Decision parameters
- Entry
- 0.698528
- Take profit 1
- 0.710909
- Stop loss
- 0.690789
- Risk / reward
- 1 : 1.60
- Confidence
- 58
- Net score
- 53.8889
Loss · SL hitLONG
FRAXUSDT#3d6e337ae8de
This is a verifiable signal receipt. Every field below was recorded at signal-generation time. The SHA-256 hash fingerprints the canonical input. Anyone can recompute it and verify this signal existed exactly as shown, before the market moved.
Outcome
- Outcome
- Loss · SL hit
- Net (after costs)
- -130 bps
- Gross
- -111 bps
- Fees
- 4 bps
- Slippage model
- 15 bps
- Funding PnL
- 0 bps
- Entry exec
- 0.698528
- Exit exec
- 0.690789
Cryptographic proof
- SHA-256
- 3d6e337ae8ded8b9b9aba4418f0ef72a91bc1a07e7cf167a509b94ec9234f856
- Short code
- 3d6e337ae8de
- Algo version
- native_scanner_v1_sim
- Eval version
- sim_walk_forward_v1
- Policy hash
- (none)
- Code git sha
- (none)
- Calibrator
- (none)
Show canonical input (for recomputation)
FRAXUSDT LONG 1771723799999 0.69852758 0.71090930 0.69078901 native_scanner_v1_sim sim_walk_forward_v1
sha256(canonical_input) === the hash above. Any recipient can verify with python -c "import hashlib; print(hashlib.sha256(open('/tmp/c').read().encode()).hexdigest())"after saving this block (without trailing newline) to /tmp/c.
Verify this receipt yourself
JSON receipt · Verify a hash · Methodology · Symbol history
Ask any signal seller to show you this. If they can't produce an immutable, pre-trade fingerprint for every past call, their "track record" is retrofitted.