when Jerome says spike, the markets asks how low/high"Watch what they do, but also how they say it."
In the high-stakes world of central banking, few things move markets like the subtle wording of a Fed statement, But beyond the headlines and soundbites, one market absorbs this information faster—and with greater clarity—than almost any other: the bond market.
💬 What Is "Fed Speak"?
"Fed speak" refers to the nuanced and often deliberately vague language used by U.S. Federal Reserve officials when communicating policy expectations. It includes:
FOMC statements
Dot plot projections
Press conferences
Individual speeches from Fed officials
nerdy tip: the Fed aims to influence expectations without committing to specific outcomes, maintaining flexibility while steering market psychology.
📈 The Bond Market as a Decoder
The bond market, particularly the U.S. Treasury market, is where real-time interpretation of Fed policy plays out. Here's how it typically reacts:
1. Short-Term Yields (2Y, 3M) = Fed Expectation Barometer
These are the most sensitive to near-term interest rate expectations. If the Fed sounds hawkish (more rate hikes), short-term yields jump. If dovish (hinting cuts), they fall. At the May 7, 2025 FOMC meeting, the 2-year Treasury yield (US02Y) experienced a modest but clear reaction:
Just before the release, yields were hovering around 3.79%.
In the first hour following the 2:00 PM ET (20:00 UTC+2) statement, the yield ticked up by approximately +8 basis points, temporarily reaching about 3.87%.
Later that day, it eased back to around 3.79%, ending the day roughly unchanged—a sharp, immediate spike followed by a reversion.
2. Long-Term Yields (10Y, 30Y) = Growth + Inflation Expectations
Longer-dated yields reflect how the market sees the economy unfolding over time. After a Fed speech:
Rising long-term yields = stronger growth/inflation expected
Falling yields = fears of recession, disinflation, or policy over-tightening
3. The Yield Curve = Market's Policy Verdict
One of the best tools to read the bond market's verdict is the yield curve—specifically, the spread between 10Y and 2Y yields.
Steepening curve → Market thinks growth is picking up (Fed may be behind the curve)
Flattening or Inversion → Market believes the Fed is too aggressive, risking a slowdown or recession
📉 Example: After Jerome Powell’s hawkish Jackson Hole speech in 2022, the 2Y-10Y spread inverted deeply—markets were pricing in recession risks despite a strong Fed tone.
🧠 Why Traders Must Watch Bonds After Fed Speak
🪙 FX Traders:
Higher yields = stronger USD (carry trade advantage)
Falling yields = weaker USD (lower return for holding)
📈 Equity Traders:
Rising yields = pressure on tech/growth stocks (higher discount rates)
Falling yields = relief rally in risk assets
📊 Macro Traders:
The MOVE Index (bond volatility) often spikes around FOMC events
Forward guidance shifts = big rotation opportunities (e.g., bonds > gold > dollar)
(BONUS NERDY TIP) 🔍 How to Analyze Fed Speak Through Bonds
✅ Step 1: Watch the 2Y Yield
First responder to new rate expectations.
✅ Step 2: Check the Fed Funds Futures
Compare market pricing pre- and post-statement.
✅ Step 3: Look at Yield Curve Movement
Steepening or inversion? That’s the market’s macro take.
✅ Step 4: Track TLT or 10Y Yield on Your Chart
Bond ETFs or Treasury yields reveal sentiment instantly.
🧭 Final Nerdy Thought : Bonds React First, Talk Later
When the Fed speaks, don't just read the words. Read the yields. The bond market is often the first to interpret what the Fed really means—and the first to price in what comes next.
So next FOMC meeting, instead of watching only Powell’s facial expressions or CNBC pundits, open a chart of the 2Y and 10Y. That’s where the smart money’s listening.
put together by : @currencynerd as Pako Phutietsile
courtesy of : @TradingView
Community ideas
Most Traders React to Markets. The Best Anticipate Them.Most Traders React to Markets. The Best Anticipate Them.
Hard truth:
You're always one step behind because you trade reactively.
You can’t win a race if you're always responding to moves already made.
Here's how reactive trading burns your edge:
- You chase breakouts after they've happened, entering at the peak.
- You panic-sell into downturns because you didn't anticipate.
- You miss major moves because you're looking backward, not forward.
🎯 The fix?
Develop anticipatory trading habits. Identify scenarios in advance, set clear triggers, and act decisively when probabilities align - not after the market confirms.
TrendGo provides structure for anticipation - not reaction.
🔍 Stop responding, start anticipating. Your account will thank you.
Re-defining Trading Psychology: A Functional ApproachRethinking Trading Psychology: A Functional Definition
Trading psychology is often misunderstood or overly simplified in trading discourse. Psychology, by definition, is the scientific study of the mind and behavior. When applied to trading, trading psychology should be defined as the study of how our mental processes directly influence market structure through behavior—specifically through the act of placing trades.
The Facts: How Humans Influence the Market
Traders interact with the market in only a few meaningful ways:
Placing entries
Setting stop losses
Setting take-profit (target) levels
Though external variables such as news events can impact decision-making, they only affect where we choose to interact with the market—they do not directly move price. Price only responds to order flow , and all order flow originates from trader decisions. Therefore, these three actions—entries, stops, and targets—are the only real mechanisms through which psychology influences price action.
Entry: The Initiator of Market Movement
Entries are typically based on structural cues like engulfing candles or order blocks —price zones where a shift in momentum is visible. These areas act as high-probability triggers that prompt traders to take action in a particular direction.
When enough buy orders are placed at a bullish signal, we see that reflected in the strength and size of bullish candles. Conversely, strong bearish signals generate concentrated sell-side pressure. This collective order flow initiates price movement—entries are the impulse drivers of the market.
Stop Losses: The Creation of Liquidity Pools
Once a position is opened, traders generally place stop losses behind significant structure—often just beyond the order block or engulfing pattern that prompted the entry. These zones become liquidity pools —clusters of pending orders that, when triggered, cause mass exits and reallocation of capital.
When price returns to these zones, it forces traders out of the market, often resulting in sharp movements or false breakouts. This behavior is not coincidental; it is a byproduct of shared psychological behavior manifesting as clustered risk management.
Take-Profits: Delayed Exit Pressure
Alongside stop losses, traders also define target levels where they plan to close their trades. These levels can be calculated based on fixed R-multiples (2R, 3R, etc.) or drawn from contextual zones like previous highs/lows or supply and demand areas.
As price moves into profit and hits these levels, traders begin to exit en masse. This diminishes order flow in the direction of the trade, often leading to hesitation or minor reversals—much like stop losses do when they are hit.
Conclusion: Market Movement vs. Market Stalling
To summarize:
Entries drive market movement
Stop losses and target levels stall or reverse movement
This dynamic defines how human behavior—guided by psychological patterns—actually shapes price. In this framework, engulfments represent entry logic , while liquidity zones represent collective exit logic .
Redefining Trading Psychology
Contrary to popular belief, trading psychology isn’t just about “staying disciplined” or “keeping emotions in check.” While emotional control matters, it’s secondary to understanding how trader behavior creates cause-and-effect loops in price action.
Having a trading plan is important—but deviating from that plan is not always due to emotion alone. It can stem from overconfidence, impulsivity, cognitive bias, or poor conditioning. These are psychological behaviors that affect execution, and thus, affect market movement.
What’s Next
In my next writing, I will explore how the sheer volume of market participants leads to herding behavior —the collective patterns that emerge from mass psychology and their role in creating consolidation zones, liquidity traps, and false breakouts.
Circle’s IPO and the Crypto Listing Wave: The Market EntersOn June 14, 2025, the U.S. stock market witnessed a pivotal moment for the crypto industry. Circle, issuer of the USDC stablecoin and a major player in the sector, successfully went public. Shares opened at $31 and soared to over $134 by the end of the first trading day—an explosive 330% gain.
This isn’t just a one-off success. It marks the beginning of a new chapter: the public crypto era, where leading crypto companies are stepping into the spotlight of traditional finance.
Why It Matters
Circle’s IPO signals the maturation of the crypto market. Just three years ago, crypto companies were seen as high-risk, unregulated tech startups. Now, they’re structured fintech firms with clear business models, institutional backing, and regulatory compliance.
Who’s Next in Line
Following Circle, a wave of major crypto firms is preparing for their own IPOs:
eToro – the social trading platform with crypto features has finalized its SPAC merger and is set to debut on NASDAQ.
Gemini – the exchange founded by the Winklevoss twins filed for an IPO in mid-May.
Galaxy Digital and Ripple – both confirmed listing plans for the second half of 2025.
Kraken is exploring a listing in Europe, where requirements are more flexible than in the U.S.
These companies are waiting for the right moment—regulatory clarity, growing interest in crypto ETFs, and progress in U.S. Congress (with the CLARITY and GENIUS bills gaining momentum).
What It Means for the Industry
Increased Investor Trust – Public companies must disclose financials, pass audits, and comply with regulations. This builds confidence in the broader crypto sector.
Institutional Capital Inflow – IPOs unlock access to capital from pension funds, hedge funds, and asset managers that cannot invest in private crypto startups.
Marketing Power – Going public draws media attention and boosts brand awareness. Every IPO is a PR win for the entire industry.
Risks and Challenges
Regulatory Uncertainty – Despite progress, the SEC could change direction, especially with potential political shifts.
Overvaluation Concerns – Circle’s stock is already raising eyebrows, with a P/E ratio over 200 and trading volume growing faster than revenue.
Crypto Market Dependency – If crypto prices crash, the valuations of these companies could quickly collapse.
What’s Next
Expect up to 10 more crypto IPOs over the next 6–12 months, including players in DeFi, blockchain infrastructure, and Web3. This is the next stage in crypto’s journey toward mainstream legitimacy.
What was once the domain of tech rebels and early adopters is now becoming a business—with a stock ticker and quarterly earnings. And that changes everything.
BTCUSD: Decoding the Price Action Through "Tape Reading"🚀 BTCUSD: Decoding the Price Action Through "Tape Reading" 🚀
Hey Traders,
Let's dive into a "tape reading" analysis of BTCUSD, breaking down the recent price movements and looking ahead. We've seen some fascinating patterns emerge, and understanding them could be key to our next moves.
🔍 A Look Back: The Bullish Flag Formations 🔍
Our journey begins on April 7th, 2025, with the establishment of a strong "Flag Pole" at $74,489.00. This was supported by a robust double bottom, setting the stage for what was to come.
First "Flag" Confirmation: We saw the first "Flag" form, confirmed by a powerful "Hammer" candle on April 20th, 2025. This Hammer, with its unique "bottom-less Marubozu" body, signaled significant underlying strength.
Second "Flag" Confirmation: Another "Flag" emerged, solidified by strong multi-day bottom support around $94,791.00. This resilience suggested continued upward momentum.
The Breakout: On May 8th, 2025, BTCUSD surged, breaking out of its previous patterns and entering a new "flag pole" formation.
Third "Flag" & All-Time High: May 15th, 2025, brought the third "Flag" formation, again supported by a "Hammer" and a bullish Marubozu. This momentum culminated in a breach of the $105,770.00 multi-month price level on May 20th, 2025, breaking the previous all-time high from December 17th, 2024! We then rocketed to a new all-time high of $112,000.
📉 Recent Developments: The Downtrend and Key Levels 📉
Since the all-time high, we've started to experience a shift:
Downtrend Begins: A downtrend initiated around May 22nd, 2025.
High-Low Formations: We observed a second high-low formation on May 27th, 2025, followed by another on June 9th, 2025.
Double Top & Hanging Man: A clear double top formation emerged, further supported by a "Hanging Man" candle on June 10th, 2025.
🔮 What's Next? The Critical Close 🔮
Today's candle close is absolutely paramount! As of now, the candle is still forming, but my current read suggests a potential move to fill the wick of the June 13th, 2025, "Hammer" candle.
The direction BTCUSD takes – North or South – will largely be dictated by how today's candle closes. This will be our prime dominant signal.
Monthly Candle Perspective:
Interestingly, the Monthly candle is showing similar "Flag" patterns. Check out the chart here for a broader perspective:
Let me know your thoughts in the comments below! Are you seeing the same patterns?
Trade safe!
_________________________________________________________________________________
⚠️ Disclaimer: This post is educational content and does not constitute investment advice, financial advice, or trading recommendations. The views expressed here are based on technical analysis and are shared solely for informational purposes. The stock market is subject to risks, including capital loss, and readers should exercise due diligence before investing. We do not take responsibility for decisions made based on this content. Consult a certified financial advisor for personalized guidance.
Iran-Israel Political Tension & End of Crypto marketDo geopolitical tensions truly cause markets to crash or pump?
In a world where financial safety is more fragile than ever, how do traders react?
This analysis dives deep into how pro traders think and act during critical moments.
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on Bitcoin:
Bitcoin is experiencing a fear-driven shock amid escalating geopolitical tensions, triggering potential downside volatility toward the $98K level 📉. Despite this risk-off sentiment, the broader market structure remains intact, and I maintain a bullish bias. A recovery from key support zones could pave the way for a renewed breakout above $100K in the mid-term .
Now , let's dive into the educational section,
🧠 Fear, Safety or Opportunity? Trading Psychology in Crisis 🧨
Markets don’t move based on headlines—they move based on how the crowd feels about those headlines. Political tension triggers emotional responses, especially panic selling.
However, experienced traders spot opportunities while others flee.
In such moments, two emotional extremes dominate:
🔸 Fear of losing capital (FUD)
🔸 Greed to seize a rare opportunity (FOMO)
Both are dangerous if uncontrolled. Tools like RSI and Fear & Greed Index (via external APIs) can provide rough estimates of market sentiment and potential turning points.
📊 Practical TradingView Tools for Analyzing Crisis-Driven Markets 🔍
When global tension spikes, the markets reflect collective emotion like a mirror. During uncertain times, smart traders rely on tools that turn raw data into sharp insights. TradingView provides several features that become extremely useful in times of high uncertainty:
1. Crypto Volatility Index Proxy (using ATR + Bollinger Bands)
These indicators help detect when the market is driven more by fear than logic. They show increasing volatility levels as tensions rise.
2. Sentiment Indicators – Funding Rate & Long/Short Ratios
These metrics, pulled from major exchanges, show whether traders are overly bullish or bearish. A sudden imbalance usually hints at insider expectations or fast-breaking news.
3. DXY and Gold (XAUUSD) Side-by-Side with BTC
Analyzing Bitcoin’s performance alongside USD and gold gives insight into whether investors are going risk-off or seeking crypto as a hedge.
4. Volume-Based Indicators – OBV & Volume Profile
While headlines can lie, volume doesn’t. These tools highlight areas of serious buying/selling interest and help identify where smart money enters or exits.
5. Multi-Chart Layout Feature
TradingView allows you to analyze multiple assets together—BTC, gold, oil, and stock indices like S&P 500—on one screen. Perfect for understanding macro capital flow during geopolitical events.
💣 Interconnected Markets During Regional Conflict 🌍
Crypto often acts like a risk-on asset during global crises. If traditional markets fall, Bitcoin may follow—unless it’s being viewed as a safe haven.
That’s why watching DXY, gold, and oil charts alongside BTC is crucial.
Understanding these correlations using TradingView’s comparison features gives you a better sense of where capital is flowing during uncertain times.
⏳ What Traders Should Focus on in Crisis Mode 💼
1. Focus on chart confirmations, not news hype.
2. Use multi-dimensional analysis with TradingView.
3. Prioritize risk management more than ever.
4. Cash is a position. Sometimes the best move is no move.
5. Always have a backup scenario—no analysis is guaranteed.
📌 Final advice:
When headlines play with your nerves, data becomes your best ally.
With the right tools and a disciplined mindset, traders can navigate even the stormiest markets with confidence.
The market rewards the calm, not the reckless.
✨ Need a little love!
We put so much love and time into bringing you useful content & your support truly keeps us going. don’t be shy—drop a comment below. We’d love to hear from you! 💛
Big thanks,
Mad Whale 🐋
📜Please remember to do your own research before making any investment decisions. Also, don’t forget to check the disclaimer at the bottom of each post for more details.
Wyckoff Up-Thrust - This is how to identify using Speed indexClassic Wyckoff Up-Thrust formation, this is how to read it using Speed Index (annotations in sync with the chart):
1. Fib Area - this is where sellers might come in
2. FU - Fast Up wave with SI 0.4F
3. Next up wave with an abnormal SI of 1.0S while the average speed at 0.5, which means price has a hard time to move up (more sellers on the up move). Following the up wave on the down move we have double Short signals WU-Wyckoff Up-Thrust and PRS-Plutus Reversal Short and this where we enter.
I hope this was helpful. Enjoy!
Learn 6 Common Beginner Trading Mistakes (FOREX, GOLD)
In the today's post, we will discuss very common beginner's mistakes in trading that you should avoid.
1. No trading plan 📝
That is certainly the TOP 1 mistake. I don't know why it happens but 99% of newbies assume that they don't need a trading plan.
It is more than enough for them to watch a couple of educational videos, read some books about trading and Voilà when a good setup appears they can easily recognize and trade it without a plan.
Guys, I guarantee you that you will blow your trading account in maximum 2 months if you keep thinking like that. Trading plan is the essential part of every trading approach, so build one and follow that strictly.
2. Overtrading 💱
That mistake comes from a common newbies' misconception: they think that in order to make money in trading, they should trade a lot. The more they trade, the higher are the potential gains.
The same reasoning appears when they choose a signal service: the more trades a signal provider shares, the better his signals are supposed to be.
However, the truth is that good trades are very rare and your goal as a trader is to recognize and trade only the best setups. While the majority of the trading opportunities are risky and not profitable.
3. Emotional trading 😤
There are 2 ways to make a trading decision: to make it objectively following the rules of your trading plan or to follow the emotions.
The second option is the main pick of the newbies.
The intuition, fear, desire are their main drivers. And such an approach is of course doomed to a failure.
And we will discuss the emotional trading in details in the next 2 sections.
4. Having no patience ⏳
Patience always pays. That is the trader's anthem.
However, in practice, it is extremely hard to keep holding the trade that refuses to reach the target, that comes closer and closer to a stop loss level, that stuck around the entry level.
Once we are in a trade, we want the price to go directly to our goal without any delay. And the more we wait, the harder it is to keep waiting. The impatience makes traders close their trades preliminary, missing good profits .
5. Greed 🤑
Greed is your main and worst enemy in this game.
It will pursue you no matter how experienced you are.
The desire to get maximum from every move, to not miss any pip of profit, will be your permanent obstacle.
Greed will also pursue you after you close the profitable trades. No matter how much you win, how many good winning trades you catch in a row, you always want more. And that sense main lead you to making irrational, bad trading decision.
6. Big Risks 🛑
Why to calculate lot size for the trade?
Why even bother about risk management?
These are the typical thoughts of the newbies.
Newbie traders completely underestimate the risks involved in trading and for that reason they are risking big.
I heard so many times these stories, when a trading deposit of a trader is wiped out with a one single bad trade.
Never ever risk big, especially if you just started.
Start with a very conservative approach and risk a tiny little portion of your trading account per trade.
Of course there are a lot more mistakes to discuss.
However, the ones that I listed above at the most common
and I am kindly recommending you to fix them before you start trading with a substantial amount of money.
❤️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.
Intraday Gold Trading System with Neural Networks: Step-by-Step________________________________________
🏆 Intraday Gold Trading System with Neural Networks: Step-by-Step Practical Guide
________________________________________
📌 Step 1: Overview and Goal
The goal is to build a neural network system to predict intraday short-term gold price movements—typically forecasting the next 15 to 30 minutes.
________________________________________
📈 Step 2: Choosing Indicators (TradingView Equivalents)
Key indicators for intraday gold trading:
• 📊 Moving Averages (EMA, SMA)
• 📏 Relative Strength Index (RSI)
• 🌀 Moving Average Convergence Divergence (MACD)
• 📉 Bollinger Bands
• 📦 Volume Weighted Average Price (VWAP)
• ⚡ Average True Range (ATR)
________________________________________
🗃 Step 3: Data Acquisition (Vectors and Matrices)
Use Python's yfinance to fetch intraday gold data:
import yfinance as yf
import pandas as pd
data = yf.download('GC=F', period='30d', interval='15m')
________________________________________
🔧 Step 4: Technical Indicator Calculation
Use Python’s pandas_ta library to generate all required indicators:
import pandas_ta as ta
data = ta.ema(data , length=20)
data = ta.ema(data , length=50)
data = ta.rsi(data , length=14)
macd = ta.macd(data )
data = macd
data = macd
bbands = ta.bbands(data , length=20)
data = bbands
data = bbands
data = bbands
data = ta.atr(data , data , data , length=14)
data.dropna(inplace=True)
________________________________________
🧹 Step 5: Data Preprocessing and Matrix Creation
Standardize your features and shape data for neural networks:
from sklearn.preprocessing import StandardScaler
import numpy as np
features =
scaler = StandardScaler()
data_scaled = scaler.fit_transform(data )
def create_matrix(data_scaled, window_size=10):
X, y = ,
for i in range(len(data_scaled) - window_size - 1):
X.append(data_scaled )
y.append(data .iloc )
return np.array(X), np.array(y)
X, y = create_matrix(data_scaled, window_size=10)
________________________________________
🤖 Step 6: Neural Network Construction with TensorFlow
Use LSTM neural networks for sequential, time-series prediction:
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense, Dropout
model = Sequential( , X.shape )),
Dropout(0.2),
LSTM(32, activation='relu'),
Dense(1)
])
model.compile(optimizer='adam', loss='mse')
________________________________________
🎯 Step 7: Training the Neural Network
history = model.fit(X, y, epochs=50, batch_size=32, validation_split=0.2)
________________________________________
📊 Step 8: Evaluating Model Performance
Visualize actual vs. predicted prices:
import matplotlib.pyplot as plt
predictions = model.predict(X)
plt.plot(y, label='Actual Price')
plt.plot(predictions, label='Predicted Price')
plt.xlabel('Time Steps')
plt.ylabel('Gold Price')
plt.legend()
plt.show()
________________________________________
🚦 Step 9: Developing a Trading Strategy
Translate predictions into trading signals:
def trade_logic(predicted, current, threshold=0.3):
diff = predicted - current
if diff > threshold:
return "Buy"
elif diff < -threshold:
return "Sell"
else:
return "Hold"
latest_data = X .reshape(1, X.shape , X.shape )
predicted_price = model.predict(latest_data)
current_price = data .iloc
decision = trade_logic(predicted_price, current_price)
print("Trading Decision:", decision)
________________________________________
⚙️ Step 10: Real-Time Deployment
Automate the model for live trading via broker APIs (pseudocode):
while market_open:
live_data = fetch_live_gold_data()
live_data_processed = preprocess(live_data)
prediction = model.predict(live_data_processed)
decision = trade_logic(prediction, live_data )
execute_order(decision)
________________________________________
📅 Step 11: Backtesting
Use frameworks like Backtrader or Zipline to validate your strategy:
import backtrader as bt
class NNStrategy(bt.Strategy):
def next(self):
if self.data.predicted > self.data.close + threshold:
self.buy()
elif self.data.predicted < self.data.close - threshold:
self.sell()
cerebro = bt.Cerebro()
cerebro.addstrategy(NNStrategy)
# Add data feeds and run cerebro
cerebro.run()
________________________________________
🔍 Practical Use-Cases
• ⚡ Momentum Trading: EMA crossovers, validated by neural network.
• 🔄 Mean Reversion: Trade at Bollinger Band extremes, validated with neural network predictions.
• 🌩️ Volatility-based: Use ATR plus neural net for optimal entry/exit timing.
________________________________________
🛠 Additional Recommendations
• Frameworks: TensorFlow/Keras, PyTorch, scikit-learn
• Real-time monitoring and risk management are crucial—use volatility indicators!
________________________________________
📚 Final Thoughts
This practical guide arms you to build, deploy, and manage a neural network-based intraday gold trading system—from data acquisition through backtesting—ensuring you have the tools for robust, data-driven, and risk-managed trading strategies.
________________________________________
It Wasn’t on a Chart. It Was in My JournalYou don’t become consistent by learning more setups. You become consistent by learning more about yourself.
✍️ The Day I Started Journaling, I Stopped Guessing
I used to chase charts like they owed me something.One moment I was confident. The next, I was doubting everything, not because the market betrayed me, but because I wasn’t keeping track of who I was becoming .
Then I started journaling.
Not just logging wins and losses, but writing what I felt, what I saw, where I rushed, and why I broke my own rules. It changed everything.
What Journaling Gave Me (That Charts Alone Couldn’t)
1. Clarity Over Chaos
Every trade became a lesson. I stopped reacting and started reviewing.
2. Accountability Over Emotion
Writing “I entered out of fear of missing out” hits different when you see it five times in a row. I couldn’t lie to myself anymore.
3. Discipline Over Drama
No more revenge trades. No more “just one more” trades. Journaling made me pause, and that pause saved me more than any setup ever could
It’s Not Just a Journal. It’s a Mirror.
Most traders document price. Few document themselves. And yet that’s where the edge lives, not in more indicators, but in more self-awareness.
My Advice to Any Trader Trying to Break Through
Don’t just journal for results . Journal to understand who you are in the market. Your wins will mean more, and your losses will teach more. And if you're consistent with it, your growth won’t just be measurable. It’ll be undeniable.
The best setups won’t save you if your mindset is undisciplined.And the best mentors can’t help you if you don’t study your own patterns.
Journaling isn’t just about logging trades.It’s about documenting your evolution as a trader, from reactive to intentional, from hopeful to professional. So, if you’re serious about growth: Don’t just screenshot your wins, start writing your journey. That’s where the edge really begins.
Mitigation Block in Forex Trading: What It Is and How to Use It?What a Mitigation Block Is, and How You Can Use It When Trading Forex?
Understanding specific market mechanisms like mitigation blocks may enhance strategic decision-making. This article delves into the concept of mitigation blocks, detailing their definition, function, and practical application within forex.
Definition and Function of a Mitigation Block
A mitigation block in forex trading refers to a specific order block on a chart that indicates where previous movements have stalled and reversed, marking it as a potential area for future market turns. This concept within the Smart Money framework is crucial for traders looking to manage their positions by taking advantage of strategic entry and exit points.
The idea behind these areas is rooted in the dynamics of supply and demand within forex. When a currency pair reaches a level where buyers or sellers have previously entered the market in force, causing a reversal, it suggests a potential repeat of such actions when the price returns to the area.
Characteristics and How to Identify a Mitigation Block
Mitigation blocks can be bullish or bearish, each with distinct characteristics:
- Bearish Mitigation Block: This type forms during an uptrend and is identified by a significant peak followed by a decline and a failed attempt to reach or surpass the previous high, creating a lower high. When prices drop below the previous low, the order block above the low becomes mitigation. It may be characterised by an increase in selling volume as the price approaches the level, signalling resistance and a potential downward reversal.
- Bullish Mitigation Block: Conversely, a bullish type is established during a downtrend. It is characterised by a significant trough, followed by a rise to form a higher low, and a failure to drop below the previous low. As the pair moves up, the order block below the high marks mitigation one. This area often shows an increase in buying volume as the price approaches, indicating support and a potential upward reversal.
Mitigation Block vs Breaker Block
Mitigation and breaker blocks are both significant in identifying potential trend reversals in forex trading, but they have distinct characteristics that set them apart. A mitigation block forms after a failure swing, which occurs when the market attempts but fails to surpass a previous peak in an uptrend or a previous trough in a downtrend. The pattern indicates a loss of momentum and a potential reversal as the price fails to sustain its previous direction.
On the other hand, a breaker block is characterised by the formation of a new high or low before the market structure is broken, indicating that liquidity has been taken. This means that although the trend initially looked set to continue, it quickly reverses and breaks structure.
In effect, a breaker appears when the market takes liquidity beyond a swing point before reversing the trend. A mitigation appears when the price doesn’t move beyond the trend’s most recent high or low, instead plotting a lower high or higher low before reversing the trend.
How to Use Mitigation Blocks in Trading
Areas of mitigation in trading can be essential tools for identifying potential trend reversals and entry points. When they align with a trader's analysis that anticipates a reversal at a certain level, it can serve as a robust confirmation for entry.
Traders can effectively utilise these zones by simply placing a limit order within the area once it is considered valid. Validation occurs after a new peak or trough is established following the initial failure swing that forms the mitigation area.
If a liquidity void or fair-value gap is present, the trader may look for such a gap to be filled before their limit order is triggered, potentially offering a tighter entry. Stop losses might be placed beyond the failure swing or the most extreme point.
Furthermore, if a mitigation block is identified on a higher timeframe, traders can refine their entry by switching to a lower timeframe. This approach allows for a tighter entry point and potentially better risk management, as it offers more granular insight into the momentum around the area.
Common Mistakes and Limitations
While these blocks are valuable for forex trading, they come with potential pitfalls and limitations that traders should know.
- Overreliance: Relying solely on mitigation blocks without corroborating with other trading indicators can lead to misjudged entries and exits.
- Ignoring Context: Using these zones without considering the broader market conditions may result in trading against a prevailing strong trend.
- Misinterpretation: Incorrect identification can lead to erroneous trading decisions, especially for less experienced traders.
- False Signals: Mitigation blocks can sometimes appear to signal a reversal but instead lead to a continuation of the trend, trapping traders in unfavourable positions.
The Bottom Line
Understanding mitigation blocks offers traders a strategic edge in navigating the forex market. They can be vital for recognising potential price reversals and improving trading outcomes.
FAQs
What Is a Mitigation Block?
A mitigation block in forex trading is an order block that identifies potential reversal points. It signals where a currency pair has previously stalled, indicating strong buying or selling pressure, suggesting a potential for similar reactions in future encounters with these levels.
How Do You Identify a Mitigation Block?
Mitigation blocks are identified by analysing charts for areas where previous highs or lows were not surpassed, leading to a reversal. Traders look for a sequence of movements, including a swing high or low followed by a retracement that fails to exceed the previous swing.
What Is the Difference Between a Breaker Block and a Mitigation Block?
While both indicate potential reversals, a breaker block forms when the price makes a new high or low before reversing, suggesting a temporary continuation of the trend. In contrast, a mitigation block forms without creating a new extreme, indicating a direct loss of momentum and an immediate potential for reversal.
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.
#AN007: Israel Attacks Iran, What's Happening? in Forex
Hello, I'm Forex Trader Andrea Russo, creator of the SwipeUP Elite FX Method, which allows me to analyze and operate in the Forex world as if I were a Hedge Fund or an Investment Bank. Today I want to talk to you about the relevant news of the last few hours, namely Israel's attack on Iran.
⚠️ What happened
Israel launched a massive preemptive air strike on numerous nuclear and military installations in Iran, including sites in Tehran and Natanz. Among the victims were key figures such as Revolutionary Guard commander Hossein Salami and several high-profile nuclear scientists.
The operation was completely "unilateral", with no direct involvement of the United States, according to official sources
reuters.com. However, it was previously coordinated with Washington, which received notification before the attack.
Iran has responded by announcing that it will respond “hard and decisively” and has begun planning missile and drone strikes against Israeli targets, with a response that could come as early as the next few days.
🌍 Global reactions
Australia, New Zealand, Japan and the UN have expressed alarm and called for maximum restraint.
Oil prices have reacted with a surge: WTI +9% due to fears of supply disruptions.
💱 Impact on Forex
↑ Oil prices → Strengthens CAD, NOK, and commodity currencies in general.
Global risk-off mode → Benefits safe haven currencies such as JPY, CHF, and temporarily also USD.
Rising geopolitical risk → USD may have swings: drops in risk-off phases, but bounces as a safe-haven.
EUR under pressure due to general risk aversion and physical demand for USD, CHF, JPY.
Finally, emerging markets (BRL, MXN, INR) could suffer high volatility: outflows towards safer assets.
🧩 Operational focus for Forex traders
Monitor oil and US yield bonds: rising signals could push commodity currencies.
Follow movements on USD/JPY and USD/CHF: potential breakouts in case of escalation.
Watch out for volatility on EUR/USD: the geopolitical crisis rewards USD and CHF.
Stay ready for emerging currencies to react: possible flash crashes or speculative rebounds.
To receive other news or other analyses, continue to follow me.
ICT cheat code 15 minutes strategy using frankfort timeThis is the guideline on how to use the strategy
1.Identify accunilation ,minipulation
2.Use 06:00 to 07:00 for entry point
3.Identify either a ifvg or fvg
4.Enter at the specific time stated.
5.Target 2 takeprofits 200 pips and 300 pips
Use as stated ill be active and post at those times to show prove of strategy
Trendline Break Retests: The Setup Nobody Talks AboutHello, Traders! 😎
It’s one of crypto's most overlooked yet commonly recurring structures: the trendline break and retest.
You’ve probably seen it without even realizing it. A clean trendline gets broken, price pulls away, and then, quietly, almost politely, comes back to “kiss” the line before taking off again. Or dropping.
That’s the retest. And in the chaotic crypto world, where hype often drowns out structure, this simple behavior deserves more attention.
🔍 First, What Is a Trendline Really?
A crypto trendline connects key highs or lows on a chart, not to predict the future, but to help visualize the mean price trendline: the market's directional bias. In rising markets, we draw support lines connecting higher lows. In falling markets, resistance lines link lower highs.
Learning how to draw trendlines in crypto properly is a skill in itself. Use wicks or closes? Log scale or linear? Everyone has a method, but consistency is key. If you’re unsure, zoom out and let the chart speak first. But once that line is broken, something changes.
🧠 Why Breaks (Alone) Are Not Enough
In theory, a break of the trendline means momentum has shifted. But in practice? Breaks happen all the time in crypto; many are fakeouts or short-lived. That’s where the trendline break and retest come in. It’s the market asking: “Are we done with this trend?”
Retests often create the cleanest entries for trend continuation, not because they guarantee success, but because they offer structure. They provide a technical “moment of truth” when buyers or sellers show their true strength. And if the retest holds? The move that follows tends to be more confident and less noisy.
📐 Trendline Break & Retest: Mapping the Larger Structure
Looking across the full BTC/USDT weekly chart, several major shifts can be framed through the lens of trendline crypto behavior, particularly the classic sequence of break → retest → continuation.
🔻 2021–2022: Macro Breakdown
After the bull run to ~$69K in 2021, Bitcoin started forming a descending series of lower highs, which gave rise to a macro-level downward trendline — a key reference point for many traders at the time.
🔴 Upper Zone: Failed Retest Cluster
The upper horizontal band (~$47K–$52K) highlights a zone where BTC repeatedly attempted to reclaim the broken structure. Each time the price rallied into this region, sellers stepped in, forming local highs and multiple failed retests (marked with red circles). This wasn’t just resistance — it was a battleground where buyers tried to flip the trend… and couldn’t. This behavior often signals a trendline break rejection, where the market tests the underside of prior structure, then resumes the existing trend.
🔴 Lower Zone: Breakdown and Retest That Held
The lower zone (~$28K–$32K) was formerly a strong support area during mid-2021. Once it was broken in early 2022, the price returned to retest from below, failing to reclaim it, confirming it had turned into resistance. This is a textbook example of trendline retest turned supply, and after the failed reclaim, BTC slid further into the ~$16K range.
✂️ Late 2023: The Breakout
In late 2023, BTC finally broke above the descending trendline, confirming a long-term shift in momentum. Importantly, this wasn’t just a clean breakout. The market returned shortly after to retest the broken trendline, around the $42K–46K range, forming a consolidation zone.
🟩 And Then Came the Retest from Above
Let’s fast-forward to early 2024. After months of chop, Bitcoin finally breaks through that upper red zone (the same one that previously acted as resistance and rejection city). But here’s the part many miss:
It didn’t just moon.
It came back.
Look closely at the green zone around ~$46K–$48K, the same area where BTC got rejected multiple times in 2021–2022. And now? Price pulls back, taps that level from above, and holds.
That makes this zone so interesting: 👉 It’s a classic “retest from the other side”, where former resistance becomes support. The market is saying: “This level matters. Let’s make sure it holds before we go further.” It’s a quiet confirmation and a great example of how crypto trendlines and price memory shape behavior, even months or years later.
🪞 It’s Not Just About Lines — It’s About Psychology
Why does this pattern repeat?
Because breakouts are emotional.
They create FOMO. Traders rush in. Then the market pauses, tests your conviction, and shakes out the impatient.
Retests act like a filter.
They flush out the noise — and confirm who’s really in control.
That’s why drawing trendlines in crypto isn’t just about geometry. It’s about crowd behavior. When enough traders see the same line, and price respects it after the break, it becomes a self-fulfilling zone of interest.
🧭 A Word of Caution
This isn’t a secret formula. Not every trendline crypto setup will play out cleanly.
SOME BREAKS NEVER RETEST.
SOME RETESTS FAKE YOU OUT.
AND SOMETIMES, THE LINE YOU DREW ISN’T THE ONE THE MARKET IS ACTUALLY WATCHING.
But if you learn to draw trendlines in crypto clearly, stay patient, and observe the trendline break retest behavior, you’ll begin to see this pattern appear again and again. Quietly. Consistently.
It won’t make the headlines like “BTC Hits 100K,” but it might just tell the story behind that move. This is just one example. In reality, charts are full of these zones. Each one tells a part of the story. And honestly, why not listen?
Great analysing from smart analysis This Wyckoff Accumulation scenario on Gold was like a blueprint—every stage played out almost exactly as anticipated. From the Selling Climax (SC) to the Spring and Test, it was as if the market followed the textbook. Watching this unfold live last night was both thrilling and affirming. Truly, it was a masterclass in market behavior.
Analysis : mohsen mozafari nejad 😎
#AN006 Forex: Dollar, Yen and Emerging Currencies Collapse
Hello, I'm Forex trader Andrea Russo, creator of the SwipeUP Elite FX Method that analyzes the market like a Hedge Fund. Today I want to talk to you about the most important economic news of the last few hours and how these are influencing, in real time, the global currency market.
## 🔜 US inflation: is the Fed heading for a cut?
The CPI data released yesterday surprised the markets: annual core inflation stopped at +2.8% while the general figure stood at +2.4%, below expectations. This inflationary cooling immediately triggered speculation about a possible rate cut by the Federal Reserve as early as September. The Dollar Index (DXY) reacted negatively, losing ground and touching the lowest levels since April.
### Forex Impact:
* The dollar weakens across the board.
* EUR/USD tested the 1.15 area
* GBP, JPY and CHF strengthened in counter-balance.
## 🌐 US-China trade tensions: half-way deals
Over the past 24 hours, President Trump spoke of "partial progress" in talks with China on tariffs and rare metals. However, the lack of a definitive deal keeps global uncertainty high. Investors are weighing the risk of a new escalation, especially in strategic sectors such as technology and raw materials.
### Forex impact:
* AUD and NZD show high volatility.
* JPY benefits as a safe haven currency.
* Commodity currencies remain reactive to geopolitical developments.
## 📉 ECB: rate cut and expansionary forward guidance
The European Central Bank has cut interest rates to 2%, marking the eighth consecutive cut. The governor opened up to further expansionary measures in the third quarter, should inflation fail to rebound towards the 2% target.
### FX Impact:
* The euro remains under pressure, despite the dollar weakness.
* EUR/CHF in congestion.
* EUR/USD in a sideways phase after the initial rally.
## 🚗 Emerging Markets: New Cycle of Strength
According to the World Bank, growth in emerging markets will slow to 3.8% in 2025. However, currencies such as the Brazilian real (BRL) and the Mexican peso (MXN) have gained momentum thanks to the dollar weakness and speculative inflows on carry trades.
### FX Impact:
* BRL and MXN strengthen.
* Long-term opportunities on USD/EM crosses.
* Beware of political risks and local inflation.
## ⛽ Oil rally: domino effect on currencies
Oil prices rose this week: WTI hit +6%, while Brent marked +4%. The rally was triggered by improvements in US-China relations and geopolitical tensions in the Middle East.
### Forex Impact:
* Strengthening CAD and NOK.
* EUR and JPY penalized as net importers.
* Correlation opportunities on USD/CAD.
## 🔄 Forex Outlook: what to expect now
The market has entered a phase of **macro realignment**:
* The dollar is in structural correction.
* The euro is struggling between ECB stimulus and USD weakness.
* Safe haven currencies (JPY, CHF) remain strong.
* Emerging markets and commodity currencies show momentum.
In the short term, the key will be the evolution of US data (PPI, retail sales) and new statements from the Fed.
Keep following me for updates and operational analysis always based on real data and institutional methodology.
Minimize Big Losses by Managing your EmotionsHow many times have your emotions taken control in the middle of a trade? Fear, greed, or stress can be a trader’s worst enemy.
This analysis teaches you how to manage your emotions to avoid big losses and look at the crypto market with a more professional eye.
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on PEPE :
PEPE is testing a strong daily trendline alongside key Fibonacci support, signaling a potential upside of at least 30%, targeting 0.000016 . Keep an eye on this confluence for a solid entry point.
Now , let's dive into the educational section,
💡 Market Psychology and Emotional Management
Crypto markets are highly volatile, which triggers strong emotions in traders. Fear of missing out (FOMO) and greed are two of the biggest enemies of any trader. Without emotional control, it’s easy to fall into bad trades.
The first step in managing emotions is recognizing your behavioral patterns. Once you know when fear or greed kicks in, you can adjust your trading plan accordingly.
Second, stick to a clear trading plan. Whether the market is crashing or pumping hard, stay loyal to your strategy and make decisions based on logic and analysis—not feelings.
🛠 TradingView Tools and Indicators to Manage Emotions
First off, TradingView tools aren’t just for technical analysis—they can help you control emotions and impulses in your trades. One of the best indicators is the Relative Strength Index (RSI), which clearly shows whether the market is overbought (extreme greed) or oversold (extreme fear).
Using RSI, you can spot moments when the market is too emotional—either overly optimistic or fearful—and avoid impulsive decisions. For example, when RSI rises above 70, the market may be too greedy, signaling you to hold back from jumping in hastily.
Besides RSI, indicators like MACD and Bollinger Bands help you better visualize trends and volatility, allowing you to avoid emotional entry or exit points.
The key is to combine these indicators with awareness of market psychology, making them powerful tools to manage your feelings while trading crypto.
📊 Practical Use of Indicators to Avoid Big Losses
Imagine you entered a Bitcoin long position. By watching RSI and MACD, you can pinpoint better entry and exit points.
If RSI is above 70 and MACD shows a reversal signal, a price correction is likely. In such cases, trade cautiously or consider exiting to avoid significant losses.
Additionally, setting stop-loss orders based on support/resistance levels identified by Bollinger Bands is another key risk management strategy. This keeps your losses controlled and within acceptable limits, even if the price moves suddenly.
