You want to be a trader but you have a 9-5 Educational purpose only. You want to be a day trader but can't trade market open because you have a job or you are too busy. The daily bar can give you just as much profits as the 5 min charts. In this video ill teach you how to find support and resistance zone on any market. Opening a line chart starting from the weekly and then looking for areas where price has repeatedly reverse gives you a clue of where price may go in the future on a daily chart. Watch till the end to see how this strategy is applied to all markets.
Trend Analysis
7 reasons why people may still struggle to make money in crypto Why people may still struggle to make money in #crypto
1. ** #Market Volatility**
- The cryptocurrency market is highly volatile, with prices fluctuating dramatically. This can lead to significant losses if investments are not timed well.
2. **Lack of Information**
- Insufficient information can hinder investment decisions, making it difficult to identify profitable opportunities.
3. **Fraud and Scams**
- The crypto space is rife with scams and fraudulent schemes. It's crucial to be able to distinguish between legitimate projects and scams.
4. **Lack of Long-term Perspective**
- Many investors focus on short-term gains, which can lead to impulsive decisions and losses, rather than holding for the long term.
5. **Emotional Trading**
- Emotional reactions to market changes can lead to poor decision-making, such as panic selling or chasing after trends.
6. **Regulatory Uncertainty**
- Ongoing regulatory changes can impact the market and create uncertainty, affecting investment strategies.
7. **High Transaction Fees**
- Transaction fees can eat into profits, especially for smaller trades.
Conclusion
Investing in cryptocurrency requires careful research, a clear strategy, and an understanding of the risks involved.
Support and Resistance Levels: A Beginner Trader's GuideSupport and Resistance Levels: A Beginner Trader's Guide
Hello!
If you’re just starting your journey in trading, you’ve probably already heard about "support" and "resistance." These terms might sound intimidating, but their essence is simple. Think of an asset’s price as a ball bouncing between a floor and a ceiling. The floor is support , and the ceiling is resistance . Let’s break down how this works and how to use these levels in your trading.
1. What Are Support and Resistance?
- Support is a price level where buyers (bulls) are strong enough to halt a decline.
→ Example: Suppose the GBP/USD price drops to resistance line multiple times but bounces back each time. This line is a strong support level.
- Resistance is a level where sellers (bears) take control, preventing the price from rising further.
Why is this important?
These levels help you anticipate where the price might reverse or continue moving. They’re like road signs on your chart!
2. How to Identify Support and Resistance on a Chart
Start by analyzing price history. Support and resistance levels form where the price has repeatedly stalled.
- Step 1: Open a daily or hourly chart . The larger the timeframe, the more significant the level.
- Step 2: Look for points where the price reversed . For example, lows (for support) and highs (for resistance).
- Step 3: Draw horizontal lines through these points.
→ Visual Example:
On the GBP/USD chart, the price tested the level multiple times and bounced. This is clear support. The resistance level, where upward momentum stalled, acts as resistance.
3. How to Trade Using Support and Resistance
There are two main scenarios: *bouncing off a level* and *breaking through a level*.
Scenario 1: Bouncing Off Support or Resistance
- If the price approaches support, consider opening a long position (buying), expecting a rebound.
- If the price nears resistance, consider opening a short position (selling), anticipating a drop.
Scenario 2: Breaking Through a Level
If the price breaks support or resistance with high volume, it’s a signal to act:
- Breaking resistance → Buy.
- Breaking support → Sell.
→ Example:
GBP/USD breaks above resistance at 2.01050. You enter a short position, placing a stop-loss below 2.04040 order-block.
4. Common Beginner Mistakes to Avoid
- Overloading the chart with lines . Don’t mark every minor swing—focus on key levels.
- Ignoring volume . A breakout without increasing volume is often a false signal.
- Impatience . The price may test a level repeatedly—wait for confirmation before trading.
5. Practice Is the Key to Success
1. Study historical data . Open past charts and practice identifying levels retrospectively.
2. Use a demo account . Test your strategies risk-free.
3. Keep a trading journal . Note why you chose specific levels and analyze your mistakes.
6.Conclusion
Support and resistance levels are your best allies in trading. They reveal market structure and guide your decisions. Don’t get discouraged if it feels challenging at first—practice will sharpen your intuition. Remember, even professionals make mistakes. Focus on risk management and continuous learning.
Good luck! You’ve got this!
Fibonacci Extensions: Mapping Market Psychology Beyond the TrendHello, traders! 💫
Fibonacci numbers have traveled far from ancient Italian math to modern trading charts. In technical analysis, Fibonacci Extensions aren’t just mystical ratios; they’re a structured way to project potential price targets based on crowd psychology and trend continuation.
But what are they really, and why do so many traders draw those lines with near-religious fervor?
🧠 A Quick Historical Detour
Leonardo Fibonacci introduced the sequence to the West in the 13th century based on patterns he observed in Indian mathematics. The key idea is that each number in the sequence is the sum of the two before it: 1, 1, 2, 3, 5, 8, 13, 21...
When you divide specific numbers in the sequence, you get ratios that repeat throughout nature — and, intriguingly, financial markets. These include:
0.618 (the “golden ratio”)
1.618
2.618, and so on.
While Fibonacci Retracements look backward to gauge potential pullbacks, Fibonacci Extensions look forward to mapping possible continuation levels after a price move.
📊 Fibonacci Extensions
To use Fibonacci Extensions, you need three points:
The Start of a Trend (Point A)
The End of the Trend or Impulse Move (Point B)
A Retracement Low/High Where Price Bounces or Consolidates (Point C)
This ABC move applies Fibonacci ratios to project levels beyond point B, helping traders visualize where the price might go if the trend continues.
Common Extension Levels Include:
1.272
1.618 (golden ratio)
2.0
2.618
Each level acts as a kind of psychological milestone — not a guarantee, but a place where market participants may take profits, reassess, or react.
🔎 Let’s Take a Real Example: BTC/USDT Weekly
It's not that Fibonacci numbers have magical power. The theory is based on self-fulfilling behavior. When enough traders watch the same levels — and act on them — they can influence real outcomes.
The chart illustrates how Fibonacci retracement levels can be used to understand the depth and structure of a correction during a bullish cycle.
Low (~$4,783) in March 2020 (COVID-19 Сrash)
to the High (~$65,834) in November 2021 (Bull Market Peak)
From there, the price corrected throughout 2022–2023. Let’s look at what happened at each level — and what it tells us on the graph.
🔍 Why This Matters
Your retracement levels aren’t just lines — they mapped the psychology of the market:
Investors Testing Conviction at 0.5
Panic at 0.618
Capitulation Near 0.786 — but Without Full Breakdown
And Finally: A Rebound in 2023, Leading to New Highs in 2025
This kind of structure is textbook Fibonacci behavior — and is part of why retracement levels remain a core part of institutional technical analysis.
⚖️ Final Thought
Fibonacci Extensions are not about telling you where the price will go — they’re about framing where the price might go if the current trend keeps moving. It’s a lens through which to read market psychology, momentum, and expectation. Combined with volume, structure, and broader trend context, they potentially help analysts build a more nuanced market narrative.
And maybe Leonardo Fibonacci would have appreciated that his 800-year-old math is still trying to decode modern human emotion, just on candlestick charts.
BTCUSDT 13R Trade Breakdown: Deep Crab Pattern + SMC Precision Hello Traders!
If you enjoyed my previous post on combining Harmonic Patterns with Smart Money Concepts (SMC) for high-precision, high-risk-to-reward trades, then you're going to love this breakdown on BTCUSDT.
If you haven’t checked out my earlier content, make sure to scroll below this post and see that first—it sets the foundation for what we’re diving into here.
📈 BTCUSDT Trade Breakdown: Harmonic x SMC Precision Entry
This analysis was originally shared around three weeks ago on my YouTube channel, and if you were with me live, you’ll remember I was closely watching for a Bullish Deep Crab Pattern to complete before considering a LONG position.
Let’s walk through the setup and outcome step-by-step:
🕰 WEEKLY TIMEFRAME:
Price was reacting to a Weekly Fair Value Gap (FVG) and had filled the imbalance.
As shown in the chart:
🔍 SETUP: Strategy Confirmation
Important Reminder:
Just because price hits a key level doesn’t mean we jump in to buy or sell.
✅ There must be a confirmed Harmonic Pattern that aligns with the key SMC level.
On the Daily Chart, we identified a valid Bullish Deep Crab Pattern:
B-point at 0.886
PRZ (Potential Reversal Zone) at 1.618 FIB Extension
This PRZ aligned perfectly with the key level identified on the Weekly chart.
🎯 ENTRY STRATEGY (15-Minute Chart):
We zoomed into the 15M chart for an SMC-based entry.
Supply-to-demand flip confirmed with a visible liquidity inducement—textbook confirmation.
Entry was just a few pips below the recent swing low to limit downside risk in case of invalidation.
Take Profits (TPs) were set using standard Deep Crab targets, based on FIB retracements from A to D:
✅ TP1 at 0.382
✅ TP2 at 0.618
✅ TP3 at 0.786
✅ TRADE OUTCOME:
Entry was cleanly triggered and the price followed through as expected.
All three profit levels were successfully hit:
✅ TP1
✅ TP2
✅ TP3
We secured an impressive 13R on this single BTCUSDT trade —a solid example of what happens when Harmonics and Smart Money Concepts are aligned.
💬 Your Turn:
Did you take this BTC trade using a different strategy?
Or did you spot the pattern and enter alongside me?
Drop your thoughts and experiences below this analysis—let’s learn together!
Mastering Fair Value Gaps (FVG) - How to use them in trading?In this guide, I’ll explain the concept of the Fair Value Gap (FVG), how it forms, and how you can use it to identify high-probability trading opportunities. You'll learn how to spot FVGs on a chart, understand their significance in price action, and apply a simple strategy to trade them effectively.
What will be explained:
- What is a FVG?
- How can a FVG occur?
- What is a bullish FVG?
- What is a bearish FVG?
- How to trade a FVG?
-------------------------------
What is a FVG?
A FVG is a technical concept used by traders to identify inefficiencies in price movement on a chart. The idea behind a fair value gap is that during periods of strong momentum, price can move so quickly that it leaves behind a "gap" where not all buy and sell orders were able to be executed efficiently. This gap creates an imbalance in the market, which price may later revisit in an attempt to rebalance supply and demand.
A fair value gap is typically observed within a sequence of three candles (or bars). The first candle marks the beginning of a strong move. The second candle shows a significant directional push, either bullish or bearish, often with a long body indicating strong momentum. The third candle continues in the direction of the move, opening and closing beyond the range of the first candle. The fair value gap itself is defined by the price range between the high of the first candle and the low of the third candle (in the case of a bullish move), or between the low of the first candle and the high of the third (in a bearish move). This range represents the area of imbalance or inefficiency.
-------------------------------
How can a FVG occur?
There are several factors that can trigger a fair value gap
- Economic news and announcements
- Earnings reports
- Market sentiment
- Supply and demand imbalances
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What is a bullish FVG?
A bullish FVG is a specific type of price imbalance that occurs during a strong upward move in the market. It represents a zone where the price moved so aggressively to the upside that it didn’t spend time trading through a particular range, essentially skipping over it.
This gap usually forms over the course of three candles. First, a bullish candle marks the beginning of upward momentum. The second candle is also bullish and typically has a large body, indicating strong buying pressure. The third candle opens higher and continues moving upward, confirming the strength of the move. The bullish fair value gap is the price range between the high of the first candle and the low of the third candle. This area is considered an imbalance zone because the market moved too quickly for all buyers and sellers to interact at those prices.
-------------------------------
What is a bearish FVG?
A bearish FVG is a price imbalance that forms during a strong downward move in the market. It occurs when price drops so rapidly that it leaves behind a section on the chart where little to no trading activity happened.
This gap is identified using a three-candle formation. The first candle typically closes bearish or neutral, marking the start of the move. The second candle is strongly bearish, with a long body indicating aggressive selling pressure. The third candle opens lower and continues the move down. The bearish fair value gap is the price range between the low of the first candle and the high of the third candle. That range is considered the imbalance zone, where price skipped over potential trade interactions.
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How to trade a FVG?
To trade a FVG effectively, wait for price to retrace back into the gap after it has formed. The ideal entry point is around the 50% fill of the FVG, as this often represents a balanced level where price is likely to react.
During the retracement, it’s helpful to see if the FVG zone aligns with other key technical areas such as support or resistance levels, Fibonacci retracement levels, or dynamic indicators like moving averages. These additional confluences can strengthen the validity of the zone and increase the probability of a successful trade.
Enter the trade at the 50% level of the FVG, and place your stop loss just below the most recent swing low (for a bullish setup) or swing high (for a bearish one). From there, manage the trade according to your risk-to-reward preferences—whether that’s 1:1, 1:2, or a higher ratio depending on your strategy and market conditions.
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GOLD: The Timeless Asset Every Trader Should Master"Empires rise, currencies fall—but Gold never forgets its value."
From ancient temples to central bank vaults, Gold has stood as a pillar of wealth and power. But beyond its glitter lies a dynamic market driven by tradition, emotion, and macroeconomic forces. Today, we explore Gold's deeper story, from its roots to its geopolitical and cultural drivers and why it continues to be one of the most fascinating instruments in the financial world.
