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
TqSdk
86 dokumenter
Quantpedia
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

The document describes a Chinese equity screen that combines membership in the metaverse theme with price and limit-down conditions. Its stated selection logic uses a long moving-average comparison and a prior-day 9:15 matching-price limit-down signal; a…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This Chinese equity screen selects stocks with a daily trading range above 1%, a ten-day price gain above zero but below 35%, and no limit-up close on the previous day. The stated rationale is to find shares showing some recent movement and positive momentum…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

This stock-selection idea screens for Chinese companies associated with robotics, with turnover between 3% and 12%, circulating market capitalization below 10 billion yuan, and a pattern of rising lows. The post presents the criteria as a way to combine…

AksjerKinesiske markederTekniske indikatorerPosisjonsstørrelse
SuperMind

This Chinese equity screening proposal selects stocks with turnover between 3% and 12%, at least one limit-up move during the previous 25 days, and a positive weekly histogram condition. The accompanying explanation treats turnover as a measure of trading…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This document describes a short-term Chinese stock screen combining a metaverse industry classification, a rounded or arc-shaped chart pattern, and a requirement that the stock was not limit-up on the prior day. It adds a minimum listing history of six…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This proposed Chinese equity screen targets stocks classified in the metaverse industry. It requires a volume ratio above 1.5 and below 6, and an external-to-internal trading volume ratio above 1.3. The article characterizes external volume as trades…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This stock-screening post combines three technical conditions: price amplitude above 1%, at least five overlapping moving averages, and a rising 30-day moving average. It presents average convergence as a way to identify relatively stable prices and the…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This Chinese stock-screening post proposes combining a market-cap ceiling of 10 billion yuan with positive profitability, at least five overlapping moving averages, and prior-day turnover above 8%. The rationale is that converging averages indicate…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

The proposed Chinese equity screen combines intraday price amplitude, pre-open auction price movement and large-order buying with a historical dividend-ratio filter. It describes selecting candidates during the ten minutes before the open, excluding limit-up…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This stock-selection approach combines a price-range condition with persistent positive large-order net flow and company classifications. Its stated rule seeks stocks with amplitude above 1, large-order net flow above 0.05 for at least three consecutive…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This stock-selection rule screens Chinese A-shares using current turnover, the sign of the product of daily price change and large-order net flow, and the prior day's actual turnover. The stated core conditions are current turnover between 3% and 12%, a…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This stock screen selects shares based on the convergence of multiple moving averages, a minimum scale requirement, and an upward trend in the 30-day average. The article's proposed final version tightens the conditions to at least ten converging averages, a…

AksjerKinesiske markederTekniske indikatorerTrendfølgende handel
SuperMind

This stock-selection approach combines a reported buying-activity measure with valuation limits and an upward-sloping 30-day average. It targets Shenzhen main-board shares whose price-to-earnings and price-to-book ratios fall within stated ranges. The…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This note presents an A-share stock selection rule that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and positive large-order net inflow in the afternoon. The author frames these conditions as proxies for liquidity, a possible…

AksjerTekniske indikatorerMomentumMarkedssentiment
SuperMind

This note describes an A-share stock screen combining three conditions: price amplitude above 1, a rounded or arc-like price pattern, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%. It…

AksjerTekniske indikatorerFaktorinvesteringKinesiske markeder
SuperMind

The document presents a Chinese equity screen combining daily price behavior with company characteristics. Its initial conditions select robot-themed stocks with circulating market capitalization below the stated threshold, daily amplitude above 1%, and a…

AksjerTekniske indikatorerKinesiske markederRisikostyring
SuperMind

This post presents a technical stock screen that selects shares with amplitude above 1, prior-day actual turnover between 3% and 28%, and an upward-trending 30-day moving average. It frames the conditions as a combination of price movement, market…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The post describes a stock screen requiring price amplitude above 1, current volume above 10,000 lots, an opening above the prior close, and a specified daily decline between 4% and 5%. Its rationale is to find active, liquid stocks that open positively…

AksjerKinesiske markederTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This post outlines a Chinese A-share stock screen combining three conditions: rank stocks among the top 100 by volume ratio, look for a Bollinger Band pattern described as contraction or expansion, and require at least two limit-up sessions within ten days.…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This stock-selection rule combines a 14-period RSI below 65, year-over-year growth in net profit attributable to shareholders between 20% and 100%, positive net profit, and a share price below 18.5 yuan. The post presents the screen as a way to find Chinese…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

The document describes a stock screen combining daily price amplitude above 1%, the year 2021, and three consecutive declines in closing prices. It frames the amplitude condition as a way to find more volatile stocks and the consecutive declines as a…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This daily stock screen selects shares whose MACD histogram is above zero and whose 30-day moving average is rising, then ranks qualifying shares by a measure of market attention. The document explains MACD using standard exponential averages and includes a…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese A-share screening method combines turnover, circulating market capitalization, rising moving averages, and price above several moving-average levels. Its stated final criteria cap turnover at 12%, restrict circulating market value to a specified…

AksjerKinesiske markederTekniske indikatorerHistorisk testing
SuperMind

This proposed A-share screen selects stocks whose intraday range exceeds 1, whose price is above its five-day moving average, whose current volume exceeds 10,000 lots, and whose opening price is above the prior close. The article presents the range and…

AksjerKinesiske markederMomentumTekniske indikatorer