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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

MQL5 code base

The document outlines a MetaTrader 5 expert advisor that combines moving average crossover signals with grid entries. It describes using fast and slow simple moving averages on an hourly chart, with volume and volatility checks to filter signals. Additional…

ForexGrid tradingTrend followingRisk management
MQL5 code base

This indicator changes two parts of a conventional RSI setup. First, it filters prices with a selectable moving average before calculating RSI, aiming to reduce false signals without adding substantial lag. Second, it assesses trends with Discontinued Signal…

Technical indicatorsTrend followingMean reversion
ProRealCode

This visual indicator assigns signed levels from one to nine using RSI readings. For each level, it checks whether RSI is above or below the midpoint of 50: readings above it receive a positive level, and readings below it receive a negative level. The…

Technical indicatorsMean reversionMomentum
MQL5 code base

This indicator example applies spectral filtering to the Average Directional Index (ADX). It transforms the ADX time series into frequency components and removes higher-order harmonics to produce a smoother series. The stated motivation is to reduce…

Technical indicatorsTrend followingStatistics
ProRealCode

This note describes Trend Force, an indicator that displays bullish and bearish trend strength as separate measures. Bullish strength compares the close with the lowest low over a recent lookback, while bearish strength compares the highest high with the…

Technical indicatorsTrend followingVolatility
OctoBot

This short description covers an indicator that displays the current spread on a trading chart. It says users can adjust the displayed font, text color, and font size, and choose where the spread label appears. Four chart corners are available through a…

ExecutionMarket microstructure
MQL5 code base

This article compares five platforms for automating cryptocurrency trades: OctoBot, CryptoHero, 3Commas, Cryptohopper, and Pionex. It describes available approaches such as grid trading, dollar-cost averaging, signal following, market making, and AI-assisted…

CryptoGrid tradingMarket makingBacktesting
MQL5 code base

This brief description introduces a Williams Percent Range indicator, commonly called WPR, that can calculate from a selected price series: close, high, or low. The main practical point is that the input price type is configurable, so the displayed…

Technical indicators
SuperMind

This Chinese-language article describes an equity screen restricted to the metaverse concept group. It selects stocks whose close is above the five-day moving average and whose weekly MACD is above zero, using these conditions as short- and medium-term trend…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This post describes a Chinese equity screen combining three conditions: a positive MACD reading, membership in selected beverage and alcohol import-export industry classifications, and a daily percentage change below a stated ceiling. Its example…

EquitiesTechnical indicatorsMomentumPortfolio construction
BigQuant

The document summary highlights two applications of machine learning in quantitative investing. First, it describes forecasting volatility to inform how capital is allocated among strategies, based on the claim that many strategies’ profitability is closely…

Machine learningVolatilityRisk managementPortfolio construction
SuperMind

This Chinese stock-selection rule screens for companies associated with the metaverse theme, with the previous day’s actual turnover rate between 3% and 28%, while excluding stocks on the STAR Market. The stated rationale is that turnover may reflect…

EquitiesChina marketsTechnical indicatorsStatistics
MQL5 code base

The document describes an Expert Advisor that trades signals from the AMkA indicator. It checks for a newly colored point when a bar closes and requires the latest point and the two preceding points to have different colors. The text indicates that this…

ForexTechnical indicatorsBacktesting
ProRealCode

The indicator applies linear regression to a price momentum series, then plots a lagged copy of the regression line as a signal line. The suggested entry cue is a crossover between these two lines. Its parameters control the momentum lookback, regression…

MomentumTechnical indicatorsStatistics
MQL5 code base

This Expert Advisor generates signals from intersections of TDI-2 indicator lines, evaluated when a bar closes. It follows the direction of the signal and adds to an existing position when the profit from the most recent trade, measured in points, exceeds a…

ForexTechnical indicatorsTrend followingPosition sizing
BigQuant

This sample describes a high-dividend stock-selection model for Chinese equities. The process excludes special-treatment stocks, suspended securities, and Beijing Stock Exchange listings. It then screens for larger companies by market-capitalization rank,…

EquitiesFactor investingPortfolio constructionBacktesting
SuperMind

This sample strategy selects Chinese equities using a dividend yield ranking alongside size and valuation filters. It first removes special-treatment stocks, suspended shares, and Beijing Stock Exchange listings. From the remaining universe, it favors…

EquitiesFactor investingPortfolio constructionBacktesting
ProRealCode

This indicator adapts the SuperTrend period using the coefficient of determination from a rolling linear fit of recent prices. It computes an R-squared value over the configured lookback and uses that value to adjust the period supplied to SuperTrend, aiming…

Technical indicatorsTrend followingStatistics
MQL5 code base

This brief description introduces a semaphore-style signal indicator built from crossovers between lines of the Digital CCI Woodies indicator. It identifies the indicator’s author and notes that its implementation relies on a SmoothAlgorithms library for…

Technical indicatorsEquities
BigQuant

This forum post reports a suspected data-quality problem in a Chinese stock valuation dataset. The author observed that the September 14, 2022 snapshot appeared to contain more than 1,600 missing or erroneous records, while the adjacent dates seemed to have…

EquitiesChina marketsStatistics
SuperMind

This article describes a Chinese stock screening rule that combines daily price range, a recent reversal-style candlestick condition, and a low KDJ value. Its stated final criteria are amplitude above 1%, a reversal pattern within the past three days, and K…

EquitiesTechnical indicatorsChina markets
SuperMind

This A-share stock screen selects shares with a daily trading range above a stated threshold, positive estimated main-fund flow on the prior day, and MACD above its zero line. The MACD condition is intended to identify stocks with positive trend momentum,…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This A-share screening idea combines an RSI below 65 with an external-to-internal trading volume ratio above 1.3 and a reversal or engulfing pattern. The article also describes filtering for a positive but bounded ten-day price change and checking recent…

EquitiesTechnical indicatorsChina marketsMomentum