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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
WonderTrader
14 documents
Alphalens
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 stock selection rule combines membership in the metaverse theme with a morning price-change cutoff and a historical dividend ratio. The stated rationale is that limiting the early-session rise may help identify rebound candidates, while a dividend ratio…

EquitiesChina marketsTechnical indicatorsFactor investing
MQL5 code base

This indicator uses an RSI-adaptive exponential moving average ribbon to help assess market conditions. Its author says the underlying adaptive EMA can also be translated into a MACD calculation, while displaying the ribbon components directly may make…

Technical indicatorsTrend followingEquities
SuperMind

This proposed A-share stock screen combines turnover between 3% and 12%, a newly formed KDJ bullish crossover, and return on equity above 15% in each of the past five years. The article presents turnover as a measure of trading activity, KDJ as a technical…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This proposed daily A-share screen combines a positive MACD reading, a share price below 12 yuan, and a latest close above the previous session’s low. The article says selections are made before the market opens and frames the price and MACD conditions as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language article describes an equity screen based on price amplitude, prior-day trading activity, and opening-auction turnover. The stated final rule selects stocks whose amplitude exceeds one, whose prior-day turnover exceeds 60 million, and…

EquitiesVolatilityTechnical indicatorsStatistics
SuperMind

This Chinese-language description outlines an equity screening rule that combines a daily amplitude threshold, a high equal to the highest high across two days, and positive afternoon large-order net inflow. Its rationale is to pair price movement and a…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This stock-selection screen combines three conditions: daily high-to-low range above 1% of the opening price, prior-day trading activity above the stated threshold, and a positive weekly MACD condition. The document presents the rules as a way to focus on…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This weekly report compares artificial intelligence stock-selection portfolios across broad A-share universes, industry-neutral portfolios, and portfolios restricted to the CSI 300 or CSI 500. It names XGBoost, support vector machines, random forests,…

China marketsEquitiesMachine learningBacktesting
SuperMind

The document outlines a daily, after-close stock-selection screen that requires the MACD line to be above zero, limits the universe to companies with floating market capitalization above 10 billion yuan, and ranks candidates by a measure of individual-stock…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

The document describes an A-share stock screen intended to find possible short-term rebounds. It combines a 14-period RSI below 65, first-level bid volume greater than ask volume, and a stated daily maximum decline between 4% and 5%. The accompanying…

EquitiesMean reversionTechnical indicatorsSentiment
BigQuant

The document presents a Chinese A-share backtest question: after selling a holding at the open, a daily-frequency strategy places a purchase near the close but buys only a small amount. The author wonders whether the simulator updates available cash only on…

EquitiesBacktestingExecutionPosition sizing
SuperMind

This document presents a Chinese stock screening rule combining daily amplitude above 1, a newly formed KDJ crossover, and circulating market capitalization of at least 200 million. It describes the crossover as a possible sign of improving sentiment and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a short-term Chinese stock screen that looks for shares with an amplitude above 1, evidence of main-force control on the prior day, and a current-day low between 4% and 5% below the previous close. The stated rationale is to focus on…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The document describes a short-term Chinese equity screen combining turnover, recent price performance, and limit-up frequency. It selects stocks with turnover between 3% and 12%, a positive 10-day gain below 35%, and more than two limit-up sessions during…

EquitiesChina marketsMomentumBreakout
SuperMind

The article proposes a short-term stock screen requiring price amplitude above a threshold, at least two limit-up events within a 500-day lookback, and a prior-session 9:15 indicative match price at the limit-down level. It interprets the last condition as a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This article describes an equity screen combining price amplitude above a stated threshold, an upward relationship among recent moving averages, and a 2019 dividend payout ratio above a stated threshold. It frames the conditions as a way to find volatile…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Chinese-language strategy note describes a stock screen combining a turnover range of 3% to 12%, first-level bid volume greater than first-level ask volume, and three consecutive sessions of declining closing prices. The intended idea is to find liquid…

EquitiesMean reversionTechnical indicatorsMarket microstructure
SuperMind

This document proposes screening Chinese stocks by price range, a K-line condition described as being below 20, and descending money strength. It characterizes money strength as a way to infer buying and selling pressure from price direction and trading…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document describes a Chinese stock watchlist screen combining daily price range, a recent limit-up event, and a signal labeled as prior-day main-force control. Its rationale is that larger price swings and recent limit-ups may indicate attention and…

China marketsEquitiesMomentumVolatility
SuperMind

This research summary examines whether company managers adjust reported earnings to meet individual analyst forecasts, beyond the incentive to meet consensus estimates. It describes a study using the change in effective tax rate from the third to fourth…

EquitiesStatisticsEvent-drivenChina markets
SuperMind

This post describes a stock selection rule combining three conditions: daily price amplitude above 1, actual turnover on the previous day between 3% and 28%, and weekly MACD above zero. It presents the combination as a way to screen for stocks with…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This stock screen selects names whose daily high-low range exceeds one percent of the low, that recorded at least one limit-up day in the preceding 25 sessions, and that have a nonempty outstanding convertible-bond name field. The resulting names enter a…

EquitiesChina marketsVolatilityEvent-driven
SuperMind

This note proposes screening Chinese stocks listed in 2021 for daily turnover between 3% and 12%, then keeping those whose opening price is within five percent of the 10-day moving average. The approach combines a trading-activity range, an IPO-year cohort,…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

This note outlines a Chinese equity screen using three conditions: positive but moderate returns over the prior ten days, appearance on the previous day’s exchange trading-activity list, and descending ranking by a measure called fund strength. The intended…

EquitiesMomentumMarket microstructureChina markets