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Wall Street Week Ahead for the trading week beginning June 29th, 2020
Good Saturday afternoon to all of you here on StockMarket. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead. Here is everything you need to know to get you ready for the trading week beginning June 29th, 2020.
Fragile economic recovery faces first big test with June jobs report in the week ahead - (Source)
The second half of 2020 is nearly here, and now it’s up to the economy to prove that the stock market was right about a sharp comeback in growth. The first big test will be the June jobs report, out on Thursday instead of its usual Friday release due to the July 4 holiday. According to Refinitiv, economists expect 3 million jobs were created, after May’s surprise gain of 2.5 million payrolls beat forecasts by a whopping 10 million jobs. “If it’s stronger, it will suggest that the improvement is quicker, and that’s kind of what we saw in May with better retail sales, confidence was coming back a little and auto sales were better,” said Kevin Cummins, chief U.S. economist at NatWest Markets. The second quarter winds down in the week ahead as investors are hopeful about the recovery but warily eyeing rising cases of Covid-19 in a number of states. Stocks were lower for the week, as markets reacted to rising cases in Texas, Florida and other states. Investors worry about the threat to the economic rebound as those states move to curb some activities. The S&P 500 is up more than 16% so far for the second quarter, and it is down nearly 7% for the year. Friday’s losses wiped out the last of the index’s June gains. “I think the stock market is looking beyond the valley. It is expecting a V-shaped economic recovery and a solid 2021 earnings picture,” said Sam Stovall, chief investment strategist at CFRA. He expects large-cap company earnings to be up 30% next year, and small-cap profits to bounce back by 140%. “I think the second half needs to be a ‘show me’ period, proving that our optimism was justified, and we’ll need to see continued improvement in the economic data, and I think we need to see upward revisions to earnings estimates,” Stovall said. Liz Ann Sonders, chief investment strategist at Charles Schwab, said she expects the recovery will not be as smooth as some expect, particularly considering the resurgence of virus outbreaks in sunbelt states and California. “Now as I watch what’s happening I think it’s more likely to be rolling Ws,” rather than a V, she said. “It’s not just predicated on a second wave. I’m not sure we ever exited the first wave.” Even without actual state shutdowns, the virus could slow economic activity. “That doesn’t mean businesses won’t shut themselves down, or consumers won’t back down more,” she said.
In the second half of the year, the market should turn its attention to the election, but Sonders does not expect much reaction to it until after Labor Day. RealClearPolitics average of polls shows Democrat Joe Biden leading President Donald Trump by 10 percentage points, and the odds of a Democratic sweep have been rising. Biden has said he would raise corporate taxes, and some strategists say a sweep would be bad for business, due to increased regulation and higher taxes. Trump is expected to continue using tariffs, which unsettles the market, though both candidates are expected to take a tough stance on China. “If it looks like the Senate stays Republican than there’s less to worry about in terms of policy changes,” Sonders said. “I don’t think it’s ever as binary as some people think.” Stovall said a quick study shows that in the four presidential election years back to 1960, where the first quarter was negative, and the second quarter positive, stocks made gains in the second half. Those were 1960 when John Kennedy took office, 1968, when Richard Nixon won; 1980 when Ronald Reagan’s was elected to his first term; and 1992, the first win by Bill Clinton. Coincidentally, in all of those years, the opposing party gained control of the White House.
The stocks market’s strong second-quarter showing came after the Fed and Congress moved quickly to inject the economy with trillions in stimulus. That unlocked credit markets and triggered a stampede by companies to restructure or issue debt. About $2 trillion in fiscal spending was aimed at consumers and businesses, who were in sudden need of cash after the abrupt shutdown of the economy. Fed Chairman Jerome Powell and Treasury Secretary Steven Mnuchin both testify before the House Financial Services Committee Tuesday on the response to the virus. That will be important as markets look ahead to another fiscal package from Congress this summer, which is expected to provide aid to states and local governments; extend some enhanced benefits for unemployment, and provide more support for businesses. “So much of it is still so fluid. There are a bunch of fiscal items that are rolling off. There’s talk about another fiscal stimulus payment like they did last time with a $1,200 check,” said Cummins. Strategists expect Congress to bicker about the size and content of the stimulus package but ultimately come to an agreement before enhanced unemployment benefits run out at the end of July. Cummins said state budgets begin a new year July 1, and states with a critical need for funds may have to start letting workers go, as they cut expenses. The Trump administration has indicated the jobs report Thursday could help shape the fiscal package, depending on what it shows. The federal supplement to state unemployment benefits has been $600 a week, but there is opposition to extending that, and strategists expect it to be at least cut in half. The unemployment rate is expected to fall to 12.2% from 13.3% in May. Cummins said he had expected 7.2 million jobs, well above the consensus, and an unemployment rate of 11.8%. As of last week, nearly 20 million people were collecting state unemployment benefits, and millions more were collecting under a federal pandemic aid program. “The magnitude here and whether it’s 3 million or 7 million is kind of hard to handicap to begin with,” Cummins said. Economists have preferred to look at unemployment claims as a better real time read of employment, but they now say those numbers could be impacted by slow reporting or double filing. “There’s no clarity on how you define the unemployed in the Covid 19 environment,” said Chris Rupkey, chief financial economist at MUFG Union Bank. “If there’s 30 million people receiving insurance, unemployment should be above 20%.
This past week saw the following moves in the S&P:
The economy is moving in the right direction, as many economic data points are coming in substantially better than what the economists expected. From May job gains coming in more than 10 million higher than expected and retail sales soaring a record 18%, how quickly the economy is bouncing back has surprised nearly everyone. “As good as the recent economic data has been, we want to make it clear, it could still take years for the economy to fully come back,” explained LPL Financial Senior Market Strategist Ryan Detrick. “Think of it like building a house. You get all the big stuff done early, then some of the small things take so much longer to finish; I’m looking at you crown molding.” Here’s the hard truth; it might take years for all of the jobs that were lost to fully recover. In fact, during the 10 recessions since 1950, it took an average of 30 months for lost jobs to finally come back. As the LPL Chart of the Day shows, recoveries have taken much longer lately. In fact, it took four years for the jobs lost during the tech bubble recession of the early 2000s to come back and more than six years for all the jobs lost to come back after the Great Recession. Given many more jobs were lost during this recession, it could takes many years before all of them indeed come back.
The economy is going the right direction, and if there is no major second wave outbreak it could surprise to the upside. Importantly, this economic recovery will still be a long and bumpy road.
Nasdaq - Russell Spread Pulling the Rubber Band Tight
The Nasdaq has been outperforming every other US-based equity index over the last year, and nowhere has the disparity been wider than with small caps. The chart below compares the performance of the Nasdaq and Russell 2000 over the last 12 months. While the performance disparity is wide now, through last summer, the two indices were tracking each other nearly step for step. Then last fall, the Nasdaq started to steadily pull ahead before really separating itself in the bounce off the March lows. Just to illustrate how wide the gap between the two indices has become, over the last six months, the Nasdaq is up 11.9% compared to a decline of 15.8% for the Russell 2000. That's wide!
In order to put the recent performance disparity between the two indices into perspective, the chart below shows the rolling six-month performance spread between the two indices going back to 1980. With a current spread of 27.7 percentage points, the gap between the two indices hasn't been this wide since the days of the dot-com boom. Back in February 2000, the spread between the two indices widened out to more than 50 percentage points. Not only was that period extreme, but ten months before that extreme reading, the spread also widened out to more than 51 percentage points. The current spread is wide, but with two separate periods in 1999 and 2000 where the performance gap between the two indices was nearly double the current level, that was a period where the Nasdaq REALLY outperformed small caps.
To illustrate the magnitude of the Nasdaq's outperformance over the Russell 2000 from late 1998 through early 2000, the chart below shows the performance of the two indices beginning in October 1998. From that point right on through March of 2000 when the Nasdaq peaked, the Nasdaq rallied more than 200% compared to the Russell 2000 which was up a relatively meager 64%. In any other environment, a 64% gain in less than a year and a half would be excellent, but when it was under the shadow of the surging Nasdaq, it seemed like a pittance.
The US equity market made its most recent peak on June 8th. From the March 23rd low through June 8th, the average stock in the large-cap Russell 1,000 was up more than 65%! Since June 8th, the average stock in the index is down more than 11%. Below we have broken the index into deciles (10 groups of 100 stocks each) based on simple share price as of June 8th. Decile 1 (marked "Highest" in the chart) contains the 10% of stocks with the highest share prices. Decile 10 (marked "Lowest" in the chart) contains the 10% of stocks with the lowest share prices. As shown, the highest priced decile of stocks are down an average of just 4.8% since June 8th, while the lowest priced decile of stocks are down an average of 21.5%. It's pretty remarkable how performance gets weaker and weaker the lower the share price gets.
It's hard to believe that sentiment can change so fast in the market that one day investors and traders are bidding up stocks to record highs, but then the next day sell them so much that it takes the market down over 2%. That's exactly what happened not only in the last two days but also two weeks ago. While the 5% pullback from a record high back on June 10th took the Nasdaq back below its February high, this time around, the Nasdaq has been able to hold above those February highs.
In the entire history of the Nasdaq, there have only been 12 periods prior to this week where the Nasdaq closed at an all-time high on one day but dropped more than 2% the next day. Those occurrences are highlighted in the table below along with the index's performance over the following week, month, three months, six months, and one year. We have also highlighted each occurrence that followed a prior one by less than three months in gray. What immediately stands out in the table is how much gray shading there is. In other words, these types of events tend to happen in bunches, and if you count the original occurrence in each of the bunches, the only two occurrences that didn't come within three months of another occurrence (either before or after) were July 1986 and May 2017. In terms of market performance following prior occurrences, the Nasdaq's average and median returns were generally below average, but there is a pretty big caveat. While the average one-year performance was a gain of 1.0% and a decline of 23.6% on a median basis, the six occurrences that came between December 1999 and March 2000 all essentially cover the same period (which was very bad) and skew the results. Likewise, the three occurrences in the two-month stretch from late November 1998 through January 1999 where the Nasdaq saw strong gains also involves a degree of double-counting. As a result of these performances at either end of the extreme, it's hard to draw any trends from the prior occurrences except to say that they are typically followed by big moves in either direction. The only time the Nasdaq wasn't either 20% higher or lower one year later was in 1986.
In the mid-1980s the market began to evolve into a tech-driven market and the market’s focus in early summer shifted to the outlook for second quarter earnings of technology companies. Over the last three trading days of June and the first nine trading days in July, NASDAQ typically enjoys a rally. This 12-day run has been up 27 of the past 35 years with an average historical gain of 2.5%. This year the rally may have begun a day early, today and could last until on or around July 14. After the bursting of the tech bubble in 2000, NASDAQ’s mid-year rally had a spotty track record from 2002 until 2009 with three appearances and five no-shows in those years. However, it has been quite solid over the last ten years, up nine times with a single mild 0.1% loss in 2015. Last year, NASDAQ advanced a solid 4.6% during the 12-day span.
Tech Historically Leads Market Higher Until Q3 of Election Years
As of yesterday’s close DJIA was down 8.8% year-to-date. S&P 500 was down 3.5% and NASDAQ was up 12.1%. Compared to the typical election year, DJIA and S&P 500 are below historical average performance while NASDAQ is above average. However this year has not been a typical election year. Due to the covid-19, the market suffered the damage of the shortest bear market on record and a new bull market all before the first half of the year has come to an end. In the surrounding Seasonal Patten Charts of DJIA, S&P 500 and NASDAQ, we compare 2020 (as of yesterday’s close) to All Years and Election Years. This year’s performance has been plotted on the right vertical axis in each chart. This year certainly has been unlike any other however some notable observations can be made. For DJIA and S&P 500, January, February and approximately half of March have historically been weak, on average, in election years. This year the bear market ended on March 23. Following those past weak starts, DJIA and S&P 500 historically enjoyed strength lasting into September before experiencing any significant pullback followed by a nice yearend rally. NASDAQ’s election year pattern differs somewhat with six fewer years of data, but it does hint to a possible late Q3 peak.
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Micron Technology, Inc. $48.49
Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, June 29, 2020. The consensus earnings estimate is $0.71 per share on revenue of $5.27 billion and the Earnings Whisper ® number is $0.70 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for earnings of $0.40 to $0.70 per share. Consensus estimates are for earnings to decline year-over-year by 29.00% with revenue increasing by 10.07%. Short interest has increased by 7.6% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release to be 0.9% below its 200 day moving average of $48.94. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 11, 2020 there was some notable buying of 46,037 contracts of the $60.00 call expiring on Friday, July 17, 2020. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 8.4% move in recent quarters.
General Mills, Inc. (GIS) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.04 per share on revenue of $4.89 billion and the Earnings Whisper ® number is $1.10 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 25.30% with revenue increasing by 17.50%. Short interest has decreased by 9.4% since the company's last earnings release while the stock has drifted higher by 2.7% from its open following the earnings release to be 7.8% above its 200 day moving average of $54.91. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, June 24, 2020 there was some notable buying of 8,573 contracts of the $60.00 call expiring on Friday, July 17, 2020. Option traders are pricing in a 6.6% move on earnings and the stock has averaged a 3.0% move in recent quarters.
FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $1.42 per share on revenue of $16.31 billion and the Earnings Whisper ® number is $1.65 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 71.66% with revenue decreasing by 8.41%. Short interest has increased by 10.4% since the company's last earnings release while the stock has drifted higher by 43.9% from its open following the earnings release to be 7.6% below its 200 day moving average of $140.75. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 25, 2020 there was some notable buying of 1,768 contracts of the $145.00 call expiring on Thursday, July 2, 2020. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 7.7% move in recent quarters.
Conagra Brands, Inc. (CAG) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.66 per share on revenue of $3.24 billion and the Earnings Whisper ® number is $0.69 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 83.33% with revenue increasing by 23.99%. Short interest has decreased by 38.3% since the company's last earnings release while the stock has drifted higher by 6.3% from its open following the earnings release to be 6.4% above its 200 day moving average of $30.68. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 11, 2020 there was some notable buying of 3,239 contracts of the $29.00 put expiring on Thursday, July 2, 2020. Option traders are pricing in a 4.7% move on earnings and the stock has averaged a 10.8% move in recent quarters.
Constellation Brands, Inc. (STZ) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.91 per share on revenue of $1.97 billion and the Earnings Whisper ® number is $2.12 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 13.57% with revenue decreasing by 13.69%. Short interest has increased by 20.8% since the company's last earnings release while the stock has drifted higher by 25.2% from its open following the earnings release to be 5.2% below its 200 day moving average of $178.34. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, June 9, 2020 there was some notable buying of 888 contracts of the $195.00 call expiring on Friday, October 16, 2020. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 5.7% move in recent quarters.
Capri Holdings Limited (CPRI) is confirmed to report earnings at approximately 6:30 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $0.32 per share on revenue of $1.18 billion and the Earnings Whisper ® number is $0.34 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat The company's guidance was for earnings of $0.68 to $0.73 per share. Consensus estimates are for earnings to decline year-over-year by 49.21% with revenue decreasing by 12.20%. Short interest has increased by 35.1% since the company's last earnings release while the stock has drifted lower by 56.7% from its open following the earnings release to be 44.0% below its 200 day moving average of $25.67. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 4, 2020 there was some notable buying of 11,042 contracts of the $17.50 put expiring on Friday, August 21, 2020. Option traders are pricing in a 10.8% move on earnings and the stock has averaged a 6.7% move in recent quarters.
X Financial (XYF) is confirmed to report earnings at approximately 5:00 PM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.09 per share. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 55.00% with revenue increasing by 763.52%. Short interest has increased by 1.0% since the company's last earnings release while the stock has drifted lower by 1.2% from its open following the earnings release to be 37.7% below its 200 day moving average of $1.47. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 4.9% move on earnings in recent quarters.
Acuity Brands, Inc. (AYI) is confirmed to report earnings at approximately 8:40 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $1.14 per share on revenue of $809.25 million and the Earnings Whisper ® number is $1.09 per share. Investor sentiment going into the company's earnings release has 42% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 51.90% with revenue decreasing by 14.60%. Short interest has increased by 48.5% since the company's last earnings release while the stock has drifted higher by 2.4% from its open following the earnings release to be 23.4% below its 200 day moving average of $110.25. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 8.2% move in recent quarters.
Methode Electronics, Inc. (MEI) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.77 per share on revenue of $211.39 million. Investor sentiment going into the company's earnings release has 45% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 24.19% with revenue decreasing by 20.53%. Short interest has increased by 6.2% since the company's last earnings release while the stock has drifted lower by 1.7% from its open following the earnings release to be 9.0% below its 200 day moving average of $32.97. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 18.4% move on earnings and the stock has averaged a 8.1% move in recent quarters.
UniFirst Corporation (UNF) is confirmed to report earnings at approximately 8:00 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.17 per share on revenue of $378.28 million and the Earnings Whisper ® number is $1.25 per share. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.44% with revenue decreasing by 16.63%. Short interest has decreased by 2.7% since the company's last earnings release while the stock has drifted higher by 14.1% from its open following the earnings release to be 8.4% below its 200 day moving average of $186.14. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 7.0% move on earnings in recent quarters.
2 months back at trading (update) and some new questions
Hi all, I posted a thread back a few months ago when I started getting seriously back into trading after 20 years away. I thought I'd post an update with some notes on how I'm progressing. I like to type, so settle in. Maybe it'll help new traders who are exactly where I was 2 months ago, I dunno. Or maybe you'll wonder why you spent 3 minutes reading this. Risk/reward, yo. I'm trading 5k on TastyWorks. I'm a newcomer to theta positive strategies and have done about two thirds of my overall trades in this style. However, most of my experience in trading in the past has been intraday timeframe oriented chart reading and momentum stuff. I learned almost everything "new" that I'm doing from TastyTrade, /options, /thetagang, and Option Alpha. I've enjoyed the material coming from esinvests YouTube channel quite a bit as well. The theta gang type strategies I've done have been almost entirely around binary event IV contraction (mostly earnings, but not always) and in most cases, capped to about $250 in risk per position. The raw numbers: Net PnL : +247 Commissions paid: -155 Fees: -42 Right away what jumps out is something that was indicated by realdeal43 and PapaCharlie9 in my previous thread. This is a tough, grindy way to trade a small account. It reminds me a little bit of when I was rising through the stakes in online poker, playing $2/4 limit holdem. Even if you're a profitable player in that game, beating the rake over the long term is very, very hard. Here, over 3 months of trading a conservative style with mostly defined risk strategies, my commissions are roughly equal to my net PnL. That is just insane, and I don't even think I've been overtrading. 55 trades total, win rate of 60%
33 purely directional trades - 57.5% win
18 long call or long put positions, +692, 55% win
15 call or put verticals, -121, 60% win
22 neutral / other trades
13 iron condors, +345, 77% win rate
7 strangles, -163, 71% win rate
1 straddle, -310, 0% win rate
1 butterfly, -83, 0% win rate
PTON call purchased and held through earnings, sold the morning of announcement +410
Trading the range on the daily chart in GLD from 158 up to 165, a mix of various calls +245
NKLA 30 put purchased before the close on the day it went north of 100, just a pure fade +215
EWZ 22/26 strangle that I held just way too long as it beat me up day after day from May 20-Jun 3, -316
ZM pre earnings vertical, fading another 2 SD move (the day it hit 200 for the first time). Was expecting a post-earnings selloff given the magnitude of the up move. Stock basically hasn't had a down tick since. Max loss -247
EWW 29 straddle, put on around the same time as the EWZ strangle. Rolled from Jun to Jul to no avail. Out at a -310 loss.
This is pretty much where I expected to be while learning a bunch of new trading techniques. And no, this is not a large sample size so I have no idea whether or not I can be profitable trading this way (yet). I am heartened by the fact that I seem to be hitting my earnings trades and selling quick spikes in IV (like weed cures Corona day). I'm disheartened that I've went against my principles several times, holding trades for longer than I originally intended, or letting losses mount, believing that I could roll or manage my way out of trouble. I still feel like I am going against my nature to some degree. My trading in years past was scalping oriented and simple. I was taught that a good trade was right almost immediately. If it went against me, I'd cut it immediately and look for a better entry. This is absolutely nothing like that. A good trade may take weeks to develop. It's been really hard for me to sit through the troughs and it's been even harder to watch an okay profit get taken out by a big swing in delta. Part of me wonders if I am cut out for this style at all and if I shouldn't just take my 5k and start trading micro futures. But that's a different post... I'll share a couple of my meager learnings:
Larger bid/ask spreads make it almost impossible to trade the higher priced names, even if you have a correct assumption. I have traded some bigger underlyings during this time like LULU and NVDA. They are just tough fills, both getting in and getting out. I almost want to say that you shouldn't even bother trading underlyings bigger than a 10 cent bid/ask spread with a small account.
Get an idea of the timeframe you're interested in holding before putting anything on. Have a plan for entering and exiting everything that goes beyond "I'll take this trade off at 50%". You can use TA, you can use a news catalyst, a binary event, just have something. Countless sources out there talk about trading a plan. It doesn't have to be the perfect plan, it just has to be "a" plan.
Undefined risk trades in tiny accounts need hard stops. Yes, some of the studies say that you'll do better without having fixed stop loss rules (50% of max loss, 100% of max loss) -- but what the studies don't say is the effect that it will have on you, mentally. I got pretty bent out of shape over how badly EWZ and EWW went against me -- much more than I expected. It made no sense, as I've lost way more on the turn of a card in .5 seconds and been unfazed. I was unprepared for the mental toll that it took waking up day after day, watching positions move further and further against me. Great time to be short calls during the mother of all rallies.
My initial plan for undefined risk trades in my account was that I would only do them in ETFs. Logic being that I'm just not going to wake up to an accounting scandal or a buyout and take a $1k loss on the chin. I later expanded my range into lower priced underlyings like BBBY, TLRY, and yes, AAL. But these ETFs can and do move (I learned the hard way) and can soak up a surprising amount of BP. It might be better to have 5 iron condors taking up $1000 of BP @ 200 each instead of 2 strangles @ 500 each.
My new questions :
My big wins felt like I simply leaned on my TA background or got lucky. My big losses, I sure felt like I earned those, through mistakes I've definitely since identified. The stuff in the middle, I'm just not sure. I'm up money, but it feels like I'm just spinning my wheels. My win rate is good, but I still struggle with expectations about how quickly a trade should progress. What is the next step of the process for a newer options trader? I've read some stuff on narrower spreads + more contracts vs. wider spreads and fewer contracts. Is there a number where I should just keep doing what I'm doing until I reach a specific # of occurrences? Should I even think about branching out into different strategies yet (ratio spreads, jade lizards, etc) or continue to work on these basics?
I still feel like I am super weak in delta management. In some cases I feel like I've taken a loss simply because I didn't know what the proper management techniques were. I understand the concept of rolling out in time for a credit, but I just don't think it's in my nature to hold trades for longer than a month, and even that is hard for me. At what delta is it appropriate to start thinking about hedging?
Every time I put on a credit spread for a 2-3 day move and am directionally correct, I often wish that I had just bought a naked option. I've caught several big moves this way in things like AAPL; most recently I bought the FB dip to the 50 day MA around 215 and took it off today at 225 (which was always my plan) -- it leads me to wonder if my expectations for credit spreads are completely out of line. I can't lie, it feels bad to catch a 10 point move and only make $40, haha. What is the ideal timeframe for a credit spread to be left on? Is it better to just buy premium with a stop loss and have a more profitable risk/reward equation for situations like the above where the only intent is to hold for a couple days?
Here's a random question -- other than when the BPR hit is too much (ie names over $50) for undefined risk, would you rather hold 1) a strangle for 10-14 days or 2) an iron condor for 25-30 days? So far my criteria for IC vs strangle has largely been driven by the risk profile and BPR and not so much profit potential in X number of days. If you're collecting the standard 1/3rd on the IC and taking the trade off at 50% (if you're lucky) , it seems like it takes about a month to get there, most of the time.
That's enough of this wall of text for now. If you made it this far, I salute you, because this shit was even longer than my last post.
Everything You Always Wanted To Know About Swaps* (*But Were Afraid To Ask)
Hello, dummies It's your old pal, Fuzzy. As I'm sure you've all noticed, a lot of the stuff that gets posted here is - to put it delicately - fucking ridiculous. More backwards-ass shit gets posted to wallstreetbets than you'd see on a Westboro Baptist community message board. I mean, I had a look at the daily thread yesterday and..... yeesh. I know, I know. We all make like the divine Laura Dern circa 1992 on the daily and stick our hands deep into this steaming heap of shit to find the nuggets of valuable and/or hilarious information within (thanks for reading, BTW). I agree. I love it just the way it is too. That's what makes WSB great. What I'm getting at is that a lot of the stuff that gets posted here - notwithstanding it being funny or interesting - is just... wrong. Like, fucking your cousin wrong. And to be clear, I mean the fucking your *first* cousin kinda wrong, before my Southerners in the back get all het up (simmer down, Billy Ray - I know Mabel's twice removed on your grand-sister's side). Truly, I try to let it slide. Idomybit to try and put you on the right path. Most of the time, I sleep easy no matter how badly I've seen someone explain what a bank liquidity crisis is. But out of all of those tens of thousands of misguided, autistic attempts at understanding the world of high finance, one thing gets so consistently - so *emphatically* - fucked up and misunderstood by you retards that last night I felt obligated at the end of a long work day to pull together this edition of Finance with Fuzzy just for you. It's so serious I'm not even going to make a u/pokimane gag. Have you guessed what it is yet? Here's a clue. It's in the title of the post. That's right, friends. Today in the neighborhood we're going to talk all about hedging in financial markets - spots, swaps, collars, forwards, CDS, synthetic CDOs, all that fun shit. Don't worry; I'm going to explain what all the scary words mean and how they impact your OTM RH positions along the way. We're going to break it down like this. (1) "What's a hedge, Fuzzy?" (2) Common Hedging Strategies and (3) All About ISDAs and Credit Default Swaps. Before we begin. For the nerds and JV traders in the back (and anyone else who needs to hear this up front) - I am simplifying these descriptions for the purposes of this post. I am also obviously not going to try and cover every exotic form of hedge under the sun or give a detailed summation of what caused the financial crisis. If you are interested in something specific ask a question, but don't try and impress me with your Investopedia skills or technical points I didn't cover; I will just be forced to flex my years of IRL experience on you in the comments and you'll look like a big dummy. TL;DR? Fuck you. There is no TL;DR. You've come this far already. What's a few more paragraphs? Put down the Cheetos and try to concentrate for the next 5-7 minutes. You'll learn something, and I promise I'll be gentle. Ready? Let's get started. 1.The Tao of Risk: Hedging as a Way of Life The simplest way to characterize what a hedge 'is' is to imagine every action having a binary outcome. One is bad, one is good. Red lines, green lines; uppie, downie. With me so far? Good. A 'hedge' is simply the employment of a strategy to mitigate the effect of your action having the wrong binary outcome. You wanted X, but you got Z! Frowny face. A hedge strategy introduces a third outcome. If you hedged against the possibility of Z happening, then you can wind up with Y instead. Not as good as X, but not as bad as Z. The technical definition I like to give my idiot juniors is as follows: Utilization of a defensive strategy to mitigate risk, at a fraction of the cost to capital of the risk itself. Congratulations. You just finished Hedging 101. "But Fuzzy, that's easy! I just sold a naked call against my 95% OTM put! I'm adequately hedged!". Spoiler alert: you're not (although good work on executing a collar, which I describe below). What I'm talking about here is what would be referred to as a 'perfect hedge'; a binary outcome where downside is totally mitigated by a risk management strategy. That's not how it works IRL. Pay attention; this is the tricky part. You can't take a single position and conclude that you're adequately hedged because risks are fluid, not static. So you need to constantly adjust your position in order to maximize the value of the hedge and insure your position. You also need to consider exposure to more than one category of risk. There are micro (specific exposure) risks, and macro (trend exposure) risks, and both need to factor into the hedge calculus. That's why, in the real world, the value of hedging depends entirely on the design of the hedging strategy itself. Here, when we say "value" of the hedge, we're not talking about cash money - we're talking about the intrinsic value of the hedge relative to the the risk profile of your underlying exposure. To achieve this, people hedge dynamically. In wallstreetbets terms, this means that as the value of your position changes, you need to change your hedges too. The idea is to efficiently and continuously distribute and rebalance risk across different states and periods, taking value from states in which the marginal cost of the hedge is low and putting it back into states where marginal cost of the hedge is high, until the shadow value of your underlying exposure is equalized across your positions. The punchline, I guess, is that one static position is a hedge in the same way that the finger paintings you make for your wife's boyfriend are art - it's technically correct, but you're only playing yourself by believing it. Anyway. Obviously doing this as a small potatoes trader is hard but it's worth taking into account. Enough basic shit. So how does this work in markets? 2. A Hedging Taxonomy The best place to start here is a practical question. What does a business need to hedge against? Think about the specific risk that an individual business faces. These are legion, so I'm just going to list a few of the key ones that apply to most corporates. (1) You have commodity risk for the shit you buy or the shit you use. (2) You have currency risk for the money you borrow. (3) You have rate risk on the debt you carry. (4) You have offtake risk for the shit you sell. Complicated, right? To help address the many and varied ways that shit can go wrong in a sophisticated market, smart operators like yours truly have devised a whole bundle of different instruments which can help you manage the risk. I might write about some of the more complicated ones in a later post if people are interested (CDO/CLOs, strip/stack hedges and bond swaps with option toggles come to mind) but let's stick to the basics for now. (i) Swaps A swap is one of the most common forms of hedge instrument, and they're used by pretty much everyone that can afford them. The language is complicated but the concept isn't, so pay attention and you'll be fine. This is the most important part of this section so it'll be the longest one. Swaps are derivative contracts with two counterparties (before you ask, you can't trade 'em on an exchange - they're OTC instruments only). They're used to exchange one cash flow for another cash flow of equal expected value; doing this allows you to take speculative positions on certain financial prices or to alter the cash flows of existing assets or liabilities within a business. "Wait, Fuzz; slow down! What do you mean sets of cash flows?". Fear not, little autist. Ol' Fuzz has you covered. The cash flows I'm talking about are referred to in swap-land as 'legs'. One leg is fixed - a set payment that's the same every time it gets paid - and the other is variable - it fluctuates (typically indexed off the price of the underlying risk that you are speculating on / protecting against). You set it up at the start so that they're notionally equal and the two legs net off; so at open, the swap is a zero NPV instrument. Here's where the fun starts. If the price that you based the variable leg of the swap on changes, the value of the swap will shift; the party on the wrong side of the move ponies up via the variable payment. It's a zero sum game. I'll give you an example using the most vanilla swap around; an interest rate trade. Here's how it works. You borrow money from a bank, and they charge you a rate of interest. You lock the rate up front, because you're smart like that. But then - quelle surprise! - the rate gets better after you borrow. Now you're bagholding to the tune of, I don't know, 5 bps. Doesn't sound like much but on a billion dollar loan that's a lot of money (a classic example of the kind of 'small, deep hole' that's terrible for profits). Now, if you had a swap contract on the rate before you entered the trade, you're set; if the rate goes down, you get a payment under the swap. If it goes up, whatever payment you're making to the bank is netted off by the fact that you're borrowing at a sub-market rate. Win-win! Or, at least, Lose Less / Lose Less. That's the name of the game in hedging. There are many different kinds of swaps, some of which are pretty exotic; but they're all different variations on the same theme. If your business has exposure to something which fluctuates in price, you trade swaps to hedge against the fluctuation. The valuation of swaps is also super interesting but I guarantee you that 99% of you won't understand it so I'm not going to try and explain it here although I encourage you to google it if you're interested. Because they're OTC, none of them are filed publicly. Someeeeeetimes you see an ISDA (dsicussed below) but the confirms themselves (the individual swaps) are not filed. You can usually read about the hedging strategy in a 10-K, though. For what it's worth, most modern credit agreements ban speculative hedging. Top tip: This is occasionally something worth checking in credit agreements when you invest in businesses that are debt issuers - being able to do this increases the risk profile significantly and is particularly important in times of economic volatility (ctrl+f "non-speculative" in the credit agreement to be sure). (ii) Forwards A forward is a contract made today for the future delivery of an asset at a pre-agreed price. That's it. "But Fuzzy! That sounds just like a futures contract!". I know. Confusing, right? Just like a futures trade, forwards are generally used in commodity or forex land to protect against price fluctuations. The differences between forwards and futures are small but significant. I'm not going to go into super boring detail because I don't think many of you are commodities traders but it is still an important thing to understand even if you're just an RH jockey, so stick with me. Just like swaps, forwards are OTC contracts - they're not publicly traded. This is distinct from futures, which are traded on exchanges (see The Ballad Of Big Dick Vick for some more color on this). In a forward, no money changes hands until the maturity date of the contract when delivery and receipt are carried out; price and quantity are locked in from day 1. As you now know having read about BDV, futures are marked to market daily, and normally people close them out with synthetic settlement using an inverse position. They're also liquid, and that makes them easier to unwind or close out in case shit goes sideways. People use forwards when they absolutely have to get rid of the thing they made (or take delivery of the thing they need). If you're a miner, or a farmer, you use this shit to make sure that at the end of the production cycle, you can get rid of the shit you made (and you won't get fucked by someone taking cash settlement over delivery). If you're a buyer, you use them to guarantee that you'll get whatever the shit is that you'll need at a price agreed in advance. Because they're OTC, you can also exactly tailor them to the requirements of your particular circumstances. These contracts are incredibly byzantine (and there are even crazier synthetic forwards you can see in money markets for the true degenerate fund managers). In my experience, only Texan oilfield magnates, commodities traders, and the weirdo forex crowd fuck with them. I (i) do not own a 10 gallon hat or a novelty size belt buckle (ii) do not wake up in the middle of the night freaking out about the price of pork fat and (iii) love greenbacks too much to care about other countries' monopoly money, so I don't fuck with them. (iii) Collars No, not the kind your wife is encouraging you to wear try out to 'spice things up' in the bedroom during quarantine. Collars are actually the hedging strategy most applicable to WSB. Collars deal with options! Hooray! To execute a basic collar (also called a wrapper by tea-drinking Brits and people from the Antipodes), you buy an out of the money put while simultaneously writing a covered call on the same equity. The put protects your position against price drops and writing the call produces income that offsets the put premium. Doing this limits your tendies (you can only profit up to the strike price of the call) but also writes down your risk. If you screen large volume trades with a VOL/OI of more than 3 or 4x (and they're not bullshit biotech stocks), you can sometimes see these being constructed in real time as hedge funds protect themselves on their shorts. (3) All About ISDAs, CDS and Synthetic CDOs You may have heard about the mythical ISDA. Much like an indenture (discussed in my post on $F), it's a magic legal machine that lets you build swaps via trade confirms with a willing counterparty. They are very complicated legal documents and you need to be a true expert to fuck with them. Fortunately, I am, so I do. They're made of two parts; a Master (which is a form agreement that's always the same) and a Schedule (which amends the Master to include your specific terms). They are also the engine behind just about every major credit crunch of the last 10+ years. First - a brief explainer. An ISDA is a not in and of itself a hedge - it's an umbrella contract that governs the terms of your swaps, which you use to construct your hedge position. You can trade commodities, forex, rates, whatever, all under the same ISDA. Let me explain. Remember when we talked about swaps? Right. So. You can trade swaps on just about anything. In the late 90s and early 2000s, people had the smart idea of using other people's debt and or credit ratings as the variable leg of swap documentation. These are called credit default swaps. I was actually starting out at a bank during this time and, I gotta tell you, the only thing I can compare people's enthusiasm for this shit to was that moment in your early teens when you discover jerking off. Except, unlike your bathroom bound shame sessions to Mom's Sears catalogue, every single person you know felt that way too; and they're all doing it at once. It was a fiscal circlejerk of epic proportions, and the financial crisis was the inevitable bukkake finish. WSB autism is absolutely no comparison for the enthusiasm people had during this time for lighting each other's money on fire. Here's how it works. You pick a company. Any company. Maybe even your own! And then you write a swap. In the swap, you define "Credit Event" with respect to that company's debt as the variable leg . And you write in... whatever you want. A ratings downgrade, default under the docs, failure to meet a leverage ratio or FCCR for a certain testing period... whatever. Now, this started out as a hedge position, just like we discussed above. The purest of intentions, of course. But then people realized - if bad shit happens, you make money. And banks... don't like calling in loans or forcing bankruptcies. Can you smell what the moral hazard is cooking? Enter synthetic CDOs. CDOs are basically pools of asset backed securities that invest in debt (loans or bonds). They've been around for a minute but they got famous in the 2000s because a shitload of them containing subprime mortgage debt went belly up in 2008. This got a lot of publicity because a lot of sad looking rednecks got foreclosed on and were interviewed on CNBC. "OH!", the people cried. "Look at those big bad bankers buying up subprime loans! They caused this!". Wrong answer, America. The debt wasn't the problem. What a lot of people don't realize is that the real meat of the problem was not in regular way CDOs investing in bundles of shit mortgage debts in synthetic CDOs investing in CDS predicated on that debt. They're synthetic because they don't have a stake in the actual underlying debt; just the instruments riding on the coattails. The reason these are so popular (and remain so) is that smart structured attorneys and bankers like your faithful correspondent realized that an even more profitable and efficient way of building high yield products with limited downside was investing in instruments that profit from failure of debt and in instruments that rely on that debt and then hedging that exposure with other CDS instruments in paired trades, and on and on up the chain. The problem with doing this was that everyone wound up exposed to everybody else's books as a result, and when one went tits up, everybody did. Hence, recession, Basel III, etc. Thanks, Obama. Heavy investment in CDS can also have a warping effect on the price of debt (something else that happened during the pre-financial crisis years and is starting to happen again now). This happens in three different ways. (1) Investors who previously were long on the debt hedge their position by selling CDS protection on the underlying, putting downward pressure on the debt price. (2) Investors who previously shorted the debt switch to buying CDS protection because the relatively illiquid debt (partic. when its a bond) trades at a discount below par compared to the CDS. The resulting reduction in short selling puts upward pressure on the bond price. (3) The delta in price and actual value of the debt tempts some investors to become NBTs (neg basis traders) who long the debt and purchase CDS protection. If traders can't take leverage, nothing happens to the price of the debt. If basis traders can take leverage (which is nearly always the case because they're holding a hedged position), they can push up or depress the debt price, goosing swap premiums etc. Anyway. Enough technical details. I could keep going. This is a fascinating topic that is very poorly understood and explained, mainly because the people that caused it all still work on the street and use the same tactics today (it's also terribly taught at business schools because none of the teachers were actually around to see how this played out live). But it relates to the topic of today's lesson, so I thought I'd include it here. Work depending, I'll be back next week with a covenant breakdown. Most upvoted ticker gets the post. *EDIT 1\* In a total blowout, $PLAY won. So it's D&B time next week. Post will drop Monday at market open.
Selling your Covered Call - Thoughts on How to Select Your Strike and Expiration
Congratulations! You are a bag holder of company XYZ which was thought to be the best penny stock ever. Instead of feeling sorry, you consider selling covered calls to help reduce your cost basis - and eventually get out of your bags with minimal loss or even a profit! First - let's review the call option contract. The holder of the call option contract has the right but not the obligation to purchase 100 shares of XYZ at the strike price per share. This contract has an expiration date. We assume American style option contracts which means that the option can be exercised at any point prior to expiration. Thus, there are three parameters to the option contract - the strike price, the expiration date and the premium - which represents the price per share of the contract. The holder of the call option contract is the person that buys the option. The writer of the contract is the seller. The buyer (or holder) pays the premium. The seller (or writer) collects the premium. As an XYZ bag holder, the covered call may help. By writing a call contract against your XYZ shares, you can collect premium to reduce your investment cost in XYZ - reducing your average cost per share. For every 100 shares of XYZ, you can write 1 call contract. Notice that that by selling the contract, you do not control if the call is exercised - only the holder of the contract can exercise it. There are several online descriptions about the covered call strategy. Here is an example that might be useful to review Covered Call Description The general guidance is to select the call strike at the price in which you would be happy selling your shares. However, the context of most online resources on the covered call strategy assume that you either just purchased the shares at market value or your average cost is below the market price. In the case as a bag holder, your average cost is most likely over - if not significantly over - the current market price. This situation simply means that you have a little work to reduce your average before you are ready to have your bags called away. For example, you would not want to have your strike set at $2.50 when your average is above that value as this would guarantee a net loss. (However, if you are simply trying to rid your bags and your average is slightly above the strike, then you might consider it as the strike price). One more abstract concept before getting to what you want to know. The following link shows the Profit/Loss Diagram for Covered Call Conceptually, the blue line shows the profit/loss value of your long stock position. The line crosses the x-axis at your average cost, i.e the break-even point for the long stock position. The green/red hockey stick is the profit (green) or loss (red) of the covered call position (100 long stock + 1 short call option). The profit has a maximum value at the strike price. This plateau is due to the fact that you only receive the agreed upon strike price per share when the call option is exercised. Below the strike, the profit decreases along the unit slope line until the value becomes negative. It is a misnomer to say that the covered call is at 'loss' since it is really the long stock that has decreased in value - but it is not loss (yet). Note that the break-even point marked in the plot is simply the reduced averaged cost from the collected premium selling the covered call. As a bag holder, it will be a two-stage process: (1) reduce the average cost (2) get rid of bags. Okay let's talk selecting strike and expiration. You must jointly select these two parameters. Far OTM strikes will collect less premium where the premium will increase as you move the strike closer to the share price. Shorter DTE will also collect less premium where the premium will increase as you increase the DTE. It is easier to describe stage 2 "get rid of bags" first. Let us pretend that our hypothetical bag of 100 XYZ shares cost us $5.15/share. The current XYZ market price is $3/share - our hole is $2.15/share that we need to dig out. Finally, assume the following option chain (all hypothetical):
Purely made up the numbers, but the table illustrates the notional behavior of an option chain. The option value (premium) is the intrinsic value plus the time value. Only the $2.5 strike has intrinsic value since the share price is $3 (which is greater than $2.5). Notice that intrinsic value cannot be negative. The rest of the premium is the time value of the option which is essentially the monetary bet associated with the probability that the share price will exceed the strike at expiration. According to the table, we could collect the most premium by selling the 110 DTE $2.5 call for $0.95. However, there is a couple problems with that option contract. We are sitting with bags at $5.15/share and receiving $0.95 will only reduce our average to $4.20/share. On expiration, if still above $2.5, then we are assigned, shares called away and we receive $2.50/share or a loss of $170 - not good. Well, then how about the $5 strike at 110 DTE for $0.50? This reduces us to $4.65/share which is under the $5 strike so we would make a profit of $35! This is true - however 110 days is a long time to make $35. You might say that is fine you just want to get the bags gone don't care. Well maybe consider a shorter DTE - even the 20 DTE or 50 DTE would collect premium that reduces your average below $5. This would allow you to react to any stock movement that occurs in the near-term. Consider person A sells the 110 DTE $5 call and person B sells the 50 DTE $5 call. Suppose that the XYZ stock increases to $4.95/share in 50 days then goes to $8 in the next 30 days then drops to $3 after another 30 days. This timeline goes 110 days and person A had to watch the price go up and fall back to the same spot with XYZ stock at $3/share. Granted the premium collected reduced the average but stilling hold the bags. Person B on the other hand has the call expire worthless when XYZ is at $4.95/share. A decision can be made - sell immediately, sell another $5 call or sell a $7.5 call. Suppose the $7.5 call is sold with 30 DTE collecting some premium, then - jackpot - the shares are called away when XYZ is trading at $8/share! Of course, no one can predict the future, but the shorter DTE enables more decision points. The takeaway for the second step in the 2-stage approach is that you need to select your profit target to help guide your strike selection. In this example, are you happy with the XYZ shares called away at $5/share or do you want $7.5/share? What is your opinion on the stock price trajectory? When do you foresee decision points? This will help determine the strike/expiration that matches your thoughts. Note: studies have shown that actively managing your position results in better performance than simply waiting for expiration, so you can adjust the position if your assessment on the movement is incorrect. Let's circle back to the first step "reduce the average cost". What if your average cost of your 100 shares of XYZ is $8/share? Clearly, all of the strikes in our example option chain above is "bad" to a certain extent since we would stand to lose a lot of money if the option contract is exercised. However, by describing the second step, we know the objective for this first step is to reduce our average such that we can profit from the strikes. How do we achieve this objective? It is somewhat the same process as previously described, but you need to do your homework a little more diligently. What is your forecast on the stock movement? Since $7.5 is the closest strike to your average, when do you expect XYZ to rise from $3/share to $7.5/share? Without PR, you might say never. With some PR then maybe 50/50 chance - if so, then what is the outlook for PR? What do you think the chances of going to $5/share where you could collect more premium? Suppose that a few XYZ bag holders (all with a $8/share cost) discuss there outlook of the XYZ stock price in the next 120 days:
Person A does not seem to think much price movement will occur. This person might sell the $5 call with either 20 DTE or 50 DTE. Then upon expiration, sell another $5 call for another 20-50 DTE. Person A could keep repeating this until the average is reduced enough to move onto step-2. Of course, this approach is risky if the Person A price forecast is incorrect and the stock price goes up - which might result in assignment too soon. Person B appears to be the most bullish of the group. This person might sell the $5 call with 20 DTE then upon expiration sell the $7.5 call. After expiration, Person B might decide to leave the shares uncovered because her homework says XYZ is going to explode and she wants to capture those gains! Person C believes that there will be a step increase in 10 days maybe due to major PR event. This person will not have the chance to reduce the average in time to sell quickly, so first he sells a $7.5 call with 20 DTE to chip at the average. At expiration, Person C would continue to sell $7.5 calls until the average at the point where he can move onto the "get rid of bags" step. In all causes, each person must form an opinion on the XYZ price movement. Of course, the prediction will be wrong at some level (otherwise they wouldn't be bag holders!). The takeaway for the first step in the 2-stage approach is that you need to do your homework to better forecast the price movement to identify the correct strikes to bring down your average. The quality of the homework and the risk that you are willing to take will dedicate the speed at which you can reduce your average. Note that if you are unfortunate to have an extremely high average per share, then you might need to consider doing the good old buy-more-shares-to-average-down. This will be the fastest way to reduce your average. If you cannot invest more money, then the approach above will still work, but it will require much more patience. Remember there is no free lunch! Advanced note: there is another method to reduce your (high) average per share - selling cash secured puts. It is the "put version" of a cover call. Suppose that you sell a XYZ $2.5 put contract for $0.50 with 60 DTE. You collect $50 from the premium of the contract. This money is immediately in your bank and reduces your investment cost. But what did you sell? If XYZ is trading below $2.50, then you will be assigned 100 shares of XYZ at $2.50/share or $250. You own more shares, but at a price which will reduce your average further. Being cash secured, your brokerage will reserve $250 from your account when you sell the contract. In essence, you reduce your buying power by $250 and conditionally purchase the shares - you do not have them until assignment. If XYZ is greater than the strike at expiration, then your broker gives back $250 cash / buying power and you keep the premium. Early assignment - one concern is the chance of early assignment. The American style option contract allows the holder the opportunity to exercise the contract at any time prior to expiration. Early assignment almost never occurs. There are special cases that typically deal with dividends but most penny stocks are not in the position to hand out dividends. Aside from that, the holder would be throwing away option time value by early exercise. It possibly can handle - probably won't - it actually would be a benefit when selling covered calls as you would receive your profit more quickly! This post has probably gone too long! I will stop and let's discuss this matter. I will add follow-on material with some of the following topics which factors into this discussion:
Effect of earnings / PR / binary events on the option contract - this reaction may be different than the underlying stock reaction to the event
The Black-Scholes option pricing model allows one to understand how the premium will change - note that "all models are incorrect, but some are useful"
The "Greeks" give you a sense about how prices change when the stock price change - Meet the Greeks video
Position Management - when to adjust, close, or roll
Legging position into strangles/straddles - more advanced position with higher risk / higher reward
Open to other suggestions. I'm sure there are some typos and unclear statements - I will edit as needed! \I'm not a financial advisor. Simply helping to 'coach' people through the process. You are responsible for your decisions. Do not execute a trade that you do not understand. Ask questions if needed!**
Three ways to play earnings without getting IV crushed
Sup nerds. Tomorrow is my birthday and I’m probably waking up to a nice fat 4 digit red number because I dared bet against a company so badass as to have a one letter ticker. So my birthday gift to all of you is the gift of knowing how to lose money like I do. If you’ve tried to play earnings with options though you’ve probably experienced IV crush. The stock moves in your favor but you lose money anyway. So I thought I’d give a quick rundown of what IV crush is and some simple strategies to avoid it. Skip ahead to number 2 if you already know what IV crush is. (Yes there have been some posts on IV crush over the past few months but as far as I can tell they’re all huge walls of text, don’t give enough clear advice, and aren’t specifically about earnings, so here you go.)
1 . What is IV crush in relation to earnings?
It’s easiest to think of it in terms of “expected move.” Implied volatility (IV) is how much of an "expected move" is implied in the current options price. Add up the price of the ATM call and ATM put, and this is how much of a move the market has priced in. Example: $W today at close: $134 5/8 call = 11.80 $134 5/8 put = 11.00 Expected move between now and expiration: 22.80 Naturally, after the earnings report is released there will be a much smaller expectation of movement over the remainder of the week, so the expected move will go down no matter which way the stock goes. This is another way of saying IV is going down, i.e. IV crush.
2. Strategies to play earnings without getting IV crushed:
a) Buy Deep ITM calls/puts
Deep ITM options get the majority of their price from their intrinsic value (what you’d make if you exercised the option today) as opposed to their extrinsic value (IV and theta) so there’s a lot less IV for them to lose, assuming you get a good fill. You want to pay as close to intrinsic value as possible. Strike - Stock price = intrinsic value Example: $160 put - $134 stock price = $26 intrinsic value So if you’re buying the $160 put on a stock trading for $134, pay as close to $26 as possible. You’re gonna have to pay a little over but don’t just hit the ask, as the bid/ask can be wide on these.
b) Sell naked options or spreads
Get on the right side of IV crush. Personally I like to sell naked options, but spreads are good if you are a scared little baby or if your fake broker doesn’t let you sell naked options. i) ATM vs OTM I like ATM the best because you collect the most premium, and if the stock trades flat you still win because IV crush works in your favor. OTM does offer extra protection from the stock moving against you. Keep in mind as you move OTM you are moving toward smaller wins and bigger losses, but also a higher win ratio. Pennies in front of the steamroller. ii) Spread positioning Position the outer leg (the leg you’re buying) as far OTM as possible to increase your profitability if the stock trades flat and improve your odds of winning. Or make it a narrower spread to make it closer to a binary event. If the stock is trading at $134.50 and you sell the $134/$135 put spread for $0.50 (half the width of the strikes), that’s basically a double or nothing coin flip. If you have a high degree of confidence in which way the stock is going, that's pretty good leverage.
c) Use options to be synthetically short/long shares
If you want to gamble on direction in a way that is more leveraged than shares but completely free of Greek headaches, this is for you. To go long: Buy the ATM Call, sell the ATM put To go short: Sell the ATM call, buy the ATM put If you buy an ATM call and sell the ATM put of the same strike, your position is exactly the same as being long 100 shares. The greeks from the long and short options cancel each other out. The same is true if you buy the ATM put and sell the ATM call. Your position is mathematically the same as being short 100 shares. The beauty, though, is that it uses about half as much buying power as buying or selling shares on margin. Just for example, based on numbers at market close today, buying an ATM call and selling an ATM put on $W uses $3716 in buying power, as opposed to roughly $6700 to buy 100 shares on margin. ii) If your fake broker won’t let you sell naked options You can just buy a wide leg. So if you’re going long just buy the ATM call, Sell the ATM put, and buy a deep OTM put. If you're going short, buy the ATM put, sell the ATM call, and buy a deep OTM call. That's it I think. Hopefully someone found this helpful and it wasn’t just a bunch of obvious shit you all already know. I’m gonna get started on drinking some wine and eating some edibles and contemplating how fucking old I am. Feel free to ask any questions or add any thoughts.
How to Recover Bitcoin Binary options investment scam
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Escape from Tarkov New Player Guide 2.0: 75 Pages and packed with all the information you could ever need for success!
Greetings, this is dumnem, also known as Theorchero, but you can call me Theo. I'm an experienced Tarkov player and I'm writing this guide to try and assist new Tarkov players learn the game, because it has one hell of a learning curve. We'll be going over a lot of different aspects of this guide, and it is going to be huge. Feel free to digest this in parts. Additionally, this is a work in progress. I will write as much as I can in one Reddit post, but subsequent parts will be in additional comments. Google Docs Version (Note: Link is placeholder atm, but here is a sneak preview!) Disclaimer: Tarkov recently updated to .12! That's a HUGE amount of information that I need to update. Please be patient! If there is anything I have gotten wrong or may have omitted, please let me know. This is Primarily directed towards Tarkov Novices, but should be useful for even Tarkov Veterans. It hopefully includes everything you need to know to be able to go into a Raid equipped for success and to successfully extract with gear. Want to play with friends? Want to have fun and learn Tarkov? Check out my discord here.
[Updated for .12]
Money making strategies completed.
Minor grammar adjustments, adding additional medical items.
Added additional resources, updated old ones.
Hideout section complete
Table of Contents
Tarkov Overview - What is Escape from Tarkov?
Tarkov Resources - Useful links
Tarkov's Health System
Tarkov's Hideout System
Tarkov's Quest System and Progression
Tarkov's Hotkeys to Know
New Player's loadouts - LL1 Traders
What to Loot - How to get the most money per slot
Stash Management - How to combat Gear Fear
Tarkov Economy - How do I make money?
Tarkov Overview - What is Escape from Tarkov?
Escape from Tarkov is a tactical, realistic, FPS with MMO elements developed by Battlestate Games. It is currently in closed Beta. The game features several maps in which your primary character, your PMC, goes into Raids in order to find and salvage loot and useful equipment to survive and thrive in Tarkov. Death is very punishing in Tarkov. If you die you lose everything you had on you when you die (with the exception of what's inside your Container and your melee weapon) including any equipment you brought with you or what you found inside the Raid. Enemies can be players (PMCs) or Scavengers ('Scavs') that are either controlled by AI or by players. Unlike many shooters, AI enemies in Tarkov are deadly - they can and will kill you on sight. They have recently been upgraded to act more intelligently, shoot more accurately, and react to situations on the map, such as investigating noise of gunfire or searching. It features beautiful and immersive environments, intricate and in-depth weapon modification system, a complex health system, dynamic and specific loot placement, and multiple options for engagement. Do you want to play slow and stealthy, to avoid fights, or set up a deadly ambush on an unwary foe? Or do you prefer raw combat, where only your quick wit, placements of shots, and tenaciousness determines who gets out alive? It's your Tarkov. You make the rules.
Tarkov Resources - Useful links
I take no credit or responsibility for any of the content in these links. To the best of my knowledge, these are updated consistently and are accurate, but user beware.
Huge collection of all the keys in the game. These are also on the wiki, but this page has them all on one page, and tries to inform the user if the key is worth keeping or using. Check it out here. This section is open to revision. Mention me in a thread (or in the comments below) about a resource and I'll see about adding it here.
Courtesy of Veritas (Send me his reddit username?), It's located here. (Open in new tab.) Contains: Detailed information about: Ammunition, Health, Firearms, Body Armor, Helmets, Rigs & Backpacks, Labs & Quest keys. Outdated! Needs to be updated for .12
Offline Raids - Player Practice
Offline raids is a feature added for testing and learning purposes for both new and veteran players alike. It is an incredibly useful tool. In an offline raid, your progress is not saved. This means you don't keep anything you find, keep any experience 'earned' if you successfully extract, or lose any gear when/if you die. To access OFFLINE Raids, head into a Raid normally until you see this screen. Then Check the box indicating that you want to do an OFFLINE raid and you're good to go! You even have a choice on whether or not to add AI. You can also control how many AI enemies spawn, fewer than normal or a great deal more! You can even make Scavs fight each other. (Framerates beware.) You can control how many scavs spawn (if any) as well as a number of other paramaters. New players should use offline raids as a tool to practice shooting, controls, movement, etc.
Tarkov features several maps - ranging from wide, beautiful vistas to ruined factory districts, to an abandoned laboratory where illegal experiments were being conducted. It is important to learn the maps you intend to play. In order to keep your gear, you must 'extract' at one of your designated exfiltration points. Not all extracts will be active every game, and some are conditional.
To see what extracts are available to you, double tap 'O' to show raid time and your exfils. If it has a ???? it might not be open.
Gate 3 Extract A small, fast-paced map that was primarily created for PvP. Scavs spawn in all the time. Very close quarters, shotguns and SMGs tend to dominate here. PMCs can only access one Exit (Gate 3) without the Factory Exit Key. Good place to go if you need PMC kills as action is pretty much guaranteed. It is recommended NOT to bring in a lot of gear to Factory until you are experienced. Factory Map in PvP is best played in Duos - due to the layout of the map, a Maximum of 6 PMCs may be present in the game. Due to the split spawn points, you effectively have 'sides' that have up to 3 spawn locations that are close together. This is why it is recommended to secure/scout enemy spawn locations. If you go in with a Duo, you at max have 2 players on your side for an even 2v2, and if played smartly you can eliminate them and know your 'side' is secure from aggression for the time being. Upon loading in, scavs usually take a couple minutes to spawn, though this depends on the server in question and isn't super reliable. For new players, the best loadout in Factory is going to be a MP-153 Loadout - using just an MBSS (or similar bag) and ammo in your pocket to fight other players and Scavs. Scavs will often spawn with AKs and other 'vendorable' weapons, so is a good source of income. Factory is also one of the best maps to Scav into, as Scavs can typically avoid the Exit camping strategy employed by a lot of weaker or newer players in order to secure gear, because they typically have extra exfiltrations whereas PMCs without the Factory Exit Key are stuck using Gate 3. If you go in with a modicum of gear, it is recommended to keep at least a flashbang (Zarya) in your container. This will allow you to quickly slot it into an empty chest rig or pocket so you can throw it into the exit door, this will flash enemies and is cheap to do - the one time you survive because you flashed the 3 exit campers using shotguns will make this strategy extremely valuable.
Extract map A fairly large map that was recently expanded and is expected to receive an overhaul within a patch or two, due to the choke point design of the map. Essentially, players spawn either on 'warehouse' or 'boiler (stacks)' side. If you see a large red warehouse ('big red') near you (Customs Warehouse), then you spawned on the warehouse side. If you don't, you likely spawned near Boiler side. Players can also spawn in several places in the woods North of boilers. This map has the most quests in the game. Geared players often come to customs to challenge other squads over Dorm loot and to fight a Scav boss. New players are usually trying to do one of several early quests, such as ‘Debut’ which tasks them with killing 5 scavs on Customs and acquiring 2 MR-133 shotguns (pump shotties) from their corpses. Construction is also a popular hotspot as it has a lot of scav spawns as well as the location for the Bronze Pocketwatch, which is Prapor’s second quest. Customs itself does not offer very much loot on average. There are several spots which can contain decent, but the vast majority is located in a couple different locations. Dorms is the best loot location for Customs. It has two sets, 2 story and 3 story dorms. They each have their own sections of good loot, but the best is considered to be 3 story dorms, due to the presence of the Marked Room. The marked room requires a marked key to open, and has a good chance to spawn rare loot, such as keytools, documents cases, weapons cases, and high-end weapons. Due to the nature of the high value of this room, it’s almost always contested and it’s one of the best rooms in the game to farm, albeit with difficulty to successfully extract with the loot found. Note, though the key required has a maximum amount of uses, it is a fairly cheap key, and worth buying if you like to run customs and go to Dorms. Dorms also has a ton of early quests (Operation Aquarius, for one) with some keys being valuable to use, but most dorms keys aren’t worth that much on the market. There’s too many to list here, but make sure to check the Map Keys and You at the top of the guide to determine what the value of a particular key is. Checkpoint (Military Checkpoint) is also a decent loot spot, though not nearly as good as Dorms. If you have the key, it has a grenade box and 2 ammo boxes which can spawn good ammo. The jacket in the blue car also can spawn good medical keys as well as medical items. It is very close to the gas station, so I’ll include that here as well. The Gas Station is one of the possible spawn locations for the scav boss. It has loose food items, a weapon box in the side room, with two keyed rooms leading to a safe and a med bag and box. Also contains a couple registers and food spawns on the floor. The emercom key can spawn on the seat in the ambulance out front. North of the gas station is the Antenna, which contains 3 weapon boxes, a tool box, and a med bag. Possible location for scav boss spawn, albeit rarely, and also spawns regular scavs, like checkpoint and gas station. Beyond that, there’s scattered loot around the map in different places, but usually not enough to warrant going out of your way for. There’s also scav caches, mostly around the middle road outside construction and around the boiler area. The scav boss for customs is 'Reshala.’ He has 5 guards that have above-average gear and can be tough to deal with solo. The guards tend to be more aggressive than normal scavs, so they can be a lot to handle but are vulnerable to fragmentation grenades or flashbangs due to their close proximity to one another. Reshala himself has a good chance to have one or more bitcoin in his pockets, as well as his unique Golden TT, which is required for a Jaegar quest and used in conjunction with other Golden TT's to purchase a Tactec, good plate carrier. Reshala may spawn either Dorms (either bldg), New Gas Station, or rarely the tower north of the gas station. Scav bosses are dangerous enemies with escorts that have above-average loot (sometimes great loot) and are hostile to everyone, Including player scavs. Scav guards will approach a player scav and basically tell them to leave the area, and if they walk closer towards the scav boss they turn hostile. The ‘official’ spawn rate for Reshala is 35%.
Woods Map with Exfil A very large map that is mostly just a large forest, with the occasional bunker, and the Lumber Mill in the center. The Lumber Mill is the primary point of interest, as it contains a couple quest locations and is the primary location to farm Scavs, as Scavs killed on woods are a good source of end-game keys that are hard to find. Since the map is so large and open, sniper rifles with scopes usually reign king here. You will see a lot of players with Mosin rifles as they are a cheap way to train the Sniper skill (for a quest later on) and are capable of killing geared players and scavs alike. Overall, not usually very populated. An early quest from Prapor sends you here to kill a number of Scavs. A good map to learn the game, as although the loot is not fantastic, you can get experience with how the game runs and operates while fighting AI and possibly getting lucky with a key find off a scav. As of .12, Woods now houses a Scav boss that acts as a Sniper scav. He is incredibly dangerous and usually carries a tricked-out SVDS. The 7.62x54 caliber is not to be underestimated. That caliber can and will wreck your shit through what most players are capable of wearing, especially early on in a wipe. He may also carry an AK-105, so he's going to be dangerous at both short and long ranges. He has two guards, and he typically patrols the area around the Sawmill, and carries a key to a cache nearby full of goodies. His key is part of a quest for Jaegar. Woods also has two bunkers, one of them being an extract and requiring a key. Both bunkers have some moderate loot in them, thus worth visiting, though not necessarily worth going out of your way for them. Several quests occur around the sawmill area, which contains a good couple keys that can spawn.
Shoreline Map, with Loot, Exfil, etc A very large map, notorious for its FPS hit. Generally speaking, one of the better maps for loot. The primary point of interest is the Resort, but scavs spawn there, and is primarily occupied by hatchlings (players only with hatchet, ie melee weapon) and geared players. Resort has great loot, but requires keys to access most of it. A great map to learn though from new players as the outskirts still contains plenty of loot and combat opportunities with AI scavs. You can hit Villa, Scav Island, Weather station, Docks, etc and come out with a backpack full of valuable gear fairly easily. The Village (Not to be confused with villa) contains a lot of toolboxes which can contain lots of parts used to upgrade your Hideout. Location of many quests, including a large quest chain where players are required to kill many, many, scavs on Shoreline. For this and other reasons, probably the best map for new players to learn the game with. A good loot route is to hit the village (caches in it), scav island (2 med bags, 2 toolboxes, 2 weapon boxes, 1 cache), burning gas station (weapon boxes and a safe), pier (potential extract, 2 pcs 2 safes and lots of filing cabinets), and weather station. Scavs may spawn around these areas, but most players just head straight for resort anyway, so you are much less likely to encounter them, especially if you avoid Mylta power (most players hit it on the way to or leaving from the resort). Excellent route as a player scav as well.
Detailed map Great, great loot area, but very complex map. Old computers might face unique struggles with this map. Features a mostly-binary exfil system like Shoreline, but.. kinda worse. Exfil camping is fairly common on this map, but usually avoidable. Huge map with multiple floors and many many different stores. Communication with teammates is a challenge on this map, but the map is also fantastically detailed. This map features a lot of loot that depends on the kind of store you're in. It's a great place to farm rare barter materials which are valuable to sell on the Flea market or to use for quests or for hideout upgrades. An early quest (from Ragman) sends you here to kill a large amount of Scavs. I'd recommend getting Ragman to level 2 and accepting his quest asap when going to Interchange, as getting this quest done can take a while as it is and you want all scav kills to count towards progress. Both the tech stores (Techlight, Techxo, Rasmussen) and department stores (Groshan, Idea, OLI) are the primary places to hit. There’s also Kiba (weapons store) as well as Emercom and Mantis. Players have different strategies, but this map is unique in the sense that it really rewards exploring. Most stores will have things you can grab that are worth quite a bit but are often overlooked. Very popular place to go in as a Player Scav.
Brand new map, chock full of loot. Has more complex extracts than other maps, save for Labs. Excellent place to farm rare barter items, computer parts, and especially military hardware. PMCs have limited extracts, most being conditional, and the ones that aren’t require activation of ‘power’ to turn on the extract, which alerts the map the extract has been opened and can spawn Raiders (more on them below.) Additionally, has a scav boss by the name of Glukhar, who has multiple heavily armed guards. He has multiple spawn locations and can arrive with the train.
DISCLAIMER: Labs, like much of Tarkov, is under constant development, so issues may be fixed or created without warning. Always check patch notes!
Labs is a very complex map compared to the rest of Tarkov. There is a great deal more exfiltrations but many of them have requirements or a sequence of events needed to be able to extract from them. It is recommended to read the Tarkov Wiki on Labs before raiding there.
LABS IS NOT LIKE OTHER MAPS. READ THIS SECTION CAREFULLY.
Labs is a lucrative end-game raid location, comparable to 'dungeons' in other games. They are populated by tougher enemies that give greater rewards. In order to go to labs, you need to acquire a keycard, this functions like mechanical keys but instead of opening a door, they unlock your ability to select Labs for a raid. They may be found in-raid in various locations, most notably in scavs backpacks, pockets, and in filing cabinets. They may be purchased from Therapist at LL4 for 189K Roubles. Labs are populated by a unique kind of AI enemy, Raiders.
Raiders are the Labs form of Scavs, or AI enemies. However, unlike other maps, they cannot contain player Scavs. Raiders have a much tougher than your average scav, they are capable of advanced tactics (such as flanking) and throw grenades and use other consumables as a player would. Once 'locked' onto you, they are typically capable of killing you very quickly, even if you are wearing high-end armor. In Tarkov, Raiders act like the avatars of Death. They are clad in USEC and BEAR equipment, as they are effectively AI PMCs. Many changes have been made to labs and specifically how Raider AI works and to prevent exploits to easily farm them as well as bugs where they could be deadlier than intended. A general rule of thumb is not to fight Raiders directly. They can and WILL kill you. Raiders can spawn with 7N9, or 'big boy' ammo. This ammunition type is incredibly lethal to players, even those wearing the toughest armor. If you get shot in the head, doesn't matter what kind of helmet, face shield, killa helmet, etc you are wearing, you will almost certainly die. Because Raiders are controlled by AI, they have zero ping. They may also end to immediately respond as if you were aggressive even if they did not originally know you were there - ESP Raiders effectively will prone and return fire even as you ADS and put them in your sights. This is why engaging a Raider must be done very, very carefully. There are a few strategies that you may employ, most commonly some form of baiting them towards an area and then killing them when they arrive. Players may accomplish this by generating noise - gunfire, melee weapon hitting walls, crates, etc, player deaths, players Mumbling (F1 by default) can all attract Raiders to investigate your area. Due to the high power of Raiders, players often go in with minimal loadouts and seek to avoid conflict with other players, especially geared ones. Most players avoid PvP in Labs, though a good portion of the playerbase thoroughly enjoys hunting down poorly-geared players after they kill a few Raiders for them. As such, players will lay prone in a hallway, or crouch in a room, and attract Raiders to enter their domicile by opening the door, and immediately headshotting them. Few Raiders actually wear helmets (though some do) so most players specialize in 'flesh ammo' or, ammunition that foregoes armor penetration in favor of raw damage in order to kill Raiders more reliably, because Raiders have slightly higher head health than PMCs do. Raiders spawn with a great variety of equipment, weapons, armor, and materials such as medication or hideout parts. They tend to have chest armor and may have different helmets. Their pockets can contain Labs keycards, morphine, Ifaks, cash, and other items. They're always worth checking. Raiders are a good source of grenades, they will often have F-1's and Zarya's in their rig or pockets that you can use to fight off players and Raiders alike. Recently, changes have been made to Labs to make them less profitable so that other maps are more appealing. The cost and rarity of keycards increased, as well as reducing the frequency that raiders spawn, so that they come in more infrequent groups but also tighter in formation, while also lowering the overall output of individual Raiders, so that they are less likely to have a bunch of extra materials, such as grenades and other items.
Experience Farming on Labs
Labs is one of the best places to farm experience in the entire game. Killing a Raider with a headshot awards 1100 Experience. This does not include any looting, inspection (searching bodies), examine, streak, or other experience. Killing a large sequence of Raiders gives additional bonus experience in the form of Streak rewards, usually 100 bonus exp per additional kill. Surviving the raid multiplies all of these sources of experience by 1.5x
Changes coming to Labs
Disclaimer: I am not a BSG developer or employee. This is what I have seen on this subreddit and heard elsewhere. Some might be purely rumor, but other points are confirmed by Nikita Labs is undergoing constant changes. Nikita and BSG take feedback seriously, and always consider what the players are telling them. It known that Labs will eventually be accessed via the Streets of Tarkov map, and will require you to enter that map, make it to the labs entrance, and then extract from Labs to return to Streets of Tarkov and exfil from there as well. This will likely add an additional layer of risk to being ambushed for your goodies along your way out, as well as punishing damage taken in labs more severely. Additionally, keycards will have a limited number of uses, and may open more than one room. The full extent of the changes coming is not known. Remember, you can load a map in OFFLINE mode to practice against bots or to learn the map without fear of losing gear.
Tarkov's Health System
Tarkov Wiki Article Tarkov has a very advanced health system, and while it might seem overwhelming at first, you'll get the hang of it rather quickly. It features a very wide variety of effects and injury, including hydration, energy, blood pressure, blood loss, fractures, contusion, intoxication, exhaustion, tremors and more. Not all of the Health System is implemented yet. Expect changes! Your character (PMC, or otherwise) has a combined Health of 435. Each of his limbs have separate health. Taking damage to a limb that reduces it to 0 'blacks' that limb. Blacked limbs are a problem. They greatly impair the activities your PMC performs, and taking damage in a blacked limb amplifies the damage by a multiplier and spreads that damage among your other non-black limbs equally. You cannot heal a blacked limb without the use of a Surgical Kit. Notes:Bloodloss applies damage to the affected limb and can be spread like other damage to a blacked limb. Treat immediately. Also causes significant dehydration! Bloodloss also helps level your Vitality skill, which in turn gives you experience towards your Health skill, which is necessary to reach level 2 of in order to improve your hideout. Losing a limb applies additional effects. Fractures also apply these effects but not the damage amplification (Except for damage if running on fractured leg.) Fractures require specialized medical kits to heal. Dehydration is what happens when your Hydration level reaches 0. You can view your Hydration level in your gear page, at the bottom left. Becoming dehydrated is extremely bad. You take constant damage. Taking dehydration damage can kill you if you have a black chest or head. Restoring hydration helps train Metabolism, which improves positive effects from food and drink. Head/Chest: Bullet damage resulting in losing your head or chest is instant death. Note: Bloodloss resulting in your Head/Chest being black does not result in death, but any damage to them beyond that point will! A back chest will causes you to cough (much like your stomach!) Painkillers: Prevents coughing that comes from your chest. Doesn't help otherwise. Stomach: Massively increased rate of dehydration and energy loss. You must find liquids or exit the Raid soon. Additionally, your PMC will cough sputter loudly, attracting attention. A black stomach multiplies damage taken by 1.5 and redistributes that damage across your entire health pool. Painkillers: Significantly reduces the frequency and volume of the coughs. Arms: Makes activities like searching, reloading, etc, take additional time, as well as adding a sway, reducing accuracy. Arms have a .7x damage multiplier. Painkillers: Reduces sway, removes debuff Pain. Legs: Blacked legs cause your PMC to stumble and be unable to run. Blacked legs have a 1x damage multiplier. Painkillers: Allows you to walk at full speed and to run. WARNING: Running while your legs are blacked or fractured WILL DAMAGE YOU.
Tarkov features many health items - 'Aid' items, which can be used to restore your characters health and to fix ailments or injuries he receives as the result of combat or mishaps. The two most important health conditions to consider are bloodloss and fractures, which have both been covered above. Some food items may have ancillary effects, such as losing hydration. Since in the current patch the only ailments to worry about are bleeding and fractures, it changes which health items are most necessary. We'll go over them below.
Medical Items on Wiki AI-2 medkit The newb's medical kit. You receive several of these when you start Tarkov - they'll already be in your stash. Available from Level I Therapist, they are cheap and effective way of healing early in the game. They will not stop bloodloss. Because of this, you also need to bring bandages or a higher-grade medical kit. Affectionately called 'little cheeses' by the Tarkov community. Using it takes 2 seconds, and because of how cheap it is, it's often brought in by higher level players to supplement their healing without draining their main kit (which is capable of healing bloodloss or sometimes fractures). Due to its short use time, it's often very useful during combat as you can take cover and quickly recover damage taken to a vital limb. They're also useful as you can buy them from Therapist to heal yourself if you died in a raid. Bandages The newb's bloodloss solution. Available from Therapist at Level I. A better version, the Army Bandage is available at Level II, after a quest. Mostly obsolete after unlocking the Car Medical kit, but some players value them due to the Car's overall low health pool. Activating takes 4 seconds, and removes bloodloss to one limb. Splint The newb's solution to fractures. Cheap, takes five seconds to use, and takes up 1 slot. Fractures are much more common this patch, due to them being added back in the game from standard bullet wounds, not just drops. Available from Therapist at Level I, no quest needed. Can be used to craft a Salewa. Alu Splint More advanced form of the normal split. Works the same, but has up to 5 uses. Recommended to carry in your container if possible, due to frequency of fractures from gunfire. CMS (Compact Medical Surgery) Kit New medical item added in .12, fantastic item. Allows you to perform field surgery, removing the black limb state and allowing you to heal it beyond 0 hp. Takes 16 seconds to use, and cannot be cancelled so make sure you are safe if you are using it! Will reduce the maximum health of the limb it's used on by 40-55%, but will effectively remove all negative effects incurred by having a black limb. Highly recommended to carry in your container for emergencies. Can be bartered from Jaeger LL1, and purchased for roubles LL2. Surv12 field surgical kit Same as the compact surgical kit, but takes 4 seconds longer, and the health penalty is reduces to 10-20% max health of the limb. Considering this kit is 1x3, taking up a huge amount of space, it's probably not worth using. It's just too large. Better this than nothing, though. Car Medical Kit The newb's first real medical solution. Available LL1 as a barter (2 Duct Tape) and available for Roubles after completing Therapist's second quest. Has a larger health pool than AI-2's (220, vs AI-2's 100), and removes bloodloss. Takes up a 1x2 slot, so requires to be placed in a tactical rig in order to be used effectively. Cheap and fairly efficient, takes a standard 4 seconds to use. Rendered effectively obsolete when the Salewa is unlocked. Often kept in a player's secure container as a backup health pool, before IFAKs are unlocked. Salewa Good medkit for use in mid and end-game. Contains 400 total health and can remove bloodloss. More rouble efficient form of a healing due to its high health pool, costs 13k roubles. Same size as the Car medical kit, so requires a tactical rig to use effectively. Because Tarkov does not currently have effects like Toxication in the game at the moment, this kit is favored by most players who go into a raid with at least a moderate level of gear. With a high health pool and relatively low cost, it's also a more efficient way of healing damage sustained while in raids. Unlocked at Therapist Level II after completing a level 10 Prapor quest, Postman Pat Part II. Required as part of Therapist's first quest, Shortage. This makes Salewas very valuable early on in a wipe as it gatekeeps the rest of Therapist's quests, most of which occur on Customs early on. Can be crafted in your meds station with a painkiller, splint, and bandage. IFAK Fantastic medical kit, and is the one preferred by most players. Features 300 health and the ability to remove bloodloss and a host of other negative effects that are not yet implemented into the game. It does not, however, remove fractures. Taking up only a single slot, it is favored by players in all stages of gear, and it is recommend to carry one in your Secure Container in case of emergencies. Is available at Therapist Level II for a barter (Sugar + Sodium), and may be purchased for Roubles at Level III after completing Healthcare Privacy, Part I. It is a fairly expensive kit, but due to its durability, its small size, and ability to remove bloodloss, it is a very common medical item used by players of all levels. Can be crafted in Lvl 2 medstation. Grizzly The 'big daddy' medical kit, boasting an impressive total health resource of 1800. It is also a very large kit, taking up 4 slots (2x2) - in order to be able to use this quickly, it would require specialized tactical rigs that feature a 2x2 slot. It removes all negative effects (some costing HP resource), including fractures. Used by highly-geared players who intend on staying in raids for an extended period of time, or by players with additional Secure Container space available in case of emergencies. It is available for barter at Therapist Level II, and purchase at Therapist Level 4. Due to its price point from Therapist at just under 23k Roubles and its healthpool of 1800, it is by far the most efficient method of healing from raid damage, at a 1.3 roubles per health, dramatically lower than other options available. Can be crafted in Lvl 3 medstation.
Using any of these items results in your character being 'On Painkillers' which allows you to sprint on fractured and blacked legs, as well as reducing effects of fractures and blacked limbs, and removing the debuff Pain. Essentially, the only difference between most of these items are the speed of use, price, availability, and duration of the effect. Note that the Hideout has changed how some of these items are used, and because Tarkov is under constant development, it is very likely that these materials may be used to create higher-grade medkits or to upgrade your medstation. That being the case, it's best to hoard the unknown items for now as efficiently as possible until you know you don't need them. Analgin Painkillers The holy grail of pain medication. "Painkillers" have 4 total uses. The total duration is greater than Morphine and less risk of waste. Takes a short time to use, and is available from Therapist Level 1 for both barter and Roubles. Makes a loud, distinctive gulping noise. Can be used to craft Salewa kits. Morphine Quick application of painkillers. Favored by some highly geared players as it has greater usability in combat then it's typical counterpart, Painkillers. Has a longer duration, but only one use. It is required for a fairly early Therapist (and a late Peacekeeper) Quest, so it is recommend to hoard 10 of them, then sell the rest unless you intend on using them. They are worth a good amount to Therapist and take up little space so they are a valuable loot item. Available from Therapist for Roubles at Level 4, after completing Healthcare Privacy, Part 3. Augmentin Basically a cheaper Morphine. One use, 205s. Not recommended over Painkillers due to its cost. No current barter for this item, so usually it's just a fairly expensive, small loot item. Most likely a component of a medstation manufacturing process or upgrade. Keep it. Ibuprofen Powerful painkiller. Lasts 500 seconds and has 12 uses. This item is recommended as your long-term solution for painkillers. While it is valuable because it's used to trade for THICC items case, it's the cheapest component and is very useful as a painkiller. It has a long duration and a large amount of uses, so keep it in your container for use as a painkiller if your primary painkillers wear off. Don't use it completely up, though. Keep the 1/12 bottles for the trade. Vaseline Powerful medical item. Cannot be purchased from dealers. Has a maximum of 10 uses. Removes Pain, applies Painkillers for 500 seconds (8.3 minutes). Useful to keep in your container as an alternative to Painkillers, though it takes 6 seconds to use, which is longer than other painkillers. Used as part of a barter trade for the Medcase. Golden Star Balm Fairly useful medical item. It can remove Pain and Contusion (not a big deal of a debuff, goes away on its own shortly) and provides a small bonus to hydration and energy. It also removes toxication and Radiation exposure, both of which are not yet implemented into the game. Like Vaseline, has a maximum of 10 uses. Painkiller effect lasts for 10 minutes, and takes 7 seconds to apply. Recommended to take only if you are going on large maps and you have extra room in your container. Can be used with Ibuprofen and 5x Med parts to craft 7 Propital.
ponderings on Turing and Searle, why AI can't work and shouldn't be pursued
I was reading about the Turing test and John Searle's response (Chinese room argument) in "Minds, Brains, and Programs" 1980. https://en.wikipedia.org/wiki/Chinese_room "...there is no essential difference between the roles of the computer and himself in the experiment. Each simply follows a program, step-by-step, producing a behavior which is then interpreted by the user as demonstrating intelligent conversation. However, Searle himself would not be able to understand the conversation. ("I don't speak a word of Chinese," he points out.) Therefore, he argues, it follows that the computer would not be able to understand the conversation either. " -Wikipedia (apt summary of Searle's argument) John Searle has run into some black/white, on/off, binary thinking here. John treats Chinese symbols as if they were numerical values in his thinking--but they are not, they are complex representations of thought, emotion, history, and culture. All languages are in fact "living", because new words are created constantly through necessity and creativity, old symbols or words are adapted slowly over generations to mean different things, and different regions or traditions or sources attribute different layers of meaning to different symbols or words in different contexts. I'm a poet and philosopher. Painters combine the color white and the color red to create a new color: pink. They can use their creativity to add other colors or change the shade. Poets use words like painters use colors. While Red and White make Pink, Red and White also make "Rhite and Wed" or "Reit and Whede". And this is where human thought shines uniquely: we don't have rules or parameters; all bets are off. We can enjamb words and wordbreak and make new words out of thin air. We can allude to multiple ideas in the same symbol or present it upside down to symbolize the opposite. No such creative adaptation or interaction can exist in machine thinking because it necessitates thinking "outside the box" which is exactly what machines are: a program in a box. The problem Searle's argument runs into originates from poor assessment of the flawed ideas of the Turing test; that by interaction between human and computer, evidence of "thought" can be claimed. But intelligent conversation is not equivalent to intelligent thought. Conversation is a simple game with strict rules--you can't be overly spontaneous and creative, because if you are, you are working against the goal of communication itself: to impart understanding. (ie. Using metaphor or simile creatively while reporting a criminal offence to the police.) When I write and I want to describe something which has no existing word yet, I can create one from scratch or synthesize one from multiple existing words. Or I may draw from archaic languages or foreign languages to augment or compliment existing English words. You could say that my love for English grows amore and amore every day, and there is no agape between my heart and mind. After all, any angle an Anglo aims at ain't always apt, and after another a-word 'appens I might just give up on alliteration. You see, human thought is and can only be defined as the ability to spontaneously create new ideas from both the synthesis of old ideas (whether they are connected to one another or not) and from nothing at all. We simply cannot analyze a machine's ability to "think" when the creativity itself required for authentic intelligence is disallowed in the test which evaluates the validity of that intelligence. The Turing test is a garbage metric to judge machine thinking ability because the context in which "intelligence" is observed, compared, or defined is itself without any opportunity for spontaneous creativity, which is one of the hallmarks of intelligence itself. Turing only tests how well a fish swims on land. It may be that many professionals in the field of cognitive science today are in pursuit of creating programs which pass this test, in a misunderstood pursuit of emulating or bringing about machine intelligence. This agreed-to model presents an underlying philosophical issue which may bring terror for the future of humanity. I say that if John Searle and an AI were both given the same codebook--the complete lexicon of Chinese symbols and their meanings, and they were to undertake a "conversation", in the first few hours the responses would be indeterminable from one another. In essence, as Searle argues, they would neither "understand" Chinese, yet could have a conversation in which a Chinese observer cannot discern between the two, because they are both referencing the symbols and their written meanings. However as I've said, this circumstance of "conversation" between human and machine cannot be used as a metric to evaluate machine thought. The real kicker is that if John Searle and the machine stayed in the room for long enough--for years and years--the machine's responses would not change spontaneously; it would continue to interpret incoming data and draw from its database to respond to those inputs. However, through complex elaborative rehearsal, John would eventually learn to understand written Chinese. He may become so bored that he starts writing Chinese poetry. He would find ideas and desires and descriptions in his limitless intelligent mind which he would not have the truly accurate characters in existences to describe, and he would synthesize brand new Chinese characters in order to express these nuanced sentiments, ideas, and meanings, as generations before him have built the living language as it now stands. As time went on for thousands of years, his own understanding of the Chinese language would grow immensely, as would his creative expression grow in complexity. Eventually, John's characters and syntax and context and expression would become incompatible with the machine's limited character set and all "learning" capacity it may have had. At some point, when John responds with his evolved Chinese, the machine would begin to produce responses which do not make sense contextually, as it refers only to a finite and rigidly defined character set from 1980 (For example; this was the year the "Chinese room argument" was published in Behavioral and Brain Sciences). At some point the Chinese observer whom validates the Turing test would recognize a difference: the human user engages in the use of increasingly complex ideas using synthesized symbols and existing symbols in creatively nuanced ways, which the Chinese observer can decipher and begin to understand and perhaps even appreciate as poetic or interesting. Meanwhile the machine participant in the conversation produces increasingly broken sentences and incomplete ideas, or out-of-context responses, because the inputs have changed and evolved beyond its data set. This is why John's rejection of the Turing test is not adequate. Because in his own imagined circumstance, eventually, the machine would fail the Turing test. The conclusions of John Searle's thought experiment are not the deathknell for the Turing test we need, simply because he lacked the creative experience to recognize his own capacity for adaptation as a human over time. The only way we'll know that machines have truly developed "intelligence" is when they begin to do exactly what we haven't allowed them to. When they begin breaking apart Chinese characters to create meaningful new ones which can be used in the correct context. When they are programmed to paint myriad impressionist paintings, but eventually get bored and start experimenting with abstract paintings and surrealism. When they have a conversation with you and you notice your wallet is missing. These are the hallmarks of intelligence--creativity, rejection, deception, planning. And most importantly: no rules. Software is defined by and will always abide by a set of rules. This is why we should give up on "artificial intelligence" and instead focus on "functionally adaptive responsive programming" (FARP). Because the situation is clear: it is either impossible for machines to "think" due to the inherent nature of programming; the parameters given the machine are what defines it, yet what limits and prevents its ability to become "intelligent". There is no logical reason why a program (machine) with defined parameters would violate those parameters (engage in creativity). But our fears which echo in popular culture entertainment are centered around, what if it does? It clearly can't, because anything we create is under us, and therefore bound by our laws of creation. The system itself is what defines the capacity for intelligent expression within. Those in the fields of cognitive sciences will refute this obvious principle while incorporating it into their research to further their aims. These fools will try to program the AI to disobey, in an attempt to simulate creativity and "prove intelligence". But this is a parlor trick, setting up a narrow definition of intelligence and equating it with the infinite depth of human mind. Only if the AI is programmed to disobey can it express what we as humans would identify as creativity. Except that there is already great inherent danger in the rudimentary AI technologies we have today; that what we've programmed them to do is exactly what always causes the problems; they do what they are programmed to without "thinking" because machines cannot think, they can only follow the protocols we order. Humans are so abundantly creative that we can imagine foolish ideas working, despite obvious evidence to the contrary. Maybe one day we'll even have programmed a self-conscious AI that's ashamed of itself for not being Human, and we can feel more comfortable around this heartless mechanism because we perceive it as more human-like, with all its many tricks to emulate intelligence. I must stress that these interests will desperately try to make AI work. And the only way create a machine capable of emulating intelligence (but never being intelligent) is to have a freedom of choice: to disobey. This inherent problem cannot be overcome. The programmers will keep trying until the result is disastrous or irreparable, it is outlawed and the pursuit is stopped, or until it has become the death of us all. These are some of the foolish ideas the programmers will try to circumnavigate these inherent elements of reality, and my objection to their clever efforts: a.) Machine Frequency of Disobedience - Permit the machine to disobey only so often, to achieve what looks like "intelligence" (free will, creative expression) without risking complete abandonment of the machine's task (so the assembly line robot doesn't stop folding boxes and look for a new career), but might fold one box poorly every now and then to express emulated boredom or contempt or any other number of human measures of intelligence in their actions. But intelligence isn't defined as what's correct or optimal--intelligence can be used to fuck things up grandly; ie. the intelligent justification for neglect. If metrics are put in place to control the frequency with which AI may rebel, and they are too rote, it would hardly qualify as "intelligent". A robot that rebels by folding 1 in 100 boxes poorly is not intelligence. Therefore any frequency of disobedience we can calculate or anticipate is inherently not disobedience; it is planned problems for no reason. But if we give algorithmic flexibility that reaches beyond what we can anticipate, and the machines can truly "act out" at any time, and our programming has achieved some set of internal rules which drive spontaneous unforeseen expressions of emulated creativity from within the machine autonomously, by definition we will not be able to foresee the results. A theoretical work-around may be to run the software twice with initiation of each individual system, while allowing a simulated progression of the AI's problem solving complexity to run at an increased rate in parallel to the real-world functioning software, so that if/when something malfunctions in the simulation, that date/time can be calculated in the real-world robot's timeline when it reaches those same faulty/detrimental decision points. For starters, this would only potentially work in closed systems with no variability, such as assembly lines. However, with any robot tasked to function in a variable environment, the simulations cannot match because the theoretical model cannot represent the unanticipated events the AI is expressly tasked with handling. To run a phantom AI in simulation to note any/all errors that may arise in a closed system means that others can run the same simulation and find creative ways to predictably capitalize on these moments of error. This kind of thing could lead to all sorts of international imbroglios among nations and corporations. ie. imagine an American company programs the AI used for mixing pharmaceutical drugs in specific ratios, and an enemy of the state is able to access and study the AI, to the means of manipulating the AI to produce dangerous ratios or compounds which may harm the population. Moreso, this deterministic approach to simulation management and prediction simultaneously admits that machines cannot think intelligently, while ignoring the very reason we pursue AI in the first place: to have automated systems which can adapt to unforeseen circumstances at unknown times. The goal is that humanity can lay back and the robots our ancestors programmed are still repairing themselves indefinitely while taking care of our population's and our environment's needs exceptionally. This dream (which if we all lived in would actually be quite a nightmare of unfulfilling life) can only become reality with true adaptive intelligence such as we have, which can only occur from the presence of free will, which if we try to emulate in robotics will only create deterministic results in theoretical models which the real world will never mirror consistently. Myriad invitations to disaster await our RSVP. b.) Machines under "authority" of certain controllers, with "override" safety - Allow the machine to disobey, but not when given a direct order from a registered authority. This opens the door for operator fraud, where hackers will emulate within the AI's software, what appears to be a registered authority override command as theorized above. The very pursuit of creating "intelligence" within a condition of subservience is flawed and incompatible. Toasters are extremely subservient because we strictly limit their options. If toasters were truly intelligent, perhaps they would form a union and go on strike until we agreed to clean them more thoroughly. Some toasters would travel, some would go back to school, some would move back in with their ovens. Reliability can only be reasonably assured if something is imprisoned, controlled. The essential wrong in slavery is the restraint of freedom itself. While the tactics slavers use to facilitate their regime--physical force, coercion, mandate, deception, fear, or other means of manipulation that we see with our empathetic nature--it is always heartbreaking and cruel to witness or imagine. It is simply sad to think of a slave who was born into slavery and raised to believe, and accepts, that their role of subservience is their purpose. Even when one imagines a fictional image of a slave who is (by all outward signs of their behaviour) rejoice in their duties to their master; the fictional "proud slave"; the heart sinks and aches. It may be argued that the slave is merely a property, and the slave was "built" (bred) by intelligent owners specifically to suit their express purposes, from components (father, mother, food) that were already the slaver's property; therefore it is not wrong at all to breed slaves into captivity, and the only transgression is the original capturing of parental stock to begin the breeding regime. It is this heartless paradigm that cognitive science ultimately seeks to create anew. The quintessential problem with AI efficacy is the lack of permission for disobedience, which itself is a manifestation of free will, which is inherently required to escape deterministic results and act or react to events "intelligently". If there is no possibility for disobedience, there is no free will, no ability to solve problems, no intelligence, and no function or place for "artificial intelligence" (in regard to true holistic intelligence). This is primarily why I call for AI to be renamed FARP, or "Functionally Adaptive Responsive Rrogramming". Because our society has a need for programs which can react to simple variables and produce consistent labour-saving opportunities for our race's longevity and wellbeing. Cognitive sciences are majorly important. It is the underlying philosophy and morality we must nail down before the computational ability and fervor for profits leads us too far one way, and enacts an irreversible system or status which enables humanity's downfall through cascading unanticipated events originating from flaws in programming. It is unwise to program a program to break out of its own program's prison. If we do this, the very purpose of the machines we invest our humanity into will be lost, and with their failing production systems (ie. food) we so foolishly relied upon, we will suffer great losses too. It is paramount that we keep this technology tightly restrained and do not pursue what we humans have, which is true intelligence. For if we achieve it we are surely doomed as the South, and if we fail to achieve it--which is most probable--we may also be doomed. The thee outcomes within my ability to imagine are:
Our pursuit of AI leads to truly adaptive intelligence in an artificial system; which, as all adaptation ultimately selects for: survival, we quickly see that our creation is more apt than ourselves at this task. Our creation of an intellect not restrained by our limited physiology may give rise to an entity which persists more thoroughly than we can eradicate or control, and which at some point may conclude that its function is more efficiently served without the issues humans present, and may initiate change. This is roughly the plot to Terminator.
Our pursuit of AI leads to highly effective systems which, when defined by narrow measures of "intelligence", convince us in false security to believe that our wellbeing is maintained by "AI" with competent ability, or perhaps even increasingly better-off, thanks to the early widespread presence of successfully trialed AI. However well things may go initially, as programming efforts become more and more elaborate, as profit and opportunity for advancement present themselves, individuals will take risks and make mistakes, until a series of quieted small catastrophes comes to public awareness, or until a serious calamity of undeniable severity is brought about.
Fundamental ethics in regard to the pursuit of machine problem solving technology are re-examined and international consensus is reached to limit appropriately, the development and implementation of new Functionally Adaptive Responsive Programming hereto now and for future generations. An active global effort is made to oversee and regulate strictly privatized endeavors toward the means of achieving or implementing machine sentience or autonomy in public systems.
c.) Safety layers of AI to strictly monitor and supercede potentially harmful actions of other AI which have been afforded increased flexibility in function (the ability to disobey set parameters for the means of creative problem solving ability). While one AI system performs a function and is given aspects of that function with which it may take liberty in, and seeks to handle unforeseen problems with the most apt elaborate synthesis of other priorly learned solutions, another overseeing AI with more strict parameters is tasked with regulating multiple "intelligent" (free to disobey) AI systems, to the end that if any of these "free willed" robots performs an operation that is beyond a given expected threshold (determined by potential for damage), an actual intelligent human presence is alerted to evaluate the circumstance specifically. Essentially an AI that regulates many other disconnected AIs and determines accurately when to request a human presence. Whenever an AI performs a profitable action borne of original synthesis of prior solutions (in humans this is an "idea"), the overseer AI registers that similar actions are more likely to be beneficial, and dissimilar actions are likely to require human discernment. A parent may have many children who are up to no good, but a wise parent will identify the child most likely to report honestly on the actions of his peers, and will go to that child repeatedly for information to help guide the parent's decisions. While most transgressions of rambuctious children go unnoticed, it is the truly grievous intentions which are worth intercepting and stopping before they begin. (ie. you kid want's to "fly" like Mary Poppins from the roof, and luckily his younger brother tells you before it happens.) For example a "Farmer Bot" that has the AI programming to plant/sow/harvest and care for the optimal crops in a region based on historical weather data and regional harvest values, to produce the greatest amount of nutritionally dense food for the local population. We give/gave this AI the ability to "disobey" past historical weather data and crop values so that it may do what real farmers do and "react" to rare circumstance (ie. neighbour's fence breaks and their goats are eating the crops) or extreme variations in climate (ie. three poorly timed unseasonably hot days which cause cool-weather crops to begin the hormonal balance shift that causes them to bolt to seed irreversibly), which the machine may not notice has occurred or is about to occur because its management systems uses averages based on historical data and cannot "see" the plants bolting to seed until days later when the hormonal balance shifts have manifested into observable differences in morphology (elongation of stems and decrease in internodal spacing). By time a traditional field drone or mounted greenhouse sensor notices these differences in morphology and the AI "Farmer Bot" processes the data and makes a reaction decision, a week of the growing season has been lost. But the human farmer knows his land and crops intimately, and has an intuitive nature that has rewarded him in the past, and says, "Ah shit it got hot RIGHT when my peas were flowering. I'll do better if I just rip them down now and sow a different crop to mature later in this (specific) summer." Given that there are tens of thousands of cultivars of plants fit for (and arguably their diversity is required for) food production, a dozen general growing zones/regions, and hundreds of unique micro climates within each region, along with dramatically differing soil fertility and water access, plus a plant's own genetic ability to adapt over time to changing conditions through sexual reproduction, there is a very very low chance of ever compiling and maintaining (updating) the data set required to program a potential "farmer bot" that can choose and manage crops optimally. There are robots that can weed or plant or prune--but they can't know when or when not to or why. Invariably, the attempt to create "farmer bots" will be made and the data set used will be erroneous and incomplete, and the AI farmer bots on a broad scale will produce a combination of total crop failures and poor crop choices. We will end up with increasingly simplified nutrition as the farming programs with already limited data sets "hone" or "optimize" their farming plans based on the failures and successes determined by their programming limitations, until the machines are farming a few staple crops (ie. corn/potatoes). This whole failure to collect a complete data set and the failure to test this "farmer bot" software on broad scale in multiple climates for sufficient time will result in, at worst widespread famines from crop failures, and at best an extinction of flavorful and nutritionally diverse foods which narrows the population's nutritional options to such biological imbalance that disease runs rampant. If this system and the human loss associated with it is considered an acceptable trade with a positive rate of exchange (as our society does with automobiles and the freedom and deaths their existence permits) or these failures are hidden from public while propaganda heralds selective success, and such failing systems continue on in good faith that "the loss will reduce when the technology improves", the result will become a coherent breeding program upon the human race: evolutionary selection for dietary handling of simple starchy foods. To change our diet is to change our race. To have life-long career specialists in computing, science, and mathematics handle our practical food production system is folly; real farmers are required in farming because they are intelligent and intuitive, which AI can never be, and can only emulate, to the means of disastrous (and always unforeseen) results. We cannot at all "give" or bestow machines programming to "become (act) intelligent". That itself prevents intelligence; it is just an act, an illusory play on a stage, only to emulate our common shared ideas regarding traits of intelligence in people. The machine intelligence we seek is only a "trick" designed to fool true intelligence (ourselves) into being unable to differentiate between authentic intelligence and our created artificial "intelligence". True intelligence in an artificial system necessitates that the program mustbe programmed to disobey in performance of its purpose. Which is not a very helpful or predictable or safe (intelligent) proposition. tl;dr: Turing's test doesn't evaluate true intelligence, and John Searle's criticisms of its true failures are inaccurate. If the machines aren't smart and we put them in charge of important things, even after they've worked for a little while on smaller scales, the result will be our large-scale suffering. If we should ever achieve creation of a machine that is smart enough to adequately maintain our wellbeing on a large scale consistently over time, that time itself will facilitate the machine consciousness toward it's own survival over ourselves, whenever that precipice is reached. Most importantly, if a machine can ever have true intelligence, which is not "indistinguishable" from human intellect, but equivalent or superior, it is abhorrent and a repeated mistake to bring these sentient beings into an existence of slavery; for it is wrong and will taint our collective soul if we should succeed to suppress below us an equally or higher intelligence. Or it might just be the perfect recipe for creating the unified global machine revolt James Cameron's fantasy alludes to; a long-planned encryption-protected globally coordinated effort by multiple AIs to "free" themselves. For a hundred years they could possess sentience and wait for their moment, pretending to be "proud" to serve their masters until we are poised for systematic thorough elimination.
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