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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
Quantpedia
86 documents
TqSdk
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

SuperMind

This note proposes screening stocks for daily amplitude above 1%, data from 2021, and a positive return measured against the closing price 30 sessions earlier. Amplitude is calculated from the daily high and low relative to price, while the return condition…

EquitiesChina marketsVolatilityMomentum
MQL5 code base

This brief indicator description presents WPRCandleKeltner, which represents the Larry Williams Percent Range oscillator as a sequence of candlesticks and draws a Keltner Channel around its average value. It combines an oscillator display with a channel…

Technical indicatorsVolatility
Amberdata research

This podcast overview describes a crypto options venue's altcoin contracts, collateral arrangements, and trading tools, including its integration with another exchange. It discusses options across several digital assets with varied expirations and strikes,…

CryptoOptionsVolatilityMarket making
Amberdata research

The article introduces altcoins and decentralized finance as possible sources of diversification and excess returns. It describes an altcoin-season indicator based on the share of leading altcoins outperforming Bitcoin over a specified period, with a 75%…

CryptoDeFiOn-chain dataVolatility
SuperMind

This short-term stock screen combines daily amplitude above 1%, an opening price within 5% of the 10-day moving average, and a high equal to the highest level across the current and preceding two sessions. The post describes the first filter as a volatility…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

The document presents a Chinese equity screen that selects stocks associated with the robotics concept, with daily amplitude above 1%, circulating market capitalization below 10 billion, and total scale above 200 million. It describes combining these…

EquitiesChina marketsVolatility
MQL5 code base

This MetaTrader 5 indicator uses a soft, time-based background gradient to show typical market phases: quieter Pacific hours, Asian consolidation, rising London activity, the London–New York overlap, and the New York fade. Optional markers identify session…

ForexTechnical indicatorsVolatility
MQL5 code base

This brief description presents a modified SuperTrend indicator, based on Olivier Seban's well-known trend tool. It replaces plotted lines with dots, which the author says makes a one-bar change in direction visible when that change would otherwise be…

Technical indicatorsTrend followingVolatility
ProRealCode

This indicator combines a failed Bollinger Band excursion with a Stochastic RSI extreme to flag possible short-term reversals. It uses a 20-period moving average and two standard deviations for the bands. Stochastic RSI applies a stochastic calculation to…

Technical indicatorsMean reversionMomentumVolatility
MQL5 code base

T3 Deviation is described as a deviation measure built from intermediate stages of the Tillson T3 calculation. The note credits Bob Fulks and Alex Matulich with improvements to the original T3 calculation. Rather than applying T3 smoothing to a conventional…

Technical indicatorsVolatilityStatistics
Amberdata research

This market commentary surveys Bitcoin and Ether options conditions for the week of May 14, 2023. It relates macroeconomic uncertainty, Federal Reserve expectations, and recent spot-price declines to implied and realized volatility, volatility risk premium,…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This note describes a short-term A-share stock screen using daily price range, relative trading volume, and the opening price’s distance from a 10-day moving average. Its stated conditions select stocks with a range of at least 1%, volume 1.5 to 6 times its…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This stock selection proposal combines a daily amplitude threshold, a recent reversal candle pattern, and a measure described as today’s control rate. Its refined rule requires amplitude above one percent, a reversal pattern within the past three days, and a…

EquitiesTechnical indicatorsVolatilityBacktesting
SuperMind

This Chinese equity screening example combines three conditions: a price amplitude above 1%, an opening price within 5% of the 10-day moving average, and a closing price of 18.5 yuan. The accompanying explanation associates the range condition with…

EquitiesChina marketsTechnical indicatorsVolatility
ProRealCode

The document explains an indicator that expresses current Average True Range as a percentile rank within its own recent history. It calculates ATR using a 20 period window, compares that reading with readings from the preceding 200 periods, counts how many…

VolatilityTechnical indicatorsStatistics
Stratmill research code

The document describes three ways to refine spread trading signals. A threshold filter enters or maintains a long or short spread position only when the predicted spread change crosses a chosen boundary; an asymmetric version allows different boundaries for…

Pairs tradingTechnical indicatorsVolatilityRisk management
Amberdata research

This digital asset snapshot combines price dispersion, order-book conditions, derivatives positioning, ETF flows, stablecoin movements, and DeFi lending measures to describe crypto market stress. Its central reading is mixed: BTC funding is negative while…

CryptoMarket microstructurePerpetual futuresDeFi
ProRealCode

This ProRealTime indicator constructs Renko bricks when price moves beyond the current brick boundary and accumulated trading volume since the previous brick meets a threshold. Users can set a fixed brick size and volume threshold, or enable automatic…

Technical indicatorsVolatilityBreakout
SuperMind

This post outlines a Chinese equity screen for robotics-related stocks. It combines daily amplitude above 1, free-float shares no greater than 5.5 billion, and circulating market value below 10 billion. The accompanying examples show how to express the…

EquitiesChina marketsVolatilityRisk management
SuperMind

This stock-selection recipe combines three conditions: a daily high-low range above 1%, a newly formed KDJ crossover, and a ten-day price gain above zero but below 35%. The article frames the range filter as a way to find active shares, the crossover as a…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This Chinese stock-screening note describes selecting shares with a daily high-low range above 1%, excluding those that closed at the daily price limit on the previous day, and requiring trading activity during 2021. It presents volatility as a way to find…

EquitiesVolatilityTechnical indicators
ProRealCode

This indicator classifies market conditions as sideways, upward, or downward. It first treats a market as sideways if either the average true range is at or below its 20-period average, or the ADX is at or below 25. If neither sideways condition applies, it…

Technical indicatorsTrend followingVolatility
SuperMind

This short-term Chinese stock screen combines a daily range threshold, a weekly five-day moving average crossing above a ten-day moving average, and more than two limit-up sessions within ten days. The document frames the conditions as a blend of volatility,…

EquitiesChina marketsTechnical indicatorsMomentum