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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

14 documents

QuantInsti blog

This project describes an automated strategy that uses live EURUSD prices to generate signals for EURUSD, USDCHF, and XOM. A long signal occurs when EURUSD rises above the highest close of the prior five days; a short signal occurs below the lowest close.…

ForexEquitiesBreakoutMomentum
QuantInsti blog

The document explains Donchian Channels, which mark the highest high and lowest low over a chosen lookback window, with a middle line derived from the two bands. It describes three breakout strategies: long-short, long-only, and long-only entries filtered by…

BreakoutTrend followingTechnical indicatorsBacktesting
QuantInsti blog

This introductory guide explains descriptive statistics and probability concepts using daily Apple stock data. It defines mean, mode, and median, then introduces range and standard deviation as ways to describe price levels and dispersion. It distinguishes…

StatisticsVolatilityTechnical indicatorsEquities
QuantInsti blog

The document outlines the classic bearish head and shoulders reversal pattern. It describes three successive peaks: an initial peak, a higher central peak, and a lower third peak. The neckline connects the intervening lows and is presented as a level to…

Technical indicatorsBreakoutTrend following
QuantInsti blog

This project describes an intraday strategy for Indian equities built around the first five-minute candle. It classifies opening candles into gap-up or gap-down patterns, reversal setups using Bollinger Bands and candle shadows, engulfing patterns, and…

EquitiesBreakoutTechnical indicatorsRisk management
QuantInsti blog

The article examines market effects associated with the early COVID-19 outbreak and the Russia–Saudi Arabia oil price dispute. It describes calculating average forward returns after historical drawdowns: compute cumulative returns and running peaks, identify…

EquitiesOptionsBreakoutVolatility
QuantInsti blog

The article describes collecting cryptocurrency price and volume observations at minute intervals, storing them for analysis, and accounting for delays caused by fetching data across many coins. It then presents a simple trend-following strategy that uses…

CryptoBreakoutTrend followingTechnical indicators
QuantInsti blog

The document introduces price action trading as analysis of raw price movements and chart patterns, with limited reliance on indicators. It surveys support and resistance, trend following, candlestick setups, breakouts, range trading, and analysis across…

Technical indicatorsBreakoutTrend followingRisk management
QuantInsti blog

The document introduces live trading as placing real orders in current markets, and distinguishes it from simulated practice. It surveys day trading, swing trading, momentum, breakout trading, and scalping, describing their typical holding periods or entry…

ExecutionRisk managementBacktestingTechnical indicators
QuantInsti blog

The article presents a simplified Turtle-style strategy coded for equities. It enters long when the close exceeds a recent rolling high and short when it falls below a rolling low, then exits when price crosses a rolling mean. Signals are carried forward to…

EquitiesTrend followingBreakoutBacktesting
QuantInsti blog

This study compares two systematic futures trend approaches across indices, bonds, currencies, and commodities: a one-year time-series momentum rule and a continuous-forecast framework inspired by systematic trading methods. The first takes long or short…

FuturesTrend followingMomentumBreakout
QuantInsti blog

Bollinger Bands pair a simple moving average with upper and lower envelopes set at a chosen number of standard deviations from that average. The guide explains how look-back periods and deviation settings shape the bands, and how band width can track…

Technical indicatorsVolatilityMean reversionBreakout
QuantInsti blog

The article explains momentum trading as taking a position in the direction of recent price movement and holding it until signs of reversal. Its worked example applies this idea to five-minute BTCUSDT candles: a close above the prior three-candle high…

CryptoMomentumBreakoutRisk management
QuantInsti blog

This project compares intraday futures strategies built from daily pivot levels. It calculates pivot points using classic, Camarilla, and Fibonacci approaches, then tests textbook support-and-resistance rules alongside two alternatives on one-minute data for…

FuturesTechnical indicatorsBreakoutBacktesting