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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
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 technical stock screen looks for a daily high-low range above one percent, a weekly MACD above zero, and a newly formed bullish KDJ crossover. The conditions combine a measure of price movement, a broader trend filter, and a timing signal. The document…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-selection method combines positive MACD readings with a qualitative screen for favorable company characteristics. It treats a positive MACD as a sign of expansion and a positive weekly MACD as evidence of an overall upward trend. The accompanying…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This document proposes a Chinese stock screen based on daily price range, a record of strong return on equity, and a prior-session opening auction price at the lower price limit. The initial conditions specify a range greater than one, ROE above 15% for five…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese stock selection screen combining buying-flow measures with a moving-average trend filter. Its stated conditions include today’s position-increase ratio above 5%, large-order net volume above 0.05 for at least three…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document presents a Chinese stock screen combining a daily price-range threshold, the presence of an outstanding convertible bond name, and positive institutional net buying. It frames the range condition as a way to find active stocks, the bond field as…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaTirgus noskaņojums
SuperMind

The post proposes screening Chinese stocks in the metaverse theme using an opening price-change threshold and a candlestick reversal condition called a Morning Star. Its stated intent is to identify candidates for a potential oversold rebound. It also…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

The post outlines a Chinese stock-selection screen combining high capital strength, market capitalization below 10 billion yuan, positive earnings, and a nonempty name for an outstanding convertible bond. It frames capital strength as a way to gauge money…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

The document outlines an equity screening idea that combines membership in the metaverse industry, a rounded-bottom chart pattern, and recent institutional accumulation. Its final rule specifies institutional purchases totaling at least 10 million shares…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This short-term stock screen selects shares with amplitude above one, current volume above 10,000 lots, a higher open, and a reversal pattern described as an engulfing move. The post treats amplitude and volume as signs of active trading, the higher open as…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This stock-selection proposal narrows the universe to companies associated with the metaverse theme, then looks for positive institutional activity and net inflows from large orders during the afternoon. The article’s indicator example defines the flow…

AkcijasĶīnas tirgiTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This document describes a Chinese stock selection rule combining daily price movement, a reversal pattern, and trading activity. It selects stocks with an intraday high-to-low range above one percent, a reversal signal, and a threshold condition based on the…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The document describes a Chinese-equity screening rule combining trading activity with price and trend conditions. It selects stocks with turnover between 3% and 12%, an opening price within roughly 5% above or below the ten-day moving average of closing…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection screen requires price amplitude of at least 1, turnover above 2% and at most 9%, and a top-trader-list event on the previous day. It combines a volatility filter with a trading-activity range and a recent market-flow signal. The…

AkcijasSvārstīgumsTirgus noskaņojumsTehniskie indikatori
SuperMind

This stock-selection rule combines a turnover rate between 3% and 12%, a pattern described as an engulfing reversal, and amplitude above 1. The article presents turnover as a liquidity and activity filter, the reversal pattern as a possible trend-change…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgums
SuperMind

This Chinese stock screen selects shares with amplitude above 1, an upward-moving-average condition, and price above the five-day moving average. The stated rationale is to find stocks showing larger recent price movement and an upward price trend. The…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

The document presents a daily stock screen for A-shares that excludes Beijing-listed stocks, keeps names with turnover between 3% and 12%, and selects those whose price change is greater than -5% and below 2.6%. It includes a formula-style expression for…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

The note describes a workflow for handling large datasets or repeated data requests during quantitative research. Such requests can slow backtests or cause errors, so it recommends downloading the required data into the research environment first and then…

Vēsturisko datu pārbaudeAkcijas
SuperMind

The document proposes an equity screen combining three conditions: amplitude greater than one, a prior day 9:15 matching price at the limit-down level, and MACD above zero. It presents the first condition as a measure of price movement, the limit-down match…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection note proposes screening for shares with a daily high-low range above 1% of the prior close, a weekly MACD above its zero line, and exclusion of the STAR Market. The intended combination uses recent price movement and a longer-horizon…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screening note describes a rules-based selection process using RSI below 65, a circulating market capitalization between 5 billion and 10 billion yuan, and a revised ownership-concentration range of 20% to 50%. It also references a…

AkcijasĶīnas tirgiTehniskie indikatoriPozīcijas apjoma noteikšana
SuperMind

This Chinese stock-screening example selects shares with turnover between 3% and 12%, a rising DEA condition, and a price move below 6% at the 9:25 screening time. It provides a formula-style expression and a Python sketch that filters turnover, calculates a…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese equity screening example selects stocks associated with beverage and alcohol imports or exports, turnover from 3% to 12%, and a rising DEA line. The post describes DEA as a MACD-related technical measure and supplies formula references for…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss