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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

31,205 documents

SuperMind

This Chinese stock-screening article describes a rule-based selection method combining daily price amplitude, a weekly moving-average crossover, and circulating market capitalization. It targets shares whose weekly five-period moving average crosses above…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

This Chinese A-share screening concept selects stocks whose daily high-low range exceeds a stated threshold, excludes stocks that reached the daily price limit the previous day, and ranks the remaining names by individual-stock market heat. The rationale is…

EquitiesChina marketsMomentumSentiment
MQL5 code base

This document describes an Expert Advisor based on the 2pbIdealXOSMA indicator. It opens a trade when the indicator’s histogram changes direction, with the signal evaluated at the close of a bar. The described setup is a rules-based technical approach whose…

ForexTechnical indicatorsBacktestingRisk management
backtesting.py

This tutorial demonstrates parameter optimization and result analysis using a moving average crossover strategy with separate averages for trend, entry, and exit decisions. It first applies randomized grid search across constrained parameter combinations and…

BacktestingTechnical indicatorsEquitiesStatistics
MQL5 code base

This document describes an Expert Advisor strategy that uses the XDeMarker_Histogram_Vol_Direct indicator. It opens trades when a bar closes and the indicator histogram changes direction, shown by a change in the color of its star markers. The description…

ForexTechnical indicatorsBacktesting
SuperMind

This document presents an equity screening rule that combines daily price range with MACD histogram behavior on two time scales. It seeks stocks whose amplitude exceeds a threshold, whose 15-minute MACD histogram is negative but contracting, and whose weekly…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

The document describes the MIT oscillator, a momentum measure anchored to a user-selected time of day. It compares the current bar’s price with the price at the specified start time, producing a price difference that tracks movement since that anchor. Two…

MomentumTechnical indicators
MQL5 code base

This Expert Advisor uses the Fractal Weight Oscillator to generate signals at bar close. It buys when the oscillator crosses upward through its oversold level and sells when it crosses downward through its overbought level. A higher-timeframe indicator is…

ForexTechnical indicatorsMean reversionBacktesting
SuperMind

This post describes a Chinese equity screen that combines a 14-period RSI below 65 with membership in the beverage and alcohol import-export industry, Shenzhen main-board listing, and specified price-to-earnings and price-to-book ranges. It presents the…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This post describes an equity screen restricted to the metaverse industry. It selects companies with simultaneous bullish crossovers in MACD, the five-day and ten-day moving averages, and the five-day and twenty-day moving averages. It further requires…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This assignment response translates two discretionary stock approaches into rule-based proposals. One combines recent institutional fund inflows, positive company earnings, improving per-share profit, elevated trading volume, and a price ceiling relative to…

EquitiesMomentumTechnical indicatorsBacktesting
SuperMind

This Chinese stock-screening post proposes selecting shares with daily amplitude above 1, more than one year since listing, and seven consecutive down sessions. The author frames large amplitude as a sign of active trading and the extended decline as a…

EquitiesMean reversionTechnical indicatorsRisk management
BigQuant

This meetup Q&A contrasts futures CTA strategies, often framed around trend following, with equity multi-factor strategies that combine signals such as value, momentum, quality, and size. It outlines a Bollinger Band example for futures: calculate a…

FuturesEquitiesTrend followingTechnical indicators
SuperMind

This document describes a Chinese equity screen that combines a 14-period RSI below 65, market capitalization of at least 200 million, and earnings growth in 2021. It presents the screen as a way to join a technical condition with size and fundamental growth…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

The document describes a Chinese stock screen using ranked fund-flow strength, a 2019 dividend ratio above 25%, and a 15-minute MACD histogram whose negative bars are shortening. The MACD condition is presented as a possible sign of improving short-term…

EquitiesMomentumTechnical indicatorsSentiment
SuperMind

The document presents a Chinese equity screen combining a daily price range greater than 1%, market capitalization below 10 billion yuan, positive net profits over the latest four quarters, and a share price of at least 18.5 yuan. It frames these conditions…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This stock-selection approach combines a daily turnover band of 3% to 12%, a positive product of price change and large-order net flow, and a Morning Star candlestick signal associated with Kute Intelligent. The document describes the pattern as a way to…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This document presents an A-share selection rule combining turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and an intraday range of at least 1% relative to the prior close. It frames turnover and range as measures…

EquitiesTechnical indicatorsVolatilityMarket microstructure
SuperMind

This proposed daily screen selects stocks in the metaverse sector when KDJ has just formed a bullish crossover and the previous trading day was not a limit-up session. It proposes making the selection before 10 a.m. for trading on the same day. The note…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed stock screen combines a daily volatility filter, a price trend signal, and a profitability criterion. It looks for stocks with an intraday range above 1%, a close crossing above a five-period moving average, and return on equity above 15% for…

EquitiesTechnical indicatorsTrend followingFactor investing
SuperMind

This proposed screen targets stocks classified in the metaverse sector that show a bullish MACD crossover and had a dividend ratio above 25% in 2019. It aims to combine a technical signal with a historical shareholder-payout measure. The article describes…

EquitiesTechnical indicatorsMomentumChina markets
ProRealCode

This indicator estimates how often price has crossed levels above the prior candle’s high or below its low, separated according to whether that prior candle was bullish or bearish. It displays the historical percentages at several successive levels on the…

Technical indicatorsBreakoutStatisticsRisk management
MQL5 code base

This indicator displays the daily change over a selected number of bars and can play configured alert sounds when the current bar reaches a specified limit. Its purpose is to make a chosen change threshold visible and noticeable on a chart. The document…

Technical indicators
MQL5 code base

This indicator counts consecutive identical candles across currency pairs and lets the user change the displayed text size. Its proposed use is to notice when a long run of matching candles may precede a correction or reversal. The description provides a…

ForexTechnical indicatorsMean reversion