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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
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 article proposes screening Chinese stocks using three conditions: daily high-low range greater than one percent of the previous close, weekly MACD above zero, and a daily price increase greater than five percent. It frames the range as a volatility…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen ranks candidates by volume ratio, filters for net large-order volume above a stated threshold for at least three consecutive days, and restricts the preceding ten-day price change to a positive range below a stated ceiling. The intended…

AkcijasCenas impulssTirgus mikrostruktūraTehniskie indikatori
SuperMind

This stock-screening proposal combines three conditions: MACD above zero, bid volume greater than ask volume, and a shortening MACD histogram on a 15-minute chart. It presents the setup as a way to identify stocks with positive momentum and improving…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

The article describes a short-term A-share screening rule that combines price range, closing price, and the session’s low relative to the previous close. Its initial version calls for amplitude above one percent, a close at 18.5 yuan, and a maximum decline…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese equity screen selects stocks with RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and a positive day-over-day change in the KDJ K value. The article explains RSI as a measure related to recent overbought or…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-selection approach combines a weekly MA5 crossover above MA10 with a turnover range of 3% to 12% and a circulating share count no greater than 5.5 billion. The article also presents a revised version that adds market capitalization and…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes an equity screening rule for stocks with codes beginning with 60. It selects shares whose turnover rate is between 3% and 12% and whose 20-day simple moving average is above the 120-day average. The longer and shorter averages provide…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

The article describes a screen for companies with market value below 10 billion yuan and assets above 200 million yuan, alongside a daily high-low range greater than 1%. Its expanded version also requires no losses over the previous five years, positive…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock-selection approach combines a relative strength index ceiling, a market-capitalization band, and a newly formed KDJ bullish crossover. It selects stocks with RSI below 65 and tradable market value between 5 billion and 10 billion yuan. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share stock screen selects companies associated with the metaverse concept, then applies turnover conditions. It requires actual turnover from two sessions earlier to fall between 3% and 28%. It also checks whether the prior session’s…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese stock-selection post describes a simple screen combining three conditions: daily amplitude above a threshold, a specified relationship between the latest close and recent moving averages, and a share price below a fixed cutoff. The accompanying…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock-selection proposal combines three technical conditions: trading amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and price above its five-day average. The article describes the screen as a way to…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock-screening post describes a rule combining a turnover rate between 3% and 12%, a positive 10-day gain below 35%, and at least two limit-up sessions within the prior 500 days. It presents the screen as a way to combine trading activity,…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

The screen combines a relative strength index below 65 with a ratio of external to internal trading volume above 1.3, then ranks qualifying stocks by the day’s auction amount and selects the top five. The document presents both a database-style query and a…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

The strategy ranks stocks by market capitalization, excludes designated special-treatment shares, and buys the ten smallest names, subject to a filter that rejects stocks whose short and long moving averages indicate a clear downtrend. It limits each…

Ķīnas tirgiAkcijasSekošana tendenceiTehniskie indikatori
SuperMind

The post describes a Chinese stock screening idea that combines turnover in a stated 3%–12% range with an engulfing pattern and a current low below the prior day's low. It frames the lower low as a sign of recent weakness that might precede a rebound, and…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

The document describes an equities screening rule that combines RSI below 65, the product of price change and net large-order flow, and a 20-day moving average above the 120-day moving average. It presents the combination as a way to select stocks using both…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This screen selects stocks whose codes begin with 60, whose daily high-low amplitude exceeds 1%, and whose KDJ indicator has just crossed upward. The post describes the crossover as a possible sign of improving market sentiment and uses the code prefix to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen ranks shares by capital strength, selects the five with the highest amount traded in the current opening auction, and limits candidates to those with a positive ten-day return below 35%. The stated rationale is to favor stocks receiving…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock selection rule combines three conditions: turnover between 3% and 12%, a rising DEA indicator, and weekly MACD above the zero line. The post presents these as filters for liquidity, improving shorter-term momentum, and a positive longer-term…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines daily price weakness with trading activity: it selects shares with an amplitude above 1%, turnover above 2% and below 9%, and seven consecutive sessions in which the close is lower than the prior close. The document frames this as…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-screening idea combines an amplitude threshold above 1, a prior-day 9:15 matched price at the limit-down level, and an increasing K value from the KDJ indicator. The post interprets large price ranges as opportunity, the auction price condition as…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese stock-screening post combines three filters: more than two limit-up sessions within ten days, a circulating market value of 5–10 billion yuan, and a daily position-increase ratio above 5%. It describes the filters as proxies for buying interest,…

AkcijasCenas impulssCenas izrāviensRiska pārvaldība