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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-selection proposal combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and a close above the middle Bollinger Band but below its upper band. The article…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This stock screen combines three conditions: prior-day price amplitude above a threshold, the current open near the 10-day moving average, and membership in the metaverse theme. The article interprets the range condition as a sign of elevated short-term…

Kinesiske markederAksjerTekniske indikatorerVolatilitet
SuperMind

This document presents a China A-share screen centered on turnover between 3% and 12%, a seven-day declining-price condition, current volume above 10,000 lots, and an opening price above the previous close. Its final proposed version adds market…

Kinesiske markederAksjerTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This document describes a stock screen combining turnover, parent-company net profit growth, and a moving-average trend filter. It selects shares with turnover between 3% and 12%, year-over-year net profit growth above 20% and at most 100%, and a 20-day…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This Chinese-language post proposes screening stocks using three conditions: a large daily price range, prior-day turnover within a specified band, and a reversal candle pattern. It presents the combination as a way to find stocks with substantial price…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetKinesiske markeder
SuperMind

The document proposes selecting stocks with amplitude above 1, a share price of 18.5 yuan, and company size above 200 million. It frames the screen as a way to find active stocks with meaningful scale, then acknowledges that size alone cannot assess…

AksjerVolatilitetTekniske indikatorerRisikostyring
SuperMind

The article proposes a short-term equity screen based on amplitude above 1, three consecutive prior daily gains that are not limit-up moves, and large-order net inflow during the afternoon. It interprets amplitude as a sign of an active security and…

AksjerMomentumVolatilitetMarkedsmikrostruktur
SuperMind

The document describes an equity screen requiring price amplitude above 1, return on equity above 15% for five consecutive years, and more than three years since listing. It presents these conditions as a way to combine active trading with a record of…

AksjerFaktorinvesteringVolatilitetRisikostyring
SuperMind

The article presents a notebook-based workflow for quantitative research: obtain exchange candlestick history through an API, store and inspect it with pandas, plot price and trade-flow measures, and build a Python backtest for multiple spot or perpetual…

KryptoEvigvarende futuresHistorisk testingStatistikk
SuperMind

The article describes a short-term A-share screening rule combining three conditions: prior-session price amplitude above 1%, circulating shares no greater than 5.5 billion, and a stock code beginning with 60. Its sample implementation intersects these…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This strategy uses a market regime filter built from momentum across 11 sector and style ETFs. It measures each ETF against a 25-day moving average and treats the broad market as showing momentum when at least six ETFs qualify. The portfolio buys small-cap…

AksjerKinesiske markederMomentumTrendfølgende handel
SuperMind

This short-term A-share screen focuses on stocks classified in the metaverse theme. It seeks names with an opening gain below 6% and a current high equal to the highest high across two days, combining a thematic universe with a near-term price strength…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This A-share stock screen combines a range expansion condition, a Bollinger Band location filter, and a historical dividend ratio threshold. It selects stocks whose daily high-low range exceeds its 20-day average, whose close lies between the middle and…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

The document describes a daily stock screen for Chinese main-board shares. It selects non-ST stocks with turnover between 3% and 12%, a daily gain above 1%, and more than one year since listing. The stated rationale is to combine active trading and positive…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This stock-selection rule combines a 14-period RSI below 65, positive daily return, and year-over-year growth in net profit attributable to parent shareholders above 20% and at most 100%. The article presents the combination as a way to find companies with…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This screen selects stocks in the metaverse sector that recorded a limit-up event within the previous 25 days and have year-over-year growth in net profit attributable to parent shareholders above 20% and no more than 100%. It also specifies selecting…

AksjerKinesiske markederMomentumHendelsesdrevet handel
SuperMind

This stock screen combines metaverse-sector membership, a prior-day turnover threshold above 8%, and a rising-bottom chart pattern. The article presents rising bottoms as a way to identify prices recovering from a low and potentially continuing upward, with…

AksjerKinesiske markederTekniske indikatorerKursbrudd
SuperMind

The document outlines a Chinese equity screening rule that combines a metaverse sector filter, a closing price above the 250-day moving average, and a positive product of price change and a large-order net-volume measure. The stated interpretation is that…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This short-term stock screen combines three signals: a high-low range greater than one, a shortening negative MACD histogram on a 15-minute chart, and at least one limit-up move during the past month. The document interprets the range as a sign of…

AksjerKinesiske markederMomentumVolatilitet
SuperMind

This screening idea combines a daily high-low range threshold, consistently strong return on equity over five years, and a filter related to the previous day’s limit-up status. The stated rationale is to pair a measure of price movement with a longer-term…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
SuperMind

This stock-selection proposal focuses on companies classified in the metaverse sector. It selects stocks that experienced a limit-up move within the prior 25 days and whose current close is above the previous day’s low. The post describes selecting…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This note proposes a Chinese equity screen for stocks with amplitude above 1, rising lows, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It combines a price-pattern condition with a sector theme and a…

AksjerKinesiske markederTekniske indikatorerVolatilitet
SuperMind

This note describes a Chinese equity screen combining three conditions: price amplitude above 1, circulating market capitalization above 10 billion yuan, and at least one limit-up event in the prior 25 days. It frames the screen as a way to find larger,…

AksjerKinesiske markederVolatilitetKursbrudd