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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

vn.py community

Peek+ is a configurable indicator that looks back over a window to find when the most recent highest high or lowest low occurred. It turns those offsets into separate streak measures associated with persistent upward and downward extreme-setting. A signal…

Technical indicatorsMean reversionBreakout
vn.py community

This tutorial explains how to convert a discretionary futures idea into a specification a program can follow. Its five elements are signal timeframe, entry rules, exit rules, position size, and behavior in edge cases. It emphasizes separating directional…

FuturesTechnical indicatorsBreakoutPosition sizing
vn.py community

This code walkthrough explains how a Dual Thrust strategy tracks each day’s opening price, high, and low. When a bar’s date differs from the prior bar’s date, it uses the accumulated previous-day range to set long and short entry levels around the new day’s…

BreakoutFuturesTechnical indicatorsExecution
vn.py community

The article introduces fair value gaps (FVGs) through patterns of three consecutive candlesticks. It calls the pattern balanced when the third candle’s range overlaps the ranges of the first two, and unbalanced when the third candle leaves a gap relative to…

Technical indicatorsMarket microstructureBreakout
vn.py community

The discussion describes a target-position CTA strategy that enters when a bar's high exceeds a breakout level and exits when its low falls below a stop. When both conditions occur within one bar, the strategy can enter, stop out, and then re-enter because…

FuturesBreakoutRisk managementExecution
vn.py community

This code describes a multi-contract futures strategy that combines daily contract selection with three-minute entry signals. It ranks instruments by trading activity relative to open interest and by daily range relative to the open, then permits new…

FuturesTrend followingBreakoutTechnical indicators