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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
WonderTrader
14 documents
Alphalens
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

79,386 documents

MQL5 code base

The document explains the correlation coefficient as a measure of how two financial instruments move together. Values near positive one indicate similar movement, values near negative one indicate opposite movement, and values around zero indicate little…

StatisticsPortfolio constructionForexTechnical indicators
SuperMind

This stock screen combines daily price movement with technical signals. It seeks shares whose intraday range exceeds 1, whose low is between 4% and 5% below the prior close, and whose three selected indicators form bullish crossovers at the same time. The…

EquitiesTechnical indicatorsMomentumChina markets
Stratmill research code

The document contains reusable strategy calculations for price returns, volatility scaling, trend following, and MACD signals. Its intermediate trend strategy combines the signs of one-month and one-year returns, weighted by a parameter, and applies that…

Trend followingTechnical indicatorsVolatilityRisk management
SuperMind

The document describes a Chinese stock screen that combines three conditions: MACD above its zero axis, a 20-day moving average above the 120-day average, and revenue growth between 2018 and 2021 exceeding a stated ratio threshold. It frames MACD and the…

China marketsEquitiesMomentumTechnical indicators
BigQuant

This document presents the Ppv technical indicator, which uses closing, high, and low prices over a chosen lookback period to derive a midpoint and six price levels. Three levels are labeled as resistance and three as support in the indicator’s formula…

Technical indicatorsEquities
BigQuant

The document explains how to build a fund backtest in a platform whose standard workflow does not directly support fund data. The example strategy buys when a short moving average crosses above a longer one and sells when it crosses below. It describes…

China marketsTrend followingTechnical indicatorsBacktesting
Lumibot

This documentation entry directs coding agents to start from complete LumiBot examples for either AI-based or ordinary Python strategies. It describes the strategy lifecycle at a high level: create agents during initialization and invoke them during each…

Machine learningBacktestingExecutionRisk management
BigQuant

This forum post raises a data-preparation problem in an LSTM trading strategy. The author reports that filtering rows before rolling sequence windows can remove observations that should remain part of the temporal context, causing later observations to shift…

Machine learningEquitiesStatisticsBacktesting
SuperMind

This document describes a Chinese stock selection rule combining a turnover range of 3% to 12%, first-level bid volume greater than ask volume, and at least one limit-up event during the previous month. It interprets these filters as indicators of liquidity,…

EquitiesChina marketsMomentumMarket microstructure
vn.py community

A trading-system forum discussion concerns orders that receive an order number but immediately show as canceled, even though market data, login, and displayed funds appear available. The response proposes several checks: determine whether pre-trade risk…

ExecutionRisk managementFutures
vn.py community

This forum response lists common reasons that take-profit and stop-loss orders may be rejected. It points to rapid price changes, prices outside exchange limits, exchange risk controls, insufficient margin, thin contract liquidity, network or system…

ExecutionRisk managementPosition sizingFutures
Amberdata research

The snapshot combines macroeconomic news with market indicators for Bitcoin, Ether, and Solana. It discusses modest inflation relief alongside tariff and interest-rate concerns, a large loss from a highly leveraged Ether position, and the U.S. decision to…

CryptoFuturesSentimentTechnical indicators
FMZ forum

This post asks how to obtain moving averages covering seven, fifteen, and thirty days through a trading platform’s data and technical-analysis functions. It shows sample calls that request records at several candle intervals and then apply moving-average…

Technical indicatorsStatistics
MQL5 code base

This document introduces an MQL5 example for presenting market data with color scales, gradients, and heatmaps. It uses the RGB color model, which makes it possible to perform mathematical operations on color values, and mentions a standard conversion…

Technical indicatorsMulti-asset
MQL5 code base

This document describes an MQL5 indicator that plots a colored, smoothed price-weighted moving average (PWMA) and displays its latest value as a price label. An input setting controls how many digits are used when rounding indicator levels, so users can…

Technical indicators
MQL5 code base

This brief indicator description explains a chart display that combines two Keltner channels built around one moving average. The channels appear as a colored cloud, with the latest values shown as price labels. This describes a visualization of channel…

Technical indicatorsVolatilityEquities
BigQuant

The article compares two ways to build equity strategies: train a predictive model on chosen factors and a defined stock universe, or specify screening conditions directly. The AI approach can be quicker to assemble, but its behavior may be hard to diagnose…

EquitiesMachine learningFactor investingBacktesting
SuperMind

This Chinese-language post describes a stock screen for companies classified in the metaverse industry. Its core conditions combine the opening price’s relationship to a ten-day moving average with a bounded daily return. The post presents differing…

EquitiesTechnical indicatorsChina markets
ProRealCode

This indicator identifies consecutive bullish White Soldiers or bearish Black Crows candle sequences. Its parameters let the user choose how many candles must appear in a row and optionally require each candle's real body to exceed a chosen share of its full…

Technical indicatorsEquitiesBacktesting
SuperMind

This post presents a daily pre-open screen for Chinese stocks with MACD above zero, positive trailing earnings multiples, and prices below a stated threshold. It frames the MACD condition as a way to identify an upward trend, the positive P/E as a basic…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This community post describes a Chinese equity screen limited to stocks with codes beginning with 60. It combines a daily price-range condition with a previous-session opening-auction match price at the limit-down level, then ranks candidates by popularity.…

China marketsEquitiesTechnical indicatorsRisk management
BigQuant

The report reassesses valuation, growth, technical, and risk factors in Chinese A-shares after removing industry and style influences. Its core method is to adjust factor data for exposures such as industry, market capitalization, or beta, then test whether…

China marketsEquitiesFactor investingBacktesting
SuperMind

This Chinese-language article presents a daily stock screen using three conditions: amplitude above 1, a controlling-shareholder measure above 21 in absolute value, and the closing price above the previous day’s low. It provides example implementations in…

EquitiesTechnical indicatorsMomentumBacktesting