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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
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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
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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
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QuantInsti blog
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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 A-share screening strategy combines daily price and trading activity conditions with a weekly trend signal. It selects stocks whose amplitude exceeds the stated threshold, whose prior-day turnover rate multiplied by the ratio of today’s opening-auction…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document proposes a short-term stock screen combining price movement with trading activity. It selects shares whose amplitude exceeds a threshold, whose price at the 9:25 observation is below a stated gain limit, and whose external-to-internal volume…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This strategy rebalances on the first trading day of each month, removes special-treatment stocks and shares listed on the STAR Market or Beijing Stock Exchange, then invests equally in the 30 stocks with the smallest market capitalizations. It has no…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
SuperMind

This note proposes screening Chinese shares for turnover between 3% and 12%, a positive but less than 35% return over ten days, current volume above 10,000 lots, and a higher open. The sample code also applies exclusions for certain listing boards and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, circulating share count no greater than 5.5 billion, and no limit-up close on the prior day. Its accompanying Python example uses turnover, circulating market capitalization,…

AkcijasĶīnas tirgiCenas impulss
SuperMind

This post outlines a simple daily stock screen for Chinese equities. It selects stocks whose MACD indicator is above zero and whose prior-day opening-auction turnover rate exceeds a stated threshold, then ranks candidates by stock popularity. The screen is…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-language post proposes screening mainland Chinese stocks using three conditions: daily high-low amplitude above one percent of the previous close, a positive large-order net-volume measure, and a negative change in the prior day’s 9:15 matching…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This stock screen selects shares with daily range above one percent, a positive ten-day return below thirty-five percent, and ranks candidates by the product of daily price change and net volume from very large orders. The document frames the range filter as…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This stock-selection idea first limits the universe to companies classified in the metaverse industry. It then looks for an opening price near the ten-day moving average and uses a 15-minute MACD histogram that is still below zero but is contracting as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language article outlines an equity screening strategy for the metaverse sector. It selects stocks with a MACD bullish crossover, ranks candidates by money-flow strength, and excludes a designated board of stocks. The article also gives an…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-screening approach combines a technical condition with company and valuation filters. It selects Shenzhen main-board shares whose MACD is above zero, whose company quality is considered favorable, and whose price-to-earnings and price-to-book…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This selection method screens for stocks with turnover within a specified band, a reversal-style price pattern, and a high rank in large-order net buying. The article describes the flow ranking as a way to incorporate market participation and capital…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus noskaņojums
SuperMind

This stock screen selects robot-themed companies using three filters: a daily high-low range condition, positive institutional fund-flow measures, and circulating market value below a stated ceiling. The accompanying examples describe aggregating recent net…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTirgus noskaņojums
SuperMind

This stock-selection screen combines a daily price-range condition, a minimum circulating market value, and a profitability filter requiring return on equity above a stated threshold across five years. The document presents the combination as a way to find…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaStatistika
SuperMind

This note presents an equity screen for stocks whose codes begin with 60, whose 20-day moving average is above the 120-day average, and whose multiple moving averages cluster closely together. The initial description calls for at least five overlapping…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This Chinese stock-selection post proposes combining a turnover range, an imbalance between aggressive buying and selling, and recent limit-up activity. Its prose specifies turnover between 3% and 12%, an outside-to-inside market volume ratio above 1.3, and…

Ķīnas tirgiAkcijasCenas impulssTirgus mikrostruktūra
SuperMind

This Chinese stock-selection note describes screening shares in the metaverse sector using an opening-session price condition and a ranking by capital-flow strength. The stated rule selects stocks whose 9:25 gain is below 6%, then prioritizes higher fund…

Ķīnas tirgiAkcijasRīkojumu izpilde
SuperMind

The document presents a Chinese stock screen for companies associated with the metaverse theme. It selects stocks appearing on the prior day's exchange leaderboard and applies a circulating-share limit; the detailed formula narrows the float to between 3…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums
SuperMind

The document describes a Chinese equity screen combining positive MACD, revenue growth, a market-cap ceiling of 10 billion yuan, and positive net profit. Its intended rationale is to pair upward price momentum with business growth and current profitability.…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document describes an equity screen combining at least five overlapping moving averages, positive earnings, and a market capitalization capped at 10 billion yuan. Its proposed expanded rules also require five consecutive profitable quarters, a…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This Chinese-language article describes an equity selection approach that sorts by capital strength, using measures such as turnover and volume ratio, while filtering for companies with market capitalization at or below 10 billion yuan, no losses, and a…

AkcijasCenas impulssTirgus mikrostruktūraRiska pārvaldība
SuperMind

This Chinese-language article outlines an equity screen requiring MACD to be above zero, price-to-earnings ratio to be positive, and the MACD signal line, DEA, to be rising. It interprets these conditions as combining a bullish technical state, a positive…

AkcijasCenas impulssTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document describes a stock screen restricted to the metaverse industry. It selects shares whose closing price is above the five-day moving average and whose opening price lies within a band around the ten-day moving average. The stated intent is to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss