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

79 documents

Amberdata research

This conference recap describes several developments in digital asset markets: valuing tokens against underlying revenue and rights, crypto-native venues affecting traditional markets, software agents transacting autonomously, and institutions connecting…

CryptoFuturesMarket microstructureExecution
Amberdata research

The article outlines ways decentralized finance and smart contracts could alter financial institutions beyond offering new digital asset exposure. It describes decentralized data storage as a possible way to reduce reliance on centralized data centers, and…

DeFiCryptoOn-chain dataExecution
Amberdata research

The article explains how an Ethereum contract can request off-chain data through Chainlink and use Amberdata as a source for market and blockchain information. It outlines the request lifecycle: fund the deployed contract with LINK, submit a request…

CryptoOn-chain dataExecution
Amberdata research

The article explains why investment managers entering digital assets need consolidated data on markets, liquidity, risk, and blockchain activity. Crypto trading is spread across global venues that operate continuously, with each venue using its own changing…

CryptoMarket microstructureOn-chain dataExecution
Amberdata research

The analysis compares Binance BTC/FDUSD order book behavior around six 2025 Federal Open Market Committee decisions: five rate holds and one cut. It tracks five-minute averages of volatility, bid-ask spread, depth, order book imbalance, and pressure…

CryptoMarket microstructureVolatilityExecution
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

This guide explains how to run a Python trading strategy backtest with LumiBot, choose a historical data provider, configure dates and sources, and review generated output. It describes ThetaData, Yahoo Finance, Polygon, custom Pandas data, and Polymarket…

BacktestingEquitiesOptionsCrypto
Amberdata research

This document introduces Curve as an automated market maker and lending protocol deployed on Ethereum and other layer 2 networks. Its pools can support multiple tokens, including tokens backed by underlying ERC-20 collateral. Multi-token pools may reduce the…

CryptoDeFiMarket microstructureExecution
Amberdata research

This webinar overview describes a panel discussion about the development of digital asset markets and institutional participation. Its topics include market structure, regulation, trading technologies, institutional entry, and practical approaches to trading…

CryptoMarket microstructureExecution
Amberdata research

This market commentary surveys crypto conditions around the period following Ethereum’s Shapella upgrade. It describes a permit-signature scam risk: gasless token approvals can look like ordinary wallet signatures, making it difficult for users to recognize…

CryptoExecutionMarket microstructureFutures
Amberdata research

This overview explains how a crypto derivatives portfolio can combine instruments with positive and negative delta to keep net directional exposure near zero. Traders may then focus on changes in implied volatility, time decay, or other option effects rather…

CryptoOptionsVolatilityRisk management
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 crypto market makers support trading by placing bids and asks around prevailing prices, seeking to earn the spread while keeping order books populated. It links two-sided quoting with faster execution, narrower spreads, reduced price…

CryptoMarket makingMarket microstructureExecution
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 research roundup describes several quantitative finance studies. One classifies equity trades by their short-term co-occurrence with other trades and standardizes associated order imbalances into conditional order imbalance measures. These measures…

EquitiesCryptoMomentumMachine learning
Amberdata research

The report explains how AAVE v2 liquidators repay part of an undercollateralized loan and receive collateral with a protocol bonus. It examines stablecoin debt backed by ETH from 2021 to 2023, relating liquidation activity to ETH price drops and volatility.…

CryptoDeFiOn-chain dataExecution
Amberdata research

This podcast recap describes Loop Crypto’s approach to recurring cryptocurrency payments. Because ordinary crypto wallets send funds through user-initiated transactions, collecting subscriptions is less convenient than card-based payment collection. Loop’s…

CryptoExecutionMarket microstructureDeFi
Amberdata research

The document analyzes a sharp crypto market selloff through price moves, liquidations, open interest, funding, order book depth, imbalance, and spreads. It describes a two-stage explanation: macro events first pushed prices lower, then leveraged positions…

CryptoPerpetual futuresMarket microstructureRisk management
Amberdata research

The report studies temporal changes in order-book depth and imbalance for Binance’s BTC/FDUSD market using minute-level data collected from July 1 to August 12, 2025. It describes an intraday depth peak around 11:00 UTC and a trough around 21:00 UTC,…

CryptoMarket microstructureExecutionStatistics
Amberdata research

The article summarizes research comparing cryptocurrency data providers and argues that raw data gains value from the context and presentation built around it. It distinguishes on-chain and off-chain sources, and describes how providers may differentiate…

CryptoMarket microstructureExecutionOn-chain data
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

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 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 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