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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

SuperMind

This note proposes a Chinese equity screen combining a historical dividend payout ratio above 25%, a ranking by large-order net volume, and an intraday price range greater than 1. Its rationale is to mix a short-term price and order-flow signal with a…

EquitiesMarket microstructureVolatilityFactor investing
Amberdata research

This market commentary reviews crypto volatility conditions and options positioning in September 2023. It notes subdued equity volatility and low realized volatility in crypto, while describing rising put-wing implied volatility for a near-term Bitcoin…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

This brief description outlines an indicator-free expert advisor designed to trade sudden market moves. It places stop orders at a configured distance from the current price and adjusts them at discrete time intervals. When price moves sharply before the…

BreakoutExecutionVolatility
SuperMind

This document presents an A-share selection rule combining turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and an intraday range of at least 1% relative to the prior close. It frames turnover and range as measures…

EquitiesTechnical indicatorsVolatilityMarket microstructure
SuperMind

The document describes an A-share screen requiring an intraday high-low range above 1%, circulating market capitalization above 10 billion yuan, and a daily increase above 5%. Although the narrative calls the last condition an increase in holdings, the…

EquitiesMomentumVolatilityRisk management
SuperMind

This Chinese-equity screening idea combines daily price movement with a concentration filter. It selects stocks whose intraday range exceeds 1%, whose daily decline falls between 4% and 5%, and whose concentration measure is no higher than 20%. The…

EquitiesVolatilityRisk managementChina markets
SuperMind

This article describes an intraday Chinese stock screen based on four conditions: price amplitude above a threshold, current volume above a stated level, a higher opening price, and a gain below a cap at 9:25. The idea is to focus on stocks showing price…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock-selection note combines three filters: an average daily range above 1, a 2019 dividend payout ratio above 25%, and a same-day control measure above 21%. It presents the control measure as an indication of concentrated trading influence or…

EquitiesVolatilityFactor investingChina markets
SuperMind

The proposed screen combines three stock characteristics: price amplitude above one, a circulating share count no greater than 5.5 billion, and a 20-day concentration measure below 70%. The article presents the amplitude condition as a way to find more…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

The document proposes a stock screen combining three criteria: recent price amplitude above a stated threshold, circulating market capitalization above a stated level, and a stock code beginning with 60. It frames the screen as a way to find larger,…

EquitiesChina marketsVolatilityTechnical indicators
Amberdata research

This weekly crypto market report assesses a recovery in prices by combining spot performance with trading volume, volatility, open interest, funding, order book depth, ETF flows, stablecoin issuance, and DeFi credit measures. It interprets rising prices…

CryptoVolatilityMarket microstructureSentiment
MQL5 code base

The document introduces the VIX as an options-derived measure of expected volatility over roughly the next 30 days, then describes the idea of adapting a similar measure to markets beyond the major US stock indexes. It names possible applications such as…

VolatilityTechnical indicatorsMulti-asset
SuperMind

This Chinese-language post outlines a stock selection rule using price amplitude, relative trading volume, and return on equity. It specifies amplitude above 1%, a volume ratio between 1.5 and 6, and ROE above 15% in each of the past five years. The intended…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This Chinese-language post describes an A-share stock screen combining price amplitude, a 2019 dividend yield threshold, and a range for floating market capitalization. The intended logic selects stocks with amplitude above 1, dividend yield above 25%, and…

EquitiesChina marketsVolatilityFactor investing
BigQuant

This factor note defines a volume-weighted measure of a stock’s intraday relative price range. For each instrument and date, it calculates the high-low range divided by the opening price, weights that value by volume, and divides the summed weighted values…

EquitiesVolatilityFactor investingStatistics
SuperMind

This document describes a Chinese equity screening rule combining daily price range, a reversal pattern, and a recent limit-up. Its refined version looks for a range above 1%, a reversal pattern within the latest three trading days, and at least one limit-up…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This stock-screening proposal combines three conditions: daily price amplitude above one percent, a newly formed KDJ golden cross, and positive recent price changes across several lookback periods. The article interprets the amplitude filter as selecting…

EquitiesTechnical indicatorsMomentumVolatility
ProRealCode

The Max Deviation indicator measures the range between the highest high and lowest low across a configurable lookback window. Subtracting the window’s lowest low from its highest high produces a simple measure of the instrument’s total price movement during…

Technical indicatorsVolatilityStatistics
ProRealCode

Q-Trend combines a rolling price midpoint with average true range to create a trend line and volatility-adjusted thresholds. The midpoint is calculated from the highest and lowest source values over a chosen trend period. A sensitivity band is formed by…

Technical indicatorsTrend followingBreakoutVolatility
SuperMind

This note describes a Chinese stock selection screen that combines a daily price-range condition, five consecutive years of return on equity above 15%, and a limit on tradable share count. It presents the range condition as a measure of volatility, the ROE…

EquitiesFactor investingVolatilityChina markets
SuperMind

This stock selection screen uses three market-activity filters: amplitude of at least 1%, turnover above 2% and no more than 9%, and relative volume above 1.5 but below 6. The intended effect is to identify stocks with meaningful price movement and elevated,…

EquitiesTechnical indicatorsMarket microstructureVolatility
Amberdata research

This market commentary connects Federal Reserve expectations and stablecoin policy news with volatility in crypto and crypto-linked equities. It focuses on Circle’s post-IPO shares, noting a sharp rise in implied volatility and short-dated call skew, then…

CryptoOptionsVolatilityEquities
MQL5 code base

The SR Cloud indicator estimates resistance and support by measuring how far price moves from a bar's open. For each daily or weekly bar, its minimum swing is the smaller of the distance from the open to the high and the distance from the open to the low.…

Technical indicatorsStatisticsVolatilityRisk management
MQL5 code base

This expert advisor defines a daily price range over a configurable sliding window, excluding the current bar. The range can be calculated as the highest high minus the lowest low, or as the mean absolute change between consecutive closes. It recalculates…

BreakoutVolatilityRisk managementExecution