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

29,558 documents

BigQuant

This research review examines whether mutual-fund outflows provide a clean measure of nonfundamental pressure on stock prices. It decomposes the MFFlow measure into components tied to the inverse of returns, the inverse of turnover, and relative fund selling…

EquitiesStatisticsMarket microstructureRisk management
MQL5 code base

CandleStop Cloud is described as a chart indicator that displays trailing stop levels alongside a channel whose background color changes. It also presents the latest indicator values as price labels, allowing a trader to see the stop levels directly on the…

Technical indicatorsRisk managementTrend following
Freqtrade docs

The document explains lookahead bias: a backtest can accidentally use future candle data because the full historical dataframe is loaded before indicators and signals are calculated. This can make results appear unrealistically strong. It describes an…

BacktestingRisk managementMachine learningStatistics
vn.py community

This forum exchange clarifies how VeighNa's local stop orders are displayed and triggered. The price shown in the stop-order interface is the trigger price, rather than the price of the limit order that may be sent after triggering. A user reports that…

ExecutionRisk management
SuperMind

This Chinese-language forum exchange discusses excluding special-treatment, suspended, and delisted shares from a stock universe. A reply provides two approaches based on historical name-change records: retrieve securities available around the relevant date,…

EquitiesChina marketsRisk managementExecution
MQL5 code base

This EUR/USD strategy is described for a 30-minute chart and aims to participate in both short ranges and larger trends. It opens buy or sell positions when a one-period smoothed moving average crosses the 200-period smoothed average. It then uses crossovers…

ForexBreakoutTrend followingTechnical indicators
Freqtrade

This five-minute long-only strategy combines a fast stochastic oscillator, an ADX strength filter, and short EMAs. It enters when the opening price is below the five-period EMA of lows, the stochastic %K crosses above %D while both remain below a tunable…

Technical indicatorsMomentumRisk managementBacktesting
SuperMind

This screening concept combines three conditions: intraday range greater than 1, at least one daily gain of 10% or more during the preceding 25 trading days, and a current gain between -5% and 2.6%. It aims to find shares that have shown a sharp prior move…

EquitiesChina marketsVolatilityMomentum
MQL5 code base

This indicator identifies and draws support and resistance zones using fractals and the Average True Range (ATR). It classifies zones as weak, untested, verified, proven, or broken, based on their relationship to price turns and prior tests. The description…

Technical indicatorsRisk management
vn.py community

The discussion explains that the number of contracts a default VeighNa strategy can subscribe to depends on available CPU, memory, and network capacity, as well as strategy complexity and the frequency of incoming market data. Tick feeds generally require…

ExecutionRisk management
ProRealCode

This guide explains how a strategy developer can use metadata attached to a rental registration code to set different usage limits for different customers. The strategy reads the metadata at runtime and maps its value to a configured limit. The example uses…

Spot marketsRisk managementPosition sizingExecution
MQL5 code base

This document describes an automated system that combines trend and momentum filters with grid entries. It uses an exponential moving average to assess trend and the relative strength index for confirmation, opening an initial position only when both…

ForexTrend followingGrid tradingMomentum
SuperMind

This stock-selection proposal combines three filters: membership in the metaverse sector, positive institutional activity, and a positive share-price return during 2021. It frames institutional buying as a potentially useful signal and past gains as evidence…

China marketsEquitiesMomentumSentiment
MQL5 code base

This document describes an Expert Advisor that trades signals from thirty popular candlestick patterns. Users can enable or disable individual patterns or groups based on whether they use one, two, or three bars. The document explains configurable trade…

Technical indicatorsExecutionRisk managementPosition sizing
BigQuant

This roundtable transcript gathers views from Chinese investment managers, researchers, and futures professionals on the development of quantitative investing. Participants discuss the tension among scale, returns, and risk; the challenge of declining or…

Multi-assetFactor investingMachine learningMarket microstructure
MQL5 code base

This document outlines an expert advisor intended for XAUUSD on a 15-minute chart. It combines RSI entry filtering with recovery entries spaced according to ATR, plus market-structure checks based on lower lows, lower highs, and support conditions. Position…

CommoditiesTechnical indicatorsVolatilityRisk management
MQL5 code base

This document describes a MetaTrader 5 script that opens a buy or sell position at the current market price and attaches a stop-loss and take-profit when placing the order. The stop-loss and take-profit distances are specified in pips, and the script also…

ExecutionRisk managementPosition sizing
MQL5 code base

The described Expert Advisor seeks reversal trades by checking for divergence in RSI, MACD, and the Stochastic Oscillator. It uses a configurable minimum confirmation count, so a signal can require agreement from multiple oscillators rather than relying on a…

Technical indicatorsMomentumRisk management
MQL5 code base

This short description outlines an Expert Advisor built to demonstrate a trading system using a ZigZag Fibonacci indicator. The indicator places Fibonacci levels and stores their corresponding price values in buffers, allowing an expert program to retrieve…

ForexBreakoutTechnical indicatorsRisk management
SuperMind

The post proposes a stock screen combining a daily high-low range threshold, rising price lows, and return on equity above 15% for five consecutive years. Its rationale is to pair a technical sign of improving price support with a record of strong…

EquitiesChina marketsFactor investingTechnical indicators
MQL5 code base

The document describes a tool for checking whether a trader’s actions and recent outcomes are associated with subsequent losses. It trains a neural network on eight features from closed trades, then reports validation accuracy relative to a majority-class…

Machine learningStatisticsRisk managementPosition sizing
SuperMind

This equity screen combines a daily turnover range of 3% to 12%, year-over-year net profit growth greater than 20% and no more than 100%, and a candlestick pattern described as a morning star. The post presents formula and Python examples for applying these…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This brief description presents an expert advisor intended to manage exits using a percentage-based threshold. It says the robot will close a position when floating profit reaches a configured level, and lists a stop-loss parameter tied to a loss amount…

Risk managementPosition sizingExecution
MQL5 code base

This expert advisor is described as a multi-pair breakout system. It estimates support and resistance for selected currency pairs, places incremental orders, and manages positions after a combined profit threshold is reached by attempting to trail gains…

ForexBreakoutRisk managementPosition sizing