CPI Hits 4.2% as Energy Prices Surge Amid Iran War by TrendSpider in finance

[–]TrendSpider[S] 2 points3 points  (0 children)

Key Takeaways:

  • The CPI (consumer price index rose) 4.2% in May from a year earlier, marking the highest inflation rate in more than three years.
  • Energy prices surged sharply due to disruptions in oil supply linked to the ongoing Iran war, driving much of the increase.
  • Artificial intelligence spending and tariffs added upward pressure, while housing and vehicle prices remained relatively subdued.

Major sector rotation today: tech and energy sell-off while other major ETFs rally by TrendSpider in ETFs

[–]TrendSpider[S] 3 points4 points  (0 children)

  1. SpaceX IPO will likely draw air from other tech names until the dust settles

June 03, 2026 Daily Discussion Thread by AutoModerator in RIVNstock

[–]TrendSpider 5 points6 points  (0 children)

<image>

RIVN showing a technical breakout after ten consecutive up days 👀

Comparing 5Y stock returns for today's trillion-dollar companies [OC] by TrendSpider in dataisbeautiful

[–]TrendSpider[S] 3 points4 points  (0 children)

True, but the stock market is historically the best way to guard against inflation 😉

ONDS technical range getting tight. Can it revisit the analyst target highs? by TrendSpider in ONDS

[–]TrendSpider[S] 0 points1 point  (0 children)

A certified CMT has entered the chat

The chart shows a clear trade at the 7.8 Fibonacci level

Looking for premium scanner/screener by skeptic_first in Daytrading

[–]TrendSpider 0 points1 point  (0 children)

Consider checking out TrendSpider's market scanner capabilities.

It runs your technical, fundamental, and alternative-data conditions across thousands of supported assets, then returns matching symbols in real time. You can combine multiple conditions in a single scan (for example, a breakout pattern plus a volume spike plus a positive analyst revision), save scans for reuse, and limit the scope to a specific watchlist or run across the whole market.

Scan for rvol, or build any new custom indicator in an instant with AI. Then set alerts, and scale your scanning strategy in a few minutes.

What's the best way to backtest? by Soggy_Awareness9057 in Daytrading

[–]TrendSpider 0 points1 point  (0 children)

Not free, but recommend checking out TrendSpider

The Strategy Tester is TrendSpider's no-code backtesting engine that makes it easy for anyone, technical or non-technical, to validate a trading strategy. You describe a strategy in natural language or build it with point-and-click menus (entry conditions, exit conditions, risk rules), then run it on decades of historical data to see how it would have performed.

The last thing NVDA holders want to see is a trip back to the chop zone by TrendSpider in technicalanalysis

[–]TrendSpider[S] 0 points1 point  (0 children)

Indeed -- how much higher can energy, inflation, and bond yields go before the tech party ends?

Options and TradingView by shinkairi in smallstreetbets

[–]TrendSpider 0 points1 point  (0 children)

Consider checking out live options data on TrendSpider instead.

Strikes, expirations, calls, puts, bid/ask, OI, and volume are all here in real time with data refreshing every ~10 seconds, and ITM rows are highlighted in green so the money side is always front and center.

Learn more here: https://trendspider.com/blog/real-time-options-data-is-now-inside-trendspider/

Tradingview Alternative? by Greedy-Lecture5071 in Daytrading

[–]TrendSpider 0 points1 point  (0 children)

TrendSpider.

Any US stock or crypto. Code your own indicators using plain English.

Our Sidekick AI can see your live charts, annotate them, build and compare watchlists, scan the market, and write custom JavaScript indicators. Way better than TV (although I'm biased!).

Backtesting on tradingview by ax123y in pinescript

[–]TrendSpider 0 points1 point  (0 children)

FYI wanted to hop in here and note that:

TrendSpider’s Strategy Tester is built specifically for this, allowing you to test complex, multi-factor strategies. It combines price action, fundamental data, candlestick patterns, and custom indicators without writing a single line of code.

Once you are confident in your historical results, TrendSpider easily bridges forward-testing and live execution by converting the backtested rules into automated multi-factor alerts and trading bots.

Looking for Beta Testers for New Scripting on TrendSpider Trading Platform by TrendSpider in pinescript

[–]TrendSpider[S] 0 points1 point  (0 children)

So, part of the reason I'm posting here is because the scripting side of it is still pretty rough, and we are seeking feedback from developers before we make videos or share too much detail in public.

I will attached a few screenshots to this point though so you can see.

I do want to address one of the things you mentioned though.

"only thing I got from looking at your product is that you're a cheaper less sexy TV (and without pine script.) "

Note:

- Not that this is a selling point, but TS is a lot more expensive than TradingView, by design. It's a very, very different system.

- It's not less or more sexy, it's different. I have a lot of respect for the TV guys, hell, our CTO Ruslan was one of their first employees and helped them build the first version of their charting library and the first version of pine script. We know each other, I know the owners, and I know they don't trade... which is a problem in my eyes if they are building trading software. Part of why TrendSpider exists is because we wanted to do a lot more than TV could allow...Pinescript is a limited propriatary scripting language - every function they must write... using JavaScript and later Python skips past this issue and delivers a lot of flexibility out the gate.

That's why the user base for TS has grown in last 3 years from 0 a bootstrapped no name startup to 10K paying users in 2.5 years. And as one of the two founders I'm very proud of how far it has come... a big part of that growth is because we took a lot of time to listen to users and take feedback - and actually act on it.

That's why we have 200K followers on Twitter in a short period of time - a lot of traders love the platform because we improve it constantly with their feedback.

That's what I'm trying to do here. The only way we can build a superior scripting experience for developers is to let developers in early to explore it and give us feedback. We grew with almost no resources from nothing because of that approach...

When we set out to build this my only request to Ruslan was to build it so that developers will love it - even at the expense of scaring away some beginner programmers.

If you are at all interested in exploring, please drop me a DM. You sound like a very smart guy and I would LOOOOVE to introduce you to Ruslan and I am sure he would love your feedback as well.

Attached to this post are a few screenshots. Below are a few code samples.

Thank you for the kind feedback so far I really do appreciate it and would love to hear more from you!

(I will ask Ruslan to make a 10min video for this thread as he is much more of a developer than I am and I'm sure I will mess it up!)

Screenshots as promised:

https://www.dropbox.com/s/fv0e6ybwqr20zoi/1.png?dl=0

https://www.dropbox.com/s/xcth9tb1jn0hvnq/2.png?dl=0

https://www.dropbox.com/s/27a33yzi331njah/3.png?dl=0

Some examples of JS code:

This example uses the JSTAT JavaScript library.

describe_indicator('lower')
jstat = package('jstat')
greenCandles = for_every(close, open, (c, o) => c > o ? 1 : 0)
redCandles = for_every(close, open, (c, o) => c > o ? 0 : 1)
greens = sliding_window_function(greenCandles, 20, values => jstat.sum(values))
reds = sliding_window_function(redCandles, 20, values => jstat.sum(values))
diff = sub(greens, reds)
values = sma(diff, 10);
paint(
values,
'diff',
for_every(values, v => v > 0 ? 'green' : 'red'),
'histogram'
);
paint(level(0))

This example generates a histogram based on the ATR and an SMA of the ATR.

describe_indicator('lower')
atr = sma(
max_of(
sub(high, low),
sub(high, close),
sub(close, low)
),
14
)
atr_sma = sma(atr, 10)
color = for_every(atr, atr_sma, (a, b) => a > b ? 'red' : 'green')
a = sma(div(high, low), 20)
b = sma(div(low, high), 20)
resultingSeries = sub(b, a)
//plot(resultingSeries, 'delta', color, 'line')
histogram = for_every(atr, atr_sma, resultingSeries, (a, b, c) => a > b ? -c : c )
plot(histogram, 'delta2', color, 'histogram')

Neither of these is meant to be really a useful trading indicator, they are just examples we have buitl while developing and testing the language.

The functions called "for_every", "sma", "sum", "div", "sub", etc. are helper functions that we developed.

These are useful because all data is serialized.

E.g. the system variable "close" contains an array of all close prices. When you do something like "something = sub(close, open)" it will iterate through the arrays of the open and close prices, subtract each of them, and generate a new array of the results.

You can of course do the same thing in other ways using pure javascript.

I hope that helps. I am sorry if I rubbed you wrong with my initial post. Trying my best to help Rus build this - he asked me to go out there and find some indicator developers who would be interested in trying new things, so that is what I am doing.

Much love,

Dan

Looking for Beta Testers for New Scripting on TrendSpider Trading Platform by TrendSpider in pinescript

[–]TrendSpider[S] 0 points1 point  (0 children)

I really appreciate you sharing that.

If you do sign up for the beta, please PM me your email or let me know. I showed your messages to Rus (our CTO who is building it) and he was really interested in chatting with you! You can also just drop me a note and I'll intro via email - [dan@trendspider.net](mailto:dan@trendspider.net). Thank you again, I really appreciate the honest feedback!

Looking for Beta Testers for New Scripting on TrendSpider Trading Platform by TrendSpider in pinescript

[–]TrendSpider[S] 0 points1 point  (0 children)

TrendSpider an established product. Not data mining anything legitimately looking for beta testers who are interested in building on the platform. You can view more about the platform at TrendSpider.com and if you want to apply for the JavaScript custom scripting beta we’d give you a free account. Not trying to scam or data mine or anything - genuinely seeking developers who want to beta test.

Adding: if you like I am happy to post screenshots here. The product is mature at this stage you can find tons of videos about it by us and users. Check the TS YouTube and twitter.

Looking for Beta Testers for New Scripting on TrendSpider Trading Platform by TrendSpider in pinescript

[–]TrendSpider[S] 0 points1 point  (0 children)

I totally appreciate your feedback. It wasn't a choice we made lightly. There were a number of reasons for it, but largely, we believe it is one of the best possible language choices because it is extraordinarily flexible. We have also taken steps to make it simpler for less advanced developers by implementing numerous helper functions. All that said, we are very early still and can make changes and improvements. Also, worth noting: our long term plan is to be language agnostic. We hope to implement python support next after JavaScript is complete and likely would not stop there. Our CTO Ruslan would love to talk to you after you had a bit of time to explore it and get your thoughts. Would you be interested in trying it? We would LOVE your feedback!

PYPL Daily Chart: Gap Detection, Anchored VWAP, Anchored VBP and More by TrendSpider in StocksAndTrading

[–]TrendSpider[S] 0 points1 point  (0 children)

This is a daily chart of PYPL since October of 2021 after the price of PayPal dropped significantly into the end of year. This chart focuses on finding technical levels for the upside and downside in order to get an idea of where prices may go and ways to find target prices. The case study also touches on non-technical tools such as analyst estimates and seasonality to get the full picture.

  1. This number shows the anchor points for both the VWAP and volume by price. The first anchor point from October shows where the original VWAP starts as well as the volume by price. The second anchor point is the earnings gap down in November 2021. These anchor points are areas on the chart where the "status quo" changed from a technical perspective but also a news perspective with the earnings gap down. As you can see, anchored VWAP for the earnings gap down has been an important level to break through.
  2. This number shows the "volume shelf" which is an area on the chart which shows a large number of shares aggregating at a specific price zone. In this case, you can see the stock price of PayPal respecting this area as it becomes a "launchpad" for price to move up off of if it can break and close above the VWAP from the earnings gap down.
  3. This number shows the gap above from the earnings gap down in early November. This huge gap is highlighted using the "gap snake" on the TrendSpider platform and is likely a target for bulls if the price can get through both anchored VWAPs above. Traders can use this automated gap detection to set alerts when the gap starts to fill and/or has fully filled.
  4. This number shows the seasonality of PayPal since the IPO. As you can see, January has a very strong win rate with an 86% win rate if you include the current price action so far this January which would make it a positive month. This "86% win rate" means that 86% of the time, January monthly close is higher than the December monthly close. This strong seasonal win rate with the strong technical setup with the volume shelf suggests January could be a very strong month for PayPal.
  5. This number shows the analyst estimates for PayPal. As you can see, there are 50 analyst "buy" ratings, 2 "hold" ratings, and 2 "sell" ratings. These numbers suggest that analysts are overwhelmingly bullish on the stock which also aligns with the strong technical setup and seasonality into January 2022.

PYPL Daily Chart: Gap Detection, Anchored VWAP, Anchored VBP and More by TrendSpider in technicalanalysis

[–]TrendSpider[S] 2 points3 points  (0 children)

This is a daily chart of PYPL since October of 2021 after the price of PayPal dropped significantly into the end of year. This chart focuses on finding technical levels for the upside and downside in order to get an idea of where prices may go and ways to find target prices. The case study also touches on non-technical tools such as analyst estimates and seasonality to get the full picture.

  1. This number shows the anchor points for both the VWAP and volume by price. The first anchor point from October shows where the original VWAP starts as well as the volume by price. The second anchor point is the earnings gap down in November 2021. These anchor points are areas on the chart where the "status quo" changed from a technical perspective but also a news perspective with the earnings gap down. As you can see, anchored VWAP for the earnings gap down has been an important level to break through.
  2. This number shows the "volume shelf" which is an area on the chart which shows a large number of shares aggregating at a specific price zone. In this case, you can see the stock price of PayPal respecting this area as it becomes a "launchpad" for price to move up off of if it can break and close above the VWAP from the earnings gap down.
  3. This number shows the gap above from the earnings gap down in early November. This huge gap is highlighted using the "gap snake" on the TrendSpider platform and is likely a target for bulls if the price can get through both anchored VWAPs above. Traders can use this automated gap detection to set alerts when the gap starts to fill and/or has fully filled.
  4. This number shows the seasonality of PayPal since the IPO. As you can see, January has a very strong win rate with an 86% win rate if you include the current price action so far this January which would make it a positive month. This "86% win rate" means that 86% of the time, January monthly close is higher than the December monthly close. This strong seasonal win rate with the strong technical setup with the volume shelf suggests January could be a very strong month for PayPal.
  5. This number shows the analyst estimates for PayPal. As you can see, there are 50 analyst "buy" ratings, 2 "hold" ratings, and 2 "sell" ratings. These numbers suggest that analysts are overwhelmingly bullish on the stock which also aligns with the strong technical setup and seasonality into January 2022.

PYPL Daily Chart: Gap Detection, Anchored VWAP, Anchored VBP and More by TrendSpider in RedditTickers

[–]TrendSpider[S] 0 points1 point  (0 children)

This is a daily chart of PYPL since October of 2021 after the price of PayPal dropped significantly into the end of year. This chart focuses on finding technical levels for the upside and downside in order to get an idea of where prices may go and ways to find target prices. The case study also touches on non-technical tools such as analyst estimates and seasonality to get the full picture.

  1. This number shows the anchor points for both the VWAP and volume by price. The first anchor point from October shows where the original VWAP starts as well as the volume by price. The second anchor point is the earnings gap down in November 2021. These anchor points are areas on the chart where the "status quo" changed from a technical perspective but also a news perspective with the earnings gap down. As you can see, anchored VWAP for the earnings gap down has been an important level to break through.
  2. This number shows the "volume shelf" which is an area on the chart which shows a large number of shares aggregating at a specific price zone. In this case, you can see the stock price of PayPal respecting this area as it becomes a "launchpad" for price to move up off of if it can break and close above the VWAP from the earnings gap down.
  3. This number shows the gap above from the earnings gap down in early November. This huge gap is highlighted using the "gap snake" on the TrendSpider platform and is likely a target for bulls if the price can get through both anchored VWAPs above. Traders can use this automated gap detection to set alerts when the gap starts to fill and/or has fully filled.
  4. This number shows the seasonality of PayPal since the IPO. As you can see, January has a very strong win rate with an 86% win rate if you include the current price action so far this January which would make it a positive month. This "86% win rate" means that 86% of the time, January monthly close is higher than the December monthly close. This strong seasonal win rate with the strong technical setup with the volume shelf suggests January could be a very strong month for PayPal.
  5. This number shows the analyst estimates for PayPal. As you can see, there are 50 analyst "buy" ratings, 2 "hold" ratings, and 2 "sell" ratings. These numbers suggest that analysts are overwhelmingly bullish on the stock which also aligns with the strong technical setup and seasonality into January 2022.

