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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
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FMZ digest
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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
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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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 stock screen combines a metaverse sector classification, prior-day turnover above 8%, and a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than 10%. The rationale is to bring together sector exposure, trading activity,…

AkcijasĶīnas tirgiCenas impulssStatistika
SuperMind

This A-share stock screen combines an intraday range filter, an exact closing-price condition, and a 15-minute MACD histogram condition. The post describes the intended screen as selecting stocks with an amplitude above one percent, a price of 18.5 yuan, and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share screening idea combines recent price-limit events with a measure of trading activity. It defines capital strength as yesterday’s turnover multiplied by the ratio of today’s opening-auction volume to yesterday’s volume, then keeps values between…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

The document describes an A-share stock screen combining turnover, market capitalization, profitability, and a weekly price crossover. It selects companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, no losses, and a weekly…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This note proposes screening Chinese stocks for daily amplitude above 1%, evidence described as main-force control on the previous day, and growth in the KDJ indicator’s K value. The rationale is to combine elevated short-term price movement and signs of…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note describes a Chinese stock screening rule combining daily price amplitude above 1%, afternoon large-order net inflow, and a MACD condition from two days earlier. It presents the filters as a way to find stocks showing both price movement and buying…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This article describes a technical stock screen seeking high daily price ranges, at least one daily gain of 10% or more within the previous 25 trading days, and an upward alignment of moving averages. Its suggested refinement requires the close to be above…

AkcijasTehniskie indikatoriCenas impulssCenas izrāviens
SuperMind

This document reports a backtest of a long-only strategy labeled TV_RSI on hourly BTC-USDT candles from Binance. It covers 493 days, from January 1, 2020, through May 8, 2021. The report lists 94 closed trades, a 179.25% total net profit, a 27.04% maximum…

KriptoaktīviTūlītējo darījumu tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This article translates Steve Leuthold’s value-investing approach into a monthly stock-selection method for Chinese equities. It ranks candidates using low price-to-book, price-to-earnings, and price-to-cash-flow ratios relative to market averages, alongside…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudeRiska pārvaldība
SuperMind

This post presents a short-term equity selection screen using three signals: more than two limit-up sessions in the prior ten days, RSI below 65, and ranking by capital-flow strength. It interprets the RSI threshold as leaving room for further gains, capital…

AkcijasCenas impulssTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese-language post describes an equity screen combining daily price range, five years of return on equity above 15%, and a daily price change between −5% and 2.6%. It also proposes adding a price-to-book ratio no higher than five and revenue growth…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriĶīnas tirgi
SuperMind

This document proposes screening stocks in the metaverse sector for a recent limit-up event and greater volume on the best bid than on the best ask. It specifies selecting during the morning, before 10:00, for same-day trading. The post includes example…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This document proposes a Chinese A-share selection screen combining a relative strength index below 65 with a ratio of external to internal trades above 1.3. It also filters for a product of the prior day’s turnover rate and the ratio of current auction…

AkcijasTehniskie indikatoriĶīnas tirgiTirgus mikrostruktūra
SuperMind

The strategy rotates among China’s four largest banks using each stock’s current price relative to the previous close. When flat, it buys the bank with the weakest ratio if the spread between the strongest and weakest ratios exceeds a preset threshold. When…

AkcijasAtgriešanās pie vidējās vērtībasPāru tirdzniecībaRīkojumu izpilde
SuperMind

This A-share selection method requires MACD to be above its zero line, parent-company net profit growth to be greater than 20% and no more than 100%, and more than two limit-up days within the past ten days. The examples show a possible weekly screening…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This document describes an A-share stock screen combining turnover of 3%–12%, a daily gain above 1%, main-board listing, and a top-50% return rank for 2021. It explains the turnover band as a way to focus on active stocks while avoiding extreme activity, and…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post describes a stock screen combining daily price range, positive institutional net flow, and a relative-volume band. The stated rules select stocks with an amplitude above one, institutional flow above zero, and volume ratio between…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This stock-screening idea selects companies whose codes begin with 60, whose amplitude exceeds one, and which were described as under major-player control on the previous day. The rationale is to narrow attention to volatile stocks with a potentially notable…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The article reviews the progression from earlier GPT language models to GPT-3, emphasizing scale and the ability to perform varied tasks from prompts or examples without task-specific fine-tuning. It describes code generation alongside broader language…

MašīnmācīšanāsStatistika
SuperMind

The document proposes screening Chinese equities for membership in the metaverse sector, a rounded price pattern, and a specified share price. Its later explanation shifts from a fixed price to comparing the current price with a historical low, using a…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The document describes a Chinese stock screen combining a daily price-range condition, prior-day turnover within a specified band, and return on equity above 15% for five consecutive years. It presents the screen as a way to pair recent trading activity and…

AkcijasFaktoru ieguldīšanaSvārstīgumsRiska pārvaldība
SuperMind

This Chinese-language post proposes placing a stock in a candidate pool when its amplitude exceeds 1%, it recorded at least one limit-up day in the prior 25 days, and the weekly five-period moving average crosses above the ten-period average. The stated…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post describes an equity screening rule combining three conditions: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and the 20-day average above the 120-day average. The rationale…

Ķīnas tirgiAkcijasTehniskie indikatoriSekošana tendencei