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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
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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

Stratmill research code

This Chinese equity screening proposal combines three conditions: daily price amplitude above 1%, a dividend ratio above 25% for 2019, and a 15-minute MACD histogram that is shortening while below zero. The rationale is to find volatile shares with a history…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This A-share screening idea combines three conditions: daily price amplitude above 1%, an opening price near the 10-day moving average, and tradable share float no greater than 5.5 billion shares. The document interprets the range condition as selecting…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

A discussion of research on digital asset managers and hedge funds describes growing institutional interest in crypto, including dedicated strategies, senior staffing, and plans to develop trading approaches and investment products. The report summary notes…

CryptoMarket microstructureOn-chain dataVolatility
Amberdata research

This weekly market review describes how a rally in Bitcoin and Ether affected realized and implied volatility, option skew, term structure, trading flows, and dealer gamma. It reports that volatility rose with spot prices, call premiums deepened—especially…

CryptoOptionsVolatilityDerivatives pricing
Hummingbot docs

In this interview, market maker Harry Yeh discusses applying electronic trading and Hummingbot to cryptocurrency market making. He stresses that operators need to understand limit orders, bid-ask spreads, order levels, parameters, and cancellations before…

CryptoMarket makingHigh-frequency tradingVolatility
SuperMind

The document describes a Chinese stock screen combining a daily price-range condition, prior-day turnover within a specified band, and return on equity above 15% for five consecutive years. It presents the screen as a way to pair recent trading activity and…

EquitiesFactor investingVolatilityRisk management
SuperMind

This screening rule combines three conditions: price amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and exclusion of Beijing-listed shares. The text interprets amplitude as a way to find more volatile stocks and…

EquitiesTechnical indicatorsVolatility
TqSdk

This tutorial explains the true range (TR) and average true range (ATR), then shows how to calculate and display both for a Shanghai Futures Exchange gold contract using TqSdk. True range takes the largest of the current high-low range, the gap between the…

FuturesTechnical indicatorsVolatility
MQL5 code base

The document describes an indicator that gathers a trading symbol’s contract, pricing, margin, swap, execution, and session settings into a chart panel. It converts many values to account currency per standard lot, flags settings that can invalidate…

Risk managementPosition sizingExecutionMarket microstructure
MQL5 code base

The document describes a Triple Exponential Moving Average band indicator as an alternative to Bollinger Bands. It places a TEMA-based center line closer to price movement and describes its upper and lower boundaries as evenly positioned around that line. It…

Technical indicatorsMean reversionVolatility
MQL5 code base

The document describes a volatility channel indicator attributed to Larry Williams. It defines an upper and lower channel boundary using rolling extremes over a configurable period. The upper boundary takes the highest value of a transformed price series,…

Technical indicatorsVolatility
SuperMind

This note describes a stock screen requiring daily price amplitude above 1, MACD above its zero line, and a positive price-to-earnings ratio. The conditions aim to combine elevated price movement, a bullish technical signal, and a company reporting positive…

EquitiesTechnical indicatorsVolatilityStatistics
SuperMind

This document describes a Chinese equities screening rule combining price amplitude above 1, a nonempty name for outstanding convertible bonds, and a 2019 dividend ratio above 25%. It presents the screen as a way to find volatile stocks with stronger company…

EquitiesChina marketsVolatilityFactor investing
MQL5 code base

The document describes an indicator that expresses average true range (ATR) as a percentage of an instrument’s price. Showing typical candle movement in percentage terms is intended to make volatility easier to compare across symbols with different price…

VolatilityTechnical indicatorsRisk managementCrypto
SuperMind

This Chinese equity screen combines three short-term signals: daily amplitude above 1%, net inflow from large orders in the afternoon, and a three-session limit-up streak ending the previous day. It interprets amplitude as evidence of price movement,…

EquitiesChina marketsMomentumVolatility
BigQuant

The article introduces trend following as buying when prices rise and selling when they weaken, then reviews five indicators that may inform such decisions: moving averages, Bollinger Bands, MACD, RSI, and On-Balance Volume. It describes using price relative…

EquitiesTrend followingTechnical indicatorsMomentum
SuperMind

The document compares Bollinger Bands and MACD by explaining their calculations and common interpretations. Bollinger Bands use a moving average as a middle line and place upper and lower bands at a chosen number of standard deviations from it. The text…

Technical indicatorsStatisticsVolatilityBreakout
ProRealCode

This indicator identifies bullish and bearish fair value gaps from three-bar price relationships, then monitors whether price later moves back through the gap. A gap is retained only when its size exceeds a threshold scaled by average true range, making the…

Technical indicatorsVolatilityMean reversionBreakout
Amberdata research

This market recap compares realized and implied volatility in Bitcoin and Ethereum options, then reviews changes in their volatility term structures. It describes a negative variance risk premium in both assets, with realized volatility above implied…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

The document introduces Chaikin Volatility as an indicator derived from the difference between a period’s high and low. It describes comparing moving averages of that range to show how volatility changes, and gives default settings of 10 and 10 along with an…

VolatilityTechnical indicatorsStatistics
SuperMind

This note proposes a short-term stock screen using amplitude above 1, a rounded price pattern, and a volume ratio between 1.5 and 6. The formula defines the rounded-shape condition through the prior close’s position within the five-day high-low range,…

EquitiesTechnical indicatorsVolatilityStatistics
MQL5 code base

The Damping Index is presented as an oscillator intended to indicate whether directed price movement is slowing. Its calculation compares the difference between moving averages of high and low prices with the corresponding high-low average range from one…

Technical indicatorsStatisticsVolatility
SuperMind

This A-share selection rule screens for stocks whose daily high-low range exceeds 1%, that did not hit the upper price limit on the previous day, and whose circulating share count is at most 5.5 billion shares. The article presents the range as a way to find…

EquitiesChina marketsVolatilityTechnical indicators