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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
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
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

SuperMind

This short-term stock screen combines three filters: a prior-day price amplitude above 1%, appearance on the previous day's top-trader list, and a current-day price decline between 4% and 5%. The post presents the decline as a potential pullback entry and…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

This stock-selection idea combines an amplitude threshold, a rounded price-range pattern, and a company or industry classification. The accompanying indicator expression uses recent high-low ranges over several lookback windows to identify a compressed,…

EquitiesTechnical indicatorsVolatility
Amberdata research

This weekly crypto options analysis links macroeconomic events, including US debt ceiling negotiations, inflation data, Fed minutes, and upcoming employment figures, to Bitcoin and Ethereum volatility. It argues that the market may remain in a wait-and-see…

CryptoOptionsVolatilityCarry
MQL5 code base

The document describes a chart indicator that plots three Bollinger Band channels derived from one moving average and displays the latest values as price labels. It is a visualization tool for viewing multiple volatility envelopes around a smoothed price…

Technical indicatorsVolatility
SuperMind

This note proposes screening stocks for daily amplitude above 1%, a 2021 date condition, and return on equity above 15% for five consecutive years. Its final version adds valuation limits of price-to-earnings below 30 and price-to-book below 5. The rationale…

EquitiesChina marketsFactor investingVolatility
SuperMind

This note describes an A-share stock screen combining daily price amplitude above 1, a morning-star pattern, and positive price-to-earnings ratio. It presents the pattern as a short-term technical signal and positive P/E as a basic profitability filter. It…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

This research summary compares two ETFs tracking distinct China A-share indices focused on the ChiNext market. One index selects for quality and lower volatility, seeking financially sound companies with steadier price behavior. The other emphasizes growth…

China marketsEquitiesFactor investingMomentum
MQL5 code base

Moving Average Bands Width (MABW) is described as a volatility indicator based on the percentage distance between moving average bands. Wider bands correspond to rising volatility, while narrower bands correspond to declining volatility. Changes in width may…

Technical indicatorsVolatility
MQL5 code base

This indicator combines smoothed Heiken-Ashi candles with two color-filled channels. The channels are based on mean-square deviations calculated from the indicator candles’ highs and lows. Its configurable parameters include the smoothing method and depth, a…

Technical indicatorsVolatility
SuperMind

This A-share screening idea combines a price-range condition, a short-term trend filter, and a measure that relates yesterday’s turnover to today’s auction volume versus yesterday’s volume. It selects stocks whose average price is above the five-day moving…

China marketsEquitiesMomentumTechnical indicators
Amberdata research

This report examines BTC options and futures behavior in Q1 2023, then introduces Lyra as an automated market maker for on-chain options. It contrasts AMM and order-book models and frames DeFi options as an evolving market without an established analytical…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

The document describes a trailing stop built from the Average True Range (ATR). It places a candidate stop a multiple of ATR below the closing price during an uptrend and above it during a downtrend. The example uses a 14-period ATR multiplied by 3.5, while…

Technical indicatorsTrend followingVolatilityRisk management
Amberdata research

This study builds separate XGBoost models to predict next-day Ethereum volatility from activity in the USDC, USDT, and DAI lending ecosystems. Features include lagged borrowing, repayment, and flash-loan measures, plus seven-day averages. It uses time-series…

CryptoDeFiVolatilityMachine learning
ProRealCode

This document describes an indicator that applies a Supertrend calculation to RSI values rather than directly to price. It calculates RSI, smooths it with a moving average, and uses an ATR-style range and configurable trend factor to form upper and lower…

Technical indicatorsMomentumTrend followingVolatility
MQL5 code base

The indicator evaluates a family of AbsolutelyNoLagLwma smoothed price series across periods generated by an arithmetic progression. At each update, it determines the direction of each smoothed series, counts positive and negative directions, and smooths…

Technical indicatorsTrend followingVolatility
SuperMind

This Chinese equity-screening idea selects stocks with amplitude above 1, a rounded price pattern, a robotics-sector classification, and circulating market value below 10 billion. The text interprets the amplitude condition as targeting active shares, the…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This charting script marks the Sydney, Tokyo, London, and New York forex sessions with colored rectangles. Users set each session’s opening hour and duration, allowing past session windows to be overlaid on price data. The colored regions can help traders…

ForexVolatilityTechnical indicators
Cryptohopper blog

The article explains two tools for assessing cryptocurrency volatility. Bollinger Bands place an upper and lower standard deviation band around a moving average; widening bands indicate greater volatility, while contracting bands suggest quieter conditions.…

CryptoVolatilityTechnical indicatorsMean reversion
MQL5 code base

This document describes a version of the XCCX standard deviation indicator that lets the user select the timeframe used for its calculations. The example input sets the indicator to a four-hour period, while leaving the chart timeframe as a separate choice.…

Technical indicatorsVolatility
ProRealCode

This indicator estimates how far price traveled across both the regular session and the overnight gap. It starts with twice the high-to-low range, subtracts the absolute open-to-close change, then adds the absolute difference between the current open and the…

Technical indicatorsStatisticsVolatility
MQL5 code base

The document describes an oscillator that plots the width of a Donchian channel in a separate window. It defines width as the highest high minus the lowest low over a selected lookback period, providing a simple measure of the price range covered by that…

Technical indicatorsVolatility
MQL5 code base

This indicator description presents a Money Flow Index display that combines three configurable timeframes and offers an average. Its adjustable inputs include the MFI calculation period and volume basis, overbought, median, and oversold levels, each…

Technical indicatorsVolatility
BigQuant

This report reviews the issuance and performance of Chinese private CTA products in the first quarter of 2018, then discusses equity index futures, government bond futures, and commodity markets. It links strategy ideas to changes in volatility, trading…

FuturesCommoditiesFixed incomeTrend following
BigQuant

This article argues that some quantitative strategies in China’s A-share market focus on exploiting short-term price fluctuations rather than company fundamentals. It portrays rapid trading as a source of high turnover and a potential conflict with the…

China marketsEquitiesHigh-frequency tradingVolatility