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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

vn.py community

The discussion clarifies that maximum drawdown duration measures how long the strategy remains in its largest drawdown. It distinguishes the time span of a decline and recovery from the size of the loss itself, which is what the maximum drawdown percentage…

BacktestingRisk management
Amberdata research

The article argues that a sharp selloff in World Liberty Financial Token (WLFI) preceded a broader cryptocurrency decline and may have offered an early warning of market stress. It highlights a reported surge in WLFI trading volume after tariff news,…

CryptoMarket microstructurePerpetual futuresVolatility
Qlib

This overview introduces reinforcement learning as a way to learn sequential decisions by interacting with an environment and maximizing accumulated reward. It outlines the agent, environment, policy, and reward, and explains how delayed feedback differs…

Machine learningExecutionPortfolio constructionRisk management
SuperMind

This Chinese stock-selection note describes a screen that ranks companies by descending capital strength, limits turnover to a band above 2% and below 9%, and selects firms with market capitalization under 10 billion yuan that are not loss-making. It…

EquitiesChina marketsTechnical indicatorsRisk management
ProRealCode

This indicator description presents market strength as a way to distinguish directional trends from weak, range bound conditions. Its supplied logic uses the Average Directional Index (ADX) to mark changes in trend strength and a stochastic oscillator to…

Technical indicatorsTrend followingMomentumRisk management
SuperMind

This document outlines an equity screen combining a daily high-low range threshold, five consecutive years of return on equity above 15%, and institutional ownership. Its refined rule translates the institutional buying idea into a minimum holding of 100,000…

EquitiesFactor investingRisk management
SuperMind

The document describes a Chinese stock selection approach that targets companies associated with the metaverse, requires a positive institutional-flow measure, and excludes stocks described as having hit the daily price limit on the prior day. The proposed…

EquitiesChina marketsSentimentEvent-driven
TqSdk

This example implements a daily mean-reversion strategy for a Shanghai Futures Exchange gold contract. It calculates a Z-score from recent closing prices, enters long when the score falls below a negative entry threshold and short when it rises above a…

FuturesCommoditiesMean reversionStatistics
BigQuant

This report reviews the relative performance of Chinese quantitative equity funds and considers what rising assets under management mean for strategy design. It attributes the period’s advantage for index-enhanced and quantitative long products largely to…

China marketsEquitiesFactor investingPortfolio construction
vn.py community

The post asks how to keep local records of live trading activity, including daily fills and account or funding information, in files or a database. The reply points readers to VeighNa’s portfolio management application documentation as a possible way to…

ExecutionRisk management
ProRealCode

This post describes an automated system for long and short positions, intended to work better on longer chart intervals, beginning at four hours. Long entries require a weighted rate-of-change measure and MACD to be rising while below zero, alongside a…

ForexFuturesMomentumTechnical indicators
ProRealCode

The document presents a ProRealTime version of the Kase Dev Stop indicator, described as a money management tool. It calculates a range measure from price highs, lows, and prior closes, then uses its recent average and standard deviation to produce a warning…

Technical indicatorsVolatilityRisk management
MQL5 code base

The described Expert Advisor monitors the combined profit of all open terminal positions across symbols and magic numbers. It waits until aggregate profit reaches a minimum threshold, then tracks a percentage drawdown from the highest profit reached. If…

Risk managementPosition sizingExecution
BigQuant

This research summary presents asset allocation as a continuing process: define investor objectives, set an investment strategy, implement it, and review performance. Objectives specify the desired return, acceptable risk, and other investor needs. The…

Multi-assetPortfolio constructionBacktestingRisk management
BigQuant

This overview describes several ways quantitative trading attempts to identify and capture market opportunities. It presents historical data analysis and backtesting as tools for assessing a strategy, then discusses automated execution, momentum examples,…

BacktestingMomentumArbitrageRisk management
NautilusTrader

This guide explains how NautilusTrader stores and accesses market data through a Parquet catalog backed by a Rust storage layer. It covers local and cloud storage, timestamp precision, compression choices, file organization, typed data queries, and…

BacktestingExecutionMarket microstructureRisk management
BigQuant

This report presents an A-share stock-selection framework that applies StockRanker, a gradient-boosted learning-to-rank model, to fundamental, financial, and trading factors. It tests 282 individual factors across short, medium, and long holding horizons,…

EquitiesChina marketsMachine learningFactor investing
MQL5 code base

This expert advisor uses the outcome of its last closed position to determine the next trade direction. After a take-profit exit, it seeks another trade in the same direction; after a stop-loss exit, it switches direction. It permits one open position and…

ForexTrend followingTechnical indicatorsRisk management
SuperMind

The document summarizes two ways to classify crowded equity holdings. For passive crowding, it first divides stocks into size groups using market-capitalization thresholds, then ranks them within each group by the rolling change in passive-fund ownership as…

EquitiesFactor investingMomentumRisk management
ProRealCode

This strategy compares each completed candle’s high-low range with the largest range among a user-defined number of preceding candles. When the new candle exceeds that reference range, it enters at the next candle’s open in the direction of the signal…

VolatilityBreakoutTechnical indicatorsRisk management
SuperMind

This document describes a Chinese equity screening rule that combines daily price range, turnover, and a prior-day indicator intended to represent dominant capital control. The stated thresholds are an amplitude above 1 and turnover above 2% but no more than…

China marketsEquitiesVolatilityTechnical indicators
MQL5 code base

This document describes an intraday XAUUSD strategy that looks for a wick to breach a confirmed swing high or low and then close back across it. The sweep candle defines an order block; a later candle must close through that zone with sufficient range to…

CommoditiesBreakoutTechnical indicatorsRisk management
Amberdata research

The document outlines Lyra V2 as a decentralized options venue that replaced its earlier automated market maker model with a gasless central limit order book and on-chain settlement. It describes an app-chain architecture based on an optimistic Layer 2…

CryptoOptionsDerivatives pricingRisk management
MQL5 code base

This description outlines an Expert Advisor that trades signals from a custom price-channel indicator. The indicator supplies two types of buy entry signals, two types of sell entry signals, and separate signals to close long and short positions. The EA has…

Technical indicatorsExecutionPosition sizingRisk management