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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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 outlines an A-share stock screen combining an RSI below 65, a daily gain above 1%, main-board listing, and non-ST status. It proposes selecting five stocks from the day’s limit-up leaders, with selection intended before 10 a.m. The rationale…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a short-term stock screen combining daily price amplitude above 1, a controlling-shareholder measure whose absolute daily change exceeds 21, and a rising DEA value from MACD. It shows examples of how to express these conditions in a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post proposes screening stocks for turnover between the stated bounds, beverage and alcohol import-export exposure, current volume above the stated threshold, and a higher opening price. It presents the combination as a way to consider…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese equity screen combines three conditions: MACD above zero, descending ranking by capital-flow strength, and more than two limit-up days within ten days. Its examples add fundamental filters such as positive valuation ratios and return on equity,…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening proposal combines daily price amplitude above one percent, market capitalization below 10 billion yuan, positive net profit, and a shortening MACD histogram on a 15-minute interval. The author treats amplitude as a way to find…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This note outlines a technical stock screen that combines turnover between 3% and 12% with a reversal pattern and rising price lows. The accompanying indicator conditions use a high reversal score, a low stochastic K reading, and a short-period price bias…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This note proposes screening equities for a high dividend payout ratio in 2019, a sufficiently long listing history, and strong capital activity. It describes trading strength using measures such as turnover and relative volume, with the goal of finding…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This note describes a China A-share screening rule for main-board stocks. It combines daily turnover between 3% and 12%, membership in a robotics concept group, floating market value below 10 billion yuan, and a prior-day indicator of main-fund control. The…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-selection screen looks for shares with a minimum intraday range, at least one large daily gain within the recent 25-session window, and positive institutional buying direction. The criteria aim to combine volatility, evidence of a recent sharp…

AkcijasCenas impulssSvārstīgumsTehniskie indikatori
SuperMind

This stock screen combines a 2019 dividend measure above a stated threshold, a 20-day moving average above the 120-day average, and a ranking by capital intensity. The moving-average comparison is presented as a way to favor stocks whose shorter-term trend…

AkcijasSekošana tendenceiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock-screening idea combines a daily price-range threshold, an RSI ceiling, and buying volume greater than selling volume. The range condition is intended to find stocks with movement, while RSI below the stated cutoff avoids the strongest overbought…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This post proposes a Chinese A-share screen combining three conditions: buying-position share above 5% today, a rising main-board stock, and more than two limit-up days in the preceding ten days. The rationale is that recent buying activity and repeated…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This Chinese stock-selection post describes a screen that filters for shares with turnover between 3% and 12%, listed in 2021, then ranks them by capital strength. It presents the combination as a way to consider both trading activity and recent money flows,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document outlines a daily pre-open stock screen for Chinese equities. It selects stocks with MACD above zero and a price below 12 yuan, then ranks candidates by that day’s auction amount and keeps the top five. The rationale is to combine a technical…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed A-share screen combines daily amplitude above 1, exclusion of ST-designated stocks, a five-session limit-up pattern, and large-order net flow above 0.05 for at least three consecutive days. The post describes large-order net flow as a…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This A-share stock-selection rule screens for turnover between 3% and 12%, excludes Beijing-listed shares, and selects stocks described as having fallen on each of the previous seven trading days. The post presents consecutive declines as a way to find…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This proposed A-share screen combines three ranking and selection inputs: descending capital intensity, descending stock popularity, and a dividend payout ratio above 25% for 2019. The document interprets capital intensity and popularity as measures of…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTirgus noskaņojums
SuperMind

The post proposes a Chinese stock-selection screen combining price movement, trading activity, and company size. Its stated rules require amplitude above 1, a product involving the previous day’s turnover rate and today’s auction volume relative to the prior…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
SuperMind

The post describes a strategy adapted from another approach and characterized by its author as a moving-average method that takes long positions. The author reports a four-year backtest with a total return of 120 times the starting value and a maximum…

Sekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese stock-selection example combines three short-term conditions: daily amplitude above 1%, a high equal to the highest high across two days, and an asserted Dragon-Tiger List signal from the prior day. The accompanying discussion interprets the…

AkcijasTehniskie indikatoriTirgus noskaņojumsCenas impulss
SuperMind

This proposed stock screen combines an amplitude threshold above 1, three moving-average crossover conditions, and a positive institutional-direction indicator. The explanation frames the moving averages as a trend filter and the institutional measure as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock selection rule screens A-shares using four conditions: turnover between 3% and 12%, the product of daily percentage change and super-large-order net flow above zero, positive institutional activity, and volume expansion. A reference formula adds a…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This article describes a China A-share stock screen that combines turnover, company size, profitability, and a rising-lows price pattern. Its stated filters restrict turnover to a specified band, market capitalization to below a stated ceiling, and earnings…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas izrāviens