A Masterclass student named Ali asked a question that comes up whenever traders start building a large strategy library: “Once I have more than 100 strategies, how will I trade them? It doesn’t look practical to me to have 100 charts open in TradeStation. What software are semi-pro traders using? And what are you using?”
It’s a practical question that reveals a common misconception about why you build a large number of strategies in the first place – and once that misconception is cleared up, the monitoring and execution question becomes much more manageable.
The Core Clarification: You’re Not Trading 100 Strategies Simultaneously
The goal in building 50, 100, or even 500-900 strategies isn’t to run them all live at the same time. That would be unwieldy, expensive, and actually counterproductive.
The reason to build a large strategy library is to have the luxury of selection. Once you have 100 strategies, you prototype several different portfolio configurations – each portfolio containing 5-15 strategies – and then identify the single best portfolio based on correlation, diversification across markets and timeframes, equity curve smoothness, and drawdown characteristics.
The portfolio you actually trade might have 8 strategies. Or 12. Or 15. But having 100 candidates to draw from means you can find the genuinely optimal combination rather than just trading whatever you happened to build.
In our hedge fund, the first live CTA program runs five strategies. The second program launching soon has ten. The third planned program will have a maximum of fifteen to twenty. We haven’t found practical benefit in running more than twenty simultaneously at this point – with that many strategies across different markets and timeframes, you already have substantial diversification and very smooth equity.
The large number of strategies in the database exists for portfolio construction and contingency planning – not for simultaneous live execution.
Why 5 Strategies Can Generate Excellent Results
If the idea of managing 20 strategies sounds daunting, the relevant data point is that our first hedge fund program with five strategies has performed very well. The Masterclass coaching sessions cover the actual hedge fund results in detail – including the performance breakdown – so students can see concretely what’s achievable with a small, well-constructed portfolio.
Five well-chosen, genuinely low-correlated strategies across different markets and timeframes deliver substantial diversification. The equity curve is smoother than any single strategy could achieve, the maximum drawdown is reduced, and you’re not dependent on any one market condition to generate returns.
The practical upshot for Ali and other Masterclass students: build your 50+ strategy library for the selection process, then execute a portfolio of 5-12 strategies in live trading. The 100-strategy library isn’t the goal; it’s the means to building the best possible 8-strategy portfolio.
Execution Monitoring: How to Watch Your Live Strategies
There are two distinct types of monitoring, and it’s worth separating them clearly.
Execution Monitoring – Watching the Platform Run
Execution monitoring means confirming that your trading platform is actually sending and filling orders as expected. For a portfolio of 5-20 strategies in TradeStation, this is not a complex task. TradeStation handles that kind of load comfortably – you don’t need specialized infrastructure until you’re running considerably more strategies than that.
The practical setup most traders use:
- Run TradeStation (or MultiCharts – both use the same EasyLanguage) on a remote server located in or near the trading infrastructure’s geographic center (in the US, for US markets)
- Access the server remotely via mobile or laptop – RDP or similar remote desktop tools work well
- Check in once every one to two hours during trading hours for a three-second visual confirmation that everything is running
Andrew’s setup runs the platform on US-based servers, and his Australian time zone means he checks in once a day when the US market is closing – which aligns with his morning. He noted that TradeStation has been quite stable over time, with one practical caution: any time there’s a software update, watch it more closely for the first few days until you confirm the update didn’t introduce any issues.
I used a similar remote monitoring approach during years of extended travel around Asia – Thailand, Malaysia, Taiwan, Borneo. The only gap was a week in Laos, which apparently fell in T-Mobile’s 1% uncovered territory. That was an inconvenient data point about roaming reliability in remote locations.
For our hedge fund, we have a dedicated person watching execution in real time – but that’s because the capital levels involved justify that resource. For a retail trader or semi-pro trader, remote check-ins a few times a day are perfectly adequate.
When to Skip a Trade Due to Execution Issues
All trading platforms have occasional issues – crashes, connection drops, update problems. This is a reality you accept as part of running automated strategies. The approach is not to fight it, but to have protocols: know when to skip a trade if the platform missed it, versus when to override and enter manually. These specific scenarios and decision rules are covered in the Masterclass.
