"Isn't good forecasting coherent with good trading?" The honest answer is no. Trading — and making money from trading — is a far different ball game from merely forecasting. Even if someone could exactly predict the highs and lows of the next intermediate move over the coming week, I could not guarantee they would make money.

The Elliott Wave Principle is the only technical-analysis technique that offers a genuine long-term perspective — which contradicts the common belief that Technical Analysis works only in the short term. Most other tools are limited. Classical patterns such as the head & shoulders, rectangle or flag work only until their targets are met; after that they say nothing about the next move. Momentum indicators like RSI and MACD are price-following — they measure how overbought or oversold a market is, but they cannot forecast. With Elliott Wave, once you know where you stand in the pattern, you can map the possible moves ahead. And because the pattern is fractal in nature, the same logic applies from a one-minute chart to a one-decade view.

I was a strong propagator of this theory and used it in my trading for more than seven years. The curious part: the amount I relied on it fell every year, while my trading P&L grew. Not because it became less significant, but because I accepted its limitations — sticking to a few important rules and combining it with other tools to find better setups. What I want to focus on here is how the Elliott Wave Principle, used wrongly, can hamper your trading.

It Was Never a "Trading Technique" in the First Place

When R. N. Elliott discovered this theory in the 1930s, he was simply describing how market prices unfold in a specific pattern. He never said "buy here" or "sell there". It was an explanation of how the repetitive behaviour of market participants causes prices to trace similar patterns across time frames. A simple reading of impulse and corrective moves can reveal the larger direction of the market. Only later did people start using the theory as a trading methodology.

The "Alternate Wave Count" Gimmick

Elliott was smart. He devised a theory that is always "right", no matter where the market eventually goes. On any stock or index there are at least two — and often seven to ten — valid wave counts. So there is always at least one bullish alternate and one bearish alternate. Pick the bullish count, buy, and watch the market fall, and you lose money — but has the theory been wrong? Not at all; it had clearly flagged an alternate bearish count. Combine all the counts and some say up, some say down, some say sideways. Wonderful information: the market may go up, down, or sideways!

"The 5th Wave Is Near Completion"

Show a newcomer a chart with a rally and, invariably, they will try to fit five waves into it and announce: "We are completing the 5th wave; a correction should begin now." The 2009–2010 rally in the Sensex was a classic trap for exactly this reflex.

Even a Textbook Impulse Can Be Fully Retraced

In theory, after a clean impulse down, the corrective bounce should not exceed the start of that impulse before a new low arrives. Yet there are countless examples of impulsive moves, up and down, being fully retraced without ever completing the pattern. In 2008, freshly introduced to the theory, I read that Robert Prechter — who introduced most of us to Elliott Wave — expected the Dow Jones to fall toward 500 while it traded in the 7,000–8,000 range. I am grateful to him for teaching us this beautiful theory, but with respect, the market went on to more than double from its 2009 lows. Of course, the theory keeps provisions — the irregular B, the expanded flat — that justify such moves after they happen. As I said: the theory is always right, irrespective of where the market goes.

The Danger of Bias

Holding a bias toward one wave count is the most fatal thing you can do while trading with Elliott Wave, especially on reversal trades — if the market shoots the other way, you can miss the entire next move. Stay flexible and lean on other tools to gauge direction. Remember, too, that a five-wave move can later be recounted as a three-wave move. The crux of the theory is deciding whether a move is a five-wave impulse or a three-wave correction — yet the very same move, once marked as an impulse, can be re-marked as a correction just to make a count work. Bias makes you count whatever confirms your view.

So Should You Use It?

Despite its drawbacks, Elliott Wave remains one of the best techniques for reading market structure and direction. If you intend to trade with it, accept the limitations: find your setups in combination with tools like RSI and Fibonacci. If you are purely in it for research and enjoy putting wave counts on charts, play away. But if you want to make money with the theory, know this — you cannot use it alone.

This article is part of the WavesResearch technical-analysis archive and does not constitute trading advice.

The entry hurdle into the business of trading and investing is among the lowest of any business. You can open a demat account in a couple of days and you are all set. Short-term gains give a sense of instant gratification and the feeling that money can be made fast. But the key to lasting in this game is discipline and risk management.

Two simple ratios decide whether you make or lose money in the markets:

• Success ratio — how often you are right.
• Risk-reward ratio — how much you gain when right versus how much you lose when wrong.

Poor traders fixate on the first. They hunt for a study that maximises the success ratio while neglecting the risk-reward equation entirely.

A Simple Example

Imagine 100 trades, booking profit at +200 and cutting losses at -100 — a risk-reward of 1:2. An expert with a 70% success ratio makes 200 seventy times (14,000) and loses 100 thirty times (3,000): net profit 11,000. Now take someone with coin-toss odds: 50 wins of 200 (10,000) and 50 losses of 100 (5,000) — still a net profit of 5,000.

The point is striking: even being right only half the time, you can be net profitable. The reason is the risk-reward setup — you lose only half of what you gain when right. In this scenario you break even at a success ratio of just 33.33%. Only below that do you start losing money.

In real life, most losing traders do the exact opposite. They book profit at +100, afraid of giving it back, then lose 200 on a bad trade, holding on in hope it returns. With that behaviour, even a 66.66% success ratio only reaches break-even.

Most mechanical trend-following systems have a success ratio below 50% — but they keep losing trades small, to be more than paid for by the occasional big winner.

It Comes Down to Emotion

Emotion is at the heart of this. As humans we want to win and cannot accept being wrong. Traders take losing trades personally, attach to them, and begin to doubt their methods. But we are forecasting the future, which is only a probability — some trades will go wrong. No methodology delivers a 100% hit ratio. Survival comes from risk management and a method with risk-reward in your favour.

Traders fear that profits will vanish, so they cut winners fast. They hope a loser will come back, so they hold it. To succeed, simply reverse these two emotions: fear that a loss can become a far bigger loss — and cut it early — and hope that a profit can become a far bigger profit — and let it run.

This article is part of the WavesResearch market-insights archive and is for educational purposes only — not investment advice.

You have just finished your trading course. Here are nine things worth keeping in mind on day one in the live markets.

1. Trade setups, not markets. You don't trade stocks, commodities or currencies — you trade setups. Many traders fixate on a stock they lost money in and try to win it back from the same name. Keep ego aside; opportunities float across the markets every day. Build a few setups that suit you and follow them religiously. Do not trade randomly.
2. Capital is king. "Sar salaamat toh pagdi pachaas." If your trading capital is intact, there is always tomorrow. The simplest protection is to fix a percentage-of-capital stop for every trade.
3. Mind your time frame. Whatever time frame you trade, always confirm the trend on the time frame one degree higher.
4. Have an exit strategy. If you do not have one, stop trading altogether. Entering a trade is the easiest thing in the world — you could flip a coin. What separates a good trader from a bad one is the exit.
5. Risk management is widely misunderstood. It is not merely placing a stop-loss. It is the statistical understanding of how your success ratio relates to your risk-reward ratio across all trades. Track three numbers to know why your P&L looks the way it does: average profit per winning trade, average loss per losing trade, and success ratio.
6. Good execution comes from a clear plan. You research for hours over the weekend and finally pick next week's stock on the daily chart. Then one jerk on the 15-minute or hourly chart makes you panic and exit — only to watch the stock move your way days later. Good execution happens only when, at entry, you already know exactly where you will exit or book profit. However good the research, execution in live markets is what separates a trader from a research analyst.
7. Train your mind. Your attitude, frame of mind — even your breathing and your thoughts — affect your P&L more than you think. A run of bad trades dents confidence and breeds self-doubt. Self-belief and a positive attitude, paired with sound strategies and risk management, take you a long way.
8. Build at least one trend-following system. If you intend to trade full time, you need at least one trend-following system to keep you in the market objectively — whichever way it moves, regardless of your personal view. It is the basis of consistent, stress-free, long-term capital appreciation.
9. Keep yearly, monthly and weekly targets. A trader without considered targets is a gambler in a casino chasing the thrill. Set long-term goals and work backwards to weekly and daily targets to plan your risk and your trades.

And a blunt closing thought: if active trading cannot earn you meaningfully more than a simple index fund or fixed deposit would, the stress and risk may simply not be worth your time.

This article is part of the WavesResearch educational archive and does not constitute trading advice.

During the active years, WavesResearch ran a structured technical-analysis training programme. It is preserved here as part of the archive — a snapshot of the topics, and the order in which they were taught, for anyone curious about how the discipline was approached. The programme is no longer offered; current educational work continues at GreyBoxQuant.

Foundations

The beginner track started from first principles — what Technical Analysis is, and how it differs from Fundamental Analysis — before working through the building blocks:

• Introduction to Technical Analysis; fundamental vs. technical
• Types of charts and scales (arithmetic and semi-log)
• Dow Theory — trend structure and its three phases
• Candlestick patterns
• Trendlines and channels
• Moving averages — simple, weighted and exponential
• Price patterns — rectangles, head & shoulders, double tops and bottoms, triangles, flags, wedges and gaps
• Indicators — ROC, RSI, MACD and ATR
• Fibonacci retracements and projections
• An introduction to the Elliott Wave Principle

Going Deeper

The advanced track built on the foundations with the tools that took longer to master:

• The Elliott Wave Principle in detail — extensions, fifth-wave truncation, alternation, wave equality, channelling and diagonals
• Corrective structures — zig-zags, flats, triangles and combinations
• Ratio analysis for finding price targets
• Confirming wave counts with RSI, Fibonacci and other indicators
• Inter-market analysis
• Applying wave counts across stocks, commodities and currencies
• Risk management and position sizing

The Thread Running Through It

Whatever the topic, the emphasis was always the same: technique is only half the job. Reading a chart well is one skill; making money from that reading — through discipline, exits and risk management — is another entirely. That conviction is what eventually pushed the work from Discretionary Analysis toward Systematic, Quantitative methods.

This article is part of the WavesResearch educational archive. For current work in Systematic Trading and Quant Education, visit GreyBoxQuant.