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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

SuperMind

This post describes a short-term Chinese equity screen that selects shares with turnover between 3% and 12%, a prior-day appearance on the market’s broker-reported active-stock list, and a closing price of 18.5 yuan. It suggests ranking qualifying stocks by…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

This note outlines a Chinese equity screen for stocks associated with the metaverse theme. It selects names with a positive institutional-flow indicator and previous-day turnover above 60 million. The stated rationale is that thematic exposure may identify…

EquitiesChina marketsSentimentRisk management
SuperMind

This note describes a Chinese stock selection screen combining three filters: prior-day price amplitude above 1%, appearance on the previous day’s 龙虎榜 list, and substantial large or extra-large buying during the auction. The stated threshold for combined…

EquitiesChina marketsVolatilitySentiment
SuperMind

This post describes a daily stock screen that combines three conditions: price amplitude above a threshold, a change in institutional participation between today and the prior day, and turnover within a specified band. It frames amplitude as a measure of…

EquitiesTechnical indicatorsSentimentRisk management
SuperMind

This article describes a screen for metaverse-related stocks with prior-day actual turnover between 3% and 28% and a positive current-day move. It characterizes the positive move as a reversal or relative-strength condition and gives corresponding indicator…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening article combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and a candlestick pattern described as a morning star. It presents turnover and recent limit-ups as signs of trading interest,…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post describes a Chinese stock selection screen combining daily amplitude above one, positive institutional flow, and a ratio formed from prior turnover and the current auction volume relative to prior volume. It gives the intended ratio range as 0.5 to…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This Chinese-language post describes a stock selection screen for companies in the metaverse theme. It combines three conditions: membership in that concept group, positive net buying attributed to major participants during the opening auction, and…

EquitiesChina marketsEvent-drivenSentiment
SuperMind

This Chinese-language post describes a stock selection rule that filters for RSI below 65 and three consecutive declining sessions, then ranks candidates by stock heat. Its stated aim is to combine a technical condition with a measure of market attention.…

EquitiesTechnical indicatorsSentiment
SuperMind

This proposed stock screen selects companies associated with the metaverse theme, with RSI below 65 and floating market capitalization between 5 billion and 10 billion. The post frames RSI as a short-term overbought or oversold measure, market capitalization…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

The article describes a short-term Chinese equity screen combining three signals: daily turnover between 3% and 12%, appearance on the previous day’s trading list, and a high ranking for net large-order flow. Its rationale is to find actively traded stocks…

EquitiesMomentumSentimentTechnical indicators
Cryptohopper blog

This article explains fear of missing out as a psychological response to treating a missed trade as a threat to trading success. It argues that this threat perception can encourage impulsive decisions, especially chasing a rapidly rising coin and buying…

CryptoSentimentRisk management
SuperMind

This document describes a Chinese equity screen combining four conditions: daily amplitude above 1%, membership in a robotics concept group, circulating market capitalization below 10 billion yuan, and positive net buying attributed to major participants…

EquitiesChina marketsTechnical indicatorsSentiment
Amberdata research

This weekly market note links Bitcoin’s rally to macro developments including rising bond yields, war-related spending concerns, gold strength, and optimism about a Bitcoin ETF and the Ripple lawsuit. It reviews Bitcoin options term structure, put skew,…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This proposed A-share screen combines three kinds of signals: RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%, and positive large-order net inflow during the afternoon. The article…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This post describes a stock screen that selects shares with a ten-day return above zero and below 35%, a daily trading range above 1%, and ranks candidates by individual-stock attention. Its accompanying examples add a code-prefix filter for shares beginning…

EquitiesMomentumTechnical indicatorsSentiment
SuperMind

This Chinese A-share screening proposal selects stocks with more than two limit-up sessions in the prior ten days and an RSI below 65, then orders candidates by a proxy for stock popularity based on recent trading volume. It combines a recent price-momentum…

EquitiesMomentumTechnical indicatorsSentiment
SuperMind

This document describes a thematic Chinese equity screen for metaverse-related stocks. It combines positive institutional-flow readings with large-order net volume above 0.05 for at least three consecutive days. The intended rationale is to identify stocks…

EquitiesChina marketsSentimentMarket microstructure
SuperMind

This stock-selection approach targets companies associated with the metaverse and then filters for positive institutional-flow readings and a signal interpreted as institutional buying near a low. The article frames these conditions as a way to find smaller,…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

This Chinese-language post describes a daily pre-open stock screen that selects equities with MACD above its zero line, ranks them by popularity, and excludes stocks that closed at the upper price limit the previous day. Its rationale combines a trend filter…

EquitiesTechnical indicatorsMomentumSentiment
Lumibot

This example describes a watchlist strategy that uses public SEC Form 4 filings to adjust portfolio weights. A research agent retrieves recent filings and keeps open-market purchases and discretionary open-market sales, while excluding grants, gifts, option…

EquitiesEvent-drivenSentimentPortfolio construction
SuperMind

The document describes a Chinese equity screen combining four conditions: a 14-period RSI below 65, displayed bid volume greater than ask volume, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. The…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This stock-selection idea targets Chinese equities classified in the metaverse industry. It selects stocks that recorded at least one limit-up event during the prior 25 days while excluding stocks that hit limit-up the previous day. The rationale is to…

EquitiesChina marketsMomentumSentiment