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Zināšanu bibliotēka

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
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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
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Binance API docs
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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 document presents a short-term Chinese equity screen combining prior-day price amplitude, a maximum tradable share count, and prior-day turnover within a specified band. Its rationale is that price movement may identify trading opportunities, smaller…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This research summary compares linear valuation models with machine-learning methods for estimating the monthly fundamental value of stocks in 17 European countries. It constructs a mispricing signal from the difference between estimated fair value and…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaStatistika
SuperMind

The document describes a Chinese equity screen combining daily price movement and trading activity with a profitability filter. It selects stocks with an amplitude above 1, current volume above 10,000 lots, a higher opening price, and return on equity above…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This article describes a daily stock screen for companies classified in the metaverse sector. It looks for a fresh bullish KDJ crossover, requires the stock to have had trading activity in 2021, and limits selection to active stocks before 10:00. It provides…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This article proposes a short-term Chinese equity screen combining three conditions: amplitude above 1, a prior-day 9:15 indicative match price at the limit-down price, and more than two limit-up days within the past ten days. It says the final candidates…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
SuperMind

This document describes a Chinese A-share stock screen that combines trading activity, a technical trigger, and a capital-flow ranking. It selects stocks with turnover between 3% and 12%, a newly formed KDJ golden cross, and positive price movement, then…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection note proposes screening equities for an RSI below a stated threshold, seven consecutive down sessions, and turnover within a specified band. The criteria combine a momentum oscillator, a sustained decline, and a liquidity or…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

The document proposes a Chinese equity screen that combines a prior-day appearance on the market's notable-trading list with a price-range filter and ownership-concentration rankings. Its stated criteria are daily amplitude above 1%, a prior-day notable-list…

AkcijasCenas impulssStatistikaVēsturisko datu pārbaude
SuperMind

This brief Chinese-language community discussion asks whether a strategy based on stocks opening with a gap up can remain effective over longer periods. The poster reasons that a gap may reflect meaningful buying demand and asks which momentum factors could…

AkcijasCenas impulssCenas izrāviens
SuperMind

The document presents a Chinese equities screening idea that combines turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, and a price-range condition scaled by a large-order…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This note proposes a short-term Chinese equity screen that combines daily price amplitude, price above the five-day moving average, and a price-change measure multiplied by a proxy for large-order activity. The intended interpretation is that substantial…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, appearance on the previous day’s Dragon-Tiger list, and a selection period in 2021. It gives example expressions for applying those filters and mentions excluding stocks…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This document outlines a Chinese equity screening idea combining three conditions: membership in the metaverse theme, a positive institutional-flow reading, and a current high that is the highest of the latest two days. It also includes example indicator…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock selection strategy filters for turnover between 3% and 12%, a positive product of price change and net super-large-order volume, and a 10-day return between 0% and 35%. The author presents the added 10-day return band as a way to focus on…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document explains how to trade a cointegrated pair using entry and exit levels produced by a minimum-profit optimization method. It defines a spread from the two asset prices and a hedge coefficient. When the spread falls below the buy threshold, the…

Pāru tirdzniecībaArbitrāžaStatistikaRīkojumu izpilde
SuperMind

This note describes a Chinese equity screening rule for stocks classified in the metaverse sector. It selects stocks whose latest close is above the previous close and whose current low matches the lowest low over either a 20-session or 30-session lookback.…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
SuperMind

The document proposes a Chinese A-share stock screen focused on the metaverse theme. Its initial conditions are yesterday’s turnover above 8% and at least two limit-up events within 500 days. A later version adds a market-capitalization filter, described as…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This proposed Chinese stock screen selects beverage and alcohol companies with turnover in a stated range and a prior-day signal described as main-force control. The article also supplies platform formulas and a Python example. The code uses industry…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese equity screen combines a robotics industry classification with a small circulating market capitalization, a price range condition, and a morning star candlestick pattern. The article presents the conditions as a way to find smaller…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas izrāviens
SuperMind

This A-share screening recipe combines price movement, past limit-up events, and a weekly moving-average crossover. It seeks stocks with an amplitude above 1%, at least two limit-up events within 500 days, and a five-period weekly moving average crossing…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

This Chinese A-share stock screen combines a technical condition with fundamental growth and liquidity filters. It selects stocks with RSI below 65, parent-company net profit growth above 20% and no more than 100%, and prior-day trading value above 60…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection rule focuses on companies classified in the metaverse sector. It calls for three technical indicators to cross upward simultaneously and constrains recent price change to a band from −5% to 2.6%. The named indicator conditions…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share screening rule selects stocks with turnover between 3% and 12%, a positive product of the day’s price change and net large-order volume, and prior-day trading value above 60 million. The document presents these conditions as a way to…

AkcijasĶīnas tirgiTirgus mikrostruktūraStatistika