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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
WonderTrader
Dokumentu skaits: 14
Alphalens
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 stock-selection idea combines three daily price filters: a range threshold, exclusion of stocks that hit the upper price limit on the previous day, and a current low above the preceding low. The stated rationale is to seek active shares with rising…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This article proposes screening Chinese equities using three kinds of signals: RSI below 65, the product of price change and the net ratio of very large order flow above 1, and year-over-year growth in net profit attributable to parent-company shareholders…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This article describes an A-share stock screen combining turnover, a newly formed KDJ golden cross, and the prior day's actual turnover. Its final rule also requires market capitalization above one billion yuan, current turnover between 3% and 12%, and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document outlines a Chinese A-share stock screen that ranks candidates by volume ratio, filters for prior-day turnover between 3% and 28%, and requires the 9:25 opening change to be below 6%. It interprets the ranking as a way to favor stocks with…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post proposes screening Chinese stocks for a large daily amplitude, a prior-day condition labeled as main-force control, and a current low below the previous day’s low. The rationale is to find volatile stocks with presumed large-player support that…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen combines a daily price range above 1%, market capitalization no greater than 10 billion yuan, positive profitability, and a bullish moving-average signal described as a weekly red bar. The Python example interprets profitability as positive…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection idea combines a daily amplitude threshold above 1% with a weekly positive MACD-style signal, then ranks qualifying stocks by a volume-based heat measure. The article describes the weekly red bar as a short-term upward signal and treats…

AkcijasCenas impulssTehniskie indikatoriTirgus noskaņojums
SuperMind

This screen selects Chinese equities with a daily high-low range above 1%, a low price between 4% and 5% below the previous close, and turnover between 3% and 12%. The author interprets the range as a sign of elevated volatility, the steep decline as a…

AkcijasSvārstīgumsAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

The document presents a Chinese A-share stock screen that selects main board names with turnover between 3% and 12%, a daily gain above 1%, and circulating market capitalization above 10 billion yuan. It provides indicator-formula references and a Python…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document describes a Chinese equity screen that combines daily price range, sustained profitability, and dividend payout history. The initial rule requires amplitude above 1, return on equity above 15% for five consecutive years, and a dividend payout…

AkcijasFaktoru ieguldīšanaRiska pārvaldībaĶīnas tirgi
SuperMind

This document presents a Chinese equity selection rule combining daily price amplitude, a price threshold, and historical revenue growth. The stated conditions are amplitude above 1, closing price below 20, and 2021 revenue more than 1.1 times 2018 revenue.…

AkcijasTehniskie indikatoriĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This document describes a Chinese equity screen using three filters: RSI below 65, 2021 revenue more than 1.1 times 2018 revenue, and a positive 10-day gain below 35%. It proposes selecting the first N qualifying stocks and holding them for a year. The…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-language post outlines a stock screen based on three filters: daily price amplitude above a threshold, circulating market capitalization above a threshold, and prior-day trading activity above a threshold. It frames amplitude as a sign of active…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese-language post describes a daily stock-selection screen that looks for MACD above zero, ranks candidates by market attention, and limits eligible shares to a stated range of circulating market capitalization. It gives a brief rationale: MACD is…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening post describes a rule combining a 14-period RSI below 65, membership in the beverage and alcohol import-export industry category, and a positive daily MACD reading. The author presents the filter as a way to find stocks that may…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening post proposes combining amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and a volume ratio between 1.5 and 6. The rationale is to find volatile shares with active trading while a bearish MACD…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening post describes a proposed selection rule combining price amplitude above 1, exclusion of stocks marked ST, a five-part limit-up method, and first-level bid volume greater than ask volume. It says selection is intended before 10…

AkcijasĶīnas tirgiCenas izrāviensTirgus mikrostruktūra
SuperMind

This post presents an A-share stock selection rule that combines a daily high-low range threshold, a newly formed KDJ crossover, and a close between the Bollinger middle and upper bands. It supplies example implementations in a charting formula language and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an equity screening strategy combining a positive MACD condition, descending money-flow strength, a market-cap ceiling of 10 billion yuan, positive earnings measures, and ROE above 10. Its accompanying Python example…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document presents a preliminary stock-selection screen combining daily price amplitude above a threshold, a positive weekly MACD histogram, and a K indicator reading below a threshold. It frames the combination as a way to find stocks with possible…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-selection rule screens for amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and a stochastic K value below 20. The article frames the range and net-flow measures as signals related to market sentiment and…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection idea combines three signals: ranking shares by volume ratio, requiring large-order net volume to remain above 0.05 for at least three consecutive days, and looking for a shortening negative MACD histogram on a 15-minute chart. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a short-term A-share stock screen combining turnover, market capitalization, profitability, and the price move observed at the market open. It selects shares with turnover between 3% and 12%, market value below 10 billion yuan, no…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori