SPY Stock Return Analysis and Industry Performance Overview

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What was SPY's return:

• From Jan 1st 2023 to Jan 1st 2024
• From Jan 1st 2024 to Jan 1st 2025
• From Jan 1st 2023 to Jan 1st 2025

SPY Return Summary

Symbol	Period Label	Start Date	Start Price (USD)	End Date	End Price (USD)	Return (%)
SPY	2023-01-01	2023-01-03	371.56	2024-01-02	468.22	26.01
SPY	2023-01-01 to 2025-01-01	2023-01-03	371.56	2025-01-02	584.64	57.35
SPY	2024-01-01	2024-01-02	468.22	2025-01-02	584.64	24.86

Summary

The table above presents the performance of the SPY (S&P 500 ETF) over three distinct periods:

1. 2023-01-01 to 2024-01-01:

   • Start Price: $371.56 on January 3, 2023
   • End Price: $468.22 on January 2, 2024
   • Return: 26.01%

2. 2023-01-01 to 2025-01-01:

   • Start Price: $371.56 on January 3, 2023
   • End Price: $584.64 on January 2, 2025
   • Return: 57.35%

3. 2024-01-01 to 2025-01-01:

   • Start Price: $468.22 on January 2, 2024
   • End Price: $584.64 on January 2, 2025
   • Return: 24.86%

Pros and Cons

Pros:

• Consistent Growth: SPY has shown steady returns across all evaluated periods, indicating robust performance.
• Long-Term Gain: Over the two-year span from 2023 to 2025, SPY achieved a substantial return of 57.35%.
• Short-Term Stability: The one-year periods also reflect positive growth, making SPY a reliable investment option.

Cons:

• Market Volatility: While SPY has performed well, it is still subject to market fluctuations and economic uncertainties.
• Lack of Diversification in Data: The analysis focuses solely on SPY, which may not provide a complete picture of the market's performance.
• Potential Data Limitations: The analysis is based on specific start and end dates, which might not account for intra-year volatility.

Observations

• Significant Two-Year Return: The period from January 2023 to January 2025 saw SPY nearly double its value, reflecting strong market conditions or effective fund management.
• Steady One-Year Returns: Both one-year periods exhibit positive returns, suggesting sustained growth without significant setbacks.
• Timing of Investments: Investing at the beginning of these periods would have resulted in substantial gains, highlighting the importance of timing in investment strategies.

Conclusion

The analysis demonstrates that SPY has been a strong performer over the specified periods, offering impressive returns. However, it's essential to consider market volatility and ensure diversification to mitigate potential risks.

Disclaimer: This analysis is based on the provided data and AI-driven insights. While efforts have been made to ensure accuracy, AI analyses might be inaccurate. Always consult with a qualified financial advisor before making any investment decisions.

Repeat this analysis but have these groups:

• SPY
• All stocks
• All technology stocks
• All AI stocks
• All non-technology stocks
• All non AI stocks

Do it from

• From Jan 1st 2023 to Jan 1st 2024
• From Jan 1st 2024 to Jan 1st 2025
• From Jan 1st 2023 to Jan 1st 2025

Results

Below is a Markdown table summarizing the final results returned by the query. Because the only actual stock symbol in these aggregated findings is SPY, this table focuses on the six group categories specified:

group_name	num_symbols	avg_return_2023_2024	avg_return_2024_2025	avg_return_2023_2025
SPY	1	26.01	24.86	57.35
All Stocks	5127	13.03	15.93	35.05
All Technology	1691	13.48	17.67	37.19
All AI	267	26.29	48.73	86.48
All non-technology	3436	12.79	14.80	33.66
All non AI	4860	12.25	13.66	31.49

What the Query Was Supposed to Do

• It gathers price data for each stock on or just after January 1st of 2023, 2024, and 2025.
• It then calculates returns for three intervals: 2023→2024, 2024→2025, and 2023→2025.
• Finally, it aggregates these returns by groups: SPY itself, all stocks, technology stocks, AI stocks, non-technology stocks, and non-AI stocks.

This helps compare how different segments of the market performed across the same time frames in terms of average returns.

Observations

• SPY shows notably higher returns compared to the broad “All Stocks” category.
• AI stocks stand out with substantially higher average returns (26.29% from 2023 to 2024, followed by 48.73% from 2024 to 2025). This results in a combined 86.48% average return over the two-year period (2023–2025).
• Technology stocks overall show stronger performance than non-technology stocks, but not as dynamic as the AI subset.

Important Disclaimers

• The data here is aggregated and does not reflect the performance of every individual stock in each group.
• Any AI-driven analysis (including returns or categorizations) may be inaccurate or incomplete.
• Verify all information with trusted financial sources or a licensed advisor before making investment decisions.

What is the average return of stocks from Jan 1st 2023 to Jan 1st 2025? Group by all industries in the database

Industry Returns from January 1, 2023 to January 1, 2025

Below is a table showing all the industries returned by the analysis, the number of stocks in each industry, and their average return percentage over that period:

Industry Name	# of Stocks	Avg Return (2023→2025) (%)
quantumComputing	6	591.87
cryptocurrency	44	211.92
blockchain	49	194.18
graphicsCard	14	111.54
cruise	19	110.31
computationalChemistry	50	97.07
cybersecurity	178	95.89
security	205	87.93
gaming	101	83.54
streaming	86	81.06
distribution	2	80.60
chemicals	2	80.60
mobileApplication	208	78.10
database	112	77.92
artificialIntelligence	267	77.05
homeInsurance	112	72.95
augmentedReality	28	71.78
virtualReality	23	65.50
3dPrinting	19	64.06
autoInsurance	109	63.24
analytics	375	62.94
nanotechnology	12	62.82
foodDelivery	26	62.31
cloudComputing	391	62.15
education	119	61.74
spaceExploration	21	61.46
saas	506	61.12
miningAndNaturalResources	165	60.07
informationTechnology	784	58.24
defense	223	57.39
dataVisualization	137	57.11
enterpriseSoftware	502	56.46
airline	69	56.18
productivityTools	90	55.74
software	636	55.72
phones	39	55.13
payments	364	54.51
aerospace	197	53.72
customerEngagement	508	51.99
autonomousTransportation	74	51.78
socialMedia	51	51.75
digitalMarketplace	318	50.27
iot	150	49.89
telecommunications	194	47.28
silver	24	46.43
entertainmentAndMedia	233	45.95
financialServices	892	45.76
advertising	221	45.22
digitalSignatureAndAuthentication	43	45.12
thermalEnergy	32	44.38
hardware	606	44.26
ecommerce	491	42.00
utilities	165	41.18
rideShare	7	41.05
robotics	60	40.79
smartDevices	103	39.57
sportsBetting	12	38.04
videoConferencing	25	37.16
retail	666	35.81
semiconductor	123	35.61
jewelry	36	35.36
messaging	58	35.32
logisticsAndSupplyChain	439	35.13
windEnergy	51	35.00
hospitalityAndTravel	215	34.71
consumerElectronics	173	34.62
wearable	32	33.88
healthInsurance	139	33.87
gold	34	33.74
oil	225	33.12
waterPurifaction	33	32.99
technology	1693	32.92
construction	492	32.77
automotive	461	32.03
socialNetwork	17	31.12
lifeInsurance	112	30.80
musicAndAudio	60	30.71
transportation	455	30.63
gas	313	29.36
energy	606	29.36
gambling	31	28.37
waterTreatment	44	27.76
homeSecurity	28	27.72
manufacturing	1305	27.16
publishing	44	25.33
investing	486	24.98
luxuryGoods	73	24.91
solarEnergy	127	23.02
recreationalVehicle	35	22.85
materialScience	111	22.56
clothesAndApparal	124	21.62
foodAndBeverage	346	21.37
fashionAndApparel	124	20.68
renewableEnergy	270	20.09
research	871	20.07
videos	50	19.85
realEstate	526	19.02
cleanEnergy	287	18.76
nutrition	85	18.60
consumerGoods	698	18.49
alternativeEnergy	250	17.57
movies	46	17.31
printing	45	17.05
healthcare	1246	16.70
wasteManagementAndRecycling	33	15.64
television	62	15.35
petCare	46	13.53
personalAndHouseholdGoods	181	12.19
immunotherapy	476	10.32
medicine	839	9.80
bioinformatics	192	9.65
computationalBiology	204	8.88
biotechnology	854	8.70
sports	64	8.67
outdoorAndRecreationalEquipment	60	8.20
oncology	464	7.97
pharmaceuticals	731	7.96
digitalHealth	534	7.79
sportsAndFitness	36	7.31
forestry	20	6.83
veterinary	32	5.93
agriculture	219	5.77
electricVehicle	145	4.77
medicalDevices	334	0.97
batteryTechnology	110	-1.72
art	11	-11.08
vaccines	81	-16.94
cannabis	32	-22.19
homeAutomation	1	-48.02

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Interesting or Unusual Observations

• Industries such as “quantumComputing” and “cryptocurrency” stand out with enormous average returns, well above 100%. This could indicate small sample sizes, significant volatility, or a few outlier stocks driving up the average.
• On the lower end, “homeAutomation” shows a notably negative average return, with only one stock in that category for this dataset.
• Many technologies related to computing (e.g., “artificialIntelligence”, “cloudComputing”) show higher-than-average returns compared to traditional industries like “oil” or “realEstate.”
• Healthcare-related fields, such as “biotechnology” and “pharmaceuticals,” exhibit more modest positive returns, potentially indicating a slow rebound or stable growth.

Relation to the User’s Query

This data shows how stocks were grouped by industry and their respective average returns from January 1, 2023, to January 1, 2025. Each industry’s average return was calculated by:

1. Finding the stock’s adjusted closing price near January 1, 2023.
2. Finding the adjusted closing price near January 1, 2025.
3. Calculating the percentage difference.
4. Grouping all stocks that share a particular industry label (based on fields set to “true” in the “stockindustries.current” data).

Hence, this fulfills the user’s request to see average returns organized by industry over that two-year time span.

Important Reminder

While these figures can offer insights, always remember:
• AI analyses can contain errors or oversights.
• Average returns may mask large differences among individual stocks.
• The data is subject to revision and depends on completeness or accuracy of underlying records.

It’s always wise to consult authoritative financial sources or a qualified advisor before making any investment decisions.