I Analyzed a “$100 Per Day” 1-Minute Trading Strategy. Here Are the 5 Most Surprising Takeaways.

Introduction: From Chart Chaos to Clarity

Every trader has faced it: a naked price chart that seems to offer no clear direction. It’s a moment of pure analysis paralysis, best captured by one trader’s candid thought: "what the fuck what can I do now buy or sell".

This sentiment comes from a video by a trader named Arsalan, who presents a 1-minute scalping strategy he claims can generate "$100 per day"—a bold promise designed to bring order to this chaos. While the strategy’s actual entry signals come from his custom, paid "Tesla" indicator—which he claims synthesizes data from 17 other indicators—I analyzed the underlying framework he shares freely. What I found were five surprisingly insightful takeaways in the system’s structure that offer valuable lessons for any trader.

100$ per day trading strategy crypto, forex, gold and stocks

1. Takeaway 1: It Starts by Changing the Candles Themselves

The first step in this strategy isn't to add a complex indicator; it's to change the chart type itself. The system requires switching from standard candlestick charts to Heikin Ashi candles.

The stated purpose for this change is to "clear some noise" and make the chart "more cleaner and more predictable." This is a deliberate trade-off. Heikin Ashi candles average the price data, making trends visually smoother at the cost of obscuring the true open, high, low, and close prices. For a high-frequency scalping system, this suggests the strategy prioritizes momentum continuation over precise price-action entry points.

2. Takeaway 2: The Core Rule is a Deceptively Simple Filter

With the chart view simplified, the strategy introduces its primary filter: a single Hull Moving Average (HMA). The selection of a Hull Moving Average (HMA) over a Simple or Exponential Moving Average (SMA/EMA) is telling. The HMA is designed to be more responsive to recent price changes while still maintaining smoothness, making it a logical choice for a filter in a fast-paced, 1-minute scalping system where reducing lag is critical.

The core rule is a simple filter for the paid indicator's signals:

• Above the HMA line: Only "buy" signals from the primary indicator are considered valid.
• Below the HMA line: Only "sell" signals from the primary indicator are considered valid.

The power of this rule is its simplicity. It acts as a non-negotiable, binary filter that eliminates a huge portion of emotional or discretionary decision-making. Before even considering a signal, a trader knows instantly whether they should be looking for a long or short opportunity.

3. Takeaway 3: The "Secret" Is a Higher Timeframe Overlay

Here is the most counter-intuitive and technically interesting detail of the system. While the trading and execution happen on a fast 1-minute chart, the HMA indicator itself is configured with a length of 55 and, crucially, its timeframe is set to 15 minutes.

In practice, this means the trader is overlaying a 15-minute trend indicator onto their 1-minute chart. This is a practical application of multi-timeframe analysis. The goal is to ensure that rapid scalp trades are only taken in the direction of the broader, more stable trend identified on a higher timeframe. It’s a built-in mechanism designed to prevent traders from "fighting the tape" and getting caught on the wrong side of the market's dominant momentum.

4. Takeaway 4: It Claims Universal Application, From Crypto to Stocks

The presenter asserts the strategy's universal applicability, claiming it works on any instrument on TradingView. He specifically lists major cryptocurrencies like BTC and Dogecoin, popular forex pairs such as EUR/USD, commodities including Gold (XAU/USD) and Oil, and even high-volume individual stocks like Tesla and Google. This assertion implies a belief that market behavior and price patterns are fractal—that the same underlying principles of trend and momentum apply across different asset classes.

5. Takeaway 5: Profitability Is Defined by Risk Management, Not a 100% Win Rate

Perhaps the most important takeaway is the transparent discussion of losses. The presenter is explicit that the strategy is not perfect and will produce losing trades, stating plainly that there is "no 100% win rate".

Instead of chasing perfection, the system's profitability is built on a foundation of sound risk management. The proposed method involves setting a stop-loss (for example, "below the lowest low" for a buy trade) and targeting a risk-to-reward ratio of 2 or 3. This means for every dollar risked, the potential profit target is two or three dollars.

The presenter’s own trading history is offered as a candid example of this principle in action:

"I made $20,000 in one trade but I lost a lot also $4,000 $12 $7 $11,000 I lost yesterday"

This level of candor, especially from a presenter aiming to establish a new audience in the English-speaking market, is a deliberate strategy to build trust by demonstrating he is a genuine trader who understands and experiences the realities of loss. It’s the most crucial lesson of all: sustainable trading is not about avoiding losses; it's a mathematical game of ensuring that your winning trades are significantly larger than your losing trades over time.

Tesla Trading Bot Strategy Settings and Indicators

Conclusion: The Power of a Simple System

Analyzing this strategy reveals a compelling theme. The real value isn't necessarily in the proprietary "buy/sell" indicator or a specific dollar target, but in the simple, robust, and rules-based framework that supports it. By clarifying the chart, defining the trend direction, aligning timeframes, and implementing strict risk management, a trader can build a system that replaces chaos with clarity.

It leaves us with a final, thought-provoking question: Could the path to better trading lie not in finding a perfect, complex system, but in the disciplined execution of a simple one?