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
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 rule screens for shares with price amplitude above 1%, codes beginning with 60, and a MACD value below zero two sessions earlier. The article explains the amplitude condition as a way to seek volatile stocks and uses MACD as a lagging…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The document outlines a short-term stock selection screen combining price movement, consecutive limit-up sessions, and a KDJ bullish crossover. It first proposes filtering for amplitude above 1 and stocks that had three consecutive limit-ups the prior day,…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The article outlines a Chinese equity screening rule: select stocks with turnover between 3% and 12%, seven consecutive down sessions, and a money-flow ranking that favors stronger readings. It presents the setup as a search for possible rebounds after a…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This stock-selection idea combines a positive MACD reading with an upward-moving-average condition and a rounded price pattern. The article interprets these signals as evidence of an existing upward trend that might continue. It sketches indicator formulas…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This A-share screening approach combines trading activity, recent price movement, and a sustained profitability condition. It selects stocks with turnover between 3% and 12%, a positive 10-day gain below 35%, and return on equity above 15% in each of the…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This post outlines a stock-selection rule for Chinese equities that combines membership in the metaverse theme, positive net buying by major participants during the opening auction, and a company-type condition. Its accompanying explanation presents thematic…

AkcijasĶīnas tirgiTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

This document describes an A-share stock screen that combines a positive MACD reading, a share price below 12 yuan, and a weekly MACD above zero. It says the screen runs before the market opens each trading day. The intended idea is to combine a shorter-term…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed Chinese equity screen combines a relative strength index below 65, circulating market value between 5 billion and 10 billion yuan, and weekly MACD above zero. The article then adds a price-to-earnings ceiling of 40. Its accompanying Python…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post describes a stock-selection screen that combines a price-amplitude threshold, three simultaneous moving-average crossovers, and a positive return on the current day. The stated rationale is to find stocks showing short-term…

AkcijasTehniskie indikatoriCenas impulssCenas izrāviens
SuperMind

This Chinese stock-screening post combines three conditions: an RSI below 65, current volume more than 5% above the prior session, and more than two limit-up days within the past ten days. The rationale is that a moderate RSI may leave room for a rebound,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post outlines a Chinese A-share stock screen using two ranked conditions: a high volume ratio and the gap between the previous day’s limit-down price and closing price. It says to select the top 100 stocks by each measure and refers to a period…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese equity screening note selects stocks using three stated conditions: amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and turnover between 3% and 12%. It presents the crossover as a trend signal and…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This note describes a short-term Chinese equity screen using three conditions: daily price amplitude above 1, no limit-up close on the prior day, and the stock’s average price above its five-day moving average. It frames the screen as a way to find stocks…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post proposes selecting stocks whose price amplitude exceeds one percent and that appeared on the previous day’s trading leaderboard, then ranking candidates by individual stock popularity. It treats large recent movement as evidence of short-term…

AkcijasCenas impulssSvārstīgumsĶīnas tirgi
SuperMind

This document describes a screen for main-board stocks that combines MACD above zero, positive price-to-earnings ratio, and a daily price gain greater than one percent. It frames MACD as a trend filter, positive P/E as a basic valuation condition, and the…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This article proposes a Chinese equity screening rule combining three conditions: daily price amplitude above 1, prior-day actual turnover between 3% and 28%, and displayed best bid volume greater than best ask volume. It interprets the larger bid queue as a…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-selection screen targets Chinese metaverse-sector companies with share codes beginning with 60. It requires a volume ratio above 1.5 and below 6, and the final stated rules also include a market capitalization above 1 billion yuan. The article…

AkcijasĶīnas tirgiCenas impulssRiska pārvaldība
SuperMind

The document presents a Chinese equities screen for stocks classified in the metaverse industry. It seeks prices near the 10-day moving average and a KDJ oscillator reading below 20, interpreting the low oscillator value as a sign of weak sentiment. It gives…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This stock-selection note proposes screening for shares with price amplitude above one, a listing age greater than a year, and a listing year of 2021. The rationale offered is that newer listings may attract more market attention and could have stronger…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

The document outlines a weekly stock-selection screen that combines three filters: a five-period amplitude measure above one, institutional participation above 30, and weekly MACD above zero using standard 12, 26, and 9 settings. Stocks meeting all…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This document describes an A-share screening rule combining turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a shortening green histogram on a 15-minute MACD. It frames the conditions as a technical screen for candidate…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

This stock screen combines three technical conditions: daily price range relative to the previous close exceeds a threshold, weekly MACD is above zero, and at least one daily gain of 10% or more occurred during the latest 25 trading days. The stated…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a stock selection screen combining three conditions: price amplitude above a stated threshold, an upward spread in short-term moving averages, and membership in the metaverse theme. The proposed rationale is to target shares with recent…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post outlines an equity screening rule that ranks stocks by capital strength, keeps the top 100, looks for simultaneous bullish crossovers among three technical indicators, and then restricts candidates to those with a positive 10-day…

AkcijasCenas impulssTehniskie indikatoriFaktoru ieguldīšana