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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

4,510 documents

Quant Q&A

The document addresses what a positive CFTC total net contracts figure means for Brazilian real futures. Its key point is that each futures contract has both a buyer and a seller, so the market as a whole cannot be net long or net short by simply counting…

FuturesForexSentimentMarket microstructure
Quant Q&A

The document explains why implied volatility inferred from equity option prices can vary by strike, even when volatility is treated as a property of the underlying. It describes the pattern commonly called volatility skew: lower-strike options often carry…

OptionsVolatilityDerivatives pricingEquities
Quant Q&A

The document explains how investors can find reported short interest and why a figure such as the reported GameStop short interest may appear in market news. It points to Bloomberg’s short-interest function as one source for a company’s reported number of…

EquitiesUS marketsOptionsSentiment
Quant Q&A

The discussion addresses gradual entry into and exit from trend positions. One response points to research on heterogeneous investor expectations, positive feedback trading, and historical bubble behavior, including a case study of a broker riding the South…

Trend followingMomentumPosition sizingSentiment
Quant Q&A

The document suggests finance applications for natural language processing projects, emphasizing tasks beyond generic news or social-media sentiment analysis. Proposed research directions include extracting risk-factor exposures from company reports,…

Machine learningSentimentFactor investingFixed income
Quant Q&A

The document clarifies that a reported short-interest figure for VIX futures can refer to the short positions held by a particular trader category, rather than to all outstanding futures contracts. The cited Bloomberg series represents CFTC Commitments of…

FuturesVolatilitySentiment
Quant Q&A

The discussion considers why call open interest may exceed put open interest in US stock options and what unusually lopsided ratios can reveal. One explanation is that investors may find bullish positions more intuitive than bearish ones. However, the ratio…

OptionsEquitiesMarket microstructureSentiment
Quant Q&A

The document explains how to normalize equity analyst recommendations that use different labels, such as buy, outperform, or overweight. It notes that despite differences in wording, these systems generally correspond to five recommendation levels, making a…

EquitiesStatisticsSentiment
Quant Q&A

The note considers how to obtain historical counts of new investor accounts for sentiment research. The researcher seeks figures for several major stock market indices after finding that commercial financial databases did not provide the desired series. The…

SentimentEquitiesUS marketsStatistics
Quant Q&A

The document defines option order imbalance (OOI) as a stock-level measure of signed option trading, adjusted for option delta and scaled by shares outstanding. Each trade contributes according to its estimated initiating side, its sensitivity to the…

OptionsMarket microstructureSentiment
Quant Q&A

The document discusses how reported probabilities of Yuan depreciation might be inferred from currency options. One proposed route is to use an option model’s delta at a relevant strike as an approximation, or to price a digital put using the full volatility…

ForexOptionsDerivatives pricingChina markets
Quant Q&A

The document surveys possible proxies for equity market sentiment and sources for comparing industry or sector performance. Suggested measures include the VIX, Commitments of Traders positioning, the NYSE advance–decline series, and the AAII bull–bear…

SentimentEquitiesStatisticsUS markets
Quant Q&A

The document asks how option-implied skewness and kurtosis compare with their historical realized counterparts, and whether skewness or kurtosis risk premia show patterns similar to the volatility risk premium. The response summarizes research documenting…

OptionsVolatilitySentimentStatistics
Quant Q&A

The document responds to a thesis-topic question about connecting investor risk aversion, low volatility, and financial crash prediction. It points to Hyman Minsky’s Financial Instability Hypothesis as a conceptual framework. The central mechanism is that…

Risk managementSentimentStatistics
Quant Q&A

The document asks whether bank client transaction flows in a currency can serve as an estimate of market positioning. Its specific problem is that a rolling one-month sum can shift sharply when a large older observation leaves the window, even if current…

ForexTechnical indicatorsStatisticsSentiment
Quant Q&A

The discussion considers how to tell when an investment strategy has become popular or overcrowded. One proposed market-based signal is a shrinking premium: for a short-volatility trade, compare implied volatility with realized volatility and account for…

Multi-assetVolatilityRisk managementSentiment
Bitget Academy

The article presents Oracle’s fiscal Q3 2026 results as evidence of a shift from a legacy database business toward cloud infrastructure and AI workloads. It highlights adjusted earnings per share, rapid infrastructure revenue growth, a large increase in…

EquitiesUS marketsEvent-drivenSentiment
Bitget Academy

This dated weekly newsletter combines market observations with news about crypto adoption. It reports a weekly rise in BGB alongside higher trading volume, and discusses accumulation, relative volume, volatility, and RSI as indicators of token activity. For…

CryptoMomentumTechnical indicatorsSentiment
Bitget Academy

The article links PACS Group’s share-price rebound to third-quarter results, an internal audit, and the resolution of filing concerns. It reports 31% year-over-year revenue growth, revenue above analyst consensus, and a higher full-year revenue outlook. It…

EquitiesUS marketsEvent-drivenSentiment
Bitget Academy

The document describes COAI as the utility token of ChainOpera AI, a BNB Chain platform connecting users and providers of AI agent services. It presents the token’s recent rally as a combination of reported ecosystem activity and broader enthusiasm for BNB…

CryptoMomentumTechnical indicatorsSentiment
Bitget Academy

The article considers how a scheduled release of 190 million PI tokens in December 2025 might affect price, weighing potential selling pressure against ecosystem demand. It outlines bearish, neutral, and bullish cases: the bearish case focuses on holders…

CryptoEvent-drivenSentimentTechnical indicators
Bitget Academy

The document examines Circle’s post-earnings share decline through its financial results, revenue mix, analyst views, macroeconomic conditions, and investor activity. It describes a business whose reserve income depends heavily on yields earned on USDC…

CryptoEquitiesUS marketsSentiment
OKX Learn

The document portrays PUMP as a highly volatile Solana meme token whose moves may reflect broader crypto conditions, liquidity, social media attention, and community sentiment. It names several tools traders might use to examine price action: RSI for…

CryptoTechnical indicatorsVolatilitySentiment
OKX Learn

This market commentary links crypto weakness to subdued activity, reduced liquidity, and political uncertainty, while also discussing equity reactions to anticipated rate cuts. It cites a 70-year sample of 17 rate-cut cycles in which the S&P 500 averaged a…

CryptoEquitiesOptionsVolatility