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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

6 documents

Amberdata research

This weekly market review describes how a rally in Bitcoin and Ether affected realized and implied volatility, option skew, term structure, trading flows, and dealer gamma. It reports that volatility rose with spot prices, call premiums deepened—especially…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The commentary assesses a Bitcoin breakout alongside crypto options positioning and volatility, while contrasting Ethereum’s weaker price action. It links Bitcoin’s strength to a possible safe-haven narrative and reports that spot had moved above a long-term…

CryptoOptionsVolatilityBreakout
Amberdata research

This market commentary connects inflation and energy developments with expectations for Federal Reserve policy, then considers how upcoming macro events might affect crypto volatility. It reports mixed inflation readings, a slight reduction in expected rate…

CryptoOptionsVolatilityBreakout
Amberdata research

The proposed daily stock screen combines three filters: price range, at least two limit-up moves within a 500-day lookback, and a selected company type. The accompanying discussion says company characteristics may relate to financial performance, while…

EquitiesChina marketsBreakoutTechnical indicators
Amberdata research

This market commentary links a broad crypto rally to easing trade tensions and reviews options ideas in ETH, BTC, and SOL. It describes ETH/BTC relative strength, call spreads, SOL calls near a notable strike, and BTC options as a possible exposure to both…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The document outlines three ways to turn blockchain data into potential crypto trading signals: exchange flows, large wallet transfers, and network activity. It suggests treating rising inflows to decentralized exchange pools as possible selling pressure and…

CryptoOn-chain dataBreakoutSentiment