Short Trade on TAO 08 Jul 2025 at 02:15:51
Take profit at 319.0275 (0.42 %) and Stop Loss at 321.265 (0.28 %)
Short Trade on TAO 08 Jul 2025 at 02:15:51
Take profit at 319.0275 (0.42 %) and Stop Loss at 321.265 (0.28 %)
Position size of 2863.627 $
Take profit at 319.0275 (0.42 %) and Stop Loss at 321.265 (0.28 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.41 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.742081 |
Indicators:
107963
0.00207413
108187
0.742081
108245
-0.000531589
108187
108426
-0.00219962
108187
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 08 Jul 2025 02:15:51 |
08 Jul 2025 03:30:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 320.37 | 321.265 | 319.0275 | 1.5 | 188.79 |
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 = 321.265 - 320.37 = 0.89499999999998
Récompense (distance jusqu'au take profit):
E - TP = 320.37 - 319.0275 = 1.3425
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 1.3425 / 0.89499999999998 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2863.627 | 100 | 8.9385 | 28.64 |
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 / 0.89499999999998 = 8.94
Taille de position USD = 8.94 x 320.37 = 2864.11
Donc, tu peux acheter 8.94 avec un stoploss a 321.265
Avec un position size USD de 2864.11$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8.94 x 0.89499999999998 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8.94 x 1.3425 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.42 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.28 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.04 $ | -0.28 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4089 % | 145.57 % | 6 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 319
[entry_price] => 320.4
[stop_loss] => 321.39
[rr_ratio] => 1.41
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-08 03:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 319
[entry_price] => 320.4
[stop_loss] => 321.48
[rr_ratio] => 1.3
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-08 03:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 319
[entry_price] => 320.4
[stop_loss] => 321.57
[rr_ratio] => 1.2
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-08 03:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 319
[entry_price] => 320.4
[stop_loss] => 321.75
[rr_ratio] => 1.04
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-08 04:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 1.23
[max_drawdown] => 2.05
[rr_ratio] => 0.6
[high] => 322.42000000
[low] => 319.14000000
[mfe_pct] => 0.38
[mae_pct] => 0.64
[mfe_mae_ratio] => 0.6
[candles_analyzed] => 24
[start_at] => 2025-07-08T02:15:51-04:00
[end_at] => 2025-07-08T04:15:51-04:00
)
[long_term] => Array
(
[max_gain] => 2
[max_drawdown] => 2.35
[rr_ratio] => 0.85
[high] => 322.72000000
[low] => 318.37000000
[mfe_pct] => 0.62
[mae_pct] => 0.73
[mfe_mae_ratio] => 0.85
[candles_analyzed] => 72
[start_at] => 2025-07-08T02:15:51-04:00
[end_at] => 2025-07-08T08:15:51-04:00
)
[breakout] => Array
(
[high_before] => 320.49000000
[high_after] => 322.72000000
[low_before] => 315.63000000
[low_after] => 318.37000000
[is_new_high] =>
[is_new_low] =>
)
)