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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

4,510 documents

SuperMind

This document proposes a daily pre-open stock screen centered on MACD being above the zero line, then ranks qualifying names by a measure of individual-stock attention. It also includes a listing-age filter, described as favoring companies that have been…

EquitiesMomentumTechnical indicatorsSentiment
BigQuant

This article introduces Granger causality and transfer entropy as ways to study directional predictive relationships in time series. Granger causality tests whether a source series improves forecasts of a target beyond the target’s own history, commonly…

StatisticsEquitiesMachine learningSentiment
SuperMind

This note outlines a Chinese equity screen for companies associated with the metaverse theme. It looks for a limit-up session within the preceding 25 trading days and a current control ratio above 21 percent. The stated rationale is to combine a recent…

EquitiesBreakoutTechnical indicatorsSentiment
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with an external-to-internal trading volume ratio above 1.3 and positive net buying by major participants during the opening auction. The page also gives example implementations and adds filters in…

EquitiesChina marketsTechnical indicatorsSentiment
Lumibot

This report presents a short backtest of a strategy labeled “momentum-news-generic” against SPY, using Yahoo data. Over the stated period, the strategy had a slightly negative total return, negative annualized return, negative Sharpe and Sortino ratios, and…

EquitiesMomentumSentimentBacktesting
SuperMind

This Chinese equity screen selects stocks with daily price amplitude above a threshold, a positive but capped ten-day return, and an appearance on the previous day’s trading activity list. The post frames amplitude as a volatility measure, the return band as…

China marketsEquitiesMomentumVolatility
BigQuant

This weekly report describes two event-driven approaches to Chinese equities. The product-price strategy tracks listed companies’ main product prices and flags cases where a clear price increase has not yet been reflected in share prices. It is updated…

EquitiesChina marketsEvent-drivenSentiment
SuperMind

This Chinese equity screening idea combines a prior-day price-amplitude threshold, appearance on the previous day’s trading activity list, and at least one limit-up event within the preceding month. The document frames these filters as a way to find shares…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock screen combines three conditions: membership in the metaverse theme, a positive institutional-flow measure, and exclusion from the STAR Market. The accompanying explanation presents the theme as a way to target a popular sector and the flow…

EquitiesChina marketsSentimentFactor investing
SuperMind

This note proposes a Chinese stock screen combining a price-range condition, a rounded price pattern, and positive net buying by large participants during the opening auction. Its indicator expression approximates the rounded-pattern condition using the…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This Chinese stock selection proposal combines three filters: today’s increase in a stock’s position or holding share must exceed 5%, weekly MACD must be above zero, and the ten-day return must be positive but below 35%. The accompanying rationale treats the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document describes a daily pre-market A-share screening rule that selects stocks with MACD above zero, a share price below a stated ceiling, and positive institutional-flow readings. The approach combines a technical momentum condition with a price…

EquitiesChina marketsTechnical indicatorsSentiment
Amberdata research

The document explains how authorized participants create and redeem crypto ETF shares in response to demand, producing net flows that can be monitored as a proxy for institutional activity. It presents inflows as a possible sign of rising demand and outflows…

CryptoSentimentMarket microstructure
SuperMind

This article proposes screening Chinese stocks for RSI below 65, buy-side displayed volume greater than sell-side volume, and a positive product of the stock’s price change and net volume attributed to very large orders. The intended idea is to combine a…

China marketsEquitiesTechnical indicatorsMarket microstructure
SuperMind

This article outlines a stock screen using three signals: RSI below 65, displayed buy-side volume greater than sell-side volume, and a positive ten-day price change capped below 35%. It frames the combination as a way to consider recent price behavior and…

China marketsEquitiesTechnical indicatorsSentiment
Kraken Learn

Chiliz is described as a blockchain-based sports fan engagement platform. Its native CHZ token is used to acquire team-specific Fan Tokens, which participating clubs can configure to provide perks such as events, memorabilia, or voting on selected team…

CryptoOn-chain dataSentiment
BigQuant

This research note presents investor mood as a possible explanation for seasonal patterns in both market returns and the relative performance of stocks. It hypothesizes that assets that perform well in historically upbeat periods will tend to do so again in…

EquitiesSentimentFactor investingStatistics
BigQuant

The article contrasts quantitative trading, which it describes as using statistical models and systematic execution to exploit price deviations linked to investor emotion, with discretionary investing, where patience, independent judgment, and resilience may…

StatisticsSentimentRisk management
SuperMind

This stock-screening idea ranks candidates by capital-flow strength and afternoon net inflows from large orders, while also referring to performance during 2021. The post explains that stronger inflow is treated as evidence of greater buying support. Its…

EquitiesChina marketsSentiment
SuperMind

This post outlines a stock screen requiring membership in a metaverse category, a positive recent return, and a positive institutional-interest signal. It suggests using a category identifier, comparing the latest close with the previous close, and…

EquitiesChina marketsSentimentEvent-driven
SuperMind

This proposed A-share screen looks for stocks with RSI below 65, an external-to-internal trading volume ratio above 1.3, and no limit-up close on the previous day. The article frames the RSI threshold as a way to avoid heavily overbought stocks, treats the…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This document outlines a stock screen using three conditions: RSI below 65, displayed buy-side volume greater than sell-side volume, and company size above 200 million. It presents the combination as a short-term selection approach, interpreting RSI as a…

EquitiesTechnical indicatorsSentimentChina markets