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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
Quantopian-forelesninger
45 dokumenter
Binance API docs
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

79,386 dokumenter

BigQuant

The article examines why sector-themed equity funds attract investors and which industries may suit them, then develops two portfolio design approaches. It links investor demand to the visibility of past winners on financial technology fund platforms and…

AksjerKinesiske markederFaktorinvesteringPorteføljekonstruksjon
SuperMind

This document describes a China A-share screening rule for companies classified in the metaverse industry. It combines a circulating share or float-size ceiling of 5.5 billion shares with a volume ratio above 1.5 and below 6. The volume ratio is described as…

Kinesiske markederAksjerTekniske indikatorer
SuperMind

This proposed short-term stock screen combines three conditions: price amplitude above a threshold, a rounded price pattern relative to recent prices, and a measure formed by multiplying price change by net volume from very large orders. The accompanying…

AksjerKinesiske markederTekniske indikatorerMarkedsmikrostruktur
SuperMind

This proposed equity screen selects stocks based on an amplitude threshold, current trading volume above a stated level, a higher opening price, and a company-type condition. The accompanying analysis describes the screen as using price movement and volume…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

This document describes a channel indicator for identifying potential countertrend entries. It calculates the highest and lowest prices over a configurable lookback range, uses their midpoint as the channel center, and plots a simple moving average of…

Tilbakevending mot gjennomsnittetTekniske indikatorerStatistikk
SuperMind

This stock-selection rule combines valuation filters with short-term technical signals. It screens Shenzhen main-board shares for positive price-to-earnings and price-to-book ratios below stated upper bounds, RSI below 65, and a shrinking negative MACD…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet
Amberdata research

This webinar recap reviews digital-asset market indicators around Q2 2024, covering Bitcoin exchange-traded fund flows, spot trading, DeFi lending, blockchain transfers, and tokenized real-world assets. It reports that Bitcoin ETF flows cooled in Q2, with…

KryptoSpotmarkederDeFiOn-chain-data
BigQuant

This brief platform discussion concerns an error encountered while plotting intraday minute bars for a futures strategy. The response identifies a data-availability issue: fields such as adjustment factors and suffixed close-price columns are not present in…

FuturesTekniske indikatorer
MQL5 code base

This indicator places two moving averages, labeled fast and slow, in the main chart window and uses a colored histogram to show the gap between a selected pair of values. The histogram can represent price versus the fast average, price versus the slow…

Tekniske indikatorerTrendfølgende handel
SuperMind

This stock-selection idea combines three filters: daily range relative to an average true range measure, a large single-day gain within the recent 25 trading days, and a weekly moving-average crossover intended to identify a longer-term uptrend. The…

Kinesiske markederAksjerMomentumTrendfølgende handel
ProRealCode

This indicator tracks breakouts beyond recent lows and highs over configurable lookback periods. Each new bearish breakout resets a counter for bars elapsed since that low event; each bullish breakout resets a separate counter since the high event. A buy…

Tekniske indikatorerKursbruddMomentum
MQL5 code base

This document describes a semaphore signal indicator built around the XCCX_StDev oscillator. Its configurable mode selects among five signal rules: oscillator levels alone, deviation thresholds alone, both conditions together, or the combined conditions…

Tekniske indikatorerVolatilitetTrendfølgende handel
SuperMind

This post describes an equity screen requiring MACD to be above its zero line, a two-day high condition, market capitalization below a stated ceiling, and positive net profits over five years. It discusses the rationale for combining a momentum-style…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

The post outlines a Chinese equity screening rule that combines metaverse-sector membership, positive institutional flow, and a condition based on rolling 20-period lows and closes. It describes the price condition as a way to find comparatively low prices,…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
vn.py community

This forum exchange addresses a question about changing historical EMA readings and repeated signals in a VeighNa CTA strategy using ArrayManager. The answer explains EMA as a recursive indicator: each new bar updates the current value using the latest price…

Tekniske indikatorerStatistikkFutures
MQL5 code base

The document describes two versions of an expert advisor that open opposing positions and manage their volumes in opposite sequences. One starts with the minimum lot and increases the size of later positions; the other starts at the maximum and reduces later…

ValutahandelPosisjonsstørrelseRisikostyring
MQL5 code base

This MQL5 Expert Advisor uses a strict confirmation chain across five indicators: a moving average, MACD, Stochastic, OsMA, and Awesome Oscillator. A positive signal is accepted only when every indicator confirms it; failure at any stage discards the signal.…

ValutahandelTekniske indikatorerHistorisk testing
SuperMind

This Chinese stock-selection note proposes screening for shares with turnover between 3% and 12%, three consecutive declining sessions, and circulating market capitalization above 10 billion yuan. It frames the filters as a combination of trading activity,…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetKinesiske markeder
SuperMind

This Chinese equity screening idea combines reported net profit growth, an estimate of current buying interest, and a history of limit-up moves. Its stated criteria require buying activity above 5%, year-over-year net profit growth above 20% and no more than…

AksjerFaktorinvesteringMomentumKinesiske markeder
SuperMind

This note describes a Chinese stock selection screen combining daily price range, a history of limit-up moves, and a rising 30-day moving average. It selects shares whose high-to-low range exceeds 1% of the previous close, that recorded at least two…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document describes a stock screen requiring price amplitude above 1%, turnover greater than 2% and below 9%, and a 2019 dividend payout ratio above 25%. It presents amplitude and turnover as measures of market activity and uses the historical payout…

AksjerKinesiske markederFaktorinvesteringRisikostyring
ProRealCode

The Damiani Volameter is presented as a filter for identifying whether market conditions are trending or ranging. It compares a volatility meter with a threshold: the document says a green line above the black line indicates a trend, while the reverse…

Tekniske indikatorerVolatilitetTrendfølgende handelTilbakevending mot gjennomsnittet
BigQuant

This market review describes a year of changing styles in Chinese equities: cyclical and growth themes led during the recovery, followed by a shift toward value later in the year. It argues that a high earnings base and flattening growth expectations could…

AksjerKinesiske markederFaktorinvesteringMaskinlæring
SuperMind

This proposed Chinese mainland equity screen selects main-board stocks with a 14-period RSI below 65, a daily gain above 1%, and turnover between 3% and 12%. The accompanying examples show how to calculate RSI and daily returns, filter for listed shares…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet