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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

12,140 documents

BigQuant

This literature review explains time-series and cross-sectional momentum strategies applied to equity anomaly factors. The time-series approach buys factors with positive trailing returns and shorts those with negative returns; the cross-sectional approach…

EquitiesMomentumFactor investingStatistics
Hyperliquid docs

This literature review explains time-series and cross-sectional momentum strategies applied to equity anomaly factors. The time-series approach buys factors with positive trailing returns and shorts those with negative returns; the cross-sectional approach…

EquitiesMomentumFactor investingStatistics
SuperMind

The document presents a short-term stock screen based on price movement, trading activity, and the open relative to the prior close. Its stated criteria are amplitude above 1, a price or K-line measure below 20, current volume above 10,000 lots, and an…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, a daily gain above 1% relative to their sector, and a ratio of external to internal trading volume above 1.3. It combines trading activity, short-term price strength, and a simple…

China marketsEquitiesMomentumMarket microstructure
SuperMind

This proposed Chinese equity screen looks for non-special-treatment stocks in the metaverse sector whose opening price is near the 10-day moving average, with selection completed before 10 a.m. It then applies a multi-session limit-up pattern: consecutive…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document presents an A-share stock selection rule that combines turnover between 3% and 12%, a positive 10-day gain below 35%, and a pattern called “fanbao.” It describes that pattern as simultaneous declines in margin financing and short-selling…

EquitiesChina marketsSentimentMomentum
SuperMind

This screen selects stocks with MACD above its zero line, a closing price below the stated price limit, and a close above the open. The author interprets the MACD condition as a strength filter and the bullish candle as a sign of positive price action. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This selection rule screens stocks assigned to the metaverse industry for a positive latest-period return and a positive ten-day price gain below 35%. It combines an industry classification with recent price performance, aiming to identify names with both…

EquitiesChina marketsMomentumTechnical indicators
ProRealCode

The document presents a ProRealTime indicator that estimates price rate of change using weighted moving averages across the current timeframe and two higher timeframe proxies. Each rate line adds a scaled difference between a current weighted average and its…

Technical indicatorsMomentumStatistics
SuperMind

The document describes a short-term stock screening method combining RSI below 65, a rising KDJ K value, and moving-average conditions. Its code references compare the 5-day and 20-day averages and require price to be above the 60-day average. The…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This post proposes screening Chinese stocks associated with the robotics theme using price amplitude, recent performance, and a ceiling on free-float market value. Its written criteria require amplitude above a threshold and a positive but bounded return…

China marketsEquitiesMomentumTechnical indicators
BigQuant

This study examines macro momentum across stock markets and its use for timing Chinese equities. It differs from price-based trend following by using macroeconomic indicators to generate signals. For a universe of 24 country equity indexes, it considers…

EquitiesMomentumFactor investingPortfolio construction
SuperMind

This Chinese stock-selection proposal combines three filters: a 2019 dividend payout ratio above 25%, at least two limit-up sessions within 500 days, and convergence of the 5-, 10-, 20-, 60-, and 120-day moving averages. The post presents these as ways to…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This overview introduces several approaches to quantitative equity selection: multi-factor scoring, style rotation, industry rotation, capital-flow screens, momentum reversal, analyst-consensus signals, and trend following. It outlines how each approach…

EquitiesFactor investingMomentumTrend following
SuperMind

This Chinese-market stock screen selects non-ST main-board shares with turnover between 3% and 12% and a daily gain above 1%, then ranks the candidates by individual-stock popularity. The post also gives an example indicator formula and Python outline for…

EquitiesMomentumSentimentChina markets
SuperMind

This article describes a stock screen that combines metaverse industry membership, a newly formed KDJ bullish crossover, and growth in beverage and alcohol import-export figures. The technical signal is defined as the K line moving above the D line after…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article proposes screening stocks in the metaverse industry when their average price is above the five-day moving average and the current close is above the prior session’s low. It presents these conditions as short-term price-strength filters within a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article outlines a Chinese equity screening rule combining daily amplitude above one, a positive weekly MACD reading, and a high ranking for net large-order volume. It describes these conditions as a way to find volatile stocks with upward price…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This article sketches a Chinese stock-selection rule using MACD and price conditions. It describes screening for MACD above the zero line, a price below 12 yuan, and also states a share-price condition of 18.5 yuan. It says the scan is intended to run before…

China marketsEquitiesTechnical indicatorsMomentum
Kraken Learn

The document explains how traders read candlestick shapes and sequences as possible signals of changing market direction or pauses in an existing trend. It describes reversal formations such as pin bars, engulfing candles, stars, harami patterns, and…

CryptoTechnical indicatorsTrend followingMomentum
SuperMind

This post outlines a stock-selection rule using amplitude, three consecutive limit-up sessions on the previous day, and a historical limit-up condition tied to 2021. Its revised formulation specifies amplitude above 1.5% and requires a past limit-up price to…

EquitiesChina marketsMomentumBreakout
MQL5 code base

DayBulls is a version of the Bulls Power indicator whose calculation period is set automatically based on the number of bars in the current day. The description presents it for chart timeframes from one minute through one day and recommends it as an aid to…

Technical indicatorsMomentumEquities
MQL5 code base

The Dynamic Momentum Index is a variable-period form of the relative strength index. With the document’s default settings, its lookback ranges from 3 to 30 bars. The period shortens as price volatility rises, making the measure more responsive to short-term…

Technical indicatorsMomentumVolatility
SuperMind

This stock-selection screen combines three conditions: a relative strength index below 65, positive large-order net inflow in the afternoon, and more than two limit-up days in the recent ten-day period. The article presents the setup as a way to find…

EquitiesChina marketsMomentumTechnical indicators