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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
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
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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 stock-selection proposal screens for an RSI below 65, best-bid displayed volume greater than best-ask displayed volume, and three consecutive limit-up sessions. It frames the RSI and order-book conditions as technical and trading-activity…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese A-share screening idea combines three conditions: a high same-day increase in net position or buying activity, year-over-year net profit growth attributable to parent-company shareholders above 20% and no more than 100%, and more than two…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

The article proposes finding unusually large price moves across a range of lookback lengths, rather than relying on a single fixed period such as the conventional RSI or Bollinger Band settings. It estimates volatility from prior chart data, measures moves…

Tehniskie indikatoriSvārstīgumsAtgriešanās pie vidējās vērtībasValūtu tirgus
SuperMind

This Chinese-language post describes an A-share stock screen requiring RSI below 65, seven consecutive down sessions, and at least one limit-up session within the preceding 25 days. It presents the combination as a way to find stocks that have recently risen…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-language post describes a stock screen combining three conditions: amplitude above a stated threshold, previous-day trading value above a stated threshold, and the weekly price crossing above its 30-week moving average. It frames these as…

AkcijasTehniskie indikatoriCenas izrāviensSekošana tendencei
SuperMind

This proposed Chinese equity screen looks for turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a nonempty name and code for an outstanding convertible bond. The accompanying rationale treats turnover as a measure of…

Ķīnas tirgiAkcijasCenas impulssUz notikumiem balstīta tirdzniecība
SuperMind

The document outlines a real-time quote retrieval interface that accepts a security list and requested fields. It catalogs common daily price fields, including previous close, open, high, low, and current price, along with traded volume, turnover value, and…

AkcijasTirgus mikrostruktūra
SuperMind

This Chinese stock-screening note combines a historical dividend-ratio requirement with measures of trading activity and an upward-moving-average pattern. It describes selecting stocks with a 2019 dividend ratio above 25%, relatively strong capital-flow…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock-selection note combines relative trading volume with moving-average direction. It ranks stocks by volume ratio and selects those whose 5-, 10-, 20-, and 60-day averages are spreading upward, while also requiring the 30-day average to rise. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-screening idea looks for companies whose moving averages cluster together and whose revenue in 2021 exceeded revenue in 2018 by a ratio greater than 1.1. The article interprets clustered averages as a possible area of price support or resistance,…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection rule combines three technical filters: RSI below 65, amplitude above 1, and a shrinking MACD histogram below zero on a 15-minute chart. The document frames RSI and amplitude as ways to find relatively low-priced, volatile stocks, while…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This A-share stock screen selects names with turnover between 3% and 12%, a positive product of the day’s price change and net super-large-order flow, and a close above the previous day’s low. The accompanying formula adds filters for daily change from −5%…

Ķīnas tirgiAkcijasTirgus mikrostruktūraTehniskie indikatori
SuperMind

This Chinese equity screening proposal combines three filters: RSI below 65, tradable market value between 5 billion and 10 billion yuan, and at least one limit-up move during the prior 25 trading days. The stated aim is to find medium-sized stocks with…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post introduces grid trading as a dynamic rebalancing approach for stocks. Its basic premise is that prices fluctuate, allowing an investor to seek gains by buying at lower prices and selling at higher ones. The post frames grid trading…

AkcijasRežģa tirdzniecībaRiska pārvaldība
SuperMind

This Chinese-language post describes a stock screen combining three conditions: a 14-period RSI below 65, floating market capitalization between 50 billion and 100 billion yuan, and a price pattern labeled an arc. The accompanying Python example calculates…

AkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese equity screen combines turnover between 3% and 12% with a positive product of price change and net large-order volume, then applies a reversal or range-compression condition. Its described selection logic treats the combined price-change and…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This stock screen selects listed Chinese main-board shares with turnover between 3% and 12%, first-level bid volume greater than ask volume, and market capitalization above 200 million yuan. It then ranks qualifying shares by market capitalization and takes…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This equity screening proposal combines three conditions: a dividend payout ratio above 25% in 2019, evidence of main-holder control on the prior day, and a daily position increase above 5%. The article presents these as signs of shareholder distributions,…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This stock screen combines a price-movement condition, a technical signal, and a profitability history. It selects stocks with amplitude above 1, MACD above its zero line, and return on equity above 15% in each of five years. The document interprets these…

AkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document describes a China equity screening idea focused on stocks classified in the metaverse industry. It combines a relative volume filter, a bounded prior-day turnover rate, and a moving-average condition intended to select shares showing recent…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen selects Chinese equities with turnover between 3% and 12%, a 2021 listing year, and displayed best bid volume greater than best ask volume. The accompanying discussion frames turnover as a measure of trading activity and the bid-versus-ask…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This stock screen requires price amplitude above 1, prior-day trading value above 60 million, and a PE ratio above zero. It combines a short-term measure of price movement and market activity with a basic valuation filter. The document provides formulas for…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This stock-selection rule combines three filters: daily amplitude above 1, upward dispersion of moving averages, and turnover between 3% and 12%. The stated rationale is to find shares with meaningful price movement, a short-term upward bias, and a moderate…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed stock screen combines a price-range condition, a recent single-day gain threshold, and a turnover band. Its final version adds fundamental filters: a P/E ceiling, positive operating cash flow, and a price-to-book ceiling. The article presents…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība