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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
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
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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
WonderTrader
Dokumentu skaits: 14
Alphalens
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: 12,226

SuperMind

This proposed stock screen combines three ideas: institutional buying activity above a stated share of trading volume, reported institutional accumulation near a price low, and a positive but capped ten-day gain. The article presents the combination as a way…

AkcijasCenas impulssTirgus noskaņojumsĶīnas tirgi
SuperMind

This A-share stock screen combines a positive MACD reading with an upward-moving average condition, then ranks candidates by the day’s auction amount and selects the top five. The article frames auction value as a possible sign of buying interest: stocks…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed stock screen combines three conditions: amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and a morning-star candlestick pattern. The document treats the amplitude filter as a way to find volatile stocks,…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

The document proposes screening equities in the beverage and alcohol import-export industry using a relative strength index (RSI) threshold and a weekly moving-average crossover. Its initial description uses a cross above the 30-week average, while its final…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This document explains the purpose and use of a repository of example strategies for Jesse, a trading research platform. The examples are intended to demonstrate different implementation approaches, indicators, and strategy functions. Users can copy a…

Vēsturisko datu pārbaudeTehniskie indikatoriRiska pārvaldība
SuperMind

This document describes a Chinese equity screen that combines an amplitude threshold, high current trading volume, an opening price above the prior close, and seven consecutive declining sessions. It frames the setup as a way to find heavily traded, volatile…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

The post describes a Chinese equity screen requiring a turnover rate between 3% and 12%, a stock code beginning with 60, and a positive daily MACD reading. It frames positive MACD as a sign of an upward trend and moderate turnover as a selection constraint.…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post outlines a Chinese equity screen for companies associated with the metaverse theme. It combines an RSI reading below 65 with market capitalization below 10 billion yuan and a history described as having no losses. It also mentions filtering for…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This post describes a screen for Chinese stocks associated with the metaverse theme. It selects stocks whose closing price is above the five-day moving average and whose 20-day moving average is above the 120-day moving average. The short average condition…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This post proposes an A-share selection rule using three conditions: at least five moving averages are said to converge, a morning-star candlestick pattern appears, and the gain observed at 9:25 is below 6%. It frames the moving-average condition as a sign…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The proposed stock screen combines three conditions: daily price range above a threshold, MACD above its zero line, and positive afternoon net large-order inflow. The accompanying rationale treats a wide range as evidence of volatility, positive MACD as a…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This article proposes a Chinese stock screen requiring at least five moving averages to converge, appearance on the previous day's market activity list, and a shortening MACD histogram on a 15-minute chart. It interprets clustered averages as a stable…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This article describes a Chinese stock screen combining RSI below 65, membership in the beverage and alcohol import-export industry, and positive net buying pressure from the opening auction. It presents the auction-flow condition as a short-term measure of…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post outlines a Chinese equity screen that combines price behavior with a share-float constraint. It selects stocks with amplitude above 1, a rising bottom pattern, and a circulating share count no greater than 5.5 billion shares. It gives example…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese equity screen selects stocks with a daily high-to-low range greater than 1% of the opening price, whose codes begin with 60, while excluding Beijing-listed shares. The article provides example formula and Python references and describes the…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese equity screening proposal selects stocks whose daily amplitude exceeds 1, whose prior-day turnover rate multiplied by the ratio of current-day auction volume to prior-day volume falls between 0.5 and 2, and whose closing price is above the…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese equity screening idea combines a technical condition with company size and earnings growth. It selects stocks with RSI below 65, a stated free-float market capitalization between 5 billion and 10 billion yuan, and year-over-year growth in net…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese-language post proposes a stock screen combining technical and company filters. It selects stocks with MACD above zero, a positive recent rise in the KDJ K value, and a favorable company classification. The accompanying formula also restricts…

AkcijasCenas impulssTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese-language post describes a momentum-oriented stock screen using three conditions: position growth above 5% for the day, moving averages spreading upward, and at least two limit-up sessions within the prior 500 days. The rationale is that rising…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This proposed daily premarket stock screen combines positive MACD, a non-ST restriction, market-heat ranking, and a five-session limit-up pattern. The pattern is described as five consecutive sessions in which each day reached a stated return threshold over…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share screening proposal looks for stocks in the metaverse concept group whose MACD line crosses its signal line while the five-period moving average crosses above both the ten- and twenty-period averages. It then ranks qualifying stocks by reported…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This screening idea selects stocks assigned to the metaverse industry when trading volume is between 1.5 and 6 times its five-period average and MACD is above zero. The article treats elevated but bounded relative volume as a liquidity or activity filter and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines an industry filter for beverage and alcohol import or export businesses with a turnover-rate range and a 15-minute MACD condition. It seeks stocks whose MACD histogram remains below zero while its negative bars are becoming…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post describes using Wencai, a stock-screening feature in the Tonghuashun platform, to build stock lists from natural-language-like query statements. It says a strategy can run a query and save the resulting list as a CSV file, offering a way to…

AkcijasĶīnas tirgi