TradeChainly
Crypto trading journal with Claude & ChatGPT coaching
What it does
TradeChainly is a crypto trading journal for traders who want to keep their trades, performance data and journal in one place. Trades can be synced from Binance, Bybit, Coinbase, Crypto.com, Kraken, KuCoin and OKX, or added manually. TradeChainly includes performance reports, trade-level analysis, tags, setups, mistakes, ratings, notes and multiple trading accounts. Users can also connect Claude or ChatGPT to their TradeChainly data through read-only access and use them as a trading coach.
Sync trades from 7 crypto exchanges and see what your spot and futures performance really looks like. 7-day free trial, no credit card required.
Ask Claude or ChatGPT about your own trading, with answers grounded in your real data. Sync your trades into TradeChainly, connect Claude or ChatGPT, and get answers based on your real trading data. Chased entries were your biggest drag. They cost you -$1,247 across 13 losing trades, out of the 48 trades you tagged with a mistake. Chased entries were your biggest drag. They cost you -$1,247 across 13 losing trades, out of the 48 trades you tagged with a mistake. See what traders have to say about their experience with TradeChainly. As a swing trader, the trade reports are pure gold. I spotted sizing mistakes that were killing my returns, fixed my risk per trade, and everything turned…from tradechainly.com
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com