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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
Quantpedia
86 documents
TqSdk
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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

MQL5 code base

This note describes a smoothed version of a synthetic volatility indicator. It aims to make volatility changes easier to assess while limiting the delay that can result from smoothing an already calculated indicator. The method smooths prices before using…

VolatilityTechnical indicators
Amberdata research

This market recap explains how an approaching Bitcoin ETF decision shaped BTC and ETH volatility, term structure, skew, options flows, and dealer gamma. It describes front-end implied volatility rising ahead of the event, backwardation in both markets, and…

CryptoOptionsVolatilityEvent-driven
ProRealCode

This indicator combines a trailing Average True Range stop with the Average Directional Index. It selects between wider and narrower ATR multipliers according to whether ADX is rising or falling, with an optional threshold rule that applies the narrower…

Technical indicatorsTrend followingVolatilityRisk management
MQL5 code base

The document describes a script that scans historical candlesticks across timeframes and reports maximum, minimum, and arithmetic mean measurements for candle bodies, upper shadows, and lower shadows. Results are displayed in a table on the active chart…

ForexVolatilityStatistics
SuperMind

This document proposes screening stocks for price amplitude above 1, prior-day actual turnover between 3% and 28%, and at least five converging moving averages. The intended combination uses price movement and trading activity to find active stocks whose…

EquitiesTechnical indicatorsVolatilityRisk management
MQL5 code base

This entry identifies RSITrend_NRTR as a semaphore-style signal indicator related to BykovTrend. It says the indicator uses an NRTR line derived from Average True Range values. The description is brief and names the author, but gives no formula, parameter…

Technical indicatorsTrend followingVolatility
ProRealCode

The FollowLine is a trend-following indicator that changes direction when a closing price crosses beyond an upper or lower Bollinger band. After an upside trigger, it tracks a line based on the bar low; after a downside trigger, it uses the bar high. In each…

Technical indicatorsTrend followingVolatility
BigQuant

This research note studies return skewness as a cross-sectional factor for commodity futures. It tests long-short and long-only portfolios across all contracts, agricultural contracts, and non-agricultural contracts, then explores lookback choices, ATR-based…

FuturesCommoditiesFactor investingVolatility
SuperMind

This note describes a Chinese A-share screening rule combining daily price range, a recent run of limit-up sessions, and a size or trading-volume threshold. It frames a large range as a sign of active trading, three consecutive limit-ups as evidence of…

EquitiesMomentumVolatilityChina markets
SuperMind

This short-term Chinese stock screen calls for price amplitude above 1%, a turnover-based measure between 0.5 and 2, and a recent run of three consecutive limit-up sessions. The measure is described as yesterday’s turnover rate multiplied by today’s auction…

China marketsEquitiesMomentumVolatility
ProRealCode

This indicator contribution presents a Dynamic Zone version of RSX for ProRealTime. It first adjusts closing price using half the standard deviation of highs over a 10-bar lookback, then separates upward and downward price changes. Wilder averages over 20…

Technical indicatorsVolatilityStatistics
SuperMind

This Chinese stock screen combines three conditions: a range greater than 1, at least one single-day gain of 10% or more during the prior 25 trading days, and an indication of major-player control. It aims to identify volatile stocks that have recently shown…

EquitiesChina marketsMomentumVolatility
SuperMind

This stock selection rule screens for shares with an intraday range above 1, an indication that major players controlled the stock on the previous day, and a daily return between -5% and 2.6%. The stated rationale is to find volatile shares showing some…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

This indicator defines resistance and support from the highest high and lowest low over a configurable lookback. It adds an ATR-based buffer around both extremes, plots the midpoint, projects the zones forward, and marks selected price crossings and the bars…

Technical indicatorsVolatilityMean reversionBreakout
Amberdata research

This interview recap follows Simran Singh from oil trading into crypto and DeFi market infrastructure. The 2020 WTI price collapse illustrates how negative prices, scarce storage, vanishing liquidity, and widening spreads can break familiar pricing…

CryptoCommoditiesOptionsVolatility
MQL5 code base

The described MT5 custom indicator plots Bollinger Bands with configurable period, shift, deviation, applied price, color, and line style. It also calculates the distance between the upper and lower bands in pips and displays that range bandwidth as a label.…

Technical indicatorsVolatilityFutures
SuperMind

This Chinese-language post proposes screening stocks for amplitude above 1, a shrinking negative MACD histogram on a 15-minute chart, and a current low below the previous day’s low. It interprets the range condition as selecting more volatile shares and the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document presents a Chinese equity screening rule combining three conditions: daily amplitude above one percent, a stock code beginning with 60, and positive net buying attributed to major participants during the opening auction. It explains amplitude as…

EquitiesChina marketsVolatilityTechnical indicators
MQL5 code base

The document describes a variation on Average True Range (ATR), a measure of market volatility based on the greatest of the current high–low range and the two gaps between current prices and the previous close. Conventional ATR smooths true range with a…

Technical indicatorsVolatility
BigQuant

The article explains stock price changes through macroeconomic forces such as growth, interest rates, inflation, policy, and global capital flows, alongside company performance, supply and demand, news, and investor sentiment. It describes how retail and…

EquitiesTechnical indicatorsMomentumVolatility
MQL5 code base

This document explains a Bollinger Bands squeeze indicator that compares Bollinger Bands with a Keltner Channel. A squeeze is present when the Bollinger Bands fit inside the Keltner Channel, which the description interprets as unusually low price dispersion…

Technical indicatorsVolatilityBreakout
FMZ forum

The speech explains how option-focused funds seek returns by assessing the risk environment, comparing implied option prices with estimates of risk, and spreading trades across contracts and products. It frames options as insurance: sellers may collect…

OptionsVolatilityRisk managementPortfolio construction
SuperMind

This stock-selection note describes a screen for Chinese equities combining a price-range condition with indicators of institutional participation and institutional direction. Its final rule calls for institutional participation above a threshold over a…

China marketsEquitiesVolatilityTechnical indicators