Skip to content

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

8,116 documents

Amberdata research

This market commentary links a hotter-than-expected inflation reading and weak Treasury auction demand to reduced expectations for near-term rate cuts, pressure on bonds, and higher geopolitical risk around Iran. It reports a sharp risk-off move in…

CryptoOptionsFuturesVolatility
Amberdata research

This market commentary reviews Bitcoin, Ether, and other crypto assets after a hawkish Federal Reserve decision. It connects the cross-market decline to higher inflation expectations and fewer anticipated rate cuts, then discusses how falling spot prices…

CryptoOptionsVolatilityFutures
Amberdata research

This weekly commentary reviews crypto options markets amid uncertainty following the FTX collapse. It discusses implied volatility, realized volatility, the term structure, and BTC risk reversal skew, arguing that downside puts remained in demand while the…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This mid-week market recap summarizes several observations about Bitcoin and Ether options as of January 31, 2023. It reports that recent large price swings kept 10-day realized volatility from declining sharply, while Bitcoin’s term structure remained…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary reviews early 2025 conditions across Bitcoin, Ethereum, and Solana. It links macro events and labor data to volatility expectations, and describes Bitcoin positioning around the $100,000 strike, including dealer short gamma and demand…

CryptoOptionsFuturesCarry
BigQuant

This study treats a convertible bond as combining straight-bond value and embedded equity-option value, and examines how bond returns relate to the underlying stock. It reports positive return correlation across conversion-status groups, with average…

Fixed incomeOptionsFactor investingPortfolio construction
Amberdata research

This market commentary reviews crypto options conditions in early January 2023, focusing on Bitcoin and Ether implied and realized volatility, term structure, risk reversals, and trading flow. It argues that exceptionally subdued Bitcoin volatility and a…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains how options traders can compare implied volatility, which reflects the market’s priced expectation of future movement, with realized volatility, which measures past movement. That comparison can help assess whether options or particular…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This mid-week recap summarizes conditions in Bitcoin and Ether derivatives as of February 22, 2023. It highlights a sharp Bitcoin rally toward a stated resistance level, an inverted Bitcoin options term structure, and a shift in Bitcoin skew toward call…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This derivatives newsletter interprets Bitcoin options and futures positioning in the week before a US PCE release and developments in the 2024 election campaign. It reports a rise in implied volatility relative to realized volatility, a week-over-week…

CryptoOptionsPerpetual futuresVolatility
Amberdata research

This newsletter links Federal Reserve decisions, labor and inflation data, GDP, tariffs, and company earnings to crypto market behavior. It describes a week in which weaker payroll data and downward revisions coincided with higher inflation and positive GDP,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market recap interprets Bitcoin and Ether options during a sharp sell-off and liquidation episode. It compares realized and implied volatility, put and call skew across expiries, carry, and the volatility spread between the two assets. The commentary…

CryptoOptionsVolatilityCarry
Amberdata research

This weekly options commentary links a rally in risk assets and a more dovish interest-rate outlook to bullish sentiment in Bitcoin and Ethereum. It reviews macroeconomic catalysts, spot performance, implied volatility, options skew, and reported trading…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary connects crypto price swings with higher US yields, macroeconomic uncertainty, and changing risk appetite. It discusses Bitcoin’s support levels and consolidation, Ethereum’s supply changes amid Layer 2 growth, and options positioning…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The document explains two ways to inspect option delta across strikes and expirations. A constant-maturity surface compares options at a standardized horizon, helping track how strike-level deltas change without mixing in different times to expiry. A…

OptionsDerivatives pricingRisk management
Amberdata research

The newsletter links inflation trends, expected Federal Reserve rate cuts, precious metals, and crypto prices to possible options trades. Its author argues that regulatory uncertainty could weigh more on Ethereum than Bitcoin, making ETH call selling…

CryptoOptionsVolatilityEvent-driven
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
ProRealCode

This short note defines historical volatility as the standard deviation of regularly sampled logarithmic price changes, following Sheldon Natenberg’s description in an options-pricing text. Its indicator recipe calculates close-to-close log returns, takes…

OptionsVolatilityStatistics
Amberdata research

The article discusses BitMEX’s options launch and its partnership with PowerTrade, emphasizing USDC-denominated contracts and multi-asset margining. It describes how collateral from multiple cryptocurrencies is converted to USDC for options trading, and how…

CryptoOptionsVolatilityDerivatives pricing
Lumibot

This Python strategy sells a short-dated SPY iron condor near the end of each trading day, targeting expiration on the next trading day. It skips a new position when the prior day's VIX close exceeded 25. Otherwise, an AI trading agent selects short put and…

OptionsVolatilityRisk managementPosition sizing
vn.py community

A short forum exchange raises a reproducibility issue: the same options strategy reportedly produced different returns in two backtests. The original poster wonders whether running several strategies at the same time caused the discrepancy. A respondent…

OptionsBacktesting
Amberdata research

This market commentary reviews Bitcoin options conditions during a week of rising crypto prices and macroeconomic uncertainty. It describes elevated implied volatility and a relatively flat term structure, then suggests that volatility could ease and the…

CryptoOptionsVolatilityDerivatives pricing
NautilusTrader

This tutorial describes running a shared short volatility strategy on Derive. It selects an out-of-the-money ETH call and put at the nearest expiry, tracks venue supplied option Greeks, and offsets net portfolio delta with ETH perpetual orders when exposure…

CryptoOptionsVolatilityPerpetual futures