- Filter for 30D price change using @tokenterminal - Look at top projects and investigate why it pumped - Use X advanced search to find who talked about it before the run - Look at any metrics that could be a signal. (E.g. Revenue, trading volume, price pattern etc) - Work backwards and journal down the reasons. If there was no way to know ignore it - This helps you understand why projects move and what to look out.
I used AI to backtest a trading strategy with zero coding knowledge.
- I fed o3 the full BTC price history. - I explained my trade idea to it with my rationale. - Had it generate the Python code for the backtest. - Guided me through the set up with Google Colab. - Fed the data back to o3 and had it analyze results. - Optimized the strategy through various questions.
I don't expect it to be perfect, but it's cool how anyone can back test ideas now.
@TRDR_io: Orderbook data & solid indicators @_dexuai: Nice for tracking sector & narratives @CieloFinance: Best tool for wallet tracking @DefiLlama: For checking TVL & revenue changes @ExochartsC: For TPO charts @tokenterminal: Comprehensive project data @GeckoTerminal: Best on-chain screener @coingecko: Use this daily to get broader overview @CryptoBubbles: Top down overview of alts @Dune: Useful community dashboards @Blockworks_: Data metrics @artemis: For fundamental analysis
- Check @DefiLlama for top TVL changes ($5M min) - Look for @tokenterminal metrics for momentum - Check distribution on @GeckoTerminal & bookmark notable projects - Check orderbooks, VWAPs, etc. with @TRDR_io - Track notable wallets with @CieloFinance - Find top gainers on @coingecko & @CryptoBubbles - Read @thedailydegenhq for daily updates - Find sector performers with @dexuai
@openmind_agi: Operating system for robots @bulletxyz_: Aiming to be the fastest CLOB @clankeronbase: New v4 improvements for new launches @GammaSwapLabs: Watching for their yield token launch @glider_fi: Portfolio automation platform @katana: New chain introducing chain owned liquidity. @GearboxProtocol: Seeing a rise on various metrics for lending. @m0: App specific stablecoin platform @byreal_io: New DEX on Solana incubated by Bybit @Humanityprot: New chain that verifies humanity @LiquityProtocol: Interested in BOLD & their stability pools @inkonchain: Recently announced their token
- Pull historical price data from @coingecko to o3 - Have o3 look through @CryptoRank_io for token unlock information. - Feed it revenue & TVL information off @DefiLlama - Tell it to look through the project @Dune dashboard - Show charts with @tradingview - Have it go through tokenomics documentation - Tell it provide investment analysis on whether they think this is undervalued. - Ask questions like "Is this good value right now? If not what are good entry zones?" - You can also ask it to calculate fair value, bargain zones, and more. - Set price alerts with @GeckoTerminal
@aboutcircles: Interesting trust experiment @FalconStable: Synthetic stablecoin protocol @avantisfi: Perps for a variety of asset classes @gizatechxyz: Autonomous agent platform @noicedotso: New SocialFi tipping app @LiquidLaunchHL: Hyperliquid launchpad @elfa_ai: Tracks mindshare & aggregates new updates @TheArenaApp: Seeing a resurgence after pivot @ResolvLabs: Delta neutral stablecoin that recently launched a token @defidotapp: Got a nice airdrop. Intuitive experience so far. @0xCoinshift: Potential yield farming opportunities with their points program. @turtleclubhouse: New bootstrapping campaign with Katana.
1. Trying to be early when the meta has changed 2. Using the same strategy as las time 3. Being too critical on experiments 4. Trading impulsively instead of thinking on trades 5. Flip flopping trades because I was afraid to lose 6. Playing to not lose instead of playing to win 7. Being too conservative on the bottom 8. Not focusing on trading with an edge 9. Trying to make it back instead of accepting losses 10. Chasing trends instead of trading what I believe in