Arkham Reveals the World’s Biggest Crypto Whales in 2025: Binance, Coinbase, Satoshi Nakamoto and More

Key takeaways:

• Gemini AI serves as a powerful tool for researching day trade strategies but cannot be used to execute trades directly.

• It summarizes fundamentals and compares assets to support daily trade decisions but still requires access to data sets.

• Gemini AI helps manage trading discipline by turning watchlists, catalysts and post-mortems into structured loops that prevent traders from chasing noise.

• Gemini Flash 2.5, the latest version, still lacks real-time data access, so pair it with data from tools like TradingView, Glassnode or Nansen.

Day trading crypto moves fast, order books flip, narratives rotate, and liquidity pockets appear then vanish. Google’s Gemini AI can help you organize information, test ideas and automate routine analysis. It can function as a smart assistant that allows you to filter noise, structure market data and enable you to make insight-driven decisions.

This article shows you a safe, compliance-minded workflow to research, simulate and automate parts of a day-trading stack using Gemini AI without handing it your keys or “letting the AI trade for you.”

It is important to note that all prompts and examples were tested on Gemini Flash 2.5, which doesn’t stream real-time market data. That means you’ll need to cross-check AI-generated insight against live charts and reliable sources before acting on it. Crypto is volatile, so do your own research and trade responsibly.

What is crypto day trading, and why is it brutal without AI?

Day trading in crypto means opening and closing positions within the same day, often within hours or even minutes. Unlike swing traders who ride trends for days or long-term investors who hold for months, day traders thrive on short-term price moves.

Volatility is their playground, and crypto offers it in overdrive. That overdrive shows up in several ways unique to crypto markets:

• 24/7 markets: There’s no closing bell. BTC can break out at 3 am.

• Narrative-driven pumps: A token upgrade or social media post can flip sentiment instantly.

• Liquidity pockets: Order books thin out, and slippage can wreck an unplanned entry.

• Noise overload: Telegram, X, Discord, onchain alerts and macro news with hundreds of signals compete for attention.

This is where AI tools like Google’s Gemini fit in. They don’t replace the trader but act as a co-pilot. They help by:

• Summarizing order flow and sentiment

• Filtering catalysts that actually move the price from background noise

• Structuring data into sheets or dashboards so you see setups clearly

• Helping you write, test and refine rules (instead of chasing FOMO).

What Gemini can (and can’t) do for crypto day traders

What it can do well

• Reason over large context: Newer Gemini releases (e.g., Gemini 2.5 Pro) focus on long-context reasoning and strong coding ability, ideal for stitching market data and your notes into actionable summaries.

• Live inside your tools: Gemini works across Google Workspace apps, including Docs and Sheets, where it can summarize data, clean it and generate charts, now even through in-cell AI functions in Sheets.

• Developer-friendly: With Google AI Studio and the Gemini API, you can programmatically prompt models, analyze data sets and integrate outputs into your scripts or dashboards.

What it shouldn’t do (directly)

Hold crypto keys or auto-trade unsupervised. Keep Gemini focused on analysis, signal generation, backtesting and alerts. If you do connect to an exchange API, strictly gate permissions.

Did you know? Google’s Gemini can process up to 1 million tokens in a single prompt, meaning traders can feed entire research reports, news flows and charts into one query for faster insights.

Select and set up your Gemini access and workspace

1. Pick your Gemini access level

• Google AI Studio + API key for developers building prompts and scripts.

• Gemini in Workspace (Docs/Sheets) for no-code research and dashboards.

• Google now bundles “Advanced” features under the Google AI Pro subscription for the Gemini app (bigger context windows, deeper research and brainstorming ideas with Gemini). If you need maximum context for multi-asset intraday notes, that can help.

2. Create a trading notebook in Google Sheets

Once you’ve chosen your Gemini access (Sheets, Docs or API for developers), the next step is to create a trading notebook, a structured space where AI helps you organize chaos into clarity.

A simple Google Sheet with six tabs, as follows, can be a start:

• Watchlist: Track the tokens you’re monitoring.

• Catalysts: Note key events (upgrades, unlocks, macro reports).

• Levels: Mark out support, resistance and liquidity pockets.

• Order flow: Capture onchain flows, funding rates or order book imbalance.

• Plan: Write your playbook before the session begins.

• Post-mortem: Log what worked, what failed and what to improve.

Instead of staring at X or 10 chart tabs, you’re creating a repeatable loop: Watchlist → Catalysts → Levels → Plan → Order Flow → Post-Mortem → back to Watchlist. Gemini slots into each step as a reasoning partner.

While you can manually create data sets, another way to run a trading loop is via data sets downloaded from analytics providers like Glassnode, TradingView or CryptoQuant.

Did you know? In a 2025 global survey of regulators, IOSCO reported that among broker-dealers, algorithmic trading (63%) was one of the most commonly observed AI use cases, alongside surveillance (53%), client communications (67%) and market analysis/trading insights (40%).

Day trade using Gemini AI

Example: Using Gemini AI to refine a watchlist

Say your watchlist includes Bitcoin (BTC), Cardano (ADA) and Solana (SOL). Instead of scanning 50 tokens, you ask Gemini to highlight which ones had the biggest market swings or the highest percentage changes in the past 24 hours (pulled from your own data feed or an external data platform).

A prompt might look like:

“Summarize the top three coins by 24-hour price change from this data set. Rank them by potential risk of shorting.”

Gemini will produce you context and a structured ranking that helps you focus your limited time on the most volatile assets based on the data set you provided.

Example: Using Gemini AI for catalyst filtering

Catalysts drive intraday moves, Consumer Price Index reports, US Federal Reserve minutes, token unlocks, tech upgrades or even airdrop rumors. But there’s more noise than signal. Instead of manually scrolling through X or Discord, paste in the headlines and ask Gemini AI.

A prompt might look like:

“Flag which of these news catalysts are most likely to impact ETH and SOL in the next 12 hours, based on past price reactions.”

Example: Levels and liquidity mapping

Support and resistance levels are the bread and butter of day trading. Gemini can’t stream live order books, but you can feed it recent OHLCV (open, high, low, close and volume) data or your own notes, then ask:

“Identify the key price clusters where ETH was rejected multiple times this week and summarize as possible resistance.”

Instead of eyeballing, you get a clean text summary: “ETH repeatedly rejected near $3,950-$40,000; prior support at $3,840 flipped resistance.”

Example: Using Gemini AI for order flow sentiment

If you’re tracking open interest, long/short ratios or whale wallet flows, Gemini AI can help make sense of it:

“Summarize whether current BTC futures positioning looks more skewed to longs or shorts.”

You still need the raw BTC data downloaded from your trading portals, but Gemini AI’s summary can help you avoid tunnel vision. Instead of staring at numbers, you can request an interpreted snapshot that tells you whether the crowd is leaning long, short or neutral.

Example: Using Gemini AI for a daily trading plan

The Plan tab is where Gemini helps enforce discipline. A prompt like:

“Take today’s Watchlist, Catalysts and Levels tabs and draft three possible intraday scenarios with triggers and invalidations.”

That might provide an output like:

• Scenario A: Ether (ETH) breaks above $3,000 on high volume; long scalp with stop at $2,960.

• Scenario B: BTC rejects $105,000 resistance again and fades into $100,000.

• Scenario C: SOL reacts negatively to unlock event; short bounce into $170.

Now you’ve got a structured plan instead of winging it.

Example: Using Gemini AI for a post-mortem review

After the session, you can paste your trades into Gemini AI and ask:

“Analyze my last five trades and identify patterns in mistakes or strengths.”

It might spot that you cut winners too early but let losers run, or that you always overtrade during high volatility. This turns mistakes into structured lessons.

How can Gemini AI support risk management?

Risk is the one variable every day trader must control because surviving bad trades matters more than catching perfect ones. Use Gemini AI for a discipline check:

• Position sizing: Share your account size and maximum risk per trade, and Gemini AI can calculate safe position sizes under different leverage scenarios.

• Scenario planning: Instead of mapping only bullish setups, prompt Gemini AI to also outline bearish and sideways cases so you’re never locked into one bias.

• Risk-to-reward ratios: Paste your planned setups into Gemini and ask it to rank them by “r/r” ratio. This keeps your focus on the highest-quality trades.

• Capital allocation: Ask Gemini to summarize your exposure across assets (e.g., too much ETH beta) so you can rebalance before it’s too late.

Day trading crypto will always be a high-speed, high-risk game. What Gemini AI offers isn’t shortcuts, but the ability to process more information, stick to your rules and refine strategies faster than you could alone.

This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

The ADA price is grappling with heavy whale offloading, with over $140 million worth of Cardano sold in the last two weeks. While ADA price today hovers around $0.8775 near crucial support, the bullish demand appears fragile, leaving the market at a decisive crossroads for September’s direction.

ADA Price Tests Crucial $0.8775 Level

At the time of writing, ADA price USD is trading at $0.8775, holding slightly above a vital support level. This zone has acted as a key pivot in previous Cardano price chart structures.

However, current bullish momentum is noticeably weaker compared to other major altcoins, mainly due to persistent whale offloading over the past fortnight.

Whale Offloading Keeps Cardano Crypto Under Pressure

The Data shared by analyst Ali Martinez shows that whales have dumped more than 140 million ADA in the last two weeks.

Such consistent selling often weighs on sentiment, preventing the ADA price from joining the strong rallies seen in other altcoins. Still, despite this pressure, the market structure remains intact, with no major breakdowns so far.

Ali

@ali_charts

Whales are booking profits, selling over 140 million Cardano BINANCE:ADAUSDT in the last two weeks! pic.twitter.com/tpeGHmWb0O

Sep 11, 2025

Looking ahead, the $0.80 level is emerging as the critical line that could determine the ADA price prediction for the coming weeks.

As a decisive breach below this threshold would likely trigger a stronger bearish phase. However, as long as this support holds, the broader trend structure continues to lean bullish, even amid ongoing selling from whales.

ADA Price Prediction Sees Recovery Toward $1.10 if Demand Returns

Now, the daily chart suggests that if the current offloading trend proves short-lived and whales return with renewed demand, then the odds for ADA crypto to regain its bullish momentum would be high.

A rebound from the current level could drive ADA price back toward $1.10 in September, marking a recovery from the current consolidation phase. Until then, the market stays cautiously bullish while monitoring whale activity closely.

Ripple’s native token continues to trade in a calm environment, with neither bulls nor bears showing decisive strength. The market is consolidating inside established structures, and order flow has not yet shifted strongly enough to break the deadlock.Technical Analysis

By ShayanThe Daily Chart

On the daily timeframe, Ripple is holding above the $2.7–$2.8 support zone, a level further reinforced by the 100-day moving average. Despite recent downside pressure, buyers have stepped in each time the price has tested this area.

The broader ascending channel remains intact, but overhead resistance around $3.4–$3.6 continues to weigh on the market. Until the price escapes this compression, XRP is likely to remain range-bound.

The 4-hour chart highlights a descending triangle structure, with the asset repeatedly testing the lower boundary near $2.7 while failing to break past the descending resistance trendline.

This narrowing range is squeezing liquidity, setting up for a breakout. If buyers manage to push through $3.1, momentum could carry XRP toward the $3.4 resistance. Conversely, losing the $2.7 decision point would likely accelerate a decline toward $2.4.

Ethereum is trading with muted volatility, as both buyers and sellers lack conviction. The asset remains trapped within established ranges, with participants awaiting a catalyst to determine the next directional move.Technical Analysis

By ShayanThe Daily Chart

On the daily chart, Ethereum continues to respect its ascending channel, though the price has slipped slightly below the mid-range. ETH is stabilising above the $4.2K–$4.3K support zone, but has failed to generate momentum toward the upper channel boundary near $5K.

The RSI sits around neutral, underscoring the absence of strong momentum in either direction. If ETH reclaims the channel’s midline and holds above its current base, the broader bullish structure will remain intact. A breakdown below $4.2K, however, would expose the $3.8K demand zone, while strength above $4.6K would reopen the path toward retesting the highs.

On the 4-hour chart, Ethereum has shown the first signs of renewed bullish interest, breaking slightly above its descending wedge after multiple defences of the $4.2K base. The asset now probing the $4.4K zone, with momentum gradually shifting back to buyers.

If ETH sustains this push, the next upside target lies in the $4.6K–$4.7K range. Conversely, failure to hold $4.2K would confirm a failed breakout, increasing the likelihood of a move toward $3.8K. Reclaiming the channel’s midline would be a key structural signal, paving the way for an eventual rally toward a new all-time high.

By Shayan

The latest liquidation heatmap highlights Ethereum consolidating between $4.2K and $4.5K, with dense liquidity clusters stacked on both sides.

On the upside, a heavy band of short liquidations sits around $4,450–$4,600. If ETH extends higher into this zone, trapped shorts could be squeezed, fueling momentum toward the $4,800 liquidity pocket.

On the downside, long liquidation layers remain concentrated in the $4,100–$4,200 region. Losing this base would likely trigger unwinding of leveraged longs, potentially accelerating a drop toward $4K.

For now, ETH remains in a range-bound, liquidity-driven environment, where market makers are likely to continue hunting both sides. Until one of these clusters is decisively cleared, sideways compression is expected, with new order flow required to spark a lasting breakout.

WEEX will delist Hifi Finance (HIFI) on September 12th.

Refer to the official tweet by HIFI:

HIFI Info

Hifi is a decentralized lending protocol on the Ethereum blockchain, offering fixed interest rate loans. It allows borrowers to leverage the value of their crypto assets without selling them. Lenders, on the other hand, can earn predictable returns due to the fixed interest rates. Hifi also incorporates hTokens, a bond-like financial instrument representing an on-chain obligation with a specific maturity date.

Hifi operates through a series of smart contracts that enable users to deposit collateral and mint hTokens in a trustless environment. These hTokens can be purchased by lenders at a discount and redeemed at full face value at maturity. The protocol maintains a collateralization factor to ensure all debts are over-collateralized. If collateral falls below a certain threshold, it is sold to liquidators at a discount, helping to manage risk and maintain the system’s integrity.

The HIFI token is used within the Hifi ecosystem for governance purposes, with token holders responsible for managing the protocol’s risk parameters and incentives. They have the authority to allocate resources to various aspects such as liquidity, staking rewards, public goods, bug bounties, or a token buyback program, thereby playing a crucial role in the overall functioning and stability of the Hifi protocol.

WEEX will delist BakerySwap (BAKE) on September 12th.

Refer to the official tweet by BAKE:

BAKE Info

BakerySwap is a decentralized automated market-making (AMM) exchange protocol built on the Binance Smart Chain (BSC). As one of the pioneering projects on BSC, it differentiates itself by offering altcoin liquidity pools, eliminating the need for traditional order books and promoting direct trades against liquidity pools.

Unlike conventional exchanges, BakerySwap doesn’t rely on order books to match buyers and sellers. Instead, it utilizes liquidity pools where assets are supplied by its users and supporters. In return for providing liquidity, users receive liquidity provider (LP) tokens proportional to their contribution. These LP tokens can subsequently be converted back to the original assets based on the user’s share of the pool, with liquidity providers earning trading fees as compensation.

Central to the BakerySwap ecosystem is the native BEP-20 governance token, BAKE. Users can earn BAKE either by staking the token itself or by providing liquidity to the platform and then staking the resultant BLP tokens. Beyond being a reward mechanism, BAKE tokens allow holders to earn a portion of the platform’s trading fees and play a pivotal role in the governance processes of BakerySwap, ensuring community participation in decision-making.