BNBGBP
Binance Coin / Pound sterling
crypto

hello there guys morning from austria I’m just curious, how many of you did sell eth in the last days during the crash, and have you been planing to sell when it goes back to the same price all time high and then afterwards exchange it with a different coin such as BNB

🔻 Descending Triangle forming on BNB/USDT (1h)

BNB is really embracing AI

BNB Chain cooking with AI payments integration. Real utility incoming.

Can someone send me a tiny amount of BNB for gas fees on BSC?
Got USDT stuck and only need enough gas to transfer it.
\[0xD5F39d9E82151329CC49ADB61CA53870a30CadC0\]

That‘s the BNB coin?

BNB Chain integrates Bankr LLM Gateway for USDT payments on BSC

I believe crypto (that is BTC, ETH, BNB and little else) is in the beginning of a good upside move.
Everything aligns.
The long term charts, the growing adoption by traditional finance, the regulatory evolution, etc..
But I expect the price recovery to be slow at first (meaning, still quite slow during the next few months).

Answer is blocked the same as your comment:
1. There are five different configurations including bear and bull market presets with different ranges and wait times. I'm currently on the sideways setting. If sentiment shifts I can stop, withdraw and switch to a different preset.
2. + 3. I'm no expert on what regulation really means in crypto context — fair point. What I can verify: the smart contracts are audited by Cyfrin, and the platform has zero access to my capital. I execute everything through smart contract calls via a visual interface, but my assets stay in my own wallet. The company behind it is called 3Blocks. TVL is a tricky term here because the platform never holds assets — roughly seventy thousand USDT is currently deployed through these contracts across all users. Yes that's low, I know. The interface works seamlessly and the Cyfrin audit is why I have enough trust to run my own test.
4. I cross-checked the APR by simulating the same settings directly on the PancakeSwap pool and got nearly identical results — so the yield appears to be real and not inflated. The on-chain data from my post reflects the same numbers. Also these strategies are currently only run by bluechips like BTC BNB ETH and USDT

Robotics feels like the early semiconductor boom with massive potential in factories and medical bots, and I'm watching it closely while keeping my stock exposure light since picking exact winners is tough. Instead of chasing hype, I've stepped away from active trading to focus on passive income, keeping most of my Bitcoin in cold storage and allocating a small portion to CoinDepo for their relatively high fixed BTC yields compared to competitors. CoinDepo feels much easier for beginners like me, no complex wallets or smart contracts needed, since they generate sustainable yields through lending and structured strategies. Their native token has massive early-stage upside similar to BNB and NEXO, and with the project in active growth including crypto charity, it makes sense to join now before they gradually lower rates further.

I did micro investments in cripto and unlike other investments I was diamond hands there... Guess what happened? Only worked in BTC, ETH and BNB the rest is only pump and dump schemes.

Proof of concept / experiment: A GEM regression model but shorting biggest loosers instead of going long on winners. Tuned for bear markets.
**Experimental setup as below:**
* May 1 – Dec 31, 2022 data (BTC already down \~50% from ATH, Luna gone, 3AC gone, FTX about to be gone)
* 11 Binance USD-M perpetuals -- 4 extreme fallers (SOL, AVAX, ADA, DOT), 4 moderate (BTC, ETH, LINK, MATIC), 3 outperformers (BNB, TRX, XMR)
* $10k starting capital, flat 0.3% round-trip fees, real Binance funding rates applied at 8h cadence.
**The models**
GEM, sign-flipped for shorts:
* Fit either an exponential or linear regression to each token's recent closes
* Ranks them by the negative momentum, filters by R\*\*2 and a momentum floor
* Goes short on the top N most-negative tokens, weighted by their negative momentum magnitude (tokens ATR over total ATR sum)
* 10-day rebalance cooldown

**Results**
Best config: *lin-n1-w15* (linear, single token, 15-day window), +87.2% total return, -27.4% max drawdown, Calmar 5.64.
Long-only bear specialist from a [previous post](https://blog.nodrama.io/gem-bear-market-models/): Calmar 4.60.
But: baseline naive equal-weight short, never rebalanced: +57.7% return, -16.4% DD, Calmar 5.92
The -27% DD was one event: an ADA short squeeze, Oct 18 - 28 2022. The model entered at 100% weight on a clean 15-day downtrend, ADA bounced
**Findings**
The risk signals that would have flagged the squeeze, starting with funding-rate inversion, is obviously not in the OHLCV data, so the model cannot anticipate short squeezes.
Full write-up, charts, notebooks for repro:
[https://blog.nodrama.io/aggressive-bear-short-gem/](https://blog.nodrama.io/aggressive-bear-short-gem/)

Keep only 1 flexi cap, no point in having 2
Same with S&P 500 ETF
I’d remove BNB, but hey that’s my opinion since crypto is a gamble