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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

8,116 documents

Amberdata research

The document argues that combining blockchain activity data with options and volatility data may help traders identify crypto opportunities and build hedges. It describes comparing on-chain transaction flows with realized volatility, as well as examining…

CryptoOptionsOn-chain dataVolatility
Amberdata research

The document introduces two historical option volatility views for a selected expiration. The strike view plots implied volatility curves over time against strike, while the delta view plots them against delta. These views let analysts examine how the…

OptionsVolatilityDerivatives pricing
Amberdata research

This document introduces a measure called term-structure richness for describing the relative level of contango or backwardation in an options volatility curve. A value of 1.00 represents a flat curve under the provider’s measurement method; readings on…

OptionsVolatilityDerivatives pricing
BigQuant

The article outlines a Monte Carlo approach to pricing European calls on the China 50 ETF under the Black-Scholes-Merton framework. It divides the life of the option into time steps, simulates the underlying price with normally distributed shocks, calculates…

OptionsDerivatives pricingStatisticsChina markets
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
ProRealCode

This document outlines a rule-based implementation of the TD Sequential indicator, designed to identify possible turning points against an existing trend. A setup phase counts qualifying consecutive price comparisons until a nine-bar condition is reached. A…

Technical indicatorsForexCommoditiesOptions
Amberdata research

This mid-week market recap summarizes conditions in Bitcoin and Ether derivatives as of December 14, 2022. It highlights tight trading ranges and realized volatility remaining firm near its lows. Bitcoin’s options term structure is described as being in…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market snapshot examines BTC and ETH options and derivatives alongside macroeconomic conditions. It describes implied volatility and realized volatility as unusually compressed, while volatility risk premium readings remain elevated. Put skew is…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly market commentary reviews BTC and ETH options conditions during a period of falling realized and implied volatility alongside weaker spot prices. It discusses changes in volatility term structures, put and call skew, relative volatility between…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The newsletter reviews a week in which Bitcoin rose 8% after briefly falling below $100,000 amid geopolitical headlines. It connects the rebound to falling crude prices and stronger performance in higher beta crypto assets, while noting that Bitcoin’s year…

CryptoOptionsFuturesVolatility
Amberdata research

This derivatives newsletter reviews Bitcoin and Ether price and options behavior around a sequence of SEC-related events, ETF approval, and the start of ETF trading in January 2024. It describes a muted immediate spot response to a false approval report, a…

CryptoOptionsVolatilityDerivatives pricing
Lumibot

This engineering guide explains how to locate backtest slowdowns while preserving simulation behavior. It separates startup, historical data loading, strategy computation, and report generation, and recommends first distinguishing cold runs that fetch data…

BacktestingExecutionOptions
Lumibot

This guide explains how LumiBot’s OptionsHelper supports options selection and order construction. It covers finding expirations on or after a target date, selecting strikes by target delta, validating quote quality, and assembling common multi-leg…

OptionsDerivatives pricingExecutionBacktesting
vn.py community

A forum participant asks whether a CTA approach fits trading futures and options from indicators while seeking to hedge positions. The response points to a portfolio strategy module for developing strategies that trade multiple contracts. This suggests…

FuturesOptionsPortfolio construction
BigQuant

This excerpt summarizes a dated market note about the China 50 ETF and volatility conditions. It interprets a rise in the trading-volume put-call ratio as a shift toward cautious sentiment and notes a premium in at-the-money call implied volatility relative…

OptionsVolatilitySentimentChina markets
vn.py community

This short VeighNa community exchange answers a practical question about downloading one-minute data for all listed and expired options on several Chinese stock indexes. A user asks whether entering a family code can retrieve every contract at once; the…

OptionsChina markets
vn.py community

A VeighNa community exchange distinguishes the roles of two option modules in version 3.9.3. It describes the open-source OptionMaster as intended for semi-automatic volatility trading, while the Elite edition's OptionStrategy module is designed for fully…

OptionsVolatility
Amberdata research

This weekly market note connects Bitcoin ETF flows and continued GBTC selling with pressure on BTC prices, while describing the effect of past GBTC premiums and subsequent liquidations. It reports that BTC risk reversal skew had begun to recover from a low…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The newsletter connects geopolitical uncertainty, oil volatility, weaker employment data, and upcoming inflation releases with risk pricing in Bitcoin options. It contrasts active daily price swings with subdued month-to-month movement, using two…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This dated market note links crypto pricing to US macro events, especially the Federal Reserve decision and employment data. It treats Bitcoin as a gold-like alternative currency and Ether and other altcoins as more economically sensitive risk assets. The…

CryptoOptionsVolatilityMean reversion
Amberdata research

The document explains how a calibrated SVI volatility surface can be used to estimate option prices across a range of strikes, then apply the Breeden-Litzenberger relationship. That relationship connects the second strike derivative of call prices to a…

CryptoOptionsDerivatives pricingVolatility
Amberdata research

This market recap examines BTC and ETH options during a sharp rally. It describes realized and implied volatility rising, with BTC’s move and volatility increase stronger than ETH’s. The commentary notes that higher short-dated implied volatility can leave…

CryptoOptionsVolatilityDerivatives pricing