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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
WonderTrader
14 documents
Alphalens
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

22,592 documents

Lumibot

The script describes a daily SPY allocation strategy driven by CNN’s Fear and Greed Index. A research agent retrieves the latest score from a prior day, while a separate trading agent maps score ranges to target allocations: higher equity exposure at low…

EquitiesSentimentPosition sizingBacktesting
SuperMind

This document outlines a Chinese equity screen using three conditions: price amplitude above 1, a 9:25 price increase below 6%, and recent revenue at least 1.1 times the 2018 revenue figure. It frames the revenue comparison as a growth filter and combines it…

EquitiesChina marketsFactor investingStatistics
SuperMind

This document describes an A-share stock screen combining a 14-period RSI below 65, year-over-year net profit growth above 20% and no more than 100%, and a 9:25 price increase below 6%. Its accompanying query example adds positive net profit, a free-float…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This note outlines a Chinese equity screen using RSI below 65, float market value between 5 and 10 billion yuan, and daily price change between −5% and 2.6%. It combines a short-term technical indicator with company size and recent price movement, then…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This Chinese stock selection note describes a short-term screen requiring amplitude above 1, three moving-average crossovers to occur together, and exclusion of stocks that hit the daily limit the previous day. The crossover sequence uses moving averages…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

The document describes an indicator that draws a channel using the highs and lows of daily candlesticks. Alongside the plotted channel, it displays selected values from the current bar in the chart’s comment area. The description identifies the indicator as…

Technical indicatorsEquities
SuperMind

The document describes a stock selection rule combining three conditions: daily price amplitude above a threshold, circulating market capitalization above a threshold, and best bid volume greater than best ask volume. It presents the conditions as filters…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and volume ratio between 1.5 and 6. The stated rationale is to find stocks with…

EquitiesChina marketsTechnical indicators
SuperMind

This Chinese A-share screen selects stocks with MACD above zero, a qualitative business-character assessment, and a daily price change within a specified range. The article frames the rule as combining a technical momentum condition with a basic…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection rule combines three conditions: daily amplitude above a threshold, a weekly five-period moving average crossing above the ten-period average, and yesterday’s turnover rate above a stated level. The crossover is intended to…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This Chinese A-share screening rule combines a metaverse industry filter and a maximum circulating share count with a measure based on yesterday’s turnover rate and today’s auction volume relative to yesterday’s trading volume. It selects stocks where the…

EquitiesChina marketsMarket microstructureStatistics
BigQuant

This short question-and-answer thread addresses how to obtain a list of stocks underlying convertible bonds in the BigQuant data environment. A reply suggests reading the `stk_instrument` field from the `basic_info_CN_BOND` table. The questioner then asks…

EquitiesChina markets
BigQuant

This guide explains the workflow for a BigQuant contest focused on constructing 15-minute factors from three-second stock snapshot data. Participants are asked to write factor logic without using model-generated factor synthesis. The platform provides…

EquitiesHigh-frequency tradingFactor investingBacktesting
SuperMind

The proposed screen targets Chinese stocks with prior-session amplitude above a threshold, a listing on the previous day’s Dragon-Tiger ranking, and no ST designation. It then selects up to five stocks that reach the daily limit-up before 10 a.m., sorting…

EquitiesChina marketsMomentumBreakout
Qlib

This Qlib configuration trains an ADD model using a GRU base model and Alpha360 features to rank CSI 300 stocks. Features are robustly normalized and missing values are filled; labels are cross-sectionally rank-normalized after missing labels are dropped.…

EquitiesChina marketsMachine learningFactor investing
SuperMind

The document describes a historical stock screen that selects non-KSTAR-board Chinese stocks on dates in 2021 when the daily high-low range exceeds 1% of the low. It presents the range as a measure of elevated price movement that may identify stocks with…

EquitiesChina marketsVolatility
SuperMind

The document presents a stock screen combining membership in the metaverse industry, an arc-shaped price pattern, and a daily return between -5% and 2.6%. It frames the return band as a way to avoid stocks that have already moved too sharply, while the…

EquitiesChina marketsTechnical indicators
SuperMind

This screening idea selects stocks associated with the metaverse theme when three bullish technical crossovers occur together: MACD crosses its signal line, the 5-day average crosses the 10-day average, and the 5-day average crosses the 20-day average. It…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection recipe combines a moving-average condition, an opening-price filter, and a revenue growth test. It targets Chinese equities whose 5-, 10-, 20-, 30-, and 60-day moving averages are described as overlapping, whose 9:25 a.m. gain is below…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The proposed Chinese equity screen selects stocks with turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a stated circulating market value above 10 billion yuan. The accompanying explanation treats turnover as a measure of…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

The Didi Index is described as a moving-average indicator intended to help identify potential reversal points. It uses three moving averages, including periods of 8 and 20, displayed around a center line at zero. A signal feature called a “needle” appears…

Technical indicatorsEquities
vn.py community

The article explains a WebSocket subscription workflow for delivering minute-level Chinese A-share market data to a VN.PY strategy. It contrasts a persistent server-push connection with repeated HTTP polling, then outlines connecting to a data source,…

EquitiesChina marketsExecutionMarket microstructure
SuperMind

This article outlines a technical stock screen for the Chinese metaverse theme. It requires bullish crossovers in MACD and two short-term moving-average comparisons, along with the 20-day average above the 120-day average. The stated intent is to find stocks…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The document describes a stock screen combining an RSI threshold below 65, membership in the beverage and alcohol import-export industry, and a condition it labels a rounded-arc pattern. The supplied formula defines that pattern as the five-period and…

EquitiesTechnical indicatorsMean reversion