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

79,386 documents

FMZ forum

The essay argues that a strategy’s statistical edge depends on applying its rules consistently. It distinguishes knowledge of a method’s behavior and risks from knowledge of one’s own ability to follow it under pressure. A hypothetical stock entry missed…

Risk managementStatisticsExecution
Stratmill research code

This script builds a universe of Binance futures contracts using 24-hour ticker data and exchange metadata. It joins weighted average price and quote volume with contract onboarding date, price tick size, and order quantity constraints. It then excludes…

CryptoFuturesMarket microstructure
SuperMind

The document describes a stock screen that combines a daily amplitude threshold, appearance on the prior day's market leaderboard, and a weekly MACD condition above zero. It presents these as signals for short-term volatility, trading attention, and an…

EquitiesTechnical indicatorsMomentumBacktesting
MQL5 code base

This brief note describes a three-line MACD indicator that adds a smoothing curve to the conventional MACD display. It comments that intersections between the black and red lines may be useful even while the chart is moving sideways, and that the indicator…

Technical indicatorsMomentum
MQL5 code base

The document describes a smooth-step indicator as a way to map values into a normalized range from zero to one. It places the function among sigmoidal or clamping transforms and relates its behavior to the stochastic oscillator: the indicator produces a…

Technical indicatorsStatistics
SuperMind

This note presents a Chinese stock screen for companies classified in the metaverse theme, with positive net buying attributed to major participants during the auction and a share price below 12. The rationale is to combine a thematic category, an…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

This note describes a technical screen for Chinese stocks combining RSI below 65, seven consecutive sessions in which the close is below the open, and a rising DEA, the smoothed signal line of MACD. It interprets the RSI threshold as avoiding an overbought…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This document describes a MetaTrader indicator that identifies candles with relatively small real bodies compared with their full high-to-low ranges. By default, a candle qualifies when its body is less than half of the total range. The indicator marks…

Technical indicatorsMarket microstructure
BigQuant

This report summary presents a method for setting equity allocations across a retirement investment horizon when the investor has a specified terminal wealth goal. It works backward from that goal, optimizing allocations while controlling risk. Two objective…

Multi-assetPortfolio constructionRisk managementBacktesting
SuperMind

This note describes a Chinese A-share screening idea that looks for stocks whose opening price is near the 10-day moving average and whose several moving averages cluster together. It frames convergence among short and intermediate averages, such as the 5-,…

EquitiesTechnical indicatorsChina markets
FMZ forum

This glossary introduces twelve finance concepts spanning central-bank policy, corporate transactions, securities, valuation, and financial risk. It explains rediscounting and open-market operations as channels through which central banks influence liquidity…

Fixed incomeEquitiesOptionsRisk management
Alphalens

This notebook demonstrates an Alphalens workflow for evaluating a daily stock factor based on the gap between the prior close and current open. It defines an example universe of large-cap equities with sector labels, calculates the gap, and aligns the factor…

EquitiesFactor investingBacktestingStatistics
vn.py

This guide explains how to enable a trading gateway in VeighNa Station or load one from a startup script, connect through VeighNa Trader, and view account, position, order, trade, and contract information. Gateway settings can be edited in the application or…

FuturesOptionsEquitiesExecution
SuperMind

This Chinese equity screen selects stocks with turnover between three and twelve percent, at least one limit-up event in the preceding twenty-five days, and a 2019 dividend ratio above twenty-five percent. The article includes indicator logic and sample…

China marketsEquitiesMomentumFactor investing
MQL5 code base

This document describes a MetaTrader expert advisor built around signals from the Candels High Open indicator. The generated advisor can place market and pending orders and uses a Parabolic SAR based trailing stop. It requires both the signal module and the…

ForexTechnical indicatorsExecutionBacktesting
SuperMind

This Chinese equity screen combines four filters: daily amplitude above one, exclusion of ST-designated stocks, selection before 10 a.m., and a recent five-session closing high. It also requires the current close to exceed the prior five-, ten-, and…

China marketsEquitiesTechnical indicatorsMomentum
Amberdata research

This digital-asset market snapshot examines a broad selloff across Bitcoin, Ether, and altcoins through price changes, volatility, trading volume, open interest, funding, ETF and stablecoin flows, order-book depth, spreads, and DeFi liquidations. Its central…

CryptoMarket microstructureVolatilityRisk management
SuperMind

This Chinese equity screening note selects stocks with turnover between 3% and 12%, codes beginning with 60, and a newly formed KDJ golden cross, where the K line moves above the D line after being below it. The stated rationale combines a turnover filter…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This note introduces the Wave Period Oscillator (WPO), drawing on an article about time-cycle oscillators. It describes the indicator as a short-term measure of buying and selling periods within price cycles. When the oscillator crosses above zero, the…

Technical indicatorsMomentumTrend followingRisk management
SuperMind

This Chinese stock-screening note describes a rules-based approach that combines price movement, Bollinger Bands, company size, and profitability. It looks for stocks with above-average daily range, a close between the Bollinger middle and upper bands,…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This stock-screening idea combines a daily price-range filter with a weekly moving-average condition. It seeks shares whose high-to-low range exceeds one percent, whose weekly five-period average crosses above the ten-period average, and whose moving…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese stock screen selects companies associated with beverage and alcohol imports or exports, turnover between 3% and 12%, and large-order net flow above 0.05 for at least three consecutive days. The article interprets persistent positive flow as a…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

This Chinese equities screen narrows its universe to stocks classified in the metaverse sector, then looks for positive returns and high ranking by large-order net amount. The article presents the flow ranking as a way to identify potential buying interest.…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

This A-share stock screen combines daily price movement, relative trading activity, listing age, and the opening price. It selects stocks whose intraday high-to-low range is at least 1% of the low, whose volume is between 1.5 and 6 times its five-day…

EquitiesChina marketsTechnical indicatorsStatistics