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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

16,761 documents

SuperMind

The strategy first switches between the CSI 300 and the ChiNext index based on the changing gap between their performance curves. It describes a widening gap as a signal to buy the stronger index and a narrowing gap as a signal to buy the weaker one, using a…

China marketsEquitiesTrend followingTechnical indicators
Lumibot strategies

This strategy maintains an equal-weight portfolio of Bitcoin and Ethereum using daily checks and monthly rebalancing. At each rebalance, it estimates target quantities from current portfolio value, divides value evenly between the two assets, and submits buy…

CryptoSpot marketsPortfolio constructionExecution
SuperMind

The document outlines a China A-share screening rule that combines daily price range, a newly formed KDJ crossover, and a proxy for institutional buying. Stocks enter a candidate pool when the high-to-low range exceeds 1%, the J line crosses above D, and…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The document reviews research on whether crowded mutual fund ownership predicts subsequent stock returns. It defines stock-level crowding as active mutual fund ownership divided by average share turnover, using lagged holdings and turnover data. Stocks are…

EquitiesFactor investingStatisticsBacktesting
BigQuant

This document describes the first BigQuant strategy development interest group, scheduled for May through July 2024. Its purpose is to help learners build strategy templates and demonstrations, reproduce common methods, and improve their implementation…

EquitiesFuturesOptionsMachine learning
MQL5 code base

This document describes an Expert Advisor that trades when the Go indicator changes color at a bar’s close. It opens a trade when the bars switch from red to green or green to red. The system relies on a compiled indicator file, and the article notes that a…

ForexTechnical indicatorsBacktesting
SuperMind

This proposed stock screen first restricts the universe to shares classified in the metaverse industry. It then looks for an opening price around the ten-day moving average and ranks qualifying shares by the day's auction amount, selecting the top five. The…

EquitiesTechnical indicatorsMarket microstructureBacktesting
SuperMind

This stock selection proposal combines an RSI threshold below 65 with a positive product of price change and a large-order net-flow measure, and requires the daily high-low range to exceed one percent of the previous close. It presents these filters as a way…

EquitiesTechnical indicatorsMomentumBacktesting
ProRealCode

This ProRealTime strategy targets an overnight rise in the FTSE MIB by entering long at 5:30 p.m. and exiting at 9:30 a.m. It adds two entry conditions: the 9:30 a.m. open must be below the previous daily close, and the 5:30 p.m. price must be at or below…

FuturesBacktestingTechnical indicators
Qlib

This configuration describes a Chinese equity forecasting experiment using Qlib’s Alpha158 features and an LSTM model. It selects 20 features, applies robust feature normalization and missing-value filling, and ranks labels cross-sectionally. The prediction…

Machine learningBacktestingEquitiesChina markets
BigQuant

This research summary tests whether industry returns left after removing common style exposures can help rank sectors for rotation. It reports a strong difference between markets: an alpha based on the Fama–French three-factor model works for US industries,…

EquitiesChina marketsUS marketsFactor investing
MQL5 code base

The document describes an automated trading system based on the BlauTStochI oscillator. It identifies two alternative entry approaches: trade when the oscillator histogram changes direction, or act when it crosses the zero line. An input setting selects the…

ForexTechnical indicatorsBacktestingExecution
BigQuant

This research describes a systematic trend-following strategy for commodity futures. It first uses MACD crossings, filtered by cumulative distance relative to ATR, to classify rising and falling trends. It then revises those classifications when price…

FuturesCommoditiesTrend followingTechnical indicators
ProRealCode

This document describes a long-or-short crossover strategy that searches pairings among 70 moving average and filter types for a chosen market and timeframe. The selected series use a common period, and an additional exponential smoothing step is intended to…

Technical indicatorsTrend followingMachine learningBacktesting
SuperMind

This post presents a Chinese stock-selection screen that filters for turnover between 3% and 12%, requires at least one limit-up event in the previous 25 days, and ranks candidates by the day’s opening-auction amount, selecting five. The accompanying…

China marketsEquitiesMomentumTechnical indicators
Hummingbot docs

This recap presents four trading scripts developed by participants in an educational program. The examples include a portfolio that rebalances equally across assets, spot–perpetual arbitrage that opens positions when the price spread exceeds a threshold and…

Portfolio constructionArbitrageMarket makingBacktesting
BigQuant

The document defines a price-based momentum factor as the 44-day average closing price divided by the current close, minus one. It compares two ways to analyze the factor: using a platform expression engine and supplying custom data. The stated test covers…

EquitiesMomentumFactor investingBacktesting
SuperMind

The document describes a stock screen combining turnover, industry classification, and the day’s lowest price move. It selects beverage and alcohol related companies with turnover between 3% and 12%, whose intraday low is between 4% and 5% below the previous…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This article describes a Chinese equity screening idea that combines a relative strength index threshold, membership in the beverage and alcohol import-export industry, and an upward-moving 30-day average. It then proposes a stricter version: require the…

EquitiesChina marketsTechnical indicatorsMomentum
FMZ forum

The article uses gambling and trading stories to explain why survival and capital preservation come before pursuing returns. Roulette illustrates how a small house edge compounds with repeated play, while blackjack card counting shows how a positive edge can…

Risk managementPosition sizingStatisticsVolatility
SuperMind

This stock screen combines three technical conditions: amplitude greater than 1, a positive weekly MACD histogram, and MACD above zero. The article frames the range and weekly histogram conditions as signs of stronger price action, while the zero-line…

EquitiesTechnical indicatorsMomentumBacktesting
Cryptohopper blog

This article presents ten general practices for developing a disciplined crypto trading process. It recommends starting with simulated trading, moving to small live positions, setting measurable progression goals, and backtesting strategies before…

CryptoRisk managementPosition sizingBacktesting
FMZ forum

This Chinese-language forum post asks how to interpret floating profit and loss, period profit and loss, and capital utilization in a backtest chart. It supplies a dated sample table showing those fields alongside trade volume and long and short positions.…

BacktestingRisk managementPosition sizing
MQL5 code base

This Expert Advisor follows the HullTrend indicator and generates a signal when a completed bar changes the indicator cloud’s color. The description presents this as a trend-following rule and identifies USDJPY on a four-hour chart as the setting used for a…

ForexTrend followingTechnical indicatorsBacktesting