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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

SuperMind

This Chinese-language post describes a stock screen that selects shares with turnover between 3% and 12%, an initial listing year of 2021, and a candle formation labeled a Kute Intelligence Morning Star. The pattern is framed as a possible reversal after a…

EquitiesTechnical indicatorsChina marketsBacktesting
ProRealCode

This document describes an oscillator that combines weighted and simple moving averages to create an SR line and a signal line. It also plots channel boundaries derived from recent highs and lows. A cross of the SR line above the signal line is presented as…

Technical indicatorsEquities
SuperMind

This A-share screening proposal looks for stocks with MACD above the zero line, a share price below 12 yuan, and revenue growth exceeding 10% over the prior three years. It combines a technical momentum condition and a low nominal price with a fundamental…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This A-share stock screen combines an amplitude threshold above 1, a prior-day 9:15 matched price at the limit-down level, and a rounded-bottom condition. The article offers CCI below -100 as a possible numerical proxy for the rounded shape, then gives…

EquitiesVolatilityMean reversionTechnical indicators
MQL5 code base

This implementation guide shows how a MetaTrader indicator or Expert Advisor can retrieve a day’s economic calendar from Forex Factory, parse event time, title, currency, and impact from the returned HTML, and store matching high-impact events. It filters…

ForexEvent-drivenExecutionMarket microstructure
SuperMind

This A-share screening proposal combines an RSI reading below 65, an outer-to-inner trading volume ratio above 1.3, and three consecutive declining closes. The article describes the conditions as a way to find stocks with weak recent price action that might…

EquitiesMean reversionTechnical indicatorsChina markets
MQL5 code base

FullSSA is described as a chart oscillator built on an SSA, or singular spectrum analysis, function library. The indicator redraws values in its most recent bars, with the length of that section controlled by a lag input. This behavior is central to…

Technical indicatorsStatistics
FMZ forum

This document outlines a basic program structure for a long-only spot cryptocurrency strategy. It separates the trading signal from the operational framework: the example has manual commands to open or close a position, while the user is expected to add the…

CryptoSpot marketsExecutionPosition sizing
SuperMind

This stock screen combines three filters: price amplitude above 1%, weekly MACD above zero, and a stock code beginning with 60. The document presents the MACD condition as a comparison of the MACD line with its signal line on the prior bar, alongside a…

EquitiesTechnical indicatorsChina markets
BigQuant

This discussion addresses a backtest in which purchases across two mornings totaled more than the stated initial capital. The explanation attributes the apparent overspending to the simulation’s timing convention: the backtest accesses that day’s completed…

EquitiesBacktestingExecutionRisk management
SuperMind

The article describes a Chinese stock-selection screen using an RSI below 65, a ratio of external to internal trading volume above 1.3, and a ranking by stock popularity. It presents these filters as a combination of technical conditions and measures of…

EquitiesChina marketsTechnical indicatorsSentiment
BigQuant

This essay argues that traders can develop intuition about leading stocks by participating in their price moves rather than relying only on charts or retrospective analysis. It frames market feel as accumulated experience with price rhythm, capital flows,…

EquitiesSentimentRisk managementPosition sizing
SuperMind

The document outlines a Chinese equity screen combining company size, recent trading activity, and an indicator described as capital strength. Its headline criteria are companies valued below 10 billion yuan, no losses, and previous-day turnover above 8%,…

EquitiesChina marketsMarket microstructureRisk management
Stratmill research code

This documentation landing page introduces ArbitrageLab, a Python library covering end-to-end pairs-trading strategies and tools for developing strategies. It organizes its subject matter around multiple approaches, including distance methods, cointegration,…

Pairs tradingMean reversionArbitrageMachine learning
BigQuant

The report overview describes MSCI’s CNE6 equity risk model for China A-shares. It organizes the model into descriptors, basic factors, and style factors, with style factors formed through two weighting stages. The model adds quality, sentiment, and dividend…

EquitiesFactor investingStatisticsChina markets
MQL5 code base

This brief indicator description presents a channel derived from the peaks and troughs identified by the AlexSTAL ZigZagProf indicator. It names the channel’s underlying swing-point method, but provides no formulas, parameter guidance, signal rules, or…

Technical indicatorsBreakout
vn.py community

A VeighNa forum exchange addresses why the middle and upper Bollinger values may appear as zero in a user interface. The question shows a middle band calculated with a simple moving average and upper and lower bands calculated through ArrayManager’s…

Technical indicators
BigQuant

This study examines stocks that attract investors seeking rare, extreme gains. It defines lottery-like stocks as those in the highest group when stocks are sorted into ten groups by their largest daily gain over the prior month. The proposed behavioral…

EquitiesMomentumFactor investingStatistics
SuperMind

This stock screen selects companies classified in the metaverse industry whose opening price is near the 10-day moving average and whose recent 10-day return is positive but below 35%. The article frames proximity to the moving average as a way to assess…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This brief description introduces a directional movement indicator developed by Wilder as an improvement to the PTP indicator. It presents two intended uses: identifying the market’s longer-term trend and showing how strongly price movement is directed. The…

Technical indicatorsTrend following
BigQuant

This report studies whether boosted tree models can extract stock return signals from analyst expectation factors that linear models may miss. The authors note that these factors can be complex, have substantial missing data, and correlate with earnings and…

EquitiesMachine learningFactor investingBacktesting
SuperMind

This short-term stock screen selects shares with an amplitude above 1 that appeared on the previous day’s trading leaderboard and whose first-level buy volume exceeds first-level sell volume. The document presents the combination as a way to identify stocks…

EquitiesChina marketsMarket microstructureTechnical indicators
MQL5 code base

This document describes a standalone indicator that combines the Commodity Channel Index (CCI) with a moving average to estimate the direction and strength of the current market trend. It supports four moving-average methods: simple, exponential, smoothed,…

Technical indicatorsTrend followingMulti-asset