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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

79,386 documents

FMZ forum

This guide explains how the FMZ Quant platform organizes strategy development and bot operation. Users manage strategies and bots through the website, while a Docker service on their own or a rented machine connects to exchanges, runs the strategy, and sends…

CryptoFuturesExecutionRisk management
ProRealCode

The document describes the Schaff Trend Cycle (STC), a trend-oriented oscillator built from the difference between short- and long-period Wilder averages. It normalizes that difference against its rolling high and low over a cycle window, scales the result,…

Technical indicatorsTrend followingMomentum
MQL5 code base

This brief description concerns a higher-timeframe version of an IBS, RSI, and CCI indicator for MetaTrader 5. It explains that users can select the indicator chart period through an input setting, allowing the indicator to reference a chosen timeframe. The…

Technical indicators
Lumibot

This repository overview describes a Python framework for building rule-based strategies, AI-assisted decision systems, and combinations of the two. Its central workflow is to test strategy decisions on historical data, inspect simulated orders and reports,…

Machine learningBacktestingExecutionRisk management
backtrader

This example shows how to replay lower-timeframe price data as daily, weekly, or monthly bars in Backtrader. A simple strategy calculates a configurable simple moving average and prints lifecycle messages as the replayed data advances. The script lets users…

BacktestingTechnical indicators
SuperMind

This note describes a stock screen requiring amplitude above a threshold, an opening price near the ten-day moving average, and a six-period RSI below a stated ceiling. The moving-average condition is implemented as a band around the average, while the…

EquitiesTechnical indicatorsVolatilityMomentum
SuperMind

This note presents an A-share stock screen combining daily price amplitude, a specified share price, and positive net buying by large participants during the auction. It interprets amplitude as a sign of price movement and auction buying as evidence of…

EquitiesChina marketsTechnical indicatorsSentiment
BigQuant

This report challenges mean-variance optimization assumptions that returns are normally distributed, volatility captures risk symmetrically, and portfolios should maximize return per unit of risk. It instead frames investor concerns as preserving principal…

Multi-assetPortfolio constructionRisk managementStatistics
SuperMind

This note describes an A-share stock screen that selects securities with codes beginning with 60, daily amplitude above a threshold, and a rising-bottom pattern. It presents the code prefix as an initial universe filter and suggests adding technical,…

EquitiesChina marketsTechnical indicators
FMZ guides

This guide explains how programs can call FMZ’s extension API to retrieve account and robot information, issue commands, and manage robot states. It covers API key creation and per-method permissions, response and status codes, request parameters, and an…

ExecutionMarket microstructureCrypto
ProRealCode

This indicator turns Aroon Up and Aroon Down readings into a color-coded histogram. Using a 14-period lookback and a trigger level of 70, it marks a bullish state when Aroon Up exceeds Aroon Down and reaches the trigger, and a bearish state when Aroon Down…

Technical indicatorsTrend following
ProRealCode

This indicator compares trend conditions across 15-minute, 1-hour, and 4-hour charts. On each timeframe, it scores the direction of five simple moving averages with periods 5, 8, 13, 21, and 34. It also calculates the Accelerator Oscillator from median…

Technical indicatorsTrend followingMomentum
SuperMind

This stock screen combines a technical filter, a revenue comparison, and prior limit-up activity. It selects shares with a 14-period RSI below 65, revenue in 2021 more than 1.1 times revenue in 2018, and at least three limit-up sessions within 500 days. The…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This page describes an Expert Advisor that uses the EMAAngle indicator as an initial directional gate, then checks additional indicators, including Laguerre RSI with a Laguerre filter, two moving averages, and CCI. It states that the EA compares the EMAAngle…

ForexTechnical indicatorsBacktesting
SuperMind

This Chinese-language post outlines an A-share stock screen combining price range, a robotics concept classification, circulating market capitalization, and trading-volume conditions. It seeks stocks with an intraday high-to-low range above one percent,…

EquitiesChina marketsTechnical indicatorsMarket microstructure
Hummingbot docs

This operational guide explains how to reduce the risk of exposing a Hummingbot API used by Condor to manage bots and trading accounts. It outlines threats from public API access, including unauthorized trading, credential misuse, bot changes, and disclosure…

ExecutionRisk managementMarket microstructure
SuperMind

The article describes a Chinese A-share screening rule that combines a technical filter with company earnings growth. It selects stocks with RSI below 65 and year-over-year growth in net profit attributable to the parent company above 20% and no more than…

EquitiesChina marketsTechnical indicatorsFactor investing
MQL5 code base

Parabolic SAR is a chart overlay designed for trending markets. Its dots or line appear below price during an uptrend and above price during a downtrend. When price crosses the indicator, SAR switches sides; the text describes this as a possible signal that…

Technical indicatorsTrend followingRisk management
MQL5 code base

Historical volatility describes how widely an instrument’s returns vary over a selected period. The document presents standard deviation as a common way to measure this dispersion and explains that higher readings indicate larger price fluctuations and…

VolatilityStatisticsTechnical indicators
SuperMind

This post proposes screening stocks for a daily high-low range above 1% during 2021 and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%. It interprets the range threshold as a sign of price…

EquitiesChina marketsVolatilityStatistics
SuperMind

This post outlines a stock-selection rule using three conditions: a gain below 6% at 9:25, positive returns, and ranking by descending capital strength, which the article associates with trading volume. Its rationale is that heavier volume may indicate…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This post describes a Chinese A-share screening rule for main board stocks that are not specially treated. It selects stocks with turnover between 3% and 12%, a daily gain above 1%, and at least two limit-up events within a stated 500-day lookback. The…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This overview introduces three assumptions commonly associated with technical analysis: market activity is reflected in prices, prices tend to move in trends, and historical patterns may recur. It also frames volume, price, time, and range as core elements…

Technical indicatorsTrend followingEquitiesFutures
SuperMind

This stock-selection rule combines three filters: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and a session low-to-previous-close decline between 4% and 5%. It is presented as a way to find Chinese…

EquitiesChina marketsTechnical indicatorsMomentum