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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
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 document outlines a simple Chinese A-share screening rule: select stocks with a daily high-low amplitude above a threshold, exclude Beijing-listed shares, and require the indicated 9:25 a.m. gain to remain below a ceiling. It presents the screen as a way…

EquitiesTechnical indicatorsVolatilityChina markets
MQL5 code base

The note presents an adaptive alternative to standard deviation for measuring market variation, which traders commonly use as a proxy for current volatility. Instead of basing its mean on a simple moving average, this method uses exponential moving average…

VolatilityTechnical indicatorsStatistics
BigQuant

This report examines futures open interest and broker position data as clues to capital flows and possible price behavior, using rebar futures as its main example. It argues that volume or open interest alone may be weak predictors, while the…

FuturesCommoditiesVolatilityMomentum
ProRealCode

The indicator combines two Bollinger Bands calculations. A wider band pair is plotted as an envelope, while a second pair, using a smaller standard deviation, defines a neutral zone. The close above the inner upper band colors the envelope to indicate a…

Technical indicatorsBreakoutVolatility
MQL5 code base

This short note describes an Average True Range band indicator converted from TradingView to MQL4. It suggests using ATR as a guide for setting a stop loss or exit when an entry is not based on a reversal. It also identifies trailing stops, including a…

Technical indicatorsVolatilityRisk management
Amberdata research

This article explains how to read implied-volatility skew in cryptocurrency options using the 25-delta risk reversal and butterfly. Risk reversal compares call and put implied volatility at matching deltas to show which side of the market is more bid; the…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This stock-screening idea combines three conditions: a large high-low price range relative to a volatility measure, at least one strong daily gain during the recent trading window, and a signal interpreted as institutional buying. The accompanying discussion…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

This proposed stock screen combines a price-range threshold, a minimum listing age, and a bounded price-change condition. The stated rule seeks shares with amplitude above 1, listed for more than a year, and a change between minus 2% and plus 5%. The article…

EquitiesChina marketsMomentumVolatility
MQL5 code base

The document briefly describes a technical indicator for MetaTrader 4 built from six lines around a high-price moving average. The outer line is offset by twice the ATR multiplied by a configurable multiplier; inner lines use progressively smaller ATR-based…

Technical indicatorsVolatility
SuperMind

This note proposes a Chinese stock screen combining three conditions: a prior-session high-low range greater than 1% of the prior close, free float no larger than 5.5 billion shares, and a 2019 dividend ratio above 25%. The code examples intersect the…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This note describes a short-term stock screen for Shanghai-listed shares. It selects stocks whose daily high-low range exceeds 1% of the open, whose code begins with 60, and whose opening price falls between the prior and current 10-day moving averages of…

EquitiesChina marketsTechnical indicatorsVolatility
ProRealCode

This indicator combines fast and slow ATR-based trailing stop lines. Each line follows price using an ATR distance and adjusts according to whether the close remains above or below its prior stop level. The slow line acts as a conventional trailing stop…

Technical indicatorsVolatilityTrend following
MQL5 code base

This indicator combines rank autocorrelation measures calculated from open, close, high, and low prices into a single display. It uses the open-to-close correlation to determine candle colors as a representation of trend direction, while correlations…

Technical indicatorsStatisticsVolatilityMomentum
SuperMind

This Chinese stock-selection note combines three filters: daily price amplitude above a threshold, positive institutional net flows, and a positive recent return. It describes the first as a way to find more volatile shares, the flow condition as evidence of…

EquitiesChina marketsMomentumVolatility
SuperMind

This Chinese equity screen seeks stocks with daily amplitude above 1, current trading volume above 10,000 lots, an opening price above the previous close, and association with the metaverse theme. It frames large price swings and active trading as signs of…

EquitiesVolatilityMomentumChina markets
BigQuant

This study examines Bitcoin risk using high-frequency returns and realized variance, with particular attention to jumps and their role in forecasting. It finds that conventional jump measures can be biased by frequent, extended price moves. Threshold-based…

CryptoVolatilityRisk managementStatistics
SuperMind

This document describes a stock screen for the Chinese beverage and alcohol import-export industry. It selects shares with a 14-period RSI below 65 and a closing price above the Bollinger middle band but below the upper band, using a 20-period moving average…

EquitiesTechnical indicatorsChina marketsVolatility
ProRealCode

This indicator projects five future price percentiles using a geometric Brownian motion model calibrated from recent log returns. The median follows estimated drift, while the upper and lower bands spread with the square root of the forecast horizon. A…

StatisticsVolatilityMachine learningRisk management
ProRealCode

This indicator description explains an intraday VWAP whose calculation and display are bounded by configurable start and end times in hhmmss format. Within the selected interval, it accumulates price multiplied by volume and divides by cumulative volume. It…

Technical indicatorsVolatilityFuturesExecution
SuperMind

This note proposes a short-term Chinese stock screen using price amplitude, a recent large daily gain, and the Relative Strength Index. Its stated criteria are amplitude above 1, at least one daily gain of 10% or more in the prior 25 trading days, and RSI…

EquitiesTechnical indicatorsVolatilityMomentum
SuperMind

This note describes a Chinese equity screen that combines strong performance during 2021 with high daily price range and positive institutional net flows. Its final rule selects stocks in the top 30% by 2021 gains, with amplitude above 1 and positive…

EquitiesMomentumVolatilityRisk management
SuperMind

This A-share screening rule combines three conditions: daily amplitude above 1%, an afternoon large-order net-inflow signal, and a closing price of 18.5 yuan. The accompanying formula approximates the range using the high and prior close, and defines the…

EquitiesVolatilityMarket microstructureTechnical indicators