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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
Quantpedia
86 documents
TqSdk
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

79,386 documents

SuperMind

This document presents a Chinese equity screening rule that combines daily price amplitude with a stock-code prefix and Bollinger Bands. It describes selecting stocks whose codes begin with 60, whose amplitude exceeds 1%, and whose close lies within the…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

The document describes an MT5 indicator that displays RSI readings across seven timeframes, from M1 through D1. Each timeframe is assigned a momentum category, ranging from oversold and bearish through neutral to bullish and overbought. Users can adjust RSI…

Technical indicatorsMomentum
SuperMind

The document describes a daily stock screen for the metaverse industry. It looks for a newly formed bullish KDJ crossover and a share price of 18.5 yuan, with selection intended before 10:00 and limited to actively trading stocks. It provides an…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document presents long and short voting rules based on a 200-period Envelopes indicator with a stated deviation of 0.35. The long rule returns a positive signal when the ask is at or below the lower band, or lies between the band midpoint and upper band.…

Technical indicatorsMean reversionBacktesting
MQL5 code base

This document explains a Renko-channel indicator that changes bar colors when price moves outside a gray channel. Green marks an upward trend and red marks a downward trend. Bright shades indicate that the candle’s direction agrees with the trend, while dark…

Technical indicatorsTrend followingBreakout
BigQuant

The document describes a hybrid approach that combines ARMA-GARCH models with several neural network types to identify market patterns and predict the direction of shocks in defense equities and foreign exchange. ARMA-GARCH models capture linear time-series…

Machine learningStatisticsVolatilityEquities
SuperMind

This stock-screening note proposes combining moving-average confluence, a specific closing-price condition, and a high dividend ratio. It describes counting available observations in a short rolling window, checking whether the close equals the stated price,…

EquitiesFactor investingTechnical indicatorsChina markets
MQL5 code base

This document describes an Expert Advisor that exports MetaTrader 5 economic-calendar data to a CSV file for use by external research scripts, dashboards, bots, or spreadsheets. The terminal’s calendar can be accessed through MQL5, while the Python…

Event-drivenExecutionStatistics
SuperMind

This stock-screening note combines three conditions: price amplitude above a threshold, an indicator described as main-force control on the prior day, and ranking by capital strength. It gives a simple money-flow measure based on the difference between…

EquitiesMomentumTechnical indicatorsChina markets
BigQuant

This note describes a daily liquidity signal built from intraday order book snapshots. It sums bid and ask volumes across the first five levels, then measures their normalized imbalance as the difference divided by the total. Separately, it calculates…

Factor investingMarket microstructureStatistics
SuperMind

The document proposes a stock screen combining daily price range, positive price-to-earnings ratio, and revenue growth. It selects stocks whose high-to-low range exceeds one percent of the previous close, whose P/E is positive, and whose revenue in 2021 is…

EquitiesFactor investingTechnical indicatorsRisk management
BigQuant

The document briefly introduces a multi-factor investment platform, focusing on how to estimate stock and portfolio factor exposures. Stock exposures are derived from database values such as price-to-earnings and price-to-book ratios, then cleaned and…

Factor investingPortfolio constructionStatistics
MQL5 code base

This brief description introduces XFisher_org_v1_Candle, an indicator that displays the output of the XFisher_org_v1 algorithm as candlesticks. The candle values are produced by processing a price time series, which the source says may make the indicator…

Technical indicatorsEquities
BigQuant

This article argues that China’s A-share T+1 settlement rule can constrain retail traders who buy shares during a session, while some institutions may approximate intraday trading through previously held inventory or short selling. It describes two proposed…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This Chinese-language post describes an A-share stock screen combining a robot-related theme, free-float market value below the stated threshold, daily turnover within a specified band, and a rising sequence of five exponential moving averages from shorter…

EquitiesChina marketsTechnical indicatorsTrend following
ProRealCode

This document presents an implementation of John Ehlers’ Adaptive Commodity Channel Index. It estimates a dominant cycle period from price data by smoothing prices, deriving in-phase and quadrature components, and applying a homodyne discriminator. The…

Technical indicatorsCommoditiesStatistics
SuperMind

The document proposes screening Chinese A-share stocks in the metaverse sector using a float-size ceiling of 5.5 billion shares and a condition that the 20-day moving average exceed the 120-day moving average. The moving-average comparison is intended to…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The document presents a daily pre-open stock screen for Chinese A-shares using three conditions: MACD above zero, closing price below 12, and price amplitude above 1. It defines amplitude from the session high and low relative to the prior close, and…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document describes an indicator that replaces signal candles with flag-shaped markers, intended to make signals easier to view. Its listed inputs include a moving average period, three rank and shift values, a vertical price offset, a gap in points,…

Technical indicators
MQL5 code base

The document introduces the Force Index, an indicator attributed to Alexander Elder, and explains its basic calculation: the change in closing price multiplied by volume. It describes smoothing this one-period value to reveal directional pressure, noting…

Technical indicatorsMomentum
ProRealCode

This indicator description introduces the Adaptive Composite Moving Average (ACMA), which combines distance-based weighting, recency weighting, and an efficiency-ratio measure of trend strength. It offers four modes: favor prices near the mean, favor recent…

Technical indicatorsTrend followingVolatilityBacktesting
SuperMind

This Chinese equity-screening note combines three price conditions: a daily range above a stated threshold, no limit-up close on the previous trading day, and a current high equal to the highest high across two days. The proposed rationale is that wide price…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

This Chinese equity screen selects stocks with a daily high-low range above a stated threshold, prior-day trading activity above a stated amount, and ownership concentration no greater than 70%. The note interprets range and trading activity as signs of…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This Chinese stock-screening note describes selecting companies associated with the metaverse theme, requiring the five-day moving average to rise from its prior value, and excluding STAR Market listings. It gives equivalent screening logic for a market-data…

EquitiesChina marketsMomentumTechnical indicators