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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
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 Chinese equity screen combines daily price amplitude above 1, a positive weekly MACD reading, and a market-cap rank between the 20th and 70th percentiles. The article also describes ranking candidates by volume relative to its 20-period average, then…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

This indicator presents the standard Relative Strength Index as a histogram after rounding its readings to configurable increments. The described settings range from no rounding to progressively coarser groupings, including a three-level display at zero, the…

Technical indicatorsEquitiesForex
SuperMind

This Chinese-language post describes an equity screening rule combining price amplitude above a threshold, a rounded or arc-like price pattern, and a signal that the stock was controlled by major traders on the previous day. It presents the combination as a…

EquitiesTechnical indicatorsRisk management
ProRealCode

This long-only daily strategy seeks short-term rebounds in equity index CFDs while limiting entries to prices above a 200-period moving average. It sums RSI readings over the most recent two periods and enters when this cumulative measure falls below 35,…

EquitiesMean reversionTechnical indicatorsRisk management
BigQuant

This brief request proposes a factor based on the correlation between a benchmark’s returns and an individual stock’s returns over a three-day window. It names the intended inputs and lookback, but provides no code, worked example, explanation of how to…

EquitiesStatisticsFactor investing
SuperMind

This stock-selection idea combines three filters: a daily trading range above one percent of the previous close, a stock code beginning with 60, and a positive afternoon large-order flow signal. The code example operationalizes the range and code filters,…

EquitiesChina marketsTechnical indicatorsMarket microstructure
BigQuant

This April 2020 market note reviews a sharp decline in Chinese equities amid weakening fundamentals and falling investor sentiment. It reports that large- and small-cap indexes had similar declines, while consumer and utility sectors held up better and…

EquitiesChina marketsPortfolio constructionRisk management
SuperMind

This note describes a Chinese equity screen for stocks associated with the metaverse concept. It requires turnover between 3% and 12% and at least one limit-up event during the prior 25 days. The accompanying examples translate these conditions into…

EquitiesChina marketsMomentumBreakout
SuperMind

This note outlines a screen for Chinese equities associated with the robotics concept. It combines turnover between 3% and 12%, floating market capitalization below 10 billion yuan, and a ratio of 2021 revenue to 2018 revenue above 1.1. The post includes…

EquitiesChina marketsFactor investingRisk management
SuperMind

This note describes a Chinese A-share filter combining a turnover rate between 3% and 12%, a Dragon-Tiger list appearance the previous day, and a floating market capitalization between 5 billion and 10 billion yuan. It presents this as a way to find actively…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This stock-selection approach combines a positive MACD reading with a company-type condition and circulating market capitalization above 10 billion yuan. The document presents the screen as a way to find stocks with upward price trends, sound fundamentals,…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post outlines a Chinese A-share stock screen combining an RSI below 65, seven consecutive down days, and a weekly five-period moving average crossing above the ten-period average. It presents the conditions as a way to identify stocks with a potentially…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This brief note describes a feature-selection exercise based on a random forest template. The author says they ranked 37 stock factors by random forest importance and retained the nine factors with the highest importance scores. The document does not…

EquitiesFactor investingMachine learningStatistics
BigQuant

This Chinese-language research summary discusses forecasting stock-selection factor returns after commonly used factors became more volatile. It focuses on screening timing variables with Lasso and Elastic Net regression, then extending factor timing with…

EquitiesFactor investingMachine learningBacktesting
BigQuant

The post raises a backtesting concern: a user observes that a stock delisted on one date still appears sellable on a later scheduled rebalance date. A reply explains the platform behavior as a special backtest-engine rule: when a strategy does not handle a…

BacktestingEquitiesRisk management
BigQuant

The document explains how to find the highest and lowest closing prices over roughly two years using rolling time-series maximum and minimum functions. It treats two years as about 400 trading days and applies those functions to the closing-price series,…

EquitiesTechnical indicatorsStatistics
SuperMind

The screen combines three conditions: a stock belongs to the metaverse concept group, its 30-day moving average is rising, and it has closed lower for three consecutive sessions. The article frames this as a way to find stocks in a selected theme that have…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This research summary proposes measuring capital flows between large-cap and small-cap styles to identify when style investors are shifting allocations. It treats flow intensity as a signal of changing conviction and risk: when intensity is high, investors…

EquitiesFactor investingStatisticsRisk management
SuperMind

This post outlines a Chinese equity screening rule that ranks stocks by relative volume and selects the top 100, then filters for a positive but bounded return over ten days and a 20-day moving average above the 120-day average. The combination is intended…

EquitiesMomentumTechnical indicators
BigQuant

This short weekly report summarizes a divided Chinese equity market, with major indices moving in different directions. It compares the reported changes in the Shanghai Composite, CSI 500, ChiNext, and CSI 300, then notes that most of the covered long…

EquitiesChina marketsMomentumPortfolio construction
SuperMind

The document describes a Chinese equity screen combining three conditions: daily price range above a threshold, circulating market capitalization above a threshold, and a positive daily MACD. It presents these as filters for volatility, company size, and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening proposal combines daily price range, market capitalization, profitability, moving averages, and valuation. It seeks stocks with at least a one percent high-to-low range, positive net profit, market capitalization up to 10…

China marketsEquitiesTechnical indicatorsMomentum