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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 screen combines three technical conditions: daily amplitude above a stated threshold, a relationship between the closing price and recent five-day average values intended to represent upward movement, and a close between the middle and upper…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock-selection example screens companies in the metaverse industry using two conditions: the closing price is above its five-day moving average, and an institutional-flow indicator is positive. It presents these criteria as a way to combine…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share stock screen combines a turnover range of 3% to 12% with a newly formed KDJ bullish crossover and a weekly moving-average crossover in which the five-week average moves above the ten-week average. Its final stated selection logic also requires…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

This A-share stock selection idea filters for turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and at least one daily gain of 10% or more during the prior 25 trading days. The article frames the turnover band as a…

AkcijasCenas impulssTirgus mikrostruktūraTehniskie indikatori
SuperMind

This stock-selection screen looks for shares with daily amplitude above 1, a current decline between 4% and 5%, and at least one limit-up day during the previous 25 days. The document presents these filters as a way to find volatile stocks that have recently…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This note describes a stock selection rule combining daily price range, a reversal pattern called “反包” (roughly, an engulfing or counter-move signal), and a 14-period RSI below 65. The stated range condition is a high-to-low move greater than 1%; the three…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes an equity screen that excludes Beijing-listed stocks, selects stocks with a daily high-to-low range above one percent, and requires the previous close to exceed a 250-day moving average. It interprets the range as a sign of elevated…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection note proposes filtering equities by three conditions: a daily range above 1%, a current high equal to the highest high over the current and previous sessions, and listing age above an unspecified threshold. The range is calculated…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

This note describes a Chinese A-share screen combining RSI below 65, a daily gain above 1%, main-board listing status, and a share price below 12 yuan. It presents the conditions as a way to select stocks with relatively strong near-term movement while…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Expert Advisor description combines a volatility gate, Stochastic entry signals, loss-triggered position sizing, and profit-based exits. It calculates an average of standard deviation indicator readings over a sliding window. Trading is prohibited when…

Tehniskie indikatoriSvārstīgumsPozīcijas apjoma noteikšanaRiska pārvaldība
SuperMind

This stock-selection example screens companies classified in the metaverse theme, requiring the close to be above its five-day moving average and the prior day’s actual turnover rate to fall between 3% and 28%. The post presents the conditions as a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-market stock screen combines a daily amplitude condition, a minimum circulating market value, and a reversal or engulfing-style signal. The accompanying formula also uses a moving-average Bollinger measure and recent volume comparisons,…

AkcijasĶīnas tirgiSvārstīgumsAtgriešanās pie vidējās vērtības
SuperMind

This stock-screening note describes ranking equities by capital strength and market popularity, then selecting those that recorded at least two limit-up sessions within a 500-day lookback. It treats these measures as signs of investor attention and stock…

AkcijasCenas impulssĶīnas tirgiRiska pārvaldība
SuperMind

This stock-selection rule builds a candidate pool from shares with daily price amplitude above 1%, at least one limit-up event in the prior 25 days, and a product of price change and a large-order flow measure above a threshold. The accompanying rationale…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

The document outlines a stock-selection screen for Chinese equities in the metaverse theme. It filters for stocks associated with that industry, requires a positive institutional-flow measure, and ranks eligible names by a market-heat proxy in descending…

Ķīnas tirgiAkcijasCenas impulssTirgus noskaņojums
SuperMind

The article describes a Chinese stock screen combining daily amplitude above 1%, current volume above 10,000 lots, an opening price above the prior close, and a rising 30-day moving average. The stated aim is to find shares with notable price movement and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document describes a Chinese mainland stock screen that selects main-board shares with daily amplitude above 1%, excludes shares that closed at the upper price limit on the previous trading day, and requires a gain above 1% on the current day. Its stated…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document describes a stock screen that selects shares with daily amplitude above a threshold, at least three years since listing, and exclusion from China’s STAR Market. It presents amplitude as a proxy for trading attention and the listing-age filter as…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The proposed stock screen selects shares with an intraday high-low range greater than one percent of the prior close, requires MACD to cross above its zero line, and ranks qualifying names by a popularity measure. The author interprets the range condition as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document proposes a stock screen using daily price movement, a K-line threshold, and turnover as a proxy for trading activity. It describes the intended combination as seeking stocks with noticeable movement, an oversold reading, and moderate market…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

The document describes a stock selection strategy that combines a positive MACD reading with a favorable company classification and a weekly five-period moving average crossing above the ten-period average. It presents the crossover as a way to focus on a…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese equity screen combines three technical conditions: daily amplitude above 1%, a rounded price pattern, and an increase in the KDJ indicator’s K value. The post interprets the range condition as a way to find active shares, the rounded pattern as…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock selection method looks for shares with a daily price range above 1%, excludes shares that closed at the limit on the previous day, and requires the current session’s auction move to fall between -2% and 5%. The post presents the conditions as a…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document proposes screening equities for turnover between 3% and 12%, membership in a robotics theme, circulating market capitalization below 10 billion, and a closing price of 18.5 yuan. It also describes sorting qualifying shares by popularity. The…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika