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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

This article introduces unsupervised clustering and contrasts it with supervised classification: cluster labels are not known in advance, so judging whether a grouping is correct is difficult. The goal is to group observations so that members of each cluster…

MašīnmācīšanāsStatistikaAkcijasĶīnas tirgi
SuperMind

This A-share screening idea combines daily price amplitude above a threshold, a positive weekly MACD condition, positive institutional capital flow, and a market-capitalization filter. The article describes weekly MACD as a way to capture price direction and…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This Chinese-language article describes a stock selection screen combining turnover, earnings growth, and recent price weakness. It looks for shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese-language document presents a screening rule for mainland Chinese A-shares. It selects stocks with a daily high-low range exceeding one percent of the high, a nonempty name for an outstanding convertible bond, and a stock code beginning with 60.…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese equity screen combines three conditions: daily price amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and a positive product of price change and a large-order volume measure. The stated rationale is…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock screen combines a 14-period RSI threshold with an industry filter for beverage and alcohol import-export businesses and a ticker-prefix restriction to stocks beginning with 60. The document presents the criteria as a way to narrow a Chinese equity…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This article proposes a Chinese stock screen requiring price amplitude above 1, three technical indicators to produce bullish crosses, and an opening auction return between −2% and 5%. It frames the opening move as an additional filter on stocks selected by…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The post describes a proposed A-share screen combining at least five overlapping moving averages with a positive but limited ten-day price gain during 2021. Its stated rationale is to find stocks with relatively aligned averages and room for further…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock selection rule combines three filters: a reported measure of buying activity above 5%, the previous close above the 250-day moving average, and a market capitalization no greater than 10 billion yuan for companies without losses. The document…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document proposes selecting listed Chinese main-board stocks that have turnover between 3% and 12%, belong to the robotics theme, and have circulating market value below 10 billion yuan. Within that group, it seeks stocks with evidence of institutional…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

The document describes a Chinese equity screen combining three conditions: turnover between 3% and 12%, bid-side first-level volume greater than ask-side volume, and an association with the metaverse concept. It presents the conditions as a way to focus on…

AkcijasTirgus mikrostruktūraĶīnas tirgi
SuperMind

The document proposes a short-term stock screen using four conditions: amplitude above 1, current volume above 10,000 lots, an opening price above the prior close, and an outside-to-inside volume ratio above 1.3. It frames range and volume as ways to find…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a stock screen that combines daily amplitude above 1, a listing history longer than one year, and more than two limit-up events in a ten-day window. The rationale is that amplitude may indicate activity, while an established listing…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This post proposes screening stocks for a large daily trading range, a recent multi-session limit-up streak, and falling closing prices across the preceding trading days. It frames the rule as a technical screen for volatile stocks whose recent price action…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This post outlines an equity screening rule that ranks stocks by capital-flow strength, favors a short moving average above a longer one, and requires repeated limit-up sessions within a recent window. It presents turnover and volume ratio as possible ways…

AkcijasCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This note describes an A-share stock screen combining price amplitude above 1, a KDJ reading below 20, and a reversal candle pattern. The accompanying explanation treats the filters as a way to find volatile stocks that may be turning upward. It suggests…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This project overview describes a high-frequency backtesting framework built around tick-level market replay. It reconstructs order books from Level-2 or Level-3 data and models feed and order latency, along with the trader’s queue position, to make…

Augstas frekvences tirdzniecībaVēsturisko datu pārbaudeTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This note presents a Chinese A-share screening rule using price amplitude above 1, a KDJ reading below 20, and exclusion of Beijing-listed shares. It interprets the filters as seeking volatile stocks with a low oscillator reading, then suggests adding market…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese-language article outlines an equity screen using RSI below 65, circulating market value between 5 billion and 10 billion yuan, and exclusion of stocks that hit the daily price limit on the previous session. Its final stated selection logic also…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity screen that selects stocks with an amplitude above 1, an appearance on the previous day’s trading leaderboard, and at least one limit-up event during the prior 25 trading days. It interprets these conditions as proxies…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
SuperMind

The document describes a Chinese equity screen that combines a daily range filter, a stock-code prefix, and a three-bar low-price pattern. It selects stocks whose high-to-low range exceeds one percent of the open, whose code begins with 60, and whose recent…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

The post outlines an equity-screening approach for stocks in the metaverse industry. It combines simultaneous bullish crossovers from three technical indicators with a condition intended to identify a short-term improvement in the 15-minute MACD histogram.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese stock screen combines membership in a metaverse sector with a price-change cap of less than 6% and a rising DEA condition. The document gives formula references based on the 12- and 26-period exponential moving averages and a further…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss