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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
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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 community post describes a Chinese stock screen based on three conditions: a prior-day trading range above a threshold, an opening price near the ten-day moving average, and a recent run of consecutive limit-up sessions. The moving-average condition is…

AkcijasTehniskie indikatoriCenas izrāviensĶīnas tirgi
SuperMind

This community post proposes a Chinese equity screen combining a daily price-range threshold, a recent reversal or engulfing pattern, robot-concept classification, and a circulating market capitalization below 10 billion yuan. The stated intent is to find…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This Chinese equity screen selects stocks with a price range greater than one, more than three years since listing, and prior-day auction turnover above 0.26. It presents range as a proxy for attention and trading activity, while the listing-age condition is…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

The post describes a China-focused stock screen combining reported institutional buying, a recent increase in buying activity above five percent, market capitalization below 10 billion yuan, and a history without losses. It then presents a more restrictive…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This Chinese-market screening rule selects stocks whose codes begin with 60, whose turnover rate falls within a specified band, and whose ten-day return is positive but below a stated ceiling. The post frames turnover as a liquidity filter and the return…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This proposed stock-selection rule combines a 14-period RSI below a stated ceiling, greater volume on the best bid than on the best ask, and a positive price-to-earnings ratio. The post presents the combination as a way to consider price conditions,…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese-market stock screen combines price behavior and a control-related measure with valuation and profitability filters. Its initial criteria select stocks with amplitude above a threshold, today’s control measure above a threshold, and a positive…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The proposed equity screen selects stocks with an RSI below 65, seven consecutive sessions in which the close is no higher than the open, and strong combined large and extra-large buy volume during the opening auction. It combines a momentum indicator, a run…

AkcijasTehniskie indikatoriTirgus noskaņojumsCenas impulss
SuperMind

This A-share selection rule combines a relative strength index below 65 with an industry concentration measure above 70% or below 20%, plus a dividend payout ratio above 25% for 2019. The post frames the approach as combining a technical condition with a…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This proposed A-share screen combines a turnover band of 3% to 12%, market capitalization below 10 billion yuan, and positive earnings conditions with MACD-based trend criteria. Stocks are filtered for DIF above DEA and ranked by the DIF-to-DEA ratio. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document presents an equity screening rule combining three conditions: intraday amplitude above a threshold, circulating market capitalization above a stated floor, and a shortening MACD histogram bar on a 15-minute chart. It interprets histogram…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This document outlines a Chinese stock screen combining a reported increase in buying activity, Shenzhen main-board membership, valuation limits, and a positive but capped 10-day return. It also specifies price-to-earnings and price-to-book ranges. The…

Ķīnas tirgiAkcijasCenas impulssFaktoru ieguldīšana
SuperMind

This document proposes a Chinese equity selection rule that filters for daily amplitude above 1 and a control-activity measure above 21, then ranks qualifying stocks by market heat. Its examples refer to a heat index and controlling-shareholder activity…

Ķīnas tirgiAkcijasTirgus noskaņojumsTehniskie indikatori
SuperMind

This document describes a Chinese equity screen based on three daily conditions: amplitude above 1, a daily percentage change between -5% and -4%, and a closing price below 12 yuan. It presents the method as a way to identify stocks with notable price…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This screening rule selects stocks with a daily price range of at least 1%, circulating market value above 10 billion yuan, and turnover between 3% and 12%. The stated intent is to combine price activity and liquidity with company scale. The article includes…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This A-share screen combines turnover between 3% and 12%, a circulating market capitalization range stated as 1 to 55 billion yuan, and a bullish reversal pattern: the previous session closes below its open, while the current session closes above its open.…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen combines a daily turnover range of 3% to 12%, exclusion of Beijing-listed A-shares, and a 15-minute MACD histogram whose negative bars are getting shorter. The document interprets that histogram change as a possible short-term rebound…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document outlines a framework for monitoring stablecoin risk through price deviation from the peg, trading volume, liquidity, and transfer velocity. It explains that there is no single universal price threshold for declaring a depeg, and recommends…

KriptoaktīviSvārstīgumsTirgus mikrostruktūraBlokķēdes dati
SuperMind

This stock-selection rule screens for shares with daily amplitude above 1%, RSI below 65, and closing price above the five-day moving average. The conditions combine a volatility filter, a momentum indicator intended to avoid high RSI readings, and a…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

The document outlines a stock screen that combines a price movement filter with a low closing-price threshold and simultaneous bullish crossovers among three moving averages. It presents the idea as a way to find stocks that may be starting an upward move,…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

This Chinese equities screen combines a price-range condition, a rounded price pattern, and ranking by the day’s auction trading value. It proposes selecting the top five stocks by auction value, interpreting that ranking as a sign of current capital…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This Chinese equities screening approach selects stocks with a price range above 1%, prior-day actual turnover between 3% and 28%, and turnover between 3% and 12%. It treats price range and turnover as signs of short-term trading activity while limiting…

AkcijasĶīnas tirgiTirgus mikrostruktūraRiska pārvaldība
SuperMind

This Chinese equities screening rule combines daily price range, circulating market capitalization, and a 14-period RSI. It selects stocks whose range exceeds 1%, circulating market value is above 10 billion yuan, and RSI is below 65. The article presents…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
SuperMind

This Chinese stock screen selects shares with daily amplitude above 1%, a day's low between 4% and 5% below the prior close, and an external-to-internal volume ratio above 1.3. The accompanying example estimates the decline from daily price data and derives…

AkcijasSvārstīgumsTirgus mikrostruktūraTehniskie indikatori