Bắt đầu

Đường Trung bình trượt

INDICATORE MATRIX 4 STRATEGIE by Ferrini 2026 Rev 72 BisINDICATORE MATRIX 4 STRATEGIE by Ferrini 2026 - Rev 72 Bis DescrizioneIndicatore avanzato di trading per crypto (ottimizzato per ETHUSDT.P) che combina 4 strategie in un unico strumento con dashboard informativa multi-timeframe.Funzionalità PrincipaliSegnali Long/Short con filtri multipli:Bollinger Bands, RSI, Stocastico, MomentumConferma trend EMA50/EMA200Analisi volume e ADXEntry ottimizzata su pullbackDashboard compatta 4 colonne con:Dati crypto esterni: BTC%, USDT.D%, Funding RateAnalisi multi-timeframe (5m, 15m, 60m)Trend strength, Volume, Support/ResistanceDistanza EMA50, RSI/ADX, CountdownAuto Trendlines automatiche (ultimi 2 pivot highs/lows)⚙️ Impostazioni ConsigliateTimeframe: 15m o 30mADX Minimo: 18 (filtra trend deboli)Min Layers: 4 (richiede confluenza)Pullback: 0.5 ATR su max 5 barre📌 Come UsarloAggiungi all'chart ETHUSDT.P (o altra crypto)Imposta timeframe 15m/30mEntra LONG su triangolo verde, SHORT su triangolo rossoVerifica allineamento dashboard (tutti i TF nello stesso senso)Usa i dati BTC/USDT.D per confermare il contesto di mercato⚠️ DisclaimerQuesto indicatore è fornito a scopo educativo. Non costituisce consulenza finanziaria. Il trading di criptovalute comporta rischi significativi. Testa sempre in demo prima di operare con capitale reale. Autore: Ferrini 2026 Versione: Rev 72 Bis MATRIX INDICATOR 4 STRATEGIES by Ferrini 2026 - Rev 72 Bis Description Advanced crypto trading indicator (optimized for ETHUSDT.P) that combines 4 strategies in a single tool with multi-timeframe information dashboard. Main Features Long/Short signals with multiple filters: Bollinger Bands, RSI, Stochastic, Momentum EMA50/EMA200 trend confirmation Volume and ADX analysis Optimized entry on pullback Compact 4-column dashboard with: External crypto data: BTC%, USDT.D%, Funding Rate Multi-timeframe analysis (5m, 15m, 60m) Trend strength, Volume, Support/Resistance EMA50 distance, RSI/ADX, Countdown Automatic Trendlines (last 2 pivot highs/lows) ⚙️ Recommended Settings Timeframe: 15m or 30m ADX Minimum: 18 (filters weak trends) Min Layers: 4 (requires confluence) Pullback: 0.5 ATR on max 5 bars 📌 How to Use It Add ETHUSDT.P (or other cryptocurrency) to the chart Set the timeframe to 15m/30m Go LONG on the green triangle, SHORT on the red triangle Check dashboard alignment (all TFs in the same direction) Use BTC/USDT.D data to confirm the market context Disclaimer This indicator is provided for educational purposes. It does not constitute financial advice. Cryptocurrency trading involves significant risks. Always test on demo before trading with real capital. Author: Ferrini 2026 Version: Rev 72 Bis Language: Pine Script v6
Chỉ báo
của capitalferrinitrading
EMA Cloud + EMA + SMMA Trading SetSet EMA cloud as per 144-169 Set EMA as 50 Set SMMA as 200 Look for the correct sequence of price breaks EMA50 - targetting EMA cloud further if it's a red color that will play a role of main resistance zone. In case the price breaks even above EMA cloud - expect price action to target SMMA 200 since it points major liquidity level in that particular time frame price action. If the price breaks above SMMA and holds in there - increase your time frame. Best of Luck!
Chỉ báo
của manipula
Custom Built IndicatorCustom Built Indicator | MisinkoMaster Trading is often viewed as a purely mathematical or technical discipline, but the truth is that successful trading requires immense creativity. There are thousands of brilliant traders who have incredible, unique structural concepts in their minds but feel held back because they do not know how to write code. The Custom Built Indicator (CBI) was created to bridge that gap. This indicator acts as a blank, programmable canvas designed to unlock your inner quantitative designer. It is a fully modular trading framework that allows you to build, test, and personalize your own technical systems without touching a single line of code. By giving you absolute control over the baseline foundation, the volatility wrapper, the smoothing layer, and the conditional trend logic, CBI makes algorithmic design accessible to everyone. Think of it as trading art—a sandbox where you can bring your most detailed visual concepts to life, spark your curiosity, and perhaps even inspire you to take your first steps into learning Pine Script development. How It Works: The Modular Sandbox Instead of trapping you inside a single, rigid formula, CBI breaks down technical analysis into five independent, hot-swapping algorithmic layers: Baseline Settings: This establishes the gravitational core of your asset's price action. You can set this baseline using standard moving averages, advanced low-lag options, mathematical centerpoints like the median or statistical mode, or even a pure historical price offset. Volatility Settings: This dictates how your system measures market expansion and compression. You can wrap your baseline using standard range tools, pure standard deviation, or robust absolute deviation models to map out precise market extremes. Smoothing Settings: A unique layer that allows you to smooth out the upper and lower boundary bands independently of the central baseline. Applying secondary smoothing allows you to create highly tailored, fluid bands that conform uniquely to market noise. Trend Logic Settings: The brain of your strategy. Here, you decide exactly what constitutes a market regime shift. You can define trend conditions based on price breaking the outer channels, crossing the baseline, or even pure momentum acceleration. Confirmation Filters: To minimize false signals, you can apply secondary algorithmic checks—such as volume verification, rate of change agreement, or candle validation—before any structural trend shift is confirmed. An Ocean of Creative Possibilities To understand just how massive this sandbox is, we can calculate the exact number of unique logical setups available. If we completely ignore all numerical values (like lookback periods or band multipliers) and only look at the dropdown menus, the sheer volume of structural combinations is staggering: Baseline Type: 11 options Volatility Type: 5 options Upper Band Smoothing Type: 11 options Lower Band Smoothing Type: 11 options Long Signal Logic: 3 options Short Signal Logic: 3 options Confirmation Type: 4 options The Custom Built Indicator provides exactly 239,580 unique, without numerical inputs, meaning everyone will have a completely unique layout that fits them and their style. When you factor in that the crossover and crossunder source inputs can also be independently assigned to any price data point, the mathematical possibilities soar into the millions. Every single trader can find, name, and perfect a structural footprint that is entirely their own. Key System Features On-Chart Canvas Synchronization: The system automatically tracks your custom logical state and dynamically projects it back onto the screen, shifting candle colors and painting custom visual envelopes to represent your unique market regime. Asymmetric Modeling: Because the upper and lower multipliers and smoothing options are completely separated, you can build asymmetric strategies—such as tight, highly sensitive upper boundaries for fast momentum breakouts combined with wide, volatile lower boundaries to catch major macroscopic market drops. Forward-Looking Integration: The conditional logic allows you to experiment with advanced structural confirmations, such as requiring two consecutive breakout bars or demanding expanding volume before confirming a trend pivot. Input Parameters Layout General & Baseline Settings Source: The primary price feed running into your system core. Baseline Type & Lookback: Chooses the foundational trend line, offering options ranging from traditional SMA, EMA, and WMA, to advanced zero-lag options like TEMA, HMA, ALMA, or statistical Mode and Median. Volatility & Smoothing Settings Volatility Type & Lookback: Defines the range measurement matrix (Average True Range, Median True Range, Standard Deviation, Mean Absolute Deviation, or Median Absolute Deviation). Upper & Lower Multipliers: Independently scales the distance of the bands from the baseline. Additional Smoothing Type & Lookback: Provides an extra filtering pass specifically for the outer bands to eliminate jagged lines and smooth out execution zones. Trend Logic Settings Crossover/Crossunder Source: Selects the specific price sources required to breach the upper and lower boundaries. Long/Short Signal Logic: Sets the core activation condition (breaking bands, crossing the baseline, or tracking positive/negative rate of change). Confirmation Type: Applies an optional secondary validation layer (Volume, Baseline ROC, or Extra Bar validation). Embrace the Art of Strategy Design The ultimate goal of the Custom Built Indicator is to prove that technical analysis doesn't have to be rigid or intimidating. It is a playground for your ideas. Load it onto your chart, test out your most unconventional theories, mix architectures that traditional packages keep separate, and discover what works for your unique visual style. If you find a combination that speaks to you, use that spark to look under the hood—because the journey from clicking options to writing your own custom scripts is much shorter than you think. Disclaimer: Trading financial markets involves high risk. This technical script is designed as an educational and informational tool to support your rule-based mechanical execution system and does not constitute financial advice. Final Note: If you find any bugs, errors, contact me either through DMs or in the comments, and I will fix them and update the script.
Chỉ báo
của MisinkoMaster
SMA 20/50/200 + BBCombines three widely used simple moving averages (20, 50, and 200 periods) in a single chart overlay. Optional 20-period Bollinger Bands with a 2.0 standard-deviation multiplier can be enabled in the indicator settings. Default colors: - Purple: SMA 20 - Orange: SMA 50 - Green: SMA 200 - Blue: Bollinger Bands This indicator is designed as a clean visual reference for trend direction, moving-average structure, and volatility. It does not generate entry or exit signals.
Chỉ báo
của yobl1224
Liquidity Radar Engine [MarkitTick]💡 The financial markets operate on a continuous search for liquidity, moving dynamically from areas of consolidation to zones of unmitigated resting orders. This technical evaluation tool is engineered to objectively map these critical liquidity thresholds and provide a comprehensive framework for identifying high-probability market reversals and continuation phases. By tracking the exact interaction between historical pivot structures and real-time volume dynamics, it offers a highly systemic, algorithmic approach to charting price action. ✨ Originality and Utility ● A Synergistic Approach to Market Dynamics Standard technical tools typically evaluate a single dimension of market data, such as momentum or trend direction, which frequently leads to fragmented analysis and false signals. This script stands out by synthesizing pure price structure, volume delta approximation, and multi-timeframe consensus into a unified visual environment. It removes the guesswork from order block and liquidity trading by mathematically defining structural shifts. • Justification of the Integrated Logic This tool is a deliberate fusion of price action concepts and mathematical volume filtering. Relying strictly on a breakout of a previous day's high or low can be highly susceptible to false moves and liquidity traps. By incorporating a relative volume (RVOL) filter and a proprietary candle-based delta estimation, the tool validates structural shifts with quantifiable market participation. Additionally, the inclusion of momentum divergence protocols ensures that price action is aligned with the anticipated structural pivot, filtering out low-probability setups in exhausted trends. 🔬 Methodology and Concepts ● Core Analytical Framework The script operates by mapping significant price extremes across varying temporal horizons and evaluating the market's precise reaction when these zones are breached. • Liquidity Sweep Detection The algorithm constantly monitors the Highs and Lows of the Previous Day, Week, and Month. When current price action breaches one of these levels but fails to sustain the breakout—closing back inside the defined range—a sweep zone is generated. This defines a failed auction mechanism where stops may have been triggered without genuine directional follow-through from larger market participants. • Equal Highs and Lows (EQH/EQL) To identify resting liquidity pools, the script evaluates historical pivot points within an adjustable lookback window. Using the Average True Range (ATR) as a dynamic tolerance threshold, it mathematically defines whether two separate swing points are functionally "equal," marking them as magnetic targets for future price action. • Structural Shifts and Displacement Once a sweep occurs, the engine scans for a localized Change in State of Delivery (CISD). A valid shift requires displacement, which is measured by comparing the breakout candle's body size against a moving average of recent candle bodies, or by the immediate formation of a Fair Value Gap (FVG). • Multi-Factor Validation Signals are not generated strictly on price structure. They must pass a rigorous matrix of internal filters: Relative Volume (RVOL): Requires the sweep or shift to occur with volume significantly exceeding the recent moving average. Cumulative Volume Delta (CVD): Approximates buying and selling pressure within the candle spread to confirm directional momentum. Trend Alignment: Evaluates the current price against a long-term Exponential Moving Average (EMA). Volatility Squeeze Avoidance: Uses ATR ratios to actively block signals in exceptionally low-volatility environments. Currency Correlation: Compares the traded pair against a reference index to ensure macroeconomic alignment. News Blackout: Blocks all signals during user-defined, high-impact news windows to protect against erratic slippage. 🎨 Visual Guide ● Chart Elements and Topography The visual interface is meticulously designed to present complex, multi-dimensional data without obfuscating the primary candlestick action. • Historical Liquidity Levels PDH/PDL Lines: Displayed as subtle, translucent lines indicating the Previous Day's High and Low. PWH/PWL Lines: Denoting the Previous Week's extremes in distinct, moderately visible hues. PMH/PML Lines: Marking the Previous Month's extremes for macro higher-timeframe context. Equilibrium Line: A distinct midline drawn between the daily extremes to gauge intraday premium and discount pricing. • Structural Zones and Markers Sweep Zones: Highlighted boxes marking the exact area of a failed breakout. Buy-side sweeps appear in a muted green-toned box, while sell-side sweeps are marked in a red-toned box. These zones feature active aging, gently fading as time progresses. FVG Clouds: Displayed as gold or yellow background areas denoting supply/demand imbalances. EQH/EQL Markers: Small textual annotations above or below the price, bounded by a semi-transparent box, indicating concentrated liquidity pools. • Execution and Management Visuals Signal Labels: Distinct text markers indicating validated Buy or Sell conditions upon bar close. Position Boxes: When a signal is active, a structured box appears showing the Entry level (dashed neutral line), Stop Loss (dashed red line), and up to three Take Profit targets (dashed teal lines). Heatmap Candles: The main chart candles are dynamically colored based on the dominant daily bias or RSI momentum. • The Multi-Timeframe (MTF) Dashboard A tabular data panel positioned on the chart displays the trend and liquidity status across three distinct timeframes. It also features a comprehensive statistics section monitoring the active trading session, the current volatility regime, the count of unfilled fair value gaps, and the dynamic risk-to-reward ratio of any open simulated positions. 📖 How to Use ● Interpreting the Data The primary workflow involves observing the direct interaction between price velocity and the mapped structural zones. • Executing an Analysis Wait for a visual Sweep Zone to form, indicating that a significant historical level has been tested and rejected by the market. Observe the Signal Labels. A signal is only printed if the internal confluence engine—validating volume, delta, and structural displacement—has fully approved the setup. If the FVG entry model is active, wait for price to retrace into the highlighted Fair Value Gap cloud before considering the setup valid for engagement. • Trade Management Utilize the plotted Position Boxes to evaluate the mathematical risk profile. The entry, stop loss, and targets are drawn directly on the chart for immediate visual feedback. Monitor the MTF Dashboard to ensure the lower timeframe execution signal is not fighting a dominant higher timeframe trend. If Dynamic Trade Management is enabled, closely observe the Stop Loss line as it automatically trails price based on the selected ATR, Swing, or Chandelier mathematical logic. ⚙️ Inputs and Settings ● Configuration Options The script is heavily modular, allowing for extensive adjustment of its internal validation logic. • General and Display Limits Toggle the visibility of specific liquidity levels (Daily, Weekly, Monthly) and limit the maximum number of historical zones, FVG clouds, or signal boxes retained on the chart to maintain a highly optimized workspace. • Validation Filters Volume Validation: Adjust the Moving Average length and the RVOL threshold multiplier to define what constitutes a genuine volume climax. Delta Filter: Toggle the requirement for estimated volume delta to perfectly align with the signal direction. Divergence Source: Choose whether the script requires RSI, MACD, or a combination of both to display divergence before validating a reversal. ADX Threshold: Define the strict minimum trend strength required for continuation signals. • Target and Management Settings Risk to Reward (R:R) Inputs: Define the exact mathematical multiples for Target 1, Target 2, and Target 3. Position Sizing: Input an account balance and risk percentage to have the engine calculate the exact unit size for the plotted setup. Trailing Logic: Select between None, ATR-based, Swing-based, or Chandelier-based trailing stops, complete with user-defined multiplier adjustments and partial profit scaling. • Dashboard and Visual Preferences Modify the specific timeframes monitored by the MTF panel, alter its position, and heavily customize the color palettes for all sweep zones, lines, heatmaps, and interface text. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Theoretical Foundations The architecture of this script is grounded in several well-documented financial theories, primarily focusing on Auction Market Theory and the statistical modeling of price volatility distributions. • Auction Market Theory and Liquidity The core premise of the sweep detection logic rests securely on the concept of order matching and liquidity cascades. Markets move constantly to facilitate trade, frequently gravitating toward areas with a high density of resting stop orders, such as historical highs and lows. When these areas are breached but fail to attract aggressive participation, the auction process is deemed to have failed. This script mathematically quantifies these failed auctions by tracking the spatial relationship between the breakout wick and the closing price relative to the historical pivot. • Statistical Variance and Normalization The tool heavily utilizes the Average True Range (ATR) as a core normalization factor. Financial time series exhibit continuous heteroskedasticity, meaning volatility varies over time. Hardcoding a fixed point-value for concepts like "Equal Highs" or "Trailing Stops" is mathematically flawed. By utilizing ATR ratios, the algorithm rapidly adapts its spatial thresholds to the current standard deviation of price movement, ensuring highly consistent behavior across varying market regimes and asset classes. • Momentum Divergence and Rate of Change The inclusion of oscillators like the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) serves to measure the first and second derivatives of price—specifically velocity and acceleration. By actively requiring a divergence between price extremes and momentum extremes, the script effectively filters for environments where the kinetic energy of the prevailing trend is decaying, thereby increasing the statistical probability of a mean-reverting event or structural reversal. • Volume Delta Approximation While granular tick data is technically required for an exact volume delta calculation, the script employs a highly robust approximation algorithm that distributes volume proportionally across the candle's spread. This provides a quantifiable metric of localized supply and demand imbalances, adhering strictly to the Wyckoffian principle of Effort versus Result, ensuring that price moves are backed by actual transactional weight. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Chỉ báo
của MarkitTick
2
EMA-RSI Indicator [FGL]EMA-RSI Indicator The EMA-RSI Indicator is a trend-following indicator designed to identify high-probability pullback opportunities by combining Multi-Timeframe Exponential Moving Averages (EMA) with RSI Momentum Confirmation. Instead of generating signals on every trend change, this indicator waits for price to retrace back to the fast EMA while the overall trend and momentum remain aligned. Features Multi-Timeframe EMA Trend Detection Multi-Timeframe RSI Momentum Filter Pullback Entry Signals Buy & Sell Alerts Simple and Clean Chart Visualization How It Works: 1. Trend Detection (EMA) The indicator uses two EMAs from different timeframes: EMA 1 (Fast EMA) – Lower timeframe EMA 2 (Slow EMA) – Higher timeframe This helps filter trades in the direction of the dominant market trend. 2. Momentum Confirmation (RSI) Momentum is confirmed using the RSI and its Moving Average from a selectable timeframe. This additional filter helps reduce false signals during weak market conditions. 3. Pullback Detection A signal is generated only when the previous candle touches the Fast EMA. The candle must: Cross the Fast EMA (High above EMA and Low below EMA) Have a relatively small range (default: ≤ 10 price units) This approach aims to identify healthy pullbacks instead of chasing impulsive price movements. Alerts: The indicator includes three built-in alerts: Buy Alert Sell Alert Buy & Sell Alert These alerts can be used for TradingView notifications. Recommended Markets Gold (XAUUSD) It is recommended to use proper risk management and combine this indicator with support/resistance, market structure, or price action analysis before entering a trade.
Chỉ báo
của Frogile
GMS Ultimate IndicatorGMS Ultimate Indicator 9.0 is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the dominant side of the market. It analyzes the Daily, 4H, 1H, 15M, 5M, and 1M trends using HH/HL and LH/LL structure, while identifying pullbacks, consolidation, liquidity sweeps, BOS, CHOCH, protected structure, reaction zones, retests, and rejection candles. Its setup engine helps locate higher probability entries within the broader trend, with adjustable alerts, dashboard layouts, and display settings. For analysis and educational purposes only. Use proper risk management and backtesting.
Chỉ báo
của whoisyungeli
Capitulation Stretch Reversion [Jayadev Rana]OVERVIEW Capitulation Stretch Reversion is a long-biased, price-action mean-reversion strategy. Its thesis is simple: in an established uptrend, sharp multi-bar pullbacks that stretch price well below its short-term mean tend to snap back. The strategy waits for that stretched, capitulating condition, enters on the first sign of a turn, and exits when price reverts to the mean. Everything is derived from raw price and range (EMAs of price and Average True Range) - there are no oscillators or external data. HOW IT WORKS 1. Regime filter. A long EMA (default 200) defines the regime. Long trades are only permitted while price is above it, keeping every entry aligned with the prevailing drift. A symmetric short side exists but is OFF by default (see Direction). 2. Stretch + capitulation. A setup can only arm when price has extended at least a set number of ATRs below a short reversion mean (default 0.5 x ATR from a 5-EMA) AND has printed a run of consecutive lower closes (default 2). This is the "capitulation" filter - it avoids buying shallow noise and waits for a genuine flush. 3. Entry. When the stretched, capitulating condition is met and the current bar closes back up (a reversal bar), a long is taken on the confirmed bar. 4. Exit - three ways. The target is a reversion to the mean: the position is closed once price closes back at or above the reversion EMA. A protective stop sits a wide, volatility-based distance below entry (default 3 x ATR). A time stop closes any trade that has neither hit target nor stop within N bars (default 10). WHY THE STOP IS WIDE Mean reversion trades a high hit-rate against an unfavourable reward-to-risk: the target (a snap back to the mean) is near, while the protective stop is deliberately wide so normal wobble does not knock you out. This produces frequent winners but occasional losers that are larger than a typical win. That trade-off is intentional and is shown honestly in the results below - read the LIMITATIONS section carefully. BACKTEST (defaults, on the loaded history) Tested on SPY daily with the default inputs and the properties set in the script (10,000 initial capital, 100% of equity per trade, 0.03% commission, 2 ticks slippage). On the sample available in the Strategy Tester this produced roughly a 67% win rate with a profit factor near 1.67, a max drawdown around 10%, and no margin calls, modestly ahead of buy-and-hold over the same window. This is a limited in-sample backtest, not a forward result - your own data window, symbol, fees and fills will differ. SETTINGS Regime EMA Length - trend filter that gates entries. Reversion Mean Length - the EMA used as the snap-back target. Stretch (ATR from mean) - how far price must extend before a setup arms. Capitulation Bars - consecutive closes required to confirm exhaustion. Protective Stop (ATR) and Time Stop (bars) - the exit envelope. Direction - Trade Longs (on) and Trade Shorts (off by default; counter-trend shorts on up-drifting index ETFs have a much lower hit-rate). Dashboard - live regime, position, win rate, profit factor and net profit. LIMITATIONS Signals are evaluated on bar close, not intraday. The reported win rate is in-sample on a finite history and will not persist unchanged out of sample. Because winners are small and losers wide, a cluster of stopped trades can still produce a meaningful drawdown despite a high win rate - position size accordingly. Percent-of-equity sizing at 100% is for demonstration; use realistic risk-based sizing in practice. Mean reversion underperforms in strong, one-directional trends where price never stretches, and can suffer if a pullback turns into a full regime change. This script is a research and educational tool, not financial advice or a guarantee of future performance. ORIGINALITY The contribution is the specific combination: an ATR-normalised "stretch" distance from a fast mean, gated by a consecutive-lower-close capitulation count and a regime filter, with a mean-touch target against a wide ATR stop and a time stop. It is built from first principles on price and range, not a wrapper around a built-in indicator.
Chiến lược
của bluealgocapital
Shiva Pro V5 Structure Signals IntelligencePro V5 — Market Structure & Smart Signal Engine A unified day-trading and swing system built for 5m, 10m, and 1H charts. Five independent confirmation layers — trend, volatility, momentum, volume, and structure — work together before any signal is published. Every entry is committed at candle close. Nothing repaints. Day Trading Swing Trading 5m · 10m · 1H Non-Repainting Stocks · Crypto · Futures Pine Script® v6 Architecture Eight systems, one chart Shiva Pro V5 is not a single indicator — it is eight interlocking analytical layers rendered on one overlay so you never need to context-switch between panes. Each layer can be toggled independently; together they give you a complete picture of market intent. 🏗 Market Structure Automatic swing high / low detection. BOS (Break of Structure) and CHoCH (Change of Character) labels fire at candle close — BOS confirms trend continuation, CHoCH warns of reversal before it develops. 📦 Order Blocks Detects the last opposing candle before a strong impulse move. Up to five blocks per side are tracked simultaneously. Blocks fade in transparency as they age — the newest, most relevant zone always reads brightest. ⚡ 5-Stage Signal Engine Every LONG or SHORT label passes five independent gates: EMA trend stack, ATR volatility expansion, RSI + MACD momentum, above-average volume, and structure confirmation. A 10-bar cooldown prevents signal clustering. 💧 VWAP Break & Retest Identifies high-volume breaks of VWAP, waits for price to retest within 0.2%, then confirms the bounce with momentum. A chop filter suppresses signals when price has crossed VWAP 2+ times in 20 bars — no oscillating false entries. 🛡 Risk Management SL and TP1 draw instantly at signal. Lines are self-deleting — they expire after your chosen bar count or are cleared immediately when a new signal fires, keeping the chart clean. TP2 / TP3 are hidden by default. 📊 MTF Dashboard Live table showing trend direction, RSI, and volume status on your three trading timeframes (5m, 10m, 1H) plus a 4H / 1D swing backdrop. Day Alignment score (X/3) tells you at a glance if all TFs agree. ☁️ Clouds & Ribbon Reversal Cloud (EMA 9/21) changes color with momentum, Bias Ribbon (EMA 20/50) fills to show macro direction, and an optional Sentiment Cloud (EMA 50/200) paints the long-term trend beneath everything. 🔔 17 Alert Conditions Every signal type has its own alert: LONG, SHORT, VWAP Buy, VWAP Sell, BOS, CHoCH, Pullback, Reversal, High Volume Spike, Trailing Stop Hit, and full MTF alignment calls for all-bull and all-bear.
Chỉ báo
của ROI10X
GMS Ultimate IndicatorGMS Ultimate Indicator is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the market’s direction. It tracks 4H, 1H, 15M, and 5M trend conditions, structure state, and price position relative to selected EMAs. The indicator also identifies BOS, CHOCH, swing highs and lows, liquidity pools and sweeps, previous day/week levels, protected 1H structure, 4H reaction zones, retests, rejection candles, potential setups, targets, and alerts. Built for scalpers, intraday traders, and swing traders who use market structure and price action. For analysis and educational purposes only.
Chỉ báo
của whoisyungeli
GMS Ultimate Structure + Price ActionGMS Ultimate Indicator is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the dominant side of the market. It analyzes the Daily, 4H, 1H, 15M, 5M, and 1M trends using HH/HL and LH/LL structure, while identifying pullbacks, consolidation, liquidity sweeps, BOS, CHOCH, protected structure, reaction zones, retests, and rejection candles. Its setup engine helps locate higher probability entries within the broader trend, with adjustable alerts, dashboard layouts, and display settings. For analysis and educational purposes only. Use proper risk management and backtesting.
