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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

21,023 documents

MQL5 code base

This document explains an interactive chart that arranges price history in a polar coordinate display. The mouse position controls two chart parameters: moving horizontally changes the start date of the displayed history, while moving vertically changes the…

Technical indicatorsStatistics
MQL5 code base

The document explains a Slow Relative Strength Index indicator, describing its inputs and calculation. The user selects a calculation period, smoothing period, applied price, and upper, middle, and lower reference levels. The indicator first smooths price…

Technical indicatorsMomentumStatistics
SuperMind

This excerpt introduces the Fama–French three-factor model as an extension of the Capital Asset Pricing Model. It focuses on two return patterns associated with the model: smaller companies have historically earned more than CAPM would predict, and stocks…

EquitiesFactor investingStatisticsChina markets
BigQuant

The document discusses why high-frequency equity factors may appear strong in isolation but fail to improve stock-selection portfolios. Even after orthogonalization against common equity factors, a signal can have a high information coefficient and strong…

EquitiesFactor investingMachine learningStatistics
SuperMind

The document describes a problem in equity factor models: high-frequency factors can show strong overall information coefficients and long-short returns after being orthogonalized against common factors, yet fail to improve a portfolio when used for stock…

EquitiesFactor investingMachine learningStatistics
MQL5 code base

The document describes a script that scans historical candlesticks across timeframes and reports maximum, minimum, and arithmetic mean measurements for candle bodies, upper shadows, and lower shadows. Results are displayed in a table on the active chart…

ForexVolatilityStatistics
ProRealCode

The document describes an RSI transformation attributed to John Ehlers, intended to make trigger points easier to distinguish. It first calculates RSI, shifts and scales the readings around zero, applies the inverse Fisher transform, and maps the output back…

Technical indicatorsMean reversionStatistics
BigQuant

This article argues that trading outcomes are probabilistic rather than precisely predictable. It challenges confidence in trend-following technical indicators, asserting that their directional accuracy can fall below half, but gives no tests, sample…

StatisticsTechnical indicatorsExecutionRisk management
BigQuant

The article summarizes research on whether mutual fund managers who begin their careers during economic recessions later differ in performance and investment behavior. Using a sample of U.S. actively managed equity funds and managers from 1990 to 2016, the…

EquitiesStatisticsRisk managementPortfolio construction
SuperMind

This A-share screen selects stocks with turnover between 3% and 12%, an opening price within 5% of the ten-day moving average, and a high rank for estimated large-order net inflows. The article describes these filters as a way to combine trading activity,…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock screen combines a daily trading-range condition, a history of at least two apparent limit-up events in a 500-day window, and a rising MACD DEA line. Its stated aim is to find shares with noticeable price movement, prior sharp advances, and a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This article proposes screening Chinese stocks that meet three conditions: membership in a category translated as metaverse, association with beverage and alcohol imports or exports, and prior-day turnover above 8%. It frames the industry classification as a…

EquitiesChina marketsStatistics
SuperMind

This proposed Chinese equity screen combines a turnover range of three to twelve percent with concept and valuation filters. It targets stocks associated with robotics and beverage or alcohol-related business, limits circulating market value to below one…

China marketsEquitiesFactor investingStatistics
SuperMind

This Chinese equity screen combines a daily price-range condition with a robot-concept classification, a circulating market value below 10 billion yuan, and parent-company net profit growth above 20% and at most 100% year over year. The write-up presents the…

China marketsEquitiesMomentumStatistics
ProRealCode

This indicator contribution presents a Dynamic Zone version of RSX for ProRealTime. It first adjusts closing price using half the standard deviation of highs over a 10-bar lookback, then separates upward and downward price changes. Wilder averages over 20…

Technical indicatorsVolatilityStatistics
ProRealCode

This document describes two price oscillators attributed to John Ehlers: Reflex, intended to track the cycle component of prices, and Trendflex, intended to retain the trend component. The supplied indicator procedures first smooth closing prices with a…

Technical indicatorsTrend followingMean reversionStatistics
Cryptohopper blog

This introductory guide explains how to read price charts across crypto, stocks, and currencies. It describes candlesticks as records of open, close, high, and low prices, and presents a hammer during a decline as a possible sign of buying pressure and…

Technical indicatorsStatisticsTrend followingMarket microstructure
MQL5 code base

This document presents alternative MetaTrader 5 functions for finding a bar index by time and counting bars within a time interval. The proposed bar-shift function derives its result from the custom counting function, while an optional exact-match check…

ExecutionStatistics
MQL5 code base

The document explains the double exponential moving average (DEMA), which combines an exponential moving average with a second smoothing pass to reduce lag relative to a conventional moving average. Generalized DEMA adjusts the weights in that combination to…

Technical indicatorsTrend followingStatistics
SuperMind

This market-timing weekly report combines a broad-market regime indicator with short-term risk-appetite factors and sector views. It classifies the market as range-bound when the gap between the 20-day and 120-day moving averages of a broad Chinese equity…

EquitiesTechnical indicatorsStatisticsPortfolio construction
Stratmill research code

The method searches for hedge ratios that make a portfolio spread more stationary according to the Augmented Dickey–Fuller (ADF) test statistic. It defines the spread as the target asset’s price series minus a weighted sum of the other price series, then…

Pairs tradingStatisticsMean reversionArbitrage
MQL5 code base

This document describes a histogram indicator that plots the point difference between the main and signal lines of Ang_Zad_C. It identifies three configurable inputs: a smoothing ratio, the price series used for calculations, and a horizontal shift measured…

Technical indicatorsStatistics
ProRealCode

The document describes CAM, a chart-classification approach that combines the direction of ADX with the direction of MACD. When both rise, candles are marked as an uptrend; when both fall, they indicate a pullback; rising ADX with falling MACD marks a…

Technical indicatorsTrend followingMomentumStatistics