Mastering Stop Losses: How Not to Trigger Them at the Worst TimeThere are few things more humiliating in trading than setting a stop loss… only to have the market tag it by a hair’s breadth before rocketing in the direction you knew it was going to go.
Oftentimes (hopefully not too often), stop losses are the financial equivalent of slipping on a banana peel you placed yourself.
But stop losses aren't the enemy. Their placement, however, could be.
If you’ve ever rage-quit your chart after being wicked out by a fakeout, this one’s for you. Let’s talk about how to master stop losses — without feeling like the market is personally out to get you.
😬 The Necessary Evil: Why Stop Losses Exist
First, let's acknowledge the elephant in the room: stop losses sometimes sting. They're like smoke alarms. Annoying when they chirp over burnt toast, lifesaving when there’s an actual fire.
The purpose of a stop loss isn’t to predict exactly when you’re wrong — it’s to limit how wrong you can be. It's the difference between losing a quick battle and losing the whole war.
Trading without a stop loss is like walking a tightrope without a net — all fine until it’s not.
🤔 The Amateur Mistake: "Where Should I Put My Stop?"
A lot of traders approach stop-loss placement like they're picking lottery numbers: random, emotional, hopeful.
"I’ll just slap it 10 pips below my entry. Seems safe."
But the market doesn’t care about your preferred round numbers. It cares about liquidity, volatility, and structure, regardless if it's the forex market , the crypto space , or the biggest stock gainers out there.
Good stop-loss placement is about logic, not luck. It's about asking:
Where is my trade idea invalidated?
Where does the market prove me wrong?
If you're placing stops based on how much you're "willing to lose" rather than where your setup breaks down, you’re setting yourself up to be triggered — emotionally and financially.
💪 The Art of "Strategic Suffering"
Good stops hurt a little when they’re hit. That’s how you know they were placed properly.
Stops shouldn't be so tight they get hit on routine noise, but they also shouldn't be so far away that you need therapy if it fails. Think of it as strategic suffering: you’re accepting controlled pain now to avoid catastrophic pain later.
Legendary trader Paul Tudor Jones famously said: “The most important rule of trading is to play great defense, not great offense.”
🤓 Where Smart Traders Place Their Stops
Want to know where smart money hides their stops? It's not random. It’s calculated.
Below key swing lows for long trades (how much below depends on the risk-reward ratio they’ve chosen to pursue)
Above key swing highs for shorts (how much above is, again, tied to the risk-reward ratio)
Outside of obvious support/resistance zones (also, risk-reward plays a role)
In other words: start thinking like the market. Where would a big player have to exit because the structure is truly broken? That’s where you want your stop.
👀 Avoiding the Stop-Hunter’s Trap
Is stop-hunting real? Oh yes. And no, it’s not personal. You're just very readable if you park your stops in obvious, lazy places.
The market loves liquidity. Price often pokes below swing lows or above highs because that’s where the money is. Stops create liquidity pockets that big players exploit to enter their trades at better prices.
So how do you avoid becoming easy prey?
Give stops a little breathing room past obvious levels.
Use volatility measures like ATR to set dynamic buffers.
Respect structure, not just random dollar/pip amounts.
A good stop is hidden in plain sight but protected by logic, not hope.
⚖️ Sizing Smarter: Risk per Trade Matters More Than Stop Distance (What’s Risk-Reward Ratio?)
Here’s where many traders mess up: they think tighter stops are always better. Wrong. Your stop distance and your position size are a package deal. If your trade idea requires a wider stop to be valid, your position size should shrink accordingly.
Trying to cram your usual size into a wide stop setup is how small losses turn into account-threatening disasters.
Hedge fund pioneer George Soros once said: “It’s not whether you’re right or wrong that's important, but how much you make when you're right and how much you lose when you're wrong.”
Master your sizing relative to your stop, and you master your survival. In other words, the risk-reward ratio should be playing a key role in placing your stop losses.
🥤 Mental Stops vs Hard Stops: Pick Your Poison
Some traders swear by mental stops: “I'll get out when it hits this level.” Others use hard stops: set-and-forget protective orders baked into the system.
Both have pros and cons:
Mental stops allow flexibility but risk emotional sabotage.
Hard stops guarantee protection but can trigger on sudden, hollow wicks.
Pro tip? Use hard stops if you’re new or undisciplined. You don’t want to be the guy saying “I’ll close it soon...” while watching your unrealized loss grow a second head.
🤯 Stop-Loss Psychology: It’s You, Not the Market
If you find yourself constantly blaming “stop-hunting whales” or “market manipulation” every time you get tagged out... maybe it’s not them. Maybe it's your stop placement.
Discipline in trading isn’t just about clicking buttons at the right time. It’s about planning for the tough times—and sticking to your plan even when it feels bad.
❤️ Final Thought: Love Your Stops (Or at Least Respect Them)
Stop losses aren't your enemy. They're your overprotective friends. Sometimes they’ll throw you out of a trade you "knew" would come back. But more often, they’ll save you from very dangerous outcomes.
Mastering stop losses isn't about never getting stopped out. It’s about getting stopped out properly — with dignity, with minimal damage, and with your account intact.
In trading, pain is inevitable. Wipeouts are optional.
Your move: How do you manage your stops — and have you ever been wicked out so badly you considered quitting trading? Drop your best (or worst) stop-loss stories below.
Community ideas
Ultimate Guide to Master ICT KillzonesWhy Timing Matters Just as Much as Price
Smart Money Concepts (SMC) and ICT methodologies are built on the idea that markets are manipulated by large players with precision. While most traders obsess over price levels, entry models, and liquidity zones, many fail to realize that none of those matter if they happen at the wrong time. Time is not an afterthought, it's a core part of the edge.
Price can show you where the move might happen, but time shows you when smart money is most likely to act. That window of action is what ICT calls the killzone.
What Are Killzones?
Killzones are specific time periods in the trading day when smart money typically executes large moves. These sessions have predictable volatility and institutional order flow. They are not just random hours, they coincide with major session opens and overlaps.
The most relevant killzones are:
London Killzone (LKO), 2 AM to 5 AM EST
New York Killzone (NYKO), 7 AM to 10 AM EST
New York Lunch/Dead Zone, 11:30 AM to 1 PM EST (low probability, often reversal traps)
Each killzone offers unique opportunities depending on how liquidity has been engineered prior. ICT-style setups are most reliable when they form within, or directly in anticipation of, these windows.
The Trap Before the Real Move
Smart money loves to trap retail traders. This trap usually happens just before or early in a killzone. For example, if price takes out a key high at 2:30 AM EST (London open), many retail traders see a breakout. But those in tune with SMC see it as a classic liquidity raid, bait before the reversal.
Once that external liquidity is taken, smart money shows its hand with displacement, a sudden, aggressive move in the opposite direction. This typically forms a clean imbalance (Fair Value Gap) or a breaker block. That’s your cue.
If the price returns to that level within the killzone, that’s the optimal entry window.
Confluence is King: Time, Liquidity, and Structure
The most reliable SMC setups happen when:
Liquidity is swept early into a killzone
Displacement confirms the real direction during the killzone
Entry happens via return to an FVG or OB created within that same session
The setup might still look right if it forms outside these windows, but without proper timing, it’s often just noise or engineered liquidity to trap impatient traders.
Real-World Example: NY Killzone Short
NY, At 8:30 AM EST, price runs above the Asian highs, sweeping liquidity
Displacement, Sharp bearish move breaks structure to the downside at 8:45 AM
Entry, Price retraces into the 5M FVG at 9:10 AM
Result, Clean reversal into a nice profit trageting liquidity, all within the NY session
Outside of this killzone structure, the same setup likely would have chopped or failed.
Common Mistakes Traders Make With Time
Chasing price outside of killzones, Setup might look good, but volume is thin and no follow-through comes
Assuming all killzones are equal, London setups are often cleaner in structure, while NY has more manipulation around news
Forcing trades in NY lunch, Midday reversals do happen, but they’re lower probability. If you're not already in a position by 11 AM EST, it's often best to wait for the next day
The Discipline Edge
Most traders overtrade not because they lack setups, but because they don’t filter based on time. By only trading when price interacts with your levels during active killzones, you immediately reduce the number of bad trades and increase your focus on meaningful opportunities.
Good setups are rare. Good setups in the right timing window are even rarer. That’s where consistency comes from.
Final Thoughts
Time is not optional. In SMC and ICT, it’s not enough to have the level, you need the timing. Killzones are your filter, your edge, and your context for every trade.
Once you understand how time and price move together, and stop treating every moment on the chart equally, your trading will start to reflect the true flow of smart money.
Wait for time, wait for price, then strike.
___________________________________
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If you found this guide helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈
How to Regain Your Trading MOJOEvery trader, no matter how experienced, eventually hits a rough patch — a period where trades don’t work out, motivation fades, and confidence slips away.
If you feel like you've lost your trading mojo, you're not alone. The key is not to quit but to rebuild it methodically.
Here’s how to get your trading energy back on track:
1. Accept That Slumps Are Normal
First, realize that losing your mojo is part of the trading journey.
Even the best traders experience drawdowns — emotionally and financially.
Acknowledging that this phase is temporary immediately removes some of the pressure and guilt.
Self-acceptance is your first weapon.
2. Reduce Risk and Slow Down
When your confidence is low, lower your position size.
Trade smaller. Risk less.
You don’t need to stop trading completely — you need to stop damaging yourself further.
Think of it as “active recovery,” much like athletes training lightly after an injury.
3. Go Back to Basics
Strip your trading plan down to the essentials:
- Focus on one setup you trust.
- Use clear entry and exit rules.
- Avoid complicated strategies or "revenge trading."
Simplicity restores clarity, and clarity brings confidence.
4. Reframe Losses Mentally
Instead of seeing losses as failures, view them as fees for learning.
Ask yourself after each trade:
- "Was this trade according to my plan?"
- "Did I respect my stop loss?"
If yes, you are winning — even if the trade loses money.
Consistency in good decision-making rebuilds emotional momentum.
5. Visualize the Trader You Want to Be
Take 5 minutes each day to visualize yourself executing perfect trades:
- Calmly analyzing.
- Patiently waiting.
- Executing your plan without emotion.
Your brain needs new emotional associations with trading — not fear and anxiety, but calm and focus.
6. Set Tiny Wins
Don't chase the big win right away.
Set micro-goals like:
- "I will follow my stop loss rules today."
- "I will not overtrade today."
- "I will wait for my setup."
Achieving small wins daily rebuilds your trader identity brick by brick.
Final Thoughts :
Regaining your trading mojo is less about finding a "magic moment" and more about stacking good habits and resetting your mind.
You don't need a new system, a new market, or a lucky break.
You need to reconnect with the disciplined, focused trader within you.
Stay patient, stay structured, and remember — your mojo isn’t lost forever. It’s just waiting for you to catch up. 🚀
Crypto Phases Explained: From Bitcoin Season to Full-On FOMO !Hello Traders 🐺
I hope you're doing well. In this idea, I want to dive into the different phases of the crypto market, because I feel like many new traders — and even some semi-pros — still don’t fully grasp this fundamental concept. So make sure to read this until the end and feel free to ask your questions in the comments below!
🔹 PHASE 1 – Bitcoin Season
This is where it all begins.
You can guess from the name: BTC starts outperforming almost every altcoin, especially ETH. In this phase, Bitcoin’s price often grows rapidly while most alts lag behind. As BTC's market cap rises, Bitcoin Dominance (BTC.D) also increases — and this is clearly visible on the chart.
In the current market, BTC.D is rising toward a key resistance level, suggesting we are still in late Phase 1, but possibly approaching a shift.
🔹 PHASE 2 – Ethereum Season
Why ETH and not the rest of the altcoins?
Because when smart money rotates out of BTC, the first stop is usually Ethereum, the second-largest asset by market cap. ETH is also the backbone of many other projects, so it makes sense that it leads the altcoin wave.
When ETH starts to outperform BTC, that’s your sign: Phase 2 has begun.
🔹 PHASES 3 & 4 – Altcoin Season
This is the fun part. 🤑
In Phase 3, we typically see larger cap altcoins (top 100 projects) begin to surge and hit new all-time highs. Then comes Phase 4, the final leg of the bull cycle — full-on FOMO. Even low-cap coins start doing 20x or more, and yes, many small investors suddenly feel rich.
🔎 So… how do we know what phase we’re in?
Excellent question. But a tricky one.
As mentioned, BTC.D is showing signs of weakness near a long-term resistance trendline. That could mean BTC is topping short-term, and ETH might soon start to take the lead. To confirm that, just watch the ETH/BTC chart closely.
For deeper confirmation, add these charts to your watchlist:
OTHERS/BTC
TOTAL2
TOTAL3
They help you see when capital starts flowing into mid and low-cap alts — and help you track the sunrise… and the sunset. 🌅
Final Note:
If you’re still confused during market volatility, don’t worry. Trading is a long and tough journey — and patience is key. Learn from your mistakes, stay disciplined, and always remember:
🐺 Discipline is rarely enjoyable, but almost always profitable. 🐺
Stay sharp,
🐺 KIU_COIN 🐺
Your ULTIMATE Guide For Time Frames in Gold, Forex Trading
If you just started trading, you are probably wondering what time frames to trade. In the today's post, I will reveal the difference between mainstream time frames like daily, 4h, 1h, 15m.
Firstly, you should know that the selection of a time frame primarily depends on your goals in trading. If you are interested in swing trading strategies, of course, you should concentrate on higher time frames analysis while for scalping the main focus should be on lower time frames.
Daily time frame shows a bigger picture.
It can be applied for the analysis of a price action for the last weeks, months, and even years.
It reveals the historical key levels that can be relevant for swing traders, day traders and scalpers.
The patterns that are formed on a daily time frame may predict long-term movements.
In the picture above, you can see how the daily time frame can show the price action for the last years, months and weeks.
In contrast, hourly time frame reflects intra week & intraday perspectives.
The patterns and key levels that are spotted there, will be important for day traders and scalpers.
The setups that are spotted on an hourly time frame, will be useful for predicting the intraday moves and occasionally the moves within a trading week.
Take a look at the 2 charts above, the hourly time frame perfectly shows the market moves within a week and within a single day.
4H time frame is somewhere in between. For both swing trader and day trader, it may provide some useful confirmations.
4H t.f shows intra week and week to week perspectives.
Above, you can see how nicely 4H time frame shows the price action on EURUSD within a week and for the last several weeks.
15 minutes time frame is a scalping time frame.
The setups and levels that are spotted there can be used to predict the market moves within hours or within a trading session.
Check the charts above: 15 minutes time frame shows both the price action within a London session and the price action for the last couple of hours.
It is also critical to mention, that lower is the time frame, lower is the accuracy of the patterns and lower is the strength of key levels that are identified there. It makes higher time frame analysis more simple and reliable.
The thing is that higher is the time frame, more important it is for the market participants.
While lower time frames can help to predict short term moves, higher time frames are aimed for predicting long-term trends.
❤️Please, support my work with like, thank you!❤️
I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
How to Place Different Types of Futures Orders on TradingViewThis tutorial video walks you through how to place basic futures orders on tradingview including market, limit, and stop orders.
We also discuss bracket orders, modifying orders, and cancelling orders, as well time of order effect.
There is a substantial risk of loss in futures trading. Past performance is not indicative of future results. Please trade only with risk capital.
What Is Dollar-Cost Averaging (DCA) in Investing and Trading?What Is Dollar-Cost Averaging (DCA) in Investing and Trading?
Dollar-cost averaging (DCA) is a popular strategy used by investors and traders to manage market fluctuations and build positions over time. Instead of trying to time the market, DCA focuses on consistent, regular investments regardless of price movements. This article answers “What is DCA?”, its advantages and limitations, and how it can be applied in both investing and trading.
What Is Dollar-Cost Averaging (DCA)?
So what is DCA investing? Dollar-cost averaging (DCA) is a strategy that involves consistently investing a fixed sum at regular intervals, regardless of the asset’s current price. This approach helps distribute the cost of purchases over time, potentially reducing the impact of short-term price fluctuations. Instead of trying to time the market perfectly—a challenging task even for experienced traders—a dollar-cost averaging strategy focuses on regular contributions to average the cost of assets.
This method offers a straightforward, disciplined strategy for both long-term investors and traders who wish to build or adjust positions gradually. By spreading out purchases, a DCA strategy may help mitigate the effects of market volatility. For example, during a period of market decline, the fixed investment buys more units at a lower cost, which could result in higher returns when prices recover. Conversely, during a sustained rise, the investor buys fewer units, which helps avoid overexposure. For example, if you invest $50 every week and the market is rising, you will buy fewer stocks, but when the market is moving down, you will buy more with the same amount.
What does DCA mean for market participants? DCA is particularly useful in uncertain economic environments where price swings are common. It provides a systematic approach to entering the market, removing the need to make snap decisions based on short-term market movements, and fostering a steady accumulation of assets over time.
How Does DCA Work?
DCA investing operates by establishing a regular schedule for investing a set amount of money into a chosen asset, regardless of its current market price. Instead of waiting for a particular price or market condition, funds are allocated at consistent intervals—be it weekly, monthly, or quarterly. Over time, this means buying more units when prices are lower and fewer units when prices are higher, resulting in an average purchase price that can be lower than if the investment was made in one lump sum.
Consider an investor using DCA. They commit £100 every month to buy company shares. In the first month, the share price is £20, so they purchase 5 shares. The next month, the price drops to £10, allowing them to buy 10 shares with the same £100. In the third month, the price rises to £25, and they purchase 4 shares.
Over three months, the investor has spent £300 and acquired 19 shares in total. To calculate the average cost per share, divide £300 by 19, which equals approximately £15.79 per share. This average is lower than the highest price paid and reflects the effect of buying more shares when prices are low and fewer when prices are high.
DCA also simplifies the process of entering the market. By adhering to a set timetable, investors bypass the need for constant market analysis, making it particularly appealing for those who prefer a more hands-off strategy. This systematic approach can be applied not only to traditional investments like shares and funds but also to other assets that traders and investors engage with.
DCA in Trading
DCA isn't just for long-term investors; traders can also employ it to navigate the ups and downs of fast-moving markets. By spreading out their entries or exits, traders may potentially lower the average cost of a position or build on a winning trend, all while managing their exposure to volatile moves.
Lowering the Average Price
For traders facing a position that's moving against them, DCA offers a way to adjust the average entry cost. By allocating additional funds, the average price of the position may be reduced. This approach can create a potential opportunity to exit with better returns if the market reverses. However, it is important to note that this method also increases exposure, and additional entities might compound losses if the trend continues.
Adding to a Winner
Conversely, traders may apply DCA to increase their positions when an asset shows strength. By gradually adding to an effective trade, the overall exposure is built in a controlled manner, potentially capturing further movement without committing all capital at once. This method is particularly popular in markets where momentum builds slowly, allowing traders to gradually take advantage of the sustained trend.
Applications Across Markets
Using DCA in stocks can help manage entries during periods of volatility, especially when market sentiment shifts rapidly. Forex traders often use similar techniques to adjust positions in response to fluctuating currency pairs, while the high volatility seen in crypto* markets makes DCA an appealing strategy for building positions gradually.
When using DCA in trading, a disciplined approach is essential. Whether lowering the average cost in a losing position or building on an effective trade, traders should carefully consider the additional risk that comes with increased exposure.
Advantages of Dollar-Cost Averaging
Dollar-cost averaging offers a range of advantages that make it an attractive strategy for both investors and traders, especially when navigating uncertain markets.
Mitigating Market Volatility
By investing a fixed amount at regular intervals, DCA spreads out exposure over time. This approach can reduce the impact of sudden market swings. Instead of being affected by a one-off high price, the average cost is spread across different market conditions. This may help stabilise entry points and smooth out short-term volatility.
Disciplined Investment Approach
DCA promotes a structured investment routine. With regular contributions, there is less temptation to try timing the market. This disciplined approach might be particularly useful when markets are highly volatile or ahead of news and economic events. It encourages systematic investing, reducing the likelihood of making impulsive decisions driven by market noise.
Accessibility for All Traders
DCA does not require intricate market analysis or deep expertise in market timing. Its straightforward nature makes it appealing to both newcomers and seasoned traders looking for a simpler method to build positions over time. By providing a clear framework, DCA allows traders to focus on long-term goals without the pressure of constant market monitoring.
Limitations of Dollar-Cost Averaging
While dollar-cost averaging offers a structured approach to investing and trading, there are some limitations to consider.
Potential Opportunity Cost
Spreading out investments means funds are gradually deployed over time. In a market that is consistent, waiting to invest might lead to missed returns compared to committing all funds upfront. This method can reduce the impact of volatility but might underperform during extended trends.
Continued Exposure to Market Trends
Investors remain exposed to the market throughout the investment period. If the market experiences a prolonged trend, regular investments will accumulate at better prices, but overall returns may still suffer. This approach does not eliminate market risk and requires a long-term perspective to potentially see a turnaround.
Dependence on Consistency
The effectiveness of dollar-cost averaging relies heavily on maintaining a consistent investment schedule. Any interruption or inconsistency can dilute the intended advantages of the strategy. It also assumes that investors are able to commit regular funds, which may not be feasible in all financial situations.
Comparing DCA to Lump-Sum Investing
Comparing DCA to lump-sum investing offers insights into different approaches to managing market exposure and returns.
Risk Exposure
Lump-sum investing involves placing all available funds into an asset at once. This method can yield higher returns if the market moves in their favour, but it also exposes the investor to immediate risk if the market moves against them. In contrast, risk is spread over time through a dollar-cost average, meaning regular investments reduce the likelihood of entering the market at a high point and potentially lowering the overall average cost.
Market Conditions
The performance of each approach can vary depending on market trends. In steady trends, lump-sum investing may capture more returns since all funds are deployed early. However, in volatile or declining conditions, DCA could mitigate the effects of short-term fluctuations by smoothing out entry prices over time.
Flexibility and Commitment
Lump-sum investing requires confidence and a readiness to commit all funds immediately. DCA, on the other hand, offers a more measured entry into the market. This method is popular among those who prefer a systematic approach and might not have a large sum available at one time.
The Bottom Line
Understanding the dollar-cost averaging definition can help investors and traders potentially manage market volatility and reduce emotional decision-making. While it has its limitations, DCA can be an effective strategy for building positions over time.
FAQ
What Is an Example of Dollar-Cost Averaging?
Imagine investing £100 into a stock every month, regardless of its price. In January, the stock costs £20, so you buy five shares. In February, the price drops to £10, allowing you to buy 10 shares. In March, the price rises to £25, and you buy four shares. Over three months, you’ve invested £300 and purchased 19 shares, averaging out your cost per share to £15.79.
Is There the Best Dollar-Cost Averaging Strategy?
The most effective DCA strategy depends on individual goals. A consistent, long-term approach with regular investments—whether weekly or monthly—may help smooth out market volatility. Focusing on diversified assets could also reduce risk exposure.
What Is the Daily DCA Strategy?
This strategy involves investing a fixed amount every day through DCA, meaning it may help minimise the impact of short-term price fluctuations in volatile markets. However, it requires careful planning due to frequent transactions and potential fees.
Does Dollar-Cost Averaging Work With Stocks?
Yes, DCA is commonly used with stocks. It may help manage the effects of market volatility, allowing investors to build positions over time without worrying about short-term price swings.
What Does DCA Mean in Stocks?
DCA, or dollar-cost averaging, in stocks, means regularly investing a fixed amount, regardless of price, to average out the cost per share over time and manage market volatility. A similar answer is true for “What does DCA mean in crypto*?”, except it would involve a regular fixed investment in a particular cryptocurrency*.
How to Calculate DCA in Crypto* Investing?
There is a simple formula to calculate DCA, meaning in crypto*, an investor would just divide the total amount invested by the total number of units purchased. This provides the average cost per unit over time, regardless of price fluctuations.
*Important: At FXOpen UK, Cryptocurrency trading via CFDs is only available to our Professional clients. They are not available for trading by Retail clients. To find out more information about how this may affect you, please get in touch with our team.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Unlock Trading Success with Multi-Timeframe MasteryIn trading, particularly in the Forex market, a well-defined strategy is crucial for consistent profitability. One of the most effective techniques used by successful traders is multi-timeframe (MTF) analysis. By examining price action across different timeframes (e.g., daily, 4-hour, 1-hour), traders gain a clearer understanding of market structure, trend direction, and optimal entry/exit points. This article explores how MTF analysis works, its benefits, and practical steps to implement it in your trading.
🔍1. Analyzing a Pair Across Multiple Timeframes for Clearer Trend Direction
The foundation of MTF analysis lies in identifying the major and minor trends. By analyzing at least two timeframes, traders can align their strategies with the broader market direction while fine-tuning entries on shorter timeframes.
⚡The High Wave Cycle (HWC) Approach
To begin, determine your High Wave Cycle (HWC), which depends on your trading strategy and timeframe. For instance:
If you trade on the daily timeframe, your HWC might be the monthly chart.
If you trade on the 1-hour timeframe, your HWC could be the weekly chart.
The HWC helps you identify the major trend. For example, on the daily chart, you might analyze the trend using Dow Theory, pinpoint key support and resistance levels, and identify trendlines or patterns. This gives you a clear picture of the market’s broader direction.
Once the HWC is defined, give it significant weight when analyzing lower timeframes for trade setups. For instance, if the daily chart (HWC) shows a downtrend, you’d prioritize bearish setups on the 1-hour chart, even if a minor uptrend appears.
Example: SOLUSDT Trade Setup
Consider a scenario where the 1-hour chart shows a strong uptrend. The price breaks a key resistance level and a descending trendline, suggesting a potential long position.
However, checking the daily chart..
(HWC) reveals a clear downtrend. According to Dow Theory, a major trend reversal requires a confirmed break above the previous high (e.g., $150). Since this hasn’t occurred, the market remains bearish.
In this case, MTF analysis guides your strategy:
Reduce position size to lower risk, as you’re trading against the major trend.
Take profits early, as the price could reverse at any moment.
Avoid overtrading by limiting the number of positions until the trend change is confirmed.
This approach ensures your trades are aligned with the bigger picture, minimizing losses from false signals.
🎯2. Spotting Entries and Exits by Confirming Trends Across Timeframes
MTF analysis not only enhances risk management but also improves the precision of your entries and exits. By confirming signals across timeframes, you can filter out noise and focus on high-probability trades.
Example: Bitcoin (May 15, 2021)
Let’s rewind to May 15, 2021, during Bitcoin’s post-bull run correction. On the daily chart (HWC), the price formed lower highs and lows, breaking a key support level, signaling a bearish trend and a potential exit for long positions. This indicates that spot traders should sell, and swing traders on lower timeframes should focus exclusively on short positions.
On the 1-hour chart, you might spot a minor pullback, tempting a long trade. However, MTF analysis reminds you to align with the daily downtrend, so you’d only consider short setups. This disciplined approach prevents you from trading against the major trend, improving your win rate.
📊The Medium Wave Cycle (MWC) for Added Clarity
Between the HWC and lower timeframes lies the Medium Wave Cycle (MWC), which provides an intermediate perspective. For example, if your HWC is the daily chart, the MWC might be the 4-hour chart. The MWC helps confirm the major trend’s strength or detect early signs of reversals before zooming into lower timeframes for entries. By checking the MWC, you can filter out noise and ensure your trades align with both the major and intermediate trends.
💡Conclusion
Multi-timeframe analysis is a game-changer for traders seeking consistency and precision. By combining the major trend from your HWC, the intermediate perspective from your MWC, and minor trends on lower timeframes, you can make informed decisions, manage risk effectively, and time your trades with confidence.
Start by defining your HWC and MWC, analyzing the major trend, and aligning your entries and exits with multiple timeframes. Pick a pair, test this strategy on a demo account, and share your results in the comments below! With practice, MTF analysis will give you a tactical edge in navigating the markets.
🤍 btw im Skeptic :) & If you found this article helpful, don’t forget to like, share, and follow for more insights and trading strategies! <3
SPY/QQQ Plan Your Trade Update : Behind The Scenes ResearchI want to say thank you to all of you and to share with you all the work/resources/servers/and other data I maintain to help me identify where and how the markets will present opportunities to all of us.
This video shows you a bit of the behind-the-scenes work I do and some of my proprietary modeling systems.
I'm not sharing this with you to try to win you over or to tell you I do more than anyone else in terms of research. I'm sure there are many others who go much further than I do in terms of trying to dissect the markets and the opportunities available.
But I do believe I deliver very unique research, which is a one-of-a-kind solution for traders.
Again, I'm not 100% accurate (I wish I were).
But I am trying to share some of the decision-making solutions I use to understand where the markets are likely to move over the next 2- 4+ months and how traders can profit from my research.
Remember, you are only seeing about 10% of my total research, tools, modeling systems, and capabilities in these Plan Your Trade videos.
I want to thank all of you who continue to value my work. It is not easy. It takes money, time, and resources to continue to monitor all of these systems/algos.
The end result, I believe, is one of the most unique future/current modeling system resources you can find anywhere.
Again, thank you for making my research a success. I promise to do more and improve my tools over the next 12+ months for everyone to find better profits.
Get some.
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Buy Fear, Not Euphoria: The Trader's EdgeWhen you look back at the greatest trading opportunities in history, they all seem to share a common element: fear. Yet, when you're in the moment, it feels almost impossible to pull the trigger. Why? Because fear paralyzes, while euphoria seduces. If you want to truly evolve as a trader, you need to master this fundamental shift: buy fear, not euphoria.
Let's break it down together.
________________________________________
What Fear and Euphoria Really Mean in Markets
In simple terms, fear shows up when prices are falling sharply, when bad news dominates the headlines, and when people around you are saying "it's all over."
Euphoria, on the other hand, is everywhere when prices are skyrocketing, when everyone on social media is celebrating, and when it feels like "this can only go higher."
In those moments:
• Fear tells you to run away.
• Euphoria tells you to throw caution to the wind.
Both emotions are signals. But they are inverted signals. When fear is extreme, value appears. When euphoria is extreme, danger hides.
________________________________________
Why Buying Fear Works
Markets are pricing machines. They constantly adjust prices based on emotions, news, and expectations. When fear hits, selling pressure often goes beyond what is rational. People dump assets for emotional reasons, not fundamental ones.
Here’s why buying fear works:
• Overreaction: Bad news usually causes exaggerated moves.
• Liquidity Vacuums: Everyone sells, no one buys, creating sharp discounts.
• Reversion to Mean: Extreme moves tend to revert once emotions stabilize.
Buying into fear is not about being reckless. It’s about recognizing that the best deals are available when others are too scared to see them.
________________________________________
Why Chasing Euphoria Fails
At the peak of euphoria, risks are often invisible to the crowd. Valuations are stretched. Expectations are unrealistic. Everyone "knows" it's going higher — which ironically means there's no one left to buy.
Chasing euphoria often leads to:
• Buying high, selling low.
• Getting trapped at tops.
• Emotional regret and revenge trading.
You’re not just buying an asset — you're buying into a mass illusion.
________________________________________
How to Train Yourself to Buy Fear
It's not enough to "know" this. In the heat of the moment, you will still feel the fear. Here's how you build the right habit:
1. Pre-plan your entries: Before panic strikes, have a plan. Know where you want to buy.
2. Focus on strong assets: Not everything that falls is worth buying. Choose assets with strong fundamentals or clear technical setups.
3. Scale in: Don’t try to catch the bottom perfectly. Build positions gradually as fear peaks.
4. Use alerts, not emotions: Set price alerts. When they trigger, act mechanically.
5. Remember past patterns: Study previous fear-driven crashes. See how they recovered over time.
Trading is a game of memory. The more you internalize past patterns, the easier it is to act when everyone else panics.
________________________________________
A Recent Example: April 2025 Tariff Panic
Very recently, at the start of April, Trump’s new tariff announcements sent shockwaves through the market. Panic took over. Headlines screamed. Social media was flooded with fear.
But if you looked beyond the noise, charts like SP500 and US30 told a different story: the drops took price right into strong support zones.
At the time, I even posted this : support zones were being tested under emotional pressure.
If you had price alerts set and reacted mechanically, not emotionally , you could have bought into that fear — and potentially benefited from the rebound that followed just days later.
This is the essence of buying fear.
________________________________________
Final Thoughts
In trading, you are paid for doing the hard things. Buying when it feels terrible. Selling when it feels amazing.
Remember:
Fear offers you discounts. Euphoria offers you traps.
The next time the market feels like it's crashing, ask yourself:
• Is this fear real, or exaggerated?
• Is this an opportunity hiding under an emotional fog?
If you can answer that with clarity, you're already ahead of 90% of traders.
Stay rational. Stay prepared. And above all: buy fear, not euphoria.
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analyses and educational articles.
The Golden Code: Unlocking the Markets with Fibonacci Sequence “Mathematics is the language in which God has written the universe.” – Galileo Galilei
If this is true, then the Fibonacci sequence is the poetry of that language, especially in trading.
📚 What is Fibonacci? Why Should Traders Care?
Fibonacci is more than just a sequence of numbers — it’s a universal law of growth and proportion. From galaxies to sunflowers, and now to the charts on your TradingView screen, Fibonacci is everywhere.
In trading, Fibonacci retracement levels are used to identify potential reversal zones, where price is likely to bounce or stall, making it one of the most powerful tools in a trader’s arsenal.
But few truly understand its depth, and fewer still use it intelligently.
Let’s dive into the power of the Fibonacci sequence, how it influences retracements, and how you can use it to your trading advantage, whether you’re a scalper, swing trader, or position trader.
🧠 The Fibonacci Sequence: Where It All Begins
The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones:
0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
Some Math somebody? Take your seats and calculators away! 😂😂
📉 Fibonacci Retracement Levels & How They're Calculated
These levels are percentages based on relationships between Fibonacci numbers.
✅ 0.236 (23.6%)
Divide a number by the one three places ahead:
Example: 13 ÷ 55 = 0.236
Another: 21 ÷ 89 = 0.236
✅ 0.382 (38.2%)
Divide a number by the one two places ahead:
Example: 21 ÷ 55 = 0.382
Another: 34 ÷ 89 = 0.382
✅ 0.500 (50.0%)
Not directly from Fibonacci, but commonly used due to psychological midpoint in markets.
✅ 0.618 (61.8%) – The Golden Ratio
Divide a number by the next number:
Example: 34 ÷ 55 = 0.618
Another: 55 ÷ 89 = 0.618
This is the famous Golden Ratio, which appears in nature, art, and financial markets.
✅ 0.786 (78.6%)
Derived from the square root of 0.618:
√0.618 = 0.786
📈 Fibonacci Extension Levels & How They're Calculated
Extensions project price targets beyond the retracement.
✅ 1.000 (100%)
A full projection of the original move.
✅ 1.272 (127.2%)
Square root of 1.618:
√1.618 = 1.272
✅ 1.618 (161.8%) – The Golden Extension
Divide a number by the previous one:
Example: 55 ÷ 34 = 1.618
Another: 89 ÷ 55 = 1.618
✅ 2.000 (200%)
A full double of the original move.
✅ 2.618 (261.8%)
1.618 + 1.000 = 2.618
This creates ratios that are found in nature, architecture, music, and, yes, price movements.
🔍 Fibonacci Retracement: Mapping Pullbacks with Precision
When price moves impulsively in one direction, it often retraces a portion of that move before continuing in the same direction.
Fibonacci retracement is used to map this pullback.
Here’s how traders use it:
Identify a clear impulsive move (either bullish or bearish).
Plot the Fibonacci retracement tool from swing low to swing high (for bullish moves), or from swing high to swing low (for bearish moves).
Watch how price reacts around key levels:
38.2% = Shallow pullback
50% = Midpoint (psychological)
61.8% = Golden Zone
78.6% = Deep retracement (but still valid)
🔥 Pro Tip: Most institutional traders love the 61.8% retracement, often placing hidden liquidity and traps around that area.
🔄 Fibonacci Extensions: Predicting Take-Profit Zones
Once price retraces and continues its trend, Fibonacci extensions help identify possible target zones:
Common extension levels:
1.272
1.618 → Golden Target
2.000
2.618
For example:
After a bullish retracement to 61.8%, price often rallies to 1.272 or 1.618 extensions, making these ideal profit-taking zones.
🔄 Real-Life Market Behavior: Fibonacci in Price Action
Let’s take a real example:
🟨 Example: XAU/USD Bearish Retracement
Impulsive rally from $2,832.99 to $2,930.77.
Price pulls back to $2,880 – exactly at the 50% Fibonacci retracement.
Followed by a strong continuation to the upside.
Price reach for the 127.20% and beyond to 161.80% Fibonacci extension of the original rally before pausing for some times — textbook Fibonacci behavior.
💡 This isn’t magic. It’s structure, order, and smart money playing on the same field.
🧬 Fibonacci + Confluence = Confirmation
Fibonacci works best when combined with other tools:
Support/Resistance
Order Blocks
Imbalances
Trendlines
Candlestick Patterns
✅ A 61.8% retracement + bullish order block + bullish engulfing = a high-probability long setup.
✅ A 78.6% retracement + unfilled imbalance = possible stop-hunt trap or liquidity grab.
🧠 Fibonacci Psychology: Why It Works
Fibonacci works because it reflects natural human behavior:
Fear and greed create overextensions and pullbacks.
Traders place stops and entries near these key ratios, causing self-fulfilling reactions.
Algorithms and institutional models often base trade entries on Fibonacci confluences.
💥 Common Mistakes Traders Make
❌ Using Fibonacci on every small swing – noise, not signal
❌ Forcing the retracement tool to “fit” your bias
❌ Ignoring higher time frame structure
❌ Using Fibonacci alone without confluence
Remember: Fibonacci is a guide, not a guarantee.
📈 How to Trade with Fibonacci (Step-by-Step)
First, identify market structure (trending or ranging).
Second, mark swing high and swing low.
Third, plot retracement tool accordingly.
Fourth, look for confluence zones:
38.2%, 50%, 61.8%...
Price action signals (e.g., pin bars, engulfing)
Institutional concepts (order blocks, imbalances)
Enter with confirmation, not just based on levels.
Set stop loss below/above structure or 78.6% line.
Target extension levels or previous high/low.
🌀 Fibonacci in Different Trading Styles
Scalpers
Use Fibonacci on 1min–5min timeframes to catch micro pullbacks and entries.
Swing Traders
Use Fib retracements from daily or 4H structure to plot entries and targets.
Position Traders
Use weekly/monthly Fibonacci zones for macro views and long-term targets.
🧠 Final Thoughts: Fibonacci Is Structure, Not Sorcery
The Fibonacci sequence is a map of order in a chaotic world. In trading, it helps bring discipline, clarity, and precision.
It’s not about being right every time, it’s about stacking probabilities in your favor.
🧭 Ready to Master Fibonacci?
If you’ve read this far, drop your thoughts in the comments and share your favorite Fibonacci setup!
Let’s build a community of traders who use mathematics and structure, not hope and guesswork.
Follow for more educational breakdowns, trading insights, and strategy walkthroughs — posted weekly.
What Is SMT Divergence, and How Can You Use It in Trading?What Is SMT Divergence, and How Can You Use It in Trading?
SMT divergence, or Smart Money Technique divergence, is a concept used by traders to analyse imbalances in correlated markets. By identifying when price movements deviate between related instruments, traders can uncover potential shifts in market momentum, often linked to institutional activity. This article explores what SMT divergence is, how SMT divergence trading works, and its practical applications.
What Is SMT Divergence?
SMT divergence, short for Smart Money Technique divergence, refers to a specific type of price discrepancy between two correlated financial instruments. Part of the Inner Circle Trader (ICT) methodology, this divergence is often interpreted as a sign of institutional or "smart money" activity, as it highlights potential inefficiencies or imbalances in the market.
Here’s how an ICT SMT divergence works: correlated instruments—like EUR/USD and GBP/USD in forex, or major stock indices like the S&P 500 and NASDAQ—typically move in the same direction under normal market conditions. SMT divergence occurs when one instrument makes a higher high or lower low, while the other fails to follow suit. This inconsistency suggests that buying or selling pressure may be uneven across these markets, often caused by larger market participants adjusting their positions.
For example, if EUR/USD forms a new high, while GBP/USD lags behind and fails to break its previous high. This divergence could indicate waning momentum in one pair, hinting at a potential reversal or shift in the overall market structure. Traders analysing SMT divergence often see these moments as key opportunities to assess whether institutional players might be involved.
To identify an SMT divergence, you can monitor two correlated assets’ charts and observe discrepancies. Also, there are SMT divergence indicators for MT4, MT5, and TradingView available online that can automate the process.
The Core Components of SMT Divergence
SMT divergence relies on three key components: correlated instruments, divergence between price movements, and the involvement of institutional players. Understanding these elements is crucial for applying this concept.
1. Correlated Instruments
At the heart of SMT divergence is the relationship between correlated markets. These are instruments that typically move in tandem due to shared economic drivers. For instance, in forex, pairs like EUR/USD and GBP/USD often exhibit similar trends because they’re influenced by the strength of the US dollar, as well as their close regional ties and trade relationships. In equities, indices like the Nasdaq 100 and S&P 500 often align because they reflect broader market sentiment and contain overlapping stocks.
2. Divergence in Price Movements
The divergence occurs when these typically correlated instruments fail to move in sync. For example, one instrument may reach a higher high, while the other stalls or even reverses. This mismatch is more than just noise—it can signal a deeper imbalance in the market, often linked to uneven supply and demand dynamics. It’s these price discrepancies that traders scrutinise to identify potential turning points.
3. Institutional Activity
One of the reasons SMT divergence is so closely watched is its potential link to smart money behaviour. Institutions often use correlated instruments to mask their actions, creating subtle imbalances that only become apparent through careful analysis. For instance, when one correlated pair lags, it might reflect deliberate accumulation or distribution by larger players.
How Traders Analyse SMT Divergence
Analysing SMT divergence helps in understanding the nuanced relationship between correlated instruments and interpreting these imbalances correctly. Unlike leading correlations—such as oil influencing the Canadian dollar—SMT divergence doesn’t rely on one asset consistently driving the other. Instead, it focuses on shifts in momentum where neither instrument is the leader, but their combined behaviour hints at potential market moves.
Identifying Divergence
Traders start by observing price action in two correlated instruments or timeframes. SMT divergence becomes apparent when one instrument forms a higher high or lower low, while the other fails to do so. For example, if EUR/USD makes a higher high, but GBP/USD stalls below its previous peak, this inconsistency could signal fading bullish momentum in the broader market. The key is that neither asset leads; instead, the divergence itself provides the signal.
Some common correlations traders use include:
- Forex Pairs:
EUR/USD and GBP/USD
USD/JPY and USD/CHF
DXY and USD/CAD
- Cryptocurrencies*:
BTC/USD and ETH/USD
- Equity Indices:
S&P 500 and NASDAQ
FTSE 100 and DAX
- Treasuries:
US 10-Year Treasury Yield and USD/JPY
- Commodities:
Brent Crude and WTI Crude Oil
Interpreting Divergence at Extremes
SMT divergence is particularly significant when it occurs at market highs or lows. When divergence appears at highs—such as one instrument making a higher high while the other fails—it often signals a potential bearish reversal in the stronger instrument. Conversely, at lows, if one makes a lower low while the other holds firm, it may indicate a potential bullish reversal in the weaker one. This imbalance highlights where momentum might shift.
Adding Context
Traders rarely rely on an SMT divergence strategy alone. They often look for supporting evidence, such as volume analysis, market structure shifts, or order flow data, to confirm the signal. For instance, divergence combined with signs of institutional selling near a high could strengthen the case for a bearish move.
SMT Divergence in Different Market Conditions
SMT divergence behaves differently depending on market conditions, offering traders insights that vary between trending and ranging environments. Its effectiveness hinges on the context in which it appears, so understanding how it adapts to different scenarios is key.
Trending Markets
In trending markets, SMT divergence often signals potential reversals or pauses in momentum. For example, in a strong uptrend, divergence at a new high (where one correlated instrument makes a higher high while the other does not) can indicate waning buying pressure. This inconsistency might suggest that institutional players are beginning to reduce their positions or shift market direction.
A similar principle applies in downtrends: divergence at a fresh low, where one instrument breaks lower while the other doesn’t, could signal that bearish momentum is losing steam. Traders often use these moments to reassess their analysis and consider the possibility of a reversal or pullback within the trend.
Ranging Markets
In a range-bound environment, SMT divergence takes on a different role. Rather than hinting at trend reversals, it often highlights potential breakouts or false moves. For instance, during a consolidation phase, if one correlated instrument makes a sharp move outside the range while the other stays contained, it may signal that the breakout is unsustainable and a reversal back into the range is likely.
Alternatively, if both instruments diverge significantly at the edges of the range, it could suggest that smart money is accumulating or distributing positions in preparation for a breakout.
Different Asset Classes
SMT divergence isn’t limited to one market type. In forex, it often reveals imbalances caused by macroeconomic drivers like central bank policies. In equities, it can signal sector rotation or institutional adjustments. Commodities, particularly oil or gold, may show divergence influenced by supply and demand dynamics.
Limitations and Common Misconceptions
While SMT divergence is a powerful tool for analysing market imbalances, it’s important to understand its limitations and avoid common misconceptions. Misinterpreting divergence can lead to flawed decisions, especially if it’s viewed in isolation or without proper context.
Limitations
- False Signals: Not all divergences indicate institutional activity or meaningful shifts in the market. Low liquidity or erratic price movements can create divergence that doesn’t hold significance.
- Context Dependency: SMT divergence requires a solid understanding of market conditions. Its reliability decreases in highly volatile or choppy environments where correlations break down temporarily.
- Not a Standalone Tool: Relying solely on SMT divergence can be risky. Traders use it alongside other forms of analysis, such as market structure or volume data.
Common Misconceptions
- Always Linked to Institutional Activity: Not every instance of SMT divergence involves smart money. Divergences can also result from retail trading activity or macroeconomic events.
- Predicting Market Direction: SMT divergence doesn’t guarantee outcomes; it highlights imbalances. Further analysis is needed to evaluate whether the market will reverse, continue, or consolidate.
- Universal Applicability: While it works across various markets, not all instruments are equally suitable for SMT divergence due to differences in liquidity or drivers.
Practical Applications of SMT Divergence
SMT divergence is a versatile analytical method that traders use to refine their strategies and deepen their understanding of market dynamics. Here’s how it’s typically applied in practice:
Identifying Market Turning Points
One of the most common uses of SMT divergence is spotting potential reversals. When divergence appears at key highs or lows, it often signals that momentum is shifting. When combined with other common trading tools, such as support and resistance, as well as ICT methodology concepts like order blocks and fair value gaps, this can be used to time entries or adjust risk exposure.
Potentially Enhancing Risk Management
SMT divergence can potentially enhance risk management by offering early warnings about changes in market conditions. If divergence aligns with other factors—such as weakening volume or significant resistance/support levels—it can serve as a signal to tighten stops or reduce position sizes, depending on the trader’s broader approach.
At the same time, it can also provide clear boundaries for setting stop losses. If a trader has confidence that a reversal in one asset is likely due to an SMT divergence, then a stop loss can be placed immediately after the maximum or minimum of the divergence.
The Bottom Line
The SMT divergence is a valuable tool for understanding market imbalances and spotting potential turning points. By combining it with other analysis methods, traders can gain deeper insights into price action.
FAQ
What Does Divergence Mean in Trading?
Divergence in trading refers to a mismatch between the price action of an asset and a technical indicator or between two correlated instruments. It often signals a potential change in trend, as the imbalance suggests a shift in market momentum.
What Is SMT in Trading?
SMT in trading stands for Smart Money Technique. SMT divergence is one of the ICT trading concepts. It focuses on identifying market imbalances that may reflect the activity of institutional traders, seen through divergence between correlated instruments.
What Does SMT Divergence Mean?
The SMT divergence meaning refers to an occasion when two correlated instruments fail to move in sync. One can make a higher high while the other does not or one can make a lower low while the other doesn’t. This indicates potential smart money involvement and signals a possible trend shift.
What Is an Example of SMT Divergence?
A common example is in forex, where EUR/USD forms a higher high, but GBP/USD does not. This divergence could suggest fading bullish momentum, signalling a possible reversal in EUR/USD.
What Is the Strongest Divergence Indicator?
While SMT divergence itself is powerful, traders often combine it with indicators like RSI or volume profiles for added confirmation. The strongest signals come from divergence paired with a broader market context.
*Important: At FXOpen UK, Cryptocurrency trading via CFDs is only available to our Professional clients. They are not available for trading by Retail clients. To find out more information about how this may affect you, please get in touch with our team.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
How to Trade Liquidity Sweeps Using PDH/PDL Levels (Smart Money This guide shows how to use the **Liquidity Sweep Detector – PDH/PDL Levels** script, now live on my profile.
**What It Does:**
- Accurately plots the previous day's high and low on intraday charts (15m, 1H)
- Detects when price *sweeps* above or below those levels (potential liquidity grabs)
- Visually marks sweeps with a dashed line and alerts you in real time
- Optional table to show current sweep status (can be toggled off)
**How I Use It:**
- Wait for a sweep above PDH or below PDL
- Look for rejection candles or structure shift afterward (e.g., CHoCH or BOS)
- Combine with session timing (e.g., London/NY) for confluence
**Pro Tip:**
Set alerts to catch sweeps even when you're away from the screen. Just click "Add Alert" and use:
- `PDH Sweep Triggered`
- `PDL Sweep Triggered`
This is part of how I approach Smart Money trading — combining market structure with real liquidity events.
Script is open and free to use — find it on my profile:
**Liquidity Sweep Detector – PDH/PDL Levels**
Three Peaks and Domed House
Identification Guidelines
Points Discussion
1, 2 This is the base. It may or may not appear and has no significance.
3, 5, 7 These points form the three peaks pattern. It’s not a triple top where price
needs to peak near the same price. The shape of the peaks may be flat or
pointed. The time between peak 3 and 7 is about 8 months.
4, 6, 8 These are valleys between peaks 3, 5, and 7. The drop to the valley floor
can be considerable (that is, the retrace of the move up from 2 to 3 can
be large).
8, 9, 10 This is the separating decline. Price drops in at least two selling waves (7 to 8
and 9 to 10). The word least suggests there can be multiple selling waves,
so be flexible. The separating decline divides the three peaks from the
domed house, making both look squarish.
10 Valley 10 is always lower than 4 or 6 and often lower than both.
11–14 Price bottoms at 10 and then recovers to form at least two valleys that test
the low at 10. The peaks and valleys here should look symmetrical, not
irregular.
14–23 or 27 The time from turn 14 to 23 should be 7 months and 8-to-10 days, but
the measure from 14 can include peak 27. In other words, be flexible
and don’t exclude a pattern because the duration is incorrect. If price
at 12 or 14 fails to test the low at 10 (or 12 or 14 are absent), then
try using valley 4 or 6 in the 7-month calculation to better predict the
domed house peak.
15 Price rises quickly and steeply to peak 15, forming the left wall of the
first story.
15–20 Look for price to form five waves here, 15–16, 16–17, and so on, ending
at 19–20. Price bounces between peaks and valleys, forming the firstfloor
roof.
20–21 This is the second story’s left wall. It’s the move up to 21 from 20.
21–25 This is the dome of the house. Price forms another set of peaks and valleys,
trying to move to a new high but failing.
25–27 Price drops from 25 and forms a wave 26–27, which may mirror the roof
from 15–20. Point 27, if tall enough, may be the right shoulder of a headand-
shoulders top formed by the move from 21–25.
27–28 Price drops all the way back to the level of point 10 (or close to it). The drop
may be a straight-line run down or it may have several retraces, but price
will eventually make it to the price of 10 (in theory).
Thomas_N_Bulkowski_Encyclopedia_of_Chart_Patterns_John_Wiley_&_Sons
Why I Hesitate on Long Wick Candles (and How I Trade Through It)In today’s live trading review, I highlight one of the key challenges I face when trading the ES:
I don’t always feel confident executing during long wick days.
So how do I deal with that? Simple: reduce risk and stick to the framework.
Watch as I walk you through this session, break down the setup, and share how you can identify and study your own trading weaknesses — so you can grow stronger, one trade at a time.
#OneCandlestickAtATime #LiveTrading #ESFutures #TradingPsychology
Candlestick Patterns + Trend and Momentum: A Perfect CombinationCandlestick patterns provide valuable insights into price action, showing potential reversals, continuations, or market indecision. However, to significantly improve their effectiveness, combining candlestick analysis with trend and momentum indicators is essential. Here’s how you can use these combinations to trade with more confidence and accuracy.
1. Why Candlestick Patterns Matter
Candlestick patterns visually represent traders’ psychology through price movements, including four key prices: Open, Close, High, and Low. Some of the most common and useful patterns include:
Doji: Indicates market indecision and potential reversals.
Hammer & Hanging Man: Signals possible trend reversals at support or resistance.
Engulfing Pattern: Often marks the beginning of a significant reversal.
Morning/Evening Star: Combination patterns that strongly suggest a trend reversal.
2. Adding Trend and Momentum Indicators
Candlestick patterns alone might lead to false signals or confusion. By pairing them with other technical tools, such as moving averages, RSI (Relative Strength Index), or MACD (Moving Average Convergence Divergence), you gain crucial context to confirm the reliability of the patterns.
Here’s how:
Trend Alignment:
Using moving averages, such as the 20 or 50-period EMA, helps confirm whether a bullish candlestick pattern appears in an uptrend (strengthening the signal) or countertrend (potentially weaker signal).
Momentum Confirmation:
Oscillators like the RSI or MACD can confirm the underlying momentum behind a candlestick pattern. For instance, a bullish engulfing pattern becomes more reliable if it coincides with RSI moving upward from oversold territory or MACD showing a bullish crossover.
Volume Analysis:
Higher volume on the candle that forms the pattern typically confirms increased market interest and strengthens the validity of the signal.
3. Practical Example: Bullish Engulfing + RSI
Imagine you spot a bullish engulfing pattern forming at a clear support level after a downtrend:
Step 1: Identify the Pattern: Confirm the bullish engulfing visually.
Step 2: Check RSI: Ensure RSI is below 30 or rising, signaling oversold conditions and potential bullish momentum.
4. Why This Approach Works
Enhanced Accuracy: Combining candlestick signals with trend and momentum indicators increases signal reliability.
Improved Risk Management: Clearer signals mean more confident entries and better-defined stop-loss levels.
Reduces False Signals: Multiple confirmations reduce the risk of false breakouts or reversals.
5. Final Tips
Always look for multiple confirmations (trend, momentum, volume) before making trade decisions based solely on candlestick patterns.
Be patient—waiting for full confirmation can help avoid premature trades.
Regularly backtest and practice recognizing these combined signals to strengthen your trading strategy.
GBP/USD – 1992 Replay | George Soros “Broke the Bank” TradeHistorical Context Summary:
This chart revisits the iconic 1992 short by George Soros against the British Pound, which ultimately forced the UK to abandon its currency peg and exit the European Exchange Rate Mechanism (ERM). The marked zones reflect the approximate levels where Soros reportedly initiated and closed his short position, anticipating a collapse of the GBP against the USD.
Real-time Trade Thesis:
Soros identified that the British economy was fundamentally too weak to sustain a fixed exchange rate against the Deutsche Mark, enforced through the ERM. Inflation was high, the economy was slowing, and the government was hiking rates and burning through reserves to defend the pound. Meanwhile, Germany’s economy was far stronger, making the GBP significantly overvalued relative to its fundamentals.
The Quantum Fund went short over £10 billion worth of GBP using highly leveraged positions, primarily via GBP/USD. On September 16, 1992 ("Black Wednesday") , the Bank of England capitulated after failing to hold the peg, and the pound collapsed—securing Soros one of the most profitable trades in history with over $1 billion in gains.
