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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

24 documents

SuperMind

This recap of an Amberdata and Blockworks webinar discusses institutional participation in Bitcoin markets, with attention to derivatives, market structure, and the possible effects of a spot exchange-traded fund. It frames Bitcoin's 2023 performance and…

CryptoOptionsFuturesVolatility
SuperMind

This research proposes treating convertible bonds differently according to whether they are bond-like, balanced, or equity-like, classified by the premium of parity value over bond value. It explains a valuation decomposition in which a bond floor or…

Fixed incomeOptionsFactor investingPortfolio construction
SuperMind

This stock selection note combines three conditions: a stated price amplitude threshold, a nonempty name for an outstanding convertible bond, and a bullish MACD crossover in which DIFF moves above DEA. The proposed rationale is to combine price movement,…

EquitiesOptionsTechnical indicatorsMomentum
SuperMind

This introduction explains a one-period binomial model for a call option. The underlying asset starts at 100 and can move to either 110 or 90 by the next day; with a strike of 100 and interest rates set to zero, the call pays 10 in the up state and nothing…

OptionsDerivatives pricingRisk management
SuperMind

This example shows a live data actor subscribing to a slice of Bitcoin options on Deribit. At startup, it filters cached instruments to find unexpired options, selects the nearest expiry, prefers BTC settlement when available, and constructs a series…

CryptoOptionsDerivatives pricingMarket microstructure
SuperMind

This article revisits volatility in option pricing, focusing on the constant-volatility assumption in Black–Scholes. It considers time-varying stochastic volatility, represents log volatility through a mean-reverting process, and motivates using a rougher…

OptionsVolatilityDerivatives pricingStatistics
SuperMind

This document outlines a stock screen using RSI below 65, bid-side displayed volume greater than ask-side volume, and a nonempty name for an outstanding convertible bond. It interprets the RSI threshold as a way to avoid an overbought reading, the volume…

China marketsEquitiesOptionsTechnical indicators
SuperMind

This review compares passive and active approaches to protecting U.S. equity portfolios during severe drawdowns and recessions. Its sample covers 1985–2018, including eight equity declines greater than 15% and three U.S. recessions. It discusses rolling S&P…

EquitiesFuturesOptionsTrend following
SuperMind

The document explains market making as continuously quoting buy and sell prices and trading against customer orders to provide immediacy and liquidity. A simple futures example illustrates spread capture when both sides fill, while showing that an adverse…

Market makingMarket microstructureFuturesOptions
SuperMind

This article explains how to build an options strategy with VeighNa’s template-based OptionStrategy module and evaluate it with historical data. Its example sells one at-the-money call and one at-the-money put on the current month’s China Financial Futures…

OptionsVolatilityBacktestingExecution
SuperMind

This documentation overview maps backtesting data sources to asset classes, bar intervals, and setup requirements in LumiBot. It suggests Yahoo for uncomplicated daily stock and ETF tests, ThetaData for intraday stock or options history, Polygon for several…

BacktestingEquitiesOptionsFutures
SuperMind

The document introduces Lévy processes as a way to model asset-price behavior with jumps and distributions that can have heavier tails than a normal model. It describes a price process combining drift, Brownian motion, and a Lévy component, then outlines…

Derivatives pricingVolatilityStatisticsOptions
SuperMind

The document introduces European call and put options, defining their right to buy or sell an underlying asset at a strike price on a fixed expiry date. It frames fair option valuation through a market containing a risk-free asset, the underlying stock, and…

OptionsDerivatives pricingVolatilityStatistics
SuperMind

This tutorial introduces finite difference methods for approximating derivatives in a parabolic partial differential equation, using the heat equation as its example. It motivates the approach for quantitative finance by noting that the Black-Scholes…

Derivatives pricingOptionsStatisticsRisk management
SuperMind

This document outlines the risk-neutral argument behind the Black–Scholes partial differential equation for a European option. It starts with a stochastic model of a stock price and applies Itô’s lemma to describe how an option’s value changes with the…

OptionsDerivatives pricingStatisticsArbitrage
SuperMind

These reading notes survey quantitative investing methods across stock selection, market timing, futures and options arbitrage, statistical arbitrage, algorithmic execution, and asset allocation. They outline factor selection, style and sector rotation,…

EquitiesFuturesOptionsArbitrage
SuperMind

These notes introduce derivatives as contracts whose value depends on an underlying asset or other variable, then distinguish exchange-traded markets from over-the-counter trading. They outline forwards, options, futures, and swaps, explaining basic contract…

Derivatives pricingFuturesOptionsArbitrage
SuperMind

This stock screen selects shares with an amplitude above 1, ranks them by the day’s auction amount, and keeps the top five if the company has an outstanding convertible bond. The document interprets the bond condition as a way to include financing…

EquitiesOptionsChina marketsTechnical indicators
SuperMind

This explanation derives a call option’s no-arbitrage value by constructing a hedge in a one-period, two-state stock model. The stock is assumed to be worth 100 today and either 110 or 90 at expiration, while a call with a strike of 100 pays 10 in the up…

OptionsDerivatives pricingRisk management
SuperMind

This essay explains how expected value, expected utility, and prospect theory can lead people to make different choices under uncertainty. A button example contrasts a guaranteed smaller payoff with a larger payoff available at a lower probability. It then…

StatisticsRisk managementArbitrageOptions
SuperMind

This market recap reviews Bitcoin and Ether options through realized and implied volatility, term structure, skew, option flows, and dealer gamma. It reports that short-dated implied volatility fell, while term structures moved back toward contango. Bitcoin…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This reference explains how a crypto option instrument is represented, including its underlying asset, put-or-call type, strike, activation and expiration times, quote and settlement currencies, and contract sizing. It catalogs required and optional fields…

CryptoOptionsDerivatives pricingExecution