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
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
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

This Chinese equity screen combines three short-term filters: a positive ten-day return below 35%, a high volume ratio, and strong net inflow attributed to major investors on the prior day. The article describes ranking both the volume ratio and prior-day…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This short-term Chinese equity screen selects stocks with turnover between 3% and 12% that appeared on the prior day’s trading leaderboard, then ranks them by the current day’s auction amount and keeps the top five. The article presents the conditions as a…

AkcijasCenas impulssTirgus mikrostruktūraĶīnas tirgi
SuperMind

This stock screen combines a turnover-rate band of 3%–12% with a candlestick range measure intended to identify a reversal pattern, then ranks qualifying stocks by market interest. The example calculates the smaller distance from the previous close to the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This screening idea combines technical, size, and financial criteria for equities. Its final selection logic calls for at least six overlapping moving averages, a closing price between the Bollinger upper and middle bands, market capitalization below 10…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The screen targets Shenzhen Main Board stocks with positive price-to-earnings ratios below 29.01 and price-to-book ratios below 3.11. It adds two technical conditions: the 20-day moving average must exceed the 120-day moving average, and the relative…

Ķīnas tirgiAkcijasTehniskie indikatoriSekošana tendencei
SuperMind

This stock-selection approach combines moving-average convergence, valuation limits, and a historical year filter. It seeks shares with at least five overlapping moving averages, listed on the Shenzhen Main Board, with price-to-earnings ratios from 0 to…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock screen combines recent price-limit performance with a measure of trading activity. It selects shares listed for more than ten days that recorded more than two limit-up sessions during the prior ten days, then ranks them by money-flow strength. The…

Ķīnas tirgiAkcijasCenas impulssCenas izrāviens
SuperMind

This post describes a stock screen combining three conditions: at least five moving averages converge, the ticker begins with 60, and the quoted 9:25 gain is below 6%. It interprets convergence as a sign of relative price stability and the opening-price…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This document proposes a Chinese equity screen that combines relative volume ranking, price above its five-day moving average, and revenue growth between 2018 and 2021. It describes the revenue condition as growth exceeding a stated ratio threshold, while…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriĶīnas tirgi
SuperMind

The proposed stock screen requires daily turnover between 3% and 12%, a reversal-style candle pattern described as an engulfing or recovery setup, and weekly MACD above zero. The criteria combine trading activity, price behavior, and a positive trend…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This screen combines three technical conditions: price amplitude above 1%, a negative MACD reading from two sessions earlier, and a rising 30-period moving average. It is presented as a way to find volatile stocks with a developing upward trend despite a…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock screen ranks candidates by capital intensity, using measures such as turnover and trading value, and requires turnover above 8% on the prior day plus more than two limit-up sessions within the preceding ten days. The rationale is to find actively…

AkcijasCenas impulssĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This note proposes screening Chinese shares for daily price amplitude above 1%, a share price of 18.5 yuan, market value under 10 billion yuan, and non-loss-making businesses. It describes sorting selected shares by trading amount. The stated rationale is to…

AkcijasĶīnas tirgiRiska pārvaldībaFaktoru ieguldīšana
SuperMind

This note outlines an equity screen combining three conditions: MACD above zero, best bid volume at least as large as best ask volume, and a dividend ratio above 25% for 2019. Its rationale is that positive MACD indicates an upward technical condition,…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese stock-selection note describes a screen for robotics-concept shares with float market value below 10 billion yuan and turnover constraints. The text gives overlapping turnover ranges: an initial range of 3% to 12%, followed by a stricter…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock-screening concept ranks equities by a measure of money strength, using net inflows and turnover as examples, and combines that ranking with a 20-day moving average above the 120-day average. It also refers to a concentration condition expressed as…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This screen combines turnover between 3% and 12%, a reversal-style price pattern, market capitalization below 10 billion, and positive net profit. Its accompanying formula reference expresses the reversal condition through a three-day reversal metric, while…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This Chinese equity screen looks for stocks with turnover between 3% and 12%, circulating shares no greater than 5.5 billion, and previous-day trading value above 60 million. The article says selection is intended before 10 a.m. It frames the turnover,…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock screen combines three conditions: at least five moving averages converge, the previous session’s turnover exceeds 8%, and the 20-day moving average is above the 120-day average. The article interprets clustered averages as a sign of price…

Ķīnas tirgiAkcijasTehniskie indikatoriSekošana tendencei
SuperMind

This A-share screening idea combines at least five overlapping moving averages, a circulating share count no greater than 5.5 billion, and a dividend payout ratio above 25% for 2019. The post interprets clustered averages as alignment across price horizons,…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This post describes a short-term A-share stock screen based on daily price amplitude above 1%, ranking by net large-order volume, and a reference to 2021 market conditions. It frames amplitude and large-order flow as measures of trading activity and…

AkcijasĶīnas tirgiTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This proposed A-share screen looks for stocks with at least five clustered moving averages, previous-day turnover above 8%, and a ten-day return above zero but below 35%. It also presents an expanded version adding valuation filters—price-to-earnings below…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note outlines an A-share stock screen combining at least five overlapping moving averages, a price around 18.5 yuan, and a 15-minute MACD histogram whose negative bars are getting shorter. It interprets clustered averages as a sign of price stability…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss