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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
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: daily amplitude above 1, no limit-up close on the prior day, and an opening price near the 10-day moving average. It frames amplitude as a way to find more active stocks, excludes recent…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection approach combines three filters: daily amplitude above 1%, a proxy for afternoon large-order net inflow, and a condition described as at least five moving averages aligning. The accompanying indicator expressions and Python example show…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
FMZ guides

This reference describes the fields used by FMZ trading data structures, including market trades, tickers, candlestick records, orders, and conditional-order configurations. It covers identifiers, timestamps, prices, quantities, volume, open interest, order…

Rīkojumu izpildeTirgus mikrostruktūraVēsturisko datu pārbaudeKriptoaktīvi
MQL5 code base

This indicator uses the Hull Moving Average (HMA) and its slope as a visual criterion for trend direction. After calculating the HMA, it represents the trend through a chart display selected by the user, such as a colored line, bars, or candles. An automatic…

Tehniskie indikatoriSekošana tendencei
SuperMind

This stock screen combines a capital-flow measure with valuation and trend filters. It favors Shenzhen main-board stocks with price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0 to 3.11, then requires the 20-day moving average to be…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
Amberdata research

This market commentary reviews Bitcoin and Ethereum options conditions, covering realized and implied volatility, carry, skew term structures, and relative value. It reports that realized volatility rose, implied volatility did not keep pace in Bitcoin as…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
MQL5 code base

This Expert Advisor contains two Vortex Indicator trading systems, one for long trades and one for short trades. Each side has its own settings, including a distinct magic number and position-sizing method, and can be enabled or disabled independently. The…

Valūtu tirgusTehniskie indikatoriPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
MQL5 code base

This document explains a display method for an indicator: values produced by the iCCI_NR algorithm are rendered as a sequence of candlesticks. The underlying price time series is processed by that algorithm, and the resulting candles offer an alternative…

Tehniskie indikatori
MQL5 code base

This document describes an Expert Advisor that trades signals from a volume-weighted moving-average indicator. It enters when a bar closes with a newly colored signal, following a bar with the opposite color or no color. The approach therefore uses a change…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This post presents an equity screen requiring daily price amplitude above 1, a positive weekly MACD histogram, and exclusion of Beijing-listed shares. It describes amplitude as a way to filter out low-volatility stocks and the weekly histogram as a trend…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This post describes an equity selection screen that combines an RSI below 65 with seven consecutive declining sessions and excludes stocks that hit the daily price limit on the prior day. Its rationale is to identify recently weak stocks while avoiding those…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriĶīnas tirgi
ProRealCode

The document presents a trend-following indicator similar in purpose to Supertrend, but its trailing reversal level is set using a fixed percentage-like step from the close rather than a multiple of average true range. The level adjusts with the direction…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
SuperMind

The document proposes screening Chinese A-share stocks using a daily amplitude threshold, a price condition around 18.5 yuan, and prior-day turnover between 3% and 28%. It explains these filters as ways to select stocks with notable price movement, a chosen…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
ProRealCode

The document describes a Better Volume indicator that classifies bars using volume, price range, candle direction, and estimated volume at the bid or ask. It colors a volume histogram for several conditions: high-volume wide-range up or down bars,…

Tehniskie indikatoriTirgus mikrostruktūraStatistikaAkcijas
BigQuant

The document presents a way to estimate how often a one-minute Chinese convertible-bond bar closes above its open after three consecutive up bars. It converts each bar’s return into a binary up-or-not indicator, scans the series for three up bars, and counts…

StatistikaVēsturisko datu pārbaudeTehniskie indikatoriFiksēta ienākuma instrumenti
BigQuant

This review of factor performance during the 2018–2020 quant crisis examines why diversified equity strategies struggled. It analyzes standard size, value, investment, profitability, and momentum factors, alongside portfolios formed by sorting stocks on size…

AkcijasFaktoru ieguldīšanaCenas impulssStatistika
BigQuant

This short discussion explains a label distribution chart used when building an AI trading strategy. The horizontal axis represents label identifiers, and the vertical axis shows how many observations belong to each label. The chart can reveal labels with…

MašīnmācīšanāsStatistika
BigQuant

This report presents a three-layer fundamental quant framework: macro indicators and scenario analysis, sector-level earnings and valuation measures, and portfolio strategies. Its macro view combines growth, monetary and credit conditions, and inventory…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
Amberdata research

The document outlines nontraditional ways to study NFT projects, using CryptoPunks as its example. It proposes tracking unique holder wallets to gauge ownership distribution and concentration, and first-time buyers to assess whether new participants are…

KriptoaktīviBlokķēdes datiStatistikaTirgus noskaņojums
MQL5 code base

MyRsi with Noise Elimination Technology is an RSI-style indicator attributed to John Ehlers and described as using a form of Kendall autocorrelation to filter signals. This implementation permits the user to select the input price series instead of always…

Tehniskie indikatoriStatistika
MQL5 code base

OsMaSter is an expert advisor that opens positions with a fixed volume and uses specified stop-loss and take-profit levels. The document lists its basic settings, including position volume and an identifier for the EA, but does not explain the entry or exit…

Valūtu tirgusVēsturisko datu pārbaudeRiska pārvaldībaPozīcijas apjoma noteikšana
SuperMind

This post proposes screening equities for turnover within a specified range, seven consecutive down days, and a rising-bottom price pattern. It frames the combination as a way to examine stocks after a decline while looking for a possible base or rebound.…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
SuperMind

This post describes a stock screen that combines at least five overlapping moving averages, a share price below a stated ceiling, and revenue growth between two fiscal years. The intended rationale is to find stocks with clustered trend measures and a…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This Chinese-language post proposes an equity screen using three conditions: amplitude above a threshold, rising price lows, and positive returns. The rationale is to exclude stocks with little movement, identify a potential base with progressively higher…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība