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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

21,023 documents

MQL5 code base

This document presents a bounce-strength indicator for assessing buying or selling pressure while price trades inside a range. The proposed measure relates the close’s position within the bar’s high-low spread to its distance from the range boundary: upward…

Technical indicatorsBreakoutMomentumStatistics
MQL5 code base

The Trend Intensity Index (TII), attributed in the document to M. H. Pee, estimates the balance of recent closing prices above and below a longer moving average. For the described 30-day version, calculate a 60-day simple moving average, then compare each of…

Technical indicatorsTrend followingStatistics
NautilusTrader

The document explains how a simulated trading engine processes each market-data point in three stages: the exchange matches existing orders against the updated market, strategies receive the data and can issue commands, and venues settle eligible commands…

BacktestingExecutionMarket microstructureRisk management
ProRealCode

The document describes a ProRealTime indicator that plots how often a chosen variable falls into a set of value bands over a recent sample of candles. The user selects the variable of interest, such as normalized price range or an indicator reading, then…

StatisticsTechnical indicatorsBacktesting
BigQuant

The document defines the Mass indicator using the high-low range. It first applies an exponential moving average to that range, then smooths the result with a second exponential moving average of the same length. The ratio of the first smoothed range to the…

Technical indicatorsVolatilityStatistics
BigQuant

This forum post presents a DAI query for filtering Chinese A-share records and asks how to save a large result table as an XLS spreadsheet for separate analysis. Its SQL selects dates, instruments, and derived indicators for price-limit events, including…

EquitiesChina marketsTechnical indicatorsStatistics
FMZ forum

This essay explains the distinction between zero-sum and negative-sum trading. Before costs, one participant’s gain in a transaction corresponds to another participant’s loss; after commissions, spreads, or other fees, the combined outcome for traders is…

StatisticsRisk managementExecution
SuperMind

This Chinese-language post describes a stock selection screen using price movement, trading activity, and a short moving-average trend condition. It selects shares whose daily high-low amplitude exceeds a threshold, whose prior turnover adjusted by the ratio…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This document describes a small cross-platform library for comparing floating-point values used in trading code. Its comparison helper applies a chosen precision so that prices or quantities can be checked against thresholds without repeatedly calling a…

ExecutionStatistics
MQL5 code base

The document describes a Fisher Transform oscillator applied to normalized prices. It explains that the transformed series is intended to make price oscillations more distinct, so peaks and troughs in the indicator may help identify possible trend reversal…

Technical indicatorsStatistics
BigQuant

This Chinese Q&A discusses basic factor research and strategy refinement. It recommends using a correlation calculation to compare factors and gives rough absolute-correlation bands for weak and strong relationships. It also suggests tracking factor…

EquitiesFactor investingStatisticsHigh-frequency trading
BigQuant

This Chinese-language discussion asks why a five-day moving average is missing on a date when the closing price appears to be available and the security was not halted. The response offers a possible explanation: a missing close elsewhere in the five-day…

StatisticsTechnical indicators
MQL5 code base

DUCT is described as an indicator that plots a channel using fractals. Its settings determine the timeframe used to locate fractals and channel control points, the amount of historical data to calculate, and the range of bars searched for fractals. A…

Technical indicatorsBreakoutStatistics
vn.py community

The document reports a failure during a VeighNa CTA backtest when the engine calculates performance statistics. The traceback points to annual downside-risk calculation, where the Empyrical statistics package accesses NumPy’s removed `NINF` attribute. NumPy…

BacktestingStatistics
BigQuant

This short quantitative research answer describes a volume-based factor built from two choices: the number of days used to average volume and the number of observations used to measure volatility. Its notation indicates applying a standard deviation to…

StatisticsFactor investingEquities
MQL5 code base

This technical indicator displays how many bars have elapsed since the most recent upper and lower fractal formations. It uses two separate lines in a chart window, with one tracking the upper fractal and the other tracking the lower fractal. The description…

Technical indicatorsStatistics
MQL5 code base

The document describes net volume as an indicator intended to represent the balance of buying and selling pressure over a period. A positive reading is presented as indicating that buying pressure exceeds selling pressure, while a negative reading suggests…

Technical indicatorsMarket microstructureStatistics
SuperMind

This document outlines a Chinese stock screen requiring RSI below 65, year-over-year growth in net profit attributable to parent shareholders above 20% and no more than 100%, and a closing price above the Bollinger middle band but at or below its upper band.…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

The document defines the power weighted moving average (PWMA), a moving average in which each observation in the selected period receives a weight based on its position raised to a configurable power. It identifies three inputs: the lookback period, the…

Technical indicatorsStatistics
Stratmill research code

This document extends a cointegration-based spread strategy from pairs to three or more assets. It forms a weighted combination of log prices using a cointegration vector, then derives a spread return from the same weights. Under stated stationarity…

Multi-assetMean reversionPairs tradingPortfolio construction
SuperMind

This A-share stock screen combines three conditions: RSI below 65, an outside-to-inside volume ratio above 1.3, and daily position growth above 5%. The stated rationale is to find active stocks that may be developing upward momentum. The document provides…

China marketsEquitiesMomentumTechnical indicators
BigQuant

The document summarizes research on applying conditional generative adversarial networks to calibrate individual systematic trading strategies and combine them into ensembles. The proposed workflow covers training and selecting a cGAN on time-series data,…

Machine learningPortfolio constructionBacktestingStatistics
MQL5 code base

The document describes an adaptive bandpass filter intended to isolate market cycles within a selected swing-frequency range while suppressing slower trends and faster noise. It attributes the underlying bandpass-filter concept to John Ehlers and explains…

Technical indicatorsStatistics
SuperMind

This article outlines a prototype for automatically collecting after-hours leaderboard data from the Shenzhen Stock Exchange and sending a list of stocks that appear on it. It frames web scraping as a way to reduce manual review of large volumes of exchange…

EquitiesChina marketsEvent-drivenSentiment