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Author Topic: Hedging - Controlled Speculation  (Read 76 times)
Wind_Crypto (OP)
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May 05, 2018, 10:00:09 AM
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Was playing ard with bitmex leverage trading for the first time, and was quite addicted to the high margin multiples for bitcoin speculation. As played out in the movies, i made 100% in the first day, then lost it all on the following day -> for context i was trying to test the extreme 25x or 50x multiples. So my "bets" usually close within hours or even minutes. Lucky for me I'm only playing around with a trial base of $100. Noob speculation is *bad* and *unwise* guys.

Then i remembered that I had a post on hedging sometime back. In times of btc-led volatility, ppl holding large amts of btc might actually consider opening certain shorts futures positions to hedge against large losses. Of course your gains are mitigated too if btc soars. Vice versa. If u're using the perpetual contract though, just be careful of the funding rate - just make sure u're not "paying" high costs for keeping the position open. Won't elaborate here, u can read up online for urself if u wanna learn more.

====Hedging post from Feb======

What does hedging mean? Basically when the market goes against u, u limit your losses. Of course your cut of the profits will be lessened as well, but in times of volatility, and there's always volatility in crypto, some knowledge of hedging is always useful to protect your heard-earned crypto gains. For most traditional assets (stocks, bonds etc.), various readily available derivatives options serves to fulfill the need for hedging. However, even as we're starting to see various instruments such as bitcoin futures, this function is still relatively immature in the Crypto space.

So where do we start?
Some experienced crypto-investors may say that the only strategy you need is to diversify your portfolio into a wide array of tokens, in not just the NUMBER of tokens or use-cases, but in their 'industry' or use-cases as well (e.g., e-money tokens, protocol tokens, utility tokens). That might work well for the mature equity markets, but crypto participants would realise that the crypto market is extremely correlated. When some event occurs to disrupt the confidence in bitcoin, or the crypto-sphere as a whole, the whole market tanks together. Once rallies come, >90% of the market shares in the gains. Just look at the 1-hrly or daily % changes on coinmarketcap, u'll see that the degree of co-movement is very high.

While various strategies involving leveraged margin longing or shorting, or even the newer crypto-derivatives exist, this post shall focus on a simpler strategy, i.e., rule-based cashing out and re-entry based on periodic portfolio changes. To illustrate this, let us take a period of high volatility, say the last three months, and construct 3 hypothetical portfolios with a mixture of fiat/btc/eth/random altcoins holdings.

[For the purpose of this exercise exercise, the following prices scrapped from coinmarketcap was used. (Link to table image at https://www.dropbox.com/s/qg3gzc4bawqpal4/table1.png?dl=0) ENG/ZRX/BNB/AIR were random alt-coin picks across a variety of purposes and marketcap.]

Now let's set some rules for each portfolio:
A. 30% Cash, 15% BTC, 15% ETH, 10% of ENG/ZRX/BNB/AIR each @start, HODL.
B. 30% Cash, 15% BTC, 15% ETH, 10% of ENG/ZRX/BNB/AIR each, WEEKLY REBALANCING*
C. 30% Cash, 15% BTC, 15% ETH, 10% of ENG/ZRX/BNB/AIR each @start, CUSTOM RULE**

*Rebalancing: i.e., when the price of a token runs up, relative to others, and its share in your portfolio rise, u sell some, so that it's share in your portfolio stays constant over time.
**CUSTOM RULE: 50% profit-taking (of weekly gains) when weekly portfolio change is > 30%, Re-entry of 50% of available fiat balance when weekly portfolio change is < -30%

Voila, the results are as follows.

                    A                B              C
20171119    10,000     10,000     10,000
20171126    12,608     12,608     12,608
20171203    12,986     13,239     12,986
20171210    13,371     13,682     13,371
20171217    19,704     19,916     19,704
20171224    20,544     21,023     20,292
20171231    29,320     27,228     27,377
20180107    55,215     43,040     45,387
20180114    61,577     46,558     48,570
20180121    47,609     39,662     40,969
20180128    44,626     38,219     39,000
20180204    32,593     31,384     32,852
20180211    26,651     24,590     30,753

e.g.



Some key takeaways here,

- The weekly rebalancing portfolio (B) delivers returns which are on par, or worse off than the reference HODL portfolio (A).
Intuition: This could be because the idea of mean-reversion of returns, i.e., when people expect prices to always drop after rising for some time, or trend up after declining for some time, might not hold true for individual tokens in crypto, due to token-specific factors (gd/bad news, team issues etc.) which can often cause moon or doom scenarios.

- The 'take-profit' portfolio does quite ok. It seems to be the most resilient in the last few weeks, when the entire crypto market took a beating. Note that the cash-out rule kicked in 3 times over the period, while the re-entry rule did not kick in at all. No declines exceeded -30% (or even -20%) on a weekly basis. Caveat: It is very likely that if the data frequency we were using were shorter in intervals (e.g., two-day changes), this portfolio would have performed even better. I recalled there were multiple times when the market tanked significantly over a short period, and ran up for 1-2 days subsequently. The re-entry and cash-out rule would have benefited significantly from such short-term volatility.

This post is not intended to tell u to follow the strategy above. It IS intended to tell u to learn to develop your own strategy over time, based on your own set of trading rules and intuition. Those who outwins and outlasts everyone else in Crypto are often those who know what they're doing. With 2017's huge run-up in market cap alrdy, it's probably a bit too optimistic to depend on 'luck' alone in trading.

As promised, those who wish to have a copy of the excel and play with the parameters for themselves (including tinkering with the custom rule) can get it here https://www.dropbox.com/s/vskcfdcwu274cjc/Portfolio%20Simulations%20Excel.xlsx?dl=0. Have fun folks.
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