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Market Cipher B ReplicaMarket Cipher B Replica for Pine Script v6 This script is a custom indicator for TradingView inspired by the popular Market Cipher B. It combines several market strength and momentum signals into a single, visually-rich oscillator, including: RSI (Relative Strength Index) MFI (Money Flow Index) VWAP (Volume Weighted Average Price) Custom momentum waves (multi-stage EMA smoothing) Histogram for short-term momentum Visual signals: Colored wave fills above/below zero Green/Red dots on momentum wave crossovers Yellow/Blue pivot markers for local highs/lows Trigger dots for potential reversals Dynamic background coloring for market states (overbought, oversold, confluence, VWAP clouds) All major features are toggleable, so you can customize what’s displayed for clarity and focus. Purpose: To help traders visually identify market momentum shifts, trend reversals, and areas of potential exhaustion or confluence—similar to what the original Market Cipher B does, but fully open-source and customizable.
Pine Script® indicator
by payday650
Market Balance LevelMarket Balance Level (MBL) This indicator dynamically identifies price consolidation zones (market balance levels) and plots a horizontal line at the average midpoint of the range once a valid breakout occurs. It helps traders visualize key zones where the market was previously in equilibrium and is likely to retest before continuing its trend. How It Works: Detects consolidation ranges using consecutive candles within a tight high-low structure. When a breakout occurs (above or below the range), it plots a line at the average midpoint of the consolidation. Triangles are drawn on breakouts to visually confirm the breakout direction. Lines can be customized by color, width, and breakout direction (bullish, bearish, or both). Recommended Use: Wait for price to return to the Market Balance Level (MBL). These levels often act as strong support or resistance. Enter upon engulfment (candle closes strongly in the direction of the breakout), confirming continuation. Features: Adjustable consolidation sensitivity and line length. Option to show/hide bullish or bearish MBLs. Visual breakout markers (triangles) with alert support. Optional alert messages for breakout events. Use this tool to enhance your structure-based or SMC-style trading strategies.
Pine Script® indicator
by The_Forex_Steward
Turtle God IndicatorThe Turtle God indicator displays a turtle icon 🐢 on the most recent candle only, helping traders track current candle behavior at a glance. ✅ Green Turtle above the candle if it’s bullish (close > open) 🔻 Red Turtle below the candle if it’s bearish (close < open) 📌 Only the latest candle is marked — no historical clutter This tool is useful for: Live price action observation Real-time signal overlays Clean chart setups with dynamic candle feedback
Pine Script® indicator
by namtrhg
Engulfing Candles LP v0.12An indicator designed to detect engulfing candles, with customizable tolerance settings. This allows you to adjust for differences in decimal precision across instruments—for example, XAU typically uses 2–3 decimal places, while EURUSD uses five. The engulfing tolerance setting ensures the indicator works accurately across various markets. Color coding: Purple : Engulfing candles that are not at least twice the size of the previous candle. Red/Green : Engulfing candles that are at least 2x larger than the previous candle (Green for bullish, Red for bearish).
Pine Script® indicator
by louis_pang
Differential-Isaac-Newton Description of the Differential-Isaac-Newton Indicator (DF-Newton) This indicator plots custom Fibonacci levels on the chart using configurable multiples and offers various display options to assist with technical analysis. What does it do? Calculates and plots Fibonacci levels based on user-defined multiples (default multiple is 20). Allows switching between long mode (buy) and short mode (sell) to adjust the levels accordingly. Displays horizontal lines at Fibonacci levels with customizable colors and styles. Shows labels with different information such as level price, Fibonacci percentage, and difference between levels. Includes controls to show/hide different elements and customize the appearance. How to use it? Main Settings Multiple of 2 for Fibonacci: Defines the percentage interval used to calculate Fibonacci levels (e.g., 20 creates levels at 0%, 20%, 40%, etc.). Line Horizontal Offset: Defines the horizontal distance (in bars) of the Fibonacci line to improve visibility. Short Mode: Enable to calculate levels based on a downward movement (from low to high). Classic Mode: Changes the line colors to a classic Fibonacci color scheme (blue, green, yellow, orange, red). Toggle Solid Line: Switches between solid and dotted lines for Fibonacci levels. Labels Choose which information to display on the labels next to the lines: Show Only Level Prices: Displays only the Fibonacci level price. Show Only Level Percentages: Displays only the Fibonacci percentage level. Show Difference Values (Δ): Shows the difference between the current and previous level, along with the percentage (which can be hidden). Hide Percentage in Difference Mode: Hides the percentage when difference mode is enabled. Hide All Labels: Hides all labels from the chart. Visual Customization Label Size: Size of the label text (XS, S, M, L). Label Horizontal Offset: Horizontal distance of labels relative to the lines. Background Offset: Adjusts background color offset for better visibility. Fibonacci Line Color: Color of the Fibonacci lines (when classic mode is off). Label Text Color: Color of the label text. Level Interpretation Fibonacci levels are calculated between the highest high and lowest low of the last 100 candles. The indicator plots horizontal lines at Fibonacci levels according to the selected multiple. Line colors help identify important levels (configurable in classic mode). Labels show the exact level price and Fibonacci percentage, helping with entry, exit, support, and resistance decisions. Recommendations Use Short Mode to analyze Fibonacci levels for sell trades. Use Classic Mode for a traditional color scheme and easier identification. Adjust Line Horizontal Offset to avoid overlapping current candles. Combine price and percentage display for easier analysis. Explore Difference Mode (Δ) to understand gaps between consecutive Fibonacci levels. Practical Example If you set the multiple to 20, the indicator will show levels at 0%, 20%, 40%, 60%, 80%, and 100%. Each level will have a horizontal line and a label showing the corresponding price and percentage, or the difference from the previous level, depending on your settings.
Pine Script® indicator
by Canhoto-Medium
9
Enhanced MA Cloud Guru ProEnhanced MA Cloud Guru Pro — Indicator Description The Enhanced MA Cloud Guru Pro is a multi-layered trend and signal tool designed to visualize both short-term momentum and long-term trend context using six customizable moving averages. 🔹 Core Features: MA Clouds: Two distinct "clouds" are plotted: MA Cloud 1–3 (short-term trend) MA Cloud 4–6 (long-term trend) Clouds are color-coded: bullish, bearish, or neutral, based on moving average alignment. Contrarian Crossover Signals: Buy signal: when MA1 crosses above MA3, but long-term cloud (MA4–6) is bearish or neutral — suggesting a potential reversal or early trend shift. Sell signal: when MA1 crosses below MA3, while MA4–6 is bullish or neutral — indicating a possible breakdown or reversal. Cloud-to-Cloud Entry Signals: Bullish signal: when the short-term MA cloud enters upward into the long-term cloud from below. Bearish signal: when the short-term MA cloud enters downward into the long-term cloud from above. These mark potential trend transition zones or conflict between timeframes. Cooldown Logic: Adjustable cooldown bars prevent signal clustering and reduce noise. 🔹 Customization: All MAs are independently adjustable in length and type (SMA, EMA, WMA, HMA). Cloud transparency, colors, and signal timing can be tailored to user preference. 🧠 Use Case: This indicator is ideal for: Traders who want early trend reversal clues (contrarian logic) Visualizing interaction between short- and long-term structure Combining momentum shifts with long-term trend filters
Pine Script® indicator
by Es-Sniper
Volatility Quality [Alpha Extract]The Alpha-Extract Volatility Quality (AVQ) Indicator provides traders with deep insights into market volatility by measuring the directional strength of price movements. This sophisticated momentum-based tool helps identify overbought and oversold conditions, offering actionable buy and sell signals based on volatility trends and standard deviation bands. 🔶 CALCULATION The indicator processes volatility quality data through a series of analytical steps: Bar Range Calculation: Measures true range (TR) to capture price volatility. Directional Weighting: Applies directional bias (positive for bullish candles, negative for bearish) to the true range. VQI Computation: Uses an exponential moving average (EMA) of weighted volatility to derive the Volatility Quality Index (VQI). vqiRaw = ta.ema(weightedVol, vqiLen) Smoothing: Applies an additional EMA to smooth the VQI for clearer signals. Normalization: Optionally normalizes VQI to a -100/+100 scale based on historical highs and lows. Standard Deviation Bands: Calculates three upper and lower bands using standard deviation multipliers for volatility thresholds. vqiStdev = ta.stdev(vqiSmoothed, vqiLen) upperBand1 = vqiSmoothed + (vqiStdev * stdevMultiplier1) upperBand2 = vqiSmoothed + (vqiStdev * stdevMultiplier2) upperBand3 = vqiSmoothed + (vqiStdev * stdevMultiplier3) lowerBand1 = vqiSmoothed - (vqiStdev * stdevMultiplier1) lowerBand2 = vqiSmoothed - (vqiStdev * stdevMultiplier2) lowerBand3 = vqiSmoothed - (vqiStdev * stdevMultiplier3) Signal Generation: Produces overbought/oversold signals when VQI reaches extreme levels (±200 in normalized mode). Formula: Bar Range = True Range (TR) Weighted Volatility = Bar Range × (Close > Open ? 1 : Close < Open ? -1 : 0) VQI Raw = EMA(Weighted Volatility, VQI Length) VQI Smoothed = EMA(VQI Raw, Smoothing Length) VQI Normalized = ((VQI Smoothed - Lowest VQI) / (Highest VQI - Lowest VQI) - 0.5) × 200 Upper Band N = VQI Smoothed + (StdDev(VQI Smoothed, VQI Length) × Multiplier N) Lower Band N = VQI Smoothed - (StdDev(VQI Smoothed, VQI Length) × Multiplier N) 🔶 DETAILS Visual Features: VQI Plot: Displays VQI as a line or histogram (lime for positive, red for negative). Standard Deviation Bands: Plots three upper and lower bands (teal for upper, grayscale for lower) to indicate volatility thresholds. Reference Levels: Horizontal lines at 0 (neutral), +100, and -100 (in normalized mode) for context. Zone Highlighting: Overbought (⋎ above bars) and oversold (⋏ below bars) signals for extreme VQI levels (±200 in normalized mode). Candle Coloring: Optional candle overlay colored by VQI direction (lime for positive, red for negative). Interpretation: VQI ≥ 200 (Normalized): Overbought condition, strong sell signal. VQI 100–200: High volatility, potential selling opportunity. VQI 0–100: Neutral bullish momentum. VQI 0 to -100: Neutral bearish momentum. VQI -100 to -200: High volatility, strong bearish momentum. VQI ≤ -200 (Normalized): Oversold condition, strong buy signal. 🔶 EXAMPLES Overbought Signal Detection: When VQI exceeds 200 (normalized), the indicator flags potential market tops with a red ⋎ symbol. Example: During strong uptrends, VQI reaching 200 has historically preceded corrections, allowing traders to secure profits. Oversold Signal Detection: When VQI falls below -200 (normalized), a lime ⋏ symbol highlights potential buying opportunities. Example: In bearish markets, VQI dropping below -200 has marked reversal points for profitable long entries. Volatility Trend Tracking: The VQI plot and bands help traders visualize shifts in market momentum. Example: A rising VQI crossing above zero with widening bands indicates strengthening bullish momentum, guiding traders to hold or enter long positions. Dynamic Support/Resistance: Standard deviation bands act as dynamic volatility thresholds during price movements. Example: Price reversals often occur near the third standard deviation bands, providing reliable entry/exit points during volatile periods. 🔶 SETTINGS Customization Options: VQI Length: Adjust the EMA period for VQI calculation (default: 14, range: 1–50). Smoothing Length: Set the EMA period for smoothing (default: 5, range: 1–50). Standard Deviation Multipliers: Customize multipliers for bands (defaults: 1.0, 2.0, 3.0). Normalization: Toggle normalization to -100/+100 scale and adjust lookback period (default: 200, min: 50). Display Style: Switch between line or histogram plot for VQI. Candle Overlay: Enable/disable VQI-colored candles (lime for positive, red for negative). The Alpha-Extract Volatility Quality Indicator empowers traders with a robust tool to navigate market volatility. By combining directional price range analysis with smoothed volatility metrics, it identifies overbought and oversold conditions, offering clear buy and sell signals. The customizable standard deviation bands and optional normalization provide precise context for market conditions, enabling traders to make informed decisions across various market cycles.
