Short Trade on FET 22 Jun 2025 at 18:48:34
Take profit at 0.5729 (1.43 %) and Stop Loss at 0.5867 (0.95 %)
Short Trade on FET 22 Jun 2025 at 18:48:34
Take profit at 0.5729 (1.43 %) and Stop Loss at 0.5867 (0.95 %)
Position size of 845.2097 $
Take profit at 0.5729 (1.43 %) and Stop Loss at 0.5867 (0.95 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.44 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.690267 |
Indicators:
99499
0.0115746
100650
0.690267
100765
-0.00114282
100650
102793
-0.0208482
100650
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Jun 2025 18:48:34 |
22 Jun 2025 20:15:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.5812 | 0.5867 | 0.5729 | 1.51 | 0.1477 |
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 = 0.5867 - 0.5812 = 0.0054999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.5812 - 0.5729 = 0.0083000000000001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0083000000000001 / 0.0054999999999999 = 1.5091
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 845.2097 | 100 | 1454.2493 | 8.45 |
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 / 0.0054999999999999 = 1454.55
Taille de position USD = 1454.55 x 0.5812 = 845.38
Donc, tu peux acheter 1454.55 avec un stoploss a 0.5867
Avec un position size USD de 845.38$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1454.55 x 0.0054999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1454.55 x 0.0083000000000001 = 12.07
Si Take Profit atteint, tu gagneras 12.07$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.43 % | 12.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.95 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.95 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2732 % | 134.55 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.5729
[entry_price] => 0.5812
[stop_loss] => 0.58725
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-22 20:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.5729
[entry_price] => 0.5812
[stop_loss] => 0.5878
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-22 20:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.5729
[entry_price] => 0.5812
[stop_loss] => 0.58835
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-22 20:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.5729
[entry_price] => 0.5812
[stop_loss] => 0.58945
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-22 20:20:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0011000000000001
[max_drawdown] => 0.0138
[rr_ratio] => 0.08
[high] => 0.59500000
[low] => 0.58010000
[mfe_pct] => 0.19
[mae_pct] => 2.37
[mfe_mae_ratio] => 0.08
[candles_analyzed] => 24
[start_at] => 2025-06-22T18:48:34-04:00
[end_at] => 2025-06-22T20:48:34-04:00
)
[long_term] => Array
(
[max_gain] => 0.0011000000000001
[max_drawdown] => 0.0138
[rr_ratio] => 0.08
[high] => 0.59500000
[low] => 0.58010000
[mfe_pct] => 0.19
[mae_pct] => 2.37
[mfe_mae_ratio] => 0.08
[candles_analyzed] => 72
[start_at] => 2025-06-22T18:48:34-04:00
[end_at] => 2025-06-23T00:48:34-04:00
)
[breakout] => Array
(
[high_before] => 0.58410000
[high_after] => 0.59500000
[low_before] => 0.54750000
[low_after] => 0.58010000
[is_new_high] =>
[is_new_low] =>
)
)