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The Dynamic Time Warping (DTW) indicator measures the similarity between two sequences of price data by aligning them in a way that minimizes their distance. It’s useful for identifying repeating patterns or aligning similar patterns even if they are stretched or shifted in time.

The Wasserstein Distance indicator is a tool designed to measure how the market’s price distribution changes over time. It works by comparing two sets of historical price data, one from the most recent bars and one from a prior period. The goal is to identify shifts in the underlying price structure, giving you early insight into potential changes in market behavior.

The HalfTrend indicator is a trend-following tool designed to provide clear signals of market direction. It integrates elements of a moving average with a breakout-based approach to highlight potential trend reversals. By analyzing the high, low, and closing prices of market data, it calculates a dynamic level that guides traders on whether the market is in an uptrend or a downtrend.

Developed by Ali Casey of https://StatOasis.com, the Ultimate Casey C% (UltimateC) is a momentum-based indicator based on (Casey C%) original indicator by Ali Casey. It is designed primarily for identifying mean reversion opportunities—situations where prices significantly deviate from their average and are likely to reverse. Unlike traditional momentum indicators such as RSI, which measure momentum using fixed periods,

Custom blocks can be imported into Algowiazrd and utilized within its builder interface or during strategy development. These custom blocks cover fundamental indicators for strategies in the X category and are specifically designed to detect divergences, whether bullish or bearish.

Bollinger Bands %B is a technical oscillator that quantifies how close the market price is to the upper or lower Bollinger Bands. By converting this distance into a percentage value from 0 to 1, it offers a quick way to gauge whether the market is approaching overbought (near 1) or oversold (near 0) conditions.

Divergences have long been a favorite tool among technical analysts and systematic traders. They provide early clues that price trends might be losing momentum or are about to reverse. In this post, we dive deep into the world of divergences—from the underlying theory to practical implementation insights, along with key parameters that fine-tune divergence detection.

The Kalman Filter is a mathematical approach often used in engineering and finance to produce smooth, adaptive estimates of a system’s state—in this case, the price of a financial instrument. By combining past estimates and new measurements, the Kalman Filter helps reduce noise and track both the price and its velocity (or slope) over time.

The Ultimate Oscillator is a technical analysis tool designed to capture momentum by combining three different time periods into a single value. By weighing short-term, mid-term, and long-term price pressures, it aims to minimize false signals that can arise from focusing on any single timeframe.

In our latest update, we've introduced new comparison blocks that allow you to smooth any indicator using various moving averages, such as SMA, EMA, WMA, or HMA. These blocks enable you to compare an indicator's current value to its smoothed version, helping to filter out market noise and focus on significant trends. You can specify parameters like the period, moving average type, and shift to tailor the smoothing to your strategy. This enhancement provides traders with refined tools to develop more robust and responsive trading strategies.