Pine Script® indicator
by AlphaExtract
1
MACD Breakout SuperCandlesMACD Breakout SuperCandles The MACD Breakout SuperCandles indicator is a candle-coloring tool that monitors trend alignment across multiple timeframes using a combination of MACD behavior and simple price structure. It visually reflects market sentiment directly on price candles, helping traders quickly recognize shifting momentum conditions. How It Works The script evaluates trend behavior based on: - Multi-timeframe MACD Analysis: Uses MACD values and signal line relationships to gauge trend direction and strength. - Price Relative to SMA Zones: Analyzes whether price is positioned above or below the 20-period high and low SMAs on each timeframe. For each timeframe, the script assigns one of five possible trend statuses: - SUPERBULL: Strong bullish MACD signal with price above both SMAs. - Bullish: Bullish MACD crossover with price showing upward bias. - Basing: MACD flattening or neutralizing near zero with no directional dominance. - Bearish: Bearish MACD signal without confirmation of stronger trend. - SUPERBEAR: Strong bearish MACD signal with price below both SMAs. -Ghost Candles: Candles with basing attributes that can signal directional change or trend strength. Signal Scoring System The script compares conditions across four timeframes: - TF1 (Short) - TF2 (Medium) - TF3 (Long) - MACD at a fixed 10-minute resolution Each status type is tracked independently. A colored candle is only applied when a status type (e.g., SUPERBULL) reaches the minimum match threshold, defined by the "Min Status Matches for Candle Color" setting. If no status meets the required threshold, the candle is displayed in a neutral "Ghost" color. Customizable Visuals The indicator offers full control over candle appearance via grouped settings: Body Colors - SUPERBULL Body - Bullish Body - Basing Body - Bearish Body - SUPERBEAR Body - Ghost Candle Body (used when no match) Border & Wick Colors - SUPERBULL Border/Wick - Bullish Border/Wick - Basing Border/Wick - Bearish Border/Wick - SUPERBEAR Border/Wick - Ghost Border/Wick Colors are grouped by function and can be adjusted independently to match your chart theme or personal preferences. Settings Overview - TF1, TF2, TF3: Select short, medium, and long timeframes to monitor trend structure. - Min Status Matches: Set how many timeframes must agree before a candle status is applied. - MACD Settings: Customize MACD fast, slow, and signal lengths, and choose MA type (EMA, SMA, WMA). This tool helps visualize how aligned various timeframe conditions are by embedding sentiment into the candles themselves. It can assist with trend identification, momentum confirmation, or visual filtering for discretionary strategies.
Pine Script® indicator
by Midgar-
5
Multifractal Forecast [ScorsoneEnterprises]Multifractal Forecast Indicator The Multifractal Forecast is an indicator designed to model and forecast asset price movements using a multifractal framework. It uses concepts from fractal geometry and stochastic processes, specifically the Multifractal Model of Asset Returns (MMAR) and fractional Brownian motion (fBm), to generate price forecasts based on historical price data. The indicator visualizes potential future price paths as colored lines, providing traders with a probabilistic view of price trends over a specified trading time scale. Below is a detailed breakdown of the indicator’s functionality, inputs, calculations, and visualization. Overview Purpose: The indicator forecasts future price movements by simulating multiple price paths based on a multifractal model, which accounts for the complex, non-linear behavior of financial markets. Key Concepts: Multifractal Model of Asset Returns (MMAR): Models price movements as a multifractal process, capturing varying degrees of volatility and self-similarity across different time scales. Fractional Brownian Motion (fBm): A generalization of Brownian motion that incorporates long-range dependence and self-similarity, controlled by the Hurst exponent. Binomial Cascade: Used to model trading time, introducing heterogeneity in time scales to reflect market activity bursts. Hurst Exponent: Measures the degree of long-term memory in the price series (persistence, randomness, or mean-reversion). Rescaled Range (R/S) Analysis: Estimates the Hurst exponent to quantify the fractal nature of the price series. Inputs The indicator allows users to customize its behavior through several input parameters, each influencing the multifractal model and forecast generation: Maximum Lag (max_lag): Type: Integer Default: 50 Minimum: 5 Purpose: Determines the maximum lag used in the rescaled range (R/S) analysis to calculate the Hurst exponent. A higher lag increases the sample size for Hurst estimation but may smooth out short-term dynamics. 2 to the n values in the Multifractal Model (n): Type: Integer Default: 4 Purpose: Defines the resolution of the multifractal model by setting the size of arrays used in calculations (N = 2^n). For example, n=4 results in N=16 data points. Larger n increases computational complexity and detail but may exceed Pine Script’s array size limits (capped at 100,000). Multiplier for Binomial Cascade (m): Type: Float Default: 0.8 Purpose: Controls the asymmetry in the binomial cascade, which models trading time. The multiplier m (and its complement 2.0 - m) determines how mass is distributed across time scales. Values closer to 1 create more balanced cascades, while values further from 1 introduce more variability. Length Scale for fBm (L): Type: Float Default: 100,000.0 Purpose: Scales the fractional Brownian motion output, affecting the amplitude of simulated price paths. Larger values increase the magnitude of forecasted price movements. Cumulative Sum (cum): Type: Integer (0 or 1) Default: 1 Purpose: Toggles whether the fBm output is cumulatively summed (1=On, 0=Off). When enabled, the fBm series is accumulated to simulate a price path with memory, resembling a random walk with long-range dependence. Trading Time Scale (T): Type: Integer Default: 5 Purpose: Defines the forecast horizon in bars (20 bars into the future). It also scales the binomial cascade’s output to align with the desired trading time frame. Number of Simulations (num_simulations): Type: Integer Default: 5 Minimum: 1 Purpose: Specifies how many forecast paths are simulated and plotted. More simulations provide a broader range of possible price outcomes but increase computational load. Core Calculations The indicator combines several mathematical and statistical techniques to generate price forecasts. Below is a step-by-step explanation of its calculations: Log Returns (lgr): The indicator calculates log returns as math.log(close / close ) when both the current and previous close prices are positive. This measures the relative price change in a logarithmic scale, which is standard for financial time series analysis to stabilize variance. Hurst Exponent Estimation (get_hurst_exponent): Purpose: Estimates the Hurst exponent (H) to quantify the degree of long-term memory in the price series. Method: Uses rescaled range (R/S) analysis: For each lag from 2 to max_lag, the function calc_rescaled_range computes the rescaled range: Calculate the mean of the log returns over the lag period. Compute the cumulative deviation from the mean. Find the range (max - min) of the cumulative deviation. Divide the range by the standard deviation of the log returns to get the rescaled range. The log of the rescaled range (log(R/S)) is regressed against the log of the lag (log(lag)) using the polyfit_slope function. The slope of this regression is the Hurst exponent (H). Interpretation: H = 0.5: Random walk (no memory, like standard Brownian motion). H > 0.5: Persistent behavior (trends tend to continue). H < 0.5: Mean-reverting behavior (price tends to revert to the mean). Fractional Brownian Motion (get_fbm): Purpose: Generates a fractional Brownian motion series to model price movements with long-range dependence. Inputs: n (array size 2^n), H (Hurst exponent), L (length scale), cum (cumulative sum toggle). Method: Computes covariance for fBm using the formula: 0.5 * (|i+1|^(2H) - 2 * |i|^(2H) + |i-1|^(2H)). Uses Hosking’s method (referenced from Columbia University’s implementation) to generate fBm: Initializes arrays for covariance (cov), intermediate calculations (phi, psi), and output. Iteratively computes the fBm series by incorporating a random term scaled by the variance (v) and covariance structure. Applies scaling based on L / N^H to adjust the amplitude. Optionally applies cumulative summation if cum = 1 to produce a path with memory. Output: An array of 2^n values representing the fBm series. Binomial Cascade (get_binomial_cascade): Purpose: Models trading time (theta) to account for non-uniform market activity (e.g., bursts of volatility). Inputs: n (array size 2^n), m (multiplier), T (trading time scale). Method: Initializes an array of size 2^n with values of 1.0. Iteratively applies a binomial cascade: For each block (from 0 to n-1), splits the array into segments. Randomly assigns a multiplier (m or 2.0 - m) to each segment, redistributing mass. Normalizes the array by dividing by its sum and scales by T. Checks for array size limits to prevent Pine Script errors. Output: An array (theta) representing the trading time, which warps the fBm to reflect market activity. Interpolation (interpolate_fbm): Purpose: Maps the fBm series to the trading time scale to produce a forecast. Method: Computes the cumulative sum of theta and normalizes it to . Interpolates the fBm series linearly based on the normalized trading time. Ensures the output aligns with the trading time scale (T). Output: An array of interpolated fBm values representing log returns over the forecast horizon. Price Path Generation: For each simulation (up to num_simulations): Generates an fBm series using get_fbm. Interpolates it with the trading time (theta) using interpolate_fbm. Converts log returns to price levels: Starts with the current close price. For each step i in the forecast horizon (T), computes the price as prev_price * exp(log_return). Output: An array of price levels for each simulation. Visualization: Trigger: Updates every T bars when the bar state is confirmed (barstate.isconfirmed). Process: Clears previous lines from line_array. For each simulation, plots a line from the current bar’s close price to the forecasted price at bar_index + T. Colors the line using a gradient (color.from_gradient) based on the final forecasted price relative to the minimum and maximum forecasted prices across all simulations (red for lower prices, teal for higher prices). Output: Multiple colored lines on the chart, each representing a possible price path over the next T bars. How It Works on the Chart Initialization: On each bar, the indicator calculates the Hurst exponent (H) using historical log returns and prepares the trading time (theta) using the binomial cascade. Forecast Generation: Every T bars, it generates num_simulations price paths: Each path starts at the current close price. Uses fBm to model log returns, warped by the trading time. Converts log returns to price levels. Plotting: Draws lines from the current bar to the forecasted price T bars ahead, with colors indicating relative price levels. Dynamic Updates: The forecast updates every T bars, replacing old lines with new ones based on the latest price data and calculations. Key Features Multifractal Modeling: Captures complex market dynamics by combining fBm (long-range dependence) with a binomial cascade (non-uniform time). Customizable Parameters: Allows users to adjust the forecast horizon, model resolution, scaling, and number of simulations. Probabilistic Forecast: Multiple simulations provide a range of possible price outcomes, helping traders assess uncertainty. Visual Clarity: Gradient-colored lines make it easy to distinguish bullish (teal) and bearish (red) forecasts. Potential Use Cases Trend Analysis: Identify potential price trends or reversals based on the direction and spread of forecast lines. Risk Assessment: Evaluate the range of possible price outcomes to gauge market uncertainty. Volatility Analysis: The Hurst exponent and binomial cascade provide insights into market persistence and volatility clustering. Limitations Computational Intensity: Large values of n or num_simulations may slow down execution or hit Pine Script’s array size limits. Randomness: The binomial cascade and fBm rely on random terms (math.random), which may lead to variability between runs. Assumptions: The model assumes log-normal price movements and fractal behavior, which may not always hold in extreme market conditions. Adjusting Inputs: Set max_lag based on the desired depth of historical analysis. Adjust n for model resolution (start with 4–6 to avoid performance issues). Tune m to control trading time variability (0.5–1.5 is typical). Set L to scale the forecast amplitude (experiment with values like 10,000–1,000,000). Choose T based on your trading horizon (20 for short-term, 50 for longer-term for example). Select num_simulations for the number of forecast paths (5–10 is reasonable for visualization). Interpret Output: Teal lines suggest bullish scenarios, red lines suggest bearish scenarios. A wide spread of lines indicates high uncertainty; convergence suggests a stronger trend. Monitor Updates: Forecasts update every T bars, so check the chart periodically for new projections. Chart Examples This is a daily AMEX:SPY chart with default settings. We see the simulations being done every T bars and they provide a range for us to analyze with a few simulations still in the range. On this intraday PEPPERSTONE:COCOA chart I modified the Length Scale for fBm, L, parameter to be 1000 from 100000. Adjusting the parameter as you switch between timeframes can give you more contextual simulations. On BITSTAMP:ETHUSD I modified the L to be 1000000 to have a more contextual set of simulations with crypto's volatile nature. With L at 100000 we see the range for NASDAQ:TLT is correctly simulated. The recent pop stays within the bounds of the highest simulation. Note this is a cherry picked example to show the power and potential of these simulations. Technical Notes Error Handling: The script includes checks for array size limits and division by zero (math.abs(denominator) > 1e-10, v := math.max(v, 1e-10)). External Reference: The fBm implementation is based on Hosking’s method (www.columbia.edu), ensuring a robust algorithm. Conclusion The Multifractal Forecast is a powerful tool for traders seeking to model complex market dynamics using a multifractal framework. By combining fBm, binomial cascades, and Hurst exponent analysis, it generates probabilistic price forecasts that account for long-range dependence and non-uniform market activity. Its customizable inputs and clear visualizations make it suitable for both technical analysis and strategy development, though users should be mindful of its computational demands and parameter sensitivity. For optimal use, experiment with input settings and validate forecasts against other technical indicators or market conditions.
