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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® göstergesi
Es-Sniper tarafından
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® göstergesi
AlphaExtract tarafından
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® göstergesi
Midgar- tarafından
4
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® göstergesi
ScorsoneEnterprises tarafından
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® göstergesi
Troste_1 tarafından
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® göstergesi
MathThomas tarafından
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® göstergesi
sannyasi007 tarafından
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® göstergesi
zbgjet tarafından
Fibonacci Entry Bands [AlgoAlpha]OVERVIEW This script plots Fibonacci Entry Bands, a trend-following and mean-reversion hybrid system built around dynamic volatility-adjusted bands scaled using key Fibonacci levels. It calculates a smoothed basis line and overlays multiple bands at fixed Fibonacci multipliers of either ATR or standard deviation. Depending on the trend direction, specific upper or lower bands become active, offering a clear framework for entry timing, trend identification, and profit-taking zones. CONCEPTS The core idea is to use Fibonacci levels—0.618, 1.0, 1.618, and 2.618—as multipliers on a volatility measure to form layered price bands around a trend-following moving average. Trends are defined by whether the basis is rising or falling. The trend determines which side of the bands is emphasized: upper bands for downtrends, lower bands for uptrends. This approach captures both directional bias and extreme price extensions. Take-profit logic is built in via crossovers relative to the outermost bands, scaled by user-selected aggressiveness. FEATURES Basis Line – A double EMA smoothing of the source defines trend direction and acts as the central mean. Volatility Bands – Four levels per side (based on selected ATR or stdev) mark the Fibonacci bands. These become visible only when trend direction matches the side (e.g., only lower bands plot in an uptrend). Bar Coloring – Bars are shaded with adjustable transparency depending on distance from the basis, with color intensity helping gauge overextension. Entry Arrows – A trend shift triggers either a long or short signal, with a marker at the outermost band with ▲/▼ signs. Take-Profit Crosses – If price rejects near the outer band (based on aggressiveness setting), a cross appears marking potential profit-taking. Bounce Signals – Minor pullbacks that respect the basis line are marked with triangle arrows, hinting at continuation setups. Customization – Users can toggle bar coloring, signal markers, and select between ATR/stdev as well as take-profit aggressiveness. Alerts – All major signals, including entries, take-profits, and bounces, are available as alert conditions. USAGE To use this tool, load it on your chart, adjust the inputs for volatility method and aggressiveness, and wait for entries to form on trend changes. Use TP crosses and bounce arrows as potential exit or scale-in signals.
Pine Script® göstergesi
AlgoAlpha tarafından
4
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities. Theoretical Foundation Momentum Factor Research The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)². The momentum calculation methodology follows the academic standard: Momentum(t) = / P(t-n) × 100 Where P(t) is the current price and n is the lookback period. The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator. Indicator Architecture Core Components 1. Data Collection and Processing The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods). 2. Composite Oscillator Calculation Following Fama-French factor construction methodology, the indicator offers two weighting schemes: - Equal Weight: Each active stock receives identical weighting (1/n) - Market Cap Weight: Reserved for future enhancement 3. Oscillator Transformation Functions The indicator provides five distinct oscillator types, each with established technical analysis foundations: a) Momentum Oscillator (Default) - Pure rate-of-change calculation - Centered around zero - Direct implementation of Jegadeesh & Titman methodology b) RSI (Relative Strength Index) - Wilder's (1978) relative strength methodology - Transformed to center around zero for consistency - Scale: -50 to +50 c) Stochastic Oscillator - George Lane's %K methodology - Measures current position within recent range - Transformed to center around zero d) Williams %R - Larry Williams' range-based oscillator - Inverse stochastic calculation - Adjusted for zero-centered display e) CCI (Commodity Channel Index) - Donald Lambert's mean reversion indicator - Measures deviation from moving average - Scaled for optimal visualization Operational Modes Mode 1: Magnificent 7 Analysis Tracks the collective momentum of the seven constituent stocks. This mode is optimal for: - Technology sector analysis - Growth stock momentum assessment - Large-cap performance tracking Mode 2: S&P 500 Equal Weight Comparison Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides: - Broader market momentum context - Size-neutral market analysis - Comparison baseline for relative performance Mode 3: Relative Performance Analysis Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables: - Sector rotation analysis - Style factor assessment (Growth vs. Value) - Relative strength identification Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum Signal Generation and Thresholds Signal Classification The indicator generates three signal states: - Bullish: Oscillator > Upper Threshold (default: +2.0%) - Bearish: Oscillator < Lower Threshold (default: -2.0%) - Neutral: Oscillator between thresholds Relative Performance Signals In relative performance mode, specialized thresholds apply: - Outperformance: Relative momentum > +1.0% - Underperformance: Relative momentum < -1.0% Alert System Comprehensive alert conditions include: - Threshold crossovers (bullish/bearish signals) - Zero-line crosses (momentum direction changes) - Relative performance shifts - Breadth Analysis Component The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into: - Strong Breadth (>60%): Broad-based momentum - Weak Breadth (<40%): Narrow momentum leadership - Mixed Breadth (40-60%): Neutral momentum distribution Visual Design and User Interface Theme-Adaptive Display The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences. Professional Data Table A comprehensive data table displays: - Current oscillator value and percentage - Active mode and oscillator type - Signal status and strength - Component breakdowns (in relative performance mode) - Breadth percentage - Active threshold levels Custom Color Options Users can override default colors with custom selections for: - Neutral conditions (default: Material Blue) - Bullish signals (default: Material Green) - Bearish signals (default: Material Red) Practical Applications Portfolio Management - Sector Allocation: Use relative performance mode to time technology sector exposure - Risk Management: Monitor breadth deterioration as early warning signal - Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions Market Analysis - Trend Identification: Zero-line crosses indicate momentum regime changes - Divergence Analysis: Compare MAG7 performance against broader market - Volatility Assessment: Oscillator range and frequency provide volatility insights Strategy Development - Factor Timing: Implement growth factor timing strategies - Momentum Strategies: Develop systematic momentum-based approaches - Risk Parity: Use breadth metrics for risk-adjusted portfolio construction Configuration Guidelines Parameter Selection - Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment - Smoothing Period (1-50): Higher values reduce noise but increase lag - Thresholds: Adjust based on historical volatility and strategy requirements Timeframe Considerations - Daily Charts: Optimal for swing trading and medium-term analysis - Weekly Charts: Suitable for long-term trend analysis - Intraday Charts: Useful for short-term tactical decisions Limitations and Considerations Market Concentration Risk The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions. Momentum Persistence While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years). Correlation Dynamics During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity. Performance Metrics and Backtesting The indicator includes hidden plots for comprehensive backtesting: - Individual stock momentum values - Composite breadth percentage - S&P 500 Equal Weight momentum - Relative performance calculations These metrics enable quantitative strategy development and historical performance analysis. References ¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91. Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Pine Script® göstergesi
EdgeTools tarafından
SPX Weekly Expected Moves# SPX Weekly Expected Moves Indicator A professional Pine Script indicator for TradingView that displays weekly expected move levels for SPX based on real options data, with integrated Fibonacci retracement analysis and intelligent alerting system. ## Overview This indicator helps options and equity traders visualize weekly expected move ranges for the S&P 500 Index (SPX) by plotting historical and current week expected move boundaries derived from weekly options pricing. Unlike theoretical volatility calculations, this indicator uses actual market-based expected move data that you provide from options platforms. ## Key Features ### 📈 **Expected Move Visualization** - **Historical Lines**: Display past weeks' expected moves with configurable history (10, 26, or 52 weeks) - **Current Week Focus**: Highlighted current week with extended lines to present time - **Friday Close Reference**: Orange baseline showing the previous Friday's close price - **Timeframe Independent**: Works consistently across all chart timeframes (1m to 1D) ### 🎯 **Fibonacci Integration** - **Five Fibonacci Levels**: 23.6%, 38.2%, 50%, 61.8%, 76.4% between Friday close and expected move boundaries - **Color-Coded Levels**: - Red: 23.6% & 76.4% (outer levels) - Blue: 38.2% & 61.8% (golden ratio levels) - Black: 50% (midpoint - most critical level) - **Current Week Only**: Fibonacci levels shown only for active trading week to reduce clutter ### 📊 **Real-Time Information Table** - **Current SPX Price**: Live market price - **Expected Move**: ±EM value for current week - **Previous Close**: Friday close price (baseline for calculations) - **100% EM Levels**: Exact upper and lower boundary prices - **Current Location**: Real-time position within the EM structure (e.g., "Above 38.2% Fib (upper zone)") ### 🚨 **Intelligent Alert System** - **Zone-Aware Alerts**: Separate alerts for upper and lower zones - **Key Level Breaches**: Alerts for 23.6% and 76.4% Fibonacci level crossings - **Bar Close Based**: Alerts trigger on confirmed bar closes, not tick-by-tick - **Customizable**: Enable/disable alerts through settings ## How It Works ### Data Input Method The indicator uses a **manual data entry approach** where you input actual expected move values obtained from options platforms: ```pinescript // Add entries using the options expiration Friday date map.put(expected_moves, 20250613, 91.244) // Week ending June 13, 2025 map.put(expected_moves, 20250620, 95.150) // Week ending June 20, 2025 ``` ### Weekly Structure - **Monday 9:30 AM ET**: Week begins - **Friday 4:00 PM ET**: Week ends - **Lines Extend**: From Monday open to Friday close (historical) or current time + 5 bars (current week) - **Timezone Handling**: Uses "America/New_York" for proper DST handling ### Calculation Logic 1. **Base Price**: Previous Friday's SPX close price 2. **Expected Move**: Market-derived ±EM value from weekly options 3. **Upper Boundary**: Friday Close + Expected Move 4. **Lower Boundary**: Friday Close - Expected Move 5. **Fibonacci Levels**: Proportional levels between Friday close and EM boundaries ## Setup Instructions ### 1. Data Collection Obtain weekly expected move values from options platforms such as: - **ThinkOrSwim**: Use thinkBack feature to look up weekly expected moves - **Tastyworks**: Check weekly options expected move data - **CBOE**: Reference SPX weekly options data - **Manual Calculation**: (ATM Call Premium + ATM Put Premium) × 0.85 ### 2. Data Entry After each Friday close, update the indicator with the next week's expected move: ```pinescript // Example: On Friday June 7, 2025, add data for week ending June 13 map.put(expected_moves, 20250613, 91.244) // Actual EM value from your platform ``` ### 3. Configuration Customize the indicator through the settings panel: #### Visual Settings - **Show Current Week EM**: Toggle current week display - **Show Past Weeks**: Toggle historical weeks display - **Max Weeks History**: Choose 10, 26, or 52 weeks of history - **Show Fibonacci Levels**: Toggle Fibonacci retracement levels - **Label Controls**: Customize which labels to display #### Colors - **Current Week EM**: Default yellow for active week - **Past Weeks EM**: Default gray for historical weeks - **Friday Close**: Default orange for baseline - **Fibonacci Levels**: Customizable colors for each level type #### Alerts - **Enable EM Breach Alerts**: Master toggle for all alerts - **Specific Alerts**: Four alert types for Fibonacci level breaches ## Trading Applications ### Options Trading - **Straddle/Strangle Positioning**: Visualize breakeven levels for neutral strategies - **Directional Plays**: Assess probability of reaching target levels - **Earnings Plays**: Compare actual vs. expected move outcomes ### Equity Trading - **Support/Resistance**: Use EM boundaries and Fibonacci levels as key levels - **Breakout Trading**: Monitor for moves beyond expected ranges - **Mean Reversion**: Look for reversals at extreme Fibonacci levels ### Risk Management - **Position Sizing**: Gauge likely price ranges for the week - **Stop Placement**: Use Fibonacci levels for logical stop locations - **Profit Targets**: Set targets based on EM structure probabilities ## Technical Implementation ### Performance Features - **Memory Managed**: Configurable history limits prevent memory issues - **Timeframe Independent**: Uses timestamp-based calculations for consistency - **Object Management**: Automatic cleanup of drawing objects prevents duplicates - **Error Handling**: Robust bounds checking and NA value handling ### Pine Script Best Practices - **v6 Compliance**: Uses latest Pine Script version features - **User Defined Types**: Structured data management with WeeklyEM type - **Efficient Drawing**: Smart line/label creation and deletion - **Professional Standards**: Clean code organization and comprehensive documentation ## Customization Guide ### Adding New Weeks ```pinescript // Add after market close each Friday map.put(expected_moves, YYYYMMDD, EM_VALUE) ``` ### Color Schemes Customize colors for different trading styles: - **Dark Theme**: Use bright colors for visibility - **Light Theme**: Use contrasting dark colors - **Minimalist**: Use single color with transparency ### Label Management Control label density: - **Show Current Week Labels Only**: Reduce clutter for active trading - **Show All Labels**: Full information for analysis - **Selective Display**: Choose specific label types ## Troubleshooting ### Common Issues 1. **No Lines Appearing**: Check that expected move data is entered for current/recent weeks 2. **Wrong Time Display**: Ensure "America/New_York" timezone is properly handled 3. **Duplicate Lines**: Restart indicator if drawing objects appear duplicated 4. **Missing Fibonacci Levels**: Verify "Show Fibonacci Levels" is enabled ### Data Validation - **Expected Move Format**: Use positive numbers (e.g., 91.244, not ±91.244) - **Date Format**: Use YYYYMMDD format (e.g., 20250613) - **Reasonable Values**: Verify EM values are realistic (typically 50-200 for SPX) ## Version History ### Current Version - **Pine Script v6**: Latest version compatibility - **Fibonacci Integration**: Five-level retracement analysis - **Zone-Aware Alerts**: Upper/lower zone differentiation - **Dynamic Line Management**: Smart current week extension - **Professional UI**: Comprehensive information table ### Future Enhancements - **Multiple Symbols**: Extend beyond SPX to other indices - **Automated Data**: Integration with options data APIs - **Statistical Analysis**: Success rate tracking for EM predictions - **Additional Levels**: Custom percentage levels beyond Fibonacci ## License & Usage This indicator is designed for educational and trading purposes. Users are responsible for: - **Data Accuracy**: Ensuring correct expected move values - **Risk Management**: Proper position sizing and risk controls - **Market Understanding**: Comprehending options-based expected move concepts ## Support For questions, issues, or feature requests related to this indicator, please refer to the code comments and documentation within the Pine Script file. --- **Disclaimer**: This indicator is for informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
Pine Script® göstergesi
MovingIndex tarafından
Multi TF Oscillators Screener [TradingFinder] RSI / ATR / Stoch🔵 Introduction The oscillator screener is designed to simplify multi-timeframe analysis by allowing traders and analysts to monitor one or multiple symbols across their preferred timeframes—all at the same time. Users can track a single symbol through various timeframes simultaneously or follow multiple symbols in selected intervals. This flexibility makes the tool highly effective for analyzing diverse markets concurrently. At the core of this screener lie two essential oscillators: RSI (Relative Strength Index) and the Stochastic Oscillator. The RSI measures the speed and magnitude of recent price movements and helps identify overbought or oversold conditions. It's one of the most reliable indicators for spotting potential reversals. The Stochastic Oscillator, on the other hand, compares the current price to recent highs and lows to detect momentum strength and potential trend shifts. It’s especially effective in identifying divergences and short-term reversal signals. In addition to these two primary indicators, the screener also displays helpful supplementary data such as the dominant candlestick type (Bullish, Bearish, or Doji), market volatility indicators like ATR and TR, and the four key OHLC prices (Open, High, Low, Close) for each symbol and timeframe. This combination of data gives users a comprehensive technical view and allows for quick, side-by-side comparison of symbols and timeframes. 🔵 How to Use This tool is built for users who want to view the behavior of a single symbol across several timeframes simultaneously. Instead of jumping between charts, users can quickly grasp the state of a symbol like gold or Bitcoin across the 15-minute, 1-hour, and daily timeframes at a glance. This is particularly useful for traders who rely on multi-timeframe confirmation to strengthen their analysis and decision-making. The tool also supports simultaneous monitoring of multiple symbols. Users can select and track various assets based on the timeframes that matter most to them. For example, if you’re looking for entry opportunities, the screener allows you to compare setups across several markets side by side—making it easier to choose the most favorable trade. Whether you’re a scalper focused on low timeframes or a swing trader using higher ones, the tool adapts to your workflow. The screener utilizes the widely-used RSI indicator, which ranges from 0 to 100 and highlights market exhaustion levels. Readings above 70 typically indicate potential pullbacks, while values below 30 may suggest bullish reversals. Viewing RSI across timeframes can reveal meaningful divergences or alignments that improve signal quality. Another key indicator in the screener is the Stochastic Oscillator, which analyzes the closing price relative to its recent high-low range. When the %K and %D lines converge and cross within the overbought or oversold zones, it often signals a momentum reversal. This oscillator is especially responsive in lower timeframes, making it ideal for spotting quick entries or exits. Beyond these oscillators, the table includes other valuable data such as candlestick type (bullish, bearish, or doji), volatility measures like ATR and TR, and complete OHLC pricing. This layered approach helps users understand both market momentum and structure at a glance. Ultimately, this screener allows analysts and traders to gain a full market overview with just one look—empowering faster, more informed, and lower-risk decision-making. It not only saves time but also enhances the precision and clarity of technical analysis. 🔵 Settings 🟣 Display Settings Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge. Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments. 🟣 Symbol Settings Each of the 10 symbol slots comes with a full set of customizable parameters : Enable Symbol : A checkbox to activate or hide each symbol from the table. Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.). Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D). RSI Length : Defines the period used in RSI calculation (default is 14). Stochastic Length : Sets the period for the Stochastic Oscillator. ATR Length : Sets the length used to calculate the Average True Range, a key volatility metric. 🔵 Conclusion By combining powerful oscillators like RSI and Stochastic with full customization over symbols and timeframes, this tool provides a fast, flexible solution for technical analysts. Users can instantly monitor one or several assets across multiple timeframes without opening separate charts. Individual configuration for each symbol, along with the inclusion of key metrics like candlestick type, ATR/TR, and OHLC prices, makes the tool suitable for a wide range of trading styles—from scalping to swing and position trading. In summary, this screener enables traders to gain a clear, high-level view of various markets in seconds and make quicker, smarter, and lower-risk decisions. It saves time, streamlines analysis, and boosts overall efficiency and confidence in trading strategies.
Pine Script® göstergesi
TFlab tarafından
2
ATR-Stop-DominoDetailed description of the ATR-Stop-Domino indicator Important notice: The slopes of the stop loss lines should NOT be used as entry or exit signals. They are not reliable for that purpose. Always use other indicators like MACD, RSI, SMI, or others to confirm trade signals before making decisions. Leverage: If the indicator shows a stop loss of 2%, this means that without leverage you are willing to risk 2% of your capital on that trade. However, if you trade with 3x leverage, your potential loss is multiplied by 3, which means 6% of your total capital. Remember your total capital represents 100%, so be very careful with leverage to avoid risking more than you can afford to lose. Dear trader, First, I do not promise profits or success in your trades, as that depends on many factors—mainly your chart interpretation and risk management. The ATR-Stop-Domino indicator was created to help traders operate with more safety and better loss control, especially those who want to trade small capital while still using stop loss. Why use stop loss? Trading without stop loss is very risky since losses can be large or even wipe out your capital. The ATR-Stop-Domino uses the ATR (Average True Range) to calculate dynamic stop loss levels based on asset volatility, providing an intelligent reference to limit losses. Important settings: Default ATR multiplier: 1.5 (balanced protection and room) For tighter stops, use 1.0 For more aggressive assets, use 2.0 or higher Default ATR period: 14 What you will see on the chart: Green line: stop loss for long positions Red line: stop loss for short positions Blue line: “safe line” in the middle for better visualization Labels showing stop loss percentage and optionally the exact price How to interpret the percentages: They show how much you are willing to lose if the price hits the stop loss, helping you visualize your risk. Recommendations: Avoid using on daily, weekly, or monthly charts (stop loss may be too far) Ideal for 4h, 3h, 2h or lower timeframes Consider leverage when calculating real risk Adjust ATR Period and ATR Multiplier according to asset and strategy Remember: This indicator is a support tool and does not guarantee profits. Always confirm signals with other indicators and manage your risk.
Pine Script® göstergesi
Canhoto-Medium tarafından
Super Neema!🟧 Super Neema! — Multi-Timeframe EMA-9 Overlay 🔍 What is "Neema"? The term "Neema" has recently emerged among traders at SMB Capital—a top proprietary trading firm—who colloquially use "Neema" as shorthand for the 9-period Exponential Moving Average (EMA). Due to its increasing popularity and reliability, the phrase caught on quickly as traders needed a quick, memorable name for such an essential tool. 📚 Why the 9-EMA? Scalping around the 9-EMA is now one of the most widely used intraday trading techniques. Traders of various experience levels frequently rely on it because it effectively highlights short-term momentum shifts. But there's a crucial nuance: traders across different assets or market periods don't always agree on which timeframe’s 9-EMA to follow. Depending on who's currently active in the market, the dominant "Neema" could be the 1-minute, 2-minute, 3-minute, or 5-minute 9-EMA. This variation arises naturally due to differences in trader populations, risk tolerance, style, and current market conditions. 👥 Social Convention & Normative Social Influence Trading is fundamentally a social activity, and normative social influence plays a critical role in market behavior. Traders don’t operate in isolation; they follow patterns, respond to cues, and rely on shared conventions. The popularity of any given indicator—like the 9-EMA—is not just technical, but deeply social. Traders adapt to what's socially accepted, recognizable, and effective. Over time, these conventions shift. What once was "the standard" timeframe can subtly evolve as dominant traders or institutions shift their preferred style or timeframe, creating "variants" of established trends. Understanding this dynamic is essential for market participants because recognizing where the majority of traders currently focus gives a critical edge. 📈 Why Does This Matter? (Market Evolution & Trader Adaptability) Market trends aren't just technical—they're social constructs. As markets evolve, participants adapt their methods to fit new norms. Traders who recognize and adapt quickly to these evolving norms gain a decisive advantage. By clearly visualizing multiple Neemas (9-EMAs across timeframes) simultaneously, you don't merely see EMA levels—you visually sense the current social convention of the market. This heightened awareness helps you stay adaptive and flexible, aligning your strategy dynamically with the broader community of traders. 🎨 Transparency Scheme (Visual Identification): 5-minute Neema: Most opaque, brightest line (slowest, most significant trend) 3-minute Neema: Slightly more transparent 2-minute Neema: Even more transparent 1-minute Neema: Most transparent, subtle background hint (fastest, quickest reaction) This deliberate visual hierarchy makes it intuitive to identify immediately which timeframe is currently dominant, and therefore, which timeframe other traders are using most actively. ✅ Works on: Any timeframe, any chart. Automatically plots the 1m–5m EMA-9 lines regardless of your current chart. 🧠 Key Insight: Markets are driven by social trends and normative influence. Identifying the currently dominant timeframe (the Neema most respected by traders at that moment) is a powerful, socially-informed edge. Trader adaptability isn't just technical—it's social awareness in action. Enjoy your trading, and welcome to Super Neema! ⚡
Pine Script® göstergesi
garysebastianbrowniii tarafından
MTF Pivot Fib Speed Resistance FansOverview This Pine Script indicator, titled "MTF Pivot Fib Speed Resistance Fans", is a multi-timeframe tool that automatically plots Fib Speed Resistance Fan lines based on pivot structures derived from higher timeframes. It mirrors the functionality of TradingView’s built-in “Fib Speed Resistance Fan” drawing tool, but in a dynamic, programmatic way. It uses pivot highs and lows to anchor fan projections, drawing forward-facing trend lines that align with well-known Fibonacci ratios and their extensions. Pivot Detection Logic The script identifies pivots by comparing the current bar’s high and low against the highest and lowest prices over a user-defined pivot period. This pivot detection occurs on a higher timeframe of your choice, giving a broader and more strategic view of price structure. The script tracks direction changes in the pivot trend and stores only the most recent few pivots to maintain clean and meaningful fan drawings. Fan Direction Control The user can select whether to draw fans for "Buys", "Sells", or "Both". The script only draws fan lines when a new directional move is detected based on the pivot structure and the selected bias. For example, in “Buys” mode, a rising pivot followed by another higher low will trigger upward fan projections. Fib Speed Resistance Levels Once two pivots are identified, the script draws multiple fan lines from the first pivot outward, at angles defined by a preset list of Fibonacci levels. These fan lines help visualize speed and strength of a price move. The script also draws a horizontal line from the pivot for additional confluence at the base level (1.0). Price Level Plotting In addition to drawing fan lines, the indicator also plots their price levels on the right-hand price scale. This makes it easier for users to visually reference the projected support and resistance levels without needing to trace the lines manually across the chart. Mapping to TradingView’s "Fib Speed Resistance Fan" The expanded set of values used in this script is not arbitrary—they closely align with the default and extended levels available in TradingView's built-in "Fib Speed Resistance Fan" tool. TradingView’s Fib Fan tool offers several levels by default, including traditional Fibonacci ratios like 0.382, 0.5, 0.618, and 1. However, if you right-click the tool and open its settings, you’ll find additional toggles for levels like 1.618, 2.000, 2.618, and even 4.000. These deeper levels are used to project stronger trend continuations beyond the standard retracement zones. The inclusion of levels such as 0.25, 0.75, and 1.34 reflects configurations that are available when you manually add or customize levels in TradingView’s fan tool. While 1.34 is not a canonical Fibonacci ratio, it is often found in hybrid Gann/Fib methods and is included in some preset templates in TradingView’s drawing tool for advanced users. By incorporating these levels directly into the Pine Script, the indicator faithfully reproduces the fan structure users would manually draw using TradingView’s graphical Fib Fan tool—but does so programmatically, dynamically, and with multi-timeframe control. This eliminates manual errors, allows for responsive updating, and adds custom visual tracking via the price scale. These values are standardized within the context of TradingView's Fib Fan tool and not made up. This script automates what the manual drawing tool achieves, with added precision and flexibility.
Pine Script® göstergesi
gggoaaat tarafından
1
Price-Volume Divergence (YY+GY)📊 **Price-Volume Divergence Tool (False & Hidden Rally)** by Tungaer_as This open-source indicator detects two types of volume-price divergences: 🔴 **False Rally (YY)** Occurs when price increases while volume decreases. This signals weak buyer pressure and may precede a local top or distribution phase. 🟢 **Hidden Rally (GY / Capitulation)** Occurs when price decreases while volume increases. This suggests potential smart money accumulation and may precede a price reversal. --- ### 🔧 How it works: The indicator compares: - Price direction (up/down) - Volume trend (rising/falling) - RSI values (customizable) - EMA filter (trend direction) - PVT (Price Volume Trend) for volume momentum - Optional candle-based confirmation over multiple bars All filters and thresholds are fully customizable from the settings menu. --- ### ✅ Key Features: - False Rally + Hidden Rally detection - Optional confirmation candles (1–5) - Toggleable filters: RSI, EMA, PVT - Cumulative PVT-based filtering - Background color zones for clarity - Built entirely in Pine Script v5 --- 🟢 Open-source | Developed with GPT-4 assistance 👤 By Tungaer_as ⚠️ **Disclaimer:** This script is for educational purposes only and does not provide financial advice. Always do your own research before making trading decisions. **Fiyat-Hacim Uyumsuzluk Göstergesi (Yalancı + Gizli Yükseliş)** tasarım: Tungaer_as Bu gösterge, fiyat-hacim ilişkisine dayalı iki güçlü dönüş formasyonunu tespit eder: 🔴 **Yalancı Yükseliş (YY)** Fiyat artarken hacmin düşmesi → Alıcı zayıflığı veya yükseliş tuzağı sinyali olabilir 🟢 **Gizli Yükseliş (GY)** Fiyat düşerken hacmin artması → Kurumsal birikim ya da dönüş hazırlığı göstergesi olabilir --- ✨ **Temel Özellikler** - ✅ RSI ve EMA filtreleri - ✅ PVT (Fiyat Hacim Eğilimi) ile hacim yönü teyidi - ✅ Opsiyonel teyit mum filtresi (1–5 mum) - ✅ Görsel uyarı için arka plan renklendirme - ✅ Tamamen özelleştirilebilir eşik değerleri - ✅ Tüm filtreler bağımsız olarak açılıp kapatılabilir --- 🚀 **Neden Farklı?** TradingView üzerindeki tipik uyumsuzluk göstergelerinden farklı olarak, bu araç **hem yalancı hem gizli yükselişi birlikte** işler. Ayrıca **PVT tabanlı hacim eğilimi filtresi** ve **kullanıcı kontrollü teyit sistemleri** ile daha sağlam sinyal üretir. --- 🟢 Açık kaynaklıdır | GPT-4 yardımıyla geliştirilmiştir 👤 Tungaer_as tarafından tasarlanmıştır ⚠️ **Yasal Uyarı** Bu gösterge yalnızca eğitim ve bilgilendirme amaçlıdır. Hiçbir yatırım tavsiyesi ya da garantili sinyal içermez. Yatırım kararı almadan önce kendi analizlerinizi mutlaka yapınız.
Pine Script® göstergesi
Tungaer_as tarafından
HTF Candle Display (Evolution FX)HTF Candle Display (Evolution FX) WHAT IT DOES This tool overlays a **higher timeframe candle** (like Daily or Weekly) directly on your current lower timeframe chart (like 5m, 15m, 1h). It visually anchors current price action within its broader market context, ideal for traders using multi-timeframe confluence, liquidity mapping, or High-Timeframe-Based decision-making. KEY FEATURES Timeframe selection : Choose any higher timeframe (HTF) to display (e.g., D, W, M). Dynamic candle placement : Position the HTF candle overlay away from price action using distance presets: `Close`, `Near`, `Far`, `Very Far`. Adjustable thickness : Choose candle body width via `Thin`, `Thick`, or `Thicker` styles. Fully customisable visuals : Set custom colours for bullish and bearish candles, borders, wicks, and labels. Highlight box (optional) : Display a semi-transparent box aligned to the HTF candle's real time span. Label with live countdown : Optionally show a floating label with timeframe info and time remaining in the HTF candle. Previous candle display : Toggle to show or hide the prior HTF candle for better comparison. HOW TO USE IT Select your HTF (e.g., Daily) from the input dropdown. Use "Distance From Price Action" to shift the visual away from the candles for a cleaner layout. Adjust "Candle Width" to visually match your preferences. Optionally toggle: - "Show Previous Candle" - "Show Label" - "Highlight Current Day Price Action Box" Customise your **colour scheme** to match your charting setup. Recommended to use on charts like `15m`, `1h`, or `4h` for best visual clarity. USE CASES HTF liquidity hunting Bias framing via daily/weekly structure Institutional-style trading models Scalping with macro trend context
Pine Script® göstergesi
racy_1 tarafından
CDP - Counter-Directional-Pivot🎯 CDP - Counter-Directional-Pivot 📊 Overview The Counter-Directional-Pivot (CDP) indicator calculates five critical price levels based on the previous day's OHLC data, specifically designed for multi-timeframe analysis. Unlike standard pivot points, CDP levels are calculated using a unique formula that identifies potential reversal zones where price action often changes direction. ⚡ What Makes This Script Original This implementation solves several technical challenges that existing pivot indicators face: 🔄 Multi-Timeframe Consistency: Values remain identical across all timeframes (1m, 5m, 1h, daily) - a common problem with many pivot implementations 🔒 Intraday Stability: Uses advanced value-locking technology to prevent the "stepping" effect that occurs when pivot lines shift during the trading session 💪 Robust Data Handling: Optimized for both liquid and illiquid stocks with enhanced data synchronization 🧮 CDP Calculation Formula The indicator calculates five key levels using the previous day's High (H), Low (L), and Close (C): CDP = (H + L + C) ÷ 3 (Central Decision Point) AH = 2×CDP + H – 2×L (Anchor High - Strong Resistance) NH = 2×CDP – L (Near High - Moderate Resistance) AL = 2×CDP – 2×H + L (Anchor Low - Strong Support) NL = 2×CDP – H (Near Low - Moderate Support) ✨ Key Features 🎨 Visual Elements 📈 Five Distinct Price Levels: Each with customizable colors and line styles 🏷️ Smart Label System: Shows exact price values for each level 📋 Optional Value Table: Displays all levels in an organized table format 🎯 Clean Chart Display: Minimal visual clutter while maximizing information ⚙️ Technical Advantages 🔐 Session-Locked Values: Prices are locked at market open, preventing intraday shifts 🔄 Multi-Timeframe Sync: Perfect consistency between daily and intraday charts ✅ Data Validation: Built-in checks ensure reliable calculations 🚀 Performance Optimized: Efficient code structure for fast loading 💼 Trading Applications 🔄 Reversal Zones: AH and AL often act as strong turning points 💥 Breakout Confirmation: Price movement beyond these levels signals trend continuation 🛡️ Risk Management: Use levels for stop-loss and take-profit placement 🏗️ Market Structure: Understand daily ranges and potential price targets 📚 How to Use 🚀 Basic Setup Add the indicator to your chart (works on any timeframe) Customize colors for easy identification of support/resistance zones Enable the value table for quick reference of exact price levels 📈 Trading Strategy Examples 🟢 Long Bias: Look for bounces at NL or AL levels 🔴 Short Bias: Watch for rejections at NH or AH levels 💥 Breakout Trading: Enter positions when price decisively breaks through anchor levels ↔️ Range Trading: Use CDP as the central reference point for range-bound markets 🎯 Advanced Strategy Combinations RSI Integration for Enhanced Signals: 📊 📉 Oversold Bounces: Combine RSI below 30 with price touching AL/NL levels for high-probability long entries 📈 Overbought Rejections: Look for RSI above 70 with price rejecting AH/NH levels for short opportunities 🔍 Divergence Confirmation: When RSI shows bullish divergence at support levels (AL/NL) or bearish divergence at resistance levels (AH/NH), it often signals stronger reversal potential ⚡ Momentum Confluence: RSI crossing 50 while price breaks through CDP can confirm trend direction changes ⚙️ Configuration Options 🎨 Line Customization: Adjust width, style (solid/dashed/dotted), and colors 👁️ Display Preferences: Toggle individual levels, labels, and value table 📍 Table Position: Place the value table anywhere on your chart 🔔 Alert System: Get notifications when price crosses key levels 🔧 Technical Implementation Details 🎯 Data Reliability The script uses request.security() with lookahead settings to ensure historical accuracy while maintaining real-time functionality. The value-locking mechanism prevents the common issue where pivot levels shift during the trading day. 🔄 Multi-Timeframe Logic ⏰ Intraday Charts: Display previous day's calculated levels as stable horizontal lines 📅 Daily Charts: Show current day's levels based on yesterday's OHLC 🔍 Consistency Check: All timeframes reference the same source data 🤔 Why CDP vs Standard Pivots? Counter-Directional Pivots often provide more accurate reversal points than traditional pivot calculations because they incorporate the relationship between high/low ranges and closing prices more effectively. The formula creates levels that better reflect market psychology and institutional trading behaviors. 💡 Best Practices 💧 Use on liquid markets for most reliable results 📊 RSI Combination: Add RSI indicator for overbought/oversold confirmation and divergence analysis 📊 Combine with volume analysis for confirmation 🔍 Consider multiple timeframe analysis (daily levels on hourly charts) 📝 Test thoroughly in paper trading before live implementation 💪 Example Market Applications NASDAQ:AAPL AAPL - Tech stock breakouts through AH levels $NYSE:SPY SPY - Index trading with CDP range analysis NASDAQ:TSLA TSLA - Volatile stock reversals at AL/NL levels ⚠️ This indicator is designed for educational and analytical purposes. Always combine with proper risk management and additional technical analysis tools.
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