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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

NautilusTrader

This documentation explains platform support for listed, crypto, spread, and binary options, including differences in their metadata and identifiers. It describes subscribing to venue-provided Greeks either for an individual contract or for a series-level…

OptionsCryptoDerivatives pricingBacktesting
vn.py community

This forum exchange discusses modeling different futures commission schedules by contract, including cases where closing a position opened the same day incurs a higher fee. It says the backtester’s basic settings handle percentage fees and describes fixed…

FuturesBacktestingExecution
SuperMind

This document describes a Chinese A-share stock screen using turnover between 3% and 12%, market capitalization below 10 billion yuan, positive net income, and a control ratio above 21%. It frames the control ratio as a measure for narrowing the pool after…

EquitiesChina marketsFactor investing
MQL5 code base

The document presents the Repulse oscillator as an indicator for identifying possible price rebounds or pullbacks near strong levels. It has a Repulse period and a signal period, which control the oscillator calculation and its signal line. The calculation…

Technical indicatorsMean reversionStatistics
SuperMind

The document outlines a Chinese stock selection screen combining daily price amplitude above 1, RSI below 65, and a daily position-increase ratio above 5%. It interprets the amplitude and RSI filters as technical conditions and the increase ratio as a sign…

EquitiesTechnical indicatorsMomentumStatistics
MQL5 code base

The document explains the Guppy multiple moving average indicator as two groups of exponential moving averages. One group uses periods 3, 5, 8, 10, 12, and 15 to represent short-term trading activity; the other uses periods 30, 35, 40, 45, 50, and 60 to…

Technical indicatorsTrend followingEquities
ProRealCode

The document describes a long-only stock strategy that trades when the closing price is above a rising 200-period moving average. It uses a faster and a slower moving average as a crossover trigger: a bullish cross opens a position, and a bearish cross…

EquitiesTrend followingTechnical indicatorsPosition sizing
SuperMind

The document proposes a Chinese stock-screening rule combining three conditions: today’s increase in shareholding proportion exceeds a threshold, large-order net inflow is positive during the afternoon, and the 30-day moving average is rising. The stated…

EquitiesMomentumTechnical indicatorsStatistics
MQL5 code base

The document describes an indicator that constructs a sliding line using fourth-degree polynomial interpolation, then extrapolates it with a sine wave. It refers to alternative shapes for the extrapolated line, including nearly constant behavior and a…

Technical indicatorsStatistics
MQL5 code base

The document describes a way to distinguish results when multiple Expert Advisors (EAs) and manual trades share one account. An account-level equity curve combines their activity, making it hard to see which systems generated gains, stopped trading, or…

ExecutionStatistics
SuperMind

The document describes a short-term equity screen for main-board stocks. It selects shares with turnover between 3% and 12%, a K indicator below 20, and a daily gain above 1%. The post also gives a reference expression and a sample Python workflow that…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This brief support discussion addresses a backtest failure in a modular trading strategy. The response suggests that module m22 may not be receiving data from its upstream input, and recommends checking that connection and whether the input actually contains…

Backtesting
SuperMind

This note presents a Chinese-equity screening approach that ranks stocks by relative volume and selects prices between the middle and upper Bollinger Bands, while also considering an early-session gain threshold. Its initial description uses a gain below 6%,…

China marketsEquitiesTechnical indicatorsVolatility
Amberdata research

The guide explains how impermanent loss arises when the relative prices of two tokens change while they are held in an automated market maker (AMM) liquidity pool. It contrasts a liquidity position with simply holding the deposited assets, describes how…

CryptoDeFiRisk managementBacktesting
BigQuant

This tutorial describes how to create a forward-looking label for whether a Chinese stock will close limit-down, outside a price limit, or limit-up on the next trading day. It uses a precomputed stock factor table and a price-limit status field whose values…

EquitiesChina marketsStatisticsBacktesting
SuperMind

This stock selection method focuses on companies classified in the metaverse industry. It filters for a volume ratio between 1.5 and 6 and then keeps stocks in the top 10% by large-order net flow. The intended idea is to find shares experiencing elevated…

EquitiesChina marketsMarket microstructureMomentum
SuperMind

This proposed stock screen combines a technical condition with a dividend measure. It calls for RSI below 65, a positive product of percentage price change and a large-order net-flow measure, and a 2019 dividend ratio above 25%. The article describes the…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This A-share screening rule combines daily turnover between 3% and 12%, market capitalization below 10 billion yuan, a profitability condition based on return on equity, and price amplitude above 1. It is intended to focus on smaller companies that are…

EquitiesFactor investingRisk managementChina markets
SuperMind

This A-share stock screen selects shares with a 14-period RSI below 65, a circulating market capitalization between 5 billion and 10 billion yuan, and no limit-up close on the previous day. The stated rationale is to use RSI as a short-term weakness filter,…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with three consecutive sessions in which the close is below the open, plus a stated control-ratio threshold. The article frames the conditions as a way to find technically weak stocks that may…

EquitiesTechnical indicatorsMean reversionChina markets
BigQuant

This indicator description covers a chart tool that plots multiple Hull Moving Average periods together, with each line colored according to whether it is rising, falling, or flat. Users can configure it to show two, three, or four Hull lines, allowing…

Technical indicatorsTrend following