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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
WonderTrader
Dokumentu skaits: 14
Alphalens
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 expert-advisor description outlines a tick-driven scalping system that compares short-window price returns with a rolling statistical baseline. It enters only when the move’s z-score exceeds a configurable threshold, then lets the user choose either…

Valūtu tirgusAugstas frekvences tirdzniecībaStatistikaRiska pārvaldība
SuperMind

This Chinese-language document presents an A-share stock screen based on turnover between 3% and 12%, at least one limit-up event during the prior 25 days, and floating market value between 5 billion and 10 billion yuan. It includes a technical formula and a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language document outlines an A-share screening rule that combines MACD with a company classification filter. It seeks stocks where MACD is above zero and the MACD histogram’s green bars are shortening on a 15-minute interval, while excluding…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule screens the metaverse theme for shares meeting two price-trend conditions: the previous day’s price must be above the 250-day moving average, and the weekly close must cross above its 30-week moving average. The first condition…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This A-share screen combines a daily high-low range of at least one, return on equity above 15% in each of five consecutive years, and a proxy for recent large-investor control or buying pressure. The article presents the range condition as a way to identify…

AkcijasĶīnas tirgiFaktoru ieguldīšanaCenas impulss
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a positive 10-day gain below 35%, and a pattern of progressively higher lows. The accompanying explanation interprets repeated tests at increasingly elevated price bottoms as evidence of…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screening note combines three conditions: daily amplitude above 1%, a maximum intraday decline between 4% and 5%, and the stock’s average price above its five-day moving average. It presents the range and decline as measures of market…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This note presents a Chinese equity screen for metaverse-related stocks. It selects companies whose 9:25 price gain is below 6% and whose circulating market capitalization exceeds 10 billion yuan. The accompanying explanation treats the opening move limit as…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This note describes a Chinese equity screen for metaverse-themed stocks. Its stated criteria are a volume ratio above 1.5 and below 6, positive net buying by major participants during the opening auction, and— in the final version—a price-to-earnings ratio…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This note presents a Chinese equity screening rule that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and a weekly price move above the 30-week moving average. It frames turnover as a liquidity filter, the KDJ signal as evidence of…

AkcijasTehniskie indikatoriCenas impulssSekošana tendencei
SuperMind

This note describes a Chinese stock selection rule combining daily price range, afternoon large-order net inflows, and relative trading volume. It specifies an amplitude above 1%, with volume ratio between 1.5 and 6, and treats qualifying shares as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document presents a Chinese equity screening idea combining daily price amplitude above a threshold, a positive weekly MACD histogram, and recent limit-up behavior. It frames these conditions as a way to find active stocks with short-term upward…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This post describes a Chinese A-share selection rule that combines a minimum price-amplitude filter, a ceiling on freely tradable shares, and a weekly five-period moving average crossing above a ten-period moving average. The stated rationale is to find…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post presents a simple A-share stock screen combining membership in the metaverse theme, circulating market capitalization above a stated threshold, and a recent closing price exactly equal to a specified value. It sketches…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This Chinese-language post describes a stock screen combining turnover, a rising DEA condition, and price location within Bollinger Bands. It selects shares with turnover between 3% and 12%, a bullish MACD-style DEA condition, and a close above the band…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule combines three signals: daily price amplitude above 1, MACD above its zero line, and at least one limit-up event in the previous 25 days. The article interprets amplitude as a sign of substantial movement, positive MACD as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share selection rule looks for turnover between 3% and 12%, an opening price within 5% of the 10-day moving average of closing prices, and a positive return on the latest trading day. The article interprets these filters as selecting stocks with…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with parent-company net profit growth above 20% and no more than 100%, plus at least two limit-up days within the prior 500 days. It also describes excluding suspended and special-treatment shares…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The article describes a Chinese equity screening rule using three filters: turnover rate between 3% and 12%, a positive 10-day gain below 35%, and free-float market value above 10 billion yuan. It presents the screen as a way to find relatively liquid,…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This proposed equity screen selects stocks associated with the metaverse theme, a rising 30-day moving average, and at least one limit-up event during the prior 25 days. The document provides an indicator formula reference and a Python sketch for these…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-screening proposal targets companies classified in the metaverse industry when the KDJ indicator has just formed a bullish crossover and the shares have recorded at least two limit-up sessions within the prior 500 days. It specifies selecting…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This China A-share selection concept combines a moving-average trend filter, a size threshold, and a ranking by capital strength. It favors stocks whose 20-day moving average is above the 120-day average, treats size above 200 million as an eligibility…

AkcijasĶīnas tirgiSekošana tendenceiCenas impulss
SuperMind

This article describes a short-term China A-share screen based on three stated conditions: amplitude above 1%, evidence of main-force control on the prior day, and ranking among the top five by the current day’s auction amount. The intended idea is to find…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This document presents a simple China A-share selection rule: retain stocks with prior-day amplitude above 1%, circulating shares no greater than 5.5 billion, and exclude Beijing-listed shares. Its stated rationale is to focus on more volatile stocks with…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori