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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
Quantopian lectures
45 documents
Binance API docs
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

16,761 documents

BigQuant

This short support discussion explains why HFTrade applies a volume limit during high-frequency backtests and why that setting can prevent an order from filling completely. The discussion says volume caps may be poorly suited to minute and tick data, where…

High-frequency tradingBacktestingExecutionMarket microstructure
MQL5 code base

This page describes an expert advisor that measures the current spread, displays spread statistics on a chart, and prints collected statistics to the trading journal when it stops. The journal output can be used with a strategy tester to inspect historical…

ExecutionMarket microstructureBacktestingRisk management
BigQuant

This research summary outlines a strategic allocation model that maps Chinese equities and bonds to underlying macroeconomic risks. It uses principal component analysis to define five factors: economic growth, interest rates, credit, term spread, and…

Multi-assetEquitiesFixed incomeFactor investing
FinRL

The tutorial outlines an end-to-end FinRL workflow for training and comparing deep reinforcement learning agents on Dow 30 equities. It describes downloading and preprocessing market data, adding technical indicators plus VIX and a turbulence measure,…

EquitiesMachine learningTechnical indicatorsBacktesting
SuperMind

This Chinese equity screening idea selects stocks with RSI below 65, more than two limit-up sessions during the preceding ten days, and no limit-up on the prior day. Its final version adds a closing-price ceiling of 60 yuan and ranks candidates by stock…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screen seeks main-board stocks with a 14-period RSI below 65, three consecutive declining sessions, and a current-day gain exceeding 1%. It combines a momentum-style rebound condition with recent weakness and a market-segment filter. The…

EquitiesTechnical indicatorsMomentumChina markets
NautilusTrader

This documentation explains how to build Nautilus trading systems in Rust or Python. The Rust path supports actors, strategies, data and execution engines, risk management, backtesting, portfolios, and live trading; Python components can run on the shared…

ExecutionBacktestingMarket microstructureCrypto
MQL5 code base

This indicator description explains how to overlay candles from a selected historical date on a live chart. It aligns the replay zone with a matching region on the current chart, including aligning the last replay candle and current candle by opening price.…

Technical indicatorsEquitiesExecutionBacktesting
MQL5 code base

The document outlines a MetaTrader 5 utility for collecting candlestick history across multiple timeframes and writing it to a CSV file. It presents the export as a way to prepare price data for external analysis, record keeping, strategy backtesting, or…

BacktestingStatisticsExecution
SuperMind

This Chinese-language post presents an A-share screening idea combining three conditions: price amplitude above 1, a 9:25 gain below 6%, and the previous close above the 250-day moving average. It frames the filters as a blend of short-term volatility and…

EquitiesChina marketsTechnical indicatorsTrend following
MQL5 code base

This document describes Risk Guard, an account-level tool that monitors positions opened manually or by other trading systems. It does not generate trades. Its controls include risk-based lot-size estimates, a daily loss threshold, a cap on open positions,…

Risk managementPosition sizingExecutionBacktesting
MQL5 code base

This expert advisor uses signals from the NRatioSign indicator, with configurable upper and lower thresholds for overbought and oversold conditions. It offers two entry styles: trade when the indicator enters one of those zones, or wait until it exits the…

ForexTechnical indicatorsMean reversionBacktesting
SuperMind

The proposed screen focuses on stocks classified in the metaverse industry. It selects the five highest-ranked stocks by the day’s auction amount, then filters for prior-day trading value above the stated threshold. The post frames auction activity as a…

EquitiesChina marketsMomentumExecution
SuperMind

This stock selection rule screens Shanghai-listed shares for a turnover rate in a stated range and a bullish crossover of the five-week moving average above the ten-week moving average. The post presents the crossover as a way to find stocks with improving…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This short description outlines an expert advisor that trades when a ColorZerolag indicator cloud changes color. The stated trigger occurs at a bar close when the oscillator crosses its signal line, making the strategy a crossover-based entry approach. The…

ForexTechnical indicatorsBacktestingRisk management
SuperMind

This Chinese-language strategy post describes a stock screen for the metaverse industry. It looks for shares whose opening price is near the ten-day moving average and whose recent price bars meet a proposed “arc” shape condition. The technical formula…

EquitiesChina marketsTechnical indicatorsMachine learning
BigQuant

This Chinese equity research note proposes unexpected profitability as a source of stock-selection alpha. It measures operating profitability with return on net operating assets (RNOA), which separates operating activity from financing and is presented as…

EquitiesFactor investingStatisticsChina markets
SuperMind

This stock screen combines daily price amplitude, weekly MACD position, and recent limit-up activity. It selects equities with amplitude above 1%, a weekly MACD reading above zero, and at least two limit-up days in the past ten days. The accompanying…

China marketsEquitiesMomentumTechnical indicators
BigQuant

This document outlines a recurring BigQuant program for people developing quantitative trading skills. It has three stages: an online selection round in which participants submit factor models built from a provided template; training for selected entrants;…

Factor investingBacktestingMachine learningHigh-frequency trading
BigQuant

This project note describes iterative construction and evaluation of equity factors using amount, turnover, price, market capitalization, and price-to-book data. Candidate expressions combine standardized ratios and rolling statistics, including volatility,…

EquitiesFactor investingBacktestingMachine learning
BigQuant

This article describes a reproduction of residual network experiments on CIFAR-10, focusing on two changes from an earlier run: image augmentation and shortcut design. It pads training images by four pixels on each edge and randomly crops them back to the…

Machine learningBacktestingStatistics
MQL5 code base

This brief indicator note describes a QQE variant that applies RSI to a moving average rather than to price directly. It says this change produces results that differ substantially from conventional QQE and presents the modified indicator directly overlaid…

Technical indicatorsMomentumBacktesting
BigQuant

This document outlines a simple Chinese A-share strategy that ranks stocks by return on equity and selects the ten highest-scoring candidates. It describes filtering out special-treatment stocks, suspended shares, recently listed companies, and Beijing Stock…

EquitiesFactor investingPortfolio constructionBacktesting
SuperMind

The proposed equity screen looks for stocks with turnover between 3% and 12%, seven consecutive declining sessions, and a price pattern described as resembling a rounded base. The article presents formula examples for implementing the conditions and adds a…

EquitiesMean reversionTechnical indicatorsBacktesting