Known basis = coins acquired inside CoinJar Exchange and provable from current account settlements.
Transfers from regular CoinJar are shown separately because their original purchase cost is not available to the Exchange API.
Asset
Balance
Available
Held
Price AUD
Known avg entry
Basis coverage
Transferred
Value AUD
Known P&L
Allocation
Enter the admin token below to load private balances.
Controls
Token stays in this browser tab only.
Private CoinJar data is cached for 2 minutes to avoid API rate-limit bursts.
Read-only API check
Paper trading engine
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Paper equity
-
Cash
-
Total P&L
-
Paper positions
-
Scan
-
Return
-
Closed trades
0
Win rate
-
Avg win / loss
-
Expectancy / trade
-
Exit reason stats
closed paper trades grouped by exit rule
Exit reason
Trades
Wins
Win rate
Total P&L
Avg P&L
No closed paper trades yet.
Changing paper capital adds or removes simulated cash only. Existing positions, trades, P&L history and stored snapshots are preserved.
Signals use the bot's own stored snapshots. Markets are ranked by momentum, trend consistency,
spread quality and recent volatility. A high score alone is not enough: entries also require positive
5m or 15m momentum, mature history and an acceptable spread.
Backtest / replay
replays the current strategy over stored snapshots; live paper account is untouched
Ready
Coverage
-
Snapshots
-
Markets
-
Closed trades
-
Replay P&L
-
Return
-
Win rate
-
Avg win / loss
-
Expectancy / trade
-
Open positions
-
Replay exit reason
Trades
Wins
Win rate
Total P&L
Avg P&L
Run a replay to see results.
Replay uses only prices already stored in this bot's SQLite database. It does not invent future data, place orders, or change the live paper run.
Strategy comparison lab
runs multiple rule variants over the exact same stored history; live paper rules stay unchanged
Ready
Variant
P&L
Return
Closed
Win rate
Avg win / loss
Profit factor
Expectancy
Open
What changed
Run the comparison to test candidate rules.
Control is always the current paper strategy. Variants are exploratory only and do not change the bot.
Dip strategy optimizer
tests per-market dip thresholds against fixed holding periods over the same stored history; live paper account is untouched
Ready
Market
Best dip
Best hold
Signals
Avg return
Positive
Top 3 combinations
Run the optimizer to see results.
Signal outcome analysis
measures what price did after qualifying entry signals; live paper account is untouched
Ready
Signals
-
Avg +15m
-
Avg +30m
-
Avg +60m
-
Avg MFE / MAE 60m
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By score band
average forward return after each qualifying signal
Score
Signals
+5m
+15m
+30m
+60m
30m positive
MFE / MAE 60m
Run signal analysis to see results.
By momentum strength
uses the stronger of the 5m and 15m momentum readings
Momentum
Signals
+5m
+15m
+30m
+60m
30m positive
MFE / MAE 60m
Run signal analysis to see results.
By market
sorted by average +30m outcome
Market
Signals
+5m
+15m
+30m
+60m
30m positive
MFE / MAE 60m
Run signal analysis to see results.
Uses stored snapshots only and de-duplicates persistent signals using the current re-entry cooldown.
Momentum vs mean reversion
compares buying strength with buying short-term dips over the same stored history
Ready
Signal type
Signals
+5m
+15m
+30m
+60m
30m positive
MFE / MAE 60m
Rule
Run the comparison to test dip behaviour.
Medium dip by market
5m <= -0.20% or 15m <= -0.40%, sorted by average +30m outcome
Market
Signals
+5m
+15m
+30m
+60m
30m positive
MFE / MAE 60m
Run the comparison to see market results.
Forward-outcome analysis only. It does not place trades or alter the live paper strategy.