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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
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
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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
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Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
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quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
WonderTrader
Dokumentu skaits: 14
Alphalens
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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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 proposed Chinese stock screen filters for daily turnover between 3% and 12%, excludes Beijing-listed A shares, and selects stocks described as being controlled by major holders on the previous day. The article discusses this holder-control signal as a…

AkcijasĶīnas tirgiStatistikaRiska pārvaldība
SuperMind

This Chinese A-share screening idea combines three filters: membership in the beverage and alcohol import-export industry, RSI below 65, and a reversal-candle condition. The accompanying formula and Python example calculate a 14-period RSI and apply the…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

The document describes a Chinese equity screening rule that selects stocks with positive returns below 35% over ten days and prior-day turnover above 60 million yuan, then ranks candidates by capital strength. It presents this as a way to find actively…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

The document describes a Chinese equity screening rule that combines prior-day price range, a maximum share float, and price above a 250-day moving average. It presents the range filter as a way to find more active stocks, the float cap as a small-cap…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This stock selection recipe combines a daily price-range threshold, a minimum level of prior-day turnover, and a signal described as institutional buying. The article frames the range and turnover conditions as ways to find shares with activity and…

AkcijasTirgus mikrostruktūraRiska pārvaldībaĶīnas tirgi
SuperMind

The document outlines a stock screen combining membership in the metaverse concept group, an upward-moving 30-day average, and positive returns. The technical filter is intended to capture improving price direction, while the return condition favors stocks…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document summarizes a macro-factor framework for strategic asset allocation, illustrated with portfolios for endowments, life insurers, and public pension plans. It lays out four stages: derive macro factors from principal components of monthly returns…

Vairāku aktīvu tirdzniecībaFaktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldība
SuperMind

The document describes an equity screen for stocks associated with the metaverse theme, combining a five-day price average condition with a weekly moving-average crossover involving the 30-week average. It presents the approach as a way to identify…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This stock selection rule combines three conditions: RSI below 65, displayed buy-side volume greater than sell-side volume, and a share price below 12. The article frames RSI as a measure of price conditions, the volume comparison as a sentiment signal, and…

AkcijasTehniskie indikatoriTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

This stock screen combines technical conditions with a historical dividend measure. It selects equities with at least five overlapping moving averages, weekly MACD above zero, and a dividend payout ratio above 25% in 2019. The article interprets…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This daily stock screen combines three conditions: MACD above zero, a positive price-to-earnings ratio, and a positive weekly MACD histogram. The post frames the MACD conditions as trend confirmation across daily and weekly horizons, while the valuation…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule screens Chinese equities for companies in the metaverse industry with a tradable float no greater than 5.5 billion shares, then considers the highest prices across the latest two days. The article presents it as a short-term,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

This A-share screening rule combines three conditions: an intraday price range above one percent, a closing price of 18.5 yuan, and prior-day trading activity above the stated threshold of 60 million. It is presented as a way to identify stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share selection method screens for stocks with an intraday high-low range above one percent, excludes names associated with Beijing and several other location terms, and ranks candidates by large-order net volume. The article frames range as a measure…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This A-share stock screen combines a metaverse classification with positive institutional-flow readings and recent consecutive limit-up closes. The rationale is that institutional buying may indicate supportive demand, while repeated limit-ups suggest strong…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a Chinese equity screen that combines prior-day price amplitude above 1%, a free float no larger than 5.5 billion shares, and evidence of beverage or alcohol imports or exports. It explains the intended rationale: seek stocks with notable…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This article compares monthly portfolios formed from the highest- and lowest-volatility stocks in the CSI 300. Each portfolio holds 20 stocks, rebalanced on the first trading day of each month, and the author says the strategies were backtested over…

AkcijasĶīnas tirgiSvārstīgumsVēsturisko datu pārbaude
SuperMind

This post describes a Chinese A-share stock screen that excludes Beijing-listed shares, selects stocks whose 9:25 price gain is below 6%, and ranks candidates by capital or trading-volume strength. It frames the screen as a way to find actively traded shares…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This stock screen combines a turnover band of 3% to 12%, a circulating market value between 1 and 55 hundred million yuan, and a negative MACD reading from two sessions earlier. The post describes the filters as a mix of trading activity, company size, and…

AkcijasTehniskie indikatoriTirgus mikrostruktūraĶīnas tirgi
SuperMind

This proposed stock screen combines a daily amplitude filter, a large single-day gain during the past 25 trading days, and a 15-minute MACD condition in which the negative histogram bars are shortening. The article interprets the criteria as a way to…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This stock-screening rule combines three conditions: daily amplitude above 1%, a positive gain over ten days below 35%, and a rising DEA, the signal line associated with MACD. The article frames the range filter as a way to find volatile shares and the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock screen selects shares with MACD above zero, a price below 12 yuan, and a positive 10-day return below 35%. It combines a trend indicator with a low nominal price constraint and a recent-momentum band, intended to exclude shares with negative or…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share screening example combines three conditions: a positive MACD reading, membership in the beverage and alcohol industry, and a dividend ratio above 25% for 2019. The note also shows a portfolio routine that selects from a large-cap index universe,…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This note describes an A-share screening rule combining daily price range, a fixed closing price, and turnover. It selects stocks with a high-low range above 1%, a close at 18.5 yuan, and turnover between 3% and 12%. The rationale is to find shares showing…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori