Short Trade on ETH 24 Jul 2025 at 04:09:58
Take profit at 3574.4998 (1.03 %) and Stop Loss at 3636.3668 (0.69 %)
Short Trade on ETH 24 Jul 2025 at 04:09:58
Take profit at 3574.4998 (1.03 %) and Stop Loss at 3636.3668 (0.69 %)
Position size of 1167.5447 $
Take profit at 3574.4998 (1.03 %) and Stop Loss at 3636.3668 (0.69 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.57 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.812523 |
Indicators:
118190
0.00262052
118499
0.812523
118284
0.00182339
118499
118279
0.00186244
118499
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 24 Jul 2025 04:09:58 |
24 Jul 2025 04:10:00 |
2 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 3611.62 | 3636.3668 | 3574.4998 | 1.5 | 1853.37 |
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 = 3636.3668 - 3611.62 = 24.7468
Récompense (distance jusqu'au take profit):
E - TP = 3611.62 - 3574.4998 = 37.1202
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 37.1202 / 24.7468 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1167.5447 | 100 | 0.3233 | 11.68 |
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 / 24.7468 = 0.32
Taille de position USD = 0.32 x 3611.62 = 1155.72
Donc, tu peux acheter 0.32 avec un stoploss a 3636.3668
Avec un position size USD de 1155.72$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 0.32 x 24.7468 = 7.92
Si Stop Loss atteint, tu perdras 7.92$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 0.32 x 37.1202 = 11.88
Si Take Profit atteint, tu gagneras 11.88$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.03 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.69 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.69 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7116 % | 103.85 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 3574.4998
[entry_price] => 3611.62
[stop_loss] => 3638.84148
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-24 04:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 3574.4998
[entry_price] => 3611.62
[stop_loss] => 3641.31616
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-24 04:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 3574.4998
[entry_price] => 3611.62
[stop_loss] => 3643.79084
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-24 04:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 3574.4998
[entry_price] => 3611.62
[stop_loss] => 3648.7402
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-24 06:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 5.52
[max_drawdown] => 45.32
[rr_ratio] => 0.12
[high] => 3656.94000000
[low] => 3606.10000000
[mfe_pct] => 0.15
[mae_pct] => 1.25
[mfe_mae_ratio] => 0.12
[candles_analyzed] => 24
[start_at] => 2025-07-24T04:09:58-04:00
[end_at] => 2025-07-24T06:09:58-04:00
)
[long_term] => Array
(
[max_gain] => 21.46
[max_drawdown] => 48.37
[rr_ratio] => 0.44
[high] => 3659.99000000
[low] => 3590.16000000
[mfe_pct] => 0.59
[mae_pct] => 1.34
[mfe_mae_ratio] => 0.44
[candles_analyzed] => 72
[start_at] => 2025-07-24T04:09:58-04:00
[end_at] => 2025-07-24T10:09:58-04:00
)
[breakout] => Array
(
[high_before] => 3657.42000000
[high_after] => 3659.99000000
[low_before] => 3505.00000000
[low_after] => 3590.16000000
[is_new_high] =>
[is_new_low] =>
)
)