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Indicadores y estrategias

Asia Range Breakout Table (Narrowness) Asia Range Breakout Table (Narrowness) Overview The Asia Range Breakout Table (Narrowness) is a professional trading tool designed to analyze and display range characteristics across key Asian trading sessions. This indicator provides real-time visual feedback on market range narrowness, helping traders identify potential breakout opportunities based on historical range comparisons. Better to use in M5 or M15 timeframe. Key Features - Multi-Session Analysis : Tracks 6 crucial Asian market sessions: - ORB Pre (Tokyo Pre-open) - ORB First (Tokyo First) - Sydney Box - Tokyo Launch Box - 2nd Session Pre-Open - 2nd ORB (Tokyo 2nd Session) - Historical Comparison : Compares current session ranges against 44 days of historical data - Visual Color Coding : - 🟢 Narrowest (<10%) - Extremely compressed ranges - 🟢 Narrow (10-59%) - Below average ranges - 🟣 Normal (60-79%) - Typical range behavior - 🔴 Wide (≥80%) - Expanded range conditions - Customizable Display : Adjustable table position and text size - Session Toggle : Enable/disable individual sessions based on your trading focus How It Works The indicator calculates the high-low range for each defined session and ranks it against historical data using percentile analysis. This helps traders quickly identify: - Unusually narrow ranges that may indicate impending breakouts - Expanded ranges suggesting increased volatility - Normal range behavior for context Use Cases - Breakout Trading : Identify sessions with compressed ranges for potential breakout setups - Volatility Assessment : Gauge market conditions across different Asian sessions - Session Analysis : Understand range behavior during specific market hours - Risk Management : Adjust position sizing based on range characteristics Input Parameters - Session Toggles : Enable/disable individual session tracking - Table Position : Choose from four corner positions - Text Size : Adjust table readability (Tiny, Small, Normal, Big) Ideal For - Asian session traders - Breakout strategy enthusiasts - Volatility analysis - Multi-timeframe analysts - Professional and retail traders focusing on Asian markets Disclaimer This tool is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own research and risk management before trading.
Indicador Pine Script®
por MahdiSalari8
Cross3xCross3x – Early Rejection & Crossover Detection System Cross3x is a powerful yet intuitive trading tool designed for traders who want early signals with structured risk management. Built around a dual EMA crossover (18 & 33), it generates entry signals on every crossover and crossunder — no trend filter interference. The long-term SMA 99 provides context but doesn’t block valid setups. Key Features: Unfiltered Entries: Triangles appear on every EMA 18/33 crossover, ideal for catching reversals early. Smart SL/TP/BE: SL based on recent extremes (configurable lookback). TP using adjustable Risk/Reward ratio (default 2:1). BE level set at a % between entry and TP (e.g., 10% = just above cost). Early Rejection Signals: Diamonds highlight potential reversals when price tests a moving average with a long wick during a countertrend candle: 🟩 Green diamond below bar → Potential Long Setup 🟥 Red diamond above bar → Potential Short Setup Confirmation Points: Circles appear when price retraces properly after a crossover, marking optimal entry zones. Real-Time Dashboard: Dynamic table shows current signal, SL, and TP levels. Customizable Alerts: Enable alerts per signal type for timely execution. Why Traders Love Cross3x: It combines simplicity with intelligence. Whether you're scalping, swing trading, or building an algo strategy, Cross3x gives you clarity, timing, and discipline in one compact package. Use the diamonds to anticipate moves, the triangles to confirm momentum, and the confirmation circles to refine entries — all backed by precise risk controls. Perfect For: Breakout traders Pullback hunters Price action + MA confluence strategies Deploy Cross3x to turn basic crossovers into a complete edge.
Indicador Pine Script®
por Nunyadzila2025
Simplified Percentile ClusteringSimplified Percentile Clustering (SPC) is a clustering system for trend regime analysis. Instead of relying on heavy iterative algorithms such as k-means, SPC takes a deterministic approach: it uses percentiles and running averages to form cluster centers directly from the data, producing smooth, interpretable market state segmentation that updates live with every bar. Most clustering algorithms are designed for offline datasets, they require recomputation, multiple iterations, and fixed sample sizes. SPC borrows from both statistical normalization and distance-based clustering theory , but simplifies them. Percentiles ensure that cluster centers are resistant to outliers , while the running mean provides a stable mid-point reference. Unlike iterative methods, SPC’s centers evolve smoothly with time, ideal for charts that must update in real time without sudden reclassification noise. SPC provides a simple yet powerful clustering heuristic that: Runs continuously in a charting environment, Remains interpretable and reproducible, And allows traders to see how close the current market state is to transitioning between regimes. Clustering by Percentiles Traditional clustering methods find centers through iteration. SPC defines them deterministically using three simple statistics within a moving window: Lower percentile (p_low) → captures the lower basin of feature values. Upper percentile (p_high) → captures the upper basin. Mean (mid) → represents the central tendency. From these, SPC computes stable “centers”: // K = 2 → two regimes (e.g., bullish / bearish) = // K = 3 → adds a neutral zone = These centers move gradually with the market, forming live regime boundaries without ever needing convergence steps. Two clusters capture directional bias; three clusters add a neutral ‘range’ state. Multi-Feature Fusion While SPC can cluster a single feature such as RSI, CCI, Fisher Transform, DMI, Z-Score, or the price-to-MA ratio (MAR), its real strength lies in feature fusion. Each feature adds a unique lens to the clustering system. By toggling features on or off, traders can test how each dimension contributes to the regime structure. In “Clusters” mode, SPC measures how far the current bar is from each cluster center across all enabled features, averages these distances, and assigns the bar to the nearest combined center. This effectively creates a multi-dimensional regime map , where each feature contributes equally to defining the overall market state. The fusion distance is computed as: dist := (rsi_d * on_off(use_rsi) + cci_d * on_off(use_cci) + fis_d * on_off(use_fis) + dmi_d * on_off(use_dmi) + zsc_d * on_off(use_zsc) + mar_d * on_off(use_mar)) / (on_off(use_rsi) + on_off(use_cci) + on_off(use_fis) + on_off(use_dmi) + on_off(use_zsc) + on_off(use_mar)) Because each feature can be standardized (Z-Score), the distances remain comparable across different scales. Fusion mode combines multiple standardized features into a single smooth regime signal. Visualizing Proximity - The Transition Gradient Most indicators show binary or discrete conditions (e.g., bullish/bearish). SPC goes further, it quantifies how close the current value is to flipping into the next cluster. It measures the distances to the two nearest cluster centers and interpolates between them: rel_pos = min_dist / (min_dist + second_min_dist) real_clust = cluster_val + (second_val - cluster_val) * rel_pos This real_clust output forms a continuous line that moves smoothly between clusters: Near 0.0 → firmly within the current regime Around 0.5 → balanced between clusters (transition zone) Near 1.0 → about to flip into the next regime Smooth interpolation reveals when the market is close to a regime change. How to Tune the Parameters SPC includes intuitive parameters to adapt sensitivity and stability: K Clusters (2–3): Defines the number of regimes. K = 2 for trend/range distinction, K = 3 for trend/neutral transitions. Lookback: Determines the number of past bars used for percentile and mean calculations. Higher = smoother, more stable clusters. Lower = faster reaction to new trends. Lower / Upper Percentiles: Define what counts as “low” and “high” states. Adjust to widen or tighten cluster ranges. Shorter lookbacks react quickly to shifts; longer lookbacks smooth the clusters. Visual Interpretation In “Clusters” mode, SPC plots: A colored histogram for each cluster (red, orange, green depending on K) Horizontal guide lines separating cluster levels Smooth proximity transitions between states Each bar’s color also changes based on its assigned cluster, allowing quick recognition of when the market transitions between regimes. Cluster bands visualize regime structure and transitions at a glance. Practical Applications Identify market regimes (bullish, neutral, bearish) in real time Detect early transition phases before a trend flip occurs Fuse multiple indicators into a single consistent signal Engineer interpretable features for machine-learning research Build adaptive filters or hybrid signals based on cluster proximity Final Notes Simplified Percentile Clustering (SPC) provides a balance between mathematical rigor and visual intuition. It replaces complex iterative algorithms with a clear, deterministic logic that any trader can understand, and yet retains the multidimensional insight of a fusion-based clustering system. Use SPC to study how different indicators align, how regimes evolve, and how transitions emerge in real time. It’s not about predicting; it’s about seeing the structure of the market unfold. Disclaimer This indicator is intended for educational and analytical use. It does not generate buy or sell signals. Historical regime transitions are not indicative of future performance. Always validate insights with independent analysis before making trading decisions.
Indicador Pine Script®
por InvestorUnknown
2
Sequential Trend + Momentum Long and Short📈 Signals 🟢 Long Entry: EMA trend turns bullish and RSI confirms momentum. 🔴 Short Entry: EMA trend turns bearish and RSI confirms momentum. 🟢 Long Exit: Price drops below EMA Exit zone. 🔴 Short Exit: Price rises above EMA Exit zone. 🧩 Parameters Input Description EMA Fast Short-term EMA for trend detection EMA Slow Medium-term EMA for trend filtering EMA Exit Longer EMA for trailing exit confirmation RSI Length Period of RSI used for momentum check RSI Long Threshold RSI value confirming bullish momentum RSI Short Threshold RSI value confirming bearish momentum 🚀 How to Use Apply the indicator on your preferred timeframe (15min–1h recommended). Use Long Entry and Short Entry markers for potential trade setups. Combine with your own stop-loss & target rules or automate via webhook. Alerts are built-in for all entries/exits and can be sent to trading bots or brokers. 🔔 Alerts Sequential Long Entry Triggered → triggers when bullish conditions align. Sequential Long Exit Triggered → triggers when long trend weakens. Sequential Short Entry Triggered → triggers when bearish conditions align. Sequential Short Exit Triggered → triggers when short trend weakens. 🧭 Best Practices Works best in trending markets; avoid ranging conditions. Can be paired with volume filters or higher timeframe confirmation for better accuracy. Adjustable EMA and RSI values make it flexible across assets (stocks, crypto, indices).
Indicador Pine Script®
por DhongiAnalysis
Fusion Screener📘 Fusion Screener (MA + Oscillator + Range Breakout + Angle Filter + Trailing Alerts) The Fusion Screener is a technical-analysis study that combines multiple indicator categories into one framework. It evaluates moving-average alignment, oscillator conditions, range separation, and angle thresholds, and it optionally issues time- or structure-based trailing alerts. The script is intended for screening and chart-based analysis, not for generating trading or investment advice. 🔧 Main Components Moving-Average Votes – Calculates five moving averages (10 – 200 periods) on a selected analysis timeframe and counts how many are positioned above or below the current price. Oscillator Votes – Evaluates RSI, MACD, and Momentum on the same timeframe and counts bullish or bearish readings. Higher-Timeframe Filter – Optionally checks the relationship between price and an EMA on a higher timeframe to provide directional context. Range-Breakout Logic – Compares two customizable moving averages and determines whether price has moved outside a defined separation threshold. Angle Filter – Estimates the slope (in degrees) of a chosen moving average and filters conditions that do not meet the minimum angle requirement. Trailing Alerts – Generates optional time-based or structure-based reminder alerts after entries occur, according to user-defined intervals or pivot behavior. ⚙️ User Inputs Analysis Timeframe – Selects the timeframe used for MA and oscillator calculations. Min MA Votes / Min Oscillator Votes – Minimum number of bullish or bearish readings required to satisfy each group. Higher-Timeframe Confirmation – Enables or disables the directional EMA filter from a separate timeframe. Range MA Type / Lengths / Threshold – Parameters controlling the range-breakout comparison. Angle Filter Settings – Type, length, slope-lookback, and minimum angle (degrees). Trailing Alerts – Options for bar-based or structure-based trailing reminders, including repetition behavior and pivot lookback length. Show Signals – Toggles on-chart markers for informational visualization. 🖥️ Outputs On-chart shapes marking informational “buy,” “strong buy,” “sell,” and “strong sell” conditions when corresponding criteria are met. Exit markers when prior conditions no longer hold. Flags when time- or structure-based trailing alerts are triggered. Built-in alert conditions that can be linked through the TradingView alert interface. 📊 Technical Notes Uses request.security() for multi-timeframe data retrieval. Does not repaint past bars once higher-timeframe candles have closed. Intended for monitoring the coexistence of several technical factors within a single script. No part of this study constitutes financial or trading advice; it provides analytical data for chart observation only.
Indicador Pine Script®
por readysetfire
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation. What is a Fair Value Gap A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3. Bullish FVG : low > high . This marks a bullish imbalance left beneath price. Bearish FVG : high < low . This marks a bearish imbalance left above price. These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs. Why add momentum Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill. Core Features Auto FVG Detection with size filters in percent of price. Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red. Bull and Bear Modes with independent toggles. Extend Until Filled : keep drawing live to the right until price fully fills the gap. Auto Remove Filled for a clean chart. Optional Labels showing the smoothed RSI value stored at the gap’s birth. RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought. Performance Controls : cap how many FVGs to keep on chart. Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs. How it works Source for Momentum : choose Returns, Close, or Volume. Returns computes percent change over a short lookback to focus on impulse quality. RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding. Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price. Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it. Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately. How to use it Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop. Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction. Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance. Choose your playbook : Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context. Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse. Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price. Two trade playbooks Continuation - Buy the hold of a bullish FVG Context uptrend. A bullish FVG prints with strong RSI color. Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap. Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area. Reversion - Fade a weak bearish FVG toward fill Context range or fading trend. A bearish FVG prints with weak RSI color near a completed move. Price fails to accelerate lower and rotates back into the gap. Enter toward mid-gap with confirmation. Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials. Key settings Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday. Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets. RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability. RSI Source : Returns : most sensitive to true momentum bursts Close : traditional. Volume : uses raw volume impulses to judge footprint strength. Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals. Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes. Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow. Reading the chart Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality. Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality. Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation. Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed. Workflow tips Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias. Increase Min FVG Size percent and RSI length for noisy symbols. Use labels when learning to correlate the RSI numbers with your palette colors. Combine with VWAP or moving averages for confluence at FVG edges. If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing. Alerts included New Bullish FVG New Bearish FVG Bullish FVG Filled Bearish FVG Filled Extreme Oversold FVG - bullish Extreme Overbought FVG - bearish Practical defaults RSI Length 14, Smooth 3, Source Returns. Min FVG Size 0.25 percent on liquid majors. Heatmap Style Gradient, Palette Viridis or Turbo for contrast. Extend Unfilled on, Auto Remove on for a clean live map. Notes This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
Indicador Pine Script®
por BackQuant
ETH OHLC by tncylyvETH OHLC Projection Levels 📜 Indicator Description This indicator projects key potential price levels for Ethereum (ETH) based on its historical price behavior. Using the opening price of a user-selected timeframe (4H, 1D, or 1W) as a baseline, it calculates and displays statistically-derived levels for potential "Manipulation" and "Distribution" phases of price action. These projections are designed to provide traders with potential zones of interest for support, resistance, stop-loss placement, and take-profit targets for the current trading period. ________________________________________ 🧠 Core Concepts Explained The indicator is built on two key concepts derived from candlestick analysis: • Manipulation: This represents the initial price movement that occurs against the candle's eventual primary direction. o For a bullish candle, it's the extent of the lower wick (the move from Open down to Low). o For a bearish candle, it's the extent of the upper wick (the move from Open up to High). o The "M" levels on the chart project the average (mean and median) historical size of this manipulation wick, suggesting potential areas for liquidity grabs or stop hunts. • Distribution: This represents the primary price movement in the direction of the candle's trend. o For a bullish candle, it's the total move from Open to High. o For a bearish candle, it's the total move from Open to Low. o The "D" levels project the average (mean and median) historical range of this price expansion, suggesting potential targets for the period. ________________________________________ 📊 Data & Methodology It is important to note that the statistical ratios used for the projections are not calculated in real-time by the indicator itself. These values have been pre-calculated through an extensive historical analysis performed in Python. The analysis used the complete historical ETH/USD price data from the Coinbase exchange to determine the mean and median ratios for both manipulation and distribution across the different timeframes. The resulting fixed values are then hard-coded into the script to ensure performance and consistency. ________________________________________ ⚙️ How to Use It At the beginning of each new period (e.g., at the start of a new day on the 1D timeframe), the indicator will draw a new set of horizontal lines and zones based on that period's opening price. • The central dotted line represents the Opening Price for the selected timeframe. • Manipulation Levels (+M / -M): These inner levels can be interpreted as potential reversal zones. Price may test these areas to trigger stops before moving in the primary direction for the session. • Distribution Levels (+D / -D): These outer levels can be used as potential take-profit targets, representing the average historical price extension for a period. • Mean vs. Median Zones: The script plots levels based on both the historical mean (average) and median (middle value). The shaded area between them creates a zone rather than a single price line, offering a more practical range for analysis. ________________________________________ 🛠️ Settings and Features • Projection Timeframe: Select the primary timeframe for the analysis (4H, 1D, or 1W). The historical data used for projections is specific to the chosen timeframe. • Historical Periods to Show: Adjust how many past periods of data you want to see on your chart. A value of 1 will only show the projections for the current, active period. • Timezone (UTC-4): The 4H calculations are based on a fixed UTC-4 timezone to align with specific, high-volume market sessions (e.g., New York open). This is not changeable to ensure data consistency. • Visual Customization: You have full control over the appearance of the indicator. o Toggle the visibility, colors, and line styles for the Open price line and each of the Manipulation/Distribution levels using their respective checkboxes and inputs. o Enable or disable the shaded fills between the mean and median levels. o Tip: To quickly hide all price labels at once, edit the "Label Color" setting and set its opacity to 100% (fully transparent).
Indicador Pine Script®
por tncylyv
BTC OHLC by tncylyvBTC OHLC Projection Levels 📜 Indicator Description This indicator projects key potential price levels for Bitcoin (BTC) based on historical price behavior. Using the opening price of a user-selected timeframe (4H, 1D, or 1W) as a baseline, it calculates and displays statistically-derived levels for potential "Manipulation" and "Distribution" phases of price action. These projections are designed to provide traders with potential zones of interest for support, resistance, stop-loss placement, and take-profit targets for the current trading period. ________________________________________ 🧠 Core Concepts Explained The indicator is built on two key concepts derived from candlestick analysis: • Manipulation: This represents the initial price movement that occurs against the candle's eventual primary direction. o For a bullish candle, it's the extent of the lower wick (the move from Open down to Low). o For a bearish candle, it's the extent of the upper wick (the move from Open up to High). o The "M" levels on the chart project the average (mean and median) historical size of this manipulation wick, suggesting potential areas for liquidity grabs or stop hunts. • Distribution: This represents the primary price movement in the direction of the candle's trend. o For a bullish candle, it's the total move from Open to High. o For a bearish candle, it's the total move from Open to Low. o The "D" levels project the average (mean and median) historical range of this price expansion, suggesting potential targets for the period. ________________________________________ 📊 Data & Methodology It is important to note that the statistical ratios used for the projections are not calculated in real-time by the indicator itself. These values have been pre-calculated through an extensive historical analysis performed in Python. The analysis used the complete historical BTC/USD price data from the Coinbase exchange to determine the mean and median ratios for both manipulation and distribution across the different timeframes. The resulting fixed values are then hard-coded into the script to ensure performance and consistency. ________________________________________ ⚙️ How to Use It At the beginning of each new period (e.g., at the start of a new day on the 1D timeframe), the indicator will draw a new set of horizontal lines and zones based on that period's opening price. • The central dotted line represents the Opening Price for the selected timeframe. • Manipulation Levels (+M / -M): These inner levels can be interpreted as potential reversal zones. Price may test these areas to trigger stops before moving in the primary direction for the session. • Distribution Levels (+D / -D): These outer levels can be used as potential take-profit targets, representing the average historical price extension for a period. • Mean vs. Median Zones: The script plots levels based on both the historical mean (average) and median (middle value). The shaded area between them creates a zone rather than a single price line, offering a more practical range for analysis. ________________________________________ 🛠️ Settings and Features • Projection Timeframe: Select the primary timeframe for the analysis (4H, 1D, or 1W). The historical data used for projections is specific to the chosen timeframe. • Historical Periods to Show: Adjust how many past periods of data you want to see on your chart. A value of 1 will only show the projections for the current, active period. • Timezone (UTC-4): The 4H calculations are based on a fixed UTC-4 timezone to align with specific, high-volume market sessions (e.g., New York open). This is not changeable to ensure data consistency. • Visual Customization: You have full control over the appearance of the indicator. o Toggle the visibility, colors, and line styles for the Open price line and each of the Manipulation/Distribution levels using their respective checkboxes and inputs. o Enable or disable the shaded fills between the mean and median levels. o Tip: To quickly hide all price labels at once, edit the "Label Color" setting and set its opacity to 100% (fully transparent).
Indicador Pine Script®
por tncylyv
MA Angle Monitor — Multi-Timeframe (Non-Repainting Option)📘 MA Angle Monitor — Multi-Timeframe (Non-Repainting Option) The MA Angle Monitor — Multi-Timeframe indicator calculates and compares the slope of a selected moving average (SMA or EMA) across multiple timeframes. It highlights when all monitored timeframes show similar slope direction and provides visual and alert-based feedback about those conditions. 🔧 Main Functions Evaluates the change in moving-average value (angle) between two points defined by the user. Supports up to four custom timeframes that can be individually selected. Allows the use of either Simple or Exponential moving averages. Displays background color and optional labels when all chosen timeframes show matching slope direction (up or down). Generates optional alerts when alignment conditions appear or when they no longer match. ⚙️ Inputs MA Type: Select between SMA or EMA. MA Period: Period length of the moving average. Slope Lookback Bars: Number of bars used for slope comparison. Angle Threshold: Minimum required difference between current and prior MA value. Timeframe 1–4: User-defined timeframes for multi-timeframe analysis. Confirmed-Close Mode: When enabled, uses only closed higher-timeframe data for non-repainting results. Show Labels / Enable Alerts: Toggles for visual and alert features. 🖥️ Visuals and Alerts Background shading and optional labels indicate when all selected timeframes are sloping in the same direction. Built-in alerts can be configured for: All timeframes sloping upward All timeframes sloping downward End of previous alignment 📊 Technical Notes The indicator can operate in two modes: Real-Time Mode: Updates during formation of higher-timeframe bars (may vary intrabar). Confirmed-Close Mode: Uses only completed higher-timeframe bars for stable, non-repainting calculations. Designed for visual confirmation of slope alignment; it does not generate trading or investment signals. This version: ✅ Removes all promotional or performance claims. ✅ Avoids terms like “high-probability,” “helps traders,” or “powerful.” ✅ Focuses on describing what the tool does and how it functions. ✅ Fully aligns with TradingView’s published House Rules. Would you like me to also re-write your Release Notes section in the same compliant tone (so both sections meet their moderation standards)?
Indicador Pine Script®
por readysetfire
Spot vs Leverage — Lite (QQQ/NQ) The indicator works like a thermometer for the quality of a market move. Score > +20 → “Spot dominant” 👉 The rise (or price stability) is supported by real buying: strong cash/ETF/equity inflows, positive price–volume correlation, low or negative basis (futures aren’t artificially pulling price up). → This is a healthy, structurally solid rally. Score < −20 → “Leverage dominant” 👉 The move is mostly driven by leverage: overbought futures, options speculation, weak spot volume. → The trend is fragile — it can collapse quickly if leveraged positions unwind (deleverage, inverse short squeeze, etc.). Zone between −20 and +20 → Neutral / mixed → The market is balanced — neither purely “air” nor purely “cash.”
Indicador Pine Script®
por sugogou