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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 stock selection rule combines a 14-period RSI below 65, three consecutive declining sessions, and a positive price-to-earnings ratio. The article frames the conditions as a blend of technical behavior and a basic profitability valuation filter, and…

EquitiesTechnical indicatorsMean reversionStatistics
SuperMind

This Chinese equity screening idea combines three filters: turnover within a specified range, outside volume more than 1.3 times inside volume, and an opening-auction price change between -2% and 5%. The article presents the criteria as a way to select…

EquitiesChina marketsMarket microstructureTechnical indicators
ProRealCode

This opinion piece challenges the idea that quantitative trading is uniformly harmful to retail investors. It contrasts high-frequency approaches, which it says may use speed and securities lending to affect momentum-driven trades, with lower-frequency…

High-frequency tradingEquitiesRisk managementPortfolio construction
BigQuant

This brief note lists four candidate low-frequency factors based on daily price behavior over a rolling window: the close’s relative position or spread within the period, the relative index of the period high, the relative index of the period low, and the…

Factor investingTechnical indicatorsEquities
SuperMind

This proposed equity screen combines capital-flow strength with a robotics theme, a small free-float market capitalization, and a historical dividend payout ratio above a stated threshold. Its rationale is that strong flows may indicate investor interest,…

EquitiesChina marketsFactor investingRisk management
SuperMind

This stock screen combines a metaverse theme filter with two price conditions: the close must be above the previous session’s low and between the Bollinger middle line and upper band. The post presents the range as a sign of upward price strength and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection example combines a 14-period RSI below 65 with MACD above its zero line, alongside a reference to the year 2021. The stated rationale is to seek stocks with relatively moderate RSI readings and positive trend momentum. The document…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

The article argues that company and industry research helps investors understand potential investment candidates, while market sentiment influences whether and when those candidates gain attention. It distinguishes sell-side research, which provides…

EquitiesSentimentChina markets
SuperMind

This note outlines a short-term stock screen combining four conditions: RSI below 65, external volume divided by internal volume above 1.3, current volume above 10,000 lots, and an opening price above the prior close. It presents the ratio as a possible sign…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This note proposes screening Chinese A-share stocks in the metaverse sector using an early-session price condition and enterprise classification. The described rule caps the 9:25 a.m. gain at 6% and adds a selected enterprise type, with high-tech and…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note describes a Chinese A-share screening rule for stocks in the metaverse sector. It combines a 9:25 a.m. price-gain ceiling of 6% with an RSI reading below 65, aiming to identify stocks with limited early-session gains and a moderate momentum…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and positive net buying attributed to major participants during the opening auction. The article presents the combination as…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article outlines a daily stock backtest framework in which a natural-language screening query selects entries. The example framework also allows a maximum number of holdings, a holding-period exit, and optional take-profit and stop-loss thresholds.…

EquitiesBacktestingExecutionRisk management
SuperMind

This note describes a Chinese A-share screen requiring a daily high-low range above 1% of the previous close, a ticker beginning with 60, and a prior-day 9:15 auction match price at the limit-down level. It interprets the range as a volatility filter and the…

EquitiesVolatilityTechnical indicatorsChina markets
SuperMind

This stock-selection proposal filters for amplitude above 1, weekly MACD above zero, and turnover between 2% and 9%. It combines a price-range condition and a weekly trend measure with turnover as a proxy for trading activity and liquidity. The document…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This stock screen combines three technical conditions: amplitude above 1, MACD above the zero line, and a newly formed KDJ golden cross. The document interprets amplitude as a sign of price movement, positive MACD as evidence of a favorable trend, and the…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The post describes a Chinese equity screen that ranks Shenzhen Main Board stocks by capital-flow strength and filters for price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0 to 3.11. It presents the valuation bands as a way to find…

EquitiesFactor investingChina markets
SuperMind

This note describes a momentum-oriented stock screen with four conditions: amplitude above 1%, MACD crossing above zero, current volume above 10,000 lots, and an opening price above the previous session’s high. The proposed rationale is that a volatile move,…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock-screening note proposes selecting shares with daily price amplitude above 1%, a closing price of exactly 18.5 yuan, and a float of no more than 5.5 billion shares. It presents the screen as a way to find active, volatile stocks with…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This document describes a Chinese equity screen that selects stocks with codes beginning with 60, ranks them by volume ratio, and requires an upward trend in the 30-day closing-price average. The article treats volume ratio as a rough measure of trading…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document presents a Chinese stock screen focused on companies associated with the metaverse and robotics themes. It filters for a volume ratio within a specified range and limits circulating market capitalization, describing the volume condition as a…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This document describes a Chinese equity screening rule that selects stocks with amplitude above a threshold, three moving averages in a bullish crossover arrangement, and a rising DEA line. It frames the combination as a way to find relatively strong stocks…

EquitiesTechnical indicatorsMomentumChina markets