Hopp til innhold

Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
Quantpedia
86 dokumenter
TqSdk
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Quantopian-forelesninger
45 dokumenter
Binance API docs
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

SuperMind

This post proposes screening Shenzhen main-board stocks for daily price amplitude above one percent, a newly formed KDJ golden cross, and specified price-to-earnings and price-to-book ranges. It describes the crossover as a possible sign of improving…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This post outlines a Chinese equity screen that ranks stocks by funding strength, looks for a weekly five-period moving average crossing above a ten-period average, and filters for an opening gain below six percent at 9:25. The proposed rationale is to…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese stock-selection post proposes screening metaverse-related shares for positive institutional movement and a prior-day price pattern described as main-force control. It presents the conditions as a way to focus on a specific industry, follow…

AksjerKinesiske markederMarkedssentimentRisikostyring
SuperMind

This stock-screening proposal looks for shares with an amplitude measure above 1, three technical indicators said to have bullish crosses, and three consecutive declining closes. Its sample Python logic approximates the multiple-cross condition with the 5-,…

AksjerTekniske indikatorerMomentumHistorisk testing
SuperMind

This Chinese A-share screening proposal combines a technical condition with earnings growth and a concentration filter. It selects stocks with a 14-period RSI below 65, year-over-year net-profit growth above 20% and no more than 100%, and a stated…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This document describes a stock-selection rule that combines a daily high-low range threshold, a recent reversal pattern, and a negative MACD reading from two sessions earlier. It frames range as a volatility filter, the reversal as a possible change in…

AksjerTekniske indikatorerVolatilitetHistorisk testing
SuperMind

This proposed A-share screen targets metaverse-related stocks with a circulating share count no greater than 5.5 billion and an upward-spreading set of moving averages. The article’s example rules add price, volume, and return conditions: price is…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This stock selection rule screens for companies with market value below 10 billion yuan, positive profit history, turnover between 3% and 12%, and a 14-period RSI below 65. It combines a size filter and profitability condition with activity and…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This post proposes a technical stock screen combining price amplitude above a threshold, progressively rising lows, and a volume ratio between stated bounds. It describes the rising floor as a sign of improving price structure and uses relative volume to…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This community exchange explains how to use data downloaded with Supermind’s data ingestion command. A reply says the downloaded data can be accessed through the platform’s get_price function, without specifying the on-disk file format or a separate…

Historisk testing
SuperMind

This Chinese-language post outlines an A-share stock screen combining daily price range, relative trading volume, and recent return. It selects stocks with a daily high–low range of at least one percent, volume between 1.5 and 6 times its five-day average,…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The document outlines an equity screen that selects stocks with turnover between 3% and 12%, a rising KDJ K line, and MACD above its zero line. It describes the rising KDJ reading and positive MACD as indicators of upward price momentum, and provides both a…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This Chinese equity screen first restricts the universe to metaverse-related companies that are not marked ST and have circulating share capital at or below 5.5 billion shares. It then applies a so-called five-level limit-up method, with selection intended…

Kinesiske markederAksjerMomentumKursbrudd
SuperMind

This stock-selection idea combines three filters: price amplitude above one percent, appearance on the prior day's notable-trading list with reported buying exceeding selling, and turnover between three and twelve percent. The article presents the filters as…

Kinesiske markederAksjerTekniske indikatorerMarkedsmikrostruktur
SuperMind

The document proposes screening Chinese stocks for amplitude above 1%, an aligned set of three moving averages, and a 2021-to-2018 revenue ratio above 1.1. It presents the moving-average condition as a technical signal and the revenue comparison as a basic…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document describes a Chinese A-share stock screen that excludes Beijing-listed shares, requires daily high-low amplitude above 1%, and selects stocks with at least one daily gain of 10% or more in the previous 25 trading days. It outlines the rationale…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

The post describes a simple equity-universe filter: identify stocks associated with the metaverse theme, require a circulating market value above 10 billion yuan, and retain codes beginning with 60. It presents these conditions as a way to narrow the…

AksjerKinesiske markederFaktorinvestering
SuperMind

This stock screen combines three technical conditions: daily price amplitude of at least one percent, turnover above two percent and no greater than nine percent, and a pattern of rising lows. The accompanying explanation interprets the combination as…

AksjerTekniske indikatorerVolatilitetRisikostyring
SuperMind

This Chinese equity screen looks for companies with market capitalization below 10 billion yuan and nonnegative net profit attributable to parent-company shareholders for 2021. The article presents the size limit as a way to focus on smaller firms that may…

AksjerFaktorinvesteringKinesiske markeder
SuperMind

This Chinese equity screen selects companies associated with the metaverse theme when prior-day actual turnover is between 3% and 28% and both weekly MACD lines, DIFF and DEA, are above zero. The article treats the turnover range as a sign of market…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This Chinese equity screening rule combines a 14-period RSI below 65, prior-day auction turnover above 0.26, and a 9:25 price gain below 6%. The article describes RSI as a gauge of overbought or oversold conditions, auction turnover as a measure of trading…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

The document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, positive 10-day gains below 35%, and a rising 30-day moving average. It presents the conditions as a way to combine trading activity with short-term…

AksjerMomentumTekniske indikatorerKinesiske markeder
SuperMind

The post describes a Chinese A-share screening rule that combines a daily price-range threshold, at least one limit-up event in the prior 25 trading days, and return on equity above 15% for five consecutive years. It presents the conditions as a way to find…

AksjerKinesiske markederVolatilitetMomentum