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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

MQL5 code base

This document describes an oscillator that measures the standard deviation of each bar’s high-minus-low range over a chosen period. It offers two settings: the length of the calculation window and the standard deviation method. The indicator can be…

Technical indicatorsVolatilityStatistics
SuperMind

This Chinese-language post describes an equity screen combining price movement, large-order net volume, and valuation. It selects stocks with amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and positive P/E. The post…

EquitiesTechnical indicatorsVolatilityChina markets
MQL5 code base

This automated trading system implements the principal components of the Original Turtle rules. It sizes positions according to market volatility, enters on breakouts of fast or slow Donchian channels, and skips a later signal after a successful breakout. It…

Trend followingBreakoutVolatilityPosition sizing
MQL5 code base

ASQ SuperTrend is described as an ATR-based trend-following indicator for MetaTrader 5. It draws a changing line around price, uses color to indicate bullish or bearish direction, and marks trend reversals with arrows. The line can be used to track a trend…

Trend followingTechnical indicatorsVolatilityRisk management
SuperMind

This Chinese equity screening proposal selects stocks with amplitude above 1, a specified ratio between yesterday’s turnover rate and today’s auction volume relative to yesterday’s volume between 0.5 and 2, and a circulating share count no greater than 5.5…

EquitiesVolatilityChina marketsTechnical indicators
SuperMind

This Chinese stock screen combines three conditions: amplitude above 1, a shrinking negative MACD histogram on a 15-minute chart, and prior-day trading value above 60 million. The document interprets amplitude as a way to find more volatile stocks, the MACD…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This stock selection approach filters for shares with amplitude above 1, excludes those that were limit-up the previous day, and removes stocks from China's STAR Market. The article frames the board exclusion as a way to avoid mixing securities with distinct…

China marketsEquitiesTechnical indicatorsVolatility
MQL5 code base

The Dynamic Momentum Index adapts the length of its calculation to changes in an asset’s volatility. Unlike the RSI’s fixed lookback, it shortens its period when volatility rises, making readings respond more quickly to price changes. The document describes…

Technical indicatorsVolatilityMean reversion
MQL5 code base

The indicator estimates volatility using ATR, a Parkinson high-low estimator, or close-to-close return variation, then ranks the current reading against a rolling history as a percentile. Thresholds divide that percentile into five regimes, from unusually…

VolatilityTechnical indicatorsRisk managementBreakout
SuperMind

This A-share stock screen looks for daily amplitude above 1%, tradable shares no greater than 5.5 billion, and no limit-up on the previous day. The article frames these conditions as a way to identify actively moving, smaller-float stocks that have not just…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This A-share stock screen selects stocks with daily amplitude above 1%, at least one limit-up in the prior 25 days, and a negative MACD DIF value from two days earlier. The document provides both indicator-formula and Python examples, with the latter…

EquitiesChina marketsTechnical indicatorsVolatility
ProRealCode

This document proposes an hourly strategy using Supertrend, an exponential moving average, the middle of the Bollinger Bands, and an ATR-based volatility filter. In the code, long entries require price below the Supertrend line and above the EMA; short…

FuturesTechnical indicatorsTrend followingVolatility
Amberdata research

The newsletter assesses a sharp rise in Bitcoin volatility alongside macroeconomic catalysts and crypto market positioning. It uses options implied volatility and term-structure richness as indicators of stress, noting that a high backwardation reading has…

CryptoOptionsVolatilityFutures
BigQuant

The document presents a SQL approach to estimating annualized variance for Chinese stocks. It first calculates daily close-to-close returns for each instrument, then applies a rolling 20-observation standard deviation, squares that value, and multiplies by…

EquitiesStatisticsVolatility
MQL5 code base

The document outlines an extended Wilder double-smoothed exponential moving average that adapts its responsiveness using a volatility ratio. According to the description, the adaptation is intended to make the indicator react more quickly to market changes…

Technical indicatorsVolatilityTrend following
MQL5 code base

This indicator adapts Bollinger Bands using recursive smoothing based on the Laguerre-style equations described in the document. It estimates a central line from the median of each bar’s high and low, then builds upper and lower bands from a smoothed measure…

Technical indicatorsVolatility
MQL5 code base

The document describes momentum deviation as a variation of standard deviation that applies the calculation to price momentum rather than to price itself. It says the method is designed to use minimal CPU resources and produces values similar to standard…

Technical indicatorsVolatilityStatistics
SuperMind

This Chinese community post describes a daily stock screen requiring an amplitude reading above 1, a daily percentage change between -5% and -4%, and no limit-up session on the previous day. It presents the conditions as a way to identify volatile stocks…

EquitiesVolatilityTechnical indicatorsRisk management
MQL5 code base

This MetaTrader 5 indicator displays two colored rectangular zones derived from the Bollinger channel levels of an XMA_BBx5_Cloud indicator. The levels are calculated for a selected chart timeframe and shown on a bar, allowing a trader to view bands from a…

Technical indicatorsVolatility
SuperMind

This short-term stock screen selects shares with daily amplitude above 1, evidence of prior-day large-player control, and a closing price between the 20-period Bollinger middle and upper bands. The post explains that Bollinger Bands use a moving average and…

EquitiesTechnical indicatorsVolatilityChina markets
Hummingbot docs

A liquidity miner describes using automated market making on crypto pairs, drawing on a traditional finance background and several years of crypto trading. The approach is pure market making: set spreads, monitor inventory, and adjust parameters as…

CryptoMarket makingRisk managementVolatility
Amberdata research

This weekly note reviews Bitcoin and Ether options conditions around March 5, 2023. It links falling spot prices to softening implied volatility, describes a contango term structure, and points to the largest roll-down between short dated maturities and the…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

The proposed Chinese stock screen selects shares with an amplitude above 1, MACD above its zero line, and an indicator interpreted as main-fund control on the previous day. The text treats larger amplitude as a sign of volatility, positive MACD as a buy…

China marketsEquitiesTechnical indicatorsMomentum
ProRealCode

This indicator places the Kase Peak 2 oscillator over a price chart, using a moving average as its center line and scaling oscillator values into a price range based on average true range. Candle colors and optional segments show the oscillator’s direction…

Technical indicatorsVolatilityMomentum