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-selection approach screens for turnover between 3% and 12%, three consecutive declining sessions, and membership in selected industries, with military-related and high-technology companies given as examples. It combines a trading-activity filter…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
SuperMind

This stock screen looks for companies associated with the metaverse whose 30-day moving average is rising and whose shares recorded three consecutive limit-up sessions through the previous day. The document frames the combination as a way to identify stocks…

AkcijasCenas impulssCenas izrāviensTehniskie indikatori
SuperMind

This stock-screening idea combines three conditions: daily amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and MACD above zero. The author presents the crossover as a possible trend shift and positive MACD as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post proposes selecting stocks classified in the metaverse sector that appeared on the previous day's trading leaderboard and have a nonempty name for an outstanding convertible bond. It frames recent leaderboard activity as a short-term attention…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaRiska pārvaldība
SuperMind

This post describes a simple stock selection screen combining a 14-period Relative Strength Index below 65, membership in a beverage and alcohol import-export industry category, and a positive price-to-earnings ratio. The RSI condition is intended to capture…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

The article proposes a short-term Chinese equity screen requiring a 14-period RSI below 65, displayed best-bid volume greater than best-ask volume, and at least one limit-up event during roughly the prior month. It frames the combination as a way to find…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The article describes a Chinese equity screening idea that combines three conditions: at least five moving averages converging, a circulating share count no greater than 5.5 billion shares, and market capitalization below 10 billion yuan for companies…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This document describes an equity screen requiring turnover between 3% and 12%, circulating market capitalization between 1 and 55 hundred million yuan, and a three-limit-up sequence on the previous day. The stated intent is to identify recently strong…

AkcijasCenas izrāviensCenas impulssTehniskie indikatori
SuperMind

This document presents a monthly directional timing system intended to limit risk while maintaining market exposure. It combines an eight-period Ehlers Supersmoother with a 40-period simple moving average. The system enters or maintains a long position when…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
SuperMind

This stock-selection approach combines a minimum intraday range with afternoon large-order net inflows, positive auction-period buying signals, and net buying by very large orders above a stated threshold. The article frames range as a measure of activity,…

Ķīnas tirgiAkcijasTirgus mikrostruktūraTehniskie indikatori
SuperMind

This document presents a Chinese stock selection idea combining three signals: today’s increase in holdings above 5%, the prior day’s price above its 250-day moving average, and a 2019 dividend payout ratio above 25%. It frames these as indicators of capital…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document describes a Chinese stock watchlist screen using three technical conditions: daily amplitude above 1%, at least one limit-up event in the prior 25 days, and the current average price above its five-day moving average. It interprets amplitude as…

Ķīnas tirgiAkcijasSvārstīgumsCenas impulss
SuperMind

This post proposes a Chinese A-share stock screen combining three conditions: MACD above zero, positive price-to-earnings ratio, and ranking by capital strength from high to low. It interprets positive MACD as a sign of an upward trend, positive P/E as a…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The proposed stock screen selects shares with turnover between 3% and 12%, an external-to-internal trading volume ratio above 1.3, and circulating share capital no greater than 5.5 billion shares. The post frames turnover as a liquidity measure, the volume…

AkcijasTirgus mikrostruktūraTehniskie indikatoriĶīnas tirgi
SuperMind

This stock selection approach combines three filters: daily amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and an increase in institutional holdings relative to float shares. The document presents the crossover…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This note outlines a simple screen for Chinese metaverse-related stocks. It requires the 30-day moving average to rise relative to its previous reading and the price-to-earnings ratio to be positive. Formula and Python examples are included to show how the…

Ķīnas tirgiAkcijasSekošana tendenceiTehniskie indikatori
SuperMind

This note presents a stock-selection filter using three conditions: daily price amplitude above one percent, observations from 2021, and a measure formed by multiplying the prior day’s turnover rate by the ratio of today’s auction volume to yesterday’s…

Ķīnas tirgiAkcijasSvārstīgumsTirgus mikrostruktūra
SuperMind

This note describes a Chinese equity screen for metaverse stocks. It selects the five highest-ranked stocks by the day’s auction amount, then requires the DEA line to be rising compared with its previous value. The note gives an equivalent screening…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule screens for shares with daily amplitude above 1, a price move above a short moving average, and a low K value. The article’s final rule describes price crossing above the three-day moving average with K below 20. It also provides…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen targets the metaverse theme and combines elevated prior-day turnover with a rising intermediate trend: the 20-day moving average must exceed the 120-day average. Its final proposed rule adds annual net-profit growth above 20% and a…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This stock-selection idea combines three conditions: MACD is above zero on the current day, a prior-day condition described as main-force control is met, and MACD was below zero two days earlier. The proposed interpretation is that the positive current…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This note describes a technical screen for stocks in the metaverse theme. It looks for simultaneous bullish crossovers in MACD, KDJ, and DMI, together with a minimum daily high-low range relative to the prior close. The final stated threshold is above 0.8,…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This short-term A-share screen looks for stocks with an intraday range above 1%, relative volume between 1.5 and 6 times its five-day average, current volume above 10,000 lots, and an open at the session low. The article interprets these filters as seeking…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The screen selects Chinese beverage and alcohol related stocks with turnover between 3% and 12% and a prior closing price above its 250-day moving average. The article presents turnover as a measure of trading activity and the long moving average as a way to…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei