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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

SuperMind

This Chinese equity screening note selects stocks with turnover between 3% and 12%, codes beginning with 60, and a newly formed KDJ golden cross, where the K line moves above the D line after being below it. The stated rationale combines a turnover filter…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This note introduces the Wave Period Oscillator (WPO), drawing on an article about time-cycle oscillators. It describes the indicator as a short-term measure of buying and selling periods within price cycles. When the oscillator crosses above zero, the…

Technical indicatorsMomentumTrend followingRisk management
SuperMind

This Chinese stock-screening note describes a rules-based approach that combines price movement, Bollinger Bands, company size, and profitability. It looks for stocks with above-average daily range, a close between the Bollinger middle and upper bands,…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This stock-screening idea combines a daily price-range filter with a weekly moving-average condition. It seeks shares whose high-to-low range exceeds one percent, whose weekly five-period average crosses above the ten-period average, and whose moving…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese stock screen selects companies associated with beverage and alcohol imports or exports, turnover between 3% and 12%, and large-order net flow above 0.05 for at least three consecutive days. The article interprets persistent positive flow as a…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

This A-share stock screen combines daily price movement, relative trading activity, listing age, and the opening price. It selects stocks whose intraday high-to-low range is at least 1% of the low, whose volume is between 1.5 and 6 times its five-day…

EquitiesChina marketsTechnical indicatorsStatistics
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 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
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
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
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
SuperMind

This note proposes a short-term Chinese equity screen that combines daily price amplitude, price above the five-day moving average, and a price-change measure multiplied by a proxy for large-order activity. The intended interpretation is that substantial…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, appearance on the previous day’s Dragon-Tiger list, and a selection period in 2021. It gives example expressions for applying those filters and mentions excluding stocks…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This expert advisor opens a trade when a candle reaches a configurable minimum size within a specified number of minutes. An optional maximum length for the opposing candle shadow can filter the signal; the relevant shadow differs for buys and sells. Trading…

Technical indicatorsPosition sizingRisk managementExecution
MQL5 code base

The Trend Trail indicator displays a possible trailing stop level that follows the prevailing trend. It has two adjustable inputs: the period used to calculate average true range (ATR) and a multiplier that controls sensitivity. A trader can use the…

Technical indicatorsVolatilityRisk managementTrend following
SuperMind

This Chinese stock selection strategy filters for turnover between 3% and 12%, a positive product of price change and net super-large-order volume, and a 10-day return between 0% and 35%. The author presents the added 10-day return band as a way to focus on…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

The document briefly describes a modified MACD trading indicator as a faster version of an earlier variant. It also says that the display includes multiple Bollinger stop levels, presenting the added visual levels alongside the speed improvement. It does not…

Technical indicatorsVolatilityRisk management
Stratmill research code

This note proposes screening Chinese metaverse-sector equities using two signals: rank by the day’s opening-auction value and retain the leading five, then require at least two limit-up events within a stated 500-day lookback. It includes platform-specific…

EquitiesMomentumChina marketsMarket microstructure
SuperMind

This note describes a Chinese equity screening rule for stocks classified in the metaverse sector. It selects stocks whose latest close is above the previous close and whose current low matches the lowest low over either a 20-session or 30-session lookback.…

EquitiesTechnical indicatorsRisk managementChina markets
ProRealCode

The document explains a regression trend indicator that gives less influence to bars with high local residual variance. It first fits an ordinary least squares line, smooths squared residuals to estimate local variance, adds regularization, and converts…

Technical indicatorsStatisticsVolatilityTrend following
FMZ forum

This personal account reflects on years of involvement in cryptocurrency markets, including altcoins, leveraged trading, decentralized finance schemes, and token mining promotions. Its main lesson is caution: the author describes a market where inexperienced…

CryptoRisk managementSentimentSpot markets
MQL5 code base

The document describes a MetaTrader 4 expert advisor for managing a chart symbol’s open trade with virtual stop loss and take profit levels. It also outlines a virtual pending order that can use a trailing stop. The stated workflow initializes the levels,…

ForexRisk managementExecution