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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

16,761 documents

MQL5 code base

The document describes an MT5 scalping expert advisor that combines six entry filters: dual moving-average trend direction, ATR-based trend strength, price location relative to the averages, a volatility-buffered N-bar breakout, an RSI range check, and…

ForexBreakoutTechnical indicatorsRisk management
FMZ forum

The article investigates why MACD values from TradingView and FMZ differ despite matching results across several FMZ indicator implementations. To isolate the discrepancy, the author compares EMA values and writes a manual EMA calculation, which agrees with…

Technical indicatorsStatisticsBacktesting
SuperMind

This stock selection idea combines three technical conditions: a 14-period RSI below 65, three consecutive sessions with falling candles, and a newly formed bullish KDJ crossover. The intended rationale is to find shares that have recently weakened but may…

EquitiesTechnical indicatorsMomentumBacktesting
BigQuant

This post describes a Chinese equity factor inspired by a research report. Its volume component divides the trading session into five-minute intervals, measures each stock’s share of market volume, and uses Shannon entropy to characterize how that activity…

China marketsEquitiesFactor investingStatistics
SuperMind

This Chinese-market equity screen selects stocks with a minimum price amplitude, a bounded product of prior turnover and a current-to-prior volume measure, and more than a year since listing. The article explains the approach as a technical screen focused on…

EquitiesChina marketsTechnical indicatorsBacktesting
MQL5 code base

This document describes an Expert Advisor that trades signals from the BnB trend indicator. It generates a signal when a bar closes and the indicator’s cloud changes color. The EA is presented as a way to automate entries based on that indicator event; the…

CommoditiesTrend followingTechnical indicatorsBacktesting
BigQuant

This report discusses how China’s changing investor mix may alter equity factor behavior, using earnings momentum as its example. It argues that institutionalization and international investment can support fundamental factors over the long term, while…

China marketsEquitiesFactor investingMomentum
MQL5 code base

The document describes a script that exports values from built-in MQL5 indicators to a CSV dataset for analysis. It identifies several indicator buffers, including the center and outer Bollinger Bands, ADX lines, MACD and signal lines, RVI, Stochastic, tick…

Technical indicatorsMachine learningBacktestingStatistics
SuperMind

This article outlines a stock-selection screen that combines institutional trading activity with price trends. The initial conditions are a daily increase in reported holdings above a stated threshold, positive institutional direction, and a rising 30-day…

EquitiesMomentumTechnical indicatorsFactor investing
SuperMind

The document describes a rules-based screen for mainland China main-board stocks. It selects shares with RSI below 65, a daily gain above 1%, and a positive ten-day return below 35%. The accompanying indicator logic also references a crossover where the J…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This research note proposes a price-spread deviation factor intended to measure whether a stock is relatively expensive or cheap compared with similar stocks. It frames the signal as a relative reversal measure: stocks that have recently lagged peers are…

EquitiesMean reversionFactor investingPortfolio construction
SuperMind

This BigQuant example builds a daily Chinese equity strategy using a filtered stock universe and recent volume ratios. It screens stocks in the CSI 1000 universe across several board segments, excludes suspended and special-treatment stocks, and applies…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This document presents a daily equity screen for China’s main board. It selects stocks using three conditions: price range during the session above a stated threshold, an afternoon large-order net inflow condition, and a daily gain above a stated threshold.…

EquitiesChina marketsMomentumTechnical indicators
Stratmill research code

This document describes a data-conversion workflow for preparing Hyperliquid market feeds for HftBacktest. It reads timestamped stream records, handles trade and level-two book messages, and converts them into typed depth and trade events using configurable…

CryptoMarket microstructureBacktestingExecution
MQL5 code base

The document reports a historical test of a long-only EURCHF strategy on 15-minute bars, covering a short period in early 2014. Its listed settings include one-lot trades, a stop loss, a take profit, and a trailing stop. The report shows 67 completed trades,…

ForexBacktestingRisk managementExecution
MQL5 code base

This document describes an Expert Advisor that combines two independent trading systems, one based on BykovTrend_V2 and the other on ColorX2MA. Each system can generate an entry when a bar closes and either indicator changes color to signal a trend change.…

ForexTrend followingTechnical indicatorsBacktesting
ProRealCode

This strategy accumulates long positions in the NASDAQ Composite when price crosses above prior highs measured over several lookback windows. Entries use five horizons, from short to longer, and require a rising weighted-average price filter. Each signal…

EquitiesUS marketsBreakoutMomentum
ProRealCode

The document describes a pair of adaptive moving averages intended for use like slower conventional averages. The main average starts with a smoothing factor determined by a length setting. When price makes new rolling highs while above the average, or new…

Technical indicatorsTrend followingBacktesting
Amberdata research

This note describes a two-stage ranking factor for equities. For each stock, it ranks the recent ten-day low-price observations through time, then ranks those values across stocks on the same date. The intended interpretation is that a larger final factor…

EquitiesFactor investingStatisticsBacktesting
Lumibot

This page catalogs trading bot examples built around AI agents, ranging from copying reported investor or insider holdings to sentiment signals, agent debates, options strategies, intraday rules, and macro or sector portfolio discussions. It outlines…

Machine learningBacktestingOptionsEquities
FinRL

This quick-start example outlines a FinRL workflow using a stock-trading environment and a Dow 30 ticker universe. A command-line mode selects among training, testing, and trading paths. The example configures daily Yahoo Finance data, technical indicators,…

Machine learningEquitiesForexBacktesting
SuperMind

This post describes an equity screening recipe that ranks stocks by volume ratio, uses MACD to identify a purported rounded-bottom pattern, and limits the 10-day price gain to a stated range above zero and below 35. The intended logic is to find stocks with…

EquitiesTechnical indicatorsMomentumStatistics