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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

This presentation interprets findings from a 2021 survey of Chinese quantitative investment institutions and discusses how the sector was developing at that time. It covers strategy mixes, research organization, talent, artificial intelligence, alternative…

AkcijasNākotnes līgumiMašīnmācīšanāsFaktoru ieguldīšana
BigQuant

This meetup Q&A contrasts futures CTA strategies, often framed around trend following, with equity multi-factor strategies that combine signals such as value, momentum, quality, and size. It outlines a Bollinger Band example for futures: calculate a…

Nākotnes līgumiAkcijasSekošana tendenceiTehniskie indikatori
SuperMind

This document describes a Chinese equity screen that combines a 14-period RSI below 65, market capitalization of at least 200 million, and earnings growth in 2021. It presents the screen as a way to join a technical condition with size and fundamental growth…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

The document describes a Chinese stock screen using ranked fund-flow strength, a 2019 dividend ratio above 25%, and a 15-minute MACD histogram whose negative bars are shortening. The MACD condition is presented as a possible sign of improving short-term…

AkcijasCenas impulssTehniskie indikatoriTirgus noskaņojums
SuperMind

This proposed equity screen selects beverage and alcohol companies with turnover between 3% and 12% and a 2019 dividend ratio above 25%. The document supplies example screening formulas and Python logic that combine industry membership, historical dividend…

AkcijasFaktoru ieguldīšanaĶīnas tirgi
SuperMind

The document presents a Chinese equity screen combining a daily price range greater than 1%, market capitalization below 10 billion yuan, positive net profits over the latest four quarters, and a share price of at least 18.5 yuan. It frames these conditions…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This stock-selection approach combines a daily turnover band of 3% to 12%, a positive product of price change and large-order net flow, and a Morning Star candlestick signal associated with Kute Intelligent. The document describes the pattern as a way to…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

The document outlines a proposed screen for stocks associated with the metaverse theme. Its final stated rule selects companies with market value no higher than 10 billion yuan, circulating shares no greater than 5.5 billion, and a daily increase in holdings…

AkcijasĶīnas tirgiTirgus noskaņojumsRiska pārvaldība
SuperMind

This document presents an A-share selection rule combining turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and an intraday range of at least 1% relative to the prior close. It frames turnover and range as measures…

AkcijasTehniskie indikatoriSvārstīgumsTirgus mikrostruktūra
SuperMind

The document describes an A-share screen requiring an intraday high-low range above 1%, circulating market capitalization above 10 billion yuan, and a daily increase above 5%. Although the narrative calls the last condition an increase in holdings, the…

AkcijasCenas impulssSvārstīgumsRiska pārvaldība
SuperMind

This proposed daily screen selects stocks in the metaverse sector when KDJ has just formed a bullish crossover and the previous trading day was not a limit-up session. It proposes making the selection before 10 a.m. for trading on the same day. The note…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed stock screen combines a daily volatility filter, a price trend signal, and a profitability criterion. It looks for stocks with an intraday range above 1%, a close crossing above a five-period moving average, and return on equity above 15% for…

AkcijasTehniskie indikatoriSekošana tendenceiFaktoru ieguldīšana
SuperMind

This proposed screen targets stocks classified in the metaverse sector that show a bullish MACD crossover and had a dividend ratio above 25% in 2019. It aims to combine a technical signal with a historical shareholder-payout measure. The article describes…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-equity screening idea combines daily price movement with a concentration filter. It selects stocks whose intraday range exceeds 1%, whose daily decline falls between 4% and 5%, and whose concentration measure is no higher than 20%. The…

AkcijasSvārstīgumsRiska pārvaldībaĶīnas tirgi
BigQuant

This research summary examines quantitative stock selection among Chinese technology companies. It highlights research and development spending as a candidate signal and also discusses profitability, earnings growth, valuation, company size, turnover, and…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaPortfeļa veidošana
ProRealCode

This indicator estimates how often price has crossed levels above the prior candle’s high or below its low, separated according to whether that prior candle was bullish or bearish. It displays the historical percentages at several successive levels on the…

Tehniskie indikatoriCenas izrāviensStatistikaRiska pārvaldība
MQL5 code base

This indicator displays the daily change over a selected number of bars and can play configured alert sounds when the current bar reaches a specified limit. Its purpose is to make a chosen change threshold visible and noticeable on a chart. The document…

Tehniskie indikatori
MQL5 code base

This indicator counts consecutive identical candles across currency pairs and lets the user change the displayed text size. Its proposed use is to notice when a long run of matching candles may precede a correction or reversal. The description provides a…

Valūtu tirgusTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen combines three conditions: daily high-low range exceeds one percent of the low, the J line of a KDJ indicator has just crossed above its D line, and the security has a nonempty name for an outstanding convertible bond. The article provides…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
BigQuant

This example builds a simple portfolio analysis workflow that generates a daily value series for several allocation weights and plots the paths together. A configuration object holds the tested weights, chart dimensions, and date range. The demonstration's…

Portfeļa veidošanaVēsturisko datu pārbaudeStatistika
MQL5 code base

This MetaTrader 5 chart indicator displays the time remaining until the current candle closes alongside the current bid-ask spread in points. The timer refreshes every second, so it continues to update even when no new tick arrives, and also refreshes when…

Tehniskie indikatoriRīkojumu izpildeTirgus mikrostruktūra
SuperMind

This article outlines a Chinese stock screen targeting the metaverse sector. It limits the share float, looks for positive large and extra-large buy orders during the opening auction, and requires an upward trend. The suggested trend check uses MACD, while…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This article describes an intraday Chinese stock screen based on four conditions: price amplitude above a threshold, current volume above a stated level, a higher opening price, and a gain below a cap at 9:25. The idea is to focus on stocks showing price…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori