Short Trade on AAVE 30 May 2025 at 14:06:54
Take profit at 245.885 (1.13 %) and Stop Loss at 250.5767 (0.75 %)
Short Trade on AAVE 30 May 2025 at 14:06:54
Take profit at 245.885 (1.13 %) and Stop Loss at 250.5767 (0.75 %)
Position size of 1060.1821 $
Take profit at 245.885 (1.13 %) and Stop Loss at 250.5767 (0.75 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.63 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.754886 |
Indicators:
105030
-0.00640802
104357
0.754886
105555
-0.0113519
104357
107409
-0.0284186
104357
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 30 May 2025 14:06:54 |
30 May 2025 14:15:00 |
8 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 248.7 | 250.5767 | 245.885 | 1.5 | 112.47 |
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 = 250.5767 - 248.7 = 1.8767
Récompense (distance jusqu'au take profit):
E - TP = 248.7 - 245.885 = 2.815
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 2.815 / 1.8767 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1060.1821 | 100 | 4.2629 | 10.60 |
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 / 1.8767 = 4.26
Taille de position USD = 4.26 x 248.7 = 1059.46
Donc, tu peux acheter 4.26 avec un stoploss a 250.5767
Avec un position size USD de 1059.46$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 4.26 x 1.8767 = 7.99
Si Stop Loss atteint, tu perdras 7.99$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 4.26 x 2.815 = 11.99
Si Take Profit atteint, tu gagneras 11.99$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.13 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.75 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.1 $ | -0.76 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.76397265782067 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 245.9
[entry_price] => 248.7
[stop_loss] => 250.79
[rr_ratio] => 1.34
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-30 14:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 245.9
[entry_price] => 248.7
[stop_loss] => 250.98
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-30 14:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 245.9
[entry_price] => 248.7
[stop_loss] => 251.17
[rr_ratio] => 1.13
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-30 14:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 245.9
[entry_price] => 248.7
[stop_loss] => 251.55
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-30 14:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0099999999999909
[max_drawdown] => 6.59
[rr_ratio] => 0
[high] => 255.29000000
[low] => 248.69000000
[mfe_pct] => 0
[mae_pct] => 2.65
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-05-30T14:06:54-04:00
[end_at] => 2025-05-30T16:06:54-04:00
)
[long_term] => Array
(
[max_gain] => 0.0099999999999909
[max_drawdown] => 7.58
[rr_ratio] => 0
[high] => 256.28000000
[low] => 248.69000000
[mfe_pct] => 0
[mae_pct] => 3.05
[mfe_mae_ratio] => 0
[candles_analyzed] => 72
[start_at] => 2025-05-30T14:06:54-04:00
[end_at] => 2025-05-30T20:06:54-04:00
)
[breakout] => Array
(
[high_before] => 249.17000000
[high_after] => 256.28000000
[low_before] => 240.03000000
[low_after] => 248.69000000
[is_new_high] =>
[is_new_low] =>
)
)