Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
1,507 documenten
This document describes two chart indicators and a screening concept for identifying unusually large differences between a bar’s open and low. The first marks bars when the open-to-low decline, measured as a percentage of the open, exceeds an adjustable…
The document describes an indicator that lets users select among 66 moving average and digital filter methods through a parameter, and adjust the lookback period. Its catalog spans familiar averages such as simple, exponential, weighted, and volume weighted…
The document explains how to construct a linear regression channel from closing prices over a configurable lookback window. It computes the regression line by accumulating price and time-index sums, then draws the fitted line between the oldest and newest…
This indicator modifies the classical Stochastic oscillator by adapting its lookback window to an estimated market cycle. It smooths price data, derives in-phase and quadrature components, and uses a homodyne discriminator to estimate the cycle period. The…
The indicator marks the high and low during the first ten minutes of the DAX session and a corresponding ten-minute period around the US market open. It presents those range extremes as potential intraday support and resistance levels, with breaks beyond…
This indicator estimates how often a bar trades through a pivot calculated from the preceding bar. For each eligible bar, it takes the prior high, low, and close to form their average, then checks whether the current bar’s range contains that level. Each…
The document describes a chart indicator for marking Wide Range Body (WRB) candles and Hidden Gap (HG) patterns. It flags a candle when the absolute difference between its open and close exceeds that of each of the preceding three candles, placing a marker…
This indicator recipe combines a five-period exponential moving average with an eight-period triangular moving average, both calculated from closing prices. A buy signal is produced when the current close crosses above the triangular average from below and…
The document describes an augmented version of the Relative Strength Index. Its price-change calculation adjusts moves around recent highs and lows, while selectable smoothing methods are applied to both the directional change and its absolute value. A…
This document presents the Fisher Transform as an indicator intended to highlight potential market turning points. It describes a lookback window applied to median price, normalizes the current price within the window’s high and low, smooths the normalized…
Visual Trend Momentum is an indicator concept for displaying directional conditions and possible trend changes. It classifies strong bullish and bearish conditions using candle direction, the close relative to an 8-period moving average, and the ordering of…
This document presents a modified Bollinger Bands indicator attributed to Dennis McNicholl and describes a ProRealTime adaptation of a TradingView version. It calculates a smoothed center from the average of high, low, and close, then smooths the absolute…
This indicator combines a 20-period average and standard-deviation bands with ADX readings calculated over multiple lookback periods. It labels a bullish condition when price is above the average and upper one-standard-deviation band while at least one of…
The document presents a cumulative volume indicator intended to refine On-Balance Volume (OBV). Rather than assigning all of a session’s volume to the direction implied by the close, it estimates the portion associated with the close-to-close price move.…
This strategy seeks to join a move after price has traveled more than a specified pip distance from its last touch of the eight-period exponential moving average. Once that move establishes a bullish or bearish condition, the system places a limit order near…
This indicator adapts the responsiveness of its fast and slow moving averages according to the distance of RSI from its midpoint. It calculates RSI from closing prices, transforms that reading into a scaling factor, and uses the factor to adjust the…
The document describes RSIOMA, an indicator built by applying the relative strength index to an exponential moving average of closing prices, then smoothing that RSI with a second exponential moving average. It supplies parameter examples: 14 periods for the…
This indicator simulates possible future price paths from the latest bar using historical return estimates. It calculates returns over a configurable candle step, estimates their mean and standard deviation over a selected lookback, and uses random draws…
A variable moving average adjusts its smoothing in response to changing market conditions. The document contrasts this with fixed smoothing, which can lag during reversals or produce false signals when prices move sideways. It describes a modified VIDYA…
This document describes a price channel built around a centered Triangular Moving Average (TMA). The center line is calculated as a weighted average of prior closing-price averages, with weights decreasing across the lookback. Upper and lower boundaries are…
This indicator description outlines a stock entry and exit approach centered on the 52-week high. It calculates the highest prior high over a configurable period, then subtracts one and a half times the standard deviation of closing prices over 254 periods.…
This indicator description presents a SuperTrend-style trend filter built from average true range (ATR). It forms upper and lower price boundaries around a reference price, then switches the inferred direction when price crosses the prior boundary. In an…
This indicator applies a nearest-neighbor method to Change of Character (CHoCH) breaks in market structure. It detects swings with centered pivots, records a break when price crosses the last relevant swing in a direction that changes the trend state, and…
This indicator combines two bands calculated over the same rolling window. The statistical component places upper and lower boundaries around a simple moving average using a multiple of price standard deviation, following the familiar Bollinger Band…