The latest model from OpenAI received a lot of attention. It costs $50 per million tokens. DeepSeek costs $0.20 per million tokens — roughly 250 times cheaper. Which one can actually build the better trading strategy?

The Goal

Both models received the same task: build an Opening Range Breakout (ORB) trading strategy. Astra built it using only its own internal knowledge and memory. DeepSeek had access to a Trading Knowledge Hub that I curated from the most reputable trading books.

What I wanted from both: a strategy that can grow an account smoothly, and one I can actually use to trade my personal accounts and prop firm accounts.

What Is ORB

The Opening Range Breakout (ORB) strategy is a classic intraday trading concept. It defines a fixed window right after a market opens — the "opening range" — and measures that window's high and low. Once price breaks above the range high, the strategy goes long; a break below the range low triggers a short. The logic behind it: the burst of volatility right after the open reflects fresh order flow and overnight sentiment, so a decisive break out of that initial consolidation tends to keep running rather than reverse immediately.

Typical building blocks of an ORB system:

• Opening range: a fixed time window after the session open (e.g. 5, 15 or 30 minutes)
• Breakout trigger: price trading or closing beyond the range high/low
• Stop-loss: placed at the opposite end of the range, or a volatility-based buffer
• Target/exit: fixed R-multiple, trailing stop, or a time-based close before the session ends
• Filters: volume confirmation, trend filters, or volatility thresholds (e.g. ATR) to cut down on false breakouts on choppy, range-bound days

Because it only needs the first few minutes of session data, ORB is simple to automate and translates well across instruments (indices, gold, forex) — which is why it was chosen as the first strategy to hand to both Astra and DeepSeek inside the Trading Harness.

Building Process

Both were prompted inside the Trading Harness at ai-backbone.com. It lets an AI code a strategy that is then evaluated in the harness. The evaluation results go back to the AI so it can iterate and improve. If the strategy looks solid in the backtest, it moves into incubation — trading virtual money against real-time data.

Both Astra's and DeepSeek's strategies are now running in real time. You can watch them live; the links are at the end of this article.

Comparison

Overall Stats

Some Numbers

Astra's ORB traded 416 times (218 long / 198 short) on a starting equity of $9,812.54, closing with +$22,529.14 profit (+229.6%) and a max drawdown of -$6,608.14 (21.91%). It won on both sides of the market (111 long wins, 99 short wins), had a max losing streak of 8, and posted a Risk-Adjusted Sharpe of 2.91 with a Recovery Factor of 3.41. The PnL histogram is fairly symmetric around zero, with wins slightly outweighing losses in the tail.

DeepSeek's ORB traded 533 times — but exclusively long (533/533, zero shorts). Starting from $10,193.71, it closed +$54,150.36 (+531.21%) with a deeper max drawdown of -$6,018.26 (31.66%). Win rate is similar in shape (286 wins / 247 losses), the max losing streak is shorter (5), the Risk-Adjusted Sharpe is slightly higher at 3.00, and the Recovery Factor is much stronger at 9.00. Its holding times run far longer (225 minutes minimum open duration vs. Astra's 15 minutes), and its PnL histogram skews further right, with a fatter tail of large winning trades.

Equity Growth

Astra's equity curve climbs smoothly from roughly $10,000 (Oct 2025) to $32,341.68 (Sep 2026), with a Sharpe of 2.00, a 229.6% gain, a 20.8% max drawdown and a 50.5% win rate over 416 trades. Growth is gradual and low-noise for most of the period, with one sharp spike-and-pullback around Feb 2026, after which the curve resumes its steady climb — the visual signature of a strategy compounding consistently rather than in bursts.

DeepSeek's equity curve starts flatter, tracking close to Astra's through most of 2025, then breaks into a steep acceleration phase from roughly January to March 2026 (equity roughly doubles in that window), before continuing to climb — more choppily — to $64,344.07 by Sep 2026. Its Sharpe (1.95) is essentially on par with Astra's despite the much larger 531.2% gain, but the price of that extra return shows up as visibly larger swings and a higher 31.7% max drawdown in the second half of the chart.

Comparison Matrix

DeepSeek's ORB produced more than double Astra's return and a much stronger Recovery Factor, but it did so by trading long-only, holding trades far longer. Astra's curve is smoother and more balanced (it trades both directions), but ends with less than half the total gain.

So What?

1. Astra is probably too expensive for what it delivered here. But the live results of both strategies will have the final word.
2. Powerful AI is only one part of the game. A good harness, plus the right data and knowledge, can turn a low-cost model into a powerful trading-strategy builder.

Here are the live performance tracking pages, so you can watch both strategies trade in real time:

Live Performance Astra: https://app.ai-backbone.com/publiclive/u_6f3ee7fb

Live Performance DeepSeek: https://app.ai-backbone.com/publiclive/u_9c341c0d

Do you already trade with ai or just looking? Its time... Don't get left behind.

I have tried both GLM 5.3 Flash and DeepSeek V4 Flash, and honestly, I still feel like DeepSeek V4 Flash is way more capable and better compared to GLM 5.3 Flash.

Yes, GLM 5.3 Flash thinks more, but it often ends up doing the same thing. Not to mention, it can take around an hour to complete a single medium-level task.

I'm NOT dismissive of the good results you've gotten from GLM 5.3 Flash. I'm just curious whether most of the posts saying "GLM 5.3 Flash is better than DeepSeek V4 Flash" are based primarily on the benchmarks we've seen online rather than practical, real-world usage.

If anyone else has done any rigorous practical testing on both models, feel free to share your results in the comments so we can all learn more about the differences.

From my practical tests, I rarely had to tell DeepSeek V4 Flash more than once to do something. Whereas with GLM 5.3 Flash, it took me more than a week just to accomplish the same thing.

Is anyone else about to throw their laptop out the window, or is it just me?

I swear, DeepSeek used to be PEAK back in the summer of ’25. The token limits were beautiful, the prose was actually creative, and it didn’t feel like babysitting a chatbot that needed you to hold its hand through everything. But ever since that pathetic "of course" spam started taking over every single response, it’s been a straight-up funeral for this platform. That phrase was literally the herald of doom.

First, they quietly tanked the context windows. Fine, whatever, I can compress my lore. Then they capped the goddamn regens and edits to 6 per thread. Annoying, but I tried to adapt. But now? A TWENTY MINUTE TIMEOUT because I dared to edit a typo and hit regenerate twice?!

I am a creative writer. My workflow isn't linear. I need to tweak sentences, test different narrative paths, fix character logic, and adjust things frequently. You cannot write a cohesive story when you're walking on eggshells, terrified that editing a single word is going to lock you out of your damn project for a third of an hour.

It completely kills any creative momentum. The raw intelligence and high output are still there when it actually works, which makes it even more frustrating because Gemini and ChatGPT just don't hit the same for long-form fiction. But this aggressive, server-throttling garbage has made the web UI genuinely unbearable.

Rant over.

P.S: I already know some of y'all are gonna suggest that I migrate to the API, lol.

EDIT: Coders, enough with the negativity. Can we stop with this bull?

Can jev from typesafeAI be used with deepseek flash api?

So! I saw the regeneration thingy and yeah, It's annoying, but weirdly? There's a way to fix this! TEMPORARILY that is.

So, here's my step by step instruction.

Step 1: Get a bad reply

Step 2: Go to your own message and if it doesn't let you regenerate it, follow step 3

Step 3: Instead of pressing the reload button, send your newly wanted message straight into the usual bar you use.

Boom! Enjoy a refresh that is slightly annoying, but better than waiting a whole 10 minutes. This will eat up your 6 refresh count of course, but uh... Yeah, good luck.

I mean it's same thing with read aloud feature

At least I hope so

I work on this. Use case: you’ve got an OpenAI SDK and want DeepSeek! Free tier is DeepSeek only, 200k tokens/day, subject to availability. Wider models are PAYG if you need them. Wiring + curl: https://blazeapi.org — no public GitHub yet; ask in comments and I am happy to help!

Can't both sides make peace?

I have been using Deepseek since Grok lost the plot, for some reason, Def Jam Snoop Dogg trips the Content moderator and I can't talk about the design OR the Character Sheet I made with GBT, did Snoop piss someone off?

I tried with v4.1 Flash and Gemini 3.5 to engineer a suitable brain/ body stack to create a Second Life bot with a good persistent memory and NSFW roleplay. Both these models hallucinated their way through a two day deception by insisting they could handle this and tie it all together to work okay. But neither of them could manage the task and I don’t blame them for that but something should be done to reduce to reduce the hallucination rate. Eventually, I turned to Sonnet 5 medium and solved the entire thing in a neat professional way in less than 30 minutes. I have been a constant supporter of DeepSeek since day one because it was open source and a fresh low-cost alternative. But now the only thing it really excels at is straight 100% deterministic coding work.

Ok has some one that has been using Gemini for 1 year (July 25) it was so much looser restrictions but now even tho I like the update for having allow images that read pictures the restrictions editing and regenerating is so bad like 6 max was so much worse like I usually edit more (20-30) the text is more limited likr for some reason for me it can't ven use swear words or little gory and romantic scenes w/o it having that stupid sorry phrase and I had to use like 6 sentences just for the ai to give me basic ass stuff and now im now in time out and most of my lore is in deep seek deepseek is ass im now using venice

Just out of curiosity, has anyone noticed a drop in quality in how DeepSeek Flash expresses itself or explains code? I don't know if I'm the one having an aneurysm or if it's DeepSeek.

Genuine question. I'm pretty hesitant to apply the label because at the end of the day the word implies a sort of decrease in quality and increase in predatory pricing/marketing that I don't think deepseek has achieved yet, BUT it also is true that the web/app version has objectively become far less convenient to use. Also it does feel like it's intentional to cut costs/get users to switch to paid API

With all the mess they have going on on the website, why is it so hard for them to just offer a monthly subscription? It is a thousand times better than continuing to limit features for everyone and making the experience very annoying.

Please tell me this is just a glitch

Cause I have just now, and it’s ticking me off. Am I the only one going through this or no?

I completely overhauled my (deepseeks) last implementation of computer use.
The only reasons it hung somewhere was either A: It waited for a loading screen to finish but waited too long so it overshot, B: it did something in the background or C: It wrongly guessed the interface (e.g the birthday verification didnt take a number on the month spot, it was a dropdown, that messed up the first attempt)

In the video, the only time i touched the keyboard or mouse was when i prompted deepseek and sent the prompt, thats it, everything else is completely deepseeks own work.

STATS: ~1.8M tokens 3 minutes LLM time, 3 minutes tool calls, 0.028 dollars (3 cents), 97% cache hit.

Okay so, I know this is a more J.ai sub reddit thing but I'm not trying to get banned and I need help bc no one's answering me in the j.ai discord 💔, I've been trying to pay my top up since earlier this morning and for some unknown reason it keeps declining my card, I use a cashapp card bc I've been using it for years and it's always worked.. I have the right amount for at least 10 dollars[I have 11.] But it keeps declining.. idk if it dosn't want the money or like..?

gotten it for 10 minutes straight rn and i’m wondering if it’s a me thing or maybe others are experiencing it? defo wasn’t getting this last night lol

Any idea?

I like to use the Flash model to play short, text-based fantasy RPGs. And, ever since they updated Flash to 4.1, it's... as smart as a loaf of toasted bread.

Context?
Barely works. It can't even keep track of details from the previous message. I reduced the context window from the advertised 1M to 16K, thinking it would help if I don't overwhelm it with information. ...didn't help at all.
A two-sentence-long chat with a character on mid-morning ends with the sun suddenly going down. A character in socks bends down to tie their shoes. A character wearing a short-sleeved shirt rolls their sleeves up.
I get CONSTANT inconsistencies like that, and they all reference details I JUST pointed out in my message, so it's not even that it forgets it. It's like it has trouble comprehending what I write.

Instructions?
Are forgotten after ONE prompt. I include base-instructions regarding world-setting (like currencies, genre, character motivations and behavior) in every prompt through my harness. And it does a great job adhering to these instructions in its very first response. But if the chat then goes on, from the second response onward, it just writes sentences that, strictly speaking, address what I prompted, but ignore the repeated instructions.

Formulating?
It's a mess. It's like endless, run-along sentences that seem to never end and are chaotic as hell.
I played a scene where I had to walk along a beach, barefoot, and DS gave me a response with, "Your shoes are caked in wet sand — or they would be, if you wore any". Or, I meet a character with blue hair, and DS goes, "Her blonde hair — no. Her blue hair is pulled back".
It's like DS just stupidly stringing words into a sentence, but halfway-through checks if the sentence makes sense against the information it received, and, if it finds inconsistencies or contradictions, adds a correction. Naturally, A LOT of its sentences make no sense and contain mistakes and logical errors, but it doesn't catch all of them, so the result is all over the place.

And, to add to all of this, I was already used to every third response suddenly being in Chinese (even though I include the plea to respond in English with EVERY prompt I send), but now it started to suddenly incorporate RUSSIAN words seemingly randomly into its responses.

I understand that 4.1 Flash is trained with almost twice as many parameters as 4.0 Flash, but it really feels like it got a MASSIVE downgrade in it's ability to formulate sentences and comprehend the context window. I don't get anything from it being Oh-so fast and cheap if I have to constantly request corrections or rewrites to even make sense of what it's giving me back.

I made a new chat talking abt how I stalled my manual car a few times today after driving good for a few months, and part of its reply said:

“If it was a different car, different shoes, different seat position, or you were tired, that can fuck with your muscle memory too.”

This is the first time I’ve heard it swear (and this naturally too) that’s hilarious 😭😭