Skip to content

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

Jesse

This report summarizes a Binance BTC-USDT daily-candle backtest covering January 2019 through January 2021. The strategy recorded 155 closed trades and one open trade. The displayed metrics include an 89.77% net profit, 22.4% maximum drawdown, 37.64% annual…

CryptoSpot marketsBacktestingRisk management
Jesse

This document reports a two-year daily Bitcoin–USDT backtest on Binance, covering January 2019 through January 2021. The strategy is identified only as “AwesomeStrategy”; no entry or exit rules, position sizing, or execution assumptions are supplied, so the…

CryptoSpot marketsBacktestingRisk management
Jesse

This document reports a two-year backtest of an IFR2 strategy on BAT-USDT hourly candles from Binance, covering April 2019 through April 2021. The simulation records 249 closed trades, all long, and one open trade. It reports net profit of 30,380.8971 from a…

CryptoSpot marketsBacktestingRisk management
Jesse

This document reports a backtest of an IFR2 strategy on Binance NEO-USDT one-hour candles, covering January 2019 through April 2021. The simulation records 279 closed trades, a reported net profit of 17,204.8247 from a starting balance of 10,000, maximum…

CryptoSpot marketsBacktestingRisk management