🏛️ A Brief History: When Gold Became a Tradable Asset
Gold has been used as money for over 5,000 years, but it became a formal trading instrument in modern financial markets in the 1970s, after the collapse of the Bretton Woods system. This shift allowed Gold to float freely against the US Dollar, opening it up to speculative trading.
Initially dominated by institutions, Gold became accessible to retail traders in the early 2000s, thanks to:
The rise of online trading platforms
The introduction of CFDs (Contracts for Difference)
Brokerages offering leveraged accounts with low capital requirements
📈 Gold was then added to TradingView, empowering global traders with institutional-grade tools to analyze and trade Gold markets in real time.
📍 COMEX vs Spot Gold: What’s the Difference?
Many traders don’t realize they’re looking at two closely related—but different—Gold markets.
🔍 Why it matters:
Spot Gold is what most retail traders buy and sell via brokers. COMEX Gold futures show institutional positioning and often lead the trend during high-volume sessions.
🔁 Pro Tip: Spot Gold (XAU/USD) and COMEX Futures (GC1!) typically move together, but watching both can help spot:
Volume spikes before big moves
Divergences in short-term sentiment
Roll-over or expiration volatility
🧭 Consider charting both together to better understand market dynamics across retail and institutional flows.
China & India: The Powerhouses Behind Physical Demand
Together, India and China account for over 50% of global consumer Gold demand, making their influence enormous, especially during cultural and seasonal peaks.
India: Gold as Religion, Wealth & Legacy
In India, Gold is more than an investment, it’s sacred. It plays a central role in:
Weddings: Millions of marriages occur annually, with families gifting large amounts of Gold.
Festivals: Especially Diwali and Akshaya Tritiya, where buying Gold is seen as auspicious.
Dowries & inheritance: Gold is passed down across generations, reinforcing cultural and financial value.
Gold demand spikes seasonally from September to February, driven by marriage season and religious celebrations, creating bullish tailwinds globally.
China: From Tradition to Strategic Reserve
China, the world’s top Gold producer, is also one of its biggest consumers. Gold plays both a traditional and tactical role:
Cultural: Common gifts for births, weddings, Lunar New Year, and other key events.
Strategic: Used to hedge wealth amid real estate slowdowns, market turbulence, or strict capital controls.
Demand peaks during Lunar New Year (Jan–Feb) and Golden Week (Oct)—key seasonal catalysts in Gold’s annual cycle.
🌍 Seasonal Demand Windows: The Cultural Gold Cycle
Gold’s demand is deeply seasonal due to traditions in China and India:
Jan–Feb: Chinese New Year buying
Aug–Oct: Indian festival prep + wedding season
Nov: Diwali in India
Dec: Global rebalancing, safe-haven inflows
These cycles often precede bullish waves in price, even before macroeconomic news hits the wires.
🧭 What Moves Gold? (Beyond Culture)
Cultural demand isn’t the only force. Gold is influenced by:
📉 Interest rates & inflation
💵 US Dollar strength/weakness
🌍 Geopolitical tension
🏦 Central bank buying (especially from Russia, China, and Turkey)
These macro drivers make Gold both a defensive hedge and a speculative asset.
🏦 Top Global Gold Reserves (2025)
Central banks continue to accumulate Gold, a clear sign of long-term strategic value amid de-dollarization and rising debt.
📈 Long-Term Bullish Outlook: The Golden Momentum
Zooming out on the monthly chart, Gold remains in a long-term bullish momentum considering the factors we have just discussed with continued demand from both East and West.
🔮 Many analysts project a bullish long term continuation, especially if inflation resurges or geopolitical risk intensifies.
🔚 Final Thoughts
Gold is not just a metal, it’s a mirror reflecting culture, history, and human fear. As retail traders, understanding its deep-rooted demand, global influences, and institutional dynamics gives us an edge.
✅ Quick recap:
Gold trading exploded post-1970s and became retail-accessible in the 2000s.
China and India’s seasonal cycles create repeatable opportunities.
Spot vs COMEX adds clarity for traders.
The long-term trend remains bullish with macro support.
💬 How do you use seasonal demand or futures sentiment in your Gold analysis? Drop your thoughts in the comments below.
BTC Bulls vs Bears – Critical Level Tested, What’s Next?🚀📈 BTC Bulls vs Bears – Critical Level Tested, What’s Next? 🐂🐻
Hi everyone! New day, new charts – and once again, our levels played out beautifully! 🎯 The 102,777 zone was the battleground, and after nearly 40 price interactions at that level, the bulls took control. However, all is not settled yet!
We are currently observing multiple divergences across key indicators:
📉 MACD
📉 Histogram
📉 RSI
📉 MOM (Momentum)
📉 MFI
This suggests caution despite the bullish momentum. My expectation is for a retest of the 102,777 level, which remains the key decision point.
Here’s the updated probability outlook:
➡️ 65% chance we push higher toward the next target at 105,962, with sights ultimately set on 113,000.
⬅️ 35% chance we see a rejection and head lower.
Keep an eye on these key levels:
⚔️ 102,777 – The battleground (Bulls vs Bears)
📌 105,962 – Next target
🎯 113,000 – Ultimate target
Before I wrap up, even on the 8-hour chart, there are signs of divergences, so let’s stay sharp and move carefully. Step by step, we’ll navigate this market together!
One Love,
The FXPROFESSOR 💙
ps. WE ARE STAYING LONG! OK?
An Example Of How To Trade When You Live A Busy LifeIn this video, I demonstrate a swing trading approach that requires very little time in your day.
This type of trading, using limit orders, allows you to locate a strategy set-up, place your order in the market, set an alert, and then just let the market do it's thing.
I hope it's insightful!
The Meditrader
Bitcoin Bulls Aim for $102K – Breakout or Rejection Ahead?🚀📈 Bitcoin Bulls Aim for $102K – Breakout or Rejection Ahead? 🔍🧠
Good morning, good afternoon, or good evening — wherever you are in the world, Bitcoin is pumping, and that’s always a good sign for the bulls! 🐂
In my last BTC update, we anticipated a bounce from the key support zone around $93,600–$93,800, and price respected this level to the dot, rocketing upward just as expected. 🔥✅ That level acted as a strong springboard, and now BTC is climbing through a well-respected ascending channel on the 15-min chart.
📊 Key levels to watch:
Middle of the channel: ~$98,689
Top of the channel: ~$100,636
Psychological level: $100,000
Projected breakout target: $102,774 (60% probability 🚦)
Major resistance beyond: $113,000
However, there's always the alternate scenario: a 40% chance that we reject under $97,400, re-enter the lower end of the channel, and potentially drop toward $92,000 if that support fails. This would flip the bullish structure short-term — something to keep on your radar. ⚠️
This is a high-momentum situation, and I’ll be watching for confirmation of breakout or breakdown. Stay alert, keep your risk in check, and let the chart guide your trades. 📉📈
Let me know your thoughts in the comments — are we headed for $113K or due for a cooldown?
One Love,
The FXPROFESSOR 💙
Futures on CME and Launch of XpFinance DeFi PlatformOn May 7, 2025, the XRP ecosystem received two major developments that signal a new chapter in its evolution. First, the Chicago Mercantile Exchange (CME) announced the launch of futures contracts for XRP. Shortly thereafter, developers behind the XRP Ledger unveiled XpFinance — the first non-custodial lending platform built on the network. These two events are poised to reshape XRP's market perception and could attract a wave of new investment.
XRP Futures on CME: A Leap Toward Institutional Adoption
Set to go live on May 19, the new CME product will enable investors to trade XRP through regulated futures contracts. This is a major milestone. With similar contracts already in place for Bitcoin and Ethereum, XRP becomes the third digital asset to gain such legitimacy in institutional markets.
The introduction of futures means greater liquidity, risk management tools, and a clear path for hedge funds, pension managers, and banks to engage with XRP — without needing to custody the underlying token directly. Analysts anticipate that this added market structure could drive up demand, especially if the rollout is smooth and met with trading interest.
XpFinance and the XPF Token: DeFi Comes to XRP Ledger
The second big announcement came from XpFinance, a new decentralized lending protocol. What sets it apart is its non-custodial model — users can lend assets and earn interest while retaining full control of their private keys. At a time when centralized platforms are under scrutiny, this approach appeals to security-conscious users.
XpFinance is powered by a new token, XPF, which will be used for staking rewards, fee payments, and governance. The pre-sale of XPF has already begun and is generating buzz, especially among XRP community members eager to participate in the first major DeFi initiative on the ledger.
Market Outlook and Analyst Forecasts
Reactions from analysts have been positive. According to a report from DigitalMetrics, if both the CME futures and XpFinance platforms gain traction, XRP could see a sharp upward move — potentially reaching $10 by summer 2025. That would represent a fourfold increase from its current price.
However, risks remain. Ripple Labs continues to face regulatory pressure in the U.S., and crypto markets overall remain volatile. Still, the general tone has shifted. With increasing institutional interest and expanding utility, XRP appears to be entering a new phase of growth.
Conclusion
The combination of institutional infrastructure and decentralized finance innovation makes May 2025 a pivotal moment for XRP. If these initiatives succeed, XRP could transition from a mid-cap altcoin to a primary digital asset in the eyes of both institutional investors and the broader crypto community. Whether this momentum will translate into long-term market dominance remains to be seen — but the foundation is clearly being laid.
Simple Break of Structure BoS Trading Strategy Explained
One of the best and reliable strategies to trade break of structure BoS is to apply multiple time frame analysis.
In this article, I will teach you my break of structure gold forex trading strategy. You will get a complete step-by-step guide with examples.
Let's start with a quick theory and let me explain to you what is break of structure BoS in Smart Money Concept SMC trading.
In a bullish trend, break of structure BoS is an important event that signifies a continuation of an uptrend. It is based on a violation and a candle close above the level of the last higher high (HH).
After a breakout, the broken level becomes the first strong support for trend-following buying.
Check multiple examples of confirmed breaks of structure BoS on GBPNZD forex pair on a weekly time frame.
In a downtrend, Break of Structure BoS means a bearish trend continuation . Break of Structure is considered to be confirmed when a candle closes below the level of the last lower low (LL).
The broken key level becomes the closest strong support for buying.
That's the example of a healthy downtrend on USDJPY forex pair on a daily. Each break of structure BoS pushed the prices lower, providing a strong signal to sell.
What newbie traders do incorrectly, they trade break of structure without a confirmation strategy, and it leads to substantial losses.
Though GBPCHF is trading in a bullish trend and though each BoS provided a trend-following signal. The price retraced significantly lower below the broken structure before the growth resumed.
When the price retests a broken structure after BoS in a bullish trend, start lower time frame analysis.
If you identified a break of structure on a daily, analyze 4h/1h time frames.
If on a 4H, then 30/15 minutes.
After the price sets a new higher high with BoS in uptrend, it usually starts trading in a minor bearish trend on lower time frames.
With our strategy, your signal to buy will be a retest of a broken structure and a consequent bullish Change of Character CHoCH . That will provide an accurate bullish signal.
In a bearish trend, analyze the lower time frames after a retest of a broken structure. Your signal to sell will be a bearish Change of Character CHoCH.
Look at a price action on EURCHF on a daily.
We see a strong bullish trend and a confirmed Break of Structure BoS.
According to the rules of our trading strategy, we start analyzing 4h/1h time frames after a retest of a broken level of the last Higher High.
Our signal to buy is an intraday bullish CHoCH. We open a long trade after that with the stop loss below the intraday lows and take profit being a current high.
That's how simple this strategy is.
Multiple time frame analysis provides the extra level of security.
Strong lower time frame confirmation substantially increases the win ratio of a trading setup.
❤️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.
Ultimate Guide to Master CISDCISD stands for Consolidation, Inducement, Stop Hunt, Displacement. It’s a simple, repeatable structure that shows how smart money sets up traps in the market to grab liquidity and then make a clean move in the opposite direction.
If you’re serious about trading the ICT style, this is one of the most useful frameworks to learn. It helps you avoid chasing bad breakouts and teaches you to wait for real setups that come after stop hunts and proper market structure shifts.
But there’s one rule that’s non-negotiable — a CISD setup is only valid after a liquidity sweep. If the market hasn’t taken out a clear high or low where stops are sitting, then the rest of the model doesn’t mean anything. No sweep, no trade.
1. Start With the Liquidity Sweep
Everything begins with the liquidity grab. If price hasn’t taken out a high or low where stops are stacked, you should walk away from the setup. Don’t try to front-run a move before smart money has done its job.
The liquidity sweep is what gives the rest of the move power. That’s when price runs through obvious levels, swing highs, swing lows, the Asian range, New York session highs or lows and hits stop losses. Those stops give smart money fuel to enter in the opposite direction.
When you’re watching the market, ask yourself this:
"Who just got stopped out?"
If you can’t answer that, then it’s not a sweep. And if it’s not a sweep, it’s not a CISD.
2. Consolidation — Where Liquidity Builds
This is the first part of the structure. Price starts to move sideways in a tight range, usually during Asian session or during parts of London where volume is low. It can last for hours or even across sessions.
The key here is to understand what’s happening. Traders are placing buys above the highs and sells below the lows. Liquidity is building on both sides. It’s a trap being set. Retail traders are expecting a breakout, but smart money is waiting to use that breakout to their advantage.
Your job in this phase is to identify the range and mark out the highs and lows. That’s where stops will be sitting. You’re not looking to trade during this phase. You’re watching and planning
3. Inducement (sweep)— Fake Break to Trap Traders
After the range is set, price gives a small push out of the range just enough to get people to commit. This is the inducement. It’s the bait.
Let’s say the range high is being tested. Price breaks just above it, traders think it’s a breakout, and they go long. Maybe it holds for a couple of minutes, even gives a small push in their favor. But then it rolls over. That’s the trap. Now those traders are caught, and their stops are sitting below.
Sometimes the inducement comes before the real sweep. Other times, the inducement is the sweep. What matters is that traders have been lured into bad positions and their stops are exposed.
As a trader, your job is not to take the bait. Watch how price reacts to these fake moves. Often, they come with weak volume or are followed by an immediate sharp reversal.
4. Stop Hunt — The Sweep That Validates the Setup
This is where the real move starts to form. Price aggressively runs through the level that holds liquidity, usually below the low or above the high you marked earlier.
This is when smart money takes out the traders who were induced during the fake move. Their stops get hit, and that gives institutions the volume they need to get into the opposite side.
You should be actively watching for a reaction here. Do you see rejection? Does the candle close with a strong wick? Are there signs of absorption or order flow flipping?
This is your validation point. Once price sweeps liquidity and starts to reject the level, that’s your cue to get ready for the next part, the actual shift.
5. Displacement — The Real Move Begins
Once the sweep happens, price doesn’t just drift, it snaps back hard. This is called displacement.
Displacement is a sharp, clean move in the opposite direction of the stop hunt. This is when market structure breaks, momentum shifts, and a fair value gap usually forms.
This is your confirmation that the setup is live. The sweep happened, smart money entered, and now the market is moving with intent.
You don’t want to chase the displacement candle itself. Instead, wait for the retrace. Look for price to come back into the fair value gap or an order block left behind by the impulse. That’s your entry point.
Make sure:
Structure is broken in your direction
The move away is impulsive, not choppy
You’re not forcing an entry on a weak pullback
This is the only part of CISD where you actually take the trade. Everything else is just setup.
How to Manage Risk and Entries
Once you’ve got a valid setup, here’s how to manage it:
Entry: Enter on the CISD or wait for the pullback into the fair value gap or order block. Enter on the reaction or confirmation.
Stop Loss: Place it just past the low or high that got swept. If you’re long, your stop goes below the stop hunt candle. If you’re short, it goes above.
Take Profit: Target the next liquidity level. That could be the other side of the range, a swing high or low, or an inefficiency in price.
You can scale out if price approaches a session high or low, or hold for a full range expansion depending on the session.
Final Thoughts
The CISD model works because it’s built on how the market actually moves, not indicators, not random patterns, but liquidity.
Don’t jump in early. Don’t guess. Wait for the sweep. Wait for the displacement. That’s where the edge is.
Once you get used to watching this play out in real time, you’ll start to see it everywhere. It’s in Forex, crypto, indices, any market that runs on liquidity.
Stick to the rules. Let the model do its job. And remember: no sweep, no setup!
___________________________________
Thanks for your support!
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! 📈
What Is Random Walk Theory and Its Implications in Trading? What Is Random Walk Theory and Its Implications in Trading?
Random walk theory argues that market prices move erratic, making it difficult to analyse past data for an advantage. It suggests that technical and fundamental analysis provide little to no edge, as prices instantly reflect all available information. While some traders embrace this idea, others challenge it. This article explores the theory, its implications, criticisms, and what it means for traders navigating financial markets.
What Is Random Walk Theory?
Random walk theory reflects the idea that financial markets move erratic, making it impossible to analyse past price data for an advantage. The theory argues that price changes are random and independent, meaning past movements don’t influence future direction. This challenges both technical and fundamental analysis, arguing traders who attempt to time the market are essentially guessing.
The concept was first introduced by Maurice Kendall in 1953, who found no meaningful patterns in stock prices. Later, Burton Malkiel popularised it in A Random Walk Down Wall Street (1973), arguing that a blindfolded monkey throwing darts at a stock list would perform as well as professional traders. The underlying principle is that markets are efficient, instantly reflecting all available information.
The theory states that prices truly follow a random path, so a trader analysing charts or company reports has no statistical edge. It’s like flipping a coin—the next move is unrelated to the last. This has major implications: active trading strategies become questionable, and passive investing (e.g., index funds) may be a more logical approach.
However, while randomness can explain short-term price movements, longer-term trends still emerge. Factors like liquidity, institutional flows, and investor psychology create periods where price action deviates from pure randomness. This is where the debate arises—are markets entirely random, or do trends exist that skilled traders can take advantage of?
Understanding random walk theory helps frame this debate, offering insight into why some traders dismiss traditional analysis while others continue searching for patterns in price action.
Theoretical Foundations and Key Assumptions
The random walk hypothesis is based on mathematical models and probability, arguing that financial markets follow a stochastic process—where future price movements are independent of past trends. It builds on several key principles that shape how economists and traders view market efficiency and price behaviour.
Market Efficiency and Information Absorption
A core assumption of random walk models is that markets are efficient, meaning all available information is already reflected in asset prices. If new data emerges, prices adjust instantly, making it impossible to gain an edge through analysis. This aligns with the Efficient Market Hypothesis (EMH), which classifies efficiency into three forms:
- Weak form: Prices already reflect past movements, rendering technical analysis ineffective.
- Semi-strong form: Fundamental data (e.g., earnings reports) is priced in immediately, limiting the usefulness of research.
- Strong form: Even insider information is priced in, meaning no trader has an advantage.
Brownian Motion and Stochastic Processes
The theory borrows from Brownian motion, a model describing random movement, often used in random walk algorithms to simulate stock price fluctuations. Prices are treated as a series of independent events, much like molecules colliding in a gas.
No Clear Patterns
If prices truly follow a random walk, trends and cycles do not exist in a statistically significant way. This challenges traders who attempt to use historical data to analyse future movements.
Implications for Traders and Investors
If random walks in trading are truly the norm, then analysing market movements using historical price data is no more effective than flipping a coin. This has significant implications for both traders and long-term investors.
For traders relying on technical analysis, random walk theory presents a major problem. If price changes are independent, then tools like support and resistance, trendlines, and moving averages hold no real value. The same applies to fundamental analysis—if all available information is instantly priced in, then even detailed financial research doesn’t offer an edge.
This would mean day traders and swing traders aren’t consistently able to generate higher returns than the broader market. It’s why proponents of the theory often argue that attempting to time the market is a losing battle in the long run.
However, many supporters of the random walk theory advocate for passive investing, arguing that since, for example, individual stock movements are erratic, holding a diversified index fund is a more rational approach. Instead of trying to outperform the market, investors simply track it, reducing costs associated with frequent trading.
Criticism and Counterarguments
While random walk theory argues that market movements are independent, real-world trading data argues that markets are not entirely random. Critics point to patterns, inefficiencies, and the effectiveness of certain trading strategies as evidence that price action isn’t purely a coin flip.
Market Inefficiencies Exist
One of the biggest challenges to random walk theory is that markets display recurring inefficiencies. Certain price behaviours, like momentum effects, mean reversion, and seasonal trends, suggest that past movements do have an impact on future price action. For example:
- Momentum strategies: Studies show that assets that have performed well over the past three to twelve months tend to continue in the same direction. If price action were purely random, these trends wouldn’t exist.
- Earnings reactions: Stock prices often drift in the direction of an earnings surprise for weeks after the announcement. If markets were perfectly efficient, all adjustments would happen instantly.
Real Results
Random walk theory suggests that no trader can systematically outperform the market over time. Yet, some fund managers and proprietary traders have done exactly that. Warren Buffett’s long-term track record is often cited as evidence that skill, not just luck, plays a role in investing and trading. Similarly, hedge funds employing quantitative strategies have consistently generated returns, challenging the idea that price movements are entirely random.
The Adaptive Markets Hypothesis
A more flexible alternative is Andrew Lo’s Adaptive Markets Hypothesis, which seeks to reconcile the EMH’s claim that markets are rational and efficient with behavioural economists’ argument that markets are, in reality, irrational and inefficient. Instead of being entirely random, markets evolve based on participants’ actions, allowing patterns to emerge.
While random walk theory provides a useful framework, real market behaviour often deviates from its assumptions, leaving room for traders to find potential opportunities beyond pure randomness.
Practical Considerations for Traders
Even if markets exhibit randomness in the short term, traders still need a structured approach to analysing price action and managing risk. While random walk theory challenges traditional methods, it doesn’t mean traders should abandon analysis altogether. Instead, it highlights the importance of probabilistic thinking, risk control, and understanding market conditions.
Short-Term vs. Long-Term Price Behaviour
Markets may behave randomly on a daily or weekly basis, but longer-term trends can emerge due to liquidity shifts, institutional positioning, and macroeconomic factors. Traders focusing on short-term moves often work with probabilities, using statistical models and historical tendencies to assess risk and potential trade opportunities.
Risk Management in an Uncertain Market
If price movements are largely unpredictable, risk control becomes even more important. Traders typically limit their exposure using stop losses, position sizing, and diversification to avoid being caught on the wrong side of market volatility. Instead of focusing on certainty, they manage the probability of different outcomes.
The Role of Quantitative Strategies
While traditional chart patterns may be questioned under random walk theory, quantitative and algorithmic strategies analyse large datasets to identify inefficiencies. High-frequency trading firms, for example, exploit microsecond price discrepancies that aren’t visible to the human eye.
Rather than proving whether markets are fully random, traders adapt by testing, refining, and adjusting their strategies based on what works in real conditions. The most experienced traders accept uncertainty but structure their approach around probabilities and risk management.
The Bottom Line
Random walk theory challenges the idea that past price movements provide an edge, arguing that markets move erratically. While some traders accept this and focus on passive investing, others analyse inefficiencies to find potential opportunities.
FAQ
What Is the Random Walk Theory?
Random walk theory suggests that asset prices move unpredictably, with past movements having no influence on future direction. It argues that markets are efficient, meaning all available information is instantly reflected in prices. This challenges the idea that traders can consistently outperform the market using technical or fundamental analysis.
What Is the Meaning of the Random Walk Fallacy?
Critics of the theory argue that the random walk fallacy is the mistaken belief that financial markets move in a completely random manner, disregarding factors such as fundamental analysis, technical patterns, and behavioural finance that can influence price trends. This misconception may cause traders to overlook potential opportunities for strategic analysis.
What Are the Criticisms of Random Walk Theory?
Critics argue that markets display patterns, inefficiencies, and behavioural biases that contradict pure randomness. Studies on momentum, mean reversion and liquidity effects show that past price movements do influence future trends.
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.
Japanese Yen Pairs: A Short Guide on Relative StrengthIndicators are a popular choice among many traders, and they certainly have their place in my own toolkit. But sometimes it is best to simply look the price to gauge strength. And doing so, it can help us scenario plan for future events. After I take a quick look at Japanese yen pairs, I wrap up on my preferred setup.
Matt Simpson, Market Analyst at Forex.com and City Index
Trading Strategy and CEX Screen
Hello, traders.
If you "Follow", you can always get new information quickly.
Please click "Boost" as well.
Have a nice day today.
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CEX(Centralized Exchange): Centralized Exchange
DEX(Decentralized Exchange): Decentralized Exchange
As coin futures trading becomes active, I think they started classifying the coin futures charts of CEX exchanges.
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Tradingview supports various screeners.
There are several screeners in the menu at the bottom, so check them out.
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As the coin market grows, it is being classified into various themes.
I think this movement means that it is evolving into a form similar to the existing stock market.
If this classification continues to be segmented, it is likely that individual investors will eventually find it increasingly difficult to make profits.
Therefore, in order to adapt to these changes, your investment style, that is, your trading strategy, must be clear.
The trading strategy must be clear on 1. Investment period, 2. Investment size, 3. Trading method and profit realization method.
The above 1-3 must be clear.
You must classify the coin (token) you want to trade by investment period, and determine the investment size according to the investment period.
And, you must proceed with the transaction by determining the trading method and profit realization method accordingly.
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To create a trading method, you must check whether there is support near the HA-Low and HA-High indicators and create a trading method accordingly.
Basically, when the HA-Low indicator rises, it is a buying period, and when the HA-High indicator is met, it is a selling period.
In most cases, trading occurs in the HA-Low ~ HA-High indicator range as above.
If it is supported by the HA-High indicator and rises, it will show a stepwise upward trend, and if it is resisted by the HA-Low indicator and falls, it will show a stepwise downward trend.
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If you can trade in decimals like the coin market, you can set a different profit realization method.
Basically, you will sell the number of coins (tokens) you purchased and earn cash profits.
However, if you can trade in decimals, you can increase the number of coins (tokens) by selling the amount of the purchase principal.
In this way, you can increase the number of coins (tokens) corresponding to the profit and earn large profits in the mid- to long-term.
You can decide whether to earn cash profits right now or increase the number of coins (tokens) for the future depending on your investment style.
For example, I think it is a good idea to increase the number of coins (tokens) corresponding to the profit for coins (tokens) that can be held for the long term, such as BTC and ETH.
Therefore, you should think about which coin (token) to hold for the long term and decide on the profit realization method accordingly.
This method can reduce the pressure on funds even if the trading period is long because the investment money is rotated.
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Thank you for reading to the end.
I hope you have a successful transaction.
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Bitcoin Stabilizes at $94,000 — What's Next?Following a strong rally in early 2025, Bitcoin is now showing signs of stabilization, hovering around the $94,000 mark. For a notoriously volatile asset, this steady price movement might seem unusual. However, this calm may be the calm before the storm—either a breakout or a pullback. So, what’s behind this current phase of Bitcoin’s price?
Firstly, all eyes are on the U.S. Federal Reserve. Investors are nervously anticipating its next interest rate decision. As always, monetary policy acts as a major catalyst for risk assets. A rate cut could boost inflows into the crypto market, while a hike might lead to capital outflows and dampen sentiment.
Secondly, retail investor activity appears to be cooling. Trading volumes have declined compared to the high levels seen in February and March, when the market was filled with euphoria. Now, we are witnessing a period of cautious waiting. The "Fear and Greed Index" reflects this, hovering around neutral territory, indicating market indecision.
From a technical standpoint, analysts identify two key levels: strong resistance near $100,000 and a support zone around $90,000. As long as Bitcoin remains within this range, short-term traders are operating in a sideways market while longer-term investors remain on standby.
Beyond macroeconomic factors, crypto-specific developments will also influence BTC’s price. Important upcoming events—such as Ethereum’s upgrade, potential regulatory changes in the UK and Japan, and global crypto conferences—could all act as catalysts.
Institutional investors are another major factor. Companies like MicroStrategy continue to accumulate Bitcoin, adding confidence to the asset’s long-term outlook. If more institutions follow suit, Bitcoin could see increased demand and stronger bullish momentum.
In the near term, market participants are advised to stay cautious. Bitcoin may continue consolidating until a clear macro or market-specific catalyst emerges.
All in all, $94,000 is more than just a number. It represents a temporary equilibrium of forces—bullish and bearish. The question is not whether Bitcoin will move again, but when and in which direction.
Weekly analysis confirmation and continuation!!!Top-Down Analysis of the Image.
1. Macro Context: Asset Classes & Instruments
- USD & XAUUSD. The image focuses on two key financial instruments:
- USD.l Likely tracking the US Dollar Index (DXY) or a USD-paired asset.
- XAUUSD**: Gold priced in USD, a critical safe-haven commodity.
- Bearish Sentiment**: Both sections show descending price levels, indicating a broader market expectation of dollar strengthening and gold depreciation.
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2. USD Section: Price Structure & Anomalies*
- Key Levels**:
- Starts at 3,500.000 (potential resistance) and trends downward to 3,375.845*l (support).
- Notable mid-level dip at 3,462.199 , possibly a liquidation zone or failed breakout at 33:46
- Hypothesis : Time notation (e.g., 33 minutes and 46 seconds) for a specific trading session or chart timeframe.
- Hypothesis 2. Ratio (e.g., 33:46) for risk-reward or position sizing.
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3. XAUUSD Section: Gold’s Downward Trajectory
- **Declining Values**: From **3,324.476** to **3,238.854**, reflecting a **bearish technical breakdown**.
- **Purpose**: Likely marks **resistance levels** or **liquidation clusters** where sellers dominate.
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#### **4. Gold-Short/Un-Subtotal: Strategic Short-Selling Plan**
- **Uniform Decrements**: Values decrease by **40.000** increments (e.g., 3,160 → 3,120 → 3,080).
- **Interpretation**: Predefined **profit-taking levels** or **trailing stop-loss zones** for a short position.
- **Risk Management**: Structured steps suggest a disciplined exit strategy to lock in gains or mitigate losses.
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#### **5. Final Line: "May 4 7 9"**
- **Possible Meanings**:
- **Dates**: May 4, 7, and 9 could mark:
- Economic events (e.g., Fed meetings, NFP data).
- Expiry dates for options/futures contracts.
- Planned trade execution days.
- **Code**: Numeric shorthand for order IDs, time intervals (e.g., 04:07:09), or technical indicators.
---
### **Key Takeaways**
1. **Strategic Trade Setup**: The image outlines a **short-selling strategy for gold (XAUUSD)** with explicit price targets and risk parameters.
2. **Technical Focus**: Emphasis on descending levels highlights reliance on **technical analysis** (e.g., trendlines, Fibonacci retracements).
3. **Date-Driven Execution**: "May 4 7 9" suggests alignment with external catalysts or time-bound trade management.
4. **Risk Control**: Uniform decrements in the Gold-Short section reflect systematic profit-taking, reducing exposure to volatility.
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### **Recommendations for Further Analysis**
- Cross-reference the dates (May 4, 7, 9) with economic calendars to identify relevant events.
- Validate the "33:46" notation against historical price action or trading session hours.
- Assess whether the USD levels correlate with DXY or a specific USD pair (e.g., EURUSD).
This structured approach aligns with a trader’s playbook, combining technical levels, time-based triggers, and disciplined risk management.
A 3-Step Process For Analytical SuccessIn this video I go through the 3-step process of implementing a Bias, Narrative, and Model.
This process was a game-changer for me when it came to analysis, as well as taking actual trades. It considered high-probability targets, patience in waiting for traders to coming for me, and the calm of being prepared when it was time to take an entry. It filters out pointless trades, because if I don't have Bias, then I can't have a Narrative, and if I don't have a Narrative, then I don't have a Model.
I use ICT concepts, but this process works equally well for most other methodologies that aren't completely mechanical and algorithmic.
I give a real example of a trade I took yesterday on EURUSD where I utilized this 3-step process to frame a trade.
I hope you find this video insightful and gives you more clarity in your trading!
- R2F Trading
Session Realtime BarJust an idea for better visuals, use 2 of the SessionBar indicator on the chart use the spacing setup with the active bar to the left of the overnight bar in the other indicator...
One indicator for the Active Session Bar: indicating the current session bar.
2nd indicator for the Overnight Session Bar: indicating the overnight session bar.
From Tulips to Tech: The Evolution of Financial Bubbles 🎯 Introduction:
financial/economic bubbles are a recurring theme in economic history, this is often when a particular financial asset goes to unrealistic price levels often making money for early investors but usually these high price levels do not match their fundamental value this is then followed by a large public participation who also want a piece of the pie eventually with the price collapsing or sharply declining blowing or living investors in a large financial loss..
From 17th-century tulip gardens to 21st-century crypto manias, one thing has remained constant: Humans never learn.
Every generation thinks this time is different — but the pattern of bubbles keeps repeating.
Here's the crash course in 400 years of financial euphoria, panic, and pain.
🧠 Section 1: 1637 — Tulip Mania 🌷
The original bubble.
In the Netherlands, rare tulip bulbs were worth more than houses.
Prices exploded... then collapsed 90% in a matter of weeks.
Lesson: Speculation + FOMO is not new. Humans were flipping flowers before they flipped crypto.
Mini Nerd Tip:
"When people stop caring about value and only care about price rising, watch out."
🧠 Section 2: 1720 — South Sea Bubble 📜
Britain’s South Sea Company promised massive profits trading with South America (but barely did any business).
Politicians and aristocrats pumped the stock price.
Collapsed spectacularly → ruined many fortunes (including Isaac Newton himself:
"I can calculate the motion of heavenly bodies, but not the madness of men.")
Mini Nerd Tip:
"If a bubble needs government help to stay alive, it's already dying."
🧠 Section 3: 1929 — Wall Street Crash 🏛️
Roaring 20s: endless optimism, cheap margin loans, "stocks only go up!"
1929: Stock market crashed, triggering the Great Depression.
People were buying stocks with 10% down and gambling recklessly.
Mini Nerd Tip:
"When leverage is everywhere, the smallest panic causes waterfalls."
🧠 Section 4: 2000 — Dotcom Bubble 💻
Everyone thought the internet would change everything (it did — but slower and differently).
Companies with no profits were valued in billions.
"Eyeballs" were treated as real revenue.
NASDAQ lost 78% from top to bottom.
Mini Nerd Tip:
"Innovation creates real value... but hype inflates fake value faster."
🧠 Section 5: 2008 — Housing Bubble 🏡
Banks handed out mortgages to anyone.
Financial engineering (CDOs, synthetic MBS) created the illusion of safety.
US housing prices collapsed → global financial crisis.
"Too Big to Fail" became the famous phrase.
Mini Nerd Tip:
"If everyone is getting rich easily, someone is lying or blind."
🧠 Section 6: 2017/2021 — Crypto & Meme Stocks 🚀
Gamestop, Dogecoin, NFTs, Shiba Inu — the wildest "everyone’s a genius" market since the 1920s.
Social media + free apps = amplified bubble speed.
Massive rises, insane collapses.
Mini Nerd Tip:
"Technology changes, human emotion doesn’t."
🧠 Final Section: Why Bubbles Will Never End
Greed, fear, and FOMO are timeless.
Every era dresses up bubbles in new clothes (flowers, sea companies, internet, crypto).
Smart traders understand this pattern — and use it to survive and thrive.
"**Bubbles don't pop because of bad assets. They pop because confidence disappears
put together by : Pako Phutietsile as @currencynerd
courtesy of : @TradingView
Mastering Order Blocks: How to Trade Like Smart MoneyIntroduction
Order Blocks (OBs) are one of the most critical concepts in Smart Money trading. They represent areas where institutional traders have entered the market with significant volume, typically leading to strong price movements. Identifying and trading Order Blocks gives traders an edge by aligning with the footprints of Smart Money.
What is an Order Block?
An Order Block is the last bearish candle before a bullish move for bullish OBs, or the last bullish candle before a bearish move for bearish OBs. These candles represent areas where institutions accumulated or distributed large positions, leading to a market shift.
Types of Order Blocks
A Bullish Order Block appears at the end of a downtrend or during a retracement just before the price moves sharply upward. It is typically represented by the last bearish candle prior to an impulsive bullish move. Price will often return to this level to mitigate institutional orders before continuing upward.
A Bearish Order Block, in contrast, forms at the end of an uptrend or retracement where price begins a downward reversal. It is characterized by the last bullish candle before a strong bearish move. Price tends to revisit this level to mitigate before continuing lower.
How to Identify a Valid Order Block
The key to identifying a valid Order Block is first observing a strong impulsive move, also known as displacement, that follows the OB candle. The move must also result in a break of market structure or a significant shift in direction. Order Blocks that produce Fair Value Gaps (FVGs) or Market Structure Shifts (MSS) tend to be more reliable. Another important sign is when price returns to the OB for mitigation, offering a potential entry.
Entry Model Using Order Blocks
After locating a valid OB, the next step is to wait for price to return to this area. The ideal entry happens within the OB body or near its 50% level. For extra confirmation, look for a Market Structure Shift or Break of Structure on a lower timeframe. Entries are more powerful when combined with additional elements like Fair Value Gaps, liquidity grabs, or SMT Divergences. The stop-loss should be placed just beyond the OB’s high or low, depending on the direction of the trade.
Refinement Techniques
To increase precision, higher timeframe OBs can be refined by zooming into lower timeframes like the 1M or 5M chart. Within a broad OB zone, identify internal market structure, displacement candles, or embedded FVGs to determine a more precise entry point. One effective refinement is the Optimal Trade Entry (OTE), which is often found at the 50% level of the Order Block.
Order Blocks vs. Supply and Demand Zones
While they may seem similar, Order Blocks are more narrowly defined and specifically related to institutional order flow. Supply and Demand zones are broader and typically drawn around areas of price reaction, but OBs are derived from the final institutional candle before a large move and are often confirmed by structure shifts or displacement. This makes OBs more precise and actionable in the context of Smart Money concepts.
Target Setting from Order Blocks
Targets after entering from an OB should align with liquidity objectives. Common targets include internal liquidity like equal highs or lows, or consolidation zones just beyond the OB. External liquidity targets such as previous major swing highs or lows are also ideal, especially when they align with imbalances or Fair Value Gaps. It's important to adjust targets based on the current market structure and trading session.
Common Mistakes to Avoid
A frequent mistake is treating any candle before a move as an OB without verifying key signals like displacement or a Break of Structure. Entering without other confirmations, such as an MSS or liquidity sweep, can lead to poor trades. Another common error is placing the stop-loss too tightly within the OB, instead of just beyond it, increasing the chance of premature stop-outs. Traders should also avoid executing OB trades during low-liquidity sessions where price action can be unpredictable and wicky.
Final Thoughts
Order Blocks are foundational to Smart Money trading. They allow you to enter where institutions have placed large positions and offer clear invalidation and entry logic. With practice, you can identify high-quality OBs and combine them with other concepts like FVGs, MSS, and SMT for powerful, precise trades.
Practice on different timeframes and assets, and always look for clean displacement and structure confirmation. Mastering OBs is a big step toward becoming a consistently profitable trader.
Trust the Blocks. Trade with Intention.