Pine Script® indicator
by ScorsoneEnterprises
4-EMA Signals 3.04-EMA Signals: Multi-Timeframe Trading Indicator Overview 4-EMA Signals 3.0 is a trading indicator that combines exponential moving averages, volume analysis, and multi-timeframe trend assessment to provide high-probability entry and exit signals. Designed for both day traders and swing traders, it offers a comprehensive approach to market analysis. Key Features: EMA System -- our Configurable EMAs: Fast (7), Medium-Short (25), Medium-Long (70), and Slow (200) -- Preset Configurations: Choose between Custom, Conservative (9/20/50/200), Aggressive (5/10/20/50), or Fibonacci (8/21/55/144) -- Visual Clarity: Color-coded EMAs for quick trend identification -- Non-Repainting Signals: All signals use confirmed bars only, ensuring reliability for back-testing -- Signal Generation Six Crossover Combinations: Detects all possible crossovers between the four EMAs -- Buy/Sell Visualization: Green triangles (buy) and red triangles (sell) clearly mark entry points -- Volume Confirmation: Optional volume filter with adjustable sensitivity (0.1-3.0) -- Alert System: Customizable alerts for all signal types Multi-Timeframe Analysis -- Three Timeframe Analysis: 5-minute, 1-hour, and 4-hour trend detection -- Higher Timeframe Bias: Overall market direction assessment based on EMA alignment --Visual Table Display: Color-coded table showing trend status across all timeframes Trading Session Tracking -- Major Sessions: London (08:00-17:00), New York (13:00-22:00), Asia (22:00-08:00), Sydney (22:00-07:00) -- Session Indicators: Background colors distinguish active trading sessions -- GMT+1 Timezone: Optimized for European trading schedule Volume Analytics -- Volume Filter: Compare current volume against 20-period SMA with adjustable sensitivity -- Per Candle Volume: Real-time volume data for the current candle -- Daily Volume: Track total daily volume in thousands Trading Applications -- Trend Following: Use EMA alignment to identify strong directional moves -- Scalping: Fast EMA crosses provide quick entry and exit points -- Swing Trading: Higher timeframe analysis helps identify broader market bias -- Session Trading: Optimize entries based on specific market sessions -- Risk Management: Volume filter helps avoid low-liquidity, high-risk trades Technical Details -- Pine Script Version: v5 -- Chart Compatibility: Works on all timeframes and markets -- Performance Optimized: Efficient code with max_labels_count limit -- Non-Repainting: Reliable signals that don't change after formation The 4-EMA Signals indicator combines the simplicity of moving average crossovers with the depth of multi-timeframe analysis and volume confirmation, creating a powerful yet easy-to-use trading tool for traders of all experience levels.
Pine Script® indicator
by Troste_1
Math by Thomas - SMC OB + FVG📄 Description This script is designed for traders following the Smart Money Concepts (SMC) methodology. It automatically detects: ✅ Bullish and Bearish Order Blocks (OBs) based on structural breakouts, displacement, and volume conditions. ✅ Fair Value Gaps (FVGs) using a 3-candle price imbalance model. 🔄 Both OBs and FVGs clean up dynamically when invalidated by price action. Built with institutional logic, this tool helps identify areas of interest for potential reversals, liquidity grabs, or mitigation plays. ⚙️ How It Works 🔷 Order Blocks (OB) A Bullish OB is marked after a Break of Structure (BOS) to the upside. A Bearish OB is marked after BOS to the downside. Filters like displacement candle and volume spike can be toggled in settings. Boxes are drawn from the opposing candle in the move, and will disappear once broken or expired. 🟥 Fair Value Gaps (FVG) FVGs are detected when the middle candle leaves a price imbalance between the first and third candle. Zones are marked with transparent boxes. Labels (FVG) appear only once every 20 bars to reduce clutter. Gaps are removed only after a full candle closes through the zone (conservative logic). 🛠️ User Settings Choose volume multiplier and ATR period for OB displacement logic. Set box extension, label transparency, and cleanup behavior. Full control over colors and midline display. 📈 How to Use Apply the indicator to any chart (works best on indices, forex, crypto). Use OBs as points of interest for potential reaction zones or mitigation setups. Use FVGs to identify imbalances that may attract price. Watch for confluence between OBs and FVGs for high-probability entries. 📚 Best Practice Use on 15m–1h timeframe for clean structure. Align with higher TF bias for direction. Combine with liquidity sweeps, EQH/EQL, or breaker blocks for refinement.
