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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
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

The post asks how to reproduce a backtest setting from JoinQuant in another Chinese trading platform. The JoinQuant setting described allows limit orders to fill directly without checking the submitted price or quantity, which the author wants to use when…

AkcijasRīkojumu izpildeVēsturisko datu pārbaude
SuperMind

This Chinese-language post proposes a stock-selection screen for Shenzhen main-board shares. It combines prior-session price amplitude above 1%, circulating shares no greater than 5.5 billion, positive price-to-earnings below 29.01, and positive…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This document presents a technical equity screen requiring at least five moving averages to converge, a positive return, and the 20-day moving average to exceed the 120-day average. Its rationale is that clustered averages may indicate relatively stable…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

This document describes an equity screen combining daily price amplitude above 1%, market capitalization below 10 billion yuan, positive net profit in each of the latest four quarters, a nonempty convertible-bond short name, and an opening price above the…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
SuperMind

The study summary describes estimating bond fund asset exposures from externally available data when reported holdings are delayed, infrequent, and incomplete. Its central method is regression: fund returns are related to price-weighted asset returns, using…

Fiksēta ienākuma instrumentiStatistikaFaktoru ieguldīšanaPortfeļa veidošana
SuperMind

This stock screen combines three conditions: daily amplitude above one percent, at least two apparent limit-up moves in the prior 500 days, and three consecutive declines in closing price. The stated rationale is to find historically active stocks that have…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
SuperMind

This post presents a proposed Chinese A-share screen using RSI below 65, an external-to-internal trade-volume ratio above 1.3, and exclusion of Beijing-listed stocks. It also describes a 10-day price-change filter in the Python example, retaining stocks with…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post presents an A-share stock screen that combines a technical indicator, reported earnings growth, and institutional ownership. It selects shares with RSI below 65, year-over-year growth in net profit attributable to the parent company above 20% and…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese-language post outlines a short-term A-share stock screen that combines price activity and a limit-up pattern. Its stated filters include amplitude above a threshold, a claim of main-force control on the prior day, exclusion of ST-designated…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This document outlines a Chinese stock screening idea that combines a daily price-range threshold, a newly formed KDJ crossover, and a company-type condition. The intended output is a pool of candidate stocks. It also sketches formula and Python…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The post describes a stock-selection screen that ranks companies by capital-flow strength and considers share price and revenue growth. Its core growth condition compares 2021 revenue with 2018 revenue, requiring the ratio to exceed 1.1. The final proposed…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This proposed stock screen targets companies classified in the metaverse sector during 2021. It selects stocks that appeared on the previous day’s trading leaderboard, have market capitalization below the stated limit, and report positive net income. The…

Ķīnas tirgiAkcijasUz notikumiem balstīta tirdzniecībaFaktoru ieguldīšana
SuperMind

The document presents a short-term stock screen that selects shares with current turnover between 3% and 12%, greater volume at the best bid than at the best ask, and previous-day turnover above 8%. It frames turnover as a liquidity and activity measure and…

AkcijasTirgus mikrostruktūraTehniskie indikatoriRīkojumu izpilde
SuperMind

This Chinese equity screening rule selects main board stocks with turnover between 3% and 12%, a listing year of 2021, and a latest close more than 1% above the previous close. It combines a liquidity or activity filter with a recent price strength condition…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This proposed A-share screen looks for stocks classified in the metaverse industry that appeared on the previous day’s Dragon and Tiger List and have a rising DEA indicator. The article treats list inclusion as a sign of market attention and a higher DEA…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This stock screen selects companies assigned to the metaverse industry when the KDJ indicator has just formed a bullish crossover and prices have closed lower throughout the recent seven-session window. The proposed rationale combines a technical signal with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-screening idea selects companies in the metaverse theme whose prior close is at or above the 250-day moving average and whose prior session closed below its open. The bearish-candle condition is treated as a possible setup for a subsequent…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

The document presents a Chinese equity screen limited to the metaverse category. It combines a morning price-change condition below 6% with turnover greater than 2% and less than 9%. The stated rationale is to focus on shares in a chosen thematic group while…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

This Chinese equity screening idea requires turnover between 3% and 12%, a newly formed KDJ golden cross, and three consecutive declining sessions. The stated rationale is to focus on shares with moderate trading activity, a potentially positive indicator…

AkcijasTehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtības
SuperMind

The document describes a Chinese equity screen that combines daily price range, a recent-high condition, and trading value. It selects stocks whose high-low range exceeds 1% of the previous close, whose high matches the highest value across the current and…

AkcijasTehniskie indikatoriCenas izrāviensRiska pārvaldība
SuperMind

This document outlines an equity selection rule based on price amplitude above 1, MACD crossing above zero, RSI over 14 periods above 50, and a condition described as the start of a strong upward move. It frames these criteria as technical signs of…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

This document describes a Chinese equity screen combining daily price amplitude above 1, market capitalization above 200 million, and a shortening 15-minute MACD histogram. It interprets the amplitude filter as a way to find more active stocks, the size…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi