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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
Dokumentu skaits: 20,364
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
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
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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
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
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Binance API docs
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
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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 proposes screening Chinese stocks for an RSI below 65, year-over-year net profit growth above 20% and up to 100%, and more than two limit-up days over a recent 10-day period. Its rationale combines a technical condition, a profitability-growth…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This document describes a Chinese equity selection rule combining daily amplitude above 1, a rounded or arc-like price shape, and a Morning Star candlestick pattern. It explains the pattern as a possible sign of a rebound after a market decline, while…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This Chinese stock-selection proposal combines three signals: today’s position-increase share above 5%, a weekly five-period moving average crossing above the ten-period average, and more than two limit-up sessions in the last ten days. The accompanying…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This Chinese A-share screening idea selects stocks with turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and market capitalization above 200 million. The accompanying discussion frames these conditions as a way to find stocks…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock screening strategy focuses on companies in the metaverse industry. It selects stocks when the KDJ indicator forms a fresh bullish crossover and the current day’s low is below the previous day’s low, seeking an apparent pullback alongside a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese-equity screen requiring a reported increase in holdings above 5%, float market value between 5 billion and 10 billion yuan, and a 9:25 opening gain below 6%. The post interprets the net-buying measure as possible buying…

AkcijasĶīnas tirgiTirgus noskaņojumsRiska pārvaldība
SuperMind

This document presents a Chinese-equity screening idea intended to find stocks that may rebound after a constrained prior session. The conditions combine prior-day amplitude above 1%, an opening price near the 10-day moving average, and a prior-day 9:15…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

Recursive indicators depend on preceding values, so their outputs can change when calculations begin with different amounts of historical data. A backtest may use a long requested date range, while a live or dry run may have fewer candles available from the…

Vēsturisko datu pārbaudeTehniskie indikatoriStatistika
SuperMind

This proposed Chinese-equity screen combines three conditions: at least five moving averages are described as overlapping, the stock’s quoted gain at 9:25 is below 6%, and its return over ten days is positive but below 35%. The rationale is to seek price…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock screen combines four conditions: daily high-to-low amplitude of at least 1%, market capitalization no greater than 10 billion yuan, positive net profit, and an intraday low between 4% and 5% below the open. The description frames the decline as a…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasRiska pārvaldība
SuperMind

The post describes a stock screen combining a daily price condition with a profitability filter: select stocks whose intraday high-to-low range exceeds a stated threshold, whose current low is below the previous day’s low, and whose return on equity has…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This A-share screening idea combines a short-interval momentum signal with a reported capital-flow measure and company classification. It looks for a 15-minute MACD histogram whose negative bars are shortening, which the article interprets as potentially…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This A-share screening proposal selects companies with market capitalization no greater than 10 billion yuan and no reported losses, then ranks them by capital-flow strength. The article frames the small-cap filter as a way to reduce the influence of market…

AkcijasFaktoru ieguldīšanaĶīnas tirgiRiska pārvaldība
SuperMind

This A-share screening idea combines intraday price movement, listing status, recent price highs, and company size. It selects stocks with a stated amplitude above 1, excludes names containing the ST designation, requires selection before 10:00, and filters…

AkcijasCenas izrāviensTehniskie indikatoriĶīnas tirgi
SuperMind

This post describes a simple stock selection screen combining a technical condition with valuation and recent price movement. It selects stocks with RSI below 65, positive price-to-earnings ratios, and a 10-day gain greater than zero but below 35%. The…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This Chinese equity selection rule screens for stocks with turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a condition based on yesterday's turnover multiplied by the ratio of today's opening-auction volume to…

AkcijasĶīnas tirgiCenas izrāviensCenas impulss
SuperMind

This post describes a Chinese equity screen that selects stocks with daily amplitude above 1%, excludes stocks that closed at the daily limit-up on the previous session, and requires circulating market capitalization above 10 billion yuan. It defines…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This note presents an A-share stock screen that combines daily price amplitude, a specified closing price, and year-over-year growth in net profit attributable to parent-company shareholders. The stated selection criteria are amplitude above 1%, a closing…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This note describes an A-share screen for beverage and alcohol related companies. It selects stocks with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan, using industry classifications to identify the target…

AkcijasĶīnas tirgiTirgus mikrostruktūraVēsturisko datu pārbaude
SuperMind

This A-share screening idea combines a price amplitude above 1%, a prior-day condition described as institutional control, and a positive weekly WVAD signal. The post interprets these as signs of active trading, large-investor attention, and buying pressure.…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This A-share stock screen combines three technical conditions: daily price range above 1%, a positive but sub-35% return over ten days, and turnover between 3% and 12%. The rationale is to find stocks with noticeable movement and recent gains while avoiding…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed equity screen selects stocks with a large daily trading range, at least two limit-up events over a 500-day lookback, and at least one daily gain of 10% or more during the latest 25 trading days. The post provides formula sketches and a Python…

AkcijasCenas impulssCenas izrāviensTehniskie indikatori
SuperMind

This stock screen combines a sector filter for metaverse-related companies with a positive return condition and a closing price between the middle and upper Bollinger Bands. The cited indicator uses a 20-period window and two standard deviations. The…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi