XRPUSDT
XRP / Tether USD
cryptoComposite

Lol I got the notification on the dip and loaded up on XRP and BTC

Compra XRP amigo y no hagas caso de lo que digan los demás acerca de tu inversión, investigar e invertir por cuenta propia es lo más inteligente, y por muy bueno que sea algún proyecto lo importante es invertir dinero que uno esté dispuesto a perder

Well they used to sell those in Toys R us. The lambos that XRP investors can afford that is lol.

QUAI I find interesting, XRP, Midnight, Monero, Kaspa.

Hi r/Daytrading. For Software Sunday I’m sharing what I’ve been building: r/Trading_simulator, a paper trading community where the simulator runs inside the Reddit post itself. The video shows the app first, then a strategy you can practice in it. Here’s the background the video doesn’t cover. **Why build it inside Reddit** Practicing alone on a demo account never taught me much. I’d take a trade, lose, and never know if anyone else saw the same setup. On Reddit, everyone who trades in the post leaves their entries and exits on the same chart. You can scroll back to a candle and see who bought the dip, who shorted the top, and where the stops got hit. Paper trading becomes something you can discuss, not just a private score. **Why the strategy is built in** Most beginners draw support and resistance by hand and redraw them after the fact. The EMA + Lookback indicator takes the guessing out: it plots the levels from rules, so everyone in the community looks at the same levels and can argue about the same trade. It’s one toggle in the indicator menu, and you can change the EMA and lookback values. I've been using this way of reading levels in my own trading for years. Honestly, not as methodically as I should. It has given me good results, but I know I don't get the most out of it, because I'm not disciplined or focused enough to follow it the same way every time. That's part of why I built it into the app, and why I wanted to see what happens when you take my judgment (and my lack of discipline) out and run it as pure rules. **Details** * Free, virtual money only, no sign-up beyond your Reddit account * Live crypto prices (BTC, ETH, SOL, XRP, DOGE, LINK), 1m to 1W * Built with Reddit’s developer platform (Devvit); I’m a solo developer **What I’d like from you** * What would make a simulator actually useful for your practice? * Should I add stocks? * Would you join weekly competitions? * If you trade levels like these on lower timeframes, how do you filter fake breakouts? I’ll be in the comments answering everything. Not financial advice.

XRP is currently at $1.16. Where’s all the “LAMBO” and “TO THE MOON” people???? 😁😄😀😃😀😃😄

Hello everyone i wanted to make a little update post regarding my last post and my losses here is the [original post](https://www.reddit.com/r/WallStreetBetsCrypto/s/uAXFHzJbew) so you can check it for context First of all thanks again for everyone who cared enough to leave a comment or read through my post I wanted to clarify some points because i think i didn't explain myself enough in the original post The total amount i actually deposited was around 5k usd that was around the end of 2024 and the start of 2025 and was distributed as an investment between safe assists most of it in SOL around 30 SOL and ETH around 0.5 ETH i don't remember the exact numbers now and some other small projects like ARB,XRP,ADA just small amounts just in case something go to the moon. Everything was going great till the October last year crash at that point the portfolio was around 10000$ usd or so and then it kept bleeding but i kept holding and holding and the recovery never arrived at least not to even the amount i initially originally added, i know crypto is risky and loss to be expected however i felt uneasy to loss that much but i tried to convince myself everything will be okay Then the building that my appointment is in the one i am going to marry in after 6\~7 months was found by the state as unsafe and I can't move to it and that's what broke me and i couldn't take it anymore, i looked at my balance on binance and i saw that all what i had was like 4k + 2k that i have in my bank because i kept saving in my bank after the crash and didn't want to deposit anything else to binance From here i thought maybe if i do some trades with leverage i can recover and have enough money to get a small apartment and everything will be okay all i need is like 2k more usd and i got small wins then lose after lose after lose it kept bleeding till i got liquidated at the end I want to mention that i never touched futures before, i have no history with gambling but i saw no other option there was basically nothing else to do (at least this is what i thought at that time) and here i am lost all the money on binance, i have 2k left in my bank which puts me in a worst situation because now even if the apartment issue was fixed by somehow I don't have enough money for basic renovations but it's all my fault no one else's and i understand my mistake now And that's the whole story thanks for reading and if someone would like to help with anything here is my binance id : 546079188 even a dollar or two will help but it's okay if you don't want to you are not required to send anything it's my mistake and it's up to me to figure out how to resolve it Thanks again for reading and have a wonderful day

XRP

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.

It’s 1% now but still they’re pushing RLUSD and XRP has no incentive to hold it will be bought and sold as quick as the transaction

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

>I know NOTHING about crypto Don't worry, that's actually a prerequisite to buy XRP!

Most coins went into bear market since the January 2025 tarrifs . Only Zcash , Monero, hype and TRX did well since then for both 2025 and 2026. BTC , BNB and XRP were strong in 2025 but then they also tanked

This is exactly how the game works. Torture retail enough to where they give up and sell. imagine selling looking up at XLM prospering. Ive been through the highs and lows on this project a few years before you. I’m thrilled every time the price goes down because of the sale opportunity to buy more. Nothing but positive news for XLM. So why doesn’t the price go up? Because it hasn’t been used anywhere near its potential in the way it was designed to be used. That times‘s coming. When clarity finally happens the top 2 coins to bank from that are XRP and XLM imo. Might be months, might be a couple more years. They can’t keep pushing it down much longer. The world is innovating in a way for XLM to scale to the masses and prosper, and a lot of changes have already been implemented. Fear from some price turmoil shouldn’t get us to sell one of the greatest investment opportunities out there. Hang in there, or don’t. But I’m sure you’ve done your research and know what you hold. These low prices should excite the Gen pop, not deter them. There’s no announcements like the Stellar Development Foundation is giving up, is illegal, or shutting down. In fact it’s actually growing mightily. The price is much more likely to reflect this growth, development, potential in the future rather than fizzle out to nothing. The SDF and XLM are really just getting warmed up. Enjoy it and take advantage of adding to your bag at great buying times like these. I don’t feel bad for XLM holders one bit. I feel bad for the ones who don’t know about it or don’t believe/see what’s coming.

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.