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
This catalog describes built-in quantitative data fields for Chinese A-share equities. Its factor families include historical prices, returns, trading volume and value, turnover, active money flows, valuation ratios, profitability and balance-sheet measures,…
This weekly digital-asset snapshot combines price action with derivatives positioning, institutional flows, order-book liquidity, spreads, and DeFi indicators. It describes Bitcoin testing support near $86,000 amid a broader risk-off move, while ETF…
This reference explains exchange rules that determine whether orders are accepted. Symbol-level checks cover valid price ranges and increments, quantity bounds and steps, notional value limits, iceberg order parts, trailing-stop parameters, and caps on open…
This market commentary links changing Federal Reserve rate-cut expectations with risk-asset performance, then examines relative strength and options conditions in Bitcoin and Ether. It discusses how realized volatility and the ETH/BTC ratio may reflect…
This stock screen combines three filters: daily amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute interval, and positive indicators associated with beverage and alcohol imports and exports. The stated rationale is to seek…
This overview organizes strategy examples collected from a cryptocurrency trading platform into three groups: basic trading aids, simple strategies for study, and strategies described as having performed well in live trading. The examples span price alerts,…
This document proposes screening A-shares for turnover between 3% and 12%, total market value below 10 billion yuan, no reported losses, and free-float market value above 1 billion yuan. It frames the combination as a way to narrow the universe by trading…
This document describes an Expert Advisor that generates a trading signal when the i4_DRF_v3 indicator histogram changes color as a bar closes. It is an indicator-driven rule: the EA reads the color transition at the completed bar and forms a signal, with…
This document describes a stock-selection rule for A-shares using three conditions: price amplitude above 1%, a 2021 date filter, and best bid volume greater than best ask volume. It presents the rule as a way to identify more volatile stocks with potential…
This Chinese-language Q&A clarifies two optional inputs for BigQuant strategy backtests or simulations. Backtest historical data is the replayed market bar data and corresponds to the data argument of the trade function. Other data input supplies external…
This market commentary interprets crypto option-implied distributions and volatility around the 2024 US election. It uses calibrated BTC options distributions to compare the market-implied chance of prices above $72,000 at the November 8 and December 27…
The document explains how to create an OctoBot custom profile by duplicating an existing profile, then choosing which evaluators, strategies, and trading modes it enables. A profile’s tentacle configuration records these selections and is updated when the…
The document presents an indicator intended to display a daily SuperTrend line on a lower-timeframe chart for intraday use. It derives a daily true-range measure from daily highs, lows, and prior closes, then forms upper and lower bands around the daily…
This article describes a daily pre-market stock screen for Chinese equities. It selects stocks whose MACD value is above zero, whose trailing price-to-earnings ratio is positive, and whose observation falls in 2021. The article interprets positive MACD as an…
The document outlines a way to weight stock positions using a momentum signal and an estimate of volatility. It describes two alternatives: an exponentially weighted moving average based on squared returns, and a Yang–Zhang variation of Garman–Klass…
The document describes an indicator that plots a cumulative statistical distribution of bid and ask prices. It also says the analysis can be applied to high and low prices or to open and close prices, allowing users to inspect different pairs of price series…
This brief indicator description presents RSI values for the open, high, low, and close prices together as a candle display. It describes the implementation as a lighter-resource version that uses the platform’s standard RSI calculation function. The note…
This tutorial walks through a small Python implementation of the skip-gram model, a method for learning word vectors by predicting surrounding tokens from a center token. It represents input and output embeddings as separate matrices and uses a toy sentence…
This document is a historical trading-platform report for an EURGBP system on daily data covering October 2021 through September 2022. It lists extensive configuration settings, including ATR, ADX, moving-average periods, spread and margin limits, trend…
This post proposes an equity screen combining daily range above a threshold, rising lows, and price above its five-day moving average. Its expanded version adds a longer-term trend check using the 20-day and 250-day averages, valuation limits, market-cap…
This beginner’s reflection defines quantitative investing as identifying relationships between inputs, or factors, and future returns, checking those relationships against historical data, then using current observations to estimate future opportunities. It…
This article recounts the 2025 Bybit theft and describes how the attackers reportedly compromised the Safe wallet interface, deceived signers, and changed the wallet implementation before moving the assets. It outlines subsequent laundering through…
This post describes a short-term stock screen combining three prior-day conditions: price amplitude above 1%, appearance on the market’s named trading list, and turnover above 8%. The rationale is to find shares with notable movement and active trading,…
The document describes an indicator that plots the high and low of the previous day, week, and month as reference levels for trading. Its distinctive design anchors each line at the bar where the relevant extreme occurred, conveying the level’s age and how…