Analyst Olivia

You’ve been taught oxygen is what keeps you surviving yet this is false
Oxygen is actually what causes your cells to age
When an apple turns brown after exposed to oxygen , it is called oxidation
The only reason things actually decay and get old is because of oxidation
Every living thing has electrical energy similiar to a battery , these are called electrons
In the same way that when a battery runs out of power it dies , this is the same way you die when you run out of electrons
Oxygen creates free radicals otherwise known as reactive oxygen species which actually steal the electrons from your cells
By the time a person is 80-100 nearly all of their electrons are gone so you begin to shrivel up due to lack of electrons
Everyday you are paying an oxygen tax by breathing in this toxic gas thus everyday you are getting older
Aging is actually unnatural because oxygen is actually unnatural , it was put here to shorten our lifespan so that we incarnate quicker
In recent times they have added chemtrails to accelerate the electron stealing process, block your pineal gland and keep you trap as a food source to power up their A.I God
We used to have lifespans in the 900s and beyond before the oxygen hijack(Old Testament ring a bell)
The entities responsible for pumping oxygen into our atmosphere live for thousands of years, this is how they have advanced technology
Yet you don’t live long enough to create anything substantial so you become obsessed with procreation and legacy as a result
The truth is you can live as long as you want , and stay young while doing it if you know how create an abundance of electrons within you
Thus when oxygen comes into your system to steal your life force(electrons) you have more than enough because you live in the frequency of abundance
If you lose more electrons than you gain per day , you age
If you gain and lose equal electrons per day , you stop aging
Yet if you gain more electrons per day , you effectively reverse age
When you are a baby you have the highest amount of electrons/sexual energy which is why the dark elite kidnap and drain them the most to extend their lives
Most diseases are simply your electrons being stolen from your organs by oxygen, parasites , the dead food you eat , the sex you have ect
The best way to build and harness electrons so that you’re no longer harvested and recycled by the parasitic entities is to perform se*ual alchemy
This ancient ritual practice builds and transmutes massive sexual energy(electrons/life force) in your body while moving your energy into your higher chakras to power up the rest of your multidimensional nature
YOU DESERVE TO LIVE FOREVER
YOU DESERVE TO BE SOVEREIGN
YOU DESERVE TO LIVE IN ABUNDANCE

~ Olivia Jane 🥰

✨🙌🏾💫

If you are feeling down about your trading losses, this article may help put them into perspective. These losses show how crucial it is to have a price level that indicates you were wrong and that you need to stop out. There is no reason to ever take a huge loss to your trading capital. Position sizing, stop losses, and managing the risk of ruin are the first jobs of a trader; growing capital comes second.
"Two basic rules: (1) if you don't bet, you can't win. (2) If you lose all your chips, you can't bet." -Larry Hite
Here are 12 of the biggest trading losses of all time. Heed the lessons of these tragedies and realize that the traders on the other side of these trades made a huge amount of money,
12.:, German billionaire Adolf Merckle one of the 100 richest people in the world, killed himself by jumping in front of a train—emotionally "broken" over a bad bet on Volkswagen in 2008.
Merckle's business interests came out on the wrong side of 2008′s short squeeze of Volkswagen. Rival Porsche quietly cornered the market in Volkswagen shares, and when it revealed the extent of its stake, the price of Volkswagen stock shot up to levels that briefly made it the world's most valuable corporation. Many hedge funds that had bet against Volkswagen shares lost huge amounts of money, while Porsche made billions in profit.
Merckle, whose personal wealth was estimated at more than $9 billion, reportedly lost $1 billion alone on Volkswagen stock, which shocked his employees. The loss led to margin calls from other creditors and threatened to unravel his entire private business empire.
#11: Nelson Bunker Hunt and William Herbert Hunt, the sons of Texas oil billionaire Haroldson Lafayette Hunt, Jr., had for some time been attempting to corner the market in silver.
The Hunt brothers had invested heavily in futures contracts through several brokers, including the brokerage firm Bache Halsey Stuart Shields, later Prudential-Bache Securities and Prudential Securities. When the price of silver dropped below their minimum margin requirement, they were issued a margin call for $100 million. The Hunts were unable to meet the margin call, and, with the brothers facing a potential $1.7 billion loss, the ensuing panic was felt across financial markets, as well as in commodities and futures. Many government officials feared that if the Hunts were unable to meet their debts, some large Wall Street brokerage firms and banks might collapse.
To save the situation, a consortium of US banks provided a $1.1 billion line of credit to the brothers, which allowed them to pay Bache, which, in turn, survived the ordeal. The U.S. Securities and Exchange Commission (SEC) later launched an investigation into the Hunt brothers, who had failed to disclose that they in fact held a 6.5% stake in Bache. Full Article
#10: Under the leadership of CEO Heinz Schimmelbusch, German metals and engineering giant Metallgellschaft was on the brink of bankruptcy after losing $1.3 billion on speculative bets. The firm bet on an increase in oil prices in oil futures markets, but oil prices dropped instead. Full Article
#9: Robert Citron lost $1.7 billion for Orange County, California, forcing it into Chapter 9 bankruptcy. In 1994, Citron was Treasurer-Tax Collector for Orange County, California. As treasurer, Citron used a series of highly leveraged deals, including repurchase agreements and floating-rate notes.
#8: Although much success within the financial markets arises from immediate short-term turbulence and the ability of fund managers to identify informational asymmetries, factors giving rise to the downfall of the fund were established prior to the 1997 East Asian financial crisis. In May and June 1998, the fund's returns were -6.42% and -10.14%, respectively, reducing LTCM's capital by $461 million.
This was further aggravated by Salomon Brothers' exit from the arbitrage business in July 1998. Such losses were accentuated through the Russian financial crisis in August and September 1998, when the Russian Government defaulted on its government bonds. Panicked investors sold Japanese and European bonds to buy U.S. Treasury bonds. The profits that were supposed to accrue as the value of these bonds converged turned into huge losses as the bonds' value diverged. By the end of August, the fund had lost $1.85 billion in capital.
As a result of these losses, LTCM had to liquidate a number of its positions at an unfavorable time and suffered further losses. A good illustration of the consequences of these forced liquidations is given by Lowenstein (2000). He reports that LTCM established an arbitrage position in the dual-listed company Royal Dutch Shell (or “DLC”) in the summer of 1997, when Royal Dutch traded at an 8-10% premium relative to Shell. In total, $2.3 billion was invested, half of which was “long” in Shell and the other half was “short” in Royal Dutch.
LTCM was essentially betting that the share prices of Royal Dutch and Shell would converge. This might have happened in the long run, but because of its losses in other positions, LTCM had to unwind its Royal Dutch Shell position. Lowenstein reports that Royal Dutch's premium had increased to about 22%, suggesting that LTCM incurred a large loss on this arbitrage strategy. LTCM lost $286 million in equity pairs trading, and more than half of this loss is accounted for by the Royal Dutch Shell trade.
The company, which had been delivering annual returns of almost 40% up to this point, experienced a flight to liquidity. In the first three weeks of September, LTCM's equity tumbled from $2.3 billion at the start of the month to just $400 million by September 25. With liabilities still over $100 billion, this translated to an effective leverage ratio of more than 250-to-1. Full Article
#7: A rogue trader lost UBS $2.3 billion on unauthorized trades in the bank's London office, leading to the resignation of the CEO. In September 2011, UBS revealed an unexpected $2.3 billion loss believed to be caused by a lone rogue trader in the bank's London office. Kweku Adoboli, 31, who worked on UBS's Delta One desk, was identified as the alleged rogue trader.
#6: In 2008, a Brazilian pulp maker lost $2.5 billion on currency bets. At the time, Aracruz was the world's biggest producer of bleached eucalyptus pulp. In 2008, the firm lost big time on Forex trades when it bet that Brazil’s Real would appreciate in an effort to hedge against a weaker dollar. Brazil's Real ended up tanking.
#5: In 1996, Sumitomo's chief trader attempted to corner the copper market and lost $2.6 billion. He went to prison. Yasuo Hamakana, who was once nicknamed "Mr. Five Percent" and "Mr. Copper" for his aggressive trading style in the copper market, caused Sumitomo to lose $2.6 billion due to his unauthorized copper trades on the London Metal Exchange.
#4: Bank officials claim that throughout 2007, Jerome Kerviel had been trading profitably in anticipation of falling market prices; however, they have accused him of exceeding his authority to engage in unauthorized trades totaling as much as €49.9 billion, a figure far higher than the bank's total market capitalization. Bank officials claim that Kerviel tried to conceal the activity by intentionally creating losing trades to offset his early gains. According to the BBC, Kerviel generated €1.4 billion in hidden profits by the end of 2007. His employers say they uncovered unauthorized trading traced to Kerviel on January 19, 2008. The bank then closed out these positions over three days of trading beginning January 21, 2008, a period when the market was experiencing a large drop in equity indices, and the losses attributed are estimated at €4.9 billion. Full Article
#3: In April 2005, Brian Hunter was, reportedly, offered a $1 million bonus to join SAC Capital Partners. Nicholas Maounis, founder of Amaranth Advisors, refused to let Hunter go. Maounis named Hunter co-head of the firm's energy desk and gave him control of his own trades. In 2006, his analysis led him to believe that winter 2006–07 gas prices would rise relative to summer and fall; accordingly, Hunter went long on winter delivery contracts, simultaneously shorting the near (summer/fall) contracts. When the market turned sharply against this view, the fund was hard-pressed to maintain its positions due to a lack of margin money. Once the margin requirements crossed USD 3 billion, around September 2006, the fund offloaded some of these positions, ultimately selling them entirely to JP Morgan and Citadel for USD 2.5 billion. The fund ultimately took a $6.6-billion loss and was dissolved entirely. Full Article
#2: Bruno Michel Iksil, nicknamed the London Whale (for his risky trades) and Voldemort (for his supposed power on Wall Street), is a trader who worked for the London office of JPMorgan Chase and is held responsible for losses up to $9 billion. Reportedly, he began working for JPMorgan in 2005 and lives in Paris, commuting to London. It is thought that Iksil, who is said to guard his privacy, is married with four children. Full Article
#1: In 2007, Morgan Stanley lost $9 billion on disastrous subprime mortgage bets, and heads were rolling. Hubler, now a former mortgage trader at Morgan Stanley, featured in Michael Lewis' "The Big Short," lost the bank $9 billion on bets in the subprime housing market.

I didn’t expect memory to become something I would notice while using a protocol like Sign.
Usually, every new platform feels like a reset. You connect your wallet, go through steps, and repeat the same process you’ve done elsewhere. It becomes routine, but also a bit tiring over time.
With Sign, that feeling is slightly different.
You can usually tell when a system remembers something about you, even if it doesn’t say it directly. I started noticing this when I didn’t have to re-qualify for certain conditions I had already met before. It wasn’t highlighted, but it was there.
That’s where things get interesting. The system isn’t asking the same questions again and again. It’s quietly recognizing what has already been verified.
Here in the Middle East, where many users are still exploring how to interact with Web3 systems, repetition can slow things down. If every step feels like starting from zero, people lose patience quickly.
What I’m seeing with Sign is a different approach. It allows previous actions to stay relevant without forcing users to prove everything again. The process feels lighter, but not less structured.
After a few interactions, it becomes obvious that memory is playing a role. Not in a visible way, but enough to change how you move through different opportunities.
You begin to rely on the idea that what you’ve already done still matters somewhere in the background.
And once that thought settles in, the experience starts to feel a bit more connected, even if nothing explicitly points it out.
#SignDigitalSovereignInfra
$SIGN
@SignOfficial

CRT also known as Candle range theory is one of the most reliable and accurate setup you will see in the Forex trading.

Here's a brief breakdown of how it really works and how to apply it correctly for Maximum profitability.

How it works 👇🏾

A strong candle usually forms on higher timeframes like 4hrs or Daily timeframe that creates the range from its high to its low. This range represents a mini market structure on lower timeframes
The second candle that forms is the manipulation candle which is the candle that sweeps liquidity. Price tends to sweep one side of the range first either the high or low, then reverse and move toward the opposite side. That sweep is where smart money traps retail traders.
The third and last candle that forms is the confirmation candle and it forms only after a liquidity raid of the first candle by the second candle (manipulation candle). If the second candle raids the first candle high then expect a continuation downward by the third candle
The same thing happens when the second candle sweeps the liquidity of the first candle low. When this happens expect a continuation upward by the third candle
This is similar to Accumulation, Manipulation and Distribution but it happens only with few candle
But here is one condition that makes this setup valid.
The liquidity sweep must be done only by the wick of the second candle or any subsequent candle that sweeps the liquidity of the first and not the body and it must return back into the range of the first candle
How to trade it for Maximum profitability
Identify a strong higher timeframe candle
Wait for the price to enter its range
Look for a liquidity sweep
Drop to lower timeframes like 5mins or 15mins for confirmations like FVG, BOS, OB
Target the opposite side of Candle.

CRT model is 70-90% accurate when combined with price action tools like FVGS and Order blocks which makes it's accumulation manipulation and distribution move very reliable especially in higher timeframes

Note that all teachings here are based on technical analysis and personal discoveries and are not in any way a financial advice for future trading. Trading in the financial markets is solely on personal decisions and no one is responsible for any form of losses incurred the candle.
ANALYST OLIVIA 🌼🌼🌼🌼🌼🌼🌼🌼

I’ve been thinking about consistency a lot while using different Web3 platforms. Not the kind that’s announced or promised, but the kind you feel after repeating the same actions a few times.
With most systems, consistency is hard to find. One day something works, the next day it doesn’t. You end up adjusting constantly, trying to figure out what changed.
While using Sign, that pattern feels a bit different.
It’s not that everything becomes predictable. But you can usually tell that the same inputs lead to similar outcomes. That’s where things get interesting. The system doesn’t surprise you in unnecessary ways.
I noticed this after interacting with a few different opportunities over time. The way eligibility was determined, the way access was given, it all followed a quiet structure. Nothing was explained directly, but it didn’t feel random either.
Here in the Middle East, where digital adoption is moving quickly, consistency plays a bigger role than people realize. When users feel like systems behave unpredictably, trust drops without them even noticing it.
What I’m seeing with Sign is a kind of underlying stability. It doesn’t demand attention, but it shapes the experience in the background.
After a while, you stop questioning every step. You begin to rely on the process without thinking too much about it.
And that shift is subtle, but important. Because when a system becomes consistent enough, you don’t focus on how it works anymore. You just continue using it, almost without noticing why it feels easier.
#SignDigitalSovereignInfra
$SIGN
@SignOfficial