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
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 article argues that divergence and MACD crosses are best interpreted as signs of changing momentum, rather than as automatic buy or sell commands. It describes divergence as evidence of countertrend activity, with the strength of that activity helping…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība
SuperMind

This Chinese stock screening example combines three filters: membership in the metaverse concept group, a closing price above the previous day’s low, and a closing price below 12 yuan. It presents the first condition as a way to focus on a market theme, the…

AkcijasTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
SuperMind

This stock-selection idea screens shares with codes beginning in 60, average turnover between 3% and 12%, and KDJ readings below 20. The article frames the low KDJ values as a possible sign of a decline and potential reversal, and provides a formula…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

The proposed screen selects stocks in the metaverse industry with a stated circulating share float ceiling, then applies a daily candle condition. The article defines its “reversal” pattern as an opening price above the previous close followed by a close…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The document describes a Chinese stock screen combining moderate turnover, at least one limit-up event in a recent lookback window, and a ranking based on net large-order flow. The stated rationale is that turnover approximates trading activity, a recent…

AkcijasĶīnas tirgiTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

This note outlines a stock screen for companies with positive net profit and market capitalization below a stated ceiling, combined with a daily amplitude threshold and a prior-day 9:15 matching-price condition described as limit-down behavior. The article…

AkcijasĶīnas tirgiSvārstīgums
SuperMind

This note describes an equity screen that combines daily price movement with company profitability and a Bollinger Band condition. It seeks stocks with an amplitude above 1, return on equity above 15% for five consecutive years, and a close between the…

AkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The post outlines a Chinese-equity screening rule that combines daily price range, a stock-code prefix beginning with 60, and a recent large upward move. It also suggests sorting qualifying stocks by market capitalization and provides example implementations…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This community post outlines a China A-share stock screen that excludes Beijing-listed companies and selects stocks with turnover between 3% and 12% and a positive but limited recent price gain. It then proposes refining the candidates using net profit…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This Chinese-language post describes an A-share screening idea that combines daily turnover between 3% and 12%, a newly formed KDJ bullish crossover, and a company-type filter. It frames turnover as a liquidity condition and the KDJ signal as a short-term…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese equity selection rule screens for stocks with turnover between 3% and 12%, then requires the product of the day’s percentage price change and net buying flow attributed to very large orders to be positive. Eligible stocks are ranked by…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums
SuperMind

This stock-selection screen filters for turnover between 3% and 12%, circulating market capitalization between 1 and 55 in the stated units, and at least one daily gain of 10% or more during the previous 25 trading days. The post gives both a formula-style…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The proposed equity screen selects stocks with RSI below 65, seven consecutive down sessions, and a 20 day moving average above the 120 day average. The combination looks for a recent pullback within a longer-term upward trend, using the RSI threshold as an…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasSekošana tendencei
SuperMind

The document presents a Chinese stock selection rule combining daily amplitude above 1, a morning-star pattern, and weekly MACD above zero. Its indicator examples add moving-average ordering and other price, volume, and size conditions. The intended…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity screen requiring a position increase above 5%, evidence of large-investor control on the prior day, and a gain below 6% at 9:25. Its rationale is that rising holdings may indicate inflows, institutional ownership may…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines three filters: a daily price range above a stated threshold, the closing price above its five-day moving average, and a dividend payout ratio above 25% for 2019. The article presents the range condition as a way to find stocks…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

This stock-selection idea filters for companies in the metaverse industry, then looks for a rising five-day moving average and a potential start of a strong advance. The proposed rules combine an industry classification with price and volume conditions,…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese equity screening idea combines three signals: today’s position increase share above 5%, the product of daily return and net large-order volume above 0.5, and a shortening MACD histogram green bar on a 15-minute chart. The document interprets the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The strategy selects stocks in the metaverse industry that recorded a limit-up within the prior 25 days and have turnover between 3% and 12%. It calls for screening before 10 a.m. and selecting stocks eligible to trade that day. The cited formula also…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

The document outlines an equity screen combining turnover, circulating market capitalization, and a morning star candlestick pattern. Its stated criteria use a turnover range of 3% to 12%, a circulating share count cap of 5.5 billion shares in the headline,…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

The post describes an equity screen combining company profitability, market capitalization, and a measure of today’s increase in holdings. Its stated conditions include companies without losses and a buying-activity threshold above 5%. The title refers to…

AkcijasĶīnas tirgiStatistika
SuperMind

The document describes a Chinese A-share screening approach for Shenzhen main-board stocks. It selects shares with amplitude above 1, price-to-earnings ratios from 0 to 29.01, price-to-book ratios from 0 to 3.11, market capitalization below 10 billion yuan,…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This strategy selects the ten lowest-priced eligible stocks within the SSE 50 universe, excluding special-treatment, suspended, and delisted stocks. It allows each holding to remain open for up to twenty days and sells a stock if its decline exceeds eight…

AkcijasĶīnas tirgiVēsturisko datu pārbaudeRiska pārvaldība