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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
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 note describes a Chinese equity screen combining circulating market capitalization of at least 10 billion yuan, a prior-day high-to-low ratio above 1, and a limit-up event during 2021. It frames the criteria as a way to find larger, volatile stocks with…

Ķīnas tirgiAkcijasSvārstīgumsCenas impulss
SuperMind

This stock-selection proposal combines metaverse classification, robot-related concept membership, turnover activity, a circulating-market-capitalization ceiling, and a limit on recent price appreciation. The final stated screen requires yesterday’s turnover…

Ķīnas tirgiAkcijasCenas impulssTirgus noskaņojums
SuperMind

This Chinese stock-screening note proposes combining price amplitude, robot-sector membership, and circulating market capitalization. Its final revised rule selects robot-related shares with amplitude above 1% and float capitalization between 10 billion and…

Ķīnas tirgiAkcijasSvārstīgumsTehniskie indikatori
SuperMind

This Chinese stock-selection example screens for shares with daily amplitude above 1, upward-diverging moving averages, and an opening price near the 10-day moving average. The accompanying Python example calculates amplitude relative to the previous close,…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The post describes a premarket stock screen combining a positive MACD reading, a price below the stated threshold, and a prior-day 9:15 matching price at the limit-down level. It frames the conditions as a way to combine a technical signal, a low share…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-language post describes a stock selection screen that combines an RSI threshold below 65, membership in a beverage and alcohol import-export industry category, and a bullish alignment of three moving averages. It gives illustrative indicator…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post describes a stock-selection screen combining three filters: membership in the metaverse theme, positive institutional activity, and return on equity above 15% in each of five consecutive years. It frames the theme as a…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This Chinese stock-selection note combines three conditions: a 14-period RSI below 65, first-level bid volume greater than first-level ask volume, and the KDJ K line below 20. The author presents the rules as a blend of technical readings and order-side…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese stock-selection note describes a screen for companies classified in the metaverse sector. It keeps stocks with a circulating market value above 10 billion yuan and a circulating share count no greater than 5.5 billion. The stated rationale is to…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This stock-selection idea filters shares by turnover, a newly formed KDJ golden cross, and a positive recent return. The article describes the turnover band as three to twelve percent and adds a condition that price be at or above its 20-day moving average…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock screen combines a 14-period RSI below 65 with a daily gain above 1%, main-board listing status, and a prior-day actual turnover rate between 3% and 28%. The article describes turnover as a proxy for investor attention and trading activity,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening example selects shares with MACD above zero, trading volume above 10,000 lots, and an opening price above the prior close. The stated rationale is to find actively traded stocks showing positive momentum. The article includes a…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock screen selects shares with an amplitude above 1, a dividend payout ratio above 25% in 2019, and positive weekly candlesticks in consecutive weeks. The article interprets the price-range condition as a volatility filter, the historical…

AkcijasSvārstīgumsTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese A-share screen combines turnover between 3% and 12%, a reversal or engulfing-style price pattern, and at least one daily gain of 10% or more during the prior 25 trading sessions. The accompanying indicator example adds stochastic K above D and…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post presents an equity screen combining three conditions: a positive price-to-earnings ratio, a 14-period RSI below 65, and a 30-day moving average that is rising. Its example implementation also requires the latest close to be above…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese stock selection screen that filters for a turnover rate between 3% and 12% and a listing year of 2021, then ranks candidates by the current day’s auction amount. It selects up to five names from the top of that ranking. The…

AkcijasĶīnas tirgiTirgus noskaņojums
SuperMind

This note presents a Chinese equity selection rule that combines three conditions: daily amplitude above 1, at least one limit-up session within the prior 25 days, and circulating market capitalization between 5 billion and 10 billion yuan. It includes…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This note describes a simple Chinese equity screen based on price movement and a short-term moving average. It selects stocks with amplitude above 1, a price below 20, and the stock’s average price above its five-day moving average. The article also provides…

AkcijasTehniskie indikatoriSvārstīgumsSekošana tendencei
SuperMind

The document describes a simple Chinese A-share stock screen combining recent position-increase share with circulating market capitalization. It selects stocks whose reported increase for the day exceeds 5% and whose circulating value falls between 5 billion…

AkcijasĶīnas tirgiStatistika
SuperMind

This note describes a historical screen for main-board stocks using three criteria: daily high-to-low range greater than one percent, a date in 2021, and a daily gain greater than one percent. Its stated purpose is to place qualifying shares in a candidate…

Ķīnas tirgiAkcijasSvārstīgumsCenas impulss
SuperMind

This Chinese-language note outlines an equity screen for stocks in the metaverse industry. It combines a newly formed KDJ bullish crossover with conditions intended to identify an emerging uptrend: price above the 60-day and 120-day moving averages, a rising…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas izrāviens
SuperMind

This stock-selection idea screens within the metaverse theme for shares that had a limit-up event during the prior 25 days and whose external-to-internal trading volume ratio exceeds 1.3. It proposes running the screen before 10 a.m. and selecting stocks for…

AkcijasCenas impulssTirgus mikrostruktūraTehniskie indikatori
SuperMind

This Chinese equity screen combines a turnover rate from 3% to 12%, a rising DEA condition, and a ten-day return above zero but below 35%. The article describes moderate turnover as a way to seek active trading without extreme activity, uses rising DEA as a…

AkcijasTehniskie indikatoriCenas impulss