Pāriet uz saturu

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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Dokumentu skaits: 45
Binance API docs
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 proposed daily stock screen combines amplitude above a stated threshold, at least two limit-up sessions during the prior 500 days, and a rounded or arc-like price pattern. The article treats amplitude and limit-up frequency as signs of market attention,…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese A-share screening idea combines daily price movement, large-order net volume, and a recent high. It selects stocks with amplitude above the stated threshold, large-order net volume above a threshold for at least three consecutive days, and a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese equity screen combines price amplitude above 1, circulating market value below 10 billion, and exposure to robotics or the metaverse. Its stated logic is to focus on smaller companies associated with emerging technology themes. The…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese equity screen combines daily price amplitude above 1 with large-order net volume above 0.05 for at least three consecutive days, while excluding stocks classified as belonging to the STAR Market. The intended selection is stocks showing both…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-selection approach combines three technical filters: a large daily high-low range, at least one strong daily gain during the recent lookback window, and a rounded price-chart pattern. The article’s stated rationale is to find volatile stocks with…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This Chinese-language post proposes a daily screen for A-share stocks, run before market close. It combines MACD above zero as a trend filter, positive trailing-twelve-month price-to-earnings as a valuation condition, and a pattern the post calls the Kute…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection proposal combines a market capitalization ceiling, positive profitability, a minimum amplitude condition, and a concentration measure described as being below a threshold. Its discussion frames the screen as a mix of volatility, company…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

The proposed stock screen targets Chinese A-shares with turnover between 3% and 12%, a positive product of the day’s percentage change and net amount from very large orders, and a current price at a two-day extreme. The accompanying narrative characterizes…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening idea combines three conditions: a turnover rate between 3% and 12%, appearance on the previous day’s top-trader activity list, and a 15-minute MACD histogram that is contracting. The screen is intended to identify actively…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share selection rule combines market activity, order-book pressure, and recent price strength. It looks for stocks with turnover between 3% and 12%, bid-side volume greater than ask-side volume, and more than two limit-up sessions over the preceding…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, market capitalization below 10 billion yuan, and positive profitability indicators with signs of institutional accumulation. The proposed selection logic also examines buying and selling…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This post outlines a Chinese equity selection idea that ranks stocks by capital strength and filters for a 2021 date reference and a 2019 dividend payout ratio above 25%. It interprets stronger capital inflows as a possible sign of market interest and a high…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This Chinese stock selection post describes a screen for main board shares with RSI below 65 and a daily gain greater than 1%, ranked by stock popularity. It presents the indicators as a way to combine a technical filter, recent price strength, and market…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-selection proposal combines a relative-strength index filter with price movement, large-order net inflows, and rising stochastic-style KDJ readings. The stated screen requires RSI below 65, a positive product of percentage price change and a…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This note describes a Chinese-equity screen for companies classified in the metaverse sector. It selects stocks with relative volume above 1.5 and below 6, alongside a reported measure of today’s position increase above 5%. The author presents these…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document introduces TA-Lib as a technical analysis library and surveys indicator groups used to transform price and volume data. It covers moving averages and bands, momentum oscillators, volume measures, cycle tools, price transformations, volatility…

Tehniskie indikatoriStatistikaSvārstīgumsCenas impulss
SuperMind

This document describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, a positive ten-day gain below 35%, and an association with the metaverse theme. It presents the filters as a way to combine trading activity, recent price…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share stock-selection rule combines amplitude above 1, a prior-day condition intended to exclude limit-up stocks, and a weekly five-period moving average crossing above the ten-period average. The article presents amplitude as a measure of short-term…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This A-share screen combines three conditions: price amplitude above 1, turnover between 2% and 9%, and a weekly five-period moving average crossing above the ten-period average. The article frames amplitude and turnover as measures of price activity and…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This A-share screening approach selects stocks with a 14-period RSI below 65, no limit-up move on the previous day, and a gain below 6% at the 9:25 morning snapshot. The document presents these conditions as a way to find stocks with moderate momentum while…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The screen selects stocks with turnover between 3% and 12% after seven consecutive daily closes below the prior close, provided the latest close is above the previous day's low. The stated logic combines a trading-activity filter with a prolonged decline and…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori