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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
Alphalens
Dokumentu skaits: 14
WonderTrader
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

BigQuant

This factor note defines a volume-weighted measure of a stock’s intraday relative price range. For each instrument and date, it calculates the high-low range divided by the opening price, weights that value by volume, and divides the summed weighted values…

AkcijasSvārstīgumsFaktoru ieguldīšanaStatistika
vn.py community

This forum post raises implementation questions about historical data warm-up in VeighNa portfolio strategies. The author considers a strategy whose longest signal period is 20 days and asks whether an ArrayManager size of 25 is sufficient, and whether that…

Vēsturisko datu pārbaudeTehniskie indikatoriRīkojumu izpilde
SuperMind

This post outlines a Chinese stock screen for companies in a metaverse-related category, with previous-day turnover above 8% and tradable shares capped at 5.5 billion. It explains tradable float as shares available for market trading after restricted or…

AkcijasĶīnas tirgiTirgus mikrostruktūraCenas impulss
SuperMind

This document describes a Chinese equity screening rule combining daily price range, a reversal pattern, and a recent limit-up. Its refined version looks for a range above 1%, a reversal pattern within the latest three trading days, and at least one limit-up…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This post describes a daily screen for main-board stocks, excluding the technology-focused board. It selects shares with turnover between 3% and 12%, a gain above 1% relative to peers in the same board, and a day high that is the highest across two days. The…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This post describes a technical stock screen framed around price amplitude above one, a K-line condition below twenty, and an arc-shaped indicator. Its sample formulas add comparisons between the arc signal and its moving average, rising volume, and changes…

AkcijasTehniskie indikatoriĶīnas tirgi
BigQuant

This article summary presents a quantitative framework for combining conventional alpha factors with ESG-related signals in equity portfolios. It distinguishes exclusion screens, ESG integration, and impact investing, then focuses on integration: investors…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldība
SuperMind

This Chinese stock-screening post proposes ranking equities by capital-flow strength, using measures such as net inflows and turnover, then selecting stocks where three technical indicators show simultaneous golden crosses. The examples named are Bollinger…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
MQL5 code base

This trading system combines three Stochastic indicators operating on different timeframes. Two indicators establish directional bias by comparing each Stochastic reading with its signal line. A third, lower-timeframe indicator provides the entry trigger…

Valūtu tirgusTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
NautilusTrader

The document explains how a trading system can represent a tokenized asset that tracks an external security, such as a stock or fund traded on a crypto venue. It defines the instrument’s identity, currencies, asset classification, price and quantity…

KriptoaktīviAkcijasTūlītējo darījumu tirgiTirgus mikrostruktūra
SuperMind

The document describes a Chinese stock screening strategy that combines technical and fundamental filters. It selects stocks with at least five moving averages on the daily chart, at least two limit-up sessions within the past 500 days, and a pre-open gain…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
ProRealCode

This indicator description adapts the pocket pivot concept associated with Chris Kacher and Gil Morales. It flags an up day when the close is above a longer-term moving average and the day's volume exceeds the largest volume seen on a down day in the recent…

AkcijasCenas impulssTehniskie indikatoriCenas izrāviens
MQL5 code base

This reference explains a chart tool that plots price values vertically and their frequencies horizontally, showing how bid and ask observations are distributed around the current bar. Histograms can extend left, right, or both ways, and can represent either…

Tirgus mikrostruktūraStatistikaTehniskie indikatori
SuperMind

This stock-screening proposal combines three conditions: daily price amplitude above one percent, a newly formed KDJ golden cross, and positive recent price changes across several lookback periods. The article interprets the amplitude filter as selecting…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
Cryptohopper blog

This introductory guide surveys active and passive approaches to cryptocurrency trading. Its active strategies include day trading, swing trading, trend trading, and scalping. It distinguishes them by holding period, monitoring demands, and the kinds of…

KriptoaktīviSekošana tendenceiCenas impulssTirgus mikrostruktūra
SuperMind

This note proposes screening stocks with RSI below 65, a rising MACD signal line (DEA), and a shortening negative MACD histogram on a 15-minute chart. It gives standard MACD and RSI parameter references and a Python example that iterates through stocks,…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screening idea requires a stock to belong to the metaverse theme, show positive net buying by major participants during the opening auction, and have prior-day auction turnover above 0.26. The rationale is to combine a market-theme filter…

AkcijasĶīnas tirgiTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This proposed Chinese equity screen looks for robot-concept stocks with an intraday amplitude above 1%, circulating market value below 10 billion, and an opening auction gain between -2% and 5%. The article’s proposed refinement adds a requirement that the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
ProRealCode

The Max Deviation indicator measures the range between the highest high and lowest low across a configurable lookback window. Subtracting the window’s lowest low from its highest high produces a simple measure of the instrument’s total price movement during…

Tehniskie indikatoriSvārstīgumsStatistika
SuperMind

This A-share screening idea combines a 14-period RSI below 65 with year-over-year growth in parent-company net profit above 20% and no more than 100%. It also requires a daily gain above 1% and focuses on main-board stocks. The intended combination is a…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
MQL5 code base

This expert advisor uses three moving averages to define entry conditions. A buy opens when the fast average crosses above the middle average while both remain below the slow average. The sell condition reverses the crossover direction and requires the fast…

Tehniskie indikatoriSekošana tendenceiPozīcijas apjoma noteikšanaRiska pārvaldība
SuperMind

This Chinese-language post describes a stock-selection screen for shares whose codes begin with 60, whose daily high-to-low range exceeds one percent of the opening price, and where the KDJ indicator has just formed a bullish cross. The post explains the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

The trading system described uses the ColorTrend_CF indicator to detect changes in trend direction. It generates a signal when a bar closes and the indicator’s cloud changes color. The document identifies a historical test on XAUUSD at the four-hour interval…

IzejvielasSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude