Short Trade on GRASS 22 Jun 2025 at 02:21:06
Take profit at 1.1386 (0.97 %) and Stop Loss at 1.1573 (0.65 %)
Short Trade on GRASS 22 Jun 2025 at 02:21:06
Take profit at 1.1386 (0.97 %) and Stop Loss at 1.1573 (0.65 %)
Position size of 1234.6445 $
Take profit at 1.1386 (0.97 %) and Stop Loss at 1.1573 (0.65 %)
That's a 1.49 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.62 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.790629 |
Indicators:
102373
0.00465429
102850
0.790629
102782
0.000655212
102850
103862
-0.00974444
102850
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Jun 2025 02:21:06 |
22 Jun 2025 02:35:00 |
13 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.1498 | 1.1573 | 1.1386 | 1.49 | 0.2263 |
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 = 1.1573 - 1.1498 = 0.0075000000000001
Récompense (distance jusqu'au take profit):
E - TP = 1.1498 - 1.1386 = 0.0112
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0112 / 0.0075000000000001 = 1.4933
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1234.6445 | 100 | 1073.7906 | 12.35 |
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 / 0.0075000000000001 = 1066.67
Taille de position USD = 1066.67 x 1.1498 = 1226.46
Donc, tu peux acheter 1066.67 avec un stoploss a 1.1573
Avec un position size USD de 1226.46$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1066.67 x 0.0075000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1066.67 x 0.0112 = 11.95
Si Take Profit atteint, tu gagneras 11.95$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.97 % | 12.03 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.65 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -7.52 $ | -0.61 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7652 % | 125.71 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.139
[entry_price] => 1.15
[stop_loss] => 1.1577
[rr_ratio] => 1.43
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-22 02:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.139
[entry_price] => 1.15
[stop_loss] => 1.1584
[rr_ratio] => 1.31
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-22 02:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.139
[entry_price] => 1.15
[stop_loss] => 1.1591
[rr_ratio] => 1.21
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-22 04:05:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 1.139
[entry_price] => 1.15
[stop_loss] => 1.1605
[rr_ratio] => 1.05
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-22 04:05:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0154
[max_drawdown] => 0.0090000000000001
[rr_ratio] => 1.71
[high] => 1.15880000
[low] => 1.13440000
[mfe_pct] => 1.34
[mae_pct] => 0.78
[mfe_mae_ratio] => 1.71
[candles_analyzed] => 24
[start_at] => 2025-06-22T02:21:06-04:00
[end_at] => 2025-06-22T04:21:06-04:00
)
[long_term] => Array
(
[max_gain] => 0.03
[max_drawdown] => 0.0090000000000001
[rr_ratio] => 3.33
[high] => 1.15880000
[low] => 1.11980000
[mfe_pct] => 2.61
[mae_pct] => 0.78
[mfe_mae_ratio] => 3.33
[candles_analyzed] => 72
[start_at] => 2025-06-22T02:21:06-04:00
[end_at] => 2025-06-22T08:21:06-04:00
)
[breakout] => Array
(
[high_before] => 1.15120000
[high_after] => 1.15880000
[low_before] => 1.10410000
[low_after] => 1.11980000
[is_new_high] =>
[is_new_low] =>
)
)