Follow one long-only machine-learning strategy across six cryptocurrencies.
See its simulated account, open positions and risk limits before drawing conclusions.
This is an ongoing paper test — not a verified real-money track record.
We focus on one systematic, long-only strategy, currently running in paper mode.
A RandomForest model scores potential entries. Positions are reviewed hourly and closed
when the score drops below the exit threshold or the maximum holding period is reached.
Position limits and reduced sizing in bear markets constrain exposure, but do not prevent losses.
The current public feed is an account snapshot, not a complete trade-history audit.
Rule-basedModel thresholds and a maximum holding period guide entries and exits.
Risk-managed2× configured leverage and capped positions. No fixed protective stop in the current deployed version.
TransparentRead the current snapshot alongside its timestamp and simulation limitations.
The technology
Powered by machine learning, built for systematic trading
Our strategy does not rely on fixed indicator rules or manual chart-reading. Instead, a machine-learning signal engine evaluates multiple market features at once - momentum, volatility and trend strength - to score potential long-only trading setups. The goal is not to predict the future with certainty, but to evaluate market conditions consistently and make every signal systematic, data-driven and measurable.
Built by a small technical team
KryptoEkspert is built by a small technical team focused on data-driven crypto trading. This is not a copied signal group or a manual trading channel. Our strategy combines machine learning, market data, systematic rules and walk-forward research. The goal is simple: make crypto trading signals more structured, measurable and transparent - so members can follow the strategy over time, including both winning and losing trades.
No classic indicator rules ("buy when an indicator flips")
No manual chart-reading or trend-line drawing
No copy-pasted price-action setups
No gut feeling or guesswork
What the strategy uses
A RandomForest model as the strategy's signal engine
Multiple market features evaluated together (momentum, volatility and trend strength)
A model score on every signal — not a calibrated probability of profit
Risk rules on top of ML: position sizing, exposure limits and model-based exits
01
Historical market data
The live training configuration requests up to five years of history across BTC, ETH, SOL, BNB, XRP and DOGE. Available history and row limits affect the actual training window. Features describe price, momentum, volatility and trends.
02
ML signal generation
The model scores market conditions against its training labels. An entry threshold is a rule for taking risk, not evidence that a trade will be profitable.
03
Model validation
Our research uses time-ordered testing. An audit identified label leakage and optimistic execution assumptions in earlier backtests; those results need revalidation before supporting performance claims.
04
Regular retraining
The model is updated on recent market data, so the strategy can adapt to changing market behaviour without relying on static rules.
Proprietary & confidential
The software, content, documentation and proprietary implementation are protected by applicable intellectual-property laws. The model itself is never shared - you get access to the results and the live trades, not the underlying algorithm.
Short entries are disabled in the current paper configuration. That is a design choice for this test, not proof that long-only is the most profitable strategy.
The model is long-biased by design
The running configuration permits long entries only. It can lose money when prices fall, and correlated crypto positions can decline together.
Short-side research is unfinished
Earlier comparisons are being reviewed for data leakage, costs and execution assumptions. A short-side variant needs separate out-of-sample evidence before it can be compared fairly.
What this means in practice
Rising / choppy markets
It opens simulated long positions when the model score passes the entry threshold. A qualifying signal can still lose.
Falling markets
Below the BTC 200-day moving average, the configured risk-off rule halves new-position sizing. New longs are still allowed. It does not short the market.
Smaller positions reduce exposure, not market risk itself. The deployed model has no fixed stop-loss and checks exits hourly; training or outages can delay checks.
Trading pairs
The public paper bot reads Binance USDT market prices. USDC is the
account display label, not evidence of USDC settlement or currency conversion.
Exchange products and eligibility depend on your jurisdiction.
USDT market dataUSDC display label
Paper results
The account, with the context.
Equity includes open-position gains and losses, measured against the starting paper balance below. These are simulated results, not exchange-verified returns or a prediction of future performance.
PAPER / DRY RUNChecking feedas of -
Waiting for a verified paper-account snapshot. Figures are unavailable until it loads.
ExecutionSimulated only
Update cadenceTypically hourly
Starting paper balance10,000 USDC
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Total P&L
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Total paper P&L
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Open positions
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Equity
Settled paper P&L —Open-position P&L —
Position data is unavailable until the feed loads.
What the figures include: simulated trading fees and marked open positions.
What they omit: funding, slippage, market impact and currency conversion.
Settled P&L includes fees already paid, including entry fees on open positions.
Position percentages show price moves, not leveraged account returns. The snapshot is not
a complete transaction history; no audited win rate or drawdown is claimed.
The site checks the feed every 10 minutes; the bot normally updates hourly. Delays over two hours are flagged. Simulated gains are not real-money returns. Read the risk disclosure.
How it works
Choose how you want to use the strategy
Two ways to get started - you decide the level.
Option 1
Follow along - watch trades live
Get access to the private Telegram channel for paper-trade entries, exits and portfolio updates. This is research to follow, not an instruction to copy trades with real money.
1 Pay €19/mo by card
2 Request to join the private channel - approved shortly after payment
3 Follow the paper test and its updates
Option 2
Auto-trade on your own Binance Invite only
Auto-trading is a separate private-pilot enquiry, not part of the public paper account. Contact us to confirm availability, eligibility, safeguards and fees before connecting any account. Paper results do not validate real-money execution.
1 Start with a Live Signals membership
2 Ask about eligibility, technical readiness and the additional setup fee
3 Any live setup requires separate approval and safety checks
⚠ Auto-trading suits only users who understand crypto trading risk. You stay fully responsible for your account.
Never send API keys in the contact form. Trade permissions still carry financial risk.
Pricing
Simple pricing. No commitment.
Follow the paper research on Telegram. Ask separately about the private auto-trading pilot.
Paper research
Live Signals
€19/mo
Follow paper-trade entries, exits and account updates on Telegram.
No. The public account runs in DRY_RUN paper mode. It uses real market data but simulated money and places no exchange orders.
What do I get for €19 a month?
You get access to our private Telegram channel for paper-trade entries, exits and portfolio updates. The public account is simulated, not real money. Exits use model thresholds and a maximum holding period; there is no fixed protective stop in the deployed paper version.
What does "auto-trading on Binance" mean?
It means software placing exchange orders on an account you own. The public bot shown here does not do this: it is in paper mode. Ask us about private-pilot availability, safeguards and the additional fee before connecting an account.
Do you use USDC or USDT?
The public paper bot reads USDT market prices. USDC is its account display label, not evidence of USDC settlement or currency conversion. Product availability and eligibility vary by jurisdiction.
Is it safe to give you an API key?
No API access is risk-free. Even a trade-only key can open loss-making positions. Do not share secrets by email or this form. Revoking a key stops future access but does not automatically close existing positions.
How often are the trades updated?
The bot normally evaluates the strategy hourly. Training, connectivity or exchange issues can delay updates. This site polls every 10 minutes, shows the snapshot timestamp and flags data older than two hours.
Can I pay with crypto instead of a card?
Yes. We accept USDT and USDC. Choose "Pay with crypto" in the contact form or email info@kryptoekspert.com, and we'll send you the wallet address.
How do I cancel? Is there any commitment?
No commitment - the membership is month-to-month and you can cancel anytime in a few clicks. Open the
subscription portal (or use the link in any Stripe receipt email),
sign in with your email, and click Cancel. You keep access until the end of the period you've already paid for -
no further charges. Paid with crypto? Just email info@kryptoekspert.com to stop renewals.
Is this financial advice?
No. The strategy and content are information and education - not personal financial advice. Never trade for more than you can afford to lose.