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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

79,386 documents

FMZ forum

The document presents two chart-based trading setups. In the 1-2-3 method, price breaks a prior trend line, retraces, and turns back in the opposite direction; a qualifying retracement must meet a stated fraction of the first move. The proposed entry follows…

EquitiesTechnical indicatorsBreakoutRisk management
Freqtrade docs

This documentation explains how a Freqtrade instance can act as a producer, broadcasting analyzed dataframes and whitelists over a message websocket, while one or more consumer instances reuse that information. The approach lets consumers access indicators…

Technical indicatorsExecutionMarket microstructure
SuperMind

The document outlines a Chinese equity screening rule combining a daily amplitude threshold, a previous session’s 9:15 matched price at the limit-down level, and year-over-year net profit growth attributable to parent-company shareholders within a specified…

EquitiesChina marketsTechnical indicatorsTrend following
MQL5 code base

The document describes a protective expert advisor that monitors account equity and can close open orders and disable automated trading when a configured threshold is reached. It presents two uses: an equity take profit that halts trading after gains reach a…

Risk managementExecution
MQL5 code base

The document gives a brief definition of the harmonic mean. For a series of values, it is calculated by taking the number of observations and dividing it by the sum of their reciprocals. Equivalently, it is the reciprocal of the arithmetic mean of the…

Statistics
BigQuant

The article outlines common aims of algorithmic execution: splitting a parent order to follow market volume, reducing market impact, and concealing trading intent. It also presents automation as a way to improve order-entry efficiency and reduce manual…

ExecutionMarket microstructureHigh-frequency tradingMachine learning
MQL5 code base

This indicator combines a moving average with Average True Range bands. It plots the moving average as a central reference, with upper and lower bands at 1.5 and 2 ATR distances. The proposed entry is a close across the moving average: a long signal follows…

Technical indicatorsVolatilityTrend followingRisk management
SuperMind

The document describes a short-term Chinese A-share screening rule. It selects stocks with a daily high-to-low range above 1%, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It also excludes…

EquitiesChina marketsTechnical indicatorsPosition sizing
SuperMind

This note describes a Chinese stock screen combining price amplitude above 1%, a prior-day main-fund-control condition, and exclusion of ChiNext and STAR Market stocks. It presents amplitude as a way to avoid low-movement securities and a main-fund-flow…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note proposes a Chinese equity watchlist screen requiring daily price amplitude above 1%, at least one limit-up event during the preceding 25 days, and a listing age greater than one year. It presents volatility as a way to find stocks with larger price…

EquitiesChina marketsVolatilityBreakout
Freqtrade docs

This documentation explains how to configure FreqAI within a Freqtrade configuration and strategy. It outlines core settings for training and backtesting periods, model identification, timeframes, correlated pairs, shifted candles, indicator periods, labels,…

CryptoMachine learningBacktestingStatistics
SuperMind

This note describes a daily, post-close screen for Chinese equities. It selects stocks whose MACD line is above zero, uses trading interest to rank candidates, and specifies a closing price of 18.5 yuan. The accompanying discussion interprets positive MACD…

EquitiesTechnical indicatorsMomentumChina markets
quant-trading

This example describes two ways to use the relative strength index (RSI) in an equity backtest. Its basic signal rule uses a smoothed moving average to calculate RSI, then takes a short position above 70 and a long position below 30, remaining flat between…

EquitiesTechnical indicatorsMean reversionBacktesting
SuperMind

This note outlines a short-term Chinese equity screen that combines a daily price-range threshold, rising short-term moving-average behavior, and an increase in the K component of KDJ. It presents these conditions as signals of volatility and possible…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This note proposes screening Chinese equities associated with the metaverse theme, requiring a positive institutional-flow measure and a weekly crossover involving a 30-week reference. The intended rationale is to combine thematic exposure, evidence of…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This guide surveys data services that traders and researchers might use for market quotes, historical bars, and related financial information. It discusses Google Finance, Finnhub, iTick, and Bloomberg, contrasting broad asset coverage, real-time delivery,…

Multi-assetForexCryptoEquities
SuperMind

This note describes a Chinese equity screen combining turnover between 3% and 12%, a K value below 20, and positive MACD. It further frames selection around MACD behavior above the zero line, while its indicator example favors rising MACD and its Python…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This overview explains Chinese depositary receipts (CDRs) as securities traded domestically that represent rights in foreign shares through a depositary institution. It summarizes the historical pilot eligibility criteria described in the document, says…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This post presents an A-share selection rule that combines daily price movement, convertible-bond information, and a moving-average trend filter. Its stated criteria include an amplitude above 1, a nonempty name for outstanding convertible bonds, and a…

EquitiesChina marketsTechnical indicatorsVolatility
FMZ forum

This tutorial explains how the OKCoin spot API’s market orders interpret the amount parameter. It describes a backtest example that estimates a buy quantity from the latest price, then submits a market buy with a cash-denominated amount. The author contrasts…

CryptoSpot marketsExecution
SuperMind

This stock screen selects shares listed in 2021 with turnover between 3% and 12% and an RSI below 65. The accompanying explanation presents turnover as a liquidity or activity filter and RSI as a short-term price condition. A technical-indicator example uses…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines three conditions: MACD above its zero axis, three consecutive down days, and at least two limit-up sessions within the previous 500 days. The accompanying discussion frames positive MACD as a trend filter and prior…

EquitiesChina marketsTechnical indicatorsMomentum