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

This stock-screening approach selects equities with turnover between 3% and 12%, a K indicator below 20, and a rising 30-day moving average. It combines a trading-activity filter, an indicator threshold, and a short trend check to identify candidates that…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This post describes a Chinese equity screening rule for stocks associated with the robotics concept. It selects shares with turnover between 3% and 12%, floating market capitalization below 10 billion yuan, and a ten-day price change above zero but below…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This document describes a short-term stock screen combining a prior-day amplitude threshold, appearance on the previous day's market activity list, current trading volume above a stated threshold, and an open price above the close. It explains the intended…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This draft presents a research framework for estimating short-horizon crypto prices from fixed-interval data. It resamples futures and spot mid-prices at 100-millisecond intervals, derives returns, and preprocesses order-book imbalance features. The proposed…

KriptoaktīviNākotnes līgumiTūlītējo darījumu tirgiTirgus mikrostruktūra
SuperMind

This note proposes screening Chinese stocks for turnover between 3% and 12%, a reversal pattern described as an engulfing move, and three consecutive declining closes. The stated idea is to look for short-term opportunities after a run of falling prices…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This stock-selection rule targets main-board shares with turnover between 3% and 12%, a daily gain above 1% relative to stocks in the same sector, and previous-day auction turnover above 0.26. The article presents the auction-turnover filter as a way to…

AkcijasCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The article outlines a Chinese equity screening idea that combines three signals: a high daily increase in position share, reported institutional buying near lows, and repeated limit-up sessions within a recent window. It interprets these conditions as signs…

AkcijasCenas impulssCenas izrāviensFaktoru ieguldīšana
SuperMind

This screening idea combines three conditions: price amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and at least five moving averages converging or crossing. The article interprets the shrinking histogram as a possible change…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening proposal selects shares with an amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and the weekly close crossing above its 30-week average. The article frames the amplitude filter as a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

This stock-screening proposal combines a 14-period RSI below 65 with membership in the beverage and alcohol import-export industry and exclusion of stocks marked ST. It adds a five-step limit-up method to look for candidates before or shortly after the open,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

The document describes a technical equity screen based on price amplitude, ranking by net large-order flow, and daily MACD above zero. It presents these as indicators of movement, trading activity, and directional momentum, and includes a sample formula and…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

The document proposes an equity screening rule that combines price amplitude above a threshold, MACD above its zero line, and a gradually rising, arc-shaped price pattern. It interprets amplitude as a measure of movement, positive MACD as a bullish signal,…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule combines three technical conditions: RSI below 65, weekly MACD above the zero line, and a shortening green MACD histogram on a 15-minute chart. The accompanying screening logic also ranks candidates by daily price change and retains…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection post proposes screening shares using turnover between 3% and 12%, a positive 10-day gain below 35%, and weekly MACD above zero. Its accompanying example adds practical filters such as excluding certain board listings, recently…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-screening proposal selects non-ST, non-suspended shares using a price-range condition, prior-day turnover between 3% and 28%, and a rule described as the five-step limit-up method. The stated aim is to focus on active shares showing short-term…

Ķīnas tirgiAkcijasCenas izrāviensCenas impulss
SuperMind

This Chinese stock-selection idea combines a daily price-range threshold, three consecutive limit-up sessions through the prior day, and a rising moving-average sequence intended to identify the start of a strong advance. The accompanying indicator example…

Ķīnas tirgiAkcijasCenas izrāviensCenas impulss
SuperMind

This note describes a Chinese equity screen combining daily range, a reversal or engulfing-style pattern, and exclusion of stocks that hit the upper price limit on the prior day. The refined rule checks for a reversal within the recent three trading days. It…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese-language post outlines a stock screen using five moving averages: 5, 10, 20, 30, and 60 days. It selects stocks whose averages converge, constrains the ten-day price change to be positive and below 35, and proposes ranking candidates by…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulss
SuperMind

This post describes a Chinese equity screen that selects stocks using three price conditions: daily amplitude above 1%, a positive but less than 35% return over ten days, and a price move below 6% at the 9:25 reference point. It explains amplitude as a proxy…

Ķīnas tirgiAkcijasCenas impulssSvārstīgums
SuperMind

This note outlines a Chinese equity screen combining a ranking by capital strength with company characteristics and a year-specific filter. It describes capital strength as a measure related to trading volume and turnover value, and suggests taking the top…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This Chinese stock-screening note describes a rule set for selecting stocks classified in the metaverse theme. The initial criteria are a positive daily price return and a positive institutional-flow ranking. It explains the rationale that institutional…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection proposal focuses on metaverse-related shares that meet three technical crossover conditions: MACD crosses its signal line, the 5-day moving average crosses above the 10-day average, and the 5-day average crosses above the 20-day…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screening rule combines three conditions: the stock’s daily amplitude exceeds 1%, it appeared on the prior day’s top-traded-stock list, and its 20-day moving average is above its 120-day moving average. The rationale is to find active…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss