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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 screen selects Chinese stocks with turnover between 3% and 12%, a 2021 listing year, and at least one limit-up event within the past month. The article frames turnover as a liquidity filter and a recent limit-up as a sign of market attention or…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document outlines a Chinese stock screening rule that ranks shares by relative volume and looks for a shortening MACD histogram below zero on a 15-minute chart. It interprets high relative volume as a sign of near-term market attention and a shrinking…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share screening idea combines a positive MACD reading, an upward separation or crossover of short moving averages, and three consecutive lower closes. The intended setup pairs a broader positive momentum condition with recent short-term weakness,…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock screen combines a 14-period RSI below 65, a positive product of daily percentage change and a measure of very large-order net inflow above 1, and negative returns across seven consecutive sessions. The stated rationale is to find stocks that have…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This Chinese stock screen looks for shares with daily amplitude of at least 1%, turnover above 2% and no higher than 9%, and at least one session with a gain of 10% or more during the prior 25 trading days. The selection combines a volatility measure,…

Ķīnas tirgiAkcijasSvārstīgumsCenas impulss
SuperMind

This Chinese stock-screening example selects shares with turnover between 3% and 12%, three consecutive declining sessions, and no limit-up event on the previous day. It presents the rule as a way to find actively traded stocks after a short decline while…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen selects shares with daily amplitude above 1, a year value of 2021, and a control ratio above 21. The document describes amplitude as a measure of price movement and interprets a higher control ratio as stronger buying pressure. It includes…

AkcijasTehniskie indikatoriSvārstīgumsRiska pārvaldība
SuperMind

This technical stock screen combines an RSI reading below 65 with seven consecutive declining sessions and a MACD value below zero two days earlier. It is framed as a way to identify stocks at relatively low levels while excluding some downward-trending…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This stock-screening idea combines a daily amplitude threshold with a robot-industry theme, a cap on circulating market value, and an upward-sloping 30-day moving average. The moving-average condition adds a price-trend filter to the thematic and size…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This note proposes screening A-shares using three conditions: a 14-period RSI below 65, an outer-to-inner volume ratio of at least 1.3, and prior-day turnover above 8%. Its sample formula and Python example outline how those conditions might be applied. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes an A-share screening rule combining a 14-period RSI below 65 with an outer-to-inner volume ratio above 1.3, while excluding the STAR Market. The article presents these conditions as a way to combine a technical indicator with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post proposes a stock-selection screen that combines a daily high-low range threshold, a calendar-year filter for 2021, and a condition intended to identify an increase in trading volume. Stocks passing the conditions enter a candidate pool. The article…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post proposes a stock screen requiring RSI below 65, three consecutive declining sessions, and trading value above 60 million on the previous day. It presents the combination as a way to find stocks with a potential technical base and…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese-language post describes a mainland China stock screen combining four conditions: RSI below 65, a daily gain above 1%, main-board listing, and a current-day low below the prior day’s low. It frames the combination as a way to find shares with…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule screens out Beijing-listed shares, keeps stocks with price amplitude above 1%, and looks for a weekly close crossing above its 30-week moving average. The document describes the rule in plain language and gives example…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This proposed stock screen selects shares with a daily high-low range above a stated threshold, a closing price above the five-day moving average, and a specified industry exclusion. The post’s explanation treats larger price ranges as potential…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed daily stock screen selects shares with MACD above its zero line, ranks candidates by market attention, and keeps companies whose revenue in 2021 was more than 1.1 times revenue in 2018. It describes MACD as a short-term trend measure, stock…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock selection note describes a technical screen requiring daily amplitude above 1%, a maximum daily decline between 4% and 5%, and a weekly five-period moving average crossing above the ten-period average. It presents the weekly crossover as a…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock selection note combines three filters: daily amplitude above 1%, circulating market capitalization above 10 billion yuan, and a turnover-based activity measure between 0.5 and 2. That measure multiplies the prior day's turnover rate by…

AkcijasSvārstīgumsTirgus mikrostruktūraĶīnas tirgi
SuperMind

This Chinese stock selection note describes a screen combining daily price movement with a weekly moving average signal. It selects stocks whose intraday high-to-low range exceeds 1%, whose weekly five-period moving average crosses above the ten-period…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed stock screen combines three filters: MACD above its zero line, a ratio of external to internal trading volume above a stated threshold, and a dividend payout measure above a stated level for 2019. The accompanying discussion treats MACD as a…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This document presents a Chinese stock screen built around three conditions: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a fund-strength measure ranked from high to low. Its rationale is to…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums
SuperMind

This document describes a stock selection rule combining daily price movement, recent trading activity, and a weekly trend indicator. It selects shares whose intraday amplitude exceeds 1, whose prior-day turnover is above 60 million, and whose weekly MACD is…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This stock-selection rule screens companies in the metaverse sector for a limit-up day within the previous 25 days and a current-day decline between 4% and 5%. It proposes running the screen before 10 a.m. The accompanying Python example filters a daily data…

AkcijasĶīnas tirgiCenas impulssRiska pārvaldība