A transparent look at the automated trading engine that scans, scores, gates and executes crypto trades on your own exchange account.
btccampus runs a disciplined pipeline every 5 minutes: scan the market, score candidates with rule-based technical analysis, pass them through strict risk gates and an AI review, then size and execute on your exchange with protective orders attached. Most candidates never survive the gates — by design.
Every 5 minutes, all USDT perpetuals on your exchange are pulled with fresh 1-hour candles, price and 24h volume. Coins under $10M daily volume or outside the 0.5%–12% move window are dropped immediately.
EMA 9/21/50 trend structure, RSI, MACD, Bollinger position and volume combine into a LONG / SHORT / NEUTRAL candidate with a 0–100 strength score.
Cooldowns, blacklists, over-extension vetoes, your daily limits and the news filter all get a veto. A market-wide AI layer can halve leverage or halt new entries entirely.
Leverage comes from your risk level scaled by signal strength; margin from your position-size setting. The order executes on your exchange with ATR-based take-profit and stop-loss attached.
Open positions are synced back from the exchange; PnL, close reasons, cooldowns and your daily limits update continuously.
Every number in the system comes from a real, named source — nothing is simulated. These are the feeds the engine and the dashboard actually use.
Live 1-hour OHLCV candles and tickers straight from your connected exchange — the same market your trades execute on
Liquidations, long/short ratio and funding rates from Coinglass
Crypto news reviewed by an AI layer for per-coin red flags, plus the Fear & Greed index
Large transfers from Whale Alert and BTC exchange-flow analytics from CryptoQuant
Total market cap, BTC dominance and coin metadata from CoinMarketCap
A Claude model reads the data above and produces the market bias and risk verdict
Market data refreshes every few minutes and is cached between runs. We show real numbers at honest intervals — never fabricated “real-time” noise.
Rather than relying on a single indicator, the engine combines four independent perspectives. Each one can veto or weaken a trade, and their agreement is what produces a high-strength candidate.
Deterministic math over 1-hour candles: EMA 9/21/50 alignment and slope for trend, MACD cross and histogram for momentum, RSI(14) for exhaustion, Bollinger position for volatility context, ATR(14) for exit distances.
Watches the conditions that wreck leveraged positions: liquidation cascades, extreme funding rates and volatility spikes. When the environment turns hostile it cuts leverage or stops new entries entirely.
An AI layer reads crypto headlines and flags coins with fresh red flags — hacks, delistings, regulatory hits — so the engine skips them. Whale transfers and BTC exchange flows add context on where big money is moving.
A Claude model reviews the combined picture — market bias, risk conditions, news — and issues a verdict the engine obeys: trade normally, halve the leverage, or stand down until conditions improve.
Indicator confluence produces a 0–100 strength score for every candidate, alongside a confidence value. Strength does not just rank trades — it directly scales how much leverage a trade is allowed to use.
Strength 80+ takes the full leverage of your risk level; 60–79 takes ×0.7; below 60 takes ×0.5. Confidence must be at least 50 or the trade is skipped. And counter-intuitively, a sky-high score is treated with suspicion — a coin already up more than 7% in 24h is vetoed for LONG entries, because chasing is how accounts die.
Markets behave differently under different conditions. Our system continuously classifies the current market regime and adapts its analysis accordingly. This regime-awareness helps prevent false signals that often occur when applying a one-size-fits-all approach.
Strong directional movement with momentum confirmation
Sustained bearish pressure with lower highs/lows
Consolidation between defined support and resistance
Elevated price swings with unpredictable direction
Compressed ranges often preceding major moves
Market shifting between regimes with mixed signals
Regime awareness feeds the engine in concrete ways: altcoin signals are checked against what Bitcoin is doing, ATR widens stop distances in volatile regimes, and the AI risk layer stands the whole system down when conditions turn hostile.
Not every high-scoring candidate becomes a trade. Before any order is placed, a candidate must clear every gate below — a single failure skips the trade and logs the reason, which you can inspect in AI Coin Analysis.
Active Risk Filters Include:
A trade that survives every gate is executed with a complete, protective structure — nothing is left open-ended, and everything is visible in your dashboard afterwards.
Recorded from the actual exchange fill, not the signal price
Placed on the exchange itself at entry — they survive outages
Derived from your settings, never improvised
Synced back from the exchange, reported honestly
Connect a trade-only API key and let a disciplined, transparent engine do the execution — under limits you control.