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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 Chinese-language article outlines a stock screen that combines a metaverse industry classification, a rounded-bottom or arc-shaped pattern, and a ranking by individual-stock attention. Its central idea is to find stocks that match both a thematic…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This Chinese-language post describes a stock-selection screen combining a price-range condition, a recent large daily gain, and weekly MACD above zero. Its intended effect is to find volatile shares with signs of recent strength and a positive technical…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening proposal combines three technical conditions: daily amplitude above 1, weekly MACD above zero, and a 10-day gain greater than zero but below 35 percent. The note presents positive recent performance as evidence of short-term…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note describes a Chinese equity screen combining daily price range, circulating market value, and a weekly moving-average signal. It seeks stocks with an amplitude above 1, a circulating market value above 10 billion yuan, and a weekly close crossing…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This Chinese-language post proposes screening mainland Chinese stocks using a turnover-rate range of 3% to 12%, a positive ten-day gain below 35%, and a prior-day indicator described as main-fund control. Its accompanying Python example applies additional…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This proposed stock screen selects shares whose price is near at least five moving averages, excludes stocks that hit the daily price limit on the previous day, and specifies a 2021 data period. The article interprets clustered averages as a sign of price…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen narrows candidates to shares with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. It also requires a recent limit-up event while excluding stocks that hit the limit on the previous day. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen combines an RSI reading below 65, a positive product of price change and a large-order net-volume measure, and a weekly 5-period moving average crossing above the 10-period average. The intended interpretation is to find stocks…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese equity screening strategy combining daily price range, a reversal pattern, and a prior-day 9:15 auction price at least 10% below its comparison price. It then narrows candidates by market capitalization and recent trading…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This article describes a Chinese-equity screen combining a minimum daily high-low range, relative volume within a specified band, and a positive return over a recent period. It interprets the range as a way to find active stocks and the volume band as a way…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This article outlines a technical screen for Chinese equities using a trading-range threshold, rising lows, and a close above the prior day's low. It then proposes adding valuation and quality filters: price-to-earnings and price-to-book limits, a history of…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This document describes a Chinese stock selection rule combining daily price amplitude with current and prior-day turnover. It selects stocks whose high-to-low amplitude is at least 1%, whose current turnover is above 2% and no more than 9%, and whose…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This stock-selection post proposes a screen based on three conditions: reported position growth above 5%, the ratio of buyer-initiated to seller-initiated volume above 1.3, and a positive but capped return over the previous ten days. The intended…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This Chinese stock-selection post describes a short-term screen combining three conditions: an increase in reported position holdings above 5%, upwardly diverging moving averages, and a gain below 6% at the 9:25 observation. The author frames the holdings…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese stock screen for companies in the metaverse theme. It requires the 30-day moving average to rise relative to the prior session, then ranks qualifying stocks by a measure called fund strength. The provided formula and Python…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document describes a Chinese equity screen combining daily price range, the opening price’s distance from the 10-day moving average, and a history of limit-up sessions. Its example selects stocks with an amplitude above 1, an open within 5% of the moving…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

The document describes a Chinese equity screening rule that combines daily price amplitude, three moving averages crossing in bullish order, and a minimum company size. Its example uses 5-, 10-, and 20-period moving averages, checks that amplitude exceeds…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This screen selects metaverse-related stocks that appeared on the prior day's exchange limit-order-board disclosure and whose current intraday low falls below the previous day's low. The article frames the disclosure as a way to find stocks with recent…

AkcijasĶīnas tirgiTehniskie indikatoriUz notikumiem balstīta tirdzniecība
SuperMind

This stock-selection idea filters for companies associated with the metaverse, a positive institutional-flow measure, and an opening move within a specified band. The article describes the band as a way to avoid unusually large opening swings and provides…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with three and seven consecutive bearish sessions, aiming to identify stocks showing short-term weakness. The article presents the setup as a way to find potentially cheap small-cap stocks after…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This article outlines a short-term Chinese equity screen using RSI below 65, three consecutive declining sessions, exclusion of ST-designated stocks, and a condition related to trading halts during the first ten minutes after the open. It then proposes…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese equity screen combining a 14-period RSI below 65, membership in the beverage and alcohol import-export industry, and a condition involving the previous day’s 9:15 matching price and a limit-down price. It presents the rules…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen combines a daily turnover range of 3% to 12% with a condition that the day’s price change multiplied by net large-order flow is below zero. It also requires year-over-year growth in net profit attributable to parent-company shareholders to…

AkcijasĶīnas tirgiCenas impulssStatistika