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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

22,592 documents

SuperMind

This BigQuant example builds a daily Chinese equity strategy using a filtered stock universe and recent volume ratios. It screens stocks in the CSI 1000 universe across several board segments, excludes suspended and special-treatment stocks, and applies…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This stock-selection proposal combines RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and positive large-order net inflow during the afternoon. Its final version adds a price-to-earnings ceiling of 40. The accompanying…

EquitiesTechnical indicatorsMomentum
SuperMind

This note describes a proposed equity screen for metaverse-related stocks that show a rounded price pattern and at least five overlapping moving averages. It frames the combination as a way to identify possible trend candidates, then revises the screen to…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes an equity screening rule built around three conditions: price range above a threshold, turnover between specified bounds, and a weekly close crossing above its 30-week moving average. The stated rationale is to combine…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This Chinese-equity screening proposal combines daily price range, profitability, and the previous session’s price-limit status. Its initial rule selects stocks with an intraday high-low range above one, return on equity above 15% for each of five years, and…

EquitiesChina marketsFactor investingRisk management
SuperMind

This Chinese-market screening rule combines a daily trading-activity filter with price performance and a large-order flow measure. It selects main-board stocks whose turnover is between 3% and 12%, whose daily gain exceeds 1% relative to the same sector, and…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This Chinese-language post describes a mainland China main-board stock screen combining an RSI reading below 65, a daily gain above 1%, and a rising-bottom condition. The stated rationale is to seek shares with recent upward momentum while the RSI remains…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document outlines a Chinese A-share stock screen that selects companies with an amplitude above 1 and a 2019 dividend ratio above 25%, while excluding Beijing-listed stocks. It presents the criteria as a way to combine a price-movement condition with a…

EquitiesChina marketsFactor investing
SuperMind

This Chinese equity screening proposal combines membership in the metaverse industry, a newly formed KDJ bullish crossover, and a dividend-related threshold above 25% based on 2019 data. It also specifies selecting before 10 a.m. for same-day trading. The…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This Chinese equity screening idea combines daily price amplitude above 1%, RSI below 65, exclusion of ST-designated stocks, and a “five-part limit-up” condition. The accompanying indicator references describe counting at least five limit-up events and at…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document presents a daily equity screen for China’s main board. It selects stocks using three conditions: price range during the session above a stated threshold, an afternoon large-order net inflow condition, and a daily gain above a stated threshold.…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-language article describes an A-share stock screen combining turnover, a rising DEA measure, and a run of declining closes. It selects stocks with turnover between 3% and 12%, an increasing DEA, and lower closing prices on each of the most…

China marketsEquitiesTechnical indicatorsMomentum
ProRealCode

This strategy accumulates long positions in the NASDAQ Composite when price crosses above prior highs measured over several lookback windows. Entries use five horizons, from short to longer, and require a rising weighted-average price filter. Each signal…

EquitiesUS marketsBreakoutMomentum
SuperMind

The post proposes screening stocks using price movement and trading activity around the opening auction. Its stated rule selects shares with amplitude above a threshold, yesterday's turnover rate multiplied by today's auction volume relative to yesterday's…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This document outlines a technical stock screen combining a daily price-range threshold, a morning-star candlestick condition, and a current low below the prior day’s low. Its formula reference expresses these conditions as a single filter. The accompanying…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This document summarizes an investment research paper on incorporating environmental, social, and governance risks into emerging-market analysis. Its central argument is that these markets can be more exposed to issues such as extreme weather, resource…

EquitiesRisk managementPortfolio construction
SuperMind

This document describes a daily screen for stocks in the metaverse industry. It looks for a newly formed KDJ bullish crossover and requires a minimum period since listing; the proposed routine selects candidates before 10 a.m. The screen also includes…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document presents a stock selection screen requiring turnover between 3% and 12%, membership in a beverage and alcohol import-export category, and a positive return measure. It describes sorting qualifying stocks by return and includes example formulas…

EquitiesChina marketsMomentumTechnical indicators
Amberdata research

This note describes a two-stage ranking factor for equities. For each stock, it ranks the recent ten-day low-price observations through time, then ranks those values across stocks on the same date. The intended interpretation is that a larger final factor…

EquitiesFactor investingStatisticsBacktesting
BigQuant

This research summary describes combining order-book data, which may reflect traders’ unexecuted intentions, with transaction-level data showing completed trades. The authors use both intuitive signal construction and machine learning to turn different types…

EquitiesHigh-frequency tradingMachine learningFactor investing
SuperMind

The document describes a pre-market screen for Chinese main-board stocks. Candidates must have MACD above zero, a share price below 12 yuan, and a daily gain greater than 1%. Its rationale is to combine a positive MACD reading with a low nominal price and…

China marketsEquitiesTechnical indicatorsMomentum
Lumibot

This page catalogs trading bot examples built around AI agents, ranging from copying reported investor or insider holdings to sentiment signals, agent debates, options strategies, intraday rules, and macro or sector portfolio discussions. It outlines…

Machine learningBacktestingOptionsEquities