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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

79,386 documents

MQL5 code base

The document describes an expert advisor for stocks priced below a chosen ceiling. It places an initial small buy when price rises above a stochastic low level, then adds equal-sized lots after declines. A percentage step setting controls when another buy…

EquitiesTechnical indicatorsPosition sizingRisk management
BigQuant

The document presents a ProBuilder implementation of the SuperTrend indicator. It builds upper and lower bands around median price using average true range over a configurable period and a multiplier. The trend state changes when closing price crosses the…

Technical indicatorsTrend followingVolatility
SuperMind

The document explains a rolling estimate of annualized variance using daily stock returns. First compute each daily return from consecutive closing prices, then calculate the variance over a 20-trading-day window and scale it by 250, an assumed count of…

EquitiesVolatilityStatistics
SuperMind

The document presents a short-term Chinese equity screen combining prior-day price amplitude, a maximum tradable share count, and prior-day turnover within a specified band. Its rationale is that price movement may identify trading opportunities, smaller…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

This article summarizes a study of machine-learning methods for fundamental equity valuation across 17 European countries. It estimates monthly fair values from 21 accounting variables, then defines a mispricing signal as the gap between model-implied value…

EquitiesMachine learningFactor investingStatistics
SuperMind

This research summary compares linear valuation models with machine-learning methods for estimating the monthly fundamental value of stocks in 17 European countries. It constructs a mispricing signal from the difference between estimated fair value and…

EquitiesMachine learningFactor investingStatistics
SuperMind

The document describes a Chinese equity screen combining daily price movement and trading activity with a profitability filter. It selects stocks with an amplitude above 1, current volume above 10,000 lots, a higher opening price, and return on equity above…

China marketsEquitiesTechnical indicatorsFactor investing
ProRealCode

The document presents an indicator implementation for plotting Weis Wave, also called Wyckoff Wave, on a price chart and labeling the volume accumulated during rising and falling legs. It tracks directional moves using price thresholds, then updates swing…

Technical indicatorsVolatilityMarket microstructure
SuperMind

This article describes a daily stock screen for companies classified in the metaverse sector. It looks for a fresh bullish KDJ crossover, requires the stock to have had trading activity in 2021, and limits selection to active stocks before 10:00. It provides…

EquitiesTechnical indicatorsChina markets
BigQuant

The article presents five claimed strengths of quantitative investing: building models from processed data and backtests, using machine learning to handle information, applying systematic rules to reduce emotional decisions, analyzing broad datasets, and…

StatisticsMachine learningBacktestingPortfolio construction
NautilusTrader

The document defines a generic perpetual contract instrument for perpetual swaps that are not represented by a crypto-specific contract type. It describes the metadata needed to model one consistently across venues: instrument identity, underlying and asset…

Perpetual futuresDerivatives pricingForexMarket microstructure
SuperMind

This article proposes a short-term Chinese equity screen combining three conditions: amplitude above 1, a prior-day 9:15 indicative match price at the limit-down price, and more than two limit-up days within the past ten days. It says the final candidates…

EquitiesChina marketsMomentumVolatility
BigQuant

The article describes five intraday equity patterns and offers rules for interpreting price relative to the opening price, the intraday average-price line, volume, and recent swing highs and lows. It treats an early spike and pullback that holds above the…

EquitiesTechnical indicatorsMomentumRisk management
ProRealCode

This indicator derives yearly pivot levels from the prior year’s high and low, together with price inputs that vary by calculation mode. It offers three stated pivot formulas, using combinations of the yearly range, the prior close, and the current open.…

Technical indicators
MQL5 code base

This document describes an alert layer for an XRSI candle and zero-line indicator. It can notify the user when the indicator crosses the zero line, when candle direction changes, when an overbought or oversold threshold is crossed, or when the indicator…

Technical indicatorsMomentum
MQL5 code base

This indicator displays the colors and signal shapes produced by a separate Ichimoku candle indicator across ten configurable timeframes, ranging from hourly to monthly by default. It lets a trader compare trend conditions across several horizons on one…

Technical indicatorsTrend following
Qlib

This example outlines an end-to-end workflow for training and evaluating reinforcement learning agents for order execution. It covers preparing five-minute HS300 data and order files, configuring PPO and OPDS training tasks, saving checkpoints, and running a…

ExecutionMachine learningBacktestingMarket microstructure
MQL5 code base

This short strategy description uses consecutive candlestick bars and the growth of their real bodies to generate contrarian signals. A run of N bullish bars, with each bar's body larger than the preceding one, is treated as a sell signal. Conversely, N…

Technical indicatorsMean reversionEquities
SuperMind

This document describes a Chinese A-share stock screen that combines trading activity, a technical trigger, and a capital-flow ranking. It selects stocks with turnover between 3% and 12%, a newly formed KDJ golden cross, and positive price movement, then…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection note proposes screening equities for an RSI below a stated threshold, seven consecutive down sessions, and turnover within a specified band. The criteria combine a momentum oscillator, a sustained decline, and a liquidity or…

China marketsEquitiesMean reversionTechnical indicators
vn.py community

This forum exchange discusses discrepancies in daily bars built from intraday data using VeighNa's PortfolioBarGenerator. A user reports that bars formed with a presumed close near the end of the session show the previous day's date and that live synthesized…

FuturesExecution
BigQuant

This article explains why individual investors may find it difficult to compete with quantitative trading firms. It highlights four claimed advantages: automated rules can reduce emotional decision-making; computational systems can monitor many securities…

EquitiesStatisticsExecutionRisk management
SuperMind

The document proposes a Chinese equity screen that combines a prior-day appearance on the market's notable-trading list with a price-range filter and ownership-concentration rankings. Its stated criteria are daily amplitude above 1%, a prior-day notable-list…

EquitiesMomentumStatisticsBacktesting