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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

BigQuant

The document contrasts selecting stocks by relative rank with selecting them by an absolute model score. A ranking method can always choose the highest-ranked names in a universe, even when their scores are weak. The proposed alternative sets a minimum score…

EquitiesMachine learningFactor investingBacktesting
Hummingbot docs

This proposal describes changes to Hummingbot Foundation governance for Epoch 6. It would organize connector votes into four groups: centralized exchanges, decentralized order-book exchanges, automated market makers, and blockchain networks. The proposal…

CryptoMarket making
SuperMind

This stock selection approach combines three price conditions: daily amplitude above 1, upward-diverging moving averages, and at least one limit-up event during the prior 25 trading days. It aims to find volatile stocks with recent strong price action and an…

EquitiesChina marketsMomentumTechnical indicators
ProRealCode

This ProRealTime indicator displays several Ichimoku-related events as histogram signals. It calculates Tenkan-sen and Kijun-sen from recent highs and lows, derives Senkou spans for the cloud, and marks short sequences where the two lines remain equal,…

Technical indicatorsTrend followingForex
SuperMind

This Chinese-language post outlines a short-term equity screen based on a large amplitude, a high same-day control reading, and a three-session limit-up sequence ending the previous day. It discusses adding filters for dividend yield relative to the market…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This Chinese-language post describes an equity screening rule that combines a positive MACD reading, upward alignment of short-term moving averages, and a rising weekly MACD histogram. It provides example indicator formulas and a basic screen based on MACD…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This short indicator description covers a chart tool that displays four semaphore-style signals based on money flow index (MFI) oscillators with different periods. It presents the signals as trend cues when oscillator readings enter user-defined overbought…

Technical indicatorsMomentumForex
MQL5 code base

This guide explains Bollinger Bands as a volatility measure and a possible source of overbought or oversold signals. It describes a middle line based on a moving average, commonly using 20 periods, with upper and lower bands set two standard deviations away.…

Technical indicatorsVolatilityMean reversionEquities
MQL5 code base

This indicator description presents GRFLeadingEdge as an alternative to Bollinger Bands intended to reduce delays associated with averaging. It says the method resembles a standard-deviation channel built by smoothing a straight line over a fixed number of…

Technical indicatorsStatistics
MQL5 code base

This short description explains an automated method for calculating price levels from the Average True Range (ATR). It sets a maximum level by adding ATR multiplied by a target parameter to the opening price, and a minimum level by subtracting the same…

Technical indicatorsVolatilityRisk managementPosition sizing
SuperMind

This proposed Chinese equity screen selects stocks whose daily high-low range exceeds 1%, that had at least one limit-up day in the preceding 25 trading days, and whose circulating market value exceeds 10 billion yuan. The article interprets the range…

EquitiesChina marketsVolatilityMomentum
MQL5 code base

This brief description concerns a version of Kaufman’s Adaptive Moving Average (AMA), an adaptive smoothing indicator used to follow price trends. It says the implementation modifies the smoothing ratio by raising it to a power, controlled by an external…

Technical indicatorsTrend following
SuperMind

This document explains MACD as a way to compare a short-term and a long-term exponential moving average of closing prices. Their difference, DIFF, is smoothed into a signal line called DEA; MACD is calculated from the gap between DIFF and DEA. The standard…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

The post outlines a stock screen combining three conditions: intraday high-low range relative to the open above 1%, a stated 2019 dividend-yield measure above 25%, and daily change from the open between -5% and 2.6%. It presents the conditions as a way to…

EquitiesTechnical indicatorsFactor investingBacktesting
BigQuant

This summary describes an analysis of actively managed equity funds and funds with substantial equity exposure. Its stated selection process combines historical return data with portfolio holdings, sector exposure, and risk considerations to identify funds…

EquitiesFactor investingPortfolio constructionRisk management
MQL5 code base

The document describes SuperTrend as a price-chart overlay that uses Average True Range (ATR) to adjust a trend line to market volatility. It presents crossings of price and the line as potential buy or sell signals, with changes in line color marking trend…

Technical indicatorsTrend followingVolatility
MQL5 code base

The Donchian Oscillator described here measures how far the closing price sits beyond a Donchian channel boundary. The channel is formed from the highest high and lowest low across a chosen lookback period. A close above the upper boundary produces a…

Technical indicatorsBreakout
SuperMind

This example presents a monthly Chinese equity strategy using constituents of the CSI 300 as its starting universe. It excludes suspended and specially treated stocks, then calculates several cumulative return measures over different lookback windows. For…

China marketsEquitiesMomentumFactor investing
MQL5 code base

The document describes a higher-timeframe signal display for the AFL_WinnerSign indicator. It shows whether the selected bar continues the current trend or marks a change in direction: continuation uses a horizontal arrow, while a changed trend uses a…

Technical indicatorsTrend following
MQL5 code base

This technical note explains how to add alert delivery to a MetaTrader indicator that already stores buy and sell signals in indicator buffers. It describes configurable inputs for selecting the signal bar, enabling sound, setting an alert count, and turning…

Technical indicatorsExecutionEquities
Binance API docs

This reference explains how to connect to Binance Spot Testnet market data streams, subscribe or unsubscribe during a session, query subscriptions, and interpret common request errors. It describes raw and combined stream formats, connection and message…

CryptoSpot marketsMarket microstructureExecution
SuperMind

This stock screen combines a metaverse industry classification with a price condition, a robotics concept flag, and a circulating market capitalization limit. The price condition requires the stock’s average price to be above its five-day moving average. The…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This research review examines whether predictable stock returns in particular months reflect changing risk or temporary mispricing. Its central test is seasonal reversal: if a stock earns unusually high returns in one calendar period because demand…

EquitiesStatisticsFactor investingMomentum