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 Chinese stock selection proposal screens for stocks with amplitude above 1, signs of major-investor control on the previous day, market capitalization below 10 billion yuan, and no losses. It presents volatility as a way to find active shares, the…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This example describes a stock screen combining membership in the metaverse theme, a prior-day closing price at or above the 250-day moving average, and a stock code beginning with 60. It frames the long-term average as a price-trend filter and the code…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This Chinese-language example proposes screening stocks in the metaverse theme using two conditions: price above its five-day moving average and a high rank for net large-order volume. The moving-average condition selects stocks trading above a short-term…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed equity screen selects stocks with an amplitude above 1, a dividend payout ratio above 25% for 2019, and a positive daily MACD reading. The document associates the range condition with volatility, the payout condition with company stability, and…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

The document proposes screening Chinese stocks by combining three conditions: at least five moving averages are said to converge near the closing price, yesterday’s turnover is above its recent average, and the stock is from 2021. It presents moving averages…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This proposed screen selects stocks with a daily high-low range above a threshold, excludes Beijing-listed A-shares, and requires the close to lie below the Bollinger upper band but above its middle band. The article gives example indicator and Python…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

This stock screen combines three conditions: the price range exceeds an ATR-based threshold, the stock has recorded at least one daily gain of 10% or more in the past 25 trading days, and its 10-day return is above zero but below 35%. The article provides…

AkcijasCenas impulssSvārstīgumsTehniskie indikatori
SuperMind

The post presents a technical stock screen requiring daily amplitude above 1%, at least two limit-up events within a 500-day window, and a current close above the previous day's low. It gives indicator-style expressions for those conditions and proposes…

AkcijasTehniskie indikatoriCenas izrāviensRiska pārvaldība
SuperMind

The proposed equity screen combines daily amplitude above 1, a maximum daily decline between 4% and 5%, and a Morning Star reversal pattern. The explanation treats amplitude as a volatility measure, the decline as a possible reversal signal, and the…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
SuperMind

The document presents an equity screen combining daily amplitude above 1, a rounded price shape, and previous-day turnover above 8%. It says the amplitude condition is intended to find shares with meaningful trading activity but limited price fluctuation,…

AkcijasTehniskie indikatoriStatistika
SuperMind

This short-term A-share screen selects stocks with turnover between 3% and 12%, a positive ten-day gain below 35%, and a current daily low below the previous day’s low. The article describes the combination as a way to identify shares with recent strength…

AkcijasAtgriešanās pie vidējās vērtībasCenas impulssTehniskie indikatori
SuperMind

This stock-selection proposal combines three filters: membership in the metaverse theme, a positive institutional-flow measure, and at least one limit-up event during the prior month. It presents the screen as a way to find thematic shares showing both…

AkcijasCenas impulssCenas izrāviensĶīnas tirgi
SuperMind

This A-share screening proposal focuses on companies classified in the metaverse theme, with circulating share count no greater than 5.5 billion and at least two limit-up sessions during the prior 500 trading days. The article frames the recent limit-up…

AkcijasĶīnas tirgiCenas impulssRiska pārvaldība
SuperMind

This document describes a MetaTrader indicator that summarizes trend direction across nine chart periods, from one minute through monthly. It combines readings from the Stochastic oscillator, RSI, and Commodity Channel Index, displaying the directions…

Tehniskie indikatoriValūtu tirgusVairāku aktīvu tirdzniecība
SuperMind

This note describes a daily A-share screening rule applied at the 9:25 opening auction. It selects stocks whose MACD is above zero, whose price-to-earnings ratio is positive, and whose opening price is less than 6% above the prior close. The article…

AkcijasTehniskie indikatoriĶīnas tirgiCenas impulss
SuperMind

This Chinese equity selection rule looks for stocks with a stated price range greater than one, that did not close at the daily price limit on the previous day, and that show simultaneous bullish technical crossovers. The formula reference mentions a short…

AkcijasTehniskie indikatoriCenas impulssCenas izrāviens
SuperMind

This Chinese equity screen combines three filters: membership in the metaverse concept group, an upward-moving 30-day moving average, and a stated circulating market capitalization band of 50 to 100 hundred million yuan. The article includes example formula…

AkcijasTehniskie indikatoriSekošana tendenceiPozīcijas apjoma noteikšana
SuperMind

This Chinese equity screen selects stocks whose MACD is above zero, whose best bid volume exceeds best ask volume, and whose return over the recent ten days is positive but below 35%. The article gives a basic implementation outline that scans listed shares,…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This post proposes a Chinese equity screening rule combining three filters: daily price amplitude above one, a three-session limit-up streak as of the previous day, and circulating market value between 5 and 10 billion yuan. It characterizes the screen as…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
SuperMind

This Chinese equity screen combines a positive MACD reading with a rising DEA signal line and exclusions based on company type. Its formula reference tests MACD against zero and requires a crossover above the signal line between the prior and current…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The post proposes a Chinese equity screen combining moving-average overlap, positive price-to-earnings ratios, and repeated daily limit-up moves over a recent window. It interprets several overlapping averages as evidence of price stability or trend,…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The post proposes selecting Chinese stocks with turnover between 3% and 12%, greater displayed buy-side than sell-side volume at the best quote, and a positive daily MACD histogram. It frames these filters as a combination of liquidity, order-flow sentiment,…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screening note selects companies classified in the metaverse theme, with a volume ratio between stated bounds and a closing price between the Bollinger Band middle and upper lines. The final screen also applies a market-cap ceiling. The…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums