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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 post proposes a Chinese equity screen combining turnover between 3% and 12%, membership in the beverage and alcohol import-export category, and a recent three-session limit-up pattern. It presents turnover as a measure of trading activity, the industry…

AkcijasCenas impulssCenas izrāviensTehniskie indikatori
SuperMind

This Chinese-language post proposes screening stocks for amplitude above 1, simultaneous bullish crossovers among three moving averages, and an upward-trending 30-day average. It frames the criteria as combining price movement, technical signals, and a…

AkcijasTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
SuperMind

This stock screen targets companies classified in the metaverse theme that recorded at least one limit-up event within the prior 25 days, while excluding Beijing-listed A-shares. The post presents this as a way to identify candidates with potential short- to…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
SuperMind

This stock-selection example combines a relative strength index below 65 with a rise in current volume relative to the prior session, then applies a 2021 date condition. The post frames the RSI threshold as identifying weaker stocks and the volume condition…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a daily stock screen for companies classified in the metaverse industry. It selects stocks with a newly formed KDJ bullish crossover and a positive price-to-earnings ratio, then limits candidates to actively trading stocks identified…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document outlines a Chinese A-share stock screen that combines RSI below 65, an external-to-internal trade ratio above 1.3, and recent consecutive limit-up activity. It interprets the RSI threshold as avoiding an overbought condition, the trade ratio as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post outlines a Chinese equities screen that selects stocks with a stated amplitude above 1, a price below 20, and positive net buying attributed to major participants during the opening auction. It provides example indicator and Python-style…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This post describes a Chinese equities screening idea intended for use before 10 a.m. It combines a price ceiling below 20, a minimum amplitude threshold, exclusion of stocks marked ST, and a five-part limit-up method. The post also offers example formulas…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese stock selection proposal combines three filters: today’s increase in a stock’s position or holding share must exceed 5%, weekly MACD must be above zero, and the ten-day return must be positive but below 35%. The accompanying rationale treats the…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document describes a daily pre-market A-share screening rule that selects stocks with MACD above zero, a share price below a stated ceiling, and positive institutional-flow readings. The approach combines a technical momentum condition with a price…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

The document outlines a proposed screen for Chinese equities that combines small market capitalization, profitability, moving average alignment, and recent limit-up activity. Its initial description calls for at least five overlapping moving averages,…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post describes a Chinese stock screen requiring turnover between 3% and 12%, at least one limit-up event within a recent 25-day window, and at least one daily gain of 10% or more during the latest 25 trading days. It presents the conditions as a way to…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post proposes screening stocks by amplitude above a threshold, a positive weekly histogram condition, and an opening price near the 10-day moving average. It frames these filters as a way to combine price fluctuation with short-term…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a Chinese equity screen for stocks in the metaverse industry that recorded at least one limit-up during the prior 25 days, excluding stocks on the STAR Market. It specifies screening before 10 a.m. for that day's candidates and…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
SuperMind

This article proposes screening Chinese stocks for RSI below 65, buy-side displayed volume greater than sell-side volume, and a positive product of the stock’s price change and net volume attributed to very large orders. The intended idea is to combine a…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This article outlines a stock screen using three signals: RSI below 65, displayed buy-side volume greater than sell-side volume, and a positive ten-day price change capped below 35%. It frames the combination as a way to consider recent price behavior and…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus noskaņojums
SuperMind

This article describes a Chinese main-board stock screen combining an RSI reading below 65, a daily gain above 1%, and relative volume bounded between 1.5 and 6. It presents the conditions as a way to find shares with positive short-term movement and…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This A-share screening rule combines three technical filters: a 14-period RSI below 65, MACD above zero, and a 10-day price gain greater than zero but below 35%. The document explains these as ways to find stocks with positive short-term performance while…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed equity screen combines three conditions: intraday amplitude above one percent, a K-line value below 20, and a nonempty field for an outstanding convertible bond. The text interprets the range as evidence of volatility, the low K-line reading as…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This Chinese stock-screening proposal targets companies in the metaverse industry. It selects stocks whose opening prices are near the ten-day moving average and combines that condition with auction-period buying activity attributed to large and extra-large…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screening idea ranks shares by a large-order net flow measure, from strongest to weakest, and combines that ranking with a rising 30-day moving average. The intended logic is to favor stocks showing both stronger measured fund inflows and an…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post outlines a stock screen combining three signals: ranking stocks by relative volume, requiring the 20-day moving average to be above the 120-day moving average, and looking for a shortening negative MACD histogram on a 15-minute…

AkcijasTehniskie indikatoriCenas impulss