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
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

45 documents

Amberdata research

The document explains how executed trades and resting orders provide different views of Bitcoin markets. Trade volume shows what has already happened, while order book depth aggregates buy and sell interest at unexecuted price levels. A depth chart gives a…

CryptoMarket microstructureExecutionArbitrage
Amberdata research

The article surveys possible uses of artificial intelligence in crypto trading and decentralized finance. It discusses robo-advisory, automated bots, strategy development and backtesting, risk assessment, arbitrage monitoring, sentiment analysis, predictive…

CryptoMachine learningBacktestingArbitrage
Amberdata research

The document explains how crypto data aggregators combine information from centralized and decentralized exchanges into normalized time series. It frames fragmentation across venues, trading pairs, and blockchains as an infrastructure problem for…

CryptoArbitrageBacktestingRisk management
Amberdata research

This weekly digital-asset snapshot combines price action with derivatives positioning, institutional flows, order-book liquidity, spreads, and DeFi indicators. It describes Bitcoin testing support near $86,000 amid a broader risk-off move, while ETF…

CryptoPerpetual futuresMarket microstructureVolatility
Amberdata research

This interview summary reports Shawn Douglass’s views on institutional participation in digital assets and DeFi, including how U.S. regulation may affect adoption. It says institutions continued building crypto capabilities after the FTX collapse and points…

CryptoDeFiOptionsArbitrage
Amberdata research

This report reviews 2024 activity in centralized crypto spot and derivatives markets. It describes how exchange and asset trading volumes changed through the year, noting periods of high activity across major venues and tokens. It suggests using volume…

CryptoFuturesPerpetual futuresArbitrage
Amberdata research

The article explains how data supports several spot Bitcoin ETF functions: calculating net asset value (NAV) and intraday indicative value, checking reserves, and helping authorized participants trade around price deviations. Because Bitcoin trades…

CryptoSpot marketsOn-chain dataArbitrage
Amberdata research

This market report attributes Bitcoin's decline to several concurrent pressures: inflation concerns, elevated Treasury yields, geopolitical uncertainty, and a reduction in demand for risk assets. It describes hedge funds buying spot Bitcoin through…

CryptoArbitrageRisk management
Amberdata research

The article introduces OKX Nitro Spreads as a way to trade the price difference between futures and perpetual swap contracts through a single instrument. It describes spread trading as useful for hedging exposure or responding to price differences, with the…

CryptoFuturesPerpetual futuresArbitrage
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

The article analyzes a reported Bithumb accounting error that credited users with Bitcoin balances that existed only on the exchange’s internal ledger. Recipients sold into live bids, producing a steep local price decline while prices on other venues…

CryptoMarket microstructureArbitragePerpetual futures
Amberdata research

This overview describes how institutional crypto trading differs from retail activity, emphasizing larger trade sizes, specialized infrastructure, compliance demands, and execution across multiple venues. It surveys approaches including over-the-counter…

CryptoArbitrageExecutionRisk management
Amberdata research

The document outlines ways to compare blockchain activity and use cross-chain data in trading research. It proposes converting transaction volume into a common currency, aligning observations across networks in time, and adjusting measurements so activity…

CryptoOn-chain dataArbitrageExecution
Amberdata research

The document argues that informed DeFi analysis requires four complementary data views: protocol, pool, asset, and wallet. Protocol data supports comparisons across financial functions such as lending, staking, and asset management. Pool data describes…

DeFiCryptoOn-chain dataArbitrage
Amberdata research

The document introduces decentralized finance as blockchain based software that can perform functions commonly handled by financial institutions. It describes smart contracts supporting lending, trading, liquidity pools, risk management, derivatives,…

CryptoDeFiArbitrageOn-chain data
Amberdata research

The report argues that a sharp Bitcoin price decline and ETF redemptions reflected a concentrated unwind of cash and carry positions rather than broad institutional capitulation. It explains the trade: hold spot Bitcoin or ETF shares while shorting futures…

CryptoArbitrageCarryPerpetual futures
Amberdata research

The document introduces Rho Protocol as an on-chain venue for trading crypto-native interest rates, especially perpetual funding rates and staking rates. It describes fixed-for-floating contracts as a way to hedge exposure to changing rates, similar to…

CryptoFuturesArbitrageCarry
Amberdata research

This article explains how derivatives can hedge existing crypto holdings or express views on future prices, and how market data can inform those decisions. It describes monitoring open interest and trading volume for clues about liquidity and changes in…

CryptoDerivatives pricingRisk managementArbitrage
Amberdata research

The article surveys how market and blockchain data may inform long-term crypto investing and short-term trading. For fundamental research, it lists measures such as market capitalization, supply, trading activity, network use, token holders, velocity, total…

CryptoOn-chain dataTechnical indicatorsArbitrage
Amberdata research

This market snapshot examines a broad crypto selloff alongside macroeconomic and policy developments. It tracks spot prices, realized volatility, trading volume, open interest, funding, ETF flows, stablecoin supply, order-book depth, and DeFi liquidations.…

CryptoVolatilityPerpetual futuresMarket microstructure
Amberdata research

This market snapshot combines price action with ETF and stablecoin flows, derivatives positioning, funding rates, open interest, orderbook depth, spreads, and volatility. It interprets the period as consolidation: Bitcoin and Ether held up better than…

CryptoPerpetual futuresArbitrageMarket microstructure
Amberdata research

This article outlines how institutional crypto teams can assess whether their market and on-chain data coverage supports trading, research, compliance, and risk work. It links potential data gaps to symptoms such as missed arbitrage opportunities, difficulty…

CryptoArbitrageBacktestingRisk management
Amberdata research

This podcast recap discusses crypto derivatives and volatility, including the Ethereum Dvol index, differences between Ethereum and Bitcoin volatility, volatility spikes, and a Butterfly Index. It also considers how news and regulatory developments may…

CryptoOptionsVolatilityArbitrage