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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
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
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 post describes an equity screening rule that selects stocks with MACD above zero, a short moving average above a longer one, and at least one large daily gain during a recent lookback. It also gives example indicator definitions, a…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This article describes a Chinese equity screen that selects stocks with amplitude above 1, current volume above 10,000 lots, an opening price above the previous close, and an industry classification other than the STAR Market. It presents these conditions as…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

This Chinese equity screening idea selects stocks in the metaverse theme using prior-day turnover above 8%, an opening-auction price move below 6% at 9:25, and— in the final stated version—positive cumulative gains over the most recent two days. The article…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock screen combines three conditions: prior-day price amplitude above 1%, a prior-day appearance on the market’s top-trading list with buying value greater than selling value, and revenue in 2021 more than 1.1 times its 2018 level. The author presents…

Ķīnas tirgiAkcijasCenas impulssUz notikumiem balstīta tirdzniecība
SuperMind

This Chinese-language post describes a daily stock screen that looks for MACD above zero and RSI below 65, then ranks candidates by individual stock heat, a measure of market attention. It presents the screen as a way to find stocks with positive trend…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This Chinese stock screen focuses on the metaverse industry and combines an early-session gain below 6% with a turnover range of 3% to 12%. The post frames the rules as a way to focus on short-term candidates while accounting for liquidity through turnover.…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese equity screening example selects stocks in the metaverse industry with a volume ratio above 1.5 and below 6, a nonempty name for an outstanding convertible bond, and, in its final stated rules, market capitalization below 5 billion yuan. The…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese stock screen combines a 14-period RSI below 65 with bid-side quantity greater than ask-side quantity, current volume above 10,000 lots, and an opening price above the previous close. The article presents the conditions as a way to find stocks…

AkcijasTehniskie indikatoriTirgus mikrostruktūraCenas impulss
SuperMind

These notes summarize a practical framework for developing an independent quantitative trading operation. They cover choosing strategies that fit a trader’s capital, skills, time, and income goals; screening ideas with benchmark comparisons, Sharpe ratio,…

Vēsturisko datu pārbaudeRiska pārvaldībaPozīcijas apjoma noteikšanaAtgriešanās pie vidējās vērtības
SuperMind

This note proposes screening stocks for amplitude above 1, a shortening negative MACD histogram on a 15-minute interval, and simultaneous bullish crosses across moving averages of 5, 10, 20, and 60 periods. The combined conditions are intended to identify…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note describes a Chinese equity screen combining average turnover between 3% and 12%, a Shanghai listing code beginning with 60, and a reversal pattern. It frames turnover as a liquidity filter and the reversal condition as a way to find potential trend…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This stock screen combines three conditions: a minimum price-range measure, a closing price below a specified ceiling, and a 30-day moving average that is rising. The document frames the range and price conditions as filters for stocks with a particular…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This stock-selection rule combines a daily price-range condition with MACD trend filters across weekly and daily data. It seeks stocks whose weekly MACD is above zero and above its prior signal-line value, while daily MACD is also positive. The accompanying…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This report summary examines whether Chinese public mutual funds’ past risk-adjusted performance predicts future performance, with fund selection and fund-of-funds investing as the motivation. It evaluates managers using alpha from several asset-pricing…

StatistikaFaktoru ieguldīšanaCenas impulssPortfeļa veidošana
SuperMind

This note describes a short-term China A-share screen that selects stocks classified in the metaverse sector, appearing on the prior day’s trading-activity list, and posting a positive daily return. It gives equivalent screening conditions in a formula and…

AkcijasCenas impulssĶīnas tirgiTehniskie indikatori
SuperMind

This proposed equity screen focuses on stocks in the metaverse industry and looks for a bullish MACD crossover alongside yesterday's trading value exceeding sixty million. The article presents the combination as a way to pair a technical signal with evidence…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This stock screen combines three conditions: daily price amplitude above one percent, turnover between two and nine percent, and a KDJ K-line reading below twenty. The article interprets the filters as seeking stocks with noticeable price movement and…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

This Chinese equity screen combines a minimum daily price range, exclusion of ST-designated stocks, a five-day closing-high condition, and a name-based filter for the metaverse theme. The accompanying example computes a range measure from the day’s high and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share stock screen combines a price-amplitude threshold, appearance on the previous day's top-trader list, and simultaneous bullish crossover signals. The examples use moving averages, MACD, and KDJ to represent the technical signals, then intersect…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This review describes a framework for separating portfolio returns into fundamental growth and changes in valuation. It applies the decomposition to value, momentum, quality, and a combined value-quality factor, using long-short portfolios formed from U.S.…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaStatistika
SuperMind

This A-share screening rule combines a daily price-range threshold, the presence of an outstanding convertible bond name, and a weekly bullish-bar condition. The accompanying formula uses a high-low range calculation, a bond-name check, and moving-average…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This A-share stock selection rule looks for a positive MACD reading, a short-term upward moving-average condition, and more than two limit-up days within a ten-day window. The accompanying explanation interprets positive MACD and rising averages as signs of…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

The proposed stock screen combines daily price amplitude, a listing-age requirement, and a condition described as evidence of dominant-player control on the prior day. The accompanying rationale treats larger movement as a sign of activity, a longer listing…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese A-share screening proposal combines a positive MACD reading, upward divergence of short moving averages, positive price change, and super-large-order net flow. It also proposes requiring a stock’s circulating share count to meet or exceed its…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori