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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: 79,386

BigQuant

The report summary explains a method for finding monthly indicators that may signal earnings changes in cyclical industries before standard financial statements are published. It covers real estate, autos, transport, coal, nonferrous metals, steel, building…

AkcijasĶīnas tirgiStatistikaFaktoru ieguldīšana
SuperMind

The document proposes screening Chinese stocks for three conditions: association with the metaverse theme, a rounded chart pattern, and company scale above 200 million yuan. It frames the rounded pattern as a technical signal and company size as a rough…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
MQL5 code base

The document introduces an MQL4 indicator called HL. Its stated function is to display a pivot level together with support and resistance levels on a chart. These plotted reference levels can help a trader identify areas where price may pause, reverse, or…

Tehniskie indikatoriValūtu tirgus
SuperMind

The document describes a Chinese stock screen combining a daily amplitude threshold, membership in a robotics concept group, a circulating market value below 10 billion yuan, and an outside-volume to inside-volume ratio above 1.3. It also presents example…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
Amberdata research

This report reviews digital-asset market developments in Q4 2023 and gives an outlook for 2024. It discusses token prices, circulating supply, market capitalization, Bitcoin spot-exchange share and volume, and activity across blockchain networks and DeFi…

KriptoaktīviTūlītējo darījumu tirgiDeFiTirgus noskaņojums
FMZ forum

The article argues that traders can be misled by intuitive, familiar interpretations of price action and market narratives. Examples include buying a presumed leader after a technical pullback, expecting small caps to rise when large caps lead, or chasing a…

AkcijasStatistikaRiska pārvaldībaTirgus noskaņojums
SuperMind

This Chinese equity screen combines a daily amplitude threshold with a prior-day 9:15 matching-price limit-down condition, robot-industry membership, and a circulating market value below 10 billion yuan. The final version adds a price-to-earnings ratio below…

AkcijasTehniskie indikatoriĶīnas tirgiVēsturisko datu pārbaude
ProRealCode

This indicator identifies thirteen common candlestick formations and marks them on a chart with labels and, for many patterns, directional arrows. The listed formations include doji, morning and evening stars, shooting star, hammer variants, harami,…

Tehniskie indikatoriAkcijasStatistika
SuperMind

This stock screen combines a price-range filter with two momentum conditions. It looks for a range above 1%, a contracting negative MACD histogram on a 15-minute chart, and a KDJ value below 20. The document interprets the shrinking negative histogram as a…

AkcijasTehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtības
MQL5 code base

This brief note describes a multi-timeframe option for the RAVI indicator in MetaTrader 5. A user can select the timeframe used by the indicator through an input parameter, with a four-hour period shown as the default example. The note also states that the…

Tehniskie indikatori
SuperMind

This stock screen combines daily price movement with a recent high and a volatility-compression condition. It selects stocks whose intraday range exceeds 1%, whose high is the highest of the current and previous day, and whose Bollinger-band variability is…

AkcijasTehniskie indikatoriSvārstīgumsRiska pārvaldība
Amberdata research

This market recap reviews BTC and ETH options conditions during a sharp spot-market selloff and rebound. It discusses realized and implied volatility, term structures, volatility carry, skew, relative value between ETH and BTC, options trading flows, and…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
SuperMind

This stock screen combines three filters: price amplitude greater than 1, free float no more than 5.5 billion shares, and company size above 200 million. The article interprets the amplitude condition as a way to find more volatile stocks that may suit…

AkcijasSvārstīgumsTehniskie indikatoriRiska pārvaldība
MQL5 code base

R-Squared is described as a linear regression indicator that can help assess how statistically strong the current trend may be. Although its display resembles an oscillator, the document frames its purpose as indicating the reliability of a trend rather than…

Tehniskie indikatoriStatistikaSekošana tendencei
SuperMind

This stock selection method searches the metaverse industry for shares showing simultaneous bullish crossovers in MACD and two moving average pairs: the 5-period average over the 10-period and 20-period averages. It adds a condition that the KDJ indicator…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
OctoBot

The document explains stablecoins as crypto tokens designed to hold value relative to an asset or asset basket, commonly a fiat currency. It outlines three broad designs: fiat-backed tokens supported by reserves, crypto-backed tokens that generally use…

KriptoaktīviTūlītējo darījumu tirgiRiska pārvaldībaDeFi
BigQuant

This opinion article argues that traders should give more weight to market direction, entry timing, and risk discipline than to technical indicators alone. It warns against treating a falling price as automatically cheap, and favors aligning trades with…

AkcijasSekošana tendenceiRiska pārvaldībaCenas impulss
FMZ forum

The document compares six programming-language options for building quantitative trading strategies: visual programming, EasyLanguage, Python, MATLAB/R, C++, and Java/C#. It evaluates them by capability, speed, extensibility, and learning difficulty, then…

StatistikaVēsturisko datu pārbaudeAugstas frekvences tirdzniecība
Hummingbot docs

The document explains V1 strategies as configurable algorithmic trading templates that monitor trading pairs on one or more exchanges. It distinguishes strategy logic, which defines behavior in code, from user-set parameters such as spread and order size,…

Tirgus veidošanaArbitrāžaRīkojumu izpildeKriptoaktīvi
MQL5 code base

The document describes an MT4 indicator that plots daily pivot, support, and resistance levels while allowing it to be attached to charts from M1 through H4. Its settings offer five calculation choices: Standard, Fibonacci, Camarilla, Woodie, and DeMark,…

Tehniskie indikatori
SuperMind

This Chinese stock screen combines trading activity, thematic classification, market capitalization, and fundamental filters. It seeks stocks with amplitude above 1, elevated same-day control, a robotics association, and circulating market value below 10…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

This brief describes a custom linear regression channel indicator. It plots or calculates the regression line together with support and resistance line values, making those values available through indicator buffers for use by a trading platform or other…

Tehniskie indikatoriStatistika
Awesome Systematic Trading

The strategy compares two portfolios drawn from a basket of cryptocurrencies: one is rebalanced daily to equal weights, while the other starts equally weighted and is left to drift. It takes a long position in the rebalanced portfolio and a short position in…

KriptoaktīviPortfeļa veidošanaArbitrāžaVēsturisko datu pārbaude
ProRealCode

The Close Series indicator counts consecutive bars in three categories: closes within the previous bar’s range, opens beyond the previous bar’s high or low, and bars that close in the same direction as the prior bar. The author interprets long internal-close…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība