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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
WonderTrader
14 dokumenter
Alphalens
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 article introduces unsupervised clustering and contrasts it with supervised classification: cluster labels are not known in advance, so judging whether a grouping is correct is difficult. The goal is to group observations so that members of each cluster…

MaskinlæringStatistikkAksjerKinesiske markeder
SuperMind

This A-share screening idea combines daily price amplitude above a threshold, a positive weekly MACD condition, positive institutional capital flow, and a market-capitalization filter. The article describes weekly MACD as a way to capture price direction and…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This Chinese-language article describes a stock selection screen combining turnover, earnings growth, and recent price weakness. It looks for shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
SuperMind

This Chinese-language document presents a screening rule for mainland Chinese A-shares. It selects stocks with a daily high-low range exceeding one percent of the high, a nonempty name for an outstanding convertible bond, and a stock code beginning with 60.…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This Chinese equity screen combines three conditions: daily price amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and a positive product of price change and a large-order volume measure. The stated rationale is…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This stock screen combines a 14-period RSI threshold with an industry filter for beverage and alcohol import-export businesses and a ticker-prefix restriction to stocks beginning with 60. The document presents the criteria as a way to narrow a Chinese equity…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This article proposes a Chinese stock screen requiring price amplitude above 1, three technical indicators to produce bullish crosses, and an opening auction return between −2% and 5%. It frames the opening move as an additional filter on stocks selected by…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The post describes a proposed A-share screen combining at least five overlapping moving averages with a positive but limited ten-day price gain during 2021. Its stated rationale is to find stocks with relatively aligned averages and room for further…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock selection rule combines three filters: a reported measure of buying activity above 5%, the previous close above the 250-day moving average, and a market capitalization no greater than 10 billion yuan for companies without losses. The document…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The document proposes selecting listed Chinese main-board stocks that have turnover between 3% and 12%, belong to the robotics theme, and have circulating market value below 10 billion yuan. Within that group, it seeks stocks with evidence of institutional…

AksjerKinesiske markederFaktorinvesteringRisikostyring
SuperMind

The document describes a Chinese equity screen combining three conditions: turnover between 3% and 12%, bid-side first-level volume greater than ask-side volume, and an association with the metaverse concept. It presents the conditions as a way to focus on…

AksjerMarkedsmikrostrukturKinesiske markeder
SuperMind

The document proposes a short-term stock screen using four conditions: amplitude above 1, current volume above 10,000 lots, an opening price above the prior close, and an outside-to-inside volume ratio above 1.3. It frames range and volume as ways to find…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document describes a stock screen that combines daily amplitude above 1, a listing history longer than one year, and more than two limit-up events in a ten-day window. The rationale is that amplitude may indicate activity, while an established listing…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This post proposes screening stocks for a large daily trading range, a recent multi-session limit-up streak, and falling closing prices across the preceding trading days. It frames the rule as a technical screen for volatile stocks whose recent price action…

AksjerMomentumTekniske indikatorerRisikostyring
SuperMind

This post outlines an equity screening rule that ranks stocks by capital-flow strength, favors a short moving average above a longer one, and requires repeated limit-up sessions within a recent window. It presents turnover and volume ratio as possible ways…

AksjerMomentumTekniske indikatorerHistorisk testing
SuperMind

This note describes an A-share stock screen combining price amplitude above 1, a KDJ reading below 20, and a reversal candle pattern. The accompanying explanation treats the filters as a way to find volatile stocks that may be turning upward. It suggests…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

This project overview describes a high-frequency backtesting framework built around tick-level market replay. It reconstructs order books from Level-2 or Level-3 data and models feed and order latency, along with the trader’s queue position, to make…

HøyfrekvenshandelHistorisk testingMarkedsmikrostrukturOrdreutførelse
SuperMind

This note presents a Chinese A-share screening rule using price amplitude above 1, a KDJ reading below 20, and exclusion of Beijing-listed shares. It interprets the filters as seeking volatile stocks with a low oscillator reading, then suggests adding market…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

This Chinese-language article outlines an equity screen using RSI below 65, circulating market value between 5 billion and 10 billion yuan, and exclusion of stocks that hit the daily price limit on the previous session. Its final stated selection logic also…

AksjerTekniske indikatorerMomentum
SuperMind

The document describes a Chinese equity screen that selects stocks with an amplitude above 1, an appearance on the previous day’s trading leaderboard, and at least one limit-up event during the prior 25 trading days. It interprets these conditions as proxies…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

The document describes a Chinese equity screen that combines a daily range filter, a stock-code prefix, and a three-bar low-price pattern. It selects stocks whose high-to-low range exceeds one percent of the open, whose code begins with 60, and whose recent…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

The post outlines an equity-screening approach for stocks in the metaverse industry. It combines simultaneous bullish crossovers from three technical indicators with a condition intended to identify a short-term improvement in the 15-minute MACD histogram.…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This proposed Chinese stock screen combines membership in a metaverse sector with a price-change cap of less than 6% and a rising DEA condition. The document gives formula references based on the 12- and 26-period exponential moving averages and a further…

AksjerKinesiske markederTekniske indikatorerMomentum