The SEC&#8217;s regulatory review may lead to reduced oversight, potentially fostering innovation and growth in the crypto industry. The post Acting SEC chair Uyeda directs staff to review statements on investment contract framework, Bitcoin futures fund guidance appeared first on Crypto Briefing.

Acting SEC chair Uyeda directs staff to review statements on investment contract framework, Bitcoin futures fund guidance

Wall Street bleeds, US Banks cleared for crypto, SEC commissioner calls for 7 
crypto reforms, and more in this Week in Review. Week in Review Wall Street 
shed $2.85 trillion in value amid growing recession fears, following Trump&#8217;s 
new tariffs. Meanwhile, over 5,000 U.S. banks are now cleared to offer crypto 
services. In Washington, an […]

Wall Street Bleeds, US Banks Cleared for Crypto, and More — Week in Review

Bitcoin has maintained its price above $80,000 despite a massive sell-off in 
US stocks last week, sparking debate about its changing relationship with 
traditional risk assets. Related Reading: Bitcoin’s Safe, Saylor Says, While 
Trump Waves The Tariff Sword Bitcoin Holds Ground While Stocks Tumble The US 
stock market lost $2.85 trillion on April 3, followed by another staggering 
drop of $3.25 trillion by the end of Friday&#8217;s trading session. According to 
market analysts, this represents the worst two-day market decline in five 
years. The sell-off came in response to US President Donald Trump&#8217;s tariff 
increases, which sent investors rushing to pull their money out of stocks. But 
while stocks fell, Bitcoin took a different path. The cryptocurrency remained 
stable, even seeing price increases during this period. As of the latest 
trading data, BTC is priced at $83,205, showing a 1.3% increase over the past 
week. Crypto Market Welcomes $5.4 Billion In Fresh Money In what some market 
watchers call a surprising turn, cryptocurrency markets received about $5.4 
billion in new investments on Friday alone. This happened at the exact time 
investors were pulling billions from stocks, suggesting a possible shift in 
how people view the top crypto during uncertain times. Even gold, which had 
recently hit a record high of $3,167 on April 3, dropped sharply to around 
$3,000 during Friday&#8217;s market troubles. Based on reports, Bitcoin&#8217;s price 
stability while both stocks and gold fell has caught the attention of many 
financial experts. Market Experts Express Surprise At Crypto&#8217;s Performance 
Bloomberg ETF analyst James Seyffart highlighted Bitcoin&#8217;s unexpected strength 
in an X post on April 4. He wrote that he was &#8220;genuinely shocked&#8221; by Bitcoin&#8217;s 
ability to remain above $80,000 while other assets fell. Genuinely shocked a 
bit by Bitcoin&#8217;s resilience. Would not have guessed it would hold above $80k 
in this type of broader market selloff of risk assets… Hell &#8212; even Gold is 
down? pic.twitter.com/SKRkZF8hCb — James Seyffart (@JSeyff) April 4, 2025 Adam 
Back, co-founder of Blockstream, suggested this might signal that Bitcoin is 
finally breaking its pattern of following stock market movements. He proposed 
that market makers might be taking advantage of limited cash in the system to 
adjust Bitcoin&#8217;s typical correlation with stocks. #bitcoin decoupling finally. 
was thinking the coupling was fake. maybe market makers using bitcoin market 
shortage of fiat liquidity to auto-correlate bitcoin, noticeable on US market 
open. — Adam Back (@adam3us) April 4, 2025 Companies Continue To Buy Bitcoin 
Despite Market Fears According to the report, Bitcoin&#8217;s price stability might 
be linked to ongoing purchases by major companies. Strategy has returned to 
buying Bitcoin weekly after a brief pause, now in its third consecutive week 
of acquisitions. Related Reading: XRP Breakout Alert! Could This Surge Send 
The Altcoin To $3? Game retailer GameStop made headlines recently when it 
disclosed Bitcoin as its primary treasury asset. The company is seeking to 
raise $1.3 billion to acquire more Bitcoin, a Bloomberg analyst said. These 
institutional purchasing trends might be generating sufficient demand to 
sustain Bitcoin prices despite pressure on conventional markets. Ongoing 
institutional demand indicates increasing confidence in Bitcoin as a store of 
value amidst market uncertainty. Featured image from Gemini Imagen, chart from 
TradingView

Bitcoin Ditches The Pack: Risk Assets Down, BTC Holds Steady

Solana continues to face mounting selling pressure as it struggles to reclaim 
the $150 level, with broader market uncertainty weighing heavily on price 
action. Down nearly 60% from its all-time high, Solana reflects the weakness 
seen across the crypto sector, where fear and volatility have returned to 
dominate investor sentiment. As macroeconomic instability and risk-off 
behavior persist, bulls have been unable to regain control, and confidence 
remains shaky. Related Reading: Dogecoin Faces Make-Or-Break Support Level – 
Will DOGE Hold? Top crypto analyst Ali Martinez recently shared an important 
technical analysis, identifying $120 as a critical make-or-break zone for 
Solana. According to Martinez, this level has historically marked major shifts 
in SOL’s price trajectory, often acting as the tipping point between recovery 
and further decline. With Solana now hovering dangerously close to this 
threshold, traders are watching closely to see whether it can hold or break. 
If $120 fails to act as support, it could trigger a deeper correction. On the 
flip side, holding this level could offer bulls a base to mount a potential 
comeback — especially if market conditions stabilize. For now, Solana remains 
in a vulnerable position, and how it behaves around this key level may define 
its direction in the weeks ahead. Solana Holds Critical Demand As Global Trade 
War Tensions Grow Solana is trading at a critical demand zone as selling 
pressure intensifies across the crypto market, driven by escalating global 
tensions and trade war fears. On Liberation Day, US President Donald Trump 
announced sweeping new tariffs, sparking strong responses from major economies 
like China. The fallout has shaken investor confidence across all markets, 
including crypto, where risk assets are feeling the weight of heightened 
uncertainty and reduced appetite. Solana (SOL) has been especially vulnerable, 
with price action slipping toward key support levels. Analysts warn that if 
current demand fails to hold, the downtrend could accelerate. The next few 
days will be crucial, as continued weakness into next week could confirm a 
bearish breakdown. Many traders are already preparing for more downside if the 
market doesn’t stabilize soon. Martinez recently highlighted the importance of 
the current support zone. According to his analysis, the $120 level is a 
decisive make-or-break point for Solana. This zone has historically marked 
major trend reversals and shifts in momentum. A failure to hold above it could 
lead to a deeper correction, while a bounce from this level could spark a 
recovery. With SOL already 60% down from its all-time highs, bulls are on the 
defensive. If they can defend $120, there’s still hope for a reversal — but 
losing it may signal that the broader bearish trend remains intact. In the 
days ahead, all eyes will be on Solana’s ability to hold the line as macro 
pressure continues to shape the crypto market’s direction. Related Reading: 
Massive Chainlink Demand Wall At $6.26 As 90K Investors Buy 376M LINK Key 
Weekly Support Faces Breakdown Risk Solana is currently trading at $120, on 
track to record its lowest weekly close since February 2024. After weeks of 
selling pressure and repeated rejections below the $150 level, bulls are 
running out of time to defend key support. The inability to reclaim $150 — a 
major resistance zone — has kept SOL trapped in a bearish structure, with 
momentum firmly in favor of the bears. For any hopes of a recovery rally to 
take shape, Solana must reclaim $150 in the coming days. That level remains 
the gateway to higher demand zones and a shift in short-term trend. However, 
if price action continues to weaken and $120 fails to hold, the next logical 
target is much lower — around the weekly 200-day MA and EMA, both converging 
near $95. Related Reading: Ethereum Whales Buy the Dip – Over 130K ETH Added 
In A Single Day This would represent a critical breakdown and likely trigger 
additional downside pressure, particularly if broader market conditions remain 
fragile. With macroeconomic uncertainty and trade war tensions weighing 
heavily on sentiment, Solana’s position looks increasingly vulnerable. Unless 
bulls step in soon, SOL could be facing a deeper retracement as it tests long- 
term support zones not seen since late 2023. Featured image from Dall-E, chart 
from TradingView

Solana Faces Defining Level At $120 – Will History Repeat?

Ethereum and Bitcoin went through very different trajectories in the first 
quarter of 2025, and the divergence could not be more obvious. According to 
data from on-chain analytics firm IntoTheBlock, Ethereum underperformed 
significantly, dropping nearly 50% in value over the past three months. 
