Short Trade on MOCA 30 Jun 2025 at 15:38:23
Take profit at 0.07044 (0.56 %) and Stop Loss at 0.0711 (0.37 %)
Short Trade on MOCA 30 Jun 2025 at 15:38:23
Take profit at 0.07044 (0.56 %) and Stop Loss at 0.0711 (0.37 %)
Position size of 2144.4691 $
Take profit at 0.07044 (0.56 %) and Stop Loss at 0.0711 (0.37 %)
That's a 1.54 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.46 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.591144 |
Indicators:
107462
0.000353842
107500
0.591144
107629
-0.00136929
107481
107453
0.000438619
107500
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 30 Jun 2025 15:38:23 |
30 Jun 2025 15:55:00 |
16 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.07084 | 0.0711 | 0.07044 | 1.54 | 0.01667 |
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 = 0.0711 - 0.07084 = 0.00026
Récompense (distance jusqu'au take profit):
E - TP = 0.07084 - 0.07044 = 0.0004
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0004 / 0.00026 = 1.5385
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2144.4691 | 100 | 30272.0086 | 21.44 |
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 / 0.00026 = 30769.23
Taille de position USD = 30769.23 x 0.07084 = 2179.69
Donc, tu peux acheter 30769.23 avec un stoploss a 0.0711
Avec un position size USD de 2179.69$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 30769.23 x 0.00026 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 30769.23 x 0.0004 = 12.31
Si Take Profit atteint, tu gagneras 12.31$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.56 % | 12.11 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.37 % | 7.87 $ |
| PNL | PNL % |
|---|---|
| -7.87 $ | -0.37 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4376 % | 119.24 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.07044
[entry_price] => 0.07084
[stop_loss] => 0.071126
[rr_ratio] => 1.4
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-30 15:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.07044
[entry_price] => 0.07084
[stop_loss] => 0.071152
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-30 16:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.07044
[entry_price] => 0.07084
[stop_loss] => 0.071178
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-30 16:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.07044
[entry_price] => 0.07084
[stop_loss] => 0.07123
[rr_ratio] => 1.03
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-30 17:05:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00042
[max_drawdown] => 0.00033999999999999
[rr_ratio] => 1.24
[high] => 0.07118000
[low] => 0.07042000
[mfe_pct] => 0.59
[mae_pct] => 0.48
[mfe_mae_ratio] => 1.24
[candles_analyzed] => 24
[start_at] => 2025-06-30T15:38:23-04:00
[end_at] => 2025-06-30T17:38:23-04:00
)
[long_term] => Array
(
[max_gain] => 0.00072
[max_drawdown] => 0.00038000000000001
[rr_ratio] => 1.89
[high] => 0.07122000
[low] => 0.07012000
[mfe_pct] => 1.02
[mae_pct] => 0.54
[mfe_mae_ratio] => 1.89
[candles_analyzed] => 72
[start_at] => 2025-06-30T15:38:23-04:00
[end_at] => 2025-06-30T21:38:23-04:00
)
[breakout] => Array
(
[high_before] => 0.07088000
[high_after] => 0.07122000
[low_before] => 0.06947000
[low_after] => 0.07012000
[is_new_high] =>
[is_new_low] =>
)
)