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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

The article proposes selecting stocks whose prior-session price range exceeds one percent, whose MACD crosses above zero, and whose reported total assets exceed 200 million. It presents the range as a volatility filter, the MACD crossing as a bullish…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

The proposed stock screen combines a daily range threshold, a Shanghai-market code prefix, and a recent upward move within the prior 25 sessions. The accompanying explanation treats a wider range as a sign of volatility and recent strength as a possible…

EquitiesChina marketsVolatilityMomentum
MQL5 code base

This H1-only indicator compares the current hourly candle’s range, shown as a percentage, with a range estimate derived from historical averages. The display uses a histogram for the actual candle range and a line for the statistically calculated estimate.…

Technical indicatorsStatisticsVolatility
MQL5 code base

This indicator description presents a Bollinger Bands tool whose calculation period adjusts automatically according to the number of bars in the current day. It is intended for chart intervals from one minute through one day, with the author recommending it…

Technical indicatorsVolatility
FMZ forum

The article describes a constant-mix strategy inspired by Claude Shannon: hold equal portions of an asset and cash, then rebalance after large price moves. Rebalancing sells some of the asset after gains and buys after losses, harvesting price fluctuations…

CryptoVolatilityPortfolio constructionBacktesting
ProRealCode

This document outlines an experimental DAX four-hour strategy built around a SuperBandPass filter and positive and negative RMS bands. It proposes entering long when the filter crosses above the negative band and short when it crosses below the positive…

FuturesTechnical indicatorsVolatilityRisk management
MQL5 code base

This short description introduces Whistler's Active Volatility Energy Price Mass indicator, attributed to Mark Whistler's book on volatility. It lists twelve configurable inputs: periods, shifts, and deviations for fast and slow bands; a calculation period…

Technical indicatorsVolatility
SuperMind

This community post describes a simple A-share stock screen using a daily price-range threshold, a specified closing-price level, and a relationship to the five-day moving average. The stated rationale is to combine a volatility condition, a price filter,…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

The dashboard reviews Bitcoin’s 2025 market through six regimes, tracking price, futures basis, open interest, and spot ETF flows. It argues that an annual return alone obscures large differences between phases, and describes a carry trade that pairs ETF…

CryptoFuturesCarryRisk management
SuperMind

The document presents a Chinese equity screening rule that combines a price movement threshold, the presence of an outstanding convertible bond name, and a limit on the opening price change relative to the prior close. It describes these as signals related…

EquitiesVolatilityTechnical indicatorsChina markets
SuperMind

This stock screen seeks shares with a price amplitude above a threshold, current trading volume above a stated level, a higher opening price, and a listing age greater than a user-defined number of years. The rationale is to find stocks with substantial…

EquitiesVolatilityTechnical indicatorsRisk management
MQL5 code base

The document introduces a stochastic oscillator displayed directly on a price chart. With its default inputs, it is said to calculate in the same way as a standard stochastic based on high and low prices. Its distinguishing feature is the option to use…

Technical indicatorsVolatility
MQL5 code base

This indicator description outlines a channel built around an average price line, with upper and lower bands calculated using high and low historical volatility. It distinguishes this construction from bands based on a single, regular historical-volatility…

Technical indicatorsVolatility
ProRealCode

This indicator adapts a stochastic oscillator by combining a signed measure of recent standard deviation with average true range. The sign of the standard deviation depends on whether the close is above or below its 14-period average. The method then…

Technical indicatorsVolatility
SuperMind

This stock-selection rule looks for shares with an intraday high-to-low amplitude above 1, a daily loss between 4% and 5%, and company size above 200 million. The article frames the conditions as a way to focus on sizable stocks experiencing a sharp decline…

EquitiesChina marketsVolatilityRisk management
ProRealCode

Zeiierman Bands are an indicator and reclaim-signal method built around an envelope whose upper and lower widths can differ. The centre line blends a moving average with a volume-and-range-weighted price estimate adjusted for candle rejection. Each side’s…

Technical indicatorsVolatilityMean reversionRisk management
MQL5 code base

This indicator description explains a trend-envelope approach that uses price movement to decide whether a trend has changed or remains in place. In the described variant, Average True Range (ATR) replaces a fixed percentage change as the basis for measuring…

Technical indicatorsTrend followingVolatility
SuperMind

The document describes a stock screen for Chinese equities whose codes begin with 60, whose turnover rate falls within a specified range, and whose closing price is within a Bollinger Band region. It outlines a Python-style workflow: obtain the eligible…

China marketsEquitiesTechnical indicatorsVolatility
ProRealCode

The document explains an indicator that combines a closing-price reference average with a scaled Average True Range (ATR) to draw two resistance levels above the average and two support levels below it. The reference average moves when price exceeds it by…

Technical indicatorsVolatilityBreakoutMean reversion
Amberdata research

This market commentary reviews Bitcoin and Ethereum options after a rally and a major political event. It reports that realized volatility rose ahead of the event, while front-end implied volatility later fell as the event passed without major crypto policy…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

The indicator measures how often price exceeds a level derived from ATR, then compares a recent breach frequency with its longer history. Its default method tests today’s high and low against bands set using the previous bar’s ATR, so the threshold is fixed…

VolatilityTechnical indicatorsStatisticsRisk management
SuperMind

This post proposes a simple Chinese stock screening rule for 2021. It selects stocks whose daily high-to-low range exceeds one percent and whose closing price is above its five-day moving average. The stated rationale is that a larger range may identify more…

China marketsEquitiesTechnical indicatorsVolatility
Amberdata research

This weekly review links the July 2023 macro backdrop to crypto options pricing and reported trading flows. It describes low realized volatility, steepening futures contango, and a sizable variance risk premium, arguing that low implied volatility alone did…

CryptoOptionsVolatilityDerivatives pricing