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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
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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
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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
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

The proposed screen selects stocks after the open when their five-period amplitude measure exceeds a threshold, the measured institutional participation rate changes materially from the prior day, and the share price equals a specified level. The document…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese stock-selection proposal combines a relative-strength index below 65, an external-to-internal trading-volume ratio above 1.3, and revenue growth from 2018 to 2021 above 10%. The author presents the mix as a way to bring technical conditions,…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

The document outlines a Chinese equity screening idea combining three conditions: at least five moving averages converge, the opening price is near a ten-day average, and the quoted 9:25 change is below 6%. It argues that converging averages may indicate…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This stock selection approach combines moderate trading activity, recent price-limit events, and a cap on tradable shares. It screens for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a float threshold stated as 5.5…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This post proposes a Chinese equities screening rule combining a relative strength index below 65, seven consecutive declining sessions, and a 2019 dividend payout measure above 25%. Its final version adds a market-value range of 5–20 billion yuan. The post…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This historical account explains how Bridgewater developed the All Weather approach from a broader effort to understand recurring economic relationships. Its core framework separates returns into cash, market beta, and manager alpha, then considers how…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaFiksēta ienākuma instrumenti
SuperMind

This article presents a Chinese equity selection rule focused on stocks associated with the metaverse concept. Candidates must have a 30-day moving average that is rising and must not be listed on the STAR Market. The article gives screening logic in terms…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This article describes a Chinese equity screen combining daily price movement, a rising trend filter, a market capitalization ceiling of 10 billion yuan, and positive net profit. It frames amplitude above 1% as a way to find more volatile shares and a 20-day…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This strategy uses the range-based RSRS indicator to time exposure and rotate between large-cap and small-cap Chinese equity ETFs. It fits a rolling ordinary least squares regression of daily highs on lows, standardizes the recent regression slope, and…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

The document describes a simple Chinese equity screening rule: select stocks with a daily high-to-low range above 1%, a reversal-style candle condition called “fanbao,” and a high equal to the maximum over the current and prior day. It presents the rule as a…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and limits circulating share count to 5.5 billion. The article also discusses combining these filters with company and industry information, valuation…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This stock-selection outline screens Chinese equities for a daily price amplitude above 1, a listing history longer than one year, membership in a robotics concept group, and circulating market value below 10 billion yuan. It describes joining listed-company…

AkcijasĶīnas tirgiPozīcijas apjoma noteikšana
SuperMind

This post presents a weekly China A-share selection screen combining three conditions: a five-period amplitude measure above one, a change in a proxy for institutional volume activity, and a positive weekly price and volume pattern. The last condition…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening article proposes selecting shares with a daily range above a threshold, rising lows, positive institutional buying, and a 20-day moving average above the 250-day average. It also excludes special-treatment stocks and describes…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This Chinese stock-screening note describes a technical filter combining daily price range, Bollinger Bands, and recent returns. It seeks stocks with a price range above a 20-day average, a close between the Bollinger middle and upper bands, and a positive…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese stock screening idea selects companies in the metaverse sector with a volume ratio between 1.5 and 6 and a prior-day appearance on the Dragon and Tiger List. The article frames these filters as a way to find active stocks attracting attention.…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This FAQ explains how an exchange prevents a user’s orders, or orders from accounts sharing a trade group, from matching against each other. It describes the available outcomes: allow the match, expire the taker or maker order, expire both, decrement both…

Rīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
SuperMind

This Chinese stock selection note proposes combining three conditions: prior-day price amplitude above 1%, appearance on the previous day’s 龙虎榜 (a list of stocks with notable trading activity), and a newly formed bullish KDJ crossover. The rationale is that…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post outlines a Chinese equity screen for stocks classified in the metaverse sector. It requires a positive recent return and a MACD histogram value below zero two sessions earlier. The stated rationale is to combine sector membership and a positive…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-language post describes an equity screen combining a relative strength index below 65, seven consecutive down sessions, and return on equity above 15% for each of five consecutive years. It presents the RSI and price streak as technical filters…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This stock-selection rule looks for shares with daily amplitude above 1%, an opening price within 2% of the 10-day moving average, and no prior-day limit-up. The article frames volatility as a source of potential short-term opportunity, the opening-price…

AkcijasSvārstīgumsTehniskie indikatoriRiska pārvaldība
SuperMind

This note describes an equity selection rule using three conditions: a 14-period RSI below 65, bid-side volume greater than ask-side volume, and the 20-day moving average above the 120-day moving average. The RSI threshold is presented as a way to avoid an…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This note outlines an equity screen for metaverse-related stocks. It combines daily price amplitude above 1 with a condition that at least one trading day in the prior 25 sessions had a gain of 10% or more. The stated rationale is to find volatile shares…

AkcijasSvārstīgumsCenas impulssTehniskie indikatori