Long Trade on TON 09 Jul 2025 at 03:44:29
Take profit at 2.809 (0.26 %) and Stop Loss at 2.797 (0.17 %)
Long Trade on TON 09 Jul 2025 at 03:44:29
Take profit at 2.809 (0.26 %) and Stop Loss at 2.797 (0.17 %)
Position size of 4686.3449 $
Take profit at 2.809 (0.26 %) and Stop Loss at 2.797 (0.17 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.67 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.55 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.346319 |
Indicators:
108662
-0.000261385
108634
0.346319
108602
0.00114212
108726
108420
0.00196986
108634
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 09 Jul 2025 03:44:29 |
09 Jul 2025 05:15:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.8018 | 2.797 | 2.809 | 1.5 | 1.2957 |
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 = 2.797 - 2.8018 = -0.0047999999999999
Récompense (distance jusqu'au take profit):
E - TP = 2.8018 - 2.809 = -0.0072000000000001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0072000000000001 / -0.0047999999999999 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 4686.3449 | 100 | 1672.6194 | 46.86 |
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 / -0.0047999999999999 = -1666.67
Taille de position USD = -1666.67 x 2.8018 = -4669.68
Donc, tu peux acheter -1666.67 avec un stoploss a 2.797
Avec un position size USD de -4669.68$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1666.67 x -0.0047999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1666.67 x -0.0072000000000001 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.26 % | 12.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.17 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| -8.36 $ | -0.18 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.207 % | 116.03 % | 7 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.809
[entry_price] => 2.802
[stop_loss] => 2.7965
[rr_ratio] => 1.27
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-09 05:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.809
[entry_price] => 2.802
[stop_loss] => 2.796
[rr_ratio] => 1.17
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-09 05:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.809
[entry_price] => 2.802
[stop_loss] => 2.7955
[rr_ratio] => 1.08
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-09 05:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.809
[entry_price] => 2.802
[stop_loss] => 2.7945
[rr_ratio] => 0.93
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-09 06:55:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0055999999999998
[max_drawdown] => 0.0064000000000002
[rr_ratio] => 0.87
[high] => 2.80740000
[low] => 2.79540000
[mfe_pct] => 0.2
[mae_pct] => 0.23
[mfe_mae_ratio] => 0.87
[candles_analyzed] => 24
[start_at] => 2025-07-09T03:44:29-04:00
[end_at] => 2025-07-09T05:44:29-04:00
)
[long_term] => Array
(
[max_gain] => 0.0277
[max_drawdown] => 0.0064000000000002
[rr_ratio] => 4.33
[high] => 2.82950000
[low] => 2.79540000
[mfe_pct] => 0.99
[mae_pct] => 0.23
[mfe_mae_ratio] => 4.33
[candles_analyzed] => 72
[start_at] => 2025-07-09T03:44:29-04:00
[end_at] => 2025-07-09T09:44:29-04:00
)
[breakout] => Array
(
[high_before] => 2.81620000
[high_after] => 2.82950000
[low_before] => 2.80030000
[low_after] => 2.79540000
[is_new_high] => 1
[is_new_low] =>
)
)