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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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
WonderTrader
14 documents
Alphalens
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

Amberdata research

This podcast recap discusses Bitcoin’s volatility and derivatives market conditions around a sharp price decline and subsequent stabilization. It introduces implied volatility and volatility compression, and describes a reported contrast between elevated…

CryptoVolatilityOptionsDerivatives pricing
Cryptohopper blog

The document outlines two ways to exit a profitable crypto trade: choose a fixed take-profit level or trail a stop-loss as the market moves. A fixed target might be based on resistance, a previous swing high, a round-number price, or a set distance from…

CryptoRisk managementExecution
BigQuant

BykovTrend presents its signals as colored candlesticks. Green candles indicate rising signals and orange candles indicate falling signals. Candle brightness distinguishes signals aligned with the prevailing trend from those running against it: aligned…

Technical indicatorsTrend following
MQL5 code base

This research summary examines the low idiosyncratic volatility effect in China’s A-share market. It estimates volatility from the annualized standard deviation of residuals in CAPM, Fama–French three-factor, and Carhart four-factor regressions fitted to the…

China marketsEquitiesFactor investingVolatility
MQL5 code base

The Relative Momentum Index (RMI) adapts the Relative Strength Index by measuring price changes over a chosen momentum interval instead of comparing adjacent bars. Its calculation otherwise follows a similar structure. The momentum interval can be set to…

Technical indicatorsMomentum
SuperMind

This note proposes screening Chinese stocks using a daily price-movement threshold, a nonempty outstanding convertible-bond name field, and a company-name keyword associated with the metaverse. The stated rationale is to identify stocks connected to a…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

This platform support note explains the intended use of a high-frequency feature extraction module. It takes fields from a specified Level-2, one-minute Chinese stock bar table and applies expressions compatible with pandas and NumPy to calculate…

High-frequency tradingMarket microstructureStatisticsChina markets
SuperMind

This note describes a Chinese equity screen that combines a metaverse theme, positive institutional activity, a lower daily low than the previous session, and a 30-day RSI below 30. The intended rationale is to find themed stocks with institutional interest…

EquitiesMean reversionTechnical indicatorsChina markets
BigQuant

The discussion explains how to repeatedly reduce a model’s factor list using feature importance. The example starts with 15 factors, removes the three with the lowest importance after a training and backtest run, and repeats the process until five factors…

Machine learningFactor investingBacktestingStatistics
SuperMind

The document presents a stock-selection screen combining three conditions: MACD above zero, share price below 12 yuan, and a weekly five-period moving average crossing above the ten-period average. It says the screen is run before 10 a.m. on each trading…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

The document describes an approximation of a curvature trend indicator using an exponential moving average as its central trend line and average true range to scale upper and lower bands. The bands begin at a chosen ATR multiple from the moving average, then…

Technical indicatorsTrend followingVolatility
SuperMind

This A-share screening proposal selects stocks with daily amplitude above 1%, at least two limit-up sessions in the prior 500 days, and a gain below 6% at 9:25. It treats amplitude and prior limit-ups as signs of volatility and market attention, while the…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This A-share screening idea combines a turnover range of 3% to 12%, an opening price near the 10-day moving average, and a positive weekly chart signal described as a red bar. The article frames these filters as a way to find liquid, actively traded stocks…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

This brief note describes an extension to a limit-channel indicator that displays calculated states as a colored histogram. It groups channel levels into three speeds: inner levels are fastest, middle levels are intermediate, and outer levels are slowest.…

Technical indicatorsStatistics
SuperMind

The post outlines a Chinese equity screening idea combining a minimum price-amplitude condition, rising lows, and an opening-auction return within a specified band. It also proposes excluding specially treated stocks and describes an exit rule based on the…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

This document summarizes research on two equity-market questions. The first uses China’s IPO approval process as a natural experiment to examine how a newly approved offering affects existing, substitutable stocks. It reports negative price effects around…

EquitiesChina marketsEvent-drivenFactor investing
SuperMind

This screening idea selects stocks whose daily range exceeds one percent, whose KDJ indicator has just crossed upward, and whose price lows are rising. The article frames a large range as evidence of higher volatility, a fresh crossover as a possible shift…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The screen seeks Chinese equities with at least five overlapping moving averages, a newly formed KDJ golden cross, and at least two limit-up sessions during the stated lookback. The article interprets moving average convergence as a possible support or…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

This document describes an implementation of a Balance of Power indicator as a color-coded histogram intended to show trend direction and strength. Histogram colors reflect configured overbought and oversold thresholds and changes in direction. The…

ForexTechnical indicatorsExecution
BigQuant

The document explains a Brinson framework for separating portfolio returns into a policy benchmark, active asset allocation or timing, security selection, and their interaction. The benchmark reflects long-term asset-class weights and passive returns.…

Multi-assetPortfolio constructionStatistics
TqSdk

This reference organizes common TqSdk problems by symptom and suggests likely causes and corrective checks. It covers empty or stale market data, queued order requests that have not been sent through an update cycle, target-position tasks that fail to act,…

ExecutionRisk managementBacktestingMarket microstructure
OctoBot

K’s reversal indicator combines Bollinger Bands with MACD to identify possible countertrend entries. The buy setup looks for price below the lower band while MACD crosses above its signal line; the sell setup mirrors this above the upper band with MACD…

Technical indicatorsMean reversionVolatilityMomentum
ProRealCode

This document explains how OctoBot can receive TradingView alerts and use them to place exchange orders. Alerts may come from user-defined price levels, indicator conditions, or Pine Script strategies. The described workflow links the TradingView signal…

ExecutionTechnical indicators
MQL5 code base

This document describes a chart indicator for tracking groups of long and short symbols together. Users can configure up to 50 symbols in each basket, switch the chart to a listed symbol, move the display, and select the week for its historical statistics.…

Multi-assetTechnical indicatorsRisk managementStatistics