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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

16,761 documents

BigQuant

This brief forum exchange addresses a discrepancy between the displayed profit or loss for a simulated stock trade and the trader's expectation that both entry and exit fees should be included. The example concerns a purchase and later automatic sale,…

EquitiesBacktestingRisk management
SuperMind

This Chinese equity screen selects stocks associated with the robotics concept, with turnover between 3% and 12%, circulating market value below 10 billion, and a stated scale threshold above 200 million. The post says the added scale filter is intended to…

EquitiesChina marketsFactor investingPortfolio construction
SuperMind

The document describes three equity strategies built around a bull-bear indicator: a direct timing rule for broad indexes, monthly indicator-change rotation among industries, and index allocation based on the share of constituent stocks signaling a long…

EquitiesChina marketsTrend followingMomentum
MQL5 code base

This document describes an Expert Advisor that uses the XMACandles indicator to generate trades. A signal occurs when a bar closes and the indicator’s candle color changes. Running the advisor requires the compiled indicator, and an auxiliary library is…

ForexTechnical indicatorsBacktestingRisk management
vn.py community

The article recommends cleaning tick data before using it in strategy research or backtests, since duplicate records, implausible prices, out-of-order timestamps, and missing fields can distort results. Its example workflow sorts records by timestamp,…

Market microstructureBacktestingStatistics
ProRealCode

This indicator measures historical seasonality by grouping monthly price changes by calendar month, using data from a chosen starting year and month through the present. For each month, it reports the average open-to-close return, a normalized rank relative…

StatisticsTechnical indicatorsBacktestingPosition sizing
SuperMind

This Chinese stock-screening strategy combines three filters: daily amplitude above 1%, weekly MACD above its zero line, and a ratio between yesterday’s turnover rate and today’s auction activity within a stated band. The article frames the filters as a way…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

The proposed screen selects stocks whose price is near five moving averages, that were not limit-up stocks the previous day, and whose indicated price at 9:25 is less than 6% above the prior close. The article suggests that clustered averages may represent a…

EquitiesTechnical indicatorsBacktestingChina markets
BigQuant

This research summary describes a monthly industry rotation method built from price and volume behavior. It groups candidate signals into six categories: momentum, trading volatility, turnover, long-short comparison, price-volume divergence, and alignment…

EquitiesFactor investingMomentumPortfolio construction
MQL5 code base

The document outlines an expert advisor that uses the Commodity Channel Index, ZigZag, and Impulse indicators. Its configurable inputs include initial position size, stop loss, take profit, trailing stop and step, a shared averaging period for Impulse and…

Technical indicatorsRisk managementPosition sizingBacktesting
MQL5 code base

This trading system opens a position when a bar closes with a caudate candlestick signal from the CaudateXPeriodCandle indicator. It can also close the position after a preset holding period, making elapsed time an explicit exit rule. The example…

ForexTechnical indicatorsBacktestingRisk management
MQL5 code base

This Expert Advisor contains two similarly structured systems based on the Chande Momentum Oscillator crossing its zero line: one for long trades and one for short trades. Separate input groups control each side, including distinct magic numbers and position…

ForexTechnical indicatorsMomentumBacktesting
Zipline

This release note describes changes to Zipline 1.4.0, a quantitative research and backtesting platform. It removes implicit downloads of treasury and benchmark data, replacing benchmark retrieval with user-supplied files or instruments, or an option to run…

EquitiesMulti-assetBacktestingStatistics
SuperMind

This note describes a short-term Chinese equity screen combining daily price range, large-order net flow ranking, and a limit-up event within the prior 25 days. It presents these conditions as proxies for trading activity, capital interest, and market…

China marketsEquitiesSentimentTechnical indicators
ProRealCode

The Long/Short Differential Gain indicator compares the best hypothetical long and short outcomes over a lookback period using opening prices only. Starting from the opening price at the beginning of the window, it finds the highest and lowest opens reached…

Technical indicatorsStatisticsBacktesting
SuperMind

This document describes a short-term Chinese stock screen combining turnover, opening price relative to the ten-day moving average, and a three-candle pattern labeled “morning star.” It specifies turnover from 3% to 12%, an open within 5% of the moving…

EquitiesChina marketsTechnical indicatorsBacktesting
MQL5 code base

This document describes an automated trading system built around the ColorMETRO_XRSX indicator. It generates a signal when a bar closes and the indicator’s cloud changes color. The text also specifies that the indicator files must be installed in the…

ForexTechnical indicatorsBacktesting
MQL5 code base

This document describes an Expert Advisor that enters trades when the WPR_Histogram changes from neutral gray to red or blue at a bar’s close. The color transition indicates that the Williams Percent Range oscillator has moved into an overbought or oversold…

ForexTechnical indicatorsBacktesting
vn.py community

This forum exchange discusses what happens to a futures strategy when it rolls from one lead contract to the next, especially when the contracts have a price gap. The reply explains that rolling changes the contract used by the strategy. During…

FuturesRisk managementBacktesting
ProRealCode

The document describes a binary trend indicator derived from Zigzag turning points. It tracks candidate troughs and peaks, then sets an upward or downward confirmation threshold using either a percentage reversal or a fixed point amount. When price crosses…

Trend followingTechnical indicatorsBacktesting
FMZ forum

The article lays out a process for finding, screening, and preparing algorithmic trading ideas for backtesting. It begins with personal constraints: temperament, available time, capital, programming ability, and whether the trader needs regular income or can…

BacktestingRisk managementExecutionStatistics
SuperMind

The post proposes screening Chinese stocks by a daily turnover rate of 3%–12%, a K indicator below 20, and an opening auction price change between -2% and 5%. It presents the filters as a way to identify stocks with short-term potential, then suggests adding…

EquitiesTechnical indicatorsChina marketsBacktesting
BigQuant

The document outlines four portfolio approaches: a calendar effect fund of funds (FOF), a performance enhancement FOF, a fund size undervaluation FOF, and a core-satellite ETF portfolio. The calendar strategy selects five active equity funds equally using…

Factor investingPortfolio constructionBacktestingEquities