Morgan Stanley (MS) and Charles Schwab (SCHW) represent two leading players in the financial services sector, each offering distinct approaches to wealth management, brokerage, and capital markets activities. Investors and traders often compare these stocks to assess relative positioning within the broader market, particularly as interest rates, retail trading volumes, and institutional deal flow influence sector dynamics. This analysis provides a factual overview of recent performance, business models, and sentiment drivers, helping market participants evaluate trade-offs in a professional, data-driven manner.
Morgan Stanley operates as a global financial services firm with significant operations in investment banking, institutional securities, and wealth management. In recent market activity, the stock has shown resilience, closing at 218.07 on July 8, 2026, after a session decline of 1.79%. The shares have traded near multi-month highs, with a 52-week peak of 230.47 reached in mid-June 2026. Year-to-date returns stand at approximately 22-24%, outpacing broader market benchmarks. Recent developments include analyst price target increases and anticipation surrounding the firm’s second-quarter earnings report scheduled for mid-July 2026. Sentiment has been supported by strength in capital markets activity and wealth management revenue trends observed in prior periods.
Charles Schwab functions primarily as a retail-focused brokerage and wealth management platform with substantial assets under management (AUM) and emphasis on client trading and interest income. On July 8, 2026, the stock closed at 101.70, reflecting a minor decline of 0.23%. The shares have remained below the February 2026 high of 107.50. Recent weeks highlighted positive retail investor behavior, with the Schwab Trading Activity Index (STAX) reaching a four-year high of 59.12 in June 2026, up 7.33% from the prior month. The firm also passed the 2026 Federal Reserve stress test, underscoring capital strength. Performance has been influenced by fluctuating trading volumes and net interest margin dynamics amid shifting rate expectations.
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Morgan Stanley maintains a diversified business model that includes substantial investment banking and institutional securities exposure, providing revenue streams tied to mergers and acquisitions (M&A) activity and trading volumes. In contrast, Charles Schwab’s model centers on scale in retail brokerage, client assets, and net interest income (NII), making it more sensitive to interest rate changes and retail trading sentiment. Recent momentum has favored MS, which posted stronger year-to-date and one-year returns relative to SCHW. Risk factors differ as well: MS faces volatility from capital markets cycles, while SCHW contends with competition in low-cost brokerage and potential margin pressure. Sector exposure for both lies within financials, though MS carries greater institutional tilt. Market sentiment reflects MS’s outperformance amid broader equity gains, while SCHW benefits from indicators of retail participation such as elevated STAX readings.
Based on observable factors including stronger trend consistency in recent performance, diversified catalysts, and relative positioning versus benchmarks, Tickeron’s AI would currently assign a higher probabilistic favor to MS over SCHW in the near term. This assessment draws from comparative return data and momentum indicators without implying certainty or specific outcomes.
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It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
MS’s FA Score shows that 4 FA rating(s) are green whileSCHW’s FA Score has 2 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
MS’s TA Score shows that 3 TA indicator(s) are bullish while SCHW’s TA Score has 6 bullish TA indicator(s).
MS (@Investment Banks/Brokers) experienced а -0.45% price change this week, while SCHW (@Investment Banks/Brokers) price change was +1.75% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -7.53%. For the same industry, the average monthly price growth was -8.39%, and the average quarterly price growth was -19.38%.
MS is expected to report earnings on Jul 15, 2026.
SCHW is expected to report earnings on Jul 21, 2026.
These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
| MS | SCHW | MS / SCHW | |
| Capitalization | 349B | 178B | 196% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 25.896 | 3.187 | 813% |
| P/E Ratio | 20.03 | 20.35 | 98% |
| Revenue | 68.8B | 24.8B | 277% |
| Total Cash | 4.29B | N/A | - |
| Total Debt | 394B | 33.1B | 1,190% |
MS | SCHW | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 68 | 30 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 92 Overvalued | 84 Overvalued | |
PROFIT vs RISK RATING 1..100 | 6 | 57 | |
SMR RATING 1..100 | 7 | 7 | |
PRICE GROWTH RATING 1..100 | 10 | 23 | |
P/E GROWTH RATING 1..100 | 32 | 80 | |
SEASONALITY SCORE 1..100 | 50 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
SCHW's Valuation (84) in the Investment Banks Or Brokers industry is in the same range as MS (92). This means that SCHW’s stock grew similarly to MS’s over the last 12 months.
MS's Profit vs Risk Rating (6) in the Investment Banks Or Brokers industry is somewhat better than the same rating for SCHW (57). This means that MS’s stock grew somewhat faster than SCHW’s over the last 12 months.
MS's SMR Rating (7) in the Investment Banks Or Brokers industry is in the same range as SCHW (7). This means that MS’s stock grew similarly to SCHW’s over the last 12 months.
MS's Price Growth Rating (10) in the Investment Banks Or Brokers industry is in the same range as SCHW (23). This means that MS’s stock grew similarly to SCHW’s over the last 12 months.
MS's P/E Growth Rating (32) in the Investment Banks Or Brokers industry is somewhat better than the same rating for SCHW (80). This means that MS’s stock grew somewhat faster than SCHW’s over the last 12 months.
| MS | SCHW | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 57% | 1 day ago 44% |
| Stochastic ODDS (%) | 1 day ago 57% | 1 day ago 52% |
| Momentum ODDS (%) | 1 day ago 77% | 1 day ago 64% |
| MACD ODDS (%) | 1 day ago 56% | 6 days ago 60% |
| TrendWeek ODDS (%) | 1 day ago 56% | 1 day ago 61% |
| TrendMonth ODDS (%) | 1 day ago 61% | 1 day ago 60% |
| Advances ODDS (%) | 5 days ago 65% | 5 days ago 56% |
| Declines ODDS (%) | 7 days ago 58% | 20 days ago 60% |
| BollingerBands ODDS (%) | 1 day ago 58% | 1 day ago 48% |
| Aroon ODDS (%) | 1 day ago 56% | 1 day ago 57% |
A.I.dvisor indicates that over the last year, MS has been closely correlated with GS. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if MS jumps, then GS could also see price increases.
A.I.dvisor indicates that over the last year, SCHW has been closely correlated with RJF. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SCHW jumps, then RJF could also see price increases.
| Ticker / NAME | Correlation To SCHW | 1D Price Change % | ||
|---|---|---|---|---|
| SCHW | 100% | -0.72% | ||
| RJF - SCHW | 72% Closely correlated | -0.68% | ||
| LPLA - SCHW | 67% Closely correlated | +1.27% | ||
| NDAQ - SCHW | 62% Loosely correlated | +1.28% | ||
| MORN - SCHW | 57% Loosely correlated | +5.07% | ||
| SPGI - SCHW | 56% Loosely correlated | +1.70% | ||
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