Long Trade on 1000BONK 08 Jun 2025 at 19:12:12
Take profit at 0.01591 (0.82 %) and Stop Loss at 0.0157 (0.51 %)
Long Trade on 1000BONK 08 Jun 2025 at 19:12:12
Take profit at 0.01591 (0.82 %) and Stop Loss at 0.0157 (0.51 %)
Position size of 1464.8036 $
Take profit at 0.01591 (0.82 %) and Stop Loss at 0.0157 (0.51 %)
That's a 1.63 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.75 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.51 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.624604 |
Indicators:
106031
-0.00408071
105598
0.624604
105814
-0.00203834
105598
104958
0.00609776
105598
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 08 Jun 2025 19:12:12 |
08 Jun 2025 21:50:00 |
2 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.01578 | 0.0157 | 0.01591 | 1.63 | 0.005916 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.0157 - 0.01578 = -8.0E-5
Récompense (distance jusqu'au take profit):
E - TP = 0.01578 - 0.01591 = -0.00013
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00013 / -8.0E-5 = 1.625
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1464.8036 | 100 | 92808.9461 | 14.65 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / -8.0E-5 = -100000
Taille de position USD = -100000 x 0.01578 = -1578
Donc, tu peux acheter -100000 avec un stoploss a 0.0157
Avec un position size USD de -1578$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -100000 x -8.0E-5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -100000 x -0.00013 = 13
Si Take Profit atteint, tu gagneras 13$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.82 % | 12.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.51 % | 7.42 $ |
| PNL | PNL % |
|---|---|
| -7.43 $ | -0.51 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5577 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.01591
[entry_price] => 0.01578
[stop_loss] => 0.015692
[rr_ratio] => 1.48
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-08 21:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.01591
[entry_price] => 0.01578
[stop_loss] => 0.015684
[rr_ratio] => 1.35
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-08 21:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.01591
[entry_price] => 0.01578
[stop_loss] => 0.015676
[rr_ratio] => 1.25
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-08 21:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.01591
[entry_price] => 0.01578
[stop_loss] => 0.01566
[rr_ratio] => 1.08
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-08 22:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.000113
[max_drawdown] => 7.3E-5
[rr_ratio] => 1.55
[high] => 0.01589300
[low] => 0.01570700
[mfe_pct] => 0.72
[mae_pct] => 0.46
[mfe_mae_ratio] => 1.55
[candles_analyzed] => 24
[start_at] => 2025-06-08T19:12:12-04:00
[end_at] => 2025-06-08T21:12:12-04:00
)
[long_term] => Array
(
[max_gain] => 0.000113
[max_drawdown] => 0.000242
[rr_ratio] => 0.47
[high] => 0.01589300
[low] => 0.01553800
[mfe_pct] => 0.72
[mae_pct] => 1.53
[mfe_mae_ratio] => 0.47
[candles_analyzed] => 72
[start_at] => 2025-06-08T19:12:12-04:00
[end_at] => 2025-06-09T01:12:12-04:00
)
[breakout] => Array
(
[high_before] => 0.01630600
[high_after] => 0.01589300
[low_before] => 0.01577700
[low_after] => 0.01553800
[is_new_high] =>
[is_new_low] =>
)
)