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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

7 documents

Quant Q&A

The document discusses automating a momentum strategy that looks for equities reaching a new all-time high while excluding stocks whose high has been renewed on immediately successive days. The question contrasts retrieving and sorting the full price history…

EquitiesMomentumBreakoutExecution
Quant Q&A

The document describes a basic procedure for drawing a zigzag indicator from historical closing prices. The user chooses a percentage reversal threshold, which filters out smaller price moves. Starting from an initial price, the first move that crosses the…

Technical indicatorsBreakoutMomentum
Quant Q&A

This discussion shows how to implement upward and downward Bill Williams fractal indicators for use in R's quantstrat framework. The example identifies a local high or low by comparing a candidate bar with neighboring bars, then marks the detected pattern in…

Technical indicatorsBacktestingEquitiesBreakout
Quant Q&A

The discussion presents Bollinger Bands as a moving average surrounded by volatility-scaled bands and outlines competing ways to interpret band crossings. A breakout approach treats a move above the upper band as a possible continuation signal, with an exit…

Technical indicatorsEquitiesMean reversionBreakout
Quant Q&A

The document explains that the meaning of a futures market “open” depends on the session convention. Although electronic futures trade nearly around the clock, data services may mark the daily open at the prior evening’s reopen, a period described as…

FuturesBreakoutUS marketsBacktesting
Quant Q&A

The discussion considers how to identify a sideways price range that follows an upward move using OHLC data. One proposed geometric method first marks local highs and lows over a chosen time scale, then connects extrema with lines that do not cross the…

Technical indicatorsStatisticsBreakoutCrypto
Quant Q&A

The document introduces a channel breakout trend-following setup represented as a finite state machine. It describes two channel speeds: the slower channel supplies the entry signal, while the faster channel supplies the exit signal. This arrangement…

Trend followingBreakout