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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
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

The document outlines a daily stock screen that requires price range to exceed one percent of the prior close, a positive price-to-earnings ratio, and a rising 30-day moving average. It interprets these conditions as combining recent trading activity,…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This document describes a Chinese equity screen combining three conditions: membership in the metaverse industry, an arc-shaped price pattern, and a weekly close crossing above its 30-week moving average. It presents the moving-average cross as a way to…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
SuperMind

The document explains how multi-factor models describe asset returns through factor exposures, factor returns, and asset-specific residuals. It presents Barra as a framework for estimating portfolio risk by combining factor covariance with specific risk, and…

AkcijasFaktoru ieguldīšanaRiska pārvaldībaPortfeļa veidošana
SuperMind

This proposed daily Chinese stock screen combines three conditions: an intraday high-low range above 1% of the prior close, at least two limit-up events over the preceding 500 sessions, and positive large-order net inflow during the afternoon. The post…

AkcijasSvārstīgumsTirgus mikrostruktūraĶīnas tirgi
SuperMind

This proposed Chinese stock screen focuses on companies classified in the metaverse theme. It requires the current close to be above the five-day moving average and applies a prior-session price-change filter intended to exclude stocks that closed at the…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
BigQuant

This research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
SuperMind

This research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
SuperMind

This article outlines a simple screen for Chinese equities associated with the metaverse theme. It selects stocks whose actual turnover rate from two trading days earlier falls between 3% and 28%, while excluding stocks that hit the upper price limit on the…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
BigQuant

The document describes how to build daily return data for level-two industries and use it in stock selection. It proposes joining stock industry classifications with daily returns and float market capitalizations, then grouping by industry and date. Each…

AkcijasMašīnmācīšanāsCenas impulssPortfeļa veidošana
MQL5 code base

This short description introduces the Fisher Transform, an indicator developed by John Ehlers. It says the indicator tracks current market movement and that its plotted levels may serve as potential turning points. The stated directional reading is simple: a…

Tehniskie indikatoriCenas impulssStatistika
Hummingbot docs

These release notes describe Hummingbot 1.19.0, focusing on a developing modular strategy framework and early dashboard tools for managing bots and backtests. The framework separates market data candles, controllers that choose actions, and executors that…

KriptoaktīviRežģa tirdzniecībaArbitrāžaTirgus veidošana
SuperMind

The post outlines a Chinese equity screening idea that combines at least five overlapping moving averages, company or industry characteristics, and a 15-minute MACD histogram whose negative bars are getting shorter. It interprets moving average overlap as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock screen selects shares whose daily amplitude exceeds a threshold, whose price is above the five-day moving average, and whose prior session was not a limit-up day. The article frames a larger daily range as potentially useful for short-term trading…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed screen seeks Chinese stocks with turnover between 3% and 12% and a positive gain below 35% over ten days, then looks for three technical indicators to cross upward at the same time. The accompanying formula describes rising 12-period and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
MQL5 code base

This indicator draws two colored filled rectangles on a selected bar to show the space between two Keltner channel values. Its configurable inputs include the smoothing method and length, two deviation ratios, the applied price, band colors, the bar used for…

Tehniskie indikatoriSvārstīgums
FMZ forum

This tutorial develops an earlier cryptocurrency spot hedging bot for trading price spreads between two exchanges. It adds optional spot margin mode switching for Binance, separate trigger thresholds for trades in each direction, chart lines and live spread…

KriptoaktīviTūlītējo darījumu tirgiArbitrāžaRīkojumu izpilde
BigQuant

This brief summary of a 2018 Chinese new-share market review reports that IPO issuance slowed while subscription winning rates remained stable. It also says that new-share subscription returns differed by investor category: A- and B-class investors…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecība
BigQuant

This overview explains active learning as a way to reduce the cost of building supervised or semi-supervised models when expert labels are scarce. A model repeatedly identifies candidate examples for human review, incorporates the resulting labels through…

MašīnmācīšanāsStatistika
SuperMind

This document describes a Chinese stock selection rule combining daily price range, recent limit-up activity, and a long-term moving average. Stocks enter the candidate pool when their amplitude exceeds 1%, at least one limit-up occurred in the prior 25…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
MQL5 code base

This brief note describes a non-averaged, three-line trading indicator whose arrays are displayed as separate lines. Its updated version removes the period input, leaving no user-set formation parameters. The signal guidance centers on a yellow line moving…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldība
SuperMind

This stock-screening proposal combines three conditions: a 14-period RSI below 65, first-level buy volume greater than first-level sell volume, and a rising KDJ component. It presents these as filters for stocks with moderate momentum, buying pressure, and…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
BigQuant

This forum post raises a factor-construction question about accessing older financial statement observations beyond a platform's precomputed factors. The example is operating revenue: the author understands the suffix-zero field to represent the latest…

Faktoru ieguldīšanaAkcijasStatistika
SuperMind

This post describes a Chinese main-board stock screen requiring turnover between 3% and 12%, a daily gain above 1%, and a nonempty name for an outstanding convertible bond. It presents the bond-linked filter as a way to identify companies with…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība