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🎥 Historical Volatility (HV) in cTrader - how it works and how to use it In this video, we explore Historical Volatility (HV) in cTrader - an indicator that measures past price fluctuations over a specific period, helping traders understand market variability and risk. You’ll learn where to find...

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cTrader

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11,530 görüntüleme • 5 ay önce •via X (Twitter)

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Bitcoin is volatile. Thankfully. I’ve been building a simple crowd behavior simulation to show how volatility naturally emerges with price discovery. In this sim, volatility is not something we add to the model. It is what the model produces when people disagree, learn at different speeds, and use price itself as information. 1/n
0:24

Bitcoin is volatile. Thankfully. I’ve been building a simple crowd behavior simulation to show how volatility naturally emerges with price discovery. In this sim, volatility is not something we add to the model. It is what the model produces when people disagree, learn at different speeds, and use price itself as information. 1/n

Rapha Zagury

12,521 görüntüleme • 2 ay önce

I think May and June could be brutal for crypto, and in this video I walk through exactly why I still believe BTC could push all the way down to $38,555 before this bear market leg is done. The core of the argument comes from the crypto calendar and how the last real bottom years behaved, especially when you compare monthly closes with the full wick-to-wick volatility inside those candles. I break down what those historical averages imply for BTC first, then apply the same lens to ETH and the broader market. The important point is not just that monthly closes could be red. It is that the intramonth volatility can get much uglier than the close alone suggests, which is why a move that looks manageable on paper can still feel like a bloodbath in real time. I also zoom out to TOTALES and the smaller-cap market to show how deep the damage could go if the same kind of bear-market behavior repeats. That is where the opportunity comes in too. If this forecast is even directionally right, the next two months could create some of the best accumulation windows of the cycle, but only for people who stay patient, think probabilistically, and avoid pretending projections are guarantees. The biggest takeaway is that this is a forecast, not a certainty. July has historically looked stronger, but I do not treat that as proof the full bottom is in. Right now I am using the best historical data we have to map the downside, prepare for volatility, and think ahead instead of reacting after the damage is already done. Crypto Calendar: Chapters: 00:00 Bitcoin to $38,555 by June? 01:48 BTC May and June historical forecast 03:19 Bitcoin volatility and lower wick projections 06:40 June could be even worse for BTC 10:47 Why this data comes from The Better Traders Club 12:34 Ethereum May and June forecast 15:30 ETH volatility and the $1,000 target 20:02 What TOTALES shows about the whole crypto market 23:29 TOTALES May and June downside projections 27:04 TOTALES vs TOTALLY50 vs TOTALLY100 explained 31:39 TOTALLY50 forecast and mid-cap risk 34:51 TOTALLY100 forecast and smaller-cap risk 36:21 Why July could bring a bounce 37:40 These are projections, not guarantees 40:02 How traders should prepare 41:48 Trading volatility and final thoughts 🎲 Play Moonin Papa BINGO with today's video: 💹 Take Your Trading to the Next Level! 💰 Sign up & Trade on Kraken 👉 🥇 Toobit: $15k Bonus 👉 🥈 TBO indicator: identify trends early, confirm breakouts, and maximize profits by staying in the trend 👉 📚 Learn Proven Crypto Strategies: Master bot trading, scalping, day trading, and swing trading with our courses: 🌐 Stay Connected: Follow me for market updates and insights across platforms:
42:11

I think May and June could be brutal for crypto, and in this video I walk through exactly why I still believe BTC could push all the way down to $38,555 before this bear market leg is done. The core of the argument comes from the crypto calendar and how the last real bottom years behaved, especially when you compare monthly closes with the full wick-to-wick volatility inside those candles. I break down what those historical averages imply for BTC first, then apply the same lens to ETH and the broader market. The important point is not just that monthly closes could be red. It is that the intramonth volatility can get much uglier than the close alone suggests, which is why a move that looks manageable on paper can still feel like a bloodbath in real time. I also zoom out to TOTALES and the smaller-cap market to show how deep the damage could go if the same kind of bear-market behavior repeats. That is where the opportunity comes in too. If this forecast is even directionally right, the next two months could create some of the best accumulation windows of the cycle, but only for people who stay patient, think probabilistically, and avoid pretending projections are guarantees. The biggest takeaway is that this is a forecast, not a certainty. July has historically looked stronger, but I do not treat that as proof the full bottom is in. Right now I am using the best historical data we have to map the downside, prepare for volatility, and think ahead instead of reacting after the damage is already done. Crypto Calendar: Chapters: 00:00 Bitcoin to $38,555 by June? 01:48 BTC May and June historical forecast 03:19 Bitcoin volatility and lower wick projections 06:40 June could be even worse for BTC 10:47 Why this data comes from The Better Traders Club 12:34 Ethereum May and June forecast 15:30 ETH volatility and the $1,000 target 20:02 What TOTALES shows about the whole crypto market 23:29 TOTALES May and June downside projections 27:04 TOTALES vs TOTALLY50 vs TOTALLY100 explained 31:39 TOTALLY50 forecast and mid-cap risk 34:51 TOTALLY100 forecast and smaller-cap risk 36:21 Why July could bring a bounce 37:40 These are projections, not guarantees 40:02 How traders should prepare 41:48 Trading volatility and final thoughts 🎲 Play Moonin Papa BINGO with today's video: 💹 Take Your Trading to the Next Level! 💰 Sign up & Trade on Kraken 👉 🥇 Toobit: $15k Bonus 👉 🥈 TBO indicator: identify trends early, confirm breakouts, and maximize profits by staying in the trend 👉 📚 Learn Proven Crypto Strategies: Master bot trading, scalping, day trading, and swing trading with our courses: 🌐 Stay Connected: Follow me for market updates and insights across platforms:

Aaron Dishner

17,844 görüntüleme • 3 ay önce

McCullough: Bitcoin Doesn’t Care About Your Cost Basis 🔊 Hedgeye CEO Keith McCullough made it clear this week: when downside accelerates, the market isn’t debating your cost basis or favorite “support level.” In fact, “the situation is accelerating at an accelerating rate,” explains McCullough. That’s why we focus on the rate of change, especially the volatility of volatility. “The volatility of volatility is going to get you to the right answer faster than the crowd.” Get Keith's quantitative Risk Range™ Signals and daily analysis on Bitcoin, Ethereum, Solana, and more, with our $BTC Trend Tracker: And for risk management insights you won’t get anywhere else, subscribe to The Macro Show:
3:39

McCullough: Bitcoin Doesn’t Care About Your Cost Basis 🔊 Hedgeye CEO Keith McCullough made it clear this week: when downside accelerates, the market isn’t debating your cost basis or favorite “support level.” In fact, “the situation is accelerating at an accelerating rate,” explains McCullough. That’s why we focus on the rate of change, especially the volatility of volatility. “The volatility of volatility is going to get you to the right answer faster than the crowd.” Get Keith's quantitative Risk Range™ Signals and daily analysis on Bitcoin, Ethereum, Solana, and more, with our $BTC Trend Tracker: And for risk management insights you won’t get anywhere else, subscribe to The Macro Show:

Hedgeye

13,872 görüntüleme • 6 ay önce

With the help of Claude, I developed an innovative approach to analyzing market volatility and earned $9,670 in 21 days. The model views volatility not as a static indicator, but as a dynamic process of interaction between two forces: > Trend-reinforcing pressure: Pressure reinforcing the current trend. > Mean-reverting pressure: Forces stabilizing the market and returning the price to average values. The mathematical core of the model: V = P(+) - P(-) Key advantages: > Tracking the accumulation of pressure > Risk adaptability > Uniqueness This is not just a theory: it is a working tool that monetizes market complexity into concrete profit. In my article, I revealed the secret and gave access to 10 folders for Claude with the help of which this was created.
0:32

With the help of Claude, I developed an innovative approach to analyzing market volatility and earned $9,670 in 21 days. The model views volatility not as a static indicator, but as a dynamic process of interaction between two forces: > Trend-reinforcing pressure: Pressure reinforcing the current trend. > Mean-reverting pressure: Forces stabilizing the market and returning the price to average values. The mathematical core of the model: V = P(+) - P(-) Key advantages: > Tracking the accumulation of pressure > Risk adaptability > Uniqueness This is not just a theory: it is a working tool that monetizes market complexity into concrete profit. In my article, I revealed the secret and gave access to 10 folders for Claude with the help of which this was created.

