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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
Binance API docs
45 dokumenter
Quantopian-forelesninger
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 stock screen combines a daily price-range condition, a dividend-yield threshold tied to 2019, and a weekly MACD condition above zero. The stated logic seeks shares with some recent price movement, a high historical dividend yield, and positive…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post presents a simple Chinese equity screen that selects stocks associated with the metaverse theme, with a positive return condition and a share price below a stated threshold. It describes the intended criteria in plain language and gives example…

AksjerKinesiske markederMomentumHistorisk testing
SuperMind

The document outlines a Chinese stock screen using three filters: a daily price-change measure greater than one percent, a listing age exceeding one year, and a closing price below 12 yuan. It presents the filters as a way to find active, established,…

Kinesiske markederAksjerTekniske indikatorerStatistikk
SuperMind

The document describes a Chinese equity screen that ranks stocks in the metaverse industry by the day’s auction value and keeps the top five, subject to a condition labeled as an emerging strong uptrend. It presents the trend condition as a way to identify…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

The proposed stock screen selects companies in the metaverse sector whose closing price is above its five-day moving average, then ranks candidates by opening-auction amount and keeps the top five. The document presents this as a way to combine a sector…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese equity screening proposal selects non-ST stocks before 10 a.m. using a range threshold, a five-session closing-high condition, and an external-to-internal trading volume ratio above 1.3. It presents the setup as a way to find active shares with…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This document outlines an A-share screen that combines membership in the metaverse theme, a share price above its 250-day moving average, and a revenue comparison requiring the 2021 figure to exceed the 2018 figure by a stated threshold. The theme identifies…

AksjerTekniske indikatorerTrendfølgende handelKinesiske markeder
SuperMind

This document describes a rule-based A-share stock screen combining a turnover-rate band of 3% to 12%, a newly formed KDJ golden cross, and a close between Bollinger Bands’ middle and upper lines. It frames turnover as a liquidity filter, the crossover as an…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document describes a simple Chinese A-share screen that selects stocks with turnover rates between 3% and 12%, excludes Beijing-listed shares, and requires a share price below a stated threshold. Its rationale is that the turnover band may identify…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This note describes a stock screening rule that selects companies listed after 2021 and showing a daily position increase above 5%. Its stated rationale is to look for recent capital inflows while excluding longer-listed stocks. The article gives a…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This A-share stock-selection idea filters for companies associated with the metaverse theme that appeared on the prior day's trading leaderboard, then ranks eligible names by the current day's auction value and selects the highest-ranked group. The article…

Kinesiske markederAksjerHendelsesdrevet handelOrdreutførelse
SuperMind

This A-share screening approach combines liquidity, a technical signal, and institutional trading activity. It selects stocks with market capitalization above 1 billion, turnover between 3% and 12%, a KDJ golden cross, and an institutional trading share…

AksjerTekniske indikatorerMomentum
SuperMind

This stock-screening note combines two technical conditions: at least five moving averages should converge, and the weekly MACD should be above zero. The author interprets moving average convergence as a sign of relatively stable price action and possible…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This Chinese-market stock screen combines three conditions: turnover between 3% and 12%, an opening price within 5% of the 10-day average closing price, and more than two limit-up days during the past 10 days. It is aimed at finding active stocks whose…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post proposes screening stocks that have at least two limit-up sessions within 500 days and five moving averages described as overlapping. It interprets the moving-average condition as a possible sign of nearby support and resistance, and repeated…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese-language post outlines an equity screening rule that combines MACD above zero with a candlestick-pattern condition and a company characteristic. It presents the combination as a way to identify stocks with upward trend potential, while warning…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This proposed A-share stock screen combines market activity, company size, profitability, and recent price action. It selects stocks with turnover between 3% and 12%, market capitalization below 10 billion yuan, positive income, and at least one limit-up…

AksjerMomentumKursbruddKinesiske markeder
SuperMind

This Chinese course listing outlines a study of A-share stocks that reach their daily upper price limit. Its stated sequence is to explain the limit-up mechanism, classify limit-up events, examine subsequent stock returns, and then apply a support vector…

AksjerMaskinlæringKursbrudd
SuperMind

This proposed stock screen combines amplitude above 1, institutional participation, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%. The final criteria specify institutional participation above…

AksjerKinesiske markederVolatilitetMomentum
SuperMind

This post proposes screening A-share stocks for turnover between 3% and 12%, market value below 10 billion yuan, scale above 200 million yuan, and no losses. It presents the screen as a way to combine trading activity, company size, and profitability, then…

AksjerKinesiske markederFaktorinvesteringHistorisk testing
SuperMind

This Chinese-language post describes an A-share stock screen combining three conditions: a 14-period RSI below 65, an outer-to-inner trading volume ratio above 1.3, and circulating market value between 5 billion and 10 billion yuan. It outlines a screening…

Kinesiske markederAksjerTekniske indikatorerMomentum