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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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

Amberdata research

This market report surveys Bitcoin’s first quarter of 2025, linking sharp price movements to macroeconomic developments, regulatory news, security events, and institutional activity. It discusses a peak near $109,000, subsequent pullbacks, a major exchange…

CryptoOn-chain dataSentimentVolatility
Amberdata research

This market commentary connects Federal Reserve easing, Bitcoin price prospects, spot ETF adoption, and options volatility. It contrasts a possible short-term volatility surge with a longer-term decline as institutional ownership grows. For a bullish…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This Chinese-language post describes an equity screen requiring a daily price range above 1%, a positive 10-day return below 35%, and positive reported returns. It frames the range threshold as a way to select for active price movement, while the bounded…

EquitiesMomentumVolatilityTechnical indicators
MQL5 code base

The document explains an intraday volatility indicator that identifies times of day with greater or lesser price activity. It scans chart bars and uses each bar’s high minus low as its activity measure, highlighting higher-activity periods in blue and…

VolatilityTechnical indicatorsExecution
ProRealCode

This indicator combines the distance between ADX and ADXR with the relative change in ATR to describe trend development and volatility together. The author argues that ADX alone can miss changes in volatility, while ATR alone is expressed in absolute price…

Technical indicatorsTrend followingVolatilityStatistics
ProRealCode

The document describes KRev, an indicator intended to estimate the currency risk per unit of a position if price reaches the third Kase Dev Stop. Traders can use that estimate to compare markets or time frames with a fixed per-unit risk limit. The…

Technical indicatorsVolatilityRisk managementPosition sizing
MQL5 code base

The Volatility Quality Index is described as a trend-oriented indicator that marks upward and downward direction with green and red signals. Its calculation uses smoothed open, high, low, and close values, compares the current close with a lagged smoothed…

Technical indicatorsVolatilityTrend following
SuperMind

This stock screen combines three conditions: daily price amplitude above 1, a dividend yield above 25% for 2019, and a Shanghai listing code beginning with 60. The article gives example formula and Python implementations, with the Python example sorting…

EquitiesChina marketsVolatility
MQL5 code base

The Fractal Graph Dimension Indicator is presented as a way to distinguish trending conditions from unstable, volatile conditions. It has three inputs: the calculation period, the applied price, and a threshold. Readings below the threshold are classified as…

Technical indicatorsVolatilityTrend following
SuperMind

This note presents a stock screen for shares with daily amplitude above 1%, an opening price near the 10-day moving average, current volume above 10,000 lots, and a high open. The example formulas define “near” as within 5% of the average and identify a high…

EquitiesTechnical indicatorsVolatilityMomentum
ProRealCode

The indicator replaces fixed swing highs and lows with levels that decay over time by a fraction of ATR(200) per bar. Confirmed pivots reset their side’s level, so newer swings take precedence. A break occurs when price crosses the eroded level; the level…

Technical indicatorsBreakoutVolatilityTrend following
MQL5 code base

The described MT5 indicator gathers several measures of current market activity into a chart-side dashboard. It displays spread, volatility, volume activity, and daily range, with simple labels intended to distinguish normal, quiet, and highly volatile…

VolatilityTechnical indicatorsMarket microstructure
BigQuant

The report describes a framework that combines strategic asset allocation with tactical timing. Strategic weights favor assets that are relatively strong under different economic conditions, while tactical adjustments change overweights and underweights. Its…

Multi-assetPortfolio constructionFactor investingMomentum
ProRealCode

This indicator aims to show whether a trend is present and how strong it is by comparing a moving-average channel with a longer price range. For each selected moving-average period, it measures the recent high-to-low span of the average and compares that…

Technical indicatorsTrend followingVolatilityStatistics
MQL5 code base

ATRR is described as an indicator that compares two Average True Range values calculated over different lookback periods. Its two inputs set the periods for the first and second ATR calculations. The intended use is to view the relative behavior of…

Technical indicatorsVolatilityStatistics
SuperMind

This note describes a Chinese equity screen combining a minimum daily high–low range, consistently strong return on equity, and a ranking based on net large-order activity. The intended rationale is to find companies with a track record of profitability and…

EquitiesChina marketsFactor investingVolatility
Amberdata research

The article argues that a US November CPI release may be unreliable because a government shutdown disrupted price collection: October data was not gathered, November collection began late, and some figures relied on carried-forward data. It contrasts the…

CryptoVolatilityMarket microstructurePerpetual futures
MQL5 code base

This Expert Advisor monitors price movement and spreads using two observation windows. Over a user-defined number of ticks, it calculates average pip movement and average spread; it also computes those averages across a specified number of seconds. The EA…

ForexVolatilityMarket microstructureExecution
MQL5 code base

The document describes a semaphore-style trading indicator based on Average True Range. A signal appears when ATR begins to rise after having fallen, so the indicator is designed to mark a change in volatility rather than a stated directional forecast. Its…

Technical indicatorsVolatility
Amberdata research

This market commentary links a decline in US yields and expectations of a possible soft landing with gains in Bitcoin, Ether, and gold. It reviews the coming employment and central bank events, then interprets crypto options activity: traders appeared…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This Chinese equity screen combines three short-term filters: price amplitude above 1, a ranking based on large-order net activity, and a 9:25 a.m. gain below 6%. The stated rationale is to identify active, volatile shares whose early move is comparatively…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This A-share screen selects stocks with a daily range above one percent, a day's low between four and five percent below the previous close, and a rising DEA line. The article presents range and decline as short-term price conditions and DEA movement as a…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This A-share selection rule combines a daily high-low range above one percent, a nonempty unsettled convertible-bond name, and a newly formed upward KDJ crossover. The provided formula further requires the K value to meet or exceed D after being at or below…

EquitiesChina marketsTechnical indicatorsVolatility