Skip to content

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

Amberdata research

This overview describes using crypto options flow data to assess activity and possible market sentiment. It covers contract volume and open interest as measures of activity and liquidity, strike prices relative to spot, expiration horizons, put-call ratios,…

CryptoOptionsDerivatives pricingVolatility
Amberdata research

The document gives a weekly snapshot of BTC and ETH options markets. It discusses realized and implied volatility, option term structures, call and put skew, and the volatility spread between the two assets. The commentary links market moves to events such…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This short-term stock screen combines daily amplitude, a measure labeled controlling shares, and the closing price’s position relative to Bollinger Bands. The stated conditions are amplitude above one, controlling shares above 21 percent, and a close below…

China marketsEquitiesTechnical indicatorsVolatility
MQL5 code base

The document describes two interpretations of the Chaikin volatility indicator. One view associates rising volatility with nervousness near market tops and falling volatility with the late stages of market bottoms, when participation may have waned.…

VolatilityTechnical indicatorsRisk management
SuperMind

This A-share screening idea combines three conditions: price below 12 yuan, amplitude above 1, and a rising sequence of lows. The document presents the screen as a way to find inexpensive, volatile stocks whose recent lows are moving upward. It includes…

EquitiesVolatilityTechnical indicatorsChina markets
SuperMind

This proposed stock screen combines three conditions: price amplitude above a threshold, previous-day turnover within a specified range, and positive net large-trade volume for at least three consecutive days. The factors are intended to represent short-term…

EquitiesMarket microstructureVolatilityRisk management
Amberdata research

This podcast recap discusses crypto derivatives and volatility, including the Ethereum Dvol index, differences between Ethereum and Bitcoin volatility, volatility spikes, and a Butterfly Index. It also considers how news and regulatory developments may…

CryptoOptionsVolatilityArbitrage
SuperMind

This Chinese equity screening proposal starts with daily price amplitude above 1, a measure labeled today’s control above 21, and a concentration condition written as 70 below 20%. Its proposed refined version adds dividend yield and return on equity…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This Chinese equity screening rule combines three short-term filters: price amplitude above 1, positive institutional net flow, and turnover between 2% and 9%. The accompanying explanation interprets the amplitude filter as seeking volatile shares, the flow…

EquitiesChina marketsVolatilityTechnical indicators
Amberdata research

This midweek market recap describes changes in Bitcoin and Ethereum derivatives following a US debt ceiling agreement. It tracks realized volatility, the shape of implied volatility across expiries, option skew, trading flows, and dealer gamma positioning.…

CryptoOptionsVolatilitySentiment
SuperMind

This document describes a stock selection filter using amplitude above 1, a positive price-to-earnings ratio, and a turnover rate between 3% and 12%. It frames these as measures of price movement, profitability or valuation, and trading liquidity. The…

China marketsEquitiesVolatilityTechnical indicators
ProRealCode

This note proposes estimating volatility from the thickness of the Ichimoku Kumo, calculated as the absolute distance between its two forward spans. It normalizes that distance against a 200-period average and standard-deviation bands. Readings above 100 are…

Technical indicatorsVolatilityTrend followingBreakout
SuperMind

This stock selection rule combines three daily conditions: price range above a stated threshold, turnover between stated bounds, and a reversal pattern. The intended effect is to find active stocks with some price movement and a possible short-term change in…

EquitiesTechnical indicatorsVolatilityExecution
SuperMind

This article presents a short-term stock screen using three conditions: daily high-low range relative to the previous close above a threshold, a stock code beginning with 60, and external traded volume greater than internal traded volume by a specified…

EquitiesChina marketsMarket microstructureVolatility
FMZ forum

The article uses gambling and trading stories to explain why survival and capital preservation come before pursuing returns. Roulette illustrates how a small house edge compounds with repeated play, while blackjack card counting shows how a positive edge can…

Risk managementPosition sizingStatisticsVolatility
MQL5 code base

The Volatility Ratio indicator aims to identify trading ranges and possible points where a trend may return or reverse. It divides each bar’s true range—using the high-low span and gaps from the previous close—by a price range calculated over a configurable…

VolatilityTechnical indicators
Amberdata research

This market commentary describes how reports that spot ETH exchange-traded funds might be fast-tracked triggered a sharp rise in ETH and a surge in its short-dated realized and implied volatility. It compares the response with BTC, noting changes in…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains how implied volatility across option maturities forms a term structure. It proposes monitoring changes in the curve’s slope and curvature to assess whether markets expect near-term turbulence, longer-lived uncertainty, or a possible…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The newsletter combines a macro outlook with crypto market and options observations. It links the author’s expectation of a September rate cut and easing cycle to a base case of higher crypto prices, while noting uncertainty around the election and upcoming…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

The UT Bot indicator uses an ATR-scaled trailing stop to classify price as being in an uptrend or downtrend. Its stop distance is the average true range multiplied by a sensitivity factor, so the distance changes with recent volatility. Price above the stop…

Trend followingTechnical indicatorsVolatility
MQL5 code base

Renko 2.0 ATR is described as a non-trading MetaTrader 5 utility that generates custom symbol data on a one-minute chart. Its generated Renko bars can be configured using Average True Range, moving averages, and/or a percentage of ATR. The resulting custom…

Technical indicatorsVolatilityBacktesting
MQL5 code base

This document describes a chart indicator that displays three ATRSmoothed readings from different timeframes together. It assigns each timeframe a distinct visual treatment to make their relative values easier to distinguish: a histogram for the lower…

Technical indicatorsVolatility
SuperMind

This document describes a Chinese equity screen combining a daily price-range threshold, stocks whose codes begin with 60, and a prior-day turnover proxy constrained to a stated band. It explains that the range condition seeks more volatile shares and…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This description covers a MetaTrader 5 expert advisor for managing trades from a chart. Traders can drag entry, stop-loss, and take-profit lines, with changes updating the setup. It supports market orders and pending orders, and offers fixed-point or…

ExecutionRisk managementPosition sizingVolatility