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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,140 documents

SuperMind

This stock-screening proposal combines three conditions: company market value below 10 billion yuan, no reported losses, and more than two limit-up days in the prior 10 days. It also seeks stocks with at least five moving averages converging, which the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock-selection example screens the metaverse industry for shares that recorded a price-limit gain within the previous 25 days and whose weekly price has crossed above its 30-week moving average. The stated process selects stocks on Mondays for…

EquitiesChina marketsTrend followingMomentum
SuperMind

The document presents a stock screen requiring a 14-period RSI below 65, three consecutive sessions in which the close is below the open, and a ten-day return greater than zero but below 35%. This combines a recent sequence of weak daily candles with a…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This post proposes screening mainland China main-board stocks for a daily trading range above one percent, weekly MACD above zero, and a positive daily move exceeding one percent. It frames the combination as a way to identify shares with short-term upward…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document outlines a stock-selection filter requiring a daily high-low range above one percent, a newly formed KDJ crossover, and a positive price-to-earnings ratio. The crossover is intended to identify a possible shift toward upward momentum, while the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection rule screens mainland Chinese main-board shares for turnover between 3% and 12%, a daily gain above 1% relative to the sector, and membership in the beverage and alcohol import-export industry or related industries. The article frames…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

The Price Zone Oscillator (PZO) is presented as a counterpart to the Volume Zone Oscillator, based on an article about entering the price zone. Its directional input is simple: a close above the prior close is treated as bullish, while a close that is not…

Technical indicatorsMomentum
SuperMind

This stock selection example screens companies in the metaverse industry for a newly formed KDJ bullish crossover and an opening price close to the ten-day moving average. The illustrated band places the open within five percent above or below that average.…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes a Chinese equity screening idea combining daily amplitude above 1%, membership in a robotics concept group, circulating market capitalization below 10 billion yuan, and signs of afternoon price strength and large-order net buying. It…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This broad guide surveys algorithmic trading approaches, including momentum, statistical arbitrage and pairs trading, market making, machine learning, and options. It outlines how each approach seeks opportunities: following trends, trading relative-price…

MomentumArbitragePairs tradingMarket making
SuperMind

This document outlines a stock screen targeting companies associated with the metaverse theme. It requires institutional activity to be positive and applies a weekly stochastic-style signal based on the relationship between K and D lines, with recent periods…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document describes an annual year-end screen for Chinese equities. It combines a positive MACD reading, positive trailing P/E, and ROE above 15% in each of the prior five years. The stated rationale is to pair a trend signal with positive earnings…

EquitiesTechnical indicatorsMomentumFactor investing
SuperMind

The strategy screens Chinese stocks for a daily amplitude above 1, evidence of main-force control on the previous day, and at least two limit-up sessions during the prior 500 days. The post presents these conditions as a way to find stocks with potential for…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-market stock screen combines four filters: RSI below 65, a daily gain greater than 1%, main-board listing, and positive institutional net buying. It ranks qualifying shares by institutional buying and proposes selecting the top five. The article…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post proposes screening stocks whose codes begin with 60, whose turnover rate lies between 3% and 12%, and whose price action is described as the start of a strong upward move. Its examples use price and range comparisons to approximate that technical…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-selection idea looks for daily price amplitude above 1%, three moving averages crossing upward in sequence, and positive large-order net inflow during the afternoon. The article treats the inflow as a possible indication of investor interest and…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

The Balance of Power indicator, attributed to Igor Livshin, aims to compare buyers’ and sellers’ ability to move prices toward extremes. Its raw readings range from minus one to plus one, and the values can be smoothed with a moving average. The supplied…

Technical indicatorsMomentumTrend following
SuperMind

This proposed Chinese stock screen combines three ideas: ranking by fund-flow strength, identifying a morning-star pattern in Kute Intelligent, and selecting loss-free companies below a stated market-cap ceiling. The article describes fund strength through…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock screen combines a daily price-range threshold, geographic and board exclusions, and a 15-minute MACD condition. Its stated aim is to find A-shares with a range above one percent while excluding Beijing-listed stocks and selecting for a shortening…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post proposes a Chinese equity screen requiring daily price amplitude above 1%, a high equal to the highest of the current and previous sessions, and circulating market capitalization between 5 billion and 10 billion yuan. It presents the rules as a way…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post proposes screening Chinese equities for market capitalization below 10 billion yuan, positive net income, MACD above its zero line, and three consecutive down days. It frames the combination as a way to pair a pullback pattern with a positive…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post describes a Chinese stock-selection screen that ranks stocks by capital intensity, then looks for a newly formed bullish KDJ crossover and a 20-day moving average above the 120-day average. It interprets the ranking as a way to identify stronger…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This screening idea selects stocks with a large price range, prior-day actual turnover between 3% and 28%, and at least one limit-up event in the preceding 25 days. The article presents these filters as a way to identify active shares that have recently…

China marketsEquitiesVolatilityMomentum