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.
4,613 documents
This document describes an MT4 indicator intended to help traders think about positions and risk in percentage terms instead of monetary amounts. Its rationale is behavioral: traders with the same plan and market information may act differently because…
The document describes a script for placing a pending sell stop order at a trigger level below the current price. It sets stop-loss and take-profit distances in points from the trigger and allows the trader to set order volume through a money-management…
The document explains a MetaTrader trade function that sizes positions from a risk budget and sets stop distance using the asset’s average true range. It calculates the allowed risk as a percentage of free margin, converts an ATR multiple into stop-loss…
This Chinese stock screening example combines three filters: membership in the metaverse concept group, a closing price above the previous day’s low, and a closing price below 12 yuan. It presents the first condition as a way to focus on a market theme, the…
This example describes a three-leg futures strategy that treats polyester fiber value minus the weighted costs of PTA and ethylene glycol as a production margin. It estimates the margin’s mean and standard deviation from recent daily bars, then calculates a…
This guide walks through a TqSdk workflow, from setting up an account and connecting to live quotes to reading synchronized bars, checking account and position references, and submitting or cancelling orders. Its central pattern is to create an API, request…
This Chinese-language article describes a customizable stock-selection strategy built around five rules, mainly seeking shares that appear oversold and stable, with some rules intended to identify possible rallies. It distinguishes rule-based coding from an…
The document describes a trading-platform script that calculates the largest lot size that can be opened using all free margin currently available in an account. It displays the calculated size in the chart’s upper-right corner for a default period of ten…
This strategy selects the ten lowest-priced eligible stocks within the SSE 50 universe, excluding special-treatment, suspended, and delisted stocks. It allows each holding to remain open for up to twenty days and sells a stock if its decline exceeds eight…
This community post describes a restart issue in a portfolio strategy. A position and target are saved when the system shuts down, then restored during startup; however, historical bars are replayed through the strategy’s bar handler during initialization.…
The article describes a long-only Chinese equity strategy that uses a ResNet101 image classifier to identify strong stocks during pullbacks in an established uptrend. Its rationale combines buying a retracement in a strong trend, favoring stocks that…
This swing trading Expert Advisor uses a Percentage_Crossover_Channel indicator to generate signals in one of two ways. In channel mode, a bar’s low crossing or touching the lower boundary triggers a buy, while its high crossing or touching the upper…
This Expert Advisor provides a framework for testing whether the previous trading day’s direction predicts continuation or reversal on a selected weekday. Users can choose weekdays and compare entries that follow or oppose the prior day’s move. Positions may…
The document outlines an automated recovery system that begins with a buy order. If price rises, the order is closed; if price falls by a configured distance, the system opens a sell. If the overall profit target has not been reached and price reverses…
The tool estimates the risk associated with a proposed position by combining its lot size with a chosen stop-loss level. A user marks a virtual stop on a chart, then receives a percentage risk estimate and a monetary risk figure. The inputs also distinguish…
The article outlines market, liquidity, credit, operational, and systemic risks in cryptocurrency trading, then presents four basic controls: position sizing, risk/reward assessment, stop-loss and take-profit orders, and diversification across tokens. It…
This example describes an AI-assisted value-investing workflow inspired by Warren Buffett’s public approach. One agent reviews filings and assesses business quality, cash generation, balance-sheet strength, and durability. A second challenges the valuation…
This script is intended to close part of a buy order that is already in profit while leaving other running orders open to pursue their target profits. Its described role is a position-management operation: realize some gains from a profitable buy without…
This trading example describes calculating a buy position size from a chosen percentage of account equity at risk and a stop-loss distance. It then checks whether the calculated size is valid and whether the account has enough funds to open it. If the…
This document describes a rule-based strategy for the Nikkei 225 on 15-minute bars. It enters long after a closed bar meets three criteria: price is above its recent average by a volatility-scaled amount, upward momentum remains below a threshold, and tick…
This Chinese equities strategy builds a daily candidate list from the 300 smallest eligible stocks by market capitalization, excluding special-treatment and suspended shares. It selects up to seven targets when a stock opens below the previous day’s low,…
This foreign-exchange expert advisor begins by looking for price breakouts, then adds orders progressively while seeking an overall profit target. It also takes small gains when positions become profitable and attempts to increase gains when the market…
This Chinese research note explores bull-bear indicators in three equity applications: timing broad indices, rotating among industries, and setting index constituent exposure. For direct index timing, it adapts the dual moving average idea by comparing…
The document describes a Chinese equities screening rule: keep stocks with turnover between 3% and 12%, require first-level bid volume to exceed first-level ask volume, rank candidates by the day's auction amount, and select the top five. It presents the…