In a previous article, I showed you how to create a fully automated 50-200 moving average crossover trading strategy, without coding.

Now I’m going to show you the backtesting results of that strategy for every market that I’ve tested.

I’ll show you both the good and bad.

You have to backtest this strategy yourself to make sure that you’re comfortable with it and that it actually works with your broker.

Even if a strategy doesn’t work well, you can test ideas on how to improve it and make it much more profitable.

Now let’s move on to the trading plan and the results for each market.

Remember: This is only a starting point for YOUR trading strategies. This is for informational purposes only and the results below will not guarantee successful trading. 

As I backtest new markets, I’ll add the results to this page.

Bookmark this page and check back periodically if you want to get future updates.

The 50-200 Crossover Strategy Trading Plan

Here are the rules for this plan:

• Buy
  • Buy when the 50 SMA crosses above the 200 SMA
  • Stop Loss at last swing low
  • Risk 1% per trade
  • Take profit a 1R (1 times risk)
• Sell
  • Buy when the 50 SMA crosses below the 200 SMA
  • Stop Loss at last swing high
  • Risk 1% per trade
  • Take profit a 1R (1 times risk)

Be sure to read the full 50-200 Moving Average Crossover automated strategy tutorial to learn how I did these backtests in just a few minutes, without coding.

Backtests

EURUSD

Weekly Chart

On this timeframe, there isn’t enough data to pursue this strategy.

With only 10 trades, you simply won’t get enough trades to make this viable.

Daily Chart

This actually looks pretty good.

True…the return is very low, but the max drawdown is also low and the strategy stayed profitable throughout the entire test.

So this could be a good strategy to optimize, or trade in multiple markets, assuming that the results are favorable in those markets too.

No guarantees obviously, further testing would have to be done.

4-Hour Chart

This strategy was profitable for most of the testing period, so this could be a good timeframe to start experimenting with.

Yes, the return was breakeven.

But the graph is more promising than most of the others on this list.

It executed 209 trades, which is decent.

If this works in other markets, then the combined return could produce a significant return.

Again, backtest this for yourself.

This is only meant to be a starting point.

1-Hour Chart

The return on this strategy was breakeven, so there is potential to possibly optimize this timeframe.

On the upside, the strategy did execute quite a few trades.

30-Minute Chart

The results on this timeframe are not worth examining further, at least with this version of the strategy.

5-Minute Chart

The results are terrible on the 5-minute chart, so no further analysis is necessary.

AUDUSD

Weekly Chart

Not enough trades here to start using this timeframe.

Daily Chart

This could be tweaked because the results are breakeven. The biggest issue is that there aren’t very many trades, so I wouldn’t pursue this one.

4-Hour Chart

Another breakeven result, so it might be something worth tweaking.

1-Hour Chart

Breakeven again. Maybe it’s worth a few tweaks, but I wouldn’t spend a lot of time on it.

30-Minute Chart

Pretty terrible results, so probably not worth messing with. Move on.

5-Minute Chart

Just like with the EURUSD, the 5-minute chart is completely useless, so this is not worth exploring.

It pretty much blew out the account.

Notes and Observations About this Strategy

So far, the lower timeframes are showing much worse results.

Therefore, it might be better to stick to the daily and 4-hour charts.

Also, the stop loss on this strategy may not be ideal.

Sometimes the stop ends up being too far away and it takes awhile for price to hit the target.

More testing and optimization would have to be done.

Learn how to build and tweak this strategy and test your own ideas and you might come out with better results than me.

Conclusion

So that’s how this strategy stacks up in all of those markets.

I’ll be adding new backtests as I do them, so be sure to bookmark this page and check back periodically to see if I have any new markets.

Remember that you should always backtest a strategy for yourself. 

Never rely on the results of others, including me. 

To learn exactly how I created an automated program to do the backtests above, WITHOUT coding, read this tutorial.

A wave of anecdotes from industry figures and onlookers has pushed XRP into everyday talk in some circles, but the picture is mixed.

Related Reading

According to a recent podcast episode featuring several crypto commentators, guests flagged “mania signals” as a way to spot when an asset is going mainstream.

Some guests said they are now hearing XRP mentioned in casual settings, while others point to counterexamples that suggest the trend is not universal.

Uber Drivers Talk Crypto

Based on reports from the Unchained podcast and social posts, one guest said they had taken multiple Uber rides where drivers were trading XRP.

That comment was later amplified on social media, with others sharing similar encounters.

Reports have disclosed that another well-known community figure said Uber drivers in Nevada and Michigan even recognized him as “that XRP lawyer guy” after his advocacy in the Ripple–SEC case. Those anecdotes add color to claims of growing retail chatter.

I’ve had 2 different Uber drivers in 2 different states (Nevada & Michigan) bring up XRP to me during the last 3 months.

They said: “You look familiar” and “I know you.”

I replied: “I ran for U.S. Senate against Elizabeth Warren.”

Both quickly responded: “No that’s not it -… https://t.co/hsmppCsXRt

— John E Deaton (@JohnEDeaton1) August 14, 2025

Small Survey Finds Little Uptake

A separate, small experiment tested the idea directly. A commentator took 25 Uber rides in Ontario and asked each driver whether they held XRP.

Most drivers were confused or said they did not own any crypto. One driver reported holding XRP, having bought at $1.67, and said they planned to hold long-term.

Based on that sample, the experiment’s author concluded that the “Uber driver” story is overstated, or that early buyers may have already cashed out.

Retail Buzz Versus Real Adoption

Analysts differ on what these encounters mean. According to a Bloomberg ETF analyst cited in reports, institutional demand for a possible XRP ETF may start modest while retail interest could be greater.

Other researchers in the community argue that institutions might be quietly building positions even if many retail investors remain unaware.

Both lines of argument can be true at once: pockets of strong recognition can exist while broad adoption lags behind.

Interesting, trades reporting how Polymarket odds of XRP ETF approval went down to 62% after the votes were disclosed showing Crenshaw voting no, but a) she’s gonna vote no on EVERYTHING and b) it’s meaningless, she’s outnumbered = we haven’t changed our odds, still at 95%. https://t.co/TamMn8DHVh pic.twitter.com/Ip9G748HrU

— Eric Balchunas (@EricBalchunas) August 7, 2025

Anecdotes Need Hard Data

What matters next is measurable breadth. Watchers say to track search trends, wallet activity, and consistent reports from many cities rather than isolated meetings.

Related Reading

If mentions of XRP keep appearing across unrelated places, that would be stronger evidence. For now, though, the mix of big-signal stories and low-hit surveys means the claim of wide mainstream recognition is still unproven.

These first-hand accounts are compelling because they are simple and human. They make a tidy headline and spark debate online.

Reports so far say they are not yet a substitute for consistent, verifiable data. Some people are clearly talking about XRP in daily life. But the jury is still out on whether that talk has crossed into broad mainstream awareness.

Featured image from Unsplash, chart from TradingView

On April 17, 2025 we opened a Dev Fund Poll of the Zcash Community Advisory Panel (ZCAP) to determine which of the funding proposals have the most support, or if the Dev Fund should end and 100% of the block rewards should go to miners. Additionally the poll surveyed community members about prioritizing an extension of the Dev Fund and implementation of a new funding model, even if it requires postponing NU7. 

128 ZCAP voters participated in this poll, representing 64% of the total number of members. The results appear below.

Q1: Which of the following funding proposals do you support? You can select more than one proposal.

• Community and Coinholder Funding Model (C&C) (84 votes/32.3%)
• Community-Governed Funding Model (41votes/15.8%)
• Pure Coinholder Funding Model (28 votes/10.8%)
• Pure ZCAP Funding Model (39 votes/15.0%)
• Zcash Governance Bloc (zBloc) (44 votes/16.9%)
• The Dev Fund should end and 100% of the block reward should go to miners. (24 votes/9.2%)

Note: This question allowed for multiple selections, therefore the percentages above represent the total number of votes for each option, based on a total of 260 selections made across all options. 

Q2: Do you support prioritizing the extension of the Dev Fund and the implementation of a new funding model, even if it requires postponing NU7?

• Yes (66 votes/51.6%)
• No (43 votes/33.6%)
• Abstain (19 votes/14.8%)

Based on these results we can conclude that the Community and Coinholder Funding Model (C&C) has the greatest level of support and that an extension of the Dev Fund and implementation of a new funding model is ZCAP’s recommended path forward. The outcomes of this poll will be considered along with the ZAC and coin holder polls to determine if there is community consensus. 

We would like to express our gratitude to everyone who contributed to this process. Thank you to those who drafted proposals, engaged in discussions and debates on the Zcash community forum, across social media, and during community calls. Additionally, we appreciate those who organized alternative community polls and are grateful to everyone who took the time to vote.

In brief: As the dominant gateway to online information, Google’s search engine has shaped how people access and discover content. However, search results sometimes expose personal data, raising privacy concerns. A recent update introduces a tool that gives users more control over what appears in search results.

Google updated a search engine tool called “Results About You” that it initially rolled out in 2022. Developers have made it more user-friendly and directly integrated its most helpful features into search results, including the ability to remove your personal data from them.

Users must first take a somewhat counterintuitive step to use the tool: inputting their personal information into the system. While potentially alarming for those aiming to protect their privacy, this process is necessary for the tool to identify and manage specific data in search results. However, regardless of whether it appears in search results, Google likely already possesses this information anyway.

One of the most significant improvements in this update is the integration of its key features directly into search results. While not prominently displayed, users can access Results About You through the three-dot menu next to each search result. This menu includes options to remove results containing personal information.

When requesting the removal of personal information, Google prompts users for additional details, a process that typically takes only a few seconds. The interface also accommodates non-personal removal requests, such as reporting illegal content. All requests are logged in the “Results About You” tool for later review. It’s crucial to note that Google can only remove content from its search results, not the web pages containing it.

The redesigned hub allows users to monitor the status of their removal requests and offers additional features. For instance, users can request a data refresh if a search result contains inaccurate information. This option is useful when a website has removed personal data, but the search results haven’t updated.

It is not the first Google has overhauled the tool. In 2023, it introduced a suite of features that made it more proactive, actively scanning search results for users’ data. Developers added an expanded dashboard, giving users a more comprehensive view of their personal information in Search. It also added the ability to request the removal of nonconsensual explicit images from search results.

Google recommends regularly checking the Results About You hub. The tool automatically identifies new instances of previously highlighted personal data, allowing users to request removals quickly. Additionally, users can receive notifications via phone or email when new personal information emerges in search results.