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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 proposed stock screen combines an RSI range, a ratio of outside to inside trading volume above a stated threshold, and a 20-day moving average above a 120-day average. The article frames these conditions as a mix of market sentiment, trading-flow…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock-selection idea combines three filters: MACD above its zero line, a price-change measure multiplied by large-order net volume, and a 15-minute MACD histogram whose green bars are becoming shorter. The accompanying discussion interprets the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share screening concept combines price amplitude above 1, a rounded or arc-like price pattern, and a minimum listing age. The article describes the rounded pattern as a way to favor smoother price behavior and suggests that longer-listed…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The proposed stock screen selects shares with turnover between 3% and 12%, excludes Beijing-listed A-shares, and seeks evidence of institutional buying at lower prices. The article frames institutional accumulation as a signal of focused research, while its…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock screen combines three daily filters: price amplitude above 1, a controlling-shareholder measure above 21, and a positive price-to-earnings ratio. The article presents the combination as a way to include market activity, shareholder positioning,…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This stock screen combines three filters: daily trading amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and circulating market capitalization between 5 billion and 10 billion yuan. The article presents the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The article describes a China-focused stock-selection screen for the metaverse theme. It combines membership in the metaverse sector with an opening gain below 6% at 9:25 and a condition described as a three-limit-up streak on the previous day. It provides…

AkcijasĶīnas tirgiCenas impulssVēsturisko datu pārbaude
SuperMind

This proposed Chinese equity screen combines price stability, trading activity, and dividend history. It looks for stocks whose 5-, 10-, 20-, 60-, and 120-day moving averages converge, yesterday’s turnover exceeds 8%, and the 2019 dividend payout ratio is…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This proposed stock screen combines a 14-period RSI below 65 with a tradable market value between 50 and 100 billion yuan and a circulating share count no greater than 5.5 billion. The accompanying example calculates RSI from recent average gains and losses,…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese A-share screening recipe combines three filters: RSI below 65, the ratio of external to internal trading volume above 1.3, and prior-day actual turnover between 3% and 28%. The article presents these as measures of technical condition, trading…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This stock selection example screens companies in the metaverse industry using three simultaneous bullish crossovers: MACD over its signal line, the five-day average over the ten-day average, and the five-day average over the twenty-day average. It further…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an equity screen for stocks with daily amplitude above a threshold, a rising-bottom pattern, and seven consecutive declining sessions. It frames the decline streak as a possible oversold condition that could precede a…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This Chinese-language post describes an equity screening rule that combines membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and a lagged MACD condition. The intended rationale is to focus on…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese equity screening rule that combines a turnover rate between 3% and 12%, outside volume more than 1.3 times inside volume, and a recent high matching the stock’s historical high. Its accompanying Python example adds a…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening example selects stocks using daily amplitude, a measure labeled today's controlling share change, and circulating market capitalization. It then expands the screen with positive price-to-earnings below a stated ceiling and a…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock-selection rule combines a positive MACD condition, an upward-moving average condition, and a filter on the prior day's actual turnover. The document explains these as trend and liquidity cues, then provides indicator formulas and a Python example…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This A-share screening idea combines a turnover filter with a newly formed KDJ golden cross and an RSI ceiling. Its stated rationale is to exclude shares with very low or unusually high activity, look for a possible trend turning point, and avoid stocks…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a short-term A-share stock screen based on trading activity and recent price strength. Its stated conditions are intraday amplitude above a threshold, current volume above a threshold, an opening price above the prior close, and at…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes an equity screen requiring daily amplitude above one percent, an opening price near the 10-day moving average, and the prior closing price above the 250-day moving average. Its rationale combines short-term movement, an opening near a…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This stock-selection post screens equities in the metaverse theme, requiring a positive price-to-earnings ratio and a price-change condition below six percent at 9:25. It presents the sector filter as a way to focus on a popular theme and positive P/E as a…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This Chinese-language strategy post proposes screening equities with three conditions: RSI below 65, best bid volume greater than best ask volume, and a shrinking negative MACD histogram on a 15-minute interval. The intended interpretation is that buying…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

The document describes a Chinese equities screening rule: keep stocks with turnover between 3% and 12%, require first-level bid volume to exceed first-level ask volume, rank candidates by the day's auction amount, and select the top five. It presents the…

AkcijasĶīnas tirgiTirgus mikrostruktūraPozīcijas apjoma noteikšana