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
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This stock screen combines three filters: a daily high-to-low range greater than 1%, MACD above the zero line, and revenue in 2021 more than 1.1 times revenue in 2018. The rationale is to pair price activity and a positive MACD condition with a multi-year…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The article presents a stock selection rule based on daily price range, afternoon large-order net inflows, and a positive trailing price-to-earnings ratio. It frames price range as a technical condition, afternoon flows as a possible clue to large traders’…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This simple momentum-oriented screen selects main-board shares with turnover between 3% and 12%, a positive but less than 35% gain over ten days, and a daily gain above 1%. The stated rationale is to focus on actively traded stocks that have recently…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share screening idea selects stocks with a reported increase in holdings above 5%, evidence of substantial main-fund control on the previous day, and a stated 2021 time criterion. The write-up interprets rising holdings as possible recent inflows and…

AkcijasĶīnas tirgiRiska pārvaldība
SuperMind

This Chinese equities screen combines a positive MACD condition with a share price below 12 yuan and relative volume between 1.5 and 6, where relative volume is current volume divided by its five-day average. The post describes running the screen before the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a simple A-share stock screen combining turnover, recent price performance, and MACD. It selects stocks with turnover between 3% and 12%, a positive return below 35% over ten days, and a MACD value below zero two days earlier. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The screen first requires price amplitude above 1 and an RSI reading below 65, then ranks qualifying stocks by the day’s auction amount and keeps the top five. The amplitude condition looks for movement during the session, while RSI serves as a technical…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This proposed Chinese equity screen combines membership in the metaverse sector, a positive institutional-activity reading, and a reversal pattern described as a sharp switch from a declining period to a rising move. The document explains these as sector…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock screen combines three conditions: price amplitude above 1, a top-five rank by the day’s auction amount, and three consecutive sessions in which the close is below the prior close. It aims to find active stocks showing a short-term downward price…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This stock screen selects shares with a daily range above 1%, a high equal to the highest high over two days, and a ten-day return above 0% but below 35%. The document interprets these conditions as seeking active, recently strong stocks while limiting the…

AkcijasSvārstīgumsCenas impulssTehniskie indikatori
SuperMind

This post proposes a Chinese equity screen combining recent reported capital accumulation above 5%, prior-day evidence of major-holder control, a market capitalization below 10 billion yuan, and a no-loss condition. It frames the combination as a way to find…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, codes beginning with 60, and a metaverse association. It presents both a database-style query and Python-oriented pseudocode for listing candidate securities,…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese equity-selection note combines three filters: daily amplitude above 1%, tradable shares no greater than 5.5 billion, and return on equity above 15% across a five-year period. It frames the filters as a way to find volatile stocks with relatively…

AkcijasSvārstīgumsFaktoru ieguldīšanaStatistika
SuperMind

This note proposes screening Chinese metaverse-related equities using a long-term moving-average condition and a measure of recent institutional capital flows. Its initial description requires yesterday’s price to exceed the 250-day moving average, while the…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This Chinese stock-screening note describes selecting equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a current daily low below the previous day’s low. The turnover band acts as a liquidity filter,…

AkcijasTirgus mikrostruktūraTehniskie indikatori
SuperMind

This Chinese-language post proposes a stock screen combining turnover, a seven-day decline, and Bollinger Bands. The initial logic selects stocks with turnover between 3% and 12%, seven consecutive down days, and a close between the Bollinger middle and…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This post proposes screening Chinese stocks for amplitude above 1, a current control indicator above 21, and identifiers beginning with 60. It frames the first two filters as ways to find volatile stocks with greater market influence, while acknowledging…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post describes a short-term Chinese equity screen requiring price amplitude above 1, prior-day indicators of large-player control, and prior-day turnover above 8%. It interprets amplitude as a measure of movement, the control indicator as a proxy for…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This article proposes screening Chinese stocks by daily price amplitude, a bounded turnover-rate range, and a minimum count of limit-up sessions over a historical window. It presents the rule as a way to find stocks with notable price movement and market…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This stock-selection rule screens Chinese equities associated with the metaverse theme, requiring yesterday’s turnover rate to exceed the stated threshold and prices to have declined for seven consecutive days. The article describes the screen in plain…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This proposed stock screen looks for shares with at least five moving averages clustered together, evidence of main-force control on the previous day, and a pre-open gain below 6% at 9:25. The rationale is that clustered averages may mark a potential turning…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This proposed China A-share screen selects stocks with turnover rates between 3% and 12% and positive gains below 35% over the prior ten days, while excluding Beijing-listed shares. The accompanying example also filters out names containing an ST…

AkcijasĶīnas tirgiCenas impulss
SuperMind

The document explains statistical pairs trading as a market-neutral mean-reversion approach. It describes selecting two securities with historically similar price behavior, then selling the relatively expensive leg and buying the relatively cheap leg when…

Pāru tirdzniecībaAtgriešanās pie vidējās vērtībasArbitrāžaTehniskie indikatori
SuperMind

This note proposes screening Chinese main-board stocks associated with robotics. The listed conditions are an intraday range greater than 1%, circulating market value below 10 billion, and a daily gain greater than 1%. It describes these as a mix of…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori