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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

31,205 documents

ProRealCode

This indicator description introduces the Adaptive Composite Moving Average (ACMA), which combines distance-based weighting, recency weighting, and an efficiency-ratio measure of trend strength. It offers four modes: favor prices near the mean, favor recent…

Technical indicatorsTrend followingVolatilityBacktesting
SuperMind

This Chinese equity-screening note combines three price conditions: a daily range above a stated threshold, no limit-up close on the previous trading day, and a current high equal to the highest high across two days. The proposed rationale is that wide price…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

This Chinese stock-screening note describes selecting companies associated with the metaverse theme, requiring the five-day moving average to rise from its prior value, and excluding STAR Market listings. It gives equivalent screening logic for a market-data…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

LeManChanel is described as a technical indicator that estimates the possible boundaries and direction of the next bar. The document identifies the indicator’s original implementation as an MQL4 publication from 2009 and credits LeMan as its author. The…

Technical indicators
SuperMind

This document describes an equity screen combining a 3%–12% turnover-rate range, a candlestick reversal condition, and a circulating-share limit of 5.5 billion shares. It gives a corresponding formula and sample data workflow that calculates a reversal…

EquitiesTechnical indicatorsChina markets
MQL5 code base

The document describes a chart indicator that displays bull power and bear power together in one MetaTrader 5 window. Its stated motivation is that the two measures have different value ranges, which makes a direct overlay in a shared scale difficult to…

Technical indicators
SuperMind

This post describes a Chinese equity screening rule using three conditions: daily high-low range above 1% of the prior close, a positive but less than 35% return over ten days, and at least one limit-up event during the prior 25 days. The stated rationale is…

EquitiesChina marketsMomentumVolatility
NautilusTrader

This tutorial demonstrates a component-level backtest workflow using NautilusTrader. It loads historical Binance ETH/USDT trade ticks, configures a simulated spot venue with a cash account and maker-taker fees, and aggregates ticks into bars. A strategy…

CryptoTechnical indicatorsTrend followingExecution
MQL5 code base

This brief indicator description introduces a trend tool that displays a colored histogram based on the difference between a Hull Moving Average and an averaging of that moving average. Its stated purpose is to make the trend signal visible in histogram…

Technical indicatorsTrend following
SuperMind

This Chinese-language post proposes a stock screen combining three conditions: daily amplitude above a threshold, today’s price relative to moving averages in an upward configuration, and a prior-session signal described as main-force control. The rationale…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document describes an accumulated version of the Relative Strength Index (RSI). It forms a new oscillator by combining consecutive RSI calculations, then interprets that oscillator with adaptive thresholds such as floating levels or quantile bands. The…

Technical indicatorsMean reversionBacktesting
MQL5 code base

The document describes an indicator that displays the current trend using values from the Skyscraper_Fix indicator on a fixed timeframe. The signal is derived from the color of the original indicator’s middle line. Markers appear on the chart when a bar…

Technical indicatorsTrend following
SuperMind

This post outlines a rule-based screen for Shanghai-listed shares with codes beginning in 60. It first restricts candidates to stocks with turnover between 3% and 12%, then requires the previous day’s price to exceed its 250-day moving average. The stated…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

The document describes a Chinese A-share stock screen focused on the metaverse sector. It selects stocks whose opening price is less than 6% above the prior close, whose price chart resembles a rounded arc, and whose Bollinger Band width is below 0.05. The…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This indicator description explains how to display JMACandle bars from a higher timeframe on a chart. It draws each candle as a filled rectangle using fill buffers, distinguishing the candle body from its shadows with separate colors. Up and down candle…

Technical indicatorsFutures
SuperMind

This Chinese stock-selection note describes a screen that ranks companies by descending capital strength, limits turnover to a band above 2% and below 9%, and selects firms with market capitalization under 10 billion yuan that are not loss-making. It…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

The document describes an Average Daily Range indicator that uses historical price data to estimate a typical daily range. It compares the current day’s movement with that average and displays how much of the expected range has already been covered,…

Technical indicatorsVolatility
MQL5 code base

The note describes a variation on the TRIX oscillator that uses a linear regression value as its signal line. It refers to an earlier argument that this approach may be preferable to using the oscillator’s slope, then presents the variation without…

Technical indicatorsMomentumBacktesting
SuperMind

This stock-selection example combines a historical dividend payout filter with a liquidity screen. It selects shares whose 2019 dividend payout ratio exceeded 25% and whose prior-day turnover was above 60 million, then ranks candidates by a stated measure of…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This Chinese equity screening idea combines a daily price range filter, a history of limit-up moves, and year-over-year earnings-per-share growth. It seeks stocks with an amplitude above one percent, at least two qualifying limit-up events within the…

EquitiesChina marketsMomentumTechnical indicators
ProRealCode

This indicator description presents market strength as a way to distinguish directional trends from weak, range bound conditions. Its supplied logic uses the Average Directional Index (ADX) to mark changes in trend strength and a stochastic oscillator to…

Technical indicatorsTrend followingMomentumRisk management
SuperMind

This document presents a stock-selection idea that combines membership in the metaverse theme with a rising 30-day moving average and a positive weekly-price condition. It frames the combination as a way to find equities with recent strength and an upward…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equities selection rule screens for turnover between 3% and 12%, a circulating market value between 5 billion and 10 billion yuan, and a positive weekly price bar. The document presents these filters as a way to focus on actively traded stocks…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document describes a Chinese equities screen using turnover between 3% and 12%, a positive product of price change and net large-order flow, and a limit on tradable shares. It frames these filters as a way to combine trading activity, capital flows,…

EquitiesChina marketsMomentumMarket microstructure