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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
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 post presents a Chinese equity selection rule for metaverse-related stocks. It specifies a volume ratio above 1.5 and below 6, along with more than two limit-up days during the prior ten days. The final proposed screen also restricts market…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The post describes a Chinese equity screen for companies associated with the metaverse theme. It selects stocks with a volume ratio between 1.5 and 6 and more than two limit-up days within ten days; its final version also adds a market-cap ceiling below 5…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post describes a stock screen combining three conditions: membership in the metaverse industry, positive institutional flow, and an opening price near the 10-day moving average. Its example formula defines “near” as an opening price…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

The document describes a Chinese equity screening rule combining price movement, trading activity, and liquidity. It selects stocks with daily amplitude above 1, a product of the previous day's turnover rate and the ratio of today's opening auction volume to…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
SuperMind

This stock screen selects companies that listed in 2021, have turnover between 3% and 12%, and meet a chosen company-type category, such as state-owned, private, or high-tech. The accompanying Python example filters listing-year and turnover-related fields,…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The proposed stock screen focuses on Chinese listed companies in the metaverse industry. It ranks candidates by the current day’s auction amount, keeps the top five, and requires a signal interpreted as institutional buying. The article gives corresponding…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaVēsturisko datu pārbaude
SuperMind

This Chinese stock screen selects shares with turnover between 3% and 12%, a prior-day appearance on the market’s top-trader list, and a price below 12 yuan. Its final description adds a requirement that a company has been listed for more than a year.…

AkcijasĶīnas tirgiTirgus noskaņojumsTehniskie indikatori
SuperMind

The document describes a Chinese equity selection rule combining three conditions: turnover between 3% and 12%, seven consecutive sessions of falling closing prices, and positive net buying by major participants in the opening auction. It includes example…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

The document describes an equity screen requiring daily price amplitude above 1%, turnover above 2% and at most 9%, and company scale of at least 200 million yuan. It frames these filters as a way to select stocks with meaningful price movement and trading…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document presents an equity screening rule that selects stocks with MACD above zero, upward-spreading moving averages, and a concentration measure greater than 70%. It describes the MACD condition as a sign of an upward market state and the…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese A-share screening example selects stocks using three conditions: turnover between 3% and 12%, traded volume on the buy side relative to sell-side volume above 1.3, and floating market capitalization above 10 billion yuan. The article gives…

AkcijasĶīnas tirgiTirgus mikrostruktūra
SuperMind

This Chinese-language post describes a stock screen combining three signals: a trading range greater than the stated threshold, at least one daily gain of 10% or more during the prior 25 sessions, and a limit-up event in the preceding 25 days. It frames the…

AkcijasCenas impulssSvārstīgumsTehniskie indikatori
SuperMind

This post presents an equity selection rule combining three signals: RSI below 65, positive large-order net inflow in the afternoon, and a shortening positive MACD histogram on a 15-minute interval. It also shows illustrative indicator and Python…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This post describes a mainland China equity screen for non-ST main-board stocks. It selects shares with turnover between 3% and 12%, a daily gain above 1%, and a price below 12 yuan. The accompanying indicator and Python examples show ways to express filters…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock screen selects shares with a market capitalization of at least 200 million, a 14-period RSI below 65, and a 20-day moving average above the 120-day moving average. The moving-average relationship is used as a short-term-versus-longer-term trend…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This stock screen combines three technical conditions: daily amplitude above 1%, a current high matching the highest high of the last two days, and weekly MACD above zero. The first two conditions select for recent movement and a short-term high, while the…

AkcijasTehniskie indikatoriCenas impulssCenas izrāviens
SuperMind

This A-share screening rule selects stocks with turnover between 3% and 12%, a positive product of the day’s price change and super-large-order net flow, and an intraday low between 4% and 5% below the previous close. The stated interpretation is that…

Ķīnas tirgiAkcijasTirgus mikrostruktūraTehniskie indikatori
SuperMind

This A-share stock screen combines a turnover-rate band of 3% to 12% with a newly formed KDJ golden cross, while excluding stocks that hit the daily upper price limit on the previous day. The stated rationale is to seek liquid, technically active stocks…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post describes a narrow Chinese equity screen for beverage and alcohol import-export companies. It selects stocks whose recent trading range exceeds a threshold and whose opening price lies within a band around the 10-day moving average. The examples…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This stock selection idea screens for shares with a daily high-low range above a threshold, an upward relationship between recent prices and moving averages, trading volume above a stated level, and an opening price above the previous close. The article…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese community post outlines a stock screen combining an upward-trending 30-day moving average, company characteristics, and fund strength ranked from high to low. It presents these as signals of short-term price stability, company or industry…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This Chinese-equity screen selects stocks in the metaverse theme whose volume ratio is above 1.5 and below 6, and that recorded a limit-up event within the previous month. The stated goal is to focus on recent price strength while using trading activity and…

AkcijasCenas impulssCenas izrāviensĶīnas tirgi
SuperMind

This document introduces object-oriented programming in MQL5 as a way to organize trading software around custom types that combine data with behavior. It presents objects as small, self-contained units, each assigned a coherent task, which can then be…

Rīkojumu izpilde
SuperMind

This stock selection idea combines a relative strength index below 65, the product of daily price change and net super-large-order volume being positive, and a price pattern described as rising from a local bottom. The rationale blends technical conditions…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības