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Knowledge library

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.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
TqSdk
86 documents
Quantpedia
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Binance API docs
45 documents
Quantopian lectures
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

22,592 documents

SuperMind

This document outlines a stock screen combining a daily price range above 1%, a closing price below 20, and afternoon large-order net inflows. It presents these as filters for volatility, lower-priced shares, and recent buying interest. The proposed…

EquitiesTechnical indicatorsVolatility
SuperMind

This post presents a stock-selection idea combining three filters: RSI below 65, a favorable company-type classification, and more than two limit-up sessions within a ten-day window. The author frames repeated limit-ups as a way to identify stocks attracting…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

This post describes a Chinese stock screening rule that combines a daily high-low price range of at least one unit, return on equity above 15% in each of the past five years, and membership in the beverage and alcohol import-export industry. It outlines the…

EquitiesFactor investingTechnical indicatorsChina markets
SuperMind

This post proposes screening stocks whose codes begin with 60, whose turnover rate falls within a stated range, and whose relationship between the prior day’s turnover and current auction volume relative to prior volume falls within a specified band. The…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

The post describes a screen for Chinese stocks associated with the metaverse theme, with circulating market value above a stated threshold and a cap on the gain early in the trading session. It provides formula and Python examples for identifying theme…

EquitiesChina marketsTechnical indicators
SuperMind

This post proposes a stock-selection screen that combines MACD above its zero line, upward separation of short moving averages, and a signal described as the start of a major advance. It illustrates calculations for MACD, moving averages, and KDJ, then…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This Chinese equity screening idea combines intraday range, a morning-star style candlestick condition, and positive afternoon net buying by large orders. The article frames the range as a volatility measure, the candle pattern as technical evidence, and…

China marketsEquitiesTechnical indicatorsMarket microstructure
SuperMind

The document describes a Chinese equity screen for stocks with turnover between 3% and 12%, listing year 2021, and recent institutional buying. It presents these filters as a way to combine trading activity and listing vintage with signals inferred from…

China marketsEquitiesMarket microstructure
BigQuant

This research summary describes a Barra-style risk model for Hong Kong stocks. It combines market and accounting data with Hang Seng industry groups and ten style exposures, including size, beta, momentum, volatility, value, liquidity, profitability, growth,…

EquitiesFactor investingStatisticsChina markets
SuperMind

The article proposes a Chinese equity screening rule using three conditions: a prior-day price range above a threshold, a positive reading for a “main force control” measure, and prior-day auction turnover above a stated cutoff. It presents the combination…

EquitiesTechnical indicatorsChina markets
BigQuant

The note explains how corporate actions such as stock splits, bonus shares, or ex-dividend adjustments can change a stock’s quoted price and share count without representing an equivalent loss in economic value. A backtest that compares unadjusted prices…

EquitiesBacktestingRisk management
SuperMind

This document describes a Chinese A-share stock screen using turnover between 3% and 12%, market capitalization below 10 billion yuan, positive net income, and a control ratio above 21%. It frames the control ratio as a measure for narrowing the pool after…

EquitiesChina marketsFactor investing
SuperMind

The document outlines a Chinese stock selection screen combining daily price amplitude above 1, RSI below 65, and a daily position-increase ratio above 5%. It interprets the amplitude and RSI filters as technical conditions and the increase ratio as a sign…

EquitiesTechnical indicatorsMomentumStatistics
MQL5 code base

The document explains the Guppy multiple moving average indicator as two groups of exponential moving averages. One group uses periods 3, 5, 8, 10, 12, and 15 to represent short-term trading activity; the other uses periods 30, 35, 40, 45, 50, and 60 to…

Technical indicatorsTrend followingEquities
ProRealCode

The document describes a long-only stock strategy that trades when the closing price is above a rising 200-period moving average. It uses a faster and a slower moving average as a crossover trigger: a bullish cross opens a position, and a bearish cross…

EquitiesTrend followingTechnical indicatorsPosition sizing
SuperMind

The document proposes a Chinese stock-screening rule combining three conditions: today’s increase in shareholding proportion exceeds a threshold, large-order net inflow is positive during the afternoon, and the 30-day moving average is rising. The stated…

EquitiesMomentumTechnical indicatorsStatistics
SuperMind

The document describes a short-term equity screen for main-board stocks. It selects shares with turnover between 3% and 12%, a K indicator below 20, and a daily gain above 1%. The post also gives a reference expression and a sample Python workflow that…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note presents a Chinese-equity screening approach that ranks stocks by relative volume and selects prices between the middle and upper Bollinger Bands, while also considering an early-session gain threshold. Its initial description uses a gain below 6%,…

China marketsEquitiesTechnical indicatorsVolatility
BigQuant

This tutorial describes how to create a forward-looking label for whether a Chinese stock will close limit-down, outside a price limit, or limit-up on the next trading day. It uses a precomputed stock factor table and a price-limit status field whose values…

EquitiesChina marketsStatisticsBacktesting
SuperMind

This stock selection method focuses on companies classified in the metaverse industry. It filters for a volume ratio between 1.5 and 6 and then keeps stocks in the top 10% by large-order net flow. The intended idea is to find shares experiencing elevated…

EquitiesChina marketsMarket microstructureMomentum
SuperMind

This proposed stock screen combines a technical condition with a dividend measure. It calls for RSI below 65, a positive product of percentage price change and a large-order net-flow measure, and a 2019 dividend ratio above 25%. The article describes the…

EquitiesChina marketsTechnical indicatorsFactor investing