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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 Chinese-language post describes a stock screen combining three conditions: price amplitude above 1%, large-order net inflow in the afternoon, and a shortening MACD histogram on a 15-minute chart. It presents the combination as a way to find active…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post outlines an equity screening idea that ranks stocks by a volume-ratio measure, checks whether price is moving within Bollinger Bands in a rounded pattern, and looks for shrinking negative MACD histogram bars on a 15-minute chart.…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This post outlines a Chinese stock screening idea combining a daily price range threshold, a nonempty convertible bond name field, and short-term moving-average conditions. It first describes upward divergence in moving averages, then presents a refined rule…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This article describes an equity screen requiring a 14-period RSI below 65, three consecutive declining sessions, and a circulating market value between 5 and 10 billion yuan. The stated rationale is to find stocks showing short-term weakness while retaining…

China marketsEquitiesMean reversionTechnical indicators
SuperMind

This article presents a stock screen that combines daily price amplitude above a stated threshold, a K-line indicator below a stated level, and a positive return. Its formula defines amplitude relative to the previous close, while its sample Python logic…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

This Chinese-language article proposes screening stocks after each trading day for positive MACD momentum and a rising DEA line, then ranking qualifying names by market attention. Its sample formulas calculate DIF and DEA with exponential moving averages,…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document describes a Chinese equity screen combining three conditions: a price-range measure above a stated threshold, a 2019 dividend-related ratio above a stated threshold, and a rising weekly moving average. The moving-average condition is further…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This A-share screening idea combines an RSI below a stated ceiling with three consecutive bearish sessions and recent consecutive limit-up activity. Its premise is to identify stocks showing short-term price weakness while retaining signs of strong market…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This weekly factor report describes two forms of diagnostics for the ten highest-ranked anonymous ModelScore factors: average style exposures estimated through daily multivariate regressions, and average industry-level Rank ICs measuring the cross-sectional…

EquitiesChina marketsFactor investingStatistics
SuperMind

This A-share screening rule combines a minimum price range, a cap on the 9:25 opening indication, and a rising 30-day moving average. The stated rationale is to seek stocks with some recent movement while avoiding an unusually large opening gain, then use…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This post outlines a Chinese equity screening rule combining unusually large daily range, a close between the middle and upper Bollinger bands, and more than two limit-up sessions within ten days. It presents the screen as a way to identify volatile stocks…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The study applies the CCK approach to detect herding among the constituents of Chinese equity indices. It treats herding as a period when constituent returns move more alike: their co-movement increases while the dispersion of returns falls. The authors also…

EquitiesChina marketsStatisticsMomentum
BigQuant

This research summary examines what drives convergence in the basis of stock index futures and how those drivers can inform cash-and-futures hedging. After accounting for dividend effects, it identifies the current contract’s annualized basis, the index’s…

FuturesEquitiesStatisticsDerivatives pricing
BigQuant

The document outlines a daily stock rotation schedule: buy ten stocks at the open, hold each cohort for five days, and sell it at the close on its fifth day. It allocates capital in five equal portions, investing one portion in each day’s new cohort. From…

EquitiesPosition sizingBacktestingPortfolio construction
MQL5 code base

This description outlines an expert advisor that combines a Harami candlestick pattern with fast and slow moving averages. It is presented for major forex pairs and Nasdaq stocks on four-hour and daily charts, and includes settings for trade size, stop loss,…

ForexEquitiesTechnical indicatorsRisk management
SuperMind

This note describes a Chinese equity screen combining circulating market capitalization of at least 10 billion yuan, a prior-day high-to-low ratio above 1, and a limit-up event during 2021. It frames the criteria as a way to find larger, volatile stocks with…

China marketsEquitiesVolatilityMomentum
SuperMind

This stock-selection proposal combines metaverse classification, robot-related concept membership, turnover activity, a circulating-market-capitalization ceiling, and a limit on recent price appreciation. The final stated screen requires yesterday’s turnover…

China marketsEquitiesMomentumSentiment
SuperMind

This Chinese stock-screening note proposes combining price amplitude, robot-sector membership, and circulating market capitalization. Its final revised rule selects robot-related shares with amplitude above 1% and float capitalization between 10 billion and…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

This Chinese stock-selection example screens for shares with daily amplitude above 1, upward-diverging moving averages, and an opening price near the 10-day moving average. The accompanying Python example calculates amplitude relative to the previous close,…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The post describes a premarket stock screen combining a positive MACD reading, a price below the stated threshold, and a prior-day 9:15 matching price at the limit-down level. It frames the conditions as a way to combine a technical signal, a low share…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese-language post describes a stock selection screen that combines an RSI threshold below 65, membership in a beverage and alcohol import-export industry category, and a bullish alignment of three moving averages. It gives illustrative indicator…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes a stock-selection screen combining three filters: membership in the metaverse theme, positive institutional activity, and return on equity above 15% in each of five consecutive years. It frames the theme as a…

China marketsEquitiesFactor investingRisk management
SuperMind

This Chinese stock-selection note combines three conditions: a 14-period RSI below 65, first-level bid volume greater than first-level ask volume, and the KDJ K line below 20. The author presents the rules as a blend of technical readings and order-side…

EquitiesChina marketsTechnical indicatorsMarket microstructure