Please review ur strategy of Skewhunter on Dhan Hq if u value ur subscriber as it has almost wiped out more than 50% deployed capital in last 2 months. Also crossed average recovery days but never seen any recovery in portfolio. Also requested not to give just advice. Take necessary modifications at ur end
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I am also using Skewhunter on Dhan algo and can confirm the 50% drawdown in past 2 months. The fact that disappoints the most is that for the month of June the drawdown was 23% on dhan algo, whereas the strazy had 21% gain in the same month. So the net difference is circa 44 % which is impossible to imagine even after considering the slippage, variation in feed, etc.
As algo subscriber,
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I would like to request the admins of this forum to be more transparent and forthcoming on these issues.
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Are these strategies evolving over time in terms of parameter settings and optimization to compete with different market conditions?
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As correctly pointed out by the original post, we are not looking for advice because the strategies are automated and we can’t do anything about trade execution, slippage, etc. Rather as subscriber, we would like to stay abreast on the efforts put up by the algo team to manage drawdown and framework adopted to efficiently navigate the strategies in varying market conditions.
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Can Anyone confirm, when I have compare trades of Skew Hunter in Dhan and Strategy, there are multiple variance in type of trades. Does subscribing from Dhan or Strategy makes any difference in actual outcome except slippages.
Yes that’s why there is huge difference in drawdown in both platforms in same algo managed by straezy team. Some big profit trades taken wrongly in dhan hq.
For deploying trading strategies, should I use Dhan Algo Manager or the Stratzy app? Which one is better?
Hi @Adya_Raj @Watson @LALIT @chakradhara_rao_Bond
Thank you for sharing your observations.
Firstly, I would like to assure you that all LIVE Algos are continuously monitored by our team. However, monitoring an Algo does not mean modifying its strategy based on short-term performance or recent market conditions. The objective is to ensure that the Algo continues to operate as intended, while avoiding frequent optimisations that could lead to curve-fitting and compromise the robustness of the strategy.
SkewHunter is an Option Buying Algo with a Very High risk category. Strategies of this nature can experience extended drawdown phases before market conditions become favourable again. While we continuously monitor the Algo, neither recovery nor future returns can be assured based on historical performance, as market behaviour is inherently uncertain.
I’ve also written a detailed post explaining when Option Buying Algos are best deployed and how they can be used as part of a balanced Algo portfolio. I believe it will provide useful perspective while making deployment decisions:
Regarding the performance difference between Stratzy and Dhan, I’ve already addressed it in detail here:
I request everyone to refer to that post, as it explains the reasons behind the difference in reported performance.
@chakradhara_rao_Bond On both platforms, the strategies remain the same. The only difference is that on Stratzy, with the annual plan, you get a dedicated wealth manager. One more thing, new algos are always launched first on the Stratzy platform and then on other marketplaces like Dhan.
Hope this helps
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In a 12 month old algo as per you 2 months consecutive loses including today trade , now 70% capital wiped out and u r saying that it’s a short term failure of ur strategy.Most of the day it never going above buy price since last 2 months algo always taking trade at high level thereafter only hits SL. See today’s 1 trade although almost today again SL hit in 2 trades
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If the strategy is same and the underlying conditions of the strategy remains same in both the platforms, why does both platforms take exact opposite side entries? Please explain
This shouldn’t happen if both the platforms have same underlying conditions.
I m using algos since last 5 month this wiped out my capital more than 80% I would never suggest to use strategy algo now.my experience tells No proper monitoring is here available. Ur capital may be nil they will only give free advices rather than working on recovery. Any one can trade easily on 40% sl without watching market. It will be better than strategy algos. Thanx now I m unsubscribing all alogs by strategy. Bcz I don’t think it will again come profitable. Algos r making huges losses since last 2 months.
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Hi @Adya_Raj,
Thank you for sharing your perspective.
Evaluating an Algo over a longer period rather than a single market phase generally provides a more meaningful assessment, especially for higher-risk strategies such as Option Buying Algos, where performance can vary significantly across different market conditions.
As always, we continue to monitor all LIVE Algos to ensure they operate as intended. However, it’s important to note that neither recovery nor future performance can be guaranteed, as market behaviour remains uncertain.
We appreciate you sharing your experience with the community.
Today was sixth consecutive loss day for Skewhunter. My capital is down by 75%. I started with max allocation so you could understand the disappointment. Key observation I made during last week or so is that as soon as trade is triggered, the market moves in opposite direction and SL is hit, indicating inherent issue with strategy execution. Perhaps it is lagging or rendering late entries.
Have stopped Skewhunter algo to preserve the remaining capital. Deeply frustrated and annoyed beyond measure. Strongly recommend new users to be careful before using stratzy algos.
Hi @jay.gori ,
We expect optimization of the algo strategies rather than introducing so many new algos, which ultimately creates lot of confusion to choose an algo from. Most of the Option buying algos have huge drawdowns, is there anything being done to improve these algos.
Skewhunter and Skewhunter TSL are such algos which had generated good returns in the past, just to wipe out almost 50% capital in just 7 trading sessions, are you simply monitoring the drawdown irrespective of trade period? SLs are being hit everyday.
I would like stratzy team to improve the algo performance instead of launching new algos and saying that they are monitoring the algos even after 50% drawdown in just 7 trading days
And there is no option to set pre-defined profit booking as well, using which we can get some benefit out of the trades initiated by algo. If your answer is to manually track and close the trades, please note I am deploying the algos so that I don’t have to keep tracking the trades.
My 80% capital wiped out but from 8 June where I increased my capital from 1 lac to 2.5 lac. However,after multiple post stratezy team ignored all my posts rather than taking necessary steps to recover loses at least if they have taken trade manually 1 or 2 day it may recover everyone capital but they only work for subscription they have excuses if u lost ur all capital. It’s worst service from stratezy team.
Options-buying algos can behave like penny stocks, so investors need to be extremely careful before deploying their full capital. It is advisable to start with a small allocation and scale up only after gaining confidence in the strategy’s live performance. I have personally experienced a 50% loss in this algo.
If drawdowns become excessive and investors are losing a significant portion of their capital, the existing algos should be reviewed and optimized. Until the optimization is completed and validated, Stratzy should consider temporarily pausing these algos to protect investors from further losses.
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Hi everyone,
Thank you for sharing your observations and feedback.
I’d like to conclude this discussion with a few important points that may help everyone evaluate Option Buying strategies more objectively.
Firstly, all LIVE Algos on Stratzy are continuously monitored by our team. However, monitoring an Algo does not mean modifying its strategy whenever it goes through a difficult phase. Frequent optimisation based on recent market conditions can lead to curve-fitting, where a strategy performs well on recent data but loses its robustness over time. Our objective is to ensure that an Algo continues to function exactly as it was designed, rather than constantly changing it based on short-term outcomes.
SkewHunter is categorised as a Very High Risk Option Buying Algo. Strategies of this nature can experience extended drawdown phases before favourable market conditions return. While we continuously monitor the Algo, neither recovery nor future returns can ever be assured, as market behaviour is inherently uncertain.
One important point I’d like to highlight is that a losing streak, by itself, does not indicate that there is something wrong with an Algo. Every trading strategy goes through periods where market conditions are favourable and periods where they are not. The true evaluation of a strategy should always be based on its behaviour over multiple market cycles rather than a recent winning or losing phase.
This is also why we publish detailed historical statistics such as Maximum Drawdown, Average Drawdowns, Average Winning and Losing Trades, Average Recovery Time, Trade History (trade-by-trade details of the signals executed by the Algo) and several other risk metrics. These are intended to help users understand the historical behaviour of an Algo before deployment, so that they can decide whether its risk profile aligns with their own comfort level.
If a historical drawdown itself feels uncomfortable, it is perfectly reasonable to skip that Algo and choose one that better matches your risk appetite. Not every strategy is suitable for every investor.
For the same reason, we consistently recommend building a portfolio of uncorrelated Algos instead of allocating all capital to a single strategy. Option Buying strategies can act as one component of a diversified portfolio, but deploying them in isolation naturally exposes the portfolio to higher volatility and deeper drawdowns.
I’ve also written a detailed post explaining when Option Buying Algos are generally suitable and how they can be incorporated into a portfolio. I request everyone to refer to it once:
Thank you once again for sharing your feedback and contributing to the discussion.
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Hey Adya,
Not sure how you’re looking at algo trading, but I want to throw some light. This is not some get rich easy & quick scheme that stratzy team is building. These are curated strategies with detailed performance metrics information like drawdowns, avg win/loss, etc.,
First of all your approach of putting all ur capital into option buying itself is a blunder.. Options Buying strategy should only be satellite allocation to your portfolio but not the core part with less to minor capital allocation. The core should be built on Credit Spreads and non directional strategies. Trust me, you will never be able to succeed or become profitable just with options buying strategies..
Just to add some light on algo trading, algo trading is not something you see the past returns and put all your money into highest returns generating strategy.. You need to sort of build an entire portfolio with proper capital allocation based on the performance metrics and drawdowns.
Stratzy is actually helping an entire trade community, by giving an edge in the form of alpha generating strategies, especially for those who doesn’t understand the true nature of options trading and end up blowing the account.
thanks!
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Dear All, although I am still on borderline to start using stratzy, but here’s my 2 cents.
I have been using other algos for a really long time. Whenever I start using stratzy, I will be combining few non correlated ones, after carefully studying combined results.
Now if we keep demanding to optimize a single strategy, this will be unfair on others who wanted that non-correlation. In fact we actually expect Stratzy not to touch anything in the background after showing certain results.That will be more unethical and risky. If they really want to optimise, they can either come up with new one or very clearly communicate their intentions before doing any sort of modification in any of the deplyed strategy
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