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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
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 describes a Chinese equity screening rule combining trading activity, order-book depth, and price position within Bollinger Bands. It selects listed stocks with turnover between 3% and 12%, greater buy-one than sell-one volume, and a close…

EquitiesTechnical indicatorsMarket microstructureMomentum
SuperMind

This Chinese equity screening idea selects stocks whose daily high-to-low range is at least 1%, requires a nonempty name for an outstanding convertible bond, and ranks candidates by the day’s auction amount to retain the top five. The stated rationale is to…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

This document describes an A-share stock screen combining RSI below 65, MACD above zero, and a factor multiplying the price change by a measure derived from turnover and very large orders. It frames RSI as a filter on short-term weakness, positive MACD as an…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This document outlines a daily, pre-open A-share screen requiring MACD above zero, a share price below 12, and prior-session actual turnover between 3% and 28%. It presents the positive MACD reading as a trend filter and turnover as a measure of trading…

EquitiesTechnical indicatorsChina marketsExecution
SuperMind

This document presents a short-term A-share screen with three conditions: amplitude above 1, the current low below the previous session’s low, and a ten-day return greater than zero but below 35. The text interprets the range and lower low as signs of…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes an A-share screen combining RSI below 65, seven consecutive sessions in which the close is below the open, and prior-day auction turnover above 0.26. The rationale is that RSI may avoid overbought stocks, a run of down days indicates…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

The proposed Chinese equity screen combines a technical filter with a fundamental growth condition. It selects stocks with an RSI below 65 and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at or below 100%,…

EquitiesTechnical indicatorsRisk management
SuperMind

The article proposes screening Chinese A-share stocks using three conditions: a dividend payout ratio above 25% in 2019, RSI below 65, and MACD above its zero line. It describes the dividend measure as a fundamental filter and RSI and MACD as technical…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Chinese equity screening example combines three technical conditions: amplitude above 1%, an upward-moving short average or price crossing above a three-day average, and a rising or supported recent low. The document gives formula and Python-style…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screening rule that selects Shenzhen main-board stocks with daily amplitude above 1%, a year filter for 2021, price-to-earnings ratios from 0 to 29.01, and price-to-book ratios from 0 to 3.11. It provides both an…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This Chinese-language post proposes a stock selection rule based on price amplitude, prior-day turnover, and the ratio of current auction volume to the previous day’s volume. It selects shares whose amplitude exceeds one and whose prior turnover multiplied…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes a stock screen combining daily price amplitude greater than 1, a three-day limit-up streak as of the previous day, and a positive price-to-earnings ratio. It frames the amplitude condition as a way to find active shares,…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This article describes a short-term Chinese stock screen based on daily price range, a high ranking for net large-order volume, and MACD above its zero line. It presents the combination as a way to find active stocks with positive momentum, and includes an…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This article outlines a Chinese equities screen combining three signals: confluence among the 5-, 10-, 20-, 60-, and 120-day moving averages, appearance on the prior day’s market leaderboard, and a 20-day moving average above the 120-day average. The…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection rule requires the 20-day moving average to be above the 120-day average, RSI to be below 65, and current volume to exceed the prior day's volume by more than five percent. The article interprets the moving-average relationship as an…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes a Chinese equity screen combining three conditions: price amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and large-order net volume above 0.05 for at least three consecutive days. It…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes an equity screening rule that selects stocks with turnover between 3% and 12%, an external-to-internal trading volume ratio above 1.3, and more than two limit-up days within a 10-day window. It frames these conditions as indicators of…

EquitiesMomentumTechnical indicatorsBacktesting
SuperMind

This document presents a short-term Chinese stock selection idea using three conditions: amplitude above 1, a closing price below 20, and a prior-day 9:15 matching price at the limit-down level. It frames the filters as a way to find stocks with price…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This document describes a Chinese main-board stock screen that combines RSI below 65 with a daily gain above 1% and a rising-trend condition. The examples express the trend condition through moving-average alignment: the 5-day average exceeds the 20-day, the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This overview classifies quantitative funds by strategy, market, instrument, and time horizon. It describes trend following, which seeks sustained price moves and can have a low win rate while relying on occasional large trends, and countertrend trading,…

Multi-assetTrend followingMean reversionArbitrage
SuperMind

This Chinese equity screen selects beverage and alcohol related stocks with turnover between 3% and 12%, then applies a comparison involving yesterday’s turnover, today’s auction volume, and yesterday’s trading volume. The stated rule keeps cases where the…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This Chinese equity screening rule combines a turnover range of 3% to 12% with two short-term market conditions: the stock appeared on the previous day’s 龙虎榜, a public ranking of notable trading activity, and its 9:15 opening-auction matched price was at the…

EquitiesChina marketsEvent-drivenBacktesting
SuperMind

The document describes a stock screen that selects shares with an amplitude above one and a daily maximum decline between four and five percent, restricted to observations from 2021. It presents the screen as a way to identify volatile stocks after a marked…

EquitiesChina marketsVolatilityTechnical indicators