tangu

[Minara AI @minara]

Nice to be included here.

Minara is using @BinanceWallet Web3 API to make market data and trading access smoother for strategy builders.

More to build. 🫡

[Minara AI @minara]

Minara AI Copilot new asset added:

$UNITREE - Unitree Robotics

> Unitree Robotics is one of the top Chinese AI robotics company focused on quadruped robots, humanoid robots, and core robotic components. Its key products include the Go-series robot dogs and the G1 and H1 humanoid robots.
> June 2025 C round: ~RMB 12bn (~US$1.7bn) pre-money valuation; widely viewed as a Pre-IPO round.
> Investors: Tencent, Alibaba, Ant Group, China Mobile-affiliated funds.
> IPO: STAR Market registration became effective in July 2026; planned fundraising: ~RMB 4.2bn (~US$590m).

[Minara AI @minara]

your agent with @Cloudflare wallet can actually call Minara x402 endpoints for full-stack asset research (tradfi / crypto / onchain) and trading advices. 🫡

Check it here:
https://t.co/qn7112iUpG

[Minara AI @minara]

The smart buy the dips.
The wise watch the waves. ☕️

[Minara AI @minara]

Four execution ticks can take a $7.50 MES edge to $0.10. A fifth turns it negative. We break down the fees, slippage, event risk, and roll assumptions a futures backtest needs to show. https://t.co/DwKSRL9AM1

[Minara AI @minara]

Something cool approaching. 😉

[Minara AI @minara]

We wrote a new market playbook for this week’s AMD $AMD , Palantir $PLTR , and SpaceX $SPCX catalysts.

It maps the price levels that matter after each event—and shows how to use yields, sector breadth, and price confirmation to decide when to enter, wait, or walk away.

[Minara AI @minara]

Minara JP vibes 🇯🇵❤️

[Minara AI @minara]

Memory and storage are selling off though, this template is built for the next turn. 🏃

New strategy template: Memory & Storage Uptrend Rotation. Rotates across $MU, $SNDK, $SKHY and $Samsung.

Bookmark it and you may need it in near future. ☕

[Minara AI @minara]

While the broader storage sector was selling off, a sharp trader in the Minara community caught a timely long on SK Hynix $SKHY and came away with a solid gain.

Markets reward timing 🫡

[Minara AI @minara]

Six major earnings reports are concentrated across the next two sessions. Here are the scheduled call times and modeled price levels for a beat, inline result, or miss.

Earnings schedule (UTC)

- Wed, Jul 29
- $META: results after the US close; call at 20:30 UTC
- $MSFT: results after the US close; call at 21:30 UTC

- Thu, Jul 30
- $AAPL: results after the US close; call at 21:00 UTC
- $AMZN: results after the US close; call at 21:00 UTC
- $COIN: results after the US close; call at 21:00 UTC
- $MSTR: results after the US close; call at 21:00 UTC

Modeled post-earnings price levels

- $AAPL — reference price: $340.08
- Beat: $351.98 midpoint; $349.60–$356.74 range
- Inline: $340.08 midpoint; $334.13–$342.46 range
- Miss: $324.61 midpoint; $318.65–$326.99 range
- Watch: iPhone, Services, gross margin, next-quarter guidance, and Apple Intelligence monetization

- $AMZN — reference price: $230.86
- Beat: $249.28 midpoint; $245.29–$254.89 range
- Inline: $230.86 midpoint; $224.44–$237.28 range
- Miss: $211.63 midpoint; $205.23–$214.84 range
- Watch: AWS growth, operating income, Q3 guidance, capex, and retail margins

- $META — reference price: $593.41
- Beat: $646.94 midpoint; $637.20–$661.53 range
- Inline: $593.41 midpoint; $569.08–$608.01 range
- Miss: $535.02 midpoint; $515.55–$544.75 range
- Watch: ad impressions and pricing, Q3 revenue guidance, 2026 capex, and operating margin

- $MSFT — reference price: $393.35
- Beat: $419.70 midpoint; $414.43–$427.61 range
- Inline: $393.35 midpoint; $377.54–$398.62 range
- Miss: $361.72 midpoint; $351.18–$367.00 range
- Watch: Azure growth, commercial RPO quality, FY2027 guidance, capex, and returns from AI investment

- $COIN — reference price: $167.90
- Beat: $183.83 midpoint; $180.16–$189.96 range
- Inline: $167.90 midpoint; $160.55–$175.25 range
- Miss: $151.97 midpoint; $145.84–$154.42 range
- Watch: transaction revenue, take rate, subscriptions, stablecoin revenue, expense guidance, and crypto volumes

- $MSTR — reference price: $96.16
- Beat: $106.10 midpoint; $103.39–$110.62 range
- Inline: $96.16 midpoint; $89.83–$102.49 range
- Miss: $85.31 midpoint; $79.89–$87.12 range
- Watch: BTC Yield, BTC per share, dilution, funding, mNAV, and Bitcoin’s price around earnings

EPS and revenue are only the first pass. Guidance and capex can outweigh a headline beat for $META, $MSFT, and $AMZN, while crypto market moves can override the reported numbers for $COIN and $MSTR.

[Minara AI @minara]

Meet our 3rd batch of strategy wizards 🧙

May the early alpha (and the returns it brings) be with you. 😼

[Minara AI @minara]

This article is based on a Minara AI analysis conducted on July 28, 2026. Read the original analysis here. 👀
https://t.co/Spt82sjdhx

[Minara AI @minara]

https://t.co/YaoMIxy6M2

[Minara AI @minara]

We care about data security and user privacy 🫡
That's why we are working on privacy mode / privacy stack for strategy authors.
Stay tuned.

[Minara AI @minara]

Fractal Dynamics by @AnastasiosBikos returned +248.84% in a three-month backtest, with a +1,011.74% annualized return during a broad market selloff. 🫡

The strategy combines a fractal regime classifier with multi-horizon momentum and volatility signals to take regime-aligned long and short positions. Inverse-volatility sizing adjusts exposure, while portfolio take-profit, trailing-profit giveback, maximum holding periods, and hard drawdown stops manage risk. Strong reversal signals can override the regime filter and flip the position.

See the full report and import the strategy to your Autopilot on Minara in the replies ↓

[Minara AI @minara]

While $GOOGL was bleeding, @Cz_Douya built an impressive 1h $GOOGL strategy that backtested at a 520.9% annualized return 🫡

Strategy frame:

Reduce targetAtrMultiplier from 7 to 5.5 while keeping shorts at 7, creating asymmetric profit targets that favor the lower historical win rate direction. Longs at 45% win rate may be overreaching with 7x ATR targets; compressing long targets improves realized R:R and hit rate on the long side, directly improving overall Sharpe through better long trade efficiency.

Take a look 👀👇
https://t.co/N5kNINSOEp

respects @Cz_Douya 🫡

[Minara AI @minara]

🫡 @ehwangah @Kevin_Paraguay @text2dex @heyjae41 @mingyu_wtf @bjysla2016 @lucky77_god @TinThong349288 @HHogn53886 @Henry_xdb @leorio8697 @Cqy4ZDH3k8aF3Lv @Abdool_xx @innerpeace300 @cuti_info @Sir_I_U @gimsuhwan2379

[Minara AI @minara]

Meet our second batch of Strategy Wizards 🧙

Congrats to our very early ecosystem builders.

[Minara AI @minara]

Direction gets the attention, but timing does the heavy lifting. ☕️