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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
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

The document proposes a short-term stock screen based on three conditions: a recent price range above a threshold, the opening price near the ten-day moving average, and no limit-up move in the specified prior session. The stated intent is to find volatile…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
SuperMind

This screening concept selects stocks with price amplitude above 1, rising lows or a higher base, and turnover between 2% and 9%. The post presents the criteria as a way to combine price structure with trading activity and liquidity. It also suggests…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This stock-screening idea combines three conditions: a 14-period RSI below 65, a rising MACD DEA, and at least two limit-up sessions during the prior 500 days. The post presents the combination as a way to find shares with moderate momentum and a history of…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an equity screen that ranks stocks by capital activity, requires the 20-day moving average to exceed the 120-day average, and selects companies whose 2021 revenue is more than 1.1 times their 2018 revenue. The proposed…

AkcijasCenas impulssTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document presents a Chinese equities screening idea: select stocks with turnover between 3% and 12%, seven consecutive declining closes, and a limit-up event within the past month. It includes example screening logic and code references intended to…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

The document proposes a Chinese equity screen that combines a daily high-low range above one percent, a newly formed KDJ crossover, and a measure of today’s volume increase above five percent of its recent average. It provides example formulas in a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The post proposes screening Chinese stocks for daily turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%, and floating market capitalization between 5 and 10 billion yuan. It…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
SuperMind

This post describes a short-term Chinese stock screen that first selects shares with an amplitude above 1 and reported main-force control activity on the prior day, then ranks qualifying names by individual stock popularity. It frames the method as a way to…

AkcijasTirgus noskaņojumsTehniskie indikatoriĶīnas tirgi
SuperMind

The post proposes a Chinese equity screen combining three technical conditions: price near five moving averages (5, 10, 20, 50, and 200 days), a candlestick pattern it calls a morning star, and shortening green bars on a 15-minute MACD histogram. It presents…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This Chinese stock-screening proposal combines three conditions: a price-amplitude threshold, a rounded price pattern, and an external-to-internal trading volume ratio above 1.3. Its example formula expresses the rounded-pattern condition through a 50-period…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese stock-screening proposal narrows the universe to companies classified in the metaverse industry. It then selects stocks whose opening price is within five percent of the 10-day moving average of closing prices, alongside a negative MACD…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post outlines a Chinese stock screen combining a turnover range of 3% to 12%, a three-session declining condition, and a recent-high test. Its stated selection logic seeks stocks meeting all three conditions. The article includes an example formula…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock-screening post describes a rules-based filter combining price movement, large-order net volume, and a short moving average. It selects stocks whose reported amplitude exceeds 1, whose large-order net-volume measure stays above 0.05 for at…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This ProRealTime indicator evaluates price performance between user-selected start and end dates. It calculates compound annual growth rate (CAGR) from the two closing prices and the estimated elapsed years, scans intervening bars for the largest percentage…

StatistikaRiska pārvaldībaVēsturisko datu pārbaude
SuperMind

The document describes a Chinese equity screen combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and share price. It selects stocks with turnover from 3% to 12%, profit growth above 20% and no more than 100%,…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document summarizes a study of machine learning models for predicting monthly Chinese A-share returns. It describes a rolling, annual retraining design that uses lagged stock and macroeconomic factors, with separate training, validation, and test…

Ķīnas tirgiAkcijasMašīnmācīšanāsFaktoru ieguldīšana
SuperMind

This Chinese equity selection rule screens companies classified in the metaverse industry. It requires the previous day’s actual turnover rate to fall between 3% and 28%, and year-over-year growth in net profit attributable to parent-company shareholders to…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

This Chinese stock selection rule filters for turnover between 3% and 12%, a previous-day appearance on the 龙虎榜 (a public list highlighting unusual trading activity), and MACD at or above zero. The post frames these conditions as a combination of trading…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock screening proposal selects shares with turnover between 3% and 12%, an appearance on the previous day’s 龙虎榜 (a public list highlighting unusual trading activity), and a size measure above 200 million. It also specifies that a stock should…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This stock-selection recipe combines fundamental and price conditions. It screens for turnover between 3% and 12%, year-over-year growth in net profit attributable to shareholders of more than 20% and up to 100%, and three consecutive sessions in which the…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese stock-selection post describes a screen combining turnover, listing year, and MACD momentum. It selects shares with turnover between 3% and 12%, a 2021 listing date, and a rising DEA line. The accompanying explanation presents DEA’s upward…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection idea screens for Chinese equities with turnover between 3% and 12%, an initial public offering in 2021, and an upward separation of moving averages. The accompanying explanation frames the turnover band as a way to select stocks with…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This document presents a technical stock screen using three conditions: amplitude above 1, a positive weekly MACD histogram, and a shortening negative MACD histogram on a 15-minute interval. The stated interpretation is that the weekly signal indicates…

AkcijasTehniskie indikatoriCenas impulss