Technicalindicator — Indicators and Strategies

Impulse Volume Oscillator [Alpha Extract]Impulse Volume Oscillator A sophisticated indicator designed to identify market impulse moves and volume-based momentum shifts, helping traders capture significant price movements with precision. Combining price deviations with volume analysis, this oscillator dynamically measures market strength and weakness, providing clear signals for potential trend continuations and reversals. 🔶 Volume-Adjusted Normalization Utilizes a unique normalization technique that incorporates volume impact to enhance signal quality. This approach ensures the indicator responds more strongly to high-volume price movements while filtering out low-volume noise. vol_ratio = ta.rsi(volume, 14) / 50 vol_factor = vol_impact > 0 ? 1 + (vol_ratio - 1) * vol_impact : 1 raw_normalized = dev / (ta.stdev(source, bars) * mult) vol_adjusted = raw_normalized * vol_factor normalized = ta.sma(vol_adjusted, smooth) 🔶 Adaptive Regime Detection Incorporates threshold-based regime identification that clearly distinguishes between trending and mean-reverting market conditions. The customizable threshold system allows traders to adapt to different market volatilities and timeframes. 🔶 Customizable Parameters Fine-tune detection sensitivity with adjustable inputs for lookback period, standard deviation multiplier, volume impact, and signal smoothing. These parameters enable traders to optimize the indicator for various trading styles and market conditions. ❓How It Works 🔶 Impulse Calculation The oscillator measures price deviation from a moving average baseline, normalized by standard deviation, and then adjusts the signal based on relative volume strength. This creates a responsive yet stable indicator that accurately reflects market momentum. // Calculate the basis using the selected MA basis = get_ma(source, bars) // Calculate the normalized value with volume impact dev = source - basis 🔶 Dynamic Visualization The histogram changes color based on signal strength, providing instant visual cues about market conditions. Green bars indicate positive momentum while red bars represent negative momentum, with color intensity reflecting signal strength. 🔶 Trend Confirmation Built-in trend direction analysis provides confluence with the primary signal, helping traders distinguish between counter-trend bounces and genuine trend reversals. This dual-confirmation approach significantly reduces false signals. 🔶 Visual Alerts & Boundary Tracking Monitors signal extremes and dynamically adjusts visualization transparency based on signal strength. The indicator highlights particularly strong impulse moves with background shading, making potential trading opportunities immediately apparent. 🔶 Custom Candle Coloring Optional candle coloring applies the same color logic as the histogram directly to price candles, providing a unified visual framework that helps traders correlate indicator signals with price action. 🔶 Momentum Shift Detection Automatically identifies important zero-line crossovers that often signify the beginning of new impulse moves. These transition points frequently offer favorable risk/reward entry opportunities. 🔶 Snapshot samples 1 Week 1 Day 15 Min 🔶 Why Choose AE - Impulse Volume Oscillator? This indicator provides a comprehensive approach to identifying significant market moves by combining volume analysis with price momentum. By offering clear visual signals for both trend continuation and reversal scenarios, it empowers traders to make more informed decisions across various market conditions and timeframes.

