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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
Quantopian lectures
45 documents
Binance API docs
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

The document presents a daily stock-selection screen combining three conditions: MACD above its zero line, a closing price below 12 yuan, and the 20-day moving average above the 120-day moving average. It says the scan is run before the market opens and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening proposal combines a daily turnover range of 3%–12%, appearance on the previous day’s trading leaderboard, and a bullish weekly candle. Its rationale is to pair a liquidity or activity filter with a recent market-attention…

EquitiesTechnical indicatorsChina marketsMomentum
SuperMind

This document describes a stock-selection rule based on three conditions: RSI below 65, seven consecutive bearish daily candles, and a listing age greater than a chosen number of years. It presents the screen as a way to identify established companies after…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This document outlines a daily screening rule for Chinese equities in the metaverse industry. It selects stocks when the KDJ indicator has just formed a bullish crossover and the volume ratio is between 1.5 and 6, with selection performed before 10 a.m. The…

EquitiesChina marketsTechnical indicatorsMomentum
FMZ forum

The article reviews evidence that individual investors often buy after prices fall and sell after they rise, while more financially sophisticated groups may show more momentum-oriented trading. It discusses several possible explanations: investors’ beliefs…

EquitiesMomentumMean reversionMarket microstructure
BigQuant

This brief strategy description proposes checking stocks one by one to identify which has produced the highest return under an event strategy, then buying that stock. It specifies daily Chinese stock-bar data, a backtest beginning in 2020 and running through…

EquitiesEvent-drivenBacktestingChina markets
SuperMind

This Chinese stock-screening proposal selects high-amplitude shares that had three consecutive limit-up sessions, then checks whether the latest close lies between the middle and upper Bollinger Bands. The post presents the sequence as a way to find active…

China marketsEquitiesTechnical indicatorsBreakout
SuperMind

This stock-screening idea combines three conditions: at least five moving averages converge, company scale exceeds two hundred million in the source’s stated units, and the dividend payout ratio for 2019 is above 25 percent. The post interprets converging…

China marketsEquitiesTechnical indicatorsFactor investing
BigQuant

This older Chinese-equity strategy looks for stocks that rally to the daily limit, pull back, and later break to a new high. It defines a pullback as any post-limit-up close below the earlier limit-up price. After the pullback, a new high triggers a purchase…

China marketsEquitiesBreakoutMomentum
SuperMind

This screening approach focuses on stocks classified in the metaverse sector, with actual turnover on the prior day between 3% and 28%, and a rising KDJ K value. The article interprets sector membership as exposure to a potentially growing theme, turnover as…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The proposed stock screen selects equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a K-line value below 20. The article characterizes these as technical conditions and suggests the combined filters…

EquitiesTechnical indicatorsMarket microstructure
SuperMind

This stock-selection rule combines three conditions: price amplitude above 1, evidence of main-fund control on the prior day, and shortening MACD histogram bars on a 15-minute chart. The document presents these as signs of activity, capital interest, and…

EquitiesTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screen that combines three conditions: daily amplitude above 1%, weekly MACD above the zero axis, and positive net buying attributed to major investors during the opening auction. It frames the range and MACD measures…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document proposes a weekly Chinese equity screen focused on metaverse-related stocks. It selects shares that recorded a limit-up within the prior 25 days and had large-order net volume above 0.05 for at least three consecutive days. The stated approach…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document describes a Chinese equity screening rule that combines a turnover range of 3% to 12%, a stochastic K value below 20, and a rising MACD signal line (DEA). It presents the conditions as a buy signal and gives example implementations using a…

EquitiesTechnical indicatorsMomentum
SuperMind

This document presents an A-share stock screen that combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a volume ratio between 1.5 and 6. It describes turnover and the crossover as participation and trend signals, while the volume…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This A-share screening idea selects stocks with a MACD line above zero, high relative investor attention, trading volume above a stated threshold, and an opening price above the previous close. The screen is run after the daily close. Its rationale is to…

EquitiesChina marketsMomentumTechnical indicators
ProRealCode

This stock strategy builds a daily signal from two nested exponential moving averages: a longer average of closing prices and a shorter average of that result. Their percentage difference serves as a proxy for comparing daily and weekly RSI behavior around…

EquitiesTechnical indicatorsVolatilityRisk management
SuperMind

This post describes a Chinese A-share stock screen based on three conditions: price amplitude above one percent, a nonempty name for an outstanding convertible bond, and at least one daily gain of ten percent or more during the previous 25 trading days. It…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document proposes screening Chinese stocks with codes beginning in 60 for turnover between 3% and 12% that appeared on the prior day’s market watchlist, known as the Dragon and Tiger List. Turnover is treated as a liquidity filter, while the watchlist…

EquitiesChina marketsMarket microstructureSentiment