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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

4 documents

vn.py community

This post presents a Chinese equity screening idea that combines a MACD value above zero with year-over-year net profit growth between 20% and 100%, framed around 2021. It explains the intent as pairing price momentum with a fundamental growth filter. The…

China marketsEquitiesMomentumTechnical indicators
vn.py community

This stock screen selects non-STAR-market main-board equities with a 14-period RSI below 65 and a daily gain above 1%, then ranks candidates by capital strength, defined in the note as circulating market value divided by turnover. The proposed rationale is…

EquitiesTechnical indicatorsMomentumRisk management
vn.py community

The document describes a daily screen for stocks in the metaverse sector that have a newly formed KDJ golden cross and an opening gain below a stated cap. It proposes running the screen before 10 a.m. and selecting stocks for trading that day. The…

EquitiesChina marketsTechnical indicatorsMomentum
vn.py community

This VeighNa CTA strategy constructs a weighted price measure from the current bar close and several earlier closes, using coefficients that include Fibonacci-like weights. It compares the measure with an exponential moving average of that series and treats…

EquitiesTechnical indicatorsMomentumBacktesting