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I’m part of HoodFellas ($HOOD), a meme project on Robinhood Chain, and wanted to introduce the project and its game. The game centers on forming a family, running jobs, and competing with rival families. The crime-family theme also carries through our character artwork and community branding. The part I’d like people to look at is the game itself and how the family competition works, rather than just the token’s price. The top three winning families will share a total prize pool of $15,000 USD worth of ETH. That is the combined pool across all three families, not $15,000 for each family. The website is [https://hoodfellas.org/](https://hoodfellas.org/) and the game is accessible through the “Enter the Game” button. If you try it, I’d be interested in feedback on the family competition, the onboarding, and anything that could be clearer. For anyone checking the token, these are the project references: Network: Robinhood Chain Token: HoodFellas ($HOOD) Contract: 0x2932B2f5761cadCa5cB3e09D940092cA723D9EE2 Pool: HOOD/ETH on Uniswap v4 DEX Screener: [https://dexscreener.com/robinhood/0xd6a5bc05379b098c59fcc643bb17ce5bb1d8f3e2d417f5d00aa1bd98f88d4521](https://dexscreener.com/robinhood/0xd6a5bc05379b098c59fcc643bb17ce5bb1d8f3e2d417f5d00aa1bd98f88d4521) I’m posting from our project profile so the affiliation is clear. Questions and critical feedback are welcome.

Three weeks ago I posted that none of my 12 pre-registered BTC/ETH spot strategies survived costs and placebo tests. I got a lot of good replies, so here's the promised update. Still paper money only, still spot only, long only. No leverage, no borrowing, no derivatives (hard personal rule, not up for discussion). Short version: still nothing survives. But the testing got better, and I now know a lot better what I don't know. First, a correction In my first post I said I'm collecting liquidation data. That was wrong. I collect order book snapshots, cross-exchange lead-lag, news, scheduled events (FOMC etc.) and since Oct 19 also macro (DXY, US rates, S&P 500, Nasdaq 100, gold) hourly. No liquidations. Sorry to the people who replied on that basis. What I did 1. Replayed my live "sandbox" strategies on 7 years of history The paper bot runs 48 simple rules (breakouts, dips, momentum, RSI, Bollinger, hourly variants with filters). I replayed all of them on 2019–2026 with costs (0.10%/side + slippage), next-candle fills, and a placebo entry with the same exit profile. \- BTC/ETH: 0 of 64 strategy×market combos net positive. Best was "4h momentum, strong" at −0.12%/trade. Placebo was −0.25%/trade, so it is better than random, just not better than zero. \- SOL/XRP: 0 of 86 net positive. Best −0.07%/trade, placebo −0.26 / −0.28%. \- The hourly-candle rules: all 8 indistinguishable from their hourly placebo, all negative. So some rules beat a random entry, but none beat the costs. That pattern was the same on all four coins. 2. Maker fees don't save it Someone suggested limit orders. On my venue maker is 0.08% vs taker 0.10%, so the best case saving is 0.04% per round trip. My best rule is −0.12%/trade. Even with perfect maker fills it stays negative, and as several of you said, maker fills tend to come exactly when price moves against you. I dropped that route. 3. My "48 strategies" are not 48 bets I measured overlap. In the first week of live paper trading there were 1,806 sandbox entries but only 310 distinct market-hours. On average \~2.1–2.2 strategies per independent bet. The whole breakout family (1h/4h/12h/24h + 3 mixes) was 100% identical in entries. So my effective number of tests is much lower than 48, and one market move can tick a lot of boxes at once (same lesson as the 10/10 night). 4. Sequential futility testing The sandbox needs hundreds to thousands of trades per strategy before I can judge anything (deadline July 2027). To stop wasting time on hopeless rules, I pre-registered a futility check with an e-process (e-values, Bonferroni over strategies). It can only declare a rule hopeless earlier, never declare it proven earlier. 5. Plumbing problems I found in my own bot The paper bot's main loop sometimes lagged up to 2.4 s, giving \~800 latency errors in two weeks and about 9 signals rejected because data was too old. Fixed on Oct 28, now measuring before vs after. Lesson: paper trading measures your infrastructure too, not just your strategy. Where I'm stuck. These are the questions I'd really like deep answers on: 1. Multiple testing with heavily correlated strategies 48 rules, \~2 rules per independent bet, clusters that are 100% identical. Bonferroni over 48 is far too strict, over "families" feels hand-wavy. Would you use Romano-Wolf stepdown, White's Reality Check / Hansen's SPA, or estimate an effective number of tests from the overlap? And how do you combine that with sequential testing over time? 2. Defining an "independent episode" Trades overlap in time and across strategies. What's a defensible rule? Merge entries within X hours on the same market? Cluster by drawdown/recovery cycles? Something based on the autocorrelation of returns? I want to fix this before I see the next results, not after. 3. Power, honestly With 0.20% round-trip friction and the sample sizes I can reach by mid-2027, what effect size can I realistically detect? I'll compute a minimum detectable effect per rule, but if you've done this for short-horizon crypto: what's typical? I'd rather hear "your setup can never see an edge under X bps" now than in a year. 4. My last attempt (1 of 13 left) Most of you pointed the same way: forced flows, not price patterns. Liquidation cascades, index/fund rebalancing on known dates, funding resets. The most concrete idea from the thread: buy spot after a liquidation wave is over (open interest stops falling, funding normalizes), hold a fixed window, compare against random entries with the same hold time. \- How do you define "the wave is over" using only data up to t, without it quietly becoming "price stopped falling"? \- On spot only, does this survive 0.20% round trip at multi-day holds, or does it mostly exist on perps? \- Any documented retail-reachable flow with a known calendar (rebalances, unlocks, ETF flows) that you'd pick over liquidations? 5. Paper vs live I fill at the next price + slippage and assume full fills at €500 per trade. What did you see going live at small size on BTC/ETH: partial fills, queue position, latency? What would you add to a paper model before trusting it? What's running now Paper bot 24/7 on real OKX prices. 48 sandbox rules on BTC/ETH and 48 on SOL/XRP (always kept separate, never summed), each with a pre-set trade count and deadline. First evaluation moment is mid-December. Next update then, pass or fail. Thanks again. The replies in the last thread changed the test more than anything I read elsewhere.

If we all look in the mirror at midnight and say "Sunday Pump" 5 times then ETH will break above $2250. Don't let us down.

use a swapping service like thorswap/near and trade it for erc20 USDC and a bit of ETH for gas fees (if you need it). USDT has been banned in North American exchanges and replaced with USDC for at least a year now. You should be able to swap it right in metamask.

Feedback on my long-term crypto DCA strategy (BTC/ETH) + staking

Equally BTC, ETH, SOL, XRP, LINK, HYPE, ZEC, DOGE, TAO, NEAR.

Bitcoin is a store of value and has its place as the native currency of the internet. I own it but focus on alts that will be rails for the future of commerce (I think). So my bag is $ETH, $SOL, $TAO, $SUI, $VVV, $NEAR. Call me a shitcoiner but hey I like to experiment 🧪

>**An AI bungle,** >**Security stays humble,** >**Through the dark jungle.** ~Daily haiku until we’re at least at 0.178 on the ETH/BTC ratio or highest market cap

ETH became almost uninvestable with the advent of agentic ai. I really don't see the ecosystem surviving (much less growing and developing).

The downfall of David Hoffman will be studied. Man could have had it all but decided to go crazy. And I am not only talking about giving up ETH (after starting the triple point asset idea) but more his political path. Is that drugs or did he go crazy?

Solana better than ETH if I’m honest, but I’m not sure how they act as assets since their supply varies with usage

BTC, ETH, SOL, UNI, HYPE, and sprinkle in a couple AI or meme fun plays. The big thing being with alts, is taking profit and rolling it back into BTC to store

​I am writing this to place an official, urgent notice regarding the ongoing and active fraud investigation related to my P2P order 22805267579357126656 (amount: 12.93 ETH / \~€40,000). ​I want to make sure your higher team has the exact legal references and facts, because closing this case without a proper review protects a scammer who manipulated the system. Here are the concrete details of my case: ​Binance Order No: 22805267579357126656 ​Official Criminal Investigation File (Ankara Chief Public Prosecutor’s Office): Case No: 2025/226431 (Ankara Cumhuriyet Başsavcılığı - Bilişim Suçları Bürosu). ​The Core Fraud Evidence: The counterparty instructed me via the official Binance chat to send the funds to an alternate account (Payeer P1111560774 / MB Bank). I followed the instructions provided inside your chatbox and transferred the funds. Immediately after receiving the money, the seller claimed his account was "hacked." ​The Scammer's Own Contradiction: During the dispute, the seller himself uploaded screenshots/evidence proving that he had previously given the exact same Payeer ID to other traders. This completely shatters his "hacked account" excuse and proves premeditated, repeated fraud. ​Why I am reaching out now: Due to international bureaucracy and cross-border delays between Turkish authorities and foreign platforms, official digital paperwork through channels like Kodex takes time. However, a formal criminal investigation was officially opened under file number 2025/226431. ​Closing this dispute prematurely and allowing the scammer to walk away with 12.93 ETH based on a fake "hack" claim—while ignoring undeniable chat logs and transaction patterns—is completely unacceptable. ​I expect Binance's compliance and security team to re-examine this file thoroughly, review the seller's previous trade history and contradictions, and freeze/hold any further movement until justice is served. I have all bank slips, chat histories, and official prosecutor documents ready. ​Regards, Rafet Nasır (Binance User / Victim of P2P Fraud)

This post is about Altcoins. * **Even ETH (the largest and most prominent alt) is down over 50% in 5 years** * **BTC itself is only up 20% in 5 years** You also ignored everything I said about tax. Crypto has been an objectively terrible investment

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**Tricky's Daily Doots #1,647** **Yesterday's Daily 06/11/2026** [Previous Daily Doots](https://old.reddit.com/r/ethereum/comments/1xp5f9x/daily_general_discussion_november_06_2026/19s87qhbprpvk/) - u/haurog announces [the next Devcon location.](https://old.reddit.com/r/ethereum/comments/1xp5f9x/daily_general_discussion_november_06_2026/19s82t4wnucao/) 🇵🇹 - u/abcoathup delivers [the weekly Ethereal news.](https://old.reddit.com/r/ethereum/comments/1xp5f9x/daily_general_discussion_november_06_2026/19s86ev6lyite/) 📰 - u/ethdaily delivers [the daily ETH news.](https://old.reddit.com/r/ethereum/comments/1xp5f9x/daily_general_discussion_november_06_2026/19s8zqj7f69j6/) 📰

To me, the key trade-off is that a narrow range earns more precisely because it converts your inventory faster; fees won’t guarantee you end up with the original 1 ETH. I’d compare the position plus fees against simply holding 1 ETH over the same period before changing the range.

Looking to sell my ETH and never come back, one the price hits 3000. Honestly, fuck crypto - my stocks massively outperformed and with less volatility.

Link, ETH, SOL, AVAX, HBAR

Been trading Kalshi’s 15m crypto contracts (BTC/ETH/SOL/XRP) manually and was getting crushed by execution speed in the final 90 seconds. Market makers pull quotes fast and manual clicks just get hit with slippage or missed fills. Ended up building an automated tool (**pulsetrading.shop**) specifically for Kalshi crypto: * Auto-executes IOC entries in your exact custom window (e.g. 150s–30s before close) * Hard stop-loss + forced exit-window sellout so positions don't expire worthless into a reversal * Coinbase spot-guard to avoid entering when underlying spot is hovering too close to the strike * Runs directly on your own Kalshi API keys (keys encrypted, we never touch withdrawals) * Free Paper Lab mode to test rules before putting real funds up Free tier is open right now if anyone wants to test it out. Feedback from other Kalshi traders welcome: [https://pulsetrading.shop](https://pulsetrading.shop/)

Independent quant here (own capital, no firm backing). I'm researching short-horizon signals — 15-minute and 1-hour windows — on the major crypto assets, with the end goal of trading short-duration prediction-market contracts (Polymarket-style BTC/ETH Up/Down markets) if the research supports it. I'm at the data-collection stage and want to build a proper backtesting dataset before writing any execution code. **Ideally, this data needs to be as close to live and historical real-time as possible. I'm trying to get a deep analysis and accurate read between how long it takes individual exchanges and world-wide markets trading activity to affect to effect the prediction markets crypto contract valuations? Also, for the larger exchanges that have an international footprint, I would like to be able to see and test their trading activity in-between markets like Asia to North America. Or South America to Europe.** **What I need:** * Historical trade-level data (tick or aggTrades) with millisecond timestamps and maker/taker side * Ideally L2 order book snapshots or incremental updates on top of that * Bonus: liquidation and funding-rate history for perpetuals * Depth: 1–3 years if possible, but I'll take what I can get * Format doesn't matter much — zipped CSVs, Parquet, or API are all fine (my stack is Python + DuckDB) * Open to API sources too if there are some I should be aware of? **Exchanges and markets I'm targeting:** |Exchange|Markets wanted| |:-|:-| |Exchange|Markets wanted| |:-|:-| |Binance|Spot + USDT-margined perps| |OKX|Spot + USDT perps| |Bybit|Spot + USDT perps| |Coinbase|Spot (Advanced Trade / Exchange book)| |Kraken|Spot| |[Gate.io](http://Gate.io)|USDT perps| |Hyperliquid|Perps (and any other on-chain perp DEX with queryable history)| **Assets:** BTC, ETH, SOL, XRP (spot and perp pairs against USDT/USD). **What I already know about, so we don't go in circles:** * Binance Vision (data.binance.vision) — free daily/monthly aggTrades + trades + klines for spot and futures, no key needed. Already using this. Note the CC BY-NC-SA license on the flat files if anyone else is reading. * Bybit's public daily trade archive (gzipped CSVs) * [Tardis.dev](http://Tardis.dev) — tick-level L2/L3 across 50+ venues back to 2019, but $350/mo minimum for the academic tier * CoinAPI / CryptoTick — from \~$79/mo * Kaiko and similar institutional vendors — out of my budget range * For Polymarket itself: the official API only gives you the current book plus sampled price history; the free third-party tick datasets (Hugging Face BTC 5m order-book set, PolyOrderbooks 250ms archive, pmdata.dev) cover some of it **Questions for anyone who's done this:** 1. Are there other free or cheap historical trade/book data sources I'm missing — especially for OKX, Coinbase, Kraken, and Gate? 2. Has anyone captured their own historical L2 via WebSocket recording and regretted it (or loved it)? Trying to judge whether rolling my own recorder beats paying Tardis for book data. 3. If you've paid for any of the budget-tier vendors (Tardis academic, CoinAPI, CryptoTick), was the data quality worth it for serious backtesting? 4. For whale/on-chain flows: which services let you bulk-export historical labeled wallet flows without an enterprise contract? Looking at Arkham, Nansen, CryptoQuant, Glassnode, Dune — any of them viable for a solo operation? 5. Hyperliquid specifically — is the full historical trade/position data really as accessible via the public API as it looks, or are there gotchas (rate limits, gaps, archive depth)? Appreciate any pointers. Happy to share what I learn back in the thread once I've evaluated a few of these.

Who knows. I am really surprised it came back. I mined ZEC in 2018 alongside ETH for a month, and then switched to exclusive ETH mining because it was more profitable. I still have the ZEC, but sold 1 off earlier in the year before it even reached $1k. I will hold on to the remainder. I reckon ZEC is still very much undervalued relative to BTC when you compare the supply ratios. Yes, BTC commands a premium. But its premium over ZEC is more than 58x. Surely that could come down to maybe 10-20x?

ETH Daily - 6th November 2026 📰 \-Devcon 9 announced for Lisbon 2027. \-PSA: Check your contracts before Glamsterdam. \-Gnosis Pay discloses customer data leak. \-Aave acquires Avon protocol and team. \-Walletbeat is out of beta. \-Web3auth security issues. Read more: [https://ethdaily.io/ef-urges-contract-checks-before-glamsterdam](https://ethdaily.io/ef-urges-contract-checks-before-glamsterdam)

Nothing. I make 50$ per day when price is around 34 ETH for 1 BTC in the cbBTC/WETH pool in Pancakeswap.

What is all this talk about ETH becoming. Store of value? What did I miss. Can someone explain please.