Short Trade on FLOKI 05 Jun 2025 at 19:30:07
Take profit at 7.614E-5 (1.17 %) and Stop Loss at 7.764E-5 (0.78 %)
Short Trade on FLOKI 05 Jun 2025 at 19:30:07
Take profit at 7.614E-5 (1.17 %) and Stop Loss at 7.764E-5 (0.78 %)
Position size of 1025.2094 $
Take profit at 7.614E-5 (1.17 %) and Stop Loss at 7.764E-5 (0.78 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.55 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.832537 |
Indicators:
102255
-0.00672849
101567
0.832537
103509
-0.0187591
101567
104584
-0.0288459
101567
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Jun 2025 19:30:07 |
05 Jun 2025 20:30:00 |
59 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 7.704E-5 | 7.764E-5 | 7.614E-5 | 1.5 | 2.912E-5 |
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 = 7.764E-5 - 7.704E-5 = 6.0E-7
Récompense (distance jusqu'au take profit):
E - TP = 7.704E-5 - 7.614E-5 = 8.9999999999999E-7
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 8.9999999999999E-7 / 6.0E-7 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1025.2094 | 100 | 13307495.4536 | 10.25 |
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 / 6.0E-7 = 13333333.33
Taille de position USD = 13333333.33 x 7.704E-5 = 1027.2
Donc, tu peux acheter 13333333.33 avec un stoploss a 7.764E-5
Avec un position size USD de 1027.2$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 13333333.33 x 6.0E-7 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 13333333.33 x 8.9999999999999E-7 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.17 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.78 % | 7.98 $ |
| PNL | PNL % |
|---|---|
| -7.98 $ | -0.78 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.5700934579439 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 7.614E-5
[entry_price] => 7.704E-5
[stop_loss] => 7.77E-5
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-05 20:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 7.614E-5
[entry_price] => 7.704E-5
[stop_loss] => 7.776E-5
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-05 20:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 7.614E-5
[entry_price] => 7.704E-5
[stop_loss] => 7.782E-5
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-05 20:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 7.614E-5
[entry_price] => 7.704E-5
[stop_loss] => 7.794E-5
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-05 20:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 7.4E-7
[max_drawdown] => 2.4E-6
[rr_ratio] => 0.31
[high] => 0.00007944
[low] => 0.00007630
[mfe_pct] => 0.96
[mae_pct] => 3.12
[mfe_mae_ratio] => 0.31
[candles_analyzed] => 24
[start_at] => 2025-06-05T19:30:07-04:00
[end_at] => 2025-06-05T21:30:07-04:00
)
[long_term] => Array
(
[max_gain] => 7.4E-7
[max_drawdown] => 3.87E-6
[rr_ratio] => 0.19
[high] => 0.00008091
[low] => 0.00007630
[mfe_pct] => 0.96
[mae_pct] => 5.02
[mfe_mae_ratio] => 0.19
[candles_analyzed] => 72
[start_at] => 2025-06-05T19:30:07-04:00
[end_at] => 2025-06-06T01:30:07-04:00
)
[breakout] => Array
(
[high_before] => 0.00007870
[high_after] => 0.00008091
[low_before] => 0.00007457
[low_after] => 0.00007630
[is_new_high] =>
[is_new_low] =>
)
)