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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

10,263 documents

quant-trading

The script outlines a VIX-style calculation from options prices. It estimates a forward level from the call-put price difference at the strike with the smallest disparity, selects the adjacent strike not above that forward, and aggregates out-of-the-money…

OptionsVolatilityDerivatives pricingStatistics
BigQuant

This directory surveys software used in quantitative research and algorithmic trading across languages including Python, R, Julia, Java, and Matlab. It groups tools by task, covering numerical computing and data analysis, technical indicators, pricing and…

StatisticsBacktestingPortfolio constructionDerivatives pricing
NautilusTrader

This Rust tutorial shows how NautilusTrader actors can consume Bybit options market data in two forms: per-contract Greeks updates and aggregated option-chain snapshots. The individual stream exposes values such as delta, gamma, vega, theta, implied…

OptionsVolatilityDerivatives pricingMarket microstructure
Amberdata research

This market note links crypto performance and options positioning to the prospect of persistently high interest rates, upcoming US inflation releases, and central-bank commentary. It characterizes Bitcoin as more resilient than Ether and reports stronger…

CryptoOptionsVolatilityDerivatives pricing
FMZ forum

The document describes three common mistakes made by new options traders: buying far out-of-the-money calls without accounting for timing and time decay, relying on one strategy in every market, and trading without a preplanned exit. It explains that an…

OptionsDerivatives pricingRisk managementVolatility
Amberdata research

This market recap examines BTC and ETH options during a sharp rally tied to expectations of approval for a spot BTC ETF. It tracks realized and implied volatility, term structure, call skew, options activity, and dealer gamma. The reported moves include a…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly market recap discusses Bitcoin and Ether options through realized volatility, term structure, skew, trading flows, and dealer gamma positioning. It reports that realized volatility had fallen over the preceding week as prices stayed within their…

CryptoOptionsVolatilityDerivatives pricing
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
Amberdata research

The document describes using historical volatility patterns to guide trading and risk decisions in BTC and ETH derivatives. It discusses a volatility cone, which displays realized volatility distributions across time horizons, and realized volatility grouped…

CryptoVolatilityDerivatives pricingRisk management
Amberdata research

This market commentary surveys Bitcoin and Ether options conditions for the week of May 14, 2023. It relates macroeconomic uncertainty, Federal Reserve expectations, and recent spot-price declines to implied and realized volatility, volatility risk premium,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly market commentary reviews crypto options conditions around January 29, 2023. It interprets Bitcoin options term structure as having moved into backwardation during a spot rally, suggesting the market priced more near-term movement. It also…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The document introduces a chart for examining an options butterfly across constant maturities. It defines the structure as long one call and one put with a short position in two at-the-money options, and says users can select among several delta levels and…

OptionsVolatilityDerivatives pricingCrypto
Amberdata research

The document introduces charts for comparing Bitcoin and Ethereum options implied volatility across delta levels. It describes two views: a spread calculated by subtracting Ethereum implied volatility from Bitcoin implied volatility, and a ratio calculated…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

The document gives brief trading guidance from an options and derivatives trader who focuses on forwards, warrants, and turbo certificates. Its central risk rule is to avoid taking a directional position, aiming to reduce the damage a sudden market reversal…

OptionsDerivatives pricingRisk management
BigQuant

The document discusses whether stochastic-process mathematics, including Brownian motion, still matters as machine learning becomes more common in quantitative finance. It presents several practitioner views: stochastic calculus has a stronger role in…

Machine learningStatisticsDerivatives pricingExecution
BigQuant

This overview distinguishes language generation from financial prediction, arguing that strong text generation does not by itself solve markets’ low signal-to-noise ratios, changing patterns, and limited data. It explains GPT’s development and instruction…

Machine learningStatisticsBacktestingDerivatives pricing
Amberdata research

This weekly market note interprets Bitcoin and Ether options alongside macro conditions for the week of February 26, 2023. It describes rising bond yields and hawkish Federal Reserve expectations as pressure on risk assets, while noting that crypto had…

CryptoOptionsVolatilityDerivatives pricing
FMZ guides

This guide explains how to use FMZ to access cryptocurrency options on Deribit, OKX, Huobi, Bybit, Aevo, and Gate.io. It describes selecting an options contract, retrieving market data, placing and canceling orders, checking positions, and finding contract…

CryptoOptionsExecutionDerivatives pricing
Cryptohopper blog

This introductory article describes Ethereum as a blockchain network for payments and smart contracts, and compares its design and history with Bitcoin and Ethereum Classic. It discusses the 2016 DAO-related fork, Ethereum’s use of the Ethereum Virtual…

CryptoDeFiDerivatives pricingVolatility
FMZ forum

The document introduces the Ornstein–Uhlenbeck (OU) process as a continuous-time model for a variable that is pulled toward a long-run mean while exposed to random shocks. It explains the roles of the mean, reversion speed, and volatility, contrasts OU…

StatisticsMean reversionFixed incomePairs trading
FMZ guides

This guide explains how to use FMZ Trading Terminal plugins to support manual or semi-automated trading. A plugin runs a code snippet on a selected Docker instance and can return data tables or charts. The examples include displaying an exchange order-book…

ExecutionMarket microstructureFuturesDerivatives pricing
SuperMind

The document describes a stock screen requiring daily price movement above a stated amplitude threshold, a nonempty name for an outstanding convertible bond, and an RSI reading below 65. It presents the bond condition as a possible signal of corporate…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

The newsletter links geopolitical tension involving Iran to volatility in oil, precious metals, and risk assets, arguing that broader risk sentiment may set crypto’s near-term direction. It reviews macro events but gives greater weight to geopolitics and…

CryptoOptionsVolatilityDerivatives pricing
vn.py community

This short forum exchange raises two questions about VeighNa’s OptionMaster tool: why only certain Chinese index option products appear, and why displayed option theoretical prices differ substantially from a trading application. A reply asks whether the…

OptionsDerivatives pricingChina markets