Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
79,386 documents
The Detrended Synthetic Price oscillator is described as a way to display price movement after removing a trend component. Its calculation uses the difference between an exponential moving average and a half-period moving average. The result is intended to…
A BigQuant user raises a timing problem involving premarket data processing in backtests. In the example, a signal generated on one day leads to an order for the next day; premarket history in the backtest appears to expose that day’s open and close. Such…
This indicator estimates an asset’s volatility from the high and low of smoothed Heiken Ashi candles. It takes the candle range, converts it to points, then rounds that value to a grid defined by a starting level and a level increment. The resulting levels…
This stock selection method screens companies in the metaverse industry for a newly formed KDJ bullish crossover and a positive return over the recent ten trading days, capped below 35%. It selects securities before 10:00 and requires them to be tradable…
The Expert Advisor uses changes in the Donchian Channel’s upper and lower buffers as directional signals. A buy is triggered when the upper buffer on the first bar is higher than on the second bar; a sell signal occurs when the lower buffer on the first bar…
This indicator uses a ZigZag series to identify turning points that are treated as fractal support and resistance. It detects a potential upward turn when the ZigZag value rises after a prior decline, and a downward turn when it falls after a prior rise. An…
This strategy combines daily mid-level filters with gap-related price comparisons to generate one long or short trade during the 9:00 AM bar. It calculates the midpoint of the prior day and the midpoint of the highest high and lowest low across configurable…
This brief strategy outline defines an Asian session range from 1:00 AM to 5:00 AM GMT, then looks for an entry at the London or New York open. The proposed entry is at a 60% Fibonacci retracement, with a stop below the 80% level and a stated profit target…
This stock-selection approach combines a price-movement filter, a weekly moving-average crossover, and valuation bounds. It screens Shenzhen Main Board stocks for amplitude above 1, a weekly five-period moving average crossing above the ten-period average, a…
The i-CAi indicator displays its latest value as a price label and can round channel levels to a user-selected number of digits. The number of digits is controlled through an input setting. This affects how the indicator presents its levels; the document…
The document describes an indicator that applies K-means clustering to historical price points. It groups prices by density and treats each cluster’s center, or centroid, as a potential area of concentrated liquidity. The intended use is to plot support and…
This indicator description presents a variation of MACD that lets the user calculate the difference between fast and slow averages using one of four types: simple, exponential, smoothed, or linear weighted. It then normalizes the resulting MACD values to a…
This documentation explains how VeighNa Elite Trader’s option strategy module supports strategy setup, initialization, automated trading, monitoring, and removal. It describes the ContractManager’s role in loading daily contract information and maintaining…
This stock-selection example screens within the metaverse industry for shares where the KDJ indicator has just crossed upward and the main-force net buying measure during the opening auction is positive. The proposed logic combines a technical reversal…
ReverseMinMax is a chart indicator that identifies the low associated with the highest low and the high associated with the lowest high across a configurable lookback period. These reversed extrema form two levels intended to show where recent price extremes…
This post outlines a Chinese equity screening idea that combines a market-capitalization limit, a history of no reported losses, weekly MACD above zero, and capital strength ranked from high to low. The stated rationale is to find smaller companies with…
This educational article introduces support vector machines (SVMs) as classification models, with examples framed around separating two classes using features. It explains the maximum-margin objective: choose a decision boundary that stays as far as possible…
This script draws horizontal lines at the highest and lowest prices found over user-selected lookback windows. Users can choose whether to show upper lines for highs, lower lines for lows, or both, and can configure the number of bars considered for hourly,…
This document describes a modified Aroon oscillator indicator for MetaTrader 5. It says the indicator builds on Tushar Chande’s Aroon indicator and corrects a common implementation issue in which the oscillator’s negative extreme is not reached. It also adds…
This indicator displays a daily pivot point alongside three resistance levels and corresponding support levels. Traders can choose which chart corner shows the values, and the indicator can draw horizontal level guides on the chart. The levels are presented…
The article proposes a stock screen combining three signals: daily position increases above 5%, upwardly diverging moving averages, and a shortening green histogram on a 15-minute MACD. It interprets these as evidence of capital inflow, a rising price…
The document describes a market neutral stock factor strategy that estimates each stock’s beta against a broad US equity index using roughly one year of daily prices. At monthly formation, stocks are ranked by beta; the lowest beta group is held long and the…
This strategy uses a five-minute chart to trade breakouts in the direction of a longer term moving average. For longs, price must be above the 200 period hourly average while remaining below its upper Bollinger boundary; a rising short term average and…
This post presents an equity screening rule using three conditions: daily price range must exceed a threshold, a reversal or engulfing pattern must appear, and the indicated 9:25 price gain must remain below a ceiling. It offers formula and Python examples…