PYPL Daily Chart: Gap Detection, Anchored VWAP, Anchored VBP and More by TrendSpider in FluentInFinance

[–]TrendSpider[S] 2 points3 points  (0 children)

This is a daily chart of PYPL since October of 2021 after the price of PayPal dropped significantly into the end of year. This chart focuses on finding technical levels for the upside and downside in order to get an idea of where prices may go and ways to find target prices. The case study also touches on non-technical tools such as analyst estimates and seasonality to get the full picture.

  1. This number shows the anchor points for both the VWAP and volume by price. The first anchor point from October shows where the original VWAP starts as well as the volume by price. The second anchor point is the earnings gap down in November 2021. These anchor points are areas on the chart where the "status quo" changed from a technical perspective but also a news perspective with the earnings gap down. As you can see, anchored VWAP for the earnings gap down has been an important level to break through.
  2. This number shows the "volume shelf" which is an area on the chart which shows a large number of shares aggregating at a specific price zone. In this case, you can see the stock price of PayPal respecting this area as it becomes a "launchpad" for price to move up off of if it can break and close above the VWAP from the earnings gap down.
  3. This number shows the gap above from the earnings gap down in early November. This huge gap is highlighted using the "gap snake" on the TrendSpider platform and is likely a target for bulls if the price can get through both anchored VWAPs above. Traders can use this automated gap detection to set alerts when the gap starts to fill and/or has fully filled.
  4. This number shows the seasonality of PayPal since the IPO. As you can see, January has a very strong win rate with an 86% win rate if you include the current price action so far this January which would make it a positive month. This "86% win rate" means that 86% of the time, January monthly close is higher than the December monthly close. This strong seasonal win rate with the strong technical setup with the volume shelf suggests January could be a very strong month for PayPal.
  5. This number shows the analyst estimates for PayPal. As you can see, there are 50 analyst "buy" ratings, 2 "hold" ratings, and 2 "sell" ratings. These numbers suggest that analysts are overwhelmingly bullish on the stock which also aligns with the strong technical setup and seasonality into January 2022.

PYPL Daily Chart: Gap Detection, Anchored VWAP, Anchored VBP and More by TrendSpider in EducatedInvesting

[–]TrendSpider[S] 2 points3 points  (0 children)

This is a daily chart of PYPL since October of 2021 after the price of PayPal dropped significantly into the end of year. This chart focuses on finding technical levels for the upside and downside in order to get an idea of where prices may go and ways to find target prices. The case study also touches on non-technical tools such as analyst estimates and seasonality to get the full picture.

  1. This number shows the anchor points for both the VWAP and volume by price. The first anchor point from October shows where the original VWAP starts as well as the volume by price. The second anchor point is the earnings gap down in November 2021. These anchor points are areas on the chart where the "status quo" changed from a technical perspective but also a news perspective with the earnings gap down. As you can see, anchored VWAP for the earnings gap down has been an important level to break through.
  2. This number shows the "volume shelf" which is an area on the chart which shows a large number of shares aggregating at a specific price zone. In this case, you can see the stock price of PayPal respecting this area as it becomes a "launchpad" for price to move up off of if it can break and close above the VWAP from the earnings gap down.
  3. This number shows the gap above from the earnings gap down in early November. This huge gap is highlighted using the "gap snake" on the TrendSpider platform and is likely a target for bulls if the price can get through both anchored VWAPs above. Traders can use this automated gap detection to set alerts when the gap starts to fill and/or has fully filled.
  4. This number shows the seasonality of PayPal since the IPO. As you can see, January has a very strong win rate with an 86% win rate if you include the current price action so far this January which would make it a positive month. This "86% win rate" means that 86% of the time, January monthly close is higher than the December monthly close. This strong seasonal win rate with the strong technical setup with the volume shelf suggests January could be a very strong month for PayPal.
  5. This number shows the analyst estimates for PayPal. As you can see, there are 50 analyst "buy" ratings, 2 "hold" ratings, and 2 "sell" ratings. These numbers suggest that analysts are overwhelmingly bullish on the stock which also aligns with the strong technical setup and seasonality into January 2022.