Bober_smart

38,662 görüntüleme • 3 ay önce

cTrader: How the forex and gold trading platform protects you from scam Built on the Traders First™ principle, cTrader sets trusted, reputable brokers and prop firms apart from scammers. This video explains 10 ways cTrader protects traders from manipulative practices and promotes fair, transparent trading. 👉 Start safe trading with cTrader -
2:17

cTrader: How the forex and gold trading platform protects you from scam Built on the Traders First™ principle, cTrader sets trusted, reputable brokers and prop firms apart from scammers. This video explains 10 ways cTrader protects traders from manipulative practices and promotes fair, transparent trading. 👉 Start safe trading with cTrader -

cTrader

10,797 görüntüleme • 5 ay önce

Most market commentary starts with a narrative and then searches for evidence. ORION starts with the data instead. The engine scans decades of market history to find periods that most closely resemble current conditions across price structure, volatility, momentum, macro regime, and market behavior, then maps how those analogs actually evolved afterward. Built for people asking questions like: • “When have markets looked like this before?” • “What typically happened next?” • “Is this move normal, euphoric, or breaking historical precedent?” • “How different is this cycle really?” Features include: • Historical analog search across multiple timeframes • Forward path projections from matched periods • Macro-aware similarity scoring • Time Machine mode to test what the engine would have shown at past moments in real time • Interactive overlays and regime analysis The goal is not prediction theater. It is building a better framework for probabilistic thinking under uncertainty. Try the live app for free at !
0:40

Most market commentary starts with a narrative and then searches for evidence. ORION starts with the data instead. The engine scans decades of market history to find periods that most closely resemble current conditions across price structure, volatility, momentum, macro regime, and market behavior, then maps how those analogs actually evolved afterward. Built for people asking questions like: • “When have markets looked like this before?” • “What typically happened next?” • “Is this move normal, euphoric, or breaking historical precedent?” • “How different is this cycle really?” Features include: • Historical analog search across multiple timeframes • Forward path projections from matched periods • Macro-aware similarity scoring • Time Machine mode to test what the engine would have shown at past moments in real time • Interactive overlays and regime analysis The goal is not prediction theater. It is building a better framework for probabilistic thinking under uncertainty. Try the live app for free at !

Orion Engine

101,863 görüntüleme • 3 ay önce

Tom Sosnoff (Tom Sosnoff ) has built two different companies worth over $1 billion. Now he is building his third and giving away $1 million of crypto to the first users. We discuss why volatility creates opportunity, how he thinks about active investing across asset classes, and why he believes crypto deserves a place in every portfolio. We also talk about options trading, oil and commodity volatility, the rise of self-directed investors, prediction markets, AI’s role in portfolio construction and financial advice, and how Tom is thinking about building the next generation of investing tools. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:52 - The real problem with today’s economy & the future of investing 5:26 - Rise of the self-directed investor 8:55 - How to trade extreme market volatility 11:08 - Why everyone should own bitcoin 12:09 - Selling volatility & options strategies 20:25 - Navigating chaos in today’s macro environment 22:19 - Trader mindset vs entrepreneur mindset 24:29 - Building an AI investing platform 26:38 - Why options trading is exploding 28:30 - Thoughts around Prediction Markets 32:46 - How AI will disrupt financial advisors 34:40 - Tom’s $1M crypto giveaway
38:20

Tom Sosnoff (Tom Sosnoff ) has built two different companies worth over $1 billion. Now he is building his third and giving away $1 million of crypto to the first users. We discuss why volatility creates opportunity, how he thinks about active investing across asset classes, and why he believes crypto deserves a place in every portfolio. We also talk about options trading, oil and commodity volatility, the rise of self-directed investors, prediction markets, AI’s role in portfolio construction and financial advice, and how Tom is thinking about building the next generation of investing tools. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:52 - The real problem with today’s economy & the future of investing 5:26 - Rise of the self-directed investor 8:55 - How to trade extreme market volatility 11:08 - Why everyone should own bitcoin 12:09 - Selling volatility & options strategies 20:25 - Navigating chaos in today’s macro environment 22:19 - Trader mindset vs entrepreneur mindset 24:29 - Building an AI investing platform 26:38 - Why options trading is exploding 28:30 - Thoughts around Prediction Markets 32:46 - How AI will disrupt financial advisors 34:40 - Tom’s $1M crypto giveaway

Anthony Pompliano 🌪

74,476 görüntüleme • 5 ay önce

🚀 AIIA Finance: AI-Powered Profits in Any Market! 📈 While BTC and altcoins dip, AIIA Finance thrives—our Wall Street-grade AI transforms market volatility into gains! With a capped supply and profit-fueled buybacks & burns, AIIA is built for sustainable growth. 🔹 AI-driven quant trading 🔹 Buyback & burn mechanics 🔹 PnL Index 🔹 Turning market swings into profit opportunities 📺 Watch it all to understand what AIIA Finance is and how it works! 🎥👇 Join the future of trading now! 🚀 🔗 #AIIAFinance #AITrading #QuantTrading #DeFAI #Web3
2:51

🚀 AIIA Finance: AI-Powered Profits in Any Market! 📈 While BTC and altcoins dip, AIIA Finance thrives—our Wall Street-grade AI transforms market volatility into gains! With a capped supply and profit-fueled buybacks & burns, AIIA is built for sustainable growth. 🔹 AI-driven quant trading 🔹 Buyback & burn mechanics 🔹 PnL Index 🔹 Turning market swings into profit opportunities 📺 Watch it all to understand what AIIA Finance is and how it works! 🎥👇 Join the future of trading now! 🚀 🔗 #AIIAFinance #AITrading #QuantTrading #DeFAI #Web3

AIIA DeFi

13,292 görüntüleme • 1 yıl önce

#WATCH | Mumbai, Maharashtra: When asked about how 3:15 PM cutoffs and closing auction price spreads are disrupting his algorithmic hedging and intraday risk management, with Securities and Exchange Board of India (SEBI) confirming Closing Auction Session (CAS) is permanent, Shrikant Chouhan, Head of Equity Research, Kotak Securities, says, "...If we go through with the CAS-related issues which are giving some kind of uneasiness for option traders... this time option traders, they are mainly affected. The reason is that between this time gap, the prices change a lot, and because of that, most of the time on the day of expiry, especially on the day of expiry, it actually impacts option traders, those who are like writers. Broadly, we are of the view that at present SEBI is holding a lot of meetings with brokers, traders, algo traders, and they are designing their framework... they are ready to make changes as per the difficulties which traders are facing... broadly, I am of the view that it may take some time, but in the next maybe 1-2 months, definitely something will come out concrete, and based on that, again, we can see normalisation in the market... till then, option traders, especially writers or those who are using algorithms, they are trying to stay away from the market because of which volatility has also come down sharply in the market. You can see the market is falling gradually, but at the same time, intraday volatility is very low. Even if we consider Volatility Index (VIX), India's VIX index, that is also close to 11 or maybe 11.5 sort of levels, which is the lowest... it means that option traders are not active in this market. That is why I am of the view that it will take some time to come to normalcy. But eventually, definitely, we will come out with something that will help traders, option traders, I mean to say, in terms of managing their risk. It's not that they can increase their volume and all because our government is primarily focusing on controlling this particular speculative activity... they are trying to control that, and maybe because of that, I think they will come out with something which is very balanced."
3:56

#WATCH | Mumbai, Maharashtra: When asked about how 3:15 PM cutoffs and closing auction price spreads are disrupting his algorithmic hedging and intraday risk management, with Securities and Exchange Board of India (SEBI) confirming Closing Auction Session (CAS) is permanent, Shrikant Chouhan, Head of Equity Research, Kotak Securities, says, "...If we go through with the CAS-related issues which are giving some kind of uneasiness for option traders... this time option traders, they are mainly affected. The reason is that between this time gap, the prices change a lot, and because of that, most of the time on the day of expiry, especially on the day of expiry, it actually impacts option traders, those who are like writers. Broadly, we are of the view that at present SEBI is holding a lot of meetings with brokers, traders, algo traders, and they are designing their framework... they are ready to make changes as per the difficulties which traders are facing... broadly, I am of the view that it may take some time, but in the next maybe 1-2 months, definitely something will come out concrete, and based on that, again, we can see normalisation in the market... till then, option traders, especially writers or those who are using algorithms, they are trying to stay away from the market because of which volatility has also come down sharply in the market. You can see the market is falling gradually, but at the same time, intraday volatility is very low. Even if we consider Volatility Index (VIX), India's VIX index, that is also close to 11 or maybe 11.5 sort of levels, which is the lowest... it means that option traders are not active in this market. That is why I am of the view that it will take some time to come to normalcy. But eventually, definitely, we will come out with something that will help traders, option traders, I mean to say, in terms of managing their risk. It's not that they can increase their volume and all because our government is primarily focusing on controlling this particular speculative activity... they are trying to control that, and maybe because of that, I think they will come out with something which is very balanced."

ANI

37,157 görüntüleme • 12 gün önce

Slow down. Read what real traders are saying: Our student results speak for themselves — consistent growth, clarity, and full independence. It’s not your strategy — it’s your ability to align the market environment and volatility condition and turn the right system, measured move and risk profile on. You’ll learn how to: • Know when to engage • Size correctly for volatility • Match risk profile to measured move expectancy • Keep your account alive long enough to compound 3 months for $100 includes: • OHLC Probability Engine – Intraday candle outcome modeling • HOD/LOD Scenario Tracker – Stat-based market context overlays • Time-Range Sequencer – Real-time session and volatility structuring • Monte Carlo Risk Suite – Trade modeling and position sizing engine • Decision Journal System – Trade review and probabilistic scoring tools We don’t cherry-pick trades or showcase payouts from one of hundreds of hidden prop accounts. We trade live — show all account, all execution, every day. Wins and losses. No magic. Just process. Our goal is to give you a complete, independent foundation — so by the end of three months, you no longer rely on anyone but your process, your decision making and your risk management. Sign up at Austin Clark Trades Dont Lie
1:48

Slow down. Read what real traders are saying: Our student results speak for themselves — consistent growth, clarity, and full independence. It’s not your strategy — it’s your ability to align the market environment and volatility condition and turn the right system, measured move and risk profile on. You’ll learn how to: • Know when to engage • Size correctly for volatility • Match risk profile to measured move expectancy • Keep your account alive long enough to compound 3 months for $100 includes: • OHLC Probability Engine – Intraday candle outcome modeling • HOD/LOD Scenario Tracker – Stat-based market context overlays • Time-Range Sequencer – Real-time session and volatility structuring • Monte Carlo Risk Suite – Trade modeling and position sizing engine • Decision Journal System – Trade review and probabilistic scoring tools We don’t cherry-pick trades or showcase payouts from one of hundreds of hidden prop accounts. We trade live — show all account, all execution, every day. Wins and losses. No magic. Just process. Our goal is to give you a complete, independent foundation — so by the end of three months, you no longer rely on anyone but your process, your decision making and your risk management. Sign up at Austin Clark Trades Dont Lie

The Daily Profiler

17,803 görüntüleme • 8 ay önce

a quant at a prop firm showed me a 5x5 grid on a napkin said: > this is our entire edge. we don't predict price. we predict which box the market is in and where that box historically leads i didn't understand it for weeks. then it clicked never looked at a chart the same way since grid is called a Markov Chain transition matrix. the math is from 1906, it's in every probability textbook on earth and hedge funds use it because it asks a completely different question than retail traders ever ask retail: will this go up or down quant: what state is this market in, and where does this state typically go every market lives in one of maybe 5-6 states at any given moment tight range, volatility compression, trending with momentum, post-spike reversal, pre-breakout coil not random labels - clusters you identify from actual data using volatility, volume, and momentum readings stacked together once you have the states, you build the matrix: P(state 2 -> state 4) = 73% P(state 4 -> state 1) = 61% P(state 1 -> state 3) = 68% each cell is a historical probability. now when the market is in state 2, you're not guessing you're betting on 73% historical completion. you size it with Kelly. you take the trade when the math says to, not when it feels right i built this on BTC using 2 years of 4-hour data. identified 5 states one i labeled "volatility compression below 20-day mean for 6+ consecutive candles" transitioned to a directional move above 1.8 ATR in 71% of cases average reward/risk on those trades: 5.4 that's not prediction. that's reading a probability table the market keeps filling in for you every single day the part that should bother you: the data to build this is free. the framework is in any quant textbook python to implement it is maybe 200 lines what Renaissance Technologies has that you don't isn't secret data or proprietary signals it's this framework applied to higher-resolution data with more sophisticated state definitions you're not missing information you're asking the wrong question every single time you open a chart
0:26

a quant at a prop firm showed me a 5x5 grid on a napkin said: > this is our entire edge. we don't predict price. we predict which box the market is in and where that box historically leads i didn't understand it for weeks. then it clicked never looked at a chart the same way since grid is called a Markov Chain transition matrix. the math is from 1906, it's in every probability textbook on earth and hedge funds use it because it asks a completely different question than retail traders ever ask retail: will this go up or down quant: what state is this market in, and where does this state typically go every market lives in one of maybe 5-6 states at any given moment tight range, volatility compression, trending with momentum, post-spike reversal, pre-breakout coil not random labels - clusters you identify from actual data using volatility, volume, and momentum readings stacked together once you have the states, you build the matrix: P(state 2 -> state 4) = 73% P(state 4 -> state 1) = 61% P(state 1 -> state 3) = 68% each cell is a historical probability. now when the market is in state 2, you're not guessing you're betting on 73% historical completion. you size it with Kelly. you take the trade when the math says to, not when it feels right i built this on BTC using 2 years of 4-hour data. identified 5 states one i labeled "volatility compression below 20-day mean for 6+ consecutive candles" transitioned to a directional move above 1.8 ATR in 71% of cases average reward/risk on those trades: 5.4 that's not prediction. that's reading a probability table the market keeps filling in for you every single day the part that should bother you: the data to build this is free. the framework is in any quant textbook python to implement it is maybe 200 lines what Renaissance Technologies has that you don't isn't secret data or proprietary signals it's this framework applied to higher-resolution data with more sophisticated state definitions you're not missing information you're asking the wrong question every single time you open a chart

Livsun

188,928 görüntüleme • 3 ay önce

One common reason why traders blow up is because of poor position sizing. In other words, how much do you bet on a trade. You can be right on direction 60% of the time and still lose everything if you size your positions poorly. One oversized trade can wipe out months of gains. This is why position sizing is a big part of risk management. Sandeep Rao - SEBI Reg. RA🖖 recently spoke to Tom Basso, one of the original Market Wizards, to discuss his approach to trading. I was listening to the interview and the one thing that stood out to me was how Tom's thinking on position sizing evolved over decades. He started simple: risk the same percentage of equity on every trade, inspired by Larry Hite's philosophy that every bet should be equal in terms of potential loss. But then came a silver trade with explosive volatility. Clients were calling, nervous about the wild swings. So he realized it wasn't just about the amount you could lose—it was also about the speed of movement. High volatility creates psychological stress that leads to poor decisions. So he added a second layer: volatility as a percentage of equity. Now he'd calculate both risk % and volatility %, then take the smaller of the two. Then came the third refinement: margin-to-equity ratios. Some markets have deceptively low risk and volatility but require high margin because of sudden jump risk. By incorporating all three factors, he never got caught overexposed. The result was a position sizing system that automatically scales down when markets get too volatile, protects against margin squeezes, and keeps portfolio risk in check. It's really interesting conversation. Link to the full interview is in the comments.
4:58

One common reason why traders blow up is because of poor position sizing. In other words, how much do you bet on a trade. You can be right on direction 60% of the time and still lose everything if you size your positions poorly. One oversized trade can wipe out months of gains. This is why position sizing is a big part of risk management. Sandeep Rao - SEBI Reg. RA🖖 recently spoke to Tom Basso, one of the original Market Wizards, to discuss his approach to trading. I was listening to the interview and the one thing that stood out to me was how Tom's thinking on position sizing evolved over decades. He started simple: risk the same percentage of equity on every trade, inspired by Larry Hite's philosophy that every bet should be equal in terms of potential loss. But then came a silver trade with explosive volatility. Clients were calling, nervous about the wild swings. So he realized it wasn't just about the amount you could lose—it was also about the speed of movement. High volatility creates psychological stress that leads to poor decisions. So he added a second layer: volatility as a percentage of equity. Now he'd calculate both risk % and volatility %, then take the smaller of the two. Then came the third refinement: margin-to-equity ratios. Some markets have deceptively low risk and volatility but require high margin because of sudden jump risk. By incorporating all three factors, he never got caught overexposed. The result was a position sizing system that automatically scales down when markets get too volatile, protects against margin squeezes, and keeps portfolio risk in check. It's really interesting conversation. Link to the full interview is in the comments.

Nithin Kamath

59,296 görüntüleme • 8 ay önce

The terms of global growth are changing. On September 20, the #QatarEconomicForum comes to New York for a special edition during UNGA week, bringing together global leaders, CEOs and investors to examine where capital moves next, how risk is being reshaped and what it takes to build durable growth in an era of volatility. Join us for Growth on New Terms: Capital, Risk & What Comes Next.
0:34

The terms of global growth are changing. On September 20, the #QatarEconomicForum comes to New York for a special edition during UNGA week, bringing together global leaders, CEOs and investors to examine where capital moves next, how risk is being reshaped and what it takes to build durable growth in an era of volatility. Join us for Growth on New Terms: Capital, Risk & What Comes Next.

QatarEconForum

10,331 görüntüleme • 5 gün önce

Mastering MSTR Implied Volatility & MARKET SENTIMENT. What are high return players currently doing? I know Josh Man is packing his bags before the Ides of March, and Jeff Walton scooped up some July $500 Calls last week. Not to mention @Z06Z07 and Dan Hillery. I know they are bullish! That's why in this video I explore this question: what is IV and what does it tell us about Q4 MSTR's Price rally and recent slowdown? Topics: - Understanding Implied Volatility (IV) and its insights - Market Sentiment Shifts: Q4 MSTR Rally vs. Recent Slowdown - Current Market Expectation of MSTR future price movements P.s. skip to minute 1:20 if you are already very familiar with IV. Also, this is NOT financial advice. I just look at data and describe what I see to guide my option decisions. #MSTR #Bitcoin
5:01

Mastering MSTR Implied Volatility & MARKET SENTIMENT. What are high return players currently doing? I know Josh Man is packing his bags before the Ides of March, and Jeff Walton scooped up some July $500 Calls last week. Not to mention @Z06Z07 and Dan Hillery. I know they are bullish! That's why in this video I explore this question: what is IV and what does it tell us about Q4 MSTR's Price rally and recent slowdown? Topics: - Understanding Implied Volatility (IV) and its insights - Market Sentiment Shifts: Q4 MSTR Rally vs. Recent Slowdown - Current Market Expectation of MSTR future price movements P.s. skip to minute 1:20 if you are already very familiar with IV. Also, this is NOT financial advice. I just look at data and describe what I see to guide my option decisions. #MSTR #Bitcoin

Enea₿⚡️

18,506 görüntüleme • 1 yıl önce