ETH is one of the worst-hit cryptocurrencies by the latest massive selloffs. It registered one of its biggest losses, dropping to levels not seen in over a month, and has yet to fully recover. ETH recent price action revealed that investors panicked, resulting in increased trading volume due to selling pressure. The asset experienced a nearly 200% increase in trading volume over the last 24 hours.  The fear and greed index shows that the week is kicking off on a bearish note as the metric retraced, down one point from the previous day. Additionally, calls for altseason are being drowned out as the index is at 60, down a few points from its peak last week. Nonetheless, the global cryptocurrency market cap retraced from $3.96 trillion to $3.78 trillion. Although the value has slightly improved, it is still down by almost 3% over the last 17 hours. However, indicators on the 1-day chart paint a grim picture of the next price action.  The moving average convergence divergence displays a bearish crossover, suggesting further price decline this week.  A review of the economic calendar reveals two major events that could significantly impact the market. However, in the event they come out positive, they may not cause an extended hike. Nonetheless, some assets are pulling back some of the losses. Let’s see how some of the top 10 assets perform in the coming days. BTC/USD Bitcoin is trading at $112,671 following its retracement from $115,435. Although it slipped lower a few hours ago, prices are lingering above $112k, suggesting it trades within a small accumulation pocket.  The 4-hour chart effectively captures the range-bound movement, noting that it began in the session at 8:00 UTC. Its last two candles show the price moving between $112,300 and $113,500, and it continues within the same bounds during the current candle. However, the relative strength index dropped below 30 at the height of the selloffs. The metric remains below the mark at the time, indicating that the apex coin is oversold and may see a buyback soon. Readings from RSI suggest impending recovery. If this happens, BTC may surge, breaking above $114k. Previous price movement indicates that the coin is currently trading at a level with significant demand concentration, affirming the possibility of an uptrend afterward. ETH/USD Ethereum experienced its largest decline of the day in the session starting at 4:00 UTC. It dropped from $4,308 to $4,058 but slightly recovered, ending the session at $4,195. Nonetheless, the next two candles after this significant move showed a drop in volatility. The trend of low volatility persists, and the altcoin shows no signs of a change in its price trajectory.  A look at the relative strength index indicates that ETH is poised to rebound. The metric dropped to a low of 18 a few hours ago, indicating that the asset is oversold. Additionally, readings from the bollinger bands reveal that the coin is trading outside the bands. Both indicators support the assertion of an impending surge in upward momentum. If this holds, ETH will surge, reclaiming the short-term support at $4,281. It may continue to rise, reaching $4,400 in the coming days. XRP/USD XRP is seeing a significant pullback following its recent decline to $2.69. It dropped from $2.90 and ended the session with losses exceeding 3% amid notable buyback. Nonetheless, the following candles after this event have been green.  The trend is ongoing at the time of writing, and the asset is trading at $2.86. Its recent price suggests a rise in buying pressure over the last 12 hours. The relative strength index is rising in response to the unfolding trend. Similar to ETH, the metric dropped below 30 but is currently at 32. RSI points to an increased likelihood of a further upward climb. The coin will reclaim $2.95, a critical mark. BNB/USD The 4-hour chart reveals that BNB has been in decline since the start of the day. It has printed no green candle during this period, dropping from $1,051 to a low of $985.  Nonetheless, the chart suggests further retracements as the coin is yet to find support. It broke below bollinger’s middle band and is edging closer to the lower band. Additionally, the relative strength index shows room for further retracement. A closer look at the chart shows notable demand concentration at $975. The coin has previously rebounded and seen notable accumulation around this mark. It may halt its downtrend at this mark. SOL/USD Solana is trading at $221 after its latest drop to $218. It currently prints a doji on the 4-hour chart but indicates slight improvement. It remains stagnant mainly after the event, starting at 4:00 UTC, when the coin retraced from $232 to $213 but rebounded. Nonetheless, RSI indicates that, like ETH, SOL is oversold. The principle guiding this metric suggests a high likelihood of further upward movement. If this plays out, the coin must decisively flip $222. Previous price movements indicate that the altcoin surged higher after breaking this level. Additionally, it may reclaim $230 afterward. DOGE/USD DOGE is trading at $0.240 at the time of writing. It previously retraced from $0.250 to $0.230, indicating that its recent price represents a significant buyback after it fell to its low. Nonetheless, a look at trading actions over the last eight hours has been largely stagnant. The memecoin has yet to experience any significant pullback since the events that occurred during the session starting at 4:00 UTC. Additionally, the asset is trading close to bollinger’s middle band, suggesting an impending recovery. A closer look at the chart shows that the coin is trading at a level with significant demand concentration. The bulls may attempt to stage a rally from this mark to $0.250. ADA/USD The 4-hour chart shows the ADA grappling with notable selling pressure at $0.82. The latest trend follows two consecutive sessions with notable retracement. The asset lost nearly 8% in eight hours, despite rebounding to $0.78. Nonetheless, it dropped below the bollinger bands a during that period and is yet to recover. The last two candles show no notable change in values, and the trend continues, as evidenced by a doji at the time of writing. A closer look at the chart shows that the coin is trading at a level with significant demand concentration. The bulls may stage an attempt at $0.85 from this mark. The post Price Predictions 9/22: BTC, ETH, XRP, BNB, SOL, DOGE, ADA appeared first on Cointab.ETH is one of the worst-hit cryptocurrencies by the latest massive selloffs. It registered one of its biggest losses, dropping to levels not seen in over a month, and has yet to fully recover. ETH recent price action revealed that investors panicked, resulting in increased trading volume due to selling pressure. The asset experienced a nearly 200% increase in trading volume over the last 24 hours.  The fear and greed index shows that the week is kicking off on a bearish note as the metric retraced, down one point from the previous day. Additionally, calls for altseason are being drowned out as the index is at 60, down a few points from its peak last week. Nonetheless, the global cryptocurrency market cap retraced from $3.96 trillion to $3.78 trillion. Although the value has slightly improved, it is still down by almost 3% over the last 17 hours. However, indicators on the 1-day chart paint a grim picture of the next price action.  The moving average convergence divergence displays a bearish crossover, suggesting further price decline this week.  A review of the economic calendar reveals two major events that could significantly impact the market. However, in the event they come out positive, they may not cause an extended hike. Nonetheless, some assets are pulling back some of the losses. Let’s see how some of the top 10 assets perform in the coming days. BTC/USD Bitcoin is trading at $112,671 following its retracement from $115,435. Although it slipped lower a few hours ago, prices are lingering above $112k, suggesting it trades within a small accumulation pocket.  The 4-hour chart effectively captures the range-bound movement, noting that it began in the session at 8:00 UTC. Its last two candles show the price moving between $112,300 and $113,500, and it continues within the same bounds during the current candle. However, the relative strength index dropped below 30 at the height of the selloffs. The metric remains below the mark at the time, indicating that the apex coin is oversold and may see a buyback soon. Readings from RSI suggest impending recovery. If this happens, BTC may surge, breaking above $114k. Previous price movement indicates that the coin is currently trading at a level with significant demand concentration, affirming the possibility of an uptrend afterward. ETH/USD Ethereum experienced its largest decline of the day in the session starting at 4:00 UTC. It dropped from $4,308 to $4,058 but slightly recovered, ending the session at $4,195. Nonetheless, the next two candles after this significant move showed a drop in volatility. The trend of low volatility persists, and the altcoin shows no signs of a change in its price trajectory.  A look at the relative strength index indicates that ETH is poised to rebound. The metric dropped to a low of 18 a few hours ago, indicating that the asset is oversold. Additionally, readings from the bollinger bands reveal that the coin is trading outside the bands. Both indicators support the assertion of an impending surge in upward momentum. If this holds, ETH will surge, reclaiming the short-term support at $4,281. It may continue to rise, reaching $4,400 in the coming days. XRP/USD XRP is seeing a significant pullback following its recent decline to $2.69. It dropped from $2.90 and ended the session with losses exceeding 3% amid notable buyback. Nonetheless, the following candles after this event have been green.  The trend is ongoing at the time of writing, and the asset is trading at $2.86. Its recent price suggests a rise in buying pressure over the last 12 hours. The relative strength index is rising in response to the unfolding trend. Similar to ETH, the metric dropped below 30 but is currently at 32. RSI points to an increased likelihood of a further upward climb. The coin will reclaim $2.95, a critical mark. BNB/USD The 4-hour chart reveals that BNB has been in decline since the start of the day. It has printed no green candle during this period, dropping from $1,051 to a low of $985.  Nonetheless, the chart suggests further retracements as the coin is yet to find support. It broke below bollinger’s middle band and is edging closer to the lower band. Additionally, the relative strength index shows room for further retracement. A closer look at the chart shows notable demand concentration at $975. The coin has previously rebounded and seen notable accumulation around this mark. It may halt its downtrend at this mark. SOL/USD Solana is trading at $221 after its latest drop to $218. It currently prints a doji on the 4-hour chart but indicates slight improvement. It remains stagnant mainly after the event, starting at 4:00 UTC, when the coin retraced from $232 to $213 but rebounded. Nonetheless, RSI indicates that, like ETH, SOL is oversold. The principle guiding this metric suggests a high likelihood of further upward movement. If this plays out, the coin must decisively flip $222. Previous price movements indicate that the altcoin surged higher after breaking this level. Additionally, it may reclaim $230 afterward. DOGE/USD DOGE is trading at $0.240 at the time of writing. It previously retraced from $0.250 to $0.230, indicating that its recent price represents a significant buyback after it fell to its low. Nonetheless, a look at trading actions over the last eight hours has been largely stagnant. The memecoin has yet to experience any significant pullback since the events that occurred during the session starting at 4:00 UTC. Additionally, the asset is trading close to bollinger’s middle band, suggesting an impending recovery. A closer look at the chart shows that the coin is trading at a level with significant demand concentration. The bulls may attempt to stage a rally from this mark to $0.250. ADA/USD The 4-hour chart shows the ADA grappling with notable selling pressure at $0.82. The latest trend follows two consecutive sessions with notable retracement. The asset lost nearly 8% in eight hours, despite rebounding to $0.78. Nonetheless, it dropped below the bollinger bands a during that period and is yet to recover. The last two candles show no notable change in values, and the trend continues, as evidenced by a doji at the time of writing. A closer look at the chart shows that the coin is trading at a level with significant demand concentration. The bulls may stage an attempt at $0.85 from this mark. The post Price Predictions 9/22: BTC, ETH, XRP, BNB, SOL, DOGE, ADA appeared first on Cointab.

Price Predictions 9/22: BTC, ETH, XRP, BNB, SOL, DOGE, ADA

2025/09/23 02:33

ETH is one of the worst-hit cryptocurrencies by the latest massive selloffs. It registered one of its biggest losses, dropping to levels not seen in over a month, and has yet to fully recover.

ETH recent price action revealed that investors panicked, resulting in increased trading volume due to selling pressure. The asset experienced a nearly 200% increase in trading volume over the last 24 hours. 

The fear and greed index shows that the week is kicking off on a bearish note as the metric retraced, down one point from the previous day. Additionally, calls for altseason are being drowned out as the index is at 60, down a few points from its peak last week.

Nonetheless, the global cryptocurrency market cap retraced from $3.96 trillion to $3.78 trillion. Although the value has slightly improved, it is still down by almost 3% over the last 17 hours. However, indicators on the 1-day chart paint a grim picture of the next price action. 

The moving average convergence divergence displays a bearish crossover, suggesting further price decline this week. 

A review of the economic calendar reveals two major events that could significantly impact the market. However, in the event they come out positive, they may not cause an extended hike. Nonetheless, some assets are pulling back some of the losses. Let’s see how some of the top 10 assets perform in the coming days.

BTC/USD

Bitcoin is trading at $112,671 following its retracement from $115,435. Although it slipped lower a few hours ago, prices are lingering above $112k, suggesting it trades within a small accumulation pocket. 

The 4-hour chart effectively captures the range-bound movement, noting that it began in the session at 8:00 UTC. Its last two candles show the price moving between $112,300 and $113,500, and it continues within the same bounds during the current candle.

However, the relative strength index dropped below 30 at the height of the selloffs. The metric remains below the mark at the time, indicating that the apex coin is oversold and may see a buyback soon.

Readings from RSI suggest impending recovery. If this happens, BTC may surge, breaking above $114k. Previous price movement indicates that the coin is currently trading at a level with significant demand concentration, affirming the possibility of an uptrend afterward.

ETH/USD

Ethereum experienced its largest decline of the day in the session starting at 4:00 UTC. It dropped from $4,308 to $4,058 but slightly recovered, ending the session at $4,195. Nonetheless, the next two candles after this significant move showed a drop in volatility. The trend of low volatility persists, and the altcoin shows no signs of a change in its price trajectory. 

A look at the relative strength index indicates that ETH is poised to rebound. The metric dropped to a low of 18 a few hours ago, indicating that the asset is oversold. Additionally, readings from the bollinger bands reveal that the coin is trading outside the bands.

Both indicators support the assertion of an impending surge in upward momentum. If this holds, ETH will surge, reclaiming the short-term support at $4,281. It may continue to rise, reaching $4,400 in the coming days.

XRP/USD

XRP is seeing a significant pullback following its recent decline to $2.69. It dropped from $2.90 and ended the session with losses exceeding 3% amid notable buyback. Nonetheless, the following candles after this event have been green. 

The trend is ongoing at the time of writing, and the asset is trading at $2.86. Its recent price suggests a rise in buying pressure over the last 12 hours. The relative strength index is rising in response to the unfolding trend. Similar to ETH, the metric dropped below 30 but is currently at 32.

RSI points to an increased likelihood of a further upward climb. The coin will reclaim $2.95, a critical mark.

BNB/USD

The 4-hour chart reveals that BNB has been in decline since the start of the day. It has printed no green candle during this period, dropping from $1,051 to a low of $985. 

Nonetheless, the chart suggests further retracements as the coin is yet to find support. It broke below bollinger’s middle band and is edging closer to the lower band. Additionally, the relative strength index shows room for further retracement.

A closer look at the chart shows notable demand concentration at $975. The coin has previously rebounded and seen notable accumulation around this mark. It may halt its downtrend at this mark.

SOL/USD

Solana is trading at $221 after its latest drop to $218. It currently prints a doji on the 4-hour chart but indicates slight improvement. It remains stagnant mainly after the event, starting at 4:00 UTC, when the coin retraced from $232 to $213 but rebounded.

Nonetheless, RSI indicates that, like ETH, SOL is oversold. The principle guiding this metric suggests a high likelihood of further upward movement. If this plays out, the coin must decisively flip $222. Previous price movements indicate that the altcoin surged higher after breaking this level. Additionally, it may reclaim $230 afterward.

DOGE/USD

DOGE is trading at $0.240 at the time of writing. It previously retraced from $0.250 to $0.230, indicating that its recent price represents a significant buyback after it fell to its low.

Nonetheless, a look at trading actions over the last eight hours has been largely stagnant. The memecoin has yet to experience any significant pullback since the events that occurred during the session starting at 4:00 UTC. Additionally, the asset is trading close to bollinger’s middle band, suggesting an impending recovery.

A closer look at the chart shows that the coin is trading at a level with significant demand concentration. The bulls may attempt to stage a rally from this mark to $0.250.

ADA/USD

The 4-hour chart shows the ADA grappling with notable selling pressure at $0.82. The latest trend follows two consecutive sessions with notable retracement. The asset lost nearly 8% in eight hours, despite rebounding to $0.78.

Nonetheless, it dropped below the bollinger bands a during that period and is yet to recover. The last two candles show no notable change in values, and the trend continues, as evidenced by a doji at the time of writing.

A closer look at the chart shows that the coin is trading at a level with significant demand concentration. The bulls may stage an attempt at $0.85 from this mark.

The post Price Predictions 9/22: BTC, ETH, XRP, BNB, SOL, DOGE, ADA appeared first on Cointab.

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 service@support.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.
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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
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