Long Trade on TON 19 Jun 2025 at 23:04:54
Take profit at 2.9622 (0.27 %) and Stop Loss at 2.9489 (0.18 %)
Long Trade on TON 19 Jun 2025 at 23:04:54
Take profit at 2.9622 (0.27 %) and Stop Loss at 2.9489 (0.18 %)
Position size of 4442.7124 $
Take profit at 2.9622 (0.27 %) and Stop Loss at 2.9489 (0.18 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.74 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.57 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.649735 |
Indicators:
104498
0.000219811
104521
0.649735
104535
-0.000133135
104521
105020
-0.00474861
104521
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 19 Jun 2025 23:04:54 |
19 Jun 2025 23:05:00 |
6 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.9542 | 2.9489 | 2.9622 | 1.51 | 1.2942 |
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 = 2.9489 - 2.9542 = -0.0053000000000001
Récompense (distance jusqu'au take profit):
E - TP = 2.9542 - 2.9622 = -0.008
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.008 / -0.0053000000000001 = 1.5094
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 4442.7124 | 100 | 1503.8631 | 44.43 |
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 / -0.0053000000000001 = -1509.43
Taille de position USD = -1509.43 x 2.9542 = -4459.16
Donc, tu peux acheter -1509.43 avec un stoploss a 2.9489
Avec un position size USD de -4459.16$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1509.43 x -0.0053000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1509.43 x -0.008 = 12.08
Si Take Profit atteint, tu gagneras 12.08$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.27 % | 12.03 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.18 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.52 $ | -0.17 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.1896 % | 111.99 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.962
[entry_price] => 2.954
[stop_loss] => 2.9485
[rr_ratio] => 1.45
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-19 23:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.962
[entry_price] => 2.954
[stop_loss] => 2.948
[rr_ratio] => 1.33
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-20 00:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.962
[entry_price] => 2.954
[stop_loss] => 2.9475
[rr_ratio] => 1.23
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-20 00:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.962
[entry_price] => 2.954
[stop_loss] => 2.9465
[rr_ratio] => 1.07
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-20 00:20:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0055999999999998
[max_drawdown] => 0.016
[rr_ratio] => 0.35
[high] => 2.95980000
[low] => 2.93820000
[mfe_pct] => 0.19
[mae_pct] => 0.54
[mfe_mae_ratio] => 0.35
[candles_analyzed] => 24
[start_at] => 2025-06-19T23:04:54-04:00
[end_at] => 2025-06-20T01:04:54-04:00
)
[long_term] => Array
(
[max_gain] => 0.0298
[max_drawdown] => 0.0194
[rr_ratio] => 1.54
[high] => 2.98400000
[low] => 2.93480000
[mfe_pct] => 1.01
[mae_pct] => 0.66
[mfe_mae_ratio] => 1.54
[candles_analyzed] => 72
[start_at] => 2025-06-19T23:04:54-04:00
[end_at] => 2025-06-20T05:04:54-04:00
)
[breakout] => Array
(
[high_before] => 2.98140000
[high_after] => 2.98400000
[low_before] => 2.95420000
[low_after] => 2.93480000
[is_new_high] => 1
[is_new_low] =>
)
)