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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

12,303 documents

MQL5 code base

The Quantitative Qualitative Estimator (QQE) combines a smoothed Relative Strength Index with fast and slow trailing levels. These levels are based on the variability of the smoothed RSI rather than directly on price ranges. To construct them, the method…

Technical indicatorsVolatilityMomentum
MQL5 code base

This document explains a chart indicator that builds Fibonacci levels from successive swings identified by the ZigZag indicator. Keyboard controls move through swings, while users can show, hide, drag, or extend a Fibonacci drawing and edit its levels.…

Technical indicatorsVolatilityForex
MQL5 code base

This brief description introduces a Parabolic Moving Average indicator that displays standard deviation bands. It identifies three user-adjustable inputs: the moving-average period, the price series used for the calculation, and the band deviation. Together,…

Technical indicatorsVolatility
MQL5 code base

This indicator description combines the Williams %R oscillator with Bollinger Band boundaries to define overbought and oversold areas. The band thresholds are intended to adapt to the oscillator’s behavior, rather than relying only on fixed levels. The…

Technical indicatorsForexMean reversionVolatility
SuperMind

This post describes a stock screen requiring a daily price range greater than 1%, a trading date in 2021, and float market capitalization above 10 billion yuan. It presents these conditions as a way to identify higher-volatility shares while limiting the…

EquitiesVolatilityStatistics
BigQuant

This report evaluates the Shanghai 180 index and the Hua An Shanghai 180 ETF. It describes an index weighted heavily toward financial companies and food and beverage firms, with large, liquid constituents. The report characterizes its recent one-, three-,…

EquitiesChina marketsVolatilityStatistics
MQL5 code base

This indicator description defines alert conditions using Bollinger Bands and price envelopes together. A buy alert is triggered when a bullish candle opens and closes below both lower bands. A sell alert requires a bearish candle to open and close above…

Technical indicatorsMean reversionVolatility
Amberdata research

This digital-asset market snapshot examines a broad selloff across Bitcoin, Ether, and altcoins through price changes, volatility, trading volume, open interest, funding, ETF and stablecoin flows, order-book depth, spreads, and DeFi liquidations. Its central…

CryptoMarket microstructureVolatilityRisk management
SuperMind

This Chinese stock-screening note describes a rules-based approach that combines price movement, Bollinger Bands, company size, and profitability. It looks for stocks with above-average daily range, a close between the Bollinger middle and upper bands,…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

The document presents a ProBuilder implementation of the SuperTrend indicator. It builds upper and lower bands around median price using average true range over a configurable period and a multiplier. The trend state changes when closing price crosses the…

Technical indicatorsTrend followingVolatility
SuperMind

The document explains a rolling estimate of annualized variance using daily stock returns. First compute each daily return from consecutive closing prices, then calculate the variance over a 20-trading-day window and scale it by 250, an assumed count of…

EquitiesVolatilityStatistics
SuperMind

The document presents a short-term Chinese equity screen combining prior-day price amplitude, a maximum tradable share count, and prior-day turnover within a specified band. Its rationale is that price movement may identify trading opportunities, smaller…

EquitiesChina marketsTechnical indicatorsVolatility
ProRealCode

The document presents an indicator implementation for plotting Weis Wave, also called Wyckoff Wave, on a price chart and labeling the volume accumulated during rising and falling legs. It tracks directional moves using price thresholds, then updates swing…

Technical indicatorsVolatilityMarket microstructure
SuperMind

This article proposes a short-term Chinese equity screen combining three conditions: amplitude above 1, a prior-day 9:15 indicative match price at the limit-down price, and more than two limit-up days within the past ten days. It says the final candidates…

EquitiesChina marketsMomentumVolatility
MQL5 code base

The document describes an indicator that overlays three Tymen STARC Bands sets on one chart, each calculated using a separately chosen timeframe and parameters. It is designed to let traders compare volatility bands from higher or lower timeframes with the…

Technical indicatorsVolatility
MQL5 code base

The Trend Trail indicator displays a possible trailing stop level that follows the prevailing trend. It has two adjustable inputs: the period used to calculate average true range (ATR) and a multiplier that controls sensitivity. A trader can use the…

Technical indicatorsVolatilityRisk managementTrend following
MQL5 code base

The document briefly describes a modified MACD trading indicator as a faster version of an earlier variant. It also says that the display includes multiple Bollinger stop levels, presenting the added visual levels alongside the speed improvement. It does not…

Technical indicatorsVolatilityRisk management
ProRealCode

The document explains a regression trend indicator that gives less influence to bars with high local residual variance. It first fits an ordinary least squares line, smooths squared residuals to estimate local variance, adds regularization, and converts…

Technical indicatorsStatisticsVolatilityTrend following
SuperMind

This A-share screening recipe combines price movement, past limit-up events, and a weekly moving-average crossover. It seeks stocks with an amplitude above 1%, at least two limit-up events within 500 days, and a five-period weekly moving average crossing…

EquitiesChina marketsTechnical indicatorsBreakout
BigQuant

This paper compares machine learning methods for forecasting equity returns across the market time series and the cross section of stocks. It frames risk premium measurement as a prediction problem and describes how high-dimensional predictors,…

EquitiesMachine learningStatisticsBacktesting
Amberdata research

This weekly market commentary reviews Bitcoin and Ethereum options ahead of US inflation releases and other macro events. It compares realized and implied volatility with historical ranges, examines the relative volatility of ETH and BTC, and discusses…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

This document explains a price-overlay indicator that marks supply zones at confirmed swing highs and demand zones at confirmed swing lows. Zone thickness scales with average true range, and the midpoint serves as a point of interest. A zone remains active…

Technical indicatorsVolatilityBreakoutRisk management
SuperMind

This document describes a stock-selection rule that combines a daily high-low range threshold, a recent reversal pattern, and a negative MACD reading from two sessions earlier. It frames range as a volatility filter, the reversal as a possible change in…

EquitiesTechnical indicatorsVolatilityBacktesting