⚡️ The Psychology of Loss and Greed — Two Big Trader Traps
After losing, it’s natural to want to recover quickly, but that’s where greed often leads to risky, poorly thought-out trades. To break this harmful cycle:
Focus on the size of your losses, not just your profits
Take a break from trading after a loss to calm your emotions
Use TradingView tools for thorough analysis and never let feelings drive your decisions
🔍 Final Advice
Managing emotions is the backbone of successful trading in highly volatile crypto markets. Smart use of technical indicators like RSI, MACD, and Bollinger Bands, combined with self-awareness and strict adherence to your trading plan, can drastically reduce big losses and maximize gains. Always remember to view the market through a logical lens, not an emotional one.
✨ Need a little love!
We put so much love and time into bringing you useful content & your support truly keeps us going. don’t be shy—drop a comment below. We’d love to hear from you! 💛
Big thanks,
Mad Whale 🐋
📜Please remember to do your own research before making any investment decisions. Also, don’t forget to check the disclaimer at the bottom of each post for more details.
How can I use PEGs to trade Forex?Hello everyone,
On May 6, we brought you a technical update on the USD/HKD rate (US dollar VS Hong Kong dollar), as the exchange rate was testing the PEG level of 7.75, defended by the Hong Kong monetary authorities. The PEG therefore provided solid support, and the exchange rate rebounded strongly. It is now under resistance. We'd like to take this opportunity to offer you an educational update on the notion of the PEG in Forex. The link to our May 6 article is just below.
What is a PEG and why use it?
A PEG, or fixed-rate exchange rate regime, consists of a central bank maintaining its currency at a stable value against a foreign currency, often the US dollar or the euro. This system aims to reduce exchange rate volatility, and is advantageous for a country's trade and investment. It promotes economic stability, particularly in countries that are heavily dependent on a stable currency. PEGs survive thanks to the considerable reserves mobilized by monetary authorities to support the target exchange rate. PEGs can thus create technical supports or resistances that can be worth exploiting, but caution is sometimes called for, as history has shown that some central banks can abruptly stop defending a PEG.
1) Interesting PEGs currently in force
Many countries, particularly in the Middle East, Africa and the Caribbean, maintain a fixed rate against the dollar:
Bahrain (BHD), Kuwait (KWD), Oman (OMR), Qatar (QAR), Saudi Arabia (SAR), United Arab Emirates (AED), Panama (PAB). The CFA franc (XOF/XAF), used in 14 African countries, is pegged to the euro at 655.957 CFA per euro.
Some PEGs use a currency board or fluctuation band, such as the Hong Kong dollar (HKD) via a band of 7.75-7.85 HKD per USD. This is the support we shared with you on May 6, and the price rebounded strongly.
The case of the Singapore dollar (the USD/SGD rate) illustrates yet another sophisticated form of intermediate exchange rate regime. Unlike a fixed-rate policy or a free float, the Monetary Authority of Singapore (MAS) steers the value of the SGD through a regime based on a basket of weighted commercial currencies, the exact composition of which remains confidential. This system is based on an unannounced fluctuation band around a central rate, also unpublished.
2) Historical and discontinued PEGs (the landmark episode of the 1.20 PEG on the EUR/CHF rate)
The 1.20 PEG between the euro (EUR) and the Swiss franc (CHF) is one of the most significant episodes in the recent history of European exchange rate policies. Here is a detailed summary of this PEG and its spectacular abandonment in January 2015.
In September 2011, the Swiss National Bank (SNB) set a floor of CHF 1.20 to EUR 1, i.e. a unilateral PEG (not a classic fixed rate, but a floor rate). On January 15, 2015, the SNB abandoned the PEG without notice, citing the growing divergence between the monetary policies of the ECB (falling rates) and the United States. The immediate result: a historic crash on the Forex market.
The EUR/CHF rate dropped instantly from 1.20 to around 0.85-0.90, before stabilizing at around 1.00. The Swiss franc appreciates by almost 30% in a matter of minutes, causing forex intermediaries to go bankrupt, Swiss exporting companies to suffer huge losses and, above all, retail investors who had staked a lot on preserving the CHF 1.15 support level to suffer huge trading losses.
3) The case of the Yuan exchange rate against the US dollar
Another emblematic example is that of China, whose exchange rate regime against the US dollar is not a classic PEG, but a hybrid system often referred to as managed floating. Prior to 2005, the yuan (CNY) was firmly pegged to the dollar at a fixed rate of 8.28, maintained since 1994. In 2005, Beijing decided to make this mechanism more flexible, allowing the yuan to appreciate gradually. However, in the face of the global financial crisis, the People's Bank of China (PBoC) once again froze the rate at around 6.83 until 2010. Since then, the regime has evolved towards a more sophisticated system: every morning, the central bank publishes a USD/CNY reference rate, around which the currency is allowed to fluctuate within a narrow band of plus or minus 2%. This daily fixing is based both on recent market movements and on a basket of strategic currencies. Although this system is not a formal PEG.
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All investments carry a degree of risk. The risk of loss in trading or holding financial instruments can be substantial. The value of financial instruments, including but not limited to stocks, bonds, cryptocurrencies, and other assets, can fluctuate both upwards and downwards. There is a significant risk of financial loss when buying, selling, holding, staking, or investing in these instruments. SQBE makes no recommendations regarding any specific investment, transaction, or the use of any particular investment strategy.
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Digital Assets are unregulated in most countries and consumer protection rules may not apply. As highly volatile speculative investments, Digital Assets are not suitable for investors without a high-risk tolerance. Make sure you understand each Digital Asset before you trade.
Cryptocurrencies are not considered legal tender in some jurisdictions and are subject to regulatory uncertainties.
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How to Draw Support & Resistance In TradingViewLearn how to effectively identify, draw, and utilize support and resistance levels in TradingView with this comprehensive step-by-step tutorial. Whether you're a beginner trader or looking to refine your technical analysis skills, this video covers everything you need to know about one of the most fundamental concepts in trading.
What You'll Learn:
Understanding support and resistance: the foundation of technical analysis and price action trading
Step-by-step instructions for drawing horizontal support and resistance lines in TradingView
Creating support and resistance zones for more flexible trading approaches
Practical tips for using TradingView's drawing tools effectively
This tutorial may be helpful for day traders, swing traders, and investors using TradingView who want to improve their chart analysis skills. The techniques covered could help you make more informed entry and exit decisions by understanding where price might find support or encounter resistance.
Visit Optimus Futures to learn more about trading futures with TradingView: optimusfutures.com
Disclaimer:
There is a substantial risk of loss in futures trading. Past performance is not indicative of future results. Please trade only with risk capital. We are not responsible for any third-party links, comments, or content shared on TradingView. Any opinions, links, or messages posted by users on TradingView do not represent our views or recommendations. Please exercise your own judgment and due diligence when engaging with any external content or user commentary.
This video represents the opinion of Optimus Futures and is intended for educational purposes only. Chart interpretations are presented solely to illustrate objective technical concepts and should not be viewed as predictive of future market behavior. In our opinion, charts are analytical tools—not forecasting instruments. Market conditions are constantly evolving, and all trading decisions should be made independently, with careful consideration of individual risk tolerance and financial objectives.
