TradingView vs TrendSpider vs Stock Rover: which one a swing trader actually needs

2026-07-31 · Yusuf Gadelrab

Affiliate disclosure Some links on this page are affiliate links. If you sign up through one, I may earn a commission at no extra cost to you. I only link tools I have actually used, the price you pay is the same either way, and no company paid for or reviewed this article before it went up. Where I think the free option is better, I say so and I do not link the paid one. Terms · Privacy
Not financial advice I am a computer science student who builds trading software, not a financial adviser. Nothing here is a recommendation to buy or sell any security. Trading involves risk of loss, including total loss. No performance figure on this page is a solicitation, and any research result I cite is linked to its own write-up so you can check the method yourself.

I wrote my own screener before I paid for anyone else's. That is the only reason this comparison is worth reading: I know exactly which parts of these products are doing real work and which parts are a chart with a subscription attached.

The setup, so you can weight my opinion properly. I am a CS student who builds trading software: a Python swing screener, a paper-trading engine that runs itself on a schedule, and a walk-forward research harness I use to kill my own ideas. I have published the results that went against me, including a setup family I ruled out entirely after testing it on a decade of data. Details are in the write-up of what walk-forward testing did to my strategies.

So when I say a tool is not the edge, I am not being humble. I measured it.

The one thing that decides this for you

These three products get lumped together in every "best trading tools" list, and they are not competitors. They solve three different problems. Pick by which sentence below is actually your problem this month:

If two of those sentences are true at once, you have a sequencing problem, not a software problem. Fix the second one first. A beautiful chart of a setup you never validated is an expensive way to lose money slowly.

 TradingViewTrendSpiderStock Rover
Really isA charting platform with a scripting language and a social layerAn automated technical analysis and backtesting engineA fundamental plus technical screener with deep historical financials
Best atSeeing price. Drawing on it. Alerts that fire reliablyTesting a rule set without writing code, then alerting on itFinding candidates you would never have typed into a search box
Weak atRigorous strategy validation. Pine backtests flatter youBeing your daily chart. The interface fights you at firstIntraday. It is not a trading terminal and does not pretend to be
Free tierYes, genuinely usable, ad-supported, limited indicators per chartTrial, not a free tierYes, limited screener and history depth
Skip it ifYou already live in your broker's charts and they are fineYou can write Python. Then write PythonYou trade pure price action and never look at a balance sheet

TradingView: the default, and mostly deserved

I use TradingView every day and I would still use it if it had no affiliate program, which is the only test that matters for a recommendation.

What earns the money is not the charts, it is the alert infrastructure. An alert on an anchored VWAP reclaim that fires whether or not my laptop is open is the difference between a plan and a hope. The drawing tools sync across devices. The data is clean enough that when something looks wrong, it is usually me.

The honest warning: Pine Script backtests are not evidence. The strategy tester defaults are generous, repainting is easy to do by accident, and it will happily show you a curve that cannot survive contact with slippage and commissions. I have seen a rule look wonderful in Pine and then die the moment I re-tested it out of sample with realistic fills. Use Pine to see an idea. Use something else to judge it.

The free tier is real. Start there. You will know within two weeks whether the paid alert count is a constraint on you, and if it is not, do not upgrade.

TrendSpider: buy it for the backtester, not the charts

The pitch is automated technical analysis, which sounds like marketing. The part that is not marketing is that you can express a multi-condition rule set, run it across a universe and a long history, and get results without writing a line of code.

That matters because the single most expensive thing a retail trader does is trade a rule nobody ever tested. When I finally built a proper walk-forward harness, most of what I believed did not survive. One setup family came out clearly negative on a decade of daily data and I stopped trading it. That result was worth more to me than any winning strategy, because it stopped a leak.

If you can write Python, you do not need TrendSpider. Write the harness. You will understand your own assumptions better and it costs nothing but time. If you cannot, or you would rather spend that time on the market than on pandas, this is the cheapest honest way to find out that your rule does not work.

The right reaction to a backtest that kills your favorite setup is relief. You just got paid to not lose that money.

Stock Rover: the one people skip and shouldn't

Charting tools answer "what is this stock doing." Screeners answer "which stocks should I be looking at at all," and that second question is where most people never look, because it feels less like trading.

Stock Rover goes deep on fundamentals and historical financials in a way the chart-first platforms do not. For a swing trader, the use is not value investing, it is filtering. Momentum in a company with deteriorating fundamentals behaves differently than momentum in one that is compounding, and having that in the same screen as your technical filter takes about ten minutes to set up.

Its free tier is enough to decide. If your entire process is price and volume on a daily chart, skip it honestly, you will not use it.

What none of these fix

Position sizing. Every one of these will show you a great-looking setup and none of them will stop you from putting 9% of your account into it because 200 shares looked like a rounder number than 187.

That is why the first tool I built for myself was not a screener, it was a position size calculator that refuses to round up. It is free, it needs no signup, and it lives at risk-tools. I wrote about why the rounding habit is so expensive separately.

The other thing none of them fix is process. I keep a journal in R multiples in a free offline app I built called TradeLog. Your data never leaves your phone because there is no server to send it to. The point of journaling in R rather than dollars is that it makes a $40 loss and a $400 loss comparable, which is the only way to ever see whether you have an edge or a lucky quarter.

What I would actually do with $0, then $30/month

Month one, spend nothing: TradingView free, Stock Rover free, and my free position sizer. Trade small and journal every entry in R.

Month two, if and only if the free alert limit is the thing blocking you: pay for TradingView. That is the upgrade with the clearest link to an actual behavior.

Month three, only if you now have a written rule set you have not validated: get a backtester, TrendSpider or your own Python. Do not skip to this step. A backtest of a rule you invented last night is a random number generator with a chart.

Where my numbers are

I am not going to post a return figure on a web page. What I will do is point at the research: my walk-forward work found exactly one setup that held up under out-of-sample testing, and even that one has an honest caveat I published alongside it, which is that a risk-matched random entry captures a large share of the same result. That is the sort of thing tool marketing never tells you, and it is the reason I trust the process more than I trust any screenshot.

The full method and the parts that failed are in the swing screener write-up.

Built by one CS student in San Jose.

Free tools, three installable offline apps, and two SIGCSE 2026 papers. See the work or read the facts. Open to Summer 2027 software engineering, AI/ML, and quant internships.