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

Meklēt bibliotēkā

Dokumentu skaits: 79,386

MQL5 code base

The MACD Squeeze indicator adapts the squeeze concept to a MACD histogram. It identifies a potential trading zone when Bollinger Bands contract inside Keltner Bands, using the compression as a condition for deciding when to focus on the MACD signal. The…

Tehniskie indikatoriSvārstīgumsCenas impulss
ProRealCode

This five-minute EURUSD strategy combines a stochastic oscillator with a long-term exponential moving average. A long entry requires the oscillator to remain in an oversold range across several candles, price to be above the moving average, and the…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
SuperMind

The post outlines a Chinese stock screening idea combining a large price amplitude, a three-session limit-up sequence on the prior day, a market capitalization ceiling, and positive earnings. It proposes tightening the amplitude threshold and checking…

Ķīnas tirgiAkcijasCenas izrāviensTehniskie indikatori
Cryptohopper blog

The document explains crypto futures as contracts tied to an underlying asset, contrasting them with spot trading. It describes how traders may take long or short positions based on an expected price rise or fall, and illustrates a short trade in Bitcoin:…

KriptoaktīviNākotnes līgumiAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
ProRealCode

The document presents the components of the Traders Dynamic Index (TDI), an indicator built from the relative strength index. It calculates a central average of RSI values, surrounds it with bands based on their standard deviation, and plots additional short…

Tehniskie indikatoriStatistika
SuperMind

This document describes a Chinese stock screen combining turnover, a robot-industry theme, tradable market value, price change, and large-order flow. Its stated target is robot-related stocks with turnover between 3% and 12%, tradable capitalization below 10…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
MQL5 code base

This document explains a custom MetaTrader 5 MACD indicator that adapts its smoothing to market conditions. It calculates the squared Pearson correlation between closing prices and bar index over a configurable lookback, then uses that value to blend two…

Tehniskie indikatoriCenas impulssSekošana tendenceiStatistika
SuperMind

This document describes a Chinese stock screen combining daily price range, market capitalization, profitability, and a rising-price condition. It selects stocks with an intraday high-low range of at least 1%, market capitalization under 10 billion yuan,…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This A-share screening proposal combines daily price amplitude above 1%, an outstanding convertible-bond name, and a large reversal-style candle. The example formula treats a session as qualifying when the close is at least 5% above the open or the open is…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The article proposes screening A-shares for daily amplitude of at least 1%, market capitalization under 10 billion yuan, positive net profit, and a weekly five-period moving average crossing above the ten-period average. It presents formula and Python…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
Hummingbot docs

These release notes describe trading infrastructure changes in Hummingbot 2.12. Dynamic order book initialization loads books only for trading pairs in use, which the notes say can reduce startup time and memory use for bots configured across many pairs. The…

KriptoaktīviPerpetuālie nākotnes līgumiTūlītējo darījumu tirgiRīkojumu izpilde
SuperMind

The document presents an A-share screening idea combining metaverse industry classification with relative trading volume between 1.5 and 6 times a reference average. It also uses a closing-price ceiling of 18.5 and, in its final version, a…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

The post outlines a proposed stock screen combining company size with a daily increase in positions. It first describes selecting stocks with market capitalization from 2 billion to below 10 billion, then narrows the set to stocks listed during 2021. A daily…

AkcijasĶīnas tirgiCenas impulss
SuperMind

This BigQuant forum answer explains how to use a different feature set in each iteration of a rolling model workflow. The example loop updates training and test start and end dates for each rolling window, disables the backtest module during model runs, and…

MašīnmācīšanāsVēsturisko datu pārbaudeStatistika
SuperMind

This post describes a short-term A-share screening approach that combines daily price range, robotics-related business exposure, a circulating market-cap ceiling, and a positive recent return filter. It also proposes adding industry and valuation or…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
Amberdata research

This report section examines Ethereum’s 2024 market structure using ownership concentration, holder and supply buckets, liquid balances, and valuation measures such as MVRV and NUPL. It compares Ethereum’s concentration patterns with Bitcoin’s and discusses…

KriptoaktīviBlokķēdes datiStatistikaTirgus noskaņojums
SuperMind

This proposed A-share screen combines a daily price-amplitude threshold, a morning-star pattern, and a company-type filter. The post frames it as a blend of technical and fundamental considerations, while its example defines eligible company types through…

AkcijasTehniskie indikatoriRiska pārvaldība
vn.py community

This guide describes a workflow for moving historical daily futures bars from Ricequant into a local VeighNa database backed by MongoDB. It first uses Ricequant’s research environment to retrieve listed futures contracts and daily price fields over a chosen…

Nākotnes līgumiVēsturisko datu pārbaude
SuperMind

This A-share stock screen combines a positive MACD reading, positive trailing P/E, and a control-position ratio above 21. It is intended to run before the market opens each trading day. The document explains the MACD condition as a way to identify strength,…

AkcijasTehniskie indikatoriCenas impulss
FMZ forum

The article defines volatility as the dispersion of continuously compounded returns and explains why higher volatility, all else equal, raises option value. It distinguishes historical volatility, estimated future volatility, traders’ expected volatility,…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
SuperMind

The document presents a Chinese stock-screening idea that combines three technical conditions: at least five moving averages converge, the KDJ indicator has just formed a bullish crossover, and the 30-day average is rising or flat. It interprets clustered…

AkcijasTehniskie indikatoriCenas impulss
ProRealCode

The document explains a configurable scanner for five- and six-pivot harmonic structures. Rather than hard-coding named patterns, users specify acceptable ranges for ratios between legs such as XAB, ABC, and BCD. The scanner builds a recursive zigzag from…

Tehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
SuperMind

This post describes an A-share screening rule based on turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a stated control-strength condition above 21. It presents the screen as a combination of trading activity,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post presents an A-share stock screen combining a daily price-range threshold, a nonempty convertible-bond name field, and a high ranking by large-order net volume. Its stated final selection rule takes the top 30 stocks by daily large-order net volume,…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori