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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

The document introduces a financial time-series study using returns on the CSI 300 index. It says the study applies ARCH and related models, compares them, and attempts to fit and forecast both prices and volatility. This places the work in the area of…

StatisticsVolatilityEquitiesChina markets
Amberdata research

An implied volatility surface maps option volatility across strike prices and expirations. This article describes using its shape to assess market expectations, identify options whose implied volatility differs from nearby points, and construct…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This proposed stock screen combines three conditions: an amplitude greater than 1, prior-day actual turnover between 3% and 28%, and a prior-day 9:15 indicative matching price at the limit-down level. The article frames these filters as a way to consider…

EquitiesVolatilityMarket microstructureRisk management
MQL5 code base

This document outlines an expert advisor intended for EURUSD on the hourly chart during the quieter interval after the American session closes and before the Asian session opens. Its configurable inputs include take profit, trailing stop and step, opening…

ForexMean reversionVolatilityPosition sizing
SuperMind

This post proposes a short-term stock screen that combines daily price movement with buying activity attributed to large orders during the auction. Its stated criteria include an amplitude threshold, a closing price around 18.5 yuan, and large-order buying…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

This indicator combines Zigzag swing points with Fibonacci retracement levels to map possible support and resistance areas. Pivots can be identified either by a percentage move or by period highs and lows. The indicator tracks pivot values and direction,…

Technical indicatorsVolatilityTrend following
SuperMind

This stock selection rule combines three filters: price amplitude above 1, freely tradable share count no greater than 5.5 billion, and RSI below 65. The accompanying explanation treats amplitude as a way to find stocks with greater short-term price…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This indicator combines a moving average with upper and lower bands set using the Average True Range. The moving average serves as a baseline for judging trend direction, while the bands show price levels adjusted for recent volatility. Users can configure…

Technical indicatorsVolatilityTrend following
Amberdata research

This market commentary examines how election expectations and macroeconomic events may affect Bitcoin and Ether options. It discusses changes in 25-delta risk reversals, call-versus-put open interest, implied volatility across expirations, and estimated…

CryptoOptionsVolatilitySentiment
MQL5 code base

MACD-v measures the spread between fast and slow exponential moving averages relative to average true range, then scales the result. A smoothed signal line and histogram provide momentum direction and change. The document describes oscillator, histogram, and…

Technical indicatorsMomentumVolatilityTrend following
SuperMind

This stock screen combines three conditions: price amplitude above 1, a dividend payout ratio above 25% for 2019, and a rising-bottom pattern. The document describes amplitude as a way to identify shares with larger price swings, the historical payout…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

This screen targets stocks with a daily high-low range of at least 1% of the low price, a volume ratio between 1.5 and 6 relative to a five-day volume average, and a stock code beginning with 60. The article interprets the range condition as a way to find…

China marketsEquitiesVolatilityTechnical indicators
MQL5 code base

Gaussian Bands is described as a volatility-band indicator similar in purpose to Bollinger Bands. It filters both the centerline and deviation lines with a Gaussian method, and displays two deviation levels above and below the centerline. The document…

Technical indicatorsVolatility
Amberdata research

This market commentary links a cooler inflation reading, revised growth data, and corporate crypto-treasury plans to a cautiously constructive risk backdrop. Its options discussion says BTC block trading leaned toward call selling and put-spread buying,…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

The document outlines two forms of Keltner Channels. Chester Keltner’s original method used a ten-day simple moving average of typical price as the centerline, with a ten-day average of the high-low range added and subtracted to form the bands. A later…

Technical indicatorsVolatilityCommodities
Amberdata research

This weekly market recap reviews BTC and ETH options through realized and implied volatility, term structure, skew, option flows, and dealer gamma. It reports falling realized and implied volatility, especially at the front end, alongside differences in…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

This document describes an indicator that flags candles breaking through Bollinger Bands. It can mark the signal on a chart, color the candle, display the bands, and show an alert message. The indicator offers two breakout definitions: a candle may open…

Technical indicatorsBreakoutVolatility
SuperMind

This article outlines an equity screen using three characteristics: a daily price range above a threshold, at least one large daily gain during the recent 25-session window, and a limited number of freely tradable shares. Its final proposed version sets the…

EquitiesChina marketsVolatilityMomentum
Hummingbot docs

This report summarizes a 48-hour automated trading competition that began with less than 100 USDT per participant. It lists scores, trading volume, profit, and exchanges, and describes eligibility rules and submission issues. The score weighted profit more…

CryptoMarket makingVolatilityRisk management
ProRealCode

This document describes a value chart indicator that plots normalized highs and lows rather than full OHLC candles. It calculates a recent range from summed highs and lows over a configurable depth, derives a central axis and volatility unit from those sums,…

Technical indicatorsVolatilityMean reversion
SuperMind

This proposed equity screen looks for shares with a wide price range, high current volume, a higher opening price, and no limit-up close on the prior day. The article frames these filters as a way to locate liquid, volatile stocks responding to market…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock screen combines three conditions: prior-day price amplitude above a threshold, appearance on the previous day’s publicly reported active-trading list, and a stock code beginning with 60. The article presents the screen as a way to find volatile…

EquitiesChina marketsVolatilitySentiment
SuperMind

The proposed screen looks for stocks with daily amplitude above one percent, at least one limit-up day in the prior 25 days, and a concentration measure within a stated range. The article interprets larger amplitude as greater price movement and a recent…

China marketsEquitiesVolatilityBreakout
SuperMind

This Chinese-language post proposes a stock screen combining daily price amplitude above 1%, turnover between 2% and 9%, and a “today control” condition. It presents the screen as a way to find stocks with notable price movement and active trading, then…

EquitiesTechnical indicatorsVolatilityChina markets