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 document proposes selecting stocks whose daily price amplitude exceeds 1%, whose MACD is above zero, and whose previous-day actual turnover falls between 3% and 28%. It describes amplitude as a measure of price movement, MACD as a trend reference, and…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This document describes a Chinese main-board stock screen combining a turnover-rate band of 3% to 12%, a circulating market value between 5 billion and 10 billion yuan, and a prior-day 9:15 matching price at the limit-down level. It also presents formula and…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This proposed short-term screen selects stocks in China’s metaverse sector that had at least one limit-up day within the prior 25 days. It also requires the product of the previous day’s turnover rate and the ratio of current auction volume to the prior…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock screen combines a positive MACD value with a newly formed KDJ bullish crossover and a positive net profit filter. The document presents the combination as a way to find stocks with an upward trend, a short term buy signal, and a basic…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen selects shares with an intraday high-low range above a stated threshold, a proxy for afternoon large-order net inflow, and a positive return from open to close. It frames the conditions as a way to find volatile stocks with apparent buying…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This post proposes a technical screen for Chinese equities that seeks high-amplitude, non-ST stocks before 10 a.m. It combines a five-day closing-price high with a rising-market filter based on short and longer moving averages and a MACD-style momentum…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post outlines a Chinese equity screen combining daily price movement and trading activity with company size and profitability. Its stated conditions are an amplitude above one, current volume above 10,000 lots, a higher open, market capitalization below…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This short community thread raises possible future-data problems in an equity screening and backtesting tool. One commenter warns that sorting by current market capitalization may select companies based on their later size, making historical results appear…

AkcijasVēsturisko datu pārbaudeStatistikaĶīnas tirgi
SuperMind

This Chinese stock-screening post proposes selecting companies below a stated market-cap ceiling that have not reported losses, excluding stocks that hit the daily upper price limit on the previous session, and ranking candidates by trading-volume strength.…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document outlines a short-term Chinese equity screen using three signals: high relative trading volume, a daily decline bounded between four and five percent, and more than two limit-up sessions over the prior ten days. It ranks candidates by the…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document describes a Chinese stock screening rule combining an intraday range threshold, a specified share price, and a 20-day concentration measure. It frames the screen as a way to find stocks with a particular price and activity profile while avoiding…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

These notes summarize a systematic approach to trading that begins with personal goals, constraints, and psychological tendencies. They review common judgment errors in system design, testing, and live execution, including overfitting, hindsight bias, seeing…

Riska pārvaldībaPozīcijas apjoma noteikšanaVēsturisko datu pārbaudePortfeļa veidošana
SuperMind

The document describes a Chinese stock-screening approach that looks for daily price amplitude above 1%, a newly formed KDJ crossover, positive MACD confirmation, and net buying from large or extra-large orders during trading. The selected stocks enter a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screening proposal combines three chart-based conditions: at least five moving averages converging, a rounded price shape, and an upward-sloping 30-day average. It suggests adding a MACD check and using multiple data sources. The article…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, outside volume more than 1.3 times inside volume, and prior-day auction turnover above 0.26. The article presents these conditions as a way to capture active trading while imposing a…

AkcijasTirgus mikrostruktūraTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese equity screening rule combines three conditions: daily amplitude above 1, tradable share count no greater than 5.5 billion, and a rising DEA line derived from MACD. The article explains the intended rationale: amplitude may identify stocks with…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

This Chinese stock screen selects companies associated with the metaverse theme, whose closing price is above the previous day’s low, and whose 9:25 gain is below 6%. The description interprets the close-versus-low condition as evidence of a favorable…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock-selection proposal combines three filters: price amplitude above 1, a signal that large market participants controlled the stock on the previous day, and a current increase in positions exceeding 5%. The author interprets the control and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection approach screens for companies associated with robotics, with turnover between 3% and 12%, floating market capitalization below 10 billion yuan, and year-over-year growth in net profit attributable to parent-company shareholders above…

Ķīnas tirgiAkcijasFaktoru ieguldīšana
SuperMind

The document describes a Chinese A-share screening idea combining MACD above zero, a signal interpreted as major-player control on the prior day, and large plus extra-large buying during the opening auction. It first proposes a combined auction purchase…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This research summary examines whether factor crowding measures can help time factor returns or adjust multi-factor portfolio weights in Chinese equities. It constructs eight relative crowding indicators across valuation spreads, pairwise correlations,…

AkcijasFaktoru ieguldīšanaMašīnmācīšanāsStatistika
SuperMind

This stock-selection screen combines daily price amplitude above one percent with a 2021 date filter and three moving average crossovers. It defines the crossover conditions using five-, ten-, and twenty-day averages, requiring the shortest average to cross…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This document describes a short-term A-share stock screen combining a 14-period RSI below 65, the product of daily price change and a proxy for large-order net activity, and a condition for three consecutive limit-up sessions. Its final stated selection…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība