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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

1,116 documents

BigQuant

This opinion article argues that quantitative trading can intensify volatility in China’s A-share market and disadvantage investors who lack comparable speed or technology. It attributes these effects to strategies that respond to market rules and short-term…

China marketsEquitiesHigh-frequency tradingMarket microstructure
MQL5 code base

This document describes settings for a scalping Expert Advisor presented as a retracement strategy, intended for a five-minute chart and named for EUR/USD and NASDAQ stocks. It lists controls for moving-average lengths, trade size, maximum trades, stop loss,…

ForexEquitiesHigh-frequency tradingExecution
Hummingbot docs

The document explains Hummingbot’s configurable tick size, the interval at which its clock calls strategy components for another iteration. Connectors and strategies inherit from a time-iterator component, and the clock notifies these components on each…

ExecutionHigh-frequency trading
FMZ forum

This forum post asks how to monitor whether exchange limit orders have filled in a JavaScript trading loop. The example repeatedly requests the open and closed order list, checks for closed orders, logs fill details, and also processes webhook commands and…

ExecutionMarket microstructureHigh-frequency tradingRisk management
SuperMind

This article examines stop-loss decisions in frequently trading strategies, especially market making. It describes a method that adjusts order submission probabilities when market direction appears unfavorable, cancels resting orders, and tracks the…

CryptoMarket makingRisk managementExecution
BigQuant

This research summary describes adapting daily price-volume alpha research to intraday high-frequency data for stock selection. It examines relationships between price and volume, including ordinary and unusual activity, and reports constructing three…

EquitiesHigh-frequency tradingFactor investingStatistics
MQL5 code base

The document describes an order-flow indicator that monitors the rate and density of market data updates rather than relying only on cumulative volume. Its proposed method compares incoming tick activity with a moving baseline and its standard deviation,…

Market microstructureHigh-frequency tradingStatisticsExecution
SuperMind

This expert-advisor description outlines a tick-driven scalping system that compares short-window price returns with a rolling statistical baseline. It enters only when the move’s z-score exceeds a configurable threshold, then lets the user choose either…

ForexHigh-frequency tradingStatisticsRisk management
FMZ forum

This primer explains how electronic trading and venue fragmentation changed stock order execution. It distinguishes high-frequency trading as a way to implement strategies, such as market making or arbitrage, rather than a strategy in itself. It describes…

EquitiesHigh-frequency tradingExecutionMarket microstructure
vn.py community

The discussion addresses how a spread strategy should handle ticks arriving at different times for multiple contracts. It describes a latest-available-data approach: cache each leg’s most recent tick and recalculate the spread whenever any leg updates. This…

FuturesArbitrageHigh-frequency tradingMarket microstructure
vn.py community

This forum exchange concerns semi-automated trading with VeighNa’s CTA framework. The questioner runs a strategy without a graphical interface and wants to change parameters manually while it is active, using those changes to trigger a manual entry and…

ExecutionHigh-frequency trading
BigQuant

This research summary examines high-frequency equity factors built from minute bars, tick data, and transaction-level records. The factors capture intraday skewness, downside volatility, reversals, late-session trading, price-volume relationships,…

EquitiesChina marketsHigh-frequency tradingFactor investing
FMZ forum

This essay argues that quantitative, discretionary, short-term, long-term, active, and passive approaches coexist within a market ecosystem. It warns that historical models can fail in unusual conditions, crowded strategies may lose their edge, and…

Risk managementPortfolio constructionMarket microstructureHigh-frequency trading
MQL5 code base

The document outlines a tick-driven Expert Advisor that compares the current price with the price observed on the preceding tick. It identifies two static variables as the core implementation idea: because a static variable retains its value after a function…

Technical indicatorsHigh-frequency tradingExecutionBacktesting
Stratmill research code

This migration guide explains changes users must account for when moving HftBacktest strategies and data from version 1 to version 2. The key control-flow change is that functions such as the event-advance operation and order submissions now return status…

High-frequency tradingExecutionMarket microstructure
BigQuant

This research summary proposes a stock illiquidity factor based on the shortest path through intraday candlestick data. It aims to improve on a conventional proxy that relates price returns to trading volume, which the authors say can be unreliable during…

EquitiesFactor investingHigh-frequency tradingMarket microstructure
FMZ forum

The article describes joining the makers by placing a limit order at the current bid to buy or at the offer to sell, then waiting for execution. This can suit an investor without immediate time pressure who seeks a better entry or exit price. The investor…

ExecutionMarket microstructureHigh-frequency tradingEquities
Hummingbot docs

The document describes a partnership between Hummingbot and Binance focused on attracting algorithmic traders and expanding token liquidity-mining campaigns. Hummingbot is presented as software for automated crypto trading, including market making and…

CryptoMarket makingHigh-frequency trading
Stratmill research code

The README describes a market replay framework for researching high-frequency trading and market-making strategies. It reconstructs order books from detailed market data and simulates order and feed latency, queue position, and fills. Its tick-by-tick engine…

High-frequency tradingMarket makingBacktestingExecution
MQL5 code base

This document explains a MetaTrader library for accessing trading transaction data throughout a program, rather than only inside the transaction event handler. It presents this as a way to make asynchronous order workflows easier to build: a program can…

ExecutionMarket microstructureHigh-frequency trading
MQL5 code base

This document describes an MT5 indicator that measures price change over a user-defined number of seconds and displays the result in points and percentage. It uses tick history, so the described tool is limited to MT5. The displayed value can be based on…

ForexMomentumTechnical indicatorsHigh-frequency trading
Stratmill research code

This roadmap outlines development work for a quantitative trading toolkit spanning Python reporting, Rust backtesting, live trading, exchange connectors, orchestration, and examples. Its backtesting topics include Level 3 order-book simulation, combining…

BacktestingHigh-frequency tradingMarket microstructureExecution
FMZ forum

This article explains a method for increasing the frequency of observed commodity-futures market updates by subscribing to the same contract through multiple futures-company connections. Its premise is that each feed can deliver updates at different times…

FuturesChina marketsHigh-frequency tradingMarket microstructure
SuperMind

This short-term equity screen selects stocks whose turnover lies within a specified band, that appeared on the prior day's trading leaderboard, and that had positive pre-open auction turnover above a stated threshold. The document frames the combination as a…

EquitiesChina marketsMarket microstructureHigh-frequency trading