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 described expert advisor uses Fractals and Ichimoku signals to open trades, then increases the lot size after a losing trade according to a configurable multiplier. It lists trailing stops and take-profit settings, money-based exits for multiple trades,…
This conference recap describes themes reported at Consensus Hong Kong 2025, including greater institutional participation in digital assets, regulatory developments, and interest in combining blockchain with artificial intelligence. It says Hong Kong's…
The document describes a Chinese equity screen that combines at least five overlapping moving averages, a circulating market value above 200 million, and revenue in 2021 exceeding 1.1 times revenue in 2018. The moving-average condition is presented as a way…
This opinion piece presents trading principles drawn from an interview with a Chinese market participant. It argues for acting on clearly defined chart breaks or confirmed volume-supported moves, using public policy and industry developments to identify…
This Chinese stock-selection method seeks volatile shares that have recently shown strong price movement. Its initial rules look for daily high-low range greater than a 20-period ATR, a single-day move of at least 10% within the past 25 trading days, and a…
A trader asks why MACD golden-cross detection sometimes disagrees with a charting exchange during five-minute backtests. The comparison covers both simulated and live tickers over a two-day period. The trader reports that some cross signals were incorrectly…
This Chinese A-share screening idea combines a 14-period RSI below 65, parent-company net profit growth above 20% and at most 100%, and a negative MACD reading from two sessions earlier. It also describes excluding suspended, delisted, special-treatment,…
The document describes a velocity indicator presented as a smoother form of momentum. It says the calculation uses T3 smoothing and displays velocity as a tape, with Heikin Ashi prices included among the available price inputs. Its suggested use is the same…
The proposed screen selects stocks with amplitude above one, a prior-day signal described as main-force control, and at least one daily gain of 10% or more during the previous 25 trading days. It combines a volatility condition with a recent large-move…
The post asks how to identify the perpetual futures pairs with the largest 24-hour percentage price changes from exchange ticker data. The example response is a list of market records containing symbols and percentage changes, along with other fields such as…
This screening rule selects Shanghai-listed stocks with a daily high-low range above 1% of the previous close, then sorts them by an individual-stock popularity measure. The article interprets the range threshold as a way to find more volatile names and…
This A-share stock selection rule screens companies classified in the metaverse industry for two signs of recent activity: appearing on the prior day’s Dragon-Tiger list and recording prior-day trading turnover above 60 million yuan. The article presents the…
This stock screen combines a metaverse industry classification and a rounded-base chart pattern with a prior-day downside signal. The final rule accepts stocks described as having a limit-down opening match price at 9:15 or a daily decline greater than 9%.…
Tengri is described as an Expert Advisor combining price-bar OHLC analysis with a standard moving average, RSI, and a custom Silence indicator. The brief identifies these components but does not explain their signal rules, parameter settings, entry or exit…
The CCI Arrows indicator marks crossings of the Commodity Channel Index through its zero line with directional arrows, which may inform long or short decisions. Its configurable CCI period affects the balance between responsiveness and signal frequency:…
This document describes a ColorParabolic indicator variant with an input that lets the user choose the timeframe for its calculations or display. The example default is a four-hour period, allowing the indicator to be used with a timeframe selected through…
This trading system uses the XDeMarker_Histogram_Vol indicator to generate entries when a bar closes beyond an overbought or oversold level. It distinguishes two signal levels, assigning each its own order identifier and deposit share, so stronger and…
This indicator description explains a visual classification of market conditions based on two Bill Williams tools: the Awesome Oscillator (AO), used to represent driving force, and the Acceleration/Deceleration indicator (AC), used to represent acceleration.…
This post proposes a Chinese equity screening rule that combines daily price activity, the stock’s indicated gain at 9:25, and year-over-year net profit growth attributable to shareholders of the parent company. It selects stocks with an amplitude above 1,…
This post proposes an A-share screen using amplitude above 1, a share price of 18.5 yuan, and an outside-to-inside trading-volume ratio above 1.3. It treats amplitude as a volatility filter, the price cutoff as a price-level constraint, and the volume ratio…
This note outlines an A-share stock-selection rule requiring amplitude above 1, a close above a weekly moving average, and a MACD reading below zero two days earlier. The post interprets the amplitude condition as selecting volatile stocks, the…
This page introduces the exploration–exploitation problem in reinforcement learning: a learning agent must decide when to test actions that may reveal useful information and when to choose actions based on what it has learned so far. The lecture is…
This note describes a simple A-share stock screen combining a daily amplitude threshold above 1, a rising-bottom condition, and a current low below the previous session’s low. It frames the rising-bottom measure as a way to identify an improving price base,…
The document describes a simple indicator that combines momentum thresholds with crossovers between momentum and a smoothed momentum average. It calculates momentum over a 20-period lookback and smooths that series with a Wilder average using a 5-period…