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.
29,558 documents
The expert advisor identifies the most recent upper and lower price fractals and opens a long position when price breaks above the upper level, or a short position when it falls below the lower level. It does not cap the number of open positions, so each…
The document outlines a Chinese stock screen combining price amplitude, a morning-star candlestick condition, and an opening price change constrained to between −2% and 5% relative to the prior close. It presents amplitude as a measure of activity, the…
The note describes a trailing-stop setting that delays trailing until an open position reaches a specified profit threshold, measured in points. It presents this threshold as a breakeven-like activation condition: trailing begins only after the position has…
The document describes a MetaTrader 5 utility for estimating lot size before a trade. A trader supplies either a risk percentage or a fixed amount, an account value, and a stop-loss distance; the calculator converts those inputs into a volume compatible with…
This research compares ways to construct and transform analyst-consensus forecast factors for stock selection and industry rotation. It examines expected return on equity, net profit, net-profit growth, and a two-year compound-growth measure. The approaches…
The proposed stock screen combines three conditions: membership in the metaverse sector, positive institutional activity, and overlap among several moving averages. The rationale is that sector exposure may offer growth potential, institutional buying may…
The document explains how forced liquidations work in leveraged crypto trading, distinguishing partial closures from full position closures. It illustrates leverage with a Bitcoin futures example and shows how an adverse price move can reduce a trader’s…
The document describes a software workflow for managing option volatility strategies. It covers model selection for European and American options, choosing a futures or synthetic underlying, monitoring option quotes and Greeks, and calibrating pricing…
This note presents a Chinese equity screen that looks for stocks associated with the metaverse theme, a rising 30-day moving average, and circulating market capitalization above 10 billion yuan. It combines a thematic classification with a trend condition…
This note outlines a Chinese stock screen requiring daily price amplitude above 1%, a stock code beginning with 60, and large-order net volume above 0.05 for at least three consecutive days. The proposed rationale is that a wide daily range indicates…
This note describes an A-share stock screen combining daily turnover between 3% and 12%, a newly formed KDJ golden cross, and a tradable share count no greater than 5.5 billion. Its rationale is to pair trading activity and a technical momentum signal with a…
This Chinese-language post outlines a stock screen combining a daily high-low range greater than one percent, a 2021 date filter, and upward-moving trend measures. The provided formula expresses the range condition using the day’s high and low relative to…
This document describes a small MT5 acceptance harness for checking an Expert Advisor’s entry-state logic against deterministic synthetic cases. Its eight fixtures cover a valid closed-bar entry, duplicate signal bar, open-bar rejection, cooldown handling,…
This document describes an Expert Advisor that compares the opening prices of the current bar (bar zero) and bar two. It identifies the comparison as the strategy’s central rule, but does not state what trade direction or entry condition follows from the…
This guide explains how to inspect balances across connected exchanges and wallets, including assets allocated to active orders, and how to view and adjust a paper-trading account. Paper balances can be increased for a specified asset, enabling simulated…
This document describes a utility that monitors a selected basket of open positions and attempts to close that basket when its floating loss reaches a user-set threshold. The loss limit can be a fixed cash amount or a percentage of account balance or equity;…
This document presents an equity screen combining a price-range condition, exclusion of stocks marked ST, a selection time before 10 a.m., a five-session high condition, and turnover between 2% and 9%. Its example implementation calculates a range measure…
This document describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, seven consecutive daily declines, and a circulating share count no greater than 5.5 billion. It frames the falling-price pattern and smaller float as…
The article presents a stock selection rule based on daily price range, afternoon large-order net inflows, and a positive trailing price-to-earnings ratio. It frames price range as a technical condition, afternoon flows as a possible clue to large traders’…
This A-share screening idea selects stocks with a reported increase in holdings above 5%, evidence of substantial main-fund control on the previous day, and a stated 2021 time criterion. The write-up interprets rising holdings as possible recent inflows and…
This product description outlines an MT5 indicator for tracking trading performance over the current broker day. It reports closed profits and losses, net results, floating profit or loss, and combined daily performance. The dashboard also includes daily…
The author describes a Binance perpetual futures strategy that used recent trades, order book depth, and current positions to infer short-term direction and place maker orders. In a rising market it opened longs and closed shorts; in a falling market it did…
This Expert Advisor description presents a channel-based trading method. It finds the highest high and lowest low over a chosen lookback period and derives a reference level from those bounds and the close. A close between the reference level and the channel…
This proposed Chinese equity screen combines membership in the metaverse sector, a positive institutional-activity reading, and a reversal pattern described as a sharp switch from a declining period to a rising move. The document explains these as sector…