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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 screen selects Shanghai-listed A-share stocks whose codes begin with 60, whose turnover is between 3% and 12%, and which are described as having reached a three-day consecutive limit-up sequence the prior day. Its stated rationale is short-term…

EquitiesChina marketsMomentumBreakout
SuperMind

This A-share stock screen combines a metaverse sector classification, prior-day turnover above 8%, and a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than 10%. The rationale is to bring together sector exposure, trading activity,…

EquitiesChina marketsMomentumStatistics
BigQuant

This article presents five discretionary rules for interpreting stock turnover, support and resistance, trend direction, and price-volume behavior. It treats unusually high turnover near price lows as possible accumulation and high turnover after a sharp…

EquitiesTrend followingTechnical indicatorsRisk management
SuperMind

This A-share stock screen combines an intraday range filter, an exact closing-price condition, and a 15-minute MACD histogram condition. The post describes the intended screen as selecting stocks with an amplitude above one percent, a price of 18.5 yuan, and…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

This example presents a two-sided strategy for the S&P 500 and says its Bollinger Band period and moving-average period are the two optimized variables. It buys when both the open and close are at or below the lower Bollinger Band, and sells short when both…

EquitiesUS marketsMean reversionTechnical indicators
SuperMind

This A-share screening idea combines recent price-limit events with a measure of trading activity. It defines capital strength as yesterday’s turnover multiplied by the ratio of today’s opening-auction volume to yesterday’s volume, then keeps values between…

EquitiesChina marketsMomentumBreakout
SuperMind

The document describes an A-share stock screen combining turnover, market capitalization, profitability, and a weekly price crossover. It selects companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, no losses, and a weekly…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This note proposes screening Chinese stocks for daily amplitude above 1%, evidence described as main-force control on the previous day, and growth in the KDJ indicator’s K value. The rationale is to combine elevated short-term price movement and signs of…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note describes a Chinese stock screening rule combining daily price amplitude above 1%, afternoon large-order net inflow, and a MACD condition from two days earlier. It presents the filters as a way to find stocks showing both price movement and buying…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article describes a technical stock screen seeking high daily price ranges, at least one daily gain of 10% or more within the previous 25 trading days, and an upward alignment of moving averages. Its suggested refinement requires the close to be above…

EquitiesTechnical indicatorsMomentumBreakout
Jesse

This stock-screening article starts with three filters: RSI below 65, exposure to the beverage and alcohol import-export industry, and a closing price above the previous day’s low. It then proposes a stricter version using a close above the 60-day moving…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This forum post responds to a question about selling after a 10% gain or cutting a position after a 10% loss. The included example checks open equity positions against current prices, retrieves the highest price since purchase, and exits when price falls 7%…

EquitiesRisk managementExecution
SuperMind

This article translates Steve Leuthold’s value-investing approach into a monthly stock-selection method for Chinese equities. It ranks candidates using low price-to-book, price-to-earnings, and price-to-cash-flow ratios relative to market averages, alongside…

EquitiesFactor investingBacktestingRisk management
SuperMind

This post presents a short-term equity selection screen using three signals: more than two limit-up sessions in the prior ten days, RSI below 65, and ranking by capital-flow strength. It interprets the RSI threshold as leaving room for further gains, capital…

EquitiesMomentumTechnical indicatorsMarket microstructure
SuperMind

This Chinese-language post describes an equity screen combining daily price range, five years of return on equity above 15%, and a daily price change between −5% and 2.6%. It also proposes adding a price-to-book ratio no higher than five and revenue growth…

EquitiesFactor investingTechnical indicatorsChina markets
SuperMind

This document proposes screening stocks in the metaverse sector for a recent limit-up event and greater volume on the best bid than on the best ask. It specifies selecting during the morning, before 10:00, for same-day trading. The post includes example…

EquitiesChina marketsTechnical indicatorsMarket microstructure
BigQuant

This article describes a daily process for building a watchlist of strong stocks. After the close, rank shares by traded value and keep the top 30. From that group, look for stocks rising more than 3% on increased volume, giving extra attention to volume…

EquitiesMomentumBreakoutTechnical indicators
SuperMind

This document proposes a Chinese A-share selection screen combining a relative strength index below 65 with a ratio of external to internal trades above 1.3. It also filters for a product of the prior day’s turnover rate and the ratio of current auction…

EquitiesTechnical indicatorsChina marketsMarket microstructure
SuperMind

The strategy rotates among China’s four largest banks using each stock’s current price relative to the previous close. When flat, it buys the bank with the weakest ratio if the spread between the strongest and weakest ratios exceeds a preset threshold. When…

EquitiesMean reversionPairs tradingExecution
SuperMind

This A-share selection method requires MACD to be above its zero line, parent-company net profit growth to be greater than 20% and no more than 100%, and more than two limit-up days within the past ten days. The examples show a possible weekly screening…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This document describes an A-share stock screen combining turnover of 3%–12%, a daily gain above 1%, main-board listing, and a top-50% return rank for 2021. It explains the turnover band as a way to focus on active stocks while avoiding extreme activity, and…

EquitiesMomentumTechnical indicatorsChina markets
BigQuant

This Chinese-language article introduces a workflow for building custom stock-selection strategies on the older BigQuant platform. It contrasts platform-generated AI strategies, which learn from selected factors but may be difficult to interpret or tune,…

EquitiesFactor investingBacktestingMachine learning
SuperMind

This Chinese-language post describes a stock screen combining daily price range, positive institutional net flow, and a relative-volume band. The stated rules select stocks with an amplitude above one, institutional flow above zero, and volume ratio between…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This stock-screening idea selects companies whose codes begin with 60, whose amplitude exceeds one, and which were described as under major-player control on the previous day. The rationale is to narrow attention to volatile stocks with a potentially notable…

EquitiesChina marketsTechnical indicatorsFactor investing