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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

12,226 documents

SuperMind

This stock screen combines three filters: price amplitude above 1%, weekly MACD above zero, and a stock code beginning with 60. The document presents the MACD condition as a comparison of the MACD line with its signal line on the prior bar, alongside a…

EquitiesTechnical indicatorsChina markets
SuperMind

The article describes a Chinese stock-selection screen using an RSI below 65, a ratio of external to internal trading volume above 1.3, and a ranking by stock popularity. It presents these filters as a combination of technical conditions and measures of…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

The document outlines a Chinese equity screen combining company size, recent trading activity, and an indicator described as capital strength. Its headline criteria are companies valued below 10 billion yuan, no losses, and previous-day turnover above 8%,…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This stock screen selects companies classified in the metaverse industry whose opening price is near the 10-day moving average and whose recent 10-day return is positive but below 35%. The article frames proximity to the moving average as a way to assess…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This short-term stock screen selects shares with an amplitude above 1 that appeared on the previous day’s trading leaderboard and whose first-level buy volume exceeds first-level sell volume. The document presents the combination as a way to identify stocks…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This A-share screening idea combines three conditions: RSI below 65, a ratio of outside-market to inside-market volume above 1.3, and an opening price near the 10-day moving average. The accompanying example translates these filters into a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening post describes selecting shares priced below 12 yuan, with turnover between 3% and 12%, and a pattern it calls a reversal or “wraparound” candle. Its indicator conditions include a low price threshold and an RC value no greater…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

The post proposes screening Chinese stocks for MACD above zero, upward separation of short moving averages, and a prior-day auction turnover condition. It presents the combination as a way to select for positive momentum while using trading activity as a…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock-selection note describes a short-term screen for Chinese equities based on three conditions: turnover between 3% and 12%, a ratio of outside to inside trading volume above 1.3, and a closing price above the previous day’s low. The combination is…

China marketsEquitiesTechnical indicatorsMarket microstructure
SuperMind

The post proposes a Chinese equity screen combining daily price amplitude, afternoon large-order net inflow, and a record of high return on equity over five years. It frames the criteria as a mix of price activity, money flow, and company profitability, and…

China marketsEquitiesFactor investingSentiment
SuperMind

The article proposes a Chinese-equity screen that combines a price-range condition, a named morning-star signal, and a historical dividend payout ratio above a stated threshold for 2019. It frames the combination as a way to identify shares with short-term…

EquitiesTechnical indicatorsFactor investing
SuperMind

This brief A-share stock-screening note combines three conditions: turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a reversal pattern described as a counterattack or engulfing move. The conditions aim to identify…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This article surveys engineering choices for algorithmic trading systems, including desktop computers versus dedicated or cloud servers, operating-system trade-offs, remote access, and low-latency server placement. It emphasizes resilience: developers should…

ExecutionHigh-frequency tradingRisk managementStatistics
SuperMind

This Chinese-language post describes a daily premarket stock screen that combines MACD above its zero line, a share price below 12 yuan, and evidence of institutional accumulation. It presents the screen as a blend of technical, price, and capital-flow…

EquitiesTechnical indicatorsChina marketsMomentum
SuperMind

This article describes a stock selection screen combining three conditions: membership in the metaverse industry, a rounded-bottom chart pattern, and a 20-day moving average above the 120-day moving average. It presents the moving-average relationship as a…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The post describes a technical stock screen combining daily price amplitude above a threshold, a positive weekly MACD reading, and detection of a bullish morning star candlestick pattern. It presents the morning star as a three-candle reversal signal and…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

The post outlines a stock screen focused on shares whose codes begin with 60, using data from 2021. It presents this universe as relatively large-cap and liquid, then proposes adding financial filters such as a current ratio threshold and a price-to-earnings…

EquitiesChina marketsFactor investingBacktesting
SuperMind

The screen selects Chinese stocks using three conditions: closing price below 12, at least two limit-up days within the previous ten days, and today’s net buying share above 5%. The accompanying explanation interprets repeated limit-ups as evidence of…

China marketsEquitiesMomentumBreakout
SuperMind

This proposed A-share stock screen combines three conditions: RSI below 65, the ratio of external to internal trading volume at least 1.3, and circulating market capitalization above 10 billion yuan. The article presents the combination as a way to mix a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen selects Chinese equities whose codes begin with 60, whose intraday high-low range relative to the open exceeds 1, and whose institutional-fund flow measure is positive. The accompanying formula aggregates positive net fund amounts over five…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This post presents a stock-selection screen for companies in the metaverse theme. It requires yesterday’s price to be above the 250-day moving average and a positive recent return. The accompanying examples outline selecting members of a thematic group,…

EquitiesMomentumTrend followingTechnical indicators
SuperMind

This Chinese-language post describes an equity screen that ranks candidates by volume ratio, filters for circulating market value at or below 5.5 billion yuan, and requires the 20-day moving average to exceed the 120-day average. The stated rationale is to…

EquitiesMomentumTechnical indicatorsRisk management