This indicator calculates a smoothed stochastic oscillator by fetching values from a higher timeframe and applying an additional moving average layer to filter noise.

This indicator normalizes and overlays price movements of four distinct financial instruments onto a single chart to visualize relative strength and aggregate momentum disparities.

This indicator aggregates and visualizes synchronized Relative Strength Index values across multiple concurrent timeframes to identify high-probability trend alignment.

This indicator normalizes and overlays price action from three distinct timeframes onto a single visual scale, enabling concurrent analysis of multi-temporal trends without switching charts.

This indicator projects synchronized moving averages from three distinct timeframes onto a single chart to visualize multi-layered trend confluence.

This indicator identifies 13 dynamic price levels based on fractal octave analysis to pinpoint major structural pivots, premium zones, and reversal stalls.

Identifies structural trend shifts by detecting when price momentum breaches both the 60 and 100 Exponential Moving Averages simultaneously.

This indicator projects upper and lower price boundaries by applying a multiplier to the standard deviation of a fast exponential moving average relative to a slower baseline.

This Expert Advisor fetches economic data via WebRequest to visualize high-impact global events as vertical lines and provide proactive alerts for currency volatility.

This indicator identifies high-probability trend reversals by synchronizing Parabolic SAR signals across multiple nested timeframes to ensure multi-layered momentum alignment.

This indicator synchronizes Parabolic SAR values across multiple nested timeframes to identify high-probability trend reversals and price crossovers.

This indicator evaluates price action across nine concurrent timeframes to visualize high-low volatility ranges and detect synchronized bullish or bearish momentum shifts.

This indicator identifies trend reversals by calculating a dynamic volatility boundary using Average True Range (ATR) and median price to generate non-repainting buy and sell signals.

This indicator applies an inverse hyperbolic tangent transformation to a non-lagging smoothed RSI calculation to produce a bounded, trend-oriented oscillator that highlights momentum polarity.

This indicator identifies trend reversals by calculating a running average of price centers and detecting specific threshold breaches in high-low volatility relative to the median price.

A versatile notification utility that synchronizes terminal alerts, push messages, and logs while optionally constraining triggers to a single occurrence per price candle.

This indicator tracks real-time volatility dynamics by calculating the exponential moving average, extreme boundaries, and per-minute tick frequency of the market spread.

This indicator quantifies real-time liquidity dynamics by tracking volatility-induced spread fluctuations and calculating market velocity via tick frequency.

This indicator identifies trend shifts by detecting crossovers between a linear regression line and its corresponding exponential moving average.

This indicator identifies trend momentum by plotting a linear regression line and calculating its exponential moving average to detect signal crossovers.

A graphical utility that renders multi-line text descriptions and instructional labels directly onto the trading chart using dynamic object positioning.

This indicator renders a real-time market depth histogram by parsing local Oanda price point data to visualize liquidity distribution, cumulative order volume, and long/short position imbalances.

This indicator calculates a cumulative true range value that adjusts dynamically based on price direction, applying dual moving averages to identify trend exhaustion and momentum shifts.

This indicator dynamically projects a hierarchical grid of eight master keys and sub-lines based on the hourly open price to visualize structural harmonics.

This indicator calculates and displays the absolute point distance between the previous candle's open/close prices and high/low extremes as real-time on-screen labels.

This script automatically retrieves external CSV candle data via WebRequest based on a PAMM account ID, generates a corresponding .hst history file, and programmatically triggers the MetaTrader offline chart window.

An advanced charting tool that retrieves external CSV data via web requests to plot historical open interest levels and liquidity depth using dynamic rectangle overlays.

This indicator retrieves external market depth data via web requests to map and render historical open interest levels as dynamic on-chart rectangles and text labels.

This indicator evaluates bullish and bearish sentiment by comparing the current H1 price action against shifted fast and slow Simple Moving Averages across H1 and H4 timeframes.

This indicator projects specific Call and Put strike price levels onto the chart by calculating price points based on user-defined premiums, volume, and open interest data.

This Expert Advisor monitors real-time order fluctuations to dispatch automated email alerts containing comprehensive trade specifics and account snapshots whenever positions are opened or closed.

This indicator maps normalized RSI, CCI, and PRI values onto the price chart using dynamic median and range calculations to identify momentum breaches.

This tool synthesizes primary data from various technical oscillators—including MACD, RSI, CCI, RVI, and DeMarker—to calculate a unified momentum difference between the main indicator and its signal line.

This indicator synchronizes Parabolic SAR, Bollinger Bands, and triple EMA smoothing with real-time price action visualization to identify trend momentum and volatility boundaries.

This indicator projects simultaneous Parabolic SAR values across multiple timeframes onto a single M1 chart to identify overarching trend shifts and momentum confluence.

This indicator calculates the difference between two Hilbert-transformed Exponential Moving Averages to identify momentum shifts, utilizing quantile and floating thresholds to signal trend reversals and pullbacks.

This indicator computes a high-order smoothed signal by applying recursive exponential moving averages and weighting them through a polynomial coefficient expansion.

This indicator identifies potential trend reversals by detecting price candles that penetrate a specific percentage of their total range while maintaining proximity to daily high or low extremes.

This indicator identifies specific price action formations by calculating the proportional spatial relationships, body positioning, and directional polarity between a primary 'nose' candle and its preceding 'eye' candle.

This indicator identifies geometric price corridors by calculating linear regression slopes between multi-timeframe historical extremes to visualize momentum trends.