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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Quantopian-forelesninger
45 dokumenter
Binance API docs
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

12,226 dokumenter

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…

AksjerKinesiske markederMomentumTrendfølgende handel
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…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
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…

AksjerTekniske indikatorerMomentumKinesiske markeder
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…

Kinesiske markederAksjerTekniske indikatorerTilbakevending mot gjennomsnittet
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…

Kinesiske markederAksjerTekniske indikatorerMomentum
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…

Kinesiske markederAksjerTekniske indikatorerTrendfølgende handel
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…

Kinesiske markederAksjerTekniske indikatorerMomentum
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…

AksjerKinesiske markederTekniske indikatorerMomentum
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…

Kinesiske markederAksjerMomentumTekniske indikatorer
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…

AksjerTekniske indikatorerMomentumKinesiske markeder
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…

AksjerTekniske indikatorerMomentumStatistikk
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…

AksjerKinesiske markederStatistikk
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…

AksjerKinesiske markederVolatilitet
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…

AksjerKinesiske markederTekniske indikatorerMomentum
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…

Kinesiske markederAksjerTekniske indikatorerStatistikk
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…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
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…

AksjerKinesiske markederTekniske indikatorerStatistikk
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…

AksjerKinesiske markederVolatilitetTekniske indikatorer
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…

AksjerTekniske indikatorerMomentumTrendfølgende handel
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…

AksjerTekniske indikatorerMarkedsmikrostruktur
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…

AksjerTekniske indikatorerMomentum
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…

AksjerTekniske indikatorerMomentumStatistikk
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…

AksjerTilbakevending mot gjennomsnittetTekniske indikatorer
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,…

AksjerKinesiske markederTekniske indikatorerTilbakevending mot gjennomsnittet