Long Trade on AAVE 16 May 2025 at 08:46:27
Take profit at 240.6723 (1.03 %) and Stop Loss at 236.5851 (0.69 %)
Long Trade on AAVE 16 May 2025 at 08:46:27
Take profit at 240.6723 (1.03 %) and Stop Loss at 236.5851 (0.69 %)
Position size of 1165.6739 $
Take profit at 240.6723 (1.03 %) and Stop Loss at 236.5851 (0.69 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.61 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.650405 |
Indicators:
103695
-0.000744278
103618
0.650405
103419
0.0019232
103618
103465
0.00148009
103618
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 May 2025 08:46:27 |
16 May 2025 10:00:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 238.22 | 236.5851 | 240.6723 | 1.5 | 105.94 |
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 = 236.5851 - 238.22 = -1.6349
Récompense (distance jusqu'au take profit):
E - TP = 238.22 - 240.6723 = -2.4523
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -2.4523 / -1.6349 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1165.6739 | 100 | 4.8933 | 11.66 |
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 / -1.6349 = -4.89
Taille de position USD = -4.89 x 238.22 = -1164.9
Donc, tu peux acheter -4.89 avec un stoploss a 236.5851
Avec un position size USD de -1164.9$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -4.89 x -1.6349 = 7.99
Si Stop Loss atteint, tu perdras 7.99$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -4.89 x -2.4523 = 11.99
Si Take Profit atteint, tu gagneras 11.99$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.03 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.69 % | 8 $ |
| PNL | PNL % |
|---|---|
| -7.83 $ | -0.67 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.68849706129303 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 240.7
[entry_price] => 238.2
[stop_loss] => 236.44
[rr_ratio] => 1.42
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-16 10:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 240.7
[entry_price] => 238.2
[stop_loss] => 236.28
[rr_ratio] => 1.3
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-16 10:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 240.7
[entry_price] => 238.2
[stop_loss] => 236.12
[rr_ratio] => 1.2
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-16 10:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 240.7
[entry_price] => 238.2
[stop_loss] => 235.8
[rr_ratio] => 1.04
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-16 10:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 2.13
[max_drawdown] => 4.44
[rr_ratio] => 0.48
[high] => 240.35000000
[low] => 233.78000000
[mfe_pct] => 0.89
[mae_pct] => 1.86
[mfe_mae_ratio] => 0.48
[candles_analyzed] => 24
[start_at] => 2025-05-16T08:46:27-04:00
[end_at] => 2025-05-16T10:46:27-04:00
)
[long_term] => Array
(
[max_gain] => 2.13
[max_drawdown] => 6.59
[rr_ratio] => 0.32
[high] => 240.35000000
[low] => 231.63000000
[mfe_pct] => 0.89
[mae_pct] => 2.77
[mfe_mae_ratio] => 0.32
[candles_analyzed] => 72
[start_at] => 2025-05-16T08:46:27-04:00
[end_at] => 2025-05-16T14:46:27-04:00
)
[breakout] => Array
(
[high_before] => 245.08000000
[high_after] => 240.35000000
[low_before] => 236.03000000
[low_after] => 231.63000000
[is_new_high] =>
[is_new_low] =>
)
)