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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

29,558 documents

SuperMind

This A-share screening proposal looks for stocks with a daily range above 1%, a positive but limited 10-day gain, and a current session low below the prior session’s low. The post interprets the range and return filters as signs of recent strength, while the…

China marketsEquitiesMomentumTechnical indicators
NautilusTrader

This documentation explains how an execution algorithm receives a primary order and can break it into spawned orders. Its built-in TWAP implementation divides an order across a configured time horizon and interval, submitting the first slice immediately and…

ExecutionMarket microstructureRisk managementBacktesting
ProRealCode

This intraday EUR/USD strategy looks for an unusually large one-hour candle, defined by an open-to-close move greater than twice the 12-period average true range. It enters long when that candle closes above its open and short when it closes below its open,…

ForexBreakoutVolatilityTechnical indicators
MQL5 code base

This expert advisor uses a moving average to generate directional entries. Four consecutive declining moving-average values establish a downward trend condition, with a price rebound above the latest average triggering a sell; four rising values establish an…

ForexTechnical indicatorsPosition sizingRisk management
SuperMind

This Chinese-language post describes an equity screening rule combining price amplitude above a threshold, a rounded or arc-like price pattern, and a signal that the stock was controlled by major traders on the previous day. It presents the combination as a…

EquitiesTechnical indicatorsRisk management
ProRealCode

This long-only daily strategy seeks short-term rebounds in equity index CFDs while limiting entries to prices above a 200-period moving average. It sums RSI readings over the most recent two periods and enters when this cumulative measure falls below 35,…

EquitiesMean reversionTechnical indicatorsRisk management
SuperMind

This stock-selection idea combines three filters: a daily trading range above one percent of the previous close, a stock code beginning with 60, and a positive afternoon large-order flow signal. The code example operationalizes the range and code filters,…

EquitiesChina marketsTechnical indicatorsMarket microstructure
BigQuant

This April 2020 market note reviews a sharp decline in Chinese equities amid weakening fundamentals and falling investor sentiment. It reports that large- and small-cap indexes had similar declines, while consumer and utility sectors held up better and…

EquitiesChina marketsPortfolio constructionRisk management
SuperMind

This note outlines a screen for Chinese equities associated with the robotics concept. It combines turnover between 3% and 12%, floating market capitalization below 10 billion yuan, and a ratio of 2021 revenue to 2018 revenue above 1.1. The post includes…

EquitiesChina marketsFactor investingRisk management
SuperMind

This note describes a Chinese A-share filter combining a turnover rate between 3% and 12%, a Dragon-Tiger list appearance the previous day, and a floating market capitalization between 5 billion and 10 billion yuan. It presents this as a way to find actively…

EquitiesChina marketsMarket microstructureRisk management
MQL5 code base

The method treats signals from an indicator as candidate highs or lows rather than immediate trade entries. It uses zigzag-style logic to connect candidate pivots and checks whether each candidate can form a geometrically plausible leg. A candidate that…

Technical indicatorsBreakoutRisk management
BigQuant

This Chinese-language research summary discusses forecasting stock-selection factor returns after commonly used factors became more volatile. It focuses on screening timing variables with Lasso and Elastic Net regression, then extending factor timing with…

EquitiesFactor investingMachine learningBacktesting
BigQuant

The post raises a backtesting concern: a user observes that a stock delisted on one date still appears sellable on a later scheduled rebalance date. A reply explains the platform behavior as a special backtest-engine rule: when a strategy does not handle a…

BacktestingEquitiesRisk management
MQL5 code base

This manual trading script places market or pending orders from a chart. Pending entries can be set at an absolute price or at a point distance from the current price, and can have an optional expiration. Stop loss can likewise be specified by price or…

Position sizingRisk managementExecution
MQL5 code base

This document describes a MetaTrader 5 utility for reviewing terminal global variables, which Expert Advisors often use to preserve state such as trade timestamps, balance references, and lock flags. Users can list or export variables, delete filtered…

ExecutionRisk management
BigQuant

This research summary proposes measuring capital flows between large-cap and small-cap styles to identify when style investors are shifting allocations. It treats flow intensity as a signal of changing conviction and risk: when intensity is high, investors…

EquitiesFactor investingStatisticsRisk management
SuperMind

This proposed stock screen combines three ideas: institutional buying activity above a stated share of trading volume, reported institutional accumulation near a price low, and a positive but capped ten-day gain. The article presents the combination as a way…

EquitiesMomentumSentimentChina markets
SuperMind

This proposed stock screen combines three conditions: amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and a morning-star candlestick pattern. The document treats the amplitude filter as a way to find volatile stocks,…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

The document proposes screening equities in the beverage and alcohol import-export industry using a relative strength index (RSI) threshold and a weekly moving-average crossover. Its initial description uses a cross above the 30-week average, while its final…

EquitiesChina marketsTechnical indicatorsTrend following
BigQuant

The submission contrasts discretionary and quantitative investing. It describes quantitative work as gathering and cleaning high-dimensional data, calculating factors, and using rules to make trades programmatically. It also suggests that machine learning…

Machine learningFactor investingExecutionRisk management
SuperMind

This document explains the purpose and use of a repository of example strategies for Jesse, a trading research platform. The examples are intended to demonstrate different implementation approaches, indicators, and strategy functions. Users can copy a…

BacktestingTechnical indicatorsRisk management
MQL5 code base

This document describes an Expert Advisor that runs two SilverTrend-based trading systems, one for long positions and one for short positions. Each side has separate settings, including its own identifier, trade sizing mode, and controls for permitting…

ForexTrend followingPosition sizingRisk management
SuperMind

This post outlines a Chinese equity screen for companies associated with the metaverse theme. It combines an RSI reading below 65 with market capitalization below 10 billion yuan and a history described as having no losses. It also mentions filtering for…

EquitiesChina marketsTechnical indicatorsRisk management