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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
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Amberdata research
Dokumentu skaits: 766
FMZ forum
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FMZ digest
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vn.py community
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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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: 79,386

SuperMind

This note describes a Chinese equity screen combining three conditions: price amplitude above 1, circulating market capitalization above 10 billion yuan, and at least one limit-up event in the prior 25 days. It frames the screen as a way to find larger,…

AkcijasĶīnas tirgiSvārstīgumsCenas izrāviens
MQL5 code base

This Expert Advisor uses fast and slow moving averages to determine direction. It opens a buy when the fast average is above the slow average by a configurable minimum distance, and a sell under the opposite condition. The EA can close or retain existing…

Valūtu tirgusTehniskie indikatoriSekošana tendenceiRežģa tirdzniecība
MQL5 code base

The NRTR indicator tracks price extremes using highs and lows, maintaining a preset distance from the most recently reached extreme. In an uptrend it appears below price, while in a downtrend it appears above price. The offset is intended to ignore modest…

Tehniskie indikatoriSekošana tendenceiCenas izrāviens
SuperMind

This stock selection approach filters for shares associated with the metaverse theme, then checks for an upward-sloping 30-day moving average and sorts qualifying names by a measure of individual stock interest. The article presents this as a way to combine…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
MQL5 code base

This Expert Advisor opens trades when a colored Sidus indicator arrow appears at a bar’s close. Its entry logic is therefore driven by the indicator’s directional signals, with the signal confirmed only after the bar completes. The document describes the…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese stock-selection note proposes screening for price amplitude above 1, large-order net-volume readings above 0.05 over at least three consecutive days, and then ranking by fund strength. It presents the combination as a short- to medium-term way…

AkcijasTirgus mikrostruktūraTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese stock-screening note combines three ideas: rank stocks by volume ratio as a proxy for fund strength, require the previous day's adjusted turnover rate to exceed 8%, and look for a shortening MACD histogram on a 15-minute chart. It presents the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
Hyperliquid docs

This documentation describes vaults built on HyperEVM using CoreWriter and precompiles. Builders can create and tokenize vaults with customizable accounting, and may follow standards such as ERC-4626. The described design supports onchain read and write…

KriptoaktīviBlokķēdes datiTūlītējo darījumu tirgiDeFi
SuperMind

This Chinese stock-selection note combines a turnover-rate range of 3% to 12% with a reversal pattern and a signal described as the start of a major advance. Its example formula adds a close-above-moving-average condition and platform-specific filters. The…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This short-term equity screen combines a large daily range, a recent strong up day, elevated current volume, and an opening price above the prior close. The stated lookback is 25 trading days for the strong-gain condition. The article describes the…

AkcijasTehniskie indikatoriCenas impulssCenas izrāviens
BigQuant

This research outline proposes allocating among equity industries by tracking the behavior of different market participants. It motivates industry rotation with the observation that returns can diverge substantially across sectors and styles, so broad asset…

AkcijasĶīnas tirgiTirgus noskaņojumsPortfeļa veidošana
MQL5 code base

The indicator estimates the relative strength of a selected currency from the closing prices of seven currency pairs that contain it. A zero reference line represents the average over a configurable period, and a colored histogram is intended to make the…

Valūtu tirgusTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines an amplitude threshold with simultaneous crossovers among three moving-average pairs and at least one limit-up event during roughly the prior month. It is presented as a way to find shares showing strong recent movement and…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

The post describes a stock screen requiring a ticker that begins with 60, turnover between 3% and 12%, and total market value above 200 million yuan. Its Python example retrieves listed-stock information, checks the ticker prefix, and then filters daily data…

AkcijasĶīnas tirgi
SuperMind

This post outlines a stock selection screen based on three stated conditions: association with the metaverse theme, an upward-sloping 30-day moving average, and turnover between 2% and 9%. The accompanying indicator references and Python example illustrate…

AkcijasĶīnas tirgiTehniskie indikatori
BigQuant

The document describes a commodity futures strategy that ranks 28 markets by changes in Twitter-derived sentiment. It calculates daily sentiment from keyword-matched posts using a financial sentiment dictionary, then forms equal-weighted long and short…

Nākotnes līgumiIzejvielasTirgus noskaņojumsFaktoru ieguldīšana
BigQuant

This document outlines an event-driven study of how MSCI inclusion announcements affected the prices of Chinese A-shares. It describes estimating CAPM parameters from a historical period, using those parameters and subsequent market index returns to…

Ķīnas tirgiAkcijasUz notikumiem balstīta tirdzniecībaStatistika
SuperMind

This document presents a short-term Chinese stock selection rule based on three market activity measures: turnover between 3% and 12%, first-level bid volume greater than ask volume, and a volume ratio between 1.5 and 6. It frames the turnover and order-book…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This document describes a daily stock screen combining price movement and a basic valuation condition. It selects stocks with amplitude above 1, at least two limit-up events within the prior 500 days, and a positive P/E ratio. The rationale is that recent…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese-language article proposes screening mainland-listed stocks for a turnover rate between 3% and 12%, excluding Beijing-listed shares, and requiring a rising-bottom pattern. Its accompanying Python example adds further filters, including excluding…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
Lumibot

This strategy organizes research and trading for same-day-expiration bear call spreads through separate agents. A researcher gathers account and market information, checks the listed expiration, contract Greeks, and bid-ask quality, then identifies a short…

OpcijasRiska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpilde
BigQuant

The document summarizes research on forecasting multiple future steps from limit order book data. Rather than predicting only one future point, the proposed approach uses sequence-to-sequence encoder-decoder networks with attention to generate a path of…

Tirgus mikrostruktūraMašīnmācīšanāsAugstas frekvences tirdzniecībaRīkojumu izpilde