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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

MQL5 code base

The Ulcer Index is presented as a measure of downside volatility, originally devised by Peter Martin for evaluating stock market funds. The document explains its use as a trend confirmation tool: a falling index alongside rising prices suggests downside…

Technical indicatorsVolatilityRisk management
MQL5 code base

This brief indicator description presents a single-window display of three smoothed Average True Range series calculated across different time frames. ATR measures price movement range, so comparing the three series can offer a compact view of volatility at…

Technical indicatorsVolatilityForex
SuperMind

This proposed equity screen combines three conditions: intraday amplitude above one percent, a K-line value below 20, and a nonempty field for an outstanding convertible bond. The text interprets the range as evidence of volatility, the low K-line reading as…

China marketsEquitiesTechnical indicatorsVolatility
MQL5 code base

StepMA 3D is described as a trend indicator that combines three moving averages with Average True Range calculations. The green line acts as a fast trend measure, while the red and blue lines represent the slower trend. The stated directional rule is…

Technical indicatorsTrend followingVolatility
ProRealCode

The Braid Filter uses three moving averages to estimate market direction and whether a trend is strong enough to register. It measures the spread between the highest and lowest average, then compares that spread with a threshold set as a percentage of the…

Technical indicatorsTrend followingVolatility
MQL5 code base

This brief note describes a variation on the Keltner Channel. A conventional channel places bands at an average true range distance above and below a simple moving average. The proposed variant replaces that center average with a Non Lag moving average,…

Technical indicatorsVolatilityForex
MQL5 code base

This note describes a variation on the Commodity Channel Index. Instead of calculating the indicator from the moving average of typical price, the variant uses the median line of a Step Channel. The channel line is described as reflecting the balance between…

Technical indicatorsVolatilityStatistics
BigQuant

This installment of a quantitative investing research review introduces two overseas studies relevant to stock selection. The first examines how interest rates affect stock pricing and is described as offering a new analytical framework and empirical testing…

EquitiesFactor investingStatisticsVolatility
SuperMind

This note presents a Chinese equity screen requiring price amplitude above a stated threshold, a stock code beginning with 60, and an association with the metaverse concept. It explains the filters as a combination of higher price variability, a market…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock screen combines three filters: daily amplitude above 1%, a 10-day gain greater than zero but below 35%, and membership in the metaverse concept group. The article explains that the amplitude condition seeks active price movement, while the return…

EquitiesMomentumVolatilityTechnical indicators
MQL5 code base

This document describes an indicator that plots stop-loss levels based on Average True Range. It provides an adjustable multiplier and ATR period, and includes helper functions so the calculation can be called from other code. The author says it can be used…

Risk managementTechnical indicatorsVolatility
SuperMind

This Chinese stock-screening post selects shares with daily amplitude above 1%, no limit-up close on the previous day, and at least one daily gain of 10% or more during the last 25 trading days. It frames amplitude as a way to find more volatile names and…

EquitiesChina marketsMomentumVolatility
ProRealCode

This indicator combines a configurable moving average with symmetric bands whose width is an ATR multiple. A persistent trend state turns bullish when price closes above the upper band and bearish when it closes below the lower band; it remains unchanged…

Trend followingTechnical indicatorsVolatilityRisk management
SuperMind

This Chinese-language post outlines a stock screen combining three conditions: daily amplitude above one percent, a trading date in 2021, and a Dragon-Tiger List appearance on the prior day. It explains amplitude as a signal of elevated price movement and…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

This indicator colors candles according to the direction of a trend oscillator and a separate measure of movement strength. Users can choose MACD, Momentum, or the directional indicator from ADX for trend direction, and ATR or ADX for strength. When both…

Technical indicatorsTrend followingMomentumVolatility
Amberdata research

This podcast recap follows quant Artur Sepp’s move from traditional finance into crypto derivatives. It describes his work on delta-neutral options strategies, volatility modeling, and market making in illiquid options, where one-sided order flow and…

CryptoOptionsVolatilityMarket making
ProRealCode

The indicator combines weighted averages of highs and lows to form channel levels, a Hull moving average for trend display, and relative volume to qualify breakouts. A bullish or bearish breakout is identified when price crosses a stored channel boundary in…

Technical indicatorsBreakoutMomentumVolatility
ProRealCode

The Waddah Attar Explosion indicator combines the change in MACD with Bollinger Band width to represent directional momentum and volatility expansion. The MACD change is multiplied by a sensitivity coefficient and split into positive and negative histograms.…

ForexTechnical indicatorsMomentumVolatility
SuperMind

This note proposes a short-term stock screen based on daily amplitude above 1, a condition described as main-force control on the prior day, and a 9:25 a.m. gain below 6%. It interprets the range as a sign of active price movement, the control measure as an…

EquitiesVolatilityTechnical indicatorsRisk management
MQL5 code base

This indicator note explains a short-term trading idea based on alternating periods of small and large price ranges. Range is treated as the distance traveled over a chosen interval, and a narrow range is described as a possible warning that a wider move may…

Technical indicatorsVolatilityMomentumRisk management
MQL5 code base

Adaptive Volatility Analysis (AVA) is an indicator intended to measure whether market volatility is increasing or easing. It compares a short-period exponential moving average of ATR with a longer-period exponential moving average, producing a relative…

VolatilityTechnical indicatorsStatistics
SuperMind

This stock-selection idea looks for shares with an amplitude above 1 and more than two limit-up days in the prior ten days, while excluding shares that hit the limit yesterday. It uses recent limit-up frequency as a proxy for market attention and amplitude…

EquitiesChina marketsVolatilityMomentum