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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

SuperMind

This document proposes screening stocks for a daily price range above a threshold, positive institutional flow, current volume above a threshold, and a gap up at the open. It frames range as a measure of movement, institutional flow as a sign of investor…

EquitiesVolatilityMarket microstructureChina markets
SuperMind

The document describes a simple Chinese equity screen: select stocks whose daily high-to-low range exceeds 1% of the opening price, whose codes begin with 60, and whose turnover lies between 2% and 9%. It also suggests ranking qualifying stocks by turnover.…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This proposed A-share screen combines a price-range condition, a recent large daily gain, and a dividend payout criterion. The initial logic looks for an intraday range exceeding a volatility-based threshold, at least one daily gain of 10% or more within the…

China marketsEquitiesTechnical indicatorsVolatility
BigQuant

This July 2020 market note attributes the bull market to falling risk-free rates and increased allocations to equities. It argues that a more diverse investor base may reduce the chance of a sudden collapse, while rising participation and short-term…

China marketsEquitiesFactor investingVolatility
MQL5 code base

Extreme TMA Line is a channel indicator used within several related trading strategies. It draws a central line and upper and lower channel boundaries. The center line signals the detected market state by changing to green for bullish conditions, red for…

Technical indicatorsTrend followingVolatility
SuperMind

This Chinese-language post outlines a short-term stock screen run before 10 a.m. It selects shares with daily high-low amplitude above 1%, at least two limit-up events in the prior 500 days, and an intraday low between 4% and 5% below the previous close. The…

China marketsEquitiesMean reversionVolatility
SuperMind

This document proposes a Chinese stock screen combining three conditions: amplitude above one, a shortening negative MACD histogram on a 15-minute chart, and at least two limit-up events within the preceding 500 days. The intended interpretation is that…

EquitiesChina marketsVolatilityTechnical indicators
BigQuant

The note proposes adding a 20-period average true range (ATR) volatility factor to a trading strategy, with the aim of improving its Sharpe ratio. It describes a regime-dependent relationship: higher ATR is associated with stronger returns in bull markets,…

VolatilityRisk managementBacktesting
MQL5 code base

The document explains that the U.S. Dollar Index measures the dollar against a basket of six currencies using a weighted geometric mean. The euro has the largest stated weight, followed by the Japanese yen, pound sterling, Canadian dollar, Swedish krona, and…

ForexTechnical indicatorsVolatility
MQL5 code base

This indicator displays two colored filled rectangles representing channel levels from the XMA_KLx5_Cloud indicator. The rectangles are drawn between values of two Keltner channels for a selected bar on a chosen timeframe, allowing those levels to be viewed…

Technical indicatorsVolatility
MQL5 code base

XATR is described as an Average True Range indicator that replaces the usual averaging algorithm and displays its output in points. The page identifies the indicator’s author and notes that an earlier version was implemented in MQL4 before publication in a…

Technical indicatorsVolatility
MQL5 code base

The document describes an information panel for displaying trading and market measures, including spread, average true range, and swap. Users can adjust the panel’s screen position, choose whether it remains above other chart objects, and hide information…

Technical indicatorsVolatilityMarket microstructure
MQL5 code base

The document describes an adaptive version of the Commodity Channel Index that replaces fixed overbought and oversold levels with limits adjusted from observed CCI peaks and troughs. It says an exponential moving average smooths those limits and an ATR-based…

Technical indicatorsVolatilityMean reversion
SuperMind

This Chinese stock-screening note combines three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and three consecutive declining sessions. It frames amplitude as a volatility filter and the histogram change as a…

EquitiesTechnical indicatorsMean reversionVolatility
SuperMind

This article presents a simple A-share stock screen based on three stated conditions: daily amplitude above one percent, a share price of 18.5 yuan, and a close above the previous day's low. It interprets the range as a measure of price fluctuation and the…

China marketsEquitiesTechnical indicatorsVolatility
Amberdata research

This weekly market note examines how the XRP ruling and other headlines affected crypto prices, implied volatility, and options positioning. It contrasts a quiet macro calendar and subdued longer-term realized volatility with event-driven moves in the front…

CryptoOptionsVolatilityEvent-driven
ProRealCode

This indicator estimates the expected value of a long trade held for a fixed number of bars in two ways. Its empirical engine repeatedly samples overlapping historical trades, optionally applying take-profit and stop-loss rules, then calculates average…

StatisticsBacktestingRisk managementVolatility
SuperMind

This document describes an equity screen combining daily range, a fresh KDJ bullish crossover, and seven consecutive sessions of falling closes. It frames the range threshold as a way to select volatile stocks, the crossover as a possible sign of improving…

EquitiesTechnical indicatorsMean reversionVolatility
SuperMind

This article outlines a Chinese stock selection screen combining three conditions: amplitude above a stated threshold, a rising sequence of lows intended to represent a strengthening base, and membership in selected industries. It frames the screen as a…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

This market commentary reviews Bitcoin and Ethereum options positioning alongside activity in oSQTH for the week covered. It describes several reported structures: a put spread financed with calls, a put risk reversal, a short-dated straddle sale, call…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This A-share screening idea combines a price-range condition, a recent large daily gain, and a minimum prior-day trading value. The post initially specifies an amplitude above 1, at least one daily gain of 10% or more within the last 25 sessions, and…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This Chinese stock-selection post describes a screen requiring daily price amplitude above 1%, a positive ten-day return below 35%, and circulating shares no greater than 5.5 billion. Its accompanying indicator formula and Python example show how to express…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document introduces Kase DevStops as a stop-setting approach that considers properties of price range beyond a simple fixed threshold. It highlights variation in range, described through variance or standard deviation, and skew, described as the extent…

Risk managementVolatilityTrend following