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
This post outlines an equity screen using three conditions: daily price amplitude above 1%, tradable share float no greater than 5.5 billion shares, and a positive change in the K component of the KDJ indicator. It frames the filters as a way to find more…
This stock-screening idea combines three filters: at least five moving averages converging, high individual-stock popularity, and a market capitalization below 10 billion yuan with no reported losses. The post interprets moving-average convergence as a…
This chart-panel indicator summarizes account positions and their stop-loss status. It displays the potential loss if positions were closed at their stop-loss orders, counts positions with and without stop-loss orders placed by the indicator, and reports the…
The article proposes a stock screen focused on the metaverse industry. Its initial conditions require a volume ratio above 1.5 and below 6, alongside a positive return over the referenced lookback period. The article explains that recent gains and trading…
This document explains a simple automated Forex strategy driven by the crossover relationship between short- and long-period moving averages. When the short average is above the long average, the EA treats the market as bullish, closes any sell positions,…
This A-share stock screen combines turnover of 3% to 12%, market capitalization below 10 billion yuan, positive profitability, and positive net buying attributed to large traders during the opening auction. The article frames the filters as a way to find…
This article proposes screening stocks for a daily price range above one percent, a weekly MACD reading above zero with a bullish signal relationship, and a large absolute product of daily percentage change and a measure of net large-order flow relative to…
This article describes a stock-selection screen for companies associated with the metaverse theme. It combines bullish MACD and moving-average crossovers with a recent limit-up condition, a volume-ranking filter, and price and high-range checks. The stated…
This introduction explains arbitrage as buying an asset in one market and selling it in another to capture a price difference. A banana-trading example illustrates the basic economics, while a USD-JPY example shows how a trade on one exchange can create a…
This documentation explains how cross, isolated, strict isolated, and HIP-3 margin modes affect collateral sharing and liquidation exposure. Cross margin pools eligible collateral across positions, with the scope of sharing depending on account abstraction…
The expert advisor combines a short downward move on a 15-minute chart with Stochastic readings on one- and five-minute periods. Its stated entry condition is three falling candles on M15 while the Stochastic’s green line is above its red line on both…
The article describes a stock screen that looks for a positive MACD value and a short moving average above a longer one, while excluding stocks that hit the daily limit-up on the previous day. It frames these conditions as signs of upward momentum while…
The article explains an Expert Advisor approach that closes trades when current profit reaches a currency-denominated threshold, instead of setting a take-profit distance in pips. It shows how to count open orders and sum their profits, optionally filtering…
This Chinese equity screen combines three conditions: daily price range above a stated threshold, afternoon large-order net inflow, and company scale above a stated floor. The article presents these as signals of short-term demand and sentiment, with size…
This Chinese equity screening rule combines a daily price-range condition, a history of repeated limit-up moves over a 500-day window, and a ranking based on large-order net flow. The post describes calculating recent net buying and selling activity, ranking…
This live-trading log describes a one-minute ETH/USDT futures robot on OKX. It uses Bollinger band readings to report a neutral signal and manages long positions through staged dollar-cost-averaging orders. The log shows four successive long entry levels,…
This proposed Chinese equity screen combines four conditions: RSI below 65, a daily gain greater than 1%, main-board listing, and a listing age of at least a user-defined number of days. The post interprets the RSI threshold as leaving room for a rebound and…
This article describes a technical stock screen requiring amplitude above 1, a rising bottom pattern, and a closing price of 18.5 yuan. Its formula and sample Python sketch illustrate evaluating the conditions against historical daily prices. The proposed…
This documentation introduces OctoBot script, an early alpha Python framework for writing automated trading strategies with an interface compared to Pine Script. Its example uses RSI to identify buy entries: it computes the indicator over historical candle…
This article compares three types of privacy-enhancing tools in digital assets: mixers, privacy coins, and zero-knowledge proofs. Mixers obscure the link between senders and receivers, while privacy coins can conceal transaction details at the protocol…
This note describes a screen for Shenzhen main-board equities in the metaverse theme. It selects stocks whose prior-day actual turnover is between 3% and 28%, whose price-to-earnings ratio is between 0 and 29.01, and whose price-to-book ratio is between 0…
Supertrend uses Average True Range (ATR) to place upper and lower bands around a source price. The multiplier scales the distance from price, so the bands reflect recent volatility. The indicator marks an uptrend with a green line and a downtrend with a red…
This article outlines a China focused equity screen that starts with stocks in the metaverse theme and combines a recent turnover condition with a so called reversal or “wraparound” price condition. It then adds valuation and balance sheet filters: price to…
The described automated strategy begins by placing a Buy Stop and a Sell Stop with specified expiration times. It then aims to manage only one open position: if both positions open, the system deletes them. This creates a paired pending-order setup intended…