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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
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Amberdata research
Dokumentu skaits: 766
FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
Dokumentu skaits: 340
QuantStart
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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

MQL5 code base

This expert advisor places breakout entries using pending buy-stop and sell-stop orders, subject to an hour-of-day filter. When a new bar appears during one of three configured hours, it measures the current bar’s high and low and offsets the respective…

Cenas izrāviensSvārstīgumsPozīcijas apjoma noteikšanaRiska pārvaldība
SuperMind

This stock screen targets companies in a designated metaverse category whose latest close is above the prior close, with bullish conditions from MACD and moving averages. The final rules require DIF above DEA, a five-day average crossing above the ten-day…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document outlines a Chinese equity screen for stocks in the metaverse sector, using circulating market capitalization and historical returns as filters. Its initial description says to require market capitalization above a stated threshold and positive…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
Amberdata research

This podcast recap explains BitMEX’s derivatives trading model through an interview with its CEO. It describes the platform as matching traders against one another rather than acting as the counterparty, then outlines a liquidation process supported by an…

KriptoaktīviAtvasināto instrumentu cenu noteikšanaPerpetuālie nākotnes līgumiTirgus mikrostruktūra
SuperMind

The document describes a Chinese stock selection screen combining a daily price range above 1% of the opening price, a high trading-volume threshold, and a positive opening gap. It frames these filters as a way to find active, liquid stocks where market…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The proposed stock-selection process ranks shares by volume ratio and keeps the top 100, then filters for a stated maximum circulating share count and an upward 30-day moving-average condition. The post explains these as proxies for trading interest, smaller…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
ProRealCode

The document defines a swing high or low by comparing a middle bar with the bars immediately before and after it. A swing high occurs when both the middle bar’s high and low exceed the corresponding values of both neighboring bars. A swing low occurs when…

AkcijasTehniskie indikatori
SuperMind

The document describes an equity screen seeking stocks with an intraday range of at least 1%, turnover above 2% and no more than 9%, volume above 10,000 lots, and an opening price close to the high. It frames these conditions as filters for volatility,…

AkcijasTehniskie indikatoriSvārstīgums
ProRealCode

The document defines a volume weighted moving average (VWMA) as the sum of each period’s closing price multiplied by its volume, divided by total volume over the same lookback. It recommends comparing the VWMA with a simple moving average (SMA) calculated…

Tehniskie indikatoriAkcijasStatistika
Hummingbot docs

This guide explains how Hummingbot organizes automated trading into executors, scripts, controllers, and a market data provider. Executors handle a bounded order workflow, including placing, managing, and closing orders. Scripts run continuously and suit…

Rīkojumu izpildeTirgus mikrostruktūraVēsturisko datu pārbaude
MQL5 code base

This short entry identifies ColorFisher_m11 as an oscillator based on the inverse Fisher Transform. It records that the indicator was first implemented in MQL4 and published in 2008, and credits MartinG as the author. The entry provides no formula, parameter…

Tehniskie indikatori
BigQuant

This report reviews China’s digital finance industry as user growth matures and competition shifts toward retaining and serving customers and merchants. It compares finance apps across user scale, growth, market concentration, and engagement, and describes…

Vairāku aktīvu tirdzniecībaĶīnas tirgiAkcijas
SuperMind

This stock-selection idea combines three filters: price amplitude greater than 1, the 9:25 price gain below 6%, and revenue in 2021 more than 1.1 times revenue in 2018. It frames the filters as a blend of volatility, a short-term price condition, and…

Ķīnas tirgiAkcijasSvārstīgumsFaktoru ieguldīšana
ProRealCode

This indicator adapts Average True Range for comparing stocks with different share prices. Standard ATR is expressed in price units, so equal ATR readings can represent different relative moves for securities trading at different prices. The proposed…

Tehniskie indikatoriSvārstīgumsAkcijas
SuperMind

This note describes a Chinese stock screen combining a turnover-rate band of 3% to 12% with year-over-year growth in net profit attributable to parent-company shareholders between above 20% and 100%. It also calls for a “circular arc” indicator shape,…

Ķīnas tirgiAkcijasTehniskie indikatori
MQL5 code base

The document defines a modified stochastic indicator and lists its configurable inputs: the %K and %D periods, slowing, smoothing methods, and overbought and oversold levels. Its calculation first derives a fast %K value from the close’s position within the…

Tehniskie indikatoriNākotnes līgumi
BigQuant

This article explains risk parity as an allocation approach that assigns comparable risk contributions across assets or risk factors, unlike capital-weighted mixes such as a conventional stock and bond portfolio. It lays out assumptions behind the method,…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaSvārstīgums
Amberdata research

This market update reviews spot exchange activity, Uniswap v3 pool volumes, DeFi lending, and Bitcoin network indicators. It highlights stablecoin-to-asset pools as a major source of Uniswap v3 trading volume, and proposes tracking new stablecoins’ pool…

KriptoaktīviDeFiBlokķēdes datiTūlītējo darījumu tirgi
SuperMind

This stock-selection rule combines daily price amplitude above 1, RSI below 65, and revenue in 2021 more than 1.1 times revenue in 2018. The document describes the mix as a way to pair technical conditions with a measure of company growth. Its formula and…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This Chinese stock screen selects shares with turnover between 3% and 12%, an external-to-internal traded-volume ratio above 1.3, and no limit-up close on the previous day. The post describes these criteria as a way to combine liquidity, buying pressure, and…

AkcijasTirgus mikrostruktūraTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese stock-selection example combines a technical condition with trading-flow measures. It screens for stocks with RSI below 65, a positive product of percentage price change and the net inflow ratio of very large orders, and positive institutional…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
ProRealCode

This indicator uses a slow Supertrend to define trend legs and automatically anchor Fibonacci retracement levels to each leg. At a trend flip, it resets the anchors using the flip bar and a five-bar lookback, then updates them as the leg makes new highs or…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
SuperMind

This Chinese community post describes an equity screen requiring a price-range condition, circulating market value above 10 billion yuan, and a 9:25 a.m. gain below 6 percent. The rationale is to find larger companies with some price movement while excluding…

AkcijasĶīnas tirgiTehniskie indikatori
ProRealCode

This indicator description combines directional movement from ADX with Bollinger Bandwidth to visualize trend direction alongside volatility expansion. It colors the histogram green when the positive directional indicator is at least the negative one, and…

Tehniskie indikatoriSvārstīgumsSekošana tendencei