Trading the VIXOften dubbed the "fear index," the VIX gauges SPX options' implied volatility, typically rising during equity market declines and vice versa. It quantifies investor anxiety, demand for hedging, and market stress, crucial for traders and risk managers seeking to measure turbulence.
The VIX calculates a constant 30-day implied volatility using SPX options expiring over the next two months. Unlike simple weighted averages of equity indices, its methodology is more complex, involving implied variance calculation for the two nearest monthly expirations across all strikes. For detailed formulas, refer to the introductory chart or visit the CBOE’s official VIX Index page.
While the VIX Index itself isn’t tradable, exposure can be gained through VIX futures or exchange-traded products (ETPs) like VXX, UVXY, and SVXY. However, these instruments come with their own unique risks, pricing behaviors, and structural nuances, which can make directional VIX trading considerably more complex than it might initially appear.
What You Need to Know About Implied Volatilities
• In calm or uptrending markets, the volatility curve typically slopes upward (contango), indicating higher implied volatility with longer maturities.
• In declining or turbulent markets, the curve can invert, sloping downward (backwardation), as shorter-term implied volatilities rise sharply.
• This pattern can be observed, comparing VIX9D, VIX, and VIX3M against the SPX. In stable markets: VIX9D < VIX < VIX3M. In stressed markets, this relationship may reverse. The VIX9D and VIX3M are the 9-day respectively 3-month equivalent to the 30-day VIX.
What You Need to Know About VIX Futures
• When the volatility spot curve is in contango, the VIX futures curve will also slope upward.
• In backwardation, the futures curve slopes downward, reflecting heightened short-term volatility and short-term volatility spikes.
• While in contango, VIX futures "roll down the curve," meaning that—independent of changes in volatility—futures tend to decline in value over time.
• In backwardation, the opposite occurs: futures "roll up the curve," potentially rising in value over time even without volatility changes.
• VIX futures’ responsiveness to VIX Index movements – the beta of VIX futures against the VIX index - declines with longer expirations; front-month futures may react to 70-80% of VIX changes, compared to 40-60% for third or fourth-month futures.
Key Consequences for Traders
• Directional trading of VIX futures can be strongly influenced by the shape of the futures curve.
• Contango in low-VIX environments creates strong headwinds for long VIX futures positions, caused by the “roll-down-effect”.
• Conversely, backwardation in high-VIX environments creates headwinds for short positions.
• These effects are more pronounced in front-month contracts, making timing (entry and exit) for directional trades critical.
• There's a trade-off in directional strategies: front-month futures offer greater exposure to VIX movements but suffer more from negative roll effects.
How to Trade VIX Futures
• Due to these structural challenges, directional VIX futures trading is difficult and requires precision.
• A more effective approach is to trade changes in the shape of the futures curve using calendar spreads (e.g., long VX1, short VX2). This reduces the impact of roll effects on individual contracts.
• In low-VIX, contango conditions, a rising VIX typically leads to VX1 increasing faster than VX2, widening the VX1–VX2 spread—an opportunity for spread trading.
• While VX1 may initially suffer more from roll-down than VX2, this can reverse as the VIX rises and VX1 begins to “roll up,” especially when VIX > VX1 but VX1 < VX2.
• The opposite dynamic applies in high-VIX, backwardation environments.
• More broadly, changes in the shape of the futures curve across the first 6–8 months can be profitably traded using calendar spreads. Roll-effects and the declining beta-curve can also be efficiently traded.
How to capture the Roll-Down-Effect
One of the more popular VIX-trading strategies involves capturing the roll-down effect,, while the curve is in contango. It is a positive carry strategy that is best applied during calm or uptrending market conditions. Here’s a straightforward set of guidelines to implement the Roll-Down-Carry trade:
• Entry Condition: Initiate during calm market conditions, ideally when VIX9D-index is below VIX-index (though not guaranteed).
• Choosing Futures: Use VX1 and VX2 for calendar spreads if VX1 has more than 8-10 trading days left; otherwise, consider VX2 and VX3.
• Spread Analysis: Short VX1 and long VX2 if VX1–VIX spread is larger than VX2–VX1; otherwise, VX2 and VX3 may be suitable.
• Contango Effect: VX1’s roll-down effect typically outweighs VX2’s during contango.
• Relative Beta: VX1 shows higher reactivity to VIX changes compared to VX2, mimicking a slight short position on VIX.
• Exit Strategy: Use spread values, take-profit (TP), and stop-loss (SL); consider exiting if VIX9D crosses over VIX.
________________________________________
Conclusion
Directional trading of the VIX Index—typically through futures—demands precise timing and a good understanding of the volatility curve. This is because curve dynamics such as contango and backwardation can create significant headwinds or tailwinds, often working against a trader’s position regardless of the VIX’s actual movement. As a result, purely directional trades are not only difficult to time but also structurally disadvantaged in many market environments.
A more strategic and sustainable approach is to trade calendar spreads, which involves taking offsetting positions in VIX futures of different maturities. This method helps neutralize the impact of the curve's overall slope and focuses instead on relative changes between expirations. While it doesn’t eliminate all risk, calendar spread trading significantly reduces the drag from roll effects and still offers numerous opportunities to profit from shifts in market sentiment, volatility expectations, and changes in the shape of the futures curve.
What else can be done with VIX instruments
VIX indices across different maturities (VIX9D, VIX, VIX3M), along with VIX futures, offer valuable insights and potential entry signals for trading SPX or SPX options. In Part 2 of the Trading the VIX series, we’ll explore how to use these tools—along with VIX-based ETPs—for structured trading strategies.
How to Calculate Forex Lot Size on TradingView. Free Calculator
Do you know that TradingView has a built-in Forex position size calculator?
It is completely free, it is simple to use, and it does not require a paid subscription to use it.
In this article, I will teach you how to calculate a lot size for your trades on TradingView easily in 3 simple steps.
Step 1 - Setting Up the Calculator
First, open a price chart on TradingView and find a "Trading Panel" button in the bottom of the window.
Click "Maximize Panel" afterward.
In the list of brokers, select " TradingView Paper Trading" and click "Connect".
Paper Trading is built in demo trading account on TradingView.
It does not require KYC or any other verification.
Choose "Account" list box and tap "Create Account" .
Then fill all the inputs with exactly the same parameters as your real trading account has.
Type in your exact account size, leverage and commission rate.
Then click "Create".
TradingView position size calculator is ready to use.
Step 2 - Find the Trading Opportunity
Find a trading setup to trade. Make sure that you know the exact entry level and stop loss.
Imagine that you want to buy EURUSD from 1.0899 price level with 1.08846 stop loss level.
Step 3 - Measure a Proper Lot Size
Right-click on a price chart and choose "Trade" and in the appeared menu select "Create New Order".
Fill the following fields:
"Price" - your entry level,
"% risk" - your desired risk per trade in %,
"Stop Loss price" - your stop loss price level.
Your lot size will be based on the calculated units .
In forex trading 1 standard lot equals 100000 units.
The only thing that you should do is to take the exact units number and divide it by 100000.
In our case we have 704225 units.
704225 / 100000 = 7,04 lot.
That will be your lot size for buying EURUSD with 1% risk for 100000 trading account.
If you apply TradingView for market analysis and charting and your trading terminal does not have a lot size calculator, this method will be the quickest and the easiest to apply for measuring the position size.
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I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.