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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

SuperMind

This document describes a China A-share screening idea that selects stocks associated with the metaverse theme, requires the close to be above a five-day moving average, filters for a daily gain greater than 1%, and restricts candidates to main-board…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post outlines a Chinese equity screen that requires daily amplitude above 1, turnover between 2% and 9%, and a rising KDJ K value. It presents these as technical filters intended to identify stocks showing activity and possible short-term strength. The…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

The Market Cycle Projection Engine turns a Wyckoff-inspired cycle model into a five-state indicator: Accumulation, Markup, Distribution, Markdown, and Transition. It classifies bars using normalized linear-regression slope, the ratio of fast to slow ATR, and…

Technical indicatorsTrend followingMean reversionVolatility
Amberdata research

This market commentary examines crypto options and spot-market conditions during the November 2022 FTX collapse. It argues that contagion concerns, thin liquidity, and possible abrupt news-driven moves made short-volatility positions especially exposed, even…

CryptoOptionsVolatilityMarket microstructure
SuperMind

This document describes a short-term Chinese equity screen combining daily amplitude above 1, a 9:25 price gain below 6%, and a stock price or average price above its five-day moving average. The intended rationale is to find stocks with some price movement…

EquitiesChina marketsTechnical indicatorsTrend following
Lumibot

The script demonstrates a classic allocation strategy that holds a portfolio with a target mix of 60% stocks and 40% bonds. It uses a drift rebalancer: when asset weights move away from their targets by a configured threshold, the strategy sells assets that…

Multi-assetPortfolio constructionBacktestingRisk management
BigQuant

This trading exercise translates a discretionary method into explicit stock-selection rules. A candidate must close above its five-day moving average for three consecutive days and remain within ten percent above its lowest price over the previous twenty…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

The report develops stock-selection factors from one-minute Chinese equity data, adding transaction counts to price and volume inputs. It examines average trade value and the direction of large-trade activity, then evaluates these signals both alone and…

EquitiesChina marketsFactor investingHigh-frequency trading
SuperMind

This note compares portfolio construction approaches, including equal weighting, market-cap weighting, and stratified sampling, with optimization methods such as mean-variance optimization, risk parity, target-risk, ABL, and tracking-error models. It…

EquitiesChina marketsPortfolio constructionRisk management
SuperMind

This proposed Chinese equity screen combines three conditions: daily price range above 1%, positive afternoon large-order net inflow, and growth in beverage and alcohol imports and exports. The note interprets the range and order-flow measures as signs of…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This note describes a simple Chinese equity screen combining daily price range, a recent high, and share supply. It selects stocks whose high is the highest of the current and prior day, whose daily range exceeds 1%, and whose tradable share count is no more…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This MetaTrader expert advisor generates buy and sell signals by comparing the current bar’s open price with moving average values from the current and preceding bars. It evaluates the conditions on every tick. When a signal appears in a direction that…

Technical indicatorsTrend following
SuperMind

This stock screen combines three conditions: daily amplitude above a stated threshold, no limit-up close on the previous day, and at least one limit-up event during the past month. The article frames larger amplitude as a way to find more active stocks,…

EquitiesChina marketsMomentumVolatility
MQL5 code base

XWAMI is a momentum indicator that displays a colored cloud to show trend direction. Its smoothing algorithm can be changed, allowing users to view the indicator with different smoothing methods. The document notes that the implementation relies on a library…

MomentumTechnical indicators
SuperMind

This Chinese equity screen combines three filters: at least five moving averages should converge, the price-to-earnings ratio must be positive, and the dividend payout ratio for 2019 must exceed 25%. The document interprets moving average convergence as a…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This proposed Chinese equity screen combines a relative strength index below 65 with price change and net activity from very large orders, plus a revenue growth test: 2021 revenue divided by 2018 revenue must exceed 1.1. The narrative presents these filters…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This platform guide distinguishes raw financial statement records from processed point-in-time (PIT) data and explains why the distinction matters in quantitative investing. Raw records are organized by instrument, report date, publication date, and change…

EquitiesChina marketsBacktestingStatistics
SuperMind

This document presents a Chinese equity screening rule that selects stocks whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose short and long moving averages show alignment. The initial description calls for at least five…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

This brief Chinese-language forum exchange concerns whether a user can retrieve feature importance from a random forest in a visual quantitative-strategy platform. The reply identifies the random forest module and suggests creating a visual strategy template…

Machine learningFactor investing
MQL5 code base

This document explains a custom Hull Moving Average indicator calculated from closing prices. For each bar, it computes weighted moving averages over the full period and half period, doubles the half-period average and subtracts the full-period average, then…

Technical indicatorsTrend following
MQL5 code base

This document describes an MQL5 expert advisor intended to manage already-open positions by closing them when profit or loss reaches a user-set threshold expressed as a percentage of account balance. It does not generate entries or determine when to trade,…

Risk managementExecution
FMZ forum

The document explains a high-frequency tactic called penny jumping through a limit-order-book example. A large visible bid may signal that an institutional buyer is willing to trade at a particular price. A faster trader can step one tick ahead of that bid,…

EquitiesHigh-frequency tradingMarket microstructureExecution
BigQuant

This monthly review compares equity factors using information coefficients (IC) and long-short returns. It reports that growth and turnover factors were relatively consistent over the preceding three months, while profitability and reversal results varied;…

EquitiesFactor investingStatisticsBacktesting
SuperMind

This Chinese equity screening proposal selects stocks in the metaverse theme, applies a circulating market capitalization threshold, and requires a positive institutional-holdings measure. The article explains institutional ownership as a possible signal of…

EquitiesChina marketsFactor investingRisk management