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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
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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
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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
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This short strategy description combines five-day MACD signals calculated from stock prices and trading volume to determine whether to hold, adjust, or exit equities. When both indicators are positive and cash is available, the rule buys stocks. When price…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This document describes a stock screen requiring daily amplitude above one percent, a newly formed KDJ crossover, and a rising 5-day moving average. The rationale is that a wide daily range may indicate active trading, a fresh crossover may signal improving…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document proposes screening stocks in the metaverse sector for three simultaneous bullish technical crossovers: MACD over its signal line, the 5-day moving average over the 10-day average, and the 5-day average over the 20-day average. It adds a rounded…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity-screening post proposes selecting non-special-treatment stocks before 10 a.m. using an amplitude threshold, a five-period price-high condition, and ranking by net large-order volume. The accompanying example computes a true-range-like…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This article describes a Chinese stock-selection screen combining turnover between 3% and 12%, a reversal or engulfing-style price condition, and a holder-concentration threshold. Its example calculations use the day’s high and low relative to the previous…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The article outlines a Chinese equity screening rule that selects stocks whose codes begin with 60, have turnover between 3% and 12%, and did not hit the daily price limit on the previous session. It frames the turnover range as a liquidity filter and the…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This A-share screening approach combines a daily price-range threshold, ranking by net large-order volume, and a positive 10-day return capped below 35%. The stated goal is to find short- to medium-term opportunities among stocks already rising, using range…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document proposes screening stocks for daily price amplitude above 1%, MACD above its zero line, and turnover between 3% and 12%. It interprets the amplitude condition as selecting volatile shares, positive MACD as indicating upward price momentum, and…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This document presents a simple equity screening rule: select stocks associated with the metaverse theme in 2021 when their 14 period relative strength index is below 65. It gives example implementations in indicator formula notation and Python, with the…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The document proposes screening Chinese stocks in the metaverse industry for a newly formed KDJ bullish crossover and a prior-day opening auction match price at the daily lower price limit. It combines a technical indicator with an unusually weak prior-day…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a Chinese equity screening rule that selects stocks with a daily trading range above a threshold, excludes stocks that hit the daily price limit on the prior day, and requires the latest weekly candle to close above its open. It…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

This Chinese-language article proposes a stock screen combining a turnover-rate band of 3% to 12%, a seven-session decline condition, and positive institutional buying or net flow. Its premise is that institutional demand during a decline may provide support…

AkcijasCenas impulssAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

The post describes a stock filter using three conditions: turnover between 3% and 12%, external trading volume divided by internal trading volume above 1.3, and a share price above 18.5. It treats turnover as a measure of trading activity and the volume…

AkcijasTirgus mikrostruktūraStatistika
SuperMind

This Chinese-language post describes a stock screen combining three signals: ranking stocks by large-order net volume and capital strength, and looking for a shortening green MACD histogram on a 15-minute chart. The author presents these filters as a way to…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This post outlines a Chinese equity screen combining amplitude above 1%, a morning-star-style price pattern, and valuation constraints: price-to-earnings between 0 and 29.01 and price-to-book between 0 and 3.11. It describes applying these filters to…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This post proposes a Chinese equity screen based on amplitude above 1%, at least one daily gain of 10% or more during the previous 25 trading days, and a reversal-style condition. It characterizes reversal as an opening price above the prior close, though…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This post describes a Chinese equity screen combining a relative strength index (RSI) below 65 with circulating market value between 5 billion and 10 billion yuan. Eligible stocks are ordered by a stock-heat measure, presented as a ranking based on trading…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This Chinese-language post outlines an equity screen for stocks with daily amplitude above 1%, a robotics concept classification, and circulating market value below 10 billion yuan. Among qualifying names, it ranks the product of price change and net volume…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese-language post outlines a short-term screen for Chinese equities in the metaverse sector. Its final proposed rules combine a volume-ratio range, upward movement in short moving averages, positive money-flow information, a price-to-earnings…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document presents a Chinese equity screening idea that combines a 14-period RSI below 65, a multi-candle price pattern, and indicators intended to represent institutional buying. Its stated concept is to use a technical filter alongside research or…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This document proposes a Chinese equity screen combining three conditions: a price range threshold, a shrinking negative MACD histogram on a 15-minute chart, and a proprietary daily control measure above a threshold. The stated rationale is to find more…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This stock selection method combines a turnover range of 3% to 12% with an opening price within 5% of the ten-day moving average. It adds a qualitative “main uptrend starting” signal, intended to identify a possible shift toward a stronger rising trend. The…

AkcijasTehniskie indikatoriCenas impulss