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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 document describes a Chinese mainland stock screen combining three conditions: turnover between 3% and 12%, a daily gain above 1%, and large plus extra-large buy volume in the auction above the stated threshold. It presents the screen as a way to seek…

AkcijasCenas impulssTirgus mikrostruktūraĶīnas tirgi
SuperMind

The document describes a Chinese equity screen for companies classified in the metaverse sector. It selects stocks with a positive return and turnover between 2% and 9%, aiming to favor shares with some trading activity while avoiding very high or very low…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The document describes a Chinese stock selection rule combining a MACD condition, a recent high, and a dividend-related filter. Its stated formula looks for MACD above zero, the current high matching the highest high over two days, and a 2019 dividend ratio…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This document outlines a short-term stock screen for Chinese equities. It combines daily price amplitude above 1%, market capitalization below 10 billion yuan, positive earnings, and a low KDJ reading (K at or below 20) intended to identify stocks near a…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This screen selects stocks with turnover between 3% and 12%, three consecutive declining closes, current volume above 10,000 lots, and an opening price above the previous close. The article presents these filters as a combination of price action, trading…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This stock-screening idea ranks candidates by capital-flow strength and filters for two price-history conditions: at least one limit-up event during the previous 25 days and at least two during the previous 500 days. The article frames recent and longer-term…

AkcijasCenas impulssUz notikumiem balstīta tirdzniecībaRiska pārvaldība
SuperMind

This article introduces Bollinger Bands as a volatility-based technical indicator built around a moving average. It describes the middle band as an N-day average of closing prices and the upper and lower bands as that average plus or minus a multiple of the…

AkcijasTehniskie indikatoriSvārstīgumsAtgriešanās pie vidējās vērtības
SuperMind

The post presents a stock-screening idea that combines a morning star candlestick pattern, associated with a possible bullish reversal, with a shrinking MACD histogram on a 15-minute chart. It describes using both conditions to identify candidate buy signals…

AkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The document explains factors as measurable characteristics of assets that can serve as inputs to quantitative models and investment strategies. It outlines four common feature-engineering steps: cleaning missing or erroneous observations, standardizing…

Faktoru ieguldīšanaMašīnmācīšanāsStatistikaAkcijas
SuperMind

The document describes a stock screen combining recent buying activity, the ratio of actively bought to actively sold volume, and a historical dividend payout measure. Its main text specifies a buying-activity share above 5%, an outside-to-inside volume…

AkcijasCenas impulssTirgus noskaņojumsRiska pārvaldība
SuperMind

The document proposes a Chinese stock screen that pairs a 14-period RSI below 65 with year-over-year net profit growth above 20% and no more than 100%, plus a return on equity above 15% over five years. It presents the conditions as a way to combine a…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document presents a Chinese equity screening idea combining daily price range, a recent three-session limit-up streak, and a rising DEA trend indicator. Its stated rationale is that a large range identifies active stocks, a sequence of limit-ups signals…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock selection approach combines three filters: a price-range threshold, a bullish crossover of the five-week and ten-week moving averages, and a minimum time since listing. The post explains the crossover and trading-range conditions as technical…

AkcijasTehniskie indikatoriVēsturisko datu pārbaudeMašīnmācīšanās
SuperMind

This post describes a short-term screen for main-board Chinese stocks. It selects shares with an intraday high-low range above a threshold, a high large-order net-flow ranking, and a daily gain above a threshold, then ranks candidates by market…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese stock-screening proposal selects shares with a daily high-low range greater than 1 that had three consecutive limit-up sessions as of the previous day, while excluding the STAR Market. The article interprets the range as a sign of volatility and…

AkcijasĶīnas tirgiCenas impulss
SuperMind

This stock-screening recipe combines a daily high-low range greater than 1, prior-day actual turnover between 3% and 28%, and a MACD reading below zero from two days earlier. The article frames the lagged MACD condition as a way to identify stocks that may…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese stock-screening example combines three filters: the 20-day moving average must exceed the 120-day average, the 14-period RSI must be below 65, and candidates are ordered by a measure of stock popularity or trading heat. The stated rationale is…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

The document outlines a stock screen combining a daily high-low range threshold, return on equity above a stated level for five consecutive years, and a selected company characteristic. It presents the range as a way to identify stocks with price movement…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The document describes a Chinese equity screening rule that places stocks in a candidate pool when their high-to-low price range exceeds 1%, the trading year is 2021, and company scale is at least 200 million. It gives example implementations in a charting…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This stock selection approach combines three filters: a 14-period RSI below 65, best bid volume greater than best ask volume, and at least two limit-up sessions in a 500-day lookback. The article frames these conditions as a way to find shares with prior…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

The post proposes screening Shanghai-listed A-shares using an RSI below 65 and an external-to-internal trading volume ratio above 1.3. Its example also filters out stocks whose current price change is at or below negative 3 percent. The stated rationale is…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This Chinese stock-screening note describes a momentum-oriented rule for the metaverse industry: select stocks that had a limit-up event within the prior 25 days and whose high is at a two-day high. It says to run the screen before 10 a.m. and trade the…

Ķīnas tirgiAkcijasCenas impulssCenas izrāviens
SuperMind

This A-share screening proposal places stocks in a candidate pool when they meet three technical conditions: daily amplitude above a stated threshold, a newly formed KDJ crossover, and at least five coincident moving averages. The post explains these filters…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share screening proposal combines daily price range, weekly MACD, a non-ST restriction, and a five-pen limit-up pattern. It describes selecting stocks before 10 a.m. and gives formula and Python examples intended to express the conditions. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss