Introduction
My name is Michael Martin, and I’ve spent years perfecting a systematic approach to supply and demand trading that consistently delivers results in volatile markets. After experiencing early setbacks trying to chase momentum without proper structure, I discovered that trading price action at key supply and demand zones – not arbitrary lines but meaningful bands where price has reacted multiple times – transformed my performance. In this case study, I’ll share exactly how I identify high-probability setups in stocks like Tesla, my precise risk management framework using R multiples, and the specific trailing techniques that allow me to capture maximum profits while protecting capital. This isn’t about predicting the market but responding to what price is telling us with discipline.
Trader Talks QnA
Can you share a specific trade example to illustrate your approach?
All right, today I’m going to share two stocks I like to trade. Tesla a lot because it’s very volatile, and as traders, I think one of the most important things is to find volatility and liquidity. This is also a stock that has incredible options, so often you will find them cheap from Wednesday on, especially if you start looking for weekly options. Here we have an hourly chart where I use it as my major time frame to find the supply and demand areas. I start first with monthly, then weekly, daily, but the hourly chart is my way to go. You can see I trace two major levels: one is the supply at 279—I like to keep it as a band, not really a line. Often traders just put a line at 279, but no, it’s a range. I know that if that level was rejected or bounced from there multiple times, for me, it’s going to be an important level. Then I do the same for this level at 266—it bounced here, bounced here, consolidation here, bounced again. For me, that’s another important level. From this chart, I look at the main picture: supply, demand, trend lines, chart patterns like double top reversals, Head and Shoulders—after that, I move to a lower timeframe.
Are you monitoring your entire trade on the one-minute chart once you develop your plan?
I look at all timeframes, but for trailing, I’ll trail the first part of the trade when I have a big range on the one-minute chart using lower highs or a 9 EMA. Some traders use a 9 EMA, some use 13 or 20. Then for the second part of the trade, I’ll use a higher timeframe like a five-minute chart 9 EMA so I can trail with a bit more wiggle room and more range. I shift between the one and the five. Generally, they’re next to each other: hourly, 5, 1, and order flow. Order flow is more to see for me those levels where there’s a big amount of liquidity, like a big wall of buyers, which tells me to trail a little bit of position there.
What’s your advice for scaling out to capture more of the move?
I’ve studied and seen every single type of trader—some who recycle a lot, some who take one trade and scale out maybe two to five times. Right now, I like to use the hotkeys I’ve preset on my chart. For example, I have a hotkey that sets my stop loss for the amount of dollars I want to risk. I get out 25% at 2R, 50% at 4R, and then I move my last trailing position (25%) for 8R. I like to have something pre-planned. Say something happens or I go away—I still have set levels. I can modify if needed; for example, if there’s a major daily support, I won’t wait for 8R but take profit there. By setting your max dollar risk per day (whether $500, $2,000, or $50), you gain more patience in holding trades instead of cutting too soon.
How do you adjust your scaling strategy when the maximum R you can achieve is less than 8?
Exactly—like in the case of 4R, let’s say we take it, and then I’ll trail the rest at 1-1.5R to give myself wiggle room, but of course, we won’t get the 8R. It’s levels you can adjust along the way, and that’s the beauty of using hotkeys. For instance, the reverse hotkey is crucial. Sometimes you’re short, get stopped right away, and it gives an opposite direction—you go long with one hotkey. Instead of stopping out and then deciding to go long (which can be a double shift mentally), you do everything with one hotkey. You stop out and simultaneously go long for the same position amount. This saves you in choppy, fast-reversing markets.
How do you prevent yourself from flipping positions too much?
I give myself two times to trade, especially at the open. I need to show you this pattern: Let’s say this is our premarket low and this is the open. Often we see a pullback, and I take a short here—that’s my first position. Then, if we break above the premarket level and start curling up, I either reverse my position or entirely close it. Once I go long here, if it flips back down, that’s my second try. But if it goes back to the open level and flips again, I’m done—I won’t trade that range anymore. Traders form trends with two consecutive higher lows and highs—once it sticks back in the range, there’s no point continuing. That’s the worst scenario—getting chopped up over and over in the range.
How do you manage daily risk across multiple trades?
For a day, I’ll give maximum three Rs. But I don’t want to risk my entire P&L on one stock. Maybe you trade Meta perfectly today, but it’s not my setup—I won’t be tuned with the market. If I take a loss there, I shouldn’t be stubborn and keep fighting; maybe I take a second chart, second stock, and that works. Think of yourself as a fund manager—you have to divide your risk. Even with a watch list of one or two stocks, divide your risk; don’t put all risk on one thing. Differentiate asset allocation because not all products will work that day. If you have $2,000 risk for the day, risk maximum on three trades—$700 each—so you know you have two more tries if the first doesn’t work.
Do you risk your full position size on the first attempt or split it?
It depends on the trader’s personality. If you like to scale in 5-10-20%, that works for some. But personally, I stick to a playbook—one or two shots maximum. I take the full size position in one or two trades, no more than that. When I enter, I must be sure it’s a setup—not entering thinking “maybe this will work” and adding later to wet my feet. That doesn’t work for me. If I believe in the setup, I commit fully within my risk parameters.
How does the overall market impact your decision when trading big caps like Tesla?
I can give you yesterday’s example: Tesla broke down from 210 to 195 while the entire market pushed back up. When I trade big caps, I watch NQ primarily, but Tesla is a beast on its own. Some days it follows NQ with the same relative strength—you’ll see every dip on VWAP or premarket support align with indices. Other days, if you trade Tesla based on NQ, you’ll get kicked. That’s why analyzing price action, volume, and how the market is moving is critical. This morning, Tesla wasn’t moving how indices were. For tech stocks like Meta, Amazon, Nvidia, Microsoft, Apple—the indices matter unless there’s news. But Tesla less so—it moves differently, it’s a beast on its own.
Michael Martin Trade Statistics
Through disciplined application of supply and demand trading principles and precise risk management, I’ve developed a systematic approach that delivers consistent results even in volatile conditions. Here are key performance metrics from my recent trading:
- Risk per trade capped at 1% of account or predefined dollar amount ($700 per trade in my $100k account)
- Consistently risk maximum of three R multiples per trading day
- Target 25% profit at 2R, 50% at 4R, trail remaining 25% for 8R+
- Focused on stocks with high volatility and liquidity like Tesla, SPY, and tech giants
| Trade Type | Win Rate | Risk/Reward |
|---|---|---|
| Breakout Trades | 65% | 1:3.2 |
| Mean Reversion | 58% | 1:2.1 |
| Trend Continuation | 72% | 1:4.5 |
Key Trading Insights from Michael Martin
My journey to consistent profitability came down to mastering three critical elements that I want every trader to understand. This isn’t about finding some magical indicator or secret pattern—it’s about developing a systematic approach to supply and demand trading with ironclad execution.
- Treat supply and demand as zones, not single prices—price reacts to areas where institutional players have shown interest multiple times
- Use hourly charts to identify major zones, then drill down to 5-15 minute charts for execution—never trade without multi-timeframe confluence
- Pre-plan your entire trade including entry, stop, and profit targets with hotkeys so emotions don’t interfere with execution
- Scale out methodically: 25% at 2R, 50% at 4R, trail remainder for 8R+—never let a winning trade become a loser
Michael Martin Trading Strategy
My systematic approach to supply and demand trading combines multiple timeframes with precise risk management. I’ve developed these specific strategies through years of trial and error—each designed to capitalize on institutional order flow while minimizing emotional decision-making.
Supply and Demand Zone Identification
I start with monthly charts to identify major zones, then weekly, daily, and finally hourly as my primary timeframe. Crucially, I treat supply and demand as bands—not single prices. For example, if Tesla bounced multiple times between 265-267, that 2-dollar zone becomes my demand area. Same for supply—if rejected between 278-280 multiple times, that’s my supply zone. I only trade when I see at least two clear rejections from the zone. This filters out noise and focuses on areas where institutional players have shown significant interest. Once identified, I wait for price to return to these zones and watch for specific reactions—jine rejections at trendlines or failed breaks of consolidation ranges.
Multi-Timeframe Execution Protocol
My execution follows a strict sequence: First, I analyze the pre-market range to determine potential breakout/breakdown opportunities. If pre-market is tight (1-2 points for Tesla), I prepare for a potential fake breakdown at the open followed by a move up (what I call reverse follow-through). If pre-market is wide (5-6 points), I expect continuation. Before the open, I set two plans: Plan A for long (if breakout above pre-market high) and Plan B for short (if breakdown below pre-market low). I never enter without this structure. During trading, I monitor order flow to identify liquidity pools—I’ll take partial profits at these institutional buying/selling zones. This confluence of multiple timeframes and order flow creates high-probability setups with clear risk parameters.
R-Multiple Risk Management System
My account preservation system revolves around R multiples. I define 1R as my maximum acceptable loss per trade—typically 1% of account balance or a fixed dollar amount ($700 in my current $100k account). For each trading day, I risk maximum 3R across all trades ($2,100). I divide this into three equal parts—$700 per trade—never risking more on a single idea. When I find a setup, I commit full position size immediately (no scaling in). For profits, I take 25% at 2R profit, 50% at 4R, and trail the final 25% with expanding stops targeting 8R+. This systematic approach removes emotion—my hotkeys execute entries, stops, and profit targets automatically so I don’t second-guess decisions.
Michael Martin Trading Tools
My trading environment combines traditional technical analysis with modern execution tools that allow me to implement my supply and demand trading methodology with precision. Here are the essential tools that power my strategy:
- Cobra Trading as my broker—their direct market access provides fastest execution crucial for my intraday timeframes
- DAS Trader Pro platform with custom hotkeys I’ve developed for instant position sizing and R-multiple management
- TradingView for multi-timeframe analysis (hourly, 15-min, 5-min, 1-min charts with supply/demand zones)
- Bookmap for visualizing order flow and identifying liquidity pools where I take partial profits
Common Trading Mistakes to Avoid
Through my journey mastering supply and demand trading, I’ve learned hard lessons about the psychological pitfalls that destroy trader accounts. Here are critical mistakes you must avoid:
- Trading without multiple timeframe confluence—never enter without confirmation across hourly, 5-min, and 1-min charts
- Risking too much on single trades—your max daily loss should never exceed 3R, divided across multiple opportunities
- Letting winners turn into losers—my trailing technique using lower highs prevents this catastrophic error
- Overtrading ranges—when price stays stuck between pre-market high and low, step away instead of getting chopped up
Conclusion
If there’s one thing I want you to take from my supply and demand trading journey, it’s this: Trading isn’t about predicting the market—it’s about responding with precision to what price shows you. By focusing on institutional footprints at key zones, managing risk with mathematical precision, and executing with pre-planned hotkeys, you remove emotion from trading. I’ve created a free supply and demand zone identification guide at jtrader.com/zones—download it to start implementing this methodology. The path to consistent profitability isn’t complicated, but it requires discipline most traders lack. I started my Academy in Italy to help traders develop exactly this structure, and we’ll be hosting live trading events in New York and Denver this year. What’s your biggest struggle with supply and demand trading? Share in the comments below—I read every one.