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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

79,386 documents

MQL5 code base

The document describes an indicator that calculates the Pearson correlation between a chart symbol and a user-selected second symbol. The user can configure the comparison period and applied price, along with minimum and maximum correlation settings that…

StatisticsMulti-asset
MQL5 code base

The indicator marks the Asian, London, and New York session ranges, then watches the completed session highs and lows for liquidity sweeps. A sweep occurs when price moves beyond a range boundary and closes back inside it. The document interprets a high…

Technical indicatorsBreakoutForexExecution
SuperMind

This proposed equity screen looks for stocks with daily amplitude above one percent, excludes Beijing-listed shares, and applies a condition described as a rising bottom. The post presents formula examples using a 60-day lookback and suggests that the setup…

EquitiesTechnical indicatorsVolatilityMean reversion
SuperMind

This stock-selection proposal combines three technical conditions: daily amplitude above one percent, weekly MACD above zero, and alignment among at least five moving averages. It frames the range and MACD conditions as signs of strength and direction, while…

EquitiesTechnical indicatorsTrend followingMomentum
BigQuant

Fundamental quantitative investing applies statistical methods and algorithms to company accounts, industry information, and macroeconomic data to rank stocks by estimated value or quality. The document describes analyzing profitability, financial strength,…

EquitiesFactor investingPortfolio constructionStatistics
BigQuant

The paper examines how five emotions expressed on Sina Weibo—anger, disgust, fear, joy, and sadness—relate to Chinese stock returns. It uses machine learning to classify posts and wavelet analysis to study how the relationship changes over time and across…

China marketsEquitiesSentimentMachine learning
BigQuant

This competition entry modifies a Deep Alpha convolutional neural network by supplying five time slices for each of 98 factors, rather than using a single slice. The network structure and most parameters remain close to the original model because training…

EquitiesMachine learningFactor investingBacktesting
FMZ forum

This article describes a way to send alerts when a strategy’s position changes, using FMZ Mylanguage together with its JavaScript enhancement feature. The example strategy uses Williams %R and a moving average to generate long and short signals. The article…

CryptoFuturesExecutionTechnical indicators
BigQuant

This report examines changes in concentrated holdings among Chinese active equity funds using quarterly disclosures and a daily estimate of fund exposure to a core group of crowded stocks. It compares the core group’s holdings over time, separates changes in…

EquitiesChina marketsStatisticsFactor investing
MQL5 code base

This indicator derives trading signals from the XMACD histogram and offers three configurable signal triggers: a change in histogram direction, a change in signal-line direction, or a crossing between the histogram and signal line. It displays the result as…

Technical indicatorsMomentumTrend following
SuperMind

This Chinese A-share screening idea combines three conditions: a positive ten-day return below 35%, a 14-period RSI below 65, and positive main-fund net inflow on the previous day. The accompanying description frames the return band and RSI as technical…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This indicator colors price bars according to movement direction measured against a user-specified point threshold. When price moves against the current direction, the bar color becomes progressively less saturated at three rollback levels: one quarter, one…

Technical indicatorsTrend following
MQL5 code base

This document introduces the Percentage Price Oscillator, an indicator calculated as the difference between a fast and a slow exponential moving average divided by the slow average. Expressing the spread relative to the slow average makes the oscillator a…

Technical indicatorsMomentumEquities
SuperMind

This document describes a stock screen that combines market activity, reported earnings growth, and recent attention. It selects stocks with turnover between 3% and 12%, parent-company net profit growth above 20% and no more than 100%, and a listing on the…

EquitiesChina marketsEvent-drivenFactor investing
SuperMind

This document describes a Chinese equity screening rule combining trading activity, order-book depth, and price position within Bollinger Bands. It selects listed stocks with turnover between 3% and 12%, greater buy-one than sell-one volume, and a close…

EquitiesTechnical indicatorsMarket microstructureMomentum
MQL5 code base

This MT5 indicator summarizes closed-deal history from the trading account and displays the results in a chart panel. It reads deals through the terminal’s history functions, aggregates them over a configurable lookback period, and refreshes on a timer. It…

Risk managementStatisticsPortfolio construction
SuperMind

This Chinese equity screening idea selects stocks whose daily high-to-low range is at least 1%, requires a nonempty name for an outstanding convertible bond, and ranks candidates by the day’s auction amount to retain the top five. The stated rationale is to…

China marketsEquitiesVolatilityTechnical indicators
MQL5 code base

This description introduces an Expert Advisor that automates buy and sell orders using the Moving Average Convergence Divergence indicator. It characterizes MACD as a momentum oscillator formed from the difference between two price moving averages, and notes…

ForexMomentumTechnical indicatorsExecution
MQL5 code base

This short description outlines a symmetric breakout rule. It buys or covers a short position when price moves above the high of a chosen number of prior bars, and sells short when price falls below the low of that lookback window. The lookback length is…

ForexBreakoutTrend followingBacktesting
vn.py community

The article describes an integrated order flow imbalance factor built from changes in bid and ask quantities across five limit order book levels. It explains how each level’s imbalance can be normalized by typical depth, then combined with principal…

EquitiesMarket microstructureStatisticsFactor investing
SuperMind

This document describes an A-share stock screen combining RSI below 65, MACD above zero, and a factor multiplying the price change by a measure derived from turnover and very large orders. It frames RSI as a filter on short-term weakness, positive MACD as an…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This document outlines a daily, pre-open A-share screen requiring MACD above zero, a share price below 12, and prior-session actual turnover between 3% and 28%. It presents the positive MACD reading as a trend filter and turnover as a measure of trading…

EquitiesTechnical indicatorsChina marketsExecution
SuperMind

This document presents a short-term A-share screen with three conditions: amplitude above 1, the current low below the previous session’s low, and a ten-day return greater than zero but below 35. The text interprets the range and lower low as signs of…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes an A-share screen combining RSI below 65, seven consecutive sessions in which the close is below the open, and prior-day auction turnover above 0.26. The rationale is that RSI may avoid overbought stocks, a run of down days indicates…

EquitiesTechnical indicatorsChina marketsBacktesting