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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
Quantpedia
86 documents
TqSdk
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

arXiv papers

This study uses individual brokerage account data to examine whether people entering cryptocurrency markets seek diversification or display a broader appetite for risk. It compares investors’ stock-trading behavior around their first cryptocurrency trade,…

CryptoEquitiesSentimentRisk management
arXiv papers

The paper presents a theoretical model that links trading conditioning intensity with security price volatility and returns. It uses distributions of transaction volume and price to represent uncertainty and intensity, framing the relationships in terms of…

EquitiesChina marketsHigh-frequency tradingStatistics
Quantpedia

This document describes a monthly equity strategy based on how similar the positive language in companies’ latest 10-K or 10-Q filings is to prior language. It uses a vendor’s cosine-similarity measure, ranks covered stocks into deciles, buys the…

EquitiesSentimentFactor investingUS markets
Quantpedia

The document describes a short-selling strategy in publicly traded soccer clubs. It proposes selling a club’s stock at the close of the business day before an important match, holding the position for one day, and equally weighting positions when multiple…

EquitiesArbitrageSentimentEvent-driven
Quantpedia

The document describes an overnight SPY approach conditioned on three sentiment and trend signals: SPY above its 20-day moving average, VIX below its moving average, and the Brain Market Sentiment indicator above its 20-day average. When all conditions hold,…

EquitiesSentimentVolatilityUS markets
Quantpedia

The document describes a market-timing signal based on changes in aggregate synthetic borrow intensity, estimated from options prices for a broad set of stocks and ETFs. Borrow intensity is defined as the risk-free rate less the lending fee, so its movement…

EquitiesOptionsSentimentMarket microstructure
Quantpedia

The pre-holiday effect is the reported tendency for equity markets to rise on the final trading session before a holiday. The proposed simple approach holds a broad equity exposure on specified pre-holiday sessions and remains in cash on other days.…

EquitiesEvent-drivenSentimentStatistics
Quantpedia

The document presents a calendar-based equity timing effect associated with Ramadan. It proposes holding an equally weighted basket of exchange-traded funds tracking countries with Muslim-majority populations during Ramadan and remaining in cash during the…

EquitiesSentimentBacktestingRisk management
Strategy library

This document describes a workflow that combines cryptocurrency market data and news to produce analysis reports for delivery through Telegram. It collects candlesticks across 15-minute, hourly, and daily timeframes, then asks a language model to score…

CryptoSentimentTechnical indicatorsExecution
Strategy library

This document outlines an automated cryptocurrency analysis workflow. It collects 200 candles each from 15-minute, hourly, and daily timeframes, alongside recent crypto news. A language model classifies news sentiment over short and long horizons, assigning…

CryptoTechnical indicatorsSentimentExecution
SuperMind

This post proposes screening equities for turnover between 3% and 12%, three consecutive sessions with falling closes, and positive net buying attributed to major participants during the opening auction. The combination mixes a liquidity or activity filter,…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This Chinese-language post proposes an equity selection rule using RSI below 65, circulating market value between 5 billion and 10 billion yuan, and a score based on price change multiplied by net very-large-order activity. It describes RSI as a short-term…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese-language post describes an equity screen combining four conditions: price amplitude above 1, appearance on the prior day’s trading activity leaderboard, membership in the robotics concept group, and circulating market value below 10 billion…

EquitiesChina marketsVolatilitySentiment
OKX Learn

The article assesses Pi Network’s stalled price action using volatility measures, chart structure, and nearby support and resistance. It describes narrowing Bollinger Bands, low historical volatility and ATR, and a proposed double bottom with support and a…

CryptoTechnical indicatorsBreakoutVolatility
OKX Learn

This guide outlines Dogecoin’s stated uses, including peer-to-peer payments, social media tipping, charitable fundraising, merchant purchases, gaming, and small online transactions. It links those use cases to the network’s relatively quick confirmations and…

CryptoSpot marketsSentimentVolatility
OKX Learn

The article describes a broad cryptocurrency sell-off following an announced U.S. tariff on Chinese imports. It attributes the sharp losses to macroeconomic risk aversion, cascading liquidations of leveraged long positions, and market makers withdrawing…

CryptoVolatilityMarket microstructureRisk management
Galaxy Research

The report reviews crypto and blockchain venture investment and fundraising in Q2 2025. It tracks capital and deal counts by investment stage, company category, geography, and founding year, and compares venture activity with bitcoin prices. It reports…

CryptoStatisticsSentimentUS markets
Bitget Academy

This bulletin provides a point-in-time overview of cryptocurrency markets on June 16, 2023. It lists total market capitalization, 24-hour turnover, and a neutral reading from the Fear and Greed Index, followed by prices and daily moves for Bitcoin, Ethereum,…

CryptoSpot marketsFuturesSentiment
Bitget Academy

This market bulletin summarizes cryptocurrency conditions on November 8, 2022. It reports aggregate market capitalization and trading volume, Bitcoin and Ethereum price moves, selected altcoin and exchange-token prices, and the leading daily gainers and…

CryptoSpot marketsFuturesMarket microstructure
FMZ digest

This tutorial describes a visual workflow for producing and distributing cryptocurrency market analysis. Scheduled market data requests collect 15-minute, hourly, and daily candles; the workflow labels and combines them. A separate news request gathers…

CryptoTechnical indicatorsSentimentMachine learning
FMZ forum

This essay compares the foundations of value in fiat money, gold, and Bitcoin. It describes fiat currency as resting on state authority and public credit, while gold historically served as a monetary anchor because of its scarcity, durability, and usefulness…

CryptoCommoditiesSpot marketsSentiment