Pine Script® indicator
by MathThomas
3
Futures Margin Lookup TableThis script applies a table to your chart, which provides the intraday and overnight margin requirements of the currently selected symbol. In this indicator the user must provide the broker data in the form of specifically formatted text blocks. The data for which should be found on the broker website under futures margin requirements. The purpose for it's creation is due to the non-standard way each individual broker may price their margins and lack of information within TradingView when connected to some (maybe all) brokers, including during paper trading, as the flat percentage rule is not accurate. An example of information could look like this MES;Micro S&P;$50;$2406 ES;E-Mini S&P;$500;$24,053 GC;Gold;$500;$16500 NQ;E-Mini Nasdaq;$1,000;$34,810 FDAX;Dax Index;€2,000;€44,311 Each symbol begins a new line, and the values on that line are separated by semicolons (;) Each line consists of the following... SYMBOL : Search string used to match to the beginning of the current chart symbol. NAME: Human readable name INTRA: Intraday trading margin requirement per contract OVERNIGHT: Overnight trading margin requirement per contract The script simply finds a matching line within your provided information using the current chart symbol. So for example the continuous chart for NQ1! would match to the user specified line starting with NQ... as would the individual contract dates such as NQM2025, NQK2025, etc. NOTES: There is a possibility that symbols with similar starting characters could match. If this is the case put the longer symbol higher in the list. There is also a line / character limit to the text input fields within pinescript. Ensure the text you enter / paste into them is not truncated. If so there are 3 input fields for just this purpose. Find the last complete line and continue the remaining symbol lines on the subsequent inputs.
Pine Script® indicator
by sannyasi007
Ichimoku Ervin Ichimoku Ervin Indicator Version 2.47 This advanced Ichimoku indicator, version 2.47, is presented with a special design and settings that help improve the accuracy of technical analysis. The most important features of this version are: Dual Ichimoku Plotting with Different Periods: This indicator simultaneously draws two Ichimoku sets: First set with a period of 26 (26-period cloud) Second set with a period of 0 (0 cloud) The 0 cloud feature allows the analyst to shift the position of this cloud forward or backward at will (e.g., 9 or 18 periods ahead or behind the current candle), depending on their trading strategy, to identify more sensitive areas of the chart for analyzing the market’s future or reviewing its past. This capability provides the user with a deeper understanding of trend behavior and its strength. Period Settings: The main periods of this indicator are defined as: 103, 216, 63, and 540 Additionally, the value 540 performs with higher sensitivity specifically on the 1-hour (H1) time frame and lower, providing the analyst with faster and more accurate signals. Time Cycles: This indicator includes three key time cycles: 9, 26, and 52 periods, each representing different phases of the market and potential points for trend reversal. accurately identify both short-term and long-term trends Two Exponential Moving Averages (EMA): It uses two EMAs with periods of 50 and 1440, where 1440 operates more sensitively on the 1-hour time frame and lower, helping the analyst to. Order Block (OB): One of the key features of this version is the display of Order Block (OB) zones. These are areas on the chart where high trading volumes and major decision-making by large traders (such as banks and financial institutions) have occurred. Accurate identification of these zones helps traders choose more optimal entry and exit points and significantly reduce their trading risk. This indicator has been released on the occasion of Eid al-Ghadir Khumm, and version 2.47 comes with special features. A professional tool for more precise market analysis. Happy Eid! 🌸
Pine Script® indicator
by zbgjet