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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

This short-term stock-selection proposal combines three conditions: MACD above zero, upward separation of the day’s moving averages, and an opening auction return between -2% and 5%. The indicators are intended to capture positive price momentum and…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection idea filters for daily price amplitude of at least 1%, turnover above 2% and no more than 9%, and a closing price between the middle and upper Bollinger Bands. The post presents these conditions as a way to find actively traded, volatile…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This Chinese stock-selection post describes a screen for companies with positive MACD, year-over-year net profit growth above 20% and at most 100%, market capitalization below 10 billion yuan, and no reported losses. Its rationale is to combine price…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening example combines three filters: a metaverse concept label, a close above the previous session’s low, and a recent high-price move intended to identify a limit-up event. It presents equivalent indicator and Python-style…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Supermind community post proposes selecting equities with RSI below 65, free-float market capitalization between 5 billion and 10 billion yuan, and a “main uptrend start” condition. It defines the latter through a price position within the recent…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese community post describes an equity screen requiring amplitude above 1, prior-day “main force control,” and a positive price-to-earnings ratio. It presents these as technical and fundamental filters intended to identify stocks with near-term…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This note presents a Chinese equity screen using four conditions: amplitude above 1, current volume above 10,000 lots, a higher open, and the 20-day moving average above the 120-day moving average. It interprets amplitude as a measure of price activity,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a basic Chinese equity screen that selects stocks with daily amplitude above 1, prior-day turnover above 60 million, and price above its five-day moving average. It frames the filters as a combination of price activity, trading liquidity,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post describes a stock screen pairing a minimum daily trading range with return on equity above a threshold for five consecutive years and at least one large one-day gain during a recent trading window. The intended combination seeks companies with…

AkcijasĶīnas tirgiFaktoru ieguldīšanaCenas impulss
SuperMind

This proposed A-share screen combines a market-cap ceiling, positive net profit, an RSI threshold, and positive afternoon large-order net inflows. The intended rationale is to pair a basic profitability constraint with a price indicator and a measure of…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This post proposes a Chinese stock screen using three filters: a turnover-ratio ranking among the top 100 stocks, a positive but capped return over the past ten days, and an opening price gain below a stated ceiling. The intended idea is to combine relative…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening idea combines RSI below 65, first-level bid volume greater than first-level ask volume, and a rounded price pattern described as an arc. The article interprets the RSI threshold as identifying a potentially oversold condition,…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

This note describes a Chinese equity screen combining three conditions: daily amplitude above 1, no limit-up close on the prior day, and an opening price near the 10-day moving average. It frames amplitude as a way to find more active stocks, excludes recent…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection approach combines three filters: daily amplitude above 1%, a proxy for afternoon large-order net inflow, and a condition described as at least five moving averages aligning. The accompanying indicator expressions and Python example show…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines a capital-flow measure with valuation and trend filters. It favors Shenzhen main-board stocks with price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0 to 3.11, then requires the 20-day moving average to be…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This post presents an equity screen requiring daily price amplitude above 1, a positive weekly MACD histogram, and exclusion of Beijing-listed shares. It describes amplitude as a way to filter out low-volatility stocks and the weekly histogram as a trend…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This post describes an equity selection screen that combines an RSI below 65 with seven consecutive declining sessions and excludes stocks that hit the daily price limit on the prior day. Its rationale is to identify recently weak stocks while avoiding those…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriĶīnas tirgi
SuperMind

The document proposes screening Chinese A-share stocks using a daily amplitude threshold, a price condition around 18.5 yuan, and prior-day turnover between 3% and 28%. It explains these filters as ways to select stocks with notable price movement, a chosen…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This post proposes screening equities for turnover within a specified range, seven consecutive down days, and a rising-bottom price pattern. It frames the combination as a way to examine stocks after a decline while looking for a possible base or rebound.…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
SuperMind

This post describes a stock screen that combines at least five overlapping moving averages, a share price below a stated ceiling, and revenue growth between two fiscal years. The intended rationale is to find stocks with clustered trend measures and a…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This Chinese-language post proposes an equity screen using three conditions: amplitude above a threshold, rising price lows, and positive returns. The rationale is to exclude stocks with little movement, identify a potential base with progressively higher…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

The post proposes a Chinese equity screen using turnover between 3% and 12%, a positive return over ten days below 35%, and a dividend payout ratio above 25% for 2019. It says to select stocks before 10 a.m. and presents the dividend filter as a way to…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

This Chinese-language post outlines a proposed screen for mainland Chinese exchange-listed stocks in the metaverse industry. It selects names among the five highest by the day’s auction trading value, then requires the weekly five-period moving average to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a daily stock screen based on three conditions: a high-to-low range greater than one percent, a reversal or engulfing-style pattern, and a close above the previous day’s low. It presents these conditions as a way to find stocks whose…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude