In 2021, Coinbase listed on Nasdaq, its market capitalization once exceeding $85 billion, marking a significant event in the traditional capital market's acceptance of the crypto world. Three years later, on the other side of the ocean, HashKey, an Asian compliant digital asset platform, officially submitted its listing application to the Hong Kong Stock Exchange. As the bells of Wall Street and the gongs of Victoria Harbour face each other across the sea, an East-West dialogue about the future of digital finance is unfolding. Though separated by the sea, our core values are connected. Essentially, HashKey and Coinbase play the same role: both are key bridges connecting the traditional financial world with the new crypto world. They have both chosen the seemingly most difficult yet most sustainable path—compliant operation. Coinbase spent eight years working with US regulators before finally gaining mainstream recognition; HashKey, on the other hand, incorporated compliance into its DNA from the outset, obtaining comprehensive licenses in multiple jurisdictions including Hong Kong, Singapore, and Bermuda. They both understand one principle: in the highly regulated field of finance, compliance is not a limitation, but a passport to mainstream acceptance. While many platforms are still operating in a gray area, these two companies have already built safe and compliant entry channels for institutional funds. The prospectus shows that HashKey's platform assets are close to HK$20 billion, with institutional clients dominating. This is remarkably similar to Coinbase's early development path—first winning the trust of the most cautious institutional investors, and then expanding into a broader market. They both address the same core issue: how to allow capital from the traditional world to safely and legally enter the crypto world. Hong Kong's Crypto Market's "Coming of Age" HashKey's IPO push coincided with the harvest period of Hong Kong's virtual asset policies. This was no accident, but an inevitability—the maturity of the company and the maturity of the market occurred simultaneously, jointly completing a solemn "coming-of-age ceremony." Over the past few years, Hong Kong's regulatory framework for virtual assets has evolved from nothing to something, from exploration to maturity. The release of the "Policy Declaration on the Development of Virtual Assets" in 2022 and the formal implementation of the licensing system in 2023 have laid a clear regulatory foundation for the market. HashKey is a benchmark company that has grown up in this regulatory environment. Unlike the US market where Coinbase operates, Hong Kong follows a "rules-first" approach. In the US, innovation often precedes regulation; in Hong Kong, the regulatory framework is established first, then the market is guided to innovate within those rules. Both models have their advantages and disadvantages, but they both aim at the same goal: to unleash innovation while keeping risks under control. HashKey's business strategy also reflects its innovative exploration within this regulatory framework. From trading to custody, from staking services to asset management, and then to its self-developed HashKey Chain, it is building a complete digital asset ecosystem. This is not only a commercial expansion, but also a comprehensive validation of Hong Kong's virtual asset service capabilities. From Wilderness to Order Looking back at the development of the crypto industry, we have witnessed a transformation from a chaotic state to an orderly one. Coinbase's IPO proved that crypto companies can meet the scale requirements of traditional capital markets, while HashKey's IPO process demonstrates that world-class digital asset platforms can also be cultivated in the financial center of the East. Hong Kong's unique advantages lie in its geographical location, backed by mainland China and facing the world, as well as its deep-rooted rule of law and international financial experience. As global capital seeks entry into the Asian crypto market, Hong Kong offers a solution that combines international standards with a Chinese understanding. If HashKey successfully goes public, its significance will extend beyond the capitalization process of a single company. It will demonstrate to the world that there is another path to success beyond the Western-dominated crypto narrative—a path that combines Eastern regulatory wisdom with global financial innovation. The capital market journeys of the two major crypto trading platforms in the East and West, seemingly parallel, are in fact interconnected. They jointly demonstrate a trend: crypto finance is moving from the periphery to the center, from unregulated growth to standardization. As Coinbase proves its scale on Nasdaq and HashKey validates its path on the Hong Kong Stock Exchange, we are witnessing a global industry blossoming in different market environments, each with its own distinct yet shared origin. Hong Kong's crypto story may have only just begun. But this chapter already outlines the self-renewal of an international financial center in the digital age. As tradition and modernity converge, and as Eastern wisdom and global innovation collide, Hong Kong is quietly completing its crucial leap from an international financial center to an international digital financial center.In 2021, Coinbase listed on Nasdaq, its market capitalization once exceeding $85 billion, marking a significant event in the traditional capital market's acceptance of the crypto world. Three years later, on the other side of the ocean, HashKey, an Asian compliant digital asset platform, officially submitted its listing application to the Hong Kong Stock Exchange. As the bells of Wall Street and the gongs of Victoria Harbour face each other across the sea, an East-West dialogue about the future of digital finance is unfolding. Though separated by the sea, our core values are connected. Essentially, HashKey and Coinbase play the same role: both are key bridges connecting the traditional financial world with the new crypto world. They have both chosen the seemingly most difficult yet most sustainable path—compliant operation. Coinbase spent eight years working with US regulators before finally gaining mainstream recognition; HashKey, on the other hand, incorporated compliance into its DNA from the outset, obtaining comprehensive licenses in multiple jurisdictions including Hong Kong, Singapore, and Bermuda. They both understand one principle: in the highly regulated field of finance, compliance is not a limitation, but a passport to mainstream acceptance. While many platforms are still operating in a gray area, these two companies have already built safe and compliant entry channels for institutional funds. The prospectus shows that HashKey's platform assets are close to HK$20 billion, with institutional clients dominating. This is remarkably similar to Coinbase's early development path—first winning the trust of the most cautious institutional investors, and then expanding into a broader market. They both address the same core issue: how to allow capital from the traditional world to safely and legally enter the crypto world. Hong Kong's Crypto Market's "Coming of Age" HashKey's IPO push coincided with the harvest period of Hong Kong's virtual asset policies. This was no accident, but an inevitability—the maturity of the company and the maturity of the market occurred simultaneously, jointly completing a solemn "coming-of-age ceremony." Over the past few years, Hong Kong's regulatory framework for virtual assets has evolved from nothing to something, from exploration to maturity. The release of the "Policy Declaration on the Development of Virtual Assets" in 2022 and the formal implementation of the licensing system in 2023 have laid a clear regulatory foundation for the market. HashKey is a benchmark company that has grown up in this regulatory environment. Unlike the US market where Coinbase operates, Hong Kong follows a "rules-first" approach. In the US, innovation often precedes regulation; in Hong Kong, the regulatory framework is established first, then the market is guided to innovate within those rules. Both models have their advantages and disadvantages, but they both aim at the same goal: to unleash innovation while keeping risks under control. HashKey's business strategy also reflects its innovative exploration within this regulatory framework. From trading to custody, from staking services to asset management, and then to its self-developed HashKey Chain, it is building a complete digital asset ecosystem. This is not only a commercial expansion, but also a comprehensive validation of Hong Kong's virtual asset service capabilities. From Wilderness to Order Looking back at the development of the crypto industry, we have witnessed a transformation from a chaotic state to an orderly one. Coinbase's IPO proved that crypto companies can meet the scale requirements of traditional capital markets, while HashKey's IPO process demonstrates that world-class digital asset platforms can also be cultivated in the financial center of the East. Hong Kong's unique advantages lie in its geographical location, backed by mainland China and facing the world, as well as its deep-rooted rule of law and international financial experience. As global capital seeks entry into the Asian crypto market, Hong Kong offers a solution that combines international standards with a Chinese understanding. If HashKey successfully goes public, its significance will extend beyond the capitalization process of a single company. It will demonstrate to the world that there is another path to success beyond the Western-dominated crypto narrative—a path that combines Eastern regulatory wisdom with global financial innovation. The capital market journeys of the two major crypto trading platforms in the East and West, seemingly parallel, are in fact interconnected. They jointly demonstrate a trend: crypto finance is moving from the periphery to the center, from unregulated growth to standardization. As Coinbase proves its scale on Nasdaq and HashKey validates its path on the Hong Kong Stock Exchange, we are witnessing a global industry blossoming in different market environments, each with its own distinct yet shared origin. Hong Kong's crypto story may have only just begun. But this chapter already outlines the self-renewal of an international financial center in the digital age. As tradition and modernity converge, and as Eastern wisdom and global innovation collide, Hong Kong is quietly completing its crucial leap from an international financial center to an international digital financial center.

"Eastern Coinbase" Prologue: HashKey's Listing, Hong Kong's Crypto Market's Coming-of-Age Ceremony

2025/12/02 17:56

In 2021, Coinbase listed on Nasdaq, its market capitalization once exceeding $85 billion, marking a significant event in the traditional capital market's acceptance of the crypto world. Three years later, on the other side of the ocean, HashKey, an Asian compliant digital asset platform, officially submitted its listing application to the Hong Kong Stock Exchange. As the bells of Wall Street and the gongs of Victoria Harbour face each other across the sea, an East-West dialogue about the future of digital finance is unfolding.

Though separated by the sea, our core values are connected.

Essentially, HashKey and Coinbase play the same role: both are key bridges connecting the traditional financial world with the new crypto world. They have both chosen the seemingly most difficult yet most sustainable path—compliant operation.

Coinbase spent eight years working with US regulators before finally gaining mainstream recognition; HashKey, on the other hand, incorporated compliance into its DNA from the outset, obtaining comprehensive licenses in multiple jurisdictions including Hong Kong, Singapore, and Bermuda. They both understand one principle: in the highly regulated field of finance, compliance is not a limitation, but a passport to mainstream acceptance. While many platforms are still operating in a gray area, these two companies have already built safe and compliant entry channels for institutional funds.

The prospectus shows that HashKey's platform assets are close to HK$20 billion, with institutional clients dominating. This is remarkably similar to Coinbase's early development path—first winning the trust of the most cautious institutional investors, and then expanding into a broader market. They both address the same core issue: how to allow capital from the traditional world to safely and legally enter the crypto world.

Hong Kong's Crypto Market's "Coming of Age"

HashKey's IPO push coincided with the harvest period of Hong Kong's virtual asset policies. This was no accident, but an inevitability—the maturity of the company and the maturity of the market occurred simultaneously, jointly completing a solemn "coming-of-age ceremony."

Over the past few years, Hong Kong's regulatory framework for virtual assets has evolved from nothing to something, from exploration to maturity. The release of the "Policy Declaration on the Development of Virtual Assets" in 2022 and the formal implementation of the licensing system in 2023 have laid a clear regulatory foundation for the market. HashKey is a benchmark company that has grown up in this regulatory environment.

Unlike the US market where Coinbase operates, Hong Kong follows a "rules-first" approach. In the US, innovation often precedes regulation; in Hong Kong, the regulatory framework is established first, then the market is guided to innovate within those rules. Both models have their advantages and disadvantages, but they both aim at the same goal: to unleash innovation while keeping risks under control.

HashKey's business strategy also reflects its innovative exploration within this regulatory framework. From trading to custody, from staking services to asset management, and then to its self-developed HashKey Chain, it is building a complete digital asset ecosystem. This is not only a commercial expansion, but also a comprehensive validation of Hong Kong's virtual asset service capabilities.

From Wilderness to Order

Looking back at the development of the crypto industry, we have witnessed a transformation from a chaotic state to an orderly one. Coinbase's IPO proved that crypto companies can meet the scale requirements of traditional capital markets, while HashKey's IPO process demonstrates that world-class digital asset platforms can also be cultivated in the financial center of the East.

Hong Kong's unique advantages lie in its geographical location, backed by mainland China and facing the world, as well as its deep-rooted rule of law and international financial experience. As global capital seeks entry into the Asian crypto market, Hong Kong offers a solution that combines international standards with a Chinese understanding.

If HashKey successfully goes public, its significance will extend beyond the capitalization process of a single company. It will demonstrate to the world that there is another path to success beyond the Western-dominated crypto narrative—a path that combines Eastern regulatory wisdom with global financial innovation.

The capital market journeys of the two major crypto trading platforms in the East and West, seemingly parallel, are in fact interconnected. They jointly demonstrate a trend: crypto finance is moving from the periphery to the center, from unregulated growth to standardization. As Coinbase proves its scale on Nasdaq and HashKey validates its path on the Hong Kong Stock Exchange, we are witnessing a global industry blossoming in different market environments, each with its own distinct yet shared origin.

Hong Kong's crypto story may have only just begun. But this chapter already outlines the self-renewal of an international financial center in the digital age. As tradition and modernity converge, and as Eastern wisdom and global innovation collide, Hong Kong is quietly completing its crucial leap from an international financial center to an international digital financial center.

Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen service@support.mexc.com ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.

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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
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Medium2025/09/18 14:40