candle that continues the reversal (standard pivots) Alert System: The indicator provides alerts when: T-spot formations are created and confirmed Price sweeps tspot levels with proper confirmation (This signal tries to alert you when a potential wick has formed in the tspot location Silver T-spot patterns occur during specific market hours T-spot sweep confirmations are triggered Practical Usage: Add the indicator to your chart Watch for T-spot formations (highlighted zones) Look for C2, C3, C4 labels to understand pivot structure Use sweep confirmations for entry timing Set up alerts for T-spot confirmations and sweeps Technical Implementation: Logarithmic Midpoint Calculation: The T-spot levels are calculated using logarithmic midpoint analysis: Log Values : log_high = ln(high), log_low = ln(low), log_open = ln(open), log_close = ln(close) Wick Analysis : upper_wick = log_high - max(log_open, log_close), lower_wick = min(log_open, log_close) - log_low Body Size : body_size = |log_close - log_open| Midpoint Logic : If max(upper_wick, lower_wick) > body_size, use wick-based midpoint; otherwise use (log_high + log_low)/2 Final Level : T-spot level = exp(log_mid_level) T-Spot Formation Conditions: Standard Bearish : last_closed.h > prev_closed.h AND last_closed.c < prev_closed.h Standard Bullish : last_closed.l < prev_closed.l AND last_closed.c > prev_closed.l Expansive Bearish : prev_closed.h > prev_prev_closed.h AND last_closed.c < max(prev_closed.o, prev_closed.c) Expansive Bullish : prev_closed.l < prev_prev_closed.l AND last_closed.c > min(prev_closed.o, prev_closed.c) Pro-trend Bearish : last_closed.h > mid_level AND last_closed.h < prev_closed.o AND last_closed.c < prev_closed.l Pro-trend Bullish : last_closed.l < mid_level AND last_closed.l > prev_closed.o AND last_closed.c > prev_closed.h Sweep Confirmation Logic: Pivot Detection : Uses ta.pivothigh(high, 1, 2) and ta.pivotlow(low, 1, 2) Touch Detection : Price must touch T-spot level (high > level OR open > level) AND close opposite Confirmation Requirements : Pivot must form before touch, close must break beyond pivot level Alert Trigger : Sweep confirmed when all conditions are met Silver T-Spot Conditions: Special T-spots during specific market hours (4th-5th candle of day or 4th candle after 1PM ET) with additional confirmation requirements. HTF Auto-Detection: Automatically selects appropriate higher timeframes: 1m→15m, 3m→30m, 5m→1h, 15m→4h, 30m-1h→1D, 4h-8h→1W, 1D→1M. Based on HTF Candles by Fadi, enhanced with T-spot detection, sweep logic, TTFM labeling system, and comprehensive alert functionality. Note: This tool is for educational purposes and should be used in conjunction with proper risk management and market analysis.
Penunjuk Pine Script®
oleh mindyourbuisness
1
Heikin FlowHeikin Flow by Ben Deharde, 2025 Overview Heikin Flow is a trend and momentum oscillator built on a smoothed reverse-Heikin-Ashi baseline. It quantifies the distance between price and this baseline, then colors the histogram to reflect both direction and acceleration/deceleration. Use it standalone to read trend energy and shifts, or pair it with Heikin Rider for momentum-aware breakout confirmation. What It Does Computes a reverse-HA baseline and optionally smooths it with a selectable MA. Plots a histogram of distance (price minus baseline) to visualize directional pressure. Colors the histogram by trend state (above/below baseline) and momentum (accelerating vs. decelerating). Provides alerts on zero-line crosses to spotlight potential momentum regime changes. The histogram also helps to spot divergence between price and momentum (e.g., price making new highs while the histogram weakens). How It Works Reverse-HA Baseline Heikin Flow derives a “reverse close” value from Heikin Ashi context (using prior HA open/close with current bar range) to capture underlying pressure. This value is range-bounded to avoid extremes, then optionally smoothed. The resulting line acts as a soft directional baseline. Smoothing (Noise Control) Choose SMA/EMA/HMA/VWMA/RMA and a length to control baseline responsiveness. Shorter lengths react faster, longer lengths emphasize trend consistency by filtering noise—useful when pairing with breakout tools like Rider. Trend & Momentum Logic Trend: If price is above the baseline, the environment is considered uptrend; below indicates downtrend. Momentum: The change in distance bar-to-bar distinguishes acceleration (growing distance) from deceleration (shrinking distance). This dual readout helps you see not just direction, but the quality of that direction—strong push vs. weakening move. Coloring (Aligned with Heikin Rider Palette) Deep Blue: Uptrend & accelerating Light Blue: Uptrend & decelerating Deep Red: Downtrend & accelerating Soft Orange: Downtrend & decelerating This mirrors the palette logic from Heikin Rider for immediate visual consistency across the suite. How to use Read the histogram above/below zero (price–baseline) as directional bias; watch color changes for momentum context. Use zero-line crosses as momentum regime shifts; confirm with price action or Heikin Rider breakout signals. Watch for divergence between price action and the histogram as an early clue of weakening moves. Adjust smoothing method/length to fit your market and timeframe—faster for scalping, slower to highlight sustained trends. Inputs Smoothing Type & Length for the baseline (SMA/EMA/HMA/VWMA/RMA) Info Box toggles (display and formatting) Live Mode option for real-time vs. confirmed-bar behavior (avoids inadvertent lookahead) Originality Heikin Flow adapts the HA-driven methodology to an oscillator that focuses on distance-to-baseline and momentum quality, using a reverse-HA construction and flexible MA smoothing—complementing Heikin Rider’s smoothed HA envelope breakout design for a cohesive, momentum-aware workflow. Alerts Bullish Heikin Flow Cross — distance crosses above 0 (on bar close) Bearish Heikin Flow Cross — distance crosses below 0 (on bar close)
Penunjuk Pine Script®
oleh BenDeharde
Adaptive Log Trend ChannelOne-line Summary / 一句话简介 EN: Adaptive log-scale trend channel using Pearson-optimized regression and deviation bands. 中文：基于皮尔逊优化回归的自适应对数趋势通道，带标准差波动带。 Full Description / 完整介绍 What it does / 功能 EN: This indicator fits a log-linear regression to price and builds a trend channel with ±k·σ deviation bands. It automatically selects the period with the highest Pearson correlation (R), ensuring the channel best matches the dominant market trend. 中文：该指标通过价格的对数线性回归拟合趋势，并在中线上下绘制 ±k·σ 偏差通道。它会自动选择皮尔逊相关系数 (R) 最高的周期，从而保证通道与主要趋势最贴合。 Why it’s useful / 适用价值 EN: Naturally fits assets with multiplicative growth (crypto, tech stocks). Adapts dynamically to different market regimes. Provides CAGR estimates on Daily/Weekly charts for trend strength evaluation. 中文： 自然适用于呈现乘法增长的资产（如加密货币与科技股）。 可动态适应不同的市场阶段。 在日线/周线图上提供 趋势年化收益率 (CAGR)，帮助评估趋势强度。 How it works / 工作原理 EN: Computes log(price) → regression slope & intercept. Draws a midline (log regression projection). Upper & lower bands = ±k·σ in log space. Info panel shows: Auto-Selected Period, Trend Strength (or Pearson’s R), and CAGR. 中文： 对价格取对数 → 计算回归斜率与截距。 绘制 中线（对数回归投影）。 上下轨 = 对数空间中的 ±k·σ。 信息面板显示：自动选择周期、趋势强度（或皮尔逊 R 值）、以及 CAGR 年化收益率。 Key Settings / 主要参数 EN: Long-Term Mode: Uses extended periods (300–1200). Deviation Multiplier (k): Controls channel width (default 2.0). Styles: Colors, line type, and extension. Panel Options: Toggle auto-period, Pearson’s R, and CAGR. 中文： 长期模式：采用更长周期 (300–1200)。 偏差倍数 (k)：控制通道宽度（默认 2.0）。 样式：可设置颜色、线型、延长方式。 信息面板：可开关自动周期、皮尔逊 R、CAGR。 Notes / 注意事项 EN: CAGR is only available on Daily/Weekly timeframes. Regression-based tools may repaint as new bars form; treat it as context, not signals. 中文： CAGR 仅在日线与周线周期可用。 回归类指标在新K线形成时可能重绘，仅用于趋势参考而非交易信号。
Penunjuk Pine Script®
oleh Litiantian
AlgoGram Trend Identifier📊 Algogram Trend Identifier (ATI) The Algogram Trend Identifier (ATI) is a powerful trend-following oscillator designed to help traders identify market direction, momentum strength, divergences, and consolidation zones across multiple timeframes. 🔑 Key Features: Multi-Timeframe Presets – Choose from 5m, 15m (default), 30m, 1h, and Daily for optimized settings. Adaptive ALMA Calculation – Uses ALMA smoothing with dynamic thresholds to detect clean trend shifts. Trend Highlighting – Visual coloring of oscillator and optional bar coloring for quick market bias recognition. Customizable Thresholds & Bands – Fine-tune upper/lower thresholds, consolidation zones, and band multipliers. Consolidation Detection – Highlights when the market is moving sideways with adjustable parameters. Divergence Detection – Automatically detects bullish & bearish divergences with optional lines and dots. Dynamic Alerts – Built-in alerts for: Crossing thresholds Zero line crosses Uptrend / Downtrend detection Bullish / Bearish divergences RMS consolidation breakouts 🎯 How to Use: Above Zero Line → Bullish trend bias. Below Zero Line → Bearish trend bias. Consolidation Zone → Market may range or prepare for breakout. Bullish Divergence → Potential reversal to upside. Bearish Divergence → Potential reversal to downside. ⚡ Best For: Swing Traders, Scalpers, and Positional Traders Identifying trend strength, early reversals, and breakout opportunities Works on stocks, crypto, forex, and indices
Penunjuk Pine Script®
oleh AlgoGram
Harmonic Super GuppyHarmonic Super Guppy – Harmonic & Golden Ratio Trend Analysis Framework Overview Harmonic Super Guppy is a comprehensive trend analysis and visualization tool that evolves the classic Guppy Multiple Moving Average (GMMA) methodology, pioneered by Daryl Guppy to visualize the interaction between short-term trader behavior and long-term investor trends. into a harmonic and phase-based market framework. By combining harmonic weighting, golden ratio phasing, and multiple moving averages, it provides traders with a deep understanding of market structure, momentum, and trend alignment. Fast and slow line groups visually differentiate short-term trader activity from longer-term investor positioning, while adaptive fills and dynamic coloring clearly illustrate trend coherence, expansion, and contraction in real time. Traditional GMMA focuses primarily on moving average convergence and divergence. Harmonic Super Guppy extends this concept, integrating frequency-aware harmonic analysis and golden ratio modulation, allowing traders to detect subtle cyclical forces and early trend shifts before conventional moving averages would react. This is particularly valuable for traders seeking to identify early trend continuation setups, preemptive breakout entries, and potential trend exhaustion zones. The indicator provides a multi-dimensional view, making it suitable for scalping, intraday trading, swing setups, and even longer-term position strategies. The visual structure of Harmonic Super Guppy is intentionally designed to convey trend clarity without oversimplification. Fast lines reflect short-term trader sentiment, slow lines capture longer-term investor alignment, and fills highlight compression or expansion. The adaptive color coding emphasizes trend alignment: strong green for bullish alignment, strong red for bearish, and subtle gray tones for indecision. This allows traders to quickly gauge market conditions while preserving the granularity necessary for sophisticated analysis. How It Works Harmonic Super Guppy uses a combination of harmonic averaging, golden ratio phasing, and adaptive weighting to generate its signals. Harmonic Weighting : Each moving average integrates three layers of harmonics: Primary harmonic captures the dominant cyclical structure of the market. Secondary harmonic introduces a complementary frequency for oscillatory nuance. Tertiary harmonic smooths higher-frequency noise while retaining meaningful trend signals. Golden Ratio Phase : Phases of each harmonic contribution are adjusted using the golden ratio (default φ = 1.618), ensuring alignment with natural market rhythms. This reduces lag and allows traders to detect trend shifts earlier than conventional moving averages. Adaptive Trend Detection : Fast SMAs are compared against slow SMAs to identify structural trends: UpTrend : Fast SMA exceeds slow SMA. DownTrend : Fast SMA falls below slow SMA. Frequency Scaling : The wave frequency setting allows traders to modulate responsiveness versus smoothing. Higher frequency emphasizes short-term moves, while lower frequency highlights structural trends. This enables adaptation across asset classes with different volatility characteristics. Through this combination, Harmonic Super Guppy captures micro and macro market cycles, helping traders distinguish between transient noise and genuine trend development. The multi-harmonic approach amplifies meaningful price action while reducing false signals inherent in standard moving averages. Interpretation Harmonic Super Guppy provides a multi-dimensional perspective on market dynamics: Trend Analysis : Alignment of fast and slow lines reveals trend direction and strength. Expanding harmonics indicate momentum building, while contraction signals weakening conditions or potential reversals. Momentum & Volatility : Rapid expansion of fast lines versus slow lines reflects short-term bullish or bearish pressure. Compression often precedes breakout scenarios or volatility expansion. Traders can quickly gauge trend vigor and potential turning points. Market Context : The indicator overlays harmonic and structural insights without dictating entry or exit points. It complements order blocks, liquidity zones, oscillators, and other technical frameworks, providing context for informed decision-making. Phase Divergence Detection : Subtle divergence between harmonic layers (primary, secondary, tertiary) often signals early exhaustion in trends or hidden strength, offering preemptive insight into potential reversals or sustained continuation. By observing both structural alignment and harmonic expansion/contraction, traders gain a clear sense of when markets are trending with conviction versus when conditions are consolidating or becoming unpredictable. This allows for proactive trade management, rather than reactive responses to lagging indicators. Strategy Integration Harmonic Super Guppy adapts to various trading methodologies with clear, actionable guidance. Trend Following : Enter positions when fast and slow lines are aligned and harmonics are expanding. The broader the alignment, the stronger the confirmation of trend persistence. For example: A fast line crossover above slow lines with expanding fills confirms momentum-driven continuation. Traders can use harmonic amplitude as a filter to reduce entries against prevailing trends. Breakout Trading : Periods of line compression indicate potential volatility expansion. When fast lines diverge from slow lines after compression, this often precedes breakouts. Traders can combine this visual cue with structural supports/resistances or order flow analysis to improve timing and precision. Exhaustion and Reversals : Divergences between harmonic components, or contraction of fast lines relative to slow lines, highlight weakening trends. This can indicate liquidity exhaustion, trend fatigue, or corrective phases. For example: A flattening fast line group above a rising slow line can hint at short-term overextension. Traders may use these signals to tighten stops, take partial profits, or prepare for contrarian setups. Multi-Timeframe Analysis : Overlay slow lines from higher timeframes on lower timeframe charts to filter noise and trade in alignment with larger market structures. For example: A daily bullish alignment combined with a 15-minute breakout pattern increases probability of a successful intraday trade. Conversely, a higher timeframe divergence can warn against taking counter-trend trades in lower timeframes. Adaptive Trade Management : Harmonic expansion/contraction can guide dynamic risk management: Stops may be adjusted according to slow line support/resistance or harmonic contraction zones. Position sizing can be modulated based on harmonic amplitude and compression levels, optimizing risk-reward without rigid rules. Technical Implementation Details Harmonic Super Guppy is powered by a multi-layered harmonic and phase calculation engine: Harmonic Processing : Primary, secondary, and tertiary harmonics are calculated per period to capture multiple market cycles simultaneously. This reduces noise and amplifies meaningful signals. Golden Ratio Modulation : Phase adjustments based on φ = 1.618 align harmonic contributions with natural market rhythms, smoothing lag and improving predictive value. Adaptive Trend Scaling : Fast line expansion reflects short-term momentum; slow lines provide structural trend context. Fills adapt dynamically based on alignment intensity and harmonic amplitude. Multi-Factor Trend Analysis : Trend strength is determined by alignment of fast and slow lines over multiple bars, expansion/contraction of harmonic amplitudes, divergences between primary, secondary, and tertiary harmonics and phase synchronization with golden ratio cycles. These computations allow the indicator to be highly responsive yet smooth, providing traders with actionable insights in real time without overloading visual complexity. Optimal Application Parameters Asset-Specific Guidance: Forex Majors : Wave frequency 1.0–2.0, φ = 1.618–1.8 Large-Cap Equities : Wave frequency 0.8–1.5, φ = 1.5–1.618 Cryptocurrency : Wave frequency 1.2–3.0, φ = 1.618–2.0 Index Futures : Wave frequency 0.5–1.5, φ = 1.618 Timeframe Optimization: Scalping (1–5min) : Emphasize fast lines, higher frequency for micro-move capture. Day Trading (15min–1hr) : Balance fast/slow interactions for trend confirmation. Swing Trading (4hr–Daily) : Focus on slow lines for structural guidance, fast lines for entry timing. Position Trading (Daily–Weekly) : Slow lines dominate; harmonics highlight long-term cycles. Performance Characteristics High Effectiveness Conditions: Clear separation between short-term and long-term trends. Moderate-to-high volatility environments. Assets with consistent volume and price rhythm. Reduced Effectiveness: Flat or extremely low volatility markets. Erratic assets with frequent gaps or algorithmic dominance. Ultra-short timeframes (<1min), where noise dominates. Integration Guidelines Signal Confirmation : Confirm alignment of fast and slow lines over multiple bars. Expansion of harmonic amplitude signals trend persistence. Risk Management : Place stops beyond slow line support/resistance. Adjust sizing based on compression/expansion zones. Advanced Feature Settings : Frequency tuning for different volatility environments. Phase analysis to track divergences across harmonics. Use fills and amplitude patterns as a guide for dynamic trade management. Multi-timeframe confirmation to filter noise and align with structural trends. Disclaimer Harmonic Super Guppy is a trend analysis and visualization tool, not a guaranteed profit system. Optimal performance requires proper wave frequency, golden ratio phase, and line visibility settings per asset and timeframe. Traders should combine the indicator with other technical frameworks and maintain disciplined risk management practices.
Penunjuk Pine Script®
oleh BOSWaves
SMA-CrossOver This indicator is dedicated to the "Trader Overseas" channel. It's a pullback trading strategy that the channel owner shares for free on YouTube. Filter 1: Use the 200 SMA as an "Uptrend" or "Downtrend" filter. Filter 2: When all SMAs line up, to confirm "Uptrend" or "Downtrend." Short-term MA = SMA14 Medium-term MA = SMA50 (with a buffer channel). The example image shows an "Uptrend." When all SMAs line up, there's a "Bull" signal. (SMA21 crosses above SMA50.) Strategy: Wait for an "ENTRY" when the price pulls back into the zone. 1. Short Pullback Zone = SMA14 - SMA50 2. Deep Pullback Zone = SMA50 + Buffer Channel May be used in conjunction with Price Action as an additional filter. Additional Explanation: "CrossOver" signals "Bull" or "Bear" Signals indicate an "up" or "down" crossover of SMA21 and SMA50. "Bull" or "Bear" signal may be used as "Exit" for the position trade. But beware of false signals if the trend is sideways. Each of the SMA can adjust value.
Penunjuk Pine Script®
oleh tumrainz
TB DayProfile (stabil)TB DayProfile Indicator The TB DayProfile plots intraday price movements relative to the current day’s opening price. Each bar is shifted so that the daily open acts as a fixed zero line, making it easy to see how far the market has moved above or below the open during the session. The indicator includes: Relative intraday bars (iOpen, iHigh, iLow, iClose): Displayed as a custom bar chart, showing price action normalized to the day’s open. Zero line with color signals: Turns green if the number of consecutive bars above the open exceeds a user-defined threshold, or red if below. ATR reference bands: Daily ATR(5) from the previous day (scaled by 0.25) is plotted as upper and lower bands, helping to gauge typical intraday ranges. This tool helps traders quickly identify whether the market is trending strongly away from the daily open, or if price is reverting back toward it, independent of the chosen chart timeframe.
Penunjuk Pine Script®
oleh TB_Trader
VCP-Minervini v2This indicator is based on the famous Volatility Contraction Pattern (VCP) developed by Mark Minervini. It is designed to detect breakout setups in stocks and indices and provides a complete framework for identifying and managing them. VCP Detection: Uses ATR to measure contracting volatility and highlights potential setups with yellow markers. Pivot Level: Once a VCP is detected, the script automatically fixes a pivot resistance level and plots it as a red line. Breakout Signal: When price closes above the pivot and remains above the EMA, a green marker confirms that a breakout is active. Exit Logic: If momentum fades (volume drops below average and True Range contracts), the green marker disappears, signaling it may be time to secure profits or adjust stops. EMA Filter: Ensures that setups are only valid in the direction of the prevailing trend by requiring price to trade above the selected EMA. How to use it This tool is best suited for swing traders and position traders looking for clean breakout opportunities. It is not a simple mashup of indicators but an original combination specifically built for VCP setups. Use primarily on daily or weekly charts of liquid stocks. Build a watchlist from yellow markers (potential setups). Watch for price closing above the pivot line to confirm the breakout. Manage trades while the green marker is active, and take caution when it disappears. Adjust the parameters to fine-tune detection sensitivity for your market or trading style.
Penunjuk Pine Script®
oleh kaspareit-trading
EMA-RSI-ADX Trend Bands 📌 EMA-RSI-ADX Trend Bands (ERA Trend Bands) 🔥 Overview The ERA Trend Bands indicator combines Exponential Moving Average (EMA), Relative Strength Index (RSI), and Average Directional Index (ADX) into a powerful multi-factor trend system. It helps traders: Identify trend direction (Bullish / Bearish) Measure trend strength using EMA deviation bands Confirm momentum with RSI & ADX filters Visualize conditions with dynamic colors, labels, tables, and signals ⚡ Key Features 📍 EMA Trend Bands EMA100 with gradient glow effect showing trend bias Strength bands around EMA (Very Weak → Hyper levels) Bands color-coded for bullish/bearish extremes 📊 RSI + ADX Confluence Bullish Signal: RSI ≥ threshold & ADX ≥ threshold → 🟢 Bearish Signal: RSI ≤ threshold & ADX ≤ threshold → 🔴 Candles recolored when conditions are met Auto-generated labels show live RSI/ADX values 🧩 Strength Levels Classifies deviation from EMA into 8 levels: Neutral → Very Weak → Weak → Moderate → Strong → Very Strong → Extreme → Hyper Dashboard table shows deviation % ranges & strength colors Dynamic labels display Trend, Strength, Deviation %, RSI & ADX 🎨 Visual Enhancements Gradient EMA line with glow effect Bullish (greens) & bearish (reds) vibrant palettes Background coloring (optional) based on strength Symbols & labels for entry confirmation 🎯 How to Use Trend Direction – EMA color + deviation bands show whether market is bullish or bearish. Strength Confirmation – Use strength labels & dashboard table to gauge overextension. Entry Signals – Watch for RSI/ADX confluence (green/red labels on chart). Exits – Monitor when strength fades back toward Neutral/Weak levels. ⚙️ Settings & Inputs EMA Settings → Length, Line Width, Gradient Intensity RSI Settings → Length & Thresholds (Bullish / Bearish) ADX Settings → Length & Thresholds (Bullish / Bearish) Bands → Enable/disable EMA deviation bands Labels/Table → Toggle strength info display Colors → Fully customizable vibrant palettes 🚨 Alerts & Signals Bullish Condition → RSI & ADX above thresholds Bearish Condition → RSI & ADX below thresholds Visual confirmation with labels, candles, and background ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always backtest and use proper risk management before trading live. ✨ Add EMA-RSI-ADX Trend Bands (ERA Trend Bands) to your chart to trade with clarity, strength, and precision.
Penunjuk Pine Script®
oleh ask2maniish
Weighted Sector ADD (sign-weighted)What it is A true, cap-weighted advances/declines (ADD) proxy for the S&P 500 using sector ETFs. Each sector contributes +1 if it’s up on the bar, −1 if it’s down, 0 if flat. Those signals are then weighted by your sector weights (auto-normalized to 100%) and summed into a single breadth line. The result is a fast, low-noise read of how much of the S&P (by sector weight) is advancing vs. declining right now. - Tracks participation, not price magnitude—perfect for spotting “broad vs. narrow” moves - Heavily weighted sectors (e.g., Tech) matter proportionally more, reflecting real index impact - Simple scale: ~−1 to +1 (all weight down → all weight up) Chart Elements - Green/Red Columns – “Weighted ADD”: Current bar’s weighted breadth (sign-based by default) - Blue Line – “Weighted MA”: SMA of the weighted ADD (regime filter) - Zero/Guide Lines (optional): 0.0, ±0.2 (mild), ±0.6 (strong) - Labels (optional): Text markers at those guide levels - Advancing Weight % (optional): Label showing ((ADD+1)/2)*100 → share of total sector weight advancing How to Read (Quick Guide) - +0.60 to +1.00 → Broad, one-sided risk-on (most sector weight advancing) - +0.20 to +0.60 → Moderate, supportive breadth - −0.20 to +0.20 → Mixed/choppy; rotation - −0.60 to −1.00 → Broad, one-sided risk-off - MA above/below zero → Simple regime indicator; zero-crosses could be potential alert triggers - Divergence: Strong price move with a weak/flat ADD could potentially warn of narrow participation Inputs & settings Calculation - Use returns instead of up/down sign? OFF (default): true weighted participation (+1/−1/0) ON: weighted sector returns (winsor-capped). Use if you want magnitude, not just direction - Winsor cap (returns mode): Caps per-sector contribution in returns mode (e.g., 0.02 = ±2%) - Smoothing MA length: SMA period for the blue “Weighted MA” line - Source timeframe: Compute signals on another TF (e.g., “60”) but plot on your chart TF Visibility - Show Weighted ADD (bars): Toggle the green/red columns - Show Weighted ADD MA: Toggle the blue SMA line - Show Zero Line (0): Toggle the 0.0 reference line - Show ±0.2 / ±0.6 guide lines: Toggle the helper levels - Show guide labels: Draw small text labels at 0, ±0.2, ±0.6 - Guide label offset (bars left): Move labels left if they overlap the right edge values - Show Advancing Weight % label: Toggle the % of sector weight currently advancing Sector Symbols (ETF proxies) - XLK, XLY, XLF, XLV, XLC, XLI, XLP, XLE, XLB, XLU, XLRE: Defaults to the SPDR sector ETFs. You can swap for alternative proxies if desired. Sector Weights (auto-normalize) - Weight inputs for each sector (e.g., Tech 0.30, Financials 0.13…). These auto-normalize to 1.0 so you can paste rough numbers; the script scales them. - Keep weights fresh. GICS sector weights drift; update periodically (e.g., quarterly). Alerts included - “Weighted ADD crossed above 0” - “Weighted ADD crossed below 0” Version v1.0 – Initial release (weighted sign-based ADD + SMA, zero/guide lines & labels, Adv % label, alerts).
Penunjuk Pine Script®
oleh Bubashue5