Loading...





Recently Launched!
Check out Investor Copilot custom GPT, which lets you enjoy ChatGPT functionality with recent financial information
Conversationally interact with ChatGPT to now analyze updated prices, technical indicators, financial statements, macro-economic/company news & more for Stocks, ETFs & Cryptos

Historical Analogues for [IEP] Icahn Enterprises L P

Data updated 2024-Nov-15 (Friday)

  Historical Analogues searches history for Icahn Enterprises L P to find similar situations as compared to last market close on 2024-Nov-15 and presents subsequent performances for those cases. This adaptation of popular Machine Learning technique kNN provides historical context to recent performance

Provided As-is for informational/educational purposes only and should not be construed as investment advice . Past performance may not be not indicative of future results. Always consult your Investment Adviser before any decision

Share       

Others:  
Use widget to view Historical Analogues for other Stocks/ETFs/Indices

Outlook
Historical Analogues for Icahn Enterprises L P are calculated as of 2024-Nov-15 (10 days ago):
Next 5-day performance is estimated to be -0.1% using the mean of all subsequent performances (as frequency distribution is near even) of close matches. Outlook is neutral
Next 10-day performance is estimated to be -1.3% using the mean of all subsequent performances (as frequency distribution is near even) of close matches. Outlook is bearish
Next 20-day performance is estimated to be +4.3% using the more frequently occurring up subsequent performances of close matches. Outlook is bullish
Next 50-day performance is estimated to be +5.3% using the more frequently occurring up subsequent performances of close matches. Outlook is bullish
Next 100-day performance is estimated to be +5.7% using the more frequently occurring up subsequent performances of close matches. Outlook is bullish
Next 200-day performance is estimated to be -0.7% using the more frequently occurring down subsequent performances of close matches. Outlook is neutral


Summary 2024-Nov-15 Friday
Next 5d Next 10d Next 20d Next 50d Next 100d Next 200d
Frequency
55% ↑
45% ↓
57% ↑
43% ↓
76% ↑
24% ↓
66% ↑
34% ↓
87% ↑
13% ↓
33% ↑
67% ↓
Mean
-0.1%
-1.3%
+2.6%
+3.2%
+1.9%
-0.2%
Median
+0.0%
+1.1%
+3.2%
+3.3%
+5.7%
-0.2%
Minimum
-5.4%
-23.0%
-5.0%
-2.4%
-24.3%
-1.2%
Maximum
+5.2%
+5.7%
+6.9%
+7.7%
+6.5%
+1.0%

Similarity is calculated using normalized euclidean distances and factors curated attributes like the days performance, volatility, prior performance over multiple periods and key technical indicators like RSI, MACD etc.
Historical Analogues is primarily a point-in-time view of the state of the Stock/Index/ETF with lookback anchors past performance rather than comparing the exact path taken to get there. Model does NOT consider historical matches on absolute values of Open/High/Low/Close values.  There is inherent subjectivity as there are many different ways to calculate similarity, select features for the model etc. Results are provided for informational purposes only.

 Closest historical matches for 2024-Nov-15 below. Click on date to view historical record or inspect stats side-by-side on historic date vs last close using the compare functionality
Date Match Score Actions Next 5d Next 10d Next 20d Next 50d Next 100d Next 200d
97.5
+0.0%
-3.9%
-5.0%
+7.1%
+5.6%
-1.2%
97.5
-3.9%
-4.7%
-1.2%
+0.2%
+4.5%
+1.0%
97.4
-4.0%
97.4
+0.6%
97.4
+1.5%
97.2
-0.4%
97.2
-5.4%
-6.5%
-2.0%
-2.4%
+5.0%
-0.2%
97.2
-0.4%
-3.2%
+3.2%
-0.8%
+5.7%
97.2
+0.6%
+4.5%
+6.3%
+6.7%
97.1
+2.2%
97.1
+5.2%
+5.7%
+6.9%
+0.4%
97.0
+3.0%
97.0
-0.7%
+5.3%
+4.5%
+7.7%
97.0
+0.1%
-3.0%
+1.1%
-0.6%
+5.8%
96.9
+0.6%
+0.6%
+5.3%
+7.0%
-24.3%
96.8
+1.5%
+1.6%
+3.0%
+7.1%
+6.4%
96.8
+2.5%
+3.2%
+2.7%
96.7
-0.1%
+1.8%
+4.5%
+6.2%
96.7
-2.8%
+3.3%
+5.0%
-0.9%
+6.5%
96.7
-1.8%
-23.0%


Related to Icahn Enterprises L P

Information for Icahn Enterprises L P

  Current Detail : Recent daily/monthly performance & benchmark comparison
  Historical Detail : Historical performance & related information using Time Machine
  Financial Statements : Analyze Income Statement, Balance Sheet & Cashflow Statement and also compare with peers
  Bayesian Statement Classifier : Investigate historical financial statements to make probabalistic predictions using Artificial Intelligence
  Anomaly Detection : Investigate unusual recent performance & technicals with historical context using AI
  Historical Seasonality : Seasonal performance by calendar months
  Dividend History : History of Dividend Yield
  Technical History : Popular Technical indicator trends (RSI, MACD etc.)
  Metric Deciles : Contextualizing recent performance & technical levels into historical decile buckets
  Dollar Cost Averaging : Dollar Cost Average (DCA) over time in your portfolio
  Moving Averages : Key Simple & Exponential Moving Averages
  Historical Analogues : Insights from closest historical matches to recent performance using Artificial Intelligence Currently Viewing
  Chart Pattern Matching : Insights from similar historical charts to recent chart using Artificial Intelligence
  News Stories : News stories on 2024-Nov-22 on Google
  SEC Reports : Quarterly reports around 2024-Nov-22 on SEC Edgar

Compare Icahn Enterprises L P with other assets

  Market Performance : Recent performance across covered assets
  Historical Performance : Prior & Subsequent performance across assets on a historical date
  Market Technicals : Technical indicator levels across covered assets
  Market Seasonality : Seasonal performance by calendar months across covered assets
  Pair Correlations : Performance Correlations with other assets
  Beta : Volatility relative to the broad market
  Performance Comparison : Visually compare/benchmark performance with other assets over time
  Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation
  Sector : Industrials sector performance which includes Icahn Enterprises L P
  Industry : Industrial Conglomerates industry performance which includes Icahn Enterprises L P










Ask brAIn  Experimental
  •  Hi! Ask me something. Use names or tickers to identify stock / etf / crypto symbols (e.g. aapl for Apple Inc.) . Click on below for examples of queries, list of special shortcuts & more