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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

4 documents

WonderTrader

This Wtpy CTA strategy calculates upper and lower intraday trigger levels from recent highs, closes, and lows, scaled by configurable parameters around the current bar's open. When flat, it enters long on an upper-level break and, for non-stock instruments,…

FuturesBreakoutTechnical indicatorsExecution
WonderTrader

This code describes a Dual Thrust style breakout strategy applied across a list of instruments. It calculates a reference range from prior bars using the highest high and close and the lowest low and close, then scales that range by separate parameters to…

FuturesBreakoutTechnical indicatorsExecution
WonderTrader

This code implements a Dual Thrust breakout strategy for a trading platform. It calculates a prior-period range from the highest highs, highest closes, lowest lows, and lowest closes across a configurable number of bars. The strategy scales that range with…

FuturesEquitiesBreakoutTrend following
WonderTrader

The document demonstrates a workflow for backtesting a Dual Thrust strategy and reviewing its performance with Pyfolio. It configures a CTA backtest engine, sets the date range and storage location, and creates a strategy instance with a futures contract,…

FuturesBreakoutBacktestingStatistics