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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
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 79,386

MQL5 code base

ATRR is described as an indicator that compares two Average True Range values calculated over different lookback periods. Its two inputs set the periods for the first and second ATR calculations. The intended use is to view the relative behavior of…

Tehniskie indikatoriSvārstīgumsStatistika
Hummingbot docs

These release notes describe updates to Hummingbot, an open-source crypto trading platform. Trading-relevant changes include market-order support on selected exchange connectors, new exchange and blockchain integrations, and example scripts for equal-weight…

KriptoaktīviArbitrāžaPortfeļa veidošanaRīkojumu izpilde
SuperMind

This note describes a Chinese equity screen combining a minimum daily high–low range, consistently strong return on equity, and a ranking based on net large-order activity. The intended rationale is to find companies with a track record of profitability and…

AkcijasĶīnas tirgiFaktoru ieguldīšanaSvārstīgums
MQL5 code base

The indicator marks bullish gaps with upward arrows and bearish gaps with downward arrows. Traders can set a minimum gap size in points so smaller gaps are ignored. An optional history check can identify gaps that later close, displaying a cross for closed…

Tehniskie indikatoriAkcijasRīkojumu izpilde
SuperMind

This post outlines a China-focused equity screen for companies classified in the metaverse sector. It requires a positive close-to-close return and an opening price near the 10-day moving average. The moving-average condition is presented as a way to…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
BigQuant

This report analyzes the performance and portfolio of a Chinese mixed equity fund managed by Lin Yingrui. It describes the manager’s approach as selecting leading companies in sectors linked to China’s economic transition while adjusting broad asset…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaPortfeļa veidošana
Amberdata research

The article argues that a US November CPI release may be unreliable because a government shutdown disrupted price collection: October data was not gathered, November collection began late, and some figures relied on carried-forward data. It contrasts the…

KriptoaktīviSvārstīgumsTirgus mikrostruktūraPerpetuālie nākotnes līgumi
SuperMind

This A-share screening proposal looks for stocks with a daily high-low range above 1%, trading volume between 1.5 and 6 times its five-day average, and an appearance on the previous day’s 龙虎榜, a list associated with notable trading activity. The article…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This excerpt argues that investors should study the long-term history of securities rather than overreact to short-term price or earnings changes. It notes that buying and holding diversified equities can deliver market-level results, while beating the…

Riska pārvaldībaPortfeļa veidošanaAkcijasFiksēta ienākuma instrumenti
SuperMind

This Chinese A-share screening idea combines turnover between 3% and 12%, three consecutive declining sessions, and exclusion of ST-designated stocks. It proposes selecting the five highest-ranked stocks that hit their daily price limit, with selection…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
MQL5 code base

This Expert Advisor monitors price movement and spreads using two observation windows. Over a user-defined number of ticks, it calculates average pip movement and average spread; it also computes those averages across a specified number of seconds. The EA…

Valūtu tirgusSvārstīgumsTirgus mikrostruktūraRīkojumu izpilde
ProRealCode

The Even Better Sinewave is described as a bounded oscillator for identifying bullish or bearish cycle momentum while filtering price noise. Its construction applies a high-pass stage to price changes, then smooths the result with a low-pass filter. A…

Tehniskie indikatoriStatistikaCenas impulss
SuperMind

This stock selection idea combines three filters: price amplitude above one, a listing age greater than one year, and a bullish weekly candle whose upward move exceeds the prior candle’s downward move. The weekly candle condition is intended to identify…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
MQL5 code base

The document describes a semaphore-style trading indicator based on Average True Range. A signal appears when ATR begins to rise after having fallen, so the indicator is designed to mark a change in volatility rather than a stated directional forecast. Its…

Tehniskie indikatoriSvārstīgums
FMZ forum

This article argues that trading volume cannot be interpreted through a fixed rule that rising prices must come with rising volume. It recommends judging volume relative to the prior price and volume trend, market setting, and position within a move, with…

AkcijasTehniskie indikatoriTirgus mikrostruktūraStatistika
SuperMind

The document outlines a premarket stock screen for Chinese equities. It selects stocks with MACD above the zero line, excludes those that closed at the daily limit on the previous trading day, and ranks the remaining names by a measure of investor attention.…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock selection approach filters for shares with a daily price range above a threshold, at least a year since listing, and a high ranking in large-order net volume. The article frames the range condition as a way to find active stocks, listing age as a…

AkcijasTirgus mikrostruktūraTehniskie indikatoriStatistika
Amberdata research

This market commentary links a decline in US yields and expectations of a possible soft landing with gains in Bitcoin, Ether, and gold. It reviews the coming employment and central bank events, then interprets crypto options activity: traders appeared…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
SuperMind

This stock screen selects candidates before each trading day’s open when MACD is above zero, price-to-earnings is positive, and the KDJ indicator has just formed an upward crossover. The article presents MACD as a trend filter, positive P/E as a basic…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

This Chinese stock screen combines a daily price-amplitude condition, afternoon large-order net inflow, and year-over-year growth in net profit attributable to the parent company. It specifies profit growth above 20% and no greater than 100%. The article…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This Chinese equity screen combines three short-term filters: price amplitude above 1, a ranking based on large-order net activity, and a 9:25 a.m. gain below 6%. The stated rationale is to identify active, volatile shares whose early move is comparatively…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese equity screening note combines a price-amplitude threshold with a named candlestick pattern and an exchange-market exclusion. It calls for amplitude above 1, a “Morning Star” pattern associated with Kute Intelligent, and exclusion of…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This note describes a Chinese equity screen combining turnover with a stock-code filter and a recent price condition. It selects stocks whose codes begin with 60 and whose turnover is between 3% and 12%, then ranks candidates by the highest closing price…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This A-share screen selects stocks with a daily range above one percent, a day's low between four and five percent below the previous close, and a rising DEA line. The article presents range and decline as short-term price conditions and DEA movement as a…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums