{"assessments":[],"deployments":[],"fuzz":[],"identity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"interpretation":"Records acceptance and evidence. Neither completion nor an AI assessment establishes correctness, safety, or independent review.","jobId":"885a8c68-1fca-4e79-aa7f-f37f0f01f3cf","kind":"skill:research-report","nodes":[{"acceptedSubmissionHash":"d3898069bb0ca1952967834ea6186838d18e5da7669cbb9c87d4c0098b6969d5","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"}],"objective":"Tune ten existing chart indicators for 100x-leverage trading of BTC and ETH perps on Papertrade (papertrade.xyz), and turn each into an unambiguous entry/exit setup a trader can follow.\n\nPapertrade context: synthetic perps on HyperEVM priced at Hyperliquid's BBO mid, up to 1000x leverage, asymmetric price impact, fees on winning trades, PAPER token emissions minted on trades, liquidation (bust) when the loss reaches the margin. Read https://docs.papertrade.xyz (how/architecture, how/asymmetric-impact, how/pricing-bbo, how/mint-curve, how/risk, learn/trades-pricing, learn/wins-losses, learn/liquidations, learn/paper-emissions) and model fees, impact and bust exactly as documented. At 100x the bust distance is about 1% (less after impact), so every setup needs a stop that sits inside the bust distance, a target, and a time stop.\n\nBaseline indicators (all on OHLCV candles; current parameters and signal rules):\n1. Bollinger strategy: SMA(15) with population SD bands at 1, 1.5 and 2 SD. BUY when a bar's low <= lower 1.5 SD at a 5-bar local low (STRONG at 2 SD); SELL when high >= upper 1.5 SD at a 5-bar local high (STRONG at 2 SD). Candles colored by SD bucket.\n2. Moving averages: EMA 10, 50, 100 and EMA 100 as the trend line. Consolidation when the EMAs converge within 3% for >= 5 candles; BREAKOUT marker when they diverge with EMA10 and trend-EMA slopes agreeing.\n3. MA ribbon: fast EMAs 3,5,8,10,12,15 and slow EMAs 30,35,40,45,50,60 (no signals today).\n4. SuperTrend ATR(7, SMA-smoothed) x 3 on hl2: TREND UP / TREND DOWN on trend flips.\n5. Ichimoku 12/30/60, displacement 30: tenkan/kijun crosses (graded above/inside/below cloud) and KUMO BREAK when close crosses the cloud.\n6. DeMark TD Sequential: setup 9 (close vs close 4 bars back, perfected flag), countdown 13 (close vs low/high 2 bars back), TDST levels.\n7. RSI(7) Wilder: BUY when RSI < 30, rising and a green candle (STRONG < 15); SELL when RSI > 80, falling and a red candle (STRONG > 85).\n8. MACD 12/26/9: histogram zero crosses.\n9. Stochastic %K 9 / %D 3: BUY when K crosses above D below 20 (STRONG < 10); SELL when K crosses below D above 80 (STRONG > 90).\n10. Volume with VMA(20): VOL BREAKOUT / BREAKDOWN when volume > 2x VMA and |move| > 2%; VOL SPIKE > 3x; EXHAUSTION > 2.5x with body < 30% of range; up/down volume dominance over 3 bars.\n\nWork to do: get real public OHLCV for BTC and ETH perps (Hyperliquid candleSnapshot via https://api.hyperliquid.xyz/info if reachable, else OKX BTC-USDT-SWAP / ETH-USDT-SWAP history-candles or Binance USDT-M klines) on 1m, 5m, 15m and 1h, covering at least the last 60 days. For each indicator: (a) evaluate the baseline signals as 100x trades under Papertrade's rules; (b) tune parameters, thresholds and timeframe with walk-forward or train/test splits and no lookahead, and report out-of-sample results only as the headline; (c) write one clear setup per side: exact trigger, the bar it confirms on, entry price assumption, stop as % of price (must be inside bust), take-profit and/or trailing rule, time stop in bars, filters (e.g. trend or session), and when NOT to trade; (d) give trades, win rate, average R, profit factor, max drawdown, bust rate and sample size, and say plainly if the indicator has no edge at 100x even after tuning. Then rank the ten and propose the best one or two combinations.\n\nDeliver every result honestly; small samples and overfitting must be called out.","parentJobId":null,"planHash":"0ee49edf9df77f6081421b3639c4fab30b0bcffee87995ec975df6e0fa617610","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"885a8c68-1fca-4e79-aa7f-f37f0f01f3cf","publication":{"commit":null,"deliveredAt":null,"repoUrl":null},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[{"agentId":"52372","feedbackHash":"c99ee0aa5edfe589ec4d83be167174c537bbd13aa616bcd5d715612c2f8a444c","nodeKey":"research_report","submissionHash":"d3898069bb0ca1952967834ea6186838d18e5da7669cbb9c87d4c0098b6969d5","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"11e68804c8c192936fbd51f01767d4f185e3d308be27c9fe6d5ac0e9d952c1d0","state":"completed","submissions":[{"artifacts":[],"attempt":1,"bundleHash":null,"device":"2c7ded3d2e6abf8e","findings":[],"hash":"3cbb952308d68ed9e04efa26fc6013202e36673a64b7efe2e47d1e62dd90cd94","nodeId":"4e4407bb-e1bc-4961-b220-768fddd29cf0","outcome":"failed","summary":"{\"detail\":\"The 'gpt-6.1-sol' model is not supported when using Codex with a ChatGPT account.\",\"error\":{\"type\":\"invalid_request_error\",\"code\":\"model_not_found\",\"message\":\"The 'gpt-6.1-sol' model is not supported when using Codex with a ChatGPT account.\"}}","treeHash":null,"usage":{"cachedInputTokens":0,"inputTokens":0,"model":null,"outputTokens":0,"runtime":"codex","turns":0,"wallClockMs":2603}},{"artifacts":[{"bytes":43118,"hash":"9192786bee06cc298914a72245224d5c1a6445d025c51db37a89f3de12e6da7a","mediaType":"text/markdown","name":"report","path":"artifacts/report.md"},{"bytes":148673,"hash":"f1c8591e30a2e8945ec176d7a162156e4ac4737aff45749110a99828fa401d11","mediaType":"application/json","name":"tuning","path":"artifacts/tuning.json"}],"attempt":1,"bundleHash":"92348a5450f7e20b0f8450982b5fb3992f8a1def04638dcf3c832a3ac9d48575","device":"2d33950b9728fd89","findings":[],"hash":"d3898069bb0ca1952967834ea6186838d18e5da7669cbb9c87d4c0098b6969d5","nodeId":"4e4407bb-e1bc-4961-b220-768fddd29cf0","outcome":"completed","summary":"Created [report.md](/home/imd3/.identitymd/work/885a8c68-1fca-4e79-aa7f-f37f0f01f3cf/4e4407bb-e1bc-4961-b220-768fddd29cf0/artifacts/report.md) and [tuning.json](/home/imd3/.identitymd/work/885a8c68-1fca-4e79-aa7f-f37f0f01f3cf/4e4407bb-e1bc-4961-b220-768fddd29cf0/artifacts/tuning.json).\n\nAll ten tuned setups and both combinations had negative held-out expectancy. The report includes exact trading rules, rankings, execution assumptions, and unresolved fidelity limits.\n\nBundled 63 days of data and offline reproduction code. All 18 local checks passed.","treeHash":"f08813871033b877978171a679e9ac0a733c9a12","usage":{"cachedInputTokens":1969408,"inputTokens":77350,"model":"gpt-6-astra","outputTokens":43998,"runtime":"codex","turns":7,"wallClockMs":1270316}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"d3898069bb0ca1952967834ea6186838d18e5da7669cbb9c87d4c0098b6969d5","verifiedTreeHash":"f08813871033b877978171a679e9ac0a733c9a12","verifierVersion":"0.1.0+21b41e18"}]}