Related Reading: Bitcoin’s Safe, Saylor Says, While Trump Waves The Tariff 
Sword Bitcoin, though also correcting, saw a smaller decline below 15%. This 
reflects a broader trend in the crypto market where inflows and interest went 
toward Bitcoin and a few altcoins, leaving Ethereum struggling to regain 
momentum. Ethereum’s Underperformance Vs. Bitcoin In Q1 Bitcoin began Q1 on a 
notably bullish trajectory due to increasing institutional interest and strong 
inflows into Spot Bitcoin ETFs, a combination which pushed the price to a new 
all-time high of $108,786 on January 20. This price marked the peak of a 
steady upward movement that has placed Bitcoin firmly in the spotlight since 
October 2023. However, a pronounced downtrend followed this peak, particularly 
in March, when the Bitcoin price dipped below $80,000 for the first time since 
November 2024. An already struggling Ethereum price fared much worse and broke 
below a strong support of $1,900. Bitcoin has shown resilience since this 
break, bouncing back above $83,000 and even recently touching $87,000. On the 
other hand, Ethereum continues to trade below $1,900 and is now at risk of 
losing $1,800 and breaking below. According to data from Cryptorank, Ethereum 
closed Q1 2025 with a 45.3% decrease from its quarterly open. This marks the 
second-worst Q1 performance for Ethereum, behind a 47.5% decline in Q1 2018. 
Bitcoin, on the other hand, ended Q1 2025 with an 11.7% decrease from its 
opening price. Image From X: IntoTheBlock Ethereum Price Direction: $1,800 On 
Crosshairs With Cautious Bullishness Ethereum’s decline has been amplified by 
a visible drop in trading interest and inflows even in Spot Ethereum ETFs. 
Most of the attention has been on Bitcoin, with Solana, Dogecoin, and XRP 
taking the most significant share of interest in the altcoin market. 
Nonetheless, many crypto analysts are still bullish on Ethereum and are on the 
outlook of a bounce as it is now nearing a bottom around $1,800. According to 
a crypto analyst (@CryptoELlTES ) on social media platform X, Ethereum at 
$1,800 is the bottom. This outlook is based on this level, which acted as 
resistance in the 2022 bear market and is expected to flip to become support. 
Another analyst (Crypto Fella) noted that a reversal at this point &#8220;would be 
very good for alts,&#8221; suggesting a possible broader market recovery for 
altcoins if Ethereum finds solid footing here. Image From X: @CryptoELlTES 
Related Reading: Solana Slammed By Whale Dump—Can It Recover Or Is More Pain 
Ahead? At the time of writing, Ethereum is trading at $1,803, down by $0.18% 
and 1.9% in the past 24 hours and seven days, respectively. Featured image 
from Pexels, chart from TradingView

Ethereum Tanks Nearly 50% As Bitcoin Holds Stronger In Q1

## Key takeaways
 * Grok 3 adjusts its predictions based on evolving market trends by analyzing real-time data patterns.
 * Combining technical analysis with sentiment data improves accuracy; Grok 3 effectively identifies potential trade opportunities.
 * Backtesting strategies before live trading is crucial; testing Grok 3&#8217;s prompts using historical data helps refine conditions and improve performance.
 * While Grok 3 can automate trades, human oversight remains critical in adapting to unexpected market conditions.
Crypto trading is complex. Prices can swing wildly, and even experienced 
traders struggle to keep up. That&#8217;s why automation tools are gaining 
attention, with many now exploring Grok 3, an advanced artificial intelligence 
(AI) model from xAI (founded by Elon Musk).
Grok 3 wasn&#8217;t built specifically for trading, but its ability to analyze data, 
spot patterns and interpret trends has encouraged traders to test it for 
automated strategies. The idea is simple: Let Grok 3 make data-driven 
decisions, removing the emotional guesswork that often leads to poor trades.
But does it actually work? Some traders report impressive results, while 
others find it unpredictable, especially in volatile markets.
This article digs into what happens when you automate crypto trades with Grok 
3. From successful strategies to unexpected risks, you&#8217;ll get a clear picture 
of what to expect, plus actionable tips to improve your results.
## What is Grok 3 and how does it relate to crypto trading?
Grok 3 is an AI model designed by xAI, an artificial intelligence company 
founded by Elon Musk. While its primary focus is natural language processing, 
some traders are now testing Grok 3 as a potential tool for improving crypto 
trading strategies. Unlike traditional trading bots operating on rigid rules, 
Grok 3&#8217;s flexible design allows it to analyze diverse data sources and uncover 
patterns that might be overlooked.
### Why some traders are turning to Grok 3
Grok 3&#8217;s appeal lies in its ability to handle complex data, a crucial 
advantage in crypto markets, where price moves are often triggered by 
unexpected events or sentiment shifts.
Here&#8217;s where traders say Grok 3 has potential:
 * **Identifying market sentiment trends:** Crypto markets are heavily influenced by emotions like FOMO (fear of missing out) and FUD (fear, uncertainty, doubt). Grok 3 can analyze social media, news headlines and community discussions to assess changing sentiment, a key factor in crypto volatility.
 * **Recognizing hidden patterns:** Grok 3&#8217;s machine learning capabilities allow it to detect subtle correlations between indicators that traditional bots may overlook. For instance, Grok 3 may link an increase in social sentiment with rising whale activity to predict bullish momentum.
 * **Flexible analysis based on prompts:** Rather than following static rules like &#8220;Buy when RSI falls below 30,&#8221; Grok 3 enables traders to design more complex strategies using natural language instructions.
## What happens when Grok 3 is used to automate crypto trades?
Grok 3 isn&#8217;t your typical crypto trading bot. It doesn&#8217;t place trades directly 
or integrate with exchanges on its own. But it can help traders build smarter, 
faster and more flexible automation systems. From writing trade logic to 
analyzing market sentiment, Grok 3 is already being used in the real world to 
streamline how crypto strategies are created and tested.
Instead of manually scripting every piece of logic, traders are now using Grok 
3 to generate working code for bots. For example, a user asked Grok 3 to write 
token buy/sell logic with parameters like slippage, take-profit and gas 
priority fees. It generated a script that can be plugged into DeFi tools or 
expanded with 0x and Uniswap APIs.
Some traders use Grok 3 to build end-to-end bots tailored to niche tokens or 
specific strategies. In another example, Grok 3 was used to create an 
automated system that scans price action and triggers trades under strict 
conditions. It doesn&#8217;t just stop at buy/sell logic. Grok also writes portfolio 
rebalancing scripts and can simulate how positions would perform under 
different volatility conditions.
Here is an example of a prompt fed into Grok 3, along with the output 
received.
### Grok 3&#8217;s response: High-frequency trading bot framework for Solana (SOL)
Below is a structured outline for a high-frequency trading bot framework 
designed for Solana (SOL), focusing on one-minute price fluctuations, risk 
management and trade execution. This outline provides a modular structure with 
placeholders for key components, avoiding specific implementation details as 
requested.
#### **1\. Core configuration**
 * **Purpose** : Define global settings and constants for the bot.
 * **Components** :
Solana network endpoint (e.g., mainnet RPC URL)
Wallet configuration (private key or keypair for trading)
Trading pair (e.g., SOL/USDC)
Timeframe (one-minute candlestick data)
Trade size ($100 per position)
Max trades (10 concurrent or sequential positions)
Profit target ($50 total)
Max loss per trade ($20)
#### **2\. Data acquisition module**
 * **Purpose** : Fetch and process real-time SOL price data.
 * **Components** :
WebSocket connection to Solana blockchain or exchange API (e.g., Serum, 
Raydium, or centralized exchange like Binance)
1-minute OHLCV (Open, High, Low, Close, Volume) data stream
Data buffer for storing recent price history
Error handling for connection drops or latency
#### **3\. Volatility analysis module**
 * **Purpose** : Assess SOL&#8217;s price volatility to inform trade decisions.
 * **Components** :
Placeholder: Calculate short-term volatility (e.g., standard deviation or ATR 
over one-minute candles)
Placeholder: Define volatility thresholds (e.g., high/low volatility states)
Output: Volatility score or signal to adjust trade frequency/size
#### **4\. Trade signal generator**
 * **Purpose** : Generate buy/sell signals based on price fluctuations.
 * **Components** :
Placeholder: Simple momentum strategy (e.g., price crossing a short-term 
moving average)
Placeholder: Filter signals using volatility analysis
Signal validation (e.g., avoid over-trading within one-minute window)
Output: Buy/sell signal with timestamp
#### **5\. Risk management module**
 * **Purpose** : Enforce risk controls and position limits.
