Skip to content

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

BigQuant

The document explains how to find the highest and lowest closing prices over roughly two years using rolling time-series maximum and minimum functions. It treats two years as about 400 trading days and applies those functions to the closing-price series,…

EquitiesTechnical indicatorsStatistics
SuperMind

The screen combines three conditions: a stock belongs to the metaverse concept group, its 30-day moving average is rising, and it has closed lower for three consecutive sessions. The article frames this as a way to find stocks in a selected theme that have…

China marketsEquitiesTechnical indicatorsMomentum
vn.py community

This Chinese-language forum post examines how a futures gateway updates a position object’s prior-day volume while processing investor-position responses. The shown handler creates or retrieves a position by instrument and position direction, then applies…

FuturesExecution
MQL5 code base

This manual trading script places market or pending orders from a chart. Pending entries can be set at an absolute price or at a point distance from the current price, and can have an optional expiration. Stop loss can likewise be specified by price or…

Position sizingRisk managementExecution
MQL5 code base

This indicator displays Bollinger bands with a colored cloud. It has two configurable inputs: the calculation period and the deviation. The document describes the cloud’s color as a visual cue for price crossing a band: blue for an upper-band crossing and…

Technical indicatorsVolatility
MQL5 code base

This document describes a MetaTrader 5 utility for reviewing terminal global variables, which Expert Advisors often use to preserve state such as trade timestamps, balance references, and lock flags. Users can list or export variables, delete filtered…

ExecutionRisk management
MQL5 code base

The document explains the Generalized DEMA (GD) moving average, which combines a price’s exponential moving average with a second exponential smoothing of that average. A volume factor controls the secondary smoothing contribution, while the period and…

Technical indicatorsStatistics
BigQuant

This research summary proposes measuring capital flows between large-cap and small-cap styles to identify when style investors are shifting allocations. It treats flow intensity as a signal of changing conviction and risk: when intensity is high, investors…

EquitiesFactor investingStatisticsRisk management
SuperMind

This post outlines a Chinese equity screening rule that ranks stocks by relative volume and selects the top 100, then filters for a positive but bounded return over ten days and a 20-day moving average above the 120-day average. The combination is intended…

EquitiesMomentumTechnical indicators
MQL5 code base

This document introduces an extended version of an asymmetric bands oscillator. The stated addition is an estimate of how much weight price has within the current trend, along with an attempt to estimate the effect of that weight on trend formation. It…

Technical indicatorsTrend followingMomentum
MQL5 code base

XvaMA is described as a moving-average indicator whose averaging algorithm can be changed. The document identifies it as an MQL5 implementation and says it relies on classes from a separate smoothing-algorithms library. It points to prior documentation of…

Technical indicatorsTrend following
BigQuant

This short weekly report summarizes a divided Chinese equity market, with major indices moving in different directions. It compares the reported changes in the Shanghai Composite, CSI 500, ChiNext, and CSI 300, then notes that most of the covered long…

EquitiesChina marketsMomentumPortfolio construction
SuperMind

The document describes a Chinese equity screen combining three conditions: daily price range above a threshold, circulating market capitalization above a threshold, and a positive daily MACD. It presents these as filters for volatility, company size, and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening proposal combines daily price range, market capitalization, profitability, moving averages, and valuation. It seeks stocks with at least a one percent high-to-low range, positive net profit, market capitalization up to 10…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

This note describes a candlestick presentation of the JSatl indicator. Rather than showing the algorithm’s output in its usual form, the indicator processes the relevant price time series through JSatl and displays the resulting values as a sequence of…

Technical indicators
MQL5 code base

This document describes a higher-timeframe version of the KWAN_CCC indicator for MetaTrader 5. A timeframe input lets the user choose the period from which the indicator displays its readings, with a four-hour period shown as the default example. The note…

Technical indicators
SuperMind

This proposed stock screen combines three ideas: institutional buying activity above a stated share of trading volume, reported institutional accumulation near a price low, and a positive but capped ten-day gain. The article presents the combination as a way…

EquitiesMomentumSentimentChina markets
BigQuant

This brief market note reviews Chinese 50ETF options conditions for the week ending November 2. It reports that the ETF closed at 2.594 after gaining 3.1% for the week, while the trading-value put-call ratio fell from 0.754 on October 26 to 0.575. The note…

OptionsVolatilitySentimentChina markets
MQL5 code base

The document introduces a trading indicator built from crosses between two deviation-scaled moving averages (DSMAs). It attributes the underlying DSMA concept and the paired-cross idea to an article by John Ehlers published in TASC in July 2018. The…

Technical indicatorsTrend followingBacktesting
SuperMind

This A-share stock screen combines a positive MACD reading with an upward-moving average condition, then ranks candidates by the day’s auction amount and selects the top five. The article frames auction value as a possible sign of buying interest: stocks…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed stock screen combines three conditions: amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and a morning-star candlestick pattern. The document treats the amplitude filter as a way to find volatile stocks,…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

The document proposes screening equities in the beverage and alcohol import-export industry using a relative strength index (RSI) threshold and a weekly moving-average crossover. Its initial description uses a cross above the 30-week average, while its final…

EquitiesChina marketsTechnical indicatorsTrend following
BigQuant

This weekly market commentary reviews Chinese equity index moves and sector themes for August 8–14, 2022. It highlights Chiplet-related stocks and financial firms, linking the former to semiconductor packaging developments and the latter to expectations…

EquitiesChina marketsEvent-drivenCommodities