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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

The document proposes a Chinese equity screen combining price amplitude above one, a shrinking negative MACD histogram on 15-minute bars, and a nonempty name for an outstanding convertible bond. It interprets the amplitude as a volatility filter and the…

China marketsEquitiesTechnical indicatorsVolatility
MQL5 code base

This indicator combines the Relative Strength Index with STARC-style channels. A moving average smooths the RSI to form the center line, while upper and lower bands are offset by multiples of an average true range. The band multipliers can differ above and…

Technical indicatorsVolatility
MQL5 code base

This automated strategy places three buy stops and three sell stops when the current close is inside the Bollinger Bands and there are no pending orders. The orders are arranged in steps, with separate take-profit settings for each buy and sell pair. A stop…

ForexVolatilityBreakoutExecution
MQL5 code base

This document describes an indicator that combines XPeriodCandle with Bollinger Bands. It highlights candles in a bright color when they move beyond the bands, making those excursions easier to spot on a chart. The stated concept is visual: candle color…

Technical indicatorsVolatility
ProRealCode

This indicator combines chart annotations and signals intended to support intraday analysis. It can show the previous candle’s range, ATR and its exponential average, current session high and low, the midpoint of that range, and the previous day’s high and…

Technical indicatorsVolatilityMomentum
SuperMind

This Chinese equity screen combines a price-amplitude condition, the presence of an outstanding convertible bond, and a positive arc-shaped technical indicator. The accompanying formula also applies a market-capitalization threshold and filters out certain…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This document describes a Chinese stock screening rule combining daily price amplitude, a calendar-year condition, and a maximum number of circulating shares. It explains that the amplitude filter is intended to find more volatile stocks and that a smaller…

EquitiesVolatilityChina marketsTechnical indicators
SuperMind

This A-share stock screen combines three technical conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and a daily price range greater than 1. The note interprets the RSI threshold as avoiding an overbought reading, the…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

This research note summarizes a study of downside volatility as a measure of portfolio risk and compares it with conventional volatility. It reports that the measures are generally closely related, but their relationship weakens during historically turbulent…

VolatilityRisk managementFactor investingPortfolio construction
Amberdata research

This weekly review interprets Bitcoin and Ethereum options conditions amid subdued spot markets and lower volatility. It discusses falling short-dated implied volatility, a steeper contango term structure, and the view that long-dated Ethereum volatility…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly digital-asset snapshot examines a market in which Bitcoin and Ether were weak or nearly flat while selected altcoins, especially DeFi-related tokens, rose sharply. It combines price and volatility measures with trading volume, open interest,…

CryptoVolatilityPerpetual futuresMarket microstructure
SuperMind

This Chinese-language post proposes a stock selection rule based on three conditions: amplitude above 1, a rounded price pattern, and a current daily low below the previous day’s low. It interprets the range condition as a way to find active stocks and the…

EquitiesTechnical indicatorsVolatility
ProRealCode

The Dynamic Zone Elasticity indicator is an oscillator intended to signal short-term price direction, especially for scalping or automated trading. It plots a smoothed signal line alongside adaptive upper and lower zones and a midpoint. The lookback period…

Technical indicatorsVolatilityBacktesting
Amberdata research

This brief market recap describes conditions in Bitcoin and Ether derivatives for the week of March 7, 2023. It reports that Bitcoin realized volatility declined, while the term structures for both assets changed little. Options skew continued to favor puts,…

CryptoOptionsVolatility
Amberdata research

This market commentary connects inflation and energy developments with expectations for Federal Reserve policy, then considers how upcoming macro events might affect crypto volatility. It reports mixed inflation readings, a slight reduction in expected rate…

CryptoOptionsVolatilityBreakout
SuperMind

The proposed stock screen selects Shenzhen main-board shares with daily high-to-low amplitude above 1%, at least one limit-up event in the prior 25 days, positive price-to-earnings ratios below 29.01, and positive price-to-book ratios below 3.11. Selected…

EquitiesChina marketsVolatilityFactor investing
Amberdata research

The report compares on-chain behavior around Bitcoin volatility shocks in bull and bear periods. It defines a shock as a day when absolute daily return exceeds two standard deviations above its historical average, then studies 21 shock days in each market…

CryptoOn-chain dataVolatilityStatistics
MQL5 code base

The strategy looks for unusually large candle movements and places stop orders to enter in the direction of a rapid price move. Its trigger is a configurable volatility or price-change threshold, with the article suggesting that a move of more than 200…

ForexBreakoutVolatilityExecution
MQL5 code base

The Adaptive Price Zone is a price channel built from two moving-average calculations. One moving average is applied to a configurable price series, and a second is applied to the bar range, defined as the high minus the low. A width setting scales the range…

Technical indicatorsVolatilityStatistics
MQL5 code base

This indicator combines Bollinger Bands, a Keltner Channel, and a momentum histogram to describe volatility conditions and trend direction. When the Bollinger Bands sit inside the Keltner Channel, the indicator marks a compressed, potentially sideways…

Technical indicatorsVolatilityBreakoutMomentum
ProRealCode

This document explains a chart indicator intended to flag periods of volatility compression and subsequent expansion. It derives a volatility measure from ATR and a smoothed reference, then scales that measure relative to a smoothed high-low range. A moving…

VolatilityTechnical indicatorsBreakoutRisk management
BigQuant

This research roundup describes two separate studies. The first examines the Stochastic Volatility Inspired (SVI) parameterization for modeling implied volatility surfaces. It reports theoretical results and empirical analysis suggesting that, under…

OptionsVolatilityDerivatives pricingStatistics
Amberdata research

This weekly market note reviews macroeconomic events and crypto options conditions in the week of September 24, 2023. It links the Federal Reserve’s hawkish messaging and upcoming economic releases with weakness in technology shares, bonds, and Ether. The…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

This brief indicator description explains a channel built around an average as its central line, with upper and lower bands calculated from Parkinson historical volatility rather than a conventional historical volatility measure. The method therefore uses a…

VolatilityTechnical indicatorsStatistics