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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

6 documents

Quant Q&A

The document asks how to choose the trade size that maximizes profit when exploiting a price difference between two constant-product market-making pools. Because each pool’s quoted rate changes with the amount traded, a small trade can receive a different…

ArbitrageMarket makingDeFiExecution
Quant Q&A

The discussion examines how to estimate a cryptocurrency yield curve when perpetual futures are the only obvious derivatives market. One answer emphasizes that a curve describes rates across maturities at a point in time; forecasting future funding rates is…

CryptoPerpetual futuresDerivatives pricingDeFi
Quant Q&A

The document asks why providing liquidity to Uniswap is described as a negative-gamma strategy. It frames liquidity provision as a dynamic exposure: traders exchange the pooled assets, so the provider’s holdings shift as the relative price changes. This…

CryptoDeFiMarket makingVolatility
Quant Q&A

The document introduces asset-backed securities (ABS) and mortgage-backed securities (MBS), including structures such as collateralized mortgage obligations and collateralized loan obligations. It frames these products as difficult for retail investors…

Fixed incomeDerivatives pricingDeFiRisk management
Quant Q&A

The document outlines failure risks for a synthetic-asset system in which users stake collateral to issue tokens tracking assets such as currencies, crypto, or stocks. It focuses on two vulnerabilities: collateral and debt dynamics, and dependence on…

CryptoDeFiOn-chain dataRisk management
Quant Q&A

The document explains TerraUSD’s failure as a problem in the relationship between its dollar peg and Luna, the associated cryptocurrency. In the simplified account, the system relied on reducing TerraUSD supply when holders sought to exit, with Luna serving…

CryptoRisk managementDeFi