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Air Date: May 22, 2026 We’re back with Episode 8 of The Bot Pod! This week, Mike and Fede recap Botcamp Cohort 13’s demo day—digging into the two standout strategies built on Condor—share an updated schedule for the Condor Builders Cup, and demo a big new Condor capability: watching your live bots in real time, with controller snapshots saved every five minutes so you can finally see how P&L evolves over time.

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Episode Highlights

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Cohort 13 Wrap-Up

0:00 — The hosts open with Botcamp’s 13th cohort, just wrapped: eight strategies demoed, and—both agree—noticeably higher quality than prior cohorts. The reason is AI. Students used Condor to analyze their strategies and build their controllers, iterating far faster than before.
“We’re finally seeing the power of using AI in quant trading.” — Mike

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Market Discussion: HYPE FOMO & Pre-IPO Stock Perps

2:00 — A bit of self-deprecating honesty: last week they talked up Hyperliquid moving into TradFi via pre-IPO names like Cerebras—but never actually bought HYPE at 42.It′snow 42. It's now ~58, having touched $62. They also dig into the new stock perp markets, where thin liquidity creates fat-finger arbitrage opportunities (Fede spotted a ~2% deviation on Microsoft), but where depth is still too shallow for institutions to size up.
“We talked about it, but we didn’t actually put anything into action.” — Mike

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Equities Connectors & Binance Prediction Markets

5:00 — Because equities market makers can easily quote a stock perp and hedge in the spot market, Mike floats adding an equities connector (Alpaca or Interactive Brokers) to Hummingbot so users can do the same. Meanwhile Binance has launched prediction markets and SpaceX trading—catching up to Hyperliquid, which does it all with 11 employees vs. Binance’s ~10,000.

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Q&A: Agent Backtesting & Shorts

7:00 — Answering MJ Lee, the hosts say agent backtesting is coming, but for now you can already backtest V2 controllers in Condor’s Bots tab. On a request for TikTok-style shorts: Carlito is already chopping these Friday sessions into clips for YouTube, Twitter, LinkedIn, and Reddit.
“We’re a lot better at building stuff than we are at talking about it.” — Mike

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Condor Builders Cup: Revised Schedule

10:00 — The hackathon is being pushed back about a month so Fede can extend the agent framework first—soon agents won’t just launch executors, they’ll manage and reconfigure sets of controllers. New timeline: the build period runs June 19 – July 10 with workshops along the way, followed by judging with sponsors, and a 48-hour live competition the week of August 3rd. Registration is already open.

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Demo Day: Wei Hong’s Cross-Exchange Perp Market Making (2nd Place)

13:00 — Wei Hong rebuilt core Hummingbot components to do cross-exchange market making on perpetual connectors—traditionally a spot-only strategy. His version scans perp markets for opportunities to go long on one venue and short on another, capturing both the price spread and the funding-rate difference. He ran it live: long the stable USDT pair on Binance, short on Hyperliquid.
“Conceptually, you’d be in a position where you’re getting paid to enter, and you earn the funding rate along the way.” — Mike

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Demo Day: Raj’s “Market Making at the Touch” (Winner)

18:00 — The winning strategy turned market making into a stochastic optimization problem (drawing on an academic paper Mike attributes to Cartea & Penalva). It precomputes a policy, then runs 300-second cycles of placing and liquidating orders rather than recomputing every tick. Raj ran it live on Hyperliquid: 120K+ in volume on a few thousand dollars of capital, with basically flat P&L.
“This strategy is very close to what professional market-making firms—even the algorithmic ones—are running.” — Mike

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Why Condor vs. General-Purpose Agents

23:00 — Responding to a question about adding Hermes support, Mike explains the thesis: general-purpose harnesses are great, but trading is quantitative, not qualitative. A trader needs the agent to not hallucinate, not make mistakes, and run fast. That’s why Condor offloads core logic to deterministic routines (Python files) and uses the LLM sparingly—both for reliability and token efficiency.
“Condor is structured to minimize the tokens used for decision-making, and offload the core logic to routines, which are deterministic Python files.” — Mike

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Demo: PMM with Take Profit, Stop Loss & Position Hold

27:00 — Fede demos his work-in-progress PMM controller with global take-profit / stop-loss and a limit chaser. The key concept is position hold: when a position executor fills but the market doesn’t reverse, instead of dumping it, the position is moved into an “effective position”—a long-run inventory bag the bot manages as a whole. Take-profit only triggers once inventory passes a minimum threshold, and stop-loss only once it hits the target—so the market maker has room to improve its entry price before ever taking a loss.

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New Runs Tab & Real-Time Bot Monitoring

35:00 — Condor gets a new Runs tab (likely to replace the older Archive tab) and, more importantly, real-time bot monitoring. Until now you could only see a snapshot of a bot’s current state. Now every running controller is dumped to the database every five minutes, giving you the full progression of realized/unrealized P&L and volume over time.
“Can we make something that actually lets you see the bot in real time while it’s running? That was the goal.” — Fede

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Five-Minute Snapshots & Custom Controller Info

37:00 — The data flows over MQTT (keeping the bot lightweight) and is collected by the Hummingbot API—the same mechanism already used for portfolio history. Beyond the standard metrics, a new get_custom_info method lets you push any custom field from your controller into the snapshot stream.

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Live Deployment & On-the-Fly Config Updates

42:00 — Fede deploys a single bot (Docker container) running three controllers across three markets in seconds, then shows off live updates: you can change a controller’s config and push it to the running bot without restarting. Controllers define which parameters are updatable—change the connector name and it’ll safely refuse.

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Combined P&L Across Controllers

45:00 — Once there are enough snapshots, Condor charts the combined P&L of every controller you’re running—and lets you toggle individual lines. Run five algorithms and see them as one portfolio, or drill into any single one.
“I’m running five different algorithms, and this is the combined performance. This will be a game-changer for the agents.” — Fede

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Resources