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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

4,510 documents

MQL5 articles

The article describes turning a multi-timeframe sentiment indicator into an Expert Advisor. Its framework classifies conditions as bullish, bearish, risk-on, risk-off, or neutral using higher-timeframe direction and lower-timeframe price structure, moving…

SentimentForexTechnical indicatorsRisk management
MQL5 articles

This article shows how to build a custom news feed for MetaTrader 5 by retrieving headlines and source metadata from a web news API. It explains how source requests can be filtered by category, language, or country, and how article requests select a source…

Event-drivenSentimentExecution
MQL5 articles

The article describes a proposed MetaTrader 5 strategy that combines a deep learning model’s next-close predictions with sentiment scores derived from news headlines and descriptions. In the backtest, a position is taken only when the direction implied by…

CryptoSentimentMachine learningBacktesting
MQL5 articles

The article introduces FinAgent, a proposed market analysis agent that combines text and visual information with historical memory, reflection, and trading tools. Its five-part design covers market analysis, retrieval from memory, short- and long-horizon…

Machine learningSentimentTechnical indicatorsBacktesting
MQL5 articles

The article outlines a trading bot that connects an MT5 Expert Advisor to a Python server over a socket. The EA sends a symbol and Twitter API credentials, requests sentiment data at regular intervals, and receives a sentiment value. The described trading…

SentimentMachine learningExecution
MQL5 articles

This document introduces the CFTC’s Commitments of Traders and Traders in Financial Futures reports as sources of aggregated futures positioning. It describes commercial hedgers, non-commercial speculators, and smaller traders, and explains how TFF breaks…

FuturesSentimentMachine learningStatistics
MQL5 articles

This document describes an MQL5 chart script that summarizes the previous trading day’s open, close, high, low, and volume, alongside current-day volume. It draws horizontal lines at the prior-day high and low and places the values and brief market…

Technical indicatorsSentiment
MQL5 articles

The article presents a Sentiment Tilt Meter that turns recent candle behavior into a smoothed score from negative to positive, combining configurable timeframes into one view. Its candle-level inputs include body size relative to range, close location within…

SentimentTechnical indicatorsStatisticsMulti-asset
MQL5 articles

This article extends an MQL5 footprint chart with an information box above each candle. The box summarizes bar-level net delta, total volume, and the buy and sell shares, with color intensity mapped to delta strength. The implementation caches these values…

SentimentMarket microstructureTechnical indicators
MQL5 articles

This article outlines a social decision support system in which a MetaTrader 5 Expert Advisor sends trading signals to a web application, which stores them and publishes them on Twitter. The proposed workflow leaves a person to review algorithmic signals…

ForexSentimentExecution
MQL5 articles

The article explains how to build a MetaTrader indicator and reusable data interface for analyzing Commitments of Traders reports from Commission-provided CSV files. It distinguishes Legacy, Supplemental Commodity Index, and Disaggregated reports, describing…

FuturesCommoditiesSentimentStatistics
MQL5 articles

The article outlines a workflow for adding AI-generated commentary to an MQL5 news headline Expert Advisor. It describes downloading a quantized language model, running it locally through a Python inference service, and having the EA send prompts to a web…

Machine learningForexSentimentExecution
BigQuant

This article describes three sources of perceived information advantages for quantitative funds: alternative data such as satellite imagery, online sales and shipping activity; automated monitoring of retail investor discussion and sentiment; and rapid…

EquitiesMachine learningSentimentExecution
Amberdata research

This weekly market commentary reviews Bitcoin and Ether derivatives through realized and implied volatility, volatility term structure, skew, and relative value. It reports realized volatility in the 40s while implied volatility declined toward it, reducing…

CryptoOptionsVolatilityDerivatives pricing
BigQuant

This research review presents a model in which active fund managers trade more when they see greater profit opportunities, then examines whether turnover predicts later benchmark-adjusted performance. Evidence from a historical sample of US active equity…

EquitiesStatisticsMarket microstructureSentiment
SuperMind

This post describes an equity screening rule that combines a 14-period RSI below 65, greater bid-side than ask-side volume, and at least one daily gain of 10% or more within the previous 25 trading days. The author interprets RSI as a measure of price…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This stock-screening idea selects companies associated with the metaverse theme when two conditions are met: positive net buying by major participants during the opening auction and a weekly MACD reading above zero. The logic combines a thematic universe…

EquitiesMomentumTechnical indicatorsSentiment
SuperMind

This article describes a Chinese A-share stock screen combining a relative strength index below 65, an external-to-internal trade ratio above 1.3, and a negative MACD reading from two sessions earlier. It interprets the RSI condition as avoiding overbought…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese-language post describes a stock selection screen combining price amplitude above 1, positive large-order net volume for more than three consecutive days, and a positive weekly histogram. The accompanying explanation treats the weekly signal as a…

EquitiesTechnical indicatorsSentimentMomentum
BigQuant

The article argues that two features of China’s A-share market may hinder a durable, gradual bull market: quantitative trading and what it calls excessive corporate financing. It attributes the impact of quantitative strategies to their technological and…

China marketsEquitiesMarket microstructureSentiment
Amberdata research

This report installment reviews Bitcoin ownership and activity through on-chain measures, including the Gini coefficient, address and supply distributions, coin liveliness, HODL measures, UTXO age buckets, miner flows, and ETF allocations. It describes a…

CryptoOn-chain dataStatisticsVolatility
SuperMind

This document proposes screening Chinese metaverse-sector stocks for a MACD crossover, excluding stocks marked ST, and selecting those described as having a five-board limit-up sequence. It frames the combination as a way to capture technical strength…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed Chinese equity screen combines three filters: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a positive price-to-earnings ratio from the most recent quarter end. The article…

EquitiesChina marketsSentimentMarket microstructure