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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

The post describes a short-term Chinese stock screen that seeks shares with an amplitude measure above a threshold, ranks them by the day’s auction amount, keeps the top five, and requires a positive return. Its stated rationale is to focus on active,…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock-selection note proposes screening for shares with a daily trading range above a threshold, no limit-up close on the prior day, and a newly formed KDJ bullish crossover. It presents the crossover as a technical signal that may mark the start of an…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post presents a stock-selection screen combining an RSI below 65 with price change multiplied by super-large-order net flow, followed by a ranking on large-order net flow. It frames RSI as a technical filter and order-flow measures as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The post proposes selecting stocks whose MACD is above zero, whose company characteristics are considered favorable, and whose market popularity ranks highly. This blends a technical momentum signal with a basic company-quality filter and investor attention.…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

The document presents a Python charting workflow for a market series, including candlesticks, turning-point markers, and a three-line oscillator. Its core calculation compares the close with rolling highs and lows over two lookback windows, then shifts the…

Technical indicatorsMomentumBacktesting
MQL5 code base

The document explains how the plus and minus directional indicators, +DI and -DI, form part of Wilder’s Directional Movement Index. Unlike ADX, which measures the strength of a move without indicating its direction, these lines compare upward and downward…

Technical indicatorsMomentumTrend following
SuperMind

This screening proposal selects Chinese equities using three conditions: daily amplitude above one percent, a closing price below 20, and at least two limit-up events within 500 days. The article frames amplitude as a measure of price fluctuation, the price…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The document introduces the momentum line, or MTM, as the difference between the current closing price and the close from a chosen number of days earlier. Connecting these values produces the momentum series. A moving average of recent MTM readings provides…

EquitiesMomentumTechnical indicatorsBacktesting
SuperMind

This document proposes screening Chinese A-share stocks for turnover between 3% and 12%, a recent bullish KDJ crossover, and a rounded-base chart pattern. Its indicator example also requires the close to be at or above the 20-day moving average. A Python…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This document outlines an expert adviser that receives data from six indicators: CCI, fast and slow moving averages, MACD, Stochastic, and RSI. Each indicator is instantiated across six chart periods ranging from one minute through four hours, giving the EA…

Technical indicatorsMulti-assetMomentum
SuperMind

This short-term stock screen selects main-board shares with turnover between 3% and 12%, a daily gain above 1%, and more than two limit-up days within a ten-day window. The article frames turnover and daily gains as signs of activity, while repeated…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-screening method combines a turnover range of 3% to 12% with exclusion of Beijing-listed A-shares and a newly formed KDJ golden cross. The cross is defined as the K line moving above the D line after being below it, using a nine-period price range…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The strategy ranks stocks each month using five inputs: trailing-twelve-month price-to-earnings and price-to-sales ratios, price-to-book value, one-month price momentum, and one-month trading value. The author reports that trailing-twelve-month PE and PS…

EquitiesFactor investingMomentumPortfolio construction
NautilusTrader

This Chinese-language post describes a stock screen combining three filters: RSI below 65, exclusion of the STAR Market, and a positive return over ten days that remains below 35%. It also gives an illustrative implementation outline using historical prices…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post outlines an equity screen that ranks stocks by a measure of capital strength derived from trading volume and float capitalization, then selects those whose KDJ indicator has just formed a bullish crossover. The initial description…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening rule selects stocks with an intraday amplitude above 1 and MACD above zero, then chooses the top five by the day's auction-related turnover measure. The stated reasoning is that a positive MACD may indicate a favorable trend, while…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening idea looks for stocks with MACD above zero that had three consecutive limit-up sessions through the prior day, then ranks candidates by reported popularity. It is intended to combine a positive technical signal with recent momentum and…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock screen combines a 14-period RSI below 65 with a listing-age filter and a 15-minute MACD condition described as shortening green histogram bars. The proposed refinement adds a minimum market capitalization of 5 billion and excludes a specified…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes a daily pre-open screen for Chinese stocks priced below 12 yuan. It requires MACD to be above zero and three moving-average crossover conditions to occur together: the 5-day average crosses above both the 10-day and 20-day averages,…

EquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection approach screens Chinese A-shares using three kinds of signals: RSI below 65, external volume divided by internal volume above 1.3, and large-order net volume above 0.05 over three consecutive days. The explanation interprets persistent…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese equity screen selects stocks with turnover rates between 3% and 12%, at least one limit-up event in the prior 25 days, and at least two limit-up events within 500 days. The post presents these filters as a way to combine trading activity with…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This proposed stock screen combines three conditions: market capitalization below 10 billion yuan, a company with no losses, and weekly MACD above the zero line. It also looks for at least five moving averages to converge, which the article interprets as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening idea combines a turnover band of 3% to 12%, a rising DEA indicator, and a condition that price change multiplied by net volume from very large orders is positive. The document presents the combination as a way to capture…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The post proposes a Chinese equity screen combining metaverse theme membership, circulating market capitalization above 10 billion yuan, and a three-consecutive-limit-up run as of the previous day. It frames the screen as a way to find stocks with strong…

China marketsEquitiesMomentumTechnical indicators