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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 document outlines a Chinese equity screen for stocks classified in the metaverse theme. Its stated conditions include a positive return, a threshold on the product of price change and very large order net volume relative to a volume benchmark, and a…

EquitiesMomentumTechnical indicatorsMarket microstructure
SuperMind

This document describes a Chinese equity screen that combines a prior-session price range above 1%, a circulating share count no greater than 5.5 billion, and best-level buy volume greater than sell volume. It presents the conjunction of these filters as a…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This document describes a Chinese stock screen combining intraday amplitude above 1, a named morning-star candlestick condition, and a 9:25 price gain below 6%. It presents the combination as a way to find active stocks with potential upside while limiting…

EquitiesTechnical indicatorsChina marketsMomentum
SuperMind

The document describes a stock screen that combines three criteria: turnover between 3% and 12%, membership in a beverage and liquor import/export category, and a circulating share count no greater than 5.5 billion. It presents the screen as a way to narrow…

EquitiesChina marketsTechnical indicators
SuperMind

This note proposes screening Chinese stocks using several short-term conditions: daily amplitude above 1, a three-session limit-up sequence on the previous day, exclusion of ST-designated stocks, and selection before 10 a.m. It also invokes a five-session…

EquitiesChina marketsMomentumBreakout
SuperMind

This note describes a Chinese equity screen that ranks stocks by turnover ratio and keeps the top 100, then applies an opening-price condition: the stock was at its price limit at 9:15 and its gain by 9:25 is below 6%. It presents the conditions as a way to…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

Backtesting feeds a strategy’s rules with historical market data, turns the resulting signals into trades, and aggregates their profit and loss. The document presents four uses: screening candidate strategies, modeling market and execution conditions, tuning…

BacktestingStatisticsRisk managementExecution
SuperMind

This document outlines a Chinese equity screen that ranks by a capital-strength measure, such as turnover or volume ratio, and selects stocks with more than two limit-up sessions in ten days and a 20-day moving average above the 120-day average. The…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This document describes a Chinese equity screen that looks for stocks with turnover between 3% and 12%, a reversal pattern, and at least one limit-up event during the prior month. Its stated rationale is to identify recently popular stocks while using…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This Chinese equity screening proposal combines moving-average clustering with recent and historical limit-up activity. Its initial description looks for overlap among the 5-, 10-, 20-, 60-, and 120-day averages, more than two limit-up days in the last ten…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document outlines a Chinese stock-screening rule that combines a daily price-range threshold, a fresh two-day high, and at least two limit-up events over a 500-day lookback. It also includes a positive earnings-per-share condition. The proposed logic…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screening strategy focused on companies classified in the metaverse sector. It selects stocks with actual turnover between 3% and 28% on the prior day and more than two limit-up days within a ten-day window. The…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note outlines a short-term Chinese-equity screening idea that combines a daily price-range threshold, relative volume bounded by lower and upper limits, and a Morning Star candlestick pattern. The stated interpretation is that a wider range may identify…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This note describes a Chinese-equity screen limited to the metaverse industry. It looks for stocks opening around the ten-day moving average and with prior-day actual turnover within a stated band. The intended rationale is to combine a price-position…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This beginner guide explains convertible bonds as debt with interest and a right to convert into shares at a specified conversion price. It distinguishes the bond’s market price, the underlying share price, and the conversion price, then illustrates how…

Fixed incomeEquitiesDerivatives pricingRisk management
SuperMind

This post describes a stock screen combining an RSI below 65, the product of percentage price change and net flow from very large orders, and a listing history longer than three years. It presents these filters as a way to combine a technical condition,…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This post describes a Chinese stock-selection screen for robot-related companies. Its initial criteria are strong fund flow intensity, circulating market capitalization below 10 billion yuan, and a rising 30-day moving average. The final proposed screen adds…

EquitiesMomentumTechnical indicatorsFactor investing
SuperMind

This post outlines a Chinese equity screen combining daily price amplitude above 1%, total market capitalization no greater than 10 billion yuan, positive net profit over the latest four quarters, and circulating market capitalization above 10 billion yuan.…

EquitiesTechnical indicatorsRisk management
SuperMind

This Chinese-language post describes a short-term stock screen that selects shares with turnover between 3% and 12%, a listing on the previous day’s trading榜, and an intraday amplitude above 1. It presents these as proxies for trading activity and price…

EquitiesTechnical indicatorsMomentum
SuperMind

This post describes a short-horizon Chinese stock screen that ranks stocks by capital-flow strength, selects those with afternoon net inflows from large orders, and requires more than two limit-up days in the previous ten days. It suggests using turnover and…

China marketsEquitiesMomentumBreakout
SuperMind

This stock screen combines three conditions: a rising 30-day moving average, a 60-day moving average below 60, and convergence among the 20-, 50-, 100-, 200-, and 60-day averages. The post frames the five averages as short-, medium-, and long-term trend…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This A-share screening rule filters for turnover between 3% and 12%, excludes Beijing-listed shares, and requires 2021 revenue to exceed 2018 revenue by a factor greater than 1.1. The stated aim is to find companies with revenue growth while retaining a…

EquitiesChina marketsFactor investingRisk management
SuperMind

This A-share screening idea combines intraday market activity with a weekly trend condition. It selects stocks with amplitude above 1, current volume above 10,000 lots, a higher opening price, and a weekly five-period moving average crossing above the…

EquitiesChina marketsTechnical indicatorsMomentum