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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
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
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Binance API docs
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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

This Chinese-language post proposes screening stocks for daily amplitude above 1, a circulating share count no greater than 5.5 billion, and positive large-order net inflow during the afternoon session. It presents volatility as a sign of trading activity,…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This document describes a short-term Chinese equity screen combining a positive MACD reading, upward separation between moving averages, and a stock that had three consecutive limit-up sessions on the prior day. It presents the conditions as signs of upward…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock-selection example combines membership in two named categories, “metaverse” and “beverage and alcohol imports and exports,” with a rising 30-day moving average. The moving-average rule checks whether its current value exceeds its prior value. The…

AkcijasTehniskie indikatoriSekošana tendencei
SuperMind

This A-share screening proposal combines a turnover range of 3% to 12% with a newly formed KDJ golden cross and a shortening MACD green histogram on a 15-minute chart. The stated rationale is to focus on actively traded stocks, use KDJ as a signal of…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an A-share screening idea that combines three conditions: reported position increases above 5%, a favorable company profile, and a gain below 6% at 9:25. The author interprets position increases as a possible sign of…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

The document proposes a stock screen combining three conditions: amplitude above one, MACD above its zero line, and an intraday low between four and five percent below the lower of the open and close. Its rationale is to find volatile stocks that have…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This Chinese equity screen ranks stocks by relative volume, keeps the top 100, requires yesterday's turnover rate to exceed 8%, and selects stocks whose 30-day moving average is rising and whose close is above that average. The accompanying rationale treats…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity-selection rule ranks stocks by relative volume and selects the top ten, then applies a price ceiling of 18.5 yuan and requires the 30-day moving average to be rising. The accompanying explanation treats high relative volume as a sign of…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This proposed stock screen combines a daily price range condition, sustained return on equity above 15% over five years, and a 20-day moving average above the 120-day average. The ROE filter is intended to identify companies with persistent profitability,…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This A-share stock screen combines three filters: turnover between 3% and 12%, market capitalization below 10 billion yuan, and positive net income. It then looks for stocks whose closing price is at or above each of five moving averages, using 5-, 10-, 20-,…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This stock screening proposal combines a metaverse industry classification and a rounded-bottom chart pattern with a price condition based on Bollinger Bands. It seeks shares whose close is above the middle band and above the upper band, using a moving…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-equity screening proposal combines an RSI below 65, an external-to-internal trading-volume ratio above 1.3, and a weekly price cross above the 30-week moving average. The intended mix is a momentum or trend condition alongside a measure of…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note proposes screening Chinese stocks after the open using positive MACD, a circulating share count no greater than 5.5 billion, and a ranking by individual-stock popularity. Its indicator example calculates MACD from 12- and 26-period exponential…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a Chinese-equity screen for metaverse stocks. It ranks candidates by today’s opening-auction value, selects the top five, and requires yesterday’s auction turnover rate to exceed 0.26. The stated rationale is that auction activity and…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This Chinese equity screen selects stocks classified in the metaverse industry when the opening price is near the ten-day moving average and the KDJ indicator has just crossed upward. The document explains that the moving average supplies a price reference…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese equity screening rule combining a turnover range of 3% to 12%, three consecutive declining sessions, and afternoon net inflows from large orders. It presents the screen as a way to combine price action, trading activity, and…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-selection rule combines a 14-period RSI below 65 with three consecutive declining sessions and a minimum listing age. The example implementation specifies more than 120 days since listing and evaluates the RSI and recent candle conditions to form…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock-selection proposal combines a technical filter with a profitability screen: choose main board stocks with RSI below 65, a daily gain above 1%, and return on equity above 15% in each of the previous five years. The author presents RSI as a way to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity screen that combines daily price amplitude above 1%, a circulating share count no greater than 5.5 billion, and a day-over-day increase in volume above 5%. It explains the intended rationale: price movement may…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

The screen targets Chinese stocks with a daily amplitude above 1%, appearance on the prior day's 龙虎榜 (top trading list), and more than two limit-up days in the previous ten sessions. It combines recent price movement, reported trading attention, and repeated…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This stock-selection rule looks for companies associated with the metaverse concept, with a rising 30-day moving average and at least two limit-up events during the prior 500 days. It is intended to combine a rising price trend with a history of strong…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a stock screen combining price amplitude, a market-concentration measure, and a 15-minute MACD histogram that is getting shorter. It interprets high amplitude as a way to find actively moving stocks, the concentration filter as a way…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība