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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

766 documents

Amberdata research

This weekly market recap reviews BTC and ETH options through realized and implied volatility, term structure, skew, option flows, and dealer gamma. It reports falling realized and implied volatility, especially at the front end, alongside differences in…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This report surveys stablecoin market capitalization, issuance and redemptions, transfer sizes, and network participation during 2023 and 2024. It compares major assets including USDT, USDC, FDUSD, and DAI, describing distinct patterns in supply growth and…

CryptoOn-chain dataDeFiRisk management
Amberdata research

This weekly crypto market report surveys spot exchanges, futures and swaps, decentralized exchanges, lending activity, and Bitcoin and Ethereum network metrics for the week of May 24, 2023. It describes lower centralized-exchange volumes after a burst of…

CryptoFuturesMarket microstructureDeFi
Amberdata research

This product-feature note introduces a chart comparing implied volatility in option wings with at-the-money implied volatility. Users can select an option delta and days to expiry, then inspect the wing-to-ATM volatility ratio. The example states that ETH…

OptionsCryptoVolatilityDerivatives pricing
Amberdata research

This conference recap reports themes raised at an AIM Summit Dubai panel on whether conditions were favorable for crypto. Discussion covered the macro backdrop, regional differences, stablecoins, and tokenization. The article also notes institutional…

CryptoEvent-driven
Amberdata research

This article explains how historical Bitcoin market data can support research, strategy backtesting, volatility analysis, and comparisons with other assets. It describes API access as a way to request data over chosen periods and automate analysis. The data…

CryptoBacktestingMarket microstructureVolatility
Amberdata research

This primer explains how algorithmic stablecoins seek to hold a fiat peg by adjusting token supply, often through a related token and arbitrage. It compares them with fiat-backed and over-collateralized designs, and outlines evaluation factors including…

CryptoDeFiArbitrageRisk management
Amberdata research

The report argues that Bitcoin’s price drivers have shifted from the four-year halving cycle toward institutional flows, especially ETF activity, alongside monetary policy, regulation, and broader risk appetite. It describes a post-correction market with…

CryptoSpot marketsDerivatives pricingMarket microstructure
Amberdata research

This overview explains tokenization as representing ownership interests in physical or digital assets with blockchain-recorded tokens. Divisible tokens can represent fractions of assets such as property, art, or intellectual property, and transfers can be…

CryptoDeFiMarket microstructureExecution
Amberdata research

This midweek derivatives recap summarizes Bitcoin and Ether conditions during a period when spot prices were testing familiar levels. It discusses realized volatility, the shape of the volatility term structure, skew, options flows, and dealer gamma. Bitcoin…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly market note links Bitcoin’s rally to macro developments including rising bond yields, war-related spending concerns, gold strength, and optimism about a Bitcoin ETF and the Ripple lawsuit. It reviews Bitcoin options term structure, put skew,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The document describes a chart for comparing two historical derivatives term structures. Users choose two dates and times, with minute-level precision, to inspect how the curve changed between those points. This can help examine market responses around…

CryptoOptionsDerivatives pricing
Amberdata research

This overview explains why digital-asset tax and regulatory compliance can be difficult for financial institutions. It describes the record-keeping challenge created by pseudonymous networks, cross-border activity, and varied transactions such as asset…

CryptoDeFiOn-chain dataRisk management
Amberdata research

The article outlines ways institutional investors can seek yield from DeFi lending, borrowing, and liquidity provision. It recommends comparing protocols for liquidity and expected returns, accounting for interest, fees, and token incentives, and using…

DeFiCryptoRisk managementPortfolio construction
Amberdata research

The announcement explains how a decentralized oracle network can connect blockchain smart contracts to external APIs, which contracts cannot query directly. It describes a partnership through which Amberdata market and blockchain data can be requested…

CryptoMarket microstructureExecutionOn-chain data
Amberdata research

The article explains two execution benchmarks for large crypto orders. VWAP weights transaction prices by traded volume, so high-volume trades influence it more. TWAP gives equal weight to prices across fixed time intervals, supporting a steadier execution…

CryptoExecutionMarket microstructureBacktesting
Amberdata research

The document introduces a metric comparing Deribit’s DVOL Index with constant 30-day at-the-money volatility. It can be displayed as either a ratio or a spread, offering a way to examine how the volatility represented across strikes differs from the…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly review combines a market outlook with BTC and ETH options observations. It links BTC’s consolidation to lower implied volatility and describes the term structure as flat, while noting that contango is the more common state. The author uses that…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This article surveys Ethereum’s network activity and ecosystem developments around its eighth anniversary. It reports snapshots of staking, decentralized finance deposits, node counts, transaction activity, and ETH price and capitalization, then outlines a…

CryptoDeFiFuturesOn-chain data
Amberdata research

The article explains how leveraged crypto positions can be forcibly closed when prices fall, collateral loses value, liquidity dries up, or other shocks weaken a position. Because liquidation systems often operate automatically, one round of forced selling…

CryptoRisk managementOn-chain dataVolatility
Amberdata research

This market recap compares Bitcoin and Ethereum options through realized and implied volatility, term structure, skew, trading flows, and dealer gamma. It describes falling Bitcoin realized volatility alongside firmer implied volatility, while Ethereum’s…

CryptoOptionsVolatilityMarket microstructure
Amberdata research

This digital asset market update reviews regulatory developments involving Binance and Kraken, a planned Ethereum layer 2 network from OKX, and activity across centralized exchanges, decentralized exchanges, and DeFi lending. It reports declining Binance…

CryptoSpot marketsDeFiMarket microstructure
Amberdata research

This market newsletter reviews crypto options positioning ahead of a U.S. election and a dense schedule of economic releases. It compares Bitcoin implied and realized volatility, noting a stated premium in short-dated options and a rise in implied volatility…

CryptoOptionsVolatilityDerivatives pricing