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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

12,140 documents

BigQuant

This review summarizes research on whether anchoring to a stock’s 52-week high helps explain why prices respond slowly to news about economically connected firms. Its central hypothesis is that investors underreact to good news about a customer when a…

EquitiesMomentumFactor investing
SuperMind

This Chinese stock screen looks for shares with daily amplitude of at least 1%, turnover above 2% and no higher than 9%, and at least one session with a gain of 10% or more during the prior 25 trading days. The selection combines a volatility measure,…

China marketsEquitiesVolatilityMomentum
SuperMind

This note proposes screening A-shares using three conditions: a 14-period RSI below 65, an outer-to-inner volume ratio of at least 1.3, and prior-day turnover above 8%. Its sample formula and Python example outline how those conditions might be applied. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes an A-share screening rule combining a 14-period RSI below 65 with an outer-to-inner volume ratio above 1.3, while excluding the STAR Market. The article presents these conditions as a way to combine a technical indicator with…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post proposes a stock-selection screen that combines a daily high-low range threshold, a calendar-year filter for 2021, and a condition intended to identify an increase in trading volume. Stocks passing the conditions enter a candidate pool. The article…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes a mainland China stock screen combining four conditions: RSI below 65, a daily gain above 1%, main-board listing, and a current-day low below the prior day’s low. It frames the combination as a way to find shares with…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This proposed stock screen selects shares with a daily high-low range above a stated threshold, a closing price above the five-day moving average, and a specified industry exclusion. The post’s explanation treats larger price ranges as potential…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed daily stock screen selects shares with MACD above its zero line, ranks candidates by market attention, and keeps companies whose revenue in 2021 was more than 1.1 times revenue in 2018. It describes MACD as a short-term trend measure, stock…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese stock selection note describes a technical screen requiring daily amplitude above 1%, a maximum daily decline between 4% and 5%, and a weekly five-period moving average crossing above the ten-period average. It presents the weekly crossover as a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese stock selection note describes a screen combining daily price movement with a weekly moving average signal. It selects stocks whose intraday high-to-low range exceeds 1%, whose weekly five-period moving average crosses above the ten-period…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed stock screen combines three filters: MACD above its zero line, a ratio of external to internal trading volume above a stated threshold, and a dividend payout measure above a stated level for 2019. The accompanying discussion treats MACD as a…

EquitiesTechnical indicatorsMomentumFactor investing
MQL5 code base

This document describes a software class for calculating the Momentum indicator with a ring buffer. It provides methods to initialize the indicator, process a full input array, or update the calculation from individual values. The class also exposes the…

Technical indicatorsMomentum
SuperMind

This document presents a Chinese stock screen built around three conditions: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a fund-strength measure ranked from high to low. Its rationale is to…

EquitiesChina marketsMomentumSentiment
SuperMind

This stock-selection rule screens companies in the metaverse sector for a limit-up day within the previous 25 days and a current-day decline between 4% and 5%. It proposes running the screen before 10 a.m. The accompanying Python example filters a daily data…

EquitiesChina marketsMomentumRisk management
SuperMind

This note describes a Chinese equity screen requiring RSI below 65, positive afternoon large-order net inflow, and strong performance since 2021, with the stated final rule focusing on stocks in the top decile for both net inflows and cumulative gains. The…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equities screen combines three conditions: daily amplitude above 1, at least one limit-up event within the previous 25 days, and price lying within a stated tolerance of five moving averages based on different lookback periods. The article…

EquitiesVolatilityTechnical indicatorsMomentum
BigQuant

This strategy selects stocks that open above the previous close and have a five-day closing-price average above the ten-day average. Among qualifying stocks, it ranks by price-to-earnings ratio in ascending order and chooses the first ten; purchases are…

EquitiesMomentumTechnical indicatorsBacktesting
SuperMind

This document outlines a Chinese A-share screen that looks for stocks with MACD above zero, ranks candidates by individual stock popularity, and limits the 9:25 a.m. price increase to less than 6%. It presents the approach as a way to combine a positive…

EquitiesChina marketsMomentumTechnical indicators
Lumibot

This strategy uses a research agent to rank leveraged ETFs from recent prices and trends, then has bull and bear agents assess the same research. A judge and trading agent selects a side for each index, allocates the account among chosen funds, and revisits…

EquitiesMomentumMachine learningBacktesting
SuperMind

This A-share screen narrows a metaverse-sector universe to stocks with relative volume above 1.5 and below 6, a closing price above the five-day moving average, and the five-day average above the 20-day average. The volume band is intended to identify active…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This A-share screening idea combines investor-position growth above 5%, seven consecutive declining sessions, and at least two limit-up events within the prior 500 days. The rationale is to look for buying interest in stocks that have a history of sharp…

EquitiesChina marketsMomentumRisk management
MQL5 code base

This document describes a simple arrow-style indicator that generates alerts when the Relative Vigor Index crosses its signal line. Alerts are available on the newest closed bar, and the indicator can send signals by email or as push notifications to a…

Technical indicatorsMomentum
SuperMind

This stock-selection rule combines three conditions: RSI below 65, a shrinking green histogram bar on the 15-minute MACD, and a price rise below 6% at 9:25. The resulting stocks form a candidate pool. The document presents RSI and MACD as technical filters…

EquitiesTechnical indicatorsMomentum
MQL5 code base

This document describes a custom MACD indicator that displays the MACD line, signal line, and histogram together in a separate chart window. It distinguishes the display from a common MetaTrader 5 presentation that may show only a histogram. The histogram is…

Technical indicatorsMomentum