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

SuperMind

The article describes a stock screen that excludes Beijing-listed shares, selects stocks with a daily high-low range above one percent, and applies a filter based on the prior day's turnover and the ratio of current opening-auction volume to the previous…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This stock selection rule screens companies in the metaverse theme for a closing price above the five-day moving average, trading volume above the stated threshold, and an opening price above the previous close. The article presents these conditions as a way…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
Kraken Learn

The document explains how decentralized exchanges can use liquidity pools instead of a conventional order book. Liquidity providers deposit crypto assets into smart contracts, creating reserves that traders can exchange against. Automated market maker…

KriptoaktīviDeFiTirgus veidošana
SuperMind

This article proposes screening stocks with turnover between three and twelve percent, displayed best-bid volume greater than best-ask volume, and a prior-day condition described as a 9:15 matched price at the daily limit-down. The first two filters are…

Ķīnas tirgiAkcijasTirgus mikrostruktūraRiska pārvaldība
BigQuant

This article describes a stock-selection screen based on three conditions: a daily high-low range above a stated threshold, an opening price near the ten-day moving average, and at least five years since listing. The intended interpretation is that elevated…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This brief article presents ten questions about common assumptions in quantitative research. They concern whether researchers must be highly skilled in statistics, whether borrowed methods can be adopted without adaptation, and whether more variables, more…

StatistikaVēsturisko datu pārbaude
SuperMind

This article outlines a Chinese equity screen for stocks in the metaverse sector. It combines bullish technical signals, including MACD and short moving-average crossovers, with a filter intended to exclude stocks that hit the daily price limit on the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The proposed stock screen filters for amplitude above 1 and a closing price below 20, then ranks candidates by today's auction amount and selects the top five. The article also gives example indicator and Python logic, including a comparison of current and…

AkcijasTehniskie indikatoriĶīnas tirgiSvārstīgums
MQL5 code base

This document describes the implementation of a Non-Lag moving average indicator with ATR bands and an interactive chart panel. The panel can toggle the trend display, be moved, show selected internal values, and report indicator values for a bar chosen on…

Tehniskie indikatoriSvārstīgumsSekošana tendencei
ProRealCode

This indicator marks the opening and closing periods of the Tokyo, London, and New York sessions beneath a price chart. It uses specified clock times to switch each market's display state on and off, then draws a labeled colored marker while that session is…

Tehniskie indikatoriValūtu tirgusTirgus mikrostruktūra
SuperMind

This stock screen combines three technical conditions: daily amplitude above 1, MACD above its zero line, and closing price above the five-day moving average. The document explains these as filters for price movement and recent upward direction, then gives…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document presents a Chinese equity screen that requires a 14-period RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and exclusion of Beijing-listed A shares. The example code applies these filters and, when enough…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity selection rule combining a daily range filter, afternoon large-order net inflow, and a score based on price change multiplied by a large-order volume measure. It ranks candidates by the resulting score and selects the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
vn.py community

This forum exchange concerns changing a Turtle-style CTA strategy from a fixed number of contracts to dynamically calculated trade size based on risk. A user reports editing the strategy code through a backtest interface but seeing results continue to use…

Nākotnes līgumiVēsturisko datu pārbaudePozīcijas apjoma noteikšana
MQL5 code base

The document explains a Donchian Percentage oscillator that expresses the closing price as a percentage of its position between the channel’s lower and upper bounds. The bounds are the lowest low and highest high over a configurable lookback period. A…

Tehniskie indikatoriStatistika
SuperMind

The stated screen looks for stocks with turnover between 3% and 12%, a listing year of 2021, and ownership concentration below 20%. The article treats lower concentration as a sign of more dispersed ownership and suggests that the turnover band may help…

AkcijasĶīnas tirgiRiska pārvaldībaStatistika
SuperMind

The screen selects stocks with turnover between 3% and 12%, beginning with the Chinese stock-code prefix 60, and keeps companies whose 2021 revenue exceeded their 2018 revenue by more than 10%. The article describes this as a way to combine trading activity…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

This stock screen ranks companies by a measure of capital strength, such as net inflows or trading value, and requires at least two limit-up sessions within a 500-day window. The article frames the screen as targeting stocks with strong buying interest and…

AkcijasĶīnas tirgiCenas impulssStatistika
MQL5 code base

This trading-platform script creates pending limit orders from horizontal chart lines named for entry, stop-loss, and take-profit levels. It supports up to four numbered orders. If an order omits an entry or stop-loss line, the script can inherit that level…

Rīkojumu izpildePozīcijas apjoma noteikšanaRiska pārvaldībaValūtu tirgus
BigQuant

This page organizes a beginner-oriented quantitative trading curriculum and links to lessons and example strategy projects. The listed foundations include Python, pandas analysis, historical and financial data access, visualization, and DataFrame plotting.…

AkcijasPāru tirdzniecībaTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

This brief description outlines a trading expert advisor that uses mean reversion, price-action boundaries, and a moving average to orient trades with the broader trend. It also says the tool exposes settings such as lookback periods, RSI thresholds, and pip…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese stock-screening strategy combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and positive net buying by major participants during the opening auction. The article presents a screening expression and a Python…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
ProRealCode

The document presents an intraday CAC 40 strategy on 15-minute bars. At 09:30, it takes a long position if a MACD calculated over a window scaled to represent 14 hours is rising, or a short position if the MACD is falling. It closes positions at 21:45 and…

Nākotnes līgumiTehniskie indikatoriCenas impulssRiska pārvaldība
Amberdata research

This market snapshot discusses three digital-asset themes: institutional Bitcoin adoption, prospective uses for autonomous AI systems in decentralized finance, and tokenization of real-world assets. Its Bitcoin analysis describes a sharp rise above $100,000…

KriptoaktīviBlokķēdes datiTirgus noskaņojumsDeFi