The post WLFI chart and technical analysis appeared on BitcoinEthereumNews.com. In a slightly improving crypto market context, the price of WLFI today is in a technical holding pattern around a key level, without yet choosing a clear direction. WLFI Price and Market Context WLFI Price Today (WLFIUSDT): ~0.15 USDT D1 Regime: neutral H1 Regime: neutral, with a bit more short-term push 15m Regime: neutral but with signs of intraday overextension WLFIUSDT is moving sideways around 0.15 USDT, with the price almost glued to its averages and Bollinger Bands. The daily picture is clearly neutral: there is no strong directional trend, but a phase of congestion that could turn into accumulation before a broader move, or into distribution if sales prevail on key supports. In this context, the dominant force for now is price stagnation: little directionality, compressed volatility, and flat indicators. These phases often precede the next significant leg, but force traders to carefully choose very clear invalidation levels. The overall crypto market, with a total capitalization over 3.2 trillion dollars and Bitcoin dominating at 57%, is in slight expansion (+2.57% approximately in the last 24 hours). However, the Fear & Greed Index at 22 (Extreme Fear) still indicates strong caution among investors. WLFI, however, is not currently taking advantage of this general push: the price remains anchored to its pivot area, without a breakout. Practical reading: the macro context is not hostile, but WLFI has not yet chosen a direction. For those considering whether to buy WLFI, the priority is to understand whether this price compression will break upwards or downwards. Multi-Timeframe Analysis WLFIUSDT Daily (D1): Main Direction and Dominant Scenario Price: 0.15 USDT EMA 20: 0.15 USDT EMA 50: 0.15 USDT EMA 200: 0.19 USDT The EMA for the short and medium term (20 and 50 days) are perfectly overlapping the price, while the EMA 200 remains higher,… The post WLFI chart and technical analysis appeared on BitcoinEthereumNews.com. In a slightly improving crypto market context, the price of WLFI today is in a technical holding pattern around a key level, without yet choosing a clear direction. WLFI Price and Market Context WLFI Price Today (WLFIUSDT): ~0.15 USDT D1 Regime: neutral H1 Regime: neutral, with a bit more short-term push 15m Regime: neutral but with signs of intraday overextension WLFIUSDT is moving sideways around 0.15 USDT, with the price almost glued to its averages and Bollinger Bands. The daily picture is clearly neutral: there is no strong directional trend, but a phase of congestion that could turn into accumulation before a broader move, or into distribution if sales prevail on key supports. In this context, the dominant force for now is price stagnation: little directionality, compressed volatility, and flat indicators. These phases often precede the next significant leg, but force traders to carefully choose very clear invalidation levels. The overall crypto market, with a total capitalization over 3.2 trillion dollars and Bitcoin dominating at 57%, is in slight expansion (+2.57% approximately in the last 24 hours). However, the Fear & Greed Index at 22 (Extreme Fear) still indicates strong caution among investors. WLFI, however, is not currently taking advantage of this general push: the price remains anchored to its pivot area, without a breakout. Practical reading: the macro context is not hostile, but WLFI has not yet chosen a direction. For those considering whether to buy WLFI, the priority is to understand whether this price compression will break upwards or downwards. Multi-Timeframe Analysis WLFIUSDT Daily (D1): Main Direction and Dominant Scenario Price: 0.15 USDT EMA 20: 0.15 USDT EMA 50: 0.15 USDT EMA 200: 0.19 USDT The EMA for the short and medium term (20 and 50 days) are perfectly overlapping the price, while the EMA 200 remains higher,…

WLFI chart and technical analysis

In a slightly improving crypto market context, the price of WLFI today is in a technical holding pattern around a key level, without yet choosing a clear direction.

WLFI Price and Market Context

  • WLFI Price Today (WLFIUSDT): ~0.15 USDT
  • D1 Regime: neutral
  • H1 Regime: neutral, with a bit more short-term push
  • 15m Regime: neutral but with signs of intraday overextension

WLFIUSDT is moving sideways around 0.15 USDT, with the price almost glued to its averages and Bollinger Bands. The daily picture is clearly neutral: there is no strong directional trend, but a phase of congestion that could turn into accumulation before a broader move, or into distribution if sales prevail on key supports.

In this context, the dominant force for now is price stagnation: little directionality, compressed volatility, and flat indicators. These phases often precede the next significant leg, but force traders to carefully choose very clear invalidation levels.

The overall crypto market, with a total capitalization over 3.2 trillion dollars and Bitcoin dominating at 57%, is in slight expansion (+2.57% approximately in the last 24 hours). However, the Fear & Greed Index at 22 (Extreme Fear) still indicates strong caution among investors. WLFI, however, is not currently taking advantage of this general push: the price remains anchored to its pivot area, without a breakout.

Practical reading: the macro context is not hostile, but WLFI has not yet chosen a direction. For those considering whether to buy WLFI, the priority is to understand whether this price compression will break upwards or downwards.

Multi-Timeframe Analysis WLFIUSDT

Daily (D1): Main Direction and Dominant Scenario

  • Price: 0.15 USDT
  • EMA 20: 0.15 USDT
  • EMA 50: 0.15 USDT
  • EMA 200: 0.19 USDT

The EMA for the short and medium term (20 and 50 days) are perfectly overlapping the price, while the EMA 200 remains higher, around 0.19. This tells two things:

  • In the short/medium term: the market is in flat congestion, with no clear direction. Buyers and sellers are essentially balancing in the 0.15 area.
  • In the long term: WLFI remains below the long-term average, setting a still slightly bearish background until there is a decisive recovery towards 0.19.

Operational reading: to talk about a true structural reversal, the price needs to start working steadily above 0.16–0.17, with the EMA 200 at 0.19 in sight. As long as we remain stuck around 0.15, the picture remains neutral with a slightly defensive bias.

RSI Daily WLFI: Slightly Constructive Balance

An RSI around 52 indicates a market in balance, neither overbought nor oversold. We are slightly above the 50 line, suggesting a slight buying prevalence, but without enough strength to talk about a bullish trend.

In practice: buyers are not really pushing; they are just maintaining the price, avoiding new declines but not yet taking full control.

MACD Daily WLFI: Flat Momentum

  • MACD line: 0
  • Signal: 0
  • Histogram: 0

A completely flat MACD is the picture of virtually zero momentum. There is no predominance of either bullish or bearish strength. This is exactly what one expects in a phase of balance and compression like the current one.

Practical implication: as long as the MACD remains pressed at zero, WLFI’s movements risk being predominantly noise, with breakouts more exposed to false signals.

Bollinger Bands Daily WLFI: Contained but Not Extreme Volatility

  • Mid (SMA): 0.15
  • Upper Band: 0.17
  • Lower Band: 0.14

The price is aligned with the central line, with bands fairly close (range 0.14–0.17). We are not in extreme compression, but volatility remains moderate. The market is “breathing” little: neither explosions upwards nor collapses.

How to read it: a decisive approach to the upper band (0.17) with increasing volumes would be an initial signal of a bullish exit from congestion. Conversely, sliding towards the lower band (0.14) could indicate that sellers are regaining control.

ATR Daily WLFI: Reduced Absolute Volatility

An ATR of about 0.01 on a price of 0.15 means that average daily movements are contained. The market moves little, and this has two consequences:

  • Stops that are too tight risk being hit anyway by the normal “breath” of the price;
  • those looking for explosive movements must still wait for a pick-up in volatility.

For risk management: it makes sense to size stops at least based on this 0.01, avoiding placing them exactly on the nearest swing low, where the market tends to “sweep” before really choosing a direction.

Pivot Point Daily WLFI: Close Technical Levels

  • Central Pivot (PP): 0.15
  • Resistance R1: 0.16
  • Support S1: 0.15 (very close to the price)

The price dances exactly on the pivot area, indicating that the market has not yet taken a position. R1 at 0.16 represents the first real level to break to give a concrete signal to buyers.

Implication: as long as WLFI remains stuck to the pivot, it is difficult to have a directional advantage. Breakout traders will watch closely for a potential daily close above 0.16; bears will wait for a convincing loss of support at 0.145–0.15.

Timeframe H1: Confirmation or Weakness of the Daily Picture

  • Price H1: 0.15
  • EMA 20 / 50 / 200 H1: all around 0.15
  • RSI H1: 65.28

On 1H the price remains trapped on the averages, but the RSI rises towards the 65 area: there is a moderate intraday bullish push, not yet exaggerated but visible.

Reading: in the short term, buyers are trying to take some control. However, the fact that the averages remain flat and overlapping indicates that, for now, it is more of an internal rotation than the start of a structured trend.

The Bollinger Bands on H1 are practically overlapping (upper/lower at 0.15) and the ATR at 0 signals the absence of real spikes in the period considered. It is further confirmation of a stagnant market, where every hourly breakout should be taken with caution.

Timeframe 15m: Very Short-Term Overextension

  • Price 15m: 0.15
  • EMA 20 / 50 / 200 15m: aligned at 0.15
  • RSI 15m: 78.91

The 15-minute chart shows an interesting figure: RSI near 80, indicating a clear intraday overextension upwards. Again, with flattened averages and almost no volatility, this is not yet a strong trend, but it indicates that in the very short term, buyers may have overdone it a bit.

Tactical implication: for those scalping or making very short entries, buying under these conditions on the 15m is often inefficient. It’s better to wait for a small pullback or at least an RSI that falls back below 70. Those already long might use this phase to slightly tighten stops or take some profit if they bought lower.

Bullish Scenario WLFI: What It Would Take for a Real Restart

Currently, the dominant picture on D1 is neutral, but with a slightly improving general crypto market and a daily RSI above 50, a credible bullish scenario exists.

Triggers and Confirmations for Bulls

  • Break and daily close above 0.16 USDT (pivot R1), with good holding of the level in the following hours.
  • Approach to the upper Bollinger band daily (0.17) accompanied by a MACD starting to tilt upwards, with positive values in the histogram.
  • Daily RSI that stabilizes above 55–60, indicating that demand is starting to prevail more clearly.

In this case, the natural targets would be:

  • 0.17 USDT: upper Bollinger band area and first technical take profit.
  • 0.19 USDT: EMA 200 daily, important dynamic resistance, and level where the market will have to decide whether to really change the long-term trend.

Invalidation of the Bullish Scenario:

  • Quick return below 0.15 after an attempt to break out above 0.16, with daily close back on the pivot or below.
  • Daily RSI falling below 50, indicating that the buying push was only temporary.
  • Formation of lower highs on H1, with RSI dropping from 65 back into the 50 area or less.

For those wondering whether to buy WLFI, this context suggests a cautious approach: aggressive entries on the breakout, but only if accompanied by volumes and multi-timeframe confirmations. Additionally, well-defined stops just below 0.15–0.148 are useful.

Bearish Scenario WLFI: When Support Gives Way

The long-term background remains slightly bearish (price below EMA 200 daily), and the general market sentiment is still in Extreme Fear. It is not excluded that WLFI could unload again if the congestion in the 0.15 area resolves downwards.

Triggers for Bears

  • Decisive loss of 0.15 with hourly and then daily closes below this level.
  • Approach to the lower Bollinger band (0.14) with daily RSI sliding towards 45 or less.
  • MACD starting to tilt negatively, with a widening histogram below zero.

In that scenario, the levels to monitor would be:

  • 0.145–0.14 USDT: first corridor to look for a buyer reaction, in the lower Bollinger band area.
  • Below 0.14, the risk is of bearish accelerations from stop hunting, given the current low ATR.

Invalidation of the Bearish Scenario:

  • Stable return above 0.16 with daily RSI rising above 52–55.
  • Hourly moving averages (EMA 20/50) starting to tilt upwards, supporting the price instead of acting as resistance.

Those considering selling WLFI (or shorting where possible) should be aware that the low ATR can lead to “jerky” movements. Long phases of calm can be followed by quick spikes where entering late becomes dangerous.

WLFI Chart, Capital, and Where to Buy: How to Use This Analysis

The WLFI chart today tells a simple story: waiting phase. The capitalization of WLFI (not directly included in the data above, but usually available on major trackers) should always be related to the liquidity of the order book on the exchange where it is listed. The thinner the market, the more these technical levels can be easily violated by relatively small orders.

For those wondering where to buy WLFI, the answer is not just “on which exchange,” but in what context to operate:

  • if you enter during congestion, as now, you must accept many false signals and lateral movements;
  • if you wait for a break of 0.16 or a loss of 0.15, you work with more solid confirmations but expose yourself to the risk of buying or selling already after part of the movement.

On the WLFI news side, any announcements about the project, listings on new exchanges, or updates on the WLFI token can act as catalysts to break this flat phase. However, the chart currently tells us that the market is simply waiting for a reason to move.

What This Means for a WLFI Trader

The technical picture of WLFIUSDT today is that of an asset on pause:

  • Neutral daily, flattened EMA, flat MACD, balanced RSI.
  • Intraday H1 and 15m with a slight bullish inclination, but with signs of very short-term overextension.

In these conditions, those trading WLFI today essentially have two paths:

  • Patient approach: wait for the market to choose a direction, using 0.16 as a watershed for bullish scenarios and 0.15/0.145 as an alert zone for bearish scenarios.
  • Range trading approach: accept the congestion and work on small swings, aware that the range break will come and will need to be managed quickly to avoid being on the wrong side.

The greatest risk element here is represented by false breakouts. With low volatility (reduced ATR) and flat indicators, it takes little to push the price beyond a technical level and then immediately bring it back. For this reason, buying or selling on the first naked breakout is dangerous; multi-timeframe confirmations and consistent volumes are needed.

For those who are investors rather than scalpers, WLFI is currently an asset under observation: the 0.14–0.16 zone is a key area where the next move is being played out. Forecasts on WLFI, at this stage, can only remain cautious: the base scenario is neutral, with a slight positive inclination in the short term. However, a true long-term reversal signal is still missing.

Trading ToolsIf you want to monitor the markets in real-time with advanced charts and professional tools, you can open an account on Investing.com!:

Open your Investing.com account

This section contains a sponsored affiliate link. We may earn a commission but at no additional cost to you.

Disclaimer: The information in this article is for informational and educational purposes only and does not constitute financial advice, investment invitation, or solicitation of public savings. Trading cryptocurrencies involves a high level of risk and may not be suitable for all investors. Carefully consider your objectives, experience, and risk tolerance before trading in the markets.

Source: https://en.cryptonomist.ch/2025/12/09/wlfi-price-today-technical-analysis-of-wlfi-usdt-amidst-congestion-and-potential-rebound/

Piyasa Fırsatı
WLFI Logosu
WLFI Fiyatı(WLFI)
$0.1354
$0.1354$0.1354
+0.66%
USD
WLFI (WLFI) Canlı Fiyat Grafiği
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.

Ayrıca Şunları da Beğenebilirsiniz

South Korea Launches Innovative Stablecoin Initiative

South Korea Launches Innovative Stablecoin Initiative

The post South Korea Launches Innovative Stablecoin Initiative appeared on BitcoinEthereumNews.com. South Korea has witnessed a pivotal development in its cryptocurrency landscape with BDACS introducing the nation’s first won-backed stablecoin, KRW1, built on the Avalanche network. This stablecoin is anchored by won assets stored at Woori Bank in a 1:1 ratio, ensuring high security. Continue Reading:South Korea Launches Innovative Stablecoin Initiative Source: https://en.bitcoinhaber.net/south-korea-launches-innovative-stablecoin-initiative
Paylaş
BitcoinEthereumNews2025/09/18 17:54
Trump Cancels Tech, AI Trade Negotiations With The UK

Trump Cancels Tech, AI Trade Negotiations With The UK

The US pauses a $41B UK tech and AI deal as trade talks stall, with disputes over food standards, market access, and rules abroad.   The US has frozen a major tech
Paylaş
LiveBitcoinNews2025/12/17 01:00
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
Paylaş
Medium2025/09/18 14:40