In essence, the options space operates as a market within a market, and because contracts represent 100 shares of the underlying asset, they can offer tremendous growth potential. Of course, there is no such thing as free, especially on Wall Street. While it’s true that, say, a 3% move in the open market can sometimes result in a payout of 100% or more in the options market, that advantage isn’t free.
Obviously, such trades must be performed as planned for you to reap your huge reward. However, the process is not easy because, unlike buying a common security, options force you to deal with certain complexities:
You must choose a specific pricing region (strike).
You must choose a specific time window (expiration).
You are exposed to non-linear payoffs.
The error is not continuous but discrete.
Basically, options trading doesn’t leave much room for forgiveness. Generally, being “more or less right” is indistinguishable from being completely wrong. Additionally, difficult decisions regarding strike prices and expiration must be made well in advance of any potential move. Therefore, precision in the options market is not elective: it is built into the instrument.
To better understand the environment we face in the derivatives space, I have been using a quantitative methodology through a hierarchical lens. Essentially, the idea is to break down the price action into discretized tests to uncover probabilistic behaviors based on frequency dynamics. In other words, consistent behaviors should create increases in probability mass, which provide a beacon for potential trading targets.
To further improve this analysis, I have expanded this concept to create a three-dimensional graph called risk topography. Fundamentally, a topographic visualization preserves shape, asymmetry, and voids. This last point is particularly important in determining where the results of specific quantitative signals are most materializing.
It must be said that risk topography is not a standard metric in finance. However, I think that once you recognize its usefulness, you will appreciate the greater dimensionality of analysis it brings.
Chinese e-commerce giant JD.com (JD) has struggled throughout this year, with JD stock losing more than 15% so far this year. Still, recent momentum suggests a possible turnaround could be underway. Notably, in the last five sessions, JD has gained approximately 3%. Interestingly, however, the latest implied volatility (IV) data suggests that the market is not expecting such a large swing in the coming weeks.
Barchart’s Expected Move Calculator forecasts a range between $27.16 and $31.64 for the options chain expiring on February 20, 2026. In aggregate conditions, the 10-week returns for JD stock should generally fall between $28.50 and $31, with price clustering occurring around $29.60 (assuming an anchor price of $ 29.40, closing on Friday).
However, the current quantitative signal for JD stock is the 3-7-D sequence. In the last 10 weeks, JD recorded only three weeks higher, leading to an overall downward slope. While it may seem bearish, under this setup, 10-week forward returns would typically range between $27 and $33, with a predominant price cluster just below $30.
Given this behavioral trait, the 29/31 bullish call spread expiring on February 20, 2026 may be more attractive to contrarian options traders. Using data provided by Premier Bar ChartThis trade has the breakeven price set at $29.89, which is close to where JD stock tends to cluster based on the Risk Topography chart. At the same time, there is some potential for further activity between $31 and $31.50.
Ultimately, the 29/31 call spread offers a good chance of not losing money while also fighting for the $31 strike, which would trigger a maximum payout of almost 125%.
Data infrastructure specialist NetApp (NTAP) is another name that has not performed well this year. Since the January open, NTAP stock has fallen nearly 5%. It’s not a terrible performance but it’s not exactly encouraging either. The Barchart Technical Opinion indicator rates the stock as a Hold, which is not an unfair assessment when looking at the overall price dynamics.
Based on IV levels, the market is not anticipating a big move in NTAP stock. According to Barchart’s Expected Move Calculator, NTAP could fetch between $102.95 and $118.08 for the options chain expiring on February 20, 2026. From a quantitative perspective, added conditions would put NTAP’s 10-week returns between $109 and $115, with price clustering likely to occur around $112 (assuming an anchor price of $110.51).
However, the current quantitative signal is the 3-7-D sequence. With this setup, NTAP stock’s 10-week returns would be expected to range between $100 and $135, with the price cluster likely to be predominant around $120.
When looking at the risk topography, the maximum density doesn’t actually appear exactly at $120; that is rather an approximate field that uses the estimation (calculation) of the core density. In reality, price movements tend to cluster between $120 and $122.50. That really makes the Bullish Call Spread 115/120 Expires on February 20, very attractive.
If NTAP stock rises to $120 at expiration (which appears to be in play), the maximum payout would be 150%.
Among the stocks on this list, Zscaler (ZS) clearly represents the best performer, gaining almost 28% since the beginning of the year. At the same time, it has recently suffered heavy losses. In the last month, ZS shares have fallen more than 8%. In the last semester, security has dropped 27%.
According to the latest data from IV, the market anticipates a considerable swing in ZS stock. The Barchart Expected Move Calculator reports a possible range between $210.48 and $250.56 for the February 20 options chain. From a quantitative point of view, the aggregate data suggests that Zscaler’s 10-week returns would likely range between $225 and $255, with a price cluster at $237.50.
However, the current quantum signal is the 2-8-D sequence. Under this sequence of strong selling, 10-week returns would likely range between $212 and $270, with a predominant price cluster around $238. However, using the risk topography, we can see increased activity at $250, which provides an intriguing idea for a bullish trade.
The boldest speculators may consider the Bullish spread 240/250 which expires on February 20. This trade has a breakeven price of $243.60, making the bet more likely from an acceptable standpoint. However, the duration of the second leg of the transaction allows traders to reach $250, which would generate a maximum payout of almost 178%.
On the date of publication, Josh Enomoto had no (directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article are for informational purposes only. This article was originally published on Barchart.com
