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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

SuperMind

This post describes a stock screen based on a trading-range threshold, three consecutive days of gains, and at least a year since listing. It presents the range condition as a way to find active stocks, the recent gains as a short-term strength signal, and…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This document presents a stock selection rule for Chinese companies classified in the metaverse theme. It screens for previous-day actual turnover between 3% and 28% and requires the daily MACD difference line to be above its signal line. The text explains…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-language article outlines an A-share stock screen combining market capitalization, turnover, a KDJ bullish crossover, and a prior-day opening call-auction price near the daily limit-down level. The final stated criteria require market value…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection approach screens companies in the metaverse sector for a bullish MACD crossover and a rising KDJ K value. The post also gives an example implementation that adds a market-cap range, though its code uses a KDJ-based RSI threshold and does…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This proposed A-share screen selects stocks with turnover from 3% to 12%, an opening price within roughly 5% of the ten-day moving average, a latest close at or above that average, and at least one limit-up event in the preceding month. The article frames…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection proposal filters for turnover between 3% and 12%, a rising DEA signal, and at least one daily gain of 10% or more during the previous 25 trading sessions. The article presents these conditions as a combination of trading…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed Chinese equity screen combines three conditions: at least five moving averages clustered near the closing price, floating market capitalization above 200 million, and more than two limit-up sessions within ten trading days. The article…

EquitiesChina marketsTechnical indicatorsMomentum
Qlib

This documentation explains formulaic alpha factors: signals represented as mathematical expressions that can be computed from market data. It uses MACD as an example, defining the signal from the difference between short- and long-period exponential moving…

EquitiesTechnical indicatorsMomentumMachine learning
Kraken Learn

This overview introduces rules-based crypto trading and distinguishes discretionary decision-making from systematic strategies that use indicators, algorithms, or automation. It explains dollar-cost averaging as recurring purchases at fixed intervals, then…

CryptoTechnical indicatorsBacktestingRisk management
SuperMind

The post describes a Chinese equity screening rule combining a 14-period RSI below 65, a specified range for tradable market capitalization, and a share price below 12. When at least five stocks meet the filters, the example selection function sorts…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese A-share screening idea combines three filters: daily price amplitude above a threshold, a minimum time since listing, and a MACD condition above the indicator’s zero axis. The article explains that amplitude is calculated from the day’s high and…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post outlines a Chinese stock screen for companies classified in the metaverse sector. It limits eligible stocks to those with circulating shares at or below 5.5 billion and excludes stocks that reached the upper price limit on the prior trading day. It…

EquitiesChina marketsMomentumRisk management
SuperMind

This post describes a Chinese equity selection screen with three filters: price amplitude above 1%, a ten-day price gain greater than zero but below 35%, and circulating market capitalization between 5 billion and 10 billion yuan. Its accompanying Python…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity selection rule filters stocks by trading activity, prior-day leaderboard appearance, and the latest daily price change. It seeks names with turnover between 3% and 12%, a positive leaderboard flag on the preceding day, and a daily return…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening post describes a three-part selection rule: rank stocks by volume ratio and keep the top 100, require weekly MACD to be above zero, and exclude stocks whose gain at 9:25 is 6% or more. The author interprets the filters as…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening idea selects stocks in the metaverse industry when their average price is above the five-day moving average and a weekly chart shows a red bar. It presents these conditions as signs of upward price momentum. The article also…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The strategy screens Chinese stocks in the beverage and alcohol import-export sector for a turnover rate between 3% and 12%, then ranks qualifying names by the day’s auction trading value and selects the top five. The document frames auction value as a…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-equity screen combines three conditions: rank stocks by volume ratio and retain the top 100, select stocks opening near the 10-day moving average, and require the 20-day moving average to exceed the 120-day average. The post interprets high…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This screening rule selects Chinese stocks when daily MACD is positive, the 20-day simple moving average is above the 120-day average, and amplitude exceeds the stated threshold of one. The post describes applying the conditions before the open to produce a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article presents a discretionary short-term approach to Chinese equities built around market narratives. It argues that traders should identify a compelling catalyst, assess whether expectations differ materially from current perceptions, and look for…

EquitiesChina marketsEvent-drivenMomentum
SuperMind

The document describes a stock screen that combines a daily amplitude threshold, appearance on the prior day's market leaderboard, and a weekly MACD condition above zero. It presents these as signals for short-term volatility, trading attention, and an…

EquitiesTechnical indicatorsMomentumBacktesting
MQL5 code base

This brief note describes a three-line MACD indicator that adds a smoothing curve to the conventional MACD display. It comments that intersections between the black and red lines may be useful even while the chart is moving sideways, and that the indicator…

Technical indicatorsMomentum
SuperMind

This note describes a technical screen for Chinese stocks combining RSI below 65, seven consecutive sessions in which the close is below the open, and a rising DEA, the smoothed signal line of MACD. It interprets the RSI threshold as avoiding an overbought…

EquitiesChina marketsTechnical indicatorsMomentum