Skip to content

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

ProRealCode

This indicator seeks bullish and bearish divergences between price swings and a zero-lag MACD. It builds the MACD and its signal line from double-smoothed exponential averages, then tracks price highs or lows and corresponding MACD extremes around…

Technical indicatorsMomentumBacktesting
BigQuant

These course notes discuss practical ways to follow a stock strategy built around pullbacks after strong stocks hit their price limits and later rebound with market sentiment. They caution that entering after a strategy has recently risen can mean buying…

EquitiesMomentumRisk managementPortfolio construction
SuperMind

This stock screen combines a positive MACD value with a newly formed KDJ bullish crossover and a positive net profit filter. The document presents the combination as a way to find stocks with an upward trend, a short term buy signal, and a basic…

EquitiesTechnical indicatorsMomentum
SuperMind

This stock screen selects shares with an intraday high-low range above a stated threshold, a proxy for afternoon large-order net inflow, and a positive return from open to close. It frames the conditions as a way to find volatile stocks with apparent buying…

EquitiesMomentumTechnical indicatorsRisk management
BigQuant

This note presents a relative strength index calculation based on closing-price changes. It separates each change into its positive component and its absolute magnitude, then applies a smoothed moving average to each series. The ratio is transformed onto a…

Technical indicatorsMomentumStatistics
MQL5 code base

The Volume Flow Oscillator (VFO) is presented as an indicator derived from On Balance Volume and described in a 2004 issue of Technical Analysis of Stocks & Commodities. It uses volume-related calculations to produce a reading around a zero line. Positive…

Technical indicatorsMomentum
SuperMind

This post proposes a technical screen for Chinese equities that seeks high-amplitude, non-ST stocks before 10 a.m. It combines a five-day closing-price high with a rising-market filter based on short and longer moving averages and a MACD-style momentum…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

The document describes a style allocation approach that uses an illiquidity measure, called ILLIQ, to represent how much information is associated with each unit of trading value. It divides the stock universe into safer and riskier groups, then infers…

EquitiesFactor investingMomentumRisk management
SuperMind

This Chinese stock-screening post proposes selecting companies below a stated market-cap ceiling that have not reported losses, excluding stocks that hit the daily upper price limit on the previous session, and ranking candidates by trading-volume strength.…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document outlines a short-term Chinese equity screen using three signals: high relative trading volume, a daily decline bounded between four and five percent, and more than two limit-up sessions over the prior ten days. It ranks candidates by the…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This indicator combines three stochastic oscillators, with configurable periods and smoothing choices for their %K and %D lines. The first oscillator uses the chart timeframe, while the second and third can use selected higher timeframes. Higher-timeframe…

Technical indicatorsMomentum
SuperMind

The document describes a Chinese stock-screening approach that looks for daily price amplitude above 1%, a newly formed KDJ crossover, positive MACD confirmation, and net buying from large or extra-large orders during trading. The selected stocks enter a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening proposal combines three chart-based conditions: at least five moving averages converging, a rounded price shape, and an upward-sloping 30-day average. It suggests adding a MACD check and using multiple data sources. The article…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese stock screen selects companies associated with the metaverse theme, whose closing price is above the previous day’s low, and whose 9:25 gain is below 6%. The description interprets the close-versus-low condition as evidence of a favorable…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-selection proposal combines three filters: price amplitude above 1, a signal that large market participants controlled the stock on the previous day, and a current increase in positions exceeding 5%. The author interprets the control and…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This document describes a version of the Slow Stochastic indicator that lets the user select the timeframe used for its data through an input parameter. The example default is a four-hour period, allowing the indicator to display a stochastic calculated on a…

Technical indicatorsMomentum
ProRealCode

This indicator estimates buying and selling pressure from each bar’s price range and volume. A bull-bear balance calculation allocates volume between the two sides, then smoothed averages produce pressure series. The indicator compares buying pressure with…

Technical indicatorsMomentumMarket microstructureStatistics
SuperMind

The document describes a Chinese A-share screening idea combining MACD above zero, a signal interpreted as major-player control on the prior day, and large plus extra-large buying during the opening auction. It first proposes a combined auction purchase…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection screen combines daily price amplitude above one percent with a 2021 date filter and three moving average crossovers. It defines the crossover conditions using five-, ten-, and twenty-day averages, requiring the shortest average to cross…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This document describes a short-term A-share stock screen combining a 14-period RSI below 65, the product of daily price change and a proxy for large-order net activity, and a condition for three consecutive limit-up sessions. Its final stated selection…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

The document describes an intraday trend strategy for Chinese equity index futures, based on a reported persistent opening momentum effect. It defines a bullish sequence as rising opening, low, and closing prices across bars, and a bearish sequence as…

FuturesChina marketsMomentumTrend following
SuperMind

This stock selection method combines three filters: rank shares by volume ratio and retain the top 100, rank them by previous-day net inflow attributed to major investors and retain the top 100, and require the 20-day moving average to exceed the 120-day…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This screen selects stocks with turnover between 3% and 12%, a listing in the prior day's trading-rank data, and a current increase in holdings above 5%. The article presents these criteria as proxies for trading activity, notable investor participation, and…

China marketsEquitiesMarket microstructureMomentum