Quant Trading Academy Module 5, Part 13

Everything in this Academy has been building toward a single practical question: what does a well-run trading session actually look like?

This final post is operational. It lays out a structure for how to approach your time with Quant, from the moments before you open the feed to the weekly review that tells you whether your process is working. None of this is rigid prescription. It is a framework you adapt to your schedule, your style, and the number of positions you realistically manage. The goal is to replace improvisation with intention.

Before You Open the Feed

The worst time to make decisions about how you will behave is after you can see live prices and open positions. Decisions made under live market conditions are decisions made under influence. The pre-session routine exists to remove as many in-session decisions as possible by making them in advance.

A practical pre-session checklist runs as follows.

Review your current exposure. What positions are you already holding? What is your total open risk as a percentage of your account? How much capacity do you have for new positions within your predefined maximum? These numbers should be known before you look at a single new signal.
Check the funding rate environment. As covered in Part 6, a two-minute check of the current funding rate for the assets you are likely to trade gives you context before you commit to anything. Note whether funding is elevated, which direction it favours, and whether this is consistent with or contrary to the signals you are likely to see.
Note any scheduled macro events. Check an economic calendar for the session ahead. Central bank decisions, CPI releases, and similar events that fall within your intended holding window are flagged now, not discovered mid-position. If your pre-defined policy excludes holding leveraged positions into these events, knowing about them before the session means you can factor them into your entry decisions rather than reacting to them mid-trade.
Assess the broad regime. A brief look at BTC price structure, BTC dominance, and the aggregate long/short balance in the Quant feed takes under five minutes and gives you a working read on the current environment before you engage with individual signals.

This entire pre-session process should take ten minutes or less. Its value is not in the information it surfaces, which you might know intuitively. Its value is in making the assessment deliberate rather than ambient.

During the Session

Open the feed with a clear risk budget in mind. You know what you have open. You know what your maximum is. The number of new positions you can add and at what sizes is already determined before you evaluate a single signal.

Evaluate signals against your criteria, not your mood. The filters that determine whether a signal is worth acting on are the ones covered in Part 9: proximity to entry, risk to reward at current price, confluence with the broader directional read, and whether adding the position keeps you within your risk rules. These criteria apply consistently regardless of whether the last three trades won or lost.

Enter with a complete plan. Before executing any position, you should know your entry, your stop, your intended position size, and your general intention for the trade. Not a precise exit target, which the market will determine, but a clear understanding of what you are risking, why the setup makes sense, and what would cause you to exit early if that condition arose. Entering without this is not trading. It is hoping.

Do not watch positions constantly. This is easier said than followed, but chronic position monitoring is one of the primary drivers of premature exits and irrational decision-making. If your stop is set correctly, the position either hits its target, hits its stop, or requires a reassessment at a later, calmer point. Watching tick by tick adds anxiety without adding information.

The Weekly Review

The weekly review is where real improvement happens. Not in the session, where you are reacting. In the structured, post-hoc assessment of what actually occurred.

A useful weekly review addresses the following questions with honesty:

How many signals did I act on, and how many did I consciously pass on? For each signal passed on, what was the stated reason? Does it hold up against the criteria in Part 9?
Did I execute entries and exits at the levels I intended? If not, why not? Was it slippage, hesitation, or a mid-trade decision to deviate?
Was my sizing consistent with my rules? Did I increase size on a trade because I felt more confident about it? Did I reduce size after a losing streak? Both of these are deviations worth noting.
Did I breach any of my pre-defined rules? Maximum open risk, drawdown threshold, macro event policy. A breach is not a catastrophe. It is data. What caused it?
What does my process score look like, independent of P&L? If you executed correctly all week and lost money, that is a good week by process standards. If you broke your rules twice and happened to make money, that is a week worth examining carefully.

This review does not need to take more than thirty minutes. It needs to happen every week without exception, including the weeks where you did not trade much or where you would rather not look at the numbers. Those are often the most instructive reviews.

Scaling Up

Most traders think about scaling as a reward for recent success. If the last few weeks were good, they increase their size. This is outcome thinking applied to position sizing, which is the wrong frame.

The criteria for scaling should be process-based and defined in advance:

You have a sufficient sample size. Scaling up after ten trades is premature regardless of the results. Fifty to one hundred executed trades under consistent conditions gives you meaningful data about whether your process is working.
Your process review shows consistent rule adherence. If you are regularly breaching your own rules, scaling up magnifies the problem. Consistent execution at current size comes first.
Your drawdown profile is within expected parameters. Maximum drawdown to date is within the range you modelled for your strategy at this sizing level. You are not scaling up while already in a drawdown.
Your psychology is stable. This is harder to assess objectively, which is why the trade journal and weekly review provide evidence you can refer to rather than relying on self-perception.

When these conditions are met, scaling up is a reasoned business decision, not an emotional one.

What Longevity Actually Looks Like

The traders who are still operating profitably a year or two from now will not necessarily be the ones who had the best returns in any single month. They will be the ones who built a process robust enough to survive variance, disciplined enough to avoid self-inflicted damage, and honest enough to review their own behaviour without flattering themselves.

Quant gives you a structural edge that most traders spend years searching for and never find. The routine described in this post is the container that allows that edge to compound over time. Without the container, the edge leaks.

Build the routine. Follow it when it is boring. Follow it especially when it is not.

Key Takeaways

A pre-session routine of ten minutes or less removes improvised decisions from the session itself. Check your exposure, funding rates, scheduled events, and the broad regime before looking at signals.
Enter every position with a complete plan: entry, stop, size, and rationale. Entering without this is not trading.
Do not monitor positions constantly. If your stop is correctly placed, tick-by-tick watching adds anxiety without adding information.
The weekly review is where improvement happens. Assess process, not just P&L. A correctly executed losing week is a good week.
Scale up based on process criteria defined in advance, not as a reward for recent results.
Longevity in trading is a product of process discipline, not short-term performance. The routine is the edge multiplier.

This concludes the Quant Trading Academy. For the full curriculum, start with the Getting Started guide at MyQuant.gg