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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

BigQuant

This tutorial explains how to use Seaborn to explore financial data through matrix plots, plot grids, regression plots, and style settings. It uses stock financial statement data to demonstrate correlation heatmaps, including annotations and color maps, and…

AkcijasStatistikaTehniskie indikatori
ProRealCode

This indicator adapts the idea of nested Hurst channels by plotting a shorter-cycle channel inside a medium-cycle channel. Both use smoothed price averages as centers and average true range offsets to set their upper and lower bounds. The description frames…

Tehniskie indikatoriSvārstīgumsAtgriešanās pie vidējās vērtības
MQL5 code base

This expert adviser places a Buy Stop above the high of bar one and a Sell Stop below its low, with a configurable offset. The setup seeks to enter when price moves beyond that bar’s range. Its parameters include stop loss, take profit, trailing stop…

Valūtu tirgusCenas izrāviensRīkojumu izpildeRiska pārvaldība
BigQuant

This Chinese-language question and answer explains why a strategy’s apparently strong later years in a long backtest may not reproduce the same pattern when tested over those years alone. It identifies several possible causes rather than prescribing a single…

Vēsturisko datu pārbaudeStatistikaAkcijas
MQL5 code base

This indicator builds price and volume distributions from lower-timeframe candle data, then displays Value Area High, Point of Control, and Value Area Low. It distinguishes developing levels for the active profile from completed levels for the prior profile,…

Tehniskie indikatoriTirgus mikrostruktūraCenas izrāviens
SuperMind

The document describes a Chinese stock selection screen that combines a 14-period RSI below 65, the product of percentage price change and an oversized-order net inflow measure above 1, and a circulating market capitalization between 5 billion and 10 billion…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
MQL5 code base

This note describes an intraday extension of the Keltner channel. The channel combines a simple moving average with average true range multiplied by a user-selected factor; this variant uses intraday ATR. It further modifies the basic intraday version by…

Tehniskie indikatoriSvārstīgums
MQL5 code base

The document introduces a gradient version of a double-smoothed exponential moving average. It distinguishes this indicator from the commonly named double EMA, noting that the calculation differs despite the similar name. The author characterizes it as…

Tehniskie indikatoriSekošana tendencei
Hummingbot docs

This documentation explains how Hummingbot Gateway connects to Orca, a Solana-based decentralized exchange. It describes support for legacy automated market maker pools and Whirlpools, which use concentrated liquidity. Users configure a Solana wallet and…

KriptoaktīviDeFiBlokķēdes datiRīkojumu izpilde
SuperMind

This document describes a Chinese equity screen that looks for stocks with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. Within those limits, it selects stocks whose closing price has fallen on each of the…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
MQL5 code base

The Laguerre indicator described here plots a weighted trendline in a separate chart window and is presented as a possible aid for simple entry and exit signals. It is custom-built and does not depend on the standard MetaTrader indicators. The page says…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
OctoBot

Staggered Orders is a grid-like trading mode intended for sideways markets. A trader sets upper and lower price bounds, along with a spread and increment; the system then calculates the buy and sell orders needed to cover that range and uses available funds.…

KriptoaktīviRežģa tirdzniecībaTūlītējo darījumu tirgiPortfeļa veidošana
SuperMind

The document describes a Chinese equity screening rule that starts with stocks classified in the metaverse theme, applies a minimum threshold for circulating market capitalization, then ranks candidates by the day’s auction amount and selects the five…

AkcijasĶīnas tirgiCenas impulssVēsturisko datu pārbaude
ProRealCode

The document defines a simple candlestick signal that labels a bar as bullish, bearish, or neutral. A bullish signal requires the current candle to close above its open and above the previous high, while opening below the previous low. A bearish signal…

Tehniskie indikatoriAkcijas
SuperMind

This A-share screening idea focuses on stocks in the metaverse industry. It looks for a fresh KDJ bullish crossover alongside a pattern described as rising lows, with selection limited to before 10:00 and to stocks marked as tradable. The supplied examples…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
ProRealCode

This intraday Germany 30 strategy combines the direction of a 20-period moving average with 12-period momentum and a 20-period RSI. It opens long positions when price is above the average, momentum is rising across recent readings, and RSI crosses above 70.…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
SuperMind

This Chinese A-share stock screen selects shares with current turnover between 3% and 12%, excludes Beijing-listed stocks, and requires the previous day's turnover to exceed 8%. The rationale is to find liquid stocks that have recently attracted trading…

AkcijasĶīnas tirgiTehniskie indikatori
MQL5 code base

This document explains a way to identify binary options symbols among instruments listed in MetaTrader 4’s Market Watch. Broker naming conventions vary: some append a suffix, others use a different marker, and some may follow another pattern. As a result,…

OpcijasRīkojumu izpildeTirgus mikrostruktūra
MQL5 code base

This document describes a simple indicator that expresses an asset’s recent high-low price range in points. For each averaging period, it sums the maximum prices and subtracts the sum of the minimum prices; the result is averaged using a selectable…

SvārstīgumsTehniskie indikatoriStatistika
SuperMind

This document presents a Chinese A-share screening idea combining technical signals with a basic profitability filter. The stated criteria include RSI below 65, an external-to-internal trading volume ratio above 1.3, and at least five moving averages…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
BigQuant

This reading list summarizes three studies on portfolio construction. One develops a finite-horizon allocation framework using nominal assets, with closed-form optimal strategies and utility. It describes how hedging demand depends on the investor’s horizon,…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaFiksēta ienākuma instrumenti
SuperMind

The document presents a stock-screening idea that combines MACD above its zero line, upward-diverging daily moving averages, and an external-to-internal trading volume ratio above a stated threshold. It then extends the screen with fundamental filters:…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
BigQuant

The page reports a user’s concern that the Chinese stock 600256 had incorrect values for the total-liabilities factor fs_total_liability_0 over a historical interval in 2021. The user says values for other periods agreed with Eastmoney data, while the…

AkcijasĶīnas tirgiStatistika
Lumibot

The document describes TradingSlippage as an execution cost applied during backtesting to SMART_LIMIT fills. It says slippage can be supplied at the strategy level, with separate lists for buy and sell orders. This lets a researcher model an assumed cost on…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūra