Pāriet uz saturu

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
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 79,386

BigQuant

This article introduces convolutional neural networks and explains how one-dimensional convolutions can extract local patterns from financial time series. It describes convolution as applying learned weights across sequence windows, while pooling summarizes…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaude
Cryptohopper blog

The article explains how Bollinger Bands can help traders assess crypto volatility and possible market direction. The bands are described as a moving average with upper and lower boundaries typically set two standard deviations away. Narrowing bands indicate…

KriptoaktīviTehniskie indikatoriSvārstīgumsCenas izrāviens
BigQuant

This Chinese-language course description presents limit-up stock counts as a way to identify active areas of the China equity market. It proposes comparing counts across market capitalization, sectors, and industries, using recent industry counts to locate…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
MQL5 code base

SimpleBars is a chart indicator that colors candlesticks according to the highs and lows of earlier bars. Its description identifies the comparison with previous bars as the basis for the visual encoding, allowing traders to inspect recent price structure…

Tehniskie indikatori
SuperMind

This introductory article explains the basic objects and notation of linear algebra used in machine learning and deep learning. It defines scalars, vectors, matrices, and higher-order tensors, with examples such as feature vectors, neural-network weights,…

MašīnmācīšanāsStatistikaPortfeļa veidošana
MQL5 code base

This document describes an MQL5 class for calculating the Triple Exponential Moving Average (TEMA) with a ring buffer. It outlines initialization options such as the period, smoothing method, buffer size, and series orientation, then describes methods for…

Tehniskie indikatoriSekošana tendencei
Binance API docs

This reference explains how to connect to Binance’s SBE market-data WebSocket service and what the streams provide. It covers real-time trade events, best bid and ask updates, incremental order-book depth updates, and periodic snapshots of the top levels.…

KriptoaktīviTūlītējo darījumu tirgiTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This document describes a short-term stock screen using three conditions: daily amplitude above a threshold, a high daily control measure, and a positive product between price change and net flow from very large orders. Its refined version also restricts…

AkcijasCenas impulssTehniskie indikatoriRīkojumu izpilde
MQL5 code base

This document describes an adviser that uses the DeMarker indicator to generate signals and place pending limit or stop orders. It checks for a signal only when a new bar begins, then sets the pending order at a configured distance from the current price. A…

Tehniskie indikatoriRīkojumu izpildeRiska pārvaldība
SuperMind

This note describes a screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose top 20% of shareholders collectively hold less than 70% of shares. It presents these conditions as filters for liquidity and ownership…

AkcijasĶīnas tirgiStatistikaRiska pārvaldība
SuperMind

This note describes a stock screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose price-to-earnings ratio is positive. The code example obtains a current trading date and filters listed stocks using those criteria.…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
MQL5 code base

This note describes a double-smoothed adaptive moving average intended to address frequent slope changes in an adaptive moving average. It places the method in the context of Kaufman's adaptive moving average and a modification that also accounts for where…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
BigQuant

This report reviews Chinese public quantitative funds and private quantitative market-neutral strategies using observations available through March 2022. It groups public funds into market-neutral products, CSI 300 enhanced funds, and CSI 500 enhanced funds,…

AkcijasĶīnas tirgiStatistikaFaktoru ieguldīšana
SuperMind

This proposed equity screen selects stocks with amplitude above 1, an RSI below 65, and prior-day turnover above 60 million. It combines a price-range measure with a momentum oscillator and a liquidity threshold, aiming to find stocks with activity while…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This proposed equity screen combines membership in the metaverse sector, a rounded price pattern, and a circulating share count capped at 5.5 billion. The article frames the float limit as a way to focus on relatively smaller stocks and suggests…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection screen combines price amplitude above 1, a dividend-related payout ratio above 25% for 2019, and a rising-bottom condition. The explanation treats larger amplitude as a sign of greater trading opportunity, the dividend filter as a way to…

AkcijasTehniskie indikatoriSvārstīgumsRiska pārvaldība
MQL5 code base

This MetaTrader expert advisor detects bullish and bearish inside-bar patterns and opens corresponding long or short positions. It offers three position-handling modes: open a position at every signal with stop-loss or take-profit exits; reopen positions in…

Valūtu tirgusCenas izrāviensTehniskie indikatoriRiska pārvaldība
MQL5 code base

The document introduces the DecisionPoint Price Momentum Oscillator, originally developed by Carl Swenlin, and describes a comparison approach attributed to Vitali Apirine. The method applies the oscillator to compare the relative momentum of two securities.…

Tehniskie indikatoriCenas impulssStatistika
Qlib

This configuration describes a Qlib workflow for training a binary LightGBM model on one-minute CSI 300 data from China. It uses the Alpha158 feature handler, robust feature normalization, missing-value filling, and cross-sectional label ranking. The label…

AkcijasAugstas frekvences tirdzniecībaMašīnmācīšanāsĶīnas tirgi
SuperMind

This Chinese equity screening rule ranks stocks by capital strength and requires more than two limit-up days in the past ten days. It also requires a nonempty name for an outstanding convertible bond. The article explains these conditions as signs of…

AkcijasCenas impulssĶīnas tirgiTehniskie indikatori
SuperMind

This research summary reviews six studies on industry rotation and index enhancement in China. Its multi-factor framework considers expected and historical fundamentals, price and volume information, market leadership, and system-risk concentration. It…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaCenas impulss
MQL5 code base

FanMA2 represents a fan of moving averages as an oscillator in a separate chart window. Its values stay within a range of plus one to minus one, and the display includes a smoothed average line. The description outlines the indicator’s configurable…

Tehniskie indikatoriSekošana tendencei