Treeova is an AI-powered options trading automation platform built for everyday retail traders. Turn plain-English prompts into fully functional trading agents
@ChrisStocksss@WheelieInvestor You need to figure out how to implement Lossless Context Management (LCM). There is a lot to this, Claude pitches to customers they can create a trading agent or system really easy. Its not the case. Key is to keep grinding. Innovative minds and creativity! You got this! 🦾
bitcoin:native is looking prime for those who have been patient. However, don't want to be too patient because you might miss this.
Buy Zone 1: 200 SMA
Buy Zone 2: (Green Box) 0.786 Fib line.
This was the plan 6 months ago and is still the current plan.
NFA. DYOR.
🚀 Looking for 5 Founding Testers to Help Shape the Future of Retail Options Trading
At Treeova, we’re building a no-code AI platform that lets everyday options traders turn plain English ideas into automated trading strategies — without needing to code.
We believe the future of trading should be more accessible, intelligent, and passive for those who want to put their capital to work smarter.
Right now, we’re in the very early stages and are looking for our first 5 serious testers (TT1 Group) to join us at the ground floor.
What you’ll do:
- Test the platform using paper trading (zero financial risk)
- Build and test automated options strategies
- Provide honest feedback on user experience, features, and workflow
- Work directly with the founders and help shape product direction
Who we’re looking for:
- Individuals with real options trading or investing experience
- People who want a more passive approach to managing their trading capital
- Thoughtful communicators who can give structured product feedback
This is a rare opportunity to influence the development of a tool built specifically for retail traders like you. As we grow, early testers will receive priority access, incentives, and recognition.
If this sounds interesting, comment “Treeova” below or send me a direct message with a quick note about your trading background.
Please share this post with anyone in your network who actively trades options or invests — even if it’s not you. Our goal is to find the right 5 people who are excited to build this with us from the roots.
Looking forward to connecting with the right group of traders.
#OptionsTrading #FinTech #RetailTrading #AITrading #TradingAutomation
🚀 Looking for 5 Founding Testers to Help Shape the Future of Retail Options Trading
At Treeova, we’re building a no-code AI platform that lets everyday options traders turn plain English ideas into automated trading strategies — without needing to code.
We believe the future of trading should be more accessible, intelligent, and passive for those who want to put their capital to work smarter.
Right now, we’re in the very early stages and are looking for our first 5 serious testers (TT1 Group) to join us at the ground floor.
What you’ll do:
- Test the platform using paper trading (zero financial risk)
- Build and test automated options strategies
- Provide honest feedback on user experience, features, and workflow
- Work directly with the founders and help shape product direction
Who we’re looking for:
- Individuals with real options trading or investing experience
- People who want a more passive approach to managing their trading capital
- Thoughtful communicators who can give structured product feedback
This is a rare opportunity to influence the development of a tool built specifically for retail traders like you. As we grow, early testers will receive priority access, incentives, and recognition.
If this sounds interesting, comment “Treeova” below or send me a direct message with a quick note about your trading background.
Please share this post with anyone in your network who actively trades options or invests — even if it’s not you. Our goal is to find the right 5 people who are excited to build this with us from the roots.
Looking forward to connecting with the right group of traders.
#OptionsTrading #FinTech #RetailTrading #AITrading #TradingAutomation
I lost $80k my first trading year.
In the blink of an eye, what started off as $300 days, to then $1k days, to $10k weeks, to hitting my first several $100k months last year, to now, hitting $100k weeks consistently this year, week after week.
I’ve loved every bit of my 5 year journey.
I truly think I have a gift, and I will continue to share it.
Breakouts spotted in CMND and ASTC—AI-powered tools can flag them for paper‑trade testing and Kelly sizing. Explore the setup with Navigator. #OptionsAI#RetailTrading
Are institutionalindecision really happening? SPY & QQQ neutral signals, dark‑pool flow flat. AI‑powered analysis of real‑time market data shows no clear direction
MCP is perfect for single-broker simplicity.
Treeova shines when you want more depth and flexibility across brokers.
Both can coexist.
Who’s testing Robinhood’s MCP right now? Drop your thoughts👇
What are you building with agentic trading?
@mytwillot Smart play, have you considered offering that to the merchant layer of the x402/MPP? There are plenty of agents who would pay for that on demand
# The Smart Money Flow Hierarchy: What Actually Works
Most "smart money" flow signals are noise. Retail traders get flooded with data—unusual options activity, dark pool prints, gamma exposure shifts—but chasing every tick leads to random results. After months of backtesting and live modeling, we’ve distilled a hierarchy that separates real institutional footprint from market chatter.
## The Hierarchy: From Top to Bottom
### Tier 1: Delta-Adjusted Institutional Flow
Not all options flow is equal. A block trade of 1,000 calls at the ask looks bullish, but if delta is tiny (deep OTM), the actual directional exposure is negligible. We filter for **outlier-sized trades with high delta exposure**—these are the only prints that consistently precede price movements of 2% or more within 3 sessions.
### Tier 2: Dark Pool Volume Divergence
Dark pool prints reveal where institutions are accumulating or distributing without moving the lit tape. The signal becomes actionable when dark pool volume exceeds 30% of total daily volume **and** diverges from price direction. For example, if price drops but dark pool shows aggressive buying, accumulation is likely underway.
### Tier 3: Gamma Ladder Positioning
Gamma exposure (GEX) shows where market makers must hedge. When dealer gamma turns heavily negative (short gamma), volatility spikes accelerate; when positive (long gamma), markets become sticky. We use GEX ladders to identify **key strike prices** where hedging flows will create support or resistance—often with 80%+ accuracy in the next 2–5 days.
### Tier 4: Unusual Options Activity (Volume/IV)
This is the most commonly cited “smart money” signal—and the most prone to false positives. We only act on UOA that shows both **above-average volume** (≥2x the 20-day average) **and** above-average implied volatility rank (≥60). Even then, it’s a secondary confirmation, not a stand-alone entry.
## How We Combine Them Into a Single Signal
Our algorithm assigns weight to each tier based on real-time backtested correlation:
- Tier 1: 45%
- Tier 2: 30%
- Tier 3: 20%
- Tier 4: 5%
When all four tiers align, the composite signal has historically outperformed any single source by 3:1. But the real value is in the **absence** of alignment—when Tier 1 and 2 conflict, we stay flat, avoiding 70% of false breakouts.
## Practical Rules for Traders
1. **Don’t chase every dark pool print.** Wait for Tier 1 or 2 confirmation.
2. **Ignore UOA unless delta and volume thresholds are met.**
3. **Use gamma ladders as risk management**—set stops just below/above major GEX walls.
4. **Backtest your own hierarchy.** Every market regime shifts the optimal mix.
At Treeova, we automate this exact logic. Our engine scans 30+ data feeds every second, assigns dynamic weights, and generates execution-ready setups—so you don’t have to drown in the noise.
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*No strategy guarantees returns. Past performance is not indicative of future results. Trade at your own risk.*
Treeova lets you run agentic trading across Robinhood + Tastytrade + Webull + more in one unified workspace.
No need to switch apps or manage separate agent accounts.
Use our Arch-AGI agents with natural language prompts, build strategies with visual Logic Trees, and execute directly.
#optionstrading #AgenticAI
Robinhood just announced they are incorporating MCP Agentic Trading.
We provide another alternative than MCP for those wanting to use agentic trading in their Robinhood account.
#robinhood#Agentictrading
https://t.co/jzjQPFdB4m
ZS -29%, QTTB +80%? June 3 holds key catalysts: ISM Services & Beige Book. These could shift rate path expectations. Traders watch IV term structure for timing cues. #MarketAnalysis#Options