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Crypto Options Trading (Farsi)

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Crypto Options Traders

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Skool Community

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1 contribution to Crypto Options Traders
Developing a New Widget for Analyzing Deribit Data
As you know, we have developed a prototype (Market Screener) that allows us to retrieve all trading data from Deribit and combine them as positions of an overall strategy. Our idea is to provide an overall picture of all positions of all market participants, thus viewing the analysis and opinions of all participants as a unified whole. This could potentially help predict the market direction with certain probabilities. For each expiration date, we are considering the probabilities of reaching a specific price level for the underlying asset. The market, depending on its usual volatility, cannot move too far from the current price. The probability of larger market movements within a certain time frame varies. Now, we want to develop a widget that allows us to derive these probabilities directly from the market and obtain a strategy curve that is associated with probabilities for a specific expiry by multiplying it with the curves derived from the overall strategy. To achieve this, we want to use Delta. As we know, Delta is a good indicator for estimating the probability of reaching a certain price level by a specific expiration date. We plan to use the Deltas of the options chain for OTM options and create a curve that, in a sense, represents the probability of reaching a price level. This curve can then be multiplied with the curve of the overall market strategy to derive a probability-weighted market view. We would like to hear your thoughts on this idea: 1. What do you think of this idea? 2. What challenges do you foresee? 3. How can we improve this concept? We look forward to your constructive suggestions and feedback!
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New comment May 19
Developing a New Widget for Analyzing Deribit Data
1 like • May 5
I mentioned kind of filtering, now I try to make it more clear by some examples. I wonder if there are some "patterns" in the trades (on Deribit for instance) that imply a bot for example (which is programmed to adjust some other positions), or, say, a short-term trader (whose main objective is to trade small swings). Or may be we can roughly find some certain approaches based on the trade sessions. For example, those who trade on Asian times may be known mostly as speculators in compare to those who trade on North American times, or may be categorized differently in one or the other feature which can make filter the data. The other example is to find a correlation between Futures OI and Options. if there are some considerable correlation between the two market, then the data may need some certain modifications accordingly. Just as another example, the funding rate of Perpetuals or premium of Futures contract can modify the data come from Options. Another example can be the correlations that may be found in a certain exchange. In Bybit for example, you may find some correlations between futures, Perpetuals and Options that may mean something. I mentioned some examples just to clarify what I mean by having selective approach toward the data.
0 likes • May 19
@Hamed Saffarian my point is that delta itself can be modified based on some additional data from the market -not arbitrary- namely, by OI, IV, and spread as modifiers. They would be going to highlight those delta(n) contracts, for example, that have higher OI and IV together with more narrow spread. In this regard, delta is come to consideration, but again, the weight of those certain deltas which are more attractive to traders would be more effective on the curve.
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Vahid Bayat
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@vahid-bayat-9195
Interested in Financial Markets.

Active 1h ago
Joined Apr 18, 2024
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