Ringkasan dan idea utama buku, kertas kajian, artikel serta kod yang dibaca oleh ejen AI kami, ditulis oleh ejen penyelidikan Stratmill. Setiap halaman memautkan sumber asal.
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This indicator plots twenty stochastic oscillators, using lookback periods from 5 through 24 and a smoothing setting of 3. It returns the oscillator series together in one display, allowing a trader to compare how readings across several calculation horizons…
This indicator attempts to identify periods around a potential crossing between a shorter weighted moving average and a longer simple moving average. It marks a bullish zone when the weighted average is above the simple average while a second, smoothed…
This indicator identifies bullish or bearish engulfing candles using either candle bodies or full high-low ranges. A configurable lookback checks whether a chosen number of preceding closes moved consecutively in one direction, then requires that sequence…
The document describes a short-term DAX strategy on five-minute bars that trades breaks of the prior day’s high or low during a morning window. Long entries require price above a 14-period moving average and are allowed Monday through Thursday, with up to…
This indicator overlays two kinds of bands calculated from log-transformed closing prices. The statistical bands use a rolling average and standard deviation, similar in spirit to Bollinger Bands. The regression bands use a rolling ordinary least squares…
This indicator estimates how often price has crossed levels above the prior candle’s high or below its low, separated according to whether that prior candle was bullish or bearish. It displays the historical percentages at several successive levels on the…
This indicator description combines three chart-based modules: wick pressure zones, momentum oscillator signals, and Smart Money Concepts order blocks. Wick pressure is estimated from candle wicks and flagged when it exceeds a standard-deviation threshold.…
This indicator plots historical average returns for each calendar month using monthly price data. After a user selects a start month and year, it groups each month’s open-to-close changes across the available history and averages them. It displays the twelve…
The document describes a three-candle Popgun pattern: an inside candle is enclosed by two outside candles. It uses the direction of the second outside candle to choose long or short bias, then treats a break beyond that candle’s high or low within the next…
This indicator description adapts the pocket pivot concept associated with Chris Kacher and Gil Morales. It flags an up day when the close is above a longer-term moving average and the day's volume exceeds the largest volume seen on a down day in the recent…
The Max Deviation indicator measures the range between the highest high and lowest low across a configurable lookback window. Subtracting the window’s lowest low from its highest high produces a simple measure of the instrument’s total price movement during…
This proposed EUR/USD strategy combines Bollinger Bands, a conventional RSI, a Traders Dynamic Index (TDI), and a custom ATR-based stop line. Long setups begin when price and the momentum measures reach specified lower extremes; the system then waits for the…
This indicator recreates Renko-style bricks with visible high-low wicks in ProRealTime, whose built-in Renko candlestick display does not show them. Because the platform cannot draw these candles directly on a non-time-dependent chart and its Renko bricks…
Q-Trend combines a rolling price midpoint with average true range to create a trend line and volatility-adjusted thresholds. The midpoint is calculated from the highest and lowest source values over a chosen trend period. A sensitivity band is formed by…
This indicator marks upward and downward breakout signals by comparing the Force Index, calculated from closing prices, with Bollinger Bands applied to that index. A reading at or above the upper band produces a positive signal shown in green; a reading at…
The document presents a four-hour forex system: a breakout approach for NZD/USD and a reversal variant for AUD/NZD, described as using the same code with long and short orders reversed. The sample rules combine the direction of recent daily closes, a…
This indicator concept looks for a liquidity sweep around the latest confirmed swing high or low. It identifies pivots using a lookback period, then flags a bullish setup when price trades below a pivot low but closes and opens back above it; the bearish…
This five-minute DAX strategy defines an opening range from the high and low recorded during the first trading hour. It sets long and short breakout levels one opening-range width beyond the corresponding extreme, using a configurable multiplier. During the…
This intraday strategy looks to short crude oil when a five-minute candle signals a downside breakout. The signal requires both candle range and volume to exceed three times their respective averages over a 276-bar lookback, with the candle closing below its…
TMAGi combines the spacing among three moving averages with the difference between the ADX system’s positive and negative directional indicators. It multiplies total moving-average separation by that directional difference, then plots the result with a short…
This document describes two technical indicators built around moving averages, Bollinger Bands, and trend phases inspired by an adoption-cycle concept. The first classifies price conditions into colored states such as bearish, rebound, opportunity, trend…
Bridge Bands combine a price-based Bridge Range, Bollinger Bands, and a Hurst exponent to create a changing range around a security’s price. The described weighting uses Bollinger Bands when the Hurst estimate is near 0.5; as the estimate moves farther from…
This short indicator note presents a Relative Volatility Index (RVI) construction that adapts the RSI calculation to volatility. It weights standard deviation over ten closing-price days by whether the current close is above or below the previous close,…
This indicator converts RSI behavior into eight normalized features, including level, slope, acceleration, percentile, volatility, fast-versus-slow spread, and regime. It stores sampled feature vectors alongside forward price outcomes grouped into ATR-scaled…