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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
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
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: 12,226

SuperMind

The document describes a stock screen combining price amplitude above 1, rising bottoms, and a low-price condition expressed as a prior low below 20. It provides sample indicator logic and partial Python code, and suggests adding volume or moving-average…

AkcijasTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
SuperMind

The post describes a stock screen that combines a price-amplitude condition, simultaneous upward crosses among three moving averages, and a prior-day 9:15 matching-price limit-down condition. It presents the limit-down observation as a possible filter…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This post proposes screening mainland China main-board stocks for a daily trading range above one percent, weekly MACD above zero, and a positive daily move exceeding one percent. It frames the combination as a way to identify shares with short-term upward…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document outlines a stock-selection filter requiring a daily high-low range above one percent, a newly formed KDJ crossover, and a positive price-to-earnings ratio. The crossover is intended to identify a possible shift toward upward momentum, while the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese A-share screening idea that combines membership in the metaverse theme with positive net buying by large traders during the auction and a sustained large-order activity condition. It presents the screen as a way to combine a…

AkcijasĶīnas tirgiTirgus mikrostruktūraRiska pārvaldība
SuperMind

This stock-selection rule screens mainland Chinese main-board shares for turnover between 3% and 12%, a daily gain above 1% relative to the sector, and membership in the beverage and alcohol import-export industry or related industries. The article frames…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock selection example screens companies in the metaverse industry for a newly formed KDJ bullish crossover and an opening price close to the ten-day moving average. The illustrated band places the open within five percent above or below that average.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity screening idea combining daily amplitude above 1%, membership in a robotics concept group, circulating market capitalization below 10 billion yuan, and signs of afternoon price strength and large-order net buying. It…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document outlines a stock screen targeting companies associated with the metaverse theme. It requires institutional activity to be positive and applies a weekly stochastic-style signal based on the relationship between K and D lines, with recent periods…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document describes an annual year-end screen for Chinese equities. It combines a positive MACD reading, positive trailing P/E, and ROE above 15% in each of the prior five years. The stated rationale is to pair a trend signal with positive earnings…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

The strategy screens Chinese stocks for a daily amplitude above 1, evidence of main-force control on the previous day, and at least two limit-up sessions during the prior 500 days. The post presents these conditions as a way to find stocks with potential for…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-market stock screen combines four filters: RSI below 65, a daily gain greater than 1%, main-board listing, and positive institutional net buying. It ranks qualifying shares by institutional buying and proposes selecting the top five. The article…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post proposes screening stocks whose codes begin with 60, whose turnover rate lies between 3% and 12%, and whose price action is described as the start of a strong upward move. Its examples use price and range comparisons to approximate that technical…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a Chinese equity screen combining three conditions: RSI below 65, floating market capitalization between 5 billion and 10 billion yuan, and exclusion of the STAR Market. It frames RSI as a short-term indicator of overbought or oversold…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock-selection idea looks for daily price amplitude above 1%, three moving averages crossing upward in sequence, and positive large-order net inflow during the afternoon. The article treats the inflow as a possible indication of investor interest and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-market stock screen combines a beverage and alcohol industry filter with a turnover range of 3% to 12% and a holder-concentration condition described as below 20%. The article presents the criteria as a way to narrow candidates, then gives…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

This intraday stock screen excludes Beijing-listed shares and selects stocks with a daily high-low range greater than 1% of the prior close. It also requires the opening price change relative to the previous close to be above -2% and below 5%. The post…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese A-share screening rule selects stocks associated with the metaverse theme whose previous-day price is above the 250-day moving average, while excluding STAR Market listings. The article describes the theme filter as a way to focus on a popular…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This stock screen combines three filters: a Shanghai-listed stock code beginning with 60, at least two limit-up sessions within the past 500 days, and convergence among the 5-, 10-, 20-, 30-, and 60-day moving averages. The article interprets the convergence…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This proposed Chinese stock screen combines three ideas: ranking by fund-flow strength, identifying a morning-star pattern in Kute Intelligent, and selecting loss-free companies below a stated market-cap ceiling. The article describes fund strength through…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines a daily price-range threshold, geographic and board exclusions, and a 15-minute MACD condition. Its stated aim is to find A-shares with a range above one percent while excluding Beijing-listed stocks and selecting for a shortening…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post proposes a Chinese equity screen requiring daily price amplitude above 1%, a high equal to the highest of the current and previous sessions, and circulating market capitalization between 5 billion and 10 billion yuan. It presents the rules as a way…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post proposes screening Chinese equities for market capitalization below 10 billion yuan, positive net income, MACD above its zero line, and three consecutive down days. It frames the combination as a way to pair a pullback pattern with a positive…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss