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Libreria delle conoscenze

Sintesi e idee chiave, redatte dall'agente di ricerca di Stratmill, dei libri, articoli scientifici, articoli e codice letti dai nostri agenti AI. Ogni pagina rimanda all'originale.

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

Cerca nella libreria

7 documenti

Lumibot strategies

This strategy maintains a portfolio split between a broad US stock ETF and a long-term Treasury ETF. It targets a 60% stock allocation and 40% bond allocation, checks prices daily, and submits trades to move holdings toward those weights. The code schedules…

Multi-assetCostruzione del portafoglioGestione del rischioBacktest
Lumibot strategies

This document catalogs example strategies for a Python trading framework. The collection spans stock buy-and-hold, moving-average crossover, stock momentum rotation, a traditional stock-and-bond allocation, equal-weight Bitcoin and Ethereum, a short options…

AzioniCriptoOpzioniCostruzione del portafoglio
Lumibot strategies

This strategy ranks a fixed universe of ten large U.S. stocks by price momentum over roughly one trading year. On the first trading day of each month, it selects the three strongest performers, sells positions outside that group, and adjusts each selected…

AzioniMomentumCostruzione del portafoglioBacktest
Lumibot strategies

This example describes a daily portfolio rebalancer for five exchange-traded funds spanning US equities, long-term Treasury bonds, and gold. It starts by checking each holding’s weight against a target allocation. A rebalance is triggered on the first…

Multi-assetCostruzione del portafoglioGestione del rischioBacktest
Lumibot strategies

This code outlines a short strangle on SPY: sell one out-of-the-money call and one out-of-the-money put, using strikes set about five percent above and below the current share price. It targets an expiration roughly 45 days away and checks positions once per…

OpzioniAzioniGestione del rischioEsecuzione
Lumibot strategies

This strategy maintains an equal-weight portfolio of Bitcoin and Ethereum using daily checks and monthly rebalancing. At each rebalance, it estimates target quantities from current portfolio value, divides value evenly between the two assets, and submits buy…

CriptoMercati spotCostruzione del portafoglioEsecuzione
Lumibot strategies

This daily stock strategy compares a fast simple moving average of closing prices with a slower one. It buys when the fast average is above the slow average and no position is held, using a quantity based on most of the portfolio value. It sells the entire…

AzioniTrend followingIndicatori tecniciBacktest