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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

3,481 documents

BigQuant

This note describes a stock risk factor based on the Sharpe ratio over a 20-day period. It defines the measure as annualized stock return minus a risk-free rate, divided by the stock return standard deviation. The stated risk-free rate is 0.04. The factor is…

EquitiesFactor investingRisk managementStatistics
BigQuant

The document introduces the True Strength Index (TSI), a price momentum indicator calculated from closing prices. It first measures the close-to-close change and its absolute value, then applies two exponential moving average smooths to each series. The…

Technical indicatorsMomentumEquities
BigQuant

This research explores whether intraday price and volume relationships can improve stock selection. It builds three signals from price–volume correlation: its average level, its stability over time, and its trend. The average signal adjusts conventional…

EquitiesChina marketsFactor investingTechnical indicators
BigQuant

This report examines institutional investors’ holdings and style preferences, focusing on Chinese equities and summarizing US institutional ownership for context. It outlines four possible data sources for monitoring institutions: macro indicators, trading…

EquitiesChina marketsFactor investingPortfolio construction
BigQuant

This report describes ways to study institutional investors’ market footprint and preferences in Chinese equities. Because many institutions do not disclose complete holdings, it proposes classifying shareholder accounts from listed companies’ public…

EquitiesChina marketsFactor investingPortfolio construction
BigQuant

This report explains how to isolate a desired equity style factor while controlling exposure to other factors. It contrasts full replication, which reproduces modeled pure-factor returns but does not control ex ante risk, with constrained mean-variance…

EquitiesFactor investingPortfolio constructionRisk management
BigQuant

This review summarizes research on whether anchoring to a stock’s 52-week high helps explain why prices respond slowly to news about economically connected firms. Its central hypothesis is that investors underreact to good news about a customer when a…

EquitiesMomentumFactor investing
BigQuant

This article proposes a visual exit technique combining a moving average with a horizontal line drawn from a recent swing high or low. For a long position, the trader marks a visible high, extends a horizontal reference, and treats the bar vertically aligned…

EquitiesTechnical indicatorsTrend followingRisk management
BigQuant

This Chinese-language strategy note surveys ways to connect macro conditions, company fundamentals, valuation, and sector performance. It describes a credit and earnings framework for market regimes, a rolling stock-bond yield spread as a relative valuation…

EquitiesChina marketsFactor investingStatistics
BigQuant

This research summary presents factor timing as a risk-control problem rather than solely as a return-forecasting problem. It proposes adjusting the upper and lower bounds on factor exposures in a portfolio, with those limits informed by factor risk,…

Factor investingRisk managementPortfolio constructionBacktesting
BigQuant

This Chinese-language brokerage research summary examines advanced driver-assistance systems in China, focusing on adoption, technology requirements, supplier roles, and domestic competition. It describes ADAS as a chain of perception, planning, decision,…

EquitiesChina marketsMachine learning
BigQuant

This platform guide describes two ways to organize data preparation and simulated trading. In one workflow, a separate task cleans and stores factors, then a trading task consumes its output. In the other, one task first prepares and saves the data and then…

ExecutionBacktesting
BigQuant

The article discusses three reported Chinese equity-market changes: wider daily price limits for risk-warning stocks, expanded after-hours fixed-price trading, and revised ChiNext listing standards that place more weight on growth and research investment. It…

China marketsEquitiesExecutionMarket microstructure
BigQuant

This overview introduces the Fama-French five-factor asset pricing model as an extension of the three-factor model. It describes the market risk premium, size, value, profitability, and investment-style factors, and explains each as a return spread between…

EquitiesFactor investingStatisticsPortfolio construction
BigQuant

This strategy selects stocks that open above the previous close and have a five-day closing-price average above the ten-day average. Among qualifying stocks, it ranks by price-to-earnings ratio in ascending order and chooses the first ten; purchases are…

EquitiesMomentumTechnical indicatorsBacktesting
BigQuant

This document summarizes the SEC’s 2019 adoption of Rule 6c-11, which lets many ETFs operate under the Investment Company Act of 1940 and list without seeking an individual exemptive order. It frames the rule around regulatory exemptions, custom creation and…

EquitiesUS marketsMarket microstructure
BigQuant

This student submission translates a Chinese stock trading pattern into explicit screening and trading rules. The setup looks for a declining session after a limit-up day, with current volume twice the prior day’s volume. The stock is then watched, with…

EquitiesBreakoutMomentumTechnical indicators
BigQuant

The document presents a SQL query for calculating a stock’s five-day price return and ranking that return against other stocks on the same date. It uses a window function to retrieve each instrument’s close from five trading rows earlier, then computes the…

EquitiesStatisticsChina markets
BigQuant

The document explains how to restrict a Chinese stock machine-learning dataset to shares that closed at their daily price limit, or to shares that hit the limit on the previous trading day. It describes filtering factor data by limit-status value and using a…

EquitiesChina marketsMachine learningBacktesting
BigQuant

This guide explains how to monitor a StockRanker model’s validation performance during training. It recommends preparing a validation dataset, either from a separate data module or by reusing the training data, and connecting it to the model’s validation…

Machine learningStatisticsBacktesting
BigQuant

This short indicator reference defines a Keltner Channel using high, low, and close price data alongside three parameters: the moving-average period, the ATR period, and a multiplier. It first calculates an average of true range over the selected ATR period.…

Technical indicatorsVolatility
BigQuant

This document outlines a two-stock pairs strategy based on a presumed long-term cointegrating relationship. It fits a linear relationship between the stocks’ prices, calculates the residual, and standardizes that residual over a rolling history. When the…

EquitiesPairs tradingMean reversionBacktesting
BigQuant

This article outlines a workflow for adding intraday monitoring and automated execution to a BigQuant equity strategy. Its premise is that factor calculations may produce a next-day trading plan only after the market closes, leaving no mechanism to react to…

EquitiesExecutionMarket microstructureChina markets
BigQuant

This essay uses an unfinished introduction to a supposed futures reversal method to illustrate the appeal and danger of searching for secret signals. It does not describe a specific entry rule or demonstrate that any reversal strategy works. Instead, it…

FuturesRisk managementPosition sizing