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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 79,386

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…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
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…

Ķīnas tirgiAkcijasTehniskie indikatori
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…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
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…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
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…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriStatistika
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…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
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…

KriptoaktīviTūlītējo darījumu tirgiDeFiBlokķēdes dati
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…

Nākotnes līgumiTehniskie indikatori
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…

Tehniskie indikatoriSekošana tendencei
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…

Ķīnas tirgiAkcijasCenas impulssSekošana tendencei
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…

Tehniskie indikatoriCenas izrāviensCenas impulss
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…

Tehniskie indikatoriSvārstīgumsSekošana tendencei
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…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
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,…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
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…

Tehniskie indikatoriStatistikaNākotnes līgumi
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…

Valūtu tirgusPozīcijas apjoma noteikšanaRiska pārvaldība
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.…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaude
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,…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
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…

AkcijasFaktoru ieguldīšanaCenas impulssĶīnas tirgi
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…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
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…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
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…

Tehniskie indikatoriSvārstīgumsSekošana tendenceiAtgriešanās pie vidējās vērtības
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…

AkcijasĶīnas tirgiFaktoru ieguldīšanaMašīnmācīšanās
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…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības