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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

MQL5 code base

This Chinese-language post describes an equity screening rule that combines a daily price range threshold, a named morning star candlestick pattern, and at least one large single-day gain within the recent 25 trading days. It frames the screen as a way to…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese equity screen combines a turnover rate from 3% to 12%, a rising DEA condition, and a ten-day return above zero but below 35%. The article describes moderate turnover as a way to seek active trading without extreme activity, uses rising DEA as a…

EquitiesTechnical indicatorsMomentum
SuperMind

This stock screen combines three conditions: daily high-to-low range greater than one percent of the prior close, a ticker beginning with 60, and a 30-day simple moving average that is higher than on the previous day. The document interprets the range as a…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This post describes a stock screen based on price amplitude above 1 and large-order net volume above 0.05 for at least three consecutive days. It also adds a condition that stocks showed positive price changes during 2021. The article includes example Python…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

The document outlines a Chinese equity screening rule combining a turnover-rate range of 3% to 12%, seven consecutive declining days, and an opening-auction volume condition described as growth of more than 50% versus the prior day. It includes sample…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

The document briefly introduces a trend-strength version of an EMA variation indicator. It says the original calculation is retained while trend strength functions mainly as a filter, following the logic of a broader family of trend-strength indicators. It…

Technical indicatorsTrend following
SuperMind

The post outlines a Chinese equity screening idea combining daily price range, a low share-price threshold, and recognition of a Morning Star candlestick pattern. Its example implementations also apply a Bollinger-band closing-price condition, then show…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

This post proposes screening equities for daily amplitude above 1%, observations dated in 2021, and a price-change condition below 6%. It describes high amplitude as a sign of larger price swings and treats a modest historical gain as a possible entry…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This post describes an equity screen combining daily turnover between 3% and 12%, seven consecutive declining sessions, market capitalization below 10 billion yuan, and no losses in the preceding three years. It presents the screen as a way to pair recent…

EquitiesChina marketsMean reversionTechnical indicators
MQL5 code base

This document describes a version of a period-candle indicator with a user-selectable timeframe input. The example configuration sets the chart period to four hours by default, while the input permits selection of another timeframe. The purpose is to make…

Technical indicatorsMulti-asset
SuperMind

This indicator presents the direction of a color zero-lag JJRSX oscillator across ten timeframes. Each timeframe is represented by a square: green denotes a rising oscillator, pink denotes a falling oscillator, and gray denotes other conditions. The…

Technical indicatorsMomentumMulti-asset
MQL5 code base

This Chinese-language post outlines a screen for mainland Chinese equities in the metaverse theme. It selects stocks reported on the previous day’s trading list and requires the 30-day moving average to be rising versus its prior value. The post also…

EquitiesChina marketsTechnical indicatorsBacktesting
MQL5 code base

This document describes a CCI histogram indicator that adds averaging to the histogram and to its dynamic overbought and oversold levels. Its inputs allow the user to set the CCI period, applied price, volume type, threshold levels, smoothing method and…

Technical indicatorsStatisticsVolatility
SuperMind

This Chinese equity screen combines a daily amplitude threshold, circulating market value above 10 billion yuan, and a technical condition described as the start of a major upward move. Its reference formula checks whether the prior midpoint was below an…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

This Chinese equity screen combines a technical filter with size and liquidity conditions. It selects stocks with RSI below 65, circulating market value between 5 billion and 10 billion yuan, and prior-day trading value above 60 million yuan. The article…

EquitiesChina marketsTechnical indicatorsFactor investing
ProRealCode

This post outlines a daily long-short strategy for the S&P 500 using a two-period RSI. It opens a long position when RSI falls below a parameter and a short position when RSI exceeds a mirrored threshold. Long exits require RSI to recover to a separate…

EquitiesUS marketsMean reversionTechnical indicators
SuperMind

This note proposes a short-term Chinese equity screen combining price movement, activity, and fundamental filters. It selects stocks with an intraday range above 1%, at least one daily gain of 10% or more during the prior 25 trading days, and prior-day…

EquitiesChina marketsMomentumVolatility
MQL5 code base

This brief entry identifies FractalSystem as an indicator based on fractals. It credits Maloma as the original author and notes that the indicator was first implemented in MQL4 and published in 2007. The entry refers to an illustration of the indicator, but…

Technical indicators
SuperMind

The post outlines a Chinese equities screen combining three conditions: rank stocks by capital strength, select the top five by the day’s auction amount, and require the 15-minute MACD histogram’s negative bars to be shrinking. It interprets these filters as…

EquitiesTechnical indicatorsMomentum
MQL5 code base

This short description introduces a three-pole Butterworth filter used to smooth price or another selected input series. It characterizes the indicator as providing smoothing while using modest processing resources, making it a potential alternative for…

Technical indicators
ProRealCode

The article examines a z-score indicator whose automatic lookback selection is described as machine learning. It selects among ten fixed windows using price-trend fit, then trades z-score extremes as mean-reversion signals. The audit identifies problems in…

Mean reversionTechnical indicatorsMachine learningBacktesting
SuperMind

This document proposes an equity screen requiring daily price amplitude above a threshold, turnover within a specified band, and a nonempty name for an outstanding convertible bond. Its indicator reference expresses the range and turnover filters, then…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This document describes a short-term stock screen combining a minimum price range, an “arc-shaped” price pattern, and a recent two-session high. Its formula reference also checks that recent minute-level volume is rising across progressively longer windows,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document proposes screening A-shares by turnover between stated bounds, a positive but limited return over ten days, and a positive daily MACD. It frames turnover and recent price appreciation as signs of trading activity and favorable price behavior,…

EquitiesTechnical indicatorsMomentumChina markets