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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

The document describes a short-term A-share screening idea that combines a positive MACD reading, positive trailing P/E, exclusion of special-treatment stocks, and five consecutive recent limit-up conditions. It proposes selecting stocks before 10 a.m. and…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This Expert Advisor applies a martingale approach with a configurable delay between entries. After an initial position, it waits a chosen number of bars before opening another position when the price moves by the specified step and a new entry signal…

ForexGrid tradingPosition sizingRisk management
BigQuant

This report proposes analyzing stocks within distinct domains, such as broad-market groups, market segments, and industries, to capture differences in their investment drivers. It argues that fitting factors within these groups can address nonlinear market…

EquitiesFactor investingChina marketsPortfolio construction
Amberdata research

This newsletter reviews how macroeconomic uncertainty and US policy signals shaped crypto prices and options conditions. It links employment and inflation data, tariff concerns, and changing expectations for rate cuts with broad risk-asset volatility. It…

CryptoOptionsVolatilityRisk management
MQL5 code base

This page describes an Expert Advisor that opens trades from signals produced by an Arrows and Curves indicator. A nonzero value in one indicator buffer triggers a buy, while a nonzero value in another triggers a sell. Position size can be set as a fixed lot…

Technical indicatorsExecutionRisk managementPosition sizing
FMZ forum

The document describes a way to retain Ether exposure for a possible fork token distribution while reducing exposure to changes in Ether’s market price. The proposed position pairs a spot Ether purchase with a sale of an Ether futures contract. It suggests…

CryptoFuturesSpot marketsArbitrage
ProRealCode

The Relative Bias Filter is a bounded signal intended to help avoid trades against strong directional conditions. Its signal is based on RSI applied to an average of typical price. A move toward the upper threshold indicates bullish strength and discourages…

Technical indicatorsTrend followingRisk management
SuperMind

This stock-selection rule looks for shares with amplitude above 1, more than one year since listing, and a rising KDJ K value. The article interprets amplitude as a sign of active price movement, the listing-age filter as a way to avoid very new shares, and…

EquitiesChina marketsTechnical indicatorsMomentum
Qlib

This note presents a Chinese equity screen that selects stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and applies a price-to-earnings cutoff below 20. The accompanying Python example also filters out names marked as special…

EquitiesChina marketsStatisticsRisk management
SuperMind

This Qlib documentation explains how to simulate model-driven trading through a persistent account. A configuration specifies a model, a portfolio strategy, and initial cash; the system then generates orders from predictions, executes them under exchange…

BacktestingExecutionPortfolio constructionRisk management
SuperMind

This note outlines a Chinese equity screen based on three conditions: daily price range above 1%, prior-day trading value above 60 million, and the current close above the previous session’s low. It frames the range and trading-value filters as measures of…

EquitiesChina marketsTechnical indicatorsRisk management
FMZ forum

The document presents a discretionary framework that combines broad market assessment with decisions about individual positions. Before trading, a trader reviews trend direction and maturity across daily, weekly, and monthly charts, possible reversal or…

Technical indicatorsTrend followingRisk managementPosition sizing
SuperMind

This Chinese stock-selection rule combines three filters: daily amplitude above 1%, RSI below 65, and a prior-day 9:15 matching price described as limit-down. The article frames the selected shares as possible candidates for short selling, reasoning that the…

EquitiesChina marketsTechnical indicatorsRisk management
Hummingbot docs

The article explains inventory value and the risk market makers face when one side of their orders fills more often than the other. Inventory value is the current worth of a portfolio measured against a reference asset such as a fiat currency. When prices…

Market makingRisk managementPosition sizingCrypto
vn.py community

This article outlines how to move a developed and backtested option strategy into live or simulated trading with VeighNa’s OptionStrategy module. It distinguishes access requirements for futures options and ETF options, including differences in simulated…

OptionsDerivatives pricingExecutionBacktesting
Freqtrade

This Freqtrade strategy combines MACD direction with the Commodity Channel Index (CCI) to generate long entries and exits. It enters when MACD is above its signal line and CCI is at or below a tunable buy threshold; it exits when MACD is below its signal…

Technical indicatorsMomentumBacktestingRisk management
BigQuant

This document outlines a value-oriented stock selection framework attributed to investor Robert Rick. It assesses companies across three broad dimensions: valuation, dividend policy, and financial condition. The framework is said to contain five largely…

EquitiesChina marketsFactor investingBacktesting
SuperMind

The document outlines a Chinese stock screen that ranks candidates by capital-flow strength, requires positive institutional net inflow, and limits selection to companies below a stated market-cap threshold with no recent losses. It explains the signals as a…

EquitiesChina marketsFactor investingRisk management
SuperMind

This interview describes one trader’s experience using automated crypto market making, including both single-exchange market making and cross-exchange market making. The trader reports preferring pure market making for stablecoins and finding it easier for…

CryptoMarket makingRisk managementExecution
SuperMind

This proposed A-share screen selects stocks with a price-range measure above 1, that did not close at the limit-up level the previous day, and that recorded return on equity above 15% in each of the past five years. The post frames the range condition as a…

EquitiesChina marketsFactor investingRisk management
SuperMind

This Chinese A-share screening proposal combines a daily price-range threshold, exclusion of ST-designated stocks, a five-session limit-up pattern, and a previous-day 9:15 call-auction matched price at or below 90% of the prior close. It says to select…

EquitiesChina marketsBreakoutRisk management
SuperMind

This Chinese-language post proposes screening stocks for amplitude above a threshold, a dividend payout ratio above 25% in 2019, and no limit-up move on the previous day. The stated rationale is to find volatile shares with a history of substantial dividends…

EquitiesVolatilityRisk managementChina markets
OctoBot

This introductory article defines a trading strategy as a plan specifying what to trade, when to enter and exit, and how much capital to risk. It says the plan should reflect the trader's goals and tolerance for losses, and describes technical analysis, risk…

Multi-assetRisk managementPosition sizingExecution
SuperMind

This document describes a short-term stock screen combining three conditions: daily amplitude above 1%, an opening price within roughly 5% of the 10-day moving average, and a stated maximum decline between 4% and 5%. It frames the setup as a search for…

EquitiesMean reversionTechnical indicatorsRisk management