Skip to content

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

4,510 documents

Amberdata research

The report reviews a week of crypto market weakness and looks for signs that forced selling may be easing. It combines spot prices, trading volume, realized volatility, open interest, funding, ETF and stablecoin flows, order book depth, and DeFi lending…

CryptoVolatilityMarket microstructurePerpetual futures
SuperMind

This stock screening rule combines three conditions: a 14 period RSI below 65, buy side volume greater than sell side volume, and a closing price above a prior low. The accompanying explanation treats RSI as a measure of price condition, the volume…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

This proposed stock screen selects shares associated with the metaverse theme, positive net buying by major participants during the opening auction, and a daily position-addition measure above a stated threshold. The rationale combines a popular market theme…

EquitiesChina marketsSentimentTechnical indicators
Amberdata research

This overview describes using crypto options flow data to assess activity and possible market sentiment. It covers contract volume and open interest as measures of activity and liquidity, strike prices relative to spot, expiration horizons, put-call ratios,…

CryptoOptionsDerivatives pricingVolatility
Amberdata research

This midweek market recap describes changes in Bitcoin and Ethereum derivatives following a US debt ceiling agreement. It tracks realized volatility, the shape of implied volatility across expiries, option skew, trading flows, and dealer gamma positioning.…

CryptoOptionsVolatilitySentiment
FMZ forum

This article explains how alternative internet and transaction data can supplement traditional equity factors. A typical fund process first defines a stock universe, filters it using industry and financial measures, scores candidates with financial and…

EquitiesFactor investingMachine learningSentiment
BigQuant

This article recounts episodes in China’s A-share market where stock prices were said to react to unrelated public events, celebrity news, wordplay, ticker numbers, entertainment, or product associations. Examples include stocks linked by similar names to…

EquitiesChina marketsSentimentEvent-driven
SuperMind

The document describes a simple A-share screening idea: select companies associated with the metaverse concept, with circulating market value at or below the stated threshold, that appeared on the prior day’s 龙虎榜, a published list of notable trading…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

This document presents a Chinese equity screen requiring turnover between 3% and 12%, an opening price within 5% of the 10-day average closing price, and large-order net flow above 0.05 for three consecutive sessions. It interprets persistent positive net…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

The post proposes a Chinese equity screening rule that combines daily amplitude above 1, a 9:25 gain below 6%, and a positive institutional-activity measure. It frames the conditions as a blend of short-term volatility, price movement, and institutional…

EquitiesMomentumTechnical indicatorsSentiment
SuperMind

This stock screen combines an RSI threshold below 65 with recent candle conditions and positive large-order net volume. The stated idea is to find stocks with relatively subdued momentum while observing sustained buying pressure from large orders. The…

EquitiesTechnical indicatorsSentiment
SuperMind

The document describes a Chinese equity screening rule that combines three conditions: RSI below 65, bid-side volume greater than ask-side volume, and a bullish Morning Star candlestick pattern. It frames RSI as a measure of price conditions, the volume…

EquitiesTechnical indicatorsMean reversionSentiment
Amberdata research

This analysis uses on-chain valuation, miner, and network activity measures to assess Bitcoin’s 2025 market regime and frame questions for 2026. It explains MVRV, its standardized Z-Score, NUPL, and realized price as measures of holder cost basis and…

CryptoOn-chain dataSentimentStatistics
SuperMind

This proposed stock screen combines three signals: today’s increase in holdings must exceed 5%, institutional direction must be positive, and the 9:25 price gain must be below 6%. The accompanying explanation interprets the first two as signs of buying…

EquitiesChina marketsSentimentExecution
SuperMind

This stock-screening proposal combines three conditions: membership in the metaverse theme, positive net buying attributed to major participants during the auction, and a price amplitude above one. Its rationale is to find stocks linked to a market theme…

EquitiesChina marketsSentimentTechnical indicators
Amberdata research

This newsletter considers whether crypto markets may have bottomed by combining macroeconomic developments with derivatives positioning and digital asset treasury (DAT) holdings. It argues that lower inflation and downward revisions to job creation could…

CryptoOptionsFuturesVolatility
SuperMind

This Chinese equity screen focuses on metaverse-related stocks with prior-day actual turnover between 3% and 28%, then ranks qualifying names by institutional ownership and selects the top five. The article treats turnover as an indication of trading…

EquitiesChina marketsSentimentPosition sizing
SuperMind

This note describes a Chinese equity screen that looks for stocks with a price range above one, at least one daily gain of 10% or more within the previous 25 trading days, and high individual-stock popularity. It frames these conditions as a combination of…

EquitiesChina marketsVolatilityMomentum
SuperMind

This Chinese stock-selection rule screens for stocks with turnover between 3% and 12%, greater volume at the best bid than at the best ask, and an opening-auction price change between -2% and 5%. The article frames these filters as a way to combine trading…

EquitiesChina marketsMarket microstructureSentiment
BigQuant

The article describes two ways large holders might try to recover from a losing stock position when selling could worsen market impact. With a relatively small holding, it claims an institution may sell into a gradual decline to accelerate a sharp drop, then…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

The article describes a Chinese equity screen combining a reported daily increase in investor holdings above 5%, free-float market capitalization between 5 billion and 10 billion yuan, total market capitalization below 10 billion yuan, and a requirement that…

EquitiesChina marketsFactor investingSentiment