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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

12,226 documents

SuperMind

This Chinese community post proposes a stock selection rule combining daily price range, a positive but bounded ten-day return, and positive afternoon net inflow from large orders. The stated rationale is to find stocks with some recent appreciation and…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This stock-selection idea screens Chinese equities associated with the metaverse theme, requires a positive institutional-flow reading, and selects stocks whose closing prices lie between the middle and upper Bollinger bands. The proposed rationale is to…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-screening idea combines three conditions: amplitude above 1, a change in an institutional trading-volume measure, and at least one limit-up event within the prior month. The accompanying explanation treats volatility as a sign of active trading,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

These notes summarize ideas from a Chinese trading book through ten named principles and effects. They cover how payment frequency shapes perceived gains and losses, how unknown factors and nonlinear systems complicate market decisions, and how penalty kicks…

Trend followingRisk managementStatisticsSentiment
SuperMind

This post proposes a Chinese equity screen combining price movement and Bollinger Band position. It selects stocks with a daily high-to-low range above a volatility threshold, at least one daily gain of 10% or more during the previous 25 trading days, and a…

China marketsEquitiesVolatilityMomentum
SuperMind

The article proposes screening Chinese A shares in the metaverse industry for stocks reported on the prior day’s Dragon-Tiger list and with first-level bid volume greater than first-level ask volume. It interprets the quote imbalance as a sign of positive…

EquitiesChina marketsSentimentMarket microstructure
SuperMind

The discussion concerns how to retrieve constituent stocks for Tonghuashun industry indices, including index 881129. The original poster says common index, industry, and concept constituent functions did not return the desired codes. A reply suggests…

EquitiesChina markets
SuperMind

This Chinese-language post outlines a stock screen combining price movement, recent strength, and MACD. The initial criteria look for stocks with a large daily high-low range, at least one session with a gain of 10% or more in the recent 25 trading days, and…

EquitiesMomentumTechnical indicatorsVolatility
SuperMind

This stock selection method screens after each trading day for shares whose MACD histogram is above zero and whose close is above the prior day's low. It then ranks qualifying names by reported stock heat, from highest to lowest, and the example code retains…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening idea selects stocks with an amplitude above 1, a product of yesterday’s turnover and today’s auction volume relative to yesterday’s volume between 0.5 and 2, and a prior-day signal that major market participants controlled the…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This document outlines a Chinese equity screen requiring turnover between 3% and 12% and year-over-year growth in net profit attributable to shareholders of the parent company between 20% and 100%. It then ranks qualifying stocks by capital strength, which…

EquitiesChina marketsFactor investingRisk management
SuperMind

This document describes a Chinese equity screening strategy combining membership in the metaverse sector, a pre-open or opening gain below 6%, and a signal interpreted as institutional buying. Its rationale is to find stocks that institutions may be…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

The article presents a short-term stock screen combining positive price change, turnover between 3% and 12%, an outside-to-inside trading volume ratio above 1.3, and a positive product of price change and large-order net flow. Its rationale is that liquidity…

EquitiesMarket microstructureTechnical indicatorsMomentum
SuperMind

This stock-selection idea combines membership in the metaverse theme with a limit on the opening price increase and a history of strong return on equity. The stated screen seeks firms with ROE above 15% for five consecutive years and an opening gain below…

EquitiesFactor investingTechnical indicatorsRisk management
SuperMind

The article explains how WorldQuant’s 101 formulaic alphas combine short horizon price and volume features, often mixing momentum and mean reversion. It distinguishes signals traded on the same day as their latest input from those traded later, and walks…

EquitiesFactor investingMomentumMean reversion
SuperMind

The document outlines a daily pre-market screen for Chinese stocks that combines three conditions: MACD above zero, positive trailing P/E, and a circulating share count no greater than 5.5 billion shares. It interprets positive MACD as a sign of an upward…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This stock-selection rule screens companies classified in the metaverse theme, requiring the prior day’s actual turnover to fall between 3% and 28% and the opening price to be above the ten-day moving average. The article gives the conditions in plain…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This note proposes selecting stocks in the metaverse theme whose previous closing price is above the 250-day moving average, then applying a filter for company characteristics. It describes the theme as a way to target a popular sector and the long moving…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This note describes a technical stock screen requiring MACD to be above its zero line, short-term moving averages to fan upward, and the weekly price to cross above a 30-week moving average. It supplies indicator formulas and a Python example that…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This note proposes screening Chinese stocks with positive but limited returns over the prior ten days, a report of main-fund control on the previous day, and at least five converging moving averages. It then revises the screen to use six moving-average…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen selects equities with turnover in a stated range, a prior-day appearance on a market trading activity list, and upward-moving averages. The detailed conditions also require a listing history exceeding one year, a close above its ten-day…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This stock-selection idea combines three filters: price amplitude above a stated threshold, actual turnover from the prior day within a specified range, and exclusion of stocks that closed at the daily upper price limit on the previous day. The document…

EquitiesTechnical indicatorsBacktestingRisk management
SuperMind

This Chinese stock-selection article proposes combining an RSI reading below 65 with seven consecutive sessions in which the close is below the open, followed by a strong upward move on elevated volume. It describes the final condition as a close near the…

EquitiesTechnical indicatorsMomentumBreakout