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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

29,558 documents

FMZ forum

This tutorial explains a strategy framework that connects custom signal functions to exchange objects and translates their returned commands into trading actions. Its examples attach a moving-average crossover system to one exchange and a MACD crossover…

Trend followingTechnical indicatorsExecutionRisk management
SuperMind

This post presents a Chinese stock-selection screen using daily amplitude, a measure described as current control above 21%, and a morning-star signal attributed to Kute Intelligent. Its discussion characterizes the setup as a short-term technical approach…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This document describes a short-term Chinese stock screen combining daily price amplitude above 1%, a newly formed KDJ crossover, and classification in the metaverse concept. Its indicator example calculates K, D, and J from recent closing prices and selects…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document defines maximum drawdown as the largest decline from a historical net asset value peak to a subsequent trough within a selected period. It frames the measure as an estimate of the worst loss an investor might have experienced after buying a…

Risk managementStatisticsPortfolio construction
BigQuant

This article explains resistance as a price area where selling may emerge as an advancing market reaches prior highs. Its demonstration identifies local maxima by finding prices higher than the immediately preceding and following observations, then marks…

EquitiesTechnical indicatorsBreakoutRisk management
MQL5 code base

This document describes an Expert Advisor that uses the XMACandles indicator to generate trades. A signal occurs when a bar closes and the indicator’s candle color changes. Running the advisor requires the compiled indicator, and an auxiliary library is…

ForexTechnical indicatorsBacktestingRisk management
MQL5 code base

The script opens a buy and a sell market order shortly before a news release, aiming to capture a sharp move in whichever direction price breaks. The proposed setup uses stop losses so that an adverse move can close the losing side while the surviving…

ForexEvent-drivenBreakoutRisk management
FMZ forum

The article explains how liquid factor portfolios can approximate some hedge fund returns, potentially offering an accessible, lower cost substitute for investments with limited liquidity, high fees, or high entry barriers. It reviews linear multifactor…

Multi-assetFactor investingPortfolio constructionRisk management
BigQuant

This strategy combines a valuation screen with price, volume, and trend signals. It favors stocks with low price-to-book ratios, a new 60-day high, short moving-average crossovers in sequence, a daily volume increase relative to the prior day, and a positive…

EquitiesFactor investingMomentumTechnical indicators
MQL5 code base

The document outlines an expert advisor that uses the Commodity Channel Index, ZigZag, and Impulse indicators. Its configurable inputs include initial position size, stop loss, take profit, trailing stop and step, a shared averaging period for Impulse and…

Technical indicatorsRisk managementPosition sizingBacktesting
Hyperliquid docs

The document explains why closing a perpetual futures position may increase Available Balance by less than the margin shown for that position. It focuses on cross margin, where open positions share a common pool of collateral. If other positions have losses…

CryptoFuturesPerpetual futuresRisk management
MQL5 code base

This trading system opens a position when a bar closes with a caudate candlestick signal from the CaudateXPeriodCandle indicator. It can also close the position after a preset holding period, making elapsed time an explicit exit rule. The example…

ForexTechnical indicatorsBacktestingRisk management
MQL5 code base

This note describes a Laguerre RSI variant that adjusts its calculation period using Average True Range (ATR). The adaptation is intended to make the indicator respond more quickly during high volatility and produce smoother readings during quieter periods.…

Technical indicatorsVolatilityRisk management
SuperMind

This post proposes screening metaverse-related stocks using positive institutional activity and a ranking based on large-order net volume. It presents these flow measures as indicators of investor attention and concentrated buying, then describes selecting…

EquitiesMarket microstructureChina marketsRisk management
SuperMind

This post outlines an equity screen combining three signals: reported buying activity above a threshold, seven consecutive sessions with falling closing prices, and a positive but capped return over the prior ten sessions. The intended interpretation is to…

EquitiesMomentumMean reversionTechnical indicators
SuperMind

This post describes a proposed screen for stocks associated with the metaverse theme. It combines a simultaneous bullish crossover condition across three technical indicators with a specified range for the day’s largest decline, aiming to identify stocks…

EquitiesTechnical indicatorsChina marketsRisk management
FMZ forum

This essay presents futures trading as identifying a trend within a chosen time frame and trading in its direction. It suggests using longer charts to establish context and shorter charts to judge the trend or choose entries, with the specific chart…

FuturesTrend followingBreakoutTechnical indicators
SuperMind

This Chinese-language post outlines an equity screen intended to find possible short-term rebounds among stocks in a pullback. It combines three filters: prior-session amplitude above 1%, an opening price within 5% above or below the 10-day moving average,…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

The document presents a Chinese A-share screening idea that combines a positive MACD reading, upward separation of short moving averages, and a session high matching the highest level over the prior two days. It explains these conditions as signals of…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

The TN Alerts indicator describes a trend-following approach using fast and slow weighted moving averages. A long setup requires a rising slow average and consecutive closes above the fast average; a short setup mirrors those conditions. It can display…

Technical indicatorsTrend followingRisk management
SuperMind

This Chinese stock-screening example combines metaverse concept membership with a simple price condition: the current close must exceed the prior session’s low. It also limits candidates to companies below a stated market-cap threshold and requires positive…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The document proposes a short-term stock screen that selects shares with a daily amplitude above a threshold, a high equal to the highest of the current and prior sessions, and a volume ratio within a specified band relative to a moving average. It presents…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This stock screen combines three filters: an amplitude threshold, a dividend payout ratio above 25% for 2019, and return on equity above 15% for five consecutive years. The accompanying discussion treats the payout ratio and sustained ROE as signs of…

EquitiesFactor investingChina marketsRisk management