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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
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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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
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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
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This Chinese stock-selection note combines three conditions: daily price amplitude above a threshold, the current high matching the highest value across two days, and positive OBV. The intended screen seeks stocks showing substantial short-term movement, a…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines a prior-day price-amplitude threshold and appearance on the previous day’s trading leaderboard with positive price-to-earnings and price-to-book ratios below specified limits. It applies these conditions to Shenzhen Main Board…

AkcijasĶīnas tirgiTehniskie indikatoriUz notikumiem balstīta tirdzniecība
SuperMind

This Chinese stock-selection rule combines three technical conditions: daily price amplitude above 1%, a positive 10-day return below 35%, and a newly formed bullish KDJ crossover. The article interprets the amplitude threshold as selecting stocks with…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document proposes screening Chinese stocks associated with the metaverse theme, requiring a positive institutional-flow measure and a 20-day moving average above the 120-day moving average. It frames the industry filter as a way to target a developing…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document describes a Chinese equity screen combining daily turnover, the relationship between price change and super-large-order net flow, and a comparison of auction volume with the prior day’s volume. The written rule requires turnover from 3% to 12%,…

Ķīnas tirgiAkcijasTirgus mikrostruktūraTehniskie indikatori
SuperMind

This proposed equity screen ranks stocks by incoming capital, then filters for larger free-float market capitalization and a rising trend in which the 20-day moving average is above the 120-day average. The article describes fund-flow measures such as…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This Chinese stock-screening proposal combines a daily price-range filter, three moving-average crossover conditions, and an upward-sloping short moving average. The article frames the expanding average structure as a sign of strengthening upward momentum.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection idea filters companies classified in the metaverse industry by their prior-day actual turnover and by whether the close is above a five-day moving average. The stated rationale is that the industry screen narrows the universe, turnover…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This article describes a stock screen that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and revenue in 2021 more than 1.1 times revenue in 2018. The proposed logic blends a measure of trading activity, a technical signal, and a…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This article outlines a stock screen for shares with turnover between 3% and 12%, codes beginning with 60, and a MACD value below zero two trading days earlier. The stated rationale is to combine a moderate activity filter with a lagged technical indicator…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This article describes a Chinese stock screen combining three conditions: price amplitude above 1, a “morning star” candlestick pattern in Kute Intelligent, and a positive 10-day gain below 35%. It presents the approach as a way to find active stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock selection proposal combines three technical filters: an intraday range above a threshold, a positive ten-day return capped below a stated upper bound, and weekly MACD above its zero line. The article presents volatility as a way to identify active…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock selection proposal combines price trend, trading activity, opening strength, and recent returns. It describes choosing shares whose price is above five moving averages, with current volume above the stated threshold, an opening price above the…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document describes a Chinese stock screen combining daily price range, a turnover measure adjusted by the ratio of current auction volume to prior-day volume, and evidence of a recent limit-up move. It frames these inputs as signs of active trading,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This community post outlines a Chinese stock-selection idea that ranks shares by a measure of capital strength, looks for a morning-star pattern associated with a bullish reversal, and limits the 9:25 a.m. price gain to below 6%. The author presents capital…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This community post proposes a screen for Chinese equities combining a market capitalization below 10 billion yuan, no reported past losses, a positive intraday increase in holdings above 5%, and an auction-stage price change between negative 2% and positive…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This stock selection rule screens Chinese metaverse-related equities for actual turnover between 3% and 28% two sessions earlier, alongside a seven-session sequence of declining closes. The post gives both a formula-style condition and a Python example, and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post describes a stock selection screen based on three market conditions: daily price amplitude above a threshold, turnover between specified bounds, and a weekly bullish signal. The rationale is that more active, volatile stocks may…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The proposed screen selects main-board Chinese stocks in the metaverse sector based on two short-term conditions: turnover above 8% on the prior day and a gain above 1% today. The document gives a concise description of the rule and reference formulas, then…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This A-share screening idea combines three conditions: daily amplitude above 1%, a ranking by individual-stock heat, and a 9:25 a.m. gain below 6%. The accompanying explanation treats amplitude as a sign of activity and stock heat as a proxy for market…

AkcijasĶīnas tirgiTehniskie indikatoriRīkojumu izpilde
SuperMind

This proposed equity screen combines three filters: at least five moving averages are said to converge, the stated 9:25 price gain must remain below a threshold, and the company must have had a high dividend payout ratio in 2019. The post presents…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības