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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

29,558 documents

BigQuant

This stock-screening proposal selects companies assigned to a metaverse industry category, requires a positive return condition, and looks for at least one limit-up event during the preceding 25 days. It gives both a platform formula and a Python-oriented…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This BigQuant example builds a daily Chinese equity strategy using a filtered stock universe and recent volume ratios. It screens stocks in the CSI 1000 universe across several board segments, excludes suspended and special-treatment stocks, and applies…

EquitiesChina marketsTechnical indicatorsBacktesting
Stratmill research code

This reference explains how information theory can measure dependence between variables, including asset returns. It introduces entropy as uncertainty, then defines mutual information as the reduction in uncertainty about one variable from observing another.…

StatisticsPortfolio constructionRisk management
Hummingbot docs

This Hummingbot guide explains how to cap the amount of a token that bots may use from an exchange or wallet. The feature is useful when multiple bots share an account and token, since it can constrain each bot’s usable balance. The guide describes setting a…

CryptoMarket makingRisk managementPosition sizing
Amberdata research

This weekly crypto market snapshot combines regulatory and company news with indicators of institutional activity and derivatives positioning. It covers the launch of XRP and Dogecoin ETFs, Tether’s U.S.-focused stablecoin, a large corporate Solana purchase,…

CryptoFuturesSentimentMarket microstructure
SuperMind

This Chinese-equity screening proposal combines daily price range, profitability, and the previous session’s price-limit status. Its initial rule selects stocks with an intraday high-low range above one, return on equity above 15% for each of five years, and…

EquitiesChina marketsFactor investingRisk management
MQL5 code base

This short description introduces a variation of the Deviation Stops indicator and suggests using its plotted values as support or resistance levels. It distinguishes this version from the Kase DevStops indicator, noting that the two are calculated…

Technical indicatorsTrend followingRisk management
SuperMind

This Chinese equity screening proposal combines membership in the metaverse industry, a newly formed KDJ bullish crossover, and a dividend-related threshold above 25% based on 2019 data. It also specifies selecting before 10 a.m. for same-day trading. The…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This Chinese equity screening idea combines daily price amplitude above 1%, RSI below 65, exclusion of ST-designated stocks, and a “five-part limit-up” condition. The accompanying indicator references describe counting at least five limit-up events and at…

China marketsEquitiesTechnical indicatorsMomentum
Kraken Learn

This survey reports how U.S. crypto holders perceive tax complexity and how tax concerns influence their investment choices. Respondents commonly expressed concern about effects on returns, confusion over reporting, rates, staking, and rewards, and…

CryptoRisk managementStatisticsUS markets
MQL5 code base

The document lists configurable parameters for a trading Expert Advisor, including lot size, stop loss, take profit, fast and slow moving averages, trade limits, and equity risk controls. It describes options for running the EA as either a single-trade…

ForexTechnical indicatorsGrid tradingPosition sizing
MQL5 code base

The document reports a historical test of a long-only EURCHF strategy on 15-minute bars, covering a short period in early 2014. Its listed settings include one-lot trades, a stop loss, a take profit, and a trailing stop. The report shows 67 completed trades,…

ForexBacktestingRisk managementExecution
QTPyLib

The document explains three QTPyLib utilities for working with Interactive Brokers futures. A tuple-generation helper builds a valid contract specification from a symbol, expiry, and optional exchange. Another helper selects the most active contract using…

FuturesPosition sizingRisk management
SuperMind

This document outlines a technical stock screen combining a daily price-range threshold, a morning-star candlestick condition, and a current low below the prior day’s low. Its formula reference expresses these conditions as a single filter. The accompanying…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This document summarizes an investment research paper on incorporating environmental, social, and governance risks into emerging-market analysis. Its central argument is that these markets can be more exposed to issues such as extreme weather, resource…

EquitiesRisk managementPortfolio construction
SuperMind

This document describes a daily screen for stocks in the metaverse industry. It looks for a newly formed KDJ bullish crossover and requires a minimum period since listing; the proposed routine selects candidates before 10 a.m. The screen also includes…

EquitiesChina marketsTechnical indicatorsMomentum
OctoBot

Dollar-cost averaging (DCA) invests a fixed amount at regular intervals regardless of market price. The approach buys more units when prices are lower and fewer when they are higher, spreading entry points over time. The document presents it as a way to…

CryptoPosition sizingRisk managementSpot markets
SuperMind

This Chinese-language post describes a stock screen combining three conditions: prior-day amplitude above 1%, tradable share count no greater than 5.5 billion, and a K value below 20. The K measure places the latest close within the preceding 20-session…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

The post proposes a U.S. ETF portfolio with fixed target weights: 30% in long-term Treasury exposure, 25% in gold, 20% in intermediate-term Treasury exposure, 15% in a triple-leveraged Nasdaq-100 fund, and 10% in a double-leveraged S&P 500 fund. It asks for…

Multi-assetPortfolio constructionPosition sizingUS markets
BigQuant

The document explains beta as an asset’s sensitivity to market returns and gives the covariance of asset and market returns divided by market-return variance as its calculation. It illustrates the calculation with a short set of monthly portfolio and…

StatisticsRisk managementFactor investing
MQL5 code base

The New Martin expert advisor begins by opening opposite buy and sell positions in an account configured for hedging. When a position closes at take profit, the system opens a replacement position in the same direction. This can leave a losing position…

ForexTechnical indicatorsPosition sizingRisk management
SuperMind

This article describes a basic A-share stock screen combining turnover, company size, profitability, and a short-term price condition. It filters for turnover between 3% and 12%, market capitalization below 10 billion yuan, positive net income, and a…

EquitiesTechnical indicatorsChina marketsRisk management
BigQuant

This brief support exchange addresses whether StockRanker’s tree model can use L1 or L2 regularization and how to improve model stability. The response says that StockRanker does not currently expose regularization as a way to prevent overfitting. It…

Machine learningRisk management
Jesse

This report gives simulated results for the IFR2 strategy on Binance UNI-USDT candles at a one-hour interval, covering October 1, 2020 through April 1, 2021. It records 83 closed trades, all long, with a reported net profit of 16,466.17 from a starting…

CryptoBacktestingMomentumRisk management