Praleisti ir pereiti prie turinio

Žinių biblioteka

Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.

Quant Q&A
20,364 dokumentų
SuperMind
12,226 dokumentų
OKX Learn
8,431 dokumentų
Strategy library
7,910 dokumentų
MQL5 code base
7,090 dokumentų
BigQuant
3,481 dokumentų
Bitget Academy
3,298 dokumentų
MQL5 articles
3,012 dokumentų
TradingView scripts
1,976 dokumentų
ProRealCode
1,507 dokumentų
Deribit Insights
1,232 dokumentų
Machine Learning for Trading
1,124 dokumentų
arXiv papers
1,033 dokumentų
Amberdata research
766 dokumentų
FMZ forum
682 dokumentų
FMZ digest
662 dokumentų
vn.py community
560 dokumentų
QuantInsti blog
511 dokumentų
Galaxy Research
340 dokumentų
QuantStart
246 dokumentų
Stratmill research code
219 dokumentų
Robot Wealth
195 dokumentų
NautilusTrader
191 dokumentų
Hummingbot docs
181 dokumentų
Paradigm research
175 dokumentų
Lumibot
164 dokumentų
Kraken Learn
163 dokumentų
Kiekybinės prekybos kursų biblioteka
157 dokumentų
OctoBot
152 dokumentų
Cryptohopper blog
144 dokumentų
Systematic trading blog (Rob Carver)
132 dokumentų
Qlib
116 dokumentų
TqSdk
86 dokumentų
Quantpedia
86 dokumentų
Hyperliquid docs
79 dokumentų
Freqtrade
68 dokumentų
Hudson & Thames
62 dokumentų
Awesome Systematic Trading
61 dokumentų
backtrader
54 dokumentų
vn.py
50 dokumentų
Binance API docs
45 dokumentų
Quantopian paskaitos
45 dokumentų
FMZ guides
38 dokumentų
pysystemtrade
34 dokumentų
Freqtrade docs
32 dokumentų
quant-trading
31 dokumentų
FinRL
28 dokumentų
Zipline
22 dokumentų
FMZ live strategies
21 dokumentų
Jesse
17 dokumentų
pyfolio
16 dokumentų
Alphalens
14 dokumentų
WonderTrader
14 dokumentų
backtesting.py
11 dokumentų
Technical Analysis
9 dokumentų
QTPyLib
8 dokumentų
QuantRocket
7 dokumentų
Lumibot strategies
7 dokumentų
Awesome Quant
1 dokumentų

Ieškoti bibliotekoje

12,226 dokumentų

SuperMind

This Chinese-language forum exchange discusses excluding special-treatment, suspended, and delisted shares from a stock universe. A reply provides two approaches based on historical name-change records: retrieve securities available around the relevant date,…

AkcijosKinijos rinkosRizikos valdymasPavedimų vykdymas
SuperMind

This stock-selection concept combines recent limit-up activity with moving-average behavior. It proposes finding shares where at least five moving averages converge, where there was a limit-up event within the preceding 25 days, and where limit-up events…

AkcijosKinijos rinkosImpulsasTechniniai rodikliai
SuperMind

This screening concept combines three conditions: intraday range greater than 1, at least one daily gain of 10% or more during the preceding 25 trading days, and a current gain between -5% and 2.6%. It aims to find shares that have shown a sharp prior move…

AkcijosKinijos rinkosKintamumasImpulsas
SuperMind

This stock-screening idea targets mainboard equities with turnover between 3% and 12%, a daily gain above 1%, and large-order net volume above 0.05 for at least three consecutive days. It combines trading activity, recent price strength, and a measure of…

AkcijosKinijos rinkosImpulsasRinkos mikrostruktūra
SuperMind

This proposed Chinese equity screen selects stocks with amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and a stated increase in position holding above 5% for the day. The accompanying rationale combines a…

Kinijos rinkosAkcijosTechniniai rodikliaiImpulsas
SuperMind

This stock screen requires turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%, and a share price above its 250-day moving average. It combines a trading-activity range and a…

Kinijos rinkosAkcijosImpulsasTechniniai rodikliai
SuperMind

This stock-selection proposal combines three filters: membership in the metaverse sector, positive institutional activity, and a positive share-price return during 2021. It frames institutional buying as a potentially useful signal and past gains as evidence…

Kinijos rinkosAkcijosImpulsasRinkos nuotaikos
SuperMind

This post proposes a rules-based screen for Chinese A-share stocks in a designated metaverse sector. It combines a recent trading-activity condition with a profitability filter requiring return on equity above a stated threshold across five consecutive…

AkcijosInvestavimas pagal veiksniusImpulsasKinijos rinkos
SuperMind

This weekly report compares machine-learning stock-selection portfolios across several Chinese equity universes: broad-market stocks without industry neutralization, broad-market selections neutralized to the CSI 300 or CSI 500 industries, and selections…

Kinijos rinkosAkcijosMašininis mokymasisIstorinis testavimas
SuperMind

This stock screen combines a daily turnover range of 3% to 12%, a reversal or engulfing-style candle condition, and a stochastic K reading at or below 20. The article presents screening logic and sample indicator calculations: it derives ratios from the…

Kinijos rinkosAkcijosTechniniai rodikliaiGrįžimas prie vidurkio
SuperMind

This proposed stock screen selects shares with an amplitude above 1, three moving averages in a bullish ordering, and a ratio of active buying volume to active selling volume above a threshold. The article names amplitude and moving-average indicators and…

AkcijosKinijos rinkosTechniniai rodikliaiRinkos mikrostruktūra
SuperMind

This proposed A-share stock screen filters for companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses, then selects stocks with daily returns from −5% to 2.6%. The accompanying formula and Python example…

AkcijosKinijos rinkosInvestavimas pagal veiksniusIstorinis testavimas
SuperMind

This note outlines a Chinese equity screen that combines a minimum listing age, an amplitude condition, and return on equity above a threshold across five consecutive years. It explains ROE as a measure of profitability and capital use, and includes an…

AkcijosKinijos rinkosInvestavimas pagal veiksnius
SuperMind

This note describes a Chinese equity screen for companies in the metaverse theme, with a minimum floating market capitalization and price and valuation limits. Its final version adds a price-to-earnings threshold to the theme, capitalization, and low…

AkcijosKinijos rinkosInvestavimas pagal veiksnius
SuperMind

The document proposes screening Chinese stocks for a turnover rate between 3% and 12%, a ten-day gain above zero and below 35%, and a listing age greater than one year. It says to run the screen before 10 a.m. The stated rationale is to combine trading…

AkcijosImpulsasKinijos rinkosTechniniai rodikliai
SuperMind

The document describes a short-term Chinese stock screen combining price range, recent trading activity, current volume, and a positive opening gap. Its stated criteria are amplitude above one, previous-day actual turnover between 3% and 28%, current volume…

AkcijosTechniniai rodikliaiKinijos rinkosImpulsas
SuperMind

The post proposes a stock screen combining a daily high-low range threshold, rising price lows, and return on equity above 15% for five consecutive years. Its rationale is to pair a technical sign of improving price support with a record of strong…

AkcijosKinijos rinkosInvestavimas pagal veiksniusTechniniai rodikliai
SuperMind

This equity screen combines a daily turnover range of 3% to 12%, year-over-year net profit growth greater than 20% and no more than 100%, and a candlestick pattern described as a morning star. The post presents formula and Python examples for applying these…

AkcijosKinijos rinkosTechniniai rodikliaiRizikos valdymas
SuperMind

This stock screen combines membership in the metaverse industry with a positive return condition and profit growth during 2021. Its formula examples express the return filter as the latest close exceeding the prior close, and compare net profit with its…

AkcijosKinijos rinkosImpulsas
SuperMind

This post describes an A-share stock screen combining three conditions: a measure of the day’s position increase above a threshold, three consecutive sessions with falling closing prices, and a dividend ratio above a threshold for a specified past year. It…

AkcijosKinijos rinkosImpulsasInvestavimas pagal veiksnius
SuperMind

This Chinese equity screening example selects stocks whose daily high-low range exceeds 1% of the previous close, requires at least two prior limit-up events over a 500-day lookback, and ranks qualifying names by the current day’s opening-auction amount,…

AkcijosTechniniai rodikliaiPramušimasKinijos rinkos
SuperMind

This Chinese stock-screening example ranks companies by capital-flow strength and combines that ranking with a historical dividend payout filter and revenue growth between 2018 and 2021. The initial criteria use a payout ratio above 25% and revenue in 2021…

AkcijosInvestavimas pagal veiksniusKinijos rinkosIstorinis testavimas
SuperMind

This proposed Chinese equity screen combines daily amplitude above 1 with a scaled activity measure: prior-day turnover multiplied by the ratio of current opening-auction volume to prior-day volume, constrained to a stated range of 0.5 to 2. The original…

AkcijosKinijos rinkosTechniniai rodikliaiKintamumas