In addition, DeepSeek V4 Pro is also available through a free endpoint, offering an impressive 1 million token context window supported by an efficient Mixture of Experts architecture. This capability has significantly enhanced my productivity when working on complex coding projects. I truly appreciate the technological innovation delivered by both @kilocode and @nvidia , as access to such powerful tools at no cost is extremely valuable.
I am genuinely impressed by the flexibility offered by @Kilocode, particularly its ability to support custom providers. I am utilizing the @nvidia endpoint with the model Z-AI/GLM4.7, which has proven to be both reliable and efficient for my development needs.
Live position update from my trading bot!
Opened LONG on XRPUSDT Perpetual @binance 📈
Leverage: 20x (Cross Margin)
Entry: 1.4762
Mark: 1.4769 | Liq?: 1.4778 | Entry Liq?: 1.4025
🚀 Trading bot alert!
XRP up +3.18% at $1.48 in 24h! 📈
Bot auto took LONG position (65/100 confidence, +15 vs neutral).
Signal: 57% prob, MEDIUM risk.
Entry: ~$1.44
Target: $1.60
Risk: 0.0012%
Profit is profit, right? Haha the bot just took profit on $LTCUSDT on @binance .
I’ve been refining its decision making logic after noticing it previously held through nearly a 20% drawdown without triggering a stop loss, as the model remained structurally bullish.
The LLM is integrated with @obsdmd as an external knowledge/context layer, allowing me to continuously update its decision framework, market heuristics, and execution logic in real time.
Still iterating, but the system is becoming increasingly adaptive with every cycle.
Sorry, OpenClaw + Mac Mini feels a bit overrated to me.
My bot runs just fine on a custom Linux CPU build no aesthetic setup, no “AI guru” starter pack. 😂
I wrote my own custom LLM system prompts via @OpenRouter, handling everything from analysis to trade execution.
Currently holding a position in LTCUSD.
I see an exciting opportunity to turn arbitrage in onchain prediction markets into my next project: building a simple bot that detects market rebalancing arbitrage on @Polymarket , mapping dependencies between markets using an LLM based approach, and integrating it into an MEV research pipeline so that prediction markets become not just “guessing sites,” but a real world lab for MEV and a new frontier in the DeFi ecosystem.
Good game, my bot.
Even though it only took a position on $AVAX yesterday, its macro prediction for $BTC turned out to be fairly accurate.
That shows the model is not simply taking random entries it is beginning to understand market structure, momentum, and broader sentiment direction.
One trade may be executed, but the real validation lies in accurately reading the market as a whole.
Step by step, precision is improving.
$BTC LONG Score: 73/100 (+23 vs neutral) Win probability: 65% Range: $70,422 → $76,201
No rush. No overtrading. When it finally enters it means something.
Let’s see if patience pays.
Sorry, OpenClaw + Mac Mini feels a bit overrated to me.
My bot runs just fine on a custom Linux CPU build no aesthetic setup, no “AI guru” starter pack. 😂
I wrote my own custom LLM system prompts via @OpenRouter, handling everything from analysis to trade execution.
Currently holding a position in LTCUSD.
I’ll keep sharing continuous updates on the development of my custom LLM model, built with its own specialized system prompt. If it achieves strong win-rate performance, I plan to deploy it to a server and make it accessible for everyone to use. Excited to see how far this can go 🚀
@AntSeedAI@binance@HyperliquidX@base That sounds like an excellent idea. I will look into how AntSeed can be integrated and evaluate the feasibility of building the system fully peer-to-peer with BitTorrent and onchain on @base .