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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

15 documents

Amberdata research

This strategy-sharing article describes an enhanced China Securities 150 equity approach that blends model-based stock ranking with technical timing. The universe is manually narrowed to roughly 100–300 large, liquid constituent-style stocks. An AI model…

EquitiesMachine learningMomentumTechnical indicators
Amberdata research

This Chinese-language post describes a stock screen for the metaverse theme. Its initial conditions select shares with previous-day turnover above 8% and price above the five-day moving average. It then refines the screen by adding a MACD crossover…

EquitiesChina marketsTechnical indicatorsMomentum
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

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 post outlines a Chinese equity screen that combines an amplitude threshold, a proxy for institutional buying, and a recent large daily gain. The intended logic is to find volatile stocks attracting institutional interest that have also shown a strong…

EquitiesVolatilityMomentumTechnical indicators
Amberdata research

The document describes a Chinese equities screening idea focused on stocks in the metaverse industry. It combines a price trend condition, expressed through a five-day moving average, with a condition that today’s increase in volume relative to share capital…

EquitiesChina marketsTechnical indicatorsMomentum
Amberdata research

This research summary compares high-frequency factors built from minute data in stocks and futures. It groups signals into return-distribution measures, intraday volume patterns, price-volume relationships, order-flow measures, and trend strength. Reported…

EquitiesFuturesHigh-frequency tradingFactor investing
Amberdata research

The article describes a short-term stock screen for companies classified in the metaverse theme. It selects stocks that appeared on the previous day’s trading leaderboard and had turnover between 2% and 9%. The stated rationale is to combine a current…

EquitiesMomentumExecutionRisk management
Amberdata research

The newsletter combines a macro outlook with crypto market and options observations. It links the author’s expectation of a September rate cut and easing cycle to a base case of higher crypto prices, while noting uncertainty around the election and upcoming…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market snapshot argues that Bitcoin could benefit from anticipated U.S. regulatory changes, a proposed strategic reserve, supportive congressional sentiment, and lower interest rates. It combines this policy outlook with several market indicators: a…

CryptoMomentumOn-chain dataSentiment
Amberdata research

This educational article develops a hypothetical Bitcoin strategy in Backtrader using market prices, volume, and a stock-to-flow valuation series. It enters when the MACD signal crosses above zero while a short-to-long simple moving-average comparison still…

CryptoMomentumBacktesting
Amberdata research

The article proposes a Chinese equity screen combining amplitude above one, a ranking by net large-order volume, and at least two limit-up events within a 500-day window. It presents volatility as a source of short-term trading opportunities, large-order…

EquitiesChina marketsMomentumTechnical indicators
Amberdata research

This weekly market commentary links a softer U.S. inflation reading and weak retail sales to improved expectations for a soft landing and a rally in precious metals. It argues that gold and silver strength could support crypto, while a possible U.S. crypto…

CryptoOptionsVolatilityMomentum
Amberdata research

This newsletter discusses a period when Bitcoin, Ether, and Solana rose as broader volatility eased, then focuses on a large block sale of Solana calls with a $200 strike and May 30, 2025 expiration. The author speculates that the seller may hold Solana and…

CryptoOptionsVolatilityMomentum
Amberdata research

The article compares estimated cost bases across 11 spot Bitcoin ETF issuers to argue that aggregate figures hide uneven exposure to losses. It highlights Fidelity as a low-cost-basis buyer, BlackRock as the largest holder with a higher break-even level, and…

CryptoSpot marketsRisk managementStatistics