Highlights: British Columbia has banned new crypto mining projects to secure electricity for industries that create more jobs. The province will redirect clean power toward AI manufacturing and hydrogen production. The ban aims to protect its hydroelectric supply and support long-term economic stability. British Columbia has announced a permanent ban on new cryptocurrency mining projects. The province said BC Hydro, its government-owned power utility, will no longer accept new grid connection requests from crypto mining companies. Canadian province British Columbia has introduced new legislation aimed at restricting power consumption by AI data centers and imposing a permanent ban on new cryptocurrency mining operations. BC’s move limits crypto mining growth in Canada but doesn’t directly affect… pic.twitter.com/L9FVBtYQLH — Flippin finance (@flippifi) October 21, 2025 Officials confirmed that the policy will replace the temporary moratorium introduced in 2022. They said the permanent rule aims to protect electricity supplies and prevent pressure on the province’s power grid. The decision also seeks to ensure that clean hydroelectric power supports industries that generate more jobs and income for local communities. The Ministry of Energy and Climate Solutions said crypto mining consumes large amounts of power but contributes little to public revenue. Therefore, the province plans to redirect available electricity to sectors with stronger employment and investment potential. Those include hydrogen production, natural gas processing, and manufacturing. Pending mining proposals would have required more than 11,700 gigawatt-hours of power each year. That amount could power hundreds of thousands of homes across the province. The ministry said such demand could affect grid stability and reduce electricity access for households and essential industries. Province Prioritizes Power for High-Value Industries and Job Growth The permanent restriction is part of a broader energy reform program planned for late 2025. These reforms will guide how industrial electricity is distributed across British Columbia. They will also define new rules for emerging high-consumption sectors, including artificial intelligence and data centers. BC Hydro will begin a competitive bidding process to allocate 400 megawatts of power in early next year. Out of that, 300 megawatts will be used in AI projects and 100 megawatts in data centers. This will be done over a period of two years with fair distribution of energy among applicants. Traditional industries like mining, forestry, manufacturing, and oil and gas will have no limit to access to industrial power. Officials said construction on new transmission lines will begin in 2026 and continue until 2034. These projects aim to expand the grid and meet rising energy demand from growing industries. Adrian Dix, Minister of Energy and Climate Solutions, said the policy will protect the province’s clean electricity from overuse. He said the new allocation framework ensures energy supports projects that deliver economic and social value. “Our new approach will make sure our clean energy benefits British Columbians while creating sustainable jobs,” Dix said. Norway is also preparing to restrict new crypto mining centers starting in fall 2025. Officials there plan to prioritize power for industries that create more local economic benefits. BC’s Decision Mirrors Global Shift from Crypto Mining to AI Power Demand British Columbia’s action follows similar steps in provinces like Manitoba and Quebec. The two jurisdictions limited the use of crypto electricity to avoid energy shortages and encourage the distribution of cleaner power. The 2022 initial moratorium followed the increase in crypto mining in British Columbia. It attracted many miners with its cheap and renewable hydroelectricity. However, officials said crypto mining offered few jobs and limited local investment despite its heavy energy use. In Abu Dhabi, the Agriculture and Food Safety Authority prohibited crypto mining on agricultural land. Violators will be fined AED100,000 and may lose power supply and municipal services. BREAKING: Abu Dhabi has prohibited crypto mining on farmland, with violators facing Dh100,000 fines and service suspensions.#uae #crypto #farmland #cryptonews #dubai #cryptoscam #cryptobanned pic.twitter.com/aA29lt8pnp — Kanishk chaudhary (@Kanishk1804) October 2, 2025 In the United States, New York State Senator Liz Krueger introduced a bill to tax crypto mining based on electricity consumption. That plan would apply to miners with annual consumption exceeding 2.25 million kilowatt-hours. Premier David Eby said the province now focuses on industries that create sustainable employment and strengthen economic growth. He said the new framework supports industrial growth while ensuring responsible power use. eToro Platform Best Crypto Exchange Over 90 top cryptos to trade Regulated by top-tier entities User-friendly trading app 30+ million users 9.9 Visit eToro eToro is a multi-asset investment platform. The value of your investments may go up or down. Your capital is at risk. Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment, and you should not expect to be protected if something goes wrong. Highlights: British Columbia has banned new crypto mining projects to secure electricity for industries that create more jobs. The province will redirect clean power toward AI manufacturing and hydrogen production. The ban aims to protect its hydroelectric supply and support long-term economic stability. British Columbia has announced a permanent ban on new cryptocurrency mining projects. The province said BC Hydro, its government-owned power utility, will no longer accept new grid connection requests from crypto mining companies. Canadian province British Columbia has introduced new legislation aimed at restricting power consumption by AI data centers and imposing a permanent ban on new cryptocurrency mining operations. BC’s move limits crypto mining growth in Canada but doesn’t directly affect… pic.twitter.com/L9FVBtYQLH — Flippin finance (@flippifi) October 21, 2025 Officials confirmed that the policy will replace the temporary moratorium introduced in 2022. They said the permanent rule aims to protect electricity supplies and prevent pressure on the province’s power grid. The decision also seeks to ensure that clean hydroelectric power supports industries that generate more jobs and income for local communities. The Ministry of Energy and Climate Solutions said crypto mining consumes large amounts of power but contributes little to public revenue. Therefore, the province plans to redirect available electricity to sectors with stronger employment and investment potential. Those include hydrogen production, natural gas processing, and manufacturing. Pending mining proposals would have required more than 11,700 gigawatt-hours of power each year. That amount could power hundreds of thousands of homes across the province. The ministry said such demand could affect grid stability and reduce electricity access for households and essential industries. Province Prioritizes Power for High-Value Industries and Job Growth The permanent restriction is part of a broader energy reform program planned for late 2025. These reforms will guide how industrial electricity is distributed across British Columbia. They will also define new rules for emerging high-consumption sectors, including artificial intelligence and data centers. BC Hydro will begin a competitive bidding process to allocate 400 megawatts of power in early next year. Out of that, 300 megawatts will be used in AI projects and 100 megawatts in data centers. This will be done over a period of two years with fair distribution of energy among applicants. Traditional industries like mining, forestry, manufacturing, and oil and gas will have no limit to access to industrial power. Officials said construction on new transmission lines will begin in 2026 and continue until 2034. These projects aim to expand the grid and meet rising energy demand from growing industries. Adrian Dix, Minister of Energy and Climate Solutions, said the policy will protect the province’s clean electricity from overuse. He said the new allocation framework ensures energy supports projects that deliver economic and social value. “Our new approach will make sure our clean energy benefits British Columbians while creating sustainable jobs,” Dix said. Norway is also preparing to restrict new crypto mining centers starting in fall 2025. Officials there plan to prioritize power for industries that create more local economic benefits. BC’s Decision Mirrors Global Shift from Crypto Mining to AI Power Demand British Columbia’s action follows similar steps in provinces like Manitoba and Quebec. The two jurisdictions limited the use of crypto electricity to avoid energy shortages and encourage the distribution of cleaner power. The 2022 initial moratorium followed the increase in crypto mining in British Columbia. It attracted many miners with its cheap and renewable hydroelectricity. However, officials said crypto mining offered few jobs and limited local investment despite its heavy energy use. In Abu Dhabi, the Agriculture and Food Safety Authority prohibited crypto mining on agricultural land. Violators will be fined AED100,000 and may lose power supply and municipal services. BREAKING: Abu Dhabi has prohibited crypto mining on farmland, with violators facing Dh100,000 fines and service suspensions.#uae #crypto #farmland #cryptonews #dubai #cryptoscam #cryptobanned pic.twitter.com/aA29lt8pnp — Kanishk chaudhary (@Kanishk1804) October 2, 2025 In the United States, New York State Senator Liz Krueger introduced a bill to tax crypto mining based on electricity consumption. That plan would apply to miners with annual consumption exceeding 2.25 million kilowatt-hours. Premier David Eby said the province now focuses on industries that create sustainable employment and strengthen economic growth. He said the new framework supports industrial growth while ensuring responsible power use. eToro Platform Best Crypto Exchange Over 90 top cryptos to trade Regulated by top-tier entities User-friendly trading app 30+ million users 9.9 Visit eToro eToro is a multi-asset investment platform. The value of your investments may go up or down. Your capital is at risk. Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment, and you should not expect to be protected if something goes wrong.

British Columbia Blocks New Crypto Mining Projects to Protect Clean Energy Supply

2025/10/21 16:09
4 min read
For feedback or concerns regarding this content, please contact us at crypto.news@mexc.com

Highlights:

  • British Columbia has banned new crypto mining projects to secure electricity for industries that create more jobs.
  • The province will redirect clean power toward AI manufacturing and hydrogen production.
  • The ban aims to protect its hydroelectric supply and support long-term economic stability.

British Columbia has announced a permanent ban on new cryptocurrency mining projects. The province said BC Hydro, its government-owned power utility, will no longer accept new grid connection requests from crypto mining companies.

Officials confirmed that the policy will replace the temporary moratorium introduced in 2022. They said the permanent rule aims to protect electricity supplies and prevent pressure on the province’s power grid. The decision also seeks to ensure that clean hydroelectric power supports industries that generate more jobs and income for local communities.

The Ministry of Energy and Climate Solutions said crypto mining consumes large amounts of power but contributes little to public revenue. Therefore, the province plans to redirect available electricity to sectors with stronger employment and investment potential. Those include hydrogen production, natural gas processing, and manufacturing.

Pending mining proposals would have required more than 11,700 gigawatt-hours of power each year. That amount could power hundreds of thousands of homes across the province. The ministry said such demand could affect grid stability and reduce electricity access for households and essential industries.

Province Prioritizes Power for High-Value Industries and Job Growth

The permanent restriction is part of a broader energy reform program planned for late 2025. These reforms will guide how industrial electricity is distributed across British Columbia. They will also define new rules for emerging high-consumption sectors, including artificial intelligence and data centers.

BC Hydro will begin a competitive bidding process to allocate 400 megawatts of power in early next year. Out of that, 300 megawatts will be used in AI projects and 100 megawatts in data centers. This will be done over a period of two years with fair distribution of energy among applicants.

Traditional industries like mining, forestry, manufacturing, and oil and gas will have no limit to access to industrial power. Officials said construction on new transmission lines will begin in 2026 and continue until 2034. These projects aim to expand the grid and meet rising energy demand from growing industries.

Adrian Dix, Minister of Energy and Climate Solutions, said the policy will protect the province’s clean electricity from overuse. He said the new allocation framework ensures energy supports projects that deliver economic and social value. “Our new approach will make sure our clean energy benefits British Columbians while creating sustainable jobs,” Dix said. Norway is also preparing to restrict new crypto mining centers starting in fall 2025. Officials there plan to prioritize power for industries that create more local economic benefits.

BC’s Decision Mirrors Global Shift from Crypto Mining to AI Power Demand

British Columbia’s action follows similar steps in provinces like Manitoba and Quebec. The two jurisdictions limited the use of crypto electricity to avoid energy shortages and encourage the distribution of cleaner power.

The 2022 initial moratorium followed the increase in crypto mining in British Columbia. It attracted many miners with its cheap and renewable hydroelectricity. However, officials said crypto mining offered few jobs and limited local investment despite its heavy energy use. In Abu Dhabi, the Agriculture and Food Safety Authority prohibited crypto mining on agricultural land. Violators will be fined AED100,000 and may lose power supply and municipal services.

In the United States, New York State Senator Liz Krueger introduced a bill to tax crypto mining based on electricity consumption. That plan would apply to miners with annual consumption exceeding 2.25 million kilowatt-hours. Premier David Eby said the province now focuses on industries that create sustainable employment and strengthen economic growth. He said the new framework supports industrial growth while ensuring responsible power use.

eToro Platform

Best Crypto Exchange

  • Over 90 top cryptos to trade
  • Regulated by top-tier entities
  • User-friendly trading app
  • 30+ million users
9.9
Visit eToro

eToro is a multi-asset investment platform. The value of your investments may go up or down. Your capital is at risk. Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment, and you should not expect to be protected if something goes wrong.

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact crypto.news@mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Tether Backs Ark Labs’ $5.2 Million Bet on Bitcoin’s Stablecoin Revival

Tether Backs Ark Labs’ $5.2 Million Bet on Bitcoin’s Stablecoin Revival

The post Tether Backs Ark Labs’ $5.2 Million Bet on Bitcoin’s Stablecoin Revival appeared on BitcoinEthereumNews.com. In brief Ark Labs secured backing from Tether
Share
BitcoinEthereumNews2026/03/12 21:44
Summarize Any Stock’s Earnings Call in Seconds Using FMP API

Summarize Any Stock’s Earnings Call in Seconds Using FMP API

Turn lengthy earnings call transcripts into one-page insights using the Financial Modeling Prep APIPhoto by Bich Tran Earnings calls are packed with insights. They tell you how a company performed, what management expects in the future, and what analysts are worried about. The challenge is that these transcripts often stretch across dozens of pages, making it tough to separate the key takeaways from the noise. With the right tools, you don’t need to spend hours reading every line. By combining the Financial Modeling Prep (FMP) API with Groq’s lightning-fast LLMs, you can transform any earnings call into a concise summary in seconds. The FMP API provides reliable access to complete transcripts, while Groq handles the heavy lifting of distilling them into clear, actionable highlights. In this article, we’ll build a Python workflow that brings these two together. You’ll see how to fetch transcripts for any stock, prepare the text, and instantly generate a one-page summary. Whether you’re tracking Apple, NVIDIA, or your favorite growth stock, the process works the same — fast, accurate, and ready whenever you are. Fetching Earnings Transcripts with FMP API The first step is to pull the raw transcript data. FMP makes this simple with dedicated endpoints for earnings calls. If you want the latest transcripts across the market, you can use the stable endpoint /stable/earning-call-transcript-latest. For a specific stock, the v3 endpoint lets you request transcripts by symbol, quarter, and year using the pattern: https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={q}&year={y}&apikey=YOUR_API_KEY here’s how you can fetch NVIDIA’s transcript for a given quarter: import requestsAPI_KEY = "your_api_key"symbol = "NVDA"quarter = 2year = 2024url = f"https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={quarter}&year={year}&apikey={API_KEY}"response = requests.get(url)data = response.json()# Inspect the keysprint(data.keys())# Access transcript contentif "content" in data[0]: transcript_text = data[0]["content"] print(transcript_text[:500]) # preview first 500 characters The response typically includes details like the company symbol, quarter, year, and the full transcript text. If you aren’t sure which quarter to query, the “latest transcripts” endpoint is the quickest way to always stay up to date. Cleaning and Preparing Transcript Data Raw transcripts from the API often include long paragraphs, speaker tags, and formatting artifacts. Before sending them to an LLM, it helps to organize the text into a cleaner structure. Most transcripts follow a pattern: prepared remarks from executives first, followed by a Q&A session with analysts. Separating these sections gives better control when prompting the model. In Python, you can parse the transcript and strip out unnecessary characters. A simple way is to split by markers such as “Operator” or “Question-and-Answer.” Once separated, you can create two blocks — Prepared Remarks and Q&A — that will later be summarized independently. This ensures the model handles each section within context and avoids missing important details. Here’s a small example of how you might start preparing the data: import re# Example: using the transcript_text we fetched earliertext = transcript_text# Remove extra spaces and line breaksclean_text = re.sub(r'\s+', ' ', text).strip()# Split sections (this is a heuristic; real-world transcripts vary slightly)if "Question-and-Answer" in clean_text: prepared, qna = clean_text.split("Question-and-Answer", 1)else: prepared, qna = clean_text, ""print("Prepared Remarks Preview:\n", prepared[:500])print("\nQ&A Preview:\n", qna[:500]) With the transcript cleaned and divided, you’re ready to feed it into Groq’s LLM. Chunking may be necessary if the text is very long. A good approach is to break it into segments of a few thousand tokens, summarize each part, and then merge the summaries in a final pass. Summarizing with Groq LLM Now that the transcript is clean and split into Prepared Remarks and Q&A, we’ll use Groq to generate a crisp one-pager. The idea is simple: summarize each section separately (for focus and accuracy), then synthesize a final brief. Prompt design (concise and factual) Use a short, repeatable template that pushes for neutral, investor-ready language: You are an equity research analyst. Summarize the following earnings call sectionfor {symbol} ({quarter} {year}). Be factual and concise.Return:1) TL;DR (3–5 bullets)2) Results vs. guidance (what improved/worsened)3) Forward outlook (specific statements)4) Risks / watch-outs5) Q&A takeaways (if present)Text:<<<{section_text}>>> Python: calling Groq and getting a clean summary Groq provides an OpenAI-compatible API. Set your GROQ_API_KEY and pick a fast, high-quality model (e.g., a Llama-3.1 70B variant). We’ll write a helper to summarize any text block, then run it for both sections and merge. import osimport textwrapimport requestsGROQ_API_KEY = os.environ.get("GROQ_API_KEY") or "your_groq_api_key"GROQ_BASE_URL = "https://api.groq.com/openai/v1" # OpenAI-compatibleMODEL = "llama-3.1-70b" # choose your preferred Groq modeldef call_groq(prompt, temperature=0.2, max_tokens=1200): url = f"{GROQ_BASE_URL}/chat/completions" headers = { "Authorization": f"Bearer {GROQ_API_KEY}", "Content-Type": "application/json", } payload = { "model": MODEL, "messages": [ {"role": "system", "content": "You are a precise, neutral equity research analyst."}, {"role": "user", "content": prompt}, ], "temperature": temperature, "max_tokens": max_tokens, } r = requests.post(url, headers=headers, json=payload, timeout=60) r.raise_for_status() return r.json()["choices"][0]["message"]["content"].strip()def build_prompt(section_text, symbol, quarter, year): template = """ You are an equity research analyst. Summarize the following earnings call section for {symbol} ({quarter} {year}). Be factual and concise. Return: 1) TL;DR (3–5 bullets) 2) Results vs. guidance (what improved/worsened) 3) Forward outlook (specific statements) 4) Risks / watch-outs 5) Q&A takeaways (if present) Text: <<< {section_text} >>> """ return textwrap.dedent(template).format( symbol=symbol, quarter=quarter, year=year, section_text=section_text )def summarize_section(section_text, symbol="NVDA", quarter="Q2", year="2024"): if not section_text or section_text.strip() == "": return "(No content found for this section.)" prompt = build_prompt(section_text, symbol, quarter, year) return call_groq(prompt)# Example usage with the cleaned splits from Section 3prepared_summary = summarize_section(prepared, symbol="NVDA", quarter="Q2", year="2024")qna_summary = summarize_section(qna, symbol="NVDA", quarter="Q2", year="2024")final_one_pager = f"""# {symbol} Earnings One-Pager — {quarter} {year}## Prepared Remarks — Key Points{prepared_summary}## Q&A Highlights{qna_summary}""".strip()print(final_one_pager[:1200]) # preview Tips that keep quality high: Keep temperature low (≈0.2) for factual tone. If a section is extremely long, chunk at ~5–8k tokens, summarize each chunk with the same prompt, then ask the model to merge chunk summaries into one section summary before producing the final one-pager. If you also fetched headline numbers (EPS/revenue, guidance) earlier, prepend them to the prompt as brief context to help the model anchor on the right outcomes. Building the End-to-End Pipeline At this point, we have all the building blocks: the FMP API to fetch transcripts, a cleaning step to structure the data, and Groq LLM to generate concise summaries. The final step is to connect everything into a single workflow that can take any ticker and return a one-page earnings call summary. The flow looks like this: Input a stock ticker (for example, NVDA). Use FMP to fetch the latest transcript. Clean and split the text into Prepared Remarks and Q&A. Send each section to Groq for summarization. Merge the outputs into a neatly formatted earnings one-pager. Here’s how it comes together in Python: def summarize_earnings_call(symbol, quarter, year, api_key, groq_key): # Step 1: Fetch transcript from FMP url = f"https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={quarter}&year={year}&apikey={api_key}" resp = requests.get(url) resp.raise_for_status() data = resp.json() if not data or "content" not in data[0]: return f"No transcript found for {symbol} {quarter} {year}" text = data[0]["content"] # Step 2: Clean and split clean_text = re.sub(r'\s+', ' ', text).strip() if "Question-and-Answer" in clean_text: prepared, qna = clean_text.split("Question-and-Answer", 1) else: prepared, qna = clean_text, "" # Step 3: Summarize with Groq prepared_summary = summarize_section(prepared, symbol, quarter, year) qna_summary = summarize_section(qna, symbol, quarter, year) # Step 4: Merge into final one-pager return f"""# {symbol} Earnings One-Pager — {quarter} {year}## Prepared Remarks{prepared_summary}## Q&A Highlights{qna_summary}""".strip()# Example runprint(summarize_earnings_call("NVDA", 2, 2024, API_KEY, GROQ_API_KEY)) With this setup, generating a summary becomes as simple as calling one function with a ticker and date. You can run it inside a notebook, integrate it into a research workflow, or even schedule it to trigger after each new earnings release. Free Stock Market API and Financial Statements API... Conclusion Earnings calls no longer need to feel overwhelming. With the Financial Modeling Prep API, you can instantly access any company’s transcript, and with Groq LLM, you can turn that raw text into a sharp, actionable summary in seconds. This pipeline saves hours of reading and ensures you never miss the key results, guidance, or risks hidden in lengthy remarks. Whether you track tech giants like NVIDIA or smaller growth stocks, the process is the same — fast, reliable, and powered by the flexibility of FMP’s data. Summarize Any Stock’s Earnings Call in Seconds Using FMP API was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/09/18 14:40
PayPal USD Expands to TRON Network via LayerZero

PayPal USD Expands to TRON Network via LayerZero

The post PayPal USD Expands to TRON Network via LayerZero appeared on BitcoinEthereumNews.com. This content is provided by a sponsor. PRESS RELEASE. September 18, 2025 – Geneva, Switzerland – TRON DAO, the community-governed DAO dedicated to accelerating the decentralization of the internet through blockchain technology and decentralized applications (dApps), announced today that PayPal USD will be available on the TRON network through Stargate Hydra as a permissionless token, […] Source: https://news.bitcoin.com/paypal-usd-expands-to-tron-network-via-layerzero/
Share
BitcoinEthereumNews2025/09/18 23:12