#algorithmic trading software company

[fractaleeffects]

Discovering the Best Stock Trading Strategy: A Guide to Maximizing Market Success

Taking the step to discover the optimal stock trading strategy involves a thorough knowledge of different methodologies, each designed for a specific style of trading and market situation. Here's a review of some leading strategies:

1. Day Trading

Day trading is buying and selling of stocks on the same trading day with a view to making profits from short-term movements of price. Day traders using this method tend to use technical analysis and may use means such as moving averages and volume indicators to make quick judgments. The strategy requires round-the-clock attention and a thorough grasp of market conditions. 

2. Swing Trading

Swing trading is designed to take advantage of gains by maintaining positions for days to weeks. Traders examine market trends, support and resistance, and momentum indicators to look for potential entry and exit points. This strategy balances the requirement for active management with the versatility of longer holding periods.

3. Position Trading

Position trading involves holding stocks over long periods of time, from several months to several years. The technique relies on the expectation that the value of a stock will increase over time, normally in tandem with fundamental analysis and macroeconomic reasons. ​

Investopedia

4. Scalping

Scalping is an actively traded high-frequency strategy that makes money off small price movements, where positions are held only for seconds or minutes. Scalpers make multiple trades per day, and this calls for discipline as well as a robust trading system to handle the high pace. ​

Investopedia

5. Algorithmic Trading

Algorithmic trading involves using computer programs to make trades in accordance with set parameters like timing, price, or volume. The approach reduces human intervention and is capable of processing large amounts of data at high speeds, which makes it ideal for efficiency and accuracy-seeking traders.

Hantec Markets

6. News Trading

News trading takes advantage of volatility in the market after economic announcements, earnings releases, or geopolitical developments. News traders track news feeds and respond immediately to take advantage of short-term price action created by new information.

Choosing the Ideal Strategy

Individual objectives, tolerance for risk, time available, and knowledge of the market dictate the ideal stock trading strategy. Beginner traders can begin with position or swing trading to learn gradually without the strain of quick decisions involved in scalping or day trading. Alternatively, seasoned traders with high-risk tolerance and access to monitor markets around the clock may prefer scalping or day trading.​

Ongoing Learning and Adjustment

The financial markets are ever-changing and are dependent upon a thousand different factors varying from economic markers to technological trends. Therefore, one needs to stay committed to perpetual learning and the ability to conform. Accessing learning resources and professional wisdom will go a long way in polishing one's trading skills.

fractaleffects.com

Lastly, the search for the Best Stock Trading Strategy is a subjective experience, which calls for the integration of knowledge, experience, and self-knowledge. With a strategy aligned to your own inclinations and a keen sense of market developments, you are better positioned for success in the world of stock trading.

[bigulalgotrading]

What is a Rights Issue?

The process of conducting a Rights Issue in India involves several crucial steps, each meticulously regulated by the SEBI and the Companies Act, 2013.

Read more..

[lares-algotech]

Lares Algotech - Algo Trading Software Company in India

Lares Algotech is an algo trading company in India that is making a name for itself in the global market.

Learn more: https://freepressreleasedb.com/pr/How-Lares-Algotech-is-Using-Cutting-Edge-Algorithms-to-Deliver-High-Performance-Trading-Solutions-PR316623/

[metaboxfy]

Cryptocurrency exchange development company

Metaboxfy is a cryptocurrency exchange development company you may hire to help you create a trading app for cryptocurrencies. Since the algorithm that controls its trading is customized by Metabofy, a cryptocurrency exchange development company, for precision and speed, the exchange functions normally.

Check It Out!

[dreaminginthedeepsouth]

LETTERS FROM AN AMERICAN

January 18, 2025

Heather Cox Richardson

Jan 19, 2025

Shortly before midnight last night, the Federal Trade Commission (FTC) published its initial findings from a study it undertook last July when it asked eight large companies to turn over information about the data they collect about consumers, product sales, and how the surveillance the companies used affected consumer prices. The FTC focused on the middlemen hired by retailers. Those middlemen use algorithms to tweak and target prices to different markets.

The initial findings of the FTC using data from six of the eight companies show that those prices are not static. Middlemen can target prices to individuals using their location, browsing patterns, shopping history, and even the way they move a mouse over a webpage. They can also use that information to show higher-priced products first in web searches. The FTC found that the intermediaries—the middlemen—worked with at least 250 retailers.

“Initial staff findings show that retailers frequently use people’s personal information to set targeted, tailored prices for goods and services—from a person's location and demographics, down to their mouse movements on a webpage,” said FTC chair Lina Khan. “The FTC should continue to investigate surveillance pricing practices because Americans deserve to know how their private data is being used to set the prices they pay and whether firms are charging different people different prices for the same good or service.”

The FTC has asked for public comment on consumers�� experience with surveillance pricing.

FTC commissioner Andrew N. Ferguson, whom Trump has tapped to chair the commission in his incoming administration, dissented from the report.

Matt Stoller of the nonprofit American Economic Liberties Project, which is working “to address today’s crisis of concentrated economic power,” wrote that “[t]he antitrust enforcers (Lina Khan et al) went full Tony Montana on big business this week before Trump people took over.”

Stoller made a list. The FTC sued John Deere “for generating $6 billion by prohibiting farmers from being able to repair their own equipment,” released a report showing that pharmacy benefit managers had “inflated prices for specialty pharmaceuticals by more than $7 billion,” “sued corporate landlord Greystar, which owns 800,000 apartments, for misleading renters on junk fees,” and “forced health care private equity powerhouse Welsh Carson to stop monopolization of the anesthesia market.”

It sued Pepsi for conspiring to give Walmart exclusive discounts that made prices higher at smaller stores, “​​[l]eft a roadmap for parties who are worried about consolidation in AI by big tech by revealing a host of interlinked relationships among Google, Amazon and Microsoft and Anthropic and OpenAI,” said gig workers can’t be sued for antitrust violations when they try to organize, and forced game developer Cognosphere to pay a $20 million fine for marketing loot boxes to teens under 16 that hid the real costs and misled the teens.

The Consumer Financial Protection Bureau “sued Capital One for cheating consumers out of $2 billion by misleading consumers over savings accounts,” Stoller continued. It “forced Cash App purveyor Block…to give $120 million in refunds for fostering fraud on its platform and then refusing to offer customer support to affected consumers,” “sued Experian for refusing to give consumers a way to correct errors in credit reports,” ordered Equifax to pay $15 million to a victims’ fund for “failing to properly investigate errors on credit reports,” and ordered “Honda Finance to pay $12.8 million for reporting inaccurate information that smeared the credit reports of Honda and Acura drivers.”

The Antitrust Division of the Department of Justice sued “seven giant corporate landlords for rent-fixing, using the software and consulting firm RealPage,” Stoller went on. It “sued $600 billion private equity titan KKR for systemically misleading the government on more than a dozen acquisitions.”

“Honorary mention goes to [Secretary Pete Buttigieg] at the Department of Transportation for suing Southwest and fining Frontier for ‘chronically delayed flights,’” Stoller concluded. He added more results to the list in his newsletter BIG.

Meanwhile, last night, while the leaders in the cryptocurrency industry were at a ball in honor of President-elect Trump’s inauguration, Trump launched his own cryptocurrency. By morning he appeared to have made more than $25 billion, at least on paper. According to Eric Lipton at the New York Times, “ethics experts assailed [the business] as a blatant effort to cash in on the office he is about to occupy again.”

Adav Noti, executive director of the nonprofit Campaign Legal Center, told Lipton: “It is literally cashing in on the presidency—creating a financial instrument so people can transfer money to the president’s family in connection with his office. It is beyond unprecedented.” Cryptocurrency leaders worried that just as their industry seems on the verge of becoming mainstream, Trump’s obvious cashing-in would hurt its reputation. Venture capitalist Nick Tomaino posted: “Trump owning 80 percent and timing launch hours before inauguration is predatory and many will likely get hurt by it.”

Yesterday the European Commission, which is the executive arm of the European Union, asked X, the social media company owned by Trump-adjacent billionaire Elon Musk, to hand over internal documents about the company’s algorithms that give far-right posts and politicians more visibility than other political groups. The European Union has been investigating X since December 2023 out of concerns about how it deals with the spread of disinformation and illegal content. The European Union’s Digital Services Act regulates online platforms to prevent illegal and harmful activities, as well as the spread of disinformation.

Today in Washington, D.C., the National Mall was filled with thousands of people voicing their opposition to President-elect Trump and his policies. Online speculation has been rampant that Trump moved his inauguration indoors to avoid visual comparisons between today’s protesters and inaugural attendees. Brutally cold weather also descended on President Barack Obama’s 2009 inauguration, but a sea of attendees nonetheless filled the National Mall.

Trump has always understood the importance of visuals and has worked hard to project an image of an invincible leader. Moving the inauguration indoors takes away that image, though, and people who have spent thousands of dollars to travel to the capital to see his inauguration are now unhappy to discover they will be limited to watching his motorcade drive by them. On social media, one user posted: “MAGA doesn’t realize the symbolism of [Trump] moving the inauguration inside: The billionaires, millionaires and oligarchs will be at his side, while his loyal followers are left outside in the cold. Welcome to the next 4+ years.”

Trump is not as good at governing as he is at performance: his approach to crises is to blame Democrats for them. But he is about to take office with majorities in the House of Representatives and the Senate, putting responsibility for governance firmly into his hands.

Right off the bat, he has at least two major problems at hand.

Last night, Commissioner Tyler Harper of the Georgia Department of Agriculture suspended all “poultry exhibitions, shows, swaps, meets, and sales” until further notice after officials found Highly Pathogenic Avian Influenza, or bird flu, in a commercial flock. As birds die from the disease or are culled to prevent its spread, the cost of eggs is rising—just as Trump, who vowed to reduce grocery prices, takes office.

There have been 67 confirmed cases of the bird flu in the U.S. among humans who have caught the disease from birds. Most cases in humans are mild, but public health officials are watching the virus with concern because bird flu variants are unpredictable. On Friday, outgoing Health and Human Services secretary Xavier Becerra announced $590 million in funding to Moderna to help speed up production of a vaccine that covers the bird flu. Juliana Kim of NPR explained that this funding comes on top of $176 million that Health and Human Services awarded to Moderna last July.

The second major problem is financial. On Friday, Secretary of the Treasury Janet Yellen wrote to congressional leaders to warn them that the Treasury would hit the debt ceiling on January 21 and be forced to begin using extraordinary measures in order to pay outstanding obligations and prevent defaulting on the national debt. Those measures mean the Treasury will stop paying into certain federal retirement accounts as required by law, expecting to make up that difference later.

Yellen reminded congressional leaders: “The debt limit does not authorize new spending, but it creates a risk that the federal government might not be able to finance its existing legal obligations that Congresses and Presidents of both parties have made in the past.” She added, “I respectfully urge Congress to act promptly to protect the full faith and credit of the United States.”

Both the avian flu and the limits of the debt ceiling must be managed, and managed quickly, and solutions will require expertise and political skill.

Rather than offering their solutions to these problems, the Trump team leaked that it intended to begin mass deportations on Tuesday morning in Chicago, choosing that city because it has large numbers of immigrants and because Trump’s people have been fighting with Chicago mayor Brandon Johnson, a Democrat. Michelle Hackman, Joe Barrett, and Paul Kiernan of the Wall Street Journal, who broke the story, reported that Trump’s people had prepared to amplify their efforts with the help of right-wing media.

But once the news leaked of the plan and undermined the “shock and awe” the administration wanted, Trump’s “border czar” Tom Homan said the team was reconsidering it.

LETTERS FROM AN AMERICAN

HEATHER COX RICHARDSON

[mariacallous]

If Donald Trump wins the US presidential election in November, the guardrails could come off of artificial intelligence development, even as the dangers of defective AI models grow increasingly serious.

Trump’s election to a second term would dramatically reshape—and possibly cripple—efforts to protect Americans from the many dangers of poorly designed artificial intelligence, including misinformation, discrimination, and the poisoning of algorithms used in technology like autonomous vehicles.

The federal government has begun overseeing and advising AI companies under an executive order that President Joe Biden issued in October 2023. But Trump has vowed to repeal that order, with the Republican Party platform saying it “hinders AI innovation” and “imposes Radical Leftwing ideas” on AI development.

Trump’s promise has thrilled critics of the executive order who see it as illegal, dangerous, and an impediment to America’s digital arms race with China. Those critics include many of Trump’s closest allies, from X CEO Elon Musk and venture capitalist Marc Andreessen to Republican members of Congress and nearly two dozen GOP state attorneys general. Trump’s running mate, Ohio senator JD Vance, is staunchly opposed to AI regulation.

“Republicans don't want to rush to overregulate this industry,” says Jacob Helberg, a tech executive and AI enthusiast who has been dubbed “Silicon Valley’s Trump whisperer.”

But tech and cyber experts warn that eliminating the EO’s safety and security provisions would undermine the trustworthiness of AI models that are increasingly creeping into all aspects of American life, from transportation and medicine to employment and surveillance.

The upcoming presidential election, in other words, could help determine whether AI becomes an unparalleled tool of productivity or an uncontrollable agent of chaos.

Oversight and Advice, Hand in Hand

Biden’s order addresses everything from using AI to improve veterans’ health care to setting safeguards for AI’s use in drug discovery. But most of the political controversy over the EO stems from two provisions in the section dealing with digital security risks and real-world safety impacts.

One provision requires owners of powerful AI models to report to the government about how they’re training the models and protecting them from tampering and theft, including by providing the results of “red-team tests” designed to find vulnerabilities in AI systems by simulating attacks. The other provision directs the Commerce Department’s National Institute of Standards and Technology (NIST) to produce guidance that helps companies develop AI models that are safe from cyberattacks and free of biases.

Work on these projects is well underway. The government has proposed quarterly reporting requirements for AI developers, and NIST has released AI guidance documents on risk management, secure software development, synthetic content watermarking, and preventing model abuse, in addition to launching multiple initiatives to promote model testing.

Supporters of these efforts say they’re essential to maintaining basic government oversight of the rapidly expanding AI industry and nudging developers toward better security. But to conservative critics, the reporting requirement is illegal government overreach that will crush AI innovation and expose developers’ trade secrets, while the NIST guidance is a liberal ploy to infect AI with far-left notions about disinformation and bias that amount to censorship of conservative speech.

At a rally in Cedar Rapids, Iowa, last December, Trump took aim at Biden’s EO after alleging without evidence that the Biden administration had already used AI for nefarious purposes.

“When I’m reelected,” he said, “I will cancel Biden’s artificial intelligence executive order and ban the use of AI to censor the speech of American citizens on Day One.”

Due Diligence or Undue Burden?

Biden’s effort to collect information about how companies are developing, testing, and protecting their AI models sparked an uproar on Capitol Hill almost as soon as it debuted.

Congressional Republicans seized on the fact that Biden justified the new requirement by invoking the 1950 Defense Production Act, a wartime measure that lets the government direct private-sector activities to ensure a reliable supply of goods and services. GOP lawmakers called Biden’s move inappropriate, illegal, and unnecessary.

Conservatives have also blasted the reporting requirement as a burden on the private sector. The provision “could scare away would-be innovators and impede more ChatGPT-type breakthroughs,” Representative Nancy Mace said during a March hearing she chaired on “White House overreach on AI.”

Helberg says a burdensome requirement would benefit established companies and hurt startups. He also says Silicon Valley critics fear the requirements “are a stepping stone” to a licensing regime in which developers must receive government permission to test models.

Steve DelBianco, the CEO of the conservative tech group NetChoice, says the requirement to report red-team test results amounts to de facto censorship, given that the government will be looking for problems like bias and disinformation. “I am completely worried about a left-of-center administration … whose red-teaming tests will cause AI to constrain what it generates for fear of triggering these concerns,” he says.

Conservatives argue that any regulation that stifles AI innovation will cost the US dearly in the technology competition with China.

“They are so aggressive, and they have made dominating AI a core North Star of their strategy for how to fight and win wars,” Helberg says. “The gap between our capabilities and the Chinese keeps shrinking with every passing year.”

“Woke” Safety Standards

By including social harms in its AI security guidelines, NIST has outraged conservatives and set off another front in the culture war over content moderation and free speech.

Republicans decry the NIST guidance as a form of backdoor government censorship. Senator Ted Cruz recently slammed what he called NIST’s “woke AI ‘safety’ standards” for being part of a Biden administration “plan to control speech” based on “amorphous” social harms. NetChoice has warned NIST that it is exceeding its authority with quasi-regulatory guidelines that upset “the appropriate balance between transparency and free speech.”

Many conservatives flatly dismiss the idea that AI can perpetuate social harms and should be designed not to do so.

“This is a solution in search of a problem that really doesn't exist,” Helberg says. “There really hasn’t been massive evidence of issues in AI discrimination.”

Studies and investigations have repeatedly shown that AI models contain biases that perpetuate discrimination, including in hiring, policing, and health care. Research suggests that people who encounter these biases may unconsciously adopt them.

Conservatives worry more about AI companies’ overcorrections to this problem than about the problem itself. “There is a direct inverse correlation between the degree of wokeness in an AI and the AI's usefulness,” Helberg says, citing an early issue with Google’s generative AI platform.

Republicans want NIST to focus on AI’s physical safety risks, including its ability to help terrorists build bioweapons (something Biden’s EO does address). If Trump wins, his appointees will likely deemphasize government research on AI’s social harms. Helberg complains that the “enormous amount” of research on AI bias has dwarfed studies of “greater threats related to terrorism and biowarfare.”

Defending a “Light-Touch Approach”

AI experts and lawmakers offer robust defenses of Biden’s AI safety agenda.

These projects “enable the United States to remain on the cutting edge” of AI development “while protecting Americans from potential harms,” says Representative Ted Lieu, the Democratic cochair of the House’s AI task force.

The reporting requirements are essential for alerting the government to potentially dangerous new capabilities in increasingly powerful AI models, says a US government official who works on AI issues. The official, who requested anonymity to speak freely, points to OpenAI’s admission about its latest model’s “inconsistent refusal of requests to synthesize nerve agents.”

The official says the reporting requirement isn’t overly burdensome. They argue that, unlike AI regulations in the European Union and China, Biden’s EO reflects “a very broad, light-touch approach that continues to foster innovation.”

Nick Reese, who served as the Department of Homeland Security’s first director of emerging technology from 2019 to 2023, rejects conservative claims that the reporting requirement will jeopardize companies’ intellectual property. And he says it could actually benefit startups by encouraging them to develop “more computationally efficient,” less data-heavy AI models that fall under the reporting threshold.

AI’s power makes government oversight imperative, says Ami Fields-Meyer, who helped draft Biden’s EO as a White House tech official.

“We’re talking about companies that say they’re building the most powerful systems in the history of the world,” Fields-Meyer says. “The government’s first obligation is to protect people. ‘Trust me, we’ve got this’ is not an especially compelling argument.”

Experts praise NIST’s security guidance as a vital resource for building protections into new technology. They note that flawed AI models can produce serious social harms, including rental and lending discrimination and improper loss of government benefits.

Trump’s own first-term AI order required federal AI systems to respect civil rights, something that will require research into social harms.

The AI industry has largely welcomed Biden’s safety agenda. “What we're hearing is that it’s broadly useful to have this stuff spelled out,” the US official says. For new companies with small teams, “it expands the capacity of their folks to address these concerns.”

Rolling back Biden’s EO would send an alarming signal that “the US government is going to take a hands off approach to AI safety,” says Michael Daniel, a former presidential cyber adviser who now leads the Cyber Threat Alliance, an information sharing nonprofit.

As for competition with China, the EO’s defenders say safety rules will actually help America prevail by ensuring that US AI models work better than their Chinese rivals and are protected from Beijing’s economic espionage.

Two Very Different Paths

If Trump wins the White House next month, expect a sea change in how the government approaches AI safety.

Republicans want to prevent AI harms by applying “existing tort and statutory laws” as opposed to enacting broad new restrictions on the technology, Helberg says, and they favor “much greater focus on maximizing the opportunity afforded by AI, rather than overly focusing on risk mitigation.” That would likely spell doom for the reporting requirement and possibly some of the NIST guidance.

The reporting requirement could also face legal challenges now that the Supreme Court has weakened the deference that courts used to give agencies in evaluating their regulations.

And GOP pushback could even jeopardize NIST’s voluntary AI testing partnerships with leading companies. “What happens to those commitments in a new administration?” the US official asks.

This polarization around AI has frustrated technologists who worry that Trump will undermine the quest for safer models.

“Alongside the promises of AI are perils,” says Nicol Turner Lee, the director of the Brookings Institution’s Center for Technology Innovation, “and it is vital that the next president continue to ensure the safety and security of these systems.”

[ajmakoko]

Summary of evidence and concerns:

Trump is a Russian asset working for Putin (see book American Kompromat by journalist Craig Unger or Active Measures documentary with Hillary Clinton(1), sources below). Elon and Trump are working together (2). They both have substantial ties to Epstein (3) (4) (5) (6). Trump stole election software in 2020 (7). Similarly, Elon Musk has been in contact with Russia for the last 2 years (8). This includes during the Ukraine War when Russia began using Starlink (9) while it was claimed they got them third party and not from Musk himself; however now appears imo to show Elon is a doublecrosser.

Starlink, Elon's satellite company, was installed in some voting machines across the country (10) and may have interfered with vote tabulation. Voting machines were found to be connected to the internet (11). An independent report on voting machines concluded that tabulation tampering was possible with current voting machines, so hand counts are vital (12). In September, Politico had an investigation finding Russian malware on a state voter registration database (13). Also, there were malicious fake texts from fake DNC organizations, connected to Elon who donated to them, that were fishing voter info (14).

Elon had results of election on an app 4 hours before official counts had it (15), per Joe Rogan podcast in a discussion to Theo Von. Earlier this year, Tana Monogeau, released info that she'd been offered millions of dollars to endorse the Trump campaign and that she knew others had taken the deal (16).

They will release more info admitting their fraud because they are a Russian asset trying to start a civil war here (speculation). They want us to be confused about sources and who to trust and what's real, they want to release the truth to anger us and lies to anger us. Trump has refused to write an ethics statement for transition of power saying he will transition peacefully (17). JD Vance has also told the EU that unless they allow X unfettered access to the EU (to spread propaganda), they will withdraw the US from NATO (18) - which will prompt wars or takeover either way and weakens Germany, who is entering an election since their government couldn't agree on Ukraine budget. A Russian space chief said Elon Musk’s plan to bomb Mars is a cover to put nuclear weapons in space (19).

Also speculation, are reports of widespread ballot rejection, especially for signatures. There are articles claiming already that it is because GenZ does not know cursive (20) - except the signature simply must match your driver's license. It's not a cursive writing test. Avocado toast but with gen z voting fraud. We do not yet have the ballot rejection rates but typically they are around 1% to 1.5% (21).

Crypto is how right wing conservatism got funded here. It's why it took off- it was basically UBI for those men, funded by foreign intelligence for this purpose along with other uses for crypto like dark money, drugs, trafficking, etc (22)(23). The least informed people we knew were investing in crypto when it was starting, mining bitcoins. They couldn't tell you what a stock or tariff is, yet they were making bank in crypto trading. Crypto trading, especially memecoins, appears to be an obvious scam to most because it's the stock market without ownership. So why were these 4chan pedophiles and nazis doing so well? Because it was just meant to give them money the whole time. And crypto is great for transferring money internationally from shady organizations to shady people (24). Far right catchphrases and meme campaigns dispersed online including X, give out the key words/catchphrases for the new coin that isn't a scam and will disperse money. People who are deep in these groups interner algorithms get these keywords first and normal outsiders will either not notice or will stay away. No normal person wants a coin that references Hitler if they are just scrolling memecoins.

Once the government has been taken over, they can force their memecoin as the national currency and then rug pull, which is also what Musk is likely going to do to Tesla at the same time. The entire point is to bankrupt America for Putin and his cartoon villain cohorts. Musk is already saying he wants to withdraw from US currency due to national debt (Trump added most of the national debt) (25).

If you're in Germany, take note. They are coming for you next, your election is soon.

News Links

(1) https://youtu.be/5umiMThrlsA?si=mwgr4U2c2jleJEBj

(2) https://abcnews.go.com/Politics/elon-musk-weighing-trump-staffing-decisions-sources/story?id=115730434

(3) https://slate.com/news-and-politics/2024/03/trump-infiltrate-voting-machines-georgia-2020.html

(4) https://www.nytimes.com/2019/08/12/business/jeffrey-epstein-interview.html

(5) https://www.businessinsider.com/jeffrey-epsteins-ex-girlfriend-dated-kimbal-musk-brother-of-tesla-founder-elon-musk-2020-1

(6) https://podcasts.apple.com/us/podcast/fire-and-fury-the-podcast/id1750757108

(7) https://www.theguardian.com/us-news/2024/nov/01/trump-jeffrey-epstein-tapes

(8) https://www.pbs.org/newshour/politics/what-to-know-about-elon-musks-reported-phone-calls-with-putin-and-why-it-matters

(9) https://www.reuters.com/world/europe/russia-using-thousands-spacex-starlink-terminals-ukraine-wsj-says-2024-02-15/

(10) https://www.reddit.com/r/worldnewsvideo/comments/1gnxqmw/elon_musks_company_starlink_praised_by_tulare/

(11) www.nbcnews.com/news/ncna1112436

(12) https://www.pbs.org/newshour/show/inside-georgias-effort-to-secure-voting-machines-as-experts-raise-concerns

(13) https://www.politico.com/news/2024/09/01/us-election-software-national-security-threats-00176615

(14) https://www.opensecrets.org/news/2024/10/pro-trump-dark-money-network-tied-to-elon-musk-behind-fake-pro-harris-campaign-scheme/

(15) https://grabien.com/story.php?id=499986

(16) https://www.buzzfeed.com/natashajokic1/tana-mongeau-paid-political-endorsement

(17) https://apnews.com/article/trump-transition-planning-ca3a6be50d147b04b6498184e5599b1e

(18) https://www.independent.co.uk/news/world/americas/us-politics/jd-vance-elon-musk-x-twitter-donald-trump-b2614525.html

(19) https://thehill.com/policy/transportation/499968-russian-space-chief-elon-musks-plan-to-bomb-mars-is-a-cover-to-put/

(20) https://www.businessinsider.com/gen-z-voters-struggle-signatures-cast-mail-ballot-problems-2024-11

(21) https://ballotpedia.org/Election_results,_2024:_Analysis_of_rejected_ballots

(22) https://www.pbs.org/wgbh/frontline/article/far-right-extremists-raise-millions-cryptocurrency-bitcoin/

(23) https://www.nytimes.com/2022/01/10/opinion/crypto-cryptocurrency-money-conspiracy.html

(24) https://apnews.com/article/cryptocurrency-coronavirus-pandemic-technology-business-europe-f7f754fc2c68b0eb0d712239323f26c3

(25) https://www.forbes.com/sites/digital-assets/2024/11/10/its-unsustainable-tesla-ceo-elon-musk-issues-us-serious-bankruptcy-warning-amid-huge-bitcoin-and-dogecoin-price-surge/

Personal Testimony from the dickbags themselves:

youtube.com/live/HBPNfAUPz08?si=PZQa_D_wbN9VoA6y

In the first minute:

"Your votes are rigged. We can win New Mexico."

"If you can watch your vote counter, if we can bring God down from heaven (he's referencing Starlink), we can win this, win California, win a lot of states."

https://timesofindia.indiatimes.com/world/us/if-trump-loses-im-fcked-elon-musk-in-interview-with-tucker-carlson/articleshow/114024254.cms

“If [Trump] loses, I’m f*cked… How long do you think my prison sentence is going to be?”

Why does Elon think he would go to prison though? For what crime?

youtu.be/Zmc0EN8XAY8?si=5u_mJNte37r4JmUb

Trump:"Our little secret is having a big impact"

If Trump was so sure the election was rigged and they were going to turnover every state including California, then why hasn't he asked for a recount in all the states with representatives that didn't get elected that he thought would be? Shouldn't he be suing for recounts? He did it last time. Why doesn't he want an investigation this time?

#AssetForfeitureTrumpMusk

If they get locked into years of asset forfeiture from layers and layers of state and municipal claims and lawsuits (which will require discovery lol), we may be able to stop them. Which is likely part of why they are moving to bitcoin as well.

[tieflingkisser]

Facebook Allegedly Detected When Teen Girls Deleted Selfies So It Could Serve Them Beauty Ads

"This is what puts money in all our pockets."

from the article:

You might have heard the famous maxim that "if something is free, you're the product." The freemium world of apps and social media have made it nearly indisputable,heralding a previously unimaginable tech panopticon known as "surveillance capitalism."

Surveillance capitalism came about when some crafty software engineers realized that advertisers were willing to pay bigtime for our personal data, which builds up as we surf the web. That data helps advertising corporations "understand their audience" and "deliver highly relevant content," and has expanded into a global data trade as more and more people spend more time online.

The data trade is how social media platforms like Google, YouTube, and TikTok make their bones. In 2022, the data industry raked in just north of $274 billion worth of revenue. By 2030, it's expected to explode to just under $700 billion.

And as the data trade expands, so too does the tech behind it. What were once chintzy if endearing tabloid-style popups — "Doctors hate him! See how he reversed his age with one weird trick" — have now become hyper-personalized ads crafted and delivered for very specific groups of users, a system called "social media targeting."

[...]

A recent tell-all book by former Facebook insider Sarah Wynn-Williams, titled "Careless People," is blowing the lid on the sheer depravity of the social media giant's targeting machine. Wynn-Williams worked at Facebook — which subsequently changed its name to Meta a few years back — from 2011 to 2017, eventually rising to the role of public policy director.

As early as 2017, Wynn-Williams writes, Facebook was exploring ways to expand its ad targeting abilities to thirteen-to-seventeen-year-olds across Facebook and Instagram — a decidedly vulnerable group, often in the throes of adolescent image and social crises.

Though Facebook's ad algorithms are notoriously opaque, in 2017 The Australian alleged that the company had crafted a pitch deck for advertisers bragging that it could exploit "moments of psychological vulnerability" in its users by targeting terms like "worthless," "insecure," "stressed," "defeated," "anxious," "stupid," "useless," and "like a failure."

The social media company likewise tracked when adolescent girls deleted selfies, "so it can serve a beauty ad to them at that moment," according to Wynn-Williams. Other examples of Facebook's ad lechery are said to include the targeting of young mothers based on their emotional state, as well as emotional indexes mapped to racial groups, like a "Hispanic and African American Feeling Fantastic Over-index."

"To me, this type of surveillance and monetization of young teens’ sense of worthlessness feels like a concrete step toward the dystopian future Facebook’s critics had long warned of," Wynn-Williams reflects.

[watchmorecinema]

Normally I just post about movies but I'm a software engineer by trade so I've got opinions on programming too.

Apparently it's a month of code or something because my dash is filled with people trying to learn Python. And that's great, because Python is a good language with a lot of support and job opportunities. I've just got some scattered thoughts that I thought I'd write down.

Python abstracts a number of useful concepts. It makes it easier to use, but it also means that if you don't understand the concepts then things might go wrong in ways you didn't expect. Memory management and pointer logic is so damn annoying, but you need to understand them. I learned these concepts by learning C++, hopefully there's an easier way these days.

Data structures and algorithms are the bread and butter of any real work (and they're pretty much all that come up in interviews) and they're language agnostic. If you don't know how to traverse a linked list, how to use recursion, what a hash map is for, etc. then you don't really know how to program. You'll pretty much never need to implement any of them from scratch, but you should know when to use them; think of them like building blocks in a Lego set.

Learning a new language is a hell of a lot easier after your first one. Going from Python to Java is mostly just syntax differences. Even "harder" languages like C++ mostly just mean more boilerplate while doing the same things. Learning a new spoken language in is hard, but learning a new programming language is generally closer to learning some new slang or a new accent. Lists in Python are called Vectors in C++, just like how french fries are called chips in London. If you know all the underlying concepts that are common to most programming languages then it's not a huge jump to a new one, at least if you're only doing all the most common stuff. (You will get tripped up by some of the minor differences though. Popping an item off of a stack in Python returns the element, but in Java it returns nothing. You have to read it with Top first. Definitely had a program fail due to that issue).

The above is not true for new paradigms. Python, C++ and Java are all iterative languages. You move to something functional like Haskell and you need a completely different way of thinking. Javascript (not in any way related to Java) has callbacks and I still don't quite have a good handle on them. Hardware languages like VHDL are all synchronous; every line of code in a program runs at the same time! That's a new way of thinking.

Python is stereotyped as a scripting language good only for glue programming or prototypes. It's excellent at those, but I've worked at a number of (successful) startups that all were Python on the backend. Python is robust enough and fast enough to be used for basically anything at this point, except maybe for embedded programming. If you do need the fastest speed possible then you can still drop in some raw C++ for the places you need it (one place I worked at had one very important piece of code in C++ because even milliseconds mattered there, but everything else was Python). The speed differences between Python and C++ are so much smaller these days that you only need them at the scale of the really big companies. It makes sense for Google to use C++ (and they use their own version of it to boot), but any company with less than 100 engineers is probably better off with Python in almost all cases. Honestly thought the best programming language is the one you like, and the one that you're good at.

Design patterns mostly don't matter. They really were only created to make up for language failures of C++; in the original design patterns book 17 of the 23 patterns were just core features of other contemporary languages like LISP. C++ was just really popular while also being kinda bad, so they were necessary. I don't think I've ever once thought about consciously using a design pattern since even before I graduated. Object oriented design is mostly in the same place. You'll use classes because it's a useful way to structure things but multiple inheritance and polymorphism and all the other terms you've learned really don't come into play too often and when they do you use the simplest possible form of them. Code should be simple and easy to understand so make it as simple as possible. As far as inheritance the most I'm willing to do is to have a class with abstract functions (i.e. classes where some functions are empty but are expected to be filled out by the child class) but even then there are usually good alternatives to this.

Related to the above: simple is best. Simple is elegant. If you solve a problem with 4000 lines of code using a bunch of esoteric data structures and language quirks, but someone else did it in 10 then I'll pick the 10. On the other hand a one liner function that requires a lot of unpacking, like a Python function with a bunch of nested lambdas, might be easier to read if you split it up a bit more. Time to read and understand the code is the most important metric, more important than runtime or memory use. You can optimize for the other two later if you have to, but simple has to prevail for the first pass otherwise it's going to be hard for other people to understand. In fact, it'll be hard for you to understand too when you come back to it 3 months later without any context.

Note that I've cut a few things for simplicity. For example: VHDL doesn't quite require every line to run at the same time, but it's still a major paradigm of the language that isn't present in most other languages.

Ok that was a lot to read. I guess I have more to say about programming than I thought. But the core ideas are: Python is pretty good, other languages don't need to be scary, learn your data structures and algorithms and above all keep your code simple and clean.

[vibeventurehub]

25 Passive Income Ideas to Build Wealth in 2025

Passive income is a game-changer for anyone looking to build wealth while freeing up their time. In 2025, technology and evolving market trends have opened up exciting opportunities to earn money with minimal ongoing effort. Here are 25 passive income ideas to help you grow your wealth:

1. Dividend Stocks

Invest in reliable dividend-paying companies to earn consistent income. Reinvest dividends to compound your returns over time.

2. Real Estate Crowdfunding

Join platforms like Fundrise or CrowdStreet to invest in real estate projects without the hassle of property management.

3. High-Yield Savings Accounts

Park your money in high-yield savings accounts or certificates of deposit (CDs) to earn guaranteed interest.

4. Rental Properties

Purchase rental properties and outsource property management to enjoy a steady cash flow.

5. Short-Term Rentals

Leverage platforms like Airbnb or Vrbo to rent out spare rooms or properties for extra income.

6. Peer-to-Peer Lending

Lend money through platforms like LendingClub and Prosper to earn interest on your investment.

7. Create an Online Course

Turn your expertise into an online course and sell it on platforms like Udemy or Teachable for recurring revenue.

8. Write an eBook

Publish an eBook on Amazon Kindle or similar platforms to earn royalties.

9. Affiliate Marketing

Promote products or services through a blog, YouTube channel, or social media and earn commissions for every sale.

10. Digital Products

Design and sell digital products such as templates, printables, or stock photos on Etsy or your website.

11. Print-on-Demand

Use platforms like Redbubble or Printful to sell custom-designed merchandise without inventory.

12. Mobile App Development

Create a useful app and monetize it through ads or subscription models.

13. Royalties from Creative Work

Earn royalties from music, photography, or artwork licensed for commercial use.

14. Dropshipping

Set up an eCommerce store and partner with suppliers to fulfill orders directly to customers.

15. Blogging

Start a niche blog, grow your audience, and monetize through ads, sponsorships, or affiliate links.

16. YouTube Channel

Create a YouTube channel around a specific niche and earn through ads, sponsorships, and memberships.

17. Automated Businesses

Use tools to automate online businesses, such as email marketing or subscription box services.

18. REITs (Real Estate Investment Trusts)

Invest in REITs to earn dividends from real estate holdings without owning property.

19. Invest in Index Funds

Index funds provide a simple way to earn passive income by mirroring the performance of stock market indexes.

20. License Software

Develop and license software or plugins that businesses and individuals can use.

21. Crypto Staking

Participate in crypto staking to earn rewards for holding and validating transactions on a blockchain network.

22. Automated Stock Trading

Leverage robo-advisors or algorithmic trading platforms to generate passive income from the stock market.

23. Create a Membership Site

Offer exclusive content or resources on a membership site for a recurring subscription fee.

24. Domain Flipping

Buy and sell domain names for a profit by identifying valuable online real estate.

25. Invest in AI Tools

Invest in AI-driven platforms or create AI-based products that solve real-world problems.

Getting Started

The key to success with passive income is to start with one or two ideas that align with your skills, interests, and resources. With dedication and consistency, you can build a diversified portfolio of passive income streams to secure your financial future.

[follow-up-news]

The Federal Trade Commission has ordered information from eight companies that the agency says offer products and services that use personal data to set prices based on a shopper’s individual characteristics. In a Tuesday announcement, the FTC said it was seeking to better understand the “opaque market” of “surveillance pricing” practices using consumer data — including credit information, location and browsing history — to charge different customers different prices for the same goods. To do this, the agency noted, third-party intermediaries claim to use advanced algorithms, artificial intelligence and other technology. “Firms that harvest Americans’ personal data can put people’s privacy at risk. Now firms could be exploiting this vast trove of personal information to charge people higher prices,” FTC Chair Lina M. Khan said in a prepared statement. Khan added that the FTC’s inquiry “will shed light on this shadowy ecosystem of pricing middlemen.” The FTC said it sent orders to Mastercard, Revionics, Bloomreach, JPMorgan Chase, Task Software, PROS, Accenture and McKinsey & Co.

[bigulalgotrading]

Urban Company IPO GMP, Open Date, Allotment Status, Listing Date, DRHP

Urban Company IPO open date is expected to be in the mid of June 2025 This IPO is a book built issue of ₹3000 crore plus expected Urban Company IPO GMP is 0.

[boredtechnologist]

Electronic Art's "MULE" for the Atari 400/800/1200 computer

Released in 1983 by Electronic Arts for the Atari 400/800, "M.U.L.E." is a seminal video game that combines elements of strategy, resource management, and economic simulation in a multiplayer format. Designed by Dan Bunten (later Danielle Bunten Berry) of Ozark Softscape, "M.U.L.E." is recognized not only for its innovative gameplay but also for fostering social interaction and strategic thinking among players. It remains a beloved classic for its pioneering approach to multiplayer gaming and its enduring game design principles.

Historical Context

The early 1980s marked a vibrant period for the home computer market, with the Atari 400/800 series emerging as significant platforms due to their advanced graphic and sound capabilities relative to competitors. This era witnessed the rise of software companies eager to explore these new technologies, among them Electronic Arts, which was founded with the vision of supporting software developers as artists. "M.U.L.E." was among the first titles released under this new banner, exemplifying the company's commitment to innovative and thoughtful game design.

Gameplay and Design

"M.U.L.E." allows up to four players to colonize a distant planet, competing and cooperating to manage the allocation of resources such as food, energy, smithore (used to make MULEs—Multiple Use Labor Elements), and crystite. The gameplay involves strategic placement of MULEs on various plots of land to harvest resources, which are then used to sustain the colony and can be bought or sold in a dynamic marketplace that simulates supply and demand economics.

One of the most innovative aspects of "M.U.L.E." is its emphasis on economic principles, making it one of the first games to incorporate complex economic algorithms that impact player decisions. It also promotes social interaction through its auction system, where players negotiate and trade resources, requiring real-time decision-making that enhances the game’s dynamic feel.

Technological Innovations

"M.U.L.E." was technologically significant for several reasons. Firstly, its graphic design was highly effective yet simple, with clear, colorful representations of the game world that made complex information accessible and engaging. The user interface was ahead of its time, providing players with easy navigation and management of in-game actions, which was crucial for a game with such depth.

Secondly, the game made excellent use of the Atari 400/800's capabilities, particularly in handling multiple players in a turn-based setting without sacrificing pace or engagement. This was a remarkable achievement that set a precedent for future multiplayer games.

Cultural Impact and Legacy

"M.U.L.E." is beloved by those who played it for several reasons. It was one of the first games to effectively blend competitive and cooperative gameplay, creating a unique social experience in video gaming. The game's ability to forge a communal spirit among players, coupled with the intellectual challenge of managing economic variables, made it not only fun but a mentally stimulating experience.

The game's influence extends beyond just gameplay; it is cited as an inspiration by numerous game developers who appreciated its balanced game mechanics and economic simulation aspects. "M.U.L.E." laid the groundwork for many future simulations and strategy games, and its principles can be seen in modern titles that incorporate complex economic systems and multiplayer components.

Conclusion

"M.U.L.E." remains a landmark in video game history, notable for its innovative approach to gameplay, technology, and social gaming dynamics. It stands out not only as a product of its time but also as a forward-thinking creation that predicted and shaped future developments in the gaming industry. For many, "M.U.L.E." was more than just a game; it was a compelling social and strategic experience that has endured in memory and influence, continuing to inspire game designers and players alike with its timeless design and gameplay.

[metaboxfy]

Cryptocurrency exchange development company

Create your own bitcoin trading program with the help of cryptocurrency exchange development company Metaboxfy. It trades like any other exchange, but only Metabofy, a cryptocurrency exchange development company, has calibrated the algorithm that powers it to manage transaction accuracy and speed.

Look It Up!

[strategy-law-llp]

How a Tech Lawyer Can Help You Navigate Global Expansion

Strategic Legal Guidance from Strategy Law

Expanding your technology business into international markets is an exciting step—but it's one that comes with significant legal complexity. From data privacy to IP protection and cross-border contracts, global expansion introduces a new layer of regulatory and operational challenges. That’s where a knowledgeable tech lawyer becomes indispensable.

At Strategy Law, our experienced tech attorneys provide forward-thinking legal solutions to help technology companies grow across borders with confidence and compliance.

Why Global Expansion Requires Legal Expertise

Tech companies are uniquely positioned to scale rapidly into new markets, but laws don’t scale with your software. Every country has its own legal frameworks around privacy, intellectual property, taxes, labor, and more. Without legal guidance, even a small misstep can result in fines, blocked access, or reputational damage.

That’s why working with a trusted tech lawyer is essential to protect your assets and ensure your operations remain compliant from the outset.

 

Key Ways a Tech Lawyer at Strategy Law Can Help

Here’s how Strategy Law’s tech lawyers assist technology companies with international growth:

1. Cross-Border Contracts and Licensing Agreements

Entering new markets often involves licensing products, hiring vendors, or entering into partnerships. We draft and negotiate enforceable cross-border agreements that align with both U.S. and local laws.

2. Data Privacy & Regulatory Compliance

Global operations require compliance with laws like the GDPR, UK DPA, Canadian PIPEDA, and more. Our tech lawyers help you build policies and practices that meet international data protection standards.

3. Intellectual Property Protection Across Jurisdictions

We help tech companies protect their IP—whether it's source code, trademarks, or proprietary algorithms—through global trademark filings, patents, and licensing strategies tailored to each market.

4. Entity Formation & Corporate Structuring

Expanding globally often means setting up subsidiaries or branches abroad. We assist in choosing the right corporate structure, filing the necessary paperwork, and coordinating with local counsel.

5. Employment & Contractor Compliance

From remote hires to overseas offices, we help you comply with international labor laws, draft employment agreements, and develop workplace policies that meet global standards.

6. Export Control & Sanctions Compliance

Tech products and services may be subject to export controls or restricted jurisdictions. Strategy Law ensures your business meets U.S. and international trade laws to avoid violations and penalties.

 

Why Choose Strategy Law as Your Tech Legal Partner?

As a leading legal firm in California, Strategy Law offers deep experience supporting tech companies—from agile startups to global SaaS platforms. Our tech lawyers combine Silicon Valley insight with practical international legal strategy to help clients:

Enter new markets confidently

Avoid compliance risks

Protect their IP and data

Build scalable, legally sound operations

Whether you're expanding to Europe, Asia, or South America, our team delivers the legal clarity and precision you need to succeed.

 

Ready to Expand Globally? Let’s Talk.

Expanding your technology business globally is a bold move—and the right legal support can make all the difference. At Strategy Law, our seasoned tech lawyers are here to guide you through every stage of international growth.

Contact us today to schedule a consultation.

[quanttrix1]

What is ROE in Stock Market? Explained Simply

What is ROE in Stock Market? A Beginner-Friendly Guide

Introduction

If you've ever looked into stocks or investing, you've probably come across the term ROE, or Return on Equity. Sounds technical, right? Don’t worry—this article breaks it down into bite-sized, easy-to-understand pieces.

Imagine you're baking a cake. You use eggs, flour, sugar, and your time—your "resources." Now, the final cake is your "return." ROE is like checking how good your cake is compared to what you used to make it. In investing, ROE shows how efficiently a company turns your money into profit.

Whether you're just dipping your toes into the stock market or you're already exploring algorithmic trading software and tools like the best algo trading software in India, understanding ROE is crucial. Let’s decode this financial metric together.

Learn what ROE means in stocks. Discover how it impacts investments and connects to best algo trading software in India, algorithmic trading software, online trading software.

What is ROE in Simple Terms?

Return on Equity (ROE) is a measure of how well a company uses its shareholders’ money to generate profit. Think of it as a “report card” that tells you how efficiently your invested money is being used.

If you own a small bakery and invest ₹1,00,000 of your own money into it, and after a year you make ₹20,000 in profit, your ROE would be 20%. It means you earned ₹20 for every ₹100 you invested.

Why Should You Care About ROE?

Because it tells you how well a company is performing without you needing to be a finance expert. Whether you're a long-term investor or someone who prefers algorithmic trading software to automate your trades, ROE can help you pick quality stocks.

It answers a simple question: “If I give this company ₹100, how much will it give me back in profits?”

The ROE Formula Explained

Here’s the basic formula:

ROE = (Net Income ÷ Shareholder’s Equity) × 100

Net Income: This is the profit after taxes and expenses.

Shareholder’s Equity: This is the total amount of money that shareholders have invested.

Example Calculation

If a company has ₹10 crore in net income and ₹50 crore in equity:

ROE = (10 ÷ 50) × 100 = 20%

That means the company earns ₹20 for every ₹100 shareholders have invested.

Real-Life Example of ROE

Let’s take a fictional example:

Company A: Net Income = ₹15 crore, Equity = ₹100 crore → ROE = 15%

Company B: Net Income = ₹20 crore, Equity = ₹200 crore → ROE = 10%

Which one is better? At first glance, you might think Company B is better because it made more profit. But Company A is using its money more efficiently, giving you better returns per rupee.

ROE vs Other Financial Ratios

ROE is just one metric in the financial toolbox. Here's how it compares:

ROE: Focuses on return on equity.

ROA (Return on Assets): Shows how efficiently a company uses all its assets.

ROI (Return on Investment): Broader; measures overall gain from an investment.

For stock investors, ROE is more precise, especially when using online trading software that tracks equity-specific data.

High ROE vs Low ROE: What It Tells You

High ROE (Above 15%): Indicates efficient use of capital.

Low ROE (Below 10%): Suggests poor financial management or underperformance.

Caution: A super high ROE (like 50%+) might be due to very low equity or high debt, which isn’t always good.

What is a Good ROE Percentage?

A “good” ROE can vary by industry. But as a general rule:

15% to 20% is considered strong.

10% to 15% is average.

Below 10% needs a deeper look.

Some of the best algo trading software in India uses ROE filters above 15% to select quality stocks for automated trading.

How ROE Reflects a Company's Health

ROE gives you insight into:

Management effectiveness

Profitability

Efficiency of capital usage

A consistently growing ROE is a sign of a company that knows what it's doing.

ROE and Investor Decision-Making

Smart investors often compare ROE across companies in the same sector. If you’re using algorithmic trading software, you can automate this comparison to save time and catch patterns human eyes might miss.

ROE can also help you avoid value traps—companies that look cheap but are poor at turning capital into profits.

ROE in Different Industries

ROE isn't a one-size-fits-all number. Some industries are naturally more capital-intensive, which affects ROE:

Industry

Average ROE Range

Tech

15% – 30%

Banks & Financials

10% – 20%

Utilities

5% – 10%

FMCG

20% – 35%

Use online trading software that groups stocks by sector to better compare their ROEs.

Limitations of ROE

While ROE is powerful, it’s not perfect. Watch out for:

High Debt Levels: ROE can be artificially inflated.

Share Buybacks: Can temporarily boost ROE without improving real performance.

Negative Equity: Makes ROE calculation meaningless.

Always combine ROE with other metrics like debt-to-equity ratio or profit margins.

How to Use ROE in Online Trading Software

Modern online trading software allows you to:

Filter stocks by ROE thresholds.

Set alerts for rising or falling ROE.

Backtest ROE-based strategies.

This is especially helpful for retail investors who want smart tools but don’t want to crunch numbers manually.

ROE and Algo Trading Strategies

Many algorithmic trading software platforms use ROE as part of their stock selection logic. For example:

Buy stocks with ROE > 20% and low debt.

Avoid stocks where ROE is falling for three straight quarters.

Combine ROE with technical indicators like moving averages.

The beauty? The software handles it all automatically.

Best Algo Trading Software in India for ROE-Based Strategies

Some top platforms offering ROE filters and automation:

Quanttrix: Best algo trading software in India for smart ROE-based screening.

Streak by Zerodha: Integrates technical and fundamental metrics.

AlgoTest: Easy backtesting with ROE as a parameter.

Tradetron: Supports custom strategies using ROE conditions.

These tools bring data-driven intelligence to your fingertips.

Conclusion: Making ROE Work for You

Understanding ROE is like having a flashlight in a dark cave. It won’t guarantee treasure, but it shows you where to step and what to avoid. Whether you're a casual investor or someone using the best algo trading software in India, ROE should be part of your decision-making toolkit.

Used wisely, it helps you invest smarter, not harder.

FAQs

What does ROE mean in simple words? ROE shows how well a company uses its investors' money to make profits—like a scorecard for investment efficiency.

Is a higher ROE always better? Not always. Extremely high ROE can be due to high debt or accounting tricks. It’s important to look at the full picture.

Can I use ROE in algo trading? Absolutely! Many algorithmic trading software tools include ROE filters to help automate smart trading decisions.

What's a good ROE for Indian companies? Typically, an ROE of 15–20% is considered good. But it varies by industry—tech and FMCG usually have higher ROEs.

How do I find ROE for a company? You can check financial websites or use online trading software that provides detailed company fundamentals.