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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
Quantpedia
86 documents
TqSdk
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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,226 documents

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
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
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
SuperMind

This document reports a backtest of a long-only strategy labeled TV_RSI on hourly BTC-USDT candles from Binance. It covers 493 days, from January 1, 2020, through May 8, 2021. The report lists 94 closed trades, a 179.25% total net profit, a 27.04% maximum…

CryptoSpot marketsTechnical indicatorsBacktesting
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
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
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
SuperMind

The article reviews the progression from earlier GPT language models to GPT-3, emphasizing scale and the ability to perform varied tasks from prompts or examples without task-specific fine-tuning. It describes code generation alongside broader language…

Machine learningStatistics
SuperMind

The document proposes screening Chinese equities for membership in the metaverse sector, a rounded price pattern, and a specified share price. Its later explanation shifts from a fixed price to comparing the current price with a historical low, using a…

EquitiesTechnical indicatorsChina markets
SuperMind

The document describes a Chinese stock screen combining a daily price-range condition, prior-day turnover within a specified band, and return on equity above 15% for five consecutive years. It presents the screen as a way to pair recent trading activity and…

EquitiesFactor investingVolatilityRisk management
SuperMind

This Chinese-language post proposes placing a stock in a candidate pool when its amplitude exceeds 1%, it recorded at least one limit-up day in the prior 25 days, and the weekly five-period moving average crosses above the ten-period average. The stated…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes an equity screening rule combining three conditions: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and the 20-day average above the 120-day average. The rationale…

China marketsEquitiesTechnical indicatorsTrend following