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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

Cryptohopper blog

This introductory guide surveys active and passive approaches to cryptocurrency trading. Its active strategies include day trading, swing trading, trend trading, and scalping. It distinguishes them by holding period, monitoring demands, and the kinds of…

CryptoTrend followingMomentumMarket microstructure
SuperMind

This note proposes screening stocks with RSI below 65, a rising MACD signal line (DEA), and a shortening negative MACD histogram on a 15-minute chart. It gives standard MACD and RSI parameter references and a Python example that iterates through stocks,…

EquitiesTechnical indicatorsMomentum
SuperMind

This proposed Chinese equity screen looks for robot-concept stocks with an intraday amplitude above 1%, circulating market value below 10 billion, and an opening auction gain between -2% and 5%. The article’s proposed refinement adds a requirement that the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening idea combines a 14-period RSI below 65 with year-over-year growth in parent-company net profit above 20% and no more than 100%. It also requires a daily gain above 1% and focuses on main-board stocks. The intended combination is a…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese-language post describes a stock-selection screen for shares whose codes begin with 60, whose daily high-to-low range exceeds one percent of the opening price, and where the KDJ indicator has just formed a bullish cross. The post explains the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection example filters Chinese equities by a turnover rate between 3% and 12%, a K indicator below 20, and a daily price change between -5% and 2.6%. The article presents the screen as a way to find stocks with potential, then suggests adding…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The document describes a daily screen for stocks in the metaverse industry. It selects names where the KDJ indicator has just crossed into a bullish configuration, ranks them by that day’s opening auction amount, and keeps the top five. The approach combines…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes a Chinese stock screen focused on the metaverse sector. It looks for three concurrent bullish crossovers: MACD over its signal line, the 5-day moving average over the 10-day average, and the 5-day average over the 20-day average. It…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document presents an equity selection rule that combines a positive MACD signal, a 20-day moving average above the 120-day moving average, and year-over-year parent-company net profit growth above 20% and up to 100%. Its example implementation scans…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note outlines a daily stock screen combining a positive MACD reading, a share price below a stated ceiling, and a measure of trading activity based on the prior day’s turnover rate and the ratio of current auction volume to the previous day’s volume. It…

EquitiesTechnical indicatorsMomentum
SuperMind

This brief template note describes a stock-screening strategy that selects companies using natural-language queries. Its example combines a small-market-cap screen with recent net inflows from large investors, a prior period of contracting volume, and a…

EquitiesMomentumTechnical indicatorsRisk management
ProRealCode

This proposed EUR/USD strategy combines Bollinger Bands, a conventional RSI, a Traders Dynamic Index (TDI), and a custom ATR-based stop line. Long setups begin when price and the momentum measures reach specified lower extremes; the system then waits for the…

ForexTechnical indicatorsMean reversionMomentum
MQL5 code base

This indicator description outlines a semaphore-style signal based on divergence between fast and slow Commodity Channel Index oscillators. It compares the oscillators at extreme points within the most recent five bars and requires a suitable candlestick…

Technical indicatorsMomentumStatistics
SuperMind

The document outlines a stock screen that selects companies in a designated metaverse category, requires a positive recent return, and excludes firms listed for less than a chosen period. Its rationale is to combine thematic exposure and recent performance…

EquitiesMomentumTechnical indicators
SuperMind

This post describes a rule-based screen for Chinese main-board stocks. It selects shares with turnover between 3% and 12%, a daily gain above 1%, and a circulating share count no greater than 5.5 billion. The stated intent is to combine trading activity,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language stock screen combines an amplitude threshold above 1, a ranking among the five highest stocks by the day’s auction amount, and a rising K value from the KDJ indicator. Its rationale is to find stocks with larger price movement and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection post proposes combining three filters: an increase in holdings share above a stated threshold, weekly MACD above its zero line, and at least two limit-up sessions within a stated lookback period. The accompanying explanation treats these…

EquitiesMomentumTechnical indicatorsFactor investing
SuperMind

This post presents a Chinese stock-selection screen using three main conditions: RSI below 65, float market capitalization between 5 billion and 10 billion yuan, and positive net buying attributed to major participants during the opening auction. Its Python…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection method screens Chinese equities using three filters: a 14-period RSI below 65, a ten-day price gain above zero but below 35%, and a ranking by individual-stock popularity. The accompanying Python example additionally considers stocks…

EquitiesTechnical indicatorsMomentumChina markets
ProRealCode

This indicator marks upward and downward breakout signals by comparing the Force Index, calculated from closing prices, with Bollinger Bands applied to that index. A reading at or above the upper band produces a positive signal shown in green; a reading at…

Technical indicatorsBreakoutMomentum
SuperMind

This Chinese equity screen looks for stocks in the metaverse sector whose prior-day price is above the 250-day moving average while MACD was below zero two days earlier. The intended combination is sector exposure, a long-term price trend filter, and a…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This indicator displays the current Relative Strength Index alongside RSI calculated on a second, user-selected timeframe. Its period parameter controls the RSI calculation length, while a separate timeframe parameter selects the additional interval. The…

Technical indicatorsMomentum
SuperMind

This Chinese equity screen combines three conditions: daily high-low range relative to the opening price above 1%, a ten-day return above zero and below 35%, and bullish technical filters. The accompanying Python example calculates moving averages of the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen combines a price-amplitude threshold, a low K-line reading described as an oversold condition, and MACD above its zero line. The stated rationale is to find active stocks that may be oversold while retaining an indicator associated with an…

EquitiesTechnical indicatorsMomentumBacktesting