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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

This document describes a read-only MetaTrader 5 indicator for reviewing a proposed buy stop or sell stop on the chart’s current symbol. It compares the entered price and volume with broker contract details, including tick size, volume limits and increments,…

ExecutionRisk managementMarket microstructure
SuperMind

This A-share selection rule screens for stocks whose daily high-low range exceeds 1%, that did not hit the upper price limit on the previous day, and whose circulating share count is at most 5.5 billion shares. The article presents the range as a way to find…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This daily stock-selection proposal filters for shares priced below 12 yuan, market capitalization above 200 million yuan, and a MACD value above zero. The article says the scan is intended to run before the trading day, around 10 a.m. It frames positive…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening proposal looks for stocks with a daily trading range above 1, actual turnover between 3% and 28% on the prior day, and three consecutive limit-up sessions as described in the article. It combines price volatility, trading activity, and…

EquitiesChina marketsMomentumVolatility
SuperMind

This A-share screening idea combines a 14-period RSI below 65 with a sequence of declining sessions and bullish moving-average crossovers. The crossover conditions involve the 5-, 10-, and 30-period moving averages, and the code example also requires a…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This research summary describes a study of price spillovers from homes in Hong Kong identified as haunted. It reports progressively smaller average price declines across nearby properties: the affected unit, other units on the same floor, homes in the same…

Statistics
MQL5 code base

The document describes an Expert Advisor that generates a signal when a bar closes and the i4_DRF_v2 indicator histogram changes color. It therefore uses a confirmed bar-close signal rather than reacting to an unfinished bar. Running the advisor requires the…

ForexTechnical indicatorsBacktesting
vn.py community

This document lays out a sequence of practical exercises for learning quantitative trading with VN.PY. The projects cover market data retrieval and database storage, vectorized indicator calculations, CTA strategy development, cleaning futures data, and…

FuturesBacktestingStatisticsRisk management
BigQuant

This report examines whether changes in economic growth, inflation, interest rates, and risk premiums can help guide allocation among value and growth stocks and among large-, mid-, and small-cap Chinese equities. It uses GDP growth, CPI, the ten-year…

EquitiesFactor investingChina marketsStatistics
SuperMind

This document proposes a stock-selection screen that requires MACD to be above zero, price-to-earnings ratio to be positive, and RSI to be below 65. Its rationale is to select stocks with a positive momentum signal, a positive valuation measure, and less…

EquitiesMomentumTechnical indicatorsFactor investing
BigQuant

This Chinese-language research summary examines how differences between reported macroeconomic data and consensus forecasts may relate to returns in Chinese equities, bonds, and commodities. It compares forecast data sources, noting that Bloomberg records…

Multi-assetEvent-drivenStatisticsBacktesting
MQL5 code base

This document describes a Bollinger Band stop indicator intended to help identify trend direction and possible trend changes. It says that the usual approach derives a stop line from deviation-based risk, but a single line may not suit every use. The…

Technical indicatorsTrend followingRisk management
MQL5 code base

This document describes additions to a DeMarker-based trading strategy in its second version. It introduces configurable stop-loss and take-profit levels, plus a trailing activation threshold. The activation threshold is intended to move the stop to a…

Technical indicatorsRisk managementExecution
SuperMind

This post describes a Chinese stock screen that starts with price amplitude, a daily control activity measure, and a comparison of the 20 day and 120 day moving averages. It interprets the moving average relationship as evidence of an intermediate to longer…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This community post presents a Chinese stock screen combining price amplitude above a threshold, a circulating share count cap, and a weekly bullish condition. Its example defines the bullish condition as the close being above several moving averages, then…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This report reviews U.S. mutual fund and ETF expense ratios through 2017, comparing equity, balanced, bond, money market, target date, active, and index products. It describes broad fee declines over time and relates them to investor demand for low cost…

Multi-assetUS marketsStatistics
MQL5 code base

This short indicator description explains that ColorRSI_X20_Cloud can calculate using a timeframe selected through an input parameter, with a four-hour period shown as the default. This lets a trader view the indicator on a chart while basing its calculation…

Technical indicators
SuperMind

This stock-selection proposal screens for shares with an amplitude above 1, a dividend ratio above 25% in 2019, and positive price change associated with large buying orders during the auction. It also specifies that the combined very-large-order buy volume…

EquitiesChina marketsMarket microstructureVolatility
SuperMind

This Chinese stock-selection proposal combines a relative strength index below 65 with a price-change and very-large-order net-volume condition. It further limits candidates to robotics-related companies with circulating market capitalization below 10…

EquitiesTechnical indicatorsMarket microstructureChina markets
MQL5 code base

The eFibo Expert Advisor is presented as a manual trading aid that automatically executes a constant-step grid in a chosen direction. As price moves favorably, it adds positions at successive levels whose lot sizes can follow Fibonacci values, such as 1, 2,…

ForexGrid tradingTrend followingPosition sizing
MQL5 code base

This indicator concept applies min-max normalization to Average True Range, a commonly used measure of market volatility. ATR itself is unbounded, so its raw value does not provide a fixed scale for deciding whether volatility is near a relative high or low.…

Technical indicatorsVolatilityStatistics
MQL5 code base

This Expert Advisor design runs separate long and short systems based on ColorSchaffJCCXTrendCycle signals. Each side has its own settings and magic number, allowing the trader to configure or test them independently. The document emphasizes that the two…

ForexTechnical indicatorsPosition sizingRisk management
MQL5 code base

The document explains quantiles as cutpoints that divide a probability distribution or sample into groups with equal, or nearly equal, probability or observation counts. For a division into q groups, there are q − 1 cutpoints. It names familiar cases such as…

StatisticsTechnical indicators
MQL5 code base

This expert advisor uses the Acceleration/Deceleration oscillator to generate buy and sell signals. It evaluates the indicator when a new bar appears and allows only one open position at a time, which supports both hedging and netting account modes. The…

Technical indicatorsMomentumPosition sizingRisk management