Chỉ báo
của whoisyungeli
SMAST Oscillator [point algo]The SMAST Oscillator combines a Simple Moving Average (SMA) with the Supertrend indicator to measure the distance between them as a momentum oscillator. Instead of displaying the SMA and Supertrend directly on the price chart, this indicator plots the difference between the two values around a zero line, making it easier to identify trend strength, momentum shifts, and potential reversals. How it works The oscillator is calculated as: Oscillator = SMA − Supertrend Positive values indicate the SMA is above the Supertrend. Negative values indicate the SMA is below the Supertrend. The farther the oscillator moves away from zero, the greater the separation between the two indicators. The histogram-style fill changes color automatically based on whether the oscillator is above or below the zero line. Interpretation Bullish Momentum Oscillator is above zero. Green color. SMA is positioned above the Supertrend. Suggests bullish market structure. Bearish Momentum Oscillator is below zero. Red color. SMA is positioned below the Supertrend. Suggests bearish market structure. Zero Line Cross A cross above or below zero may indicate that the relationship between the SMA and Supertrend has changed. Many traders use these transitions as an additional confirmation alongside their existing trading strategy. Inputs SMA Length Period used for the Simple Moving Average. Supertrend ATR Length ATR period used in the Supertrend calculation. Supertrend Multiplier Controls the sensitivity of the Supertrend. Lower values react faster. Higher values reduce noise but react more slowly. Best Use Cases Trend confirmation Momentum analysis Identifying trend transitions Multi-timeframe confirmation Swing trading Intraday trend filtering Notes This indicator is based on the built-in TradingView Supertrend function. It is designed as a momentum and trend-strength visualization. It should not be used as a standalone buy or sell signal. Consider combining it with price action, volume analysis, support/resistance, or other confirmation tools. Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial or investment advice. Always perform your own analysis and manage risk appropriately before making trading decisions.
Chỉ báo
của pointalgo
Stryk TrendsStryk: ATR Trends Everything in this tool is measured in units of one master ATR. Change that one length and the whole indicator retunes together — the candle coloring, the compression reads, the reversal checks, and the trailing stop all use the same yardstick. What it is At the center is a composite value line: a weighted blend of seven EMAs (8 through 144) and a rolling volume-weighted average. The VWMA leans the line toward where volume actually transacted, and its window can auto-size to your chart timeframe so it covers a similar span whether you're on the 1-minute or the daily. Price tends to return to this line, and the whole tool reads price against it. Candles color by distance from that line. Near it, they're neutral. The further price stretches away, the deeper the up or down color gets, reaching full saturation at a set ATR distance. A signal can also flip the candles to a solid color temporarily, so you can run the tool with every line hidden and still get the read from the candles alone. The engines Compression coil. A dedicated ATR is ranked into a percentile. When it compresses into the bottom of its range, the market is coiled. When the coil releases and price is at the same time over-extended from the composite, a fade marker prints back toward the line. One fire per release, inside a short window. A second marker can print if volume steps up afterward. Compression release. A separate lens using Donchian width (highest high minus lowest low) ranked in the same percentile framework. When the envelope tightens and then releases, a marker prints in the direction of an ATR-normalized momentum read. This is not a Bollinger-inside-Keltner squeeze — it's built entirely in percentile space. Reversal engine. Once price has stretched a set number of ATRs from the composite, the engine watches for the turn. It counts four independent checks: an RSI rollover, a close back inside the band around the line, a confirmed pivot, and a volume climax. When enough agree, a reversal marker prints — once per leg, and it won't re-arm until price comes back near the line. Pivots confirm after their right-side bars complete, so that check is delayed by design rather than repainting. Whale and spike. A per-bar order-flow estimate built from close location and volume. Two whale reads fire from it: a fade of a volume spike where the delta ran against the move, and absorption — heavy delta into a bar that barely moved. Both can be gated by trend so you don't fade into a strong stretch. Bars at the extreme relative-volume threshold print a spike marker instead; the whale band sits below that threshold, so the two never fire on the same bar. The spike is an attention marker, not a directional call. ATR trailing stop. A ratcheting volatility stop, either always on or armed by a coil fire. The default runs a tight 3/3 configuration as the real line, with a wider manual configuration drawn faintly beside it as a reference. The stop's ATR can be pulled from a higher timeframe, lookahead-off. Volume participation. A volume EMA normalized 0 to 100 against its own recent range. Fifty is average. The extremes tint the background and the value sits in the status box. Status box. One table on the chart reports every active engine on the last bar — stop side and level, compression stage, last reversal with its confluence count, last release, whale scenario, last spike, and participation. Rows light up when fresh and dim after a few bars. Every row can be toggled and the layout can run stacked or horizontal. How I use it Candle color is the base read. The coil and release tell me volatility compressed and which way it resolved. The reversal and whale engines flag exhaustion at the stretched edges. The trailing stop manages the rest. Each engine is independent — turn off what you don't use. Originality The rolling VWMA is the plain public-domain construction, sum(price x volume) / sum(volume), implemented directly with no external library. The compression framework — ATR-percentile coil plus Donchian-width release, scored in one percentile system — is original construction. Native built-ins only. Non-repainting on closed bars: higher-timeframe requests are lookahead-off on confirmed values, and alerts are meant for once-per-bar-close. Notes Built for standard candles only. The volume engines need a symbol with real volume, and the whale delta is an estimate from bar structure, not exchange order-flow data. This is an analysis tool, not advice, and it doesn't predict anything.
Chỉ báo
của Es-Sniper
Moving Averages TrendFour independently configurable moving averages (type, length, source, color each) let you build the classic multi-MA trend stack in one indicator — a long-term filter to define the overall regime, an intermediate MA for the broader trend, and a fast pair for tactical entries on pullbacks within it. Used purely as an overlay, this is a continuation tool: you only take trades in the direction the slower MAs already agree on, using the faster pair to time entries once price pulls back into alignment. The MA3/MA4 cross-signal layer is what sets this apart from a plain crossover system. Instead of waiting for the two faster MAs to physically cross — which is already stale information by the time it happens — it takes each MA's recent slope and projects it forward by a configurable number of bars, firing the buy/sell label as soon as that projected path crosses rather than the actual one, giving you a signal a few bars earlier than a textbook crossover. A minimum-separation filter (scaled to ATR) throws out weak "touch and go" near-misses, and the signal only fires when price is already sitting on the correct side of both MAs and each MA is still actively moving in that direction on the current bar — all of which is meant to filter out low-conviction crosses in choppy conditions. An optional daily+-only restriction keeps the signal from firing on intraday noise for traders who only want to act on it at swing timeframes. Best applied in trending or newly-trending markets, as a combined trend filter (from the 4 plotted MAs) and tactical entry trigger (from the cross signal) rather than as a mean-reversion tool — it has little to offer in a flat, range-bound market since the slope and separation conditions are designed specifically to avoid firing in that environment.
Chỉ báo
của MTG_MindTheGap
[EWT] MA Extension Risk Stats MA Extension Risk Stats helps traders objectively measure how extended a stock, index, or any instrument is relative to its own historical behavior from a moving average. Instead of guessing whether price “looks high,” this indicator calculates the percentage distance of every historical bar from a configurable SMA or EMA and then displays the Maximum, Mean, and Median deviations in a clean, updating table. By comparing the current deviation against these historical benchmarks, you get clear, data-driven context for profit booking decisions. Key Benefits Objective Extension Measurement: See exactly where the current price stands in the instrument’s historical distribution of moves away from its moving average. Better Profit Booking Decisions: Know whether the current extension is normal, moderate, high, or near the historical maximum — removing emotion from scaling out of positions. Risk Context at a Glance: Color-coded risk levels (Low / Moderate / High / Very High) combined with concise guidance help you quickly decide whether to book partial profits (30-50%) or exit most/all of a position. All-History Perspective: Unlike rolling-window tools, this indicator uses the entire available dataset on your chart, giving you a complete picture across different market regimes. Fully Customizable: Choose SMA or EMA, any period length, and position the compact table anywhere on the chart. The table automatically adapts to your light or dark chart theme for excellent readability. Practical Use Cases Trend Following & Swing Trading: When price stretches far above its MA during a strong uptrend, use the stats to scale out systematically instead of hoping for more upside. Mean Reversion Setups: Identify when price has extended unusually far below its MA and prepare for potential bounces with better risk awareness. Position Management: Apply consistent rules such as “book 50% when current deviation exceeds 1.5× median” or “exit fully when approaching historical maximum.” Multi-Timeframe Analysis: Run it on daily charts for swing trades and weekly charts for positional decisions using the same logic. Whether you trade stocks, indices, forex, or crypto, MA Extension Risk Stats gives you a professional, repeatable framework to manage extension risk and improve profit-taking discipline. It is especially valuable for traders who want to move from subjective “it looks extended” decisions to quantifiable, historically grounded rules. Add it to your chart, adjust the MA period to match your style, and start making more confident, data-backed decisions on when to lock in profits.
Chỉ báo
của YetAnotherTA