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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 A-share screening idea selects stocks with daily price amplitude above 1, more than two limit-up days in the past ten days, and a favorable enterprise profile. The post interprets repeated limit-ups and high amplitude as signs of market attention and…

EquitiesMomentumVolatilityTechnical indicators
Amberdata research

This midweek market recap summarizes changes in Bitcoin options conditions, with brief coverage of volatility, term structure, skew, option flows, and gamma positioning. It reports that realized volatility continued to rise, implied volatility farther out on…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This stock screen combines daily price amplitude above 1% with turnover above 2% and no more than 9%, limited to trading dates in 2021. It is presented as a way to find shares with meaningful price movement and moderate trading activity. The document gives a…

EquitiesVolatilityTechnical indicatorsChina markets
SuperMind

This proposed Chinese equity screen combines daily amplitude, an opening-auction price-change or order-imbalance signal, large-order buying, and a historical year filter. The stated thresholds include amplitude above 1, an auction-related change above 3…

EquitiesChina marketsMarket microstructureVolatility
MQL5 code base

XPercentR-PCR is presented as a simple oscillator displayed as a colored cloud, with cloud color indicating trend direction. Its listed settings include a lookback period, smoothing method and depth, a phase parameter, and upper and lower levels intended to…

Technical indicatorsTrend followingVolatility
SuperMind

The document outlines a Chinese stock screen combining daily price range and turnover with a multi-year revenue comparison. Its initial conditions require an amplitude above 1%, turnover between 2% and 9%, and revenue in 2021 exceeding 2018 revenue by a…

EquitiesChina marketsFactor investingVolatility
ProRealCode

This indicator combines a zero-lag exponential moving average (ZLEMA), an ATR-based band, and an RSI-ADX filter intended to identify sideways conditions. A bullish or bearish trend state begins when price crosses beyond the corresponding band; the state is…

Technical indicatorsTrend followingVolatilityForex
MQL5 code base

This A-share screening strategy looks for stocks with an amplitude above 1, at least one limit-up day in the prior month, and a gain below 6% at 9:25. Its expanded version also selects the top 50 by circulating market-cap rank and requires a dynamic…

China marketsEquitiesMomentumVolatility
SuperMind

This stock-screening proposal combines a daily price-range condition, positive price-to-earnings ratio, and a high dividend payout ratio in a specified historical year. It presents the range filter as a way to find active stocks, positive PE as an indication…

EquitiesVolatilityFactor investingRisk management
SuperMind

This stock screen combines a positive MACD condition with a rising signal line, then filters for shares whose high-to-low range over a recent lookback exceeds a stated threshold. The article frames the approach around stocks with upward technical momentum…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This note proposes screening stocks for a daily high-low range greater than 1% of the previous close, a positive price-to-earnings ratio, and a price increase over the preceding 252 trading sessions. It describes the criteria as a way to combine price…

EquitiesMomentumVolatilityTechnical indicators
SuperMind

This document presents a stock-selection screen for the Chinese market. It combines three conditions: daily price amplitude above 1%, at least one limit-up event during the preceding 25 days, and turnover above 8% on the previous day. Stocks passing the…

China marketsEquitiesMomentumVolatility
Amberdata research

This report studies whether DeFi lending activity in USDC, USDT, and DAI is associated with Ethereum volatility. It estimates daily volatility with the Garman-Klass method, which uses open, high, low, and close prices, then applies Augmented Dickey-Fuller…

CryptoDeFiVolatilityStatistics
BigQuant

This note introduces the Dual Thrust indicator and specifies how to calculate its upper and lower bands from recent price data. It compares the recent high-to-close range with the close-to-low range, uses the larger value as the reference range, then offsets…

Technical indicatorsBreakoutVolatility
SuperMind

This stock-selection rule narrows its universe to companies classified in the metaverse industry, then requires relative volume to be above 1.5 and below 6 and a six-period RSI below 65. The accompanying explanation presents the volume range as a filter for…

EquitiesMean reversionTechnical indicatorsVolatility
SuperMind

This Chinese equity screen combines price amplitude above 1, a rounded price shape, and a requirement that the previous session was not a limit-up day. The accompanying indicator expression also imposes conditions involving a 60-session price range relative…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This short description covers an indicator that plots upward or downward arrows when selected technical indicators meet configured conditions. The conditions can be based on one indicator or a combination of two, giving the user a way to visualize signals on…

Technical indicatorsMomentumVolatility
SuperMind

The post proposes a stock-selection screen for Chinese A-shares combining three conditions: daily high-low range above 1%, a newly formed KDJ crossover, and a rise of more than 5% in the K value. The rationale is that a larger range signals volatility, the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes an A-share stock screen combining amplitude above 1, a prior-day 9:15 matched price at the limit-down price, and a current-day maximum decline between 4% and 5%. It presents indicator formulas and illustrative Python-style selection…

EquitiesChina marketsVolatilityTechnical indicators
Stratmill research code

The document presents a simplified high-frequency grid market-making approach inspired by GLFT. Rather than dynamically estimating order-arrival intensity to set spreads and skew, it uses recent price volatility to determine quote distance. Inventory is…

CryptoHigh-frequency tradingMarket makingGrid trading
MQL5 code base

This indicator combines a trend direction signal with a price envelope. Trend direction and color are determined by the slope of the Double Exponential Moving Average (DEMA). Separately, the displayed upper and lower values use high and low prices processed…

Technical indicatorsTrend followingVolatility
Amberdata research

This podcast introduction describes a discussion with T3 Index founder Simon Ho about volatility indexes, options trading, and building an index business. It identifies Spike as an index derived from SPY options that competes with the Cboe VIX, and mentions…

OptionsVolatilityEquitiesCrypto
ProRealCode

This proposed breakout strategy enters long after a bullish candle closes above the prior eight-bar high, or short after a bearish candle closes below the prior eight-bar low. In either direction, the candle’s body must exceed the 24-period average true…

FuturesBreakoutVolatilityTechnical indicators
SuperMind

This document describes a Chinese equity screening rule that combines daily amplitude above a threshold, a limited price gain at the 9:25 auction, and positive net buying attributed to major participants. The rationale is to select stocks showing price…

EquitiesChina marketsMomentumVolatility