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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
WonderTrader
14 documents
Alphalens
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

8,116 documents

Amberdata research

This midweek market recap summarizes changes in Bitcoin options conditions, with brief coverage of volatility, term structure, skew, option flows, and gamma positioning. It reports that realized volatility continued to rise, implied volatility farther out on…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast introduction describes a discussion with T3 Index founder Simon Ho about volatility indexes, options trading, and building an index business. It identifies Spike as an index derived from SPY options that competes with the Cboe VIX, and mentions…

OptionsVolatilityEquitiesCrypto
Amberdata research

This mid-week derivatives recap summarizes conditions in Bitcoin and Ethereum options. It reports that realized volatility recovered during the week, while both assets’ volatility term structures moved lower; Bitcoin’s curve shifted further into contango. As…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary argues that quiet spot trading, low realized volatility, and a steep options term structure favor a near-term short-volatility bias in Bitcoin and Ether. It notes that scheduled inflation releases and a potential Bitcoin spot ETF…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This newsletter discusses crypto market behavior during a sharp tariff-driven selloff in equities. It compares volatility across equities, gold, and bitcoin, observing that bitcoin implied volatility had not risen as much as other measures at the time. The…

CryptoOptionsVolatilityMarket microstructure
NautilusTrader

This technical reference describes an OKX integration for market data and order execution across spot, margin, perpetual swaps, dated futures, options, spreads, and event contracts. It outlines the adapter's data and execution components, instrument loading…

CryptoFuturesOptionsExecution
Amberdata research

This weekly review combines macroeconomic context with observations on Bitcoin and Ether options markets around the March 2023 Federal Reserve decision. It discusses a flatter Bitcoin volatility term structure, the relative implied volatility of Ether and…

CryptoOptionsVolatilityDerivatives pricing
Lumibot

This documentation explains the built-in tools available to LumiBot agents for market research, account inspection, trading, memory, and notifications. It separates research agents from agents allowed to place or change orders: disabling trading removes…

ExecutionRisk managementBacktestingOptions
Amberdata research

This weekly recap describes changes in Bitcoin and Ether derivatives markets during a period of pressure following SEC actions against Binance and Coinbase. It tracks realized volatility, options term structure, skew, trading flows, and dealer gamma…

CryptoOptionsVolatilityDerivatives pricing
FMZ forum

The document summarizes how to work with FTX’s spot, futures, and options interfaces. It advises keeping spot and futures as separate exchange objects even though they use a common API key. It describes futures as USD-denominated and settled, with deposited…

CryptoFuturesOptionsExecution
vn.py

The document describes a software workflow for managing option volatility strategies. It covers model selection for European and American options, choosing a futures or synthetic underlying, monitoring option quotes and Greeks, and calibrating pricing…

OptionsVolatilityDerivatives pricingRisk management
Amberdata research

The document introduces two proposed views of Deribit options activity: net volume and net positioning. It says these features rely on a set of proprietary rules intended to identify which side initiated trades, so users can distinguish flow direction and…

CryptoOptionsMarket microstructureDerivatives pricing
Lumibot strategies

This document catalogs example strategies for a Python trading framework. The collection spans stock buy-and-hold, moving-average crossover, stock momentum rotation, a traditional stock-and-bond allocation, equal-weight Bitcoin and Ethereum, a short options…

EquitiesCryptoOptionsPortfolio construction
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
Amberdata research

This commentary presents a framework for crypto volatility trading that stresses timing and carrying costs over the simple idea of selling volatility whenever it appears historically high. It describes realized volatility as mean reverting, while warning…

CryptoOptionsVolatilityMean reversion
Amberdata research

This webinar recap summarizes Q2 2023 analysis of crypto options, focusing on how spot price moves relate to implied volatility, how option trade direction can be inferred, and how Bitcoin’s volatility risk premium compares with realized volatility. It…

CryptoOptionsVolatilityDerivatives pricing
Lumibot

The document explains what strategy trade exports contain and how to use them when reviewing a backtest. HTML and tabular files report order timing and prices, the traded asset, cash balances, raw portfolio value, and a cash-adjusted equity series intended…

BacktestingOptionsRisk management
Amberdata research

This newsletter reviews a sharp market sell-off through several proposed catalysts: Middle East tensions, the Bank of Japan’s rate increase, weaker-than-expected US employment data, and a cautious Federal Reserve. It discusses the yen’s rally and Japanese…

CryptoOptionsVolatility
vn.py community

This forum exchange addresses how a strategy can retrieve the cost basis of a contract it already holds, so later decisions can account for current profit or loss. Participants advise maintaining the value in strategy-managed state: record it when trade…

OptionsExecutionRisk management
Amberdata research

The document describes a chart for comparing options trading volume executed on screen with volume executed through block trades. Its purpose is to help users assess which execution channel is contributing to market participation. It notes that large…

OptionsCryptoMarket microstructure
Amberdata research

This brief derivatives-market recap reports four observations for Bitcoin and Ether: realized volatility had fallen further, options term structures were in steep contango, skew was moving lower, and trading flows were light in Bitcoin while Ether activity…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market report reviews Bitcoin and Ether volatility, options pricing, dealer exposure, derivatives positioning, and macro catalysts. It describes implied volatility and realized volatility as compressed, with flat or contangoed term structures, a marked…

CryptoOptionsVolatilityDerivatives pricing
vn.py community

The post questions where the discount factor belongs in a binomial option-pricing recurrence. The cited implementation discounts the expected value of holding the option at a node, then compares that value with immediate exercise value and zero. The author…

OptionsDerivatives pricing
Amberdata research

Amberdata announced that it had become an authorized redistributor of CME Group cryptocurrency futures and options market data. The offering covers Bitcoin and Ether instruments and includes tick-level open interest, trades, and ticker information. Data can…

CryptoFuturesOptionsMarket microstructure