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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

TqSdk

This example implements an intraday breakout strategy around the prior session’s high and low. It opens a long position when the latest price rises above the prior high and a short when it falls below the prior low, targeting a fixed position size in either…

FuturesBreakoutTrend followingRisk management
TqSdk

The script describes a two-sided futures strategy on hourly bars. It identifies confirmed swing low and swing high fractals, then enters long when price breaks above a bullish fractal’s high during a short-over-long moving-average uptrend. It enters short…

FuturesCommoditiesTrend followingBreakout
TqSdk

This example implements a futures Turtle-style trend-following system. It enters long when price breaks above a prior Donchian channel high and short when price breaks below the channel low. Position size is based on account balance, contract multiplier, and…

FuturesTrend followingBreakoutVolatility
TqSdk

This example presents a basic futures strategy using daily Bollinger Bands. It calculates the 26-period bands with a parameter of 2, enters long when the latest price rises above the upper band, and enters short when it falls below the lower band. The target…

FuturesBreakoutTechnical indicatorsPosition sizing
TqSdk

This trading script implements a daily Keltner Channel strategy for a CFFEX index futures contract. It calculates an 8-period exponential moving average as the channel center and uses a 7-period average true range with a 1.5 multiplier to set the bands. A…

FuturesTrend followingBreakoutTechnical indicators
TqSdk

This code example implements an intraday R-Breaker strategy for a futures contract. It calculates seven reference levels from the previous daily bar: a pivot, breakout thresholds, setup levels, and reversal entry levels. When flat, price crossing a breakout…

FuturesBreakoutMean reversionTechnical indicators
TqSdk

This code example implements an intraday R-Breaker strategy for a futures contract while allowing positions to remain open overnight. It calculates a pivot and six reference levels from the prior daily bar: breakout thresholds, observation levels, and…

FuturesBreakoutTrend followingTechnical indicators