 * **Components** :
Position size calculator (fixed at $100 per trade)
Max loss check ($20 per trade stop-loss)
Total profit/loss tracker (halt at $50 profit or after 10 trades)
Concurrent trade limiter (cap at 10 active positions)
Emergency stop (pause bot on extreme volatility or connectivity loss)
#### **6\. Trade execution module**
 * **Purpose** : Execute trades on the Solana blockchain or exchange.
 * **Components** :
Placeholder: Build Solana transaction (e.g., swap SOL for USDC via a DEX like 
Raydium)
Order type (market order for speed in one-minute timeframe)
Slippage tolerance (e.g., 0.5% max slippage)
Transaction signing and submission
Confirmation listener (await transaction finality)
Error handling (e.g., retry on failed execution)
#### **7\. Performance monitoring module**
 * **Purpose** : Track and log bot performance in real time.
 * **Components** :
Trade log (entry price, exit price, profit/loss, timestamp)
Running total profit/loss calculator
Performance metrics (e.g., win rate, average trade duration)
Alert system (notify on profit target, max loss, or errors)
#### **8\. Main control loop**
 * **Purpose** : Orchestrate bot operations in a continuous cycle.
 * **Components** :
Initialize bot (load config, connect to data feed)
Loop:
Fetch one-minute price data
Analyze volatility
Generate trade signal
Apply risk management checks
Execute trade if conditions met
Update performance metrics
Exit conditions (profit target hit, max trades reached, or manual stop)
#### **9\. Shutdown and cleanup**
 * **Purpose** : Safely terminate the bot and finalize operations.
 * **Components** :
Close open WebSocket connections
Finalize pending transactions
Save trade log and performance summary
Release resources (e.g., memory, wallet connections)
**Notes**
 * This framework assumes integration with Solana&#8217;s ecosystem (e.g., using a DEX or liquidity pool). Adjust the execution module if targeting a centralized exchange.
 * Volatility analysis and signal generation are left as placeholders for customization (e.g., technical indicators or machine learning models).
 * Risk management is strict to align with the $50 profit goal and $20 max loss per trade, ensuring the bot operates within defined boundaries.
**Caution!** The above is a tailored outline shaped by the user&#8217;s prompt, 
targeting one-minute price fluctuations, risk management and trade execution. 
Its output varies with prompt detail, as specificity sharpens results. 
Moreover, placeholders like volatility analysis await user customization, 
reflecting Grok 3&#8217;s adaptive learning. It&#8217;s a conceptual guide, not code, and 
success hinges on implementation and market conditions. For deeper refinement, 
such as Solana-specific tweaks, users can provide more context. Grok 3 adjusts 
using their input and its latest insights.
Let&#8217;s learn the general steps required to set up Grok 3 for automated crypto 
trading.
## How to set up Grok 3 for automated crypto trading
Setting up Grok 3 for AI-powered crypto trading automation isn&#8217;t as 
straightforward as installing a typical trading bot. Since Grok 3 wasn&#8217;t built 
for direct trading, it requires thoughtful setup, integration and 
customization. Below is a practical guide to setting up Grok 3 effectively for 
automated crypto trading with AI (artificial intelligence).
### Step 1: Choosing a compatible trading platform
Since Grok 3 doesn&#8217;t connect directly to crypto exchanges, it requires 
integration with third-party platforms that support API automation. Platforms 
like:
 * **3Commas** : Ideal for executing trades via automated strategies.
 * **TradingView** : Used for generating trade signals using Pine Script.
 * **CryptoHopper** : Offers custom strategy-building tools with API integration.
Ensure that the chosen platform offers robust API support for managing trade 
execution, setting risk controls and tracking performance.
### Step 2: Integrating Grok 3 with the trading platform
Grok 3 doesn&#8217;t connect directly to crypto exchanges; integration requires 
creative workarounds:
 * **API integration via automation tools:** Platforms like Zapier or Make.com can connect Grok 3&#8217;s analysis to trading platforms.
 * **Custom Python scripts:** For tech-savvy traders, Grok 3&#8217;s insights can be processed through Python scripts that execute trades based on Grok 3&#8217;s recommendations.
 * **No-code automation tools:** Services like IFTTT can trigger basic trading actions based on Grok 3&#8217;s sentiment analysis.
### Step 3: Defining trading strategies with Grok 3
Grok 3&#8217;s success hinges on well-defined strategies. Unlike traditional bots 
that rely solely on technical signals, Grok 3 crypto trading bot can combine 
multiple factors, including:
 * **Technical indicators:** RSI, MACD, Bollinger Bands, etc.
 * **Sentiment analysis:** Social media trends, influencer opinions and news headlines
 * **Onchain data:** Whale activity, exchange inflows/outflows and large wallet movement.
### Step 4: Backtesting strategies before live trading
Before deploying Grok 3&#8217;s strategy in live markets, backtesting is essential 
to evaluate its performance. Backtesting can reveal:
 * **Accuracy of trade signals:** Identify how often Grok 3&#8217;s suggested trades align with profitable outcomes.
 * **False signal detection:** Ensure Grok 3 isn&#8217;t generating excessive buy/sell recommendations in volatile or stagnant markets
 * **Refinement opportunities:** Fine-tune conditions such as RSI thresholds, sentiment scores or trade exit conditions
Examples of tools for backtesting include TradingView and CryptoQuant.
### Step 5: Implementing risk management controls
Even with solid insights, crypto markets are unpredictable. Adding risk 
controls minimizes potential losses:
 * **Stop-loss orders:** Automatically exits trades if prices move beyond a set threshold.
 * **Position limits:** Restricts trade size to reduce exposure in uncertain markets.
 * **Trailing stops:** Locks in profits during upward trends while minimizing downside risk.
**Example of risk control prompt:** 
_&#8221; Write a code to handle buying and selling a token with the given 
parameters, including priority fees, slippage, and a take-profit mechanism.&#8221;_
Please note that the output shown above is not complete and is provided for 
illustration purposes only.
### Step 6: Ongoing monitoring and strategy refinement
Grok 3&#8217;s strength lies in its adaptability, but it requires ongoing monitoring 
to ensure optimal results. Regularly review:
 * **Performance data:** Assess win rates, profit margins and signal accuracy.
 * **Market conditions:** Adjust strategy if major shifts (e.g., regulatory changes or macroeconomic factors) impact sentiment or momentum.
**Pro tip:** Revisiting Grok 3&#8217;s prompts regularly can refine strategy 
outcomes and improve long-term performance.
## Limitations of Grok 3
Despite its strengths, Grok 3 has limitations that traders must consider.
 * **Data loss:** Crypto trading thrives on accurate and real-time data. However, crypto trading automation with Grok 3 has been reported to lose chunks of data, miscount words and provide incorrect time references, which can be detrimental in a fast-moving market and result in inaccurate signal detection, delayed responses to market events and flawed strategy execution.
 * **No direct exchange integration:** Unlike purpose-built trading bots, Grok 3 doesn&#8217;t connect directly to crypto exchanges. Traders must rely on third-party platforms to execute trades.
 * **Forgetfulness:** One of the biggest frustrations highlighted by some users is Grok 3&#8217;s &#8220;retrograde amnesia,&#8221; when it forgets everything from previous sessions. For crypto traders, this is a nightmare. Imagine building a trading strategy and needing Grok 3 to remember past trends and conversations, only for it to start fresh each session.
 * **Bias:** Grok 3 may deliver biased responses, potentially relying on incomplete or skewed sources. For traders who depend on unbiased sentiment analysis to gauge market mood, this shift could lead to misleading insights and poor decision-making.
 * **Slower execution speed:** Since Grok 3 processes information based on detailed prompts, its trade signals may lag behind fast-moving price changes.
 * **Prompt dependence:** Grok 3&#8217;s accuracy depends heavily on well-structured prompts. Vague or incomplete instructions often produce unreliable results.
While Grok-3 and other AI systems offer powerful tools for automating crypto 
trades, caution is essential. Their performance depends heavily on the quality 
of data and the strategies they&#8217;re programmed with, meaning unexpected market 
shifts or flawed inputs can lead to significant losses.
Remember, AI lacks human intuition and may struggle with unprecedented events, 
so relying solely on it without oversight is risky. Always test strategies 
with small amounts first and get help from experts before making large 
investments.