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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
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 stock-selection idea builds a candidate pool from shares with a daily high-low range greater than one percent, at least one limit-up event in the prior 25 days, and a limit-up event within the past month. The post interprets range as a sign of…

AkcijasĶīnas tirgiSvārstīgumsCenas izrāviens
SuperMind

This proposed China A-share screen combines three conditions: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and at least one limit-up event within the past month. The rationale is to focus…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

The document outlines a Chinese A-share screening rule that selects stocks with a daily high-low range of at least one percent, relative volume between 1.5 and 6 times its five-day average, and a nonempty outstanding convertible-bond name field. It…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This stock-selection rule screens for turnover between 3% and 12%, year-over-year net profit growth attributable to parent-company shareholders above 20% and no more than 100%, and a 9:25 price change below 6% in absolute value. The article combines a…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This Chinese stock-selection rule combines a daily high-low range greater than 1%, a reversal or engulfing-style candle condition, and the presence of an outstanding convertible bond name. The document presents these as a way to find reversal candidates…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese equity screen combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and a moving-average condition intended to identify upward divergence. The accompanying discussion frames these filters as proxies for…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed stock screen looks for turnover between 3% and 12%, a circulating share count at or below 5.5 billion, and a daily maximum decline between 4% and 5%. The article frames the combination as a way to avoid very inactive stocks, limit exposure to…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This stock selection idea combines three screens: membership in the metaverse industry, a positive institutional activity reading, and a 10-day return above zero but no higher than 35%. The rationale is to focus on a growth-oriented theme and stocks with…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a stock selection rule that combines daily turnover, a low KDJ K value, and prior-day opening-auction turnover. It treats the conditions as a buy signal: turnover must fall within a stated band, K must be below a threshold, and auction…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This document proposes screening stocks for price amplitude above a threshold, MACD above zero, and a positive change in the KDJ K value. It argues that amplitude can capture movement, MACD can indicate positive trend conditions, and rising K may reflect…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This document describes a stock screen combining daily price amplitude, a dividend ratio for 2019, and a rising DEA value from MACD. Its rationale is that amplitude identifies more volatile shares, the dividend condition favors higher-yielding stocks, and…

AkcijasTehniskie indikatoriSvārstīgumsSekošana tendencei
SuperMind

This stock-selection screen looks for A-shares with daily amplitude above one percent, at least one limit-up event within the recent 21 trading days, and a 30-day average close above the 60-day average. The reference formula also filters for listed shares…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen selects shares with an intraday high-low range above 1%, a closing price exactly at 18.5 yuan, and volume between 1.5 and 6 times its five-day average. It sorts qualifying names by turnover. The stated rationale is to find stocks showing…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed stock screen combines a turnover rate between 3% and 12%, seven consecutive declining sessions, and a rising DEA line from MACD. The author frames the combination as a possible early signal of a trend reversal: recent weakness is paired with an…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This proposed A-share screening rule selects stocks before each trading day opens, requiring MACD to be above zero and the 2019 dividend amount relative to current price to exceed 25%. Candidates are ranked by stock popularity, which the article treats as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post introduces an autoregressive model for financial time series, using CSI 300 prices and returns as the subjects of study. It says the material walks through fitting the model and attempting forecasts, presenting a modeling workflow focused on this…

AkcijasĶīnas tirgiStatistikaVēsturisko datu pārbaude
SuperMind

This Chinese stock-screening post combines trading activity, recent price weakness, and historical revenue growth. It selects stocks with turnover between 3% and 12%, seven consecutive declining sessions, and 2021 revenue more than 10% above 2018 revenue.…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This note describes a Chinese A-share screen for metaverse stocks with prior-day turnover above 8% and a prior-day opening auction match price at the limit down. It also presents a simplified final rule based on metaverse classification, turnover, and a…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese equity screen selects stocks associated with the robotics concept, with turnover between 3% and 12%, circulating market value below 10 billion, and a stated scale threshold above 200 million. The post says the added scale filter is intended to…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
SuperMind

This post presents a Chinese stock-selection screen using daily amplitude, a measure described as current control above 21%, and a morning-star signal attributed to Kute Intelligent. Its discussion characterizes the setup as a short-term technical approach…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

This document describes a short-term Chinese stock screen combining daily price amplitude above 1%, a newly formed KDJ crossover, and classification in the metaverse concept. Its indicator example calculates K, D, and J from recent closing prices and selects…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document defines maximum drawdown as the largest decline from a historical net asset value peak to a subsequent trough within a selected period. It frames the measure as an estimate of the worst loss an investor might have experienced after buying a…

Riska pārvaldībaStatistikaPortfeļa veidošana
SuperMind

The document describes three equity strategies built around a bull-bear indicator: a direct timing rule for broad indexes, monthly indicator-change rotation among industries, and index allocation based on the share of constituent stocks signaling a long…

AkcijasĶīnas tirgiSekošana tendenceiCenas impulss