Technical Analysis Context:
This GBP/USD chart highlights the upper “order activation” zone where Soros began scaling into his short, as price stalled near the artificially defended level. As speculative pressure intensified, the central bank’s interventions failed, leading to a violent breakdown. The lower box marks the approximate range where Soros likely began closing the trade and locking in profit as the peg failed and panic selling set in.
Key Lessons:
Pegged currencies can’t defy economic fundamentals forever.
Macro conviction + tactical timing = asymmetric return.
Central banks can lose to coordinated market pressure.
Use leverage wisely, only when your thesis is airtight.
Liquidity stress often precedes capitulation—watch reserve flows and bond yields.
History leaves patterns—legendary trades repeat in new forms across cycles.
From Scanner to Trade: Full Workflow GuidesFrom Scanner to Trade: Full Workflow Guides
Table of Contents
Introduction
Why a Full Workflow is Crucial for Consistent Trading
Step 1: Defining Your Edge-What to Scan For
Step 2: Setting Up Scanners in TradingView
Step 3: Filtering & Ranking Potential Trades
Step 4: Deep Analysis-Technical, Fundamental, and Sentiment Checks
Step 5: Planning the Trade-Entries, Exits, and Risk
Step 6: Executing the Trade and Real-Time Adjustments
Step 7: Trade Management-Monitoring and Adapting
Step 8: Post-Trade Review and Journaling
Step 9: Tips, Case Studies, and Advanced Workflows
Conclusion: Making the Scanner-to-Trade Workflow Your Own
Introduction
What separates a consistent trader from someone who hops between strategies, never seeing results? Workflow.
The difference is as dramatic as preparing a gourmet moussaka with carefully layered ingredients versus tossing random ones into a pan.
As passionate trading tool creators, we know the power of process . Yet, most TradingView users stop at scanning for new tickers, rarely following a structured approach from scanning to trade selection , execution , and review . That’s where this in-depth guide comes in.
This article will walk you through a step-by-step workflow , using TradingView’s powerful features and easy-to-follow frameworks to help you transform from a chart-hopper into a methodical trader.
Let’s get started!
Why a Full Workflow is Crucial for Consistent Trading
Before we break down the process, let’s understand why a workflow matters.
Eliminates Guesswork : A workflow ensures every trade passes the same high standards, reducing emotional decisions.
Saves Time : Systematic filtering and ranking quickly highlight the best opportunities.
Improves Results : Backtests show that traders using a structured workflow outperform those who pick trades impulsively.
Enables Review : Every step can be reviewed post-trade, so you always know what worked and what didn’t.
The workflow is your trading “recipe.” Follow it, tweak it, and the results will come.
Step 1: Defining Your Edge-What to Scan For
Your workflow begins before you scan. First, define what you want to find. Are you a breakout trader, mean-reversion specialist, or a momentum chaser? Your edge -the reason you believe you can profit-should drive every scan.
Ask Yourself:
Do I want to catch squeeze breakouts with momentum?
Am I seeking multi-timeframe trend alignment?
Are volume spikes important for my entries?
Do I care about a stock’s fundamentals or just the chart?
Case Study: Finding Squeeze Momentum Setups
Suppose you love the squeeze momentum strategy. Your scanner should look for:
Low Bollinger Bandwidth (market coiling up)
Rising momentum (e.g., MACD turning up)
Volume spike confirming interest
This is your “ingredient list”-customize it to your taste and strategy.
Step 2: Setting Up Scanners in TradingView
TradingView’s Stock Screener is powerful, yet many traders barely scratch the surface. Here’s how to go beyond the basics.
2.1 Launching the Screener
Open any TradingView chart.
Click the Screener tab (bottom panel).
Choose Stocks , Crypto , or Forex according to your focus.
2.2 Customizing Your Filters
Set market (e.g., NASDAQ, NYSE, Crypto Top 100).
Add technical filters: price change %, RSI, MACD, volume, volatility, and, if available, squeeze momentum values (e.g., your custom script output).
Add fundamental filters if needed: EPS growth, P/E ratio, market cap, etc.
Example Setup: Squeeze Momentum Breakout Scan
Market: US stocks (selected in the screener)
Liquidity Filter: Volume × Price > 100M USD (focuses on liquid stocks and avoids thinly traded names)
Volatility & Momentum Filter: Vol Change > 10% (captures stocks with significant recent movement)
Minimum Price Filter: Price > 10 USD (to avoid penny stocks and illiquid tickers)
Volatility Squeeze Condition: 1. Bollinger Bands (20, 1 day) Lower above Keltner Channels (20, 1 day) Lower, and 2. Bollinger Bands (20, 1 day) Upper below Keltner Channels (20, 1 day) Upper (classic squeeze setup: BB inside KC highlights contraction/ready-to-expand momentum)
Calibration isn't about being perfect-it's about making your tools work better for specific markets.
2.3 Saving and Automating Your Scanner
Save your screener settings as a preset ( Save Screener Template ).
Set up alerts (once this feature becomes available in TradingView) so you’ll be notified when a new ticker matches your criteria.
Step 3: Filtering & Ranking Potential Trades
Your scanner likely spits out dozens of results. Time to filter and rank them, so you focus only on the “cream of the crop.”
3.1 The First Pass-Eliminate Noise
Skip tickers with low liquidity (e.g., daily volume < 100,000 shares for stocks).
Ignore assets with unreliable price action (wide spreads, frequent gaps).
Check for major news events or earnings that could cause unexpected volatility.
3.2 Ranking Your Candidates
Prioritize by:
Strength of signal (e.g., squeeze + multi-timeframe trend alignment)
Volume surge (higher is better)
Relative strength vs. benchmark (e.g., SPY, BTC)
Proximity to strong support/resistance (closer is often better for risk/reward)
Pro Tip: Create a Scorecard
Assign 1–5 points for each criterion and total up scores for each ticker. Focus on the top 3–5 results.
Don’t just “feel” your top picks-score them for objective clarity!
Step 4: Deep Analysis-Technical, Fundamental, and Sentiment Checks
With ranked candidates, now perform a deeper dive. This is where your experience and favorite tools come into play.
4.1 Charting and Technicals
Apply your key indicators (e.g., Squeeze Mom, Power Trends, Volume Profile).
Check price structure: higher highs/lows, base breakouts, wedges, etc.
Look for confluence: do different indicators and patterns agree?
4.2 Multi-Timeframe Confirmation
Check setup validity on daily, 4H, and 1H charts.
Does the larger trend support your trade, or are you trading against momentum?
4.3 Optional: Fundamental & Sentiment Checks
Is the company reporting earnings soon? Any big news?
For crypto, is there on-chain or social sentiment you should know about?
Example Workflow:
Chart 1: Daily Squeeze setting up, MACD positive, volume picking up.
Chart 2: 1H uptrend confirmed, minor pullback for entry.
News: No earnings for two weeks-less risk of surprise.
Step 5: Planning the Trade-Entries, Exits, and Risk
Now that you have a shortlist of well-vetted opportunities, it’s time to craft a plan. Failing to prepare is preparing to fail-so we layer in precise entries, realistic targets, and robust risk management.
5.1 Entry Strategies: The Art of Timing
Your scanner found potential, but your entry determines your reward-to-risk. Here’s how to approach it on TradingView:
Breakout Entry: Place buy-stop orders just above resistance or the squeeze “release” point.
Pullback Entry: Wait for a retrace to moving average or previous support, then enter on bullish reversal candle.
Confirmation Entry: Wait for indicator confirmation (e.g., Squeeze firing, MACD cross, volume surge) before pulling the trigger.
Great entries are less about prediction and more about preparation and confirmation.
Visualizing Your Entry
Draw horizontal lines at anticipated entry points ( Alt + J hotkey). Use TradingView’s “long position” tool to visualize profit/loss zones.
5.2 Setting Targets: Aim for Realistic Wins
Don’t hope-measure! Define exits before entering so emotion doesn’t sabotage your plan.
Price Target: Project a move based on past squeeze breakouts (e.g., last breakout ranged $4, set target for similar move).
ATR (Average True Range): Use ATR to estimate typical moves and avoid setting targets too far or too close.
Fibonacci Extensions: Use Fibs to find likely resistance/support for partial profits.
5.3 Stop Losses: Defend Your Capital
Risk management is your lifeline. Set stops where the trade idea is invalidated-not just at arbitrary numbers.
Below previous support or swing low (for long trades).
At technical invalidation-e.g., squeeze fails and price dips below the setup.
ATR-based stop (e.g., 1.5x ATR below entry).
Trade Example:
Entry: Breakout above $100.
Stop Loss: $97 (previous support, 1.5x ATR).
Target: $104 (measured move from last squeeze).
5.4 Position Sizing: How Much to Risk?
Golden Rule: Risk only a small percentage of your trading capital per trade.
Standard: 1–2% of account per trade.
Use TradingView’s position tool to measure.
Calculate shares/contracts based on distance from entry to stop.
Position sizing is the invisible lever that controls your trading destiny.
Step 6: Executing the Trade and Real-Time Adjustments
Execution bridges planning and reality. Even the best plans need discipline, fast reflexes, and the willingness to adapt if markets shift.
6.1 Entering the Trade: Be Precise
Use limit or stop orders, not market orders, to avoid slippage-especially in fast-moving assets.
Review your parameters one last time.
Set alerts using TradingView’s Alarm Clock icon for your entry, stop, and target.
// Basic Alert Example in Pine Script
if (ta.crossover(ta.sma(close, 9),ta.sma(close, 21)) )
alert("Bullish crossover detected", alert.freq_once_per_bar)
6.2 Monitoring During the Trade
Keep emotions out-let the process work. However, always watch for:
Sudden news events or market shocks.
Volume surges against your position.
Reversal candles (e.g., bearish engulfing at target zone).
6.3 Adjusting On-the-Fly
Sometimes, price action demands flexibility:
Move stop to break-even once price moves in your favor.
Scale out (sell a portion) at first target, let the rest run.
Exit early if your setup is invalidated (e.g., heavy volume reversal).
Adaptation is not abandoning the plan-it’s respecting the market’s message.
Step 7: Trade Management-Monitoring and Adapting
Trade management is an art that separates amateur from pro.
7.1 Trailing Stops and Locking Profits
Use trailing stops (fixed % or ATR-based) to lock in gains if price runs well past your target.
TradingView’s “long/short position” tool helps visualize your risk/reward as price moves.
7.2 Scaling In/Out
Scale in: Add to winners on confirmed strength (e.g., after strong breakout retest).
Scale out: Sell partial positions at key resistance/fib levels.
7.3 Dealing With Adverse Moves
If stop hit, close trade-review, don’t revenge trade.
If setup changes dramatically (e.g., news reversal), consider exiting early.
The best traders protect profits, not egos.
Step 8: Post-Trade Review and Journaling
By now, you’ve completed the trade-but the learning (and edge-building) is just beginning.
8.1 Review Every Trade: The Secret to Improvement
Did you follow your plan? If not, why?
What worked? What didn’t?
Were your scanner criteria effective?
Was your sizing/risk on point?
8.2 Journaling Your Workflow
Create a trade journal, either in TradingView’s notes or external tool (Notion, Google Sheets, etc.)
Screenshot entry/exit with annotations.
Log your scanner triggers and reasoning.
Add psychological notes: Were you calm or emotional?
Tag setups: “Earnings Squeeze,” “Breakout,” etc.
A detailed journal is your best trading mentor.
8.3 Performance Analysis
Periodically review your logs to spot patterns:
Which setups yield best R/R?
Where do you most often break your rules?
How does time of day/market impact outcomes?
Step 9: Tips, Case Studies, and Advanced Workflows
9.1 Expert Tips for Workflow Success
Automate alerts for scanner triggers-don’t stare at screens all day.
Batch your research (e.g., scan every evening, then focus only on finalists).
Develop a pre-trade checklist (see sample below).
Refine regularly: Tweak scanner filters as markets evolve.
// Sample Pre-Trade Checklist as Comments
// 1. Is the squeeze setup clear on multiple timeframes?
// 2. Is volume confirming the move?
// 3. Any major news/earnings ahead?
// 4. Stop loss + target realistic?
9.2 Real-World Case Study: Squeeze Momentum on TSLA
Imagine your scanner spits out NASDAQ:TSLA due to a tight squeeze and surge in volume.
Analyze the chart: Daily chart shows a strong squeeze setup with multi-timeframe squeezes firing bullish momentum (see the MTF Squeeze dashboard and green histogram). Volume spikes confirm buying interest. The 4H and daily timeframes are both aligned to the upside.
Check Earnings: Earnings are 30 days away, reducing the risk of event-driven surprises.
Trade Setup: Set entry just above the most recent swing high ( $197.5 ), with stop-loss below the support and squeeze base ( $186 ). The initial profit target is set at a measured move near $220 (prior swing high resistance and typical squeeze expansion).
Manage the Trade: Enter on breakout above $197.5; once price reaches around $208–$210, move stop to break-even. As price hits $220, sell half and trail the remainder using the 4H ATR or dynamic support.
Journal: “Setup fired as per screener and indicator alignment: volume spike, momentum, and squeeze breakout confirmed. Exited partial at target, managed risk throughout.”
9.3 Advanced: Multi-Timeframe, Multi-Asset Workflow
Combine scans across different assets (stocks, crypto, forex) using saved screener presets for catching opportunities globally. Create custom “watchlists” for different strategies, and rotate focus based on market conditions.
Stocks: Focus on squeeze breakouts.
Crypto: Seek mean reversion in sideways markets.
Forex: Look for multi-timeframe trend alignment.
Conclusion: Making the Scanner-to-Trade Workflow Your Own
Trading is not about prediction, but process. The difference between hope and edge is workflow-layered, adaptable, and reviewable.
By mastering the scanner-to-trade workflow, you can:
Act with confidence, not hesitation.
Avoid missed wins and costly emotional losses.
Turn complexity into clarity-one structured step at a time.
Start simple, layer in complexity as your skills grow, and let your journal be your improvement compass. The recipes here are just a foundation-make them your own, adapt them for your tools, markets, and goals.
Your next high-quality trade is just a repeatable workflow away.
Happy trading and happy building!
Game-changing analysis technique that will elevate your strategyAs many of my loyal followers know, my analysis toolkit goes beyond just the standard fare of CME options data and COT reports. I dive deeper, utilizing additional filters like the average long and short positions of retail traders. These insights are publicly available, and while I won’t name specific sources to avoid any hint of hidden promotion, I’ll give you a clue: look for a website with the word "book" in its title. 📚
For years, I’ve relied on this data, and it has proven to be both reliable and insightful. The average positions of market participants serve as both filters and indicators. But what do I mean by indicators?
Let’s break it down. When the price interacts with these levels, it reveals the market sentiment. For instance, if the price is below the average long position and breaks through easily, it’s a bullish sentiment. Conversely, if it hovers below the level and struggles to break through, that’s still bullish, as it indicates buyers are being drawn into profitable territory.
Now, let’s flip the script for the bears: if the price breaks down from above or struggles below the average short position, that’s a bearish sentiment. The price isn’t responding to sellers, dragging them into a profit land.
There’s more. Often, you’ll notice different behaviors near these key levels, allowing you to enter positions with an incredible risk/reward ratio of 3:1, 5:1, or even better! This clarity gives you insight into the current market mood—who’s being punished and who’s favored at that moment.
Now, let’s take a look at the screenshot of the British Pound futures chart. Here’s what you’ll see:
- A green line representing the average long position of retail traders.
- A red line for the average short position.
- The breakeven point of a put option contract for the June futures expiring on May 22, with 1,320 contracts at a strike of 1.295.
Take a moment to study the chart. What do you observe? 🤓
Ok, breathe in, breathe out. Tomorrow, we’ll dive deeper into this analysis. Don’t forget to subscribe so you won’t miss the continuation of this story! The insights I’ll share are definitely worth your time, as I aim to shift your perspective on the market by demonstrating a clear methodology without relying on indicators or technical patterns.
Stay tuned; it’s going to be incredibly valuable! 🚀✨
TWAP and Chaikin's Osc vs VWAP Orders and VWAP IndicatorThere are two primary Order Types that the Professional Side of the market use.
1. Time Weighted at Average Price, aka TWAP , is used extensively by the Dark Pool Buy Side, Derivative Developers, and Sell Side Banks of record for Buybacks for corporations.
The TWAP can be set at a penny to few pennies spread and pings and transacts on a specific TIME to PRICE. It can be set to time intervals shorter or longer. This is why the stock market is called "fully automated".
TWAP is used most of the time. It is rare for the Giant Institutions to use VWAP orders due to the May 2010 FLASH CRASH when a fundamental trader of e-minis accidentally hit the VWAP order type rather than the TWAP order type which caused a massive collapse of all stocks as VWAPs accelerate selling as volume increases.
2. Volume Weighted at Price or VWAP is ALSO an ORDER TYPE. It is primarily used by Small Funds Managers and Small Asset Managers who are independents trading their customers' investment money actively, often intraday. Volume Weighted at price ORDER TYPES are also automated and ping to trigger the order to transact as volume increases.
This is an easy, simple way for a busy small fund manager to cope with the complexity of buying and selling stocks with 10,000 share lots to 100,000 share lots. These are the NEW "whales" of the market.
Professional Traders Swing trade 1 million to 5 million or higher share-lot sizes. The size of the orders of the professional trader has increased significantly in the past decade.
All of you need to be aware of the market participants on the professional side as they control 80% of the 1 trillion dollars that exchange hands daily on the US Markets.
Using Chaikin's Oscillator is ideal for tracking the Dark Pool Buy Side who create the bottoms. This excellent indicator analyzes all 3 data sets: price, volume and time. Thus, it can signal early that the Dark Pools have slowly started to accumulate over time and the runs down will turn into a bottom and then pro traders will nudge price to inspire VWAP orders from the Smaller funds managers.
The VWAP INDICATOR is excellent for tracking the smaller funds managers' trading activity and it ALSO has price, volume, and time in the formula. So this is great for those of you who need an indicator for following smaller funds activity as these smaller funds VWAP orders trigger more and more volume and then runs that can move up or down for several days.
TradingView has an awesome group of indicators to use. You should customize your indicators to which market participant groups you wish to track so that you can be ready and in a position before the big runs up or down.
Trade Wisely,
Martha Stokes CMT
HOW-TO: Use the Camarilla Pivots & BBT Strategies indicatorThis how-to shows the Camarilla Pivot & BBT Strategies indicator in action, the 5-minute timeframe is ideal for this. It shows the price action reacting to the HA play (S3 to R3 traversal). The "H" means that the ticker is in a Higher range on this day, the "A" refers to the label on the strategy in the image. In fact, the price does past R3 (which is the exit point) and reaches R4, at which point it trigger the "E" play, which is an R4 extreme reversal. A great trade, if you took it!