Short Trade on TON 05 Jul 2025 at 03:23:45
Take profit at 2.7462 (0.3 %) and Stop Loss at 2.76 (0.2 %)
Short Trade on TON 05 Jul 2025 at 03:23:45
Take profit at 2.7462 (0.3 %) and Stop Loss at 2.76 (0.2 %)
Position size of 4004.8137 $
Take profit at 2.7462 (0.3 %) and Stop Loss at 2.76 (0.2 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.55 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.39 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.640256 |
Indicators:
108070
8.35495E-5
108080
0.640256
108161
-0.00107562
108044
108122
-0.000396403
108080
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Jul 2025 03:23:45 |
05 Jul 2025 03:40:00 |
16 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.7545 | 2.76 | 2.7462 | 1.51 | 1.2943 |
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 = 2.76 - 2.7545 = 0.0054999999999996
Récompense (distance jusqu'au take profit):
E - TP = 2.7545 - 2.7462 = 0.0083000000000002
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0083000000000002 / 0.0054999999999996 = 1.5091
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 4004.8137 | 100 | 1453.9168 | 40.05 |
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 / 0.0054999999999996 = 1454.55
Taille de position USD = 1454.55 x 2.7545 = 4006.56
Donc, tu peux acheter 1454.55 avec un stoploss a 2.76
Avec un position size USD de 4006.56$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1454.55 x 0.0054999999999996 = 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 0.0083000000000002 = 12.07
Si Take Profit atteint, tu gagneras 12.07$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.3 % | 12.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.2 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.73 $ | -0.22 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.2324 % | 106.65 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.746
[entry_price] => 2.754
[stop_loss] => 2.7606
[rr_ratio] => 1.21
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-05 04:25:00
[result] => win
)
[1.2] => Array
(
[take_profit] => 2.746
[entry_price] => 2.754
[stop_loss] => 2.7612
[rr_ratio] => 1.11
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-05 04:25:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 2.746
[entry_price] => 2.754
[stop_loss] => 2.7618
[rr_ratio] => 1.03
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-05 04:25:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 2.746
[entry_price] => 2.754
[stop_loss] => 2.763
[rr_ratio] => 0.89
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-05 04:25:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0147
[max_drawdown] => 0.0059
[rr_ratio] => 2.49
[high] => 2.76040000
[low] => 2.73980000
[mfe_pct] => 0.53
[mae_pct] => 0.21
[mfe_mae_ratio] => 2.49
[candles_analyzed] => 24
[start_at] => 2025-07-05T03:23:45-04:00
[end_at] => 2025-07-05T05:23:45-04:00
)
[long_term] => Array
(
[max_gain] => 0.0209
[max_drawdown] => 0.0059
[rr_ratio] => 3.54
[high] => 2.76040000
[low] => 2.73360000
[mfe_pct] => 0.76
[mae_pct] => 0.21
[mfe_mae_ratio] => 3.54
[candles_analyzed] => 72
[start_at] => 2025-07-05T03:23:45-04:00
[end_at] => 2025-07-05T09:23:45-04:00
)
[breakout] => Array
(
[high_before] => 2.75550000
[high_after] => 2.76040000
[low_before] => 2.71920000
[low_after] => 2.73360000
[is_new_high] =>
[is_new_low] =>
)
)