Performance Monitoring: Comparing Live Results to Your Risk Profile
Performance monitoring is the more substantive discipline, and it serves a different purpose than execution monitoring. Here you’re asking: is this strategy performing as expected based on its historical characteristics, or is something changing?
The Monthly Review Process
In our hedge fund, the performance review happens once a month. A team member spends approximately one hour on this – not a major time commitment, but a disciplined one. The process:
- For each strategy in the portfolio, compare the current live performance to the backtest and Monte Carlo analysis results
- Check whether the live maximum drawdown is tracking within the expected range
- Look for deviations in either direction – underperformance and overperformance both warrant attention
Underperformance is obvious – if a strategy is drawing down harder or more frequently than the Monte Carlo worst-case suggested, that’s a signal to investigate. But overperformance deserves equal attention: if a strategy is running well above its historical average, expect reversion. Get ready mentally and operationally for a drawdown period that will bring performance back toward the mean.
The risk profile you’re comparing against should be built from the strategy’s backtest characteristics plus Monte Carlo analysis of worst-case scenarios. Building this profile correctly – so that your monthly comparisons have a meaningful benchmark – is covered in the robustness and capitalization sections of the Masterclass series on validating strategies.
Every Two Months Is Also Acceptable
For traders with smaller portfolios and simpler strategies, monthly reviews are sufficient – but even every two months would catch most meaningful deviations before they become serious problems. The key is consistency: do the review on a fixed schedule rather than only when something feels wrong.
Strategy Longevity Tracking
There’s a third monitoring dimension beyond execution and performance: longevity tracking.
With nearly 1,000 strategies tracked in our database over approximately three years, we’ve developed a longevity profile – an empirical picture of when strategies typically start to slow down. Not fail catastrophically, but begin to show declining profit factors and gradually deteriorating overall performance. This is different from a drawdown – it’s a more gradual drift in the underlying edge.
Based on that data, we have a rough schedule for when to start considering portfolio actualization – swapping out strategies that may be aging and replacing them with fresh candidates from the library. Currently, that review happens once a year to once every two years. Not a monthly or quarterly concern.
This is another reason the large strategy library matters: you need candidates ready when it’s time to rotate. If your only five strategies are all live and two of them are aging, having nothing to replace them with forces a choice between trading degraded strategies or going to cash. A deep library eliminates that constraint.
Software Recommendations
Execution Platform
Our hedge fund uses TradeStation as the primary execution platform. MultiCharts is a valid alternative that uses the same EasyLanguage, so code developed in one can generally run in the other. For Masterclass students specifically, TradeStation is the recommended platform because it supports certain testing and development features that are central to the process.
Every platform has occasional issues. This is not a reason to avoid automation – it’s just a practical reality to build protocols around. The question isn’t which platform never crashes; it’s which platform’s crashes are manageable given your monitoring setup and protocol.
Performance Analysis Tools
For Monte Carlo analysis and performance monitoring benchmarking, dedicated Monte Carlo software is the right tool. Running worst-case scenario analysis through Monte Carlo simulation gives you the distribution of potential outcomes – including the tail events that matter most for knowing when a strategy is genuinely deviating from expected behavior versus just going through a normal rough patch.
The alternative – relying only on backtest averages as your benchmark – consistently understates the range of what can happen. Trading returns don’t follow a normal distribution. Tail events occur more frequently than standard models predict. Monte Carlo analysis builds in a more realistic picture of the variance.
Summary: The Practical Monitoring Framework
| Monitoring Type | Frequency | Time Required | Primary Tool |
|---|---|---|---|
| Execution monitoring | 1-2x per day | 3-10 seconds per check | Remote desktop to TradeStation |
| Performance monitoring | Monthly (every 2 months minimum) | ~1 hour | Monte Carlo analysis software |
| Longevity review | Annually to every 2 years | Several hours | Strategy database + performance history |
The overall time commitment for monitoring a live portfolio of 5-15 strategies is low – a few seconds of execution checks per day and a couple of hours per month for proper performance review. The work is front-loaded into strategy building and portfolio construction. Once you’re in execution, the ongoing overhead is modest.
For the full framework on building and testing strategies before they reach the execution stage, the final stress tests every strategy must pass covers what needs to happen before a strategy goes live.
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