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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
Quantopian lectures
45 documents
Binance API docs
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

29,558 documents

FMZ forum

The author warns that rented strategies can display steadily rising live curves while concealing a risk of catastrophic loss. They describe systems resembling martingale or complex hedged, locked-position approaches, and recount a trader who ran several…

Risk managementPosition sizingCryptoBacktesting
ProRealCode

The document describes an account-level risk utility for prop-firm evaluations. Attached to one chart, it monitors account equity against daily loss and maximum drawdown limits. When a threshold is reached, it closes open trades, removes pending orders…

Risk managementPosition sizingExecution
MQL5 code base

The document describes a trading expert advisor that uses fractals across two timeframes to identify support and resistance, with entries based on the open candle. It lists configurable controls for trade sizing, moving averages, stop loss and take profit,…

Technical indicatorsRisk managementPosition sizingGrid trading
BigQuant

This sector-rotation study uses the absorption ratio to measure how concentrated the risks embedded in a group of asset returns are. The ratio reflects the share of total return variation explained by a small set of orthogonal components: higher readings are…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

This Chinese-language post describes a momentum-oriented stock screen using three conditions: position growth above 5% for the day, moving averages spreading upward, and at least two limit-up sessions within the prior 500 days. The rationale is that rising…

EquitiesMomentumTechnical indicatorsRisk management
Kraken Learn

The document introduces NFTs as blockchain tokens whose metadata points to a file or other asset. It distinguishes ownership of the token from copyright or other intellectual property rights: buyers can generally verify and transfer the token’s ownership,…

CryptoOn-chain dataRisk management
MQL5 code base

This MetaTrader 5 expert advisor places a buy stop above the previous daily bar’s high and a sell stop below its low, with an optional price offset. It removes its existing pending orders when it begins a new trading day, then submits the new pair if trading…

FuturesBreakoutExecutionRisk management
BigQuant

This 2018 report reviews managed futures, including how CTA strategies trade futures and options and how they differ by analysis method, trading style, holding period, and markets covered. It describes systematic and discretionary approaches alongside trend…

FuturesOptionsTrend followingArbitrage
vn.py community

The discussion clarifies that a strategy’s position variable represents net exposure. A long position of one unit followed by an additional short opening trade of one unit nets to zero in that variable, rather than retaining separate counts for long and…

Risk managementPosition sizing
Hummingbot docs

This reference lists configurable controls for a pure market-making strategy and explains how to change them through the client’s configuration commands or by editing a strategy configuration file. It groups settings for quote levels and spacing, inventory…

Market makingExecutionMarket microstructureRisk management
MQL5 code base

This strategy waits for price to break above the upper band of a Bollinger Band calculated over a long period, then enter short after price closes back below that band. It sets a stop loss at one ATR and a take profit at 1.5 ATR, using volatility-based…

BreakoutMean reversionTechnical indicatorsRisk management
MQL5 code base

This dashboard description explains how Pearson correlations across symbols and timeframes can support trading decisions. A color-coded matrix is intended to show positive and negative relationships, with selectable daily and intraday views. The examples…

StatisticsRisk managementForexCommodities
BigQuant

This article outlines an asset allocation method that combines risk parity with the Black-Litterman framework. Risk parity portfolio weights serve as prior weights, which are used to infer prior expected returns. Short-term momentum views are then…

Multi-assetPortfolio constructionMomentumRisk management
BigQuant

This article explains how to model multi-stock trading as a Markov decision process and train a deep deterministic policy gradient (DDPG) agent with FinRL. The state includes prices, holdings, and cash; actions change holdings through buying, selling, or…

EquitiesChina marketsMachine learningBacktesting
ProRealCode

This indicator guide divides intraday trading into Asian, London, and New York session windows, including separate New York morning, lunch, and afternoon periods. It marks each window’s high and low as chart zones, then extends prior session levels as pivots…

Technical indicatorsBreakoutExecutionRisk management
FMZ forum

This introductory guide explains call and put options, the distinction between in-, at-, and out-of-the-money contracts, and key features of China’s 50ETF options, including contract size, exercise style, settlement, and price limits. It emphasizes that…

OptionsDerivatives pricingVolatilityRisk management
vn.py

This guide explains the CTA strategy workflow in VeighNa Fusion, from connecting to the trading gateway and creating a strategy instance to configuring parameters, initializing, starting, and stopping it. Each instance has its own target contract, parameter…

FuturesExecutionRisk managementBacktesting
BigQuant

This essay groups purportedly successful stock market participants into six styles: patient traders who wait for rare setups, long-term value investors, specialists focused on one stock, short-term leaders-of-the-hot-sector traders, traders who repeat a…

EquitiesMomentumRisk managementPosition sizing
SuperMind

This post describes a Chinese equity screening rule that combines prior-day price amplitude above 1%, an appearance on the prior day’s Dragon-Tiger list, and turnover between 2% and 9%. It frames the combination as a way to find volatile, actively traded…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This A-share screening proposal combines three conditions: intraday amplitude above 1%, at least five overlapping moving averages, and a gain below 6% at 9:25. Its explanation treats the overlap and amplitude filters as signals of relatively stable price…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This brief description identifies an Expert Advisor based on a trading system called Pendulum. Its only stated operating constraint is that it keeps no more than three positions open at a time. The text names the idea's originator and the code author, but…

Risk managementPosition sizing
FMZ forum

The article argues that no single programming language is best for every algorithmic trading system. It recommends starting with system requirements and strategy characteristics, then selecting tools for separate components such as historical research,…

BacktestingExecutionPortfolio constructionRisk management
FMZ live strategies

This page reports live performance statistics for a trading robot labeled as a Polymarket signal source, operating on a five-minute chart interval. The displayed status and logs show directional UP or DOWN signals, a price-to-beat reference, and whether…

CryptoStatisticsBacktestingRisk management