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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

The post asks how to reproduce a backtest setting from JoinQuant in another Chinese trading platform. The JoinQuant setting described allows limit orders to fill directly without checking the submitted price or quantity, which the author wants to use when…

AksjerOrdreutførelseHistorisk testing
SuperMind

This Chinese-language post proposes a stock-selection screen for Shenzhen main-board shares. It combines prior-session price amplitude above 1%, circulating shares no greater than 5.5 billion, positive price-to-earnings below 29.01, and positive…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
SuperMind

This document presents a technical equity screen requiring at least five moving averages to converge, a positive return, and the 20-day moving average to exceed the 120-day average. Its rationale is that clustered averages may indicate relatively stable…

AksjerTekniske indikatorerMomentumHistorisk testing
SuperMind

This document describes an equity screen combining daily price amplitude above 1%, market capitalization below 10 billion yuan, positive net profit in each of the latest four quarters, a nonempty convertible-bond short name, and an opening price above the…

AksjerTekniske indikatorerRisikostyringKinesiske markeder
SuperMind

The study summary describes estimating bond fund asset exposures from externally available data when reported holdings are delayed, infrequent, and incomplete. Its central method is regression: fund returns are related to price-weighted asset returns, using…

RentepapirerStatistikkFaktorinvesteringPorteføljekonstruksjon
SuperMind

This stock screen combines three conditions: daily amplitude above one percent, at least two apparent limit-up moves in the prior 500 days, and three consecutive declines in closing price. The stated rationale is to find historically active stocks that have…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetRisikostyring
SuperMind

This post presents a proposed Chinese A-share screen using RSI below 65, an external-to-internal trade-volume ratio above 1.3, and exclusion of Beijing-listed stocks. It also describes a 10-day price-change filter in the Python example, retaining stocks with…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This post presents an A-share stock screen that combines a technical indicator, reported earnings growth, and institutional ownership. It selects shares with RSI below 65, year-over-year growth in net profit attributable to the parent company above 20% and…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This Chinese-language post outlines a short-term A-share stock screen that combines price activity and a limit-up pattern. Its stated filters include amplitude above a threshold, a claim of main-force control on the prior day, exclusion of ST-designated…

AksjerKinesiske markederMomentumKursbrudd
SuperMind

This document outlines a Chinese stock screening idea that combines a daily price-range threshold, a newly formed KDJ crossover, and a company-type condition. The intended output is a pool of candidate stocks. It also sketches formula and Python…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The post describes a stock-selection screen that ranks companies by capital-flow strength and considers share price and revenue growth. Its core growth condition compares 2021 revenue with 2018 revenue, requiring the ratio to exceed 1.1. The final proposed…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This proposed stock screen targets companies classified in the metaverse sector during 2021. It selects stocks that appeared on the previous day’s trading leaderboard, have market capitalization below the stated limit, and report positive net income. The…

Kinesiske markederAksjerHendelsesdrevet handelFaktorinvestering
SuperMind

The document presents a short-term stock screen that selects shares with current turnover between 3% and 12%, greater volume at the best bid than at the best ask, and previous-day turnover above 8%. It frames turnover as a liquidity and activity measure and…

AksjerMarkedsmikrostrukturTekniske indikatorerOrdreutførelse
SuperMind

This Chinese equity screening rule selects main board stocks with turnover between 3% and 12%, a listing year of 2021, and a latest close more than 1% above the previous close. It combines a liquidity or activity filter with a recent price strength condition…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This proposed A-share screen looks for stocks classified in the metaverse industry that appeared on the previous day’s Dragon and Tiger List and have a rising DEA indicator. The article treats list inclusion as a sign of market attention and a higher DEA…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This stock screen selects companies assigned to the metaverse industry when the KDJ indicator has just formed a bullish crossover and prices have closed lower throughout the recent seven-session window. The proposed rationale combines a technical signal with…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock-screening idea selects companies in the metaverse theme whose prior close is at or above the 250-day moving average and whose prior session closed below its open. The bearish-candle condition is treated as a possible setup for a subsequent…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
SuperMind

The document presents a Chinese equity screen limited to the metaverse category. It combines a morning price-change condition below 6% with turnover greater than 2% and less than 9%. The stated rationale is to focus on shares in a chosen thematic group while…

AksjerTekniske indikatorerMarkedssentimentKinesiske markeder
SuperMind

This Chinese equity screening idea requires turnover between 3% and 12%, a newly formed KDJ golden cross, and three consecutive declining sessions. The stated rationale is to focus on shares with moderate trading activity, a potentially positive indicator…

AksjerTekniske indikatorerMomentumTilbakevending mot gjennomsnittet
SuperMind

The document describes a Chinese equity screen that combines daily price range, a recent-high condition, and trading value. It selects stocks whose high-low range exceeds 1% of the previous close, whose high matches the highest value across the current and…

AksjerTekniske indikatorerKursbruddRisikostyring
SuperMind

This document outlines an equity selection rule based on price amplitude above 1, MACD crossing above zero, RSI over 14 periods above 50, and a condition described as the start of a strong upward move. It frames these criteria as technical signs of…

AksjerTekniske indikatorerMomentumHistorisk testing
SuperMind

This document describes a Chinese equity screen combining daily price amplitude above 1, market capitalization above 200 million, and a shortening 15-minute MACD histogram. It interprets the amplitude filter as a way to find more active stocks, the size…

AksjerTekniske indikatorerMomentumKinesiske markeder