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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

MQL5 code base

This description presents a trading-platform header library intended to let Expert Advisors submit buy, sell, and modification requests asynchronously. Its central idea is to avoid making the strategy wait for a server response after each order, allowing…

ExecutionMarket microstructureRisk managementHigh-frequency trading
SuperMind

This brief strategy description selects the 30 stocks with the smallest market capitalizations and allocates equal weights to them. It rebalances on the first trading day of each month and excludes ST-designated shares, the STAR Market, and the Beijing Stock…

EquitiesFactor investingPortfolio constructionChina markets
SuperMind

This post outlines a Chinese A-share selection rule combining a technical indicator, earnings growth, and a measure described as previous-day major-holder control. Candidates must have a 14-period RSI below 65 and parent-company net profit growth above 20%…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This Chinese-language post describes a stock screen for companies classified in the metaverse sector. It selects shares trading above their five-day moving average and with a volume ratio above 1.5 but below 6. The post defines the ratio as current volume…

EquitiesTechnical indicatorsChina markets
MQL5 code base

This indicator description explains a charting tool inspired by Stanislav Chuvashov's wave theory. It uses a modified Zig Zag to distinguish impulse waves from corrective waves, color upward and downward sequences differently, and label wave lengths at…

Technical indicatorsBreakoutTrend following
SuperMind

This Chinese A-share screening idea selects stocks in the metaverse industry when their average price is above the five-day moving average and a weekly chart shows a red bar. It presents these conditions as signs of upward price momentum. The article also…

China marketsEquitiesMomentumTechnical indicators
Awesome Systematic Trading

The document describes a monthly allocation rule based on a yield gap: the difference between an earnings yield measure for the S&P 500 and the yield on a ten-year Treasury bond. It fits a linear regression using historical yield gaps and stock market…

EquitiesFixed incomeFactor investingBacktesting
BigQuant

The document summarizes a study of deep value episodes, defined as periods when the valuation gap between cheap and expensive securities is unusually wide relative to its history. The study examines individual stocks across global markets, equity index…

Multi-assetFactor investingEquitiesFutures
MQL5 code base

The Absolute Strength Oscillator (ASO) is described as a trend-following indicator that compares bullish and bearish forces to represent the current market trend. Its configurable inputs include the calculation period, smoothing period, mode, calculation…

Technical indicatorsTrend followingStatistics
SuperMind

The strategy screens Chinese stocks in the beverage and alcohol import-export sector for a turnover rate between 3% and 12%, then ranks qualifying names by the day’s auction trading value and selects the top five. The document frames auction value as a…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This indicator displays DeMarker oscillator conditions across ten timeframes to give a compact view of current market trends. Each line represents an indicator on a separate timeframe. Its color marks whether the oscillator is below the oversold threshold,…

Technical indicatorsTrend followingMulti-asset
MQL5 code base

The document describes a script intended to compare how much an asset moves across trading days. Its single input is the number of trading days to include. The proposed workflow is to analyze historical data and convert the output into a column chart, making…

StatisticsTechnical indicatorsRisk management
Lumibot

This document explains how to connect to BitMEX through Lumibot’s CCXT broker interface using an explicit exchange configuration and API credentials. It notes that BitMEX is not among the globally auto-detected credential paths, and identifies the exchange…

CryptoDerivatives pricingBacktestingRisk management
Cryptohopper blog

The article presents developments in 2021 as signs that cryptocurrencies, especially Bitcoin, were gaining acceptance as an investment asset and payment method. It points to Tesla’s Bitcoin purchase, banks exploring custody, payment firms adding digital…

CryptoSpot marketsEvent-drivenSentiment
SuperMind

This Chinese-equity screen combines three conditions: rank stocks by volume ratio and retain the top 100, select stocks opening near the 10-day moving average, and require the 20-day moving average to exceed the 120-day average. The post interprets high…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This screening rule selects Chinese stocks when daily MACD is positive, the 20-day simple moving average is above the 120-day average, and amplitude exceeds the stated threshold of one. The post describes applying the conditions before the open to produce a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article presents a discretionary short-term approach to Chinese equities built around market narratives. It argues that traders should identify a compelling catalyst, assess whether expectations differ materially from current perceptions, and look for…

EquitiesChina marketsEvent-drivenMomentum
BigQuant

A BigQuant user reports that a simulated run fails at a missing-data cleanup step, even though the backtest sample contains two rows. The discussion distinguishes the historical backtest data from the prediction data used during simulation, which may be…

BacktestingEquitiesChina markets
MQL5 code base

The document explains a simple transformation of the Relative Strength Index (RSI) into a bounded indicator. It takes an RSI value for a selected period and price input, subtracts a baseline, and multiplies the difference by a sensitivity factor. The result…

Technical indicatorsEquitiesForex
BigQuant

This research summary tests whether hedge funds can time sector-specific returns and whether that ability predicts subsequent performance, flows, and survival. The study first removes market exposure from industry returns, then estimates fund-level timing…

Multi-assetFactor investingStatisticsEvent-driven
Amberdata research

This market commentary surveys crypto conditions around the period following Ethereum’s Shapella upgrade. It describes a permit-signature scam risk: gasless token approvals can look like ordinary wallet signatures, making it difficult for users to recognize…

CryptoExecutionMarket microstructureFutures