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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
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Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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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
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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
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Binance API docs
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FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
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Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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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

This Chinese stock-screening post selects shares with daily amplitude above 1%, no limit-up close on the previous day, and at least one daily gain of 10% or more during the last 25 trading days. It frames amplitude as a way to find more volatile names and…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
OctoBot

This guide describes connecting TradingView alerts to OctoBot so alerts can trigger orders on a chosen exchange. It covers alerts based on price thresholds, indicator values, and Pine Script strategies. The setup involves adding the TradingView interface to…

KriptoaktīviRīkojumu izpildeTehniskie indikatori
SuperMind

This Chinese stock-screening post describes selecting shares with turnover between 3% and 12%, a circulating share count no greater than 5.5 billion, and an appearance on the previous day’s public top-trader list. It explains the list as a disclosure…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaRiska pārvaldība
SuperMind

This stock screen combines a turnover-rate range with seven consecutive declining sessions. Its initial conditions require turnover between 3% and 12%, plus current turnover above 2% and below 9%; together, these overlapping limits make the effective current…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
ProRealCode

This indicator presents a simplified trend analyzer associated with Elliott-wave analysis. Its calculations compare fast and slow exponential averages, then normalize three price-derived series—the fast-minus-slow spread, the fast average, and the slow…

AkcijasSekošana tendenceiTehniskie indikatoriCenas impulss
ProRealCode

This indicator combines a configurable moving average with symmetric bands whose width is an ATR multiple. A persistent trend state turns bullish when price closes above the upper band and bearish when it closes below the lower band; it remains unchanged…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
SuperMind

This document describes a Chinese stock-selection screen using three conditions: RSI below 65, seven consecutive bearish days, and a stated “today control” measure above 21. It presents the screen as a way to find shares that have fallen for several sessions…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
MQL5 code base

This document describes a MetaTrader 4 order-management system in which an Expert Advisor monitors trades and chart scripts create or adjust entry, stop-loss, and take-profit lines by drag and drop. Because the lines are monitored on the trader’s computer…

Valūtu tirgusRīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšana
SuperMind

This Chinese-language post outlines a stock screen combining three conditions: daily amplitude above one percent, a trading date in 2021, and a Dragon-Tiger List appearance on the prior day. It explains amplitude as a signal of elevated price movement and…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
MQL5 code base

This document describes a MetaTrader indicator for calculating a euro currency index from five euro exchange rates: EUR/USD, EUR/JPY, EUR/GBP, EUR/SEK, and EUR/CHF. Each rate is raised to a specified weight and multiplied by a constant to form the index. The…

Valūtu tirgusTehniskie indikatoriStatistika
SuperMind

This Chinese equities screening idea selects stocks with turnover between 3% and 12%, at least one limit-up event within the prior 25 days, and a nonnegative reading for the previous day’s main-fund control or flow measure. The post frames these conditions…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
Kraken Learn

Chiliz is described as a blockchain-based sports fan engagement platform. Its native CHZ token is used to acquire team-specific Fan Tokens, which participating clubs can configure to provide perks such as events, memorabilia, or voting on selected team…

KriptoaktīviBlokķēdes datiTirgus noskaņojums
ProRealCode

This indicator colors candles according to the direction of a trend oscillator and a separate measure of movement strength. Users can choose MACD, Momentum, or the directional indicator from ADX for trend direction, and ATR or ADX for strength. When both…

Tehniskie indikatoriSekošana tendenceiCenas impulssSvārstīgums
Amberdata research

This product update describes two types of on-chain data for analyzing decentralized finance activity. Lending and borrowing summaries aggregate deposits, borrows, protocol revenue, liquidations, and withdrawals across protocols, assets, and chains, with…

DeFiBlokķēdes datiTirgus mikrostruktūra
ProRealCode

This indicator method turns detected pivot highs and lows into smoothed resistance and support lines, then plots their midpoint. A pivot is identified by comparing a candidate bar’s low or high with surrounding bars: the example checks four bars before and…

Tehniskie indikatori
BigQuant

This platform support note addresses why an order query may return no information in a pre-market handler even though it can return information after the market session. The question concerns using existing orders to build a process that cancels orders at…

Rīkojumu izpilde
Amberdata research

This podcast recap follows quant Artur Sepp’s move from traditional finance into crypto derivatives. It describes his work on delta-neutral options strategies, volatility modeling, and market making in illiquid options, where one-sided order flow and…

KriptoaktīviOpcijasSvārstīgumsTirgus veidošana
vn.py community

This brief forum exchange explains a basic data requirement for calculating an intraday volume-weighted average price. One participant proposes dividing cumulative traded turnover by cumulative volume, which yields the day’s running VWAP when both figures…

Tehniskie indikatoriTirgus mikrostruktūraRīkojumu izpilde
BigQuant

This research note presents investor mood as a possible explanation for seasonal patterns in both market returns and the relative performance of stocks. It hypothesizes that assets that perform well in historically upbeat periods will tend to do so again in…

AkcijasTirgus noskaņojumsFaktoru ieguldīšanaStatistika
SuperMind

This proposed Chinese equity screen selects stocks with daily amplitude above 1%, circulating market capitalization above 10 billion yuan, and closing price above the five-day moving average. The article presents amplitude as a measure of trading activity,…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock screen requires turnover between 3% and 12%, a listing on the previous day's trading leaderboard, and a rising-bottoms condition. The article represents the last condition with a positive 60-period bias-power measure. It presents the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese stock screen ranks stocks by trading-volume strength, excludes Beijing-listed shares, and selects stocks whose bearish MACD histogram bars are shortening on a 15-minute chart. The article interprets stronger volume ranking as a sign of…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and turnover between 3% and 12%. The article interprets the RSI threshold as avoiding highly overbought stocks, the repeated down…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
ProRealCode

The indicator combines weighted averages of highs and lows to form channel levels, a Hull moving average for trend display, and relative volume to qualify breakouts. A bullish or bearish breakout is identified when price crosses a stored channel boundary in…

Tehniskie indikatoriCenas izrāviensCenas impulssSvārstīgums