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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.

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20,364 dokumenter
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
560 dokumenter
QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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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
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Quantpedia
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Hyperliquid docs
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
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Binance API docs
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Quantopian-forelesninger
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FMZ guides
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pysystemtrade
34 dokumenter
Freqtrade docs
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quant-trading
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FinRL
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Jesse
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pyfolio
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backtesting.py
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QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

SuperMind

This stock-selection idea builds a candidate pool from shares with a daily high-low range greater than one percent, at least one limit-up event in the prior 25 days, and a limit-up event within the past month. The post interprets range as a sign of…

AksjerKinesiske markederVolatilitetKursbrudd
SuperMind

This proposed China A-share screen combines three conditions: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and at least one limit-up event within the past month. The rationale is to focus…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

The document outlines a Chinese A-share screening rule that selects stocks with a daily high-low range of at least one percent, relative volume between 1.5 and 6 times its five-day average, and a nonempty outstanding convertible-bond name field. It…

AksjerKinesiske markederTekniske indikatorerStatistikk
SuperMind

This stock-selection rule screens for turnover between 3% and 12%, year-over-year net profit growth attributable to parent-company shareholders above 20% and no more than 100%, and a 9:25 price change below 6% in absolute value. The article combines a…

Kinesiske markederAksjerFaktorinvesteringTekniske indikatorer
SuperMind

This Chinese stock-selection rule combines a daily high-low range greater than 1%, a reversal or engulfing-style candle condition, and the presence of an outstanding convertible bond name. The document presents these as a way to find reversal candidates…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This Chinese equity screen combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and a moving-average condition intended to identify upward divergence. The accompanying discussion frames these filters as proxies for…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The proposed stock screen looks for turnover between 3% and 12%, a circulating share count at or below 5.5 billion, and a daily maximum decline between 4% and 5%. The article frames the combination as a way to avoid very inactive stocks, limit exposure to…

AksjerKinesiske markederTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This stock selection idea combines three screens: membership in the metaverse industry, a positive institutional activity reading, and a 10-day return above zero but no higher than 35%. The rationale is to focus on a growth-oriented theme and stocks with…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post describes a stock selection rule that combines daily turnover, a low KDJ K value, and prior-day opening-auction turnover. It treats the conditions as a buy signal: turnover must fall within a stated band, K must be below a threshold, and auction…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This document proposes screening stocks for price amplitude above a threshold, MACD above zero, and a positive change in the KDJ K value. It argues that amplitude can capture movement, MACD can indicate positive trend conditions, and rising K may reflect…

AksjerTekniske indikatorerMomentumStatistikk
SuperMind

This document describes a stock screen combining daily price amplitude, a dividend ratio for 2019, and a rising DEA value from MACD. Its rationale is that amplitude identifies more volatile shares, the dividend condition favors higher-yielding stocks, and…

AksjerTekniske indikatorerVolatilitetTrendfølgende handel
SuperMind

This stock-selection screen looks for A-shares with daily amplitude above one percent, at least one limit-up event within the recent 21 trading days, and a 30-day average close above the 60-day average. The reference formula also filters for listed shares…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock screen selects shares with an intraday high-low range above 1%, a closing price exactly at 18.5 yuan, and volume between 1.5 and 6 times its five-day average. It sorts qualifying names by turnover. The stated rationale is to find stocks showing…

AksjerTekniske indikatorerMomentum
SuperMind

This proposed stock screen combines a turnover rate between 3% and 12%, seven consecutive declining sessions, and a rising DEA line from MACD. The author frames the combination as a possible early signal of a trend reversal: recent weakness is paired with an…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

This proposed A-share screening rule selects stocks before each trading day opens, requiring MACD to be above zero and the 2019 dividend amount relative to current price to exceed 25%. Candidates are ranked by stock popularity, which the article treats as a…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This post introduces an autoregressive model for financial time series, using CSI 300 prices and returns as the subjects of study. It says the material walks through fitting the model and attempting forecasts, presenting a modeling workflow focused on this…

AksjerKinesiske markederStatistikkHistorisk testing
SuperMind

This Chinese stock-screening post combines trading activity, recent price weakness, and historical revenue growth. It selects stocks with turnover between 3% and 12%, seven consecutive declining sessions, and 2021 revenue more than 10% above 2018 revenue.…

AksjerKinesiske markederTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This note describes a Chinese A-share screen for metaverse stocks with prior-day turnover above 8% and a prior-day opening auction match price at the limit down. It also presents a simplified final rule based on metaverse classification, turnover, and a…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This Chinese equity screen selects stocks associated with the robotics concept, with turnover between 3% and 12%, circulating market value below 10 billion, and a stated scale threshold above 200 million. The post says the added scale filter is intended to…

AksjerKinesiske markederFaktorinvesteringPorteføljekonstruksjon
SuperMind

This post presents a Chinese stock-selection screen using daily amplitude, a measure described as current control above 21%, and a morning-star signal attributed to Kute Intelligent. Its discussion characterizes the setup as a short-term technical approach…

AksjerTekniske indikatorerMarkedssentimentKinesiske markeder
SuperMind

This document describes a short-term Chinese stock screen combining daily price amplitude above 1%, a newly formed KDJ crossover, and classification in the metaverse concept. Its indicator example calculates K, D, and J from recent closing prices and selects…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document defines maximum drawdown as the largest decline from a historical net asset value peak to a subsequent trough within a selected period. It frames the measure as an estimate of the worst loss an investor might have experienced after buying a…

RisikostyringStatistikkPorteføljekonstruksjon
SuperMind

The document describes three equity strategies built around a bull-bear indicator: a direct timing rule for broad indexes, monthly indicator-change rotation among industries, and index allocation based on the share of constituent stocks signaling a long…

AksjerKinesiske markederTrendfølgende handelMomentum