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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

ProRealCode

The document explains why computing variance from sums of squares can be numerically unstable, particularly with large values, and describes Welford’s method as a single-pass alternative. The method updates a running mean and an accumulated squared-deviation…

StatisticsVolatilityTechnical indicators
Amberdata research

This market note links crypto performance and options positioning to the prospect of persistently high interest rates, upcoming US inflation releases, and central-bank commentary. It characterizes Bitcoin as more resilient than Ether and reports stronger…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This note describes a Chinese stock screen combining intraday range, tradable share count, and a steep daily decline. It selects stocks whose amplitude exceeds 1%, whose float is no more than 5.5 billion shares, and whose low is 4% to 5% below the previous…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese market screening idea selects stocks with an amplitude above 1, current trading volume above 10,000 lots, a higher open, and more than two limit-up sessions during the prior ten days. The post frames these conditions as signs of price activity,…

EquitiesMomentumVolatilityTechnical indicators
NautilusTrader

This tutorial describes a live short-volatility strategy that sells an out-of-the-money BTC call and put on Bybit, then hedges the resulting delta exposure with a BTCUSDT perpetual. It selects strikes by percentile within the nearest-expiry option chain,…

CryptoOptionsVolatilityPerpetual futures
ProRealCode

The document presents a Yang–Zhang volatility estimator built from open, high, low, and close prices. It separates the overnight return from intraday price movement, combines the variance of overnight returns with close-to-open variance and the…

VolatilityOptionsStatistics
SuperMind

This Chinese A-share screening idea combines three filters: a market capitalization below 10 billion yuan, no reported losses, and a daily price amplitude above 1, alongside a negative MACD reading from two days earlier. The stated rationale is to combine a…

China marketsEquitiesTechnical indicatorsVolatility
MQL5 code base

Trend Movers is described as a chart indicator that gathers readings from moving averages, Relative Strength, Commodity Channel Index, Stochastics, MACD, and Average True Range in one display. It is intended to show possible buy, sell, or exit signals for…

Technical indicatorsTrend followingVolatility
SuperMind

This note proposes selecting stocks with a relatively large daily price range, MACD above its zero line, and a reversal pattern described as an engulfing move. It treats the range as a sign of volatility, the MACD condition as evidence of positive momentum,…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This post describes a stock screen that combines daily price range with a measure based on yesterday’s turnover and today’s auction volume relative to the prior day’s volume. It also filters for a positive but limited ten-day return, aiming to identify…

EquitiesTechnical indicatorsMomentumVolatility
MQL5 code base

This short note describes a version of Tushar Chande’s Directional Movement Index in which the DMI and its DSL signal lines are adapted using a volatility ratio. Its stated distinction is that adaptation is applied throughout the indicator, including the…

Technical indicatorsVolatilityTrend following
MQL5 code base

Unity Pro estimates relative values for currencies, metals, and other instruments that share a common currency. It relates each instrument’s quote to the underlying asset values and constrains those values to sum to one, then derives the values…

Multi-assetTechnical indicatorsMomentumVolatility
MQL5 code base

This MetaTrader 5 indicator variant lets a trader choose the timeframe used by the AvgRange indicator through an input parameter. The example setting shown is a four-hour period, so the indicator can display average-range information derived from a timeframe…

Technical indicatorsVolatility
MQL5 code base

The document describes a technical indicator that combines a volume-weighted moving average with a standard-deviation-based measure of trend strength. It uses two configurable thresholds, dK1 and dK2, to determine the size of a colored dot displayed on the…

Technical indicatorsVolatilityEquities
SuperMind

This document describes a Chinese equities screening rule combining daily price range, MACD, and whether the stock hit its upper price limit the previous day. It selects stocks with amplitude above 1, MACD above zero, and no prior-day limit-up. The…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This article presents an equity screen combining daily amplitude, a positive weekly MACD reading, a recent price-change band, and a valuation filter. Its final stated logic additionally requires price-to-book between 1 and 5, while the indicator formula and…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This A-share stock screen combines three short-term filters: amplitude above 1, a 9:25 a.m. gain below 6%, and RSI below 65. The article frames amplitude as a measure of volatility, the early price-change condition as a way to avoid stocks with large opening…

China marketsEquitiesTechnical indicatorsVolatility
FMZ forum

The document describes three common mistakes made by new options traders: buying far out-of-the-money calls without accounting for timing and time decay, relying on one strategy in every market, and trading without a preplanned exit. It explains that an…

OptionsDerivatives pricingRisk managementVolatility
MQL5 code base

The document describes a relative version of Average True Range (ATR) intended to make ATR easier to compare across time. It maps ATR into a 0–100% range according to its position relative to values over a chosen historical lookback. This treats ATR as a…

ForexVolatilityTechnical indicators
SuperMind

This document describes an equity screen that combines daily price amplitude, institutional participation, metaverse theme exposure, and a minimum company size. Its final stated criteria require amplitude above 1, institutional participation above 25% over…

EquitiesChina marketsSentimentVolatility
MQL5 code base

NRatioSign is described as a semaphore-style indicator that generates signals from crossovers of overbought and oversold levels in the NRatio indicator. The document gives only a high-level account of this logic; it does not specify the threshold values,…

Technical indicatorsMean reversionVolatility
MQL5 code base

The document describes a MetaTrader indicator for monitoring market volatility. It uses Average True Range (ATR) and compares the current reading with a historical average, classifying conditions as low, normal, high, or extreme. The dashboard also presents…

VolatilityTechnical indicatorsMarket microstructure