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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

766 documents

Amberdata research

The document surveys crypto regulation developments reported across several regions and institutions. It describes the Financial Stability Board’s planned recommendations, the European Union’s MiCA framework for crypto assets, stablecoins, wallets and…

CryptoMulti-asset
Amberdata research

This article summary describes research into time-of-day variation in crypto order-book depth and its implications for execution. Using BTC/FDUSD data, the cited study reports that depth fluctuates substantially over the day, with stronger liquidity near the…

CryptoMarket microstructureExecutionStatistics
Amberdata research

The document describes Amberdata Beacons, an on-chain data feed service built with API3’s Airnode technology and announced for ETHDenver 2022. Each Beacon is continuously updated and uses a single first-party oracle: the data provider publishes its own…

CryptoDeFiOn-chain data
Amberdata research

This report explains how to design a cryptocurrency arbitrage strategy across centralized exchanges and decentralized exchanges using automated market maker pools. It covers the differences between order-book prices and pool pricing, then identifies costs…

CryptoArbitrageDeFiExecution
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

The report examines Bitcoin supply age bands and wallet balance cohorts to describe a possible transfer of coins during a correction. It explains how HODL waves track time since coins last moved, then compares changes among younger and older supply bands…

CryptoOn-chain dataMarket microstructure
Amberdata research

This market snapshot combines macro data with crypto spot, derivatives, liquidity, positioning, ETF, stablecoin, and DeFi lending indicators. It interprets recent long liquidations as a clearing of positions built during an earlier short squeeze, while…

CryptoPerpetual futuresMarket microstructureOn-chain data
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 snapshot combines price and volatility data with spot and derivatives volume, open interest, funding, order-book depth, ETF flows, stablecoin supply, and DeFi lending measures. It interprets those indicators against tariff and geopolitical headlines,…

CryptoPerpetual futuresVolatilityMarket microstructure
Amberdata research

The document surveys indicators intended to help assess potential market tops and bottoms in Bitcoin and Ethereum. It describes moving averages as possible trend and support or resistance references, and compares market capitalization with realized…

CryptoTechnical indicatorsOn-chain dataSentiment
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 introduction to crypto pairs trading argues that correlation alone does not establish a durable relationship between two assets. A pair may move together because of shared market forces, yet its price spread can continue drifting. Cointegration offers a…

CryptoPairs tradingMean reversionStatistics
Amberdata research

The interview describes Titan’s approach to spot swaps on Solana: gather quotes from on-chain venues and other aggregators, then route trades among those sources with the aim of improving price and limiting slippage. It explains that the system evaluates…

CryptoDeFiOn-chain dataExecution
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
Amberdata research

This market commentary reviews BTC and ETH options conditions around a period of spot weakness, recovery, and anticipation of a US presidential debate. It reports comparatively stable realized volatility, higher front-end implied volatility, positive carry…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly commentary interprets Bitcoin and Ether options markets around scheduled US inflation and Federal Reserve announcements in December 2022. It compares implied volatility with realized volatility, arguing that a wide volatility risk premium…

CryptoOptionsVolatilityEvent-driven
Amberdata research

This market recap examines BTC and ETH options through realized volatility, volatility carry, expiry term structures, relative value, option flows, and dealer gamma. It describes rising BTC volatility after a spot advance, comparatively steady ETH…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market snapshot reviews how tariff news, Treasury yields, inflation, and employment data shaped crypto trading conditions. It describes an initial decline in Bitcoin, Ethereum, and Solana followed by a rebound as bond markets stabilized, while warning…

CryptoSentimentOn-chain dataPerpetual futures
Amberdata research

The podcast discusses possible growth paths for crypto options, drawing comparisons with traditional markets. Its central argument is that bear markets can give new derivatives products room to attract traders seeking other ways to trade or manage exposure.…

CryptoOptionsDerivatives pricingMarket microstructure
Amberdata research

This overview explains how Layer 2 protocols reduce the work handled directly by a blockchain’s base layer. They process transactions off-chain or in batches and anchor settlement information to Layer 1. The proposed benefits are lower congestion, reduced…

CryptoExecutionMarket microstructureDeFi