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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
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 describes a Chinese stock screen that combines a daily increase in reported holdings, a daily price gain, and a company size and profitability filter. Its initial description focuses on stocks with market capitalization below a stated ceiling…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This Chinese equity screen selects stocks associated with the metaverse theme that had a limit-up event within a recent 25-day window, while excluding stocks described as limit-up on the previous day. It frames the combination as a way to identify recently…

AkcijasĶīnas tirgiCenas impulssUz notikumiem balstīta tirdzniecība
SuperMind

This stock selection screen combines a recent price movement filter with listing history and trading activity. It seeks shares whose daily amplitude exceeds the stated threshold, that have been listed for more than a year, and whose previous day’s trading…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This article describes a technical stock screen that combines apparent moving-average convergence, a rounded price pattern, and an opening-price condition. Its stated rationale is that clustered averages may mark stable support or resistance, while the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The article proposes a stock selection screen combining three conditions: RSI below 65, a specified range for tradable market capitalization, and positive return. Its sample implementation calculates a 14-period RSI, filters stocks against the stated…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This article outlines how an early-stage hedge fund or CTA can prepare to seek institutional allocations. It describes three fundraising routes: the manager’s professional network, third-party marketers, and prime brokers’ capital introduction services. It…

Vairāku aktīvu tirdzniecībaRiska pārvaldība
SuperMind

This document explains the Simple Harmonic Oscillator (SHO), a bounded indicator intended to estimate market-cycle periods over short and intermediate horizons. It describes a centerline as a balance between bullish and bearish periods, with outer levels…

Tehniskie indikatoriSekošana tendenceiAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
SuperMind

This post describes a Chinese equity screen combining recent large-order net buying, a high current-day position increase, and a historical dividend ratio threshold. It presents the flow conditions as signs of investor interest and the dividend filter as a…

AkcijasĶīnas tirgiTirgus noskaņojumsTehniskie indikatori
SuperMind

This Chinese-language post describes a daily stock screen combining turnover, recent price direction, prior-day trading value, and limit-up status. It selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and prior-day…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection idea combines three technical conditions: at least five moving averages clustered together, positive returns, and more than two limit-up sessions within a ten-day window. The post interprets clustered averages as possible evidence of…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection proposal combines three filters: daily amplitude above one percent, a proxy for afternoon large-order net inflow, and a gain below six percent at the 9:25 observation. The stated aim is to find shares with notable movement and buying…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

The post outlines a Chinese equity screening rule combining three conditions: prior-session price amplitude above one percent, tradable share float no greater than 5.5 billion shares, and a positive prior-session main-fund control reading. It frames these…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The proposed stock screen selects shares whose turnover rate is between 3% and 12%, that were listed in the current year, and whose actual turnover on the referenced prior day is between 3% and 28%. The article frames these conditions as a way to find…

AkcijasTehniskie indikatoriRīkojumu izpildeRiska pārvaldība
SuperMind

This stock screen combines three technical conditions: overlap among the 5-, 10-, 20-, 60-, and 120-day moving averages; a concentration measure subject to a stated threshold; and shortening green bars in the 15-minute MACD histogram. The document describes…

AkcijasTehniskie indikatoriCenas impulssSekošana tendencei
SuperMind

This Chinese A-share screening proposal filters for stocks with an intraday range above 1% during 2021, then keeps observations where price change multiplied by an estimate of very large order flow is positive. The intended interpretation is that volatility…

AkcijasĶīnas tirgiTirgus mikrostruktūraSvārstīgums
SuperMind

This Chinese A-share screening idea selects stocks whose intraday high-low range exceeds 1%, whose day low is between 4% and 5% below the prior close, and whose MACD is above zero. The rationale combines elevated volatility and a sharp intraday decline with…

AkcijasTehniskie indikatoriSvārstīgumsAtgriešanās pie vidējās vērtības
SuperMind

This proposed stock screen selects shares with a daily high-low range above 1, three consecutive limit-up sessions as of the previous day, and at least two limit-up events during the prior 500 days. The post interprets the range as a sign of activity and the…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This proposed Chinese stock screen looks for a daily price range above 1, a ratio between 0.5 and 2 formed from the previous day’s turnover rate and the current auction volume relative to the previous day’s volume, and a current large-order accumulation…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This Chinese stock screen combines a positive MACD reading, an external-to-internal trading volume ratio above 1.3, and more than two limit-up days in the prior ten days. It ranks qualifying stocks by percentage gain, favoring recent price strength and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This example turns a CAPM regression into a monthly stock-selection process. It takes a recent window of daily returns for eligible constituents, adjusts stock and benchmark returns by a stated daily risk-free rate, and regresses each stock’s returns against…

AkcijasStatistikaFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

This screening proposal combines three conditions: price amplitude above one, a value for today’s control measure above 21, and a date in or after 2021. The description frames the first two conditions as filters for more volatile stocks and stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This stock-screening proposal targets companies in the metaverse industry that have had more than two limit-up sessions in the recent ten-day window and have just formed a KDJ golden cross. It calls for screening before 10:00 on each trading day and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening post describes a rule based on price range, recent turnover, and limit-up frequency. Its initial description calls for an amplitude above 1, prior-day actual turnover between 3% and 28%, and more than two limit-up sessions in a…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi