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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

12,226 documents

SuperMind

This Chinese stock-screening example combines a 14-period RSI below 65, three consecutive bearish candles, and a circulating share count no greater than 5.5 billion. The document presents the rules as a way to identify stocks showing short-term weakness…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This Chinese stock-screening example ranks shares by capital strength and initially selects stocks with more than two limit-up sessions in the previous ten days and a gain below six percent at 9:25. The accompanying explanation treats stronger capital inflow…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note proposes a short-term Chinese equity screen with three conditions: amplitude above 1, the current high equal to the highest high over two days, and the opening price near the ten-day moving average. It gives formula and Python examples, including a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This forum post raises a factor-research reproducibility problem: a user reports that returns from reproducing four factors differ substantially from the platform’s published results. The suggested comparison holds the factor and backtest period constant,…

EquitiesFactor investingBacktestingStatistics
SuperMind

This note describes a Chinese equity screening rule that combines price movement, trading activity, opening behavior, and recent limit-up frequency. It selects stocks with amplitude above 1, current volume above 10,000 lots, a higher open, and more than two…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity screen looks for stocks with turnover between 3% and 12%, a negative product of the daily price change and net super-large-order quantity, and a pattern described as three consecutive declining sessions. It uses turnover and large-order…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This Chinese stock-selection idea filters for companies in the metaverse theme whose net major-investor buying during the opening auction is positive and whose KDJ indicator has just formed a bullish crossover. The three conditions combine thematic exposure,…

EquitiesTechnical indicatorsMarket microstructureSentiment
SuperMind

This Chinese equity screen selects main-board stocks with a 14-period RSI below 65, a daily gain greater than 1%, and an increase-in-position share above 5%. The note interprets the position increase as a possible sign of near-term capital inflow and pairs…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

This note describes a Chinese equity screen combining a positive MACD reading with a favorable company classification and a circulating market value between 5 billion and 10 billion yuan. It frames the approach as a blend of technical momentum and company or…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post outlines a technical screen for Chinese stocks in the metaverse theme. It requires the stock’s price to be above its five-day moving average and applies a rule intended to identify an arc-shaped price pattern. The document describes these…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes a daily, after-close screen for Chinese equities. It selects stocks whose MACD line is above zero, ranks candidates by individual-stock popularity, and restricts turnover to between 2% and 9%. It explains the indicators as rough proxies…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes a stock-selection screen focused on the metaverse concept. It requires the 30-day moving average to be rising and filters stocks using a measure combining the prior turnover rate with the ratio of today’s auction volume…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed stock screen looks for companies with daily high-low range above 1%, market capitalization below 10 billion, and no losses. The initial description refers to 2021 data; the refined version adds positive net income in each of the latest four…

EquitiesTechnical indicatorsRisk managementPosition sizing
SuperMind

This stock-selection approach filters for companies in the beverage and alcohol import-export industry, a 14-period RSI below 65, and return on equity above 15% for five consecutive years. It combines a price-based indicator with an industry classification…

EquitiesTechnical indicatorsFactor investing
SuperMind

This post outlines a stock selection rule that combines MACD above zero, a favorable company classification, and previous-day actual turnover between three and twenty-eight percent. It interprets the MACD condition as a positive technical signal and the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post proposes a Chinese equity screen combining recent price-limit events, trading activity, and an increase in position holdings. Its stated initial conditions are more than two limit-up days within ten days, prior-day turnover above sixty million, and…

EquitiesMomentumBreakoutTechnical indicators
SuperMind

This proposed screen targets stocks associated with the metaverse theme and combines an arc-shaped price pattern with a rising K value from the KDJ oscillator. The explanation treats a rising K value as a sign of improving bullish momentum. The formula and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-equity screening rule selects companies with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, total market value below 10 billion yuan, and positive reported profits. Turnover is used as a…

EquitiesChina marketsFactor investingStatistics
SuperMind

This note describes a stock screen combining daily amplitude above a stated threshold, a positive weekly MACD signal, and first-level buy volume greater than sell volume. It presents the buy-versus-sell volume condition as a way to gauge near-term trading…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

The document presents a Chinese A-share screening rule that selects stocks with a daily high-low range exceeding one percent, at least one limit-up session in the prior 25 trading days, and a high ranking on a large-order net-volume measure. The combined…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This overview explains mean reversion as a tendency for a time series to move back toward a typical level, contrasting it with a random walk and relating the idea to the Ornstein–Uhlenbeck process. It describes the Augmented Dickey-Fuller test as a unit-root…

Mean reversionStatisticsTechnical indicators