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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
WonderTrader
14 documents
Alphalens
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

Amberdata research

The article explains how tokenization can represent fractional claims on real-world assets such as real estate, commodities, collectibles, private credit, equities, and intellectual property. A custodian or other trusted entity holds the underlying asset…

CryptoDeFiOn-chain dataMulti-asset
SuperMind

The document proposes a Chinese stock screen combining market capitalization below 10 billion yuan, no reported losses, a convertible-bond-related name field, and at least five moving averages that converge. It suggests using 5-, 10-, 20-, 50-, and 200-day…

China marketsEquitiesTechnical indicatorsTrend following
MQL5 code base

The document describes an indicator that expresses average true range (ATR) as a percentage of an instrument’s price. Showing typical candle movement in percentage terms is intended to make volatility easier to compare across symbols with different price…

VolatilityTechnical indicatorsRisk managementCrypto
SuperMind

The document describes a Chinese equity screen that combines a daily price range threshold, current trading volume above 10,000 lots, a high opening price, and at least one limit-up event within the preceding 25 days. It presents these conditions as a way to…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screen combines an RSI threshold below 65, a product of price change and a large-order flow measure, and membership in the metaverse theme. The article presents the components as technical, capital-flow, and market-theme filters. It…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines amplitude above 1, exclusion of stocks marked ST, selection before 10 a.m., a five-session closing-price high, and positive return. Its sample implementation estimates amplitude from the day’s high and low relative to the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document explains backtesting as the simulation of a strategy on historical market data to assess returns, risk, and stability. It outlines a workflow from obtaining and checking data, coding rules, and setting dates, capital, fees, and slippage through…

BacktestingRisk managementPortfolio constructionExecution
ProRealCode

This document describes an indicator that turns unusually long candle wicks into supply and demand zones. It measures each upper and lower wick relative to price, scales the measurement against the largest wick in a rolling window, and uses a threshold to…

Technical indicatorsMean reversionBreakoutRisk management
BigQuant

The report argues that ranking fund managers can reduce redundant information when one manager oversees several similar funds. It proposes tracking manager style across market capitalization, value versus growth, industry concentration, individual-stock…

EquitiesChina marketsFactor investingPortfolio construction
Hummingbot docs

The document explains how to configure and launch V2 strategies in Hummingbot. Configurable scripts can be started from YAML configuration, while controllers are loaded through a wrapper script that can list one or more controller configurations. Controllers…

CryptoTechnical indicatorsMean reversionGrid trading
OctoBot

This document explains an index trading mode that maintains a portfolio across a configured set of cryptocurrencies. When the bot starts, it checks which assets are held and their portfolio weights. If an asset is missing or its weight differs from the…

CryptoPortfolio constructionRisk managementSpot markets
BigQuant

This article presents a multi-asset allocation framework that combines traditional asset selection with allocation to systematic factors. It maps macroeconomic variables and style factors to asset classes, estimates exposures with time-series regressions,…

Multi-assetFactor investingPortfolio constructionBacktesting
BigQuant

This research note discusses how to turn equity alpha signals into portfolio forecasts and combine multiple factors. It suggests converting factor z-scores into expected returns using average results from repeated cross-sectional regressions, and favors…

EquitiesFactor investingStatisticsPortfolio construction
FMZ forum

This article discusses practical decisions for running systematic strategies live, including how to enter a system initially, define the active futures contract during roll periods, choose markets, manage capital, handle outages or unexpected events, prepare…

FuturesRisk managementPosition sizingExecution
Amberdata research

The document outlines ways institutional investors can use blockchain data to study digital asset activity. Aggregated wallet balances, transactions, network fundamentals, and cross-chain flows can help teams monitor portfolio exposure, protocol adoption,…

CryptoOn-chain dataDeFiRisk management
BigQuant

This essay argues that traders can accelerate learning by studying experienced practitioners’ actual trade records and decision patterns instead of relying only on abstract explanations or repeated personal trial and error. It recommends choosing examples…

Risk managementPosition sizingBacktesting
BigQuant

This overview introduces risk parity as an asset-allocation approach and places it alongside the classical mean-variance framework. Mean-variance optimization seeks portfolios that maximize expected return for a given risk level or minimize risk for a target…

Multi-assetPortfolio constructionRisk management
FMZ forum

This tutorial develops a spot-style cryptocurrency grid strategy by extending a finite set of price levels as the market moves beyond its upper or lower boundary. It tracks the current and previous ticker prices to detect upward and downward crossings. At an…

CryptoGrid tradingBacktestingRisk management
SuperMind

This proposed Chinese equity screen combines a trading-range threshold above one percent, return on equity above 15 percent in each of five consecutive years, and at least one limit-up event in the preceding 25 days. The stated rationale pairs a volatility…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock screen combines three filters: daily trading range above one percent, at least two limit-up events during the past 500 days, and ranking by a heat measure from highest to lowest. The accompanying rationale treats a larger range as a sign of…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed stock screen combines a next-day increase in the share of added positions above 5% with a prior day’s 9:15 matched price at the limit-down level, and restricts the period to 2021. The article interprets the position increase as a sign of…

EquitiesChina marketsSentimentRisk management
SuperMind

This Chinese-language note describes a stock screen using three filters: amplitude above 1, more than one year since listing, and a rising 30-day moving average. It presents amplitude as a way to find stocks with some activity, the listing-age rule as a way…

EquitiesTechnical indicatorsTrend followingRisk management
Kraken Learn

The document describes borrowing against SOL to access liquidity or buying power without selling the asset. The SOL remains pledged as collateral while the loan is open, so the borrower retains price exposure, and the collateral is released after repayment.…

CryptoRisk managementPosition sizingSpot markets