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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
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 document outlines a Chinese-market stock screen that selects companies associated with the metaverse concept, requires the 30-day moving average to be rising, and limits the stated 10-day gain to a positive value below 35 percent. It presents this as a…

AkcijasĶīnas tirgiCenas impulssSekošana tendencei
SuperMind

The document presents a Chinese equity screening idea based on daily price amplitude above one percent, a K-line indicator below 20, and a stock price near 18.5 yuan. It explains the first condition as selecting stocks with price movement, the second as…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This stock-selection proposal screens for shares with MACD above its zero line, ranks candidates by popularity, and requires at least two limit-up sessions within the prior 500 trading days. Selection is scheduled after the weekly close. The post explains…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document proposes a short-term Chinese stock screen that combines RSI below 65, a circulating market capitalization between 5 billion and 10 billion yuan, and three consecutive daily declines in closing price. It describes RSI as a way to assess recent…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

The document proposes screening Chinese stocks in the metaverse industry using technical signals and the opening-auction return. Its stated criteria combine three indicators crossing upward with an auction return between -2% and 5%. The listed indicator…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection proposal looks for shares with daily amplitude above 1%, weekly MACD above the zero line, and a rising 30-day moving average. The article frames amplitude and MACD as measures of market activity and direction, while the rising average is…

Ķīnas tirgiAkcijasTehniskie indikatoriSekošana tendencei
SuperMind

This Chinese A-share screening proposal combines three conditions: a 14-period RSI below 65, external trading volume divided by internal trading volume above 1.3, and more than two limit-up days within the prior ten days. It presents the mix as a way to find…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a stock screen combining four conditions: daily high-low amplitude of at least one percent, positive net profit, market capitalization no greater than 10 billion yuan, and a closing price above its 250-day moving average. It frames the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document presents a stock selection rule using price amplitude, a recent three-session limit-up sequence, and turnover constrained to a stated range. It explains these filters as a way to favor active, recently strong stocks while excluding turnover that…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This post outlines a daily stock screen using three conditions: MACD above the zero line, share price below 12 yuan, and a morning star candlestick pattern. It describes running the selection before 10 a.m. and includes example formulas and partial Python…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post describes an equity screen that combines price movement and recent strength: amplitude above one, a rising price bottom, and at least one daily gain of 10% or more during the previous 25 trading sessions. It presents the conditions as a way to find…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This document specifies a screen for Chinese main-board stocks with turnover between three and twelve percent, floating market capitalization between 5 and 10 billion yuan, and a closing price below 12 yuan. It includes a formula-style condition and a Python…

AkcijasĶīnas tirgiStatistika
SuperMind

This document describes a Chinese equity screen that selects stocks with daily price amplitude above one percent, excludes Beijing-listed shares, and requires a nonempty name for an outstanding convertible bond. It gives formula and Python examples, but the…

AkcijasĶīnas tirgiSvārstīgums
SuperMind

This Chinese-language post outlines a stock screen combining three conditions: membership in the metaverse theme, a positive institutional-flow measure, and a rising or diverging moving-average signal. It gives formula references and a Python example that…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post presents a basic A-share stock screen that selects stocks with turnover between 3% and 12%, excludes Beijing-listed stocks, and requires a 14-period RSI below 65. It frames turnover as a liquidity filter and RSI as a way to identify stocks that may…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
SuperMind

The document describes a stock selection screen that combines a turnover range, a listing-year filter, and a price-to-earnings ceiling. Its stated logic selects stocks with turnover between 3% and 12%, an IPO year of 2021, and P/E below 20. It also gives an…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This proposed stock screen combines a daily price-range threshold above one percent, previous-day turnover above 60 million, and membership in a selected company type or industry. The article describes the company classification as an additional filter…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This stock screen selects Chinese equities whose daily high-low range exceeds one percent, whose price is below 12 yuan, and that have recorded at least one limit-up event during the prior 25 trading days. The article presents the conditions as a way to find…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese-language post describes an equity screening rule that combines a relative strength index below 65, the product of percentage price change and large-order net inflow, and a price above its 250-day moving average. The stated rationale is to…

AkcijasTehniskie indikatoriCenas impulssSekošana tendencei
SuperMind

This post proposes screening stocks for daily amplitude above 1, positive large-order net volume above 0.05 over three consecutive days, and a pattern described as three consecutive down days. It supplies example formula fragments and Python calculations…

AkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This post describes a stock screen combining a 14-period RSI below 65, bid-side volume greater than ask-side volume, and a current daily low below the previous day’s low. It provides example indicator logic and a Python implementation that applies those…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This post outlines a Chinese equity screen using turnover between 3% and 12%, a daily gain greater than 1%, main-board membership, and a K-line condition described as below 20. The accompanying code example instead checks whether the latest K value is below…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

The post describes an equity selection screen combining price movement, volatility, and a short-term trend condition. Its stated criteria are amplitude above 1, upward-diverging moving averages, and an intraday maximum decline between 4% and 5%. The proposed…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This Chinese-language article proposes screening stocks whose RSI is below 65, whose prices have fallen for seven consecutive sessions, and whose company size exceeds 200 million. It presents the combination as a simple technical screen with a size filter,…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības