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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
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 article proposes combining two options data sources to investigate large-trader activity. Block-volume data summarizes large options trades by instrument, exchange, and underlying asset; decorated-trade data adds trade timing and level-one order-book…

OptionsCryptoMarket microstructureVolatility
Amberdata research

This market commentary links the week’s U.S. data calendar to expected crypto volatility, focusing on the Federal Reserve Beige Book, PCE inflation, and a scheduled FOMC meeting. It argues that PCE is the most likely near-term volatility catalyst, while the…

CryptoOptionsVolatilityEvent-driven
vn.py community

This guide explains how to use MultiCharts as a historical data feed for VeighNa through the vnpy_mcdata module. It distinguishes this data service from a trading gateway, so users can connect the feed while continuing to trade through other interfaces. The…

FuturesOptionsChina markets
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

Fixed incomeOptionsVolatilityChina markets
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

Fixed incomeOptionsVolatilityChina markets
Amberdata research

The newsletter argues that Solana options may offer relatively attractive upside volatility compared with Ethereum. It compares their recent implied pricing with historical realized volatility, including the relative level of 30-day realized volatility and…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market outlook argues for bullish crypto exposure alongside short volatility, based on the author’s view that risk appetite may improve, recent volatility has eased, and Bitcoin options term structure may return to steeper contango. It notes that spot…

CryptoOptionsVolatilityDerivatives pricing
vn.py community

A brief Chinese-language forum exchange addresses how to obtain real-time VIX data when a trading interface does not provide it. The questioner says the strategy requires live VIX values and asks about manually subscribing through a data service. A…

VolatilityOptionsExecution
Amberdata research

This podcast recap links a rebound in crypto option activity during Bitcoin’s rally to optimism about possible ETF approval. It also describes large Ethereum overwrite positions, changes to Deribit margin requirements intended to address their risk, and…

CryptoOptionsVolatilityRisk management
Amberdata research

This market commentary examines Bitcoin options pricing ahead of a US spot ETF decision, alongside Federal Reserve expectations and upcoming inflation data. It describes a term structure with elevated implied volatility relative to realized volatility and…

CryptoOptionsVolatilityEvent-driven
Lumibot

The bot sells put credit spreads on SPY, using a research agent to review price, trend, and the option chain. It selects expirations 30 to 45 days away, a short put near 0.16 delta, and a long put five points lower. The trading agent manages an existing…

OptionsUS marketsRisk managementBacktesting
Amberdata research

This market recap discusses Bitcoin and Ether options through realized volatility, implied volatility term structure, skew, and relative value. It reports that realized volatility was in the 40s, front-end implied volatility fell by 3–5 volatility points,…

CryptoOptionsVolatilityDerivatives pricing
Lumibot

This guide explains how to connect LumiBot to Charles Schwab’s Trader API for equities and single-leg options. It covers API approval, application credentials, callback URLs, environment settings, first-time OAuth login, and token renewal. It also outlines…

EquitiesOptionsExecutionMarket microstructure
Amberdata research

This weekly derivatives recap describes Bitcoin and Ether options conditions during a period of crypto market weakness. It reviews realized volatility, the shape of options term structures, skew, trading flows, and dealer gamma positioning. The recap reports…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market update reviews Bitcoin and Ether derivatives conditions using realized volatility, options term structure, skew, option flows, and dealer gamma positioning. It reports that realized volatility had fallen into the low twenties, with Bitcoin’s…

CryptoOptionsVolatilitySentiment
BigQuant

The report explains how option prices can be used to construct volatility and skew measures for the Chinese equity market. VIX represents expected volatility over a forward period, while SKEW captures the market’s pricing of asymmetric returns and tail risk.…

OptionsVolatilityDerivatives pricingChina markets
FMZ forum

The document explains short puts as a mildly bullish to neutral strategy: the seller collects premium if the underlying stays above the strike, while gains are limited and losses can grow if the price falls. It proposes selling slightly out-of-the-money puts…

OptionsEquitiesDerivatives pricingRisk management
Amberdata research

This podcast recap explains how options positioning and dealer hedging can connect derivatives flows with movements in stocks and indices. It describes gamma-based analysis as a way to estimate where dealers may need to buy or sell the underlying, and…

OptionsVolatilityMarket microstructureExecution
Amberdata research

This weekly market commentary links crypto options pricing and positioning to Federal Reserve remarks, inflation releases, and potential spot ETF news. It describes Bitcoin’s flat term structure and elevated volatility risk premium, notes differing…

CryptoOptionsVolatilityDerivatives pricing
vn.py community

This troubleshooting post examines why position records from an options gateway show zero unrealized profit and loss. The author traces the issue to the gateway’s position-query handler: it initializes average price at zero, while the received…

OptionsRisk managementExecution
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
Lumibot

This example describes a bot that builds a portfolio from a House member’s disclosed stock and call option holdings and reported trades. A research agent reads annual and transaction filings, infers current holdings, and skips expired options and reports…

Event-drivenOptionsEquitiesPortfolio construction
Amberdata research

This brief mid-week recap summarizes Bitcoin and Ether derivatives conditions as spot prices rose ahead of US inflation data in April 2023. It reports Bitcoin 10-day realized volatility reaching 31%, an inverted term structure in both assets, and renewed…

CryptoOptionsVolatilityDerivatives pricing