Verified · 24-hour delayed
21 markets scanned
4,432 signals analyzed
100% uptime
last scan 1 day ago
Verified Live Performance
Every closed signal, scored honestly. Updated hourly with a 24-hour delay so subscribers retain exclusive access to fresh signals.
Total R Captured
+248.2R
2,001 closed signals
Win Rate
60.9%
972W · 702L · 122BE
Cumulative R
21 trading daysPer-Grade Breakdown
| Grade | Trades | Win Rate | Total R |
|---|---|---|---|
| A+ | 132 | 62.1% | +11.9R |
| A | 930 | 60.4% | +150.0R |
| B+ | 613 | 62.2% | +79.3R |
| B | 121 | 57% | +7.0R |
By Engine
scalp
1,226 · 63.5% WR
+112.9R
swing
441 · 58.3% WR
+84.5R
position
129 · 45% WR
+50.9R
Best-Performing Assets
| # | Asset | Trades | Win Rate | Total R |
|---|---|---|---|---|
| 1 | AVAX/USDT | 113 | 75.2% | +51.2R |
| 2 | UNI/USDT | 98 | 70.4% | +33.6R |
| 3 | ARB/USDT | 129 | 69.8% | +45.5R |
| 4 | PAXG/USDT | 56 | 69.6% | +27.4R |
| 5 | LINK/USDT | 75 | 69.3% | +29.3R |
Systematic vs manual trading
| Manual trading | Systematic signals | |
|---|---|---|
| Hours per day required | 4-8 hrs screen time | 10 min review |
| Markets monitored | 2-3 max | 21 simultaneously |
| Entry discipline | Emotion + fatigue | Rules-based |
| Stop-loss placement | Often skipped | Always defined |
| Position management | Manual, easy to miss | Auto-tracked |
| Performance tracking | Spreadsheet, optional | Built-in, public |
Frequently asked
A 90% win rate sounds great until your average loss is bigger than your average win — you can win 9 out of 10 trades and still lose money. What matters is expectancy: average winner times win rate, minus average loser times loss rate. A 50% win rate with winners that are twice the size of losers is more profitable than a 70% win rate where wins barely cover losses. Always look at win rate AND the average R-multiple together.
Every signal shown on /performance was closed at least 24 hours ago. This protects active subscribers — fresh signals stay exclusive to paying customers, and only outcomes that have fully settled appear publicly. The delay also prevents anyone from front-running your edge by scraping the public page.
Once a trade hits TP1, the engine moves the stop-loss above your entry (a small positive offset). If the trade then reverses and stops out, it closes at a small profit — not a true breakeven. Calling these "wins" is the honest accounting because you walked away with money, not because we are inflating the win rate. Pure scratches (entry filled then stopped at exact entry) almost never happen with this setup.
There is no honest single number. Returns depend on your starting capital, the percentage you risk per trade, how many signals you actually take, and market conditions during that month. The /performance page shows real outcomes per trade — multiply average R per trade by the number of signals you take, then by your risk percentage. If average R is +0.27R and you take 30 signals risking 1%, that is roughly +8% in the month if conditions hold. Past months will not perfectly predict future months.
Wins plus breakevens, divided by wins plus losses plus breakevens. The denominator excludes signals that expired or were time-stopped without a clear win or loss. The page footer shows the raw win/loss/BE counts so you can verify the math yourself. We use the same formula across the user dashboard, the admin engine health card, and the public page — no different numbers in different places.
Performance varies week to week. The cumulative R chart on the /performance page shows every drawdown — there is no filtering of bad periods. If you want to see worst-case behaviour, scroll the curve looking for the steepest dips. We do not hide losing weeks.
Free Telegram groups usually push signals from a single trader's gut feeling, with no public track record, no stop-loss, no defined targets, and no transparent close-out. We publish a verified delayed performance page, every signal includes an entry zone, one stop-loss, three take-profit levels, and the engine actively manages the trade after entry. Most free groups also monetize via referral kickbacks from exchanges, which means they are incentivized to push you toward high-fee trades — we are not.
Different strengths. A human analyst can read news, understand narrative, and adapt to one-off events. A systematic engine never gets tired, never panics, never falls in love with a position, and can scan dozens of markets every minute. The ideal is to combine both — use systematic signals as the baseline, and your judgment to size up or pass on individual trades when context warrants it.
Each signal has six parts. Direction (LONG or SHORT), entry zone (a price range — wait for price to enter it before opening a position), stop-loss (close the trade if price hits this), and three take-profit targets (TP1, TP2, TP3). The general flow: open a position when price enters the entry zone, put your stop-loss at the level shown, and split your exit across the three targets (e.g., 50% out at TP1, 30% at TP2, 20% at TP3). The engine will notify you when targets are hit and adjust the stop-loss as the trade progresses.
1R is the amount you risk on a single trade — the distance from your entry to your stop-loss, expressed in dollars. If your stop-loss is $100 below entry, then 1R = $100. A 2R win means the trade made $200, a 0.5R loss means it lost $50. Talking about R instead of dollars makes performance comparable across trades of different sizes — it normalises everything to your own risk tolerance.
There is no minimum on our side, but a practical floor is around $500 for crypto trading. Below that, exchange minimum order sizes and percentage trading fees eat into small position sizes too aggressively to make 1% risk-per-trade math work cleanly. Above $500 the math is comfortable; above $5,000 it becomes very flexible.
No. The engine does the analysis — your job is execution: enter when the entry zone is reached, set the stop-loss and take-profits as shown, and follow the engine's notifications. That said, understanding why the engine is taking a trade (broad-strokes: trend direction, volatility regime) helps you size up or pass on signals when something feels off in the broader market.
It happens. No system wins every week — markets move through phases the engine handles well and phases where the edge thins. The honest expectation is that drawdowns occur, often 4-8% of starting capital in a bad stretch. If you size positions conservatively (1-2% risk per trade), even a poor week is recoverable. Watch the rolling cumulative R, not single weeks — that is where the edge actually shows up.
Gambling is taking trades with no defined risk, no exit plan, and no measurable edge. Following signals is the opposite: every trade has a pre-defined stop-loss, three take-profit levels, and a verifiable historical edge across hundreds of past trades. You can have a losing trade or a losing week and the system is still working as intended — the edge plays out across many trades, not single ones.
Yes — by design. No real trading system wins more than ~70% of the time over the long run, and ours does not aim to. The engine's edge comes from being honest about the wins it gets versus the size of its losses, not from being right every time. Check the live performance page for the current win rate over your chosen window.
Because no model is ever truly 100% sure, and any system claiming "99% confident" is misleading you. Capping at 90% is an honesty signal: even the highest-grade signals can fail. If a trade with a 90% confidence score loses, it is not a bug — it is the 1-in-10 outcome that we explicitly told you about.
A common approach is to scale out: close 50% of the position at TP1, 30% at TP2, 20% at TP3. This locks in profit early while letting some of the position run if the trade keeps going. If you only have funds for a single exit, taking the full position out at TP1 is the safest — you bank the win and avoid any risk of the trade reversing before TP2 or TP3.
Decide what percentage of your account you are willing to lose if the trade hits stop-loss (1-2% is conservative, 3-5% is aggressive). Then: position size in dollars = (account balance × risk percentage) ÷ (distance from entry to stop-loss as a percentage of entry price). The TradeVelocity dashboard does this math for you when you enter your account size in Settings.
Both work for LONG signals. Spot is simpler (you actually buy the asset) and has no liquidation risk, but you cannot SHORT on spot. Futures lets you take both LONG and SHORT signals and use leverage, but adds liquidation risk if you over-size. Beginners should start on spot with LONG-only signals; experienced traders can use futures for the full LONG/SHORT range.
Start tracking these signals
Important: Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk and can result in loss of capital. The metrics shown above reflect closed signal outcomes — actual results vary depending on execution, slippage, fees, and individual position sizing.
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Snapshot generated: Jun 22, 2026 · 18:10 UTC · Window: Jun 1, 2026 – Jun 21, 2026