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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

MQL5 code base

This document outlines an automated strategy that trades breakouts from a price range during configurable trading hours. Its settings cover start dates, position volume, risk per order, stop-loss placement, take profit, trailing stops, partial exits, and…

BreakoutRisk managementPosition sizingBacktesting
Cryptohopper blog

The article explains diversification as spreading cryptocurrency exposure across tokens to reduce the damage from a weak or failed holding. It proposes grouping assets by industrial use case, ecosystem solutions such as protocols and service providers,…

CryptoPortfolio constructionRisk managementDeFi
FMZ forum

This guide treats a trading strategy as a complete set of rules covering what to trade, position size, entries and exits, order placement, and responses to unusual conditions. It surveys broad strategy families and recommends trend trading as an accessible…

Risk managementPosition sizingExecutionTrend following
SuperMind

The document describes a stock screen requiring turnover between 3% and 12%, a listing year of 2021, and a positive return. It presents these conditions as a basic selection rule and includes example implementations for screening stocks. The approach…

EquitiesChina marketsBacktestingRisk management
BigQuant

This post presents a China equity screening rule combining a turnover-rate band of 3% to 12%, outside volume greater than 1.3 times inside volume, and a rise of more than 5% in the stated close-position ratio. Its example formulas add a minimum volume…

China marketsEquitiesTechnical indicatorsMarket microstructure
MQL5 code base

The document explains that standard MetaTrader 4 candles are built from Bid prices, while the Ask price may be visible only as a live line and is not retained in ordinary historical chart data. Because sell positions can be stopped out when the Ask rises,…

ForexMarket microstructureExecutionRisk management
SuperMind

The document describes a Chinese A-share screening approach that selects stocks with RSI below 65 and an external-to-internal trading volume ratio above 1.3. It frames the screen around 2021 data and adds a current-price filter that excludes stocks whose…

EquitiesTechnical indicatorsChina marketsRisk management
Kraken Learn

This guide defines a black swan as an outlier that is difficult to anticipate, has a large impact, and is often explained as foreseeable after it occurs. It applies that framework to crypto, where hacks, software flaws, fraud, regulation, or failures at…

CryptoVolatilityRisk managementPortfolio construction
SuperMind

This note describes a short-term screen for main-board stocks that combines intraday range, prior-day actual turnover, and a positive move on the current day. The stated criteria are an amplitude above 1, turnover between 3% and 28%, and a daily gain above…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

The document proposes screening Chinese stocks using price amplitude, market-value concentration, and the gain at the market open. Its initial rule selects stocks with amplitude above a threshold, a stated concentration condition, and an opening gain below…

China marketsEquitiesTechnical indicatorsRisk management
BigQuant

This BigQuant strategy tutorial outlines a framework for combining a broad-market risk signal with individual-stock timing and position management. The proposed workflow builds separate feature expressions for index-level risk and stock-level conditions,…

China marketsEquitiesRisk managementPosition sizing
SuperMind

This Chinese stock-selection post describes a technical screen for shares with daily amplitude above one, excluding ST-designated companies and stocks that hit the daily price limit the previous day. The screen is intended for selections made before 10 a.m.…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The article compares a StockRanker stock-selection strategy with a Deepalpha deep neural network using the same 17 short-term factors, training data, and backtest setup. The strategy selects the top-ranked A-share stock each trading day and sells it the…

China marketsEquitiesMachine learningFactor investing
MQL5 code base

This document describes an Expert Advisor that places Buy Stop and Sell Stop orders at user-defined distances from the current price, with stop-loss and take-profit levels. When one side triggers, the other pending order is removed; after the resulting…

ForexBreakoutExecutionPosition sizing
SuperMind

This document describes a Chinese A-share stock screen using a turnover ratio from 3% to 12%, circulating market value from 1 billion to 55 billion yuan, and exclusion of stocks whose names contain a Beijing reference. It gives equivalent screening logic and…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese equity screening proposal combines three conditions: a 20-day moving average above the 120-day average, an amplitude threshold, and exclusion of stocks that hit the upper price limit on the prior day. It presents the moving-average relationship…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This daily, after-close screen selects stocks whose MACD line is above zero and that have a nonempty name for an outstanding convertible bond. It then ranks eligible stocks by individual-stock popularity, with the stated intent of prioritizing names…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock selection rule screens companies in the metaverse industry using two recent turnover readings: actual turnover from two sessions earlier must be between 3% and 28%, while the prior session’s turnover must exceed 8%. The document presents the…

EquitiesChina marketsMarket microstructureRisk management
MQL5 code base

The document describes a MetaTrader 5 utility that manages existing positions by moving stop losses as trades become profitable. It does not select instruments, open trades, or generate entry signals. Traders set a profit threshold for activation, a trailing…

ExecutionRisk managementPosition sizing
SuperMind

This stock screen selects for a large intraday price range, current volume above a stated threshold, a gap-up or strong opening condition, and a positive price-to-earnings ratio. The intended rationale is to combine signs of active trading and market…

EquitiesVolatilitySentimentRisk management
SuperMind

This stock-selection method looks for a positive MACD reading, upward short-term moving-average conditions, strong current volume, and an opening price above the prior close. The accompanying formula adds price positioning relative to a short average and a…

EquitiesMomentumTechnical indicatorsExecution
SuperMind

This Chinese stock screen combines three conditions: daily price range must exceed one percent of the previous close, an afternoon large-order net-inflow proxy must be positive according to a stated formula, and the prior session’s high must have been below…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This indicator defines the Asian session range, then looks for a London or New York wick through one boundary followed by a close back inside. A signal requires a later close beyond the opposite end of the sweep bar within four bars. It enters at the next…

ForexTechnical indicatorsBacktestingRisk management