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

9,660 documents

MQL5 code base

Weekly VWAP is described as the cumulative sum of price multiplied by volume divided by cumulative volume, reset at the start of each trading week. It is plotted as a single chart line and serves as a reference for the week’s volume-weighted average trading…

Technical indicatorsExecutionTrend following
SuperMind

This screening rule selects Chinese stocks with turnover between 3% and 12% and year-over-year growth in net profit attributable to the parent company above 20% and up to 100%. It then ranks qualifying stocks by the day’s auction amount and chooses the first…

EquitiesChina marketsExecutionBacktesting
MQL5 code base

This chart indicator marks recurring intraday time points with vertical lines, using separate configurable colors, line styles, widths, and optional background shading. Its inputs define daily lines and three named time references, identified in the document…

Technical indicatorsExecutionMarket microstructure
MQL5 code base

This short description covers an expert advisor that tracks how long market orders have existed and generates an alert once for each order. It can retain its state across a terminal restart, write messages to a log, and use a configurable sound file stored…

ExecutionRisk managementMarket microstructure
Lumibot

This bot aims to mirror a named member of Congress’s reported stock holdings. A research agent checks House disclosure filings, using annual reports as the starting portfolio and applying later trade reports to update it. It excludes options, real estate,…

EquitiesPortfolio constructionExecutionUS markets
MQL5 code base

This document describes an expert advisor that trades changes in the direction color of a PercentageCrossover indicator. It generates a signal when a bar closes and the indicator changes direction, then allows trades to be restricted to a configurable daily…

ForexTechnical indicatorsTrend followingBacktesting
Binance API docs

This document describes an exchange execution rule that bounds the prices at which a taker order may fill, using upper and lower multipliers around a reference price. The applicable bounds can differ by buy or sell side and by direction. The reference price…

ExecutionMarket microstructureSpot marketsFutures
vn.py

This guide explains a configurable pre-trade risk engine that checks orders before they are sent through a trading API. Rules can be enabled in a JSON settings file and include symbol blacklists and whitelists, order size and value caps, cancellation limits,…

Risk managementExecutionPosition sizing
MQL5 code base

This Expert Advisor follows the BlauTVI trend indicator. It generates a signal when a bar closes and the indicator histogram changes direction. Users can enable a trading window and specify its start and end times. The default schedule covers the day from…

Trend followingTechnical indicatorsForexExecution
Qlib

This QlibRL example describes how to configure and run a reinforcement learning workflow for executing orders in one asset. The training setup defines a simulator with 30-minute steps, a categorical action space, a full-history state representation, a…

EquitiesExecutionMachine learningBacktesting
FMZ guides

This guide explains FMZ’s simulated-tick and real-tick backtesting modes. Simulated ticks are generated from candlestick data, while real-tick mode replays recorded tick data and can include depth and trade records. The guide describes the trade-off between…

BacktestingStatisticsRisk managementExecution
vn.py community

This short forum exchange addresses how to detect an invalid order price before submitting an order through VeighNa. The response says the framework does not generally filter prices in advance, although its graphical interface prevents users from entering…

ExecutionFutures
Hummingbot docs

This recap describes Hummingbot Miner’s first year, during which token issuers used rewards to attract decentralized market makers. It reports campaign participation, reward payouts, filled trading volume, and activity across Binance and a new KuCoin launch.…

CryptoMarket makingMarket microstructureExecution
SuperMind

This community post proposes a Chinese stock screen within the metaverse industry. It filters for prior-session actual turnover between 3% and 28%, an opening-auction price move ranked among the strongest in the market, and combined net buying by very large…

China marketsEquitiesMarket microstructureExecution
SuperMind

This document proposes screening stocks whose codes begin with 60, keeping those with turnover between 3% and 12%, then ranking them by a measure described as capital strength. The commentary presents the ranking as a way to identify actively financed market…

China marketsEquitiesExecution
Binance API docs

The document explains three spot-trading fee categories: standard commissions, tax commissions, and special commissions. It distinguishes account and symbol rate queries, which show current rates and buyer or seller components, from a test-order calculation…

Spot marketsExecutionRisk management
MQL5 code base

CloseAgent is presented as an automated position-closing tool that combines Bollinger Bands with the Relative Strength Index. It is intended to identify overbought or oversold conditions as potential exit points, particularly for residual positions near the…

Technical indicatorsRisk managementExecution
MQL5 code base

Liquidex_V1 is described as an educational automated trading system that seeks entries using a simple moving average and price range, then exits with a trailing stop. The account characterizes it as a very short-term approach and says it is intended for…

High-frequency tradingTechnical indicatorsExecutionVolatility
BigQuant

This podcast summary discusses crypto market structure, decentralized finance, governance, and emerging chain ecosystems. Its trading content centers on automated arbitrage between centralized exchanges: bots use exchange APIs to act on price differences,…

CryptoArbitrageExecutionMarket microstructure
vn.py community

This forum exchange clarifies a difference between ScriptTrader and VeighNa’s CTA strategy module. A user asks whether ScriptTrader supports stop orders, noting that the module is described as supporting multiple exchanges and instruments, hedging between…

ExecutionRisk managementFuturesEquities
BigQuant

This support exchange concerns a strategy that completes a backtest but errors during simulated trading, apparently when position information is unavailable. A reply says this kind of error commonly occurs when the code cannot retrieve the current holdings…

EquitiesExecutionBacktesting
vn.py community

This short forum thread concerns adding Longbridge broker connectivity to VeighNa, a quantitative trading framework. Participants note that the framework already has interfaces for Interactive Brokers and Futu, while expressing interest in Longbridge access…

ExecutionMarket microstructure
MQL5 code base

This MQL5 utility evaluates how sensitive a trading strategy’s historical results are to assumed execution costs. It reads closing-deal records containing dates, profits, and optionally volumes, then recalculates net profit and profit factor at the chosen…

ExecutionBacktestingRisk managementStatistics
MQL5 code base

This description outlines a MetaTrader 5 trade copier with a master account and one or more slave accounts. The master writes position information to a shared binary file, which slave instances poll to replicate changes. The copier is intended to synchronize…

ExecutionRisk managementMarket microstructure