Long Trade on AAVE 18 May 2025 at 14:43:34
Take profit at 234.9841 (1.55 %) and Stop Loss at 229.0106 (1.03 %)
Long Trade on AAVE 18 May 2025 at 14:43:34
Take profit at 234.9841 (1.55 %) and Stop Loss at 229.0106 (1.03 %)
Position size of 774.7488 $
Take profit at 234.9841 (1.55 %) and Stop Loss at 229.0106 (1.03 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.6 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.726064 |
Indicators:
104708
-0.00152549
104548
0.726064
104025
0.00502682
104548
103558
0.00955983
104548
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 May 2025 14:43:34 |
18 May 2025 15:30:00 |
46 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 231.4 | 229.0106 | 234.9841 | 1.5 | 114.48 |
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 = 229.0106 - 231.4 = -2.3894
Récompense (distance jusqu'au take profit):
E - TP = 231.4 - 234.9841 = -3.5841
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -3.5841 / -2.3894 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 774.7488 | 100 | 3.3481 | 7.75 |
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 / -2.3894 = -3.35
Taille de position USD = -3.35 x 231.4 = -775.19
Donc, tu peux acheter -3.35 avec un stoploss a 229.0106
Avec un position size USD de -775.19$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -3.35 x -2.3894 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -3.35 x -3.5841 = 12.01
Si Take Profit atteint, tu gagneras 12.01$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.55 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.03 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.04 $ | -1.04 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.5557476231634 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 235
[entry_price] => 231.4
[stop_loss] => 228.76
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-18 15:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 235
[entry_price] => 231.4
[stop_loss] => 228.52
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-18 15:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 235
[entry_price] => 231.4
[stop_loss] => 228.28
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-18 15:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 235
[entry_price] => 231.4
[stop_loss] => 227.8
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-18 15:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.91999999999999
[max_drawdown] => 13.08
[rr_ratio] => 0.07
[high] => 232.32000000
[low] => 218.32000000
[mfe_pct] => 0.4
[mae_pct] => 5.65
[mfe_mae_ratio] => 0.07
[candles_analyzed] => 24
[start_at] => 2025-05-18T14:43:34-04:00
[end_at] => 2025-05-18T16:43:34-04:00
)
[long_term] => Array
(
[max_gain] => 3.39
[max_drawdown] => 13.08
[rr_ratio] => 0.26
[high] => 234.79000000
[low] => 218.32000000
[mfe_pct] => 1.46
[mae_pct] => 5.65
[mfe_mae_ratio] => 0.26
[candles_analyzed] => 72
[start_at] => 2025-05-18T14:43:34-04:00
[end_at] => 2025-05-18T20:43:34-04:00
)
[breakout] => Array
(
[high_before] => 244.18000000
[high_after] => 234.79000000
[low_before] => 229.83000000
[low_after] => 218.32000000
[is_new_high] =>
[is_new_low] =>
)
)