ARIMA Indicator with Optional Smoothing Overview The ARIMA (AutoRegressive Integrated Moving Average) Indicator is a powerful tool used to forecast future price movements by combining differencing, autoregressive, and moving average components. This indicator is designed to help traders identify trends and potential reversal points by analyzing the historical price data. Key Features AutoRegressive Component (AR): Utilizes past values to predict future prices. Moving Average Component (MA): Averages past price differences to smooth out noise. Differencing: Reduces non-stationarity in the time series data. Optional Smoothing: Applies EMA to the ARIMA output for a smoother signal. Customizable Parameters: Allows users to adjust AR and MA orders, differencing periods, and smoothing lengths. Concepts Underlying the Calculations Differencing: Subtracts previous prices from current prices to remove trends and seasonality, making the data stationary. AutoRegressive Component (AR): Predicts future prices based on a linear combination of past values. Moving Average Component (MA): Uses past forecast errors to refine future predictions. Exponential Moving Average (EMA): Applies more weight to recent prices, providing a smoother and more responsive signal. How It Works The ARIMA Indicator first calculates the differenced series to achieve stationarity. Then, it computes the simple moving average (SMA) of this differenced series. The indicator uses the AR and MA components to adjust the SMA, creating an approximation of the ARIMA model. Finally, an optional smoothing step using EMA can be applied to the ARIMA approximation to produce a smoother signal. How Traders Can Use It Traders can use the ARIMA Indicator to: Identify Trends: Detect emerging trends by observing the direction of the ARIMA line. Spot Reversals: Look for divergences between the ARIMA line and the price to identify potential reversal points. Generate Trading Signals: Use crossovers between the ARIMA line and the price to generate buy or sell signals. Filter Noise: Enable the optional smoothing to filter out market noise and focus on significant price movements. Example Usage Instructions Add the ARIMA Indicator to your chart. Adjust the input parameters to suit your trading strategy: Set the SMA Length (e.g., 14). Choose the Differencing Period (e.g., 1). Define the AR Order (p) and MA Order (q) (e.g., 1). Configure the Smoothing Length if smoothing is desired (e.g., 5). Enable or disable smoothing as needed. Observe the ARIMA line (blue) and compare it to the price chart. Use the ARIMA line to identify trends and potential reversals. Implement trading decisions based on the ARIMA line’s behavior relative to the price.

Markov Chain Trend Indicator Overview The Markov Chain Trend Indicator utilizes the principles of Markov Chain processes to analyze stock price movements and predict future trends. By calculating the probabilities of transitioning between different market states (Uptrend, Downtrend, and Sideways), this indicator provides traders with valuable insights into market dynamics. Key Features State Identification: Differentiates between Uptrend, Downtrend, and Sideways states based on price movements. Transition Probability Calculation: Calculates the probability of transitioning from one state to another using historical data. Real-time Dashboard: Displays the probabilities of each state on the chart, helping traders make informed decisions. Background Color Coding: Visually represents the current market state with background colors for easy interpretation. Concepts Underlying the Calculations Markov Chains: A stochastic process where the probability of moving to the next state depends only on the current state, not on the sequence of events that preceded it. Logarithmic Returns: Used to normalize price changes and identify states based on significant movements. Transition Matrices: Utilized to store and calculate the probabilities of moving from one state to another. How It Works The indicator first calculates the logarithmic returns of the stock price to identify significant movements. Based on these returns, it determines the current state (Uptrend, Downtrend, or Sideways). It then updates the transition matrices to keep track of how often the price moves from one state to another. Using these matrices, the indicator calculates the probabilities of transitioning to each state and displays this information on the chart. How Traders Can Use It Traders can use the Markov Chain Trend Indicator to: Identify Market Trends: Quickly determine if the market is in an uptrend, downtrend, or sideways state. Predict Future Movements: Use the transition probabilities to forecast potential market movements and make informed trading decisions. Enhance Trading Strategies: Combine with other technical indicators to refine entry and exit points based on predicted trends. Example Usage Instructions Add the Markov Chain Trend Indicator to your TradingView chart. Observe the background color to quickly identify the current market state: Green for Uptrend, Red for Downtrend, Gray for Sideways Check the dashboard label to see the probabilities of transitioning to each state. Use these probabilities to anticipate market movements and adjust your trading strategy accordingly. Combine the indicator with other technical analysis tools for more robust decision-making.

Persistent Homology Based Trend Strength Oscillator Persistent Homology Based Trend Strength Oscillator The Persistent Homology Based Trend Strength Oscillator is a unique and powerful tool designed to measure the persistence of market trends over a specified rolling window. By applying the principles of persistent homology, this indicator provides traders with valuable insights into the strength and stability of uptrends and downtrends, helping to inform better trading decisions. What Makes This Indicator Original? This indicator's originality lies in its application of persistent homology , a method from topological data analysis, to financial markets. Persistent homology examines the shape and features of data across multiple scales, identifying patterns that persist as the scale changes. By adapting this concept, the oscillator tracks the persistence of uptrends and downtrends in price data, offering a novel approach to trend analysis. Concepts Underlying the Calculations: Persistent Homology: This method identifies features such as clusters, holes, and voids that persist as the scale changes. In the context of this indicator, it tracks the duration and stability of price trends. Rolling Window Analysis: The oscillator uses a specified window size to calculate the average length of uptrends and downtrends, providing a dynamic view of trend persistence over time. Threshold-Based Trend Identification: It differentiates between uptrends and downtrends based on specified thresholds for price changes, ensuring precision in trend detection. How It Works: The oscillator monitors consecutive changes in closing prices to identify uptrends and downtrends. An uptrend is detected when the closing price increase exceeds a specified positive threshold. A downtrend is detected when the closing price decrease exceeds a specified negative threshold. The lengths of these trends are recorded and averaged over the chosen window size. The Trend Persistence Index is calculated as the difference between the average uptrend length and the average downtrend length, providing a measure of trend persistence. How Traders Can Use It: Identify Trend Strength: The Trend Persistence Index offers a clear measure of the strength and stability of uptrends and downtrends. A higher value indicates stronger and more persistent uptrends, while a lower value suggests stronger and more persistent downtrends. Spot Trend Reversals: Significant shifts in the Trend Persistence Index can signal potential trend reversals. For instance, a transition from positive to negative values might indicate a shift from an uptrend to a downtrend. Confirm Trends: Use the Trend Persistence Index alongside other technical indicators to confirm the strength and duration of trends, enhancing the accuracy of your trading signals. Manage Risk: Understanding trend persistence can help traders manage risk by identifying periods of high trend stability versus periods of potential volatility. This can be crucial for timing entries and exits. Example Usage: Default Settings: Start with the default settings to get a feel for the oscillator’s behavior. Observe how the Trend Persistence Index reacts to different market conditions. Adjust Thresholds: Fine-tune the positive and negative thresholds based on the asset's volatility to improve trend detection accuracy. Combine with Other Indicators: Use the Persistent Homology Based Trend Strength Oscillator in conjunction with other technical indicators such as moving averages, RSI, or MACD for a comprehensive analysis. Backtesting: Conduct backtesting to see how the oscillator would have performed in past market conditions, helping you to refine your trading strategy.

Opening Range with Infinite Price Targets Opening Range with Infinite Price Targets is an ORB indicator that automatically generates price targets into infinity based on a user-defined % of range. This indicator includes many nice-to-have features missing from other indicators. Such as: Price Target Labels with Price tooltip, want to know exactly what price pt3 is at? Hover over it and see. Custom Defined Range time, Set your Range Start and end time to whatever you need, Doesn't have to be pinned to opening range!. Note: Time is in chart time. Historical View (Default off), Tired of your chart looking messy with a ton of lines from historical data? No problem! You can choose to view or not view historical data. Alerts for Range Breaks, First Range Breaks, and Discovery Price Target hits. As well as Exported Values for Range High, Low, and Mean to set your own alerts from custom sources. Custom Price Targets, set your price targets to a % of the range based on your own strategy. Last but not Least, Infinitely Generating Price Targets. They just keep building. New Targets will be generated when the price closes above/below the current farthest target. Enjoy!

Trend Indicator with BUY SELL signals The Script can be used to identify the main trend and take BUY/SELL decisions in the lower time frames. The tool can be applied as follows 1) Apply the tool your favorite chart 2) Select the main trend. 3) Go to lower time frames to check the BUY/SELL signals. Example: If the selected main trend is 4 hrs then go to time frames below 4 hrs to find the entry and exit positions. Feel free to reach out to me if you need any further information