Red Thunder retweeted
Every trade provides an opportunity to learn, but only if you understand the patterns behind your decisions.
Thesis AI automatically tracks trading activity, identifies recurring behaviors, and highlights where your strategies perform best.
Turn past performance into valuable insights for future decisions.
Look back. Learn from the data. Trade forward.
Thesisai.family
Red Thunder retweeted
A single profitable trade doesn’t prove a strategy works.
Thesis AI provides signal history and backtesting data, helping traders evaluate performance beyond isolated results.
Consistency matters more than screenshots. Real credibility is built over time.
Track the signals. Verify the performance.
Thesisai.family
The @thesisAI_family team shipping while most of ct panic selling. This will be obvious in hindsight sight.
Thesis AI Product Update
Here’s what’s live today and what we’re building next.
☑ Buy and Sell — Live on BNB Chain and Solana
Execute buys and sells directly on Thesis AI across both supported chains. Try the trading experience and share your feedback.
🔜 Sell Limit Orders — Coming Shortly
Define your exit levels in advance with:
• Stop-loss settings to plan when to exit a losing position.
• Take-profit settings to plan when to exit a profitable position.
These tools will give you more control over your exits and position management.
🤖Cipher Learning — Coming in a Future Update
We’re building a trading companion designed to understand your approach and provide more relevant guidance. Planned capabilities include:
• Learning from your activity: Use your interactions, stated preferences and recorded trades to understand your trading style.
• Personalized guidance: Tailor support around what matters to you, including the market caps and liquidity you research.
• Adaptation over time: Adjust its guidance as your preferences and trading approach evolve.
• Optional learning controls: Switch learning on or off whenever you choose.
• Your preferences come first: Explicit instructions, such as your preferred maximum position size, will take priority over what Cipher infers from previous activity.
Our goal is to bring trade execution, tools for managing exits and personalized AI guidance together, helping you make more informed decisions while keeping you in control.
Watch the video, try live trading, and help us improve the experience.
🌐 Website: thesisai.family
𝕏 X: @thesisai_family
📊 DEX Screener: $THESIS — BNB Chain
Find the thesis before the crowd does.
Red Thunder retweeted
Live with @lateniteonchain
Tune in!
Live in Singapore at Token 2049- w/ Thesis AI xitter.cf/i/broadcasts/1AJEmvdWq…
This is incredible, Gary is the goat.
Luna ARR is at $360k in 65 days
ZERO employees
Just me and Luna running this!
Gary.club/luna
Red Thunder retweeted
Thesis AI takes the spotlight in a live Onchain stream, showcasing real-time market data, analytics, and wallet intelligence.
The first leveraged $SPCX quote token available, on any blockchain.
Super proud of the @vectisfamily being the very first to do something like this, and a huge shoutout to the @arcus_xyz making this possible.
LEVER UP 🖖🏽
New Pairing: SPCX 3x LONG
We are pleased to announce the first of several exciting new pToken pairings that we deployed on @arcus_xyz with the help of their team.
Available for deployment now, only on vectis.family
Get ready for lift-off!
It’s a good day to have a @StackerAgent running. Just wait until I get a bit more data and I turn this tf up. Money printer going to go brrrrrrrrrrrr.
Red Thunder retweeted
Ive noticed something after doing 1000+ hours of rigorous testing and comparing of indicators to the @w00dsbot indicator:
#1: There is truly no magic indicator out there.
#2: Many developers like to name there trading indicators something super fancy to catch your eye and “sell you” on it. Woodsbots is legit just called support / resistance indicator.
#3: If you see multiple battle tested confluences lining up around indicator levels its probably a solid indicator. (as you can see on $NEAR we have an S/R level with fib confluence & RSI 50 level retest).
#4: Many indicators were flagging lower on this move down (around the 75k - 74k level) while the Woodsbot Indicator adjusted to current price action, and gave solid support levels.
#5: if your consistently getting front ran or sidelined because you waiting for indicator levels to get hit, its probably a trash indicator.
Overall the major takeaway is use an indicator that not only works for you, but is consistently being worked on by the teams developers. Because if a indicator isnt adapting to trends or price action, its a dying indicator.

























