Creating Automated Crypto Trading Bots and Sharing Real Metrics

Hey folks, I’m the guy behind AlgoVault Strategies and I wanted to take a moment to properly introduce our project, explain how it all works, and actually share real numbers instead of just vague promises. AlgoVault Strategies is about fully automated, rule-based trading systems for crypto. We’re not selling manual signals or doing any sort of discretionary trading. It’s all systematic and runs completely on its own once we set it up. We deliver our strategies as private scripts for TradingView. The logic runs right on TradingView charts and only generates signals after a candle closes. No repainting or changing signals after the fact, which is a huge plus. The automation happens through TradingView webhooks. When a valid signal pops up, TradingView sends a webhook to the exchange (think Bybit or Kraken), and the trade gets executed automatically using the user’s API keys. Once it’s live, there’s nothing you need to click or manage manually. Transparency is a big deal for us. All backtests include trading fees, and the results reflect fixed rules that don’t change with market conditions. Right now, we have two main strategies, each tailored for different risk levels. The first one is a conservative system aimed at long-term growth and survival in the market. In a backtest with a USDT pair, starting with 5,000 USDT, it grew to about 42,800 USDT, giving a total return of around +756%. The max drawdown in that backtest was about 20%, with a win rate near 59% from over a thousand trades. This system is built to withstand market ups and downs.

First of all, you should consider moving your thread to Service Announcements since you're here to advertise your service. I can see your service is based on paid subscription on monthly and yearly basis. So I ask how this is different from signal selling? I can agree it's different from TG trading bot thou. Although, I must confess that I like the presentation of your service in the sense that it's fully systematic and non custodial. At the same time, I have to be honest with you on your back test result. Over 700% returns is actually a mouth watering profit but it only looks great on paper. The context is what truly matters. So at what market regime this happen? And how much of the return came from high volatility period? As far as I know, back test doesn't capture everything.

I appreciate you sharing the full performance report; having access to concrete metrics definitely helps ground the discussion. Looking at the data, I think a bit more context would be necessary to properly evaluate the results: The report does not clearly state the backtest period or the exact asset traded. Given the reported ~300% CAGR and a Buy & Hold return of -83%, the performance appears to be highly regime- or asset-dependent. Clarifying the timeframe and market conditions would help interpret the results more accurately. There is a noticeable gap between the drawdown metrics: close-to-close max drawdown is shown at ~48%, while intrabar drawdown is ~20%. Since close-to-close drawdown often reflects the real capital and psychological risk for users, an explanation of how these figures should be interpreted would be useful. From the gross profit and gross loss figures, the implied profit factor is roughly 1.45. From a systematic trading standpoint, this usually indicates a relatively thin edge that can be sensitive to slippage, latency, and real execution costs. These points don’t invalidate the strategy, but without clearer information on regime breakdown, test duration, and robustness measures (such as out-of-sample or walk-forward testing), it’s difficult to assess how stable the reported performance would be under different market conditions. I’d be interested in your clarification on these aspects.

If you are offering this as a service, then move this post to the service board. But if this is just one of those regular posts, mostly from scammers, I think the admin will investigate and do the needful before people fall victims. I do not like anything that redirect people to another website that is why I'm skeptical about your proposal and anyone showing interest must be extremely care to avoid being exploited.

Thanks for the technical feedback, guys. Especially macrolens and knowngunman—this is the kind of drill-down I was looking for. Let’s get into the weeds with the actual data from the sheets. First, to address the "scam" or "signal group" doubt: this is 100% automated via webhooks. No Telegram, no manual execution. It’s non-custodial; you keep your funds, we just provide the logic. If you're skeptical, just ask for a trial period on the site and run it yourself. Now, let’s talk numbers and timeframes from the strategies (Algo Race and Algo Vault Rock): 1. The "Algo Race" Strategy (15m timeframe - 1.5 Years of Data): This is the aggressive one you saw in the sheets. Profit Factor: 13.28. Win Rate: 88.54% over 192 trades. Logic: It’s an advanced hybrid. While it has a grid-based core to compound fast, it integrates mean reversion logic. This is crucial because, unlike a standard grid bot that gets stuck or liquidated during a one-way trend, this system knows when to pivot or exit. It’s designed to avoid the typical "grid trap." 2. The "Algo Vault Rock" Strategy (1H timeframe - Nearly 2 Years of Data): This is the veteran system with almost two years of backtested history. Net Profit: +750% approx. Trade count: Over 1,100 trades. This isn't a "lucky streak"; it has survived almost two years of different market regimes (bull, bear, and sideways). Risk Management: It uses a hard 4% Stop Loss and 4% Take Profit. Regarding the 48% drawdown macrolens pointed out: that's the absolute peak-to-valley over a 24-month period. With a 58% win rate across 1.1k trades, the recovery factor is the real metric to look at. 3. Fees & Slippage (The 0.1% Rule): In all these tests, I manually set the commission to 0.1% per trade. Most traders on Bybit or Binance pay around 0.04% to 0.06%. I overcharged the fees on purpose. If the strategy stays this profitable with 0.1% fees over two years of data, it’s robust enough to handle real-world slippage. 4. Why Altcoins? We trade mid-to-high cap Alts because the volatility is where the edge is. I’m not disclosing the exact pairs publicly to prevent front-running that could mess with the liquidity for our users, but the sample size (1,100+ trades) proves it's not asset-dependent. 5. Transparency & Code: The code is closed source because it’s my intellectual property. However, seeing the skepticism here, I’m speeding up the release of a "Lite" version that will be open-source. You’ll be able to audit the logic for yourself. We aren't selling a "money printer." Trading carries risk, and a 48% drawdown is something you have to be prepared for. But the data—especially the 1.5 to 2-year history—shows the edge is consistent. I'm happy to dive into the raw TradingView reports with anyone who wants to talk tech. Cheers.