Pāriet uz saturu

Zināšanu bibliotēka

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 proposed screen selects Chinese stocks with amplitude above 1% that did not close at the daily upper limit on the prior day, then ranks candidates by the current day’s auction amount and keeps the top five. The article treats large auction activity as a…

AkcijasĶīnas tirgiSvārstīgumsUz notikumiem balstīta tirdzniecība
SuperMind

This stock screen combines three filters: price amplitude above 1%, weekly MACD above zero, and a stock code beginning with 60. The document presents the MACD condition as a comparison of the MACD line with its signal line on the prior bar, alongside a…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The article describes a Chinese stock-selection screen using an RSI below 65, a ratio of external to internal trading volume above 1.3, and a ranking by stock popularity. It presents these filters as a combination of technical conditions and measures of…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

The document outlines a Chinese equity screen combining company size, recent trading activity, and an indicator described as capital strength. Its headline criteria are companies valued below 10 billion yuan, no losses, and previous-day turnover above 8%,…

AkcijasĶīnas tirgiTirgus mikrostruktūraRiska pārvaldība
SuperMind

This stock screen selects companies classified in the metaverse industry whose opening price is near the 10-day moving average and whose recent 10-day return is positive but below 35%. The article frames proximity to the moving average as a way to assess…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share screening idea combines three conditions: RSI below 65, a ratio of outside-market to inside-market volume above 1.3, and an opening price near the 10-day moving average. The accompanying example translates these filters into a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening post describes selecting shares priced below 12 yuan, with turnover between 3% and 12%, and a pattern it calls a reversal or “wraparound” candle. Its indicator conditions include a low price threshold and an RC value no greater…

AkcijasTehniskie indikatoriĶīnas tirgiVēsturisko datu pārbaude
SuperMind

The post proposes screening Chinese stocks for MACD above zero, upward separation of short moving averages, and a prior-day auction turnover condition. It presents the combination as a way to select for positive momentum while using trading activity as a…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection note describes a short-term screen for Chinese equities based on three conditions: turnover between 3% and 12%, a ratio of outside to inside trading volume above 1.3, and a closing price above the previous day’s low. The combination is…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

The post proposes a Chinese equity screen combining daily price amplitude, afternoon large-order net inflow, and a record of high return on equity over five years. It frames the criteria as a mix of price activity, money flow, and company profitability, and…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTirgus noskaņojums
SuperMind

The article proposes a Chinese-equity screen that combines a price-range condition, a named morning-star signal, and a historical dividend payout ratio above a stated threshold for 2019. It frames the combination as a way to identify shares with short-term…

AkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This brief A-share stock-screening note combines three conditions: turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a reversal pattern described as a counterattack or engulfing move. The conditions aim to identify…

AkcijasTehniskie indikatoriTirgus mikrostruktūraĶīnas tirgi
SuperMind

This article surveys engineering choices for algorithmic trading systems, including desktop computers versus dedicated or cloud servers, operating-system trade-offs, remote access, and low-latency server placement. It emphasizes resilience: developers should…

Rīkojumu izpildeAugstas frekvences tirdzniecībaRiska pārvaldībaStatistika
SuperMind

This Chinese-language post describes a daily premarket stock screen that combines MACD above its zero line, a share price below 12 yuan, and evidence of institutional accumulation. It presents the screen as a blend of technical, price, and capital-flow…

AkcijasTehniskie indikatoriĶīnas tirgiCenas impulss
SuperMind

This article describes a stock selection screen combining three conditions: membership in the metaverse industry, a rounded-bottom chart pattern, and a 20-day moving average above the 120-day moving average. It presents the moving-average relationship as a…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

The post describes a technical stock screen combining daily price amplitude above a threshold, a positive weekly MACD reading, and detection of a bullish morning star candlestick pattern. It presents the morning star as a three-candle reversal signal and…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

The post outlines a stock screen focused on shares whose codes begin with 60, using data from 2021. It presents this universe as relatively large-cap and liquid, then proposes adding financial filters such as a current ratio threshold and a price-to-earnings…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

The screen selects Chinese stocks using three conditions: closing price below 12, at least two limit-up days within the previous ten days, and today’s net buying share above 5%. The accompanying explanation interprets repeated limit-ups as evidence of…

Ķīnas tirgiAkcijasCenas impulssCenas izrāviens
SuperMind

This proposed A-share stock screen combines three conditions: RSI below 65, the ratio of external to internal trading volume at least 1.3, and circulating market capitalization above 10 billion yuan. The article presents the combination as a way to mix a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen selects Chinese equities whose codes begin with 60, whose intraday high-low range relative to the open exceeds 1, and whose institutional-fund flow measure is positive. The accompanying formula aggregates positive net fund amounts over five…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This post presents a stock-selection screen for companies in the metaverse theme. It requires yesterday’s price to be above the 250-day moving average and a positive recent return. The accompanying examples outline selecting members of a thematic group,…

AkcijasCenas impulssSekošana tendenceiTehniskie indikatori
SuperMind

This Chinese-language post describes an equity screen that ranks candidates by volume ratio, filters for circulating market value at or below 5.5 billion yuan, and requires the 20-day moving average to exceed the 120-day average. The stated rationale is to…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība